[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"chains-groupcat":3,"tech-results-list":383,"tags-groups":894,"achievements-hero-experts":1849},[4,15,22,27,34,42,51,58,65,71,77,85,90,96,104,110,115,122,126,131,136,142,147,153,158,164,170,176,181,187,193,198,203,208,213,218,224,230,235,241,245,251,255,260,266,272,278,283,289,296,302,306,311,317,323,329,335,340,345,350,356,360,366,371,375,379],{"id":5,"name":6,"category":7,"groupCategory":8,"intro":9,"scale":10,"maturity":11,"checkState":12,"nodeCount":13,"companyCount":14},"ch60_E11","LED与第三代半导体产业链","战略性新兴产业","EMERGING","碳化硅、氮化镓、LED照明、功率器件",null,"成长期","VERIFIED",8,92,{"id":16,"name":17,"category":7,"groupCategory":8,"intro":18,"scale":19,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":21},"e0c81c4e-878c-4944-9633-2c202497ef16","云计算与大数据产业链","云服务、数据中心、数据处理、数据交易","中国云计算市场规模约8288亿元（信通院，2024年，同比+34.4%），其中公有云6216亿元；智能算力规模超1590 EFLOPS（工信部，2026-01）",12,163,{"id":23,"name":24,"category":7,"groupCategory":8,"intro":25,"scale":26,"maturity":11,"checkState":12,"nodeCount":13,"companyCount":14},"00ee3af3-fe37-4d60-81ef-2833c238866c","人工智能产业链","AI芯片、大模型、算法框架、AI应用","中国人工智能核心产业规模超1.2万亿元(工信部，2025)",{"id":28,"name":29,"category":7,"groupCategory":8,"intro":30,"scale":10,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":33},"ch60_S02","人才与教育供给链","高等教育、职业教育、人才引进、技能培训","成熟期",7,28,{"id":35,"name":36,"category":37,"groupCategory":38,"intro":39,"scale":10,"maturity":40,"checkState":12,"nodeCount":32,"companyCount":41},"ch60_T08","传统汽车产业链","传统产业","TRADITIONAL","燃油车整车及零部件，向新能源汽车转型","转型期",119,{"id":43,"name":44,"category":45,"groupCategory":46,"intro":47,"scale":10,"maturity":48,"checkState":12,"nodeCount":49,"companyCount":50},"ch60_F12","元宇宙与XR产业链","未来产业","FUTURE","VR\u002FAR\u002FMR、数字孪生、数字人、空间计算","孕育期",6,79,{"id":52,"name":53,"category":54,"groupCategory":8,"intro":55,"scale":10,"maturity":11,"checkState":12,"nodeCount":56,"companyCount":57},"ch60_E26","光子（光电子）产业链","新兴产业","从光电子材料、光芯片、光器件\u002F模块，到激光装备、光显示、光传感、光计算与光子集成，是AI算力与信息时代的“光速动脉”。",10,34,{"id":59,"name":60,"category":45,"groupCategory":46,"intro":61,"scale":62,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":64},"48f1ae82-a07c-4d67-93c0-abb71a5d1e0d","具身智能与人形机器人产业链","人形机器人本体、具身大模型、灵巧手、核心零部件","中国人形机器人整机企业超140家、发布产品超330款(工信部，2025)；产业整体处量产初期，市场规模待权威口径",9,138,{"id":66,"name":67,"category":7,"groupCategory":8,"intro":68,"scale":69,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":70},"d5c035fb-13ce-442e-b94e-6ac79b0b5b85","区块链与Web3产业链","区块链底层、联盟链、数字资产、分布式应用","中国区块链市场规模IDC口径2025年超32亿美元；国内区块链信息服务备案编号累计发放20批次4223个（国家网信办《国家信息化发展报告2025》）",44,{"id":72,"name":73,"category":37,"groupCategory":38,"intro":74,"scale":75,"maturity":40,"checkState":12,"nodeCount":63,"companyCount":76},"fa3b59f4-0fc7-4f9d-bff0-94d4498b3e7c","医药制造产业链（传统）","化学药、中药、生物药传统制造","2025年规模以上医药工业企业营业收入约2.96万亿元(国家统计局);中国生物医药市场规模约2.24万亿元(行业研究机构口径,2025)",59,{"id":78,"name":79,"category":7,"groupCategory":46,"intro":80,"scale":81,"maturity":82,"checkState":12,"nodeCount":83,"companyCount":84},"90644f83-8a70-4b3a-ad53-8a2b0e397d5a","卫星互联网","卫星互联网指以低轨星座为基础，提供宽带通信、导航增强、物联网接入等天地一体化信息服务的产业。本链聚焦卫星组网运营、地面设备与终端及行业应用；火箭与卫星制造发射的运载环节归入'商业航天'链。核心工程包括GW星座(中国星网约1.3万颗)与千帆\u002FG60星座(垣信约1.5万颗)。到2030年产业链规模有望突破1.2万亿元(券商口径)。","中国低轨卫星互联网到2030年带动产业链规模有望突破1.2万亿元(券商\u002F机构口径，2026)；2024年起两大星座进入高密度组网","TRL6-8(组网\u002F试运行)；消费终端TRL5-7",15,40,{"id":86,"name":87,"category":45,"groupCategory":46,"intro":88,"scale":10,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":89},"ch60_F07","可控核聚变产业链","托卡马克、高温超导、聚变堆材料",84,{"id":91,"name":92,"category":45,"groupCategory":46,"intro":93,"scale":94,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":95},"f3e1775a-755b-4ffd-acaf-e4bff5f6d75b","合成生物产业链","合成生物学平台、生物制造、细胞工厂","中国生物制造产业总规模约1.1万亿元,生物发酵产品产量占全球70%以上(工信部,2025);其中食品及添加剂、生物制药两个细分领域年产值均超4000亿元",91,{"id":97,"name":98,"category":7,"groupCategory":46,"intro":99,"scale":100,"maturity":101,"checkState":12,"nodeCount":102,"companyCount":103},"9b4f4311-cda6-4461-b352-ab269ef8688b","商业航天","商业航天指以市场化方式配置资源、由商业主体提供运载火箭研制发射、卫星制造及相关服务的产业。本链聚焦民营\u002F商业运载火箭与商业卫星的研制、发射、测运控及应用；卫星组网运营与通信导航应用的终端\u002F运营部分与'卫星互联网'链交叉。2024年中国商业航天市场规模约2.3万亿元(含带动效应，口径较宽)。","中国商业航天市场规模约2.3万亿元(国家发改委专家口径\u002F中商产业研究院，2024)，预计2025年约2.8万亿元；该口径含产业链带动效应，直接航天制造发射产值远小于此","TRL6-8(火箭发射常态化)；可重复使用火箭TRL4-6；太空旅游TRL3-4",18,57,{"id":105,"name":106,"category":45,"groupCategory":46,"intro":107,"scale":108,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":109},"deccf963-6b65-4294-9291-483b47327169","基因与生物技术产业链","基因编辑、合成生物学、生物制造","中国基因组测序市场规模约328.6亿元(灼识咨询\u002F中国医疗器械行业协会基因检测分会白皮书,2025);中国细胞与基因治疗(CGT)市场规模2025年首次突破500亿元(行业公开统计,2025)",37,{"id":111,"name":112,"category":7,"groupCategory":8,"intro":113,"scale":114,"maturity":11,"checkState":12,"nodeCount":32,"companyCount":109},"3372d10f-1628-4dfb-b341-db35656c5d6d","基础软件与工业软件产业链","操作系统、数据库、工业软件、CAD\u002FEDA","2025年我国工业互联网核心产业规模超1.6万亿元，带动工业增加值约2.5万亿元；具有一定行业影响力的工业互联网平台超360家（工信部，2026）",{"id":116,"name":117,"category":7,"groupCategory":8,"intro":118,"scale":119,"maturity":120,"checkState":12,"nodeCount":83,"companyCount":121},"b6de4fda-3782-483a-a0f8-d2fffa8d8224","大数据\u002F数据要素","大数据\u002F数据要素产业围绕数据资源的采集、治理、存储、流通交易与开发利用，覆盖上游数据采集与数据库\u002F存储、中游数据治理与数据中台\u002F数据交易与公共数据授权运营、下游BI分析与行业数据应用。本链聚焦数据作为生产要素的流通与价值释放，区别于偏算力基础设施的云计算\u002F算力链、偏模型算法的人工智能链。2025年我国数据产业规模达6.78万亿元、数据企业48.2万家（国家数据局，2026-08）。","2025年我国数据产业规模达6.78万亿元，同比增长15.7%，数据企业48.2万家（国家数据局，2026-08）","TRL7-9（大数据平台成熟商用，数据要素流通\u002F授权运营处制度建设早期）",63,{"id":123,"name":124,"category":37,"groupCategory":38,"intro":125,"scale":10,"maturity":31,"checkState":12,"nodeCount":49,"companyCount":33},"ch60_T11","家电制造产业链","家用电器制造，向智能家电升级",{"id":127,"name":128,"category":37,"groupCategory":38,"intro":129,"scale":130,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":103},"9f188ad6-e927-4dda-afc4-dde4683089eb","工程机械产业链","工程机械、矿山机械、农业机械制造","2024年装备制造业增加值占规上工业34.6%；工业机器人产量55.6万套(+14.2%)、销量30.2万台占全球54%，机器人行业营收2378.9亿元(国家统计局\u002F工信部,2024)",{"id":132,"name":133,"category":37,"groupCategory":38,"intro":134,"scale":10,"maturity":40,"checkState":12,"nodeCount":13,"companyCount":135},"ch60_T04","建材产业链","水泥、玻璃、陶瓷、新型建材",49,{"id":137,"name":138,"category":37,"groupCategory":38,"intro":139,"scale":140,"maturity":40,"checkState":12,"nodeCount":56,"companyCount":141},"52294d28-07dc-4f86-844f-6b5bea542726","建筑与房地产产业链","房屋建筑、土木工程建筑、建筑安装装饰","2024年全国建筑业总产值32.7万亿元、增加值约9万亿元，装配式建筑占新建建筑比例达30%以上(住建部,2024\u002F十四五)",72,{"id":143,"name":144,"category":7,"groupCategory":8,"intro":145,"scale":10,"maturity":11,"checkState":12,"nodeCount":32,"companyCount":146},"ch60_E24","数字创意产业链","数字内容、创意设计、网络游戏、短视频、元宇宙",90,{"id":148,"name":149,"category":7,"groupCategory":8,"intro":150,"scale":151,"maturity":11,"checkState":12,"nodeCount":13,"companyCount":152},"e2575327-d150-4ced-be3f-d49c6d2ecedb","新一代通信网络产业链","5G\u002F6G、光通信、卫星通信、网络设备","我国已建成5G基站483.8万座、5G-A覆盖超330个城市，移动物联网终端28.88亿户（工信部，2026-01）；新一代信息技术产业整体规模无单一官方口径，待核实",53,{"id":154,"name":155,"category":7,"groupCategory":8,"intro":156,"scale":10,"maturity":11,"checkState":12,"nodeCount":63,"companyCount":157},"ch60_S01","新型基础设施要素链","5G基站、数据中心、工业互联网、算力枢纽",47,{"id":159,"name":160,"category":7,"groupCategory":8,"intro":161,"scale":162,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":163},"8863836c-acbe-4a9e-9321-d68ac6a064d2","新型显示产业链","LCD\u002FOLED\u002FMicroLED面板、显示材料、显示装备","中国新型显示产业产值约7400亿元(中国电子信息产业发展研究院\u002F赛迪，2024)，全球市场占比超49%；2025年总产值突破8000亿元",41,{"id":165,"name":166,"category":7,"groupCategory":8,"intro":167,"scale":168,"maturity":11,"checkState":12,"nodeCount":13,"companyCount":169},"b0614f9a-1b75-4f3d-8c55-ad54651ed608","新材料产业链","先进金属材料、高分子材料、复合材料、纳米材料","中国新材料产业总产值2024年约8.7万亿元,预计2025年约10万亿元(工信部\u002F赛迪口径,2025)",142,{"id":171,"name":172,"category":7,"groupCategory":8,"intro":173,"scale":174,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":175},"91feac65-a1bd-4369-a4e1-7206bb918d5a","新能源发电与储能产业链","光伏、风电、锂电储能、氢能储能、新型储能，首批试点","2025年全国风电光伏新增装机超4.38亿千瓦(风电1.2亿、光伏3.18亿),累计突破18.4亿千瓦(国家能源局,2026-02);新型储能累计突破1亿千瓦(国家发改委,2026-03)",206,{"id":177,"name":178,"category":7,"groupCategory":8,"intro":179,"scale":10,"maturity":11,"checkState":12,"nodeCount":63,"companyCount":180},"ch60_E19","新能源装备产业链","光伏设备、风电设备、锂电设备、氢能设备",80,{"id":182,"name":183,"category":7,"groupCategory":8,"intro":184,"scale":185,"maturity":31,"checkState":12,"nodeCount":20,"companyCount":186},"6cae6b65-a8de-451e-a5af-b47ed1712fcc","智能终端产业链","智能手机、PC、可穿戴设备、智能家电","2025年中国智能手机出货量约2.85亿部，同比-0.6%，华为16.4%份额第一（IDC，2026-01）；全球智能手机出货约12.6亿部，同比+1.9%",225,{"id":188,"name":189,"category":7,"groupCategory":8,"intro":190,"scale":191,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":192},"2eb24ee1-32bc-4b5e-ad92-d6702a67412e","智能网联新能源汽车产业链","新能源整车、三电系统、自动驾驶、车联网","2025年新能源汽车产销分别完成1662.6万辆和1649万辆,新车销量渗透率47.9%(中汽协\u002F工信部,2026-01)",99,{"id":194,"name":195,"category":37,"groupCategory":38,"intro":196,"scale":197,"maturity":31,"checkState":12,"nodeCount":63,"companyCount":64},"1e4e94ff-2688-4052-9a78-0fefebcd78cf","有色金属产业链","有色金属冶炼和压延加工，包含铜铝铅锌和稀有金属","2024年全国煤炭产量47.8亿吨、约占一次能源生产总量66.6%，煤矿智能化产能占比超50%(中国煤炭工业协会\u002F国家能源局,2024)",{"id":199,"name":200,"category":45,"groupCategory":46,"intro":201,"scale":10,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":202},"ch60_F11","未来信息产业链","光计算、存算一体、神经形态芯片",118,{"id":204,"name":205,"category":45,"groupCategory":46,"intro":206,"scale":10,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":207},"ch60_F10","未来健康产业链","再生医学、抗衰老、精准医疗、数字疗法",39,{"id":209,"name":210,"category":45,"groupCategory":46,"intro":211,"scale":10,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":212},"ch60_F15","未来制造产业链","4D打印、自组装制造、分子制造、纳米制造",144,{"id":214,"name":215,"category":45,"groupCategory":46,"intro":216,"scale":10,"maturity":48,"checkState":12,"nodeCount":49,"companyCount":217},"ch60_F08","未来材料产业链","石墨烯、超导材料、超材料、智能材料",70,{"id":219,"name":220,"category":45,"groupCategory":46,"intro":221,"scale":222,"maturity":48,"checkState":12,"nodeCount":49,"companyCount":223},"c14c039a-3453-4e0f-9403-5ae2cdc08612","未来网络产业链","6G、未来互联网架构、空天地一体化网络","6G处预研期，无独立商用市场规模(中国信通院\u002F工信部，2025)；预计2030年前后商用",30,{"id":225,"name":226,"category":45,"groupCategory":46,"intro":227,"scale":228,"maturity":48,"checkState":12,"nodeCount":63,"companyCount":229},"ee14d5c8-2b2c-455d-be3b-cb80a59c445c","未来能源产业链","新型核能、空间太阳能、零碳能源系统","待核实(未来能源无统一市场规模口径;参照:2025年我国新型储能累计装机突破1亿千瓦,占全球40%以上)",100,{"id":231,"name":232,"category":37,"groupCategory":38,"intro":233,"scale":10,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":234},"ch60_T15","橡胶塑料制品产业链","橡胶和塑料制品业，支撑性材料",75,{"id":236,"name":237,"category":45,"groupCategory":46,"intro":238,"scale":239,"maturity":48,"checkState":12,"nodeCount":32,"companyCount":240},"29473ba5-a97f-4dc4-bf08-62a009d87501","氢能与燃料电池产业链","制氢储氢运氢加氢、燃料电池","待核实(氢能产业链整体规模无统一口径;截至2024年底可再生能源电解水制氢已建成产能约12.5万吨\u002F年,国家能源局《中国氢能发展报告2025》)",73,{"id":242,"name":243,"category":7,"groupCategory":8,"intro":244,"scale":10,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":76},"ch60_E15","海洋装备产业链","深海装备、海上风电、海水淡化、海洋生物医药",{"id":246,"name":247,"category":45,"groupCategory":46,"intro":248,"scale":249,"maturity":48,"checkState":12,"nodeCount":20,"companyCount":250},"f33f81a5-0e29-46b3-85a8-883bb20381c3","深海空天开发产业链","深海探测、太空开发、近地轨道经济","待核实(深海科技无统一市场规模口径;2025年海洋工程装备制造业增加值约1858亿元,其中深海高端装备为核心增量)",173,{"id":252,"name":253,"category":37,"groupCategory":38,"intro":254,"scale":10,"maturity":31,"checkState":12,"nodeCount":49,"companyCount":50},"4279a2a3-b216-4dcc-885a-2895599733d5","烟草及其他传统制造产业链","烟草制品业、其他制造业兜底",{"id":256,"name":257,"category":37,"groupCategory":38,"intro":258,"scale":10,"maturity":31,"checkState":12,"nodeCount":20,"companyCount":259},"ch60_T18","煤炭产业链","煤炭勘探、建设、智能化采掘、洗选、储运，延伸燃煤发电、清洁供热与现代煤化工，是国家能源安全的“压舱石”。",35,{"id":261,"name":262,"category":7,"groupCategory":8,"intro":263,"scale":264,"maturity":11,"checkState":12,"nodeCount":32,"companyCount":265},"7f61bb29-c16e-416f-9315-59b78b7b5ea1","物联网产业链","传感器、RFID、物联网模组、物联网平台","我国移动物联网终端用户达28.88亿户，占移动终端连接数61.3%（工信部《2025年通信业统计公报》，2026-01）；物联网整体市场规模待核实",54,{"id":267,"name":268,"category":37,"groupCategory":38,"intro":269,"scale":270,"maturity":11,"checkState":12,"nodeCount":63,"companyCount":271},"38794d83-8b10-4ca3-bff4-398c57e4ceef","现代农业与生物育种产业链","生物育种、智慧农业、农产品深加工、农机装备","2024年全国粮食总产量14130亿斤、农作物耕种收综合机械化率76.7%、农业科技进步贡献率超63%、良种覆盖率超96%(农业农村部\u002F国家统计局,2024-2025)",129,{"id":273,"name":274,"category":37,"groupCategory":38,"intro":275,"scale":276,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":277},"a20c5f10-4477-4739-abca-fb0550ebdcc2","现代商贸物流产业链","批发零售、物流配送、仓储邮政","2024年交通固定资产投资3.79万亿元、营业性货运量568.75亿吨、快递业务量1750.84亿件、高铁营业里程4.8万公里(交通运输部,2024)",32,{"id":279,"name":280,"category":7,"groupCategory":8,"intro":281,"scale":10,"maturity":11,"checkState":12,"nodeCount":63,"companyCount":282},"ch60_E20","生物医药产业链","创新药、生物制品、CXO、基因与细胞治疗",61,{"id":284,"name":285,"category":37,"groupCategory":38,"intro":286,"scale":287,"maturity":40,"checkState":12,"nodeCount":13,"companyCount":288},"14b1e674-0fa9-4436-bcaa-293d5530db1c","电力能源（传统）产业链","火电、水电、传统发电，向新型电力系统转型","2024年全国全社会用电量98521亿千瓦时、发电装机容量约33.5亿千瓦、发电量约10.09万亿千瓦时(国家能源局,2024)",69,{"id":290,"name":291,"category":37,"groupCategory":38,"intro":292,"scale":293,"maturity":31,"checkState":12,"nodeCount":294,"companyCount":295},"c8bc1bbd-78c7-4a80-bb70-736dbee84c96","石化化工产业链","石油加工、炼焦和化学原料和化学制品制造，向精细化工、新材料升级","2024年石化化工行业(不含油气开采)主营业务收入约15万亿元、乙烯产量超5000万吨(工信部,2024)",11,96,{"id":297,"name":298,"category":7,"groupCategory":8,"intro":299,"scale":300,"maturity":31,"checkState":12,"nodeCount":294,"companyCount":301},"6296069d-2d19-4c7b-9e33-5ecd638b9a7f","科技金融服务链","创投、产业基金、科技信贷、上市服务、知识产权金融","国家中小企业发展基金规模357亿元、累计带动股权融资超4800亿元；国家融资担保基金再担保累计4.73万亿元(财政部,2024)",51,{"id":303,"name":304,"category":37,"groupCategory":38,"intro":305,"scale":10,"maturity":31,"checkState":12,"nodeCount":13,"companyCount":146},"ch60_T05","纺织服装产业链","纺织业、纺织服装服饰业，向品牌化功能化升级",{"id":307,"name":308,"category":7,"groupCategory":8,"intro":309,"scale":310,"maturity":11,"checkState":12,"nodeCount":49,"companyCount":223},"b28f45aa-a435-46e4-af93-7a853d95ccda","网络安全产业链","网络安全、数据安全、工控安全、密码技术","2025年我国信息安全产品和服务收入2235亿元，同比+6.7%（工信部《2025年软件业运行情况》）；赛迪口径网络安全市场规模约964.8亿元（2025）",{"id":312,"name":313,"category":45,"groupCategory":46,"intro":314,"scale":315,"maturity":48,"checkState":12,"nodeCount":32,"companyCount":316},"2a253269-c571-41c3-8606-5870e748d81a","脑科学与类脑智能产业链","脑机接口、类脑计算、神经科学","中国脑机接口市场规模约32.0亿元(赛迪顾问，2024)；2025年有望突破38亿元，企业总量超200家",31,{"id":318,"name":319,"category":7,"groupCategory":8,"intro":320,"scale":321,"maturity":48,"checkState":12,"nodeCount":32,"companyCount":322},"55f40c95-c426-4213-9b23-1fefd4dd39ed","自动驾驶与低空经济产业链","L4+自动驾驶、eVTOL、低空飞行、无人系统","中国低空经济规模约6702.5亿元(赛迪顾问，2024)；2025年预计达1.5万亿元(中国民航局)，2035年有望突破3.5万亿元",60,{"id":324,"name":325,"category":7,"groupCategory":8,"intro":326,"scale":327,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":328},"2e3ee32f-a683-4ed6-a055-642829b99f2c","航空航天装备产业链","大飞机、通用航空、商业航天、卫星互联网","航空航天为国家队主导，无统一公开产业规模口径；C919累计交付16架(2024底)、订单超1400架",98,{"id":330,"name":331,"category":37,"groupCategory":38,"intro":332,"scale":333,"maturity":40,"checkState":12,"nodeCount":32,"companyCount":334},"dc6de969-6636-4914-a6cb-7be786597c08","船舶海工装备产业链","船舶制造、海洋工程装备，向高端化转型","2025年海洋工程装备制造业增加值约1858亿元(+10.2%),新接海工订单金额占世界44.6%(连续8年第一);海洋船舶工业增加值1811亿元(+25.1%),造船三大指标国际份额连续16年第一(自然资源部\u002F工信部,2026-03)",33,{"id":336,"name":337,"category":7,"groupCategory":8,"intro":338,"scale":339,"maturity":11,"checkState":12,"nodeCount":294,"companyCount":288},"f4c900b2-e906-4332-a55a-910a870d66e7","节能环保产业链","节能装备、环保装备、资源循环利用、碳达峰碳中和","2024年全国生态环保产业年营收连续三年超2.2万亿元；垃圾焚烧发电市场规模约730亿元(全联环境服务业商会\u002F华经,2024)",{"id":341,"name":342,"category":7,"groupCategory":8,"intro":343,"scale":10,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":344},"ch60_E13","轨道交通装备产业链","高铁、城轨、信号系统、关键零部件",36,{"id":346,"name":347,"category":37,"groupCategory":38,"intro":348,"scale":10,"maturity":31,"checkState":12,"nodeCount":13,"companyCount":349},"ch60_T06","轻工造纸产业链","造纸、家具、印刷、包装、日用消费品",107,{"id":351,"name":352,"category":45,"groupCategory":46,"intro":353,"scale":354,"maturity":48,"checkState":12,"nodeCount":13,"companyCount":355},"0605ff18-376d-4ef9-b9bd-c8d2d767fbf1","量子信息产业链","量子计算、量子通信、量子测量","2025年我国量子计算产业规模约115.6亿元、年增速超30%（赛迪，转引自人民网2026-08）；量子科技整体规模有望突破200亿元（东方财富研报\u002F赛迪，2025）",58,{"id":357,"name":358,"category":37,"groupCategory":38,"intro":359,"scale":10,"maturity":40,"checkState":12,"nodeCount":63,"companyCount":157},"ch60_T01","钢铁产业链","黑色金属冶炼及压延加工业，向特种钢、绿色低碳转型",{"id":361,"name":362,"category":7,"groupCategory":8,"intro":363,"scale":364,"maturity":11,"checkState":12,"nodeCount":20,"companyCount":365},"be5c17ae-9a06-4828-8111-6b0c0b4c7c2a","集成电路产业链","集成电路设计、制造、封装测试、装备材料，首批试点","中国集成电路全产业销售额约1.43万亿元(中国半导体行业协会，2024)；其中设计业约6460亿元(+11.9%)、制造业增长约14.5%、封测业增长约6.6%",196,{"id":367,"name":368,"category":37,"groupCategory":38,"intro":369,"scale":10,"maturity":31,"checkState":12,"nodeCount":32,"companyCount":370},"ch60_T07","食品加工产业链","农副食品加工、食品制造、饮料制造",109,{"id":372,"name":373,"category":7,"groupCategory":8,"intro":374,"scale":10,"maturity":11,"checkState":12,"nodeCount":32,"companyCount":157},"ch60_E21","高性能医疗器械产业链","高端影像设备、体外诊断、植介入器械、手术机器人",{"id":376,"name":377,"category":54,"groupCategory":8,"intro":378,"scale":10,"maturity":11,"checkState":12,"nodeCount":56,"companyCount":259},"ch60_E27","高端专用装备产业链","面向矿山、冶金、石化、建材、能源等领域的大型化、重型化、智能化成套专用装备与工程成套，是高端装备制造与进口替代的核心。",{"id":380,"name":381,"category":7,"groupCategory":8,"intro":382,"scale":10,"maturity":11,"checkState":12,"nodeCount":49,"companyCount":265},"ch60_E12","高端数控机床产业链","五轴机床、数控系统、伺服电机、精密刀具",{"list":384,"total":157,"page":892,"pageSize":223,"totalPages":893},[385,414,423,433,475,496,510,523,537,548,565,579,592,602,617,650,664,678,693,704,725,737,757,792,805,816,835,849,867,882],{"resultType":386,"id":387,"title":388,"abstract":389,"orgName":390,"province":391,"date":392,"trl":63,"transferMode":393,"keywords":394,"industry":395,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":397,"tagNames":413},"achievement","cmv1bibp306w8bdd8d838y5w6","新冠病毒抗体检测试剂盒用图像检测和标记系统","新型冠状病毒(SARS-CoV-2)IgM\u002FIgG抗体检测试剂盒的M G C三线划线质量 是检测结果可靠性的重要保障。传统的划线质量检测需通过人工目视和手动标记 来实现，精度较低且无法做到全程可控。基于图像的检测和标记系统通过高性能 图像处理技术对划线品质进行高精度实时检测，并对缺陷种类(包括断线、晕染、 抖动、异物等)及位置进行自动标记。从典型工况的测试结果来看，可实现零漏 检，从而有效保障产品质量，以科技服务抗疫事业。产品已申请发明专利2项， 软著2项。","中国科学院合肥物质科学研究院","安徽","2026-10-09T19:27:24.739Z","技术转让\u002F技术入股\u002F合作研发","","先进制造",false,[398,401,404,407,410],{"code":399,"name":400},"GB-74","专业技术服务业",{"code":402,"name":403},"GB-75","科技推广和应用服务业",{"code":405,"name":406},"CH-10","生物医药",{"code":408,"name":409},"CH-30","制造",{"code":411,"name":412},"FU-07","元宇宙",[400,403,406,409,412],{"resultType":386,"id":415,"title":416,"abstract":10,"orgName":417,"province":418,"date":419,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":420,"tagNames":422},"cmv1bia5t05msbdd8u3dkm2cq","电致化学发光光谱采集系统及相关技术推广","山东大学","山东","2026-10-09T19:27:22.403Z",[421],{"code":402,"name":403},[403],{"resultType":386,"id":424,"title":425,"abstract":426,"orgName":427,"province":428,"date":429,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":430,"tagNames":432},"cmv1bgxgh03mlsn4melvntt9q","ε-己内酯单体连续流合成技术","非金属碳催化剂、无溶剂反应体系、微反应连续流合成ε-己内酯单体，可技术转移或联合产业化。","华南理工大学","广东","2026-10-09T19:27:21.308Z",[431],{"code":402,"name":403},[403],{"resultType":386,"id":434,"title":435,"abstract":436,"orgName":437,"province":438,"date":439,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":440,"tagNames":474},"cmv1bgv1x01qqsn4m0677zgv7","重点区域导航服务性能监测及干扰预警系统","本项目以当前民用航空、智慧城市、智能驾驶等对卫星导航服务性能的高精度和安全性 需求为目标，实现卫星导航信号服务性能监测。针对民航机场、港口、无人驾驶、智慧城市 等高密度、高安全的重点服务领域，同时关注复杂战场和重点保障区域，加强对卫星导航服 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 务性能实时监测与预警需求。以导航信号性能分析、干扰监测和环境建模等技术为基础，开 展区域导航性能实时监测与预警，搭建基于导航信号接收机架构，集导航信号工作性能监测、 周边环境监测等功能一体的导航信号监测设备。开发“重点区域导航服务性能监测及干扰预 警系统”，实现高精度时空基准信息输出、导航服务精度告警、干扰与欺骗式干扰检测与预 警等功能。 设备采用单站监测+多站组网+大数据服务工作模式，单站产品是针对小区域监测和单个 区域服务；多站组网具备大区域监测与告警，数据结果融合分析，多站误差比对等能力，由 数据中心形成大数据产品，大数据和单站组网，可以服务大范围用户，为导航用户不仅仅提 供拥堵告警，也提供导航性能服务精度指示。 设备功能结构框图如下 基本监测能力 （1）卫星导航基本测量功能： （2）卫星导航授时； （3）导航性能监测与区域预警； （4）电磁环境监测； （5）导航欺骗式干扰监测； （6）影响导航服务因素监测与趋势分析； 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： （7）分布式多站组网干扰定位。 （三） 关键技术 1、卫星导航欺骗式干扰检测技术 由于欺骗式干扰功率略强于真实卫星导航信号，但淹没于环境噪声中，常用的电磁干扰 检测方法不能适用于欺骗式干扰检测。如何准确的在欺骗式干扰出现、欺骗引导等过程检测 到干扰信号","西安电子科技大学","陕西","2026-10-09T19:27:18.156Z",[441,444,447,450,453,454,455,458,461,463,466,469,471],{"code":442,"name":443},"GB-55","水上运输业",{"code":445,"name":446},"GB-56","航空运输业",{"code":448,"name":449},"GB-59","邮政业",{"code":451,"name":452},"GB-64","互联网和相关服务",{"code":399,"name":400},{"code":402,"name":403},{"code":456,"name":457},"SEI-01","新一代信息技术产业",{"code":459,"name":460},"CH-09","航空航天",{"code":462,"name":79},"CH-16",{"code":464,"name":465},"CH-28","交通",{"code":467,"name":468},"CH-34","云计算\u002F算力",{"code":470,"name":117},"CH-35",{"code":472,"name":473},"CH-39","网络与数据安全",[443,446,449,452,400,403,457,460,79,465,468,117,473],{"resultType":386,"id":476,"title":477,"abstract":478,"orgName":437,"province":438,"date":479,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":480,"tagNames":495},"cmv1bi7e802ggbdd8h672gy20","SAR典型场景实时目标检测定位与识别技术","本项目重点解决在资源受限的硬件设备上进行SAR典型场景实时目标检测定位与识别 任务时，现有SAR图像目标检测识别方法不能同时兼顾高精度和实时性的难题，开展基于 轻量化深度学习模型的SAR图像舰船检测算法、舰船目标结构特征提取与识别算法、星载 SAR机场定位检测等关键技术研究，能有效应用于星上目标检测识别任务中，提高SAR图 像星上处理应用水平。 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： （三） 关键技术 1. 基于轻量化深度学习模型的SAR图像舰船检测算法 针对在资源受限的硬件设备上进行SAR图像舰船实时检测任务，我们采用了自适应图 像增强与滤波方法、多尺度特征提取、轻量化深度检测网络、动态量化加速策略、基于先验 知识辅助和距离度量的自适应海陆分割技术等一系列方法应用于SAR图像舰船检测，达到 离线学习、快速准确检测目标能力。 2. 舰船目标结构特征提取与识别算法 针对由于感兴趣目标数据不足导致特征表示难学习的问题，我们开展了星载SAR图像 典型目标的几何结构特征提取和目标识别研究。我们根据合成孔径雷达成像机制和目标散射 信息，提取目标几何特征，辅助后续目标识别。同时，我们采用了基于迁移学习和轻量化深 度学习模型的目标识别方法，能有效提升目标识别性能，加快识别速度。 3. 星载SAR机场定位和目标检测 针对机场的复杂环境下目标检测问题，为进一步提高驻场飞机目标检测效率和性能，开 展地理编码语义信息辅助的机场定位研究，在判定图像包含机场的前提下，开展机场典型结 构的特征提取研究，高效提取机场感兴趣区域，从而可以快速定位机场准确位置，为后续驻 场飞机检测节省大量时间。 技术成熟度： □概念验证 □原理样机 □工程样机 □中试 □产业化 合作方式： □联合研发 □技术入股 □转让 □授权（","2026-10-09T19:27:18.146Z",[481,484,485,488,489,490,491,494],{"code":482,"name":483},"GB-39","计算机、通信和其他电子设备制造业",{"code":448,"name":449},{"code":486,"name":487},"GB-73","研究和试验发展",{"code":399,"name":400},{"code":402,"name":403},{"code":459,"name":460},{"code":492,"name":493},"CH-33","人工智能",{"code":411,"name":412},[483,449,487,400,403,460,493,412],{"resultType":386,"id":497,"title":498,"abstract":499,"orgName":437,"province":438,"date":500,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":501,"tagNames":509},"cmv1bi7dz02g9bdd89q5xu5j6","传输机皮带光电一体智能无人值守检测装置","本项目具备独立的知识产权。提供一套低改造成本皮带综合保护设备，其中核心技术为 激光+视觉检测方式防止纵向撕裂的智能无人值守监测方案及设备。该系统主要通过激光器 在输煤皮带纵向方位投射激光投影，通过投影在皮带表面形成外形轮廓。数字相机基于线成 像视觉技术，通过超高速工业COMS摄像机捕获带面图像，在1280成像线数下每秒钟采样 240FPS，即使皮带在高速行进的情况下依旧能即时发现故障。采用快速图像处理算法提取输 煤皮带表面投影，经核心智能检测技术，对皮带工作状况和损伤情况进行检测分级及报警， 配合自主研制的数字化智能管理软件系统，可实现皮带的无人值守智能监控管理，将输煤皮 带各种损伤在萌芽期就可以发现，有效防止事故扩大，造成巨大损失。 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 图2 带式输送机智能无人值守监测设备图示 （三） 关键技术 产品的关键技术有三方面： 1、 产品设计及防尘防潮技术： 首先是需要保证在皮带设备正常运行的情况下完成预期的监测功能。作为不同于以往的 监测方法，需要解决设备选取，以及在不影响生产进度情况下如何搭建一整套合理有效设备 的问题。这需要考虑到皮带的工作方式以及皮带机的工作模式，综合考虑多方面因素，搭建 一套合适的监测设备是项目得到实用的关键。其次在设备选取和搭建上还要面临皮带实际工 作环境的各种影响：由于粉尘、潮湿、人工冲洗等原因，皮带设备运行的现场环境往往及其 恶劣，因此监测设备必须具备良好的防尘防潮功能，并具有自动的无人冲洗功能，保持设备 的持久运行，减少环境因素对监测结果的干扰。 目前，","2026-10-09T19:27:18.137Z",[502,503,506,507,508],{"code":448,"name":449},{"code":504,"name":505},"GB-65","软件和信息技术服务业",{"code":399,"name":400},{"code":402,"name":403},{"code":456,"name":457},[449,505,400,403,457],{"resultType":386,"id":511,"title":512,"abstract":513,"orgName":437,"province":438,"date":514,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":515,"tagNames":522},"cmv1bi7dp02g1bdd8oqnm5bbd","面向异构数据中心的分布式机器学习高效运行方法研究","本项目围绕分布式机器学习的通信效率和任务调度开展研究，旨在提供高效率、高 精度、低成本的分布式训练解决方案。具体研究内容包括：1）针对分布式机器学习训练中 参数通信频繁、带宽竞争大的问题，研究分层通信拓扑架构和基于阈值的参数同步算法，缓 解参数汇聚节点的通信瓶颈，减少通信频率，从整体上提升训练效率。2）针对异构数据中 心并行节点计算不同步的问题，研究异构资源可感知的分布式任务调度策略，弥补异构节点 的差异，均衡计算，提高收敛精度。本项目有效解决分布式机器学习中通信瓶颈和资源浪费 等问题，致力于推动人工智能应用更广泛的落地，降低数据中心成本投入。 图4. 分布式机器学习系统框架 （三）关键技术 （1）基于二维分层环形结构的并行通信算法 由于分布式集群的规模不断扩大，基于传统环形通信拓扑架构的方法面临数千个 GPU节点的延迟。解决此问题，本项目提出基于二维分层环形结构的大规模分布式机器并 行通信算法，充分利用组内高带宽、组间低带宽的通信特点，结合环形和分层通信算法的优 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 势，减少并行通信的步数，从而降低通信开销。 （2）异构资源可感知的任务调度方案 由于异构数据中心节点资源的差异性，在中心化以及去中心化的并行通信架构中均 存在部分慢速节点影响整体训练效率的情况。解决此问题，本项目提出基于异构资源可感知 的任务调度策略，利用轻量级的机器学习技术预测节点间的资源变化，根据资源分配适配任 务，从而达到节点间并行训练步调一致，避免迭代倾斜，提高训练精度。 技术成熟度： □概念验证 原理样机 □工程样机 □中试 □产业化 合作方式： □联合研发 □技术入股 □转让 □授权（许可） 面议 邮政编码：710126 传 真：029-81891405 电 话：0","2026-10-09T19:27:18.128Z",[516,517,518,519,520,521],{"code":448,"name":449},{"code":486,"name":487},{"code":402,"name":403},{"code":456,"name":457},{"code":492,"name":493},{"code":467,"name":468},[449,487,403,457,493,468],{"resultType":386,"id":524,"title":525,"abstract":526,"orgName":437,"province":438,"date":527,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":528,"tagNames":536},"cmv1bi7d702fubdd8nw6kioui","面向数据密集型应用的扁平化、低时延、可重构光电混合互连系统","围绕下一代数据密集型应用对互连网络高带宽、低时延、低能耗、高扩展性的需求， 展开高容量、低开销、可重构、扁平化光电混合互连架构的研究。结合光、电交换技术的特 点，设计高扩展、低复杂度、大容量、低能耗的光电混合互连拓扑结构；研究低开销、快速 响应的光电路\u002F光分组交换控制系统，设计面向快速光交换计算的调度算法；研究低阻塞、 多粒度、高连通性的光交换机制及交换芯片；构建高性能光电混合互连网络系统原型，部署 典型应用测试基准，验证光电混合网络的潜在优势，为下一代计算网络架构的技术革新提供 理论和实践指导。 （三）关键技术 项目所涉及关键技术包括：⑴混合互连网络结构，通过引入新型拓扑，突破传统光 电混合互连的结构范式、解决光网络的扩展性问题，构建以光交换为主、电交换为辅的互连 架构；⑵高效、快速、灵活的光交换控制技术，通过设计低时延、低复杂度配置算法和网络 状态惰性感知的控制策略，有效降低控制平面时延，充分解放数据平面的交换能力；⑶光电 协同技术，通过自研协议和可编程设备，突破网络层、传输层对光交换技术不适配问题，在 多个维度实现光、电技术协同，有效提高光电混合互连网络的吞吐及时延。 图1.面向光电混合互连架构的协同控制系统 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 图2.面向分布式AI应用的光电混合互连网络 技术成熟度： □概念验证 原理样机 □工程样机 □中试 □产业化 合作方式： □联合研发 □技术入股 □转让 □授权（许可） 面议 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号：","2026-10-09T19:27:18.110Z",[529,530,531,532,535],{"code":448,"name":449},{"code":486,"name":487},{"code":402,"name":403},{"code":533,"name":534},"CH-08","集成电路",{"code":492,"name":493},[449,487,403,534,493],{"resultType":386,"id":538,"title":539,"abstract":540,"orgName":437,"province":438,"date":541,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":542,"tagNames":547},"cmv1bi7cs02fobdd8ckv5j0s2","非合作通信信号侦察、识别及盲解调","本项目主要包含的模块有：调制样式识别及盲解调、编码识别及解码、寄生特征识别、 参数估计、信道均衡等，如图1所示。 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 图1. 总体流程框架 接收端接收到射频信号后，将信号处理为中频信号。中频信号首先进入寄生特征识别模 块，通过从时域-频域-高阶谱变换域联合提取发射机寄生特征，将提取出来的寄生特征通过 寄生特征库训练的分类器，根据分类结果来判断接收到的信号是否为所需要解调的信号。然 后将中频信号进行参数估计，获取到如载波速率、带宽、符号率等参数，并根据这些参数对 信号进行调制样式识别，得到信号的调制样式。再根据估计的参数以及调制样式来对中频信 号进行定时同步、信道均衡、帧同步识别等操作，通过符号判决得到信号的比特流。最后进 入信道编码识别模块，通过相应的算法进行码长估计，结合估计的码长，进行码字校验解的 获取以及编码特征的提取，最后进行判决完成对编码方式的识别。根据编码方式对信号的比 特流进行译码，获取到信号的信息流，从而完成对未知信号的“盲解调”。 项目中使用的发送端为FM对讲机和软件无线电（URSP），如图2、图3所示： 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 图2 五类12终端的FM对讲机 图3 两类URSP：B210和N210 （三）关键技术 调制样式识别及解调技术：采用基于FAM的循环谱特征提取以及基于高阶累积量的特 征提取算法来对MPSK、QAM类、APSK类、CPM等实现调制样式的识别及解调。 寄生特征识别技术：在时域、频域、高阶谱中，采用双谱变换、小波变换、EMD分解 等信号处理算法提取“十维”指纹特征，来实现寄生特征识别。 编码识别及解码","2026-10-09T19:27:18.094Z",[543,544,545,546],{"code":448,"name":449},{"code":504,"name":505},{"code":402,"name":403},{"code":456,"name":457},[449,505,403,457],{"resultType":386,"id":549,"title":550,"abstract":551,"orgName":437,"province":438,"date":552,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":553,"tagNames":564},"cmv1bi7cb02fgbdd8yjtq165h","微型化灵巧式电磁频谱监测系统","面向我国在远洋、岛礁、边海防以及野外战场等人员无法到达恶劣环境中频谱监测需求 日益迫切，而国内尚没有该类型成熟可靠频谱监测设备的现状，开展微型灵巧频谱电磁传感 技术研究，研制出微型化频谱传感节点，可达到监测频率范围30MHz~6000MHz，全频段监 测时间\u003C100ms（5节点协作），尺寸20cmⅹ10cmⅹ10cm，工作时长>30天(平均功率\u003C6W)等技 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 术指标，可满足我军网络化、精细化、一体化频谱监测的紧迫需求，为全军频谱规划及管理、 战场频谱掌控提供理论论据和技术支撑。 20CM 10CM 2CM A．单人携带型（20*10*2厘米，200克，不含电池） 15CM 10CM B.抛撒部署型（15*φ10厘米，1500克，含电池） 10CM 10CM 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： C.无人平台搭载型（10*10*10厘米，150克，不含电池） 图1频谱传感器的三种应用样机 （三） 关键技术  宽带实时微型频谱感知技术  超外差\u002F欠采样监测体制共存技术  时空频多维并行协作检测技术  资源约束下的跳频信号分析技术  智能随域组网与动态能耗管理 技术成熟度： □概念验证 原理样机 □工程样机 □中试 □产业化 ☑ 合作方式： □联合研发 □技术入股 □转让 □授权（许可） 面议 ☑ 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号：","2026-10-09T19:27:18.077Z",[554,557,560,561,562,563],{"code":555,"name":556},"GB-38","电气机械和器材制造业",{"code":558,"name":559},"GB-40","仪器仪表制造业",{"code":448,"name":449},{"code":486,"name":487},{"code":399,"name":400},{"code":402,"name":403},[556,559,449,487,400,403],{"resultType":386,"id":566,"title":567,"abstract":568,"orgName":437,"province":438,"date":569,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":570,"tagNames":578},"cmv1bi7bv02f9bdd81jbe0rlu","电 话：029-81892585 西安电子科技大学技术转移中心公众微信号：","本项目源自团队承担的国家自然科学基金项目（知识社区中的资源语义空间及其检索研 究、基于公众网络参与的民生公共政策第三方动态评估机理与方法研究）、陕西省软科学重 点项目（基于多源数据融合的陕西科技管理服务模式研究）、陕西省软科学项目（陕西省科 技成果分类评价研究）的成果转化。 本项目提供一种领域知识检索与知识服务平台。该平台以科技论文、技术专利、科学数 据的细粒度组织为基础，形成体系化的知识元，构建领域知识库、科学数据库，提供领域科 普知识和专业知识的语义检索；基于论文、专利、科技成果在知识体系上的分布信息，开发 成果价值评估模型，实现科技成果分类评价，以及人才、机构的创新能力、发展潜力评估等； 面向不同类型客户提供科技成果趋势分析、热度分析、价值分析等定制化的知识服务。 应用对象主要包括公众、省地市各级科技管理部门、高校及科研院所、企业、科技中介 机构等群体。 图2 本平台应用场景 （三）关键技术 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 本平台以细粒度知识组织技术、文本挖掘技术、语义检索技术、知识图谱技术、人工智 能技术等技术为基础，实现了领域知识细粒度组织与语义化检索技术、科技成果智能化评价 技术、科技人才创新能力与发展潜力评估技术、科技机构创新能力与发展潜力评估技术、面 向多主体的定制化分析与评估等五方面的核心技术。 图3 本平台总计技术架构 （1）领域知识细粒度组织与语义化检索技术。以对科技论文、技术专利以及科学数据 的细粒度组织为基础，生成体系化的知识表示框架，建立起知识元之间的系统化、语义化联 系，实现对领域知识的语义化检索。 （2）科技成果智能化评价技术。以《关于完善科技成果评价机制的指导意见》为指导， 基于论文、专利、科技成果在知识体系上的分布信息，开发基础研究、应用","2026-10-09T19:27:18.060Z",[571,572,575,576,577],{"code":448,"name":449},{"code":573,"name":574},"GB-67","资本市场服务",{"code":486,"name":487},{"code":402,"name":403},{"code":470,"name":117},[449,574,487,403,117],{"resultType":386,"id":580,"title":581,"abstract":582,"orgName":437,"province":438,"date":583,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":584,"tagNames":591},"cmv1bi7be02f1bdd8qibw6ofh","先进辐射致发光技术用于精准放疗定量化评估","本项目基于先进辐射致发光和人工智能技术，发展了一种新型三维辐射剂量质控设备， 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 在其他技术参数保持不变的情况下，使空间分辨率提升了10倍，而价格降低至同类产品的 5%。 （三） 关键技术 通过设计表面涂覆闪烁体材料的圆柱形感知腔体，创新性地实现了面向医用 L 臂 直线 加速器辐射剂量的低成本共面探测。软件上，发展了基于新型功能生成对抗网络(fGAN) 的 信号处理技术，实现了从测量图像到仿体中三维剂量的有效转换，并具有亚毫米级的空间分 辨率。 技术成熟度： □概念验证 □原理样机 √工程样机 □中试 □产业化 我们已在斯坦福大学癌症中心针对 25 例癌症患者的放疗计划，通过比对治疗计划系统的 输出，对所搭建系统进行了初步验证。 合作方式： √联合研发 □技术入股 □转让 □授权（许可） □面议 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号：","2026-10-09T19:27:18.043Z",[585,586,587,588,589,590],{"code":448,"name":449},{"code":504,"name":505},{"code":486,"name":487},{"code":402,"name":403},{"code":456,"name":457},{"code":492,"name":493},[449,505,487,403,457,493],{"resultType":386,"id":593,"title":594,"abstract":595,"orgName":437,"province":438,"date":596,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":597,"tagNames":601},"cmv1bi7b202ewbdd8sw6jpz6g","分散式(泛在计算)新型信息系统架构及关键技术","针对边缘末端无线环境计算任务的复杂多变与节点资源严重受限的矛盾，参考分散计算 新型计算模式，依托新型网络计算点可编程能力，重点研究分散式的异构网络计算点计算、 计算资源动态按需管理调度技术；研究分散计算体系架构下代码与数据优化部署执行技术； 研究分散环境下跨节点计算任务的抗毁接替模式；保证高动态环境下计算通信资源供给满足 复杂多变任务的需求。 （三）关键技术 基于高动态环境研究分散式新型网络架构设计实现方案，实现分散式新型融合架构，通 过无中心动态组网及计算、存储、通信资源借用与协作，完成复杂计算任务资源协调调度与 任务分解机制；研究基于节点集合内的多任务分配与资源调度方法与技术，实现边缘设备的 统一管理和高速交互；研究分散式跨节点计算任务抗毁接替方法，实现核心计算任务的冗余 抗毁接替机制与流程，提高复杂任务的执行可靠性；研究分散式战术应用支撑能力，提供数 据共享与同步技术，支撑分散应用的快速构建，实现高效存储共享与同步；研究基于 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： LTE\u002FWIFI 的分散式网络通信技术，为分散应用提供多元化通信方式，满足不同带宽下的应 用场景。 技术成熟度： □概念验证 原理样机 □工程样机 □中试 □产业化 合作方式： □联合研发 □技术入股 □转让 □授权（许可）面议 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号：","2026-10-09T19:27:18.030Z",[598,599,600],{"code":448,"name":449},{"code":486,"name":487},{"code":402,"name":403},[449,487,403],{"resultType":386,"id":603,"title":604,"abstract":605,"orgName":437,"province":438,"date":606,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":607,"tagNames":616},"cmv1bi7al02embdd8hch03gur","面向智能无人装备的国产高级综合电子与软件","针对未来无人装备对高性能、高可靠、智能计算能力的需要。研究了基于国产处理器、 加速器和基础软件的智能计算系统，重点突破了国产器件系统安全认证、高性能、高可靠综 合电子架构、异构资源统一开发环境、异构资源自适应管理、系统多级容错重构、面向领域 的轻量化网络模型设计、智能应用容器化开发部署等关键技术。研制了出满足无人装备智能 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 应用的高可靠、高性能、高可用、高安全、标准接口的国产计算系统原理样机，并通过航天 领域场景验证测试。 （三） 关键技术 如下图所示，围绕无人装备智能应用，需要分别从高性能、高可靠硬件构成、高效平台 管理、高可用应用接入和高效算法设计开发等方面分别展开研究。平台硬件层主要包括系统 硬件身份认证技术、异构硬件资源统一组件服务技术，解决系统级硬件身份认证和异构资源 统一表征和管理问题，为高安全、高性能异构计算奠定技术基础；平台管理层主要包括可重 构计算架构、任务资源自组织协同与动态自演化策略、面向节点协同的动态集群构建、系统 多级容错模型、多目标多约束下的任务资源最优匹配算法，为无人装备智能应用提供高性能、 高可靠的计算平台；高可用应用接入主要包括异构资源统一开发环境构建、系统感知的智能 编译优化以及自动代码生成等内容，支撑系统综合调试，满足系统高可用要求；高效算法设 计主要包括面向领域的智能应用开发流程设计、基于硬件感知的神经网络自动设计及联合压 缩等技术。 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 技术成熟度： □概念验证 ●原理样机 □工程样机 □中试 □产业化 合作方式： □联合研发 ●技术入股 □转让 □授权（许可） □面议 邮政","2026-10-09T19:27:18.013Z",[608,609,610,611,612,613,614,615],{"code":448,"name":449},{"code":504,"name":505},{"code":486,"name":487},{"code":399,"name":400},{"code":402,"name":403},{"code":456,"name":457},{"code":459,"name":460},{"code":472,"name":473},[449,505,487,400,403,457,460,473],{"resultType":386,"id":618,"title":619,"abstract":620,"orgName":437,"province":438,"date":621,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":622,"tagNames":649},"cmv1bi7a302e6bdd8now1uo4f","智慧教育中混合式学习环境下学习过程数据化关键技术","本项目主要目标是针对信息技术支撑下学习空间多元化、场景复杂、需求多样化，学习 者及学习行为呈现出新的特点和规律，研究多元学习空间中学习行为数据化关键技术，构建 “云-边缘-物联网”架构的多模态数据存储与处理平台，实现混合式学习环境下学习行为智 能感知和数据化，优化学习行为模型，基于实际应用与不同学习目标函数及内容，建立可重 复、可预测、可验证的对比数据集，为数据驱动的智慧教育生态构建和教育应用提供核心技 术与数据支撑。 （三） 关键技术 我们面向智慧教育中准确认知学生的学习状态和行为的大数据需求提出研究方案。本项 目实施方案涉及教育学、物联网、云计算、人工智能、隐私保护等多个领域，主要技术路线 如图所示： 图2 技术路线图 其中，项目包括的关键技术主要有以下三点： 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： （1）基于物联网的多模态数据实时智能感知和多时间域数据采集技术。 该技术针对学习状态的数据化、特征参数量化问题，设计能够采集多重学习空间下的智 能数据感知物联网系统。主要技术难点在于抽样频率与识别准确度的平衡、人机交互的变化 规律等全新科学问题。 （2）学习状态多模态数据解析和智能处理技术 利用智能感知物联网采集实时性的原始学习状态数据，包括面部表情、脑电信号、头部 姿态、交互行为等原始数据，这些数据具有数据量大、模态多、冗余度高等特点，需要通过 智能化的预处理方法转换成可以量化的状态数据。 （3）多层次数据差分隐私保护技术 学习行为数据是学习者被动采集的多方面行为数据，受到日益增长的具有争议性的数据 伦理的制约。该项技术通过数据隐私保护机制实现数据多层次化的差分隐私安全算法；在保 证学习者最大数据隐私性的前提下，研究满足学习行为分析所需要的数据颗粒度。 技术成熟度： □概念验证","2026-10-09T19:27:17.995Z",[623,624,627,628,629,632,633,636,639,640,641,642,645,646],{"code":448,"name":449},{"code":625,"name":626},"GB-63","电信、广播电视和卫星传输服务",{"code":486,"name":487},{"code":402,"name":403},{"code":630,"name":631},"GB-83","教育",{"code":456,"name":457},{"code":634,"name":635},"CH-04","脑机接口",{"code":637,"name":638},"CH-17","新一代信息技术",{"code":492,"name":493},{"code":467,"name":468},{"code":470,"name":117},{"code":643,"name":644},"CH-37","物联网",{"code":472,"name":473},{"code":647,"name":648},"FU-08","生成式人工智能",[449,626,487,403,631,457,635,638,493,468,117,644,473,648],{"resultType":386,"id":651,"title":652,"abstract":653,"orgName":437,"province":438,"date":654,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":655,"tagNames":663},"cmv1bi79n02dxbdd8891sf1fl","云-边-端一体化异构资源协同优化技术与系统","项目针对公网网络规模大用户多，专网用户自主网络维护能力弱的关键难题，提出了云 -边-端一体化的异构资源管理架构及优化方法，可满足感知、测控、通信等多样化业务需求， 提供全流程一体化端到端解决方案，变革新一代移动通信网络的网络优化模式，促进感知、 测控、通信等行业专网用户快速跨越式发展。 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： （三） 关键技术 云-边-端一体化异构资源协同优化技术与系统，包括两个部分：集成终端采集软件（路 测设备、用户终端、物联网模块）和后台在线分析诊断系统。 1、终端的采集系统 终端的采集特性可以定时或主动采集某一个或某些信令的数据，每个采集终端有一个代 理Agent、基带芯片的接口适配模块、文件系统、无线传输模块，信令数据根据监测对象的 不同进行自由配置，并实时根据配置要求上传采集的数据到后台中心。 2、云化后台系统 后台分析系统负责整个系统的后端数据通信采集、数据存储、业务应用、分析模型算法， 其中业务应用包括采集终端管理、信令管理、数据管理、权限管理等。模型算法包括关系型 数据模型的建立、信令参数与网络设备的关联统计等。 技术成熟度： □概念验证 □原理样机 ■工程样机 □中试 □产业化 合作方式： □联合研发 □技术入股 □转让 ■授权（许可） □面议 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号：","2026-10-09T19:27:17.977Z",[656,657,658,659,660,661,662],{"code":448,"name":449},{"code":504,"name":505},{"code":486,"name":487},{"code":402,"name":403},{"code":456,"name":457},{"code":533,"name":534},{"code":643,"name":644},[449,505,487,403,457,534,644],{"resultType":386,"id":665,"title":666,"abstract":667,"orgName":437,"province":438,"date":668,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":669,"tagNames":677},"cmv1bi79602dqbdd8bkrqakgp","等离子体电磁调控技术的军民融合产业转化","本团队长期致力于探索航天等离子体领域的电磁调控技术，该技术能够有效 调控等离子体强度、形态及有效活性成分。经过十三五期间的科研攻关，本团队 在该技术领域取得了重大科技成果，获得了包括GF 技术发明一等奖在内的多项 科技奖。面向民用等离子体技术的行业“痛点”及巨大市场，本团队启动了“等离 子体电磁调控技术的军民融合产业转化”项目，目标是解决等离子体应用于人体 安全性、皮肤适应性等关键问题，实现民用等离子体技术及产品的突破升级。 热电极DBD 技术、时-空电磁位形等离子体调控技术、高效率电源与放电装 置一体化等技术可满足等离子体在病菌消杀、皮肤管理、电弧引燃等多领域相关 产品的功能升级，形成4-5 项电磁调控技术赋能的等离子体产品，大幅提升大气 压等离子体技术的商业价值。相比同类技术产品，本项目的等离子体强度更高、 有益活性成分更多、有害物质浓度极低、人体和皮肤安全性更佳、消杀效果更优， 同时满足个人便携的刚性需求。 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 等离子体调控技术获 GF技术发明一等奖 便携式等离子体消杀仪用于餐具消毒 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： （三）关键技术 （1）热电极 DBD 放电技术提高人体接触安全性。针对等离子体放电过程 中臭氧大量产生、热量累积导致活性物质成分极不稳定等问题，本团队创新性地 提出了热电极DBD 放电技术。设计单根电阻丝替换常用的网状地电级，设计嵌 入式温控电路实现地电级的精准温度控制。对比同类产品，热电极DBD 放电技 术赋能的等离子体产品有益活性成分稳定可控，同时臭氧浓度降低60%以上，大 幅提高了DBD 放电等离子体与人体接触的安全性及其","2026-10-09T19:27:17.959Z",[670,673,674,675,676],{"code":671,"name":672},"GB-44","电力、热力生产和供应业",{"code":448,"name":449},{"code":402,"name":403},{"code":459,"name":460},{"code":472,"name":473},[672,449,403,460,473],{"resultType":386,"id":679,"title":680,"abstract":681,"orgName":437,"province":438,"date":682,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":683,"tagNames":692},"cmv1bi78v02dgbdd8434qxnog","面向应用场景的轻量化自定义地理信息应用服务平台","实现了面向多种场景的GIS应用，解决了现有GIS软件在技术发展方面存在以下的弊端：  基础软件架构不能及时升级，影响后期的开发应用；  软件基础数据格式相对封闭，影响新数据格式加入；  后期维护使用和二次开发接口不全，端口限制受限；  基础数据横向交联能力欠佳，影响数据的整合利用。 本项目开发的软件体系具有相对大的灵活性，完全可以解决上述弊端带来的影响，项目 优势及特色：  数据单元格式完全开放并实现自定义功能  基于基本运算的应用模型构建和算法设计  灵活可配置的业务流程以及数据安全管理  基于智能分布计算的系统效率与性能优化 （三）关键技术  自定义地理信息技术  地图可视化技术  自定义空间分析技术  分布式计算技术  自定义工作流技术 技术成熟度： □概念验证 □原理样机 工程样机 □中试 产业化 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 合作方式： 联合研发 □技术入股 □转让 □授权（许可） 面议 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号：","2026-10-09T19:27:17.947Z",[684,685,686,687,688,689,690,691],{"code":448,"name":449},{"code":504,"name":505},{"code":486,"name":487},{"code":402,"name":403},{"code":456,"name":457},{"code":637,"name":638},{"code":470,"name":117},{"code":472,"name":473},[449,505,487,403,457,638,117,473],{"resultType":386,"id":694,"title":695,"abstract":696,"orgName":437,"province":438,"date":697,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":698,"tagNames":703},"cmv1bi78n02dabdd88fb3dxp8","基于深度学习与知识图谱的智能电子档案管理系统","电子档案管理系统是企事业单位的档案现代化管理的重要技术手段。当前电子档案影 像资料的分类、关键信息提取、摘要等工作仍然需要人工完成。随着信息资源数字化、网络 化的进程进一步加快，海量档案资料自动分类、自动摘要、自动关键字提取等智能化要求越 来越迫切。 本项目研究基于知识图谱与深度学习的电子档案智能管理技术，通过对（高速）扫描 仪或相机获取的档案影像进行OCR识别，运用自然语言处理技术实现档案影像自动分类、自 动摘要和自动关键信息提取，从而大大减轻档案管理人员的劳动强度，提高档案资料影像化 采集的质量和效率。 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 近年来，文本自动分类、自动摘要、自动关键字提取等自然语言处理技术取得了长足 发展，但将NLP与OCR技术相结合进行电子档案自动分类，国内外罕有团队研究。特别是融 合了智能检错纠错技术的电子档案自动分类技术的电子档案智能管理系统，国内外尚没有同 类产品。 （三）关键技术 1、基于预训练词向量和允许字符集的OCR识别结果检错与纠错技术 由于种种原因，OCR识别结果往往存在识别错误。这些错误的文本如果不预先进行纠 错，将会影响分类器的训练的效果和文本分类的精度。本项目利用CBOW原理，通过将待检 词序列中的异常词代入预训练CBOW 模型，获得异常词位置的最大概率候选词，用该候选词 替换异常词，从而实现文本纠错。在此基础上，根据OCR识别结果，结合额外的有用信息， 尽可能的对识别结果进行纠错，进一步提高识别准确率减少人工校对的工作量。 2、基于深度学习的文本自动分类技术 对档案图像中的文本进行识别，对识别结果文本集合中的文本进行特征提取，形成文 本特征向量集合，以文本特征向量集合为输入，对应的类别为输出，训练基于深度神经网络 文本分类器，对档案进","2026-10-09T19:27:17.937Z",[699,700,701,702],{"code":448,"name":449},{"code":486,"name":487},{"code":402,"name":403},{"code":492,"name":493},[449,487,403,493],{"resultType":386,"id":705,"title":706,"abstract":707,"orgName":437,"province":438,"date":708,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":709,"tagNames":724},"cmv1bi78702cwbdd846av6goj","面向多源信息融合的电力电缆状态诊断技术及应用","电力电缆是电气设备输电环节运行中及其重要的组成部分，其全寿命周 期绝缘性能状态诊断技术具有重要的工程应用价值。根据最新的国家电网安全运 行不停电维护要求，采用多源信息融合技术对电力电缆的全生命周期运行状态进 行针对性的诊断与评估成为国内外在该领域的首选方案。提前预判电缆绝缘的局 部放电，合理有序的精准维护，最大可能的避免电力电缆输电中爆炸、着火等重 大安全事故，保障国计民生用电的可靠性。 （三）关键技术 1.研究内容 （1）多源信息融合 邮政编码：710126 传 真：029-81891405 电 话：029-81892585 西安电子科技大学技术转移中心公众微信号： 电力设备在发生局部放电的过程中，会伴随发生电流脉冲、电磁波、超声波、 热、光等许多物理现象，本项目基于局部放电在线检测技术，并结合多源信息融 合方法，对局部放电产生的物理 iang进行检测，实现电力设备在线状态综合诊 断系统。 （2）状态诊断技术及应用 传统的电力设备状态检测方法需要依靠人工判断，依赖于检测人员的工作经 验，其庞大的数据量和丰富的信息种类限制了诊断效率和诊断精度。随着数字技 术的发展，自动、智能和精确的智能图像处理和分析已成为主要的发展方向，本 项目运用了机器学习算法实现电力设备运行状态的诊断。 （3）面向泛在电力物联网和大数据的状态诊断平台 针对传统电力设备诊断时，检测方式单一且检测信息无法实时分析和共享， 本项目采用了多种在线检测方式对电力设备进行多维度的状态检测，多源信息需 要进行集中处理及分析。因此依托泛在电力物联网和大数据分析，实现电力系统 专用网关与状态诊断决策平台。将电力设备中多种检测设备通过多种协议接入物 联网，实时、连续的获取电力设备状态信息，实现大数据智能网关的诊断系统的 设计开发，并统一将多源信息发送至决策平台。 技术成熟度： 概念验证□原理样机 □工程样机 □中试 □","2026-10-09T19:27:17.919Z",[710,711,712,713,714,715,716,717,720,721,722,723],{"code":555,"name":556},{"code":671,"name":672},{"code":448,"name":449},{"code":486,"name":487},{"code":399,"name":400},{"code":402,"name":403},{"code":456,"name":457},{"code":718,"name":719},"CH-26","电力",{"code":492,"name":493},{"code":470,"name":117},{"code":643,"name":644},{"code":472,"name":473},[556,672,449,487,400,403,457,719,493,117,644,473],{"resultType":386,"id":726,"title":727,"abstract":728,"orgName":729,"province":438,"date":730,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":731,"tagNames":736},"cmv1bgtwp01clsn4m6r4firgh","新型水性聚氨酯固色剂的开发与应用","属纺织品染整技术领域，获陕西省国际合作重点项目和西安市技术转移促进工程资助，合成阳离子型固色剂用于纺织品染整。","西安工程大学","2026-10-09T19:27:16.523Z",[732,735],{"code":733,"name":734},"GB-17","纺织业",{"code":402,"name":403},[734,403],{"resultType":386,"id":738,"title":739,"abstract":740,"orgName":741,"province":438,"date":742,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":743,"tagNames":756},"cmv1bi5gt01e8bdd8ieevbn7k","气浮润滑式航空高速离心飞重测试技术","本项目结合我国目前新一代高速化战机的燃油泵油路控制技术在高精度方 面的需求，基于高速气浮支承润滑机理，提出新型高速气浮式离心飞重测量平台 的关键技术研究，突破现有机械式离心飞重测量器低速及摩擦系数大的“卡脖子” 问题。实现高速 4500~7000r\u002Fmin 和中低速 2300~4500r\u002Fmin 下的双转速自动控制 测试，实现转速误差±5r\u002Fmin、位移测试精度±0.02mm 的技术要求。基于气-固耦 合流体仿真分析技术，提出了应用于离心飞重测试的一种高刚度气浮静压主轴轴 向闭式支承系统新结构、新工艺，建立气浮静压主轴-轴向闭式支承系统的承载力 学分析模型，突破以往气体静压轴承在承载能力不高、刚度和稳定性较弱的应用 瓶颈；提出气浮式航空离心飞重高速测试控制关键技术方法，开发了一套自动转 速管理系统，设计了人机交互实时测试系统平台。研究成果具有独立知识产权， 可以专利转化，技术转移，批量生产，具备强有力的市场竞争优势，航空离心飞 重测试装置设计、制造、加工、试验和机电一体化控制平台开发，可为航空装备 和航空发动机技术的跨越式发展提供支持，蕴含着巨大的研究价值、市场竞争优 势和商业化前景。","西安工业大学","2026-10-09T19:27:15.541Z",[744,747,748,749,750,753,754,755],{"code":745,"name":746},"GB-34","通用设备制造业",{"code":445,"name":446},{"code":486,"name":487},{"code":402,"name":403},{"code":751,"name":752},"SEI-02","高端装备制造产业",{"code":459,"name":460},{"code":464,"name":465},{"code":408,"name":409},[746,446,487,403,752,460,465,409],{"resultType":386,"id":758,"title":759,"abstract":760,"orgName":761,"province":438,"date":762,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":763,"tagNames":791},"cmv1bi3yz00c9bdd8jpded51a","商业智能大数据分析系统","大数据变现技术是指利用海量数据，对企业的商业运营进行大数据分析，云计算， 人工智能决策实施，使得企业产生现金流的能力大幅提升，企业运营效率成倍增加，企业运营成本 急剧减少。引入大数据变现技术，尤其使得传统行业企业竞争力增强，企业融资环境会有极大的改 善。 研究团队与相关企业对接后，通过对传统企业的产品、服务、团队、管理、市场、客户、技术、 发展战略等进行360°全方位诊断，发现企业战略方向的正确与否，企业发展中的技术瓶颈是什么？ 企业运营过程中产生现金流的难点是什么？企业产品和服务与市场和客户对接的困境是什么？？在 这些诊断的基础上，将目前最前沿的智能商业理念植入企业，策划对应的解决方案。在此基础上， 利用大数据分析、云计算、人工智能、物联网相结合的现代信息技术，设计具体的智能商业解决方 案及信息化建设服务体系，以实现传统企业向现代智能化企业的转型，增强企业的核心竞争力。 本信息化智能化解决方案适用主要行业： 政府管理部门、电力行业、旅游行业、医药服务行业、保险行业、传媒行业、教育行业、金融 行业、供应链行业、新零售行业等。 西北大学高技术转移创新研究院科技成果转化办公室：029-88302617 成果完成人：彭进业 邮箱：kaifa@nwu.edu.cn 118 专利清单","西北大学","2026-10-09T19:27:13.480Z",[764,767,768,771,774,775,776,777,780,781,782,783,784,787,788,789,790],{"code":765,"name":766},"GB-27","医药制造业",{"code":671,"name":672},{"code":769,"name":770},"GB-52","零售业",{"code":772,"name":773},"GB-68","保险业",{"code":486,"name":487},{"code":402,"name":403},{"code":630,"name":631},{"code":778,"name":779},"GB-92","国家机构",{"code":456,"name":457},{"code":405,"name":406},{"code":637,"name":638},{"code":718,"name":719},{"code":785,"name":786},"CH-29","金融",{"code":492,"name":493},{"code":467,"name":468},{"code":470,"name":117},{"code":643,"name":644},[766,672,770,773,487,403,631,779,457,406,638,719,786,493,468,117,644],{"resultType":386,"id":793,"title":794,"abstract":795,"orgName":761,"province":438,"date":796,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":797,"tagNames":804},"cmv1bi3yu00c3bdd8ceztg95a","连续变量量子密钥分发系统","在长距离连续变量量子密 钥分配及其网络化方面，完成了目前国际 上最长安全传输距离的连续变量量子密钥 分配实验，安全传输距离到达155km；在 连续变量量子密钥分配安全性研究与应用 方面，研制出了国际上首套连续变量密钥 分发系统原理样机；在高速连续变量量子密钥分配及其实用化方面，完成了在CWDM环境下现了系 统时钟50MHz，密钥率1Mbps@25km核心指标；基于本地本振的系统实验中实现了系统时钟100MHz， 密钥率1Mbps@20km核心指标；并研制出了国际上首套接近商用水平的高速连续变量量子密钥分配 工程样机系统，核心指标为：系统时钟25MHz，密钥率52kbps@50km。这些理论研究及工程实现的 成功极大地促进了连续变量量子密钥分配技术的实用化进程。这些成果均到达了国际领先水平。 成果成熟度：小试阶段。 转化方式：技术入股、合作推广。 投资成本：进一步市场化放大约需投入500万元。 西北大学高技术转移创新研究院科技成果转化办公室：029-88302617 成果完成人：彭进业 邮箱：kaifa@nwu.edu.cn 117 专利清单","2026-10-09T19:27:13.474Z",[798,799,800,803],{"code":486,"name":487},{"code":402,"name":403},{"code":801,"name":802},"CH-01","量子科技",{"code":472,"name":473},[487,403,802,473],{"resultType":386,"id":806,"title":807,"abstract":808,"orgName":761,"province":438,"date":809,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":810,"tagNames":815},"cmv1bi3yf00bibdd8kmt8bamo","计算机辅助文物复原系统","针对文物形状的特殊性，结合计算机图形学技术，进行破碎文物的计算机辅助复原。 本系统采用形状匹配技术，通过三维输入设备实现文物碎片的数字化，研究其空间曲面轮廓线的提 取，并根据轮廓线的匹配结果实现破碎文物的拼接复原。实现了曲面模型的匹配拼接、三维曲面模 型的融合和复原后曲面的三维编辑，构造了自动拼接与手工调整相结合的文物复原过程模型，为文 物研究及文物保护提供了准确的科学的数据。系统主要功能包括：文物的三维数字化；破碎物体的 自动拼接；友好的人机交互环境；破碎物体拼接方案的输出；修复后三维模型的三维展示。 成果用途：本项目研究为考古文物及古生物学遗物的复原、修复、仿制提供依据，填补国内空 白，开辟计算机辅助复原的新领域，另外还可应用于工业检测过程中的工业件识别及医学领域的外 科手术导航。 成果成熟度：市场化产品阶段（技术完全成熟，缺乏资金进行产业化） 投资方式：企业出资采购，学校为主体和企业共同实施转化；学校以该科技成果作价投资，与 其他单位共同实施转化。 预期成果收益：平台进一步优化推广后，预计每年新增产值5亿元以上。 西北大学高技术转移创新研究院科技成果转化办公室：029-88302617 成果完成人：耿国华 邮箱：kaifa@nwu.edu.cn 114 专利清单","2026-10-09T19:27:13.458Z",[811,812,813,814],{"code":482,"name":483},{"code":486,"name":487},{"code":399,"name":400},{"code":402,"name":403},[483,487,400,403],{"resultType":386,"id":817,"title":818,"abstract":819,"orgName":761,"province":438,"date":820,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":821,"tagNames":834},"cmv1bi3xy00b8bdd8ykygrzqk","穿越西汉 VR\u002FAR 系统","基于VR\u002FAR技术，可突破文化遗产实体游览的时空局限性，产品场景模型与史料记 载数据严格一致，准确再现了汉长安城恢弘原貌；以重要历史事件和历史人物为素材，以用户的感 受为关注点，精心设计体验细节，保证了产品的趣味性和沉浸感；将Kinect体感技术、HTC技术与 增强现实技术相结合，凸显出产品的特色和先进性。同时，还可以使文化遗产资源从市场中获得保 护资金，实现可持续的文化遗产保护，为后续合作开展文化遗产大数据消费打下了很好的基础。 成果用途：成果可以用于文化遗产VR\u002FAR体验馆产业化，也可以用于基于互联网的文化遗产虚 拟游览。通过用VR和AR技术实现支持虚拟文化遗产的身临其境参观、现实文化遗产的远程实时参 观，不仅可以解决我国文化遗产消费的瓶颈，还可以实现可持续的文化遗产保护。成果中采用的相 关技术如虚拟现实技术、人机交互技术、增强现实技术等也可用于娱乐、家居等其他很多领域应用。 成果成熟度：中试阶段 投资方式：企业出资采购，学校为主体和企业共同实施转化；学校以该科技成果作价投资，与 其他单位共同实施转化。 预期成果收益：12年内开发出完整的游览系统及相应的AR\u002FVR引擎并推向市场，产品推广后， 预计每年新增产值10亿元以上。 西北大学高技术转移创新研究院科技成果转化办公室：029-88302617 成果完成人：彭进业 邮箱：kaifa@nwu.edu.cn 113 专利清单","2026-10-09T19:27:13.440Z",[822,823,824,825,828,831,832,833],{"code":451,"name":452},{"code":486,"name":487},{"code":402,"name":403},{"code":826,"name":827},"GB-88","文化艺术业",{"code":829,"name":830},"GB-90","娱乐业",{"code":456,"name":457},{"code":470,"name":117},{"code":411,"name":412},[452,487,403,827,830,457,117,412],{"resultType":386,"id":836,"title":837,"abstract":838,"orgName":761,"province":438,"date":839,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":840,"tagNames":848},"cmv1bi3xt00b1bdd8gomoen85","智能灯箱","智能灯箱实现多样化的终端显示，切合不同的医学影像应用场景的需求，为医生提 供方便快捷的医疗辅助信息服务。产品具有主要功能：影像预处理，一方面根据不同科室，有针对 地对图像进行预处理，使图像更加清晰直观，病灶更加突出明显。另一方面，系统可以提供多部位 器官的精准分割及自动识别，为进一步的分析测量、诊断等服务提供了有利的帮助；医学影像器官 三维重建：医生只需要提供医学影像数据，就能在后端快速重建出器官的三维模型，提供可视化和 测量等简单操作。三维重建后效果直观，不仅可以准确定位病灶位置，而且方便医生患者交流；计 算机辅助诊断，已积累形成了中国人医学影像大数据，构建智能诊断模型，可以自动识别影像中可 以的病灶信息，减轻医生繁重的工作。 成果成熟度：完成产品原型，提交用户小试。 投资方式：技术转让等。 西北大学高技术转移创新研究院科技成果转化办公室：029-88302617 成果完成人：冯筠 邮箱：kaifa@nwu.edu.cn 112 专利清单","2026-10-09T19:27:13.435Z",[841,842,843,846,847],{"code":486,"name":487},{"code":402,"name":403},{"code":844,"name":845},"GB-84","卫生",{"code":456,"name":457},{"code":470,"name":117},[487,403,845,457,117],{"resultType":386,"id":850,"title":851,"abstract":852,"orgName":761,"province":438,"date":853,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":854,"tagNames":866},"cmv1bi3xn00aobdd87g553xyz","现代服务业安全网络支撑平台","研究团队通过集成网络管理、云计算、移动计算等技术，研发具有自主知识产权的 “现代服务业安全网络支撑平台”，构建一个安全、稳定、可靠的网络环境，解决当前服务业支撑 环境安全和服务质量等难以保证等问题，适用于各类复杂网络环境，易于向云计算架构移植，同时 支持移动终端接入的解决方案。 现代服务业安全网络支撑平台的关键技术包括支持多标准跨平台的一体化漏洞检测技术、安全 网络环境主动构建技术、漏洞安全服务个性化定制技术、支持多源关联的网络态势评估技术、 Hadoop云计算海量日志深度分析技术、自适应移动服务访问技术。团队在关键技术的研究基础上研 发一套安全监控服务平台系统，并发表相应的学术论文和申报国家科技发明专利。 成果成熟度：中试产品阶段（已解决关键技术，需要合作进行产业化攻关）。 预期成果收益：需要投入210万元对于平台进行改版设计及性能优化，更好面向移动服务市场。 按照目前漏洞扫描及安全评测的市场价格测算，重点针对企事业单位的安全环境，以每套30万或者 安全检测服务费计算，预期在达到年销售600万的销售收入。 西北大学高技术转移创新研究院科技成果转化办公室：029-88302617 成果完成人：高岭 邮箱：kaifa@nwu.edu.cn 110 专利清单 成果名称 智能电子象棋平台 --- 完成团队简介：西北大学智能信息处理研究团队成立于2006年，隶属西北大学信息科学与技术 学院，主要研究互联网+、大数据分析和媒体计算相关理论和技术，包括医疗数据分析、金融数据挖 掘、地址生物信息分类、自然语言处理、图像图形可视化技术、智能嵌入式设备、及软硬件产品开 发设计等。目前有在职教师8名，博士后2名，博士、硕士生60余名，本科创新小组及毕业设计学 生60余名。研究团队常年承担多项国家及省部级以上科研课题，广泛开展校企合作，和多家知名公 司签订合作及技术研发协议，承担多项相关企业委托","2026-10-09T19:27:13.429Z",[855,856,857,858,859,860,861,862,863,864,865],{"code":451,"name":452},{"code":486,"name":487},{"code":399,"name":400},{"code":402,"name":403},{"code":844,"name":845},{"code":456,"name":457},{"code":785,"name":786},{"code":492,"name":493},{"code":467,"name":468},{"code":470,"name":117},{"code":472,"name":473},[452,487,400,403,845,457,786,493,468,117,473],{"resultType":386,"id":868,"title":869,"abstract":870,"orgName":761,"province":438,"date":871,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":872,"tagNames":881},"cmv1bi3xd00agbdd8lfsbx5zg","基于 DRM 的数字内容安全防护系统","通过对数字内容（Office、PDF和CAD文档、图片、图表等）的存储、传输和使用过 程进行加密、访问控制、行为监控、日志审计、追踪，提供完善的细粒度的数字内容安全保护和监 控机制，实现数字内容在整个生命周期的安全管理。 关键技术：（1）基于DRM的内容保障和信息安全分发模型和访问控制模型。 （2）数字内容的版权保护技术。 （3）行为监控、审计与追踪技术研究。 （4）数字内容防护系统的可信执行及自 身抗攻击问题。 技术特点：（1）基于DRM的多层次、 全方位的数字内容完备保护体系； （2）融版权保护和操作权限控制于一体、 在线和离线相结合的数字内容安全防护方法； （3）模型驱动的、组件式系统架构 (MDA)。 预期成果收益：基于DRM的数字产品的保护系统，能够为企业建立起一个安全、放心的信息共 享的平台，对创建效益型企业、促进地区经济发展具有积极的社会意义。预计售价为0.1万元\u002F客户 端，2万元\u002F服务端；服务费用每年按合同额的5%收取。 转化方式：软件销售、技术转让或委托开发。 投资预算：总投资预算为80万元。 西北大学高技术转移创新研究院科技成果转化办公室：029-88302617 成果完成人：房鼎益 邮箱：kaifa@nwu.edu.cn 109 专利清单","2026-10-09T19:27:13.423Z",[873,874,877,878,879,880],{"code":504,"name":505},{"code":875,"name":876},"GB-72","商务服务业",{"code":486,"name":487},{"code":402,"name":403},{"code":456,"name":457},{"code":472,"name":473},[505,876,487,403,457,473],{"resultType":386,"id":883,"title":884,"abstract":885,"orgName":761,"province":438,"date":886,"trl":10,"transferMode":10,"keywords":394,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":396,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":887,"tagNames":891},"cmv1bi3x800abbdd8s7xlzs4u","文档数字化与资源共享平台","文档数字化管理与资源共享平台是承载未来陕西省科技信息资源中心四大平台之一， 以资源共享的方式进行全省科技文档统一建设、集中管理、信息共享。其主要核心技术如下：（1） 海量异构资源动态管理模型：针对服务类型和服务属性的多样性，提出了动态模型管理方法，结合 数据挖掘、策略设计模式等理论，采用数据定义语言（DDL），实现资源动态定义模型。对不同服务 类型，根据不同类型调用相匹配的函数，实现43类不同格式服务资源自动化转换为规范格式的服务 资源。（2）属性级可控访问：基于规范属性标准与RBAC模型，将资源属性信息独立保存，建立授 权用户与资源属性的直接关联，实现对资源的属性级授权控制，在单次授权的基础上实现二次授权 及多次授权，进一步提升权限控制的灵活性。（3）多类型径向筛选：通过对筛选条件的优化分析， 构造以筛选关键字、公共信息服务类型、规范属性、属性值为筛选路径的径向筛选技术，并通过匹 配用户历史筛选，主动对筛选结果进行内容过滤，返回个性化的可控筛选。 成果成熟度：中试产品阶段（已解决关键技术，需要合作进行产业化攻关）。 转化方式：合作推广。 预期成果收益：进一步市场化放大约需投入180万元，若建成覆盖陕西省的科技资源共享平台， 以年服务人群数量10万计，每人次节约相关费用15元计，每年能够为社会节约150万元。 西北大学高技术转移创新研究院科技成果转化办公室：029-88302617 成果完成人：高岭 邮箱：kaifa@nwu.edu.cn 108 专利清单","2026-10-09T19:27:13.417Z",[888,889,890],{"code":486,"name":487},{"code":399,"name":400},{"code":402,"name":403},[487,400,403],1,2,[895,1102,1177,1803],{"group":896,"code":896,"name":897,"count":207,"tags":898},"CHAIN","产业链环节",[899,904,911,918,922,928,934,940,945,949,954,961,967,973,976,981,984,988,994,999,1005,1011,1018,1023,1030,1037,1040,1047,1051,1055,1059,1065,1069,1073,1078,1083,1088,1091,1097],{"code":801,"name":802,"group":896,"gb4754":10,"parent":10,"aliases":900,"expertCount":903},[901,902],"量子","量子计算",179,{"code":905,"name":906,"group":896,"gb4754":10,"parent":10,"aliases":907,"expertCount":910},"CH-02","生物制造",[908,909],"合成生物制造","生物基制造",16,{"code":912,"name":913,"group":896,"gb4754":10,"parent":10,"aliases":914,"expertCount":917},"CH-03","氢能与核聚变能",[915,916],"氢能","核聚变",67,{"code":634,"name":635,"group":896,"gb4754":10,"parent":10,"aliases":919,"expertCount":33},[920,921],"脑机","脑机交互",{"code":923,"name":924,"group":896,"gb4754":10,"parent":10,"aliases":925,"expertCount":927},"CH-05","具身智能",[926],"具身智能机器人",48,{"code":929,"name":930,"group":896,"gb4754":10,"parent":10,"aliases":931,"expertCount":933},"CH-06","6G",[932],"第六代通信",25,{"code":935,"name":936,"group":896,"gb4754":10,"parent":10,"aliases":937,"expertCount":939},"CH-07","未来能源",[938],"未来能源技术",13,{"code":533,"name":534,"group":896,"gb4754":10,"parent":10,"aliases":941,"expertCount":944},[942,943],"芯片","半导体",666,{"code":459,"name":460,"group":896,"gb4754":10,"parent":10,"aliases":946,"expertCount":948},[947],"航空航天制造",706,{"code":405,"name":406,"group":896,"gb4754":10,"parent":10,"aliases":950,"expertCount":953},[951,952],"医药","生物药",1016,{"code":955,"name":956,"group":896,"gb4754":10,"parent":10,"aliases":957,"expertCount":960},"CH-11","低空经济",[958,959],"低空","低空飞行",26,{"code":962,"name":963,"group":896,"gb4754":10,"parent":10,"aliases":964,"expertCount":966},"CH-12","新型显示",[965],"显示面板",5,{"code":968,"name":969,"group":896,"gb4754":10,"parent":10,"aliases":970,"expertCount":972},"CH-13","新材料",[971],"先进材料",1262,{"code":974,"name":98,"group":896,"gb4754":10,"parent":10,"aliases":975,"expertCount":892},"CH-14",[98],{"code":977,"name":978,"group":896,"gb4754":10,"parent":10,"aliases":979,"expertCount":20},"CH-15","深海科技",[980],"深海",{"code":462,"name":79,"group":896,"gb4754":10,"parent":10,"aliases":982,"expertCount":56},[79,983],"星座",{"code":637,"name":638,"group":896,"gb4754":10,"parent":10,"aliases":985,"expertCount":987},[986],"新一代IT",321,{"code":989,"name":990,"group":896,"gb4754":10,"parent":10,"aliases":991,"expertCount":993},"CH-18","生物技术",[992],"生物科技",201,{"code":995,"name":996,"group":896,"gb4754":10,"parent":10,"aliases":997,"expertCount":998},"CH-19","新能源",[996],581,{"code":1000,"name":1001,"group":896,"gb4754":10,"parent":10,"aliases":1002,"expertCount":1004},"CH-20","高端装备",[1003],"高端装备制造",587,{"code":1006,"name":1007,"group":896,"gb4754":10,"parent":10,"aliases":1008,"expertCount":70},"CH-21","新能源汽车",[1009,1010],"电动车","EV",{"code":1012,"name":1013,"group":896,"gb4754":10,"parent":10,"aliases":1014,"expertCount":1017},"CH-22","绿色环保",[1015,1016],"环保","绿色低碳",1145,{"code":1019,"name":1020,"group":896,"gb4754":10,"parent":10,"aliases":1021,"expertCount":146},"CH-23","海洋装备",[1022],"海洋工程装备",{"code":1024,"name":1025,"group":896,"gb4754":10,"parent":10,"aliases":1026,"expertCount":1029},"CH-24","现代农业",[1027,1028],"智慧农业","农业",2432,{"code":1031,"name":1032,"group":896,"gb4754":10,"parent":10,"aliases":1033,"expertCount":1036},"CH-25","采矿",[1034,1035],"矿业","矿山",378,{"code":718,"name":719,"group":896,"gb4754":10,"parent":10,"aliases":1038,"expertCount":202},[1039],"电力行业",{"code":1041,"name":1042,"group":896,"gb4754":10,"parent":10,"aliases":1043,"expertCount":1046},"CH-27","建筑",[1044,1045],"建筑业","建造",975,{"code":464,"name":465,"group":896,"gb4754":10,"parent":10,"aliases":1048,"expertCount":1050},[1049],"交通运输",3617,{"code":785,"name":786,"group":896,"gb4754":10,"parent":10,"aliases":1052,"expertCount":1054},[1053],"金融业",77,{"code":408,"name":409,"group":896,"gb4754":10,"parent":10,"aliases":1056,"expertCount":1058},[1057,395],"制造业",668,{"code":1060,"name":1061,"group":896,"gb4754":10,"parent":10,"aliases":1062,"expertCount":1064},"CH-31","石油化工",[1063],"石化",253,{"code":1066,"name":1067,"group":896,"gb4754":10,"parent":10,"aliases":1068,"expertCount":33},"CH-32","消费电子",[1067],{"code":492,"name":493,"group":896,"gb4754":10,"parent":10,"aliases":1070,"expertCount":1072},[1071],"AI",1668,{"code":467,"name":468,"group":896,"gb4754":10,"parent":10,"aliases":1074,"expertCount":1077},[1075,1076],"云计算","算力",56,{"code":470,"name":117,"group":896,"gb4754":10,"parent":10,"aliases":1079,"expertCount":1082},[1080,1081],"大数据","数据要素",271,{"code":1084,"name":1085,"group":896,"gb4754":10,"parent":10,"aliases":1086,"expertCount":1087},"CH-36","工业互联网",[1085],14,{"code":643,"name":644,"group":896,"gb4754":10,"parent":10,"aliases":1089,"expertCount":234},[1090],"IoT",{"code":1092,"name":1093,"group":896,"gb4754":10,"parent":10,"aliases":1094,"expertCount":1096},"CH-38","区块链",[1095],"Blockchain",19,{"code":472,"name":473,"group":896,"gb4754":10,"parent":10,"aliases":1098,"expertCount":1101},[1099,1100],"网络安全","安全",480,{"group":46,"code":46,"name":45,"count":1087,"tags":1103},[1104,1110,1116,1121,1124,1129,1135,1139,1145,1150,1156,1162,1167,1172],{"code":1105,"name":1106,"group":46,"gb4754":10,"parent":10,"aliases":1107,"expertCount":1109},"FU-01","未来制造",[1108],"未来制造技术",23,{"code":1111,"name":1112,"group":46,"gb4754":10,"parent":10,"aliases":1113,"expertCount":1115},"FU-02","未来信息",[1114],"未来信息技术",29,{"code":1117,"name":1118,"group":46,"gb4754":10,"parent":10,"aliases":1119,"expertCount":1120},"FU-03","未来材料",[1118],184,{"code":1122,"name":936,"group":46,"gb4754":10,"parent":10,"aliases":1123,"expertCount":1109},"FU-04",[938],{"code":1125,"name":1126,"group":46,"gb4754":10,"parent":10,"aliases":1127,"expertCount":966},"FU-05","未来空间",[1128],"未来空间技术",{"code":1130,"name":1131,"group":46,"gb4754":10,"parent":10,"aliases":1132,"expertCount":1134},"FU-06","未来健康",[1133],"未来健康技术",0,{"code":411,"name":412,"group":46,"gb4754":10,"parent":10,"aliases":1136,"expertCount":1138},[1137],"Metaverse",68,{"code":647,"name":648,"group":46,"gb4754":10,"parent":10,"aliases":1140,"expertCount":1144},[1141,1142,1143],"AIGC","生成式AI","通用人工智能",151,{"code":1146,"name":1147,"group":46,"gb4754":10,"parent":10,"aliases":1148,"expertCount":32},"FU-09","合成生物学",[1149],"合成生物",{"code":1151,"name":1152,"group":46,"gb4754":10,"parent":10,"aliases":1153,"expertCount":1096},"FU-10","基因与细胞治疗",[1154,1155],"细胞治疗","基因治疗",{"code":1157,"name":1158,"group":46,"gb4754":10,"parent":10,"aliases":1159,"expertCount":1161},"FU-11","新型储能",[1160],"储能",106,{"code":1163,"name":1164,"group":46,"gb4754":10,"parent":10,"aliases":1165,"expertCount":83},"FU-12","钙钛矿光伏",[1166],"钙钛矿",{"code":1168,"name":1169,"group":46,"gb4754":10,"parent":10,"aliases":1170,"expertCount":163},"FU-13","第三代半导体",[1169,1171],"宽禁带半导体",{"code":1173,"name":1174,"group":46,"gb4754":10,"parent":10,"aliases":1175,"expertCount":83},"FU-14","类脑智能",[1176],"类脑计算",{"group":1178,"code":1178,"name":1179,"count":1180,"tags":1181},"GB4754","国民经济行业分类",97,[1182,1190,1198,1205,1212,1218,1226,1233,1240,1246,1252,1258,1264,1272,1278,1285,1291,1296,1303,1309,1315,1321,1327,1333,1340,1348,1356,1361,1367,1373,1380,1387,1395,1401,1405,1411,1418,1425,1431,1438,1444,1450,1457,1464,1470,1477,1484,1492,1500,1506,1513,1521,1525,1533,1540,1545,1551,1557,1564,1569,1576,1584,1590,1596,1600,1606,1614,1620,1624,1630,1637,1644,1650,1657,1662,1667,1675,1682,1689,1695,1702,1708,1714,1720,1726,1732,1739,1745,1750,1755,1759,1766,1772,1778,1784,1791,1797],{"code":1183,"name":1028,"group":1178,"gb4754":1184,"parent":1185,"aliases":1186,"expertCount":1189},"GB-01","01","A",[1187,1188],"农林种植","种植业",2435,{"code":1191,"name":1192,"group":1178,"gb4754":1193,"parent":1185,"aliases":1194,"expertCount":1197},"GB-02","林业","02",[1195,1196],"营林","造林",131,{"code":1199,"name":1200,"group":1178,"gb4754":1201,"parent":1185,"aliases":1202,"expertCount":13},"GB-03","畜牧业","03",[1203,1204],"养殖","畜禽养殖",{"code":1206,"name":1207,"group":1178,"gb4754":1208,"parent":1185,"aliases":1209,"expertCount":83},"GB-04","渔业","04",[1210,1211],"水产","水产养殖",{"code":1213,"name":1214,"group":1178,"gb4754":1215,"parent":1185,"aliases":1216,"expertCount":1134},"GB-05","农、林、牧、渔专业及辅助性活动","05",[1217],"农林牧渔服务",{"code":1219,"name":1220,"group":1178,"gb4754":1221,"parent":1222,"aliases":1223,"expertCount":259},"GB-06","煤炭开采和洗选业","06","B",[1224,1225],"煤炭","煤矿",{"code":1227,"name":1228,"group":1178,"gb4754":1229,"parent":1222,"aliases":1230,"expertCount":240},"GB-07","石油和天然气开采业","07",[1231,1232],"油气开采","油气",{"code":1234,"name":1235,"group":1178,"gb4754":1236,"parent":1222,"aliases":1237,"expertCount":1239},"GB-08","黑色金属矿采选业","08",[1238],"铁矿采选",3,{"code":1241,"name":1242,"group":1178,"gb4754":1243,"parent":1222,"aliases":1244,"expertCount":259},"GB-09","有色金属矿采选业","09",[1245],"有色矿采选",{"code":1247,"name":1248,"group":1178,"gb4754":1249,"parent":1222,"aliases":1250,"expertCount":1239},"GB-10","非金属矿采选业","10",[1251],"非金属矿",{"code":1253,"name":1254,"group":1178,"gb4754":1255,"parent":1222,"aliases":1256,"expertCount":1134},"GB-11","开采专业及辅助性活动","11",[1257],"矿山服务",{"code":1259,"name":1260,"group":1178,"gb4754":1261,"parent":1222,"aliases":1262,"expertCount":1134},"GB-12","其他采矿业","12",[1263],"其他采矿",{"code":1265,"name":1266,"group":1178,"gb4754":1267,"parent":1268,"aliases":1269,"expertCount":1271},"GB-13","农副食品加工业","13","C",[1270],"农副食品",4,{"code":1273,"name":1274,"group":1178,"gb4754":1275,"parent":1268,"aliases":1276,"expertCount":202},"GB-14","食品制造业","14",[1277],"食品制造",{"code":1279,"name":1280,"group":1178,"gb4754":1281,"parent":1268,"aliases":1282,"expertCount":892},"GB-15","酒、饮料和精制茶制造业","15",[1283,1284],"酒类饮料","茶饮",{"code":1286,"name":1287,"group":1178,"gb4754":1288,"parent":1268,"aliases":1289,"expertCount":892},"GB-16","烟草制品业","16",[1290],"烟草",{"code":733,"name":734,"group":1178,"gb4754":1292,"parent":1268,"aliases":1293,"expertCount":1134},"17",[1294,1295],"纺织","棉纺",{"code":1297,"name":1298,"group":1178,"gb4754":1299,"parent":1268,"aliases":1300,"expertCount":1134},"GB-18","纺织服装、服饰业","18",[1301,1302],"服装","服饰",{"code":1304,"name":1305,"group":1178,"gb4754":1306,"parent":1268,"aliases":1307,"expertCount":1134},"GB-19","皮革、毛皮、羽毛及其制品和制鞋业","19",[1308],"皮革制鞋",{"code":1310,"name":1311,"group":1178,"gb4754":1312,"parent":1268,"aliases":1313,"expertCount":1239},"GB-20","木材加工和木、竹、藤、棕、草制品业","20",[1314],"木材加工",{"code":1316,"name":1317,"group":1178,"gb4754":1318,"parent":1268,"aliases":1319,"expertCount":1134},"GB-21","家具制造业","21",[1320],"家具",{"code":1322,"name":1323,"group":1178,"gb4754":1324,"parent":1268,"aliases":1325,"expertCount":1134},"GB-22","造纸和纸制品业","22",[1326],"造纸",{"code":1328,"name":1329,"group":1178,"gb4754":1330,"parent":1268,"aliases":1331,"expertCount":63},"GB-23","印刷和记录媒介复制业","23",[1332],"印刷复制",{"code":1334,"name":1335,"group":1178,"gb4754":1336,"parent":1268,"aliases":1337,"expertCount":1134},"GB-24","文教、工美、体育和娱乐用品制造业","24",[1338,1339],"文体用品","工美",{"code":1341,"name":1342,"group":1178,"gb4754":1343,"parent":1268,"aliases":1344,"expertCount":1239},"GB-25","石油、煤炭及其他燃料加工业","25",[1345,1346,1347],"石油加工","炼油","煤化工",{"code":1349,"name":1350,"group":1178,"gb4754":1351,"parent":1268,"aliases":1352,"expertCount":1355},"GB-26","化学原料和化学制品制造业","26",[1353,1354],"化工","化学原料",283,{"code":765,"name":766,"group":1178,"gb4754":1357,"parent":1268,"aliases":1358,"expertCount":1360},"27",[951,1359],"制药",988,{"code":1362,"name":1363,"group":1178,"gb4754":1364,"parent":1268,"aliases":1365,"expertCount":1239},"GB-28","化学纤维制造业","28",[1366],"化纤",{"code":1368,"name":1369,"group":1178,"gb4754":1370,"parent":1268,"aliases":1371,"expertCount":294},"GB-29","橡胶和塑料制品业","29",[1372],"橡胶塑料",{"code":1374,"name":1375,"group":1178,"gb4754":1376,"parent":1268,"aliases":1377,"expertCount":265},"GB-30","非金属矿物制品业","30",[1378,1379],"建材","非金属矿物",{"code":1381,"name":1382,"group":1178,"gb4754":1383,"parent":1268,"aliases":1384,"expertCount":13},"GB-31","黑色金属冶炼和压延加工业","31",[1385,1386],"钢铁","黑色冶金",{"code":1388,"name":1389,"group":1178,"gb4754":1390,"parent":1268,"aliases":1391,"expertCount":1394},"GB-32","有色金属冶炼和压延加工业","32",[1392,1393],"有色冶金","有色金属",42,{"code":1396,"name":1397,"group":1178,"gb4754":1398,"parent":1268,"aliases":1399,"expertCount":56},"GB-33","金属制品业","33",[1400],"金属制品",{"code":745,"name":746,"group":1178,"gb4754":1402,"parent":1268,"aliases":1403,"expertCount":157},"34",[1404],"通用设备",{"code":1406,"name":1407,"group":1178,"gb4754":1408,"parent":1268,"aliases":1409,"expertCount":892},"GB-35","专用设备制造业","35",[1410],"专用设备",{"code":1412,"name":1413,"group":1178,"gb4754":1414,"parent":1268,"aliases":1415,"expertCount":328},"GB-36","汽车制造业","36",[1416,1417],"汽车","整车",{"code":1419,"name":1420,"group":1178,"gb4754":1421,"parent":1268,"aliases":1422,"expertCount":1424},"GB-37","铁路、船舶、航空航天和其他运输设备制造业","37",[1423],"轨道船舶航空航天",707,{"code":555,"name":556,"group":1178,"gb4754":1426,"parent":1268,"aliases":1427,"expertCount":1430},"38",[1428,1429],"电气机械","电工电器",867,{"code":482,"name":483,"group":1178,"gb4754":1432,"parent":1268,"aliases":1433,"expertCount":1437},"39",[1434,1435,1436],"电子设备","电子制造","通信设备",1192,{"code":558,"name":559,"group":1178,"gb4754":1439,"parent":1268,"aliases":1440,"expertCount":1443},"40",[1441,1442],"仪器仪表","仪表",130,{"code":1445,"name":1446,"group":1178,"gb4754":1447,"parent":1268,"aliases":1448,"expertCount":1134},"GB-41","其他制造业","41",[1449],"其他制造",{"code":1451,"name":1452,"group":1178,"gb4754":1453,"parent":1268,"aliases":1454,"expertCount":910},"GB-42","废弃资源综合利用业","42",[1455,1456],"资源综合利用","再生资源",{"code":1458,"name":1459,"group":1178,"gb4754":1460,"parent":1268,"aliases":1461,"expertCount":1134},"GB-43","金属制品、机械和设备修理业","43",[1462,1463],"设备修理","机电维修",{"code":671,"name":672,"group":1178,"gb4754":1465,"parent":1466,"aliases":1467,"expertCount":1469},"44","D",[719,1468],"热电",164,{"code":1471,"name":1472,"group":1178,"gb4754":1473,"parent":1466,"aliases":1474,"expertCount":1087},"GB-45","燃气生产和供应业","45",[1475,1476],"燃气","城市燃气",{"code":1478,"name":1479,"group":1178,"gb4754":1480,"parent":1466,"aliases":1481,"expertCount":32},"GB-46","水的生产和供应业","46",[1482,1483],"供水","水务",{"code":1485,"name":1486,"group":1178,"gb4754":1487,"parent":1488,"aliases":1489,"expertCount":1134},"GB-47","房屋建筑业","47","E",[1490,1491],"房屋建筑","房建",{"code":1493,"name":1494,"group":1178,"gb4754":1495,"parent":1488,"aliases":1496,"expertCount":1499},"GB-48","土木工程建筑业","48",[1497,1498],"土木建筑","基建",284,{"code":1501,"name":1502,"group":1178,"gb4754":1503,"parent":1488,"aliases":1504,"expertCount":1134},"GB-49","建筑安装业","49",[1505],"建筑安装",{"code":1507,"name":1508,"group":1178,"gb4754":1509,"parent":1488,"aliases":1510,"expertCount":1134},"GB-50","建筑装饰、装修和其他建筑业","50",[1511,1512],"建筑装饰","装修",{"code":1514,"name":1515,"group":1178,"gb4754":1516,"parent":1517,"aliases":1518,"expertCount":892},"GB-51","批发业","51","F",[1519,1520],"批发","商贸批发",{"code":769,"name":770,"group":1178,"gb4754":1522,"parent":1517,"aliases":1523,"expertCount":1271},"52",[1524],"零售",{"code":1526,"name":1527,"group":1178,"gb4754":1528,"parent":1529,"aliases":1530,"expertCount":1115},"GB-53","铁路运输业","53","G",[1531,1532],"铁路运输","铁路",{"code":1534,"name":1535,"group":1178,"gb4754":1536,"parent":1529,"aliases":1537,"expertCount":939},"GB-54","道路运输业","54",[1538,1539],"道路运输","公路运输",{"code":442,"name":443,"group":1178,"gb4754":1541,"parent":1529,"aliases":1542,"expertCount":32},"55",[1543,1544],"水运","航运",{"code":445,"name":446,"group":1178,"gb4754":1546,"parent":1529,"aliases":1547,"expertCount":1550},"56",[1548,1549],"航空运输","民航",642,{"code":1552,"name":1553,"group":1178,"gb4754":1554,"parent":1529,"aliases":1555,"expertCount":1096},"GB-57","管道运输业","57",[1556],"管道运输",{"code":1558,"name":1559,"group":1178,"gb4754":1560,"parent":1529,"aliases":1561,"expertCount":893},"GB-58","装卸搬运和仓储业","58",[1562,1563],"仓储","物流仓储",{"code":448,"name":449,"group":1178,"gb4754":1565,"parent":1529,"aliases":1566,"expertCount":32},"59",[1567,1568],"邮政","快递",{"code":1570,"name":1571,"group":1178,"gb4754":1572,"parent":1529,"aliases":1573,"expertCount":892},"GB-60","多式联运和运输代理业","60",[1574,1575],"多式联运","货运代理",{"code":1577,"name":1578,"group":1178,"gb4754":1579,"parent":1580,"aliases":1581,"expertCount":1134},"GB-61","住宿业","61","H",[1582,1583],"住宿","酒店",{"code":1585,"name":1586,"group":1178,"gb4754":1587,"parent":1580,"aliases":1588,"expertCount":1134},"GB-62","餐饮业","62",[1589],"餐饮",{"code":625,"name":626,"group":1178,"gb4754":1591,"parent":1592,"aliases":1593,"expertCount":1087},"63","I",[1594,1595],"电信","通信运营",{"code":451,"name":452,"group":1178,"gb4754":1597,"parent":1592,"aliases":1598,"expertCount":316},"64",[1599],"互联网服务",{"code":504,"name":505,"group":1178,"gb4754":1601,"parent":1592,"aliases":1602,"expertCount":1605},"65",[1603,1604],"软件","IT服务",451,{"code":1607,"name":1608,"group":1178,"gb4754":1609,"parent":1610,"aliases":1611,"expertCount":49},"GB-66","货币金融服务","66","J",[1612,1613],"银行","货币金融",{"code":573,"name":574,"group":1178,"gb4754":1615,"parent":1610,"aliases":1616,"expertCount":1619},"67",[1617,1618],"资本市场","证券基金",238,{"code":772,"name":773,"group":1178,"gb4754":1621,"parent":1610,"aliases":1622,"expertCount":32},"68",[1623],"保险",{"code":1625,"name":1626,"group":1178,"gb4754":1627,"parent":1610,"aliases":1628,"expertCount":892},"GB-69","其他金融业","69",[1629],"其他金融",{"code":1631,"name":1632,"group":1178,"gb4754":1633,"parent":1634,"aliases":1635,"expertCount":1239},"GB-70","房地产业","70","K",[1636],"房地产",{"code":1638,"name":1639,"group":1178,"gb4754":1640,"parent":1641,"aliases":1642,"expertCount":892},"GB-71","租赁业","71","L",[1643],"租赁",{"code":875,"name":876,"group":1178,"gb4754":1645,"parent":1641,"aliases":1646,"expertCount":1649},"72",[1647,1648],"商务服务","专业服务",66,{"code":486,"name":487,"group":1178,"gb4754":1651,"parent":1652,"aliases":1653,"expertCount":1656},"73","M",[1654,1655],"研发","研究试验",2855,{"code":399,"name":400,"group":1178,"gb4754":1658,"parent":1652,"aliases":1659,"expertCount":1661},"74",[1660],"专业技术服务",358,{"code":402,"name":403,"group":1178,"gb4754":1663,"parent":1652,"aliases":1664,"expertCount":1134},"75",[1665,1666],"科技服务","技术推广",{"code":1668,"name":1669,"group":1178,"gb4754":1670,"parent":1671,"aliases":1672,"expertCount":1674},"GB-76","水利管理业","76","N",[1673],"水利",127,{"code":1676,"name":1677,"group":1178,"gb4754":1678,"parent":1671,"aliases":1679,"expertCount":1681},"GB-77","生态保护和环境治理业","77",[1680,1015],"环境治理",1070,{"code":1683,"name":1684,"group":1178,"gb4754":1685,"parent":1671,"aliases":1686,"expertCount":1688},"GB-78","公共设施管理业","78",[1687],"市政公用设施",17,{"code":1690,"name":1691,"group":1178,"gb4754":1692,"parent":1671,"aliases":1693,"expertCount":1134},"GB-79","土地管理业","79",[1694],"土地管理",{"code":1696,"name":1697,"group":1178,"gb4754":1698,"parent":1699,"aliases":1700,"expertCount":1134},"GB-80","居民服务业","80","O",[1701],"居民服务",{"code":1703,"name":1704,"group":1178,"gb4754":1705,"parent":1699,"aliases":1706,"expertCount":1134},"GB-81","机动车、电子产品和日用产品修理业","81",[1707],"修理维护",{"code":1709,"name":1710,"group":1178,"gb4754":1711,"parent":1699,"aliases":1712,"expertCount":1134},"GB-82","其他服务业","82",[1713],"其他服务",{"code":630,"name":631,"group":1178,"gb4754":1715,"parent":1716,"aliases":1717,"expertCount":1719},"83","P",[631,1718],"教育培训",339,{"code":844,"name":845,"group":1178,"gb4754":1721,"parent":1722,"aliases":1723,"expertCount":1725},"84","Q",[845,1724],"医疗",456,{"code":1727,"name":1728,"group":1178,"gb4754":1729,"parent":1722,"aliases":1730,"expertCount":910},"GB-85","社会工作","85",[1728,1731],"社工",{"code":1733,"name":1734,"group":1178,"gb4754":1735,"parent":1736,"aliases":1737,"expertCount":192},"GB-86","新闻和出版业","86","R",[1738],"新闻出版",{"code":1740,"name":1741,"group":1178,"gb4754":1742,"parent":1736,"aliases":1743,"expertCount":294},"GB-87","广播、电视、电影和录音制作业","87",[1744],"广电影视",{"code":826,"name":827,"group":1178,"gb4754":1746,"parent":1736,"aliases":1747,"expertCount":1749},"88",[1748],"文化艺术",45,{"code":1751,"name":1752,"group":1178,"gb4754":1753,"parent":1736,"aliases":1754,"expertCount":21},"GB-89","体育","89",[1752],{"code":829,"name":830,"group":1178,"gb4754":1756,"parent":1736,"aliases":1757,"expertCount":1239},"90",[1758],"娱乐",{"code":1760,"name":1761,"group":1178,"gb4754":1762,"parent":1763,"aliases":1764,"expertCount":1134},"GB-91","中国共产党机关","91","S",[1765],"党政机关",{"code":778,"name":779,"group":1178,"gb4754":1767,"parent":1763,"aliases":1768,"expertCount":1771},"92",[1769,1770],"政府机构","国家机关",22,{"code":1773,"name":1774,"group":1178,"gb4754":1775,"parent":1763,"aliases":1776,"expertCount":893},"GB-93","人民政协、民主党派","93",[1777],"政协民主党派",{"code":1779,"name":1780,"group":1178,"gb4754":1781,"parent":1763,"aliases":1782,"expertCount":49},"GB-94","社会保障","94",[1783,1780],"社保",{"code":1785,"name":1786,"group":1178,"gb4754":1787,"parent":1763,"aliases":1788,"expertCount":282},"GB-95","群众团体、社会团体和其他成员组织","95",[1789,1790],"社会团体","社会组织",{"code":1792,"name":1793,"group":1178,"gb4754":1794,"parent":1763,"aliases":1795,"expertCount":1134},"GB-96","基层群众自治组织及其他组织","96",[1796],"基层自治组织",{"code":1798,"name":1799,"group":1178,"gb4754":1800,"parent":1801,"aliases":1802,"expertCount":1134},"GB-97","国际组织","97","T",[1799],{"group":1804,"code":1804,"name":7,"count":63,"tags":1805},"SEI",[1806,1809,1812,1817,1823,1827,1832,1839,1844],{"code":456,"name":457,"group":1804,"gb4754":10,"parent":10,"aliases":1807,"expertCount":1808},[638,986],2228,{"code":751,"name":752,"group":1804,"gb4754":10,"parent":10,"aliases":1810,"expertCount":1811},[1001],691,{"code":1813,"name":1814,"group":1804,"gb4754":10,"parent":10,"aliases":1815,"expertCount":1816},"SEI-03","新材料产业",[969],1246,{"code":1818,"name":1819,"group":1804,"gb4754":10,"parent":10,"aliases":1820,"expertCount":1822},"SEI-04","生物产业",[1819,1821],"生物医药生物",1085,{"code":1824,"name":1825,"group":1804,"gb4754":10,"parent":10,"aliases":1826,"expertCount":84},"SEI-05","新能源汽车产业",[1007,1009],{"code":1828,"name":1829,"group":1804,"gb4754":10,"parent":10,"aliases":1830,"expertCount":1831},"SEI-06","新能源产业",[996],633,{"code":1833,"name":1834,"group":1804,"gb4754":10,"parent":10,"aliases":1835,"expertCount":1838},"SEI-07","节能环保产业",[1836,1837],"节能环保","环保产业",166,{"code":1840,"name":1841,"group":1804,"gb4754":10,"parent":10,"aliases":1842,"expertCount":1271},"SEI-08","数字创意产业",[1843],"数字创意",{"code":1845,"name":1846,"group":1804,"gb4754":10,"parent":10,"aliases":1847,"expertCount":56},"SEI-09","相关服务业",[1848],"战略性新兴服务业",{"list":1850,"total":1863,"page":892,"pageSize":892,"totalPages":1863},[1851],{"id":1852,"name":1853,"orgName":1854,"school":10,"gender":10,"title":10,"degree":10,"honor":1855,"position":1856,"researchDirection":1857,"intro":1858,"province":10,"completeness":146,"avatarAuthorized":396,"sourceUrl":1859,"nameValid":1860,"tags":1861,"tagNames":1862},"cmv7rhq670185hikyk9jek0tg","肖绪文","中国建筑股份有限公司","ACADEMICIAN","中国建筑科技研发序列首席专家","绿色建造与施工技术方向","肖绪文，建筑工程专家，1953年4月生于陕西商洛，1977年毕业于清华大学。2013年当选中国工程院院士。现任中国建筑股份有限公司首席专家、技术中心顾问总工，兼任中国建筑业协会副会长。长期从事建筑施工、绿色施工与绿色建造、信息化建造研究，主持完成数十项重大工程的设计与施工，主编《建筑施工手册》等专业著作，获国家科技进步二等奖多项，是我国建筑施工技术领域的学术带头人。","chaingraph:\u002F\u002F肖绪文",true,[],[],35218]