[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"chains-groupcat":3,"experts-list":383,"experts-coverage":698,"tags-groups":700},[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":696,"page":697,"pageSize":223,"totalPages":697},[385,401,412,422,431,464,482,501,535,548,583,598,636,646,678,688],{"id":386,"name":387,"orgName":388,"school":389,"gender":390,"title":391,"degree":392,"honor":10,"position":10,"researchDirection":393,"intro":394,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":397,"nameValid":398,"tags":399,"tagNames":400},"29d25379-36d3-4a93-bf1e-1415a6b80d3b","王旭昊","长安大学公路学院","长安大学","男","教授","博士","长期从事道路与机场工程领域的科学研究与工程实践工作，于2018年入选陕西省“千人计划”青年人才项目。近五年来，聚焦极端环境绿色高性能混凝土材料低碳、智慧生产与健康服役，从服役条件复杂多变、早期病害频发、服役寿命不足等现实问题出发，通过主持国家自然科学基金面上、地区、民航联合研究基金专题项目、十四五国家重点研发计划专题、教育部博士点基金面上项目等科技攻关项目，重点开展①特殊地区混凝土低碳生产与耐久性提升关键技术；②数据驱动高韧性工程混凝土智能优化；③绿色高性能混凝土新材料研发与装配式建造；④机场道面智慧维养与检测技术等研究。主要体现在：1. 高寒区混凝土道路结构多场多尺度损伤机理。高寒区盐冻复合作用下，盐蚀的存在会加剧飞行区道面和路面冻融破坏，同时与材料的水化产物形成极复杂的膨胀复盐，此类反应造成的道路结构性损伤规律极难被量化。（1）提出了相图与盐冻化学反应机理拟合解析手段，结合材料科学创新了表征技术的分析体系；（2）利用分析体系进行传输-反应-损伤经时关系解耦，探明了微结构损伤规律；（3）开展了跨尺度分析，实现了复合作用下混凝土材料多场损伤机理的量化解析。基于此，建立了全国高寒区15个代表性城市的环境特征数据库，利用交叉学科创新表征手段建立了跨尺度渗透-损伤准则，有效突破了其服役性能难预测的制约，为实现新时代西部大开发寒区超长寿命道路设计提供了方法支撑。系列成果发表于Cement Concrete and Composites等行业顶刊，量化的损伤机理解析得到东南大学缪昌文院士和美国西北大学S.P. Shah院士等国内外学者的评价和引用。2. 数据驱动高韧性工程混凝土智能优化。为掌握高韧性工程混凝土在多种结构工程中的服役性能演变规律，亟需利用工程耐久性精准检控与预测形成大数据驱动的材料配比智能优化，形成原材料智能检测、新材料微结构调控和延寿机理反馈的平衡体系。申报人凝练出“高韧性工程混凝土‘检、调、预’”的优化体系。（1）检：依托5G云平台传输及视觉识别技术，搭建了基于傅里叶转换算法的骨料智能分析数据库及视觉检测设备，实现了全自动颗粒级配、粒形分析与断层扫描技术的颗粒材料三维结构重建；（2）调：自主研发了基于卷积神经网络的材料性能数据库及材料云优化平台，形成了高韧性工程混凝土设计理念；（3）预：提出了以自然区划高韧性为导向的混凝土早期性能测试技术，突破了材料工程性能耐久性早期预测难精准的瓶颈。基于此，路用集料集配检测时间缩短了12倍，生产配合比调试次数减少了1\u002F3，使材料成本降低5-10%。相关成果纳入美国AASHTO标准（TP 129-21，PP 84-18），为长期困扰业界的混凝土道路材料高韧性平衡设计提供了解决方案，在浙江、甘肃、美国15个州等地两千余公里水泥混凝土道\u002F路面材料设计中得到应用。3. 绿色高性能混凝土新材料研发与装配式建造。新基建对陆路交通基础设施的新材料研发、绿色低碳生产及建造效率提出更高的要求，将新材料的研发与设计应用于装配式建造进而实现绿色智能建造已成为大势所趋。（1）中试了轻质内养生材料、透水及固废超疏水改性材料、应变硬化材料、超高性能-高性能混凝土梯度结构、高耐磨抗冲击UHPC道面结构等可实现规模性量产和应用的新材料与结构；（2）将绿色高性能混凝土新材料结合增材制造，实现了装配式混凝土机场道面、工区路面的装配式建造，同时利用BIM与数字孪生技术开展了施工过程优化。绿色新材料在装配式道路中的成功中试及应用，迈出了以绿色、低碳、高效生产和延长全寿命周期为目标的智能建造的重要一步。研究成果已在西部战区某军用机场飞行区战备抢修、咸阳国际机场道面养护与不停航施工及贵州、甘肃公路工程场站修筑了实体工程试验段，正实施结构长期监测与运维决策研究","工学博士\u002F博士后，教授，博士生\u002F留学生导师，省级青年人才，美国爱荷华州立大学本、硕、博学位，美国国家道路工程混凝土科研中心博士后，美国注册见习工程师（爱荷华州），长期从事道路与机场工程、材料科学领域等交叉学科的科学研究和工程实践工作。现任长安大学公路学院机场工程系副主任，银川市交通运输局副局长（挂职），特殊地区公路交通基础设施可持续发展国际合作联合实验室副主任。2014年至2018年就职于美国国家道路工程混凝土科研中心任研究员并从事博士后研究。2017年特聘青海大学-清华大学三江源研究院副研究员，2018年入选陕西省人才项目。近年来，聚焦极端环境绿色高性能混凝土材料低碳、智慧生产与健康服役，从服役条件复杂多变、早期病害频发、服役寿命不足等现实问题出发，通过主持国家自然科学基金面上、地区、民航联合研究基金专题项目、十四五国家重点研发计划专题、教育部博士点基金面上项目等科技攻关项目，重点开展高寒区混凝土道路结构多场多尺度损伤机理、数据驱动高韧性工程混凝土智能优化、绿色高性能混凝土新材料研发与装配式建造等研究。发表学术论文及科研报告60余篇，其中SCI收录论文50余篇，主要发表于行业Top期刊Cement and Concrete Composites, ACI Materials Journal, Construction and Building Materials等；参编美国AASHTO标准2部，主编中国地标及团标6部；获国家教学成果二等奖1项，省科学技术一等奖1项。主讲课程包括：《水泥与水泥混凝土（英文）》、《道路工程材料（英文）》（省级一流本科课程主讲教师）、《工程力学（英文）》、《欧美设计规范释义（双语）》等，《Materials for Road Engineering》道路工程材料AI智慧课程负责人，2020年本科在线教学优秀成果。参与教育部新工科项目、中外合作办学课程大纲设置等，积极探索“互联网+”教学模式、全英文教学改革和思政融合等教学研究。获“服务一带一路、双元培养、文化融入，来华留学交通人才高质量培养改革与实践”国家级教学成果二等奖，美国混凝土协会学生竞赛二等奖优秀指导教师奖等。指导学生参与学科竞赛，获得第八届中国国际“互联网+”大学生创新创业大赛国家级铜奖，第九届中国国际“互联网+”大学生创新创业大赛省级铜奖，“中建西部建设杯”全国混凝土设计大赛三等奖等。课题组主页：https:\u002F\u002Fwxhktz.chd.edu.cn\u002Findex.htm \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     国际路面混凝土协会会员(International Society for Concrete Pavement)美国国家混凝土协会会员（National Concrete Consortium）交通运输研究委员会AFN40青年委员（Transportation Research Board）美国土木工程协会会员（American Society of Civil Engineer）美国混凝土协会会员（American Concrete Institute）特邀主编：1.Special Issue on High Performance Building Materials and Applications in Civil Engineering, Journal of Engineering;2.Fiber Reinforced Concrete with Applicaiton in Civil Engineering, Advances in Civil Engineering3.Advanced Cementitious Building Materials with Applications in Civil Engineering, Advances in Civil Engineering行业审稿：ACI Materials Journal,Journal of ASCE Materials, Cement and Concrete Composites, Material and Structures, Journal of Transportation Engineering, Construction and Building Materials, Advances in Civil Engineering Materials, Sustainable Cement Based Materials, International Journal of Concrete Structures and Materials","陕西",false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fglxy\u002Fwxh100\u002Flist.htm",true,[],[],{"id":402,"name":403,"orgName":404,"school":389,"gender":390,"title":405,"degree":406,"honor":10,"position":10,"researchDirection":407,"intro":408,"province":395,"completeness":295,"avatarAuthorized":396,"sourceUrl":409,"nameValid":398,"tags":410,"tagNames":411},"1572d5b6-6007-b77e-75cb-4b3fa0c0aaa8","柯吉","长安大学能源与电气工程学院","副教授","工学博士","研究方向研究核心：为电力与综合能源系统构建“感知-预测-优化-调控”技术闭环，让能源利用更高效、更安全、更低碳。具体研究方向如下：方向一：新型电力系统源-网-荷协同调控大规模分布式电源、充电负荷等新型主体并网，形成“配电网-新型主体”共生系统，源荷双侧不确定性显著增强，电网安全运行面临严峻挑战。本方向围绕这一核心问题，从预测、调控、验证、安全四个维度开展系统研究：预测--新能源出力与负荷精准预测：基于数值天气预报与机器学习的风电\u002F光伏超短期、短期、中长期功率预测，以及考虑气象因素、社会因素的多尺度负荷预测。预测信息向下游调控模块传递，为其提供决策依据。在极端场景下，预测模块进一步融合气象灾害预警信息（台风路径、冰灾覆冰趋势、洪涝水位等），为韧性防御提供灾害态势感知基础。调控--光储直柔与源-网-荷-储协调优化：面向建筑\u002F园区场景的“光伏+储能+直流配电+柔性用能”系统架构设计与运行控制，包括直流母线电压控制、储能充放电管理、柔性负荷调节策略。在极端场景下，调控模块向上延伸至“规划-防御-恢复”全环节-灾前：储能选址定容与预防性布防，将储能预先部署至关键节点；灾中：基于实时灾害态势，动态划分孤岛并实施应急支撑；灾后：制定关键负荷恢复路径与网络重构方案。三个环节形成“灾前布防-灾中支撑-灾后恢复”的时序调控链条。验证--基于RT-LAB的硬件在环仿真验证：基于RT-LAB实时仿真平台，开展新能源并网控制策略、微电网运行策略、配电网保护与控制算法的硬件在环（HIL）验证。验证结果反馈至调控模块，形成“设计-验证-迭代”的闭环开发流程。平台同时支撑极端灾害场景下储能韧性策略的硬件在环测试，模拟冰灾、洪涝、台风等典型灾害工况，验证调控策略在不同灾害强度与故障时序下的有效性与可靠性。安全--配电网安全风险评估与管控：多类型主体接入后的电压越限、设备过载风险评估与预警管控；用户侧与配网侧储能优化配置及充放电策略优化。安全评估结论可追溯至预测与调控环节，形成风险闭环管控。在极端场景下，安全评估进一步延伸为韧性评估-以负荷保全率、恢复时间、储能支撑时长等为韧性评价指标，量化不同“规划-防御-恢复”策略组合下的系统韧性水平，识别薄弱环节并提出改进建议。       四个维度共同形成“预测-调控-验证-安全”的完整技术链条：预测为调控提供常规与灾害两类数据基础；调控涵盖“常规运行+灾前-灾中-灾后”全时序应对；经实时仿真验证后投入应用；安全评估对全过程进行风险兜底，并升级为韧性量化评价。最终构建“常规运行安全管控-极端事件韧性增强”的双重保障体系。方向二：交通-能源融合系统建模与优化高速公路、轨道交通等基础设施正从“单纯用能”向“自发自用、余电上网”转变，形成交通与能源深度耦合的新型系统。然而，交通流的随机性与新能源出力的波动性相互叠加，导致系统运行状态复杂多变，亟需有效的感知、控制与优化手段。本方向围绕交通-能源耦合系统，从感知、建模、控制、优化四个维度开展研究：感知--交通-能源耦合态势感知：融合交通流数据（车流量、通行速度、拥堵指数）与能源系统数据（光伏出力、储能SOC、充电负荷），构建交通-能源耦合系统的运行态势感知方法，实现对系统状态的实时监测与趋势研判。感知信息向下游建模模块传递，提供数据基础。建模--高速公路自洽能源系统架构与建模：面向高速公路沿线“风\u002F光\u002F储\u002F充”一体化场景，建立涵盖能源生产、转换、存储、消费全环节的系统架构与机理模型。模型为下游控制策略的设计与优化提供被控对象描述。控制--边缘控制与能量管理：基于边缘计算架构，部署本地能量管理策略，实现充电设施有序控制、储能充放电实时决策、路侧设备能效优化。控制策略的有效性通过感知数据反馈验证，形成“感知-控制”实时闭环。优化--多目标协同优化调度：以经济性（运行成本最低）、低碳性（碳排放最小）、可靠性（供电保障率）为综合优化目标，开展日前-日内多时间尺度优化调度。优化结果指导控制策略的参数整定，实现全局层面的运行效益最大化。四个维度形成“感知-建模-控制-优化”的完整技术链条：感知获取系统状态，建模提供系统描述，控制实现实时调节，优化追求全局最优，共同支撑交通-能源融合系统的自洽高效运行。方向三：综合能源系统多能协同管理与优化园区、建筑集群、工业用户等场景中，电、热、冷、气等多种能源形式深度耦合，传统“竖井式”的分产分供模式导致能源综合利用效率偏低、碳排放居高不下。本方向将多种能源形式视为一个整体，从建模、感知、管理、优化四个维度开展研究：建模--多能耦合机理建模：基于Modelica语言建立电-热-冷-气多能耦合机理模型，刻画能源在生产、转换、存储、消费各环节的动态行为与耦合关系。模型为下游感知与管理提供系统描述基础。感知--多能流实时监测与能效评估：基于EnergyPlus开展建筑能耗精细模拟与热舒适性分析，结合多能流实时监测数据，构建能效评估与碳流追踪方法，量化各环节的能耗与碳排放贡献。感知信息向上游模型校准与下游管理决策提供数据支撑。管理--综合能源系统运行管理：基于MATLAB\u002FSimulink开发多能互补运行管理策略，协调热电联产、热泵、储能、空调等多类设备的出力与投切，保障多能系统的供需实时平衡。管理策略的执行效果通过感知模块实时反馈，形成“感知-管理”闭环。优化--多目标协同优化调度：以经济性、低碳性、能源综合利用效率为优化目标，考虑新能源出力与多能负荷的双重不确定性，开展日前-日内多时间尺度协同优化调度，实现能源的梯级利用与系统整体效益最大化。优化结果反馈至管理策略，实现持续迭代改进。     四个维度形成“建模-感知-管理-优化”的完整技术链条：建模为感知提供系统框架，感知为管理提供决策依据，管理为优化提供执行载体，优化反哺建模与管理持续改进，共同支撑综合能源系统的高效、低碳、稳健运行。课题组依托平台课题组具备良好的科研实验条件，依托学校大型仪器平台向研究生开放使用：（1）高速公路交通能源风光模拟仿真系统http:\u002F\u002Fdygx.chd.edu.cn\u002Fcf\u002Fmain\u002F!equipments\u002Fequipment\u002Findex.211由光伏模拟单元、风电模拟单元、储能模拟单元和负荷模拟单元构成，可模拟高速公路沿线“源-网-荷-储”一体化运行场景，支持能量管理策略的硬件在环验证。主要技术指标：光伏模拟器功率30kW，风电模拟器功率22kW，储能电池模拟器双向功率10kW，实时仿真步长≤50μs。（2）新能源电力实时仿真系统（RT-LAB）http:\u002F\u002Fdygx.chd.edu.cn\u002Fcf\u002Fmain\u002F!equipments\u002Fequipment\u002Findex.196基于CPU+FPGA异构架构，支持电力电子变换器、电机驱动等高频电力系统的亚微秒级实时仿真。主要技术指标：FPGA仿真步长≤1μs，支持不少于32个开关器件的高精度建模，支持与外部控制器进行模拟量\u002F数字量I\u002FO闭环交互。可用于新能源并网逆变器控制、微电网运行策略、配电网保护算法等硬件在环测试验证。（3）新能源多级物理系统建模仿真与仿真工具链开发环境http:\u002F\u002Fdygx.chd.edu.cn\u002Fcf\u002Fmain\u002F!equipments\u002Fequipment\u002Findex.319     基于DYMOLA（Modelica语言）、EnergyPlus和MATLAB\u002FSimulink三大核心软件，构建覆盖“设备-子系统-系统级”的多层级综合能源仿真工具链，支撑园区、建筑、交通等场景的综合能源系统建模与仿真验证。其中：DYMOLA支持电-热-冷-气多能耦合机理建模与动态仿真，EnergyPlus专注于建筑能耗精细模拟与热舒适性分析，MATLAB\u002FSimulink承担控制算法开发与模型在环\u002F软件在环验证。三大工具协同联动，形成从物理系统建模、能效分析到控制策略部署的全流程仿真验证能力，为综合能源系统规划、运行优化与碳排核算提供完整的数字化支撑平台。我们正在寻找这样的你——诚实守信，有担当，不怕吃苦；数学和外语基础扎实，专业方向为电气、自动化、建筑电气与智能化、通信或数学等相关领域；同时，你乐于融入集体，善于与伙伴协同作战。如果你正是这样的人，我们诚挚邀请你加入我们的研究团队！这里不仅有充足的资源和良好的氛围，更有一群志同道合的伙伴，陪你一起成长、一起突破。我们是一个开放、包容的科研团队，坚信“因材施教”的力量。在这里，你的研究兴趣会被充分尊重，你的创新想法会得到全力支持。课题组不仅拥有充足的经费、优越的办公条件和多元化的奖励机制，更拥有轻松融洽的协作氛围。作为导师，我将全程亲力亲为，陪伴大家成长。我坚持“四个一”的培养承诺--每位同学在学期间，均有机会：申请一项国家发明专利；发表一篇学术论文；参加一次国际会议（费用由课题组全额承担）；完整负责一项横\u002F纵向科研项目。这不仅是学术训练，更是为未来的工作或深造积蓄底气。我们希望每一位成员都能在这里找到方向，收获实实在在的成长","柯吉，男，安徽安庆人，副教授，能电学院博士生\u002F国际硕士生\u002F硕士生导师。在长安大学电气工程及其自动化专业获得学士学位，西北工业大学控制科学与工程学科获得硕士和博士学位；于2010年至2012年获批CSC资助在比利时根特大学(Ghent University)进行博士联合培养。主要从事电气工程相关理论以及其在交通、建筑、能源及其融合等相关领域的应用研究。主持和参与包括国家重点研发计划、国家自然基金、陕西省重点研发计划等省部级科研项目40余项。以第一\u002F通讯作者在国内外高质量期刊发表论文40余篇，授权发明专利10余项，参与编写专著4部。主编和参编行业与学会标准2项，是交通能源融合白皮书的主要编制者。先后为本科生及硕士研究生主讲课程10余门，现指导国际硕士士生5人，硕士研究生15人。课题组与加拿大、法国和俄罗斯等诸多国际一流高校、企业保持密切合作关系，能够为研究生提供充裕的研究项目、高水平的研究平台及生活保障，能为每位研究生提供项目保障，鼓励并全额资助学生每年参加国内外学术交流活动（每年至少1次）、相关技能培训活动（每年多次）以及国际（欧美著名院校）联合培养、提供能源相关企业实习或项目实践机会。课题组毕业生就业去向主要包括：国家电网、研究所和能源类高新企业, 如中行工业研究所、中电研究所、中国汇川、比亚迪、远景能源、和利时、艾默生、大唐电信、中国西电、西安热工院等；事业单位如中国银行、浦发银行等；以及出国留学如法国里昂大学、俄罗斯莫斯科动力学院等。课题组每年招收研究生5~7名，博士招生学科为：交通运输工程（新能源与动力工程0823Z6）硕士招生学科：电气工程一级学科（电气工程）能源动力一级学科（电气工程方向）邮件联系请附个人简历（内含个人信息、教育背景、参与项目或竞赛获奖情况等信息）。电子邮箱：keji@chd.edu.cn \n                                \n                                \n                                    \n                                         社会职务","http:\u002F\u002Fjs.chd.edu.cn\u002Fnyydqgcxy\u002Fkj\u002Flist.htm",[],[],{"id":413,"name":414,"orgName":415,"school":389,"gender":390,"title":416,"degree":406,"honor":10,"position":10,"researchDirection":417,"intro":418,"province":395,"completeness":95,"avatarAuthorized":396,"sourceUrl":419,"nameValid":398,"tags":420,"tagNames":421},"7694407a-a422-3ab5-b16b-a0e05863f78a","左琛","长安大学运输工程学院","讲师","1. 基于视觉基础模型的公路交通设施无人机巡检与智能图像识别方法研究伴随着飞控能力和计算平台的发展，无人机已经成为进行公路交通基础设施巡检的新兴工具。然而，无人机图像中扰动因素多、场景变化大，给后继的图像分析与智能识别方法带来巨大挑战。本课题组针对路面病害、标线标识、沿线设施、道路边坡等多种细分养护场景，以海量无人机航拍图像为数据基础，运用视觉基础模型、图像分割大模型、多模态数据处理等人工智能和计算机视觉前沿技术，探索各类异常结构的视觉响应特征，求解行业规范文本和巡检图像之间的相互对应关系，建立兼具计算效率和识别精度的智能图像分析方法，显著提高深度神经网络的训练速度、标注效率和泛化能力，为公路交通基础设施的状态检测和性能评估提供重要依据。1.1 基于基础模型的路面病害识别与搜索方法及时准确地发现裂缝、坑槽、修补等路面病害，是公路预防性养护和智慧化养护的重要内容。近年来，以卷积神经网络为核心的深度学习技术已经成为了分析巡检图像的主流方法。然而，当前技术多基于有监督学习框架，难以有效应对道路病害多样的形态特征，识别方法的泛化能力有限。本课题组基于无人机高分辨率图像，以视觉基础模型为核心技术手段，探索各类路面异常样例的高阶视觉特征，建立高性能路面病害识别方法。具体内容包括：(1)使用DINOv2、Web-SSL等视觉基础模型，充分利用自监督学习、Vision Transformer和海量无标注数据集，提取图像视觉特征；(2)运用距离度量、流形学习和无监督聚类技术，发现道路路面区域，移除不相关图像块；(3)使用XGBoost、TabPFN等有监督分类器，建立主动学习框架，促使计算机理解视觉特征与病害样本之间的对应关系，预测病害的发生位置、损坏类型和损坏程度；(4)基于典型病害样例库，运行近似近邻搜索方法，求解路面病害的类内多样性和场景变化性，实现异常结构的精细搜索与快速排查，探索道路病害的时空变化规律。1.2 图像分割大模型支持的交通标线缺损定位方法保障交通标线的可见性和清晰度，是道路设施养护的重要环节。基于深度神经网络的目标检测和语义分割方法是目前进行破损标线识别的主流技术手段。然而，神经网络的性能高度依赖人工标注的质量和规模，如何有效建立高质量数据集，提高神经网络的训练效率，减少人工标注工作量，成为了重要且紧迫的科研话题。本课题组引入图像分割大模型技术，依据标线颜色等先验信息，引导图像大模型理解交通设施养护场景，建立交通标线缺损快速检测和准确评估的技术方法。具体内容包括：(1)基于图像分割大模型SAM,启动全局分析模式，自动划分无人机巡检图像，依据颜色信息确定道路路面区域，划定研究范围；(2)使用DINOv2基础模型，运用Hausdorff距离和余弦距离，量化无人机图像序列的相似性，获得代表性图像样例；(3)基于代表性图像，训练YOLO和DETR目标检查网络，准确定位减速标线、车道线、导向箭头和导流线破损；(4)启动图像分割大模型SAM，分析交通标线样例，预测标线初始状态。基于阈值分割方法，提取标线的现存可见区域。计算标线的缺失区域比例，定量评估标线健康状态。1.3 多模态学习赋能的交通沿线设施快速识别方法交通标志、交安设施、交通监控等沿线设施是交通系统的基本组成，定位和维护沿线设施是进行基础设施养护的基本要素。基于YOLO等目标检测网络，计算机能够实现无人机航拍图像的高效处理。然而，当前的有监督学习方法高度依赖人工标注数据集，能以有效应对光照条件、巡检场景和飞控参数的显著变化，识别方法的泛化能力有限。本课题组引入多模态分析技术，探索交通标志图像和行业规范文本之间的映射关系，在共享特征空间内实现多模态样例的准确对齐和配准，提高交通沿线设施的快速定位和精细分类。具体内容如下：(1)启动Grounding DINO、YOLO-World、YOLOE等开放词汇目标检测程序，合理设定关键字提示词，建立沿线设施样例数据集；(2)运用知识蒸馏技术，建立教师-学生结构，去除任务无关神经元，获得小尺寸高效率目标检测网络；(3)使用视觉基础模型分析无人机图像，使用文本编码器分析行业规范文本，运用线性映射层实现共享特征空间内的样本对齐，实现交通沿线设施的精细化分类。1.4 光学、红外与三维点云联合驱动的道路边坡隐患识别方法快速发现边坡落石、岩体开裂、植被侵入等异常案例，是维护道路边坡安全的重要因素。在无人机智能巡检框架内，如何有效整合光学图像、红外图像、三维点云等多模态数据采集手段，提高边坡异常结构的识别质量，成为了重要的研究话题。本课题组针对山区公路和沿海公路场景，有机结合设备、数据、技术和交通养护部门需求，以海量无人机图像为数据基础，运用深度神经网络、视觉基础模型、多模态数据处理等手段，建立高性能道路边坡智能巡检方法。具体内容如下：(1)启动EfficientNet、Vision Transformer、ConvNeXt、Mamba等多种前沿深度神经网络，探索各类神经网络的性能边界，实现边坡落石和岩体开裂的快速定位和分类；(2)针对水库边坡场景中的少样本学习难题，使用DINOv2视觉基础模型分析RGB、红外和点云图像，编程实现特征级融合和决策级融合框架，实现边坡落石和植被侵入的快速识别；(3)基于海量无标注图像，使用自监督学习和对比学习技术探索光学-红外-点云图像之间的匹配关系，促使计算机自主发掘边坡结构之间的内在关系和发展趋势，实现多模态数据对齐，获得与巡检场景相匹配的高质量图像编码器。2. 基于开放词汇目标检测和视觉基础模型的危化品车辆识别方法从海量交通监控视频中快速发现危化品车辆，是智慧交通系统的关键环节，是提高通行效率、保障交通安全、促进绿色发展的基本前提。近年来，深度学习和计算机视觉技术成为了实现交通感知的主流方法。然而，多样的视频采集设备、繁杂的交通通行场景和稀缺的危化品车辆样例，给深度神经网络的推广应用带来了巨大挑战。为了提高泛化能力并简化训练流程，本课题组将开放词汇目标检测和视觉基础模型引入到交通视频分析领域，充分利用通用视觉特征，建立高性能危化品车辆识别方法。具体内容包括：(1)启动YOLO-World目标检测程序，合理设置关键字提示词，快速提取交通监控视频中的车辆样例。为了消除冗余信息，使用ByteTrack和SAM2技术，完成车辆的轨迹跟踪；(2)使用DINOv2视觉基础模型，提取车辆样例的视觉特征，使用UMAP和谱聚类技术理解车辆样例之间的相似性关系；(3)使用k近邻搜索去除YOLO-World的噪声样例，使用XGBoost分类器预测车辆类型，有效应对夜间、降雨等复杂场景，建立具有高泛化能力和强鲁棒性的危化品车辆识别方法。3. 孔隙结构与物理属性联合约束的非均质数字岩心建模方法3.1 基于通用图像特征的非均质岩心表征方法3.2 基于机器学习技术的三维数字岩心快速建模方法3.3 贝叶斯证据学习驱动的地质模型空间不确定性量化方法4. 基于视觉基础模型的城市更新区域与建成环境识别方法对于具有复杂建成环境的老城区，采用人工智能技术可以提高更新规划的科学性，然而现有的目标识别方法高度依赖人工标注数据集，面临更新实践不足、分析精度受限和训练成本过高的局限。将视觉基础模型引入城市更新领域，探讨视觉基础模型支持的老城区更新规划方法：(1)通过等间隔采样构建图像块数据集，使用视觉基础模型提取高维视觉特征；(2)启动余弦距离、流形学习、高斯混合模型等机器学习技术，实现图像块数据集的智能分组；(3)对图像块进行空间转译，精准识别重点区域；结合多维要素综合评判，优化智能识别结果，指导后续更新规划实践。以陕西省榆林市清涧县老城区为例，探索该技术方法在城市更新规划实践中的应用，以期为老城区的城市更新提供新的思路","左琛，本科毕业于四川大学电子信息工程专业，博士毕业于西安交通大学信息与通信工程专业，美国斯坦福大学访问学者。现任长安大学运输工程学院讲师，数据与系统工程系副主任，数据与系统工程党支部宣传委员。申请人长期从事机器学习与计算机视觉相关研究工作，目前主持国家自然科学基金青年科学基金项目1项、陕西省自然科学基础研究计划一般项目(青年)1项、陕西省交通运输厅交通运输科研项目1项、山东省交通运输厅先行试验项目1项、中央高校基本科研业务费专项资金资助项目2项。作为技术负责人，参与国家自然科学基金面上项目2项、陕西省科学技术厅重点研发计划项目1项、陕西省交通运输厅重点项目2项、河北省交通厅科技项目1项。以第一作者和通信作者身份，累计发表学术论文10余篇，包括《IEEE Transaction on Geoscience and Remote Sensing》《Water Resources Research》《Remote Sensing》等，参加国内外高水平学术会议并做专题报告6次，已授权发明专利2项。 \n                                \n                                \n                                    \n                                         社会职务","http:\u002F\u002Fjs.chd.edu.cn\u002Fysgcxy\u002Fzc5\u002Flist.htm",[],[],{"id":423,"name":424,"orgName":388,"school":389,"gender":390,"title":391,"degree":392,"honor":10,"position":10,"researchDirection":425,"intro":426,"province":395,"completeness":427,"avatarAuthorized":396,"sourceUrl":428,"nameValid":398,"tags":429,"tagNames":430},"000a9610-f9b2-a76e-a3fd-0dfbf055acd9","刘玉","【研究方向1】道路工程数字化技术与应用。1、  研究目的与意义：面向道路工程需求，通过数据解析，对数据进行深加工，做“数据产品”。以“数据产品”为灵魂，支撑工程规划、决策、检测、设计、施工与评价。2、  研究内容与预期效益：（1）    道路工程智能设计：建立系列“数据模型”，通过数据存储、分流与关联，实现智能设计，能够提升设计效率、精度及数字化水平，延长道路使用寿命。（2）    道路工程智能施工：利用现代传感技术实现数据采集，利用“数字孪生模型”实现数据加工与关联，以达到智能施工目标，能够提升施工控制水平，节约工程建设成本。（3）    道路工程智能检测：为检测设备提供“数字孪生模块”，建立数据采集、解析、关联体系，实现“检测数据产品化”。（4）    道路养护科学决策与规划：开发路况评定、科学决策与养护规划的数据解析模型，为道路养护管理提供数字化模块，为养护管理与规划提供“系列数据产品”。 【研究方向2】路用冷粘轻集料（R-CLA）及应用技术。1、研究目的与意义：通过在细粒土中掺加固化剂和水，开发路用冷粘轻集料（R-CLA），替代传统粗砂石料，用于土木工程建设中，为砂石料短缺区域、特殊土地区提供工程解决方案。图1 冷粘轻集料（R-CLA）及路用混合料开发2、研究内容：通过项目研究，拟开发4类产品，描述如下。【产品1：路用冷粘轻集料（R-CLA）】基于粉体造粒原理开发的一款新型道路工程建筑材料，具有但有别于传统碎石、砾石等粗集料的特征。它是椭圆颗粒材料，形如珍珠，粒径在4~20mm范围内（一般为单粒径，可以掺配），内部有微孔隙（约20%），透水性好，具有一定抗压强度（单颗粒抗压强度能够达到2.0MPa左右），可作为粗集料用在道路工程混合料中，是一种环保经济型道路建筑材料。【产品2：轻集料改良土（LA-Soil）】以R-CLA为粗集料，按一定比例掺配到原土中，压实成型，形成的一种新型路基建筑材料，即：“轻集料改良土（LA-Soil）。图2 LA-Soil试样切开断面（表明R-CLA均匀分布）【产品3：轻集料水稳（LA-HBM）】以R-CLA为粗集料，按一定比例与砂、土、无机结合料及一定量的水掺配、拌合、碾压成型，形成的一种新型路面基层建筑材料，即：“轻集料水稳（LA-HBM）。【产品4：轻集料水泥混凝土（LA-PCC）】以R-CLA为粗集料，替代传统混凝土中的粗集料，浇筑而成的新型建筑材料，即：轻集料水泥混凝土，后文简称为LA-PCC。关于LA-PCC已经有大量的研究，可以借鉴。课题组还没有开始试验研究。 【研究方向3】道路工程的冲击动态检测与大中修延寿技术。1、研究目的与意义：利用加速度传感技术，开发多功能检测设备，可检测一定影响深度范围内的弯沉、动态刚度、模量及脱空、内部损伤等。该技术可用于旧路路况评定，可为路面结构设计提供基本参数，可用于新建、养护、改扩建等项目。2、研究内容与预期效益：（1）       基于冲击加速的多功能测试仪器研发。目前，已经能够实现冲击加速度、动态弯沉、动态刚度等。（2）       面向工程检测，开发基于物理学规律的检测方法。（3）       面向改扩建、养护设计，提出新设计参数，并由此形成新型智能设计。（4）       面向工程施工，安装加速度传感器，实现施工过程的智能控制","刘玉，博士毕业于美国密歇根理工大学，长安大学教授、博（硕）士生导师、国际教育中心主任、世界交通运输大会（WTC）技术委员会主席；主持国家自然科学基金项目3项，省部级项目3项，参与国家级、省部级项目10余项，发表科技论文100余篇，国家专利20余项；担任本科生双语教学课程2门，研究生课程1门，出版全英文教材1部，合编专著2部；作为主要参与人，获得陕西省教学成果一等奖1项，长安大学教学成果特等奖1项。请大家关注微信公众号HighwayPlus （1)  公众号上会更新一些与研究方向相关的内容;  (2) 《路基路面工程》和《公路材料细观结构与数值仿真》知识点串讲 \n                                \n                                \n                                    \n                                         社会职务",81,"http:\u002F\u002Fjs.chd.edu.cn\u002Fglxy\u002Fly_7601\u002Flist.htm",[],[],{"id":432,"name":433,"orgName":434,"school":435,"gender":390,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":436,"intro":437,"province":438,"completeness":439,"avatarAuthorized":396,"sourceUrl":440,"nameValid":398,"tags":441,"tagNames":463},"10197845-9bac-478b-86f2-6be5a2eb8ad0","王成","电子科技大学电子科学与工程学院（示范性微电子学院）","电子科技大学","以CMOS混合信号集成电路为基础，从事与物理结合的集成电路前沿交叉领域研究：；以CMOS混合信号集成电路为基础，从事与物理结合的集成电路前沿交叉领域研究：；方向一：面向量子测控的低温CMOS集成电路（Cryo-CMOS） Cryo-CMOS集成电路和系统SoC工作在1~4K温区，解决量子计算中大规模物理量子比特的可扩展性问题，按照Surface Code架构实现物理量子比特的误差纠正，以实现高保真度的逻辑量子门。Cryo-CMOS集成电路SoC包含片上脉冲产生(Pulse generator)、门脉冲(Gate pulsing)和反射测量(Reflectometry)等单元，在此基础上实现二维物理量子比特阵列的测量和控制。；方向一：面向量子测控的低温CMOS集成电路（Cryo-CMOS） Cryo-CMOS集成电路和系统SoC工作在1~4K温区，解决量子计算中大规模物理量子比特的可扩展性问题，按照Surface Code架构实现物理量子比特的误差纠正，以实现高保真度的逻辑量子门。Cryo-CMOS集成电路SoC包含片上脉冲产生(Pulse generator)、门脉冲(Gate pulsing)和反射测量(Reflectometry)等单元，在此基础上实现二维物理量子比特阵列的测量和控制。；方向二：芯片级分子时钟（Chip-Scale Molecular Clock, CSMC）及具有绝对分辨力的旋转波谱气体检测 以极性气体分子在毫米波\u002F太赫兹频段的旋转波谱为频率参考，通过硅基CMOS片上集成波谱系统SoC，实现高稳定性、低成本、快速启动的便携式时间基准。该技术具备取代传统小型化原子时钟和高端恒温晶振的潜力，在5G\u002F6G无线接入网络时钟同步和微型定位导航授时（μPNT）设备中具有广阔的应用前景。 Nature Electronics: www.nature.com\u002Farticles\u002Fs41928-018-0102-4；方向二：芯片级分子时钟（Chip-Scale Molecular Clock, CSMC）及具有绝对分辨力的旋转波谱气体检测 以极性气体分子在毫米波\u002F太赫兹频段的旋转波谱为频率参考，通过硅基CMOS片上集成波谱系统SoC，实现高稳定性、低成本、快速启动的便携式时间基准。该技术具备取代传统小型化原子时钟和高端恒温晶振的潜力，在5G\u002F6G无线接入网络时钟同步和微型定位导航授时（μPNT）设备中具有广阔的应用前景。 Nature Electronics: www.nature.com\u002Farticles\u002Fs41928-018-0102-4；方向三：大规模毫米波\u002F太赫兹相控阵列 (Large-Scale Millimeter-wave \u002F Terahertz Phased-Array) 大规模毫米波\u002F太赫兹相控阵列旨在克服高频无线链路传输中的核心问题：路径损耗，以充分利用所在频段的宽带频谱资源，实现高速通信和感知。当前的毫米波\u002F太赫兹相控阵列受限于日益缩小的单阵元片上面积，难以做到半波长满阵布局。本研究组旨在通过优异的电磁融合设计，实现毫米波\u002F太赫兹相控阵的规模化扩展。；方向三：大规模毫米波\u002F太赫兹相控阵列 (Large-Scale Millimeter-wave \u002F Terahertz Phased-Array) 大规模毫米波\u002F太赫兹相控阵列旨在克服高频无线链路传输中的核心问题：路径损耗，以充分利用所在频段的宽带频谱资源，实现高速通信和感知。当前的毫米波\u002F太赫兹相控阵列受限于日益缩小的单阵元片上面积，难以做到半波长满阵布局。本研究组旨在通过优异的电磁融合设计，实现毫米波\u002F太赫兹相控阵的规模化扩展。","【产业方向】电子信息","四川",77,"http:\u002F\u002Ffaculty.uestc.edu.cn\u002Fwangcheng\u002Fzh_CN\u002Findex.htm",[442,445,448,451,454,457,460],{"code":443,"name":444},"GB-73","研究和试验发展",{"code":446,"name":447},"GB-74","专业技术服务业",{"code":449,"name":450},"SEI-01","新一代信息技术产业",{"code":452,"name":453},"CH-01","量子科技",{"code":455,"name":456},"CH-06","6G",{"code":458,"name":459},"CH-08","集成电路",{"code":461,"name":462},"FU-02","未来信息",[444,447,450,453,456,459,462],{"id":465,"name":466,"orgName":467,"school":467,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":468,"intro":469,"province":470,"completeness":439,"avatarAuthorized":396,"sourceUrl":471,"nameValid":398,"tags":472,"tagNames":481},"eefea82a-ab94-4089-a0a7-f53c504aa25f","赵富稳","中南大学","[1] 低成本半导体材料的设计与研发","【产业方向】新材料","湖南","http:\u002F\u002Ffaculty.csu.edu.cn\u002Fzhaofuwen\u002Fzh_CN\u002Findex.htm",[473,474,477,478],{"code":443,"name":444},{"code":475,"name":476},"SEI-03","新材料产业",{"code":458,"name":459},{"code":479,"name":480},"CH-13","新材料",[444,476,459,480],{"id":483,"name":484,"orgName":467,"school":467,"gender":10,"title":405,"degree":10,"honor":10,"position":10,"researchDirection":485,"intro":469,"province":470,"completeness":141,"avatarAuthorized":396,"sourceUrl":486,"nameValid":398,"tags":487,"tagNames":500},"b14ad702-3c2c-4b8e-b877-96adf8973ed4","曹鑫鑫","能源材料化学 主要研究内容： [1] 开发高比能正极材料（高电压；高容量；多电子反应） [2] 发展功能电解液（适配于高压正极；硬碳负极；耐高压钠离子电池磷酸盐正极材料研究，主持 [4] 国家自然科学基金重点项目，低成本；高比能","http:\u002F\u002Ffaculty.csu.edu.cn\u002FCaoXinxin\u002Fzh_CN\u002Findex.htm",[488,491,494,495,496,497],{"code":489,"name":490},"GB-38","电气机械和器材制造业",{"code":492,"name":493},"GB-67","资本市场服务",{"code":443,"name":444},{"code":475,"name":476},{"code":479,"name":480},{"code":498,"name":499},"FU-11","新型储能",[490,493,444,476,480,499],{"id":502,"name":503,"orgName":504,"school":505,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":506,"intro":507,"province":395,"completeness":141,"avatarAuthorized":396,"sourceUrl":508,"nameValid":398,"tags":509,"tagNames":534},"eccdf952-a1bd-46e1-9d5b-f7af28be6980","李祥明","西安交通大学机械工程学院","西安交通大学","【纳米压印光刻工艺与装备 】纳米压印光刻是一种模板复制式的光刻技术，与投影式光刻相比不受光学衍射限制，具有5nm以下的高分辨率，以及低成本、高效率的优势，被国际器件与系统路线图列为下一代光刻技术；国家级人才项目，纳米XXX技术，主持；国家优青项目，微纳尺度流体表界面特性调控与高性能器件制造，2024.1 - 2026.12，主持；国家级项目，芯片先进制程三维亚纳米结构的构筑新原理与新方法，2024.01~2026.12，主持；国家级项目，高附着XXX技术, 2022.10 - 2025.9，主持；“制造基础技术与关键部件”国家重点研发专项青年科学家项目，基于二维材料的柔性应变传感器阵列，2021.11 - 2024. 10，主持；陕西省科技厅重点项目，高性能石墨烯超级电容器的卷对卷制造技术，2021.01~2022.12，主持；企业横向，抗冲击xxxx技术，2020.8 - 2023.7，主持；兵器工业集团军工横向，高******研究，2020.08~2023.08，主持；国防科技项目，智能轴承运行状态的多物理量集成监测方法，2020.11~2021.11，主持；国家自然科学基金面上项目，超级电容器直立石墨烯电极的模板锚定组装工艺与电解质填充方法研究，2020.01-2023.12，主持，结项优秀；陕煤联合基金，高性能石墨烯超级电容器的卷对卷制造技术，2020.01-2021.12，主持；青年人才托举工程（2017），主持；装备发展部预研项目，面********技术，2018.11~2020.12，主持；国家自然科学基金青年项目，柔性超级电容器石墨烯图形化电极的模板热场诱导成形基础研究，2016.01-2018.12，主持","【产业方向】高端装备","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fxiangmingli\u002Fzh_CN\u002Findex.htm",[510,513,516,517,518,521,522,525,528,531],{"code":511,"name":512},"GB-34","通用设备制造业",{"code":514,"name":515},"GB-40","仪器仪表制造业",{"code":492,"name":493},{"code":443,"name":444},{"code":519,"name":520},"SEI-02","高端装备制造产业",{"code":458,"name":459},{"code":523,"name":524},"CH-20","高端装备",{"code":526,"name":527},"CH-28","交通",{"code":529,"name":530},"CH-30","制造",{"code":532,"name":533},"FU-03","未来材料",[512,515,493,444,520,459,524,527,530,533],{"id":536,"name":537,"orgName":538,"school":539,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":540,"intro":437,"province":10,"completeness":141,"avatarAuthorized":396,"sourceUrl":541,"nameValid":398,"tags":542,"tagNames":547},"6ffef256-f161-41a7-8726-bbde22985b92","袁广达","商学院（科技商学院）","南京信息工程大学","环境财务会计；环境管理会计；环境审计与政策；生态补偿与损害成本计量；现代会计理论 返回顶部 + 171 袁广达 同专业硕导>> 同专业博导>> 个人信息 教师姓名： 袁广达 电子","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fyuanguangda\u002Fzh_CN\u002Findex.htm",[543,544],{"code":514,"name":515},{"code":545,"name":546},"GB-72","商务服务业",[515,546],{"id":549,"name":550,"orgName":467,"school":467,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":551,"intro":552,"province":470,"completeness":141,"avatarAuthorized":396,"sourceUrl":553,"nameValid":398,"tags":554,"tagNames":582},"90d76e09-8377-494b-95da-284f05321329","刘开宇","[1] 新型储能器件及其相关材料。从事镍氢电池、锂离子电池、超级电容器及其相关材料的研究开发工作。目前，具备产业化能力的项目有：低成本高性能稀土储氢材料；超高功率长寿命镍氢动力电池；锂离子电池；磷酸铁锂制备技术；三元材料及钴酸锂、锰酸锂材料；超级电容器制备关键技术等。","【产业方向】能源环保","http:\u002F\u002Ffaculty.csu.edu.cn\u002Fliukaiyu\u002Fzh_CN\u002Findex.htm",[555,558,559,560,563,566,569,572,575,578,581],{"code":556,"name":557},"GB-09","有色金属矿采选业",{"code":489,"name":490},{"code":443,"name":444},{"code":561,"name":562},"GB-77","生态保护和环境治理业",{"code":564,"name":565},"SEI-05","新能源汽车产业",{"code":567,"name":568},"SEI-06","新能源产业",{"code":570,"name":571},"CH-03","氢能与核聚变能",{"code":573,"name":574},"CH-21","新能源汽车",{"code":576,"name":577},"CH-22","绿色环保",{"code":579,"name":580},"FU-04","未来能源",{"code":498,"name":499},[557,490,444,562,565,568,571,574,577,580,499],{"id":584,"name":585,"orgName":467,"school":467,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":586,"intro":552,"province":470,"completeness":141,"avatarAuthorized":396,"sourceUrl":587,"nameValid":398,"tags":588,"tagNames":597},"c2169e87-e04d-4521-a73e-653e21038b7e","胡久刚","[1] 固废资源高效利用 围绕废催化剂；退役电池等非传统资源，开发高效；低碳；短流程利用新技术。 [2] 新能源材料短流程制备 围绕非传统资源的增值利用，开发高性能；低成本 水系电池；锌离子电池；拉曼等技术构建固\u002F液界面原位研究方法，阐明界面物种及物相微观反应机制","http:\u002F\u002Ffaculty.csu.edu.cn\u002Fhujiugang\u002Fzh_CN\u002Findex.htm",[589,590,591,592,593,596],{"code":489,"name":490},{"code":443,"name":444},{"code":561,"name":562},{"code":567,"name":568},{"code":594,"name":595},"CH-19","新能源",{"code":576,"name":577},[490,444,562,568,595,577],{"id":599,"name":600,"orgName":504,"school":505,"gender":10,"title":405,"degree":10,"honor":10,"position":10,"researchDirection":601,"intro":507,"province":395,"completeness":288,"avatarAuthorized":396,"sourceUrl":602,"nameValid":398,"tags":603,"tagNames":635},"bcdc275e-d27a-4991-8a5c-05c0f3e7a0ee","罗钰","1.微纳制造 \u002F增材制造（3D打印技术）及其高端装备开发；；2.光电子器件与柔性电子传感系统设计（软、硬件结合）及制造 ；；3.基于新型光电、生物传感器的智能算法及人机交互系统开发。；传统 传统喷墨打印或挤出式打印采用外驱动力“推”动挤压墨液，难以满足粘度高于50cps或特征尺寸小于10μm的高精度打印需求。电流体3D打印技术通过电场力“拉”动和控制液滴成型，产生的墨滴尺寸远小于喷嘴内径，打印精度可达亚微米级别,具备按需点喷、近场直写、静电纺丝、静电雾化四种工作模式，可在各类型平面或曲面基材（如金属基材、玻璃、硅片、聚合物膜、陶瓷、纸基等）上实现高分辨率点阵、二维图案、薄膜和任意三维结构的低成本、大面积制造，可打印材料兼容导电墨水、高分子材料、UV固化材料等（1cp-50000cps）。在微电子、锂电池、生物医疗、微纳传感领域有较好应用前景。 团队自主开发的电流体3D打印设备及配套控制软件（包含运动控制、视觉定位、矢量图打印、机器视觉-打印参数闭环控制等功能） 已在传感器制造、芯片封装等领域实现产业化应用。；云端鼻息-可穿戴呼吸监测仪；柔性电路的3D打印；已取得成果： 与宁德时代、深圳海目星、上海金力泰等上市公司开展技术对接 。；已取得成果： 采用激光诱导石墨烯技术制备的可穿戴柔性葡萄糖传感器工作发表在 Advanced Materials Technologies(影响因子 7.8)Electrochimica Acta（影响因子6.9）等期刊。2023年，该方向获批国家自然科学基金面上项目。；F、少层\u002F多层石墨烯薄膜大面积喷印制备 （可应用于场效应晶体管、电磁屏蔽、金属工件或薄膜的防潮防腐等领域。）；已取得成果： 正在承担国家自然科学基金项目全喷墨打印的高灵敏度COVID-19双检测FET传感器，150万元。自主开发了FET便携式测试系统、检测试剂盒及对应的APP程序，目前正在做产业化开发。实现了晶圆级少层石墨烯薄膜的低成本、大规模制备，将具备良好半导体性能石墨烯薄膜的成本降低至现有技术的1\u002F20.","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fyuluo825\u002Fzh_CN\u002Findex.htm",[604,607,610,611,612,615,616,617,620,621,622,623,624,625,626,629,632],{"code":605,"name":606},"GB-28","化学纤维制造业",{"code":608,"name":609},"GB-30","非金属矿物制品业",{"code":489,"name":490},{"code":514,"name":515},{"code":613,"name":614},"GB-65","软件和信息技术服务业",{"code":492,"name":493},{"code":446,"name":447},{"code":618,"name":619},"GB-84","卫生",{"code":449,"name":450},{"code":519,"name":520},{"code":458,"name":459},{"code":523,"name":524},{"code":526,"name":527},{"code":529,"name":530},{"code":627,"name":628},"CH-32","消费电子",{"code":630,"name":631},"CH-33","人工智能",{"code":633,"name":634},"FU-01","未来制造",[606,609,490,515,614,493,447,619,450,520,459,524,527,530,628,631,634],{"id":637,"name":638,"orgName":639,"school":389,"gender":390,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":640,"intro":641,"province":395,"completeness":642,"avatarAuthorized":396,"sourceUrl":643,"nameValid":398,"tags":644,"tagNames":645},"b4f21c91-a715-c1b4-d6f8-23e14cca93d2","王国庆","长安大学工程机械学院","主要研究领域1、工程装备远程本质监控技术研究2、通用可编程自动化控制器（PAC）系统研究3、智能贴片机系统开发4、工程装备职业教育产品开发5、低成本工程机器人系统研究6、工程装备动力学与半物理仿真研究","Hi,Please come to my group website: www.engineerc-robot.com ,if you want to know me more about the field of education of graduate students, please come to my personal blog:http:\u002F\u002Fqmeacon.blog.sohu.comIf you would like to contact me, send email: wang_gq@chd.edu.cn and when I am available, I will reply soon, anyway, you will get my reply.Guoqing Wang \n                                \n                                \n                                    \n                                         社会职务",67,"http:\u002F\u002Fjs.chd.edu.cn\u002Fgcjxxy\u002Fwgq\u002Flist.htm",[],[],{"id":647,"name":648,"orgName":649,"school":505,"gender":10,"title":405,"degree":10,"honor":10,"position":10,"researchDirection":650,"intro":651,"province":395,"completeness":76,"avatarAuthorized":396,"sourceUrl":652,"nameValid":398,"tags":653,"tagNames":677},"667fa3fe-d425-47de-b002-f8ce41e1bad5","谭丹","西安交通大学生命科学与技术学院","基于嗜盐微生物的合成生物学 (Halophile Based-Synthetic Biology)：；从新疆盐湖中分离发现了一株高鲁棒性的嗜盐嗜碱菌 Halomonas TD01，并开发了以海水为介质的无灭菌连续发酵工艺，推动了聚羟基脂肪酸酯（PHA）低成本商业化生产和应用。利用合成生物学手段改造嗜盐菌底盘，高效低成本合成了各类生物材料、生物基化学品、手性天然药物等。；- 新活性天然产物的生物合成及关键酶挖掘与研究 (Biosynthesis of Natural Products )；利用生物信息学从细菌、真菌及植物基因组中挖掘天然存在的新活性药物的生物合成基因簇，通过合成生物学手段构建工程菌并发酵得到了包括新型抗真菌剂在内的多种天然活性药物；同时解析了其生物合成途径并发现了一种高度立体选择性地催化环加成反应的周环酶(Pericyclases)，为合成新型复杂手性药物提供了新思路。；​​​​​​​​​​​ 科研成果： ​​​​​​​；- 致力于利用合成生物学进行嗜盐微生物的底盘构建及应用产品开发，开发了基于嗜盐菌的无灭菌海水发酵工艺，高效生产生物材料PHA和生物基化学品等，大幅度降低了生物发酵成本并推动了生物材料PHA的产业化，以此诞生了两家生物技术公司。；- 主持国家重点研发计划“合成生物学”专项子课题1项，以及其他国家及省部级项目8项。；- 在 JACS , Trends Biotechonol , Metab Eng, Bioresour Technol 等国际期刊发表多篇学术论文。；​​​​​​​- 2018-2021作为指导教师，指导西安交大本科生团队参加iGEM（国际遗传工程机器大赛，合成生物学国际顶级赛事）获得三金一银的成绩。；Welcome to the world of fantastic Synthetic Biology !","【产业方向】生物医药","https:\u002F\u002Fgr.xjtu.edu.cn\u002Ftandan\u002Fzh_CN\u002Findex.htm",[654,657,658,661,664,667,670,673,674],{"code":655,"name":656},"GB-27","医药制造业",{"code":443,"name":444},{"code":659,"name":660},"GB-89","体育",{"code":662,"name":663},"SEI-04","生物产业",{"code":665,"name":666},"CH-02","生物制造",{"code":668,"name":669},"CH-10","生物医药",{"code":671,"name":672},"CH-18","生物技术",{"code":526,"name":527},{"code":675,"name":676},"FU-09","合成生物学",[656,444,660,663,666,669,672,527,676],{"id":679,"name":680,"orgName":681,"school":682,"gender":10,"title":405,"degree":10,"honor":10,"position":10,"researchDirection":683,"intro":10,"province":684,"completeness":152,"avatarAuthorized":396,"sourceUrl":685,"nameValid":398,"tags":686,"tagNames":687},"81f39a83-2599-4d0c-bda7-d2918459791c","石磊","大连理工大学建设管理系","大连理工大学","成本；质量管理工具；BIM平台等）的开发和应用，但在实践中，即使项目使用了较先进的项目管理技术，仍然可能出现成本超支；质量不合格；项目中止等问题。究其原因，根本在于对项目参与人的行为动机缺乏足够的认知和了解","辽宁","http:\u002F\u002Ffaculty.dlut.edu.cn\u002Fshi_lei\u002Fzh_CN\u002Findex.htm",[],[],{"id":689,"name":690,"orgName":539,"school":539,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":691,"intro":10,"province":10,"completeness":152,"avatarAuthorized":396,"sourceUrl":692,"nameValid":398,"tags":693,"tagNames":695},"67eb9f61-dfa9-4294-959e-ef3aeb44c6a0","孙李静","全面预算管理 成本管理 研究方向 [1] 全面预算管理 成本管理 2019 南京信息工程大学；","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fsunlijing\u002Fzh_CN\u002Findex.htm",[694],{"code":443,"name":444},[444],16,1,{"schools":699},297,[701,903,971,1618],{"group":702,"code":702,"name":703,"count":207,"tags":704},"CHAIN","产业链环节",[705,710,714,718,724,730,734,739,744,750,755,762,768,772,775,780,784,790,794,797,801,805,810,815,822,829,834,841,845,850,855,861,863,867,874,880,885,890,896],{"code":452,"name":453,"group":702,"gb4754":10,"parent":10,"aliases":706,"expertCount":709},[707,708],"量子","量子计算",179,{"code":665,"name":666,"group":702,"gb4754":10,"parent":10,"aliases":711,"expertCount":696},[712,713],"合成生物制造","生物基制造",{"code":570,"name":571,"group":702,"gb4754":10,"parent":10,"aliases":715,"expertCount":642},[716,717],"氢能","核聚变",{"code":719,"name":720,"group":702,"gb4754":10,"parent":10,"aliases":721,"expertCount":33},"CH-04","脑机接口",[722,723],"脑机","脑机交互",{"code":725,"name":726,"group":702,"gb4754":10,"parent":10,"aliases":727,"expertCount":729},"CH-05","具身智能",[728],"具身智能机器人",48,{"code":455,"name":456,"group":702,"gb4754":10,"parent":10,"aliases":731,"expertCount":733},[732],"第六代通信",25,{"code":735,"name":580,"group":702,"gb4754":10,"parent":10,"aliases":736,"expertCount":738},"CH-07",[737],"未来能源技术",13,{"code":458,"name":459,"group":702,"gb4754":10,"parent":10,"aliases":740,"expertCount":743},[741,742],"芯片","半导体",666,{"code":745,"name":746,"group":702,"gb4754":10,"parent":10,"aliases":747,"expertCount":749},"CH-09","航空航天",[748],"航空航天制造",706,{"code":668,"name":669,"group":702,"gb4754":10,"parent":10,"aliases":751,"expertCount":754},[752,753],"医药","生物药",1016,{"code":756,"name":757,"group":702,"gb4754":10,"parent":10,"aliases":758,"expertCount":761},"CH-11","低空经济",[759,760],"低空","低空飞行",26,{"code":763,"name":764,"group":702,"gb4754":10,"parent":10,"aliases":765,"expertCount":767},"CH-12","新型显示",[766],"显示面板",5,{"code":479,"name":480,"group":702,"gb4754":10,"parent":10,"aliases":769,"expertCount":771},[770],"先进材料",1263,{"code":773,"name":98,"group":702,"gb4754":10,"parent":10,"aliases":774,"expertCount":697},"CH-14",[98],{"code":776,"name":777,"group":702,"gb4754":10,"parent":10,"aliases":778,"expertCount":20},"CH-15","深海科技",[779],"深海",{"code":781,"name":79,"group":702,"gb4754":10,"parent":10,"aliases":782,"expertCount":56},"CH-16",[79,783],"星座",{"code":785,"name":786,"group":702,"gb4754":10,"parent":10,"aliases":787,"expertCount":789},"CH-17","新一代信息技术",[788],"新一代IT",321,{"code":671,"name":672,"group":702,"gb4754":10,"parent":10,"aliases":791,"expertCount":793},[792],"生物科技",201,{"code":594,"name":595,"group":702,"gb4754":10,"parent":10,"aliases":795,"expertCount":796},[595],581,{"code":523,"name":524,"group":702,"gb4754":10,"parent":10,"aliases":798,"expertCount":800},[799],"高端装备制造",587,{"code":573,"name":574,"group":702,"gb4754":10,"parent":10,"aliases":802,"expertCount":70},[803,804],"电动车","EV",{"code":576,"name":577,"group":702,"gb4754":10,"parent":10,"aliases":806,"expertCount":809},[807,808],"环保","绿色低碳",1146,{"code":811,"name":812,"group":702,"gb4754":10,"parent":10,"aliases":813,"expertCount":146},"CH-23","海洋装备",[814],"海洋工程装备",{"code":816,"name":817,"group":702,"gb4754":10,"parent":10,"aliases":818,"expertCount":821},"CH-24","现代农业",[819,820],"智慧农业","农业",2433,{"code":823,"name":824,"group":702,"gb4754":10,"parent":10,"aliases":825,"expertCount":828},"CH-25","采矿",[826,827],"矿业","矿山",378,{"code":830,"name":831,"group":702,"gb4754":10,"parent":10,"aliases":832,"expertCount":202},"CH-26","电力",[833],"电力行业",{"code":835,"name":836,"group":702,"gb4754":10,"parent":10,"aliases":837,"expertCount":840},"CH-27","建筑",[838,839],"建筑业","建造",976,{"code":526,"name":527,"group":702,"gb4754":10,"parent":10,"aliases":842,"expertCount":844},[843],"交通运输",3618,{"code":846,"name":847,"group":702,"gb4754":10,"parent":10,"aliases":848,"expertCount":439},"CH-29","金融",[849],"金融业",{"code":529,"name":530,"group":702,"gb4754":10,"parent":10,"aliases":851,"expertCount":854},[852,853],"制造业","先进制造",668,{"code":856,"name":857,"group":702,"gb4754":10,"parent":10,"aliases":858,"expertCount":860},"CH-31","石油化工",[859],"石化",253,{"code":627,"name":628,"group":702,"gb4754":10,"parent":10,"aliases":862,"expertCount":33},[628],{"code":630,"name":631,"group":702,"gb4754":10,"parent":10,"aliases":864,"expertCount":866},[865],"AI",1668,{"code":868,"name":869,"group":702,"gb4754":10,"parent":10,"aliases":870,"expertCount":873},"CH-34","云计算\u002F算力",[871,872],"云计算","算力",56,{"code":875,"name":117,"group":702,"gb4754":10,"parent":10,"aliases":876,"expertCount":879},"CH-35",[877,878],"大数据","数据要素",271,{"code":881,"name":882,"group":702,"gb4754":10,"parent":10,"aliases":883,"expertCount":884},"CH-36","工业互联网",[882],14,{"code":886,"name":887,"group":702,"gb4754":10,"parent":10,"aliases":888,"expertCount":234},"CH-37","物联网",[889],"IoT",{"code":891,"name":892,"group":702,"gb4754":10,"parent":10,"aliases":893,"expertCount":895},"CH-38","区块链",[894],"Blockchain",19,{"code":897,"name":898,"group":702,"gb4754":10,"parent":10,"aliases":899,"expertCount":902},"CH-39","网络与数据安全",[900,901],"网络安全","安全",480,{"group":46,"code":46,"name":45,"count":884,"tags":904},[905,909,913,916,918,923,929,935,943,946,952,956,961,966],{"code":633,"name":634,"group":46,"gb4754":10,"parent":10,"aliases":906,"expertCount":908},[907],"未来制造技术",23,{"code":461,"name":462,"group":46,"gb4754":10,"parent":10,"aliases":910,"expertCount":912},[911],"未来信息技术",29,{"code":532,"name":533,"group":46,"gb4754":10,"parent":10,"aliases":914,"expertCount":915},[533],184,{"code":579,"name":580,"group":46,"gb4754":10,"parent":10,"aliases":917,"expertCount":908},[737],{"code":919,"name":920,"group":46,"gb4754":10,"parent":10,"aliases":921,"expertCount":767},"FU-05","未来空间",[922],"未来空间技术",{"code":924,"name":925,"group":46,"gb4754":10,"parent":10,"aliases":926,"expertCount":928},"FU-06","未来健康",[927],"未来健康技术",0,{"code":930,"name":931,"group":46,"gb4754":10,"parent":10,"aliases":932,"expertCount":934},"FU-07","元宇宙",[933],"Metaverse",68,{"code":936,"name":937,"group":46,"gb4754":10,"parent":10,"aliases":938,"expertCount":942},"FU-08","生成式人工智能",[939,940,941],"AIGC","生成式AI","通用人工智能",151,{"code":675,"name":676,"group":46,"gb4754":10,"parent":10,"aliases":944,"expertCount":32},[945],"合成生物",{"code":947,"name":948,"group":46,"gb4754":10,"parent":10,"aliases":949,"expertCount":895},"FU-10","基因与细胞治疗",[950,951],"细胞治疗","基因治疗",{"code":498,"name":499,"group":46,"gb4754":10,"parent":10,"aliases":953,"expertCount":955},[954],"储能",106,{"code":957,"name":958,"group":46,"gb4754":10,"parent":10,"aliases":959,"expertCount":83},"FU-12","钙钛矿光伏",[960],"钙钛矿",{"code":962,"name":963,"group":46,"gb4754":10,"parent":10,"aliases":964,"expertCount":163},"FU-13","第三代半导体",[963,965],"宽禁带半导体",{"code":967,"name":968,"group":46,"gb4754":10,"parent":10,"aliases":969,"expertCount":83},"FU-14","类脑智能",[970],"类脑计算",{"group":972,"code":972,"name":973,"count":974,"tags":975},"GB4754","国民经济行业分类",97,[976,984,992,999,1006,1012,1020,1027,1034,1038,1044,1050,1056,1064,1070,1077,1083,1090,1097,1103,1109,1115,1121,1127,1134,1142,1150,1155,1159,1165,1170,1177,1185,1191,1195,1201,1208,1215,1221,1230,1236,1242,1249,1256,1264,1271,1278,1286,1294,1300,1307,1315,1321,1329,1336,1343,1351,1357,1365,1372,1379,1387,1393,1401,1407,1413,1421,1427,1433,1439,1446,1453,1459,1466,1471,1478,1486,1491,1498,1504,1511,1517,1523,1531,1537,1543,1550,1556,1563,1566,1572,1579,1587,1593,1599,1606,1612],{"code":977,"name":820,"group":972,"gb4754":978,"parent":979,"aliases":980,"expertCount":983},"GB-01","01","A",[981,982],"农林种植","种植业",2436,{"code":985,"name":986,"group":972,"gb4754":987,"parent":979,"aliases":988,"expertCount":991},"GB-02","林业","02",[989,990],"营林","造林",131,{"code":993,"name":994,"group":972,"gb4754":995,"parent":979,"aliases":996,"expertCount":13},"GB-03","畜牧业","03",[997,998],"养殖","畜禽养殖",{"code":1000,"name":1001,"group":972,"gb4754":1002,"parent":979,"aliases":1003,"expertCount":83},"GB-04","渔业","04",[1004,1005],"水产","水产养殖",{"code":1007,"name":1008,"group":972,"gb4754":1009,"parent":979,"aliases":1010,"expertCount":928},"GB-05","农、林、牧、渔专业及辅助性活动","05",[1011],"农林牧渔服务",{"code":1013,"name":1014,"group":972,"gb4754":1015,"parent":1016,"aliases":1017,"expertCount":259},"GB-06","煤炭开采和洗选业","06","B",[1018,1019],"煤炭","煤矿",{"code":1021,"name":1022,"group":972,"gb4754":1023,"parent":1016,"aliases":1024,"expertCount":240},"GB-07","石油和天然气开采业","07",[1025,1026],"油气开采","油气",{"code":1028,"name":1029,"group":972,"gb4754":1030,"parent":1016,"aliases":1031,"expertCount":1033},"GB-08","黑色金属矿采选业","08",[1032],"铁矿采选",3,{"code":556,"name":557,"group":972,"gb4754":1035,"parent":1016,"aliases":1036,"expertCount":259},"09",[1037],"有色矿采选",{"code":1039,"name":1040,"group":972,"gb4754":1041,"parent":1016,"aliases":1042,"expertCount":1033},"GB-10","非金属矿采选业","10",[1043],"非金属矿",{"code":1045,"name":1046,"group":972,"gb4754":1047,"parent":1016,"aliases":1048,"expertCount":928},"GB-11","开采专业及辅助性活动","11",[1049],"矿山服务",{"code":1051,"name":1052,"group":972,"gb4754":1053,"parent":1016,"aliases":1054,"expertCount":928},"GB-12","其他采矿业","12",[1055],"其他采矿",{"code":1057,"name":1058,"group":972,"gb4754":1059,"parent":1060,"aliases":1061,"expertCount":1063},"GB-13","农副食品加工业","13","C",[1062],"农副食品",4,{"code":1065,"name":1066,"group":972,"gb4754":1067,"parent":1060,"aliases":1068,"expertCount":202},"GB-14","食品制造业","14",[1069],"食品制造",{"code":1071,"name":1072,"group":972,"gb4754":1073,"parent":1060,"aliases":1074,"expertCount":697},"GB-15","酒、饮料和精制茶制造业","15",[1075,1076],"酒类饮料","茶饮",{"code":1078,"name":1079,"group":972,"gb4754":1080,"parent":1060,"aliases":1081,"expertCount":697},"GB-16","烟草制品业","16",[1082],"烟草",{"code":1084,"name":1085,"group":972,"gb4754":1086,"parent":1060,"aliases":1087,"expertCount":928},"GB-17","纺织业","17",[1088,1089],"纺织","棉纺",{"code":1091,"name":1092,"group":972,"gb4754":1093,"parent":1060,"aliases":1094,"expertCount":928},"GB-18","纺织服装、服饰业","18",[1095,1096],"服装","服饰",{"code":1098,"name":1099,"group":972,"gb4754":1100,"parent":1060,"aliases":1101,"expertCount":928},"GB-19","皮革、毛皮、羽毛及其制品和制鞋业","19",[1102],"皮革制鞋",{"code":1104,"name":1105,"group":972,"gb4754":1106,"parent":1060,"aliases":1107,"expertCount":1033},"GB-20","木材加工和木、竹、藤、棕、草制品业","20",[1108],"木材加工",{"code":1110,"name":1111,"group":972,"gb4754":1112,"parent":1060,"aliases":1113,"expertCount":928},"GB-21","家具制造业","21",[1114],"家具",{"code":1116,"name":1117,"group":972,"gb4754":1118,"parent":1060,"aliases":1119,"expertCount":928},"GB-22","造纸和纸制品业","22",[1120],"造纸",{"code":1122,"name":1123,"group":972,"gb4754":1124,"parent":1060,"aliases":1125,"expertCount":63},"GB-23","印刷和记录媒介复制业","23",[1126],"印刷复制",{"code":1128,"name":1129,"group":972,"gb4754":1130,"parent":1060,"aliases":1131,"expertCount":928},"GB-24","文教、工美、体育和娱乐用品制造业","24",[1132,1133],"文体用品","工美",{"code":1135,"name":1136,"group":972,"gb4754":1137,"parent":1060,"aliases":1138,"expertCount":1033},"GB-25","石油、煤炭及其他燃料加工业","25",[1139,1140,1141],"石油加工","炼油","煤化工",{"code":1143,"name":1144,"group":972,"gb4754":1145,"parent":1060,"aliases":1146,"expertCount":1149},"GB-26","化学原料和化学制品制造业","26",[1147,1148],"化工","化学原料",283,{"code":655,"name":656,"group":972,"gb4754":1151,"parent":1060,"aliases":1152,"expertCount":1154},"27",[752,1153],"制药",988,{"code":605,"name":606,"group":972,"gb4754":1156,"parent":1060,"aliases":1157,"expertCount":1033},"28",[1158],"化纤",{"code":1160,"name":1161,"group":972,"gb4754":1162,"parent":1060,"aliases":1163,"expertCount":294},"GB-29","橡胶和塑料制品业","29",[1164],"橡胶塑料",{"code":608,"name":609,"group":972,"gb4754":1166,"parent":1060,"aliases":1167,"expertCount":265},"30",[1168,1169],"建材","非金属矿物",{"code":1171,"name":1172,"group":972,"gb4754":1173,"parent":1060,"aliases":1174,"expertCount":13},"GB-31","黑色金属冶炼和压延加工业","31",[1175,1176],"钢铁","黑色冶金",{"code":1178,"name":1179,"group":972,"gb4754":1180,"parent":1060,"aliases":1181,"expertCount":1184},"GB-32","有色金属冶炼和压延加工业","32",[1182,1183],"有色冶金","有色金属",42,{"code":1186,"name":1187,"group":972,"gb4754":1188,"parent":1060,"aliases":1189,"expertCount":56},"GB-33","金属制品业","33",[1190],"金属制品",{"code":511,"name":512,"group":972,"gb4754":1192,"parent":1060,"aliases":1193,"expertCount":157},"34",[1194],"通用设备",{"code":1196,"name":1197,"group":972,"gb4754":1198,"parent":1060,"aliases":1199,"expertCount":697},"GB-35","专用设备制造业","35",[1200],"专用设备",{"code":1202,"name":1203,"group":972,"gb4754":1204,"parent":1060,"aliases":1205,"expertCount":328},"GB-36","汽车制造业","36",[1206,1207],"汽车","整车",{"code":1209,"name":1210,"group":972,"gb4754":1211,"parent":1060,"aliases":1212,"expertCount":1214},"GB-37","铁路、船舶、航空航天和其他运输设备制造业","37",[1213],"轨道船舶航空航天",707,{"code":489,"name":490,"group":972,"gb4754":1216,"parent":1060,"aliases":1217,"expertCount":1220},"38",[1218,1219],"电气机械","电工电器",867,{"code":1222,"name":1223,"group":972,"gb4754":1224,"parent":1060,"aliases":1225,"expertCount":1229},"GB-39","计算机、通信和其他电子设备制造业","39",[1226,1227,1228],"电子设备","电子制造","通信设备",1192,{"code":514,"name":515,"group":972,"gb4754":1231,"parent":1060,"aliases":1232,"expertCount":1235},"40",[1233,1234],"仪器仪表","仪表",130,{"code":1237,"name":1238,"group":972,"gb4754":1239,"parent":1060,"aliases":1240,"expertCount":928},"GB-41","其他制造业","41",[1241],"其他制造",{"code":1243,"name":1244,"group":972,"gb4754":1245,"parent":1060,"aliases":1246,"expertCount":696},"GB-42","废弃资源综合利用业","42",[1247,1248],"资源综合利用","再生资源",{"code":1250,"name":1251,"group":972,"gb4754":1252,"parent":1060,"aliases":1253,"expertCount":928},"GB-43","金属制品、机械和设备修理业","43",[1254,1255],"设备修理","机电维修",{"code":1257,"name":1258,"group":972,"gb4754":1259,"parent":1260,"aliases":1261,"expertCount":1263},"GB-44","电力、热力生产和供应业","44","D",[831,1262],"热电",164,{"code":1265,"name":1266,"group":972,"gb4754":1267,"parent":1260,"aliases":1268,"expertCount":884},"GB-45","燃气生产和供应业","45",[1269,1270],"燃气","城市燃气",{"code":1272,"name":1273,"group":972,"gb4754":1274,"parent":1260,"aliases":1275,"expertCount":32},"GB-46","水的生产和供应业","46",[1276,1277],"供水","水务",{"code":1279,"name":1280,"group":972,"gb4754":1281,"parent":1282,"aliases":1283,"expertCount":928},"GB-47","房屋建筑业","47","E",[1284,1285],"房屋建筑","房建",{"code":1287,"name":1288,"group":972,"gb4754":1289,"parent":1282,"aliases":1290,"expertCount":1293},"GB-48","土木工程建筑业","48",[1291,1292],"土木建筑","基建",284,{"code":1295,"name":1296,"group":972,"gb4754":1297,"parent":1282,"aliases":1298,"expertCount":928},"GB-49","建筑安装业","49",[1299],"建筑安装",{"code":1301,"name":1302,"group":972,"gb4754":1303,"parent":1282,"aliases":1304,"expertCount":928},"GB-50","建筑装饰、装修和其他建筑业","50",[1305,1306],"建筑装饰","装修",{"code":1308,"name":1309,"group":972,"gb4754":1310,"parent":1311,"aliases":1312,"expertCount":697},"GB-51","批发业","51","F",[1313,1314],"批发","商贸批发",{"code":1316,"name":1317,"group":972,"gb4754":1318,"parent":1311,"aliases":1319,"expertCount":1063},"GB-52","零售业","52",[1320],"零售",{"code":1322,"name":1323,"group":972,"gb4754":1324,"parent":1325,"aliases":1326,"expertCount":912},"GB-53","铁路运输业","53","G",[1327,1328],"铁路运输","铁路",{"code":1330,"name":1331,"group":972,"gb4754":1332,"parent":1325,"aliases":1333,"expertCount":738},"GB-54","道路运输业","54",[1334,1335],"道路运输","公路运输",{"code":1337,"name":1338,"group":972,"gb4754":1339,"parent":1325,"aliases":1340,"expertCount":32},"GB-55","水上运输业","55",[1341,1342],"水运","航运",{"code":1344,"name":1345,"group":972,"gb4754":1346,"parent":1325,"aliases":1347,"expertCount":1350},"GB-56","航空运输业","56",[1348,1349],"航空运输","民航",642,{"code":1352,"name":1353,"group":972,"gb4754":1354,"parent":1325,"aliases":1355,"expertCount":895},"GB-57","管道运输业","57",[1356],"管道运输",{"code":1358,"name":1359,"group":972,"gb4754":1360,"parent":1325,"aliases":1361,"expertCount":1364},"GB-58","装卸搬运和仓储业","58",[1362,1363],"仓储","物流仓储",2,{"code":1366,"name":1367,"group":972,"gb4754":1368,"parent":1325,"aliases":1369,"expertCount":32},"GB-59","邮政业","59",[1370,1371],"邮政","快递",{"code":1373,"name":1374,"group":972,"gb4754":1375,"parent":1325,"aliases":1376,"expertCount":697},"GB-60","多式联运和运输代理业","60",[1377,1378],"多式联运","货运代理",{"code":1380,"name":1381,"group":972,"gb4754":1382,"parent":1383,"aliases":1384,"expertCount":928},"GB-61","住宿业","61","H",[1385,1386],"住宿","酒店",{"code":1388,"name":1389,"group":972,"gb4754":1390,"parent":1383,"aliases":1391,"expertCount":928},"GB-62","餐饮业","62",[1392],"餐饮",{"code":1394,"name":1395,"group":972,"gb4754":1396,"parent":1397,"aliases":1398,"expertCount":884},"GB-63","电信、广播电视和卫星传输服务","63","I",[1399,1400],"电信","通信运营",{"code":1402,"name":1403,"group":972,"gb4754":1404,"parent":1397,"aliases":1405,"expertCount":316},"GB-64","互联网和相关服务","64",[1406],"互联网服务",{"code":613,"name":614,"group":972,"gb4754":1408,"parent":1397,"aliases":1409,"expertCount":1412},"65",[1410,1411],"软件","IT服务",451,{"code":1414,"name":1415,"group":972,"gb4754":1416,"parent":1417,"aliases":1418,"expertCount":49},"GB-66","货币金融服务","66","J",[1419,1420],"银行","货币金融",{"code":492,"name":493,"group":972,"gb4754":1422,"parent":1417,"aliases":1423,"expertCount":1426},"67",[1424,1425],"资本市场","证券基金",238,{"code":1428,"name":1429,"group":972,"gb4754":1430,"parent":1417,"aliases":1431,"expertCount":32},"GB-68","保险业","68",[1432],"保险",{"code":1434,"name":1435,"group":972,"gb4754":1436,"parent":1417,"aliases":1437,"expertCount":697},"GB-69","其他金融业","69",[1438],"其他金融",{"code":1440,"name":1441,"group":972,"gb4754":1442,"parent":1443,"aliases":1444,"expertCount":1033},"GB-70","房地产业","70","K",[1445],"房地产",{"code":1447,"name":1448,"group":972,"gb4754":1449,"parent":1450,"aliases":1451,"expertCount":697},"GB-71","租赁业","71","L",[1452],"租赁",{"code":545,"name":546,"group":972,"gb4754":1454,"parent":1450,"aliases":1455,"expertCount":1458},"72",[1456,1457],"商务服务","专业服务",66,{"code":443,"name":444,"group":972,"gb4754":1460,"parent":1461,"aliases":1462,"expertCount":1465},"73","M",[1463,1464],"研发","研究试验",2855,{"code":446,"name":447,"group":972,"gb4754":1467,"parent":1461,"aliases":1468,"expertCount":1470},"74",[1469],"专业技术服务",358,{"code":1472,"name":1473,"group":972,"gb4754":1474,"parent":1461,"aliases":1475,"expertCount":928},"GB-75","科技推广和应用服务业","75",[1476,1477],"科技服务","技术推广",{"code":1479,"name":1480,"group":972,"gb4754":1481,"parent":1482,"aliases":1483,"expertCount":1485},"GB-76","水利管理业","76","N",[1484],"水利",127,{"code":561,"name":562,"group":972,"gb4754":1487,"parent":1482,"aliases":1488,"expertCount":1490},"77",[1489,807],"环境治理",1071,{"code":1492,"name":1493,"group":972,"gb4754":1494,"parent":1482,"aliases":1495,"expertCount":1497},"GB-78","公共设施管理业","78",[1496],"市政公用设施",17,{"code":1499,"name":1500,"group":972,"gb4754":1501,"parent":1482,"aliases":1502,"expertCount":928},"GB-79","土地管理业","79",[1503],"土地管理",{"code":1505,"name":1506,"group":972,"gb4754":1507,"parent":1508,"aliases":1509,"expertCount":928},"GB-80","居民服务业","80","O",[1510],"居民服务",{"code":1512,"name":1513,"group":972,"gb4754":1514,"parent":1508,"aliases":1515,"expertCount":928},"GB-81","机动车、电子产品和日用产品修理业","81",[1516],"修理维护",{"code":1518,"name":1519,"group":972,"gb4754":1520,"parent":1508,"aliases":1521,"expertCount":928},"GB-82","其他服务业","82",[1522],"其他服务",{"code":1524,"name":1525,"group":972,"gb4754":1526,"parent":1527,"aliases":1528,"expertCount":1530},"GB-83","教育","83","P",[1525,1529],"教育培训",339,{"code":618,"name":619,"group":972,"gb4754":1532,"parent":1533,"aliases":1534,"expertCount":1536},"84","Q",[619,1535],"医疗",456,{"code":1538,"name":1539,"group":972,"gb4754":1540,"parent":1533,"aliases":1541,"expertCount":696},"GB-85","社会工作","85",[1539,1542],"社工",{"code":1544,"name":1545,"group":972,"gb4754":1546,"parent":1547,"aliases":1548,"expertCount":192},"GB-86","新闻和出版业","86","R",[1549],"新闻出版",{"code":1551,"name":1552,"group":972,"gb4754":1553,"parent":1547,"aliases":1554,"expertCount":294},"GB-87","广播、电视、电影和录音制作业","87",[1555],"广电影视",{"code":1557,"name":1558,"group":972,"gb4754":1559,"parent":1547,"aliases":1560,"expertCount":1562},"GB-88","文化艺术业","88",[1561],"文化艺术",45,{"code":659,"name":660,"group":972,"gb4754":1564,"parent":1547,"aliases":1565,"expertCount":21},"89",[660],{"code":1567,"name":1568,"group":972,"gb4754":1569,"parent":1547,"aliases":1570,"expertCount":1033},"GB-90","娱乐业","90",[1571],"娱乐",{"code":1573,"name":1574,"group":972,"gb4754":1575,"parent":1576,"aliases":1577,"expertCount":928},"GB-91","中国共产党机关","91","S",[1578],"党政机关",{"code":1580,"name":1581,"group":972,"gb4754":1582,"parent":1576,"aliases":1583,"expertCount":1586},"GB-92","国家机构","92",[1584,1585],"政府机构","国家机关",22,{"code":1588,"name":1589,"group":972,"gb4754":1590,"parent":1576,"aliases":1591,"expertCount":1364},"GB-93","人民政协、民主党派","93",[1592],"政协民主党派",{"code":1594,"name":1595,"group":972,"gb4754":1596,"parent":1576,"aliases":1597,"expertCount":49},"GB-94","社会保障","94",[1598,1595],"社保",{"code":1600,"name":1601,"group":972,"gb4754":1602,"parent":1576,"aliases":1603,"expertCount":282},"GB-95","群众团体、社会团体和其他成员组织","95",[1604,1605],"社会团体","社会组织",{"code":1607,"name":1608,"group":972,"gb4754":1609,"parent":1576,"aliases":1610,"expertCount":928},"GB-96","基层群众自治组织及其他组织","96",[1611],"基层自治组织",{"code":1613,"name":1614,"group":972,"gb4754":1615,"parent":1616,"aliases":1617,"expertCount":928},"GB-97","国际组织","97","T",[1614],{"group":1619,"code":1619,"name":7,"count":63,"tags":1620},"SEI",[1621,1624,1627,1630,1634,1636,1639,1646,1651],{"code":449,"name":450,"group":1619,"gb4754":10,"parent":10,"aliases":1622,"expertCount":1623},[786,788],2228,{"code":519,"name":520,"group":1619,"gb4754":10,"parent":10,"aliases":1625,"expertCount":1626},[524],691,{"code":475,"name":476,"group":1619,"gb4754":10,"parent":10,"aliases":1628,"expertCount":1629},[480],1247,{"code":662,"name":663,"group":1619,"gb4754":10,"parent":10,"aliases":1631,"expertCount":1633},[663,1632],"生物医药生物",1085,{"code":564,"name":565,"group":1619,"gb4754":10,"parent":10,"aliases":1635,"expertCount":84},[574,803],{"code":567,"name":568,"group":1619,"gb4754":10,"parent":10,"aliases":1637,"expertCount":1638},[595],633,{"code":1640,"name":1641,"group":1619,"gb4754":10,"parent":10,"aliases":1642,"expertCount":1645},"SEI-07","节能环保产业",[1643,1644],"节能环保","环保产业",166,{"code":1647,"name":1648,"group":1619,"gb4754":10,"parent":10,"aliases":1649,"expertCount":1063},"SEI-08","数字创意产业",[1650],"数字创意",{"code":1652,"name":1653,"group":1619,"gb4754":10,"parent":10,"aliases":1654,"expertCount":56},"SEI-09","相关服务业",[1655],"战略性新兴服务业"]