[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"chains-groupcat":3,"experts-list":383,"experts-coverage":828,"tags-groups":830},[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":825,"page":826,"pageSize":223,"totalPages":827},[385,401,410,420,430,441,449,458,466,476,511,535,544,560,575,594,611,622,646,656,669,678,687,715,726,740,752,769,782,817],{"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},"bf4d6b8d-06c7-7495-6b7c-b5e4fb874f76","闵海根","长安大学信息工程学院","长安大学","男","教授","博士","聚焦自动驾驶、车路协同相关理论技术研究和工程实践应用，围绕高精度定位及导航、智能网联汽车故障诊断、网联协同控制、具身智能等热难点技术开展研究。 （1）智能网联汽车高精度定位及导航  为解决智能汽车在隧道、城市峡谷等复杂环境下的高精度、高可靠定位问题，研究融合激光雷达（激光SLAM）、GNSS、视觉传感器（视觉SLAM）数据及地图数据的定位方法。提出了网联环境下考虑通信网络延时、邻居车辆数量和传感器测量不确定度等因素的协同定位框架和算法。Your user agent does not support the HTML5 Video element.Your user agent does not support the HTML5 Video element.图1 多源传感器融合定位与网联协同定位   （2）智能网联汽车传感器故障诊断  针对智能汽车故障诊断，通过实时获取多源传感器数据，综合利用统计学方法、机器学习等方法检测传感器数据异常，提出相应的容错控制策略保证系统的可靠及安全。利用模型和数据驱动方法对智能汽车的状态进行精准预测，同时关注检测模型的可解释性。 （3）网联环境下车辆协同控制方法Your user agent does not support the HTML5 Video element.图3 混合交通流仿真测试  （4）具身智能技术及应用   聚焦具身智能关键理论与技术，围绕多模态感知与认知、视觉-语言-动作（VLA）大模型、智能体决策与规划、强化学习与模仿学习、环境交互与自主控制、多智能体协同等开展研究，探索智能系统在复杂动态环境中的感知、推理、学习与行动机制。研究对象涵盖智能车辆、移动机器人、无人系统等典型智能体，注重人工智能、机器人、自动驾驶与智能交通等领域的交叉融合","男，中共党员，教授，博士生导师。世界交通运输大会（World Transport Convention，WTC）车联网委员会委员，陕西省创新驱动共同体自动驾驶专委会秘书，《中国公路学报》交通工程方向青年编委，《无人系统技术》期刊青年编委；荣获陕西省2019年高等教育教学成果奖“特等奖”；指导学生参加中国研究生电子设计竞、大学生物联网设计竞赛获、“挑战杯”、“互联网+”、中国智能车未来挑战赛（IFVC）、世界智能驾驶挑战赛（WIDC）、中国智能汽车大赛（CIVC）、i-VISTA自动驾驶汽车挑战赛等竞赛荣获国家及省级奖励20余项；获得“CICTP 2018 Best Paper Award”最佳论文奖；在Transportation Research Part C、IEEE TITS、中国公路学报等顶级期刊上发表SCI\u002FEI论文40余篇，授权和申请国际发明专利6项，国家发明专利26项，授权软件著作权12项；主持国家自然科学基金面上项目、国家自然科学基金青年项目、陕西省青年科技新星人才项目、陕西省重点研发计划等项目共8项，参与国家重点研发计划项目、陕西省重点创新产业链项目等项目20余项。图1 自主研发的“信达号”智能网联汽车平台图2 无人驾驶汽车竞赛获奖证书欢迎对无人驾驶平台研发（包括多源信息融合感知、高精度定位、智能决策与控制等关键技术）、智能网联汽车安全、车路协同管控、车联网、人工智能、大数据与数据挖掘、具身智能等方向感兴趣的同学，报考本人的硕士研究生。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     1、学术活动：《IEEE Sensors Journal》Associate Editor副主编；《International Journal of Transportation Science andTechnology》青年编委；《中国公路学报》青年编委；《交通运输工程学报》青年编委；《无人系统技术》期刊青年编委；IEEE member；中国计算机学会（CCF）会员；中国人工智能学会（CCAI）会员。 2、著名期刊\u002F会议审稿人：IEEE Transactions on Intelligent Transportation SystemsIEEE Intelligent Transportation Systems MagazineIEEE Sensors JournalIEEE Systems JournalIET Intelligent Transportation Systems中国公路学报交通运输工程学报吉大学报无人系统技术IEEE Conference on Intelligent Transportation Systems(ITSC)IEEE Intelligent Vehicles Symposium(IV)Transportation Research Board Annual Meeting(TRB)COTA International Conference of Transportation Professionals (CICTP)        World Transport Conference (WTC)","陕西",false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fmhg\u002Flist.htm",true,[],[],{"id":402,"name":403,"orgName":404,"school":389,"gender":390,"title":391,"degree":392,"honor":10,"position":10,"researchDirection":405,"intro":406,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":407,"nameValid":398,"tags":408,"tagNames":409},"2bf202a6-ce3b-7f3d-dbcf-b28cc7b59080","惠萌","长安大学电子与控制工程学院","研究方向：  1.具身智能-人形机器人应用开发；2.复杂网络理论分析研究；3.工业机器人应用开发；4.多智能体一致性。招生专业方向：博士及博士后：智能控制理论与工程（0823Z5）学术硕士：控制科学与工程专业硕士：电子信息课题组拥有无人车、无人机等设备，能够对相关研究方向进行有力支撑。有意报考课题组的研究生，请尽量在复试之前与我联系，确定方向与名额。每年招收博士研究生1人，硕士研究生4人。毕业生去向：华中科技大学 攻博、省直机关公务员、中兴通信公司、陕汽集团、西南技术物理研究所、比亚迪、法士特、庆安集团等国有企事业单位及行业龙头企业等。Email:  ximeng@chd.edu.cn研究生作品发布，请关注B站账号","个人简介惠萌，教授，博导\u002F硕导。在西安交通大学获得学士、硕士及博士学位。长期从事自动化专业的教学和科研工作。在教学方面，编写教材4部；获陕西省教学成果奖特等奖1项；国家教学成果二等奖一项；指导本科生参加全国大学生电子设计竞赛获陕西省一等奖1项，二等奖多项；全国大学生机械创意大赛国家奖三等奖1项，西北赛区一等奖2一项，二等奖一项；指导国家级大创项目3项，省级5项，结题优秀4项；“互联网+”竞赛奖项多项等。在科研方面，主持国家自然科学基金青年项目1项，国家重点研发项目子课题1项，主持陕西省自然科学基金青年项目1项，面上项目1项，陕西省重点研发计划项目1项，主持长安大学中央高校基础研究项目2项，创新团队项目1项，横向项目多项。本人科研团队介绍请见：https:\u002F\u002Fec.chd.edu.cn\u002Finfo\u002F1047\u002F2541.htm \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     国家自然科学基金同行评议专家；IEEE Member;中国自动化学会会员;陕西省仪器仪表协会常务理事;教育部学位中心通信评议专家；教育部高等学校科学研究发展中心评议专家；IEEE Transaction on Cybernetics，IEEE Transaction on Neural Networks and Learning System, Neurocomputing, Communications in Nonlinear Science and Numerical Simulation，Information Sciences、Information Fusion, 中国电机工程学报等十余高水平国际、国内期刊审稿人","http:\u002F\u002Fjs.chd.edu.cn\u002Fdzykzgcxy\u002Fhm100\u002Flist.htm",[],[],{"id":411,"name":412,"orgName":388,"school":389,"gender":390,"title":413,"degree":414,"honor":10,"position":10,"researchDirection":415,"intro":416,"province":395,"completeness":229,"avatarAuthorized":396,"sourceUrl":417,"nameValid":398,"tags":418,"tagNames":419},"4fe0211e-b445-9df9-f85a-89e2c96e040e","李巍","副教授","工学博士","课题组主要从事低空车联网通信、6G移动通信、智能绿色通信等领域的基础理论与关键技术研究，结合传统通信技术和机器学习、深度学习、强化学习等人工智能理论，实现通信网络的智能化与通感算一体化。1、基于低空车联网多模态数据感知的智能动态资源分配与优化技术  通过融合无人机、路侧单元与车载终端获取的链路状态、业务需求、位置轨迹、计算负载及环境信息等多模态感知数据，统一刻画频谱、时隙、功率、计算资源与空域位置等多维异构资源状态，建立面向三维动态拓扑的跨层资源感知与联合建模机制，分析资源需求变化与网络运行状态的时空演化规律。同时面向典型车联网业务与低空协同应用场景，构建多类型、多规模的资源状态与业务特征样本集，引入深度强化学习、多智能体协同学习等方法，研制能够在复杂动态环境下实现快速收敛、稳定决策与持续自适应优化的智能资源分配模型，实现空-地-车网络资源的动态感知、联合优化与自适应分配。2、面向6G移动通信网络的通信、感知与计算一体化技术研究  通感算一体化是6G网络核心关键技术，打破传统通信、感知、计算功能割裂的架构模式，依托统一协议栈实现多域资源协同共享。聚焦6G空天地一体化网络场景，攻克通感同频干扰抑制、频谱算力联合调度、端边云协同计算等关键技术，优化一体化波形设计与高精度感知算法。通过重构网络资源调度机制，实现通信传输、环境感知、数据计算的深度融合，解决多功能资源冲突、感知精度不足、实时算力匮乏等痛点。该技术可大幅提升网络频谱效率与算力利用率，支撑自动驾驶、智能制造、沉浸式通信等6G高阶智能场景，为全域智能无线网络构建提供核心技术支撑。       课题组具备一流软硬件条件，欢迎报考课题组研究生, 欢迎有意推免研究生的同学提前联系","社会职务 \n                                    \n                                     1、国际标准组织ISO JTC1\\SC6技术委员会注册专家；2、美国电子与电气工程协会（IEEE）会员；3、中国计算机学会（CCF）会员；4、顶级国际学术期刊IEEE Transactions on Wireless Communications、IEEE Transactions on Communications、IEEE Transactions on Signal and Information Processing Over Networks等审稿人；5、高水平国际学术会议IEEE Global Communications Conference‌(GLOBECOM)、IEEE Vehicular Technology Conference(VTC)等Technical Program Committee member(技术委员会成员)；","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Flw_7826\u002Flist.htm",[],[],{"id":421,"name":422,"orgName":423,"school":389,"gender":424,"title":413,"degree":392,"honor":10,"position":10,"researchDirection":425,"intro":426,"province":395,"completeness":295,"avatarAuthorized":396,"sourceUrl":427,"nameValid":398,"tags":428,"tagNames":429},"f218f327-ff06-d564-5b40-eeaa16ac2913","胡玉姣","长安大学数据科学与人工智能研究院","女","研究领域：具身智能、无人机\u002F无人车智能协同、数字孪生、边缘计算、组合优化具体围绕无人系统的AI赋能研究领域的热点和重难点问题，聚焦无人集群智能协同面临效率低和算力弱的突出挑战，深耕任务驱动的无人集群智能协同技术与保障无人集群智能协同的算网资源融合调度技术创新发展，以组合优化为核心方法支撑，在多智能体任务分配、动态路径规划、边云资源协同调度等关键场景中构建可扩展的优化建模框架，探索图神经网络、强化学习等智能优化方法与传统组合优化策略的深度融合，提升算法在大规模、动态、不确定性环境中的求解效率与适应能力，为无人系统自主决策与协同提供优化基础。衷心欢迎对上述方向感兴趣、愿意在科研道路上不断成长和挑战自己的本科生、硕士生、博士生加入团队！不论起点如何，只要你有热情、有责任心，我们都愿意耐心指导、一路同行。团队具备良好的实验平台、丰富的科研资源和国内外交流合作机会，更重要的是，我们会和大家一起努力，确保你在这里能有所收获——论文会有的，项目会有的，进步和成就都会有的。欢迎随时联系我（邮箱：huyujiao@chd.edu.cn），期待你的加入。请注意：本研究组暂时不招收国际留学生、交换生，如政策发生改变，会及时调整主页！","胡玉姣，女，数智院副教授，硕博导，长安大学青年英才引进计划入选者，主持或作为核心骨干参与多项国家级和省部级科研项目，在无人系统智能协同及算网融合智能调度技术方面取得一系列重要成果，已成功应用于国家重点领域的行业企业生产。发表本领域高水平学术论文20余篇，受理授权发明专利10余项，牵头制订行业标准3项，在IEEE、CCF和中国科协等国内外知名学术组织中担任重要学术职务，并荣获多个奖项，入选江苏省“双创博士”人才计划、江苏省人才攻关联合体。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     CCF YOCSEF西安分论坛委员CCF YOSCEF南京分论坛AC委员IEEE ComSoc MMTC Communications – Review Committee Editor BoardIECE Transactions on Computer science Editor中国科协“科创中国”未来网络专业科技服务团算力网络工作组组长第四届HotICN国际会议的Track Chair担任国际知名期刊会议的审稿人：包括TNNLS、TKDE、AAAI、ICRA等","http:\u002F\u002Fjs.chd.edu.cn\u002Fsjkxyrgzn\u002Fhyj\u002Flist.htm",[],[],{"id":431,"name":432,"orgName":433,"school":389,"gender":424,"title":434,"degree":392,"honor":10,"position":10,"researchDirection":435,"intro":436,"province":395,"completeness":437,"avatarAuthorized":396,"sourceUrl":438,"nameValid":398,"tags":439,"tagNames":440},"062e5dc9-3fe0-407c-c5dd-2e3f2c35bf39","魏延","长安大学工程机械学院","讲师","机械工程专业，智能机器人与人机共融课题组智能制造与机器人、自动化、人工智能领域：机器人系统设计-轻量化\u002F模块化结构+新材料、高自由度机械臂系统研发；机器人智能导航与运动规划-环境感知与建模、激光\u002FRGB-D 融合 SLAM、人机共融环境下路径规划算法设计；静态与动态环境下的路径优化算法（A*、Dijkstra，、RRT及其改进版 、蚁群、遗传算法、Q-learning等运动规划算法研究与优化）；复杂高维任务中的轨迹生成（如机械臂抓取路径优化）；人机共融与协作-人体舒适空间建模、行为预测与主动协助策略、多模态交互、机器人行为调节、人类操作员与机器人联合完成复杂任务；机器人智能控制-动力学建模与控制：高自由度机械臂与仿人机器人的非线性建模与鲁棒控制、自适应控制算法在复杂任务中的应用、模型预测控制（MPC）与强化学习结合、基于模糊控制与神经网络的自学习控制策略；多智能体编队控制-分布式任务规划算法、动态环境下的实时任务调整与冲突解决；编队保持与队形控制：基于虚拟结构、行为学和Leader-Follower模型的队形生成、复杂队形切换与断裂后重建机制；跨平台、多形态机器人编队（如无人机与移动机器人协作）；工业-移动-仿人-康复-护理-助理六大机器人场景全覆盖• 工业机器人：高速装配闭环控制，在线重规划应对产线换型• 移动机械臂：激光+RGB-D 实时 SLAM 抓取，动态障碍下重规划，提高分拣成功率；• 仿人双臂：7-DoF×2 协调，基于力-位混合阻抗控制，实现插拔、开关门等仿人任务零示教迁移；• 康复&护理：EMG+IMU 人体意图建模，个性化轨迹生成，训练效率提升；• 助理服务：家庭\u002F办公环境中的情境感知与用户行为预测，改善任务规划延迟。技术基础• 深度强化学习：端到端感知-决策-控制，Sim→Real； • 协同仿真：Gazebo + ROS2，多机器人并行测试","魏延，博士，硕导，讲师。2012年6月，获得北京航空航天大学工程力学专业学士学位；2015年1月，获得北京航空航天大学控制科学与工程专业硕士学位；2018年11月，获得法国里尔中央理工自动化、计算机工程、信号与图像处理专业博士学位。精通语言：汉语，英语，法语。2019年1月至今，在长安大学机械设计制造及其自动化、智能制造与机器人专业任教，主讲《机电一体化技术》、《工业机器人（双语）》、《工业机器人（留学生）》、《现代机器人技术》、《工程运筹管理》、《制造过程故障诊断》等专业技术课程。隶属智能机器人与人机共融课题组，主要从事智能制造与机器人方向的研究，具体包括：移动机器人、工业机器人、移动机械臂、双臂机器人、康复机器人、护理机器人和助理服务机器人等相关的机器人结构设计、机器人智能导航与运动规划、机器人智能控制、多智能体编队控制等研究工作。主持\u002F参与各类基金项目十余项，在国内外期刊会议发表论文SCI+EI十余篇，授权国家发明专利2项，申请国家发明专利（受理）3项,软件著作权2项。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     TOP期刊《ROBOTICA》期刊审稿人",95,"http:\u002F\u002Fjs.chd.edu.cn\u002Fgcjxxy\u002Fwy108\u002Flist.htm",[],[],{"id":442,"name":443,"orgName":388,"school":389,"gender":390,"title":413,"degree":414,"honor":10,"position":10,"researchDirection":444,"intro":445,"province":395,"completeness":14,"avatarAuthorized":396,"sourceUrl":446,"nameValid":398,"tags":447,"tagNames":448},"183ee342-d53c-b2f3-7956-47fdf813ace9","史昕","主要研究方向：    （1）车联网环境下的多模态感知与协同跟驰研究；    （2）交通大数据中基于深度学习的预测模型研究；    （3）无线传感器网络中多智能体的协作时间同步","史昕，男，河南南阳人，副教授，硕士研究生导师。先后主持省部级以及横向课题共计7项，分别为陕西省技术创新引导项目1项、河北省技术创新引导项目1项、国家山区公路工程技术研究中心开放基金1项、中央高校基本科研业务项目2项、陕汽集团等校企合作横向课题共2项；作为核心骨干参与国家级、省部级以及横向课题共计9项：参与国家重点研发计划子课题2项；参与国家863计划项目1项；参与“111”学科创新引智基地计划项目1项；参与陕西省国际科技合作基地项目1项；参与交通部信息化重大专项1项；参与国家自然基金面上和青年项目共4项；参与中航工业校企合作课题1项；获得陕西省科学技术奖励一等奖1项，获得中国公路学会科学技术奖励二等奖2项；获得国家发明专利5项、实用新型专利5项、软件著作权12项；在国内外核心期刊和国际会议发表学术论文20余篇；作为副主编分别参编学术专著1部（《网联车辆协同感知与智能决策》）和参编课程教材1部（《C++程序设计》）。先后赴美参加TRB学术会议，到访华盛顿大学STAR LAB实验室、利兹大学交通研究中心和都柏林大学计算机科学系进行学术交流访问。团队名称：SMART Group (Spatio-temporal Multimodal AI Reasoning for Traffic)欢迎对车联网\u002F自动驾驶应用、大数据与深度学习、计算机软硬件设计等方面感兴趣的同学报考我们团队的研究生。学生去向：985读博、央企、五大银行、高职教师、H3C、东航、德邦物流、汇丰科技等。备注：科研团队氛围良好，注重培养学生的基本科研素质和科研实践能力。    勤奋刻苦、稳步践行等内在品质是我们欣赏的。    团队格言：越勤奋越自信，越努力越幸运！    团队理念：创新、勤奋、严谨、卓越                           Innovation, Diligence, Rigor, Excellence  学硕招生方向：计算机科学与技术（081200）；交通运输工程（082300）  专硕招生方向：电子信息（085400）→计算机、软件工程方向；交通运输（086100）   E-mail-decode：alu_steven@qq.com  或“shift+2”00.com    00→ASCII【0x71】ASCII【Dec113】                                           （请附个人简历及相关支撑材料，直观且详细为盼，面试可考虑准备汇报PPT）                         希望实现团队与个人“学术双向奔赴”，期待摒弃“不诚信”浮躁心态，欢迎真心有志于团队者加入！ \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     中国计算机学会（CCF）会员Association for Computing Machinery（ACM）学会会员","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fsx\u002Flist.htm",[],[],{"id":450,"name":451,"orgName":452,"school":389,"gender":390,"title":434,"degree":392,"honor":10,"position":10,"researchDirection":453,"intro":454,"province":395,"completeness":95,"avatarAuthorized":396,"sourceUrl":455,"nameValid":398,"tags":456,"tagNames":457},"3e306083-1e21-442a-0b01-17d2d3eea3ef","刘意立","长安大学汽车学院","研究课题：交能融合、智慧物流、车辆排放与交通污染模拟、交通\u002F车辆标准制修订研究方法：生命周期评价（LCA）、多智能体建模仿真、车辆在线监测大数据分析研究成果应用：城市交通系统优化、车辆\u002F交通碳减排评价","刘意立，工学博士，硕士研究生导师。2018年10月毕业于清华大学环境学院，并在长安大学汽车学院任教。主要研究方向为逆向物流系统设计，汽车\u002F交通减碳降污，交能融合。主持陕西省自然科学基金面上项目、陕西省自然科学基金青年项目、教育部人文社会科学研究项目、教育部产学研合作项目、陕西省哲学社会科学研究项目及多项西安市城管局、中铁建集团、中电建等横向科研项目；参与国家环境保护公益性行业科研专项、中国清洁发展机制基金赠款项目、国家自然科学基金项目及国内多个省、自治区、重点企业的交通规划\u002F评价\u002F安全类项目；发表论文20余篇，其中SCI论文12篇（共计被SCI引用400余次）；获授权发明专利4项、实用新型专利5项、软件著作权4项；参与国家\u002F行业\u002F地方标准编制4项、团体标准3项。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     中国汽车工程学会汽车环境保护技术分会会员陕西省汽车工程学会汽车低碳环保技术委员会秘书长西安市机动车维修协会专家委员会委员《环境卫生工程》第四届青年编委SCI期刊审稿人：Journal of Cleaner Production，Science of the Total Environment，Sustainable Production and Consumption，Sustainable Cities and Society，Waste Management，PLOS ONE，Journal of the Air & Waste Management Association，Heliyon，Cleaner Environmental Systems","http:\u002F\u002Fjs.chd.edu.cn\u002Fqcxy\u002Flyl104\u002Flist.htm",[],[],{"id":459,"name":460,"orgName":388,"school":389,"gender":390,"title":413,"degree":392,"honor":10,"position":10,"researchDirection":461,"intro":462,"province":395,"completeness":95,"avatarAuthorized":396,"sourceUrl":463,"nameValid":398,"tags":464,"tagNames":465},"82b367d4-33cb-cd6f-fe5b-90bf4da0926f","焦立男","1．图像处理与分析；2．计算机视觉与模式识别；3．机器人运动规划；4．智能体与多智能体技术","焦立男，男，1975年生，博士，副教授，。本科毕业后即从事国家重大项目的研发工作；硕士期间及毕业后均参与863空间目标与环境建模项目；博士期间参与国防科工委地面移动机器人重点预研项目；在长安大学的工作以及博士后研究中，涉及基于数字图像的道路检测研究，参与陕西省科技攻关项目和国家西部交通建设科技项目。主持陕西省自然科学基金项目和中国博士后科学基金项目各一项。目前研究兴趣主要集中于图像分析、机器人视觉和规划等领域的理论与应用。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     担任农工民主党长安大学支部副主委","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fjln\u002Flist.htm",[],[],{"id":467,"name":468,"orgName":469,"school":389,"gender":424,"title":434,"degree":414,"honor":10,"position":10,"researchDirection":470,"intro":471,"province":395,"completeness":472,"avatarAuthorized":396,"sourceUrl":473,"nameValid":398,"tags":474,"tagNames":475},"7384184e-2db7-657a-d75a-29e51d07c366","黄哲","长安大学未来交通学院","3D目标检测与跟踪，多智能体协同感知，自动驾驶，计算机视觉，大模型应用","毕业于中国人民大学信息学院，2025年6月获工学博士学位。现为长安大学未来交通学院讲师。主要研究方向为3D目标检测、自动驾驶、多智能体协作感知以及大模型应用等。在国际会议或顶级期刊如TMM、CVPR、ACM MM、ICRA，ADVEI等发表多篇论文。与中国人民大学，北京航空航天大学，中国科学院自动化研究所，University of Wollongong等多个课题组建立了广泛的合作研究。长期招收计算机、数学、交通等专业并符合以下条件的学生：•   期望要求：学习能力强，英文听说读写能力好，编程能力强，独立思考，对上述方向感兴趣。•   加分项目：有科研论文发表、投稿、或重要比赛获奖经历的优先。•   联系方式：欢迎发送简历或自我介绍到：huangzhe21@chd.edu.cn，欢迎联系。 \n                                \n                                \n                                    \n                                         社会职务",86,"http:\u002F\u002Fjs.chd.edu.cn\u002Fjiaotong\u002Fhz1\u002Flist.htm",[],[],{"id":477,"name":478,"orgName":479,"school":480,"gender":390,"title":413,"degree":10,"honor":10,"position":10,"researchDirection":481,"intro":482,"province":10,"completeness":483,"avatarAuthorized":396,"sourceUrl":484,"nameValid":398,"tags":485,"tagNames":510},"73b8258c-b534-4c58-afe8-6acc28627103","陈祖希","华侨大学计算机科学与技术学院","华侨大学","面向轨道交通智能运行控制系统的可信性建模与分析；面向轨道交通智能运行控制系统的可信性建模与分析；基于机器学习的轨道交通控制系统故障诊断算法设计；基于机器学习的轨道交通控制系统故障诊断算法设计；面向轨道交通的信息安全和功能安全分析技术研究；面向轨道交通的信息安全和功能安全分析技术研究；基于多智能体路径规划算法的轨道交通进路优化应用研究；基于多智能体路径规划算法的轨道交通进路优化应用研究","【产业方向】人工智能，华侨大学，面向轨道交通智能运行控制系统的可信性建模与分析；面向轨道交通智能运行控制系统的可信性建模与分析；基于机器学习的轨道交通控制系统故障诊断算法设计；基于机器学习的轨道交通控制系统故障诊断算法设计；面向轨道交通的信息安全和功能安全分析技术研究；面",77,"https:\u002F\u002Ffaculty.hqu.edu.cn\u002FCZX123\u002Fzh_CN\u002Findex.htm",[486,489,492,495,498,501,504,507],{"code":487,"name":488},"GB-37","铁路、船舶、航空航天和其他运输设备制造业",{"code":490,"name":491},"GB-39","计算机、通信和其他电子设备制造业",{"code":493,"name":494},"GB-73","研究和试验发展",{"code":496,"name":497},"SEI-01","新一代信息技术产业",{"code":499,"name":500},"SEI-02","高端装备制造产业",{"code":502,"name":503},"CH-28","交通",{"code":505,"name":506},"CH-33","人工智能",{"code":508,"name":509},"CH-39","网络与数据安全",[488,491,494,497,500,503,506,509],{"id":512,"name":513,"orgName":514,"school":514,"gender":10,"title":413,"degree":10,"honor":10,"position":10,"researchDirection":515,"intro":516,"province":517,"completeness":483,"avatarAuthorized":396,"sourceUrl":518,"nameValid":398,"tags":519,"tagNames":534},"3946b918-cea0-4ea8-ac90-06429d56e7ae","杜城龙","中南大学","控制理论；多智能体 强化学习；分布式控制与优化；智慧交通能源一体化；低空飞行安全管控；大飞机起降控制技术等 ，在自动控制；航空；机电；能源领域的 国际顶级期刊","【产业方向】装备制造，中南大学，控制理论；多智能体 强化学习；分布式控制与优化；智慧交通能源一体化；低空飞行安全管控；大飞机起降控制技术等 ，在自动控制；航空；机电；能源领域的 国际顶级期刊","湖南","http:\u002F\u002Ffaculty.csu.edu.cn\u002Fduchenglong1\u002Fzh_CN\u002Findex.htm",[520,523,526,529,530,533],{"code":521,"name":522},"GB-56","航空运输业",{"code":524,"name":525},"CH-09","航空航天",{"code":527,"name":528},"CH-11","低空经济",{"code":502,"name":503},{"code":531,"name":532},"CH-30","制造",{"code":508,"name":509},[522,525,528,503,532,509],{"id":536,"name":537,"orgName":538,"school":389,"gender":390,"title":434,"degree":392,"honor":10,"position":10,"researchDirection":539,"intro":540,"province":395,"completeness":483,"avatarAuthorized":396,"sourceUrl":541,"nameValid":398,"tags":542,"tagNames":543},"c1d7362c-77f7-a0c4-bcb8-55cd4b29d257","王明辉","长安大学理学院","线性系统、多智能体系统","王明辉，长安大学，线性系统、多智能体系统。","http:\u002F\u002Fjs.chd.edu.cn\u002Flxy\u002Fwmh\u002Flist.htm",[],[],{"id":545,"name":546,"orgName":388,"school":389,"gender":390,"title":434,"degree":392,"honor":10,"position":10,"researchDirection":547,"intro":548,"province":395,"completeness":483,"avatarAuthorized":396,"sourceUrl":549,"nameValid":398,"tags":550,"tagNames":559},"f1919eef-6781-bea6-3033-15453339b2da","左龙","本人及团队成员主要从事娱乐计算，智能体博弈算法，路径规划，游戏设计与评估，游戏化与严肃游戏等相关领域的研究与应用。1. 专业级MOBA类游戏胜率的预测赛前预测与实时预测2.王者荣耀的智能体博弈算法（腾讯开悟平台）（1）迷宫寻宝任务：含起点、终点、道路、障碍物和宝箱。 难点：强化学习的基础入门知识以及路径规划的算法（2）王者荣耀1V1环节中完成单智能体博弈算法的研究。难点：单智能体博弈算法以及在算法过程中设计奖励算法函数、分布式强化学习开发框架、模型泛化性（3）多智能体算法博弈，每队控制2个智能体及1个系统内置智能体，对抗对方队伍难点：多智能体博弈算法、复杂特征处理及复杂模型结构，包括模型的泛化性以及AI与别的AI之间如何协作前沿行业难题3.复杂场景下的高效寻路算法4.游戏化（Gamification），严肃游戏（Serious Game），自适应学习(Adaptive Learning)","2019年于JAIST（Japan Advanced Institute of Science and Technology）获得信息科学博士学位期间于大阪大学与西安电子科大学完成博士副课题研究主要研究方向是路径规划，游戏化，娱乐计算（游戏场景中的时间序列预测），油田数字化等方面的研究攻读博士与入职期间共发表论文20余篇，其中SCI检索期刊4篇，中文核心期刊2篇，EI检索会议论文17篇。主持\u002F参与纵向横向项目共4项入职以来获得陕西省科技进步奖两项，中国石油化工联合会科技进步奖一项；长安大学优秀个人，优秀共产党员，优秀暑期实践指导老师等荣誉称号每年计划招生2-4名，欢迎电子信息，计算机科学，软件工程方向的同学加入New!今年的保研名额已招满 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     美国石油工程师协会SPE会员日本超人物流株式会社 物流技术总监IEEE Transaction on Intelligent Transportation System， IEEE Internet of Things Magazine， Multimedia Tools and Applications 和《非常规油气》等期刊审稿人","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fzl_9944\u002Flist.htm",[551,554,555,558],{"code":552,"name":553},"GB-48","土木工程建筑业",{"code":493,"name":494},{"code":556,"name":557},"GB-90","娱乐业",{"code":505,"name":506},[553,494,557,506],{"id":561,"name":562,"orgName":563,"school":563,"gender":10,"title":413,"degree":10,"honor":10,"position":10,"researchDirection":564,"intro":565,"province":566,"completeness":483,"avatarAuthorized":396,"sourceUrl":567,"nameValid":398,"tags":568,"tagNames":574},"ff255551-1de0-45fe-85d6-553f39b20664","李王明卉","同济大学","分布式异构算力高效泛在协同调度理论与技术；面向存算\u002F通感一体化的高效分布式机器学习架构及机制；面向复杂异构任务及环境的多智能体高效协同方法","【产业方向】人工智能，同济大学，分布式异构算力高效泛在协同调度理论与技术；面向存算\u002F通感一体化的高效分布式机器学习架构及机制；面向复杂异构任务及环境的多智能体高效协同方法","上海","http:\u002F\u002Ffaculty.tongji.edu.cn\u002Fliwangminghui\u002Fzh_CN\u002Findex.htm",[569,570,571],{"code":496,"name":497},{"code":505,"name":506},{"code":572,"name":573},"CH-34","云计算\u002F算力",[497,506,573],{"id":576,"name":577,"orgName":578,"school":579,"gender":390,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":580,"intro":581,"province":395,"completeness":141,"avatarAuthorized":396,"sourceUrl":582,"nameValid":398,"tags":583,"tagNames":593},"ef966e56-2240-4505-97ff-a6050b89c6bd","卢明飞","西安建筑科技大学人工智能与机器人学院","西安建筑科技大学","统计机器学习；智能信息处理；模式识别与智能控制；多元广义度量理论与应用（多视图学习；多源域自适应；多目标聚类；多智能体强化学习；多任务学习；联邦学习","【产业方向】人工智能，西安建筑科技大学，统计机器学习；智能信息处理；模式识别与智能控制；多元广义度量理论与应用（多视图学习；多源域自适应；多目标聚类；多智能体强化学习；多任务学习；联邦学习","https:\u002F\u002Ffaculty.xauat.edu.cn\u002Flumingfei\u002Fzh_CN\u002Findex.htm",[584,585,586,589,592],{"code":496,"name":497},{"code":499,"name":500},{"code":587,"name":588},"CH-20","高端装备",{"code":590,"name":591},"CH-27","建筑",{"code":505,"name":506},[497,500,588,591,506],{"id":595,"name":596,"orgName":597,"school":598,"gender":390,"title":413,"degree":10,"honor":10,"position":10,"researchDirection":599,"intro":600,"province":601,"completeness":141,"avatarAuthorized":396,"sourceUrl":602,"nameValid":398,"tags":603,"tagNames":610},"5dc1b7b2-2c6d-498c-a2e0-8b3846fb8930","涂晓彤","厦门大学人工智能研究院","厦门大学","信号处理、多智能体、声场成像、异常检测；信号处理、多智能体、声场成像、异常检测","【产业方向】电子信息，厦门大学，信号处理、多智能体、声场成像、异常检测；信号处理、多智能体、声场成像、异常检测","福建","https:\u002F\u002Ffaculty.xmu.edu.cn\u002FTXT\u002Fzh_CN\u002Findex.htm",[604,605,608,609],{"code":493,"name":494},{"code":606,"name":607},"GB-74","专业技术服务业",{"code":496,"name":497},{"code":505,"name":506},[494,607,497,506],{"id":612,"name":613,"orgName":514,"school":514,"gender":10,"title":614,"degree":10,"honor":10,"position":10,"researchDirection":615,"intro":616,"province":517,"completeness":141,"avatarAuthorized":396,"sourceUrl":617,"nameValid":398,"tags":618,"tagNames":621},"e5fd857c-b2c3-4814-ae8d-74f7354e1529","刘承光","副研究员","[1] 多智能体辩论","【产业方向】人工智能，中南大学，[1] 多智能体辩论","http:\u002F\u002Ffaculty.csu.edu.cn\u002Fliuchengguang\u002Fzh_CN\u002Findex.htm",[619,620],{"code":496,"name":497},{"code":505,"name":506},[497,506],{"id":623,"name":624,"orgName":625,"school":626,"gender":10,"title":413,"degree":10,"honor":10,"position":10,"researchDirection":627,"intro":628,"province":629,"completeness":141,"avatarAuthorized":396,"sourceUrl":630,"nameValid":398,"tags":631,"tagNames":645},"a0b3d0e6-fdd9-40eb-8cf7-3b3aecaed100","白羽","合肥工业大学管理与智能科学学院（智能商学院）","合肥工业大学","[1] 基于大模型多智能体的数据系统工程；基于多模态大数据的资源、环境、经济态势感知；企业多模态大数据挖掘","【产业方向】能源环保，合肥工业大学，[1] 基于大模型多智能体的数据系统工程；基于多模态大数据的资源、环境、经济态势感知；企业多模态大数据挖掘","安徽","http:\u002F\u002Ffaculty.hfut.edu.cn\u002Fby1\u002Fzh_CN\u002Findex.htm",[632,635,636,639,640,642],{"code":633,"name":634},"GB-77","生态保护和环境治理业",{"code":496,"name":497},{"code":637,"name":638},"CH-22","绿色环保",{"code":505,"name":506},{"code":641,"name":117},"CH-35",{"code":643,"name":644},"FU-08","生成式人工智能",[634,497,638,506,117,644],{"id":647,"name":648,"orgName":514,"school":514,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":649,"intro":650,"province":517,"completeness":141,"avatarAuthorized":396,"sourceUrl":651,"nameValid":398,"tags":652,"tagNames":655},"dfc6ef39-2574-4e5a-ac95-1abf8d4666a5","年晓红","[1] 多智能体系统分布式优化与博弈","【产业方向】能源环保，中南大学，[1] 多智能体系统分布式优化与博弈","http:\u002F\u002Ffaculty.csu.edu.cn\u002FXiaohongNian\u002Fzh_CN\u002Findex.htm",[653,654],{"code":633,"name":634},{"code":637,"name":638},[634,638],{"id":657,"name":658,"orgName":659,"school":659,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":660,"intro":661,"province":10,"completeness":141,"avatarAuthorized":396,"sourceUrl":662,"nameValid":398,"tags":663,"tagNames":668},"dfe30822-cf1a-4aa3-b15e-b4fc7cbe261b","宋公飞","南京信息工程大学","目前主要从事复杂气象环境下无人机控制；无人车智能控制及编队控制；水下自主无人系统指挥控制；非线性系统随机控制、随机多智能体系统控制等研究。 科研成果： 期刊","【产业方向】装备制造，南京信息工程大学，目前主要从事复杂气象环境下无人机控制；无人车智能控制及编队控制；水下自主无人系统指挥控制；非线性系统随机控制、随机多智能体系统控制等研究。 科研成果： 期刊","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fsonggongfei\u002Fzh_CN\u002Findex.htm",[664,665,666,667],{"code":493,"name":494},{"code":606,"name":607},{"code":524,"name":525},{"code":531,"name":532},[494,607,525,532],{"id":670,"name":671,"orgName":388,"school":389,"gender":390,"title":672,"degree":392,"honor":10,"position":10,"researchDirection":673,"intro":674,"province":395,"completeness":141,"avatarAuthorized":396,"sourceUrl":675,"nameValid":398,"tags":676,"tagNames":677},"d3f271eb-0827-1102-434a-9b5bf77f93a8","王武祺","","自动驾驶与机器人定位\n面向复杂开放环境下智能汽车与机器人的自主定位与SLAM，研究激光雷达环境表征、位置重识别、闭环检测、点云配准及多传感器融合定位等方法，关注动态干扰、视角变化、天气光照变化和长期环境演化条件下的稳定定位、地图匹配与跨时间环境适应。\n自动驾驶测试与评价\n面向自动驾驶系统安全性与可靠性验证，研究测试场景构建、复杂场景生成、虚实融合测试、感知与定位测试及实车验证方法。依托仿真平台、封闭试验场和实车平台，开展场景设计、数据采集、功能测试、风险分析与结果评价等研究。\n人因智能与大语言模型\n研究人因智能、大语言模型及智能体技术在智能驾驶与机器人系统中的应用，关注人机交互、多模态环境理解、复杂任务推理和多智能体协同，探索视觉、激光雷达等多源感知信息与大模型融合，以及面向场景理解、行为决策和智能体协作的新型方法。\n智能系统数据与数据集\n面向智能汽车与机器人研究中的真实数据需求，开展激光雷达、相机、组合导航等多传感器数据采集、同步、标定、质量控制及数据集构建，重点关注昼夜变化、复杂交通环境、长期环境变化和典型困难场景，为定位、感知、测试及智能模型研究提供数据基础","主要从事智能汽车自主定位、激光雷达环境感知、多传感器融合及自动驾驶测试评价等方面研究，研究内容包括激光雷达环境表征、位置重识别、闭环检测、车辆定位、多源信息融合、复杂环境实车验证，并关注人因智能与大语言模型在智能驾驶和智能交通中的应用。已发表学术论文28篇，相关成果发表于IEEE T-ITS、Information Fusion、IEEE T-VT、IEEE IoT Journal、IEEE RA-L、ICRA、ICML等期刊和会议。参与国家重点研发计划、国家自然科学基金重点项目和面上项目等科研工作，主持撰写相关知识产权19项，并参与“信达号”无人驾驶汽车、移动背包测试平台及自动驾驶数据集建设。指导学生或负责科技竞赛获奖30余项。曾赴新加坡科技研究局（A*STAR）公派访学一年，担任ICAUS、ICoADI等国际会议Session Co-Chair\u002FSession Chair。如果你对自动驾驶、机器人、激光雷达、大模型、多智能体，或者“怎么让机器在真实世界里别迷路”这些问题感兴趣，欢迎来聊。这里不要求你一开始什么都会，毕竟老师自己也经常一边做一边学。常年招收研究生，有想法就来，欢迎本科生、研究生来交流。 \n                                \n                                \n                                    \n                                         社会职务","http:\u002F\u002Fjs.chd.edu.cn\u002Fxxgcxy\u002Fwwq1\u002Flist.htm",[],[],{"id":679,"name":680,"orgName":681,"school":10,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":682,"intro":683,"province":10,"completeness":217,"avatarAuthorized":396,"sourceUrl":684,"nameValid":398,"tags":685,"tagNames":686},"cmv7rhq25013zhiky3f7lponp","全权","北京航空航天大学","无人机飞行控制与多智能体协同","全权，北京航空航天大学，无人机飞行控制与多智能体协同。","chaingraph:\u002F\u002F全权",[],[],{"id":688,"name":689,"orgName":690,"school":691,"gender":10,"title":413,"degree":10,"honor":10,"position":10,"researchDirection":692,"intro":693,"province":395,"completeness":288,"avatarAuthorized":396,"sourceUrl":694,"nameValid":398,"tags":695,"tagNames":714},"104208ba-a129-43b1-9146-8eeef10d4743","徐亦飞","西安交通大学软件学院","西安交通大学","高光谱图像处理：高光谱图像分类、解混及识别， 高光谱图像的深度语义分析；深度学习：视频内容理解及视频摘要生成、视频动作识别，视频修复与生成，多模态知识图谱；图像领域：图像自动美化、图像增强，图像超分；交叉学科：农作物田间病虫害食品检测及其分析，田间杂草识别，无人机，多智能体协同","【产业方向】信息技术，西安交通大学，高光谱图像处理：高光谱图像分类、解混及识别， 高光谱图像的深度语义分析；深度学习：视频内容理解及视频摘要生成、视频动作识别，视频修复与生成，多模态知识图谱；图像领域：图像自动美化、图像增强，图像超分；交叉学科：农作物田间病虫害食品检测及其分","https:\u002F\u002Fgr.xjtu.edu.cn\u002Fbelonxu_1\u002Fzh_CN\u002Findex.htm",[696,699,702,705,706,707,708,711,712,713],{"code":697,"name":698},"GB-01","农业",{"code":700,"name":701},"GB-14","食品制造业",{"code":703,"name":704},"GB-65","软件和信息技术服务业",{"code":606,"name":607},{"code":496,"name":497},{"code":524,"name":525},{"code":709,"name":710},"CH-17","新一代信息技术",{"code":502,"name":503},{"code":505,"name":506},{"code":643,"name":644},[698,701,704,607,497,525,710,503,506,644],{"id":716,"name":717,"orgName":659,"school":659,"gender":10,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":718,"intro":719,"province":10,"completeness":720,"avatarAuthorized":396,"sourceUrl":721,"nameValid":398,"tags":722,"tagNames":725},"a02e9206-3775-4433-a12e-bfa93a859691","苗国英","多智能体系统的协同控制；时滞系统的稳定分析与控制器设计；编队控制；图像处理 科研成果： 期刊","【产业方向】人工智能，南京信息工程大学，多智能体系统的协同控制；时滞系统的稳定分析与控制器设计；编队控制；图像处理 科研成果： 期刊",67,"https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fmiaoguoying\u002Fzh_CN\u002Findex.htm",[723,724],{"code":496,"name":497},{"code":505,"name":506},[497,506],{"id":727,"name":728,"orgName":729,"school":730,"gender":10,"title":434,"degree":10,"honor":10,"position":10,"researchDirection":731,"intro":732,"province":733,"completeness":720,"avatarAuthorized":396,"sourceUrl":734,"nameValid":398,"tags":735,"tagNames":739},"96d445de-7274-45fb-9d8e-2d51036650a9","杜昕祺","大连理工大学控制科学与工程学院","大连理工大学","人工智能，机器学习， 强化学习， 多智能体系统，智能控制等。参与多项国家级；省部级课题研究。在IEEE TKDE；IEEE IOTJ；PR；ESWA；INS等国内外重要期刊和会议","【产业方向】人工智能，大连理工大学，人工智能，机器学习， 强化学习， 多智能体系统，智能控制等。参与多项国家级；省部级课题研究。在IEEE TKDE；IEEE IOTJ；PR；ESWA；INS等国内外重要期刊和会议","辽宁","http:\u002F\u002Ffaculty.dlut.edu.cn\u002Fduxinqi\u002Fzh_CN\u002Findex.htm",[736,737,738],{"code":493,"name":494},{"code":496,"name":497},{"code":505,"name":506},[494,497,506],{"id":741,"name":742,"orgName":743,"school":659,"gender":390,"title":434,"degree":10,"honor":10,"position":10,"researchDirection":744,"intro":745,"province":10,"completeness":720,"avatarAuthorized":396,"sourceUrl":746,"nameValid":398,"tags":747,"tagNames":751},"3066f241-46f9-4fd5-a702-b5a9c97633fd","赵博程","人工智能学院（未来技术学院）（人工智能产业学院）","多智能体系统决策博弈；无人机集群规划及控制；航天器地面模拟试验技术。以第一或通讯作者身份","【产业方向】人工智能，南京信息工程大学，多智能体系统决策博弈；无人机集群规划及控制；航天器地面模拟试验技术。以第一或通讯作者身份","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fzhaobocheng\u002Fzh_CN\u002Findex.htm",[748,749,750],{"code":496,"name":497},{"code":524,"name":525},{"code":505,"name":506},[497,525,506],{"id":753,"name":754,"orgName":659,"school":659,"gender":10,"title":413,"degree":10,"honor":10,"position":10,"researchDirection":755,"intro":756,"province":10,"completeness":720,"avatarAuthorized":396,"sourceUrl":757,"nameValid":398,"tags":758,"tagNames":768},"be2c1cbc-c190-415a-b252-663e1599d2f1","杨博","智能机器人自主感知；定位与导航。具体包含视觉；惯性；超宽带；三维激光雷达等多源信息的智能融合；多智能体的协同感知等算法研究。 以第一 \u002F 通讯作者身份 在 IEEE SENS J；T-IM；ICRA 等知名期刊和领域顶会上","【产业方向】人工智能，南京信息工程大学，智能机器人自主感知；定位与导航。具体包含视觉；惯性；超宽带；三维激光雷达等多源信息的智能融合；多智能体的协同感知等算法研究。 以第一 \u002F 通讯作者身份 在 IEEE SENS J；T-IM；ICRA 等知名期刊和领域顶会上","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fyangbo1234\u002Fzh_CN\u002Findex.htm",[759,760,761,762,763,766,767],{"code":490,"name":491},{"code":493,"name":494},{"code":496,"name":497},{"code":499,"name":500},{"code":764,"name":765},"CH-08","集成电路",{"code":587,"name":588},{"code":505,"name":506},[491,494,497,500,765,588,506],{"id":770,"name":771,"orgName":659,"school":659,"gender":390,"title":434,"degree":10,"honor":10,"position":10,"researchDirection":772,"intro":773,"province":10,"completeness":720,"avatarAuthorized":396,"sourceUrl":774,"nameValid":398,"tags":775,"tagNames":781},"2ef9a2e1-a202-44a9-8240-b8821d0bd615","许沛澜","群体智能与进化计算；多目标与多方优化；进化强化学习及多智能体协同决策。近年来在IEEE TEVC；ACM TELO，以及ACL；ACM MM等国际顶级期刊和学术会议上","【产业方向】人工智能，南京信息工程大学，群体智能与进化计算；多目标与多方优化；进化强化学习及多智能体协同决策。近年来在IEEE TEVC；ACM TELO，以及ACL；ACM MM等国际顶级期刊和学术会议上","https:\u002F\u002Ffaculty.nuist.edu.cn\u002Fxupeilan\u002Fzh_CN\u002Findex.htm",[776,777,780],{"code":496,"name":497},{"code":778,"name":779},"CH-21","新能源汽车",{"code":505,"name":506},[497,779,506],{"id":783,"name":784,"orgName":785,"school":691,"gender":390,"title":391,"degree":10,"honor":10,"position":10,"researchDirection":786,"intro":787,"province":395,"completeness":788,"avatarAuthorized":396,"sourceUrl":789,"nameValid":398,"tags":790,"tagNames":816},"6fa9f420-9a4d-455d-a0f5-0afbfb1879f3","王博辉","西安交通大学网络空间安全学院","人工智能算法分布式应用安全；AI分布式算法与车联网安全；信息物理融合系统集群与安全；智能电网与能源系统存储融控；医疗大数据与医疗机器人开发；多智能体协同控制与集群安全；城市无人系统集群感知与控制；无人系统安全态势感知与预测；无人系统自主决策与自主控制；机器人系统集群控制与安全；智能信息处理与智能协同控制；模型预测控制及智能控制理论；主要从事人工智能算法分布式应用安全、信息物理融合系统建模、调度、控制与优化、通用人工智能与自动驾驶等方面的研究及应用工作；业绩简述","【产业方向】信息技术，西安交通大学，人工智能算法分布式应用安全；AI分布式算法与车联网安全；信息物理融合系统集群与安全；智能电网与能源系统存储融控；医疗大数据与医疗机器人开发；多智能体协同控制与集群安全；城市无人系统集群感知与控制；无人系统安全态势感知与预测；无人系统自主决策",64,"https:\u002F\u002Fgr.xjtu.edu.cn\u002Fwangbh\u002Fzh_CN\u002Findex.htm",[791,794,795,798,799,800,803,804,805,808,809,810,811,812,815],{"code":792,"name":793},"GB-44","电力、热力生产和供应业",{"code":493,"name":494},{"code":796,"name":797},"GB-84","卫生",{"code":496,"name":497},{"code":499,"name":500},{"code":801,"name":802},"SEI-06","新能源产业",{"code":709,"name":710},{"code":587,"name":588},{"code":806,"name":807},"CH-26","电力",{"code":502,"name":503},{"code":505,"name":506},{"code":641,"name":117},{"code":508,"name":509},{"code":813,"name":814},"FU-02","未来信息",{"code":643,"name":644},[793,494,797,497,500,802,710,588,807,503,506,117,509,814,644],{"id":818,"name":819,"orgName":452,"school":389,"gender":390,"title":434,"degree":414,"honor":10,"position":10,"researchDirection":820,"intro":821,"province":395,"completeness":121,"avatarAuthorized":396,"sourceUrl":822,"nameValid":398,"tags":823,"tagNames":824},"41e8bb17-3b73-f369-fa77-a254c7129a53","赵振轶","1.多智能体系统2.无人车路径规划与自主控制","赵振轶，长安大学，1.多智能体系统2.无人车路径规划与自主控制。","http:\u002F\u002Fjs.chd.edu.cn\u002Fqcxy\u002Fzzy1\u002Flist.htm",[],[],38,1,2,{"schools":829},294,[831,1037,1112,1763],{"group":832,"code":832,"name":833,"count":207,"tags":834},"CHAIN","产业链环节",[835,842,849,855,861,867,873,879,884,888,895,900,906,912,915,920,924,928,934,939,943,947,952,957,963,970,973,978,982,987,992,998,1002,1006,1011,1016,1021,1026,1032],{"code":836,"name":837,"group":832,"gb4754":10,"parent":10,"aliases":838,"expertCount":841},"CH-01","量子科技",[839,840],"量子","量子计算",179,{"code":843,"name":844,"group":832,"gb4754":10,"parent":10,"aliases":845,"expertCount":848},"CH-02","生物制造",[846,847],"合成生物制造","生物基制造",16,{"code":850,"name":851,"group":832,"gb4754":10,"parent":10,"aliases":852,"expertCount":720},"CH-03","氢能与核聚变能",[853,854],"氢能","核聚变",{"code":856,"name":857,"group":832,"gb4754":10,"parent":10,"aliases":858,"expertCount":33},"CH-04","脑机接口",[859,860],"脑机","脑机交互",{"code":862,"name":863,"group":832,"gb4754":10,"parent":10,"aliases":864,"expertCount":866},"CH-05","具身智能",[865],"具身智能机器人",48,{"code":868,"name":869,"group":832,"gb4754":10,"parent":10,"aliases":870,"expertCount":872},"CH-06","6G",[871],"第六代通信",25,{"code":874,"name":875,"group":832,"gb4754":10,"parent":10,"aliases":876,"expertCount":878},"CH-07","未来能源",[877],"未来能源技术",13,{"code":764,"name":765,"group":832,"gb4754":10,"parent":10,"aliases":880,"expertCount":883},[881,882],"芯片","半导体",666,{"code":524,"name":525,"group":832,"gb4754":10,"parent":10,"aliases":885,"expertCount":887},[886],"航空航天制造",706,{"code":889,"name":890,"group":832,"gb4754":10,"parent":10,"aliases":891,"expertCount":894},"CH-10","生物医药",[892,893],"医药","生物药",1016,{"code":527,"name":528,"group":832,"gb4754":10,"parent":10,"aliases":896,"expertCount":899},[897,898],"低空","低空飞行",26,{"code":901,"name":902,"group":832,"gb4754":10,"parent":10,"aliases":903,"expertCount":905},"CH-12","新型显示",[904],"显示面板",5,{"code":907,"name":908,"group":832,"gb4754":10,"parent":10,"aliases":909,"expertCount":911},"CH-13","新材料",[910],"先进材料",1262,{"code":913,"name":98,"group":832,"gb4754":10,"parent":10,"aliases":914,"expertCount":826},"CH-14",[98],{"code":916,"name":917,"group":832,"gb4754":10,"parent":10,"aliases":918,"expertCount":20},"CH-15","深海科技",[919],"深海",{"code":921,"name":79,"group":832,"gb4754":10,"parent":10,"aliases":922,"expertCount":56},"CH-16",[79,923],"星座",{"code":709,"name":710,"group":832,"gb4754":10,"parent":10,"aliases":925,"expertCount":927},[926],"新一代IT",321,{"code":929,"name":930,"group":832,"gb4754":10,"parent":10,"aliases":931,"expertCount":933},"CH-18","生物技术",[932],"生物科技",201,{"code":935,"name":936,"group":832,"gb4754":10,"parent":10,"aliases":937,"expertCount":938},"CH-19","新能源",[936],581,{"code":587,"name":588,"group":832,"gb4754":10,"parent":10,"aliases":940,"expertCount":942},[941],"高端装备制造",587,{"code":778,"name":779,"group":832,"gb4754":10,"parent":10,"aliases":944,"expertCount":70},[945,946],"电动车","EV",{"code":637,"name":638,"group":832,"gb4754":10,"parent":10,"aliases":948,"expertCount":951},[949,950],"环保","绿色低碳",1145,{"code":953,"name":954,"group":832,"gb4754":10,"parent":10,"aliases":955,"expertCount":146},"CH-23","海洋装备",[956],"海洋工程装备",{"code":958,"name":959,"group":832,"gb4754":10,"parent":10,"aliases":960,"expertCount":962},"CH-24","现代农业",[961,698],"智慧农业",2432,{"code":964,"name":965,"group":832,"gb4754":10,"parent":10,"aliases":966,"expertCount":969},"CH-25","采矿",[967,968],"矿业","矿山",378,{"code":806,"name":807,"group":832,"gb4754":10,"parent":10,"aliases":971,"expertCount":202},[972],"电力行业",{"code":590,"name":591,"group":832,"gb4754":10,"parent":10,"aliases":974,"expertCount":977},[975,976],"建筑业","建造",975,{"code":502,"name":503,"group":832,"gb4754":10,"parent":10,"aliases":979,"expertCount":981},[980],"交通运输",3617,{"code":983,"name":984,"group":832,"gb4754":10,"parent":10,"aliases":985,"expertCount":483},"CH-29","金融",[986],"金融业",{"code":531,"name":532,"group":832,"gb4754":10,"parent":10,"aliases":988,"expertCount":991},[989,990],"制造业","先进制造",668,{"code":993,"name":994,"group":832,"gb4754":10,"parent":10,"aliases":995,"expertCount":997},"CH-31","石油化工",[996],"石化",253,{"code":999,"name":1000,"group":832,"gb4754":10,"parent":10,"aliases":1001,"expertCount":33},"CH-32","消费电子",[1000],{"code":505,"name":506,"group":832,"gb4754":10,"parent":10,"aliases":1003,"expertCount":1005},[1004],"AI",1668,{"code":572,"name":573,"group":832,"gb4754":10,"parent":10,"aliases":1007,"expertCount":1010},[1008,1009],"云计算","算力",56,{"code":641,"name":117,"group":832,"gb4754":10,"parent":10,"aliases":1012,"expertCount":1015},[1013,1014],"大数据","数据要素",271,{"code":1017,"name":1018,"group":832,"gb4754":10,"parent":10,"aliases":1019,"expertCount":1020},"CH-36","工业互联网",[1018],14,{"code":1022,"name":1023,"group":832,"gb4754":10,"parent":10,"aliases":1024,"expertCount":234},"CH-37","物联网",[1025],"IoT",{"code":1027,"name":1028,"group":832,"gb4754":10,"parent":10,"aliases":1029,"expertCount":1031},"CH-38","区块链",[1030],"Blockchain",19,{"code":508,"name":509,"group":832,"gb4754":10,"parent":10,"aliases":1033,"expertCount":1036},[1034,1035],"网络安全","安全",480,{"group":46,"code":46,"name":45,"count":1020,"tags":1038},[1039,1045,1049,1054,1057,1062,1068,1074,1080,1085,1091,1097,1102,1107],{"code":1040,"name":1041,"group":46,"gb4754":10,"parent":10,"aliases":1042,"expertCount":1044},"FU-01","未来制造",[1043],"未来制造技术",23,{"code":813,"name":814,"group":46,"gb4754":10,"parent":10,"aliases":1046,"expertCount":1048},[1047],"未来信息技术",29,{"code":1050,"name":1051,"group":46,"gb4754":10,"parent":10,"aliases":1052,"expertCount":1053},"FU-03","未来材料",[1051],184,{"code":1055,"name":875,"group":46,"gb4754":10,"parent":10,"aliases":1056,"expertCount":1044},"FU-04",[877],{"code":1058,"name":1059,"group":46,"gb4754":10,"parent":10,"aliases":1060,"expertCount":905},"FU-05","未来空间",[1061],"未来空间技术",{"code":1063,"name":1064,"group":46,"gb4754":10,"parent":10,"aliases":1065,"expertCount":1067},"FU-06","未来健康",[1066],"未来健康技术",0,{"code":1069,"name":1070,"group":46,"gb4754":10,"parent":10,"aliases":1071,"expertCount":1073},"FU-07","元宇宙",[1072],"Metaverse",68,{"code":643,"name":644,"group":46,"gb4754":10,"parent":10,"aliases":1075,"expertCount":1079},[1076,1077,1078],"AIGC","生成式AI","通用人工智能",151,{"code":1081,"name":1082,"group":46,"gb4754":10,"parent":10,"aliases":1083,"expertCount":32},"FU-09","合成生物学",[1084],"合成生物",{"code":1086,"name":1087,"group":46,"gb4754":10,"parent":10,"aliases":1088,"expertCount":1031},"FU-10","基因与细胞治疗",[1089,1090],"细胞治疗","基因治疗",{"code":1092,"name":1093,"group":46,"gb4754":10,"parent":10,"aliases":1094,"expertCount":1096},"FU-11","新型储能",[1095],"储能",106,{"code":1098,"name":1099,"group":46,"gb4754":10,"parent":10,"aliases":1100,"expertCount":83},"FU-12","钙钛矿光伏",[1101],"钙钛矿",{"code":1103,"name":1104,"group":46,"gb4754":10,"parent":10,"aliases":1105,"expertCount":163},"FU-13","第三代半导体",[1104,1106],"宽禁带半导体",{"code":1108,"name":1109,"group":46,"gb4754":10,"parent":10,"aliases":1110,"expertCount":83},"FU-14","类脑智能",[1111],"类脑计算",{"group":1113,"code":1113,"name":1114,"count":1115,"tags":1116},"GB4754","国民经济行业分类",97,[1117,1124,1132,1139,1146,1152,1160,1167,1174,1180,1186,1192,1198,1206,1210,1217,1223,1230,1237,1243,1249,1255,1261,1267,1274,1282,1290,1297,1303,1309,1316,1323,1331,1337,1343,1349,1356,1361,1369,1376,1384,1390,1397,1404,1410,1417,1424,1432,1438,1444,1451,1459,1465,1473,1480,1487,1493,1499,1506,1513,1520,1528,1534,1542,1548,1554,1562,1570,1576,1582,1589,1596,1604,1611,1616,1623,1631,1636,1643,1649,1656,1662,1668,1676,1682,1688,1695,1701,1708,1713,1717,1724,1732,1738,1744,1751,1757],{"code":697,"name":698,"group":1113,"gb4754":1118,"parent":1119,"aliases":1120,"expertCount":1123},"01","A",[1121,1122],"农林种植","种植业",2435,{"code":1125,"name":1126,"group":1113,"gb4754":1127,"parent":1119,"aliases":1128,"expertCount":1131},"GB-02","林业","02",[1129,1130],"营林","造林",131,{"code":1133,"name":1134,"group":1113,"gb4754":1135,"parent":1119,"aliases":1136,"expertCount":13},"GB-03","畜牧业","03",[1137,1138],"养殖","畜禽养殖",{"code":1140,"name":1141,"group":1113,"gb4754":1142,"parent":1119,"aliases":1143,"expertCount":83},"GB-04","渔业","04",[1144,1145],"水产","水产养殖",{"code":1147,"name":1148,"group":1113,"gb4754":1149,"parent":1119,"aliases":1150,"expertCount":1067},"GB-05","农、林、牧、渔专业及辅助性活动","05",[1151],"农林牧渔服务",{"code":1153,"name":1154,"group":1113,"gb4754":1155,"parent":1156,"aliases":1157,"expertCount":259},"GB-06","煤炭开采和洗选业","06","B",[1158,1159],"煤炭","煤矿",{"code":1161,"name":1162,"group":1113,"gb4754":1163,"parent":1156,"aliases":1164,"expertCount":240},"GB-07","石油和天然气开采业","07",[1165,1166],"油气开采","油气",{"code":1168,"name":1169,"group":1113,"gb4754":1170,"parent":1156,"aliases":1171,"expertCount":1173},"GB-08","黑色金属矿采选业","08",[1172],"铁矿采选",3,{"code":1175,"name":1176,"group":1113,"gb4754":1177,"parent":1156,"aliases":1178,"expertCount":259},"GB-09","有色金属矿采选业","09",[1179],"有色矿采选",{"code":1181,"name":1182,"group":1113,"gb4754":1183,"parent":1156,"aliases":1184,"expertCount":1173},"GB-10","非金属矿采选业","10",[1185],"非金属矿",{"code":1187,"name":1188,"group":1113,"gb4754":1189,"parent":1156,"aliases":1190,"expertCount":1067},"GB-11","开采专业及辅助性活动","11",[1191],"矿山服务",{"code":1193,"name":1194,"group":1113,"gb4754":1195,"parent":1156,"aliases":1196,"expertCount":1067},"GB-12","其他采矿业","12",[1197],"其他采矿",{"code":1199,"name":1200,"group":1113,"gb4754":1201,"parent":1202,"aliases":1203,"expertCount":1205},"GB-13","农副食品加工业","13","C",[1204],"农副食品",4,{"code":700,"name":701,"group":1113,"gb4754":1207,"parent":1202,"aliases":1208,"expertCount":202},"14",[1209],"食品制造",{"code":1211,"name":1212,"group":1113,"gb4754":1213,"parent":1202,"aliases":1214,"expertCount":826},"GB-15","酒、饮料和精制茶制造业","15",[1215,1216],"酒类饮料","茶饮",{"code":1218,"name":1219,"group":1113,"gb4754":1220,"parent":1202,"aliases":1221,"expertCount":826},"GB-16","烟草制品业","16",[1222],"烟草",{"code":1224,"name":1225,"group":1113,"gb4754":1226,"parent":1202,"aliases":1227,"expertCount":1067},"GB-17","纺织业","17",[1228,1229],"纺织","棉纺",{"code":1231,"name":1232,"group":1113,"gb4754":1233,"parent":1202,"aliases":1234,"expertCount":1067},"GB-18","纺织服装、服饰业","18",[1235,1236],"服装","服饰",{"code":1238,"name":1239,"group":1113,"gb4754":1240,"parent":1202,"aliases":1241,"expertCount":1067},"GB-19","皮革、毛皮、羽毛及其制品和制鞋业","19",[1242],"皮革制鞋",{"code":1244,"name":1245,"group":1113,"gb4754":1246,"parent":1202,"aliases":1247,"expertCount":1173},"GB-20","木材加工和木、竹、藤、棕、草制品业","20",[1248],"木材加工",{"code":1250,"name":1251,"group":1113,"gb4754":1252,"parent":1202,"aliases":1253,"expertCount":1067},"GB-21","家具制造业","21",[1254],"家具",{"code":1256,"name":1257,"group":1113,"gb4754":1258,"parent":1202,"aliases":1259,"expertCount":1067},"GB-22","造纸和纸制品业","22",[1260],"造纸",{"code":1262,"name":1263,"group":1113,"gb4754":1264,"parent":1202,"aliases":1265,"expertCount":63},"GB-23","印刷和记录媒介复制业","23",[1266],"印刷复制",{"code":1268,"name":1269,"group":1113,"gb4754":1270,"parent":1202,"aliases":1271,"expertCount":1067},"GB-24","文教、工美、体育和娱乐用品制造业","24",[1272,1273],"文体用品","工美",{"code":1275,"name":1276,"group":1113,"gb4754":1277,"parent":1202,"aliases":1278,"expertCount":1173},"GB-25","石油、煤炭及其他燃料加工业","25",[1279,1280,1281],"石油加工","炼油","煤化工",{"code":1283,"name":1284,"group":1113,"gb4754":1285,"parent":1202,"aliases":1286,"expertCount":1289},"GB-26","化学原料和化学制品制造业","26",[1287,1288],"化工","化学原料",283,{"code":1291,"name":1292,"group":1113,"gb4754":1293,"parent":1202,"aliases":1294,"expertCount":1296},"GB-27","医药制造业","27",[892,1295],"制药",988,{"code":1298,"name":1299,"group":1113,"gb4754":1300,"parent":1202,"aliases":1301,"expertCount":1173},"GB-28","化学纤维制造业","28",[1302],"化纤",{"code":1304,"name":1305,"group":1113,"gb4754":1306,"parent":1202,"aliases":1307,"expertCount":294},"GB-29","橡胶和塑料制品业","29",[1308],"橡胶塑料",{"code":1310,"name":1311,"group":1113,"gb4754":1312,"parent":1202,"aliases":1313,"expertCount":265},"GB-30","非金属矿物制品业","30",[1314,1315],"建材","非金属矿物",{"code":1317,"name":1318,"group":1113,"gb4754":1319,"parent":1202,"aliases":1320,"expertCount":13},"GB-31","黑色金属冶炼和压延加工业","31",[1321,1322],"钢铁","黑色冶金",{"code":1324,"name":1325,"group":1113,"gb4754":1326,"parent":1202,"aliases":1327,"expertCount":1330},"GB-32","有色金属冶炼和压延加工业","32",[1328,1329],"有色冶金","有色金属",42,{"code":1332,"name":1333,"group":1113,"gb4754":1334,"parent":1202,"aliases":1335,"expertCount":56},"GB-33","金属制品业","33",[1336],"金属制品",{"code":1338,"name":1339,"group":1113,"gb4754":1340,"parent":1202,"aliases":1341,"expertCount":157},"GB-34","通用设备制造业","34",[1342],"通用设备",{"code":1344,"name":1345,"group":1113,"gb4754":1346,"parent":1202,"aliases":1347,"expertCount":826},"GB-35","专用设备制造业","35",[1348],"专用设备",{"code":1350,"name":1351,"group":1113,"gb4754":1352,"parent":1202,"aliases":1353,"expertCount":328},"GB-36","汽车制造业","36",[1354,1355],"汽车","整车",{"code":487,"name":488,"group":1113,"gb4754":1357,"parent":1202,"aliases":1358,"expertCount":1360},"37",[1359],"轨道船舶航空航天",707,{"code":1362,"name":1363,"group":1113,"gb4754":1364,"parent":1202,"aliases":1365,"expertCount":1368},"GB-38","电气机械和器材制造业","38",[1366,1367],"电气机械","电工电器",867,{"code":490,"name":491,"group":1113,"gb4754":1370,"parent":1202,"aliases":1371,"expertCount":1375},"39",[1372,1373,1374],"电子设备","电子制造","通信设备",1192,{"code":1377,"name":1378,"group":1113,"gb4754":1379,"parent":1202,"aliases":1380,"expertCount":1383},"GB-40","仪器仪表制造业","40",[1381,1382],"仪器仪表","仪表",130,{"code":1385,"name":1386,"group":1113,"gb4754":1387,"parent":1202,"aliases":1388,"expertCount":1067},"GB-41","其他制造业","41",[1389],"其他制造",{"code":1391,"name":1392,"group":1113,"gb4754":1393,"parent":1202,"aliases":1394,"expertCount":848},"GB-42","废弃资源综合利用业","42",[1395,1396],"资源综合利用","再生资源",{"code":1398,"name":1399,"group":1113,"gb4754":1400,"parent":1202,"aliases":1401,"expertCount":1067},"GB-43","金属制品、机械和设备修理业","43",[1402,1403],"设备修理","机电维修",{"code":792,"name":793,"group":1113,"gb4754":1405,"parent":1406,"aliases":1407,"expertCount":1409},"44","D",[807,1408],"热电",164,{"code":1411,"name":1412,"group":1113,"gb4754":1413,"parent":1406,"aliases":1414,"expertCount":1020},"GB-45","燃气生产和供应业","45",[1415,1416],"燃气","城市燃气",{"code":1418,"name":1419,"group":1113,"gb4754":1420,"parent":1406,"aliases":1421,"expertCount":32},"GB-46","水的生产和供应业","46",[1422,1423],"供水","水务",{"code":1425,"name":1426,"group":1113,"gb4754":1427,"parent":1428,"aliases":1429,"expertCount":1067},"GB-47","房屋建筑业","47","E",[1430,1431],"房屋建筑","房建",{"code":552,"name":553,"group":1113,"gb4754":1433,"parent":1428,"aliases":1434,"expertCount":1437},"48",[1435,1436],"土木建筑","基建",284,{"code":1439,"name":1440,"group":1113,"gb4754":1441,"parent":1428,"aliases":1442,"expertCount":1067},"GB-49","建筑安装业","49",[1443],"建筑安装",{"code":1445,"name":1446,"group":1113,"gb4754":1447,"parent":1428,"aliases":1448,"expertCount":1067},"GB-50","建筑装饰、装修和其他建筑业","50",[1449,1450],"建筑装饰","装修",{"code":1452,"name":1453,"group":1113,"gb4754":1454,"parent":1455,"aliases":1456,"expertCount":826},"GB-51","批发业","51","F",[1457,1458],"批发","商贸批发",{"code":1460,"name":1461,"group":1113,"gb4754":1462,"parent":1455,"aliases":1463,"expertCount":1205},"GB-52","零售业","52",[1464],"零售",{"code":1466,"name":1467,"group":1113,"gb4754":1468,"parent":1469,"aliases":1470,"expertCount":1048},"GB-53","铁路运输业","53","G",[1471,1472],"铁路运输","铁路",{"code":1474,"name":1475,"group":1113,"gb4754":1476,"parent":1469,"aliases":1477,"expertCount":878},"GB-54","道路运输业","54",[1478,1479],"道路运输","公路运输",{"code":1481,"name":1482,"group":1113,"gb4754":1483,"parent":1469,"aliases":1484,"expertCount":32},"GB-55","水上运输业","55",[1485,1486],"水运","航运",{"code":521,"name":522,"group":1113,"gb4754":1488,"parent":1469,"aliases":1489,"expertCount":1492},"56",[1490,1491],"航空运输","民航",642,{"code":1494,"name":1495,"group":1113,"gb4754":1496,"parent":1469,"aliases":1497,"expertCount":1031},"GB-57","管道运输业","57",[1498],"管道运输",{"code":1500,"name":1501,"group":1113,"gb4754":1502,"parent":1469,"aliases":1503,"expertCount":827},"GB-58","装卸搬运和仓储业","58",[1504,1505],"仓储","物流仓储",{"code":1507,"name":1508,"group":1113,"gb4754":1509,"parent":1469,"aliases":1510,"expertCount":32},"GB-59","邮政业","59",[1511,1512],"邮政","快递",{"code":1514,"name":1515,"group":1113,"gb4754":1516,"parent":1469,"aliases":1517,"expertCount":826},"GB-60","多式联运和运输代理业","60",[1518,1519],"多式联运","货运代理",{"code":1521,"name":1522,"group":1113,"gb4754":1523,"parent":1524,"aliases":1525,"expertCount":1067},"GB-61","住宿业","61","H",[1526,1527],"住宿","酒店",{"code":1529,"name":1530,"group":1113,"gb4754":1531,"parent":1524,"aliases":1532,"expertCount":1067},"GB-62","餐饮业","62",[1533],"餐饮",{"code":1535,"name":1536,"group":1113,"gb4754":1537,"parent":1538,"aliases":1539,"expertCount":1020},"GB-63","电信、广播电视和卫星传输服务","63","I",[1540,1541],"电信","通信运营",{"code":1543,"name":1544,"group":1113,"gb4754":1545,"parent":1538,"aliases":1546,"expertCount":316},"GB-64","互联网和相关服务","64",[1547],"互联网服务",{"code":703,"name":704,"group":1113,"gb4754":1549,"parent":1538,"aliases":1550,"expertCount":1553},"65",[1551,1552],"软件","IT服务",451,{"code":1555,"name":1556,"group":1113,"gb4754":1557,"parent":1558,"aliases":1559,"expertCount":49},"GB-66","货币金融服务","66","J",[1560,1561],"银行","货币金融",{"code":1563,"name":1564,"group":1113,"gb4754":1565,"parent":1558,"aliases":1566,"expertCount":1569},"GB-67","资本市场服务","67",[1567,1568],"资本市场","证券基金",238,{"code":1571,"name":1572,"group":1113,"gb4754":1573,"parent":1558,"aliases":1574,"expertCount":32},"GB-68","保险业","68",[1575],"保险",{"code":1577,"name":1578,"group":1113,"gb4754":1579,"parent":1558,"aliases":1580,"expertCount":826},"GB-69","其他金融业","69",[1581],"其他金融",{"code":1583,"name":1584,"group":1113,"gb4754":1585,"parent":1586,"aliases":1587,"expertCount":1173},"GB-70","房地产业","70","K",[1588],"房地产",{"code":1590,"name":1591,"group":1113,"gb4754":1592,"parent":1593,"aliases":1594,"expertCount":826},"GB-71","租赁业","71","L",[1595],"租赁",{"code":1597,"name":1598,"group":1113,"gb4754":1599,"parent":1593,"aliases":1600,"expertCount":1603},"GB-72","商务服务业","72",[1601,1602],"商务服务","专业服务",66,{"code":493,"name":494,"group":1113,"gb4754":1605,"parent":1606,"aliases":1607,"expertCount":1610},"73","M",[1608,1609],"研发","研究试验",2855,{"code":606,"name":607,"group":1113,"gb4754":1612,"parent":1606,"aliases":1613,"expertCount":1615},"74",[1614],"专业技术服务",358,{"code":1617,"name":1618,"group":1113,"gb4754":1619,"parent":1606,"aliases":1620,"expertCount":1067},"GB-75","科技推广和应用服务业","75",[1621,1622],"科技服务","技术推广",{"code":1624,"name":1625,"group":1113,"gb4754":1626,"parent":1627,"aliases":1628,"expertCount":1630},"GB-76","水利管理业","76","N",[1629],"水利",127,{"code":633,"name":634,"group":1113,"gb4754":1632,"parent":1627,"aliases":1633,"expertCount":1635},"77",[1634,949],"环境治理",1070,{"code":1637,"name":1638,"group":1113,"gb4754":1639,"parent":1627,"aliases":1640,"expertCount":1642},"GB-78","公共设施管理业","78",[1641],"市政公用设施",17,{"code":1644,"name":1645,"group":1113,"gb4754":1646,"parent":1627,"aliases":1647,"expertCount":1067},"GB-79","土地管理业","79",[1648],"土地管理",{"code":1650,"name":1651,"group":1113,"gb4754":1652,"parent":1653,"aliases":1654,"expertCount":1067},"GB-80","居民服务业","80","O",[1655],"居民服务",{"code":1657,"name":1658,"group":1113,"gb4754":1659,"parent":1653,"aliases":1660,"expertCount":1067},"GB-81","机动车、电子产品和日用产品修理业","81",[1661],"修理维护",{"code":1663,"name":1664,"group":1113,"gb4754":1665,"parent":1653,"aliases":1666,"expertCount":1067},"GB-82","其他服务业","82",[1667],"其他服务",{"code":1669,"name":1670,"group":1113,"gb4754":1671,"parent":1672,"aliases":1673,"expertCount":1675},"GB-83","教育","83","P",[1670,1674],"教育培训",339,{"code":796,"name":797,"group":1113,"gb4754":1677,"parent":1678,"aliases":1679,"expertCount":1681},"84","Q",[797,1680],"医疗",456,{"code":1683,"name":1684,"group":1113,"gb4754":1685,"parent":1678,"aliases":1686,"expertCount":848},"GB-85","社会工作","85",[1684,1687],"社工",{"code":1689,"name":1690,"group":1113,"gb4754":1691,"parent":1692,"aliases":1693,"expertCount":192},"GB-86","新闻和出版业","86","R",[1694],"新闻出版",{"code":1696,"name":1697,"group":1113,"gb4754":1698,"parent":1692,"aliases":1699,"expertCount":294},"GB-87","广播、电视、电影和录音制作业","87",[1700],"广电影视",{"code":1702,"name":1703,"group":1113,"gb4754":1704,"parent":1692,"aliases":1705,"expertCount":1707},"GB-88","文化艺术业","88",[1706],"文化艺术",45,{"code":1709,"name":1710,"group":1113,"gb4754":1711,"parent":1692,"aliases":1712,"expertCount":21},"GB-89","体育","89",[1710],{"code":556,"name":557,"group":1113,"gb4754":1714,"parent":1692,"aliases":1715,"expertCount":1173},"90",[1716],"娱乐",{"code":1718,"name":1719,"group":1113,"gb4754":1720,"parent":1721,"aliases":1722,"expertCount":1067},"GB-91","中国共产党机关","91","S",[1723],"党政机关",{"code":1725,"name":1726,"group":1113,"gb4754":1727,"parent":1721,"aliases":1728,"expertCount":1731},"GB-92","国家机构","92",[1729,1730],"政府机构","国家机关",22,{"code":1733,"name":1734,"group":1113,"gb4754":1735,"parent":1721,"aliases":1736,"expertCount":827},"GB-93","人民政协、民主党派","93",[1737],"政协民主党派",{"code":1739,"name":1740,"group":1113,"gb4754":1741,"parent":1721,"aliases":1742,"expertCount":49},"GB-94","社会保障","94",[1743,1740],"社保",{"code":1745,"name":1746,"group":1113,"gb4754":1747,"parent":1721,"aliases":1748,"expertCount":282},"GB-95","群众团体、社会团体和其他成员组织","95",[1749,1750],"社会团体","社会组织",{"code":1752,"name":1753,"group":1113,"gb4754":1754,"parent":1721,"aliases":1755,"expertCount":1067},"GB-96","基层群众自治组织及其他组织","96",[1756],"基层自治组织",{"code":1758,"name":1759,"group":1113,"gb4754":1760,"parent":1761,"aliases":1762,"expertCount":1067},"GB-97","国际组织","97","T",[1759],{"group":1764,"code":1764,"name":7,"count":63,"tags":1765},"SEI",[1766,1769,1772,1777,1783,1787,1790,1797,1802],{"code":496,"name":497,"group":1764,"gb4754":10,"parent":10,"aliases":1767,"expertCount":1768},[710,926],2228,{"code":499,"name":500,"group":1764,"gb4754":10,"parent":10,"aliases":1770,"expertCount":1771},[588],691,{"code":1773,"name":1774,"group":1764,"gb4754":10,"parent":10,"aliases":1775,"expertCount":1776},"SEI-03","新材料产业",[908],1246,{"code":1778,"name":1779,"group":1764,"gb4754":10,"parent":10,"aliases":1780,"expertCount":1782},"SEI-04","生物产业",[1779,1781],"生物医药生物",1085,{"code":1784,"name":1785,"group":1764,"gb4754":10,"parent":10,"aliases":1786,"expertCount":84},"SEI-05","新能源汽车产业",[779,945],{"code":801,"name":802,"group":1764,"gb4754":10,"parent":10,"aliases":1788,"expertCount":1789},[936],633,{"code":1791,"name":1792,"group":1764,"gb4754":10,"parent":10,"aliases":1793,"expertCount":1796},"SEI-07","节能环保产业",[1794,1795],"节能环保","环保产业",166,{"code":1798,"name":1799,"group":1764,"gb4754":10,"parent":10,"aliases":1800,"expertCount":1205},"SEI-08","数字创意产业",[1801],"数字创意",{"code":1803,"name":1804,"group":1764,"gb4754":10,"parent":10,"aliases":1805,"expertCount":56},"SEI-09","相关服务业",[1806],"战略性新兴服务业"]