[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tags-groups":3,"chains-groupcat":4,"tech-results-list":384},[],[5,16,23,28,35,43,52,59,66,72,78,86,91,97,105,111,116,123,127,132,137,143,148,154,159,165,171,177,182,188,194,199,204,209,214,219,225,231,236,242,246,252,256,261,267,273,279,284,290,297,303,307,312,318,324,330,336,341,346,351,357,361,367,372,376,380],{"id":6,"name":7,"category":8,"groupCategory":9,"intro":10,"scale":11,"maturity":12,"checkState":13,"nodeCount":14,"companyCount":15},"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":17,"name":18,"category":8,"groupCategory":9,"intro":19,"scale":20,"maturity":12,"checkState":13,"nodeCount":21,"companyCount":22},"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":24,"name":25,"category":8,"groupCategory":9,"intro":26,"scale":27,"maturity":12,"checkState":13,"nodeCount":14,"companyCount":15},"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":29,"name":30,"category":8,"groupCategory":9,"intro":31,"scale":11,"maturity":32,"checkState":13,"nodeCount":33,"companyCount":34},"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":36,"name":37,"category":38,"groupCategory":39,"intro":40,"scale":11,"maturity":41,"checkState":13,"nodeCount":33,"companyCount":42},"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":44,"name":45,"category":46,"groupCategory":47,"intro":48,"scale":11,"maturity":49,"checkState":13,"nodeCount":50,"companyCount":51},"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":53,"name":54,"category":55,"groupCategory":9,"intro":56,"scale":11,"maturity":12,"checkState":13,"nodeCount":57,"companyCount":58},"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":60,"name":61,"category":46,"groupCategory":47,"intro":62,"scale":63,"maturity":49,"checkState":13,"nodeCount":64,"companyCount":65},"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":67,"name":68,"category":8,"groupCategory":9,"intro":69,"scale":70,"maturity":49,"checkState":13,"nodeCount":14,"companyCount":71},"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":73,"name":74,"category":38,"groupCategory":39,"intro":75,"scale":76,"maturity":41,"checkState":13,"nodeCount":64,"companyCount":77},"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":79,"name":80,"category":8,"groupCategory":47,"intro":81,"scale":82,"maturity":83,"checkState":13,"nodeCount":84,"companyCount":85},"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":87,"name":88,"category":46,"groupCategory":47,"intro":89,"scale":11,"maturity":49,"checkState":13,"nodeCount":14,"companyCount":90},"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":92,"name":93,"category":46,"groupCategory":47,"intro":94,"scale":95,"maturity":49,"checkState":13,"nodeCount":14,"companyCount":96},"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":98,"name":99,"category":8,"groupCategory":47,"intro":100,"scale":101,"maturity":102,"checkState":13,"nodeCount":103,"companyCount":104},"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":106,"name":107,"category":46,"groupCategory":47,"intro":108,"scale":109,"maturity":49,"checkState":13,"nodeCount":64,"companyCount":110},"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":112,"name":113,"category":8,"groupCategory":9,"intro":114,"scale":115,"maturity":12,"checkState":13,"nodeCount":33,"companyCount":110},"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":117,"name":118,"category":8,"groupCategory":9,"intro":119,"scale":120,"maturity":121,"checkState":13,"nodeCount":84,"companyCount":122},"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":124,"name":125,"category":38,"groupCategory":39,"intro":126,"scale":11,"maturity":32,"checkState":13,"nodeCount":50,"companyCount":34},"ch60_T11","家电制造产业链","家用电器制造，向智能家电升级",{"id":128,"name":129,"category":38,"groupCategory":39,"intro":130,"scale":131,"maturity":32,"checkState":13,"nodeCount":33,"companyCount":104},"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":133,"name":134,"category":38,"groupCategory":39,"intro":135,"scale":11,"maturity":41,"checkState":13,"nodeCount":14,"companyCount":136},"ch60_T04","建材产业链","水泥、玻璃、陶瓷、新型建材",49,{"id":138,"name":139,"category":38,"groupCategory":39,"intro":140,"scale":141,"maturity":41,"checkState":13,"nodeCount":57,"companyCount":142},"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":144,"name":145,"category":8,"groupCategory":9,"intro":146,"scale":11,"maturity":12,"checkState":13,"nodeCount":33,"companyCount":147},"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":149,"name":150,"category":8,"groupCategory":9,"intro":151,"scale":152,"maturity":12,"checkState":13,"nodeCount":14,"companyCount":153},"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":155,"name":156,"category":8,"groupCategory":9,"intro":157,"scale":11,"maturity":12,"checkState":13,"nodeCount":64,"companyCount":158},"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":160,"name":161,"category":8,"groupCategory":9,"intro":162,"scale":163,"maturity":32,"checkState":13,"nodeCount":33,"companyCount":164},"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":166,"name":167,"category":8,"groupCategory":9,"intro":168,"scale":169,"maturity":12,"checkState":13,"nodeCount":14,"companyCount":170},"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":172,"name":173,"category":8,"groupCategory":9,"intro":174,"scale":175,"maturity":12,"checkState":13,"nodeCount":21,"companyCount":176},"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":178,"name":179,"category":8,"groupCategory":9,"intro":180,"scale":11,"maturity":12,"checkState":13,"nodeCount":64,"companyCount":181},"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":183,"name":184,"category":8,"groupCategory":9,"intro":185,"scale":186,"maturity":32,"checkState":13,"nodeCount":21,"companyCount":187},"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":189,"name":190,"category":8,"groupCategory":9,"intro":191,"scale":192,"maturity":12,"checkState":13,"nodeCount":21,"companyCount":193},"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":195,"name":196,"category":38,"groupCategory":39,"intro":197,"scale":198,"maturity":32,"checkState":13,"nodeCount":64,"companyCount":65},"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":200,"name":201,"category":46,"groupCategory":47,"intro":202,"scale":11,"maturity":49,"checkState":13,"nodeCount":64,"companyCount":203},"ch60_F11","未来信息产业链","光计算、存算一体、神经形态芯片",118,{"id":205,"name":206,"category":46,"groupCategory":47,"intro":207,"scale":11,"maturity":49,"checkState":13,"nodeCount":14,"companyCount":208},"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":210,"name":211,"category":46,"groupCategory":47,"intro":212,"scale":11,"maturity":49,"checkState":13,"nodeCount":64,"companyCount":213},"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":215,"name":216,"category":46,"groupCategory":47,"intro":217,"scale":11,"maturity":49,"checkState":13,"nodeCount":50,"companyCount":218},"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":220,"name":221,"category":46,"groupCategory":47,"intro":222,"scale":223,"maturity":49,"checkState":13,"nodeCount":50,"companyCount":224},"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":226,"name":227,"category":46,"groupCategory":47,"intro":228,"scale":229,"maturity":49,"checkState":13,"nodeCount":64,"companyCount":230},"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":232,"name":233,"category":38,"groupCategory":39,"intro":234,"scale":11,"maturity":32,"checkState":13,"nodeCount":33,"companyCount":235},"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":237,"name":238,"category":46,"groupCategory":47,"intro":239,"scale":240,"maturity":49,"checkState":13,"nodeCount":33,"companyCount":241},"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":243,"name":244,"category":8,"groupCategory":9,"intro":245,"scale":11,"maturity":12,"checkState":13,"nodeCount":21,"companyCount":77},"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":247,"name":248,"category":46,"groupCategory":47,"intro":249,"scale":250,"maturity":49,"checkState":13,"nodeCount":21,"companyCount":251},"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":253,"name":254,"category":38,"groupCategory":39,"intro":255,"scale":11,"maturity":32,"checkState":13,"nodeCount":50,"companyCount":51},"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":257,"name":258,"category":38,"groupCategory":39,"intro":259,"scale":11,"maturity":32,"checkState":13,"nodeCount":21,"companyCount":260},"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":262,"name":263,"category":8,"groupCategory":9,"intro":264,"scale":265,"maturity":12,"checkState":13,"nodeCount":33,"companyCount":266},"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":268,"name":269,"category":38,"groupCategory":39,"intro":270,"scale":271,"maturity":12,"checkState":13,"nodeCount":64,"companyCount":272},"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":274,"name":275,"category":38,"groupCategory":39,"intro":276,"scale":277,"maturity":32,"checkState":13,"nodeCount":33,"companyCount":278},"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":280,"name":281,"category":8,"groupCategory":9,"intro":282,"scale":11,"maturity":12,"checkState":13,"nodeCount":64,"companyCount":283},"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":285,"name":286,"category":38,"groupCategory":39,"intro":287,"scale":288,"maturity":41,"checkState":13,"nodeCount":14,"companyCount":289},"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":291,"name":292,"category":38,"groupCategory":39,"intro":293,"scale":294,"maturity":32,"checkState":13,"nodeCount":295,"companyCount":296},"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":298,"name":299,"category":8,"groupCategory":9,"intro":300,"scale":301,"maturity":32,"checkState":13,"nodeCount":295,"companyCount":302},"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":304,"name":305,"category":38,"groupCategory":39,"intro":306,"scale":11,"maturity":32,"checkState":13,"nodeCount":14,"companyCount":147},"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":308,"name":309,"category":8,"groupCategory":9,"intro":310,"scale":311,"maturity":12,"checkState":13,"nodeCount":50,"companyCount":224},"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":313,"name":314,"category":46,"groupCategory":47,"intro":315,"scale":316,"maturity":49,"checkState":13,"nodeCount":33,"companyCount":317},"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":319,"name":320,"category":8,"groupCategory":9,"intro":321,"scale":322,"maturity":49,"checkState":13,"nodeCount":33,"companyCount":323},"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":325,"name":326,"category":8,"groupCategory":9,"intro":327,"scale":328,"maturity":12,"checkState":13,"nodeCount":21,"companyCount":329},"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":331,"name":332,"category":38,"groupCategory":39,"intro":333,"scale":334,"maturity":41,"checkState":13,"nodeCount":33,"companyCount":335},"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":337,"name":338,"category":8,"groupCategory":9,"intro":339,"scale":340,"maturity":12,"checkState":13,"nodeCount":295,"companyCount":289},"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":342,"name":343,"category":8,"groupCategory":9,"intro":344,"scale":11,"maturity":32,"checkState":13,"nodeCount":33,"companyCount":345},"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":347,"name":348,"category":38,"groupCategory":39,"intro":349,"scale":11,"maturity":32,"checkState":13,"nodeCount":14,"companyCount":350},"ch60_T06","轻工造纸产业链","造纸、家具、印刷、包装、日用消费品",107,{"id":352,"name":353,"category":46,"groupCategory":47,"intro":354,"scale":355,"maturity":49,"checkState":13,"nodeCount":14,"companyCount":356},"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":358,"name":359,"category":38,"groupCategory":39,"intro":360,"scale":11,"maturity":41,"checkState":13,"nodeCount":64,"companyCount":158},"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":362,"name":363,"category":8,"groupCategory":9,"intro":364,"scale":365,"maturity":12,"checkState":13,"nodeCount":21,"companyCount":366},"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":368,"name":369,"category":38,"groupCategory":39,"intro":370,"scale":11,"maturity":32,"checkState":13,"nodeCount":33,"companyCount":371},"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":373,"name":374,"category":8,"groupCategory":9,"intro":375,"scale":11,"maturity":12,"checkState":13,"nodeCount":33,"companyCount":158},"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":377,"name":378,"category":55,"groupCategory":9,"intro":379,"scale":11,"maturity":12,"checkState":13,"nodeCount":57,"companyCount":260},"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":381,"name":382,"category":8,"groupCategory":9,"intro":383,"scale":11,"maturity":12,"checkState":13,"nodeCount":50,"companyCount":266},"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":385,"total":241,"page":706,"pageSize":224,"totalPages":707},[386,403,414,425,436,446,457,467,478,489,499,509,520,531,541,552,563,573,583,594,605,614,624,634,644,655,664,673,683,695],{"resultType":387,"id":388,"title":389,"abstract":390,"orgName":391,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":395,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":398,"ipc":399,"inventors":400,"tags":401,"tagNames":402},"patent","gpi2_0766","一种吸能防冲锚索组件及其控制方法","本发明公开了一种吸能防冲锚索组件及其控制方法，吸能防冲锚索组件包括锚索、吸能套管、托盘、变锥角扩径台、温度控制组件和压力检测组件。本发明通过在吸能套管内设置套接锚索的变锥角扩径台，使锚索在受到冲击拉伸时带动变锥角扩径台相对吸能套管轴向滑移；同时，通过压力检测组件检测形状记忆合金与吸能套管内壁之间的径向接触压力，并由温度控制组件控制不同形状记忆合金组的外扩锥角，使变锥角扩径台与吸能套管之间形成分级、可调的摩擦吸能阻力。","湖南科技大学;湖南科技大学三亚研究院","430000;湖南省","2026-10-12T01:10:42.529Z","发明专利","2026.08.28#公开;2026.09.15#实质审查的生效;2026.09.25#授权",false,true,"CN202611132654.9","E21D21\u002F00;G01L5\u002F00","张佳华;姚程;张道兵;张标;孙红",[],[],{"resultType":387,"id":404,"title":405,"abstract":406,"orgName":407,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":408,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":409,"ipc":410,"inventors":411,"tags":412,"tagNames":413},"gpi2_0046","一种基于人工智能的血糖变化预测系统及方法","本申请提供了一种基于人工智能的血糖变化预测系统及方法，通过穿戴式CGM传感器实时采集血糖变化数据；基于所述血糖变化数据，提取表征血糖时序波动隐含驱动信号的时序隐特征，根据所述血糖变化数据和所述时序隐特征进行血糖波动相位识别，得到波动相位状态；基于所述波动相位状态，确定所述血糖变化数据相对标准时序波动基准的相位偏移量，根据所述相位偏移量对所述血糖变化数据进行相位校准，得到血糖变化特征；基于所述血糖变化特征，生成未来预设时间范围内的血糖变化预测结果并通过监测终端显示。本申请提供的技术方案可以识别血糖波动相位并进行相位校准，以提高血糖变化预测结果的准确性。","中南大学湘雅二医院","2026.08.21#公开;2026.09.08#实质审查的生效;2026.09.18#授权","CN202611104266.X","A61B5\u002F145;G16H80\u002F00;G06F18\u002F213;G06F18\u002F22;G06F18\u002F241;G06F18\u002F25;G06N3\u002F0442;A61B5\u002F00","王丽;孙翠芳;邓雄杰;黄以媚;李媛;盛滢冰",[],[],{"resultType":387,"id":415,"title":416,"abstract":417,"orgName":418,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":419,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":420,"ipc":421,"inventors":422,"tags":423,"tagNames":424},"gpi2_0644","一种复合创伤敷料及其制备方法","本申请提供一种复合创伤敷料及其制备方法，属于医用敷料技术领域。所述复合创伤敷料包括外层支撑层和内层功能层；所述外层支撑层为经改性处理的苎麻纤维非织造布，所述改性处理包括对苎麻纤维进行低温等离子体处理和乙酰化改性；所述内层功能层为苎麻编织物与接枝香芹酚的低抗原胶原海绵的复合体，所述胶原海绵贯穿于所述编织物的纱线间隙及孔隙内部，形成胶原海绵与苎麻纤维相互包裹、穿插的结构。本发明敷料的外层支撑层和内层功能层的双层结构设计，既可以通过外层提供稳定的力学支撑，维持敷料保形性，又可以通过内层的实现渗液高效吸收，同时缓释抗菌成分，主动促进创面愈合，生物相容性优异，免疫原性风险低。","湖南工程学院","2026.09.01#公开;2026.09.18#实质审查的生效;2026.09.29#授权","CN202611155352.3","A61L15\u002F32;A61L15\u002F28;A61L15\u002F42;A61L15\u002F46;A61L15\u002F18;A61L15\u002F64;D04H1\u002F425;D04B21\u002F14;D04B21\u002F20;D04H1\u002F492;A61F13\u002F01","罗凤香;屈俊杰;孙强;首永瑶;柯周桂;何斌;包新军",[],[],{"resultType":387,"id":426,"title":427,"abstract":428,"orgName":429,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":430,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":431,"ipc":432,"inventors":433,"tags":434,"tagNames":435},"gpi2_0406","一种扬声器渲染方法、装置、设备及存储介质","本申请公开了一种扬声器渲染方法、装置、设备及存储介质，涉及音频渲染技术领域，包括：以听音位置为底面中心构建目标立方体空间模型；对目标立方体空间模型进行网格划分得到若干网格点，并在各网格点上生成相应的虚拟扬声器；基于各虚拟扬声器的类型确定各虚拟扬声器对应的增益，并基于各虚拟扬声器的增益构建查找表；增益用于表示与虚拟扬声器的位置相对应的物理扬声器的音量；基于虚拟声源的位置定位虚拟声源在目标立方体空间模型中的目标网格点，并从查找表中确定目标网格点的增益，基于目标网格点的增益生成虚拟声源的目标增益，基于目标增益控制物理扬声器进行音频渲染。本申请能够在保持低计算复杂度的同时，提升非听音位置的渲染稳定性。","马栏山音视频实验室","2026.08.18#公开;2026.09.04#实质审查的生效;2026.09.18#授权","CN202611088059.X","H04S7\u002F00","毛旭文;王雷;白金;贺博;王得法",[],[],{"resultType":387,"id":437,"title":438,"abstract":439,"orgName":440,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":395,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":441,"ipc":442,"inventors":443,"tags":444,"tagNames":445},"gpi2_0769","一种期货领域的投研报告处理方法和系统","本申请涉及金融数据处理技术领域，尤其涉及一种期货领域的投研报告处理方法和系统，其方法包括：获取不同数据源的多份原始投研报告，提取每份报告中的期货品种、发布时间、核心观点、多空方向标签及支撑数据；基于期货品种和发布时间将多份报告划分为同一品种的时间序列报告集合，判断相邻报告的多空方向标签是否发生反转；若未发生反转，则将相邻报告的核心观点和支撑数据进行观点融合处理，生成一致性观点摘要；若发生反转，则提取冲突报告中的关键假设条件并生成观点反转事件记录。本申请有助于自动提取投研报告中的关键信息，识别观点反转事件，提高投研人员处理海量报告的效率，降低信息遗漏风险。","湖南达美策略信息技术服务有限公司","CN202611131858.0","G06F16\u002F334;G06F40\u002F30;G06F40\u002F205;G06F40\u002F169;G06F18\u002F22;G06F18\u002F25;G06Q40\u002F04;G06F123\u002F02","谭卫勇;孙加旺;李满菊",[],[],{"resultType":387,"id":447,"title":448,"abstract":449,"orgName":450,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":451,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":452,"ipc":453,"inventors":454,"tags":455,"tagNames":456},"gpi2_0146","一种桌面云场景下基于AI大模型的智能进程调度方法","本发明公开了一种桌面云场景下基于AI大模型的智能进程调度方法，属于桌面云计算技术领域，该方法包括：在桌面云虚拟机客户操作系统内部署采集代理，按采集周期采集各运行进程的特征数据；将特征数据构建为结构化提示词提交至AI大模型，获取各进程对应的语义标签；调度执行后持续采集调度效果指标，注入AI大模型上下文更新语义标签判定描述。本发明还设计了离线降级机制，当AI大模型推理服务不可用时切换至本地规则引擎模式。本发明实现了基于AI大模型语义理解的进程差异化调度、主机与客户机双路径协同调度及调度效果闭环反馈优化，提升了桌面云前台业务应用响应性能和用户体验。","长沙领维创新科技有限公司","2026.08.21#公开;2026.09.08#实质审查的生效;2026.09.29#授权","CN202611105410.1","G06F9\u002F451;G06F9\u002F50;G06N20\u002F00","陈云;王维;廖焕康",[],[],{"resultType":387,"id":458,"title":459,"abstract":460,"orgName":461,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":408,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":462,"ipc":463,"inventors":464,"tags":465,"tagNames":466},"gpi2_0417","一种用于多\u002F高光谱影像薄云去除的无监督深度网络方法","本发明公开了一种用于多\u002F高光谱影像薄云去除的无监督深度网络方法，包括以下实现步骤：步骤1，基于暗物减法物理模型的薄云统一估计与线性解耦；步骤2，基于红外辅助的全波段图像重建网络学习；步骤3，引入协同对抗与无监督辅助学习的网络优化。本发明公开了一种用于多\u002F高光谱影像薄云去除的无监督深度网络方法，摆脱了对真实成对含云\u002F清晰数据的依赖，能自适应消除薄云并具备极高的光谱与空间保真度。","长沙市勘测设计研究院;中国石油大学(华东)","CN202611087962.4","G06T5\u002F70;G06T5\u002F60;G06N3\u002F0455;G06N3\u002F088;G06N3\u002F094;G06N3\u002F0464;G06T7\u002F40;G06T7\u002F90","杨志波;赵莹莹;张翠峰;袁晶;孙根云;张爱竹;付航",[],[],{"resultType":387,"id":468,"title":469,"abstract":470,"orgName":471,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":472,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":473,"ipc":474,"inventors":475,"tags":476,"tagNames":477},"gpi2_0899","一种电动重卡动力学参数估计与驱动功率预测方法及其系统和可读存储介质","本发明公开了一种电动重卡动力学参数估计与驱动功率预测方法及其系统和可读存储介质，属于新能源汽车能量管理技术领域。该方法采集车辆运行数据匹配局部道路拓扑网；利用状态与参数联合估计算法交互传递协方差，实时解耦输出整车质量与道路坡度估计值，装卸货时自动重置协方差矩阵；基于拓扑网构建拓扑图，集成时空特征利用速度预测神经网络输出车速与加速度序列；将估计值与序列代入纵向动力学逆向方程解算基准驱动功率，利用高斯过程回归模型补偿阻力系数波动引起的误差，输出带置信度区间的功率需求。系统包含数据采集、参数估计、工况预测与功率联合预测模块，介质存储对应程序。本发明实现了参数高精度解耦与快速收敛。","中南大学","2026.08.28#公开;2026.09.15#实质审查的生效;2026.09.29#授权","CN202611122879.6","B60L15\u002F20","武悦;邱世标;夏子晴;李恒;彭军;黄志武",[],[],{"resultType":387,"id":479,"title":480,"abstract":481,"orgName":482,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":483,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":484,"ipc":485,"inventors":486,"tags":487,"tagNames":488},"gpi2_0382","一种破碎花岗岩岩体注浆加固模型构建方法及系统","本申请涉及注浆模型构建技术领域，具体涉及一种破碎花岗岩岩体注浆加固模型构建方法及系统，该方法包括：实时采集预设各深度采样点处钻机的机械参数及钻孔截面积，以计算各深度采样点处的单位体积破碎功，以生成钻进破碎度指数；在预设各注浆段注浆停泵后，实时采集井口压力，并基于预设基准压力，利用积分法计算各注浆段的浆液压力消散特征时间；聚合当前注浆段的钻进破碎度指数，结合所述特征时间计算注浆阻塞判识值；比较所述判识值与预设阈值以判定注浆状态，并据此动态更新岩体注浆状态体素模型。本申请解决了无法识别注浆“假拒浆”导致加固模型失真的问题，提升了岩体加固工程的安全性。","湖南固城工程科技有限公司","2026.08.18#公开;2026.09.04#实质审查的生效;2026.09.15#授权","CN202611090581.1","G06T17\u002F05;G01D21\u002F02;E21B49\u002F00;E21B47\u002F08;G06T17\u002F10","彭芬;殷瑜;唐宏",[],[],{"resultType":387,"id":490,"title":491,"abstract":492,"orgName":493,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":451,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":494,"ipc":495,"inventors":496,"tags":497,"tagNames":498},"gpi2_0148","一种超高大跨度冷库井字梁结构的模架安全监测方法","本发明公开了一种超高大跨度冷库井字梁结构的模架安全监测方法，包括如下步骤：建立数字化传力拓扑图；在拓扑图关键节点布设传感器，同步采集轴力时序数据；计算邻域节点轴力时序的相关系数，构建表征传力紧密程度的关联矩阵；基于关联矩阵确定邻域节点群，计算各节点轴力相对于邻域加权平均值的偏离程度；结合区域差异化阈值识别异常节点；基于关联矩阵联动强度，以异常节点为起点沿拓扑边逆荷载传递方向追溯至顶托层井字梁肋投影边界，将路径终止立杆记为荷载扰动输入点，界定异常荷载变动区域；上报该区域。本发明通过拓扑逆向追溯实现了从单点异常到区域源头的精准定位，为施工安全管控提供依据。","中国建筑第五工程局有限公司","CN202611106691.2","G06F30\u002F23;G06F18\u002F2433;G06F18\u002F22;G06F18\u002F26;G06Q50\u002F08","王阳;贾海波;柴富顺;陈朝雷;王云龙;魏位;杨永威;陈明;韩红光;陈升林",[],[],{"resultType":387,"id":500,"title":501,"abstract":502,"orgName":503,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":451,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":504,"ipc":505,"inventors":506,"tags":507,"tagNames":508},"gpi2_0140","一种适用于高真空测量的真空规及其制备方法","本发明公开了一种适用于高真空测量的真空规，包括自上而下依次设置的盖帽层、谐振结构层和底电极层，所述盖帽层与所述谐振结构层之间设有气膜间隙结构，所述气膜间隙结构的高度为0.2～4μm，所述谐振结构层与所述底电极层之间设有电容间隙结构，所述电容间隙结构的高度为1～15μm。其制备方法包括步骤：步骤1：原材料清洗；步骤2：晶圆裂片诱导；步骤3：盖帽层气膜间隙结构制备；步骤4：谐振结构层加工与下表面金属化；步骤5：底电极层电容间隙结构制备与上表面金属化；步骤6：三层结构键合；步骤7：晶圆裂片。本发明可以实现气膜间隙与电容间距解耦，有利于兼顾极小气膜间隙和较大的电容间距，有望拓展真空计的测量下限。","湖南天羿领航科技有限公司","CN202611105515.7","G01L21\u002F22","周仁;王呈祥;余良标",[],[],{"resultType":387,"id":510,"title":511,"abstract":512,"orgName":513,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":514,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":515,"ipc":516,"inventors":517,"tags":518,"tagNames":519},"gpi2_0456","一种面向异构任务的大语言模型量化联邦微调方法及系统","本申请提供了一种面向异构任务的大语言模型量化联邦微调方法及系统，该方法包括：获取多个客户端各自对应的可用资源和训练数据集；基于多个客户端各自对应的可用资源，确定多个客户端各自对应的局部矩阵和量化级别；基于多个客户端各自对应的量化级别和局部矩阵，确定多个客户端各自对应的大语言模型；并通过多个客户端各自对应的训练数据集，分别对多个客户端的大语言模型进行训练，得到多个客户端各自对应的模型参数；基于多个客户端各自对应的模型参数，进行参数全局聚合，确定全局模型参数；以使基于全局模型参数实现量化联邦微调。上述方案，能够在提高模型泛化性能的同时，减少模型训练所占用的时间。","中国人民解放军国防科技大学","2026.08.21#公开;2026.09.08#实质审查的生效;2026.09.22#授权","CN202611088481.5","G06N3\u002F096;G06N3\u002F0455;G06N3\u002F098;G06F18\u002F214","卢彦丰;吴韬;宋淼荟;常超;王怀习;吴一尘;杨方",[],[],{"resultType":387,"id":521,"title":522,"abstract":523,"orgName":524,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":525,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":526,"ipc":527,"inventors":528,"tags":529,"tagNames":530},"gpi2_0864","一种鞘管及内窥镜组件","本发明涉及内窥镜技术领域，尤其涉及一种鞘管及内窥镜组件，包括管体，管体的远端口设置有内管，管体的内壁上设置有囊体，内管通过囊体与管体连接，囊体具有轴向膨胀形变行程和径向膨胀形变行程，所述轴向膨胀形变行程的形变阻力大于径向膨胀形变行程的形变阻力。本申请利用囊体、内管、管体和插入部之间协同配合，既可以实现减少插入部远端的弯曲半径，降低插入部远端在弯曲过程中与体腔内壁之间发生剐蹭，提高手术安全性，提升碎石效率和碎石效果；利用囊体在管体内形成颈口，限制流体及碎石流出，抑制打碎后的结石从鞘管中飞出，引导促进碎石进入到抽吸通道中快速排出，以此进一步提升碎石过程中结石的清理效果以及清理效率。","湖南省华芯医疗科技股份有限公司","2026.08.25#公开;2026.09.11#实质审查的生效;2026.09.29#授权","CN202611126665.6","A61B1\u002F018;A61B1\u002F015;A61B1\u002F012;A61B1\u002F005;A61B1\u002F04;A61B1\u002F06;A61B18\u002F26;A61M25\u002F00","周震华;周冠华",[],[],{"resultType":387,"id":532,"title":533,"abstract":534,"orgName":535,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":514,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":536,"ipc":537,"inventors":538,"tags":539,"tagNames":540},"gpi2_0098","一种风电场尾流快速优化方法和系统","本发明涉及一种风电场尾流快速优化方法和系统，通过风电场WFSim构建全工况时序数据集，通过数据训练具备长时序依赖捕捉能力的LSTM神经网络预测模型，并基于该模型通过有限差分法快速求解全风电场灵敏度系数矩阵，实现非线性系统的线性化表征，最终构建兼顾发电量追踪、载荷抑制与控制平滑性的多目标优化模型，结合模型预测控制与quadprog求解器实现尾流在线快速优化，实现风电场发电效率显著提升、疲劳载荷有效抑制、控制策略强鲁棒性的综合优化目标。","湖南大学;湖大粤港澳大湾区创新研究院(广州增城)","CN202611104528.2","G06F30\u002F27;G06N3\u002F0442;G06F30\u002F28;F03D7\u002F04;F03D7\u002F00;G06F119\u002F14;G06F113\u002F08;G06F113\u002F06","陈威敏;王鹏达;黄晟;唐文博",[],[],{"resultType":387,"id":542,"title":543,"abstract":544,"orgName":545,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":546,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":547,"ipc":548,"inventors":549,"tags":550,"tagNames":551},"gpi2_0039","一种高隔音型吸音涂料及其制备方法","本发明公开了一种高隔音型吸音涂料及其制备方法，涉及聚硅氧烷涂料技术领域。所述高隔音型吸音涂料，包括以下重量份数的原料：丙烯酸乳液25‑28份、聚氨酯乳液13‑15份、聚硅氧烷5‑8份、分散剂0.8‑1.2份、抗静电剂1‑3份、固化剂5‑8份、固化促进剂0.2‑0.3份、去离子水25‑30份、增强改性剂5‑8份、二氧化硅气凝胶5‑8份、隔音填料10‑15份、增稠剂2‑5份；本发明制备的高隔音型吸音涂料具有优异的耐磨性能、抗静电性能和隔音性能。","长沙民德消防工程涂料有限公司","2026.08.21#公开;2026.09.08#实质审查的生效;2026.09.15#授权","CN202611104343.1","C09D133\u002F00;C09D175\u002F04;C09D183\u002F04;C09D7\u002F61;C09D7\u002F65;C09D7\u002F63;C07F7\u002F18;C07C213\u002F02;C07C217\u002F08;C07C213\u002F00;C07C219\u002F06","胡任远;沈龙;樊海英;廖有为",[],[],{"resultType":387,"id":553,"title":554,"abstract":555,"orgName":556,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":557,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":558,"ipc":559,"inventors":560,"tags":561,"tagNames":562},"gpi2_0971","仿真波形自动转换为ATE测试向量的方法、系统及介质","本发明涉及半导体测试及电子设计自动化技术领域，提供一种仿真波形自动转换为ATE测试向量的方法、系统及介质，通过仿真工具运行测试激励，利用硬件描述语言的系统任务将顶层输入输出端口信号的变化记录为标准波形交换格式VCD波形文件后，调用向量格式转换工具将VCD波形文件转换为仅包含顶层端口逻辑值的向量格式VEC文件，再对VEC文件进行时间点步长对齐预处理，最后基于对齐后的时间点序列中相邻时间点之间的时间差值以及预设步长，计算各相邻时间点对之间的重复次数来对格式化后的信号向量进行折叠表达，自动将仿真波形转换为ATE测试图形文件，提高了测试程序开发效率、保证准确性并增强复用性。","湖南融创微电子股份有限公司","2026.08.25#公开;2026.09.11#实质审查的生效;2026.09.22#授权","CN202611120187.8","G06F30\u002F333;G06F30\u002F33;G06F30\u002F327;G06F30\u002F398","龙毅;傅祎晖;刘长辉",[],[],{"resultType":387,"id":564,"title":565,"abstract":566,"orgName":567,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":514,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":568,"ipc":569,"inventors":570,"tags":571,"tagNames":572},"gpi2_0095","基于DAG的多BIM对象并行存储优化方法和相关装置","本申请公开了一种基于DAG的多BIM对象并行存储优化方法和相关装置，涉及计算机辅助设计与建筑信息化技术领域，该方法包括：获取目标BIM文档；对目标BIM文档中所有BIM对象之间的引用关系进行分析，构建有向无环图；计算每一BIM对象的依赖深度值，并将所有BIM对象按照依赖深度值划分为多个层级，得到BIM对象层级划分结果；按照层级顺序分别对各层级的BIM对象进行并行序列化处理，得到各层级序列化结果；基于各层级序列化结果，按照层级顺序进行结果合并，生成BIM文件。本申请可以在保证BIM对象依赖关系正确性的前提下，实现高效并行序列化存储，提升大规模BIM模型的保存性能。","中国电建集团中南勘测设计研究院有限公司","CN202611104164.8","G06F16\u002F172;G06F16\u002F13;G06F30\u002F13","那森;方璨琦;苏哲;胡琨;苏文哲",[],[],{"resultType":387,"id":574,"title":575,"abstract":576,"orgName":577,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":451,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":578,"ipc":579,"inventors":580,"tags":581,"tagNames":582},"gpi2_0355","基于KAN距离感知空间图的空间转录组数据识别方法及系统","本发明公开了一种基于KAN距离感知空间图的空间转录组数据识别方法及系统，该方法包括：获取基因表达矩阵和空间坐标，进行归一化与高变异基因筛选；对输入特征执行随机掩码增强；构建距离感知空间图KAN编码器，通过径向基函数展开的KAN投影层生成非线性查询、键、值向量，并利用独立KAN投影层学习空间距离到注意力偏置的自适应非线性映射，经图注意力聚合后输出潜在低维表示；通过结构解码分支和组学解码分支分别计算结构损失与表达重构损失，联合优化网络参数；对潜在表示进行聚类，获得组织空间域划分结果。本发明突破了传统固定距离衰减函数的局限，增强了特征投影的非线性表达能力，显著提升了空间域识别的精度与空间连续性。","湖南师范大学","CN202611100835.3","G16B40\u002F30;G06F18\u002F23;G06N3\u002F042;G06N3\u002F0455;G06N3\u002F084","肖球;邹阳;张欣如",[],[],{"resultType":387,"id":584,"title":585,"abstract":586,"orgName":587,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":588,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":589,"ipc":590,"inventors":591,"tags":592,"tagNames":593},"gpi2_0120","基于多模态边缘融合的环境剂量动态预测方法及系统","本发明属于辐射监测及人工智能技术领域，包括一种基于多模态边缘融合的环境剂量动态预测方法及系统，其中方法包括：获取辐射监测区域的多模态数据并进行时间同步；对多模态数据根据数据结构进行编码，得到编码数据；对编码数据采用多头注意力机制进行多模态融合，得到融合数据；对融合数据采用轻量级时序卷积网络进行预测，得到未来短时刻的剂量率预测值；根据剂量率预测值，采用分位数回归方法确定置信区间；根据剂量率预测值、置信区间及预警阈值对辐射监测区域的未来短时刻的剂量率预测值进行自适应预警，通过上述方案实现了环境剂量的场景感知和自适应性，提高了复杂工况的准确判断。","湖南信息学院","2026.08.21#公开;2026.09.08#实质审查的生效;2026.09.25#授权","CN202611107903.9","G01T1\u002F02;G06F18\u002F25;G06N3\u002F045;G06N3\u002F0464;G06V20\u002F40;G01T7\u002F12","刘小红;唐玲;陈姣;龚芝;李恩;汪兆鹏;赵亚",[],[],{"resultType":387,"id":595,"title":596,"abstract":597,"orgName":598,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":599,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":600,"ipc":601,"inventors":602,"tags":603,"tagNames":604},"gpi2_0677","基于大模型记忆的法律知识问答方法、装置、设备及介质","本发明属于人工智能与法律交叉技术领域，具体提供了一种基于大模型记忆的法律知识问答方法、装置、设备及介质，方法包括：构建记忆库；将用户输入的有效法律信息转化为标准化记忆单元；将标准化记忆单元存储于记忆库；对用户当前法律咨询问题进行意图识别，判断用户当前法律咨询问题是否需要结合历史记忆进行理解；召回相关标准化记忆单元并加载至工作区，形成结构化上下文；根据本轮用户输入的候选记忆单元与已加载至工作区的历史记忆之间的关系标签，确定本轮用户输入的答复生成策略，生成本轮用户输入的法律答复结果，并根据法律答复结果对记忆库进行回写。该方法旨在提升法律智能问答系统对历史信息的组织能力、检索能力和一致性维护能力。","长沙市智为信息技术有限公司","2026.08.28#公开;2026.09.15#实质审查的生效;2026.09.22#授权","CN202611139679.1","G06F16\u002F334;G06F16\u002F3329;G06F16\u002F31;G06N5\u002F04","黄惟;康占英;刘志;徐伯辰;刘优;李芳芳;王艺权",[],[],{"resultType":387,"id":606,"title":607,"abstract":608,"orgName":567,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":451,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":609,"ipc":610,"inventors":611,"tags":612,"tagNames":613},"gpi2_0153","基于工程模型和车载定位信息的三维路网提取方法及设备","本申请公开了一种基于工程模型和车载定位信息的三维路网提取方法及设备，涉及三维地理信息处理领域，该方法包括：获取目标山区的车载定位数据；根据任一第一道路点的车载定位数据的平面坐标，进行BIM模型投影，得到若干个BIM投影点，根据任一第二道路点的车载定位数据的平面坐标，进行GIS实景模型投影，得到若干个GIS投影点，第一道路点是地下隧洞内的定位模块采集的车载定位数据的任一定位点，第二道路点是任一路段的车载定位数据的任一定位点；选取Z坐标最低的BIM投影点的三维坐标为该任一第一道路点的三维坐标，并选取Z坐标最低的GIS投影点的三维坐标为该任一第二道路点的三维坐标；本申请精准全面地获取三维道路数据。","CN202611105562.1","G06T17\u002F05;G06T17\u002F20","周弘昊;马迎浩;张嘉敏",[],[],{"resultType":387,"id":615,"title":616,"abstract":617,"orgName":471,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":618,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":619,"ipc":620,"inventors":621,"tags":622,"tagNames":623},"gpi2_0656","基于时空协同的工业缺失数据故障根因诊断方法及系统","本发明提供一种基于时空协同的工业缺失数据故障根因诊断方法及系统，通过获取工业过程的多变量时间序列及观测状态，构建二值掩码矩阵；融合时间属性编码与节点编码生成位置嵌入，并按掩码初始化节点表示，使缺失节点仅包含位置嵌入，观测节点融合真实观测值；基于时滞因果概率矩阵采样因果图，通过因果引导路径聚合因果父节点的历史有效观测特征，通过时间自上下文路径提取变量的时间演化特征，融合后重构缺失数据；交替优化编码器参数与时滞因果概率矩阵，获得有向因果邻接矩阵；结合各节点的因果传播深度、传播范围及入度计算根因得分，将得分最高变量对应的设备或工艺环节确定为故障根因，实现缺失工业数据条件下故障传播关系重构与根因定位。","2026.08.25#公开;2026.09.11#实质审查的生效;2026.09.18#授权","CN202611139823.1","G06F18\u002F20;G06F18\u002F15;G06F18\u002F22;G06F18\u002F25;G06F18\u002F27;G06N3\u002F045;G06N3\u002F0464;G06N3\u002F0499;G06N5\u002F04;G06F123\u002F00;G06F123\u002F02;G06N3\u002F084","吴德浩;高宝康;徐佳婧;黄科科;周晶;阳春华;桂卫华",[],[],{"resultType":387,"id":625,"title":626,"abstract":627,"orgName":628,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":588,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":629,"ipc":630,"inventors":631,"tags":632,"tagNames":633},"gpi2_0314","基于通导融合体制的卫星信号自适应捕获方法","本申请涉及一种基于通导融合体制的卫星信号自适应捕获方法。所述方法包括：设置初始切换门限与步进值；将当前切换门限作为判决阈值，基于卫星过境全程信噪比变化规律统计辅助捕获模式和直接捕获模式的有效接收帧数与硬件资源开销占比；计算整体接收成功率与总硬件资源开销占比，利用权重系数计算整体评分数值；通过迭代寻优选取整体评分数值最高的切换门限作为最佳切换门限；卫星实际过境时将实时信噪比与最佳切换门限比较以选择捕获模式完成信号捕获。采用本方法能够在保证接收成功率的同时优化硬件资源开销，实现高捕获成功率与低复杂度硬件的折中。","湖南中电星河电子有限公司","CN202611101144.5","H04B7\u002F185;G01S19\u002F24;G01S19\u002F37","周远;杨宇;李彬;廖晔",[],[],{"resultType":387,"id":635,"title":636,"abstract":637,"orgName":638,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":408,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":639,"ipc":640,"inventors":641,"tags":642,"tagNames":643},"gpi2_0220","基于频域扰动分析的垃圾焚烧炉燃烧控制方法、装置、设备及介质","本申请公开了基于频域扰动分析的垃圾焚烧炉燃烧控制方法、装置、设备及介质，涉及垃圾焚烧炉燃烧控制技术领域，从垃圾焚烧炉的炉膛火焰图像中提取出感兴趣区域图像；对感兴趣区域图像进行预处理，对预处理后图像进行二维快速傅里叶变换，得到频域矩阵，计算功率谱；对功率谱中的频谱区域进行划分，得到不同频率范围的频谱区域，利用不同频率范围的频谱区域，确定预设频率范围下的单帧火焰能量比；基于统计窗口内的单帧火焰能量比，确定窗口统计特征；基于火焰频域扰动指数确定燃烧扰动等级，利用燃烧扰动等级生成控制指令，对垃圾焚烧炉进行燃烧控制，避免形成滞后式控制模式、单帧图像误判及完全依赖人工经验，提高垃圾焚烧炉燃烧控制的稳定性。","昕彤赋能(长沙)人工智能行业应用系统有限公司","CN202611097444.0","F23G5\u002F50;F23N1\u002F02;F23N5\u002F00;G06V10\u002F25","李庭树;皮直平;张水波;皮细威;李帅辉",[],[],{"resultType":387,"id":645,"title":646,"abstract":647,"orgName":648,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":649,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":650,"ipc":651,"inventors":652,"tags":653,"tagNames":654},"gpi2_0493","深海矿石水力输送软管快速对接与解脱装置及其使用方法、深海矿石中转系统及中转方法","本发明公开了一种深海矿石水力输送软管快速对接与解脱装置及其使用方法、深海矿石中转系统及中转方法，深海矿石水力输送软管快速对接与解脱装置，包括设于输送软管一端的软管接头总成、设于采矿车上的采矿车接头导向管总成以及设于采矿车上的牵引执行机构。该装置及方法可以解决传统接头对位精度差、密封易损及分离结构不可复用、无法适配多工位循环开采等问题，是一种全自动、可无损复用的对接解脱方案。","长沙矿冶研究院有限责任公司","2026.08.18#公开;2026.09.04#实质审查的生效;2026.09.29#授权","CN202611089138.2","F16L33\u002F02;F16L1\u002F26;F16L1\u002F16;F16L1\u002F20","吴冬华;郑皓;程阳锐;李俊",[],[],{"resultType":387,"id":656,"title":657,"abstract":658,"orgName":471,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":408,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":659,"ipc":660,"inventors":661,"tags":662,"tagNames":663},"gpi2_0230","深海采矿车入水过程的水动力载荷损失预测方法及系统","本发明提供一种深海采矿车入水过程的水动力载荷损失预测方法及系统，方法包括：获取深海采矿车的相关参数构建CFD仿真模型，并提取车体速度‑时间数据拟合速度衰减函数；分别针对车体完全浸没状态计算稳态总水动力，针对车体部分浸没且空腔未闭合状态基于动量定理建立瞬态水动力表达式；基于动量守恒定律反演附加质量表达式，同时构建无量纲空腔体积与弗劳德数的幂律关系并拟合得到空腔体积表达式；将空腔体积代入附加质量表达式进行修正，并代入瞬态水动力表达式计算空腔闭合前的水动力峰值，结合稳态水动力值得到水动力载荷损失预测值。本发明能够精准预测采矿车入水过程中空腔闭合引起的水动力载荷损失，为缆绳张力动态控制提供数据依据。","CN202611099692.9","G06F30\u002F28;G06Q50\u002F02;G06F30\u002F15;G06F119\u002F14;G06F113\u002F08","戴瑜;黄鑫;朱湘;刘成龙;王安杰",[],[],{"resultType":387,"id":665,"title":666,"abstract":667,"orgName":577,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":483,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":668,"ipc":669,"inventors":670,"tags":671,"tagNames":672},"gpi2_0379","病变过程基于大模型的群体特征提取方法及系统","本发明涉及大数据模型技术领域，公开一种病变过程基于大模型的群体特征提取方法及系统，以通过有向图及边权重的变化演绎病变过程并提升所提取群体特征的可靠性。方法包括：基于脑影像和基因数据构建每个被试的基因‑脑区有向图；分解为强连通分量，选根节点构造有向树；经层间、层内传递更新特征，对多入度节点剪枝直至入度为1，得到关键支撑树；融合根节点得关键子图；经扩散反卷积重构生成图，与真实图共同训练判别器，共享参数放大疾病特征差异；收敛后基于群体统计节点重要度，结合增量搜索筛选病变脑区和风险基因。","CN202611088748.0","G16H50\u002F70;G06F18\u002F2113;G06F18\u002F2415;G06V10\u002F771;G06V10\u002F82;G16H50\u002F30;G16B40\u002F00;G06N3\u002F045;G06N3\u002F042;G06N3\u002F0464;G06N3\u002F0475;G06N3\u002F0455;G06N3\u002F082;G06N3\u002F084;G06N3\u002F094","毕夏安;陈大猷;沈文卓;龙晴;宋世超;徐露允;邢兆旭;方锦雄;于小海;张锦",[],[],{"resultType":387,"id":674,"title":675,"abstract":676,"orgName":677,"province":392,"date":393,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":419,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":678,"ipc":679,"inventors":680,"tags":681,"tagNames":682},"gpi2_0546","道路隐蔽病害不规则形态规则化方法、装置、设备及介质","本申请公开了一种道路隐蔽病害不规则形态规则化方法、装置、设备及介质，涉及道路病害检测与结构性能评估技术领域，包括：通过依托三维探地雷达多属性数据分割病害，基于病害几何特征构建等效惯性椭球作为几何初始模型，融合雷达多介质属性映射损伤因子获取模量约束，搭建多约束多物理场加权误差优化模型，借助代理模型全局迭代寻优得到最优等效椭球与模量，再开展有限元力学评价。本申请既保留真实病害宏观力学几何与刚度特征，提升等效仿真精度，又规避不规则模型网格剖分难题，依托代理模型大幅降低迭代计算量，适配道路病害批量化结构承载力评估。","长沙理工大学;内蒙古自治区交通运输科学发展研究院;乌兰察布交通投资集团有限公司","CN202611174286.4","G06F30\u002F23;G06T17\u002F20;G06F30\u002F27;G06F30\u002F13;G06F111\u002F08;G06F111\u002F10;G06F119\u002F14;G06F111\u002F04","于静;张慧敏;吕松涛;张乐;邢亚东;侯贵;白勇;李波;李喆;鲁巍巍;杨毅;韦慧;张平;龚海涛;段海辉;唐述;谭攀;李园葧;阿布都克热木·多力昆",[],[],{"resultType":387,"id":684,"title":685,"abstract":686,"orgName":687,"province":392,"date":688,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":689,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":690,"ipc":691,"inventors":692,"tags":693,"tagNames":694},"gpi_00107","9-芴甲氧羰酰丁二酰亚胺酯的纯化工艺","本发明公开了一种采用去离子水低温析晶纯化9-芴甲氧羰酰丁二酰亚胺酯(简称FMOC-OSu)的方法。本发明所提供的FMOC-Osu纯化工艺简单，条件温和，原料易得且能完全循环使用，收率高，易于工业化生产。精制纯化的产品纯度高，单个杂质含量低，有效的控制了9-芴甲烯杂质生成，使产品质量稳定，完全能满足多肽合成中保护氨基酸的要求。","湖南化工研究院","2026-10-12T00:54:35.109Z","2008.01.02#公开;2008.02.27#实质审查的生效;2011.11.09#授权","CN200710034302.0","C07D207\u002F40","臧阳陵;徐建兵;杨兴武;涂昌位;邓志谋",[],[],{"resultType":387,"id":696,"title":697,"abstract":698,"orgName":699,"province":392,"date":688,"trl":11,"transferMode":11,"keywords":11,"industry":11,"patentType":394,"legalStatus":700,"isOpenLicense":396,"isRevitalized":397,"techMaturity":11,"starRating":11,"licenseFeeText":11,"patentNo":701,"ipc":702,"inventors":703,"tags":704,"tagNames":705},"gpi_00964","一种光束任意整形新方法及装置","本发明涉及一种光束任意整形新方法及装置，可用于将入射光束的光强整形成所需的分布，并且能够有效地补偿光强整形和光学系统自身所带来的光束波前相位变化。本发明采用双变形镜、双图像传感器结合随机并行梯度下降算法实现器件构成自适应闭环整形系统，由图像传感器实时检测整形后的光束的远场和近场光强分布信息，经算法控制器反馈控制变形镜，校正入射光束的光强分布和相位分布。本发明具有效率高、使用方便等优点。","中国人民解放军国防科学技术大学","2009.12.30#公开;2010.02.24#实质审查的生效;2011.09.28#授权","CN200910043997.8","G02B27\u002F00;G02B27\u002F09;G02B26\u002F06","马浩统;周朴;许晓军;刘泽金;陈金宝;王小林;马阎星;李霄;习锋杰;汪晓波;郭少锋;吴武明;姜宗福;舒柏宏",[],[],1,3]