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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":386,"id":436,"title":437,"abstract":438,"orgName":439,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":394,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":440,"ipc":441,"inventors":442,"tags":443,"tagNames":444},"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":386,"id":446,"title":447,"abstract":448,"orgName":449,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":450,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":451,"ipc":452,"inventors":453,"tags":454,"tagNames":455},"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":386,"id":457,"title":458,"abstract":459,"orgName":460,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":407,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":461,"ipc":462,"inventors":463,"tags":464,"tagNames":465},"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":386,"id":467,"title":468,"abstract":469,"orgName":470,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":471,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":472,"ipc":473,"inventors":474,"tags":475,"tagNames":476},"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":386,"id":478,"title":479,"abstract":480,"orgName":481,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":482,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":483,"ipc":484,"inventors":485,"tags":486,"tagNames":487},"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":386,"id":489,"title":490,"abstract":491,"orgName":492,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":450,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":493,"ipc":494,"inventors":495,"tags":496,"tagNames":497},"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":386,"id":499,"title":500,"abstract":501,"orgName":502,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":450,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":503,"ipc":504,"inventors":505,"tags":506,"tagNames":507},"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":386,"id":509,"title":510,"abstract":511,"orgName":512,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":513,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":514,"ipc":515,"inventors":516,"tags":517,"tagNames":518},"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":386,"id":520,"title":521,"abstract":522,"orgName":523,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":524,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":525,"ipc":526,"inventors":527,"tags":528,"tagNames":529},"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":386,"id":531,"title":532,"abstract":533,"orgName":534,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":513,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":535,"ipc":536,"inventors":537,"tags":538,"tagNames":539},"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":386,"id":541,"title":542,"abstract":543,"orgName":544,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":545,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":546,"ipc":547,"inventors":548,"tags":549,"tagNames":550},"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":386,"id":552,"title":553,"abstract":554,"orgName":555,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":556,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":557,"ipc":558,"inventors":559,"tags":560,"tagNames":561},"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":386,"id":563,"title":564,"abstract":565,"orgName":566,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":513,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":567,"ipc":568,"inventors":569,"tags":570,"tagNames":571},"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":386,"id":573,"title":574,"abstract":575,"orgName":576,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":450,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":577,"ipc":578,"inventors":579,"tags":580,"tagNames":581},"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":386,"id":583,"title":584,"abstract":585,"orgName":586,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":587,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":588,"ipc":589,"inventors":590,"tags":591,"tagNames":592},"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":386,"id":594,"title":595,"abstract":596,"orgName":597,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":598,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":599,"ipc":600,"inventors":601,"tags":602,"tagNames":603},"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":386,"id":605,"title":606,"abstract":607,"orgName":566,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":450,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":608,"ipc":609,"inventors":610,"tags":611,"tagNames":612},"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":386,"id":614,"title":615,"abstract":616,"orgName":470,"province":391,"date":392,"trl":10,"transferMode":10,"keywords":10,"industry":10,"patentType":393,"legalStatus":617,"isOpenLicense":395,"isRevitalized":396,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":618,"ipc":619,"inventors":620,"tags":621,"tagNames":622},"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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