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；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":8,"id":80,"title":81,"abstract":82,"orgName":83,"province":13,"date":14,"trl":15,"transferMode":15,"keywords":15,"industry":15,"patentType":16,"legalStatus":30,"isOpenLicense":18,"isRevitalized":19,"techMaturity":15,"starRating":15,"licenseFeeText":15,"patentNo":84,"ipc":85,"inventors":86,"tags":87,"tagNames":88},"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":8,"id":90,"title":91,"abstract":92,"orgName":93,"province":13,"date":14,"trl":15,"transferMode":15,"keywords":15,"industry":15,"patentType":16,"legalStatus":94,"isOpenLicense":18,"isRevitalized":19,"techMaturity":15,"starRating":15,"licenseFeeText":15,"patentNo":95,"ipc":96,"inventors":97,"tags":98,"tagNames":99},"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":8,"id":101,"title":102,"abstract":103,"orgName":104,"province":13,"date":14,"trl":15,"transferMode":15,"keywords":15,"industry":15,"patentType":16,"legalStatus":105,"isOpenLicense":18,"isRevitalized":19,"techMaturity":15,"starRating":15,"licenseFeeText":15,"patentNo":106,"ipc":107,"inventors":108,"tags":109,"tagNames":110},"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":8,"id":112,"title":113,"abstract":114,"orgName":115,"province":13,"date":14,"trl":15,"transferMode":15,"keywords":15,"industry":15,"patentType":16,"legalStatus":73,"isOpenLicense":18,"isRevitalized":19,"techMaturity":15,"starRating":15,"licenseFeeText":15,"patentNo":116,"ipc":117,"inventors":118,"tags":119,"tagNames":120},"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":8,"id":122,"title":123,"abstract":124,"orgName":125,"province":13,"date":14,"trl":15,"transferMode":15,"keywords":15,"industry":15,"patentType":16,"legalStatus":73,"isOpenLicense":18,"isRevitalized":19,"techMaturity":15,"starRating":15,"licenseFeeText":15,"patentNo":126,"ipc":127,"inventors":128,"tags":129,"tagNames":130},"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":8,"id":132,"title":133,"abstract":134,"orgName":135,"province":13,"date":14,"trl":15,"transferMode":15,"keywords":15,"industry":15,"patentType":16,"legalStatus":136,"isOpenLicense":18,"isRevitalized":19,"techMaturity":15,"starRating":15,"licenseFeeText":15,"patentNo":137,"ipc":138,"inventors":139,"tags":140,"tagNames":141},"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","CN2026110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