面向数字孪生的变电站三维场景自动目标识别

Automatic Target Recognition of Substation 3D Scene for Digital Twin

为提高自动目标识别的准确性,发挥自动目标识别对变电站运维效果的促进作用,提出面向数字孪生的变电站三维场景自动目标识别方法。构建变电站三维场景自动目标识别模型;利用模型架构的感知模块采集变电站实时状态数据,并采用通信模块将状态数据传输到数字孪生模块,该模块依据接收到的数据信息,通过知识图谱构建的知识库和服务模块的虚实数据处理单元,实现变电站信息的深度融合和全景映射;使用NURBS(non-uniform rational b-splines)曲面重构方法,创建变电站三维场景模型。前视自动目标识别单元在变电站三维场景模型中依据知识库,采用前视模板匹配技术实现对单一目标和多目标的准确识别。实验结果表明:该模型在简单和复杂场景下的变电站三维建模效果均较优异,在阴天和雾天仍能准确识别出变电站中的全部目标。

In order to improve the accuracy of automatic target recognition and promote the effect on substation operation and maintenance,automatic target recognition of substation 3D scene for digital twin is proposed.The automatic target recognition model for the three-dimensional scene of the substation is constructed.The perception module of the model is used to collect the real-time status data of substation,and the communication module is used to transmit the data to digital twin modules.This module,based on the received data information,realizes the deep fusion and panoramic mapping of substation information through the knowledge base constructed by the knowledge map and the virtual and real data processing unit of the service module.Non-uniform rational b-splines(NURBS)surface reconstruction method is used to create a three-dimensional scene model of substation.The forward looking automatic target recognition unit uses the forward looking template matching technology to accurately recognize the single target and multiple targets in the three-dimensional scene model of the substation according to the knowledge base.The experimental results show that the model has excellent 3D modeling effect in both simple and complex scenes.In cloudy and foggy days,the model can still accurately identify all the targets in substation.