基于数字孪生技术的变电站三维数字智能巡检系统

Guobing Liu, Zhenliang Chen, Limin Xiao, Yixiang Li
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引用次数: 0

摘要

基于数字孪生技术设计了变电站三维数字化智能巡查系统,对变电站设备进行智能巡查,有效挖掘变电站安全隐患。物理实体层利用摄像头和传感器采集变电站设备图像、参数数据和环境信息,并对采集到的数据进行有效预处理;数字孪生虚拟模型层调用物理实体层的相关数据,利用SolidWorks、3D MAX和Unity3D软件构建变电站的数字孪生虚拟模型;应用层根据网络传输层发送的变电站数据规划巡逻路径,识别设备的电子标签。在此基础上,巡检模块采用Super SAB神经网络设备状态感知与预测方法,对变电站设备状态进行有效感知和预测,并在人机交互层将巡检结果可视化。实验结果表明,该系统能够有效地对变电站设备进行巡检,通过虚拟视觉呈现巡检结果,对变电站设备进行智能巡检,并将其应用到实际工作中,能够在变电站中取得较好的智能巡检效果。
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Three-dimensional digital intelligent patrol inspection system for substation based on digital twin technology
Design a three-dimensional digital intelligent patrol system for substation based on digital twin technology, and intelligently patrol the substation equipment to effectively excavate the potential safety hazards of the substation. The physical entity layer uses cameras and sensors to collect the image of substation equipment, parameter data and environmental information, and carries out effective preprocessing of the acquired data; The digital twin virtual model layer calls the relevant data of the physical entity layer, and uses SolidWorks, 3D MAX and Unity3D software to build the digital twin virtual model of the substation; The application layer plans the patrol path and identifies the electronic tag of the equipment according to the substation data sent by the network transmission layer. On this basis, the patrol module applies the Super SAB neural network equipment state perception and prediction method to effectively perceive and predict the status of the substation equipment, and visualizes the patrol results on the human-computer interaction layer. The experimental results show that the system can effectively inspect the substation equipment, present the inspection results through virtual vision, intelligently inspect the substation equipment, and apply it to practical work, which can achieve better intelligent inspection results in the substation.
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