Research And Implementation Of Substation Operation Risk Management And Control Based On Augmented Reality Technology

In view of the current risk of substation operation,this paper designs and constructs a substation operation risk management and control system based on augmented reality technology,which uses augmented reality technology and AR head display as the medium to realize the operation guidance,behavior supervision,remote assistance,personnel trajectory positioning and other functions of substation operation.Considering that augmented reality technology must adapt to some special requirements of substation operation,three-dimensional registration technology and virtual-real fusion technology in augmented reality technology are improved and optimized to make it more real-time and accurate.In addition,the very important indoor wireless positioning technology applied in the design system in this paper is improved on the basis of some current studies.Based on the above research,the system of this paper is constructed,and it is proved in practice that the substation operation risk management and control system based on augmented reality technology designed in this paper can improve the safety and reliability of substation operation and reduce the safety hidden danger of operation.The research work in this paper mainly includes the following points:First of all,in view of the long delays that may occur in the three-dimensional registration process of augmented reality technology and the prone to incorrect registration results,as well as the safety and real-time requirements of substation operations,a three-dimensional registration method based on ORB-Tanimoto is proposed,which is based on ORB A three-dimensional registration method for identifying and matching features,and then combining it with the Tanimoto similarity algorithm to further improve the matching accuracy.Secondly,in response to the problem of false occlusion relations that easily occur in the process of virtual and real occlusion,this paper proposes a virtual and real fusion method combined with semantic segmentation technology,that is,based on the virtual and real occlusion method based on image analysis contour extraction,combined with semantic segmentation technology to improve virtual and real occlusion The accuracy of the fusion,thereby improving the quality of the virtual and real fusion results.Third,in order to meet the requirements of the design system of this article,this article proposes a Wi Fi-UWB indoor wireless positioning method based on deep learning,that is,in the offline phase of Wi-Fi fingerprint wireless positioning,UWB technology is used to establish an offline database to save time and improve positioning efficiency.The data is trained with a deep neural network,and finally the model is obtained.Finally,based on the above three methods,computer technology,and substation environment and data,this paper designs and builds a substation operation risk management and control system based on augmented reality technology and tests it in an experimental site.