A Novel Intelligent Working Monitoring and Guarding System of Smart Substations Based on UWB Positioning and Aerial LiDAR Data

—This paper analyzes the current status of power production safety, introduces the realization principle of intelligent working guarding system in substations, and delves into the technologies of positioning and intelligent video analysis based on ultra wideband (UWB) technology and high resolution digital spatial data of the substations. Based on the acquired data, an intelligent working monitoring and guarding system with various functions, including task management, realtime monitoring, alarm warning, region division, and replaying of historic data, has been developed by utilizing the technologies of 3-Dimension (3D) modeling of the substation by using aerial light detection and raging (LiDAR) and virtual reality (VR) for practical implementation.

[1]  Matti Pietikäinen,et al.  Automatic Dynamic Texture Segmentation Using Local Descriptors and Optical Flow , 2013, IEEE Transactions on Image Processing.

[2]  Derek D. Lichti,et al.  Automatic extraction of insulators from 3D LiDAR data of an electrical substation , 2013 .

[3]  Xue Wang,et al.  UWB Positioning System Based on Joint TOA and DOA Estimation: UWB Positioning System Based on Joint TOA and DOA Estimation , 2010 .

[4]  P. Liu,et al.  Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds , 2015 .

[5]  Zhen Yu,et al.  Research on the Substation Intelligent Protection System for Operations Personnel Based on the UWB Positioning Technology , 2015 .

[6]  Juha Hyyppä,et al.  Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography , 2013, Remote. Sens..

[7]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[8]  Andrés Bruhn,et al.  Adaptive Integration of Feature Matches into Variational Optical Flow Methods , 2012, ACCV.

[9]  Xin Wang,et al.  Study on inspection robot for substation based on ultra-wide-band wireless localization system , 2015, 2015 IEEE International Conference on Information and Automation.

[10]  Yi Ke-chu.  Development and Prospect of Ultra-Wideband Localization Research and Application , 2011 .

[11]  Arko Lucieer,et al.  Development of a UAV-LiDAR System with Application to Forest Inventory , 2012, Remote. Sens..

[12]  Wang Peng,et al.  Real-time moving object detection for video monitoring systems , 2006 .