At present,the main network line of the regional power grids in China is mainly composed of 220 k V transmission lines.The transmission line of this voltage level plays the main task of power transmission in various places,and its reliability is directly related to the stability and safety of power transmission.The complex geographical environment and extreme climatic conditions have caused many threats to the normal operation of 220 k V transmission lines,and have greatly increased the difficulty of line maintenance and even led to casualties.With the rapid development of network information technology,"Internet +" has become a platform for innovation and development in all walks of life.The safety hazards of transmission lines are mainly due to the lack of monitoring of the line corridor,the failure of early warning,and the inaccurate fault location.The reason is that,in response to this problem,the paper proposes to use video surveillance and "Internet +" to combine real-time monitoring of the operating environment of the line corridor,and to study the intelligent external recognition algorithm based on machine vision to warn the surveillance image.Analysis,timely detection of safety hazards,or rapid location of faults after the accident,to achieve visualization of the line corridor site and intelligent operation and maintenance.In this paper,the research background and engineering application value of the subject are introduced.The status of the transmission line monitoring system,data analysis and processing methods and the key technologies involved are discussed.Based on this,the research objectives of the subject are proposed.Specific research content;Then,from the aspects of video surveillance front-end equipment,data transmission and background service system,network security,etc.,the physical structure and operation mechanism of the system are introduced in detail,and the hardware inspection platform of the transmission line is built.Focusing on the intelligent image recognition technology,the deep learning Faster R-CNN image processing algorithm is adopted,and the intelligent analysis module is embedded in the front-end video monitoring device.On this basis,the upper-level intelligent inspection strategy is proposed to realize “one-button inspection”;Finally,relying on the technical transformation project to be carried out by the company,the technical inspection of a 220 k V transmission line will be carried out,and the inspection system with 20 monitoring front-end equipment will be pre-installed,and the actual inspection case will be verified.The effectiveness of the system approach. |