Research on Machine Vision Based Monitoring and Recognition Methods for Substation Equipment Status
The existing substation automatic inspection mode has low effectiveness and poor work quality,which is difficult to ensure the safety of inspection personnel.Therefore,this paper studies an intelligent substation equipment inspection system based on machine vision,which uses artificial intelligence technologies such as machine vision and depth learning to carry out intelligent inspection and remote operation and maintenance of substation equipment.It can replace manual patrol inspection,improve the efficiency and real-time of patrol inspection,locate substation equipment faults,help identify faults and give corresponding treatment opinions,speed up accident treatment,reduce the personal safety risk of patrol maintenance personnel in bad weather,ensure the safety and stability of substation equipment,and provide strong support for the construction of new power system.At the same time,taking a 500 kV substation as an example,it can be seen that the system can save 5.63 hours of working time in the power failure and switching operation of a single main transformer,which proves the practicality and efficiency of the system.
NETL
NSTL
万方数据
