Machine vision and data analysis-based intelligent monitoring and management system for operating environment safety of substation of power system

Abstract

The invention discloses a machine vision and data analysis-based intelligent monitoring and management system for operating environment safety of a substation of a power system, which comprises the following steps of: numbering positions of equipment in an outdoor substation, and arranging a plurality of monitoring points on parts of the equipment in the outdoor substation; detecting environment parameter values at the monitoring point positions of the parts on the devices, obtaining the difference values of the environment parameter values at the monitoring point positions of the parts on the devices through comparison, meanwhile, collecting all-dimensional images of the devices, obtaining the foreign matter areas in the all-dimensional images of the devices, analyzing the foreign matter area proportions in the all-dimensional images of the devices are analyzed, comprehensively calculating the operation environment safety influence coefficient of each device in the outdoor substation, comparing the operation environment safety influence coefficient of each device with a preset threshold value, if the operation environment safety influence coefficient of a certain device is larger than the preset threshold value, stopping operation, and sending out early warning reminding. Therefore, the equipment operation environment safety in the outdoor transformer substation is ensured.

Description

technical field [0001] The invention relates to the field of safety monitoring of operating environment, and relates to an intelligent monitoring and management system for operating environment safety of power system substations based on machine vision and data analysis. Background technique [0002] With the deepening of power system reform, outdoor substations should be unattended. Therefore, during the operation of outdoor substations, it is necessary to establish a safe operating environment and realize online monitoring of factors that affect the safety of equipment operating environments in outdoor substations to meet the growing demand for electricity. [0003] At present, the safety monitoring of the equipment operating environment in the existing outdoor substation mainly adopts the method of manual regular inspection for on-site monitoring, which not only wastes a lot of human resources, but also has the characteristics of low timeliness and effectiveness of the de...

AI Technical Summary

Problems solved by technology

[0003] At present, the safety monitoring of the equipment operating environment in the existing outdoor substation mainly adopts the method of manual regular inspection for on-site monitoring, which not only wastes a lot of human resources, but also has the characteristics of low timeliness and effectiveness of the detection data, thereby reducing the labor cost. The accuracy and reliability of the detection data. At the same time, manual timing monitoring cannot detect foreign objects on the equipment in the outdoor substation in time. There are problems of poor real-time performance and no remote monitoring function, which reduces the reliability of the equipment in the outdoor substation and makes the outdoor substation There are huge potential safety hazards in the operating environment of the equipment, which cannot meet people's electricity demand. In order to solve the above problems, an intelligent monitoring and management system for the operating environment safety of power system substations based on machine vision and data analysis is now designed.

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