Distribution network operation video intelligent monitoring method and system

Abstract

The invention provides a distribution network operation video intelligent monitoring method and system, and the method comprises the steps of: S1, obtaining the production task information of the next day in a production information management system, wherein the production task information comprises a task name, the information of a worker in charge and a work ticket; S2, identifying the work ticket, and obtaining safety tool demand information, operation task content and safety measure information; S3, according to the safety tool demand information, carrying out identification, comparison and analysis on the materials taken by the worker in charge; and S4, acquiring corresponding field operation monitoring video data according to the operation task content, performing identification, comparison and analysis on the monitoring video data, and identifying whether site operation safety measures are in place or not based on the operation task content and the safety measure information. According to the invention, the monitoring video data is identified, compared and analyzed based on the production task information, operation site risk visualization and real-time early warning can be realized, safety supervision personnel are assisted to carry out risk intervention, safety measures are enhanced, and safe and stable operation of a power grid is ensured.

Description

technical field [0001] The invention relates to the technical field of video monitoring systems, in particular to a video intelligent monitoring method and system for distribution network operations. Background technique [0002] The function of the traditional video surveillance system is relatively simple. The camera monitors the job site and collects the video information of the job site. If it is necessary to identify abnormal conditions in the job site, a large number of staff are required to manually identify them. The accuracy is difficult to guarantee and the efficiency is low. At present, intelligent identification of distribution network operation video monitoring has not been realized in the power grid system. The video monitoring systems established by companies at all levels mainly rely on manual means to identify the risks of on-site operations. The information is complex and changeable, and it is difficult to comprehensively and accurately determine the illega...

AI Technical Summary

Problems solved by technology

[0002] The function of the traditional video surveillance system is relatively simple. The camera monitors the job site and collects the video information of the job site. If it is necessary to identify abnormal conditions in the job site, a large number of staff are required to manually identify them. The accuracy is difficult to guarantee and the efficiency is low. At present, intelligent identification of distribution network operation video monitoring has not been realized in the power grid system. The video monitoring systems established by companies at all levels mainly rely on manual means to identify the risks of on-site operations. The information is complex and changeable, and it is difficult to comprehensively and accurately determine the illegal operation situation only by manual remote judgment. The abnormal situation on site is generally dealt with afterwards, and the major personal safety liability accidents caused by illegal operations cannot be prevented in advance

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