Electric power infrastructure construction site violation identification method and system

Abstract

The invention provides an electric power infrastructure construction site violation identification method and system. The method comprises the following steps: obtaining electric power infrastructure construction site video frame image data; performing equipment feature extraction on the video frame image by using a first neural network model to obtain an equipment feature map; according to the obtained equipment feature map, a preset candidate region generation network is utilized to obtain feature candidate regions of various scales and aspect ratios; and utilizing a preset classification regression network to obtain an equipment identification result according to the obtained equipment feature map and the feature candidate region, and performing field violation judgment according to the equipment identification result. According to the invention, an artificial intelligence deep learning algorithm is adopted to realize rapid identification of various violations of the power infrastructure construction site, and the intelligent identification efficiency and accuracy of violation operation are improved.

Description

technical field [0001] The present disclosure relates to the technical field of electric power engineering, in particular to a method and system for identifying violations at a construction site of electric power infrastructure. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] With the rapid development of social economy and technological development, the construction of electric power infrastructure continues, the traditional inspection mode is still based on a large amount of manpower input, the information acquisition method is traditional, and the source is single, and more rely on manual methods such as telephone and on-site surveys to obtain equipment-related information , the degree of leanness of a single manual operation has fallen into a bottleneck, which cannot fully meet the requirements of lean management in the future. [0...

AI Technical Summary

Problems solved by technology

In terms of process control for the entry of large-scale tools and tools, there is a lack of precise assessment measures and deduction and display tools for placement and height restrictions, which may easily cause safety hazards

At the same time, with the start of the power grid construction and renovation project, the work site is multi-faceted and the construction team is large, and the pressure on safety risk management and control is increasing day by day

[0005] From a subjective point of view, it is easy to cause habitual violations due to personal professional quality, safety awareness, and the pursuit of convenience; As a result, the implementation and supervision during the operation process are not in place, which easily aggravates the safety risk; there are many types of settings, equipment parameters, and equipment status involved in substation inspections. Relying on a completely manual inspection method will bring huge workload. At the same time, it is inevitable that there will be various flaws, which will bring greater security risks.

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