Electric power engineering safety early warning method based on image data feature difference

Abstract

A power engineering safety early warning method based on the difference of image data characteristics, including: using the emergency wireless communication network environment equipped on the project construction site of the power construction company to collect image data of the facilities to be monitored; according to the basic characteristics of the power construction project, treat the monitoring facilities The image data is modeled to generate typical feature vectors; according to the feature vectors of each image data, the object relationship vector model of the image is constructed, and the center of gravity of the image object relationship vector model is calculated; the initial image object relationship vector model and sampling The image data object relational vector model is used for difference comparison; according to the preset weight value of the power engineering project implementation, the state of the current monitoring facility is judged. The invention establishes a complete electric power engineering project construction safety early warning evaluation system, and provides intelligent project implementation safety early warning references for technical management personnel of electric power engineering projects, so as to reduce engineering accidents.

Description

technical field

[0001] The invention belongs to the field of electric power communication, and relates to a safety early warning in a video surveillance network environment during electric power engineering construction, in particular to a power engineering safety early warning method based on image data feature differences, which is used for engineering management technicians to monitor power engineering project construction On-site safety management to reduce the occurrence of engineering accidents. Background technique

[0002] For a long time, the project location of the power construction company is far away from the urban area, the conditions are difficult, and the means of communication are backward. There is no company-specific LAN coverage, and the signal of the telecommunications and mobile public networks is poor. Digital management and office conditions are poor. Especially in the western part of my country, there are climate characteristics such as sandstorms, ...

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