Method for monitoring border-crossing violation of substation field operation

Abstract

The invention discloses a transformer substation field operation border-crossing violation monitoring method. The method comprises the following steps: acquiring image data of a transformer substation operation field through a mobile terminal camera; identifying the image data according to a pre-constructed mobile terminal detection model, and obtaining detection frames of a triangular pyramid, an operator and a safety helmet in the image data; performing perimeter crossing monitoring according to the triangular cone and the detection frame of the operator; the real height of the safety helmet is obtained based on the RTK positioning technology; performing elevation border crossing monitoring according to the real height and the detection frame of the safety helmet and the detection frame of the operator; the method not only can effectively identify ground violation behaviors, but also can identify elevation border-crossing violation behaviors, and is flexible in deployment, simple in operation, high in real-time performance and good in reusability.

Description

technical field [0001] The invention relates to a monitoring method for out-of-bounds violations of on-site operations in a substation, and belongs to the technical field of intelligent substations. Background technique [0002] The substation site environment is complex, and there are many factors that threaten the human body. In the process of substation construction, it is necessary to quickly and accurately detect and give early warning to operators who are about to enter the dangerous area by mistake, so as to reduce the loss of life and property. However, most of the existing hazardous area detection methods are based on sensors, which require a large number of sensors to be arranged, and the actual operation is complicated. Moreover, attaching sensors to the workers will interfere with the construction operations of the workers. mental state effects. With the development of artificial intelligence, many researchers have begun to combine deep learning technology with...

AI Technical Summary

Problems solved by technology

However, the existing technology mainly relies on a large amount of labeled data for model training, and then detects and recognizes at the back end, does not make full use of the front-end computing resources, consumes too much data transmission, and reduces applicability

[0003] The traditional video surveillance system is mainly manual monitoring, and video forensics is observed after the event; and the architecture design of the video surveillance system is relatively simple, it cannot perform real-time intelligent analysis of video images, cannot realize remote monitoring, and cannot provide timely alarms for abnormal events

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