Method for early warning workers and dynamic hazard sources based on machine vision technology

Abstract

The invention relates to a method for early warning workers and dynamic hazard sources based on a machine vision technology in the technical field of safety monitoring. The method comprises the following steps: obtaining a monitoring image of a construction site through video data collection equipment, and carrying out target dynamic recognition and tracking on workers and mechanical objects in the image; secondly, automatically extracting key information of a target object in the image according to an image information extraction device, and outputting (di, vi, ci); thirdly, inputting the data into a safety evaluation device, integrating safety risk precursor semantics into a safety state coefficient by utilizing a fuzzy neural network, intelligently judging the safety state of the construction site according to a set safety warning value, and giving an alarm according to the safety state; and finally, returning the safety coefficient and the image to a display screen. According to the method, the machine vision technology and the fuzzy neural network are combined, the early warning system for the situation that the dynamic danger approaches the worker safety state in earthwork construction is constructed through automatic extraction of information in the shot images, operation is easy, the efficiency and timeliness of safety monitoring are improved, and the probability of safety accidents is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of safety monitoring, in particular to a method for early warning of workers and dynamic danger sources based on machine vision technology. Background technique [0002] With the continuous development of urbanization, the construction industry has become one of the indispensable industries to promote urbanization, and construction safety is very important. During the construction process, when workers interact with construction machinery, safety accidents such as collisions may occur, such as transporting and dumping goods in earthworks. Relevant data show that injuries related to collisions with construction machinery and equipment account for a considerable proportion. Construction machinery can be considered a dynamic hazard when it comes too close to workers. On the one hand, workers are too close to dangerous sources, such as mechanical equipment in operation, which is a significant safety hazard at ...

AI Technical Summary

Problems solved by technology

On the one hand, workers are too close to dangerous sources, such as mechanical equipment in operation, which is a significant safety hazard at the earthwork construction site; on the other hand, due to the complexity of the underground engineering construction site, such as site layout, geological conditions and construction technology, etc. , leading to an increase in the safety risks of construction machinery and workers in the process of interactive work

[0003] However, the monitoring of construction safety is generally to prevent and control the unsafe behavior of workers or the unsafe machinery on the construction site, and the control objects are relatively single.

In the actual earthwork construction site, the examples of collision accidents between workers and construction machinery cannot be ignored. Therefore, for the prevention and control management of collision safety accidents between workers on the earthwork construction site and dynamic hazard sources (moving construction machinery), How to provide a method based on machine vision technology to warn workers and dynamic hazards, avoid safety hazards when construction workers interact with nearby machinery, and reduce the probability of safety accidents has become an urgent problem to be solved

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