Electric power personnel safety state intelligent identification method based on stride measurement and medium

Abstract

The invention discloses an electric power personnel safety state intelligent identification method based on stride measurement and a medium. The method comprises the steps of detecting and tracking abounding box of each person in a video picture based on a multi-target tracking algorithm and allocating a personnel ID number, inputting the image in the bounding box of the person into a key point detection algorithm to obtain left and right ankle key points of the human body and correlating the left and right ankle key points with the bounding box of the person, determining a bounding box of aperson whose stride needs to be measured, obtaining corresponding left and right ankle key point data, selecting a measurement ankle, determining a current motion state of the measurement ankle by measuring ankle key points, calculating a moving distance between two adjacent static states of the measurement ankle, recording the moving distance as the stride of the person, and generating person state information, and generating person safety state information based on the person state information and a preset safety rule. No extra manual intervention is needed, only the camera is needed to acquire the test image in real time without wearing other hardware equipment, the operation speed is high, the deployment is convenient, and the method is suitable for different scenes.

Description

technical field [0001] The invention relates to the field of electric power safety, in particular to a method and medium for intelligently identifying the safety state of electric power personnel based on stride measurement. Background technique [0002] The voltage of the high-voltage laboratory is 66kV and above. Voltage is fatal to the human body. Inevitably, laboratories are divided into various work areas and cross-working phenomena. under high voltage. Personnel actions and safety control are particularly important. The existing work control method is usually through the supervision of security blocking personnel, and safety accidents occur from time to time. In order to better ensure the safety of personnel, there is an urgent need for an intelligent identification method for key points in high-voltage laboratories. Through human motion recognition, voice prompts and early warnings can be used to prevent accidents. [0003] Stride size is an important factor in h...

AI Technical Summary

Problems solved by technology

For example, the method of observing the motion state of pedestrians based on video is to accurately measure the foot length and stride of the person in the video through video screenshots, which achieves a higher-precision stride measurement than the sensor method, but the stride measurement in this method The steps require a lot of manual participation and the process is complicated, and the implementation cost is high, so the usage scenarios are relatively limited

[0004] At present, most of the security control is based on the form of security personnel and video recording. This kind of method has the following disadvantages: (1) It depends on the vision of personnel, and cannot cover all, let alone real-time supervision and viewing; (2) The way of recording video It is impossible to warn and prevent accidents in advance, it can only be analyzed at the right time; (3) The theoretical knowledge and experience requirements of personnel are high, and there may be omissions and insufficient supervision

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