Oil pipeline warning method based on personnel and vehicle behavior analysis

Abstract

The invention provides an oil pipeline warning method based on personnel and vehicle behavior analysis. The oil pipeline warning method comprises the steps that S1, a sample set used for training a model is collected; processing and training the sample set, and outputting a training model; S2, obtaining a to-be-detected image, and preprocessing the to-be-detected image; and S3, processing the to-be-detected image by using the training model, detecting the positions of personnel and vehicles in the image to obtain a detection structure, setting a confidence threshold value to be 0.5, and outputting target information of which the confidence score is greater than 0.5 in a detection result. According to the method, different target behaviors are divided in detail; aiming at the behaviors, warning prompts of different degrees can be sent to the target in the monitoring area; and a basis is provided for workers to formulate countermeasures, suspicious persons and vehicles can be effectivelyprevented from stealing petroleum, the vehicles can be effectively prevented from running and staying above oil pipelines of heavy vehicles for a long time, and accidental damage to the oil pipelinesin the construction process that construction vehicles mistakenly enter a warning area is avoided.

Description

technical field [0001] The invention belongs to the field of video monitoring, in particular to an oil pipeline warning method based on personnel and vehicle behavior analysis. Background technique [0002] In recent years, my country's oil pipeline construction has grown rapidly. The application of video surveillance technology in the field of oil pipeline protection can effectively avoid illegal mining, nearby vehicle construction, and heavy vehicles driving above the pipeline. The warning function of personnel and vehicles in the existing monitoring technology cannot meet the needs of oil pipeline protection, which is mainly reflected in the fact that the current demand for oil pipeline protection not only needs to detect Recognize various vehicle types and accurately judge whether the personnel and vehicles in the scene have resident, stolen, or constructed in the scene through continuous video images, and send corresponding alarms to the staff according to different beh...

AI Technical Summary

Problems solved by technology

The warning function of personnel and vehicles in the existing monitoring technology cannot meet the needs of oil pipeline protection, which is mainly reflected in the fact that the current demand for oil pipeline protection not only needs to detect Recognize various vehicle types and accurately judge whether the personnel and vehicles in the scene have resident, stolen, or constructed in the scene through continuous video images, and send corresponding alarms to the staff according to different behaviors , in order to achieve the purpose of real-time and efficient oil pipeline protection

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