Oil pipeline warning method based on personnel and vehicle behavior analysis

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