Petroleum downhole operation safety staring and controlling method based on artificial intelligence

Abstract

The invention discloses a petroleum downhole operation safety staring and controlling method based on artificial intelligence. The method comprises the following steps: S1, a network PTZ camera is arranged in a manner of covering petroleum downhole operation; s2, a user selects a to-be-performed operation safety staring and control analysis mode in real time through a client, and automatically adjusts a corresponding PTZ camera to a corresponding operation scene to perform staring and control analysis; in other words, the hoisting operation, the high-pressure operation and the swabbing operation are analyzed respectively; s3, on-duty clothes detection is performed on the human body in the operation area, and whether the human body wears a safety helmet, a uniform and a standard shoe or not can be detected. Herein, the network camera is erected in a petroleum downhole operation system, downhole operation and equipment are monitored in real time, the operation state of the equipment is known in time, and the operation safety of workers is monitored. According to the method, the safety basic management level can be comprehensively improved, major safety production hidden dangers are eliminated, and safety management is improved.

Description

technical field [0001] The invention relates to the technical field of downhole operation safety, in particular to an artificial intelligence-based monitoring and control method for oil downhole operation safety. Background technique [0002] Petroleum Downhole Special Operation Company is a petroleum engineering service unit integrating production, scientific research, and technical services. It is mainly engaged in oil and gas field engineering technologies such as oil and gas well overhaul, sidetracking, fracturing, acidizing, oil (gas) testing, testing, and coalbed methane. service work. To ensure safe production, there must be well-functioning equipment, and good equipment management will eliminate most of the hidden dangers of accidents and prevent the occurrence of most safety accidents. [0003] For example, the Chinese utility model patent with the publication number CN102291575A discloses an intelligent video monitoring system for fully mechanized mining face, inc...

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Problems solved by technology

[0004] However, the existing video surveillance systems aimed at the safety of underground operations are almost the same as the above-mentioned patents, which only upload the images of the monitoring points in real time for the monitoring personnel to view, but cannot make any pre-judgment and alarm for potential safety hazards, so there are certain limitations Sexuality, unable to meet security management requirements

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