Safety Risk Automatic Identification System for Offshore Drilling and Completion Operations Based on Machine Vision
Aiming at the problem of the video monitoring system on offshore platforms,such as insufficient full-time monitoring,lack of proactive warnings and high labor costs,a safety risk automatic identification system in offshore platform based on machine vision is proposed.The system employs rotation detection technology to ensure the accuracy of detection results even when equipment is tilted.By introducing object tracking technology,tracking and measuring distances of personnel and equipment are realized,thereby the operational status of offshore platforms in complex environments can be effectively monitored.The system is deployed and tested on an offshore platform,and the accuracy rate is over 90％for each individual algorithm.The safety and efficiency of offshore drilling and completion operations are significantly enhanced.The occurrence of potential hazards and safety incidents are reduced.It plays great contributions to improving the safety,efficiency,management of offshore drilling and completion operations.
offshore drilling operationsmachine visionobject detectionsafety productionintelligent video monitoring
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