Intelligent Monitoring System for Field Leakage of Water Injection Process of Offshore Platform Based on YOLOv5s-CBAM
To address the crude oil leakage problem at the offshore platform injection process site,the YOLOv5s model is improved by adopting a dual-channel attention mechanism to achieve intelligent leakage detection.In order to build an algorithm model that can achieve high-precision liquid leakage detection,this paper introduces a dual-channel attention mechanism on the basis of the YOLOv5s model to enhance the feature extraction capability of the model,so as to achieve automatic detection of liquid leakage in the monitoring video.Finally,function and performance tests are conducted on this model.Test results show that this model is capable of significantly improving the detection capability of liquid leakage in the field of water injection process on offshore platform.
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