A Study on the Dynamic Intelligent Monitoring of Braking Performance of Cargo Train Based on Artificial Intelligence

In recent years, artificial intelligence technology has been widely used in many fields and has become the focus of social attention. In this paper, by adopting the YOLOV3 algorithm in the artificial intelligence algorithm, Introducing CIOU regression to optimize loss function, Solve the problem of inconsistent optimization direction of mean square error (MSE) loss, and make the target box regression more stable. At the end of the article, the method proposed in this paper can achieve the identification of Cargo train brake component and achieve a high recognition rate, thereby providing a safe operation of Cargo train driving to avoid driving accidents caused by braking failure.