R&D and application of intelligent monitoring system for coal conveying belt based on video frame extraction technology
This paper introduces the research and development process of a coal conveyor belt intelligent monitoring system based on video frame extraction technology,as well as the effect and value of the system in practice,aiming at solving the prob-lems of the existing coal conveyor system and improving its safety and stability.The system utilizes video frame extraction technol-ogy to monitor the operating status and environmental conditions of the coal conveyor belt in real time,and realizes automatic i-dentification and comparison through deep learning modeling to warn of potential problems such as tearing,coal blockage,deflec-tion,intrusion,and foreign objects.The experimental results show that the system has the advantages of good real-time monitoring effect,high precision of deep learning modeling,simple measurement and control integration,good system stability,and obvious e-conomic benefits,which can greatly improve the operational efficiency and safety of coal conveyor belts,reduce the occurrence of equipment failures and safety accidents.
video frame extraction techniquecoal conveyor beltintelligent monitoringbig data processingdeep learning
NETL
NSTL
万方数据
维普
