Integrated control system based on coal flow scene monitoring
With the improvement of mine intelligence level and the increase of mining intensity of coal resources,it is imper-ative to ensure the efficient operation of coal transport equipment.The coal flow load foreign body monitoring system has a great impact on the operation of fully-mechanized mining face production and transportation system,and is of great signifi-cance to ensure the safe and efficient mining of mines.In view of the problems that coal flow loads and foreign objects are easy to cause shutdown and destruction of underground equipment,the detection and recognition system for foreign objects,loads and scraper chain breaks in coal flow scenes is constructed by combining dynamic video recognition technology,ma-chine vision image processing technology and deep learning target recognition algorithm,and corresponding control schemes and comprehensive management and control systems under different coal flow scenarios are proposed.It realizes the monito-ring,forecasting,alarm and automatic control of faults in different coal flow scenarios,effectively reduces the failure rate of production and transportation equipment,improves the efficiency of coal transportation and the level of automation,and greatly improves the intelligent level of fully mechanized mining face.
intelligentcoal flow scenefault monitoringdeep learningcomprehensive control
国家科技期刊平台
NSTL
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