矿山智能视频分析与预警系统研究

Research on intelligent video analysis and early warning system for mine

针对现有的矿山视频监控系统只能实现环境和设备运行监控,无法对人员等动目标行为实施有效监控的问题,设计了一种矿山智能视频分析与预警系统,介绍了系统组成及架构,以胶带堆煤检测和人的行为检测与识别为例,阐述了系统实现原理。在煤矿井下进行了胶带堆煤检测、危险区域人员检测、系统识别率和响应时间试验,结果表明系统能够有效检测出胶带上的煤量及危险区域范围,识别响应时间不大于2s,识别成功率不低于98%。

For the problem that existing mine video monitoring system could only monitor environment and equipment operation status,but could not effectively monitor moving targets behavior such as person,an intelligent video analysis and early warning system for mine was designed.The system composition and architecture were introduced,and system realization principle was expounded taking belt coal-piling detection and person behavior detection and recognition as examples.Some tests were taken out in coal mine underground including belt coal-piling detection,person detection in danger area,system recognition rate and system response time.The tests results show that the system can effectively detect coal amount on belt and danger area range,whose recognition response time is not more than 2 seconds and successful recognition rate is not less than 98%.