矿山智能视频分析与预警系统研究

发布时间：2018-05-22 14:57

本文选题：矿山视频监控 + 智能视频分析　；参考：《工矿自动化》2017年11期

【摘要】：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%。
[Abstract]:In order to solve the problem that the existing mine video surveillance system can only realize the environment and equipment operation monitoring and can not effectively monitor the action of human being, a mine intelligent video analysis and early warning system is designed. The composition and structure of the system are introduced, and the realization principle of the system is expounded with the examples of coal stowing detection and human behavior detection and recognition. The coal stacks of belt, the personnel of dangerous area, the recognition rate and the response time of the system are tested in the coal mine. The results show that the system can effectively detect the coal quantity on the belt and the range of the dangerous area. The response time is less than 2 s, and the success rate is no less than 98 s.
【作者单位】：煤炭科学技术研究院有限公司;煤矿应急避险技术装备工程研究中心;北京市煤矿安全工程技术研究中心;
【基金】：煤炭科学技术研究院科技发展基金资助项目(2016JC12;2016CX04) 中煤科工集团智慧矿山专项资助项目(2016-ZHKSZX-03)
【分类号】：TD76;TP391.41

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