本文選題：礦山視頻監(jiān)控 + 智能視頻分析　； 參考：《工礦自動(dòng)化》2017年11期

【摘要】：針對(duì)現(xiàn)有的礦山視頻監(jiān)控系統(tǒng)只能實(shí)現(xiàn)環(huán)境和設(shè)備運(yùn)行監(jiān)控,無法對(duì)人員等動(dòng)目標(biāo)行為實(shí)施有效監(jiān)控的問題,設(shè)計(jì)了一種礦山智能視頻分析與預(yù)警系統(tǒng),介紹了系統(tǒng)組成及架構(gòu),以膠帶堆煤檢測(cè)和人的行為檢測(cè)與識(shí)別為例,闡述了系統(tǒng)實(shí)現(xiàn)原理。在煤礦井下進(jìn)行了膠帶堆煤檢測(cè)、危險(xiǎn)區(qū)域人員檢測(cè)、系統(tǒng)識(shí)別率和響應(yīng)時(shí)間試驗(yàn),結(jié)果表明系統(tǒng)能夠有效檢測(cè)出膠帶上的煤量及危險(xiǎn)區(qū)域范圍,識(shí)別響應(yīng)時(shí)間不大于2s,識(shí)別成功率不低于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.
【作者單位】： 煤炭科學(xué)技術(shù)研究院有限公司;煤礦應(yīng)急避險(xiǎn)技術(shù)裝備工程研究中心;北京市煤礦安全工程技術(shù)研究中心;
【基金】：煤炭科學(xué)技術(shù)研究院科技發(fā)展基金資助項(xiàng)目(2016JC12;2016CX04) 中煤科工集團(tuán)智慧礦山專項(xiàng)資助項(xiàng)目(2016-ZHKSZX-03)
【分類號(hào)】：TD76;TP391.41

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