Water detection video management system of coal mine
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摘要: 针对现有人工检测煤矿探水钻孔深度、角度和方向的方式易存在漏检、误检等现象，且效率低、误差大、实时性较差等问题，设计了一套煤矿探水视频管理系统。该系统采用智能视频识别技术识别换杆动作和次数、传感器识别技术识别钻进次数和钻孔角度的方式，分别计算出钻孔深度，并对2种计算结果进行对比校验，保证了检测精确度。实际应用表明，该系统运行稳定，实现了对煤矿探水作业全过程监管。Abstract: For problems of missed detection, false detection, low efficiency, large error, poor real-time performance and so on existed in manual detection method of borehole depth, angle and direction of coal mine water detection, a water detection video management system of coal mine was designed. The system uses intelligent video identification technology to identify pipe-rod changing action and number and sensor identification technology to identify drilling number and borehole angle, so as to calculate borehole depth separately. The two calculation results are checked to guarantee detection precision. The actual application shows that the system runs stably and realizes the whole process supervision of coal mine water detection.
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期刊类型引用(2)
1. 胡金成，张立斌，蒋泽，姚超修，蒋志龙，王正义. 基于AI视频分析的煤矿瓦斯抽采钻场远程监督管理方法. 工矿自动化. 2023(11): 167-172 . 
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2. 徐岩柏. 大数据分析的海量教学视频资源管理系统. 山西大同大学学报(自然科学版). 2022(01): 30-34+44 . 百度学术
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