摘要
有线传输与监控的方式在煤矿安全监测中广泛使用,但是这种技术存在大量的测试盲区,无法依靠智能专家系统对煤矿危险预警,出现误判与漏判的现象;文中提出使用改进型Aprior关联数据算法对煤矿环境进行系统预警,将煤矿生产海量的历史数据使用关联分析得到煤矿安全预警的数据关联模型,结合TT-CAN技术与无线传感网络技术去除井下的测量盲点,保证数据的采集实时性;分别对煤矿生产中的部分安全数据进行模型测试,预警准确率高达85%,具有很强的实用性。
Cable transmission and monitoring in the way of coal mine safety monitoring is widely used, but the technology of the presence of large amounts of test blind area, can＇t rely on intelligent expert system for coal mine risk early warning, appear miscarriage of justice and leakage found phenomenon. This paper puts forward to use advanced Aprior associated data algorithm to the coal mine environment early warning system, the coal mine production history of mass data using correlation analysis for coal mine safety warning data correlation model, combine the TT CAN technology and wireless sensor network technology to remove downhole measurement blind spots, ensure the real time data collection. To the coal mine production are part of safety data model test, warning accuracy reaches as high as 85%, have very strong practicability
出处
《计算机测量与控制》
北大核心
2013年第10期2826-2828,2847,共4页
Computer Measurement &Control
