为了解决甘肃省河西区高速公路建设过程中环境监测困难的问题,通过融入大数据技术设计高速公路环境监测系统。采用最大功率点跟踪监测技术中的小控制单元和功率换算的方式设计定点跟踪结构;利用码分多址传输模式将监测设备与大数据库相...为了解决甘肃省河西区高速公路建设过程中环境监测困难的问题,通过融入大数据技术设计高速公路环境监测系统。采用最大功率点跟踪监测技术中的小控制单元和功率换算的方式设计定点跟踪结构;利用码分多址传输模式将监测设备与大数据库相互联系,缩短数据传输时间;对传统谱聚类算法进行改进;应用VMWare Player 16软件模拟监测过程,提高了监测能力。试验结果表明,设计所采用的公路监测系统的监测范围最大为86.7 m2,预警时间为30.16 s,系统结果准确率为97.1%。展开更多
The prediction study on coal and gas outbursts is carried out by monitoring some indices which are sensitive to the initiation of coal and gas outbursts. The values and changing roles of the indices are the foundation...The prediction study on coal and gas outbursts is carried out by monitoring some indices which are sensitive to the initiation of coal and gas outbursts. The values and changing roles of the indices are the foundations of coal and gas outbursts prediction. But now, only the data of ere key monitoring station is used in the coal and gas outbursts prediction practice, and the other data are ignored. In order to overcome the human factor and make full use of the monitoring information, the technique of multi-sensor target tracking is proposed to deal with the microseismic informatiion. With the results of microseismic events, the activities of geological structure, fracure-depth of roof and floor, and the location of gas channel are obtained. These studies indicate that it is considerably possible to predict the coal and gas outbursts using microseismic monitoring with its inherent ability to remotely monitor the progressive failure caused by mining.展开更多
文摘为了解决甘肃省河西区高速公路建设过程中环境监测困难的问题,通过融入大数据技术设计高速公路环境监测系统。采用最大功率点跟踪监测技术中的小控制单元和功率换算的方式设计定点跟踪结构;利用码分多址传输模式将监测设备与大数据库相互联系,缩短数据传输时间;对传统谱聚类算法进行改进;应用VMWare Player 16软件模拟监测过程,提高了监测能力。试验结果表明,设计所采用的公路监测系统的监测范围最大为86.7 m2,预警时间为30.16 s,系统结果准确率为97.1%。
基金supported by National Basic Research Programof China(973Program,2010CB226805)Shandong Province Natural Science Fund(Z2008F01)Key Laboratory of Mine Disaster Prevention and Control of Education Ministry(MDPC0809,MDPC0811)
文摘The prediction study on coal and gas outbursts is carried out by monitoring some indices which are sensitive to the initiation of coal and gas outbursts. The values and changing roles of the indices are the foundations of coal and gas outbursts prediction. But now, only the data of ere key monitoring station is used in the coal and gas outbursts prediction practice, and the other data are ignored. In order to overcome the human factor and make full use of the monitoring information, the technique of multi-sensor target tracking is proposed to deal with the microseismic informatiion. With the results of microseismic events, the activities of geological structure, fracure-depth of roof and floor, and the location of gas channel are obtained. These studies indicate that it is considerably possible to predict the coal and gas outbursts using microseismic monitoring with its inherent ability to remotely monitor the progressive failure caused by mining.
