College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China.
National Engineering Research Center of Coal Mine Water Hazard Controlling, Beijing, China.
Sci Rep. 2021 Jan 29;11(1):2621. doi: 10.1038/s41598-021-82121-7.
Water inrush is one of the major mining disasters that may lead to numerous casualties. The development of information techniques makes it possible to monitor the occurrence and evolution of water inrush. Then, locating monitors for water inrush becomes a primary problem. This study presents a method of optimal location of water level sensors by constructing a set covering model. The monitoring scope of the water level sensor at each location in a given time is computed first based on the numerical simulation of water spreading along mine tunnels. In this simulation, the water inrush quantity is assigned using the mine drainage capability over which an accident may occur. Then the greedy algorithm is used to optimize the number and positions of water level sensors. As results, a mine water disaster can be monitored in the given time after it happened. The proposed method is then verified in the Beiyangzhuang coal mine in the North China. The results show that at least 22, 36, 42, 64 and 106 water level sensors are needed to monitor water disasters in the whole mine within 60, 30, 20, 10 and 5 min, respectively.
突水是一种可能导致大量人员伤亡的重大矿山灾害。信息技术的发展使得监测突水的发生和演化成为可能。那么，定位突水监测器就成为一个首要问题。本研究提出了一种通过构建集覆盖模型来优化水位传感器位置的方法。首先，根据沿矿隧道水扩散的数值模拟，计算给定时间内每个位置水位传感器的监测范围。在这个模拟中，突水水量是根据可能发生事故的矿山排水能力来分配的。然后，贪婪算法被用来优化水位传感器的数量和位置。这样，在事故发生后的给定时间内，可以监测到矿山水灾。然后，该方法在华北北洋庄煤矿进行了验证。结果表明，分别需要至少 22、36、42、64 和 106 个水位传感器，才能在 60、30、20、10 和 5 分钟内监测到整个矿山的水灾害。
