尾矿
警报
尾矿坝
云计算
物联网
安全监测
矿山安全
工程类
采矿工程
变形监测
废物管理
变形(气象学)
地质学
计算机科学
材料科学
冶金
操作系统
煤
海洋学
生物技术
煤矿开采
生物
嵌入式系统
航空航天工程
作者
Enji Sun,Xingkai Zhang,Zhongxue Li
出处
期刊:Safety Science
[Elsevier]
日期:2011-09-14
卷期号:50 (4): 811-815
被引量:177
标识
DOI:10.1016/j.ssci.2011.08.028
摘要
Tailings disposal is a significant consideration for the mining industry, with the majority of the ore processed in most mining operations ending up as tailings. Several tailings dam failure accidents have occurred during the past few years and mine tailings dam failures, which are disastrous with the serious damage and the loss of lives, are occurring at relatively high rates. To improve the tailings dam safety, a tailings dam monitoring and pre-alarm system (TDMPAS) based on the internet of things (IOT) and cloud computing (CC) is accomplished with the abilities of real-time monitoring of the saturated line, impounded water level and the dam deformation. TDMPAS has helped the mine engineers monitor the dam safety 24/7 and acquire pre-alarm information automatically and remotely in any kind of weather conditions. TDMPAS has been applied in several mines and has demonstrated the feasibility of monitoring the tailings dam physical condition.
科研通智能强力驱动
Strongly Powered by AbleSci AI