|本期目录/Table of Contents|

[1]姜洲,陈学力,方伟立,等.基于尾矿库安全物联网决策支持系统研究[J].中国安全生产科学技术,2016,12(5):120-126.[doi:10.11731/j.issn.1673-193x.2016.05.021]
 JIANG Zhou,CHEN Xueli,FANG Weili,et al.Research on decision-making support system of tailing pond safety based on Internet of Things[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(5):120-126.[doi:10.11731/j.issn.1673-193x.2016.05.021]
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基于尾矿库安全物联网决策支持系统研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
12
期数:
2016年5期
页码:
120-126
栏目:
现代职业安全卫生管理与技术
出版日期:
2016-05-30

文章信息/Info

Title:
Research on decision-making support system of tailing pond safety based on Internet of Things
作者:
姜洲12陈学力3方伟立1吴贤国1肖旭峰3刘方求3
(1.华中科技大学 土木工程与力学学院, 湖北 武汉 430074; 2. 湖南省安全生产监督管理局,湖南 长沙 410016; 3.湖南黄金洞矿业有限责任公司,湖南 长沙 410016)
Author(s):
JIANG Zhou12 CHEN Xueli3 FANG Weili1 WU Xiangu1 XIAO Xufeng3 LIU Fangqiu3
(1. School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan Hubei 430074, China; 2. Administration of Hunan Work Safety, Changsha Hunan 410016, China; 3. Huang Jin Dong Mining Industry Limited Company of Hunan, Changsha Hunan 410016, China)
关键词:
尾矿库物联网安全监控数据采集
Keywords:
tailing pond Internet of Things safety monitoring data collection
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2016.05.021
文献标志码:
A
摘要:
尾矿库安全管理是一项非常复杂的系统工程,针对湖南黄金集团高流坑尾矿库安全管理工作人工依赖性强、智能化程度低,灾情实时判断与预警控制决策效率低等不足特点,提出物联网技术,结合先进的数据感知技术,将数据采集、处理、分析及决策等环节进行一体化综合集成,研究设计尾矿库安全物联网决策支持系统。使尾矿库建设运营参与各方加强认知和揭示尾矿库安全灾变规律,为实现尾矿库安全管理智能预警决策提供有力的辅助支持。
Abstract:
The safety management of tailing pond is a complicated system engineering. Aiming at the deficiencies, such as strong artificial dependence, low intelligence degree, low efficiency in disaster real-time judgement and early warning control decision etc., for safety management in Gaoliukeng tailing pond of Hunan Gold Group, a decision-making support system of tailing pond of tailing pond safety based on Internet of Things was studied and designed by combining Internet of Things technology with advanced data aware technology, and it achieved the comprehensive integration of multiple links including data collection, processing, analysis, decision-making and so on. It makes the participating parties in construction and operation of tailing pond enhance cognition and reveal the disaster regularity of tailing pond safety, and provides strong auxiliary support for realizing intelligent early warning and decision-making in safety management of tailing pond.

参考文献/References:

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 MEI Guo dong.Research on the dambreak hazard vulnerability assessment index system and methods of tailings pond[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(5):11.

备注/Memo

备注/Memo:
国家自然科学基金项目(51378235,71571078);湖北省自然科学基金重点项目(zrz2014000104)
更新日期/Last Update: 2016-06-17