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。
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.
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2016年第5期120-126,共7页
Journal of Safety Science and Technology
基金
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)
关键词
尾矿库
物联网
安全监控
数据采集
tailing pond
Internet of Things
safety monitoring
data collection