尾矿库自动化安全监测系统设计与实现
发布时间：2019-01-23 20:30
【摘要】：金属与非金属矿山是工业生产的高危行业，其事故发生起数和死亡人数在全国工业安全生产领域占较大的比重。尾矿库是金属与非金属矿山安全生产的重要环节，，也是该领域的重大危险源之一，作为具有高势能的人造泥石流危险源，其一旦发生事故，将会给下游人民生命财产安全造成巨大损失，给当地环境造成严重污染，给当地的经济发展和社会稳定也带来严重的负面影响。论文根据弓长岭尾矿库的具体情况及国家安全生产监督管理局尾矿库安全监测技术规范[行业标准AQ2030--2010]的要求针对影响尾矿坝安全的因素，确定了弓长岭尾矿库安全监测系统的监测指标，根据监测内容完成了设备选型，同时结合现代计算机技术、网络技术、影像视频技术和GPS卫星定位技术提出了该尾矿库安全监测的技术方案，设计了一个集可视化、自动化、智能化于一体的软件结构。在坝体安全评价模块中采用里正软件计算了尾矿坝稳定安全系数。为弓长岭尾矿库设计一套尾矿坝自动化安全监测及预警系统。
[Abstract]:Metal and non-metal mines are high risk industries in industrial production. The number of accidents and the number of deaths account for a large proportion in the field of industrial safety production in China. Tailings reservoir is an important link in the safe production of metal and non-metal mines, and also one of the major hazard sources in this field. As a man-made debris flow hazard source with high potential energy, once an accident occurs, It will cause huge loss of life and property safety to downstream people, serious pollution to local environment, and also bring serious negative impact to local economic development and social stability. According to the concrete situation of Gongchangling tailing reservoir and the requirement of safety monitoring technical specification [industry standard AQ2030--2010] of the tailings dam of the State Administration of Safety production Supervision, the paper aims at the factors that affect the safety of tailings dam. The monitoring index of the safety monitoring system of Gongchangling tailing reservoir is determined. According to the monitoring content, the equipment selection is completed. At the same time, combined with modern computer technology and network technology, The video image technology and GPS satellite positioning technology put forward the technical scheme of safety monitoring of the tailings reservoir, and designed a software structure which integrates visualization, automation and intelligence. The stability safety factor of tailings dam is calculated by using the software of Li Zheng in the dam body safety evaluation module. A set of automatic safety monitoring and early warning system for tailings dam is designed for Gongchangling tailing reservoir.
【学位授予单位】：辽宁科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TD76;TD926.4
本文编号：2414163
[Abstract]:Metal and non-metal mines are high risk industries in industrial production. The number of accidents and the number of deaths account for a large proportion in the field of industrial safety production in China. Tailings reservoir is an important link in the safe production of metal and non-metal mines, and also one of the major hazard sources in this field. As a man-made debris flow hazard source with high potential energy, once an accident occurs, It will cause huge loss of life and property safety to downstream people, serious pollution to local environment, and also bring serious negative impact to local economic development and social stability. According to the concrete situation of Gongchangling tailing reservoir and the requirement of safety monitoring technical specification [industry standard AQ2030--2010] of the tailings dam of the State Administration of Safety production Supervision, the paper aims at the factors that affect the safety of tailings dam. The monitoring index of the safety monitoring system of Gongchangling tailing reservoir is determined. According to the monitoring content, the equipment selection is completed. At the same time, combined with modern computer technology and network technology, The video image technology and GPS satellite positioning technology put forward the technical scheme of safety monitoring of the tailings reservoir, and designed a software structure which integrates visualization, automation and intelligence. The stability safety factor of tailings dam is calculated by using the software of Li Zheng in the dam body safety evaluation module. A set of automatic safety monitoring and early warning system for tailings dam is designed for Gongchangling tailing reservoir.
【学位授予单位】：辽宁科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TD76;TD926.4
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