基于云计算的煤矿安全监测预警系统研究

Research of coal mine safety monitoring and early warning system based on cloud computing

针对传统煤矿安全监测系统存在无法提前预测井下事故等问题,提出一种基于云计算的煤矿安全监测预警系统,介绍了云计算、SaaS、数据挖掘等相关技术,并详细阐述了系统总体架构及云数据中心的设计。该系统可以有效地预报井下瓦斯事故、机电事故、火灾事故、水害事故等,降低发生安全事故的风险。

For problem that traditional coal mine safety monitoring system cannot predict underground accidents in advance, the paper proposed a coal mine safety monitoring and early warning system based on cloud computing. It introduced related technologies including cloud computing, SaaS and data mining, and described design of overall architecture and cloud data center of the system in details. The system can effectively forecast underground gas accident, mechanical and electrical accident, fire accident, water damage accident, so as to reduce risk of security incidents.