基于人工智能的企业安全智能监控系统研究——以煤炭企业为例

On Enterprise Security Intelligent Monitoring System Based on Artificial Intelligence--Taking Coal Companies as An Example

煤矿安全生产过程中存在的风险监测时效性差、监测结果准确性低、监测监管力度不够等问题。基于人工智能的企业安全智能监控系统,实现对企业生产过程中危害因素及违法行为的智能化感知、智能化对比分析,及智能化处理与预警。在企业安全生产大数据管理模式创新及提高企业安全监管水平的同时,及时化、动态化地了解企业井上、井下的安全生产情况,全面提升了安全监管监测信息化效能。

In the process of coal mine safety production,there are usually some problems,like poor timeliness of risk monitoring,low accuracy in monitoring results,and insuffi cient monitoring and supervision.The enterprise security intelligent monitoring system based on artifi cial intelligence can realize intelligent perception,intelligent comparative analysis,and intelligent processing and early warning of the hazard factors and illegal behaviors in the production process.While innovating the big data management model of enterprise safety production and improving the level of enterprise safety supervision,it can keep up with,in a timely and dynamic manner,the safety production situation of the enterprise above and below the mine,and comprehensively improves the information effi ciency of safety supervision and monitoring.