摘要
本文基于智能传感器、人工智能算法和大数据分析,建立了一套全面的安全保障与风险控制系统。针对智能化采矿的安全保障与风险控制,运用智能算法实现风险识别与预警。在事故发生后,系统能够记录并分析事故前的传感器数据,为深入事故分析提供依据,进而制定有效的改进措施。研究结果显示,采矿效率提高、事故发生率降低和人员伤亡率减少,为智能化采矿的安全推进提供了实质性的支持。
Based on intelligent sensors,artificial intelligence algorithms and big data analysis,a set of comprehensive security and risk control system is established.Aiming at the safety guarantee and risk control of intelligent mining,the intelligent algorithm is used to realize the risk identification and early warning.After the accident,the system can record and analyze the sensor data before the accident,to provide the basis for further accident analysis,and then formulate effective improvement measures.The research results show that the mining efficiency is improved,the accident rate is reduced and the casualty rate is reduced,which is provides substantial support for the safe promotion of intelligent mining.
作者
董立华
DONG Lihua(Yili New Mining Coal Industry Co.,Ltd.,Yili 835000,China)
关键词
智能化
采矿
安全保障
风险控制
intelligence
mining
safety guarantee
risk control