煤矿安全评价方法综述及发展趋势  

Summary of safety assessment approaches to coal mine and its development trend

作　　者：赵鹏飞 Zhao Pengfei(School of Land and Resources Engineering,Kunming University of Science and Technology,Kunming Yunnan 650031,China)

机构地区：[1]昆明理工大学国土资源工程学院,云南昆明650031

出　　处：《化工矿物与加工》2021年第9期29-31,共3页Industrial Minerals & Processing

摘　　要：在未来几十年的能源供给体系中,煤炭将依旧保持一次能源的主体地位,因此煤矿安全生产工作任重道远。合理的安全评价方法可以为煤矿安全生产管理提供决策依据,目前应用较多的安全评价方法有模糊综合评价方法、结合TOPSIS法的评价方法、神经网络技术、层次聚类分析法、风险评估法等。随着仿真技术的发展,模拟矿井生产的复杂环境可以为煤矿安全评价提供更为精确的模型,仿真技术应用将是煤矿安全评价的发展趋势。Coal supply will maintain the dominant position as a primary energy in the coming decades of energy supply system,so the safe operation in coal mine takes a heavy burden and embark on a long road.A reasonable safety evaluation method was provided as decision-making basis for safety production management in coal mine.At present,the widely used safety evaluation approaches include fuzzy comprehensive evaluation method,evaluation method based on TOPSIS,neural network technology,hierarchical clustering analysis method,risk assessment method,etc.With the development of simulation technology,simulating the complicated environment of mining operation is likely to provide a more accurate model for safety assessment on coal mines.The application of simulation technology will be the development trend of coal mine safety evaluation.

关 键 词：煤矿安全评价 煤矿安全生产 仿真技术 人工神经网络 层次聚类 模糊理论 评价体系 

分 类 号：TD79[矿业工程—矿井通风与安全]