Citation: | YANG Zheng, YANG Xiaoyong, WANG Yu, et al. Research on the application of area safety assessment model in coal mine safety management[J]. Journal of Mine Automation,2023,49(12):94-101, 129. doi: 10.13272/j.issn.1671-251x.18174 |
The safety evaluation granularity of the current coal mine safety monitoring and management system is basically at the mine level or subsystem level. It cannot be finely managed for different areas of the mine. In order to solve the above problem, a unified area division method is proposed for safety risk assessment based on the features of operational scenarios in various areas of the mine. This method combines information such as risks, hidden dangers, disasters with area operating conditions, equipment maintenance management, and personnel positioning to unify and organize data from various safety systems. A comprehensive assessment of the safety indicator system is conducted from four dimensions: human, machine, environment, and management. The weights of each indicator in the area safety assessment are calculated through a combination of subjective and objective weighting methods. The subjective weighting is achieved through the analytic hierarchy process, while the objective weighting method is achieved through the entropy weighting method. The method constructs an area safety assessment model, which quantitatively evaluates and classifies the current safety situation of coal mines. The method uses normalized fusion weights to calculate the basic safety score, and considers high-risk combinations, historical trend changes, and inter regional coupling effects to modify the score. The comprehensive safety scores of all levels of coal mine areas are obtained. This model has been successfully applied to the intelligent comprehensive control platform of Shaanxi Xiaobaodang Mining Co., Ltd.. It provides effective reference for accurately evaluating underground safety risks in coal mines and improving the level of coal mine safety management.
[1] |
YOU Mengjie,LI Shuang,LI Dingwei,et al. Applications of artificial intelligence for coal mine gas risk assessment[J]. Safety Science,2021,143. DOI: 10.1016/j.ssci.2021.105420.
|
[2] |
郭隆鑫,李希建,刘柱,等. 基于融合权集对云的煤矿安全评价及应用[J]. 中国安全生产科学技术,2021,17(2):65-70.
GUO Longxin,LI Xijian,LIU Zhu,et al. Evaluation of coal mine safety based on fusion weight and set pair cloud and its application[J]. Journal of Safety Science and Technology,2021,17(2):65-70.
|
[3] |
马金山,赵志科,姬长生. 基于投影寻踪及灰靶决策的区域煤矿安全度分析[J]. 工业安全与环保,2014,40(8):25-27.
MA Jinshan,ZHAO Zhike,JI Changsheng. Analysis of regional coal mines safety degree based on projection pursuit and grey target model[J]. Industrial Safety and Environmental Protection,2014,40(8):25-27.
|
[4] |
阳建新,李发菊,段伟强. 基于PCA−TOPSIS耦合模型的煤矿安全生产管理评价[J]. 中国矿业,2023,32(2):24-30.
YANG Jianxin,LI Faju,DUAN Weiqiang. Evaluation of coal mine safety production management evaluation based on PCA-TOPSIS coupling model[J]. China Mining Magazine,2023,32(2):24-30.
|
[5] |
宿国瑞,贾宝山,王鹏,等. 基于多源异构数据的煤矿安全管理效果评估[J]. 中国安全科学学报,2021,31(6):64-69.
SU Guorui,JIA Baoshan,WANG Peng,et al. Evaluation of coal mine safety management effect based on multi-source heterogeneous data[J]. China Safety Science Journal,2021,31(6):64-69.
|
[6] |
张晓霞. “煤科云”矿井智能一体化管控平台[J]. 智能矿山,2022,3(7):132-135.
ZHANG Xiaoxia. The "Coal Science Cloud" intelligent integrated control platform for mines[J]. Journal of Intelligent Mine,2022,3(7):132-135.
|
[7] |
张晓霞,陈思宇,苏上海,等. 矿井智能一体化管控平台设计及应用[J]. 煤炭科学技术,2022,50(9):168-178.
ZHANG Xiaoxia,CHEN Siyu,SU Shanghai,et al. Design and application of mine intelligent integrated management and control platform[J]. Coal Science and Technology,2022,50(9):168-178.
|
[8] |
王磊,苌延辉,苏上海,等. 煤科云智能一体化管控平台在天地王坡煤矿的设计与应用[J]. 智能矿山,2023,4(12):8-16.
WANG Lei,CHANG Yanhui,SU Shanghai,et al. Design and application of MineCloud intelligent integrated management and control platform in Tiandi Wangpo Coal Mine[J]. Journal of Intelligent Mine,2023,4(12):8-16.
|
[9] |
胡群. 精细化管理在煤炭企业管理创新中的作用及应用策略[J]. 中国管理信息化,2023,26(2):147-149.
HU Qun. The role and application strategies of refined management in innovative management of coal enterprises[J]. China Management Informationization,2023,26(2):147-149.
|
[10] |
屈世甲. 综采工作面区域网格化分区方法及其应用[J]. 工矿自动化,2018,44(9):94-97.
QU Shijia. Grid partition method of fully-mechanized coal mining face area and its application[J]. Industry and Mine Automation,2018,44(9):94-97.
|
[11] |
王国法,任怀伟,赵国瑞,等. 智能化煤矿数据模型及复杂巨系统耦合技术体系[J]. 煤炭学报,2022,47(1):61-74.
WANG Guofa,REN Huaiwei,ZHAO Guorui,et al. Digital model and giant system coupling technology system of smart coal mine[J]. Journal of China Coal Society,2022,47(1):61-74.
|
[12] |
荣雪,黄友锐,储怡然,等. 基于OPC UA的煤矿安全生产监控系统信息模型[J]. 工矿自动化,2022,48(3):112-117.
RONG Xue,HUANG Yourui,CHU Yiran,et al. Information model of coal mine safety production monitoring system based on OPC UA[J]. Journal of Mine Automation,2022,48(3):112-117.
|
[13] |
洪伟斌,盛武. 基于DEMATEL−ISM−BN的煤矿透水事故影响因素分析[J]. 工矿自动化,2022,48(12):116-122.
HONG Weibin,SHENG Wu. Analysis of influencing factors of coal mine water inrush accidents based on DEMATEL-ISM-BN[J]. Journal of Mine Automation,2022,48(12):116-122.
|
[14] |
王霖,方乾,张晓霞,等. 智能化煤矿数据仓库建模方法[J]. 工矿自动化,2022,48(4):5-13.
WANG Lin,FANG Qian,ZHANG Xiaoxia,et al. Intelligent coal mine data warehouse modeling method[J]. Journal of Mine Automation,2022,48(4):5-13.
|
[15] |
徐全耀. 准东露天煤矿智能化建设探讨[J]. 工矿自动化,2022,48(增刊1):24-26,44.
XU Quanyao. Probe on intelligent construction of Zhundong Open-pit Coal Mine[J]. Journal of Mine Automation,2022,48(S1):24-26,44.
|
[16] |
张兵. 煤矿智能化综合管控平台研究[J]. 工矿自动化,2022,48(增刊2):65-69.
ZHANG Bing. Research on intelligent comprehensive management and control platform of coal mine[J]. Journal of Mine Automation,2022,48(S2):65-69.
|
[17] |
杨洋,张文博,左晨曦,等. 基于“人−机−环−管”理论的数字化煤矿安全管理研究演化分析[J]. 煤矿安全,2021,52(2):239-243,247.
YANG Yang,ZHANG Wenbo,ZUO Chenxi,et al. Evolution analysis of digital mine safety management based on "man-machine-environment-management" theory[J]. Safety in Coal Mines,2021,52(2):239-243,247.
|
[18] |
国家安全生产监督管理总局. 煤矿安全规程[M]. 北京:煤炭工业出版社,2016.
State Administration of Work Safety. Coal mine safety regulations[M]. Beijing:China Coal Industry Publishing House,2016.
|
[19] |
国家煤矿安全监察局. 国家煤矿安全监察局关于印发《煤矿安全生产标准化管理体系考核定级办法(试行)》和《煤矿安全生产标准化管理体系基本要求及评分方法(试行)》的通知[EB/OL]. (2020-05-11)[2023-09-18]. https://www.gov.cn/zhengce/zhengceku/2020-05/28/content_5515531.htm.
State Administration of Coal Mine Safety. Notice of the State Administration of Coal Mine Safety on issuing the Measures for assessment and grading of coal mine safety production standardization management system (trial) and Basic requirements and scoring methods of coal mine safety production standardization management system (trial)[EB/OL]. (2020-05-11)[2023-09-18]. https://www.gov.cn/zhengce/zhengceku/2020-05/28/content_5515531.htm.
|
[20] |
方乾,张晓霞,王霖,等. 智能化煤矿大数据治理关键技术研究、实践与应用[J]. 工矿自动化,2023,49(5):37-45,73.
FANG Qian,ZHANG Xiaoxia,WANG Lin,et al. Research,practice and application of key technologies of intelligent coal mine big data governance[J]. Journal of Mine Automation,2023,49(5):37-45,73.
|
[21] |
石高越. 区域煤矿安全态势分析及预警技术研究[D]. 青岛:山东科技大学,2019.
SHI Gaoyue. Research on regional coal mine safety situation analysis and early warning technology[D]. Qingdao:Shandong University of Science and Technology,2019.
|