大数据时代矿山协同监管监察新思路

doi:10.16265/j.cnki.issn1003-3033.2023.08.2035

中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (8): 39-44.doi: 10.16265/j.cnki.issn1003-3033.2023.08.2035

• 安全社会科学与安全管理 • 上一篇下一篇

大数据时代矿山协同监管监察新思路

付恩三¹^,²(), 刘光伟¹, 白润才¹, 张靖¹

¹ 辽宁工程技术大学矿业学院,辽宁阜新123000
² 应急管理部信息研究院,北京100029

收稿日期:2023-02-20 修回日期:2023-05-22 出版日期:2023-10-08
作者简介:
付恩三 (1988—),男,辽宁岫岩人,博士研究生,工程师,主要从事矿山灾害分析、矿山智能化规划、灾害风险监测预警以及应急管理等工作。E-mail:429001709@qq.com。
刘光伟教授
白润才教授
基金资助:
国家自然科学基金资助(5197414); 辽宁工程技术大学学科创新团队资助项目(LNTU20TD-07)

Exploration and research of mine multi-element cooperative supervision new thinking in era of big data

FU Ensan¹^,²(), LIU Guangwei¹, BAI Runcai¹, ZHANG Jing¹

¹ School of Mining,Liaoning Technical University,Fuxin Liaoning 123000,China
² Information Institute,Ministry of Emergency Management of the PRC,Beijing 100029,China

Received:2023-02-20 Revised:2023-05-22 Published:2023-10-08

摘要/Abstract

摘要：

为解决当前我国矿山监管监察现场查验工作量大、数据分析薄弱等问题,基于大数据、人工智能、5G等新技术在矿山行业的部署实施应用,提出矿山监管监察手段智能化转型和创新协同发展新思路;首先分析大数据时代矿山多元协同监管的超时空性、数据采集强连续性、数据分析强关联性等特征,建立协同监管总体架构;然后基于新型协同监管监察发展形态、处置流程以及服务职能,建立新型监管监察协同服务数据平台;最后挖掘大数据深层次关联关系,优化精准执法、应急救援指导、远程专家诊断、实时风险分析、灾害风险预警等服务机制,提出大数据时代矿山多元协同监管监察逻辑路径、协同监管监察行为路径、纵横联动处置流程。结果表明:矿山风险“智”理转变、数据治理与决策、风险全流程处置等矿山协同监管监察的创新路径,将成为今后政府部门、科研院所、高校以及煤矿企业形成多元协同监管监察的新业态。

关键词: 大数据, 协同监管监察, 模式转变, 总体架构, 数据安全

Abstract:

In order to solve problems of heavy workload and weak data analysis in our country, based on new technologies such as big data, artificial intelligence, 5G, etc., a new idea of intelligent transformation and coordinated development of mine supervision and supervision means was put forward. Firstly, characteristics of mine multi-element cooperative supervision in big data era were analyzed, such as time-space, strong continuity of data collection, strong relevance of data analysis, and overall framework of cooperative supervision was established. Then, based on development form, processing flow and service function of new-type collaborative supervision and supervision, a new data platform of collaborative supervision and supervision service was established. Finally, deep correlation relationship of big data was mined, and service mechanisms were optimized such as accurate law enforcement, guidance on emergency rescue, remote expert diagnosis, real-time risk analysis, and disaster risk early warning. Logical path, behavior path and vertical and horizontal linkage processing flow of mine multi-element cooperative supervision and supervision in big data era were put forward. The results show that: mine risk "Intelligence" rational transformation, data governance and decision-making, risk management and the whole process of management and supervision of innovation path, it will become a new form of supervision and supervision for government departments, scientific research institutes, universities and coal mining enterprises.

Key words: big data, cooperative supervision, paradigm shift, overall structure, data security

付恩三, 刘光伟, 白润才, 张靖. 大数据时代矿山协同监管监察新思路[J]. 中国安全科学学报, 2023, 33(8): 39-44.

FU Ensan, LIU Guangwei, BAI Runcai, ZHANG Jing. Exploration and research of mine multi-element cooperative supervision new thinking in era of big data[J]. China Safety Science Journal, 2023, 33(8): 39-44.

图/表 2

参考文献 14

[1]	吕乐琳, 王卓甫. 数字建造情境下重大工程交易行为监管的协同演化仿真[J]. 系统管理学报, 2022, 31(3):440-452.
	LYU Lelin, WANG Zhuofu. Co-Evolution simulation analysis of transaction behavior supervision for major construction projects under digital construction situation[J]. Journal of System & Management, 2022, 31(3):440-452.
[2]	安森东. 市场监管现代化:问题与破题[J]. 行政管理改革, 2022(5):41-47.
	AN Sendong. Modernization of market supervision: problems and resolutions[J]. Administration Reform, 2022(5):41-47.
[3]	付恩三, 刘光伟, 赵浩, 等. 智慧露天矿山总体框架及关键技术研究[J]. 工况自动化, 2021, 47(8):27-32.
	FU Ensan, LIU Guangwei, ZHAO Hao, et al. Research on the overall framework and key technologies of smart open-pit mines[J]. Industry and Mine Automation, 2021, 47(8):27-32.
[4]	王增强, 丁静, 白松浩, 等. 面向低空空域协同管理的应急决策方法[J]. 中国安全科学学报, 2019, 29(7):177-182. doi: 10.16265/j.cnki.issn1003-3033.2019.07.028
	WANG Zengqiang, DING Jing, BAI Songhao, et al. Emergency decision-making method for collaborative management of low-altitude airspace[J]. China Safety Science Journal, 2019, 29(7):177-182. doi: 10.16265/j.cnki.issn1003-3033.2019.07.028
[5]	金浩, 潘长城, 陈健, 等. 中美国防工业安全生产监管体系比较[J]. 中国安全科学学报, 2020, 30(10):12-19. doi: 10.16265/j.cnki.issn 1003-3033.2020.10.002
	JIN Hao, PAN Changcheng, CHEN Jian, et al. Comparative study on work safety supervision system of defense industry between China and USA[J]. China Safety Science Journal, 2020, 30(10):12-19. doi: 10.16265/j.cnki.issn 1003-3033.2020.10.002
[6]	杨善林, 周开乐. 大数据中的管理问题:基于大数据的资源观[J]. 管理科学学报, 2015, 18(5):1-8.
	YANG Shanlin, ZHOU Kaile. Management issues in big data:the resource-based view of big data[J]. Journal of Management and Sciences in China, 2015, 18(5):1-8.
[7]	杨善林, 周开乐, 张强, 等. 互联网的资源观[J]. 管理科学学报, 2016, 19(1):1- 11.
	YANG Shanlin, ZHOU Kaile, ZHANG Qiang, et al. A resource view of the Internet[J]. Journal of Management and Sciences in China, 2016, 19(1):1-11.
[8]	杨善林, 丁帅, 顾东晓, 等. 医联网:新时代医疗健康模式变革与创新发展[J]. 管理科学学报, 2021, 24(10):1-11.
	YANG Shanlin, DING Shuai, GU Dongxiao, et al. Internet of healthcare systems (IHS): revolution and innovations of healthcare management in the new era[J]. Journal of Management and Sciences in China, 2021, 24(10):1-11.
[9]	郜博锋. 铁路安全监管工作分析和对策研究[J]. 中国安全科学学报, 2020, 30(增1):48-53.
	GAO Bofeng. Study on analysis and countermeasures of railway safety supervision[J]. China Safety Science Journal, 2020, 30(S1):48-53. doi: 10.16265/j.cnki.issn1003-3033.2020.S1.010
[10]	欧阳桃花, 郑舒文, 程杨. 构建重大突发公共卫生事件治理体系:基于中国情景的案例研究[J]. 管理世界, 2020, 36(8): 19- 32.
	OUYANG Taohua, ZHENG Shuwen, CHENG Yang. The management of large-scale public health emergency:a case study of coronavirus epidemic in China[J]. Management World, 2020, 32(8):19-32.
[11]	卜素, 李青. 论安全生产责任制监管模式的困境与重塑[J]. 中国安全科学学报, 2021, 31(11):18-25. doi: 10.16265/j.cnki.issn 1003-3033.2021.11.003
	BU Su, LI Qing. Research on difficulty and improvement of supervision mode of work safety responsibility system[J]. China Safety Science Journal, 2021, 31(11):18-25. doi: 10.16265/j.cnki.issn 1003-3033.2021.11.003
[12]	郝素利. 特种设备安全多中心协同治理模式研究[J]. 中国安全科学学报, 2019, 29(9):155-160. doi: 10.16265/j.cnki.issn1003-3033.2019.09.025
	HAO Suli. Research on polycentric synergetic governance model for special equipment safety[J]. China Safety Science Journal, 2019, 29(9):155-160. doi: 10.16265/j.cnki.issn1003-3033.2019.09.025
[13]	郑万波, 董锦晓, 史耀轩, 等. 基于政府与矿企协同监管演化博弈研究[J]. 技术与创新管理, 2023, 44(2):180-188.
	ZHENG Wanbo, DONG Jinxiao, SHI Yaoxuan, et al. Research on evolutionary game of cooperative supervision between government and mining enterprises[J]. Technology and Innovation Management, 2023, 44(2):180-188.
[14]	付恩三, 白润才, 刘光伟, 等. “十三五”期间我国煤矿事故特征及演变趋势分析[J]. 中国安全科学学报, 2022, 32(12):88-94. doi: 10.16265/j.cnki.issn1003-3033.2022.12.0076
	FU Ensan, BAI Runcai, LIU Guangwei, et al. Analysis on characteristics and evolution trend of coal mine accidents in our country during "13th five-year" plan period[J]. China Safety Science Journal, 2022, 32(12):88-94. doi: 10.16265/j.cnki.issn1003-3033.2022.12.0076

大数据时代矿山协同监管监察新思路

Exploration and research of mine multi-element cooperative supervision new thinking in era of big data

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 2

参考文献 14

相关文章 11

编辑推荐

Metrics

本文评价

[1]	张文山, 张全柱. 应急指挥与安全在线监测系统应用研究[J]. 中国安全科学学报, 2022, 32(S2): 231-235.
[2]	常丁懿, 石娟, 瞿丽莉, 郑鹏. 智慧风电场应急管理体系及应用研究: 5G技术赋能[J]. 中国安全科学学报, 2022, 32(9): 57-67.
[3]	卢颖, 赵志攀, 姜学鹏, 吴锦东, 范小鹏. 大数据视域下体育场馆动态火灾风险指标研究[J]. 中国安全科学学报, 2022, 32(4): 155-162.
[4]	张巨峰, 施式亮, 鲁义, 游波, 吴芳华, 吴宽. 大数据下瓦斯与煤自燃共生灾害智能预警系统:数据特征、应用架构、关键技术^*[J]. 中国安全科学学报, 2021, 31(9): 60-66.
[5]	石娟, 郑鹏, 常丁懿. 大数据环境下的城市公共安全治理:区块链技术赋能[J]. 中国安全科学学报, 2021, 31(2): 24-32.
[6]	贾博, 孙延进, 张贵明. 基于DBN的飞机着陆弹跳预测方法[J]. 中国安全科学学报, 2020, 30(6): 84-91.
[7]	汪磊副, 蒋引, 谭维. 航线飞行员风险画像指标体系构建[J]. 中国安全科学学报, 2020, 30(11): 13-21.
[8]	闪顺章, 吴超, 王从陆, 王秉. 大数据视域下循证安全管理模式研究[J]. 中国安全科学学报, 2018, 28(6): 7-12.
[9]	袁宏永, 苏国锋, 付明. 城市安全空间构建理论与技术研究[J]. 中国安全科学学报, 2018, 28(1): 185-190.
[10]	曹策俊, 李从东, 王玉, 屈挺, 张伟. 大数据时代城市公共安全风险演化与治理机制[J]. 中国安全科学学报, 2017, 27(7): 151-156.
[11]	赵玮, 徐良杰, 冉斌, 汪济洲, 张璇. 基于Adaptive Lasso及RF算法的冰雪天气交通事故分析[J]. 中国安全科学学报, 2017, 27(2): 98-103.