Volume 48 Issue 10
Oct.  2022
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ZHANG Shulin, YANG Jian, SHU Longyong. Research on dynamic workflow construction method of coal mine gas control[J]. Journal of Mine Automation,2022,48(10):97-106.  doi: 10.13272/j.issn.1671-251x.17971
Citation: ZHANG Shulin, YANG Jian, SHU Longyong. Research on dynamic workflow construction method of coal mine gas control[J]. Journal of Mine Automation,2022,48(10):97-106.  doi: 10.13272/j.issn.1671-251x.17971

Research on dynamic workflow construction method of coal mine gas control

doi: 10.13272/j.issn.1671-251x.17971
  • Received Date: 2022-06-19
  • Rev Recd Date: 2022-10-17
  • Available Online: 2022-10-21
  • At present, the key links of coal mine gas control management still need manual supervision. The gas control measures can not achieve "reliable quality" and "process traceability". The backward gas control management mode results in overlapping functions, poor process and low degree of data sharing. In view of the above problems, based on workflow technology, from the perspective of global management, the dynamic workflow construction method of coal mine gas control is studied. Firstly, the workflow, constraint conditions and implementation process of gas control in the minging face and coal uncovering working face are analyzed. The links of gas control flow is divided into two types: test and measure. It is specifically divided into five types of work, including approval of technical documents and reports, drilling construction, sampling, gas parameter measurement, and gas extraction and parameter detection. Secondly, the method reconstructs the last four types of work and further divides the work into 25 basic work units. The method uses Petri Nets to combine basic work units to establish different cross-departmental gas control complex business workflow. Based on the gas control workflow chart, a representation method for the implementation progress of gas control in the working face is established. The method uses the strategy of combining initiative and automation to assign task of the workflow. The method uses description files to dynamically generate and configure workflow networks to meet the requirements of dynamic workflow modeling for gas control. Finally, based on the Flowable workflow engine, the dynamic workflow function of gas control is developed and applied. The results show that the construction of dynamic workflow can make the gas control business process. It is conducive to improving the efficiency of gas control collaborative execution, realizing the rapid flow, tracking and sharing of data. It is conducive to monitoring the overall operation and optimization of gas control work, improving the decision-making capability of coal mine gas control, and innovating the management mode of coal mine gas control.

     

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  • [1]
    丁恩杰,廖玉波,张雷,等. 煤矿信息化建设回顾与展望[J]. 工矿自动化,2020,46(7):5-11.

    DING Enjie,LIAO Yubo,ZHANG Lei,et al. Review and prospect of coal mine informatization construction[J]. Industry and Mine Automation,2020,46(7):5-11.
    [2]
    仲蕊. 煤矿智能化支撑煤炭工业高质量发展[N]. 中国能源报, 2022-02-21(15).

    ZHONG Rui. Intellectualization of coal mines supports high-quality development of the coal industry[N]. China Energy News, 2022-02-21(15).
    [3]
    王清峰,陈航. 瓦斯抽采智能化钻探技术及装备的发展与展望[J]. 工矿自动化,2018,44(11):18-24.

    WANG Qingfeng,CHEN Hang. Development and prospect on intelligent drilling technology and equipment for gas drainage[J]. Industry and Mine Automation,2018,44(11):18-24.
    [4]
    徐雪战. 矿井防突信息预测装备体系与应用效果[J]. 煤矿安全,2020,51(12):100-104.

    XU Xuezhan. Mine outburst prevention information prediction equipment system and its application effect[J]. Safety in Coal Mines,2020,51(12):100-104.
    [5]
    原雅茹. 煤矿安全监测监控系统可复用框架的设计与实现[D]. 太原: 太原科技大学, 2018.

    YUAN Yaru. Design and implementation of reusable framework for coal mine safety monitoring and control system[D]. Taiyuan: Taiyuan University of Science and Technology, 2018.
    [6]
    刘燕华. 煤矿一张图协同机制及关键技术研究[D]. 徐州: 中国矿业大学, 2016.

    LIU Yanhua. Cooperative mechanism and key technologies for coalmine one-map[D]. Xuzhou: China University of Mining and Technology, 2016.
    [7]
    骆云秀, 毛善君, 张鹏鹏, 等. 基于GIS的工作面探煤数据管理方法研究与应用[J/OL]. 煤炭科学技术: 1-9[2022-05-19]. DOI: 10.13199/j.cnki.cst.2021-0511.

    LUO Yunxiu, MAO Shanjun, ZHANG Pengpeng, et al. Research and application of coal exploration data management method in working face based on GIS[J/OL]. Coal Science and Technology: 1-9[2022-05-19]. DOI: 10.13199/j.cnki.cst.2021-0511.
    [8]
    李偲,韦善阳,孙威,等. 基于GIS的煤层瓦斯突出危险区域预测[J]. 矿业研究与开发,2021,41(7):44-49.

    LI Cai,WEI Shanyang,SUN Wei,et al. Prediction of coal and gas outburst hazard zone based on GIS[J]. Mining Research and Development,2021,41(7):44-49.
    [9]
    毛善君,崔建军,王世斌,等. 煤矿智能开采信息共享管理平台构建研究[J]. 煤炭学报,2020,45(6):1937-1948.

    MAO Shanjun,CUI Jianjun,WANG Shibin,et al. Construction of information sharing platform of mine safe productionfor intelligent mining[J]. Journal of China Coal Society,2020,45(6):1937-1948.
    [10]
    国家发展改革委, 国家能源局. 煤炭工业发展“十三五”规划[EB/OL]. [2021-12-30]. https://www.ndrc.gov.cn/fggz/fzzlgh/gjjzxgh/201706/t20170605_1196782_ext.html.

    National Development and Reform Commission, National Energy Administration. Coal industry development "the 13th Five-Year Plan"[EB/OL]. [2021-12-30]. https://www.ndrc.gov.cn/fggz/fzzlgh/gjjzxgh/201706/t20170605_1196782_ext.html.
    [11]
    孙东玲. 推动瓦斯防治全过程信息化智能化[N]. 中国煤炭报, 2020-05-09(3).

    SUN Dongling. The whole process of gas prevention and control has been promoted with informatization and intelligence[N]. China Coal News, 2020-05-09(3).
    [12]
    邱小平. 基于工作流的业务流程管理与优化[M]. 北京: 科学出版社, 2018.

    QIU Xiaoping. Business process management and optimization based on workflow[M]. Beijing: Science Press, 2018.
    [13]
    朱晨妍. 异构分布式环境下工作流时间与成本优化算法研究[D]. 岳阳: 湖南理工学院, 2021.

    ZHU Chenyan. Research on makespan and cost of scheduling workflow in heterogeneous distributed computing system[D]. Yueyang: Hunan Institute of Science and Technology, 2021.
    [14]
    郭恒庆. 煤矿安全管理信息系统开发与应用研究[D]. 成都: 电子科技大学, 2013.

    GUO Hengqing. Research on the development and application of coal mine safety management information system[D]. Chengdu: University of Electronic Science and Technology of China, 2013.
    [15]
    李翠平,张佳,钟媛. 基于云计算和工作流的煤矿设备管理EAM系统[J]. 工程科学学报,2015,37(4):528-534.

    LI Cuiping,ZHANG Jia,ZHONG Yuan. Enterprise asset management system of coal mine equipment basing on cloud computing and workflow[J]. Chinese Journal of Engineering,2015,37(4):528-534.
    [16]
    万喜临. 煤矿机电设备健康管理系统关键技术的研究[D]. 西安: 西安科技大学, 2011.

    WAN Xilin. The research of coal mine mechanical & electrical equipment health management system key technology[D]. Xi'an: Xi'an University of Science and Technology, 2011.
    [17]
    王正龙. 基于工作流的安全生产监督管理系统[D]. 长春: 吉林大学, 2014.

    WANG Zhenglong. System of production safety supervise and management based on workflow[D]. Changchun: Jilin University, 2014.
    [18]
    孙笑笑. 煤矿安全技术服务信息管理系统[D]. 徐州: 中国矿业大学, 2021.

    SUN Xiaoxiao. Coal mine safety technology service information management system[D]. Xuzhou: China University of Mining and Technology, 2021.
    [19]
    李俊霞,孙江峰. B/S架构的煤矿智能化信息管理平台的设计和实现[J]. 河南师范大学学报(自然科学版),2014,42(1):170-174.

    LI Junxia,SUN Jiangfeng. Mine intelligent information management platform design and implementation based on B/S[J]. Journal of Henan Normal University(Natural Science Edition),2014,42(1):170-174.
    [20]
    姜水军,胡敏. 煤质全过程管理系统设计[J]. 工矿自动化,2021,47(4):116-120.

    JIANG Shuijun,HU Min. Coal quality whole process management system design[J]. Industry and Mine Automation,2021,47(4):116-120.
    [21]
    张志强,安景文. 基于Petri网的煤矿井下工程全生命周期过程建模研究[J]. 煤炭工程,2015,47(7):142-144,148. doi: 10.11799/ce201507046

    ZHANG Zhiqiang,AN Jingwen. Whole life cycle process modeling of underground coal mine project based on Petri net[J]. Coal Engineering,2015,47(7):142-144,148. doi: 10.11799/ce201507046
    [22]
    方杰. 基于jBPM的动态工作流的研究与应用[D]. 南昌: 南昌大学, 2018.

    FANG Jie. Research and application of dynamic workflow based on jBPM[D]. Nanchang: Nanchang University, 2018.
    [23]
    张贝贝. 面向BIM施工管理的动态工作流协同架构研究与设计[D]. 西安: 西安理工大学, 2020.

    ZHANG Beibei. Research and design of dynamic workflow collaborative architecture for BIM construction management[D]. Xi'an: Xi'an University of Technology, 2020.
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