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[1]张巨峰,施式亮,邵淑珍,等.基于动态数据驱动的煤矿瓦斯异常涌出风险预警系统设计*[J].中国安全生产科学技术,2022,18(2):100-105.[doi:10.11731/j.issn.1673-193x.2022.02.015]
　ZHANG Jufeng,SHI Shiliang,SHAO Shuzhen,et al.Design on early warning system of gas abnormal emission risk in coal mine based on dynamic data-driven[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(2):100-105.[doi:10.11731/j.issn.1673-193x.2022.02.015]
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基于动态数据驱动的煤矿瓦斯异常涌出风险预警系统设计*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年2期
页码:
100-105
栏目:
职业安全卫生管理与技术
出版日期:
2022-02-28

文章信息/Info

Title:
Design on early warning system of gas abnormal emission risk in coal mine based on dynamic data-driven
文章编号:
1673-193X(2022)-02-0100-06
作者:
张巨峰; 施式亮; 邵淑珍; 游波; 吴芳华; 张立志
（1.湖南科技大学 资源环境与安全工程学院，湖南 湘潭 411201；
2.陇东学院 能源工程学院，甘肃 庆阳 745000）
Author(s):
ZHANG Jufeng;  SHI Shiliang;  SHAO Shuzhen;  YOU Bo;  WU Fanghua;  ZHANG Lizhi
(1.School of Resource & Environment and Safety Engineering,Hunan University of Science and Technology,Xiangtan Hunan 411201,China;
2.School of Energy Engineering,Longdong University,Qingyang Gansu 745000,China)
关键词:
数据驱动; 瓦斯; 异常涌出; 风险预警; 预警系统
Keywords:
data-driven;  gas;  abnormal emission;  risk early warning;  early warning system
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2022.02.015
文献标志码:
A
摘要:
为解决煤矿瓦斯异常涌出风险预警过程中过度依赖系统模型，不能动态实时修正预测模型，预测、预报精准度和可靠度不高的难题，基于动态数据驱动技术，搭建瓦斯异常涌出风险预警系统架构，探讨动态数据驱动的瓦斯涌出监测曲线拟合、动态预警模型选择和修正、预警系统研发等关键性技术，开发基于动态数据驱动的瓦斯异常涌出风险预警系统软件。结果表明：动态数据驱动技术在煤矿瓦斯异常涌出风险预警方面具有强大的信息处理和问题求解能力，可实现仿真系统与实际系统间的动态响应和控制功能，并实时反馈修正，使预测结果更加精确、可靠，设计研发的预警系统可在矿井受瓦斯异常涌出威胁时发出可靠的预警信号。
Abstract:
In order to solve the problems of excessive dependence on the system model in the early warning process of gas abnormal emission risk in coal mine,unable to dynamically modify the prediction model in real time,and the accuracy and reliability of prediction and forecasting are not high,the framework of an early warning system of gas abnormal emission risk was built based on the dynamic data-driven technology.The key technologies of the fitting of gas emission monitoring curve,the selection and correction of dynamic early warning model and the development of early warning system based on dynamic data-driven were discussed,and an early warning system software of gas abnormal emission risk based on dynamic data-driven was developed.The results showed that the dynamic data-driven technology had strong capabilities of information processing and problem solving for the early warning of abnormal gas emission risk in coal mine.It could realize the dynamic response and control function between the simulation system and the actual system,and feed back and correct in real time,so as to make the prediction results more accurate and reliable.The designed and developed early warning system could send the reliable early warning signal for the mine threatened by the abnormal gas emission.

参考文献/References:

［1］安靖宇,张健,季德阁,等.基于分段拟合的煤自燃指标气体优选研究［J］.中国安全生产科学技术,2021,17(10):25-31.AN Jingyu,ZHANG Jian,JI Dege,et al.Research on optimization of index gas for coal spontaneous combustion based on piecewise fitting［J］.Journal of Safety Science and Technology,2021,17(10):25-31.
［2］刘义,石必明,张煜,等.煤与瓦斯突出两相流传播特性实验研究［J］.中国安全生产科学技术,2021,17(7):91-96.LIU Yi,SHI Biming,ZHANG Yu,et al.Experimental study on propagation characteristics of two—phase now in coal and gas outburst［J］.Journal of Safety Science and Technology,2021,17(7):91-96.
［3］谢和平.深部岩体力学与开采理论研究进展［J］.煤炭学报,2019,44(5):1283-1305.XIE Heping.Research review of the state key research development program of China:Deep rock mechanics and mining theory［J］.Journal of China Coal Society,2019,44(5):1283-1305.
［4］罗振敏,苏彬,王涛,等.矿井瓦斯控爆技术及材料研究进展［J］.中国安全生产科学技术,2019,15(2):17-24.LUO Zhenmin,SU Bin,WANG Tao,et al.Research progress on explosion control technology and materials of mining gas［J］.Journal of Safety Science and Technology,2019,15(2):17-24.
［5］王涛,王曌华,刘华博,等.冲击地压后瓦斯异常涌出条件及致灾原因分析［J］.煤炭学报,2014,39(2):371-376.WANG Tao,WANG Zhaohua,LIU Huabo,et al.Discussion about the mechanism of gas disaster induced by coal bump［J］.Journal of China Coal Society,2014,39(2):371-376.
［6］张巨峰,施式亮,鲁义,等.矿井瓦斯与煤自燃共生灾害:耦合关系、致灾机制、防控技术［J］.中国安全科学学报,2020,30(10):149-155.ZHANG Jufeng,SHI Shiliang,LU Yi,et al.Symbiotic disasters of mine gas and coal spontaneous combustion:coupling relationship,disaster mechanism,prevention and control technology［J］.China Safety Science Journal,2020,30(10):149-155.
［7］张巨峰,施式亮,谢亚东,等.基于瓦斯地质单元划分的矿井瓦斯精准抽采技术［J］.煤炭工程,2021,53(7):75-80.ZHANG Jufeng,SHI Shiliang,XIE Yadong,et al.Precise mine gas extraction based on gas geological unit division［J］.Coal Engineering,2021,53(7):75-80.
［8］孙继平.煤矿信息化自动化新技术与发展［J］.煤炭科学技术,2016,44(1):19-23，83.SUN Jiping.New technology and development of mine informatization and automation［J］.Coal Science and Technology,2016,44(1):19-23,83.
［9］张忠文,朱臣武,周海坤,等.煤矿安全监控联网大数据存储技术［J］.煤矿安全,2016,47(7):95-98.ZHANG Zhongwen,ZHU Chenwu,ZHOU Haikun,et al.Big data storage technology for coal mine safety monitoring networking ［J］.Safety in Coal Mines,2016,47(7):95-98.
［10］肖丹,李刚.采掘工作面瓦斯异常涌出灰色预警模型的建立和应用［J］.煤矿安全,2015,46(8):149-155.XIAO Dan,LI Gang.Establishment of gray early warning model for gas abnormal emission at extracting coal face and its application［J］.Safety in Coal Mines,2015,46(8):149-155.
［11］王菲茵.掘进工作面瓦斯异常涌出特征图像识别技术研究［D］.北京:中国矿业大学（北京）,2018.
［12］王菲茵,王启飞,张小千.瓦斯异常涌出混沌时间序列预测模型的建立［J］.中国煤炭,2017,43(8):138-143,175.WANG Feiyin,WANG Qifei,ZHANG Xiaoqian.Establishment of prediction model of abnormal gas emission based on chaotic time series［J］.China Coal,2017,43(8):138-143,175.
［13］张言辉.突出危险工作面瓦斯涌出异常识别与预警系统研究［D］.徐州:中国矿业大学,2015.
［14］马丽娟.瓦斯异常涌出动态响应机制及灾害控制技术的研究［D］.北京：煤炭科学研究总院,2009.
［15］杨艳国,穆永亮,秦洪岩.工作面瓦斯浓度时间序列特征挖掘与预警应用［J］.中国安全科学学报,2018,28(3):120-125.YANG Yanguo,MU Yongliang,QIN Hongyan.Research on time series characteristics of gas concentration at working face and application of them to early warning［J］.China Safety Science Journal,2018,28(3):120-125.
［16］应宇乾.基于数据驱动的烧结处理过程建模和控制［D］.杭州:浙江大学,2012.
［17］ 苏白燕,许强,黄健,等.基于动态数据驱动的地质灾害监测预警系统设计与实现［J］.成都理工大学学报(自然科学版),2018,45(5):615-625.SU Baiyan,XU Qiang,HUANG Jian,et al.Design and implementation of monitoring and warning system for geological disasters based on dynamic data-driven technology［J］.Journal of Chengdu University of Technology(Science & Technology),2018,45(5):615-625.
［18］韩守鹏,邱晓刚,黄柯棣.动态数据驱动的适应性建模与仿真［J］.系统仿真学报,2006,18(2):147-151.HAN Shoupeng,QIU Xiaogang,HUANG Kedi.Adaptive modeling and simulation of dynamic data driven application system［J］.Journal of System Simulation,2006,18(2):147-151.
［19］袁亮,姜耀东,何学秋,等.煤矿典型动力灾害风险精准判识及监控预警关键技术研究进展［J］.煤炭学报,2018,43(2):306-318.YUAN Liang,JIANG Yaodong,HE Xueqiu,et al.Research progress of precise risk accurate identification and monitoring early warning on typical dynamic disasters in coal mine［J］.Journal of China Coal Society,2018,43(2):306-318.
［20］伍小沙,田世祥,马瑞帅,等.煤体初始瓦斯涌出规律预测煤巷突出危险性研究［J］.中国安全生产科学技术,2021,17(4):116-121.WU Xiaosha,TIAN Shixiang,MA Ruishuai,et al.Study on prediction of outburst risk of coal roadway by initial gas emission law of coal body［J］.Journal of Safety Science and Technology,2021,17(4):116-121.

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备注/Memo

备注/Memo:
收稿日期： 2021-11-22；网络首发日期： 2022-02-26
* 基金项目： 国家自然科学基金项目（51974120，51774135，51974119)；甘肃省自然科学基金项目(21JR11RM049)；甘肃省高等学校创新能力提升项目(2019B-154)
作者简介： 张巨峰，博士研究生，教授，主要研究方向为煤矿灾害预防与控制。
通信作者： 施式亮，博士，教授，主要研究方向为煤矿灾害预防与控制、系统安全评价与预测、安全系统工程等。
更新日期/Last Update: 2022-03-18