基于云平台的矿井水害智慧应急救援系统与应用
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摘要
随着云计算、物联网、大数据、人工智能等技术的发展,智慧应急救援已成为矿山安全生产监察的迫切需求。提出了基于云平台的矿井水害智慧应急救援服务体系,采用混合云架构,提供按需和弹性计算能力及存储资源。通过集成与挖掘所有可能的历史和实时数据,建立云环境下多源异构、大规模、跨领域、动态信息资源"一张图",推动信息资源共享,建设应急救援智库。在此基础上,研发了应急救援系统,实现数值模拟、预测预警、应急疏散、应急评估、人员设备管理等功能,支持矿山应急演练和应急决策,依托现代信息技术为矿井水害应急救援提供智能化的服务和管理,实现矿井水害事故预防、检测、预警、处置、评估等全过程动态管理和控制。
With the development of cloud computing,internet of things,big data,artificial intelligence and other technologies,smart emergency rescue has become an urgent need for the supervision of mine production safety.This paper proposes a service architecture,using hybrid cloud architecture to provide on-demand and elastic computing power and storage resources.Through the integration and mining of all possible historical and real-time data,a"one map"of heterogeneous,large-scale,cross-domain and dynamic information resources in cloud environment is established to promote the sharing of information resources and build intelligent databases.On this basis,an emergency rescue system has been developed to achieve the functions such as numerical simulation,prediction and early warning,emergency evacuation,emergency assessment,and personnel and equipment management,to support mine emergency drills and emergency decision-making.Relying on modern information technology,it provides intelligent service and management for emergency rescue in mine water disaster to realize the dynamic management and control of the whole process of mine water accident prevention,detection,early warning,disposal and evaluation.
With the development of cloud computing,internet of things,big data,artificial intelligence and other technologies,smart emergency rescue has become an urgent need for the supervision of mine production safety.This paper proposes a service architecture,using hybrid cloud architecture to provide on-demand and elastic computing power and storage resources.Through the integration and mining of all possible historical and real-time data,a"one map"of heterogeneous,large-scale,cross-domain and dynamic information resources in cloud environment is established to promote the sharing of information resources and build intelligent databases.On this basis,an emergency rescue system has been developed to achieve the functions such as numerical simulation,prediction and early warning,emergency evacuation,emergency assessment,and personnel and equipment management,to support mine emergency drills and emergency decision-making.Relying on modern information technology,it provides intelligent service and management for emergency rescue in mine water disaster to realize the dynamic management and control of the whole process of mine water accident prevention,detection,early warning,disposal and evaluation.
引文
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[2]武强,管恩太.煤矿水害应急救援预案探讨[J].煤炭学报,2006,31(4):409-413.WU Qiang,GUAN Entai. A preliminary study on water disaster emergency rescue counterplan in coal mine[J]. Journal of China Coal Society,2006,31(4):409-413.
[3]国办发.国务院办公厅关于印发国家突发事件应急体系建设“十三五”规划的通知[EB/OL]. http://www. gov. cn/zhengce/content/2017-07/19/content_5211752.htm,2017-07-19.
[4] KURTZ W,LAPIN A,SCHILLING OS,et al.Integrating hydrological modelling,data assimilation and cloud computing for realtime management of water resources[J]. Environmental Modelling&Software,2017(93):418-435.
[5] HUANG Qunying,CERVONE Guido,ZHANG Guiming.A cloud-enabled automatic disaster analysis system of multi-sourced data streams:An example synthesizing social media,remote sensing and Wikipedia data[J]. Computers,Environment and Urban Systems,2017(66):23-37.
[6] MONIKA M,ASHIS KP,SUMA D,et al. Cloud based management and control system for smart communities:A practical case study[J].Computers in Industry,2015(74):162-172.
[7] PALMIERI F,FICCO M,PARDI S,et al.A cloud-based architecture for emergency management and first responders localization in smart city environments[J]. Computers and Electrical Engineering,2016,56:810-830.
[8] JONES David,JONES Norm,GREER James,et al. A cloud-based MODFLOW service for aquifer management decision support[J].Computers&Geosciences,2015(78):81-87.
[9] SUN E,ZHANG X,LI Z. The internet of things(IOT)and cloud computing(CC)based tailings dam monitoring and pre-alarm system in mines[J].Safety Science,2012,50(4):811-815.
[10] REEM AAK,ABDEL RA,MAZHER J.An integrated architectural framework for geoprocessing in cloud environment[J].Spat.Inf.Res.2017(25):89-97.
[11] LIU Y,SUN AY,NELSON K,et al.Cloud computing for integrated stochastic groundwater uncertainty analysis[J]. International Journal of Digital Earth,2012:1-25.
[12] KONSTANTINOS C,HRYSOULA P,CHRISTOS D,et al. Earth and groundwater visualisation using 3D modelling techniques in a cloud computing environment[J]. IEEE Symposium on Signal Processing and Information Technology,2014:78-84.
[13] KHALID O,KHAN MUS,HUANG Y,et al.EvacSys:A cloud-based service for emergency evacuation[J]. IEEE Cloud Computing,2016,3(1):60-68.
[14] OGUCHI Masato,HARA Ruriko.A speculative control mechanism of cloud computing systems based on emergency disaster information using SDN[J]. Procedia Computer Science,2016(98):515-521.
[15] EIRINAKI M,DHAR S,MATHUR S,et al.A building permit system for smart cities:A cloud-based framework[J].Computers,Environment and Urban Systems,2018(70):175-188.
[16]刘建,郜彤,刘传安.基于“国家安监云”的煤矿安监执法平台研究[J].煤矿安全.2018,49(1):237-240.LIU Jian,GAO Tong,LIU Chuanan. Research on coal mine safety supervision and law enforcement platform based on national security supervision cloud[J]. Safety in Coal Mines,2018,49(1):237-240.
[17] RAJKUMAR B,CHEE S Y,SRIKUMAR V,et al.Cloud computing and emerging IT platforms:Vision,hype,and reality for delivering computing as the 5th utility[J]. Future Generation Computer Systems,2009,25(6):599-616.
[18]袁宏永,黄全义,苏国锋,等.应急平台体系关键技术研究的理论与实践[M].北京:清华大学出版社,2013:1-465.
[19]韩建国.神华智能矿山建设关键技术研发与示范[J].煤炭学报,2016,41(12):3181-3189.HAN Jianguo.Key technology research and demonstration of intelligent mines in Shenhua Group[J]. Journal of China Coal Society,2016,41(12):3181-3189.
[20]武强,徐华,杜沅泽,等.矿山突(透)水灾害应急疏散模拟系统与工程应用[J].煤炭学报,2017,42(10):2491-2497.WU Qiang,XU Hua,DU Yuanze,et al.Emergency evacuation simulation for water bursting disaster in mine[J]. Journal of China Coal Society,2017,42(10):2491-2497.