基于改进肯特指数法的物联网——海绵城市运营风险防控研究
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摘要
随着物联网在经济社会各领域应用的拓展深化,物联网成为海绵城市智能化建设的有效手段。物联网与海绵城市建设的结合为海绵城市的发展带来新机遇的同时,也带来风险。本文重点研究物联网在海绵城市运营阶段的风险评估问题,对物联网—海绵城市运营安全的系统构建层级进行了划分,并对每一层级的风险点进行具体分析;然后,基于肯特指数法,结合物联网—海绵城市风险点,提出了基于改进肯特指数法的物联网—海绵城市风险评价模型;最后将该模型运用到某物联网—海绵城市管理系统的风险评估案例中,进行效果验证。案例分析表明,该物联网—海绵城市的系统运营风险处于可接受水平,来自系统外部的主要风险因素为物联网病毒及自然灾害。
With the expansion of the application scope of Internet of Things technology in China, the combination of Internet of Things and sponge cities will bring new opportunities to the development of sponge cities, but at the same time,it will also bring some risks. Because the value of IOT-sponge city is in the operation stage, in order to quantitatively analyze the risk of IOT-sponge city in the operation stage, the risk factors of IOT-sponge city in the sensing layer,information transmission layer and intelligent management layer are analyzed first. In the field of pipeline risk assessment,the relatively mature Kent index method is used to improve the risk evaluation index of Internet of Things-Sponge City.The risk evaluation model of Internet of Things-Sponge City based on Kent index method is established, and the model is applied to the risk assessment case of a city's Internet of Things-Sponge City Management System. Case analysis shows that the operational risk of the IOT-sponge city system is at an acceptable level, and the main risk factors from the outside of the system in the IOT-sponge city operation process are Internet of Things virus and natural disasters.
With the expansion of the application scope of Internet of Things technology in China, the combination of Internet of Things and sponge cities will bring new opportunities to the development of sponge cities, but at the same time,it will also bring some risks. Because the value of IOT-sponge city is in the operation stage, in order to quantitatively analyze the risk of IOT-sponge city in the operation stage, the risk factors of IOT-sponge city in the sensing layer,information transmission layer and intelligent management layer are analyzed first. In the field of pipeline risk assessment,the relatively mature Kent index method is used to improve the risk evaluation index of Internet of Things-Sponge City.The risk evaluation model of Internet of Things-Sponge City based on Kent index method is established, and the model is applied to the risk assessment case of a city's Internet of Things-Sponge City Management System. Case analysis shows that the operational risk of the IOT-sponge city system is at an acceptable level, and the main risk factors from the outside of the system in the IOT-sponge city operation process are Internet of Things virus and natural disasters.
引文
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[2]住房和城乡建设部印发.《海绵城市建设技术指南--低影响开发雨水系统构建》[J].建设科技,2015(01):10.
[3]赵蕾,卢浩,王明洋,等.改进肯特指数法在地铁施工风险评估中的应用[J].武汉理工大学学报,2012,34(12):97-102.
[4]COZZARELLI I M,SKALAK K J,KENT D B,Et Al.Environmental Signatures And Effects Of An Oil And Gas Wastewater Spill In The Williston Basin,North Dakota[J].Science Of The Total Environment,2017,579:1781-1793.
[5]范春莉.Epcglobal China成立暨2004中国EPC与物联网高层论坛在京举行[J].信息与电脑,2004(5):6.
[6]刘永谋,吴林海.物联网的本质、面临的风险与应对之策[J].中国人民大学学报,2011,25(4):35-40.
[7]沈斌,刘渊.物联网应用的安全与隐私问题审视[J].自然辩证法通讯,2011,33(6):77-83+127-128.
[8]王郁,郭丽芳,马家齐,等.“互联网+”视域下智慧物流实时风险管理机制研究[J].管理现代化,2018,38(1):98-101.
[9]CALLEGATI F,GIALLORENZO S,MELIS A,Et Al.Cloud-Of-Things Meets Mobility-As-A-Service:An Insider Threat Perspective[J].Computers&Security,2018,74:277-295.
[10]“海绵城市”概念的起源和国外流行表述方法[J].建筑砌块与砌块建筑,2015(4):47.
[11]俞孔坚,李迪华,袁弘,等.“海绵城市”理论与实践[J].城市规划,2015,39(6):26-36.
[12]仇保兴.海绵城市(LID)的内涵、途径与展望[J].建设科技,2015(01):11-18.
[13]车伍,赵杨,李俊奇.海绵城市建设热潮下的冷思考[J].南方建筑,2015(04):104-107.
[14]董淑秋,韩志刚.基于“生态海绵城市”构建的雨水利用规划研究[J].城市发展研究,2011,18(12):37-41.
[15]仇保兴.如何使海绵城市更具“弹性”[J].建设科技,2017(01):14-16.
[16]俞孔坚,李迪华,袁弘,等.“海绵城市”理论与实践[J].城市规划,2015,39(6):26-36.
[17]RATHORE M M,PAUL A,AHMAD A,Et Al.Real-Time Secure Communication For Smart City In High-Speed Big Data Environment[J].Future Generation Computer Systems-The International Journal Of Escience,2018,83:638-652.
[18]李运杰,张弛,冷祥阳,等.智慧化海绵城市的探讨与展望[J].南水北调与水利科技,2016,14(1):161-164+171.
[19]董金凯,孟青亮,冯力文.智慧海绵系统的总体架构与关键技术初探[J].智能城市,2017,3(12):19-21.
[20]苏锋.BIM技术在小寨海绵城市全生命周期工程建设应用[J].水利规划与设计,2018(02):19-22+44.
[21]曾宪云.城市高架路施工安全风险评价研究[D].成都:西南交通大学,2016.
[22]陆新鑫,徐秀丽,李雪红,等.基于肯特指数法的桥梁施工安全风险评估[J].中国安全科学学报,2013,23(6):165-171.
[23]贺建.住宅产业化视角下绿色建筑部品供应商的选择评价研究[D].成都:西南石油大学,2017.
[24]MUHLBAUER W K.Pipeline Risk Management Manual:Ideas,Techniques,And Resources[M].Elsevier:San Diego,CA,2003.
[25]邢捷.物联网安全威胁建模方法研究[D].北京:北京交通大学,2013.
[26]ABRAHAMSEN E B,ABRAHAMSEN H B,MILAZZO M F,et al.Using the ALARP Principle for Safety Management in the Energy Production Sector of Chemical Industry[J].Reliability Engineering&System Safety,2018,169:160-165.