基于物联网的电网设备供应溯源评价体系研究
Research on Traceability Evaluation System of Power Grid Equipment Supply Based on Internet of Things
DOI: 10.12677/SG.2018.85049, PDF,   
作者: 郭 伟:国网江苏省电力有限公司,江苏 南京;冯曙明:江苏电力信息技术有限公司,江苏 南京
关键词: 物联网电网设备供应链溯源系统评价体系Internet of Things Grid Equipment Supply Chain Traceability System Evaluation System
摘要: 物联网是新一代信息技术的重要组成部分,也是“信息化”时代的重要发展阶段。本文运用文献研究法,在梳理国内外文献的基础上,以我国智能电网的发展现状为背景,基于物联网技术构建电网设备溯源评价的体系和关键技术,并对电网设备溯源体系进行价值分析,从产品维度和公司维度构建电网设备供应链溯源评价的三级指标体系,建立“源头可溯,去向可追,问题可查,风险可控”的电网设备供应商评价可追溯体系,为国网决策者选择优质的电网设备供应商提供有力决策依据,精准定位并解决电网设备供应链过程的各个环节出现的问题,提高电力企业经济效益和品牌价值及运维平台。
Abstract: The Internet of Things is an important part of the new generation of information technology, and an important stage of development in the era of “information”. This paper uses the way of literature research, on the basis of combing the literature at home and abroad, taking the current situation of the development of smart grid in our country as the background, based on the Internet of things technology and construction of power grid calibration evaluation system and the key technology, and a value analysis of grid calibration system, from the product dimension and the company for the degree of constructing the three-level index system of the evaluation of the power grid equipment supply chain, we establish the power grid equipment supplier evaluation traceability system “source can be traced back, the direction can be traced, the problem can be checked, the risk can be controlled”, which provides strong decision basis for state grid decision makers to select high-quality power grid equipment suppliers, and can accurately locate and solve problems in all links of power grid equipment supply chain, and improve the economic efficiency, brand value and operation and maintenance platform of power enterprises.
文章引用:郭伟, 冯曙明. 基于物联网的电网设备供应溯源评价体系研究[J]. 智能电网, 2018, 8(5): 449-456. https://doi.org/10.12677/SG.2018.85049

参考文献

[1] Akman, G. (2015) Evaluating Suppliers to Include Green Supplier Development Programs via Fuzzy c-Means and VIKOR Methods. Computers & Industrial Engineering, 86, 69-82. [Google Scholar] [CrossRef
[2] Luthra, S., Govindan, K., Kannan, D., Mangla, S.K. and Garg, C.P. (2017) An Integrated Framework for Sustainable Supplier Selection and Evaluation in Supply Chains. Journal of Cleaner Production, 140, 1686-1698. [Google Scholar] [CrossRef
[3] 林鸿基, 林振智, 林冠强, 等. 基于信息熵权和层次分析法的电网关键节点识别[J]. 广东电力, 2016, 29(12): 50-56.
[4] 曹一家, 何杰, 黄小庆, 等. 物联网技术在输变电设备状态监测中的应用[J]. 电力科学与技术学报, 2012, 27(3): 16-27.
[5] 吴英俊. 基于物联网技术的电力设备状态检修管理研究[D]: [硕士学位论文]. 北京: 华北电力大学, 2015.
[6] 高坡. 物联网下电网设备状态评估与维修决策模型及系统研究[D]: [硕士学位论文]. 北京: 华北电力大学(北京), 2016.
[7] 刘文霞, 赵天阳, 邱威, 等. 基于闭环供应链的集中性充-换电系统运营优化[J]. 中国电机工程学报, 2014, 34(22): 3732-3742.
[8] 侯丹, 李刚, 赵文清, 等. 大数据分析及可视化技术在电网公司的应用[J]. 智能电网, 2015, 3(12): 1186-1191.
[9] 吴聪. 乳制品供应链的溯源体系与预警模型研究[D]: [硕士学位论文]. 广州: 华南理工大学, 2014.
[10] 王振. 智能电网与物联网关键技术研究[D]: [硕士学位论文]. 济南: 山东大学, 2017.
[11] 林诗媛. RFID技术在电网工程供应链物资管理中的应用研究[D]: [硕士学位论文]. 北京: 华北电力大学(北京), 2016.
[12] 邹宗峰, 李莉. 基于物联网的配网设备管理研究与应用[J]. 管理观察, 2017(30): 40-41.
[13] 张东霞, 苗新, 刘丽平, 等. 智能电网大数据技术发展研究[J]. 中国电机工程学报, 2015(1): 2-12.