[1]刘红星,杨红平,王民涛,等.基于实物 ID 的资产普查与隐患排查系统研究[J].计算机技术与发展,2021,31(02):209-215.[doi:10. 3969 / j. issn. 1673-629X. 2021. 02. 038]
LIU Hong-xing,YANG Hong-ping,WANG Min-tao,et al.Research on Material Survey and Hidden Danger Investigation System Based on Physical ID[J].,2021,31(02):209-215.[doi:10. 3969 / j. issn. 1673-629X. 2021. 02. 038]
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基于实物 ID 的资产普查与隐患排查系统研究(
)
《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]
- 卷:
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31
- 期数:
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2021年02期
- 页码:
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209-215
- 栏目:
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应用前沿与综合
- 出版日期:
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2021-02-10
文章信息/Info
- Title:
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Research on Material Survey and Hidden Danger Investigation System Based on Physical ID
- 文章编号:
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1673-629X(2021)02-0209-07
- 作者:
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刘红星1 ; 杨红平1 ; 王民涛1 ; 马玲玲1 ; 范天野2
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1. 国家电网内蒙古东部电力有限公司,内蒙古 呼和浩特 010011;?
2. 国家电网内蒙古东部电力有限公司资产分公司,内蒙古 呼和浩特 010010
- Author(s):
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LIU Hong-xing 1 ; YANG Hong-ping 1 ; WANG Min-tao 1 ; MA Ling-ling 1 ; FAN Tian-ye 2
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1. State Grid Inner Mongolia Eastern Power Co. ,Ltd. ,Hohhot 010011,China;?
2. Material Branch of State Grid Inner Mongolia Eastern Power Co. ,Ltd. ,Hohhot 010010,China
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- 关键词:
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实物 ID; 电力资产; 普查与隐患排查; 全景追溯; 隐患指数预测曲线
- Keywords:
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physical ID; electric power material; census and hidden danger investigation; panoramic retrospect; hidden danger index prediction curve
- 分类号:
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TP278
- DOI:
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10. 3969 / j. issn. 1673-629X. 2021. 02. 038
- 文献标志码:
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A
- 摘要:
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针对传统电力资产普查与隐患排查机制存在设备全生命周期成本核算数据归集困难、运维资产台账资料管理粗 放、主配网增存量运维数据共享机制缺失、资产普查与隐患排查数据治理及全景追溯具有滞后性等固有弊端,提出了一种 基于实物 ID 业务协同和数据共享机制的资产普查与隐患排查系统。 引入电网实物资产统一身份编码机制,实现电网主 配网存量全息运维数据的一键式获取,引入开放式数据共享接口与主配网存量设备隐患指数预测曲线,构建具备编码自 动分配与一致性校验、隐患排查信息完整可追溯、跨系统贯通与平台可移植、全息数据深度聚类分析与主动预警等功能的 电力资产全局协同精准化管理架构。 以国家电网内蒙古东部电力有限公司某 220 kV 变电站为效能评价载体,开发了资产 普查与隐患排查原型系统并进行了综合效能实证分析,一线运维验证结果表明原型系统具备电力设备全息数据便捷获取 与融合、电力资产普查台账实时更新、隐患排查数据的实时反馈与预警等全方位立体电力资产普查与隐患排查体系效能, 主配网设备物料分类、增存量设备分类、资产普查分类、隐患排查分级预警等多码对应的一致率达 100% ,实现了电力资产 全息数据全维度收集、全过程追踪、全方位共享。
- Abstract:
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In view of the inherent drawbacks of the traditional electric power material survey and hidden danger investigation mechanism, such? ?as the difficulty of collecting data of equipment life cycle cost accounting, extensive management of operation and maintenance assets account data,lack of data sharing mechanism of main distribution network stock operation and maintenance, lagging data management of material survey and hidden danger investigation and panoramic retrospective, etc. ,a kind of material survey and hidden danger detection system based on physical ID business cooperation and data sharing mechanism is proposed. The unified identity coding mechanism for physical assets of power grid is introduced to realize one - key acquisition of holographic operation and maintenance data of main distribution network stock. An open data sharing interface and a prediction curve of hidden danger index of main distri-bution network stock equipment are introduced to construct a global collaborative and precise management framework for power supplies with an automatic coding allocation and consistency check,complete and traceable hidden danger detection information,and cross-system and platform portability,in-depth clustering analysis of holographic data and active early warning,etc. Taking a 220 kV substation of Inner Mongolia Eastern Power Company of State Grid as the carrier of efficiency evaluation,the prototype system of material survey and hidden danger investigation is developed and the comprehensive efficiency analysis is carried out. The first-line operation and maintenance veri鄄 fication results show that the prototype system has the efficiency of the omni-directional three-dimensional electric power material survey and hidden danger survey system,such as convenient acquisition and integration of holographic data of power equipment, the timely updating of accounting of power material survey desk,and real-time feedback and early warning of hidden danger survey data. The con鄄 sistency rate of multi-codes corresponding to material classification of main distribution network equipment,incremental stock equipment classification,asset survey classification,hidden danger survey? class-ification and early warning reaches 100% ,realizing the all dimension?collection,whole process tracking and all-round sharing of holographic data of electric power assets.
更新日期/Last Update:
2020-02-10