| 基于电力资产全寿命周期的标签画像技术研究 |
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| 引用本文：赵永柱1,马霁讴1,张可心2.基于电力资产全寿命周期的标签画像技术研究[J].电网与清洁能源,2018,34(1):51~58 |
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| 中文摘要:利用大数据分析挖掘技术，以“标签”形式，构建多层次、多视角、立体化的资产全寿命周期画像，实现对电力资产特征的全面刻画，准确把握设备运行状态，实现资产全寿命周期的精细化、差异化管理。成果可对电网规划设计、设备运行、设备检修及退役工作给出有效的指导和建议，提升采购设备在全寿命周期中的质量以及电网的可靠性和安全性。 |
| 中文关键词:资产全寿命周期 标签画像 大数据 |
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| Research on the Label Portrait Technology Based on Life Cycle of Electricity Assets |
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| Abstract:Based on the big data analysis and mining technology， this paper built a multilevel， mufti-angle and three-dimensional asset life cycle period portrait in the form of “labeling” to achieve the comprehensive description of the characteristics of electric power assets. In this way， the equipment operation status can be accurately grasped and the fine and differentiated management can be realized. The results of this paper can provide effective guidance and suggestions for power grid planning and design， equipment operation and maintenance and decommissioning work. It can also provide reasonable suggestions for the reasonable timing of operation， maintenance and decommissioning of equipment to improve the quality of equipment procurement in the whole life cycle， and the reliability and safety of the power grid. |
| keywords:asset life cycle equipment portrait label construction big data |
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