| 陆省明,胡春潮,张延旭.基于数据融合的电力设备运维策略优化研究[J].,2019,47(3):37-40. |
| 基于数据融合的电力设备运维策略优化研究 |
| Research on Operation and Maintenance Strategy Optimization of Power Equipment Based on Data Fusion |
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| DOI: |
| 中文关键词: 电力设备 数据融合 策略优化 运行 维护 |
| 英文关键词: power equipment data fusion strategy optimization operation maintenance |
| 基金项目: |
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| 中文摘要: |
| 以实际案例分析为切入点,提出了基于数据融合的电力设备运维策略优化方法。首先在现有电力设备运维方式下对案例事故的处理方法及流程进行了剖析,指出了其所存在的局限性。然后,对现有电力数据对于运维的辅助信息进行充分挖掘,通过强化各系统间数据交互性,基于数据融合方法对案例所涉及的运维系统进行了优化和改造。最后展示了在新运维方式下,案例事故在处理方法、处理流程、及处理时间上所展现的优势,论证了本文所提出的电力设备运维策略优化方法的可行性。 |
| 英文摘要: |
| This paper takes the actual case analysis as the starting point,it proposes a strategy optimization method for operation and maintenance of power equipment based on data fusion. At ?rst, this paper analyzes the treatment method and process of the accident case under the existing operation and maintenance mode of power equipment,and points out its limitations. Then, the auxiliary information of operation and maintenance is fully mined for the existing power data, and the operation and maintenance system involved in the accident case is optimized and reformed by strengthening the data interactivity between dicerent systems and based on data fusion method. Finally,it shows the advantages of accident case treatment in treatment method, treatment process and treatment time under the new mode of operation and maintenance.And it also demonstrates the correctness and feasibility of the strategy optimization method for operation and maintenance of power equipment proposed in this paper. |
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