人工智能在智能变电站设备状态监测中的应用

Application of Artificial Intelligence in the Condition Monitoring of Intelligent Substation Equipment

文中针对智能变电站设备的运行状况监护需求,研发了一套融合尖端人工智能技术的监测策略。通过深入剖析具体案例,证实了该方案在性能上的卓越表现。传统的监测手段在精度和即时性上有局限性,无法迎合智能电网的高标准要求。在这种情境下,人工智能技术凭借其在数据剖析、图式辨识以及未来走向预估等的卓越能力,为变电站设备的状态监控带来了变革。此外,论述了该监控策略,涵盖了原始数据的筛选与整合、监控算法的构建,以及异常状况的识别与未来潜在故障的预估等核心步骤。经过实证可知,该策略提升了预警系统的精确度,优化了运维工作的流程,降低了设备故障的发生率,保障了智能电网的稳健运作。

A monitoring strategy that integrates cutting-edge artificial intelligence technology has been developed in response to the operational monitoring requirements of intelligent substation equipment.Through in-depth analysis of specific cases,the outstanding performance of the proposed solution has been confirmed.Traditional monitoring methods have limitations in accuracy and timeliness,and cannot meet the high standard requirements of smart grids.In this context,artificial intelligence technology,with its outstanding capabilities in data analysis,pattern recognition,and future direction prediction,has brought about a revolution in the status monitoring of substation equipment.In addition,the monitoring strategy was discussed,covering core steps such as screening and integrating raw data,constructing monitoring algorithms,identifying abnormal conditions,and estimating potential future failures.Empirical evidence shows that this strategy improves the accuracy of the warning system,optimizes the operation and maintenance workflow,reduces the occurrence rate of equipment failures,and ensures the stable operation of the smart grid.