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基于大数据挖掘技术的变电站智能巡视方法

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变电站内部电力设备种类较多且运行环境复杂,在长期运行过程中存在较大风险。文章提出基于大数据挖掘技术的变电站智能巡视方法。该方法从变电站配置的监控系统中提取变电站设备巡视数据,经过数据清洗、数据集成、数据转换等预处理,通过巡视数据发现设备缺陷状态,基于挖掘结果优化巡视并安排检修。实验结果表明,利用该巡视方法变电站内设备缺陷命中率高达 98。24%,实际巡视效果良好。
Substation intelligent inspection method based on big data mining technology
Because there are many kinds of power equipment in the substation and the operating environment is complex,there are great potential risks in the long-term operation process.This article puts forward an intelligent inspection method of substation based on big data mining technology.The inspection data of substation equipment is extracted from the monitoring system of substation configuration.After data cleaning,data integration,data conversion and other pretreatment,the inspection data finds the defect state of the equipment,and based on the mining results,the inspection is optimized and the maintenance is arranged.The experimental results show that the hit rate of equipment defects in the substation is as high as 98.24%under the inspection of the design method,and the actual inspection effect is good.

big data mining technologysubstationintelligent inspectioninspection method

李璐

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国网山西省电力公司 晋中供电公司,山西 晋中 030600

大数据挖掘技术 变电站 智能巡视 巡视方法

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(24)