摘要
基于大数据处理和数据挖掘技术,对电网企业变压器设备状态及风险数据分析研究,构建变压器设备运行状态特征分析和风险分析模型,实现对电网企业设备运行状况掌握及设备运行风险的预测,为生产人员和运维检修人员提供分析依据,提升风险防范能力,保证电力安全生产,从而减小经济损失。
Transformer equipment status and risk data analysis are studied in power grid enterprises based on big data processing and data mining technology, the transformer equipment running state characteristic analysis and risk analysis model are built Io realize management state and risk forecast of equipment operation in power grid enterprises, provide analysis basis for production personnel and operation and maintenance personnel, enhance the ability of risk prevention, ensure the safe production of electric power, so as to reduce the economic loss.
出处
《电力大数据》
2017年第10期22-30,共9页
Power Systems and Big Data