基于电力大数据的3D智能运检平台的应用与研究

电力大数据时代下,电力设备状态监测、运检管理、调度运行、环境气象等数据逐步实现互通共享,大数据技术为电力设备状态评估和智能运检方面提供了全新的解决思路和技术手段,如何尽可能的收集电力运行大数据,如何充分利用起电力运行数据,无疑具有十分重大的意义。本文结合当下大数据技术及数据挖掘分析方法在电力设备状态评估中应用的现状,重点介绍了一款已投入实际应用的基于电力运行大数据的3D智能运检平台的基本构成原理、电力运行大数据分析的内涵和3D智能运检平台的一些实际典型应用案例,探讨了大数据技术在电力设备状态监测、异常分析、故障预测、智能诊断等典型运检场景中应用的方法和效果,并展望了电力运行大数据应用需要克服的几个难题和面对的发展机遇。

Application and research of 3D intelligent operation and maintenance platform based on power big data

The era of large power data, the informationization of electric power has reached a high level. Data from condition monitoring system, power production management system, operation dispatching system, and environmental meteorology system are gradually integrated and shared. Big data technologies provide new technical methods and tools for power equipment condition assessment and Intelligent operation and maintenance. It is of great significance to collect as much electricity as possible and how to make full use of the power operation data. The basic principle, the connotation of the large data analysis of the power operation and some typical typical application cases of the 3D intelligent transport inspection platform, which have been put into practical application, are introduced in detail, in consideration of the status quo of big data technology and data mining analysis in power equipment condition assessment. The methods and effects of big data techniques in application scenarios such as condition evaluation, anomaly detection, fault prediction and intelligent diagnosis are discussed. It also looks forward to several difficult problems and opportunities to be faced in the application of big data for power operation.