大数据与可视化在电力设备管理中的创新应用

Innovative application of big data and visualization in power equipment management

本文针对当下智能电网技术蓬勃发展和电力设备管理不尽人意的矛盾而展开研究,目的是找出一条可以快速实现电力设备的安全和高效运行的道路。本文所使用的理论和对象,均已获得业内普遍认可,包括以往电力设备的管理和检修策略、智能电网时代的电力设备检测技术方法以及大数据和可视化技术的发展现状和趋势等,因而具有坚实的理论和实践基础。通过定性与定量研究、经验比较与描述性研究、跨学科与探索性研究等方法,得出结论,随着信息技术的迅速发展和大数据时代的到来,电力设备管理一直无法实现突破的障碍已经被打破。进而提出,只有结合电力行业大数据特征设置关键性指标,并以此为核心打造内在数据逻辑体系和外在可视化体系,才能实现电力设备管理的迭代。文章最后对新时代电力设备管理进行了展望,并以设置财务分析指标体系为例,对电力设备管理智能系统进行了框架性构建。

This article aims at the contradiction between the booming of smart grid technology and the unsatisfactory management of the power equipment. The purpose is to find a way to quickly realize the safe and efficient operation of the power equipment. The theory and object used in this paper have been widely recognized in the industry,including the management and maintenance strategy of power equipment,the technology method of power equipment detection in the age of smart grid,the development status and trend of big data and visualization technology and so on,and thus has a solid theoretical and practical basis. Through qualitative and quantitative research,empirical comparison and descriptive research,interdisciplinary and exploratory research,the conclusion is that with the rapid development of information technology and the coming of the era of big data,the obstacles that power equipment management has been unable to achieve breakthrough have been broken. Then,it is proposed that only key indexes should be set up in combination with the characteristics of big data in the power industry,and the internal data logic system and external visualization system can be built at the core to realize the iteration of the power equipment management. In the end,the paper looks forward to the power equipment management in the new era,and takes the financial analysis index system as an example to make a frame construction of the power equipment management intelligent system.