智能分析技术在变电站状态监测系统设计中的应用

Ninghui He, Pei Ding, Weiyan Sha, Xiuguang Li, Wen Li, Penggang Li
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引用次数: 0

摘要

近年来,随着生活水平的提高,人们对电力的需求逐渐增加。随着变电站信息化、数字化的快速发展,智能分析技术可以对变电站设备进行实时状态评估,提高智能变电站的故障处理效率。本文的目的是研究智能分析技术在变电站状态监测系统设计中的研究与应用。本文分析了基于智能分析技术的变电站状态监测系统的需求,详细描述了系统的应用体系结构和软件的总体结构。本文对所设计的系统进行了测试,实验结果表明,系统CPU利用率保持在50%~60%,内存利用率保持在61%~64%左右。可以看出,系统各组成部分能够协调、稳定运行,资源利用率波动较小,说明了系统架构的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Intelligent Analysis Technology in the Design of Substation Condition Monitoring System
In recent years, with the improvement of living standards, people's demand for electricity has gradually increased. With the rapid development of substation informatization and digitalization, intelligent analysis technology can conduct real-time status assessment of substation equipment and improve the efficiency of fault handling in smart substations. The purpose of this paper is to study the research and application of intelligent analysis technology in the design of substation condition monitoring system. This paper analyzes the requirements of the substation condition monitoring system based on intelligent analysis technology, and describes the application architecture of the system and the total volume architecture of the software in detail. This article tests the designed system, and the experimental results show that the system CPU utilization rate is maintained at 50%~60%, and the memory utilization rate is maintained at about 61%~64%. It can be seen that the various components of the system can coordinate and operate stably, and the resource utilization rate fluctuates little, indicating the feasibility of the system architecture.
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