Construction and Application of Power Data Operation Monitoring Platform Based on Knowledge Map Reasoning

IF 0.8 Q4 Computer Science

International Journal of Information Technologies and Systems Approach Pub Date : 2023-05-23 DOI:10.4018/ijitsa.323566

Zhao Yao, Yong Hu, Xingzhi Peng, Jiapan He, Xuming Cheng

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引用次数: 0

Abstract

Due to the gradual increase in daily power consumption by businesses and individuals, the power industry has seen an increased need to deploy more power equipment. This has led to a significant rise in the data generated by electrical equipment, a trend noted by the International Journal of Emerging Electrical Power Systems. In order to process, analyze, and manage such large amounts of data, it is necessary to introduce knowledge mapping technology into the power field. This technology allows the power data operation monitoring platform to obtain useful data from a large amount of information. In light of this phenomenon, based on an analysis of the requirements for platform construction and design principles, combined with the knowledge map reasoning method, this paper has effectively studied the construction of the power data operation monitoring platform and tested the performance of the experimental platform by assessing the response time of each functional module, data correctness verification, and data standard management.

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基于知识地图推理的电力数据运行监测平台的构建与应用

由于企业和个人的日常用电量逐渐增加，电力行业越来越需要部署更多的电力设备。这导致电气设备产生的数据显著增加，《国际新兴电力系统杂志》指出了这一趋势。为了处理、分析和管理如此大量的数据，有必要将知识映射技术引入电力领域。该技术使电力数据运行监测平台能够从大量信息中获得有用的数据。针对这一现象，本文在分析平台建设要求和设计原则的基础上，结合知识图谱推理方法，对电力数据运行监测平台的建设进行了有效的研究，并通过评估各功能模块的响应时间来测试实验平台的性能，数据正确性验证和数据标准管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Information Technologies and Systems Approach COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

12.50%

发文量