基于模糊推理的电力信息系统日志融合技术

He Dong, Wang Hongkai, Wu Xiaohua, H. Haichao, Mao Shule, Gao Yang
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引用次数: 0

摘要

为了克服传统电力信息系统存在的问题,提高电力信息系统的工作效率,提出了一种基于模糊推理的电力信息系统日志融合技术的构建方法。该构建方法针对传统电力信息系统中数据多源、异构、海量的特点,以及当前社会对电力信息系统的要求。基于此,构建方法融合了海量多源异构测井数据融合处理技术、数据分析技术、大数据评价技术等多种高新技术。研究结果表明,该构建方法可以从多源异构数据的采集与传输过程、海量数据的识别与过滤过程等多个方面对现有电力信息系统进行优化,进而从根本上提高电力信息系统的工作效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Log fusion technology of power information system based on fuzzy reasoning
In order to overcome the problems of traditional power information system and improve the work efficiency of power information system, a novel construction method of log fusion technology of power information system based on fuzzy reasoning is proposed in this paper. The construction method aims at the characteristics of the data in the traditional power information system, which are multi-source, heterogeneity and magnanimity, and the requirements of the current society for the power information system. Based on this, the construction method integrates a variety of high and new technologies, such as massive multi-source heterogeneous log data fusion processing technology, data analysis technology, big data evaluation technology and so on. The research results show that the construction method can optimize the current power information system from many aspects, such as the process of collection and transmission of multi-source heterogeneous data, the process of identifying and filtering massive data, and then fundamentally improve the work efficiency of the power information system.
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