一种输变电设备多源数据处理系统的功能设计

Multi-source data processing system of electric transmission and transformation equipment

针对输变电设备状态评估数据来源多样、平台繁多以及数据质量参差不齐的问题,通过对输变电设备状态评估数据特点进行研究,提出了一种输变电设备多源数据处理系统的功能设计。设计了可提高设备状态评价、负载能力评估时多源数据质量的包含数据获取、跨平台接入、数据预处理及初步清洗、质量评价模型、规范化转换、数据输出等环节在内的系统功能。将输变电设备多源数据处理系统应用于大数据平台,研究了异构大数据的预处理、分布式存储和高效检索技术;分析了面向输变电大数据分析的核心算法及并行化技术。研究结果表明,运用输变电设备多源数据处理系统搭建的大数据全耦合分析模型框架可应用于电网,为生产运维人员评估输变电设备及电网风险提供数据支持。

Aiming at the problems of the data sources and data platform diversity, a multi-source data processing system was proposed. Based on the analysis of electric transmission and transformation equipment condition assessment data,the function including data preliminary pro-cessing, cross platform access, preliminary cleaning, quality evaluation model, specification conversion and data output function were de-signed. In addition, the multi-source data processing system of electric transmission and transformation equipment was applied to big data a-nalysis platform, distribute heterogeneous storage of big data and efficient retrieval technology were researched, and the parallel transmission technology for analysis of big data was focused on. The results indicate that the model framework of big data full coupling analysis can provide data support for the production of power transmission equipment and maintenance personnel.