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基于大数据平台的智能电厂数据及系统集成方案研究
作者姓名:李维聪  胡玉涛  李伟
作者单位:1.中国能源建设集团广东省电力设计研究院有限公司, 广东 广州 510663
基金项目:中国能建广东院科技项目“智慧电厂关键技术及平台开发研究”(EV06231W)
摘    要:  目的  文章旨在通过研究智能电厂整体平台架构,对智能电厂各应用系统的数据采集及系统集成进行分类并提出融合方式,为智能电厂的系统与大数据平台集成融合提供参考方案。  方法  首先阐述智能电厂四大层次的划分,进而根据安全分区要求对应用系统的数据进行采集集成,以大数据平台数据库为核心进行交互,最后按照划分的三类集成类别分析智能电厂各应用系统的方案。  结果  智能电厂目前架构体系的分析整合以及数据采集和应用系统的集成极大地提高了大数据平台的效率及智能化水平。  结论  随着智能电厂在国内电力行业逐步推广应用,根据项目需求提前进行技术调研及规划更有利于搭建高集成度的智能一体化平台,有利于大数据分析及交互。

关 键 词:智能电厂    大数据平台    数据集成    系统集成    智能管控平台
收稿时间:2022-01-06

Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform
Affiliation:1.China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., Guangzhou 510663, Guangdong, China2.Guangdong Energy Group Co., Ltd., Guangzhou 510630, Guangdong, China
Abstract:  Introduction  The purpose of the research is to propose a classification and fusion method for the data acquisition and system integration of various application systems of the intelligent power plant by studying the overall platform architecture of the intelligent power plant, and provide a reference for the integration scheme of the system and the big data platform in intelligent power plant.   Method  First, the division of four levels of the intelligent power plant was described. Then, the application system's data was collected and integrated according to the safety partition requirements, with the big data platform database as the core for interaction. Finally, according to the classification of three types of integration, the scheme of intelligent power plant application system was analyzed.   Result  The analysis and integration of the current architecture system of the intelligent power plant and data acquisition and application system greatly improved the efficiency and intelligence level of the big data platform.   Conclusion  With the gradual promotion and application of intelligent power plants in the China's power industry, technical research and planning in advance according to the project needs is conducive to building a highly integrated intelligent integration platform, which is conducive to big data analysis and interaction.
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