基于大数据分析的园区能源互联网电力信息管理系统设计

Design of Internet power information management system for energy in the park based on big data analysis

随着园区级能源互联网的迅速发展,能源数据海量聚集,园区能源大数据分析显得越发重要,而电力数据作为能源数据的重要组成部分,开展园区电力数据采集分析成为园区能源大数据分析的关键。传统系统采集电力信息时,原始数据中缺省值和异常值较多,信息数据中存在噪声,导致系统管理效率和吞吐性能较差。为此,提出基于大数据分析的能源互联网电力信息管理系统。硬件设计方面,选取数据采集通道、通信接口、人机交互等,作为数据采集器主要组件,采用底板和核心板方式,优化电源电路;软件设计方面,利用能源互联网监控电力设备,通过大数据分析技术,挖掘电力信息数据,预处理后导入数据库,记录电力信息属性和联系,为管理者提供支持度较高的关联数据。实验结果表明,设计系统相比传统系统,缩短了数据插入时间、访问时间、计算时间,提高了信息管理效率,同时提高了数据库读写速度,保证了园区系统电力信息数据的吞吐性能,能够满足长期运行需求。

With the rapid development of the park level energy Internet, the energy data mass gathering, the park energy big data analysis becomes more and more important, and the power data as an important part of the energy data, to carry out the park power data collection analysis has become the key of the park energy big data analysis. When the traditional system collects power information, there are many default values and outliers in the original data, and there is noise in the information data, which leads to poor management efficiency and throughput performance of the system. Therefore, the energy Internet power information management system based on big data analysis is proposed. In terms of hardware design, data acquisition channels, communication interfaces, human-computer interaction, etc., were selected as the main components of the data acquisition collector. The baseboard and core board were adopted to optimize the power supply circuit. In terms of software design, power equipment is monitored by using energy Internet, power information data is mined through big data analysis technology, pre-processed and imported into the database, power information attributes and connections are recorded, and associated data with high support degree is provided for managers. The experimental results show that compared with the traditional system, the designed system can shorten the data insertion time, access time and calculation time, improve the efficiency of information management, and improve the speed of database reading and writing, so as to ensure the throughput performance of the power information data of the park system and meet the long-term operation requirements.