大数据支持下的电力能源信息采集系统设计与实现
Design and Implementation of a Big Data-Supported Power Energy Information Collection System
周晓峰 1曾晨煌2
作者信息
- 1. 杭州简单点科技有限公司,浙江杭州 310000
- 2. 杭州百恒网络科技有限公司,浙江杭州 310000
- 折叠
摘要
文章设计和实现一种大数据支持下的电力能源信息采集系统,以提高电力系统的监测、分析及管理水平.通过架构数据采集层、数据传输层、数据处理层以及应用层,系统能够全面而实时地监测电力系统各个关键点,包括电力负载、可再生能源产量、设备运行状态等多方面的信息.在数据处理层,引入孤立森林算法,保证采集的电力能源信息质量的同时实现高效的数据清洗和异常检测.该系统可以为电力系统管理者提供更全面、实时、可靠的电力能源信息支持,从而提高决策效率和系统稳定性.
Abstract
The article designs and implements a big data-supported power and energy information collection system to improve the monitoring,analysis and management of power systems.Through the architecture of data acquisition layer,data transmission layer,data processing layer and application layer,the system is able to comprehensively and real-time monitor various key points of the power system,including power loads,renewable energy production and equipment operation status.In the data processing layer,the isolated forest algorithm is introduced to ensure the quality of collected power and energy information while realizing efficient data cleaning and anomaly detection.The system can provide power system managers with more comprehensive,real-time and reliable power energy information support,thus improving decision-making efficiency and system stability.
关键词
电力系统/大数据/信息采集/实时分析Key words
power system/big data/information collection/real-time analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据