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电网雷电大数据采集系统研发 被引量:6

Research and Development of Lightning Big Data Acquisition System in Power Grid
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摘要 随着中国电网雷电监测预警网中雷电相关探测设备规模不断扩大,为提升雷电数据采集的实时性、完整性和准确性,研发了电网雷电大数据采集系统。阐述了雷电大数据的产生,分析了现有雷电数据采集方案存在的问题,说明了基于分布式集群的系统关键技术方案,介绍了雷电大数据采集系统具体实现的功能,并选择某省电网进行系统的部署及应用。应用效果表明,提出的电网雷电大数据采集系统能显著提升数据采集性能,同时具备全方位监控、智能化运维等特点,为雷电数据采集设备提供了统一的、稳定的、可扩展的数据接入平台,对电网雷电监测预警网的安全稳定运行具有重要意义。 With the continuous expansion of lightning related detection equipment in the lightning detection and warning network of China's power grid, in order to improve the real-time, integrity and accuracy of lightning data acquisition, a lightning big data acquisition system is proposed and developed. In this paper, it describes the generation of lightning big data, then analyzes the existing problems of the existing lightning data acquisition scheme, then shows the key technical scheme of the system based on distributed cluster technology, then explains the realized function of lightning big data acquisition system, and then choose a province power grid for system deployment and application. The effect of application shows that the lightning big data acquisition system proposed in this paper can significantly improve the data acquisition performance, and it has the characteristics of omnidirectional monitoring and smart operation. It provides a unified, stable and extensible data access platform for lightning detection equipment, and it is of great significance to the safe and stable operation of lightning detection and warning network.
作者 朱晔 姜志博 田浩 陶汉涛 吴大伟 张磊 何君 ZHU Ye;JIANG Zhibo;TIAN Hao;TAO Hantao;WU Dawei;ZHANG Lei;HE Jun(NARI Group Corporation Ltd., Nanjing 211106, China;Wuhan NARI Limited Liability Company, State Grid ElectricPower Research Institute, Wuhan 430074, China;Hubei Key Laboratory of Power Grid Lightning Risk Prevention,Wuhan 430074, China)
出处 《高压电器》 CAS CSCD 北大核心 2019年第4期160-168,共9页 High Voltage Apparatus
基金 国家自然科学基金项目(51777037) 国家电网公司科技指南项目(524625170011)~~
关键词 数据采集 分布式 集群 雷电大数据 智能运维 data collection distribution cluster lightning big data smart operation
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