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作 者:曾令荣 汪嘉明 郑建业 文耀华 孙智斌 ZENG Lingrong;WANG Jiaming;ZHENG Jianye;WEN Yaohua;SUN Zhibin(Guangdong Datang International Leizhou Power Generation Co.,Ltd.,524200;Shanghai Electric Power Generation Equipment Co.,Ltd.Generator Plant,200240)
机构地区:[1]广东大唐国际雷州发电有限责任公司,524200 [2]上海电气电站设备有限公司发电机厂,200240
出 处:《电机技术》2024年第4期46-49,共4页Electrical Machinery Technology
摘 要:传统工程配套的发电机在线监测辅助分析系统通常基于独立架构部署,以MODBUS串口通信的方式,获取发电机实时运行参数。近年来,随着智慧电厂概念的提出,越来越多的电厂开始使用覆盖全厂设备的大数据中心平台,实现对全厂设备状态的实时跟踪和状态诊断。文章提出了一种基于大数据中心平台的发电机智能监测诊断系统数据接入方法,通过Redis和HTTP接口,实现发电机参数的快速获取。The traditional online monitoring and auxiliary analysis systems for generators are often engineered as standalone solutions and typically acquire the real-time operational parameters of the generator through MODBUS serial communication.In recent years,with the concept of a smart power plant,an increasing number of power plants have started to use large data center platforms that cover all plant equipment to achieve real-time tracking and condition diagnosis of the entire plant's equipment.The article proposes a data access method for an intelligent monitoring and diagnostic system of generators based on a large data center platform,which enables to obtain the generator parameters rapidly through Redis and HTTP interfaces.
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