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作 者:丁豪楠 邵桂荣[1] 武怡晶 韩海鹏 宋佳敏 DING Haonan;SHAO Guirong;WU Yijing;HAN Haipeng;SONG Jiamin(Yuncheng University,Yuncheng 044000,China)
机构地区:[1]运城学院,山西运城044000
出 处:《电工技术》2025年第2期63-65,共3页Electric Engineering
基 金:山西省高等学校大学生创新创业训练项目(编号20230953);山西省高等学校教学改革创新项目(编号J20220984);山西省线下一流建设课程(编号K2022461);运城学院自动控制原理精品资源共享课程。
摘 要:为提高光伏发电设备的稳定性,结合物联网技术,设计了一款基于扩频通信的光伏发电监测系统。该系统利用各类传感器实时监测光伏组件和周围环境的参数,经单片机处理后,通过LoRa组网,将数据传输至ESP8266,并连接局域网将数据上传至云服务器平台,最终将数据下发至App端。搭建实验平台对系统测试的结果表明:系统能实时准确地监测光伏发电过程中的工作参数,便于运维人员及时了解光伏发电状态,预防故障的发生。In order to improve the stability of photovoltaic power generation equipment,combined with the Internet of Things technology,this paper designs a photovoltaic power generation monitoring system based on spread spectrum communication.The system uses various sensors to monitor the parameters of photovoltaic modules and the surrounding environment in real time,and after processing by a single-chip microcomputer,the data is transmitted to the ESP8266 through the LoRa network,and the data is uploaded to the cloud server platform by connecting to the local area network,and finally the data is delivered to the App.An experimental platform was built to test the system,and the test results showed that the system could monitor the working parameters in the process of photovoltaic power generation in real time and accurately,which was convenient for operation and maintenance personnel to understand the status of photovoltaic power generation in time and prevent failures.
分 类 号:TM615[电气工程—电力系统及自动化]
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