基于物联网的光伏发电系统故障诊断设计
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  • 英文篇名:Design of diagnosis system for PV power generation based on wireless network
  • 作者:吴建明 ; 杨培宏 ; 张继红
  • 英文作者:Wu Jianming;Yang Peihong;Zhang Jihong;Monitoring Audit Office, Inner Mongolia University of Science and Technology;School of Information Enginerring, Inner Mongolia University of Science and Technology;
  • 关键词:物联网 ; 光伏 ; 远程采集 ; 传感矩阵 ; 量化融合
  • 英文关键词:internet of things;;PV power generation;;remote acquisition;;sensing matrix;;quantitative fusion
  • 中文刊名:NCNY
  • 英文刊名:Renewable Energy Resources
  • 机构:内蒙古科技大学监察审计处;内蒙古科技大学信息工程学院;
  • 出版日期:2019-01-14
  • 出版单位:可再生能源
  • 年:2019
  • 期:v.37;No.245
  • 基金:内蒙古自治区自然科学基金项目(2016MS0515);; 内蒙古教育厅科技计划项目(NJZY14170)
  • 语种:中文;
  • 页:NCNY201901011
  • 页数:6
  • CN:01
  • ISSN:21-1469/TK
  • 分类号:69-74
摘要
传统的光伏发电远程监测系统以单点数据采集为主,在融合过程中系统没有对单点数据进行区分,导致数据采集效率低,均衡性差。文章基于物联网技术,设计光伏远程数据监测传感器分布式矩阵,对传感器的原始数据进行区分量化融合处理,结合VXI局部总线技术和SCSI总线控制器对数据采集输出信道加以均衡控制。测试结果表明,文章设计的光伏远程监测数据采集系统,能实时准确地采集多通道数据,数据输出带宽较高,输出信道的均衡性较好,提高了光伏远程故障诊断数据的准确检测和分析能力。
        PV power remote monitoring data is mainly collected by single point. In order to ensure efficiency, there is no distinction between single point data fusion process. Only by taking the idle state of monitoring channel as the standard, the data acquisition efficiency is low and the balance is poor. The design method of the remote monitoring data acquisition system for PV power generation based on the Internet of things is proposed. The technology of Internet of things is applied to design remote distributed data monitoring sensor for PV power generation, and distributed array is used to quantify and fuse raw data collected by sensors, and distinguish data types. The interface design of data acquisition channel is designed combined with VXI local bus technology. The SCSI bus controller is used to collect data and output channel equalization, and design the hardware of data acquisition instrument. The test results show that the PV power remote monitoring data acquisition using the system can accurately capture real-time multi-channel data to the monitoring data, the bandwidth of the output is high, the balance of acquisition of output channels is better, improve the accuracy of detection and analysis of PV power remote monitoring data.
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