摘要
针对电网中高压开关发热监测不及时、测量难度大的问题,提出一种基于窄带物联网技术(NB-IoT)和输电线路感应取电技术,设计一种高压开关温度监测系统。系统通过输电线路感应取电方式为温度采集系统提供电源,采用低功耗微控制器STM32L151结合NB-IoT、云存储技术和LabVIEW虚拟仪器技术实现对高压开关工作温度的远程实时监测及其数据处理。实验测试结果表明,当有20 A电流流过输电线时,感应取电输出功率为0.257 W,而系统平均消耗功率为0.174 W,能满足长期稳定工作要求。系统温度监测误差平均值为0.32℃,温度数据能够在10 s内完成一次刷新,满足监测实时性要求。
As the high-voltage switch heat monitoring in the power grid is not timely and difficult,a high-voltage switch heat monitoring system based on narrow-band Internet of Things(NB-IoT) technology and power induction on power transmission line is designed. The system can provide power supply for the temperature acquisition system by means of the power induction on power transmission line. The low-power microcontroller STM32 L151 combines with NB-IoT, cloud storage technology and LabVIEW virtual instrument technology to realize the remote real-time monitoring of the working temperature of the high-voltage switch and its data processing. The experimental testing results show that when a current of 20 A flows through the transmission line,the output power of the power induction is 0.257 W,and the average power consumption of the system is0.174 W,which can meet the long-term stable working requirements. The average temperature error of the system temperature monitoring is 0.32 ℃,and the temperature data can be refreshed within 10 seconds,which meets the real-time requirements of monitoring.
作者
梁志勋
施运应
赵家祺
林芳
LIANG Zhixun;SHI Yunying;ZHAO Jiaqi;LIN Fang(School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China;School of Computer and Information Engineering,Hechi University,Hechi 546300,China;Guangxi Key Laboratory of Automatic Detecting Technology and Instruments,Guilin University of Electronic Technology,Guilin 541004,China)
出处
《现代电子技术》
北大核心
2020年第16期126-130,134,共6页
Modern Electronics Technique
基金
国家自然科学基金(61561012)
国家自然科学基金(61671164)
广西高校中青年教师基础能力提升项目(2019KY0622,2018KY0498)。
关键词
高压开关
温度监测
NB-IoT
感应取电
在线监测
系统测试
high voltage switch
temperature monitoring
NB⁃IoT
power induction
on⁃line monitoring
system testing