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作 者:张勇 高岳达 赵哲 刘杨 ZHANG Yong;GAO Yueda;ZHAO Zhe;LIU Yang(Electric Energy Measurement Branch of Inner Mongolia Power(Group)Co.,Ltd,Huhhot 010020,China)
机构地区:[1]内蒙古电力(集团)有限责任公司电能计量分公司,内蒙古呼和浩特010020
出 处:《工业计量》2024年第6期54-59,共6页Industrial Metrology
摘 要:为了提高电能计量装置远程监测能力,提出一种电能计量装置远程在线监测方法。该方法基于计量装置数据采集模块进行设计优化,以IEEE.802.15.5协议为数据传感器的帧结构基础,是一种主动传输读取的技术,很大程度上提高了监测的精确度并且提高了监测的效率。在算法方面,基于点形式云校准算法使得系统可以起到一个自主校正电能计量装置的作用,基于已有的故障数据库为标准,做到了在出现装置问题时可以以最快的速度进行解决,恢复设备的正常运行。通过仿真实验可以得出硬件的监测精准度高达96.5%。In view of the problems existing in the traditional remote online monitoring method of electric energy metering device,such as low monitoring accuracy,difficult to calculate a large amount of data,only small volume data,weak hardware operation stability and slow collection speed of standard information of algorithm library,this research optimizes the design based on the data acquisition card of metering device in terms of hardware,in which IEEE 802.15.5 protocol is based on the frame structure of data sensor.It is an active transmission and reading technology,which improves the accuracy and efficiency of monitoring to a great extent.In terms of algorithm,this research is based on the point form cloud calibration algorithm,so that the system can play the role of an independent correction of electric energy metering device.In terms of algorithm,the cloud calibration algorithm based on point form enables the system to play a role of self-correcting the power metering device.Based on the existing fault database as the standard,it can solve the device problem at the fastest speed and restore the normal operation of the device.Through the simulation experiment,it can be concluded that the hardware monitoring accuracy is as high as 96.5%.
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