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文章摘要
基于HPLC的智能电能表通信模块状态监测技术研究
Research on condition monitoring technology of smart electricity meter communication module based on HPLC
Received:July 04, 2022  Revised:July 04, 2022
DOI:DOI: 10.19753/j.issn1001-1390.2022.10.027
中文关键词: HPLC  监测装置  SD卡存储  分布式  故障研判
英文关键词: HPLC, monitoring device, SD card storage, distributed, fault research and judgment
基金项目:国网陕西省电力有限公司科技项目(5226YX220003)
Author NameAffiliationE-mail
Heyunlong State Grid Shaanxi Electric Power Company Marketing Service Center 2216838872@qq.com 
songxiaolin State Grid Shaanxi Electric Power Company Marketing Service Center (Measurement Center) 1308231399@qq.com 
baiyufeng State Grid Shaanxi Electric Power Company Limited 1308231399@qq.com 
yangdonghua State Grid Shaanxi Electric Power Company Marketing Service Center (Measurement Center) 1308231399@qq.com 
denghongchang Beijing Zhongchen Micro Co., Ltd. 1308231399@qq.com 
zhuyangyang* Beijing Zhongchen Micro Co., Ltd. 2216838872@qq.com 
hexiaokui Beijing Zhongchen Micro Co., Ltd. 1308231399@qq.com 
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中文摘要:
      为了准确抓取低压混装台区高速电力线载波(HPLC)模块通信故障原因,提升数据采集成功率,设计了一种基于HPLC技术的智能电能表通信模块状态监测装置。该装置安装于HPLC通信模块和智能电能表或集中器之间,通过载波实时自动监听不同厂家的通信模块运行状态信息、通信报文信息和网络噪声信息等,并将携带全网络统一时标的信息实时写入所带的非易失存储器中,利用软件对存储日志进行自动化解析,按照流程来判别故障原因。将该装置应用于异常台区,精准定位了网络故障原因,提高了数据采集成功率,通过实验验证了其实用性。
英文摘要:
      To accurately grasp the cause of high-speed power line carrier (HPLC) module communication fault in low-voltage mixed loading station area, improve the success rate of data acquisition, a condition monitoring device of smart electricity meter communication module based on HPLC technology is designed. The device is installed between the HPLC communication module and the smart electricity meter or concentrator, which automatically monitors the operation status information, communication message information and network noise information of communication modules from different manufacturers in real time through the carrier wave, the information carrying the unified time scale of the whole network is written into the nonvolatile memory by the device in real time, the software automatically parses storage log and identifies the cause of fault through the process. The device is used in two abnormal stations to accurately locate the cause of network fault and improve the success rate of data acquisition, which verifies its practicability through experiments.
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