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文章摘要
集群型无线自组网通信技术在智能表计中的研究与应用
Research on application of cluster wireless networking method based on intelligent meter
Received:March 15, 2022  Revised:March 22, 2022
DOI:10.19753/j.issn1001-1390.2022.11.023
中文关键词: 集群型  无线组网  链路动态因子  负载均衡
英文关键词: cluster, wireless network, optimization factors, load balancing
基金项目:国网新疆电力有限公司科技项目(5230WJ210001)
Author NameAffiliationE-mail
SONG XINDE State Grid Wulumuqi Electric Power Supply Company 23117373@qq.com 
TIAN YONGMING State Grid Wulumuqi Electric Power Supply Company 23117373@qq.com 
LIU SHA State Grid Wulumuqi Electric Power Supply Company 23117373@qq.com 
ZHA NIANCHI* Wuhan Sanfran Electronics co.Ltd 23117373@qq.com 
CHEN SHUNFEI Wuhan Sanfran Electronics co.Ltd 78691406@qq.com 
YE PENG Wuhan Sanfran Electronics co.Ltd 365457681@qq.com 
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中文摘要:
      无线通信技术是能源互联网建设所涉及到的关键技术之一,然而现有的无线网络组网存在负载网络不均衡、稳定性差、维护难等难题,为此文中提出了一种集群型无线自优化动态组网方法,设计了网络质量、中继级别、网络容量三个链路动态因子,既可适用于市电供电的智能电表采集系统,也可适用于电池供电的表计采集系统,为解决电池供电系统的低功耗问题,进一步引入电池电量动态因子,解决了灵活组网、自动优化数据通信路径形成最佳集群等关键技术。同时,通过建立典型现场应用无线网络环境,有效的验证了各种链路动态因子对无线网络通信成功率和稳定性方面的影响,利用无线自优化链路动态因子后可自动获取最优网络路径以及负载均衡的效果。
英文摘要:
      Wireless communication technology is one of the key technologies for the construction of the energy internet, however, the existing wireless network has problems such as network imbalance, poor stability, and difficult maintenance. For these reasons, this paper proposes a cluster wireless self-optimizing dynamic networking method. This method designs three link dynamic factors: network quality, relay level and network capacity, which can be applied not only to the smart meter acquisition system powered by the mains, but also to the battery powered meter acquisition system. In order to solve the low power consumption problem of the battery powered system, the battery level dynamic factor is further introduced,and solves key technologies such as flexible networking and automatic optimization of data communication path to form the best cluster. At the same time, through the establishment of a typical field application wireless network environment, it has effectively verified the influence of various link dynamic factors on the success rate and stability of wireless network communication. After using these wireless self-optimizing link dynamic factors, the optimal network path and load balancing effect can be obtained automatically.
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