Open AccessResearch on Multi-point Hopping Communication System in Power Network Based on Information Fusion Model
Author(s) -
Lifeng Yu,
Kaibo Hu,
Jiachen Lv,
Zhiling Xia
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2108/1/012048
Subject(s) - computer science , fuse (electrical) , telecommunications network , network packet , transmission (telecommunications) , artificial neural network , computer network , distributed computing , real time computing , artificial intelligence , telecommunications , engineering , electrical engineering
Multi-source heterogeneous information will cause access burden to the power network, resulting in poor performance of multi-point hop communication. Therefore, a multi-point hop communication system based on information fusion model is designed. The IEC61970/61968CIM is selected as the integrated bus general data acquisition scheme of the information fusion model. The local-global distributed information fusion mechanism is used to realize the communication of the power multi-point hop communication system. In this paper, the artificial neural network algorithm is used to fuse local information features, and according to D-S evidence theory, the global decision-level fusion is carried out from both the spatial domain and the time domain. Through the information fusion model, the multi-point hop communication information in the power network realizes efficient transmission. The experimental results show that the application of the system in the power network to implement multi-point hop communication, the packet loss rate is less than 0.25%, the transmission delay is less than 30ms, and the communication performance of the power network is improved