Open AccessDistributed communication power monitoring system based on big data technology
Author(s) -
Weiwei Liang,
Wanli Ma,
Lixia Zhang,
Lei Fan,
Meiru Huo
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 - 10.1088/1742-6596/2087/1/012080
Subject(s) - big data , computer science , power (physics) , distributed power , process (computing) , communications system , real time computing , software , reliability engineering , embedded system , engineering , telecommunications , operating system , physics , quantum mechanics
Communication system has high quality requirements for power supply. Realizing the effective monitoring of power supply system is an important measure to improve power quality. In order to better and effectively manage massive power information in complex environment and avoid communication power failure, a design method of distributed communication power monitoring system based on big data technology is proposed. The system operation performance is proposed, and the software function and operation process of the communication power monitoring system are simplified by using big data technology to improve the system monitoring accuracy. Finally, the experiment shows that the distributed communication power monitoring system based on big data technology has significantly higher response speed and relatively lower monitoring error in the actual application process.