Open AccessResearch on Distributed PV Monitoring System Based on Ubiquitous Power IOT Architecture
Author(s) -
Dingmei Wang,
Qiang Zhou,
Yuze Du,
Hongbiao Dong
Publication year - 2022
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 - 10.1088/1742-6596/2166/1/012025
Subject(s) - computer science , cloud computing , distributed power , power management , automation , spark (programming language) , photovoltaic system , distributed computing , stream processing , embedded system , power (physics) , engineering , operating system , electrical engineering , mechanical engineering , physics , quantum mechanics , voltage , programming language
There are problems of low intelligent management and automatic maintenance of traditional distributed PV power plants. This paper designs a distributed PV monitoring system based on ubiquitous power IoT architecture. LoRa edge computing terminal, Storm data stream processing strategy and Spark in-memory programming model are introduced to meet the needs of distributed PV power plants for fast access and storage, analysis and mining of big data. This system improves the real-time and security of power plant data cloud-edge collaboration, and can efficiently perform status monitoring, maintenance management and data analysis of distributed PV power plants. It is of practical significance to improve the whole life cycle management of distributed photovoltaic power generation equipment and promote the transformation of operation and maintenance mode to automation, intelligence and intensification.