Abstract：In response to the challenges faced by third-party inspection agencies during on-site photovoltaic testing, such as device diversity, high data storage costs, low processing efficiency, and data synchronization issues, this paper proposes a standardized module detection system for photovoltaic power stations based on the internet of things and cloud platforms. The aim is to enhance inspection efficiency, reduce costs, and improve data interconnectivity. By deploying standardized detection modules that include various sensors and data collectors, and utilizing network protocols for time synchronization, all measurements are ensured to occur within the same reference framework. Concurrently, a data acquisition and management system built upon cloud computing technology is developed to achieve cloud-based data storage, sharing, and collaboration with excellent scalability. Research findings indicate that the proposed detection system can effectively address existing problems encountered during inspection processes. Furthermore, it significantly lowers equipment deployment expenses, saving considerable manpower and material resources. Suitable for third-party inspectors conducting on-site photovoltaic station assessments, it holds broad application prospects.
孙路, 丁振华, 丁宏, 董磊, 高武双. 基于物联网和云平台的光伏电站标准化模块检测系统设计[J]. 电气技术, 2025, 26(3): 75-80.
SUN Lu, DING Zhenhua, DING Hong, DONG Lei, GAO Wushuang. Design of a standardized modular detection system for photovoltaic power station based on internet of things and cloud platform. Electrical Engineering, 2025, 26(3): 75-80.
2025, Vol. 26 
