The intelligent operation and maintenance system for photovoltaic power stations has been designed to enhance the intelligent, scientific, and efficient management of solar energy facilities. This system incorporates various functionalities, leveraging technologies such as the Internet of Things (IoT), big data, and artificial intelligence (AI) to achieve comprehensive and intelligent management throughout the operational process. By upgrading the entire operation and maintenance management workflow, the system significantly improves efficiency, reduces costs, and enhances safety.
As a sophisticated maintenance tool, the intelligent operation and maintenance system deploys different functional modules to facilitate the effective utilization of clean energy at photovoltaic power stations. The system monitors environmental parameters and equipment performance by installing hardware devices such as temperature and humidity sensors, irradiance meters, current and voltage monitoring modules, and infrared thermal imaging cameras. This setup allows for the data collection and monitoring of critical equipment within the power station.
Moreover, the system employs AI algorithms to automatically detect anomalies such as component failures, shading, and inverter malfunctions, thereby enabling fault warning, diagnosis, and predictive maintenance. Additionally, the integration of drone inspection technology, equipped with high-definition cameras and infrared devices, facilitates smart inspections of photovoltaic power stations, optimizing their operational performance.
The system also provides effective assistance for energy scheduling and decision-making at the power stations. Through multi-station collaboration and data visualization, it supports operation and maintenance management decisions based on indicators such as power generation and equipment health.
This intelligent operation and maintenance system is adaptable to various typical application scenarios. For instance, in large ground-mounted power stations with widely distributed components and low efficiency in manual inspections, the combination of drone inspections and AI diagnostics can effectively cover complex terrains like deserts and mountainous areas, thus reducing maintenance costs. In the case of distributed power stations, such as residential solar systems, which are dispersed and challenging to manage, the system enables remote monitoring and mobile management, allowing real-time access to data from multiple sites and significantly shortening fault response times.
This article was written by the editorial team at Shaanxi Public Intelligent Technology Co., Ltd.
