JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v9i6.13181ArticleAn Intelligent Operation and Maintenance System for Photovoltaic Stationhttps://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.13181YiQing,SunJiayou,SuShanying,WeiHouzhi,WangKe,QiZhihui,TengSiyu2025962025-12-16The rapid expansion of photovoltaic (PV) deployment poses new challenges for large-scale and distributed maintenance, particularly in fishery-PV complementary plants where panels are deployed over water surfaces. This paper presents the design and implementation of an intelligent operation and maintenance (O & M) system that integrates a 3D holographic digital twin cloud platform with UAV-assisted inspection and localized cleaning. The proposed system supports multi-source data acquisition, including UAV imagery, infrared sensing, and DustIQ-based soiling monitoring, and provides real-time visualization of the PV plant through 1:1 3D reconstruction. UAVs are employed for both autonomous inspections, covering defects such as soiling, bird droppings, bypass diode faults, and panel disconnections and targeted cleaning in small water-covered areas. Field trials were conducted at Riyue and Chebu PV plants, with small-scale UAV cleaning validation in Chebu fish ponds. Results demonstrated that the system achieves efficient task scheduling, fault detection, and localized cleaning, thereby improving O & M efficiency, reducing costs, and enabling digitalized and intelligent management for large-scale PV stations.

Singh G, 2013, Solar Power Generation by PV (photovoltaic) Technology: A Review. Energy, 2013(53): 1–13.

Parida B, Iniyan S, Goic R, 2011, A Review of Solar Photovoltaic Technologies. Renewable and Sustainable Energy Reviews, 15(3): 1625–1636.

Hernandez-Callejo L, Gallardo-Saavedra S, Alonso-Gomez V, 2019, A Review of Photovoltaic Systems: Design, Operation and Maintenance. Solar Energy, 2019(188): 426–440.

Laghari A, Jumani A, Laghari R, et al., 2023, Unmanned Aerial Vehicles: A Review. Cognitive Robotics, 2023(3): 8–22.

Ahmed F, Mohanta J, Keshari A, Yadav P, 2022, Recent Advances in Unmanned Aerial Vehicles: A Review. Arabian Journal for Science and Engineering, 47(7): 7963–7984.

Zeng Y, Zhang R, Lim Y, 2016, Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges. IEEE Communications Magazine, 54(5): 36–42.

Zuo Z, Liu C, Han Q, et al., 2022, Unmanned Aerial Vehicles: Control Methods and Future Challenges. IEEE/CAA Journal of Automatica Sinica, 9(4): 601–614.

Ashokkumara K, Srimonchaari B, Mayan J, 2025, Designing and Constructing a Versatile UAV System for Cleaning Applications. AIP Conference Proceedings, 2025(3257): 20163.

Pires F, Cachada A, Barbosa J, et al., 2019, Digital Twin in Industry 4.0: Technologies, Applications and Challenges. 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019(1): 721–726.

Wang X, Yang J, Han J, 2022, Metaverses and Demetaverses: From Digital Twins in CPS to Parallel Intelligence in CPSS. IEEE Intelligent Systems, 37(4): 97–102.