The AI Revolution in PV Plant O&M: From Reactive Repair to Predictive Maintenance

The integration of Artificial Intelligence (AI) and IoT is fundamentally transforming photovoltaic plant operation and maintenance. Traditional methods reliant on manual inspection and scheduled upkeep are increasingly inadequate for managing the global surge in utility-scale solar farms due to inefficiency and high costs. Next-generation intelligent O&M platforms, embedded with AI algorithms and sensor networks, enable full automation of power generation forecasting, fault diagnosis, cleaning scheduling, and structural health monitoring.

Taking Kaibang New Energy's "Intelligent Protection and O&M Cloud Platform" as an example, the system analyzes real-time data from globally deployed projects, providing up to 14-day early warnings for potential structural risks (e.g., bolt loosening, corrosion trends), thereby improving maintenance response efficiency by 40%. Industry experts assert that "AI + Structural Safety" will become the core competitive edge for next-generation PV mounting systems, driving down levelized cost of energy (LCOE) throughout the asset lifecycle.