Global Solar Cleaning Market Heats Up: Intelligent Robot O&M Becomes Efficiency Booster

Recently, multiple large scale fishery solar complementary and ground mounted PV plants have successfully deployed intelligent cleaning robots. Such sites often suffer from bird droppings and dust accumulation, with power generation dropping by more than 20% during seasonal transitions. Traditional manual cleaning requires dozens of workers operating continuously for nearly two weeks, entailing high costs and safety risks. In contrast, intelligent cleaning robots can complete the same area in significantly less time, use no chemical agents, and drastically reduce water consumption. Equipped with high definition vision modules, these robots can simultaneously detect hot spots, micro cracks, and other anomalies during cleaning, achieving an integrated "cleaning as inspection" approach. For complex mountainous terrain, next generation robots feature improved climbing capability and path planning algorithms; a single unit can clean several thousand square meters per day, and field applications have shown a more than 10% improvement in power generation efficiency. Adaptive cleaning decision systems based on operational data are also under validation, which will enable automatic scheduling according to soiling rates, weather forecasts, and electricity prices, further reducing O&M costs.

International markets are equally active. AI based soiling analysis platforms model operational data to quantify dust related losses into financial metrics, helping operators determine the optimal cleaning timing. Novel anti soiling film technologies are also under development, using electrostatic principles to reduce dust adherence. In water scarce regions, physical high efficiency dust removal methods can cut water usage to one sixth to one tenth of conventional high pressure washing, achieving nearly 100% particle removal efficiency; if deployed globally, this could save over 10 billion gallons of cleaning water annually. Moreover, fully automatic track based and portable robots have been put into use in multiple countries, with cleaning speeds reaching several thousand square meters per hour, effectively reducing labor dependence.

Industry reports indicate that intelligent robot cleaning combined with AI driven O&M can lower total plant O&M costs by more than 40% and boost power generation by 6%–15%. Autonomous mobility, water saving processes, and cloud based dispatching are redefining O&M standards. The competitiveness of future PV plants will depend not only on module efficiency but also on intelligent O&M capabilities.

Multifit stays closely aligned with industry trends and focuses on the application and service of intelligent cleaning robot technology, providing professional and intelligent O&M solutions for various photovoltaic power stations. The company continues to invest in path optimization, adaptive cleaning strategies, remote monitoring, and other key areas. With the goal of maximizing clients' power generation revenue, Multifit reduces the levelized cost of electricity through scientific maintenance practices, contributing to the high quality development of green energy.