Public reports highlight the scale of the problem: at an industrial rooftop PV site in Hubei, surface dust alone can erode 5%–12% of annual generation, while rooftop temperatures exceed 50°C. Traditional manual washing carries fall risks and delivers inconsistent results. After switching to an “aerial spray drone + ground cleaning robot” coordinated approach, crews cleaned over 10,000 m² in 8 hours — cutting water use by 40%+ and completing in 1 hour what took manual workers 5 hours. At two major transportation hub solar sites in Chongqing, smart cleaning equipment reduced O&M costs by over 40% and boosted annual generation by 5%–30% compared to manual washing. In Zhejiang’s floating fish-solar hybrid plant, pure-electric, AI-vision-guided cleaning robots now autonomously identify obstacles and soiling levels, partially replacing traditional manual inspection and washing.
Distributed PV (rooftops, carports, wastewater plants, fish-solar hybrids, transit hubs) once relied on “part-time electricians with hoses and long-handled brushes.” Now it is being forced toward “autonomous mobility + visual soiling detection + dry/wet dual-mode + data traceability.”
The drivers are hard-edged: too much installed capacity, too much price pressure, labor costs too high, and rooftops too dangerous. Cleaning is no longer a rough chore — it is a systemic action protecting light transmittance, safety, and per-kWh returns across a plant’s 25-year lifecycle.
Multifit: 17-Year Source Manufacturer Building “Scenario-Based O&M Nodes,” Not Just “Single-Purpose Brushes”
In this wave of scenario-driven smart O&M, Beijing Multifit Electrical Technology Co., Ltd. — established 2009, National High-Tech Enterprise, Guangdong Provincial SRDI SME, Shantou Gazelle Enterprise, 60+ patents, CE/FCC/ISO certified, products in 100+ countries across Europe, Americas, Middle East, and Asia-Pacific — focuses its product logic on whether complex scenarios can actually be executed:
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✔ MR-G3 Hanging-Type Waterless Robot:
Self-powered, dry-brush cleaning, dust removal rate ≥99%. No water required, zero panel damage, zero downtime. Engineered specifically for rooftops, desert/Gobi regions, and water-restricted markets like the Middle East and Australia where pressure washers are prohibited.
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✔ MR-T1 AI Path-Following Robot:
Cloud-based swarm scheduling, 50mm obstacle crossing, automatic posture correction. Adapts to real-world C&I rooftop conditions — irregular row spacing, varying module elevations, and non-standard layouts.
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✔ MULR Series Soft-Bristle Dual-Mode Brushes (Shore A 80–90):
Won’t scratch AR coatings. Covers the “last-mile” gaps — carports, BIPV, flexible supports at wastewater plants, and tight corners in fish-solar hybrids — where automated machines can’t reach and manual labor is too risky.
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✔ Flexible-Scenario Capability:
Breakpoint resume, intelligent deviation correction, and auto-recharge — aligned with the latest flexible-mount cleaning logic, but fully self-developed on Multifit’s 17-year electrical engineering foundation, with zero reliance on third-party robot suppliers.
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✔ Cloud Platform Traceability:
Every cleaning session — timestamp, zone, dust removal rate, pre/post-generation curves — is recorded and auditable. Plant owners gain verifiable “cleaning → generation boost → compliance record” evidence, ready for the digital auditing requirements coming to distributed solar.
While others market “how fast my machine sweeps,” Multifit asks: “For your rooftop, transit hub, or fish-solar site — who actually does the cleaning, how are panels protected, did generation recover afterward, and can the data be accounted for?” — This is the real procurement language of distributed PV O&M in 2026.
Industry Insight:
From the second half of 2026, distributed PV competition shifts from “who has cheaper modules” down to “who makes O&M headache-free.” Rooftops restrict human access, transit hubs can’t afford shutdowns, water-scarce regions ban washing, and owners demand generation curves. Waterless, lightweight, fleet-scalable, and auditable will be the four hard criteria of distributed O&M. Whoever fits robots into these constraints captures the next wave of retrofit dividends.
Post time: Sep-14-2026