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1.8 Meters ultra wide dual brush system. Compared with the conventional 1.2-meter model, the cleaning coverage area is increased by 50%, and the daily cleaning capacity exceeds 2MW.

The front brush head and the rear spray scraper work together to achieve efficient stripping even in the face of heavy pollution scenarios such as bird droppings and dust deposits.

The equipment independently generates a zigzag cleaning path, and cooperates with the cruise control function to truly realize the unmanned operation of "put and run".

Four-dimensional anti-fall protection system realizes automatic braking and direction locking at the edge of travel.

ith 30 hours of ultra-long battery life and 100 meters of ultra-range control capability, equipped with low battery display function, ensure the reliability of long-term field operations

1.4-1.8M Double Brush Brushless Mote PV Panel Cleaning Robot 6

1.4-1.8M Double Brush Brushless Mote PV Panel Cleaning Robot

Next-Gen Solar Panel Cleaning Robot for Large Panel Farm

Meet the next-generation solar panel cleaning robot, engineered to address the challenges of dust and debris in large-scale photovoltaic (PV) plants. Designed specifically for extensive panel farms, it maximizes power generation efficiency and minimizes operational costs.

Its core advantage lies in the high-efficiency, 1.4 to 1.8-meter wide dual-brush system. Two large brush heads work in tandem to ensure comprehensive surface coverage in a single pass, significantly boosting cleaning speed and uniformity for vast solar arrays.

Powered by advanced brushless motors, the robot delivers stronger, more consistent torque for smooth operation across complex panel surfaces. This technology offers exceptional durability and lower maintenance requirements, with a lifespan far exceeding that of conventional motors.

This robot is the ideal solution for enhancing the return on investment of large-scale PV power stations

Model Number:

NBK-CR001B

Cleaning Width:

1.4/1.8m

Supply Ability:

1000SET/MONTH

Customization:

OEM&ODM Acceptable

Sample Order:

Acceptable

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Working Effiency

1500-3000(m²/h)

Working Angle

15-20degree

Working Time

4-5hours

Lithium Battery

48V/25Ah

Moving Speed

20/30/40(Max)

Cleaning Width

1.4/1.8m

Brush Material

Nylon

Extended Brush Head: Maximize Efficiency & Shorten Project Timelines

Brush head length: 1.4m–1.8m (vs. industry-standard 1.2m models)
Single cleaning coverage increased by 30%–50%, verified in real-world applications.
Cuts construction timelines for large-scale solar farms by 1/3, with a daily cleaning capacity exceeding 2MW.
Directly reduces labor costs by 60%—a critical cost-saving advantage for large projects.

Dual-Layer Fall Protection: Eliminate Safety Risks Technically

Equipped with 4 high-precision sensors (2 front, 2 rear): Detects blank edges of photovoltaic (PV) panels and triggers immediate automatic shutdown.
Synchronized safety alerts: Remote controller lights up warning indicators and locks reverse-driving access to prevent misoperation-related falls.
Complies with safety standards: Paired with safety rope fixes for 15°–20° high-risk angles, forming dual protection against equipment drops.

Brushless Motors & Reliable Battery System: Lower Maintenance, Longer Durability

Brushless motor design: Eliminates wear from traditional carbon brushes, boosts torque by 30%, and maintains performance even after 3,000 hours of continuous operation.
Maintenance costs reduced by 50%—a long-term operational benefit.
High-performance battery cells (sourced from listed manufacturers) + 5 protection systems (including IP65 waterproofing and motor overload protection) ensure stable operation in all environments.

Intelligent Path Planning: Minimal Intervention, Optimal Results

Fully automated Z-path system + 3 adjustable speed gears (max 40m/min for fast cleaning).
Smart adaptation: Auto-switches to 20m/min low speed for heavily polluted areas (e.g., bird droppings), achieving "efficient light-dust cleaning + precise stubborn-stain removal."
Real-time auto-correction: Fixes route deviations (from slipping or external drag) and reduces remote control needs by 80% compared to conventional models.

Application scenarios

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