The small size, light weight and multi sensors L22A solar panel cleaning robot can clean many types of solar panel types, its high grip track design is suitable for complex terrain such as sandy, muddy, sloping and rugged panels. L22A body is made of aluminum alloy and high-strength composite material that makes it lightweight, balancing, durable and mobile.
Utilizing a 1-meter roller brush, the system covers more than 95% of solar panel cleaning, leading to power generation efficiency by 10-30% (depending on contamination levels). The four water nozzles, spray water evenly, improving the cleaning efficiency and water-saving. L22A can maneuver gap ≤ 60mm between the panels, can be used for solar panel arrays with inclination angles up to 15° , recommended Wet cleaning up to 10° and dry 12°.
Designed specifically for photovoltaic fields to avoid interference with electrical equipment in the power plants. Critical components such as brushes and batteries can be quickly replaced. Good for centralized, distributed, large scale ground and rooftop stations.
L22A Anti-Fall design with laser sensors, is intelligently detecting panel edges to prevent falls. Before starting, the self-check function verifies laser sensor operation to ensure reliability, operator must also keep the sensor are clean. The L22A obstacle climbing ability enables handling complex terrains and easily crossing gaps of over 60mm, allowing the robot to move smoothly from panel to panel. L22A is equipped with advanced edge perception technology, L22A can monitor surface environment in real-time and identify hazardous areas close to the edge. When the robot approaches the edge of the photovoltaic panel, the system will automatically activate the avoidance mechanism to prevent the robot from slipping or colliding.
The remote control, range is 400 meter, allowing operators to perform cleaning tasks from a safe location. The remote control is equipped with an "Automatic Mode" button, by pressing it, the robot will enter the full-automatic working mode. The Path Planning Algorithm ensures that every inch of photovoltaic panels is cleaned, (customization required).
Automatic Posture Correction, Equipped with an image recognition system, L22A can monitor the robot's posture on solar panel surface in real-time, automatically adjust direction, and prevent deviation or jamming during the cleaning process. This mechanism ensures that the robot can maintain the correct working posture even on complex terrain or uneven surfaces, thereby improving cleaning accuracy and efficiency.
For optimal performance, cleaning of solar panels is crucial. Regular cleaning of solar panels improves energy generation efficiency by up to 30%. Dirt and contaminants on solar panels can cause scratches or permanent damage over time. Our gentle yet effective cleaning process preserves the integrity of panels and extends their lifespan.
Our dry cleaning and or washing robot offer cutting-edge solar panel cleaning for commercial solar farms and residential rooftop systems. We utilize robotic cleaning technology to efficiently clean panels without the need for water or harsh chemicals, significantly reducing water consumption and preventing panel damage.
Our robots are equipped with customizable brushes and sensors that adapt to various cleaning needs of dust, bird droppings, or heavy pollutants. With high-quality materials and advanced engineering, our robot offer long-lasting durability and low maintenance costs, which increases the profitability of solar projects. The robot can use
Liwal Intelligent Inspection Platform to detect defects such as cracks and damages in the solar panel along with other debris.
Our eco-friendly, automatic, remote controlled and monitored solar cleaning robots save on labor costs and significantly reduce the time spent on cleaning, it ensure that panels are always free of debris and dirt, optimizing energy production.
Disclaimers
- The images shown are for illustration purposes only and may not be an exact representation of the robot.
- Features are subject to order and may vary based on project and/or variant of robot.
