Solar Panel Cleaning Robot

Core Cleaning Performance

• Dual Cleaning Modes: Supports dry sweeping and water washing (water washing requires an external water source), meeting different cleaning needs of solar power plants in various environmental conditions; equipped with front and rear dual 1.3m rolling brushes with water path nozzles, the rolling brush design ensures full contact with panel surfaces and thorough cleaning without dead corners.
• High Cleaning Efficiency: With a traveling speed of 0.34m/s, the robot achieves a maximum cleaning efficiency of 1500 m²/h (matching the standard 1.3m rolling brush), greatly reducing manual cleaning labor costs and time consumption.
• Strong Adaptability to Panels: It can adapt to a maximum photovoltaic module inclination angle of 15° for both dry and wet washing. For horizontal panel gaps, it automatically passes through when the gap ≤25mm; triggers anti-fall braking when the gap >25mm; and can pass through gaps of 25~200mm in forced mode. It also supports passing through vertical module height differences of ≤25mm, adapting to most solar panel layout scenarios of power plants.

Intelligent Control & Navigation

• Multi-way Operation Modes: Realize flexible control via remote controller (maximum control distance of 150m), mobile APP, and Web SaaS platform; the one-click automatic operation mode simplifies the operation process, and no professional technical training is required for operators.
• Advanced Navigation System: Adopts Tianjing V-Slam visual fusion navigation algorithm, with precise visual positioning and intelligent path planning, ensuring the robot cleans along the preset route without deviation, and effectively avoiding missing cleaning and repeated cleaning.
• Rich Functional Settings: Support customized adjustment of core working parameters such as array rows, walking speed, and dual brush group work mode; with a breakpoint resume function, the robot can continue cleaning from the interrupted position after restart, improving the completeness of cleaning work.

Product Configuration & Performance Parameters

• Compact & Lightweight Design: Host size (excluding rolling brush) is 574452202mm, net weight is 16.8kg (excluding battery), the ultra-light body design is easy for on-site carrying and deployment, and convenient for multi-area transfer cleaning in power plants.
• Long Endurance & Fast Charging: Powered by a 24V 25.6AH ternary lithium battery, it has a continuous working endurance of 6-7 hours; equipped with a battery replacement adapter charging mode, it only takes about 2.5 hours to fully charge, meeting the long-time continuous cleaning needs of large-scale solar power plants.
• Durable & Reliable Quality: The whole machine reaches IP65 dust and water protection grade, effectively resisting harsh outdoor environments such as dust, rain, and high temperature; the rolling brush component has an effective cleaning length of 1.3m and a structural length of 1.38m, with strong wear resistance and long service life.
• Powerful Software & Cloud Support: Pre-installed with Tianjing OS intelligent software system, matching the Tianjing Cloud IoT system for remote management; supports remote online upgrade of the system, real-time monitoring of the robot’s working status, and data statistics of cleaning volume, which is convenient for the unified management of the power plant’s cleaning work.

Safety & Additional Advantages

• Comprehensive Safety Protection: Built-in anti-fall and cliff detection functions, the robot automatically brakes when detecting edge or drop risks, avoiding equipment falling damage and ensuring safe operation on high-altitude photovoltaic brackets.
• Automatic Bridge Crossing: Supports automatic passing through the bridge frame of photovoltaic arrays, with no need for manual intervention, and realizes seamless cleaning of the entire array.
• Long Design Life: The product has a designed service life of 8 years, with a warranty of 1 year or a cumulative working distance of 1500km (whichever comes first), ensuring long-term stable use and low later maintenance costs for customers.

Application Scenarios