The body weight is lighter and the wind resistance is lower, which is 20% lighter than the industry average. It reduces component warping and ensures component safety. It adopts the LoraWAN protocol, enables full station roaming, and the communication is not affected by location. The robot responds in seconds and the control is faster and more stable.

Multi-sensor fusion positioning technology, autonomous unmanned cleaning, centimeter-level high-precision positioning, optimal path planning, intelligent generation of navigation maps, IP65 level dustproof and waterproof, design lifespan up to 8 years, the machine is more stable and reliable

Multi-sensor fusion, creating a 3D map of the power station, intelligent path planning, 7×24h autonomous operation, intelligent SCADA + cloud platform SmartPure, remote monitoring of multiple machines working collaboratively, meteorological linkage and AI decision-making, continuous operation for over 8 hours + wireless fast charging, single machine daily coverage of 8-14MW

The component installation efficiency can reach 600 to 1000 pieces per day, which is 4 to 5 times that of manual installation. By integrating machine vision and deep learning algorithms, and relying on high-precision robotic arms, the positioning accuracy of the components can reach ±5mm, achieving immediate placement and fixation.

The fully automatic cleaning and transportation robot performs cross-row operations, significantly increasing the utilization rate of the robot and saving costs. It supports remote management via cloud WEB/APP, intelligent decision-making and planning, and efficient collaboration with the robot. The 24V high-performance self-powered system does not require power supply from an electricity station.

The aircraft body is lighter and has lower wind resistance, being 20% lighter than the industry average. It reduces component warping and ensures component safety. It adopts the LoraWAN protocol, enabling full station roaming. Communication is not affected by location, and the robot responds in seconds.