Located in the core area of Guangzhou Nansha, Jiantao Plaza stands as a representative modern high-rise building in the region. Its magnificent glass curtain wall forms a distinctive part of the city's skyline. Recently, this landmark structure underwent a comprehensive cleaning process performed by the MYUAV dual-tethered high-altitude cleaning drone system, following a fully standardized operation procedure.

Unlike traditional drones or manual rope descent methods, the MYUAV dual-tether system utilizes two tethered lines to continuously supply power and clean water from the ground to the aerial drone. This design fundamentally overcomes the limitations of single-tether or battery-powered systems during prolonged, high-intensity operations. The uninterrupted power supply ensures the drone can achieve genuine all-day continuous flight, while the simultaneous direct supply of clean water completes a seamless and highly efficient high-altitude cleaning cycle.

In practical application, the MYUAV dual-tethered high-altitude cleaning drone demonstrated its robust performance advantages. The FC30X model can operate at heights of up to 160 meters and is equipped with a high-power tethered power system ranging from 1.5KW to 60KW. This provides strong, uninterrupted energy for both the drone and the cleaning system, ensuring extended endurance. Furthermore, the system integrates an ultra-high-pressure water pump capable of reaching up to 235 bar, coupled with an IP68-rated waterproof design that guarantees the stable operation of core components. These combined features enable the drone to handle the vast Facade wall area of Jiantao Plaza without the need for frequent take-offs and landings for recharging or refilling, achieving near-continuous, highly efficient, and precise cleaning operations.

This cleaning project at Guangzhou Nansha Jiantao Plaza once again validates the practicality and advanced nature of the dual-tethering technological approach in the field of high-altitude cleaning. It was not merely an equipment demonstration but a successful practice in workflow optimization.