Automated technique for high-pressure water-based window cleaning and accompanying parametric study

Area of Science:

• Engineering
• Robotics
• Material Science

Background:

• Building maintenance, especially for high-rises, involves hazardous exterior cleaning with frequent accidents.
• Current methods pose risks to workers, necessitating safer, automated solutions.
• Robotic systems are under development to mitigate these risks.

Purpose of the Study:

• To propose and optimize a novel high-pressure water spraying method for building exterior cleaning.
• To enhance safety and reduce the hazardous nature of facade maintenance tasks.
• To evaluate cleaning performance and forces involved in the proposed system.

Main Methods:

• Optimized cleaning parameters (water pressure, spray angle, distance) using the Taguchi method.
• Conducted cleaning experiments on artificially contaminated window specimens.
• Evaluated cleaning performance via an image-evaluation method and sensitivity analysis.
• Investigated reaction and impact forces on building surfaces.

Main Results:

• The Taguchi method successfully optimized water pressure, spray angle, and distance for effective cleaning.
• Image-evaluation and sensitivity analysis identified optimal cleaning conditions.
• Measured forces were insufficient to impact propeller thrust or damage building surfaces.
• The proposed method demonstrated effective cleaning performance on artificial contaminants.

Conclusions:

• The optimized high-pressure water spraying method offers a safer and potentially more efficient alternative for building exterior cleaning.
• The system's forces are within safe limits for building structures.
• Further field tests are planned to validate the method's real-world applicability.