Image-Based Static Evaluation of Spray Pressure and Distance for UAV Cleaning Performance Assessment

Image-Based Static Evaluation of Spray Pressure and Distance for UAV Cleaning Performance Assessment
  IJETT-book-cover           
  
© 2025 by IJETT Journal
Volume-73 Issue-10
Year of Publication : 2025
Author : Fathan Fadzulli, OMF Marwah, M Zulafif Rahim, SJM Mohd Salleh, Haris Hamizan Hamzah
DOI : 10.14445/22315381/IJETT-V73I10P122

How to Cite?
Fathan Fadzulli, OMF Marwah, M Zulafif Rahim, SJM Mohd Salleh, Haris Hamizan Hamzah,"Image-Based Static Evaluation of Spray Pressure and Distance for UAV Cleaning Performance Assessment", International Journal of Engineering Trends and Technology, vol. 73, no. 10, pp.278-288, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I10P122

Abstract
The Integration of Unmanned Aerial Vehicles (UAVs) for cleaning applications offers a safer and more efficient alternative to manual operations, particularly on high-rise building surfaces. This study aims to evaluate the spraying quality and cleaning performance of TiungLap, the UTHM-developed drone system, by examining parameters affecting both safety and effectiveness. The experimental work involved methods that include a spraying quality assessment using nozzle configurations at varying distances of 0.5m, 1m, and 1.5m to measure spray width, acting force, and droplet behavior, and an artificial dirt cleaning test to evaluate the cleaning efficiency based on coverage and residual dirt. Results show that 1m achieved the best balance between acting force and spray pattern uniformity, resulting in the highest cleaning efficiency, ranging from 36.95% to 65.96%, and a peak acting force of 3.92 N. This study contributes to optimizing drone-based cleaning operations by improving cleaning output while ensuring operational safety within effective spraying zones.

Keywords
UAV, Window Cleaning, Spraying Evaluation, Image Processing, Cleaning Efficiency, Acting Force, Nozzle Selection.

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