Next-Generation Exterior Painting: A Prototype Model for High-Rise Buildings with ESP32 Wireless Control
Abstract - 160
PDF

Keywords

Spray gun
Hoister motor
Pressure pump
Automated painting
ESP32 wireless control
PMDC square geared motor
Computer controlled painting

How to Cite

1.
Mohanasundaram A, Shakeel M. Next-Generation Exterior Painting: A Prototype Model for High-Rise Buildings with ESP32 Wireless Control. Int. J. Archit. Eng. Technol. [Internet]. 2023 Dec. 22 [cited 2024 Dec. 19];10:60-75. Available from: https://avantipublishers.com/index.php/ijaet/article/view/1441

Abstract

This paper addresses the need for innovative solutions in exterior painting processes for high-rise buildings. The intention is to develop a prototype model that not only automates the painting procedure but also enhances efficiency, safety, and the overall quality of the process. The methodology involves the integration of ESP32 wireless control technology, allowing for automation through either Wi-Fi or cloud control. The key components of the model include a 240V, 1hp single-phase hoisted motor for vertical movement along the building façade and a 12V PMDC square geared motor for the operation of painting arms that apply paint to the wall. A contactless painting approach is adopted using a sprayer instead of traditional brushes or rollers. The results of the model's painting operations demonstrate significant reductions in time and costs compared to traditional methods, along with improvements in safety and overall painting quality. Notably, the model is designed to adapt to diverse climate conditions and accommodate various building sizes and shapes. This proposed automated exterior painting model holds immense potential for revolutionizing conventional practices, providing a safer, more efficient, and cost-effective solution for a wide range of building structures.

https://doi.org/10.15377/2409-9821.2023.10.5
PDF

References

Yahya A, Abdulla R, Bahrin S. Traditional painting methods. J Appl Technol Innov. 2020; 4: 1-8.

Megalingam RK, Prithvi Darla V, Kumar Nimmala CS. Autonomous wall painting robot. 2020 Int Conf Emerg Technol INCET 2020, IEEE; 2020, p. 1–6. https://doi.org/10.1109/INCET49848.2020.9154020

Mishra AK, Aithal PS. Operational risk analysis of common activities of building construction project. Turk J Comput Math Educ. 2021; 12: 6507-24.

Balkis A, Janani S, Gandhi AGM. A study on critical risk assessment and safety management for a high rise building. Int Res J Eng Technol. 2021; 8(4): 324–31.

Shakir I, Jasmin MA, Weli SS. High rise buildings: Design, analysis, and safety. Int J Archit Eng Technol. 2021; 8: 1-13. https://doi.org/10.15377/2409-9821.2021.08.1

Szolomicki J, Golasz-Szolomicka H. Technological advances and trends in modern high-rise buildings. Buildings. 2019; 9(9): 193. https://doi.org/10.3390/buildings9090193

Govindbhai P, Ishawarbhai D. Safety measurement of high-rise building. Indian J Res. 2013; 3: 122-4.

Manzoor B, Othman I, Waheed A. Accidental safety factors and prevention techniques for high-rise building projects – A review. Ain Shams Eng J. 2022; 13: 101723. https://doi.org/10.1016/j.asej.2022.101723

Ni P. Construction safety management report for high-rise buildings. Balt J Real Estate Econ Constr Manag. 2022; 10: 16-25. https://doi.org/10.2478/bjreecm-2022-0002

Jayaraj A, Divakar HN. Robotics in construction industry. IOP Conf Ser Mater Sci Eng. 2018; 376: 012114. https://doi.org/10.1088/1757-899X/376/1/012114

Kai Chen, Hwang H, Faizal M, Choon T, Mohd A. Accidents preventive practice for high-rise construction. MATEC Web of Conferences 2016; 04: 3-8. https://doi.org/10.1051/matecconf/20164704004

Athauda RS, Asmone AS, Conejos S. Climate change impacts on facade building materials: A qualitative study. Sustainability. 2023; 15: 1-23. https://doi.org/10.3390/su15107893

Navigant C. Trends in construction technology – the potential impact on project management and construction claims: A research perspective, Navigant Construction Forum™, Navigant Consulting, Inc. 2016.

US Bureau of Labor Statistics. Fatal and nonfatal falls, slips, and trips in the construction industry: The Economics Daily: U.S. Bureau of Labor Statistics. Econ Dly [Internet] 2021. Available from: https://www.bls.gov/opub/ted/2021/fatal-and-nonfatal-falls-slips-and-trips-in-the-construction-industry.htm (accessed on June 12, 2023).

Kausar Z. Design and development of a paint spraying robotic mechanism. Asia Pacific International Conference on Emerging Engineering (APICEE), 09-10 November 2019, [Preprint].

Krishna BS, Chandrashekar M, Kumar BVS, Kumar VP. Fabrication of automatic wall painting machine. Int J Eng Res Technol. 2019; 7: 924-31.

Madhira K, Mehta S, Bollineni R, Kavathia D. AGWallP — Automatic guided wall painting system. 2017 Nirma University International Conference on Engineering (NUiCONE), Ahmedabad, India: 2017, pp. 1-5.

Muneer A, Dairabayev Z. Design and implementation of automatic painting mobile robot. IAES Int J Robot Autom. 2021;10: 68-74. https://doi.org/10.11591/ijra.v10i1.pp68-74

Sorour M. RoboPainter — A detailed robot design for interior wall painting. 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO), Lyon, France: 2015, pp. 1-6. https://doi.org/10.1109/ARSO.2015.7428214

Akafuah N, Poozesh S, Salaimeh A, Patrick G, Lawler K, Saito K. Evolution of the automotive body coating process-A review. Coatings. 2016; 6: 24. https://doi.org/10.3390/coatings6020024

Naticchia B, Giretti A, Carbonari A. Set up of a robotized system for interior wall painting. 2006 Proceedings of the 23rd ISARC, Tokyo, Japan: 2016, p. 194–9. https://doi.org/10.22260/ISARC2006/0038

Aris I, Parvez Iqbal AKM, Ramli AR, Shamsuddin S. Design and development of a programmable painting robot for houses and buildings. J Teknol. 2005; 42(A): 27-48. https://doi.org/10.11113/jt.v42.731

Yang Y, Xu W, Gao Z, Yu Z, Zhang Y. Research progress of SHM system for super high-rise buildings based on wireless sensor network and cloud platform. Remote Sens (Basel). 2023; 15: 1473. https://doi.org/10.3390/rs15061473

Velasco-Hemandez G, Mirani AA, Awasthi A, Walsh J. IoT-based system for monitoring conditions in an industrial painting booth. 2022 33rd Irish Signals and Systems Conference (ISSC), Cork, Ireland, 2022, pp. 1-6. https://doi.org/10.1109/ISSC55427.2022.9826206

Jiang S, Jang W-S, Skibniewski MJ. Selection of wireless technology for tracking construction materials using a fuzzy decision model. J Civ Eng Manag. 2012; 18: 43-59. https://doi.org/10.3846/13923730.2011.652157

Konikov A. Promising wireless applications in the construction industry. E3S Web Conf. 2020; 164: 1-7. https://doi.org/10.1051/e3sconf/202016410043

Paralikar AC, Mutha SS, Shah SA, Vaidya S. A research paper on spray-painting robot for painting irregular workpieces. Int Res J Eng Technol. 2008; 6(6): 365.

Gülzow JM, Paetzold P, Deussen O. Recent developments regarding painting robots for research in automatic painting, artificial creativity, and machine learning. Appl Sci. 2020; 10: 1-22. https://doi.org/10.3390/app10103396

Maskuriy R, Selamat A, Maresova P, Krejcar O, David O. Industry 4.0 for the construction industry: Review of management perspective. Economies. 2019; 7: 68. https://doi.org/10.3390/economies7030068

Sorour MT, Abdellatif MA, Ramadan AA, Abo-Ismail AA. Development of roller-based interior wall painting robot. World Acad Sci Eng Technol. 2011; 59: 2309-16.

Hercog D, Lerher T, Truntič M, Težak O. Design and implementation of ESP32-based IoT devices. Sensors. 2023; 23(15): 6739. https://doi.org/10.3390/s23156739

Mccoy AP, Yeganeh A. An overview of emerging construction technologies. NAIOP Research Foundation; March 2021, pp. 1–45.

Vaghela AN, Gajjar BD, Patel SJ, Anusha S, Madhavi M, Hemalatha R, et al. Home automation using ATmega328 microcontroller and android application. Int Res J Eng Technol. 2017; 5: 865-68.

Domdouzis K. Applications of wireless sensor technologies in construction. Thesis. Loughborough University; 2007. Available from https://dspace.lboro.ac.uk/2134/7868 (accessed on December 12, 2023).

Anjali S. Research paper for smart home automation system using ESP32 with blynk, IR remote & manual control relay, IoT project. Int J Innov Res Electr Electron Instrum Control Eng. 2021; 9: 368-72. 10.17148/IJIREEICE.2021.9565

Krishna BM, Nayak VN, Kishore Reddy KR, Rakesh B, Manoj Kumar P, Sandhya N. Bluetooth based wireless home automation system using FPGA. J Theor Appl Inf Technol. 2015; 77: 411–20.

Gupte S. Experimental analysis and feasibility study of 1400 CC diesel engine car converted into hybrid electric vehicle by using BLDC Hub Motors. Energy Procedia. 2014; 54: 177-84. https://doi.org/10.1016/j.egypro.2014.07.261

Lin X, Xinbo R, Chengxiong M, Buhan Z, Yi L. An improved optimal sizing method for wind-solar-battery hybrid power system. IEEE Trans Sustain Energy. 2013; 4: 774-85. https://doi.org/10.1109/TSTE.2012.2228509

Priyadharshini B, Ganapathy V, Sudhakara P. An optimal model to meet the hourly peak demands of a specific region with solar, wind, and grid supplies. IEEE Access. 2020; 8: 13179-94. https://doi.org/10.1109/ACCESS.2020.2966021

Wang Y-A, Xie X-P, Lu X-H. Design of a double-nozzle air spray gun and numerical research in the interference spray flow field. Coatings. 2020; 10: 1-14. https://doi.org/10.3390/coatings10050475

Anthony M, Prasad V, Raju K, Alsharif MH, Geem ZW, Hong J. Design of rotor blades for vertical axis wind turbine with wind flow modifier for low wind profile areas. Sustainability. 2020; 12: 1-24. https://doi.org/10.3390/su12198050

Ezenwobodo, Samuel S. An Assessment on the use of Mathematical Softwares in Teaching and Learning of Mathematics in Colleges of Education in South-Eastern Nigeria: A Case Study of Anambra and Enugu. Int J Res Publ Rev. 2022; 04: 1806-12. https://doi.org/10.55248/gengpi.2023.4149

Madhushani A, Ashly I. Design and implementation of an IoT command remote control vehicle for enhanced control and monitoring. 1st Business and ICT International Research Conference 2023.

Abbas A. DC motor speed control through arduino and L298N motor driver using PID controller condition assessment and analysis of all bearing of doubly fed wind turbines using machine learning techniques view project. Int J Electr Eng Emerg Technol. 2021; 4: 21-4.

Panth S, Jivani M. Home automation system (HAS) using android for mobile phone. Int J Electron Comput Sci Eng. 2011; 04: 4844-9.

Dey S, Kundu T, Mukherjee S, Sakar M. Web based real-time home automation. Int J Electr Electron Eng Telecommun. 2015; 4: 2-9.

Chai C, de Brito J, Gaspar PL, Silva A. Predicting the service life of exterior wall painting: techno-economic analysis of alternative maintenance strategies. J Constr Eng Manag. 2014; 140. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000812

Cost of manual labour vs. automation. RNA Autom; 2010. Available from: https://www.rnaautomation.com/insight/cost-of-manual-labour-vs-automation-infographic/ (accessed on December 19, 2023)

Barari A. Painting cost per square foot: A detailed guide on the cost of painting a house per square foot in India. October 31, 2023.

Uzair M, Yacoub Al-Kafrawi S, Manaf Al-Janadi K, Abdulrahman Al-Bulushi I. A low-cost IoT based buildings management system (BMS) using arduino mega 2560 and raspberry Pi 4 for smart monitoring and automation. Int J Electr Comput Eng Syst. 2022; 13: 219-36. https://doi.org/10.32985/ijeces.13.3.7

Kim YS, Jung MH, Cho YK, Lee J, Jung U. Conceptual design and feasibility analyses of a robotic system for automated exterior wall painting. Int J Adv Robot Syst. 2007; 4: 417-30. https://doi.org/10.5772/5668

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2023 Anthony Mohanasundaram, Mohammed Shakeel

Downloads

Download data is not yet available.