EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING
Ahmed A.H. HAQQANI
mukund.janardhanan@leicester.ac.ukUniversity of Leicester, School of Engineering, Mechanics of Materials Research Group, University Rd, Leicester LE1 7RH, United (United Kingdom)
Seenu N
Hindustan Institute of Technology and Science, Center for Automation and Robotics, School of Mechanical Sciences, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai, Tamil Nadu 603103 (India)
Mukund JANARDHANAN
University of Leicester, School of Engineering, Mechanics of Materials Research Group, University Rd, Leicester LE1 7RH (United Kingdom)
Kuppan Chetty RM
Hindustan Institute of Technology and Science, Center for Automation and Robotics, School of Mechanical Sciences, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai, Tamil Nadu 603103 (India)
Abstract
The engineering building of the University Leicester built-in 1963 has been a British icon for decades now. Applications of Robotic technologies are uprising nowadays, which provides a contingency to manipulate the benefits of robotics for executing challenging and precarious facade cleaning processes. This paper surveys the facade cleaning robotic technologies exist in the market. It exhibits the comparative analysis of four notorious robotic facade cleaning solutions namely Sky Pro, Gekko, BFMR (Building Façade Maintenance Robot) and Sirius_c. The comparison is executed using Multi Criteria Decision Analysis (MCDA) and Quality Function Deployment (QFD) techniques. This study analyses the performance of the robots based on the critical parameters such as water consumption, cleaning efficiency, cleaning dimensions and ease of implementation. Although none of these robotic solutions are implemented off the shelf, some adaptation on these solutions is necessary for the development of robotic techniques work successfully in real time. This paper proposes a hybrid robotic solution combining the vacuum pump adhesion and wheeled locomotion for the effective cleaning of the complex external building structure based on the MCDA and QFD analysis. It highlights the significant future research directions in this field.
Keywords:
Wall Climbing Robot, Multi Criteria Decision Analysis, Cleaning Robot, Quality Function DeploymentReferences
Berman, A. (2010a). Jim Stirling and the Red Trilogy: Three Radical Buildings. s.l. Frances Lincoln.
Google Scholar
Berman, A. (2010b). Understanding the Engineering Deparment. In: A. Berman & M. Brunstrom, (Eds.) Jim Stirling and the red trilogy. s.l. Frances Lincoln Limited Publishers, p. 29.
Google Scholar
Breaz, R.E., Bologa, O., & Racz, S.G. (2017). Selecting industrial robots for milling applications using AHP. Procedia Computer Science, 122, 346–353. http://doi.org/10.1016/j.procs.2017.11.379
DOI: https://doi.org/10.1016/j.procs.2017.11.379
Google Scholar
Dissanayake, M., Sattar, T.P., Lowe, S., Pinson, I., & Gan, T.-H. (2018). Adaptable legged-magnetic adhesion tracked wheel robotic platform for misaligned mooring chain climbing and inspection. Industrial Robot, 45(5), 634–646. http://doi.org/10.1108/IR-04-2018-0074
DOI: https://doi.org/10.1108/IR-04-2018-0074
Google Scholar
Elkmann, N., Kunst, D., Krueger, T., Lucke, M., Böhme, T., Felsch, T., & Stürze, T. (2005) SIRIUSc – Facade Cleaning Robot for a High-Rise Building in Munich, Germany. In: Climbing and Walking Robots. Springer, Berlin, Heidelberg. http://doi.org/10.1007/3-540-29461-9_101.
DOI: https://doi.org/10.1007/3-540-29461-9_101
Google Scholar
Gambao, E., & Hernando, M. (2006). Control system for a semi-automatic facade cleaning robot. In Proceedings of the 2006 International Symposium of Automation and Robotics in Construction (pp. 406–411). Tokyo, Japan. http://doi.org/10.22260/ISARC2006/0078
DOI: https://doi.org/10.22260/ISARC2006/0078
Google Scholar
Gambao, E., Hernando, M., & Surdilovic, D. (2008). Development of a Semi-Automated Cost-Effective Facade Cleaning System. In C. Balaguer & M. Abderrahim (Eds.), Robotics and Automation in Construction (pp.295-306). IntechOpen. https://doi.org/10.5772/6190
DOI: https://doi.org/10.5772/6190
Google Scholar
Gudi, S., & Bhat, K. (2016). Design and Development of Pneumatic suction-based wall climbing robot for multiple applications. International Research Journal of Engineering and Technology, 03(07), 745–748.
Google Scholar
Guo, J., Justham, L., Jackson, M., & Parkin, R. (2015). A concept selection method for designing climbing robots. Key Engineering Materials, 649, 22–29. https://doi.org/10.4028/www.scientific.net/KEM.649.22
DOI: https://doi.org/10.4028/www.scientific.net/KEM.649.22
Google Scholar
Mahajan, R., & Patil, S. (2013). Development of Wall Climbing Robots for Cleaning Application. International Journal of Emerging Technology and Advanced Engineering, 3(5), 658–662.
Google Scholar
Moon, S.M., Shin, C.Y., Huh, J., Won Oh, K., & Hong, D. (2015). Window Cleaning System with Water Circulation for Building Façade Maintenance Robot and Its Efficiency Analysis. International Journal of Precision Engineering and Manufacturing-Green Technology, 2(1), 66–72. http://doi.org/10.1007/s40684-015-0009-8
DOI: https://doi.org/10.1007/s40684-015-0009-8
Google Scholar
Nansai, S., & Mohan, R.E. (2016). A Survey of Wall Climbing Robots: Recent Advances and challenges. Robotics, 5(3), 14. http://doi.org/10.3390/robotics5030014
DOI: https://doi.org/10.3390/robotics5030014
Google Scholar
Nishi, A., Wakasugi, Y., & Watanabe, K. (1986). Design of a Robot Capable of Moving on a Vertical Wall. Adv. Robotics, 1, 33–45.
DOI: https://doi.org/10.1163/156855386X00300
Google Scholar
Panchal, K., Vyas, C., & Patel, D. (2014). Developing the Prototype of Wall Climbing Robot. International Journal of Advance Engineering and Research Development, 1(3), 2348–4470. http://doi.org/10.21090/ijaerd.010344
DOI: https://doi.org/10.21090/IJAERD.010344
Google Scholar
Qian, Z., Zhao, Y.Z., & Zhuang, F. (2006). Development of wall climbing robots with sliding suction. In IEEE/ RSJ International Conference on Intelligent Robots and Systems (pp. 3417–3422). http://doi.org/10.1109/IROS.2006.282579
DOI: https://doi.org/10.1109/IROS.2006.282579
Google Scholar
Rathod, S., Rai, A., Kumar, C., & Kumar, R. (2017). Skyscrapers Wall Climbing and Glass Cleaning Automated Robot. International Journal of Scientific Research in Science, Engineering and Technology, 03(3), 155–161.
Google Scholar
Sahbel, A., Abbas, A., & Sattar, T. (2019). Experimental and Numerical Optimization of Magnetic Adhesion Force for Wall Climbing Robot Applications. International Journal of Mechanical Engineering and Robotics Research, 8(1), 18–24.
Google Scholar
http://doi.org/10.18178/ijmerr.8.1.18-24
DOI: https://doi.org/10.18178/ijmerr.8.1.18-24
Google Scholar
Sakamoto, S. (1990). Mechanical planning and actual test results of a robot for painting the exterior walls of high-rise buildings. Advanced Robotics, 5(4), 457–466. http://doi.org/10.1163/156855391X00331
DOI: https://doi.org/10.1163/156855391X00331
Google Scholar
Silva, M., Machado, J., & Tar, J. (2010). A Survey of Technologies and Applications for Climbing Robots Locomotion and Adhesion. In Climbing and Walking Robots (pp. 1–22). http://doi.org/10.5772/8826.
DOI: https://doi.org/10.5772/8826
Google Scholar
Tokioka, S., Sakai, S., & Ishigami, S. (1992). Concrete Wall Painting Robot (KFR-2). Journal of the Robotics Society of Japan, 10(5), 612–614. http://doi.org/10.7210/jrsj.10.612
DOI: https://doi.org/10.7210/jrsj.10.612
Google Scholar
Zhu, J., Sun, D., & Tso, S.K. (2002). Application of a Service Climbing Robot with Motion Planning and Visual Sensing. Journal of Robotic Systems, 20(4), 189–199. http://doi.org/10.1002/rob.10080
DOI: https://doi.org/10.1002/rob.10080
Google Scholar
Authors
Ahmed A.H. HAQQANImukund.janardhanan@leicester.ac.uk
University of Leicester, School of Engineering, Mechanics of Materials Research Group, University Rd, Leicester LE1 7RH, United United Kingdom
Authors
Seenu NHindustan Institute of Technology and Science, Center for Automation and Robotics, School of Mechanical Sciences, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai, Tamil Nadu 603103 India
Authors
Mukund JANARDHANANUniversity of Leicester, School of Engineering, Mechanics of Materials Research Group, University Rd, Leicester LE1 7RH United Kingdom
Authors
Kuppan Chetty RMHindustan Institute of Technology and Science, Center for Automation and Robotics, School of Mechanical Sciences, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai, Tamil Nadu 603103 India
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