Automated technique for high-pressure water-based window cleaning and accompanying parametric study
The maintenance of buildings has become an important issue with the construction of many high-rise buildings in recent years. However, the cleaning of the outer walls of buildings is performed in highly hazardous environments over long periods, and many accidents occur each year. Various robots are...
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description | The maintenance of buildings has become an important issue with the construction of many high-rise buildings in recent years. However, the cleaning of the outer walls of buildings is performed in highly hazardous environments over long periods, and many accidents occur each year. Various robots are being studied and developed to reduce these incidents and to relieve workers from hazardous tasks. Herein, we propose a method of spraying high-pressure water using a pump and nozzle, which differs from conventional methods. The cleaning performance parameters, such as water pressure, spray angle, and spray distance, were optimized using the Taguchi method. Cleaning experiments were performed on window specimens that were contaminated artificially. The cleaning performance of the proposed method was evaluated using the image-evaluation method. The optimum condition was determined based on the results of a sensitive analysis performed on the image data. In addition, the reaction force due to high pressure and impact force on the specimens were investigated. These forces were not sufficient to affect the propeller thrust or cause damage to the building's surface. We expect to perform field tests in the near future based on the output of this research. |
doi_str_mv | 10.1371/journal.pone.0242413 |
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However, the cleaning of the outer walls of buildings is performed in highly hazardous environments over long periods, and many accidents occur each year. Various robots are being studied and developed to reduce these incidents and to relieve workers from hazardous tasks. Herein, we propose a method of spraying high-pressure water using a pump and nozzle, which differs from conventional methods. The cleaning performance parameters, such as water pressure, spray angle, and spray distance, were optimized using the Taguchi method. Cleaning experiments were performed on window specimens that were contaminated artificially. The cleaning performance of the proposed method was evaluated using the image-evaluation method. The optimum condition was determined based on the results of a sensitive analysis performed on the image data. In addition, the reaction force due to high pressure and impact force on the specimens were investigated. These forces were not sufficient to affect the propeller thrust or cause damage to the building's surface. We expect to perform field tests in the near future based on the output of this research.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0242413</identifier><identifier>PMID: 33270672</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Automation ; Building damage ; Buildings ; Cleaning ; Construction ; Construction Industry - trends ; Engineering and Technology ; Field tests ; Hazardous areas ; High pressure ; High pressure technology ; High rise buildings ; Humans ; Hydrostatic Pressure ; Image processing ; Impact loads ; Maintenance - trends ; Mechanical engineering ; Nozzles ; Optimization ; Parametric statistics ; Physical Sciences ; Research and Analysis Methods ; Research methodology ; Robotics - trends ; Robots ; Social Sciences ; Spraying ; Taguchi methods ; Technology application ; Water ; Water pressure ; Window cleaning ; Workers</subject><ispartof>PloS one, 2020-12, Vol.15 (12), p.e0242413-e0242413</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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However, the cleaning of the outer walls of buildings is performed in highly hazardous environments over long periods, and many accidents occur each year. Various robots are being studied and developed to reduce these incidents and to relieve workers from hazardous tasks. Herein, we propose a method of spraying high-pressure water using a pump and nozzle, which differs from conventional methods. The cleaning performance parameters, such as water pressure, spray angle, and spray distance, were optimized using the Taguchi method. Cleaning experiments were performed on window specimens that were contaminated artificially. The cleaning performance of the proposed method was evaluated using the image-evaluation method. The optimum condition was determined based on the results of a sensitive analysis performed on the image data. In addition, the reaction force due to high pressure and impact force on the specimens were investigated. 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We expect to perform field tests in the near future based on the output of this research.</description><subject>Automation</subject><subject>Building damage</subject><subject>Buildings</subject><subject>Cleaning</subject><subject>Construction</subject><subject>Construction Industry - trends</subject><subject>Engineering and Technology</subject><subject>Field tests</subject><subject>Hazardous areas</subject><subject>High pressure</subject><subject>High pressure technology</subject><subject>High rise buildings</subject><subject>Humans</subject><subject>Hydrostatic Pressure</subject><subject>Image processing</subject><subject>Impact loads</subject><subject>Maintenance - trends</subject><subject>Mechanical engineering</subject><subject>Nozzles</subject><subject>Optimization</subject><subject>Parametric statistics</subject><subject>Physical Sciences</subject><subject>Research and Analysis Methods</subject><subject>Research methodology</subject><subject>Robotics - trends</subject><subject>Robots</subject><subject>Social Sciences</subject><subject>Spraying</subject><subject>Taguchi methods</subject><subject>Technology application</subject><subject>Water</subject><subject>Water pressure</subject><subject>Window cleaning</subject><subject>Workers</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99rFDEQxxdRbK3-B6ILgujDnfm1ye6LUIo_CoWCv17DXDJ7l7KbXJOs9f57c-219KQPkoeEyWe-k5nJVNVLSuaUK_rhIkzRwzBfB49zwgQTlD-qDmnH2Uwywh_fOx9Uz1K6IKThrZRPqwPOmSJSscPKHE85jJDR1hnNyrvLCes-xHrllqvZOmJKU8T6qhBxtoBUuCvnbbiqzYDgnV_W4G0NxoRxDX6zNawhwog5OlOnPNnN8-pJD0PCF7v9qPr5-dOPk6-zs_MvpyfHZzMjO5ZnaCinQvRWWtGilNBa3i1aAgJaBKACOkNagaSnqm-I6HolWmgs61rGBCH8qHp9o7seQtK7-iTNhJRKsbZpCnF6Q9gAF3od3QhxowM4fW0IcakhZldS0wwVNAwWxAIKwaBtF4TZprOI3MrOFK2Pu2jTYkRr0OcIw57o_o13K70Mv7VSVNDSmqPq3U4ghlL1lPXoksFhAI9hun63krQlQhX0zT_ow9ntqCWUBJzvQ4lrtqL6WAouFadqG3b-AFWWxdGZ8pl6V-x7Du_3HAqT8U9ewpSSPv3-7f_Z81_77Nt77AphyKsUhim74NM-KG5AE0NKEfu7IlOit7NwWw29nQW9m4Xi9up-g-6cbj8__wtQqQVH</recordid><startdate>20201203</startdate><enddate>20201203</enddate><creator>Lee, Youngjoo</creator><creator>Kwon, Daesung</creator><creator>Park, Changmin</creator><creator>Seo, Myoungjae</creator><creator>Seo, TaeWon</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9447-7675</orcidid></search><sort><creationdate>20201203</creationdate><title>Automated technique for high-pressure water-based window cleaning and accompanying parametric study</title><author>Lee, Youngjoo ; Kwon, Daesung ; Park, Changmin ; Seo, Myoungjae ; Seo, TaeWon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-ec13144fd6d48e66a8d39b80a4a8eaa14a9c084e0f17f5049f748a5d298224003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Automation</topic><topic>Building damage</topic><topic>Buildings</topic><topic>Cleaning</topic><topic>Construction</topic><topic>Construction Industry - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Youngjoo</au><au>Kwon, Daesung</au><au>Park, Changmin</au><au>Seo, Myoungjae</au><au>Seo, TaeWon</au><au>Ding, Hongbing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated technique for high-pressure water-based window cleaning and accompanying parametric study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-12-03</date><risdate>2020</risdate><volume>15</volume><issue>12</issue><spage>e0242413</spage><epage>e0242413</epage><pages>e0242413-e0242413</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The maintenance of buildings has become an important issue with the construction of many high-rise buildings in recent years. However, the cleaning of the outer walls of buildings is performed in highly hazardous environments over long periods, and many accidents occur each year. Various robots are being studied and developed to reduce these incidents and to relieve workers from hazardous tasks. Herein, we propose a method of spraying high-pressure water using a pump and nozzle, which differs from conventional methods. The cleaning performance parameters, such as water pressure, spray angle, and spray distance, were optimized using the Taguchi method. Cleaning experiments were performed on window specimens that were contaminated artificially. The cleaning performance of the proposed method was evaluated using the image-evaluation method. The optimum condition was determined based on the results of a sensitive analysis performed on the image data. In addition, the reaction force due to high pressure and impact force on the specimens were investigated. These forces were not sufficient to affect the propeller thrust or cause damage to the building's surface. We expect to perform field tests in the near future based on the output of this research.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33270672</pmid><doi>10.1371/journal.pone.0242413</doi><tpages>e0242413</tpages><orcidid>https://orcid.org/0000-0001-9447-7675</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Automation Building damage Buildings Cleaning Construction Construction Industry - trends Engineering and Technology Field tests Hazardous areas High pressure High pressure technology High rise buildings Humans Hydrostatic Pressure Image processing Impact loads Maintenance - trends Mechanical engineering Nozzles Optimization Parametric statistics Physical Sciences Research and Analysis Methods Research methodology Robotics - trends Robots Social Sciences Spraying Taguchi methods Technology application Water Water pressure Window cleaning Workers |
title | Automated technique for high-pressure water-based window cleaning and accompanying parametric study |
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