Rui-Jun Yan, Chin Leong Low, Jinjun Duan, Lili Liu, E. Kayacan, I. Chen, R. Tiong
{"title":"Development of a novel post-construction quality assessment robot system","authors":"Rui-Jun Yan, Chin Leong Low, Jinjun Duan, Lili Liu, E. Kayacan, I. Chen, R. Tiong","doi":"10.1109/ICARCV.2016.7838741","DOIUrl":null,"url":null,"abstract":"Utilizing construction quality standards for almost perfect building projects ensures future marketability of projects, customer satisfaction and maximization of asset value. This paper describes a novel robot system to autonomously assess the post-construction quality of buildings which is currently done manually by using human inspectors. However, manual inspection always has the disadvantages, such as labile inspection accuracy, being time consuming and indistinct recording. As a novel solution to the aforementioned drawbacks, a mobile robot is equipped with a laser scanner, a thermal camera, an inclinometer and a RGB camera to achieve an autonomous assessment system. This proposed system can assess five types of defects: evenness, alignment, cracks, hollowness, and inclination. A movable trolley with different mechanisms are designed to mount and integrate all these sensors. Its mechanical design with four motors and one linear actuator, which are installed to increase the measurement range of sensors, is also presented. The experimental tests show that the proposed system has a great potential in construction quality assessment area in building sector.","PeriodicalId":128828,"journal":{"name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARCV.2016.7838741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Utilizing construction quality standards for almost perfect building projects ensures future marketability of projects, customer satisfaction and maximization of asset value. This paper describes a novel robot system to autonomously assess the post-construction quality of buildings which is currently done manually by using human inspectors. However, manual inspection always has the disadvantages, such as labile inspection accuracy, being time consuming and indistinct recording. As a novel solution to the aforementioned drawbacks, a mobile robot is equipped with a laser scanner, a thermal camera, an inclinometer and a RGB camera to achieve an autonomous assessment system. This proposed system can assess five types of defects: evenness, alignment, cracks, hollowness, and inclination. A movable trolley with different mechanisms are designed to mount and integrate all these sensors. Its mechanical design with four motors and one linear actuator, which are installed to increase the measurement range of sensors, is also presented. The experimental tests show that the proposed system has a great potential in construction quality assessment area in building sector.