Improvement of uav based an evaluation approach to mid-high rise buildings' exterior walls

被引:0
|
作者
Pan N.-H. [1 ]
Tsai C.-H. [2 ]
Chen K.-Y. [1 ]
Sung S. [3 ]
机构
[1] Department of Civil and Construction Engineering, National Yunlin University of Science and Technology, Douliou
[2] Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Douliou
[3] Office of Human Resources, Chaoyang University of Technology, Taichung
来源
Sung, Shiaofang (sfsung@cyut.edu.tw) | 1600年 / Tech Science Press卷 / 14期
关键词
Exterior walls; Inspection; UAV;
D O I
10.32604/SDHM.2020.06489
中图分类号
学科分类号
摘要
This research will develop a set of assessment techniques and procedures for exterior wall deterioration detection. The proposed method is mainly based on equipped with high-resolution photographic equipment for unmanned aerial vehicle (UAV). To overcome the problems of visual inspection difficulties due to different angles and height, the proposed method provides a safer and more efficient detection way to get the buildings' exterior status. After using the proposed method to analyze the images taken from UAV, the size of the damaged area can be evaluated more accurately, and the accuracy rate of visual assessment will be significantly improved. The results of the proposed method can reduce the accidents caused by the inspection process in the critical environment and the costs incurred by the temporary facilities without sacrificing the quality of the inspection results. Then, the research will implement the existing visual assessment method because of the characteristics of rapid detection, however, the assessment results will be different from different inspectors due to subjectivity. Thus, the research will present an improved visual inspection method by using UAVand Forward Looking Infred Thermal technology (FLIR). The result will be presented by Condition Index (CI-Level) instead to improve the subjectivity of the personnel. © 2020 Tech Science Press. All rights reserved.
引用
收藏
页码:109 / 125
页数:16
相关论文
共 50 条
  • [41] Biomimicry, An Approach Toward Sustainability of High-Rise Buildings
    Seyedehaida Mirniazmandan
    Ehsan Rahimianzarif
    Iranian Journal of Science and Technology, Transactions A: Science, 2018, 42 : 1837 - 1846
  • [42] Biomimicry, An Approach Toward Sustainability of High-Rise Buildings
    Mirniazmandan, Seyedehaida
    Rahimianzarif, Ehsan
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A-SCIENCE, 2018, 42 (A4): : 1837 - 1846
  • [43] DRY FLOOR - A NEW APPROACH TO HIGH RISE APARTMENT BUILDINGS
    NEWMAN, JH
    ENGINEERING JOURNAL-AMERICAN INSTITUTE OF STEEL CONSTRUCTION INC, 1966, 3 (04): : 161 - &
  • [44] CEMENT BASED FACADES FOR MID-RISE COMMERCIAL SUSTAINABLE AND RESILIENT BUILDINGS
    Barluenga, Gonzalo
    Ladipo, Oluwateniola
    Reichard, Georg
    Leon, Roberto T.
    II INTERNATIONAL CONFERENCE ON CONCRETE SUSTAINABILITY - ICCS16, 2016, : 241 - 249
  • [45] Environmental Safety Evaluation of High-rise Buildings in Baotou
    Ding, Yuxian
    Ma, Ningbo
    Ding, Lei
    SUSTAINABLE ENVIRONMENT AND TRANSPORTATION, PTS 1-4, 2012, 178-181 : 943 - 946
  • [46] Evaluation of structural systems in slender high-rise buildings
    Walsh, Patrick
    Saleh, Ali
    Far, Harry
    AUSTRALIAN JOURNAL OF STRUCTURAL ENGINEERING, 2018, 19 (02) : 105 - 117
  • [47] Towards bioclimatic high-rise buildings: Is a bioclimatic design approach appropriate for improving environmental performance of high-rise buildings?
    Law, J
    Tall Buildings: From Engineering to Sustainability, 2005, : 1017 - 1025
  • [48] Optimization Design of Core Thickness of Exterior Frame and Core Hybrid Structures in High-rise Buildings
    Zhang, Shuyun
    Zhao, Wenwei
    Wang, Haihua
    PROGRESS IN STRUCTURE, PTS 1-4, 2012, 166-169 : 14 - 18
  • [49] An artificial neural network identification method for thermal resistance of exterior walls of buildings based on numerical experiments
    Lin Chen
    Changhong Zhan
    Guanghao Li
    Aimin Zhang
    Building Simulation, 2019, 12 : 425 - 440
  • [50] An artificial neural network identification method for thermal resistance of exterior walls of buildings based on numerical experiments
    Chen, Lin
    Zhan, Changhong
    Li, Guanghao
    Zhang, Aimin
    BUILDING SIMULATION, 2019, 12 (03) : 425 - 440