|Table of Contents|

Intelligent Development Trend of Building Enclosure Damage Detection(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2022年04期
Page:
24-37
Research Field:
Publishing date:

Info

Title:
Intelligent Development Trend of Building Enclosure Damage Detection
Author(s):
WANG Pu-jin1 XIAO Jian-zhuang1 DUAN Zhen-hua1 LI Chun-lai2
(1. College of Civil Engineering, Tongji University, Shanghai 200092, China; 2. Shanghai Institute of Technical Physics Chinese Academy of Sciences, Shanghai 200083, China)
Keywords:
building enclosure curtain wall damage detection intelligent development trend
PACS:
TU18
DOI:
10.19815/j.jace.2021.08027
Abstract:
In order to sort out the advantages and disadvantages of the main damage detection methods of building enclosure and explore their development trends in the future, literature review and comparative analysis were performed to summarize the common damages in building enclosure and analyze the main reasons to the damages, review the development status of building enclosure damage detection technology, describe new damage detection methods based on digitization and intelligence, and analyze the adaptation conditions, pros and cons of the new methods. The results show that the main damage detection methods used in the building enclosure are traditional methods such as visual inspection and hammering method at present. The detection efficiency is low while the cost is high, which needs more than 7 d to issue a detection report. The detection methods carried out by digital and intelligent approaches have improved the efficiency to a certain extent, but the final decision still requires the judgment of experienced professionals. The development trend of building enclosure damage detection includes artificial intelligence algorithms that can perform quick identification and judgment should be introduced to shorten the time consumption of detection reports issuance to a few hours or even immediately in the development of software, and professional robots and detection modules need to be developed in the development of hardware.

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Last Update: 2022-07-10