机器视觉技术在木结构建筑检测中的应用现状与展望  

Research Progress and Prospect of Machine Vision Technology in the Detection of Wooden Buildings

作　　者：戴军[1,2] DAI Jun(School of Intelligent Management,Suzhou Industrial Park Institute of Services Outsourcing,Suzhou 215123,China;School of Economics&Management,Tongji University,Shanghai 200092,China)

机构地区：[1]苏州工业园区服务外包职业学院智能管理学院,江苏苏州215123 [2]同济大学经济与管理学院,上海200092

出　　处：《建筑经济》2023年第S01期350-353,共4页Construction Economy

基　　金：国家自然科学基金项目“大规模应急救援资源配送点选址鲁棒优化研究”(71272047);高校哲学社会科学基金项目“中国制造2025背景下制造业实施反向服务外包的现状、问题及对策研究”(2018SJA1926)。

摘　　要：采用机器视觉技术对木结构建筑进行检测,不仅可以克服人工检测效率低,且需较强专业性和经验问题,还可以节省检测成本,提高检测的实时化、自动化及智能化水平。本文阐述机器视觉的技术逻辑及其在木结构建筑检测中的应用逻辑,梳理总结该技术在木结构建筑表层损伤、结构变形等检测应用中的研究现状,提出该技术在检测应用中的不足,并对此类技术的检测应用前景进行展望。Using machine vision technology to detect wooden buildings can not only overcome the low efficiency of manual detection,but also need strong professional and experience problems,can save labor costs,as well as improve actual time,automatic and intelligent level.This paper describes the technical logic of machine vision and its application logic in the detection of wooden buildings,summarizes the research status of this technology in the detection and application of surface damage and structural deformation of wooden buildings were summarized,puts forward the shortcomings of this technology in the detection and application were put forward,and the development trends of this technology in the field of wooden buildings detection were proposed.

关 键 词：人工智能 深度学习 机器视觉技术 木结构建筑检测 

分 类 号：TU746[建筑科学—建筑技术科学] TP274[自动化与计算机技术—检测技术与自动化装置]