综合BIM结合表面图像分析的钢结构无损检测方法
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摘要
采用质量脆弱性评价方法检测地震区绿色施工建筑钢结构时,易受噪声的干扰,且检测深度较浅,未能全面检测钢结构的损坏情况。提出综合BIM结合表面图像分析的钢结构无损检测方法,使用小波分解方法对建筑钢结构的检测图像进行去噪处理,通过膨胀与腐蚀处理增强检测图像的清晰度,采用红外图像技术,依据缺陷边缘处检测图像恢复的变化率,通过旋转跟踪法依次提取缺陷边缘,构建基于BIM的地震区绿色施工建筑钢结构检测模型,全面掌控地震区绿色建筑钢结构的材料、无损检测以及管理等过程,管控建筑钢结构全寿命周期,完成建筑钢结构的无损检测。实验结果表明,所提方法有效检测率为100%,检测深度高达1 499 mm,且检测结果的相对误差仅有0.000 7%。
Using the method of quality vulnerability assessment to detect the steel structure of green construction buildings in the earthquake area easily leads to noise disturbance. Moreover, the detection depth is shallow; therefore, the damage of the steel structure cannot be detected comprehensively. Herein, a nondestructive detection method for steel structure based on building information modeling(BIM) and surface image analysis is proposed. The wavelet decomposition method is used to denoise the detection image of the steel structure. Further, the expansion and corrosion processings are used to enhance the clarity of the detection image. According to the change rate of image restoration at defect edges, the infrared image technology, and rotation tracking method are adopted to extract the defect edge. The detection model of green construction steel structure based on BIM in seismic area was constructed to comprehensively control the material, nondestructive testing, and management of green construction steel structure in the seismic area. Additionally, the whole life cycle of steel structure is controlled, and the nondestructive testing of steel structure is completed. The experimental results show that the effective detection rate of the proposed method, detection depth, and relative error of the detection results are 100%, 1 499 mm, and 0.000 7%, respectively.
Using the method of quality vulnerability assessment to detect the steel structure of green construction buildings in the earthquake area easily leads to noise disturbance. Moreover, the detection depth is shallow; therefore, the damage of the steel structure cannot be detected comprehensively. Herein, a nondestructive detection method for steel structure based on building information modeling(BIM) and surface image analysis is proposed. The wavelet decomposition method is used to denoise the detection image of the steel structure. Further, the expansion and corrosion processings are used to enhance the clarity of the detection image. According to the change rate of image restoration at defect edges, the infrared image technology, and rotation tracking method are adopted to extract the defect edge. The detection model of green construction steel structure based on BIM in seismic area was constructed to comprehensively control the material, nondestructive testing, and management of green construction steel structure in the seismic area. Additionally, the whole life cycle of steel structure is controlled, and the nondestructive testing of steel structure is completed. The experimental results show that the effective detection rate of the proposed method, detection depth, and relative error of the detection results are 100%, 1 499 mm, and 0.000 7%, respectively.
引文
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[2] 王宏涛,王变利.融合LiDAR和多光谱影像的建筑物自动检测[J].测绘科学,2015,40(8):64-67,17.WANG Hongtao,WANG Bianli.Automatic Building Detection Fusing LiDAR and Multispectral Imagery[J].Science of Surveying and Mapping,2015,40(8):64-67,17.
[3] 李政,李永树,吴玺,等.基于卷积神经网络的空心村高分影像建筑物检测方法[J].农业机械学报,2017,48(9):160-165.LI Zheng,LI Yongshu,WU Xi,et al.Hollow Village Building Detection Method Using High Resolution Remote Sensing Image Based on CNN[J].Transactions of the Chinese Society for Agricultural Machinery,2017,48(9):160-165.
[4] 李英攀,马晓飞,梁欣,等.基于Cloud-BIM的绿色施工信息化管理研究[J].施工技术,2016,45(18):48-53.LI Yingpan,MA Xiaofei,LIANG Xin,et al.Research on Information Management of Green Construction Based on Cloud-BIM[J].Construction Technology,2016,45(18):48-53.
[5] 赵钦,田庆,刘云贺,等.绿色建筑评价新标准下BIM技术在施工管理中的应用研究[J].西安理工大学学报,2017,33(2):211-219.ZHAO Qin,TIAN Qing,LIU Yunhe,et al.BIM Technology Application of Construction Management under a New Assessment Standard for Green Building[J].Journal of Xi'an University of Technology,2017,33(2):211-219.
[6] 孙恒.校园建筑设计能耗优化监测仿真研究[J].计算机仿真,2017,34(10):383-386.SUN Heng.Simulation Study on Optimization of Energy Consumption Monitoring for Campus Building Design[J].Computer Simulation,2017,34(10):383-386.
[7] 吴守荣,李琪,孙槐园,等.BIM技术在城市轨道交通工程施工管理中的应用与研究[J].铁道标准设计,2016,60(11):115-119.WU Shourong,LI Qi,SUN Huaiyuan,et al.Study and Application of BIM Technology in Urban Rail Transit Construction Management[J].Railway Standard Design,2016,60(11):115-119.
[8] 刘晓燕.基于全寿命周期管理的电力设备状态检修成本研究[J].江苏电机工程,2016,35(5):74-76.LIU Xiaoyan.Study on Electrical Equipment Condition-based Maintenance Cost with Life Cycle Cost Theory[J].Jiangsu Electrical Engineering,2016,35(5):74-76.
[9] 王婷,池文婷.BIM技术在4D施工进度模拟的应用探讨[J].图学学报,2015,36(2):306-311.WANG Ting,CHI Wenting.Discussion on the Application of BIM Technology in the Field of 4D Construction Schedule[J].Journal of Graphics,2015,36(2):306-311.
[10] LU Z X,XU C G,XIAO D G,et al.Nondestructive Testing Method for Curved Surfaces Based on the Multi-gaussian Beam Model[J].Journal of Nondestructive Evaluation,2015,34(4):39.
[11] 朱记伟,郑思龙,刘建林,等.基于BIM技术的城市综合管廊工程协同设计应用[J].给水排水,2016,42(11):131-135.ZHU Jiwei,ZHENG Silong,LIU Jianlin,et al.Application of Collaborative Design in Urban Utility Tunnel Based on BIM[J].Water & Wastewater Engineering,2016,42(11):131-135.
[12] CHEN J L,LI Z,GONG K Z.Nondestructive Testing Method Based on Lamb Waves for Localization and Extent ofDamage[J].Acta Mechanica Solida Sinica,2017,30(1):65-74.
[13] 刘智敏,王英,孙静,等.BIM技术在桥梁工程设计阶段的应用研究[J].北京交通大学学报,2015,39(6):80-84.LIU Zhimin,WANG Ying,SUN Jing,et al.Application Study on BIM Technology in Bridge Design Stage[J].Journal of Beijing Jiaotong University,2015,39(6):80-84.
[14] 朱红光,赖苏玲,易成,等.基于无损测试的新老混凝土抗冻融性能表征方法[J].建筑结构学报,2015,36(3):141-146.ZHU Hongguang,LAI Suling,YI Cheng,et al.Characterization Method of Freeze-Thaw Durability for New-to-Old Concrete Based on Nondestructive Test[J].Journal of Building Structures,2015,36(3):141-146.
[15] 穆文奇,徐炜,南芳兰,等.BIM技术在模板脚手架工程施工精细化管理中的应用研究[J].施工技术,2017,46(6):12-14.MU Wenqi,XU Wei,NAN Fanglan,et al.Research on Application of BIM Technology in the Fine Management of Formwork Scaffold Construction[J].Construction Technology,2017,46(6):12-14.