首页|基于计算机视觉的房屋建筑深基坑沉降监测方法

基于计算机视觉的房屋建筑深基坑沉降监测方法

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设计计算机视觉建筑深基坑沉降监测模型,采用水平移位辅助追踪的方式来实现视觉监测处理.最终的测试结果表明:在3.5 m、5.5 m、7.5 m3个深基坑深度监测背景环境下,针对选定的5个独立测试单元,得出的监测耗时均被较好地控制在0.2 s以下,表明在计算机机器视觉技术的辅助下,所设计的房屋建筑深基坑沉降监测方法高效、灵敏,针对性强,监测效果更佳.
COMPUTER VISION BASED METHOD FOR MONITORING SETTLEMENT OF DEEP FOUNDATION PITS IN BUILDING CONSTRUCTION
Set up regional monitoring nodes and use visual processing to break the limitations of monitoring range and complete the division of settlement areas.Based on this,design a computer vision deep foundation pit settlement monitoring model for buildings,and use horizontal displacement assisted tracking to achieve visual monitoring processing.The final test results show that under the background environment of deep foundation pit monitoring at depths of 3.5 m,5.5 m,and 7.5 m,for the selected 5 independent testing units,the monitoring time is well controlled below 0.2 s.This indicates that with the assistance of computer machine vision technology,the designed method for monitoring the settlement of deep foundation pits in building construction is efficient,sensitive,targeted,and has better monitoring effects.

computer visiondeep foundation pit settingsettlement monitoring

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河南五建建设集团有限公司,郑州 450007

计算机视觉 深基坑设定 沉降监测

2024

建筑技术开发
北京市建筑工程研究院

建筑技术开发

影响因子:0.351
ISSN:1001-523X
年,卷(期):2024.51(6)
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