基于机器视觉的建筑结构地震稳定性监测系统

Zhang Fang
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引用次数: 0

摘要

为了克服传统建筑结构地震稳定性监测系统存在的检测精度和效率不高的问题,本文提出了一种基于机器视觉的建筑结构地震稳定性监测系统。在LabVIEW平台上设计了系统的功能和结构。在此基础上,设计了系统的硬件部分,包括建筑结构视觉图像采集设备和无线传输模块。在系统的软件部分,采用图像算法计算建筑结构的视觉图像,完成失稳因素的判断。实验结果表明,与传统的监测系统相比,所设计系统的视觉特征提取精度和稳定性监测精度更高,实际应用性能更强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seismic stability monitoring system of building structure based on machine vision
In order to overcome the problems of low detection accuracy and efficiency existing in the traditional seismic stability monitoring system of building structure, a new seismic stability monitoring system of building structure based on machine vision is proposed in this paper. The function and structure of the system are designed on LabVIEW platform. Based on this, the hardware of the system is designed, including building structure visual image acquisition equipment and wireless transmission module. In the software part of the system, the image algorithm is used to calculate the visual image of the building structure to complete the judgment of the instability factor. The experimental results show that, compared with the traditional monitoring system, the visual feature extraction accuracy and stability monitoring accuracy of the designed system are higher, and the practical application performance is stronger.
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