Seismic stability monitoring system of building structure based on machine vision

Abstract

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.