High-Rise Wind Resistance Detection Platform based on Information System and Sensor Data

Abstract

A data resampling algorithm of virtual oscilloscope is presented, which can reflect the characteristics of the curve more accurately under the lower computational complexity. At the same time, an improved related algorithm based on fast Fourier transform is given and discussed. The vibration curve of the Yaolou floor across the wind direction is more consistent; Different from each other, it is related to the form of the building facade; the vibration comfort of the building meets the code requirements. Through the sensitivity analysis of the equivalent static wind load and peak acceleration, and on this basis, the information characteristics of the sensing signal are effectively extracted by using high-order spectrum analysis, and the information features of the sensing signal are accurately identified by the support vector machine method based on particle swarm optimization. the signal type. Simulation analysis shows that the technology can extract and identify the information of intrusion sensing signals with high accuracy.