Fundamental frequency extraction method based on statistical method and applied to cable force detection

Abstract

The invention discloses a fundamental frequency extraction method based on a statistical method and applied to cable force detection. The fundamental frequency extraction method based on the statistical method and applied to cable force detection comprises the following steps that (1) FFT conversion is conducted on data collected by an acceleration sensor on an inhaul cable, the first N maximum frequency points of the data generated after FFT conversion are extracted according to a peak value, and the measuring time is recorded and serves as a piece of record; (2) weighted statistic is conducted on historical data of multiple time points, the frequency point with the largest weight is found, and namely the frequency point with the largest weight is a needed fundamental component. According to the fundamental frequency extraction method based on the statistical method and applied to cable force detection, fixed-point FFT conversion can be conducted on a time domain signal in advance through a DSP chip, time waste and resource waste which are caused in the process of data transmission in a project are reduced. The statistical method is applied, and therefore fundamental frequency measuring errors caused by one-time measurement can be reduced. In addition, manual intervention can be conveniently conducted, and manual adjustment can be conducted on obvious errors.

Description

technical field [0001] The invention relates to a system in the technical field of digital signal processing, in particular to a fundamental frequency extraction method for cable force detection based on a statistical method. Background technique [0002] The cable force of the cable-stayed lock directly determines the working state of the cable-stayed cables, and it is necessary to ensure the smooth construction and safe operation of cable-stayed bridges by using accurate methods to conduct reasonable cable force tests. So far, there are mainly four methods available for on-site measurement of cable force: pressure measurement method, pressure sensor measurement method, magnetic flux method and frequency method. An algorithm for frequency extraction. [0003] The present invention mainly relies on the application of this highly intelligent acceleration sensor in bridges, and proposes an effective scheme for calculating fundamental frequency components. Cables and their ca...

AI Technical Summary

Problems solved by technology

The self-power spectrum method and the cepstrum method used in it also represent the fundamental frequency solutions commonly used in the existing fundamental frequency detection technology, but on the one hand, the use of these methods requires a large amount of time-domain data to be measured by the bottom sensor and transmitted to the upper level Computer software is used for data processing, and the amount of calculation is often relatively large. On the other hand, these methods are mainly aimed at the effectiveness of fundamental frequency extraction for one measurement, and the safety detection of bridges is often more of a process of gradual aging and damage. Therefore, the use of Statistical methods give historical measurement records undoubtedly provide an effective solution from another perspective

In addition, because the system may have obvious system errors, it lacks the function of manual intervention, and can be calibrated when the system has obvious measurement errors

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