CN-122016031-A - Vibration source frequency positioning method for building structure beat vibration detection and electronic equipment

CN122016031ACN 122016031 ACN122016031 ACN 122016031ACN-122016031-A

Abstract

The invention relates to the field of detection and analysis of building structure vibration, and discloses a vibration source frequency positioning method and electronic equipment for building structure beat vibration detection. The method comprises the steps of determining beat frequency based on time domain waveforms of vibration signal samples, determining interesting spectral peak frequency points at the left half part of the linear average amplitude spectrum based on the linear average amplitude spectrum of the vibration signal samples, determining serialized band-pass frequency bands corresponding to all interesting spectral peak frequency points based on preset serialized bandwidths, carrying out band-pass filtering processing on the vibration signal samples based on the serialized band-pass frequency bands corresponding to all interesting spectral peak frequency points to obtain band-pass sub-signals, determining effective value fluctuation frequency approximation coefficients based on the band-pass sub-signals and the beat frequency, and taking a frequency band with the highest effective value fluctuation frequency approximation coefficient as the frequency band where the beat vibration source frequency is located. By combining the time domain and frequency information, the characteristic value which can represent the possibility of beat vibration in each narrowband frequency band is obtained, and the vibration source frequency is accurately positioned.

Inventors

SHI CHANGYU
GUO LEI
CAO LIANG
XIAO WANGQIANG
CAI ZHIQIN

Assignees

神华准格尔能源有限责任公司

Dates

Publication Date: 20260512
Application Date: 20260122

Claims (10)

1. A vibration source frequency positioning method for detecting beat vibration of a building structure is characterized by comprising the following steps: based on the time domain waveform of the vibration signal sample, judging whether a beat vibration phenomenon exists or not and determining the beat vibration frequency; Determining interesting spectral peak frequency points of the left half part of the linear average amplitude spectrum based on the linear average amplitude spectrum of the vibration signal sample, and determining a serialization band-pass frequency band corresponding to each interesting spectral peak frequency point based on a preset serialization bandwidth; Carrying out band-pass filtering processing on the vibration signal sample based on a serial band-pass frequency band corresponding to each interested spectral peak frequency point to obtain a band-pass sub-signal; And determining an effective value fluctuation frequency approximate coefficient based on the band-pass sub-signal and the beat vibration frequency, and taking a frequency band with the highest effective value fluctuation frequency approximate coefficient as the frequency band where the beat vibration source frequency is located.
2. The method according to claim 1, wherein a frequency point in the left half of the linear average amplitude spectrum where the peak characteristic value is equal to 1 is defined as a spectral peak frequency point.
3. The method of claim 1, wherein determining, based on the linear average amplitude spectrum of the vibration signal sample, a spectral peak frequency point of interest in a left half of the linear average amplitude spectrum, and determining, based on a preset serialization bandwidth, a serialization bandpass frequency band corresponding to each spectral peak frequency point of interest, comprises: Determining a linear average amplitude spectrum of the vibration signal sample through Fourier transformation, and determining the amplitude corresponding to each frequency point of the left half part of the linear average amplitude spectrum; determining a set of interesting spectral peak frequency points based on a comparison result of the normalized amplitude of each spectral peak frequency point and a preset threshold value; And determining a serialization band-pass frequency band corresponding to the current interested spectral peak frequency point based on the preset serialization bandwidth aiming at any interested spectral peak frequency point in the interested spectral peak frequency point set.
4. The method of claim 1, wherein said determining an effective value fluctuation frequency approximation coefficient based on said band pass signal and said beat frequency comprises: Calculating a short-time effective value sequence of the band-pass signal by using a sliding window method; Performing Fourier transform on the short-time effective value sequence to obtain a short-time effective value sequence amplitude spectrum; Determining a first high-spectrum peak and a second Gao Pufeng based on peak characteristic values and amplitudes of all frequency points in the short-time effective value sequence amplitude spectrum, and determining approximate centroid spectrum peak frequencies based on the first high-spectrum peak and the second Gao Pu peak; And determining an effective value fluctuation frequency approximation coefficient based on the approximate centroid spectrum peak frequency and the beat frequency.
5. The method of claim 4, wherein determining a calculation of the effective value fluctuation frequency approximation coefficient comprises: Wherein, the For the effective value fluctuation frequency approximation coefficient, For the beat frequency, the vibration frequency is the same as the beat frequency, Is the approximate centroid spectral peak frequency.
6. The method of claim 1, wherein determining a calculation of the approximate centroid spectral peak frequency comprises: Wherein, the To approximate the centroid spectrum peak frequency, For the frequency of the first high-spectrum peak, For the amplitude of the first high spectral peak, At the frequency of the second Gao Pu peak, Is the magnitude of the second Gao Pufeng.
7. The utility model provides a building structure beats vibration detection's vibration source frequency positioner which characterized in that includes: The beat vibration frequency determining module is used for determining whether beat vibration phenomenon exists or not and determining beat vibration frequency based on the time domain waveform of the vibration signal sample; the serialization band-pass frequency band determining module is used for determining interesting spectral peak frequency points at the left half part of the linear average amplitude spectrum based on the linear average amplitude spectrum of the vibration signal sample, and determining serialization band-pass frequency bands corresponding to all interesting spectral peak frequency points based on a preset serialization bandwidth; The band-pass signal determining module is used for carrying out band-pass filtering processing on the vibration signal sample based on the serialized band-pass frequency bands corresponding to the interested spectral peak frequency points to obtain band-pass sub-signals; and the beat vibration source frequency determining module is used for determining an effective value fluctuation frequency approximate coefficient based on the band-pass signal and the beat vibration frequency, and taking a frequency band with the highest effective value fluctuation frequency approximate coefficient as the frequency band where the beat vibration source frequency is located.
8. An electronic device, comprising: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the method of any one of claims 1 to 6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, realizes the steps of the method according to any one of claims 1 to 6.

Description

Vibration source frequency positioning method for building structure beat vibration detection and electronic equipment Technical Field The present disclosure relates to the field of building structure vibration detection analysis, and in particular, to a method, apparatus, storage medium, electronic device, and computer program product for positioning a vibration source frequency for building structure beat vibration detection. Background In workshops using vibration equipment such as coal preparation plants and stone factories, the vibration of the equipment can be transmitted to building structures such as floors and upright posts, and the vibration of the building structures is caused. If vibration excited by two devices cannot be effectively isolated, and the frequencies of the two devices are relatively close, the building structure is subjected to beat vibration, on one hand, the coupling amplitude possibly exceeds the design standard, and on the other hand, due to the ultra-low fluctuation frequency of the beat vibration phenomenon, the physiological and psychological health of an operator can be seriously influenced. Therefore, it is necessary to accurately detect whether or not beat vibration occurs, and to try to locate the vibration distance frequency of the beat vibration, thereby confirming the vibration distance equipment, and providing a foundation for taking appropriate measures for vibration reduction and vibration isolation. The basic principle of beat vibration is that when signals are overlapped, the superposition of wave crests and wave crests is enhanced, the superposition of wave crests and wave troughs is attenuated, the amplitude of a coupling signal shows periodic change, and the changing frequency is the difference between the frequencies of two vibration sources. When the frequency difference of the signals is small, the amplitude of the coupled signal shows obvious periodic fluctuation, and the fluctuation frequency is the difference of the frequencies of the two signals. Under ideal conditions, the test signal only consists of ideal harmonic signals with stable frequency amplitude, and as long as the test signal is long enough and the frequency spectrum resolution of Fourier transformation is high enough, the nearest spectral peak in the frequency spectrum is the frequency of the vibration source signal. However, in industrial sites, the excitation frequency of the device may slightly fluctuate over time due to the effects of voltage fluctuations and load fluctuations, so that in the fourier transform spectrum, a single vibration source is not a single spectral peak, but there is often a side spectral peak. Under such complex practical conditions, the conventional frequency domain observation method cannot effectively determine whether a spectral peak beside a certain spectral peak is from other vibration sources or a side spectral peak of the same vibration source, which results in that the frequency of the vibration source of beat vibration is more difficult to locate. Disclosure of Invention In view of this, it is an object of the present invention to provide at least a vibration source frequency positioning method, apparatus, storage medium, electronic device and computer program product for beat vibration detection of a building structure, which address the drawbacks existing in the related art as described above. By combining various information of time domain and frequency, the characteristic value which can represent the possibility of beat vibration in each narrowband frequency band is obtained, and then the vibration source frequency is accurately positioned from the complex vibration detection signal. In order to solve the above technical problems, at least one embodiment of the present application provides a vibration source frequency positioning method for detecting beat vibration of a building structure, the method comprising: Judging whether a beat vibration phenomenon exists or not and determining beat vibration frequency based on a time domain waveform of a vibration signal sample, wherein the vibration signal sample comprises vibration signals corresponding to a plurality of data acquisition points; Determining interesting spectral peak frequency points of the left half part of the linear average amplitude spectrum based on the linear average amplitude spectrum of the vibration signal sample, and determining a serialization band-pass frequency band corresponding to each interesting spectral peak frequency point based on a preset serialization bandwidth; Carrying out band-pass filtering processing on the vibration signal sample based on a serial band-pass frequency band corresponding to each interested spectral peak frequency point to obtain a band-pass sub-signal; And determining an effective value fluctuation frequency approximate coefficient based on the band-pass sub-signal and the beat vibration frequency, and taking a frequency band with the highest effec