A method and system for processing fan speed information

Abstract

The application discloses a kind of processing methods of fan rotating speed information, it includes: obtaining the acceleration value of multiple measuring points of fan shaft. Circumferential multiple measuring points are arranged along the axial direction of the output shaft of fan. Fast Fourier transform multiple measuring points of acceleration value, obtain the frequency domain signal of acceleration value. By a kind of setting acquisition frequency, a kind of setting acquisition measuring point number and a kind of setting integral algorithm coefficient formula, integral calculation acceleration value of frequency domain signal, obtain the frequency domain signal of corresponding speed value. Inverse fast Fourier transform speed value of frequency domain signal, obtain the time domain data of speed value. According to the frequency domain signal of speed value, obtain the operation condition information of fan by waveform analysis.The processing method of fan rotating speed information in the application can accurately obtain low-frequency acquisition information by setting integral coefficient, thereby ensuring the accuracy and comprehensiveness of fan state monitoring.

Description

Technical Field

[0001] This invention relates to the field of electric motors. Specifically, it relates to a method and system for processing fan speed information, applicable to the operation and maintenance of electric motors. Background Technology

[0002] In metallurgical, chemical, and machinery industries, the vibration of rotating machinery needs to be measured, and accelerometers are commonly used. Accelerometers offer advantages such as high reliability, wide measurable bandwidth, compact size, and strong anti-interference capabilities. To simultaneously analyze the waveforms of acceleration, velocity, and displacement, current technology allows for the simultaneous installation of three types of sensors to acquire these signals. However, this method is costly and lacks flexibility. Typically, the integral relationship between acceleration, velocity, and displacement is utilized. Integrating the acceleration signal once yields the velocity signal, and integrating the velocity signal again yields the displacement signal. However, if the traditional integration formula (1 / 2πf)*1000 is used during software integration, the amplitude of the integrated low-frequency signal tends towards infinity, making it impossible to reconstruct the low-frequency components. Summary of the Invention

[0003] The purpose of this invention is to provide a method for processing wind turbine speed information, which can accurately acquire low-frequency information by setting an integral coefficient, thereby ensuring the accuracy and comprehensiveness of wind turbine status monitoring.

[0004] The purpose of this invention is to provide a wind turbine speed information processing system that can accurately acquire low-frequency information by setting an integral coefficient, thereby ensuring the accuracy and comprehensiveness of wind turbine status monitoring, remotely storing the acquired data, and improving the reliability and sharing of data.

[0005] One aspect of the present invention provides a method for processing wind turbine speed information, comprising:

[0006] Step S101: Obtain the acceleration values ​​of multiple measuring points on the fan shaft. Multiple circumferential measuring points are set along the axial direction of the fan's output shaft.

[0007] Step S102: Perform a fast Fourier transform on the acceleration values ​​at multiple measurement points to obtain the frequency domain signal of the acceleration values.

[0008] Step S103: By setting a sampling frequency, a number of sampling points, and a set integral algorithm coefficient formula, the frequency domain signal of the acceleration value is calculated by integration, and the frequency domain signal of the corresponding velocity value is obtained.

[0009] Step S104: Perform an inverse fast Fourier transform on the frequency domain signal of the velocity value to obtain the time domain data of the velocity value.

[0010] Step S105: Obtain the operating status information of the fan by waveform analysis based on the frequency domain signal of the speed value.

[0011] In another embodiment of the wind turbine speed information processing method of the present invention, step S101 includes:

[0012] Acceleration values ​​at multiple axial measurement points of the fan are obtained using an accelerometer.

[0013] In another embodiment of the wind turbine speed information processing method of the present invention, step S103 sets the acquisition frequency to 2560 and the number of acquisition points to 2048. The formula for the integral algorithm coefficient is Formula 1:

[0014]

[0015] Where f is the frequency, and j is the imaginary unit.

[0016] In another embodiment of the wind turbine speed information processing method of the present invention, step S101 further includes: uploading and saving the acceleration values ​​of multiple measuring points on the wind turbine shaft to the system database. The system database is set locally or remotely.

[0017] In another embodiment of the wind turbine speed information processing method of the present invention, step S102 further includes: obtaining acceleration values ​​of multiple measuring points from the system database.

[0018] In another embodiment of the wind turbine speed information processing method of the present invention, step S102 further includes:

[0019] Determine whether the frequency domain signal of the acceleration value is a low-frequency signal. If yes, continue to step S103. If no, obtain the frequency domain signal of the corresponding velocity value through step S103, or calculate the frequency domain signal of the acceleration value by integrating using a first set acquisition frequency, a first set number of acquisition points, and a set first integration algorithm coefficient formula, and obtain the frequency domain signal of the corresponding velocity value.

[0020] In another embodiment of the wind turbine speed information processing method of the present invention, the first set acquisition frequency is 2560, and the first set number of acquisition points is 2048. The first integral algorithm coefficient formula is Formula 2:

[0021]

[0022] Where f is the frequency, and j is the imaginary unit.

[0023] In another embodiment of the wind turbine speed information processing method of the present invention, step S105 includes: step S1051, obtaining X-axis and Y-axis data of the speed signal based on the frequency domain signal of the speed value.

[0024] Step S1052: Obtain the operating status information of the fan by analyzing the X-axis and Y-axis data of the waveform speed signal.

[0025] Another aspect of the present invention provides a system for processing wind turbine speed information, comprising:

[0026] A local endpoint, configured as follows:

[0027] Acquire acceleration values ​​at multiple measuring points on the fan shaft. Multiple circumferential measuring points are set along the axial direction of the fan's output shaft.

[0028] The acceleration values ​​at multiple measurement points are obtained by fast Fourier transform, and the frequency domain signal of the acceleration values ​​is obtained.

[0029] By setting a sampling frequency, a number of sampling points, and a set integral algorithm coefficient formula, the frequency domain signal of the acceleration value is calculated by integration, and the frequency domain signal of the corresponding velocity value is obtained.

[0030] The frequency domain signal of the velocity value is obtained by inverse fast Fourier transform, and the time domain data of the velocity value is obtained.

[0031] The operating status information of the fan is obtained by waveform analysis based on the frequency domain signal of the velocity value.

[0032] In another embodiment of the wind turbine speed information processing system of the present invention, it further includes: a remote data processing terminal, which includes a system database. The local terminal is also configured to:

[0033] The acceleration values ​​from multiple measuring points on the wind turbine shaft are uploaded to a remote data processing terminal. Upon receiving the acceleration values ​​from these points, the remote data processing terminal stores them in the system database.

[0034] The following text will further explain the characteristics, technical features, advantages, and implementation methods of the wireless terminal data monitoring method in a clear and easy-to-understand manner, with the aid of accompanying figures. Attached Figure Description

[0035] Figure 1 This is a flowchart illustrating a method for processing fan speed information in one embodiment of the present invention.

[0036] Figure 2 This is a schematic diagram illustrating frequency domain waveform data in one embodiment of the present invention.

[0037] Figure 3 This is a schematic diagram illustrating the display of the X and Y axes in the frequency domain in one embodiment of the present invention. Detailed Implementation

[0038] To provide a clearer understanding of the technical features, objectives, and effects of the invention, specific embodiments of the invention are now described with reference to the accompanying drawings. In the drawings, the same reference numerals indicate components with the same or similar structures but the same function.

[0039] In this document, "illustrative" means "serving as an example, illustration, or description," and any illustrations or embodiments described herein as "illustrative" should not be construed as a more preferred or advantageous technical solution. For the sake of brevity, each figure only schematically shows the parts relevant to this exemplary embodiment, and they do not represent the actual structure or true proportions of the product.

[0040] One aspect of the present invention provides a method for processing fan speed information, such as... Figure 1 As shown, it includes:

[0041] Step S101: Obtain the acceleration values ​​of multiple measuring points on the fan shaft.

[0042] In this step, the acceleration values ​​of multiple measuring points on the fan shaft are acquired. Multiple circumferential measuring points are set along the axial direction of the fan's output shaft. Acceleration data at measuring point X on the fan's axial direction is collected by hardware sensors and uploaded to the software database; its frequency domain waveform data, such as... Figure 2 As shown.

[0043] Step S102: Obtain the frequency domain signal of the acceleration value.

[0044] In this step, the acceleration values ​​at multiple measurement points are subjected to Fast Fourier Transform to obtain the frequency domain signal of the acceleration values.

[0045] Step S103: Obtain the frequency domain signal of the corresponding speed value.

[0046] In this step, the frequency domain signal of the acceleration value is calculated by integrating the acceleration value using a set sampling frequency, a set number of sampling points, and a set integral algorithm coefficient formula, thereby obtaining the frequency domain signal of the corresponding velocity value.

[0047] Step S104: Obtain the time domain data of the velocity value.

[0048] In this step, the frequency domain signal of the velocity value is obtained by inverse fast Fourier transform, and the time domain data of the velocity value is obtained.

[0049] Step S105: Obtain the operating status information of the fan.

[0050] In this step, the operating status information of the fan is obtained through waveform analysis based on the frequency domain signal of the speed value.

[0051] In another embodiment of the wind turbine speed information processing method of the present invention, step S101 includes:

[0052] Acceleration values ​​at multiple axial measurement points of the fan are obtained using an accelerometer.

[0053] In another embodiment of the wind turbine speed information processing method of the present invention, step S103 sets the acquisition frequency to 2560 and the number of acquisition points to 2048. The formula for the integral algorithm coefficient is Formula 1:

[0054]

[0055] Where f is the frequency, and j is the imaginary unit.

[0056] In another embodiment of the wind turbine speed information processing method of the present invention, step S101 further includes: uploading and saving the acceleration values ​​of multiple measuring points on the wind turbine shaft to the system database. The system database is set locally or remotely.

[0057] In another embodiment of the wind turbine speed information processing method of the present invention, step S102 further includes: obtaining acceleration values ​​of multiple measuring points from the system database.

[0058] In another embodiment of the wind turbine speed information processing method of the present invention, step S102 further includes:

[0059] Determine whether the frequency domain signal of the acceleration value is a low-frequency signal. If yes, continue to step S103. If no, obtain the frequency domain signal of the corresponding velocity value through step S103, or calculate the frequency domain signal of the acceleration value by integrating using a first set acquisition frequency, a first set number of acquisition points, and a set first integration algorithm coefficient formula, and obtain the frequency domain signal of the corresponding velocity value.

[0060] In another embodiment of the wind turbine speed information processing method of the present invention, the first set acquisition frequency is 2560, and the first set number of acquisition points is 2048. The first integral algorithm coefficient formula is Formula 2:

[0061]

[0062] Where f is the frequency, and j is the imaginary unit.

[0063] In another embodiment of the wind turbine speed information processing method of the present invention, step S105 includes: step S1051, obtaining X-axis and Y-axis data of the speed signal based on the frequency domain signal of the speed value.

[0064] Step S1052: Obtain the operating status information of the fan by analyzing the X-axis and Y-axis data of the waveform speed signal. Figure 3 It is a schematic diagram of the frequency domain X-axis and Y-axis display spectrum.

[0065] Another aspect of the present invention provides a system for processing wind turbine speed information, comprising:

[0066] A local endpoint, configured as follows:

[0067] Acquire acceleration values ​​at multiple measuring points on the fan shaft. Multiple circumferential measuring points are set along the axial direction of the fan's output shaft.

[0068] The acceleration values ​​at multiple measurement points are obtained by fast Fourier transform, and the frequency domain signal of the acceleration values ​​is obtained.

[0069] By setting a sampling frequency, a number of sampling points, and a set integral algorithm coefficient formula, the frequency domain signal of the acceleration value is calculated by integration, and the frequency domain signal of the corresponding velocity value is obtained.

[0070] The frequency domain signal of the velocity value is obtained by inverse fast Fourier transform, and the time domain data of the velocity value is obtained.

[0071] The operating status information of the fan is obtained by waveform analysis based on the frequency domain signal of the velocity value.

[0072] In another embodiment of the wind turbine speed information processing system of the present invention, it further includes: a remote data processing terminal, which includes a system database. The local terminal is also configured to:

[0073] The acceleration values ​​from multiple measuring points on the wind turbine shaft are uploaded to a remote data processing terminal. Upon receiving the acceleration values ​​from these points, the remote data processing terminal stores them in the system database.

[0074] It should be understood that although this specification describes various embodiments, not every embodiment contains only one independent technical solution. This way of describing the specification is only for clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

[0075] The detailed descriptions listed above are merely specific descriptions of feasible embodiments of the present invention, and are not intended to limit the scope of protection of the present invention. All equivalent embodiments or modifications made without departing from the spirit of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for processing fan speed information, characterized in that, It includes: Step S101: Obtain the acceleration values ​​of multiple measuring points on the fan shaft; Multiple axial measuring points are arranged along the axial direction of the output shaft of the fan; Step S102: Perform a fast Fourier transform on the acceleration values ​​at the multiple measurement points to obtain the frequency domain signal of the acceleration values; Step S103: By setting a sampling frequency, a number of sampling points, and a set integral algorithm coefficient formula, the frequency domain signal of the acceleration value is calculated by integration, and the frequency domain signal of the corresponding velocity value is obtained. Step S104: Perform an inverse fast Fourier transform on the frequency domain signal of the velocity value to obtain the time domain data of the velocity value; Step S105: Obtain the operating status information of the fan by waveform analysis based on the time-domain signal of the speed value; In step S103 The set acquisition frequency is 2560, the set number of acquisition points is 2048; the set integral algorithm coefficient formula is Formula 1: Integral algorithm coefficients = Formula 1 Where: f is the frequency; j is the imaginary unit.

2. The method for processing fan speed information according to claim 1, characterized in that, Step S101 includes: The acceleration values ​​of the fan at multiple axial measuring points are obtained using an accelerometer.

3. The method for processing fan speed information according to claim 1, characterized in that, Step S101 further includes: The acceleration values ​​of multiple measuring points on the wind turbine shaft are uploaded and saved to the system database; the system database can be set locally or remotely.

4. The method for processing fan speed information according to claim 3, characterized in that, Step S102 further includes: obtaining the acceleration values ​​of the plurality of measuring points from the system database.

5. The method for processing fan speed information according to claim 1, characterized in that, Step S102 also includes: Determine whether the frequency domain signal of the acceleration value is a low-frequency signal. If yes, continue to step S103. If no, obtain the frequency domain signal of the corresponding velocity value through step S103, or calculate the frequency domain signal of the acceleration value by integrating using a first set acquisition frequency, a first set number of acquisition points, and a set first integration algorithm coefficient formula, and obtain the frequency domain signal of the corresponding velocity value.

6. The method for processing fan speed information according to claim 5, characterized in that, The first set sampling frequency is 2560, and the first set number of sampling points is 2048; the set formula for the first integral algorithm coefficient is Formula 2: First integral algorithm coefficient = Formula 2 Where f is the frequency and j is the imaginary unit.

7. A system for processing fan speed information, characterized in that, It includes: A local endpoint, configured as follows: The acceleration values ​​of multiple measuring points on the fan shaft are obtained; the multiple measuring points are arranged along the axial direction of the output shaft of the fan. The acceleration values ​​at the multiple measurement points are obtained by fast Fourier transform, and the frequency domain signal of the acceleration values ​​is obtained. By using a set sampling frequency, a set number of sampling points, and a set integration algorithm coefficient formula, the frequency domain signal of the acceleration value is calculated by integration, and the frequency domain signal of the corresponding velocity value is obtained. The set acquisition frequency is 2560, the set number of acquisition points is 2048; the set integral algorithm coefficient formula is Formula 1: Integral algorithm coefficients = Formula 1 Where: f is the frequency; j is the imaginary unit; The frequency domain signal of the velocity value is obtained by inverse fast Fourier transform; The operating status information of the fan is obtained by waveform analysis based on the frequency domain signal of the speed value.

8. The fan speed information processing system according to claim 7, characterized in that, It also includes: A remote data processing terminal, which includes a system database; The local terminal is also configured as follows: The acceleration values ​​of multiple measuring points on the fan shaft are uploaded to the remote data processing terminal. The remote data processing terminal receives the acceleration values ​​of multiple measuring points on the wind turbine shaft and stores them in the system database.

Images