Piezoelectric torque signal high-speed processing system for 60GHz radio frequency transmission

Abstract

The invention discloses a piezoelectric torque signal high-speed processing system for 60GHz radio frequency transmission, relates to the technical field of torque signal processing, and aims to solve the problem that the accuracy of subsequent signal processing is easily influenced by interference in the prior art. The system comprises a piezoelectric torque sensor, a signal preprocessing module, a 60GHz radio frequency transmitting module, a 60GHz radio frequency receiving module, a high-speed signal processing module and a result output module. The piezoelectric torque sensor is used for collecting a torque signal in an industrial environment and transmitting the torque signal to the signal preprocessing module; the signal preprocessing module filters and amplifies the collected torque signal and then sends the torque signal to the 60GHz radio frequency emission module; and the 60 GHz radio frequency transmitting module is used for transmitting the pre-processed signal in the form of a 60 GHz radio frequency signal. The torque signal processing method has the advantage of improving the torque signal processing accuracy.

Description

Technical Field

[0001] This invention relates to the field of torque signal processing technology, and more specifically, to a high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission. Background Technology

[0002] In the fields of industrial automation, intelligent manufacturing, and heavy equipment, torque signal is one of the core parameters reflecting the operating status of equipment.

[0003] Whether it's a key component like a motor, gearbox, or drive shaft, torque variations directly affect the equipment's load capacity, energy efficiency, and failure risk. For example, in wind turbine generators, abnormal fluctuations in drive shaft torque may indicate gear wear or blade imbalance. In precision machine tool machining, the stability of spindle torque directly impacts machining accuracy. Therefore, real-time and accurate acquisition and processing of torque signals are fundamental to achieving industrial equipment condition monitoring, fault warning, and intelligent control.

[0004] However, in industrial settings, the environment is complex, and the raw signals acquired by piezoelectric torque sensors are often contaminated with high-frequency noise, low-frequency drift, and other interference. Traditional technologies often employ fixed-parameter filtering and amplification circuits, which are susceptible to interference affecting the accuracy of subsequent signal processing. Therefore, we propose a high-speed piezoelectric torque signal processing system using 60GHz radio frequency transmission. Summary of the Invention

[0005] The purpose of this invention is to provide a high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission, which aims to solve the problem that interference can easily affect the accuracy of subsequent signal processing in the prior art.

[0006] To solve the above technical problems, the present invention provides the following technical solution: a high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission, the system comprising a piezoelectric torque sensor, a signal preprocessing module, a 60GHz radio frequency transmitting module, a 60GHz radio frequency receiving module, a high-speed signal processing module, and a result output module;

[0007] The piezoelectric torque sensor is used to collect torque signals in the industrial environment and transmit them to the signal preprocessing module;

[0008] The signal preprocessing module filters and amplifies the acquired torque signal before sending it to the 60GHz radio frequency transmission module.

[0009] The 60GHz radio frequency transmission module transmits the preprocessed signal in the form of a 60GHz radio frequency signal.

[0010] The 60GHz radio frequency receiving module receives the signal transmitted by the 60GHz radio frequency transmitting module and converts it into an electrical signal for transmission to the high-speed signal processing module.

[0011] The high-speed signal processing module uses digital signal processing algorithms to process the received electrical signal, extract torque signal features, and transmit them to the result output module.

[0012] The result output module is used to output the processed torque signal characteristic results.

[0013] Preferably, the signal preprocessing module includes a low-pass filter, a high-pass filter, and a programmable gain amplifier. The low-pass filter is used to filter out high-frequency noise in the torque signal, the high-pass filter is used to filter out low-frequency interference in the torque signal, and the programmable gain amplifier is used to automatically adjust the amplification factor according to the signal strength.

[0014] Preferably, the 60GHz RF transmitting module uses a millimeter-wave RF chip with a data transmission rate of 10Gbps to achieve high-speed signal transmission. The 60GHz RF receiving module also uses a millimeter-wave RF chip, which is matched with the 60GHz RF transmitting module to ensure stable signal reception.

[0015] Preferably, the digital signal processing algorithm used in the high-speed signal processing module includes a wavelet transform algorithm and an adaptive filtering algorithm, wherein;

[0016] Wavelet transform algorithm is used to quickly decompose torque signal and extract effective feature components from torque signal;

[0017] Adaptive filtering algorithms are used to eliminate noise interference in complex industrial environments, thereby deeply optimizing torque signals and improving the accuracy of torque signal processing.

[0018] Preferably, the 60GHz radio frequency transmitting module and the 60GHz radio frequency receiving module adopt an encrypted transmission protocol, and the encryption key is updated every 10 minutes to ensure the security of signal transmission.

[0019] Preferably, the result output module includes an Ethernet interface, an RS485 interface, and an analog output interface.

[0020] Preferably, it also includes a data storage module, which is used to store the processed torque signal characteristic results in real time.

[0021] Preferably, the result output module further includes a wireless transmission unit for remotely transmitting the processed torque signal characteristic results.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] 1. This invention utilizes the synergistic effect of low-pass and high-pass filters in the signal preprocessing module to specifically filter out high-frequency noise and low-frequency interference in torque signals. Simultaneously, the programmable gain amplifier can automatically adjust the amplification factor according to the signal strength, avoiding information loss due to weak signals or distortion due to strong signals. Combined with the wavelet transform algorithm with time-frequency feature capture capability and the adaptive filtering algorithm with real-time coefficient updates in the high-speed signal processing module, this invention can deeply optimize torque signals in complex industrial environments, reduce the impact of interference on subsequent processing, and significantly improve the accuracy of signal processing.

[0024] 2. This invention uses a 60GHz RF transmitting module and a 60GHz RF receiving module with matched millimeter-wave RF chips to ensure stable signal reception and conversion, reduce signal attenuation or distortion during transmission, and at the same time, encrypts the transmission protocol and updates the encryption key every 10 minutes to prevent the signal from being maliciously interfered with, stolen or tampered with during transmission, ensuring the signal integrity of the transmission link and avoiding deviations in subsequent processing results due to transmission interference. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the system architecture of the present invention. Detailed Implementation

[0026] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0027] Example 1

[0028] like Figure 1 As shown, a high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission is disclosed. The system includes a piezoelectric torque sensor, a signal preprocessing module, a 60GHz radio frequency transmitting module, a 60GHz radio frequency receiving module, a high-speed signal processing module, and a result output module.

[0029] Piezoelectric torque sensors are used to collect torque signals in industrial environments and transmit them to a signal preprocessing module to directly acquire the raw torque signals of industrial equipment, providing basic data for subsequent processing.

[0030] The signal preprocessing module filters and amplifies the acquired torque signal before sending it to the 60GHz radio frequency transmission module. This achieves the goal of removing noise and interference through filtering, amplifying weak signals, improving the signal-to-noise ratio, and providing a high-quality signal source for subsequent radio frequency transmission and high-speed processing, thus avoiding processing errors caused by poor original signal quality.

[0031] The 60GHz radio frequency transmission module transmits the pre-processed signal in the form of a 60GHz radio frequency signal to achieve high-speed signal transmission, meet the real-time requirements of torque signals in industrial scenarios, and adapt to complex industrial environments.

[0032] The 60GHz RF receiver module receives the signal transmitted by the 60GHz RF transmitter module and converts it into an electrical signal for transmission to the high-speed signal processing module. This ensures matching with the 60GHz RF transmitter module, stable signal reception and conversion, and accurate restoration of the RF signal to an electrical signal, providing reliable input for subsequent processing.

[0033] The high-speed signal processing module uses digital signal processing algorithms to process the received electrical signals, extract torque signal features, and transmit them to the result output module. This enables precise extraction of torque features through deep signal optimization, transforming the raw signal into effective information and providing data support for industrial equipment condition monitoring.

[0034] The result output module is used to output the processed torque signal characteristic results, so as to output the processed torque signal characteristic results in a form that is adapted to the industrial system, which facilitates subsequent equipment control, status analysis or alarm response, and realizes the ultimate application value of signal processing.

[0035] Furthermore, the signal preprocessing module includes a low-pass filter, a high-pass filter, and a programmable gain amplifier. The low-pass filter is used to filter out high-frequency noise in the torque signal, the high-pass filter is used to filter out low-frequency interference in the torque signal, and the programmable gain amplifier is used to automatically adjust the amplification factor according to the signal strength, so as to realize the synergistic effect of the low-pass and high-pass filters, and to specifically eliminate interference in different frequency bands. The programmable gain amplifier avoids information loss due to weak signals or distortion due to strong signals, thus comprehensively improving the preprocessing effect.

[0036] Furthermore, the 60GHz RF transmitting module uses a millimeter-wave RF chip with a data transmission rate of 10Gbps to achieve high-speed signal transmission. The 60GHz RF receiving module also uses a millimeter-wave RF chip, which is matched with the 60GHz RF transmitting module to ensure stable signal reception, thereby ensuring real-time transmission of torque signals without delay and meeting the timeliness requirements of industrial dynamic torque monitoring.

[0037] Furthermore, the high-speed signal processing module employs digital signal processing algorithms including wavelet transform and adaptive filtering algorithms, among which;

[0038] Wavelet transform algorithm is used to quickly decompose torque signals and extract effective feature components from them. This process includes:

[0039] First, the torque signal is decomposed using wavelet transform. Let the torque signal be... (in Indicates the amplitude of the torque signal. (representing a time variable), its wavelet transform expression is: This formula will convert the original torque signal Decomposed into different time-frequency scales, through scale factors Translation factor The adjustment can simultaneously capture the characteristics of the signal at different frequency bands and time points, thereby initially separating the useful information and noise contained in the torque signal, laying the foundation for subsequent noise suppression. This is a scaling factor (used to control the stretching or compression of wavelet basis functions). This is the translation factor (used to control the translation of the wavelet basis functions on the time axis). These are wavelet basis functions (fundamental functions used for signal decomposition). for The conjugate function (the conjugate form of a complex function), It represents the integral operation from negative infinity to positive infinity;

[0040] To achieve precise noise suppression, a dynamic threshold function is introduced after decomposition for coefficient selection. The dynamic threshold function is: The function's purpose is to determine the different decomposition levels. To determine a suitable threshold based on the noise situation, a threshold is used to distinguish between the useful signal components and noise components in the wavelet transform coefficients, where... For the first The threshold of the layer, This is an adjustment coefficient (used to adjust the threshold size). For the first The noise standard deviation of the layer decomposition coefficients (reflecting the degree of noise dispersion) is obtained by... The calculation, based on the median of the wavelet transform coefficients, estimates the standard deviation of the noise, providing a basis for determining the dynamic threshold (wherein...). This indicates the operation of taking the median. (Represents the absolute value of the wavelet transform coefficients);

[0041] Based on the above dynamic threshold, the decomposed coefficients are processed, when... When, retain this coefficient, that is

[0042] (in (representing the processed wavelet transform coefficients), when When this occurs, it is identified as a noise component and its value is set to zero. This step uses a threshold to eliminate coefficients identified as noise and retains useful signal coefficients, thereby suppressing noise.

[0043] Finally, the signal is reconstructed using inverse wavelet transform to recover the denoised torque signal. The inverse wavelet transform formula is as follows: This formula will use the wavelet transform coefficients after thresholding. Recombining the signals yielded a torque signal with most of the noise eliminated. This makes it more reflective of the actual torque situation (among which) This represents the reconstructed torque signal. (This represents a double integral over the scaling factor and translation factor);

[0044] This allows for the simultaneous capture of the time and frequency characteristics of a signal using wavelet transform. The dynamic threshold is adaptively adjusted according to the noise characteristics of different decomposition layers, accurately distinguishing useful signals from noise. After reconstruction, efficient noise reduction is achieved while preserving the key characteristics of the torque signal.

[0045] Adaptive filtering algorithms are used to eliminate noise interference in complex industrial environments, thereby deeply optimizing torque signals and improving the accuracy of torque signal processing. This process includes:

[0046] First, calculate the filtered output using the following formula: This formula utilizes the current filter coefficients. Delayed samples of the input signal Perform weighted summation to obtain the filtered output. This output is an estimate of the desired signal, where For the first Filtered output at time t, For discrete-time variables, Indicates from arrive Summation operation, For the first The first iteration Each filter coefficient For the input signal at the th Delayed samples at time points This refers to the filter order (the number of filter coefficients).

[0047] Next, the error signal is calculated based on the filtered output and the desired signal, using the following formula: This formula will calculate the filtered output. With expected signal The difference between them, this error signal This reflects the inaccuracy of the current filter output and serves as the basis for subsequent adjustments to the filter coefficients. For the first Error signal at time, For the first The desired signal at time (an ideal, noise-free signal);

[0048] Finally, the filter coefficients are updated based on the error signal to achieve adaptive adjustment. The coefficient update formula is as follows: This formula is based on the error signal. Delayed samples of the input signal This is done by adjusting the filter coefficients to make the next filtered output closer to the desired signal, thereby continuously adapting to noise changes in complex industrial environments and improving the filtering effect. For the first The first iteration Each filter coefficient This is the step size factor (controlling the rate of coefficient updates), which is dynamically adjusted based on the signal-to-noise ratio.

[0049] This allows for real-time error calculation and dynamic updating of filter coefficients, continuously adapting to changes in noise in the industrial environment, deeply optimizing torque signals, and further improving processing accuracy.

[0050] Furthermore, an encrypted transmission protocol is used between the 60GHz RF transmitting module and the 60GHz RF receiving module, and the encryption key is updated every 10 minutes to ensure the security of signal transmission. This is to prevent the signal from being stolen or tampered with during transmission by using the encryption protocol, and to reduce the risk of key leakage by regularly updating the key, thus ensuring the security of industrial torque signal transmission.

[0051] Furthermore, the output module includes Ethernet, RS485, and analog output interfaces to enable multi-interface adaptation to different industrial systems, improve system compatibility, and ensure seamless integration of processing results into various industrial control or monitoring platforms.

[0052] Furthermore, it also includes a data storage module, which is used to store the processed torque signal characteristic results in real time, so as to retain historical data for trend analysis, fault tracing or algorithm optimization, provide data support for preventive maintenance of industrial equipment, and improve the system's decision support capabilities.

[0053] Furthermore, the output module also includes a wireless transmission unit for remotely transmitting the processed torque signal characteristic results, so as to enable managers to remotely monitor the torque status of the equipment in real time and improve the intelligent management level of the industrial system.

[0054] The embodiments disclosed in this invention are preferred embodiments, but are not limited thereto. Those skilled in the art can easily understand the spirit of this invention based on the above embodiments and make different extensions and variations, but as long as they do not depart from the spirit of this invention, they are all within the protection scope of this invention.

Claims

1. A high-speed processing system for piezoelectric torque signals transmitted via 60GHz radio frequency, characterized in that, The system includes a piezoelectric torque sensor, a signal preprocessing module, a 60GHz radio frequency transmitting module, a 60GHz radio frequency receiving module, a high-speed signal processing module, and a result output module; The piezoelectric torque sensor is used to collect torque signals in the industrial environment and transmit them to the signal preprocessing module; The signal preprocessing module filters and amplifies the acquired torque signal before sending it to the 60GHz radio frequency transmission module. The 60GHz radio frequency transmission module transmits the preprocessed signal in the form of a 60GHz radio frequency signal. The 60GHz radio frequency receiving module receives the signal transmitted by the 60GHz radio frequency transmitting module and converts it into an electrical signal for transmission to the high-speed signal processing module. The high-speed signal processing module uses digital signal processing algorithms to process the received electrical signal, extract torque signal features, and transmit them to the result output module. The result output module is used to output the processed torque signal characteristic results.

2. The high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission according to claim 1, characterized in that, The signal preprocessing module includes a low-pass filter, a high-pass filter, and a programmable gain amplifier. The low-pass filter is used to filter out high-frequency noise in the torque signal, the high-pass filter is used to filter out low-frequency interference in the torque signal, and the programmable gain amplifier is used to automatically adjust the amplification factor according to the signal strength.

3. The high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission according to claim 1, characterized in that, The 60GHz RF transmitting module uses a millimeter-wave RF chip with a data transmission rate of 10Gbps to achieve high-speed signal transmission. The 60GHz RF receiving module also uses a millimeter-wave RF chip and is matched with the 60GHz RF transmitting module to ensure stable signal reception.

4. The high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission according to claim 1, characterized in that, The high-speed signal processing module employs digital signal processing algorithms including wavelet transform algorithm and adaptive filtering algorithm, wherein; Wavelet transform algorithm is used to quickly decompose torque signal and extract effective feature components from torque signal; Adaptive filtering algorithms are used to eliminate noise interference in complex industrial environments, thereby deeply optimizing torque signals and improving the accuracy of torque signal processing.

5. The high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission according to claim 1, characterized in that, The 60GHz radio frequency transmitting module and the 60GHz radio frequency receiving module use an encrypted transmission protocol, and the encryption key is updated every 10 minutes to ensure the security of signal transmission.

6. The high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission according to claim 1, characterized in that, The result output module includes an Ethernet interface, an RS485 interface, and an analog output interface.

7. The high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission according to claim 1, characterized in that, It also includes a data storage module, which is used to store the processed torque signal characteristic results in real time.

8. The high-speed processing system for piezoelectric torque signals with 60GHz radio frequency transmission according to claim 6, characterized in that, The result output module also includes a wireless transmission unit for remotely transmitting the processed torque signal characteristic results.

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