Adjustment Method and Adjustment System for an Eddy Current Sensor

Abstract

The present invention discloses an adjustment method and an adjustment system for an eddy current sensor, which relates to the technical field of the adjustment of eddy current sensors. The present invention includes a data acquisition module, a feature extraction module, a parameter calculation module, and an adjustment execution module. By collecting output signals and combining standard parameters, the present invention performs multi-dimensional feature extraction, calculates adjustment parameters, and then precisely adjusts the gain and frequency of the sensor, which can adapt to measured objects with different characteristics, effectively improve measurement accuracy, and reduce errors. The sampling frequency of the data acquisition device can be preset according to the characteristics of the object, enhancing applicability. A display module is provided to facilitate users to monitor and analyze the data and parameters of each link in real time, which is conducive to controlling the measurement situation. There is also a communication module to realize communication with external devices, facilitating further data processing and storage, and being beneficial to expanding applications. Overall, the invention realizes the intelligent adjustment of eddy current sensors, meeting the higher requirements for high-precision measurement and data management at present.

Description

Technical Field

[0001] The present invention relates to the technical field of eddy current sensor adjustment, and specifically relates to an adjustment method and an adjustment system for an eddy current sensor. Background Art

[0002] As a non-contact high-precision sensor, the eddy current sensor has a wide range of applications in many fields such as industrial production, mechanical manufacturing, and aerospace. For example, it plays a key role in the measurement of shaft vibration and displacement of rotating machinery, the detection of metal sheet thickness, and material identification.

[0003] In actual application scenarios, the measured objects have the characteristics of diversity and complexity. Different measured objects have significant differences in physical properties, motion states, working environments, etc. For example, when measuring rotating shafts with different speeds, factors such as the rotation frequency of the shaft, surface material, and dimensional specifications will all affect the measurement accuracy of the eddy current sensor. Moreover, even for the same type of measured object, under different working conditions, such as temperature changes and electromagnetic interference environments, its influence on the sensor measurement is also different.

[0004] When traditional eddy current sensors are installed and used, fixed parameter settings are often adopted, such as fixed gain and measurement frequency. This fixed parameter setting is difficult to adapt to various complex and changeable measured objects and working conditions. When facing measured objects with different characteristics, due to unreasonable gain settings of the sensor, the output signal may be too weak or too strong, unable to accurately reflect the true state of the measured object; and when the measurement frequency does not match the motion frequency of the measured object, it will cause distortion of measurement data, increased errors, and even measurement failure. For example, when measuring a rotating shaft part at high speed, if the measurement frequency of the sensor is too low, according to the sampling theorem, the real-time state information of the shaft cannot be accurately obtained, resulting in serious deviation of the measurement result and unable to meet the requirements of high-precision measurement in industrial production.

[0005] Therefore, it is particularly urgent and necessary to develop an adjustment method and system for an eddy current sensor that can automatically adjust parameters according to the characteristics of the measured object and has good data interaction functions. Summary of the Invention

[0006] The purpose of the present invention is to provide an adjustment method and an adjustment system for an eddy current sensor, which solve the technical problems proposed in the background art.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] An adjustment method for an eddy current sensor includes the following steps:

[0009] Step 1: Data acquisition

[0010] Connect the eddy current sensor to the data acquisition device, start the eddy current sensor to measure the object to be measured, collect the output signal of the eddy current sensor in the initial set state, and simultaneously obtain the known standard parameter values of the object to be measured;

[0011] Step Two: Feature Extraction

[0012] Perform multi-dimensional feature extraction on the output signal sequence and obtain multiple feature values;

[0013] Step Three: Parameter Analysis

[0014] Calculate the corresponding adjustment parameters according to the multiple feature values extracted by the features and the known standard parameter values, and it includes: gain adjustment coefficient and frequency adjustment coefficient;

[0015] Step Four: Adjustment Execution

[0016] Send the calculated gain adjustment coefficient G j and frequency adjustment coefficient FC to the control center of the eddy current sensor, and then the control center performs adjustment execution on the sensor.

[0017] As a further solution of the present invention: In the data acquisition step, according to the time trend, form the output signals into an output signal sequence and denote it as {S i}, i = 1, 2,... n, where n is the pre-set number of acquisition sample points; S i represents the output signal value corresponding to the i-th sample point in the time series;

[0018] At the same time, mark the known standard parameter values of the object to be measured as P j , j = 1, 2,... m, where m is the number of standard parameters corresponding to different attributes of the eddy current sensor.

[0019] As a further solution of the present invention: In the data acquisition step, the sampling frequency of the data acquisition device can be pre-set according to the characteristics of the object to be measured, and the setting range of the sampling frequency is determined according to the motion frequency range and measurement accuracy requirements of the object to be measured.

[0020] As a further solution of the present invention: The multi-dimensional feature extraction method is as follows:

[0021] StepA1: Mean Feature Extraction of Output Signals:

[0022] Calculate the mean value of the output signal sequence {S i};

[0023] StepA2: Standard Deviation Feature Extraction of Output Signals:

[0024] Calculate the standard deviation of the output signal sequence {S iThe standard deviation of;

[0025] Step A3, Output signal peak feature extraction:

[0026] Extract the peak value of the output signal from the output signal sequence {S i};

[0027] Step A4, Output signal frequency feature extraction:

[0028] First, perform a fast Fourier transform on the output signal sequence {S i} to obtain the spectrum of the output signal, and denote it as {F t}, where t = 1, 2,..., k, and k is the number of frequency points of the spectrum;

[0029] Subsequently, take the frequency corresponding to the maximum amplitude in the spectrum as the main frequency feature of the output signal.

[0030] As a further solution of the present invention: Use a dedicated digital signal processor or a microcontroller with data processing functions to calculate the mean value, standard deviation, and peak value corresponding to the output signal sequence {S i};

[0031] As a further solution of the present invention: The calculation method of the gain adjustment coefficient is as follows:

[0032] By: Calculate the gain adjustment coefficient G corresponding to different attributes of the eddy current sensor j ;

[0033] In the formula, Sp represents the mean value of the output signal sequence {S i}, Sb represents the standard deviation of the output signal sequence {S i}, and Smax represents the peak value of the output signal in the output signal sequence {S i};

[0034] As a further solution of the present invention: The calculation method of the frequency adjustment coefficient is as follows:

[0035] By: Calculate the frequency adjustment coefficient FC of the eddy current sensor;

[0036] In the formula, F0 is the ideal measurement frequency pre-calculated according to the standard parameters of the measured object, and Fmax represents the frequency corresponding to the maximum amplitude in the spectrum.

[0037] As a further solution of the present invention: The adjustment execution method is as follows:

[0038] Step C1, The control center adjusts the gain of the corresponding attribute of the sensor according to the gain adjustment coefficient, and the adjustment formula is: ;

[0039] In the formula, G old，j is the current gain value of the corresponding attribute of the sensor, and G new，j is the adjusted gain value;

[0040] Step C2. The control center adjusts the measurement frequency of the sensor according to the frequency adjustment coefficient. The adjustment formula is: ;

[0041] In the formula, F old is the current measurement frequency of the sensor, and F new is the adjusted measurement frequency.

[0042] An adjustment system for an eddy current sensor, which is used to implement an adjustment method for an eddy current sensor. The system includes:

[0043] Data acquisition module: used to connect the eddy current sensor to the data acquisition device, acquire the output signal sequence of the sensor and the standard parameter value of the measured object, and transmit the acquired data to the feature extraction module;

[0044] Feature extraction module: used to receive the data transmitted by the data acquisition module, calculate the mean, standard deviation, peak value and frequency characteristics of the output signal sequence, and transmit these characteristic values to the parameter calculation module;

[0045] Parameter calculation module: used to calculate the gain adjustment coefficient and frequency adjustment coefficient according to the characteristic values transmitted by the feature extraction module and the known standard parameter values, and transmit the calculation results to the adjustment execution module;

[0046] Adjustment execution module: used to receive the adjustment coefficients transmitted by the parameter calculation module and adjust the gain and frequency of the eddy current sensor.

[0047] As a further solution of the present invention: An adjustment system for an eddy current sensor further includes:

[0048] Display module, used to display the data acquired by the data acquisition module, the characteristic values calculated by the feature extraction module, the adjustment coefficients calculated by the parameter calculation module, and the sensor parameters adjusted by the adjustment execution module, so as to facilitate user monitoring and analysis.

[0049] As a further solution of the present invention: An adjustment system for an eddy current sensor further includes:

[0050] Communication module, used to realize data communication with external devices, and can transmit the acquired data, calculation results, etc. to a remote monitoring center or database for further processing or storage.

[0051] Advantages of the present invention:

[0052] The present invention improves measurement accuracy: By extracting multi-dimensional features from the output signal of the eddy current sensor, including mean value, standard deviation, peak value, and frequency features, etc., and combining the known standard parameter values of the object to be measured to calculate the gain adjustment coefficient and frequency adjustment coefficient, and then precisely adjusting the gain and measurement frequency of the sensor, so that the sensor can better adapt to the actual situation of the object to be measured, effectively reducing measurement errors, improving measurement accuracy, and more precisely obtaining the relevant parameters of the object to be measured.

[0053] Adapting to the characteristics of various objects to be measured: The sampling frequency of the data acquisition device can be preset according to the characteristics of the object to be measured, and its setting range is determined according to the motion frequency range and measurement accuracy requirements of the object to be measured. This enables the adjustment method and system to flexibly adapt to objects to be measured with various characteristics such as different motion frequencies and different accuracy requirements, enhancing its applicability and versatility.

[0054] Facilitating monitoring and analysis: A display module is set up, which can intuitively display the data collected by the data acquisition module, the characteristic values calculated by the feature extraction module, the adjustment coefficients calculated by the parameter calculation module, and the sensor parameters adjusted by the adjustment execution module, facilitating users to monitor the entire adjustment process and the changes in sensor-related parameters in real time, and also contributing to subsequent in-depth analysis and summary, promptly discovering potential problems and taking corresponding measures.

[0055] Beneficial for data sharing and further processing: Equipped with a communication module, it can achieve data communication with external devices, and can transmit the collected data, calculation results, etc. to a remote monitoring center or other relevant devices for further processing or storage, facilitating data integration, sharing, and carrying out more complex subsequent operations, such as remote centralized management and big data analysis, expanding the application value of the adjustment system in a wider range of scenarios.

[0056] Automated and intelligent adjustment: The entire adjustment process is automatically completed through the orderly cooperation of each module in the system, from data acquisition, feature extraction, parameter calculation to adjustment execution, etc., reducing the manual intervention link, improving the adjustment efficiency, achieving relatively intelligent adjustment of the eddy current sensor, and enhancing the overall work efficiency and convenience. Brief Description of the Drawings

[0057] The present invention will be further described below with reference to the drawings.

[0058] Figure 1 It is a system block diagram of an adjustment system for an eddy current sensor of the present invention.

[0059] Figure 2 It is a schematic flowchart of an adjustment method for an eddy current sensor of the present invention. Detailed Embodiments

[0060] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0061] Embodiment 1

[0062] Please refer to Figure 2 As shown, the present invention is a method for adjusting an eddy current sensor, including the following steps:

[0063] Step 1. Data acquisition

[0064] First, construct a stable and reliable connection link, closely connect the eddy current sensor with a professional data acquisition device to ensure the stability and accuracy of signal transmission;

[0065] Subsequently, officially start the eddy current sensor to make it enter the working state, and accurately measure the pre-selected measured object;

[0066] During this process, use the data acquisition device to collect the output signal sequence of the eddy current sensor in the initial set state, and denote it as {S i}, i = 1, 2,..., n, where n is the pre-set number of acquisition sample points; S i represents the output signal value corresponding to the i-th sample point in the time series;

[0067] At the same time, through the standard parameter acquisition channels related to the measured object, accurately obtain the known standard parameter values of the measured object, and denote them as P j , j = 1, 2,..., m, where m is the number of standard parameters of different attributes corresponding to the eddy current sensor;

[0068] In this embodiment, taking the measurement of shaft parts as an example, when j = 1, P j represents the standard diameter value of the shaft, and this value is crucial for calculating the distance relationship between the sensor and the shaft surface in the subsequent calculation; when j = 2, P j is the standard rotational speed value of the shaft, and its matching adjustment with the sensor measurement frequency is closely related, etc. These known standard parameter values provide an indispensable reference basis for the subsequent precise adjustment calculation;

[0069] Step 2. Feature extraction

[0070] StepA1. Extraction of the mean feature of the output signal:

[0071] Calculate the output signal sequence {S i}mean;

[0072] The calculation formula is: ;

[0073] Where Sp represents the output signal sequence {S i}mean;

[0074] In this embodiment, the mean value can reflect the average amplitude of the signal sequence at the overall level and is an important indicator for measuring the central tendency of the signal;

[0075] For example, in the vibration measurement of shaft parts, if the mean value changes significantly, it may indicate that the overall operating state of the shaft is abnormal or that the initial gain setting of the sensor is unreasonable;

[0076] StepA2: Output signal standard deviation feature extraction:

[0077] Calculate the output signal sequence {S i}Standard deviation;

[0078] The calculation formula is: ;

[0079] Where Sb represents the output signal sequence {S i}Standard deviation;

[0080] In this embodiment, the standard deviation is used to characterize the degree of dispersion of the signal sequence relative to the mean. The larger the standard deviation, the more drastic the fluctuation amplitude of the signal, which may be due to unstable vibration of the measured object or the existence of external interference factors. In eddy current sensor measurement, the standard deviation can help determine the stability of the measurement environment and the sensitivity of the sensor to small changes.

[0081] StepA3: Output signal peak feature extraction:

[0082] From the output signal sequence {S i} extract the peak value of the output signal;

[0083] The calculation formula is: ;

[0084] Where Smax represents the output signal sequence {S i}The peak value of the output signal;

[0085] In this embodiment, the peak value represents the maximum amplitude value in the signal sequence;

[0086] For example, in the displacement measurement of shaft parts, the peak value may correspond to the maximum displacement position of the shaft. By comparing with the stroke range of the shaft in the standard parameters, etc., it can be preliminarily judged whether the measurement range of the sensor is appropriate and whether the gain needs to be adjusted;

[0087] Step Three: Parameter Analysis

[0088] Calculate the gain adjustment coefficient based on the multiple eigenvalue features extracted and the known standard parameter values;

[0089] The specific method is as follows:

[0090] By: ;

[0091] Calculate the gain adjustment coefficient G corresponding to different attributes of the eddy current sensor j ;

[0092] In this embodiment, when the value of j is 1, The ratio of is understood to adjust the gain according to the relationship between the standard shaft diameter and the peak value of the actual measurement signal, so that the sensor can measure the size of the shaft more accurately; The ratio of further considers the relationship between the signal dispersion degree and the average level, and comprehensively optimizes the gain setting;

[0093] For example, if is larger, it indicates that the actual measurement signal is relatively smaller than the signal corresponding to the standard shaft diameter, and the gain may need to be increased; while if is larger, it means that the signal fluctuates greatly, and the gain may need to be adjusted appropriately to balance the signal stability and sensitivity.

[0094] Step Four: Adjustment Execution

[0095] Send the calculated gain adjustment coefficient G j to the control center of the eddy current sensor, and then the control center performs adjustment execution on the sensor;

[0096] The specific method is as follows:

[0097] The control center adjusts the gain of the corresponding attribute of the sensor according to the gain adjustment coefficient, and the adjustment formula is: ;

[0098] In the formula, G old，j is the current gain value of the corresponding attribute of the sensor, and G new，j is the adjusted gain value;

[0099] In this embodiment, in this way, the gain of the sensor can be accurately adjusted according to the gain adjustment coefficient calculated previously, so that it can adapt to the characteristics of the measured object and the requirements of the measurement environment.

[0100] In this embodiment, by collecting the output signal of the eddy current sensor in the initial set state and combining it with the standard parameter values of the object to be measured, multi-dimensional feature extraction and gain adjustment coefficient calculation are carried out. Subsequently, according to the calculation results, the gain of the corresponding attributes of the sensor is adjusted, which can make the sensor better adapt to the characteristics of the object to be measured, reduce the measurement error caused by unreasonable initial settings and other factors, and improve the measurement accuracy. For example, in different measurement scenarios of shaft parts, the gain can be optimized based on relevant features to ensure the measurement accuracy; the extraction of eigenvalue such as the mean value, standard deviation, and peak value of the output signal not only serves the gain adjustment, but also can reflect some situations in the measurement process. For example, the change in the mean value can imply the operating state of the shaft or the problem of the sensor gain setting, and the standard deviation can reflect the stability of the measurement environment and the sensitivity of the sensor, which helps to detect potential problems in time and conduct targeted processing.

[0101] Embodiment Two

[0102] As Embodiment Two of the present invention, in the specific implementation of this application, compared with Embodiment One, the difference between the technical solution of this embodiment and that of Embodiment One is only that in this embodiment,

[0103] the feature extraction step further includes the extraction of the output signal frequency feature:

[0104] First, perform a fast Fourier transform on the output signal sequence {S i}, to obtain the spectrum of the output signal, and denote it as {F t}, where t = 1, 2,... k, and k is the number of frequency points of the spectrum;

[0105] Subsequently, take the frequency corresponding to the maximum amplitude in the spectrum as the main frequency feature of the output signal, and denote it as Fmax;

[0106] In this embodiment, in the rotational measurement of shaft parts, there is a close relationship between Fmax and the rotational frequency of the shaft. If the two do not match, it may lead to inaccurate measurement data. Therefore, it is necessary to adjust the measurement frequency of the sensor according to information such as the rotational speed of the shaft in the standard parameters;

[0107] The parameter analysis step also calculates the frequency adjustment coefficient according to the main frequency feature value extracted by the feature extraction;

[0108] The specific method is as follows:

[0109] By: ;

[0110] calculate the frequency adjustment coefficient FC of the eddy current sensor;

[0111] In the formula, F0 is the ideal measurement frequency pre-calculated according to the standard parameters of the object to be measured;

[0112] In this embodiment, for the rotational measurement of shaft parts, F0 is closely related to the rotational speeds of the F0 and Fmax axes and the sampling theorem required for measurement;

[0113] For example, according to the sampling theorem, the sampling frequency should be at least twice the highest frequency of the measured signal. In the rotational measurement of a shaft, F0 can be calculated based on the rotational speed of the shaft. If F0 does not match, the measurement frequency of the sensor is adjusted through a frequency adjustment coefficient to ensure the accuracy and integrity of the measurement data;

[0114] The adjustment execution is also used to send the calculated frequency adjustment coefficient FC to the control center of the eddy current sensor, and then the control center performs adjustment execution on the sensor;

[0115] The specific method is as follows:

[0116] The control center adjusts the measurement frequency of the sensor according to the frequency adjustment coefficient, and the adjustment formula is: ;

[0117] In the formula, F old is the current measurement frequency of the sensor, and F new is the adjusted measurement frequency;

[0118] In this embodiment, this can ensure that the measurement frequency of the sensor matches the actual motion frequency or characteristic frequency of the measured object, thereby improving the accuracy and reliability of the measurement.

[0119] This embodiment adds an output signal frequency feature extraction and corresponding frequency adjustment coefficient calculation and execution link on the basis of Embodiment 1. In scenarios such as the rotational measurement of shaft parts, according to the comparison between standard parameters such as the rotational speed of the shaft and the frequency characteristics actually measured, the measurement frequency of the sensor can be accurately adjusted through the frequency adjustment coefficient to ensure that it matches the actual motion frequency of the measured object, thereby further improving the accuracy and integrity of the measurement data. Especially for measured objects with rotational characteristics, adjusting considering frequency factors enables the sensor to better adapt to the measurement requirements of such objects and expands the applicability of the sensor in different types of measurement scenarios.

[0120] Embodiment 3

[0121] As Embodiment 3 of the present invention, when this application is specifically implemented, compared with Embodiment 1 and Embodiment 2, the technical solution of this embodiment is to combine and implement the solutions of the above Embodiment 1 and Embodiment 2;

[0122] Please refer to Figure 1As shown, in this embodiment, the present invention also provides an adjustment system for an eddy current sensor, which is used to implement an adjustment method for an eddy current sensor. The system includes:

[0123] A data acquisition module, which undertakes the important responsibility of building a physical connection and a data transmission channel between the eddy current sensor and the data acquisition device;

[0124] Its interface circuit can ensure that the weak signal output by the sensor can be accurately received and converted by the data acquisition device;

[0125] During data acquisition, in strict accordance with the preset sampling frequency and number of sampling points, the output signal sequence of the sensor is efficiently acquired, and at the same time, through a dedicated communication interface or data reading line, the standard parameter values of the measured object are accurately obtained;

[0126] These richly acquired data will be transmitted to the feature extraction module in a timely and stable manner, laying a solid foundation for subsequent data analysis and processing;

[0127] A feature extraction module, which is one of the core data processing units of the entire adjustment system. Its main function is to receive the massive amount of raw data transmitted by the data acquisition module;

[0128] Subsequently, according to the pre-written and optimized algorithm program, the mean value, standard deviation, peak value, and frequency characteristics of the signal sequence are accurately calculated;

[0129] During the calculation process, a high-performance digital signal processing chip or a dedicated calculation unit is fully utilized to ensure the accuracy and efficiency of the calculation. These key characteristic values calculated will be quickly transmitted to the parameter calculation module, providing indispensable data support for subsequent adjustment parameter calculation;

[0130] A parameter calculation module, whose main task is to accurately calculate the gain adjustment coefficient and the frequency adjustment coefficient according to the rich characteristic values transmitted by the feature extraction module and the known standard parameter values, in accordance with the established, scientific and reasonable parameter calculation algorithm formula;

[0131] During the calculation process, various standard parameters of the measured object and various characteristics of the sensor output signal are comprehensively considered, and through complex and rigorous mathematical operations and logical judgments, the most appropriate adjustment coefficient is obtained. After the calculation is completed, these key adjustment coefficients are transmitted to the adjustment execution module in a timely manner to drive subsequent adjustment actions;

[0132] An adjustment execution module, which is the final execution module of the control center. The adjustment execution module is responsible for receiving the accurate adjustment coefficients transmitted by the parameter calculation module;

[0133] Once these coefficients are received, the gain and frequency adjustment procedures for the eddy current sensor are immediately initiated;

[0134] In terms of gain adjustment, strictly in accordance with the formula, a high-precision gain adjustment circuit is used to precisely adjust the gain of the sensor;

[0135] In terms of frequency adjustment, based on the formula, through advanced frequency synthesis technology or a frequency adjustment circuit, the measurement frequency of the sensor is accurately adjusted;

[0136] Through this series of operations, precise adjustment of the eddy current sensor is achieved, enabling it to perform high-precision measurement work on measured objects with different characteristics in a complex and changing measurement environment;

[0137] This embodiment integrates the solutions of Embodiment 1 and Embodiment 2, covering a complete process from data acquisition, multi-dimensional feature extraction to the calculation of gain adjustment coefficients, frequency adjustment coefficients, and the corresponding adjustment execution. Through the collaborative work of each module, comprehensively considering various standard parameters of the measured object and various characteristics of the sensor output signal, the eddy current sensor can be comprehensively and precisely adjusted, enabling high-precision measurement for measured objects with different characteristics in a complex and changing measurement environment; each module has a clear division of labor. The data acquisition module can accurately collect and transmit data, the feature extraction module uses a high-performance processing chip, etc. to ensure accurate and efficient calculation of feature values, the parameter calculation module rigorously calculates appropriate adjustment coefficients, and the adjustment execution module precisely adjusts, overall ensuring the reliable and orderly progress of the adjustment process.

[0138] Embodiment 4

[0139] As Embodiment 4 of the present invention, in the specific implementation of this application, compared with the adjustment system of an eddy current sensor provided in Embodiment 3, the difference between this embodiment and Embodiment 3 is only that an adjustment system of an eddy current sensor further includes:

[0140] A display module, used to display the data collected by the data acquisition module, the feature values calculated by the feature extraction module, the adjustment coefficients calculated by the parameter calculation module, and the sensor parameters adjusted by the adjustment execution module, so as to facilitate user monitoring and analysis.

[0141] A communication module, used to realize data communication with external devices, and can transmit the collected data, calculation results, etc. to a remote monitoring center or other relevant devices for further processing or storage.

[0142] The added display module in this embodiment can visually present the data and parameters in each stage of data acquisition, feature extraction, parameter calculation, and adjustment execution, facilitating users to grasp the sensor adjustment process and the changes in relevant parameters in real time, making it easy to detect abnormalities in a timely manner, analyze the adjustment effect, and contribute to better control of the measurement work; the communication module realizes data communication with external devices, and can transmit the collected data, calculation results, etc. to a remote monitoring center or other relevant devices, facilitating further processing, storage, and data integration and sharing, laying a foundation for subsequent extended application scenarios such as big data analysis and remote centralized management and control, and enhancing the overall usage value of the system.

[0143] Embodiment Five

[0144] As Embodiment Five of the present invention, in the specific implementation of this application, compared with Embodiment One, Embodiment Two, Embodiment Three, and Embodiment Four, the technical solution of this embodiment lies in combining the solutions of the above-mentioned Embodiment One, Embodiment Two, Embodiment Three, and Embodiment Four for implementation.

[0145] This embodiment combines the solutions of the previous embodiments for implementation, possessing all the beneficial effects such as improving measurement accuracy, optimizing measurement frequency matching, achieving comprehensive precise adjustment, facilitating monitoring and analysis, and facilitating data sharing and extended applications, forming an overall eddy current sensor adjustment solution with complete functions, strong applicability, capable of efficiently handling various complex measurement requirements, and convenient for management and expansion, maximizing the functional advantages of each part and ensuring the implementation of high-quality measurement work.

[0146] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by software simulation of a large amount of collected data to get a formula closest to the actual situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0147] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claimed rights.

Claims

1. A method for adjusting an eddy current sensor, characterized in that It includes the following steps: Data acquisition: Connect the eddy current sensor to the data acquisition device, start the eddy current sensor to measure the object to be measured, collect the output signal of the eddy current sensor in the initial set state, and simultaneously obtain the known standard parameter values of the object to be measured; Feature extraction: According to the time trend, form the output signal into an output signal sequence, perform multi-dimensional feature extraction on the output signal sequence, and obtain the output signal mean feature, output signal standard deviation feature, output signal peak feature, and output signal frequency feature; Parameter analysis: Calculate the corresponding adjustment parameters based on the multiple feature values extracted in the feature extraction step and the known standard parameter values; the adjustment parameters obtained in the parameter analysis step include: gain adjustment coefficient and frequency adjustment coefficient; At the same time, mark the known standard parameter value of the object under test as P j , where j = 1, 2,..., m, and m is the number of standard parameters of different attributes corresponding to the eddy current sensor. Through , calculate the gain adjustment coefficient G of the eddy current sensor corresponding to different attributes j ; where Sp is the mean feature of the output signal, Sb is the standard deviation feature of the output signal, and Smax is the peak feature of the output signal Through , the frequency adjustment coefficient FC of the eddy current sensor is calculated; where F0 is the ideal measurement frequency pre-calculated according to the standard parameters of the measured object, and Fmax is the frequency characteristic of the output signal. Adjustment execution: Send the calculated gain adjustment coefficient and frequency adjustment coefficient to the control center of the eddy current sensor, and then the control center adjusts the gain and frequency of the eddy current sensor respectively.

2. The adjustment method of an eddy current sensor according to claim 1, characterized in that, The output signals are formed into an output signal sequence denoted as {S i}, where i = 1, 2, ……, n, and n is the pre-set number of acquisition sample points; S i represents the output signal value corresponding to the i-th sample point in the time series.

3. The adjustment method of an eddy current sensor according to claim 2, characterized in that The multi-dimensional feature extraction method is as follows: The method for extracting the mean feature of the output signal is: calculate the mean of the output signal sequence {S i}; The method for extracting the standard deviation feature of the output signal is as follows: calculate the standard deviation of the output signal sequence {S i}; The method for extracting the peak feature of the output signal is as follows: extract the peak of the output signal from the output signal sequence {S i}; The method for extracting the frequency characteristics of the output signal is as follows: First, perform a fast Fourier transform on the output signal sequence {S i}, to obtain the spectrum of the output signal, and denote it as {F t}, where t = 1, 2, …… k, and k is the number of frequency points of the spectrum; Subsequently, take the frequency corresponding to the maximum amplitude in the spectrum as the main frequency feature of the output signal.

4. The adjustment method of an eddy current sensor according to claim 1, characterized in that The adjustment execution method is as follows: Step C1. The control center adjusts the gain of the corresponding attribute of the sensor according to the gain adjustment coefficient, and the adjustment formula is: , where G old，j is the current gain value of the corresponding attribute of the sensor, and G new，j is the adjusted gain value; Step C2. The control center adjusts the measurement frequency of the sensor according to the frequency adjustment coefficient, and the adjustment formula is: , where F old is the current measurement frequency of the sensor, and F new is the adjusted measurement frequency.

5. An adjustment system for an eddy current sensor, which is used to implement the adjustment method of an eddy current sensor according to any one of claims 1-4, characterized in that, The system includes: Data acquisition module: Used to connect the eddy current sensor to the data acquisition device, collect the output signal sequence of the sensor and the standard parameter values of the object to be measured, and transmit the collected data to the feature extraction module; Feature extraction module: Used to receive the data transmitted by the data acquisition module, and calculate the mean, standard deviation, peak value, and frequency feature of the output signal sequence, and transmit these feature values to the parameter calculation module; Parameter calculation module: Used to calculate the gain adjustment coefficient and frequency adjustment coefficient based on the feature values transmitted by the feature extraction module and the known standard parameter values, and transmit the calculation results to the adjustment execution module; Adjustment execution module: Used to receive the gain adjustment coefficient and frequency adjustment coefficient transmitted by the parameter calculation module, and adjust the gain and frequency of the eddy current sensor respectively.

6. The adjustment system of an eddy current sensor according to claim 5, characterized in that, It also includes: Display module: Used to display the data collected by the data acquisition module, the feature values calculated by the feature extraction module, the adjustment coefficients calculated by the parameter calculation module, and the sensor parameters adjusted by the adjustment execution module.

7. The adjustment system of an eddy current sensor according to claim 5, characterized in that, It also includes: Communication module: Used for data communication with external devices, and transmit the collected data and calculation results to the remote monitoring center or database for processing or storage.

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