Method for detecting change of capacitor core with high sensitivity

Abstract

The invention discloses a high-sensitivity capacitor core change detection method, and relates to the technical field of high-sensitivity capacitor core change detection, and the method comprises the steps: increasing the pressure applied to a diaphragm, recording the change condition of the capacitance value of a dual-electrode structure in real time, carrying out the zero calibration of the capacitance value of the dual-electrode structure under the condition of no external pressure, and carrying out the zero calibration of the capacitance value of the dual-electrode structure. The process is repeated under different environmental conditions, the self-adaptive compensation algorithm is trained through the capacitance value of the dual-electrode structure subjected to zero calibration, and the capacitance measurement value is calculated according to the change condition of the capacitance value of the dual-electrode structure recorded in real time in combination with the trained self-adaptive compensation algorithm. For an application scene requiring accurate data acquisition, the design reduces interference, improves the signal-to-noise ratio, combines a depth model, utilizes the advantages of a modern artificial intelligence technology, can quickly and accurately recognize a fine change trend, provides powerful support for subsequent maintenance decision, and improves the accuracy of the data acquisition. And the reliability of the whole monitoring system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of high-sensitivity detection of capacitance core changes, and particularly to a method for high-sensitivity detection of capacitance core changes. Background Art

[0002] In recent years, with the development of microelectromechanical system technology, capacitive sensors have been widely used in many fields such as environmental monitoring, industrial control, and biomedicine due to their advantages of high sensitivity, low power consumption, and easy integration. Especially in detecting changes in subtle physical quantities, the capacitance core has become a research hotspot because of its simple structure and fast response. With the increasingly complex application scenarios, researchers have continuously explored new materials and manufacturing processes to improve the performance of the capacitance core, using sputtering deposition technology to form a metal electrode layer and ensuring precise control of the electrode spacing through precision machining technology.

[0003] Although the above progress has significantly improved the performance of the capacitance core, there are still some deficiencies in practical applications. Existing capacitance cores often show large errors when facing complex environmental conditions because the dielectric constant of the dielectric material changes with temperature and humidity, resulting in capacitance value drift and thus affecting the measurement accuracy. Summary of the Invention

[0004] In view of the existing problems mentioned above, the present invention is proposed.

[0005] Therefore, the present invention provides a method for high-sensitivity detection of capacitance core changes to solve the problem of detecting capacitance core changes with high sensitivity and stability in complex environments.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for high-sensitivity detection of capacitance core changes, which includes,

[0008] Selecting a ceramic material with good conductivity as the capacitance core substrate and manufacturing a double-electrode structure using microelectromechanical MEMS technology;

[0009] Installing the double-electrode structure on a pressure loading platform, configuring a controllable pressure source, gradually increasing the pressure applied to the diaphragm, and recording the change of the capacitance value of the double-electrode structure in real time;

[0010] Performing zero calibration on the capacitance value of the double-electrode structure without external pressure, repeating this process under different environmental conditions, and training the adaptive compensation algorithm with the capacitance value of the double-electrode structure after zero calibration;

[0011] Calculate the capacitance measurement value according to the change of the capacitance value of the double - electrode structure recorded in real - time and combined with the trained adaptive compensation algorithm;

[0012] Deeply analyze the capacitance measurement value, identify non - linear behavior, and adjust the Krange value according to the analysis result.

[0013] As a preferred solution of the method for highly sensitive detection of capacitance core body changes described in the present invention, wherein:

[0014] Select a ceramic material with good conductivity as the capacitance core body substrate, and use micro - electro - mechanical MEMS technology to manufacture the double - electrode structure. Specifically,

[0015] Select a ceramic material as the capacitance core body substrate, and use an ultrasonic cleaner in combination with an organic solvent to clean the ceramic substrate to remove surface impurities and contaminants;

[0016] The ceramic materials include silicon nitride and alumina;

[0017] Use micro - electro - mechanical technology to manufacture highly sensitive double - electrode structures C1 and C2, corresponding to different working distances d1 and d2 respectively;

[0018] Use precision machining technology to ensure that the initial gap d0 is as small as possible so that the capacitor will not break down due to too small a gap.

[0019] As a preferred solution of the method for highly sensitive detection of capacitance core body changes described in the present invention, wherein:

[0020] Install the double - electrode structure on the pressure loading platform and configure a controllable pressure source. Specifically,

[0021] Use a high - precision fixture to fix the double - electrode structure on the hydraulic pump platform, and configure a programmable pressure controller to set and adjust the pressure value;

[0022] Connect the pressure output port of the hydraulic pump to one side of the diaphragm of the double - electrode structure to ensure that the pressure can be evenly applied to the diaphragm surface;

[0023] Connect to a reference pressure source on the other side to form a differential pressure environment.

[0024] As a preferred solution of the method for highly sensitive detection of capacitance core body changes described in the present invention, wherein:

[0025] Gradually increase the pressure applied to the diaphragm and record the change of the capacitance value of the double - electrode structure in real - time. Specifically,

[0026] Use a programmable pressure controller to gradually apply the hydraulic pump pressure to the diaphragm of the double - electrode structure;

[0027] Connect the leads of the double - electrode structure to a high - precision capacitance measurement instrument, and connect the instrument to a data acquisition system XML Schema to capture the rapidly changing capacitance values of the double - electrode structure;

[0028] After each increase in pressure, wait for a few seconds for the data acquisition system XML Schema to stabilize, and record the changes in the current capacitance values C1 and C2 of the double - electrode structure.

[0029] As a preferred embodiment of the method for highly sensitive detection of capacitance core body changes according to the present invention, wherein:

[0030] Zero - point calibrate the capacitance value of the double - electrode structure without external pressure, and repeat this process under different environmental conditions. Specifically,

[0031] Record the capacitance values of C1 and C2 of the double - electrode structure without external pressure and calculate the zero - point compensation values of C1 and C2 of the double - electrode structure using the initial zero - point calibration;

[0032] Repeat the above zero - point calibration process under different temperature and humidity environments.

[0033] As a preferred embodiment of the method for highly sensitive detection of capacitance core body changes according to the present invention, wherein:

[0034] Train the capacitance values of the zero - point - calibrated double - electrode structure with an adaptive compensation algorithm. Specifically,

[0035] Clean and remove outliers from the zero - point - calibrated capacitance values CCP and CCN of the double - electrode structure, and pair the temperature and humidity with the corresponding capacitance values of C1 and C2 of the double - electrode structure to form a dataset available for training;

[0036] Select the support vector machine SVM model as the adaptive compensation algorithm, and input the training set into the support vector machine SVM model for training.

[0037] As a preferred embodiment of the method for highly sensitive detection of capacitance core body changes according to the present invention, wherein:

[0038] Calculate the capacitance measurement value according to the changes in the capacitance values of the double - electrode structure recorded in real - time in combination with the trained adaptive compensation algorithm. Specifically,

[0039] Use the trained support vector machine SVM model to calculate the corresponding compensation value according to the capacitance values of the hydraulic pump gradually increasing the pressure on C1 and C2 of the double - electrode structure and the current temperature and humidity;

[0040] Subtract the corresponding compensation value from the capacitance values of C1 and C2 of the double - electrode structure under the condition of gradually increasing pressure to obtain the final capacitance measurement value.

[0041] As a preferred solution of the method for highly sensitive detection of capacitance core body changes according to the present invention, wherein:

[0042] Deeply analyze the capacitance measurement values, identify non-linear behaviors, and adjust the Krange value according to the analysis results. Specifically,

[0043] Use multiple regression analysis technology to clean the collected capacitance measurement values and remove outliers, and identify non-linear behaviors in the capacitance measurement values;

[0044] Use a genetic algorithm to find the K_range value that minimizes the prediction error, and gradually adjust the K_range value through an iterative process.

[0045] In a second aspect, the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and wherein: when the computer program is executed by the processor, any step of the method for highly sensitive detection of capacitance core body changes as described in the first aspect of the present invention is implemented.

[0046] In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and wherein: when the computer program is executed by the processor, any step of the method for highly sensitive detection of capacitance core body changes as described in the first aspect of the present invention is implemented.

[0047] The beneficial effects of the present invention are as follows: The method for highly sensitive detection of capacitance core body changes provided by the present invention combines the innovative structure design of the capacitance core body constructed by ceramic materials, enabling the capacitance sensor to provide stable and accurate measurement results in a wider range of environments. Connecting the sealed capacitor unit to the signal processing circuit board through a coaxial cable to construct a complete capacitance sensor system. For application scenarios that require precise data acquisition, this compact design helps to reduce interference and improve the signal-to-noise ratio. Combining the application of a deep model and making full use of the advantages of modern artificial intelligence technology, it can quickly and accurately identify subtle change trends, providing strong support for subsequent maintenance decisions and greatly improving the reliability of the entire monitoring system. Description of the Drawings

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0049] Figure 1 It is a comparison flow chart of a conventional core body and a differential pressure core body in Embodiment 1.

[0050] Figure 2Schematic diagram for detecting changes in the high-sensitivity capacitive core in Embodiment 1.

[0051] Figure 3 Schematic diagram of the capacitance of the ceramic material affected by pressure in Embodiment 1.

[0052] Figure 4 Schematic diagram of capacitance data processing in Embodiment 1. Detailed implementation manners

[0053] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific implementation manners of the present invention will be given in conjunction with the drawings of the specification.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0055] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that exclude each other with other embodiments.

[0056] Embodiment 1, referring to Figures 1 to 4 , which is the first embodiment of the present invention. This embodiment provides a method for detecting changes in a high-sensitivity capacitive core, including the following steps:

[0057] S1. Select a ceramic material with good electrical conductivity as the capacitive core substrate, and use microelectromechanical MEMS technology to manufacture a double-electrode structure. Specifically,

[0058] The ceramic materials with good electrical conductivity include silicon nitride and alumina. As the capacitive core ceramic substrate, an organic solvent mixture with ceramic materials needs to be prepared. For example, the mixing ratio of acetone and isopropanol is 1:1. Put the ceramic substrate into an ultrasonic cleaner, pour in the pre-prepared cleaning solution, set the cleaning time to 10 minutes, control the temperature at room temperature, and set the ultrasonic frequency to 40 kHz to ensure that impurities can be effectively removed without damaging the substrate material. After cleaning, thoroughly rinse the ceramic substrate with deionized water, and then place it in an oven to ensure that the surface is completely dry without residual moisture.

[0059] Using CAD software to design a double - electrode structure, where C1 and C2 correspond to different working distances d1 and d2 respectively. To achieve high sensitivity, precision machining technology is used to finely tune the initial gap d0 between the electrodes to prevent dielectric breakdown. The entire double - electrode structure is sealed, and epoxy resin is used for wrapping to avoid damage caused by external humidity and dust. The expression of the linear relationship between capacitance and the double - electrode is as follows,

[0060]

[0061] where ΔC represents the change in capacitance, Δd is the change in the plate spacing, and C 0 is the initial capacitance value.

[0062] S2. Install the double - electrode structure onto the pressure - loading platform and configure a controllable pressure source. Specifically,

[0063] Use a fine - tuning mechanical fixture with a clamping force error not exceeding ±0.01 N to ensure that the double - electrode structure does not displace or deform during the test. Calibrate the programmable pressure controller using a standard pressure gauge. Connect the pressure controller to the standard pressure gauge and then gradually increase the pressure. Record the actual output pressure at different set values and perform fine - tuning.

[0064] Carefully place the pre - cleaned and preliminarily inspected double - electrode structure on the workbench of the fine - tuning mechanical fixture. Through the fine - tuning function of the fixture, slowly and evenly clamp the double - electrode structure to avoid any physical damage, ensure that the pressure applied by the fixture is evenly distributed, and prevent local stress concentration from causing deformation of the double - electrode structure. Fix the fine - tuning mechanical fixture on the hydraulic pump platform to ensure that the entire device is stable. Connect the pressure output port of the hydraulic pump to the diaphragm side of the double - electrode structure using a high - quality flexible high - pressure pipe. Use a special sealing washer at the contact point to eliminate leakage paths. Check whether all joints are tightly connected to prevent pressure loss. Connect the other side of the double - electrode structure to a stable reference pressure source such as atmospheric pressure and a constant air - pressure source to form a differential - pressure environment.

[0065] S3. Gradually increase the pressure applied to the diaphragm and record the change in the capacitance value of the double - electrode structure in real - time. Specifically,

[0066] Open the operation interface of the programmable pressure controller and input the initial parameters. For example, start from 0 and increase by 0.1 bar per step until the maximum working pressure is reached. Calibrate the actual pressure output of the pressure - controller output port using a standard pressure gauge.

[0067] Connect the pressure output port of the hydraulic pump to the input port of the pressure controller using a high-quality flexible high-pressure pipe. Check that all joints are tightly connected to prevent pressure loss and leakage. Connect the leads of the double-electrode structure to the input of a high-precision capacitance measuring instrument, ensuring a firm and non-loose connection to avoid data distortion caused by poor contact. Use a cable to connect the output port of the high-precision capacitance measuring instrument to the input port of the data acquisition system XML Schema, ensure that the data transmission path is unobstructed, and check that all interfaces are correctly connected.

[0068] Start the hydraulic pump and gradually increase the pressure through the pressure controller. According to the preset parameters, when first loading the pressure, start from 0 and increase by 0.1 bar per step until the maximum working pressure is reached. After each increase in pressure, wait for a few seconds to ensure that the system has enough time to stabilize.

[0069] After each increase in pressure and waiting for the system to stabilize, use the data acquisition system XML Schema to capture the changes in the capacitance values C1 and C2 of the current double-electrode structure and record them for subsequent analysis. To further improve the detection sensitivity, use the expression

[0070]

[0071] where c represents the change in capacitance due to the pressure change, d is the distance of the initial capacitance gap, and ∈0 represents the vacuum permittivity.

[0072] S4. Zero-calibrate the capacitance value of the double-electrode structure without external pressure and repeat this process under different environmental conditions. Specifically,

[0073] Place the double-electrode structure in a fine-tuning mechanical fixture to ensure that no external pressure is applied to the diaphragm. Connect the leads of the double-electrode structure to the high-precision capacitance measuring instrument and connect the instrument to the data acquisition system XML Schema. Record the capacitance values of C1 and C2 of the double-electrode structure, which are expressed as the reference capacitance values under the condition of no external pressure, and use the reference capacitance values and the zero-point correction method to calculate the zero-point compensation values of C1 and C2 of the double-electrode structure. The C1 compensation value is denoted as CCP, and the C2 compensation value is denoted as CCN.

[0074] Adjust the temperature to a new set value, such as 30 degrees Celsius, and keep the humidity constant under different temperature and humidity environments. Wait for at least 30 minutes to allow the environmental conditions to fully stabilize and repeat the above zero-calibration.

[0075] S5. Train the adaptive compensation algorithm with the zero-calibrated capacitance values of the double-electrode structure. Specifically,

[0076] Collect the zero - point compensation values CCP and CCN of the double - electrode structures C1 and C2, identify and remove outliers for cleaning using statistical methods, convert the cleaned zero - point compensation values into a standardized form with a mean of 0 and a standard deviation of 1, and pair them with the corresponding temperature and humidity to form a training set.

[0077] Use the support vector machine (SVM) model as an adaptive compensation algorithm. The SVM model can handle nonlinear problems well and can flexibly adapt to different data distribution situations through the selection of kernel functions. Input the constructed training set into the SVM model for training. During the training process, the SVM will find a hyperplane to separate samples of different classes while minimizing the classification error. Use the cross - validation method to evaluate the performance of the SVM model. Repeat the training process multiple times, using different partitioning methods each time, to evaluate the accuracy and stability of the SVM model.

[0078] S6. Calculate the capacitance measurement value according to the change of the capacitance value of the double - electrode structure recorded in real - time in combination with the trained adaptive compensation algorithm. Specifically,

[0079] After each pressure increase, use a high - precision capacitance measurement instrument to record the capacitance values of the double - electrode structures C1 and C2 and input them into the previously trained support vector machine (SVM) model. The SVM model will predict the corresponding C1 compensation value and C2 compensation value, which are learned based on the training set, to correct the deviation of the original capacitance measurement value of the double - electrode structure, thereby obtaining a more accurate result.

[0080] Subtract the zero - point correction compensation value of the double - electrode structure from the capacitance measurement value of the double - electrode structure under gradually increasing pressure to obtain the final capacitance measurement value corresponding to each pressure point, expressed as,

[0081]

[0082] where Cfinal represents the finally calculated capacitance value and Krange represents the range constant.

[0083] S7. Conduct an in - depth analysis of the capacitance measurement value, identify the nonlinear behavior, and adjust the Krange value according to the analysis results. Specifically,

[0084] Use multiple regression analysis techniques to identify and remove outliers, calculate the predicted values of each double - electrode structure according to the multiple regression model, calculate the difference between the actual value and the predicted value, draw a scatter plot of C1 and C2 changing with pressure, mark the changes in temperature and humidity in the figure, and observe whether there is an obvious nonlinear trend.

[0085] Use a genetic algorithm, including selection, crossover, and mutation operations. After each iteration, evaluate the performance of each individual in the population according to the fitness function, and select the best-performing individual to enter the next generation. Recalculate the capacitance measurement value using the optimized best K_range value and compare it with the original capacitance measurement value to check whether the new measurement value is closer to the theoretical value and the expected value.

[0086] This embodiment also provides a computer device applicable to the case of a method for highly sensitive detection of capacitance core body changes, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the method for highly sensitive detection of capacitance core body changes as proposed in the above embodiment.

[0087] The computer device may be a terminal. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, a touchpad, or a mouse, etc.

[0088] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements the method for highly sensitive detection of capacitance core body changes as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM for short), Electrically Erasable Programmable Read-Only Memory (EEPROM for short), Erasable Programmable Read Only Memory (EPROM for short), Programmable Red-Only Memory (PROM for short), Read-Only Memory (ROM for short), magnetic memory, flash memory, a magnetic disk, or an optical disc.

[0089] In summary, the present invention provides a method for detecting changes in a highly sensitive capacitive core. The innovative structural design of the capacitive core constructed by integrating nanocomposites enables the capacitive sensor to provide stable and accurate measurement results in a wider range of environments. By connecting the sealed capacitor unit to the signal processing circuit board through a coaxial cable, a complete capacitive sensor system is constructed. For application scenarios that require precise data acquisition, this compact design helps to reduce interference and improve the signal-to-noise ratio. Combining the use of a deep model and taking full advantage of the advantages of modern artificial intelligence technology, it can quickly and accurately identify subtle change trends, providing strong support for subsequent maintenance decisions and greatly improving the reliability of the entire monitoring system.

[0090] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for detecting changes in a capacitor core with high sensitivity, characterized in that: include: A ceramic material with good conductivity is selected as the capacitor core substrate, and a double-electrode structure is manufactured using micro-electromechanical (MEMS) technology. The dual-electrode structure is installed on a pressure loading platform, a controllable pressure source is configured, the pressure applied to the diaphragm is gradually increased, and the change in the capacitance value of the dual-electrode structure is recorded in real time; The capacitance value of the dual-electrode structure is zero-calibrated without external pressure, and this process is repeated under different environmental conditions. The capacitance value of the dual-electrode structure after zero-point calibration is used to train the adaptive compensation algorithm; The capacitance measurement value is calculated based on the real-time recording of the change in capacitance value of the dual-electrode structure combined with the trained adaptive compensation algorithm; Perform in-depth analysis of capacitance measurements to identify nonlinear behavior and adjust the Krange value based on the analysis results.

2. The method for detecting capacitor core changes with high sensitivity as claimed in claim 1, characterized in that: A ceramic material with good conductivity is selected as the capacitor core substrate, and the double-electrode structure is manufactured using micro-electromechanical (MEMS) technology. Specifically, Choose ceramic material as the capacitor core base and use an ultrasonic cleaner with organic solvent to clean the ceramic base to remove surface impurities and contaminants; The ceramic material includes silicon nitride and aluminum oxide; The micro-electromechanical technology is used to manufacture the dual-electrode structures C1 and C2 with high sensitivity, corresponding to different working distances d1 and d2 respectively; Precision machining techniques are used to ensure that the initial gap d0 is as small as possible so that the capacitor will not break down due to a gap that is too small.

3. The method for detecting changes in a capacitor core with high sensitivity as claimed in claim 2, characterized in that: Install the dual-electrode structure on a pressure loading platform and configure a controllable pressure source, specifically, Use a high-precision fixture to fix the dual-electrode structure to the hydraulic pump platform, and configure a programmable pressure controller to set and adjust the pressure value; Connect the pressure output port of the hydraulic pump to one side of the diaphragm of the double-electrode structure to ensure that the pressure can be evenly applied to the diaphragm surface; On the other side, it is connected to a reference pressure source to create a differential pressure environment.

4. The method for detecting changes in a capacitor core with high sensitivity as claimed in claim 3, characterized in that: The pressure applied to the diaphragm is gradually increased, and the change in the capacitance value of the dual-electrode structure is recorded in real time. Specifically, A programmable pressure controller is used to gradually apply the hydraulic pump pressure to the diaphragm of the double-electrode structure; Connect the leads of the dual-electrode structure to a high-precision capacitance measuring instrument, and connect the instrument to the data acquisition system XMLSchema to capture the rapidly changing capacitance value of the dual-electrode structure; After each increase in pressure, wait a few seconds for the data acquisition system XMLSchema to stabilize and record the changes in the current dual-electrode structure capacitance values ​​C1 and C2.

5. The method for detecting changes in a capacitor core with high sensitivity as claimed in claim 4, characterized in that: The capacitance value of the double-electrode structure was zero-calibrated without external pressure, and the process was repeated under different environmental conditions. Specifically, The capacitance values ​​of the dual-electrode structure C1 and C2 were recorded without external pressure and the zero-point compensation values ​​of the dual-electrode structure C1 and C2 were calculated using the initial zero-point calibration; Repeat the above zero point calibration process under different temperature and humidity environments.

6. The method for detecting changes in a capacitor core with high sensitivity as claimed in claim 5, characterized in that: The capacitance value of the dual-electrode structure after zero point calibration is used to train the adaptive compensation algorithm, specifically, Clean and remove outliers from the zero-calibrated dual-electrode structure capacitance values ​​CCP and CCN, and use temperature and humidity to pair with the corresponding dual-electrode structure C1 and C2 capacitance values ​​to form a data set that can be used for training; A support vector machine (SVM) model is selected as the adaptive compensation algorithm, and the training set is input into the support vector machine (SVM) model for training.

7. The method for detecting changes in a capacitor core with high sensitivity as claimed in claim 6, characterized in that: The capacitance measurement value is calculated based on the real-time recording of the change in the capacitance value of the dual-electrode structure combined with the trained adaptive compensation algorithm, specifically, The trained support vector machine (SVM) model is used to calculate the corresponding compensation value according to the capacitance value of the double-electrode structure C1 and C2 gradually increased by the hydraulic pump and the current temperature and humidity; The final capacitance measurement value is obtained by subtracting the corresponding compensation value from the capacitance value of the dual-electrode structure C1 and C2 under step-by-step pressure increase.

8. The method for detecting capacitor core changes with high sensitivity as claimed in claim 7, characterized in that: Perform in-depth analysis of the capacitance measurements to identify nonlinear behavior and adjust the Krange value based on the analysis results, specifically, Multiple regression analysis techniques were used to clean the collected capacitance measurements and remove outliers to identify nonlinear behavior in the capacitance measurements; A genetic algorithm is used to find the K_range value that minimizes the prediction error, and the K_range value is gradually adjusted through an iterative process.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for detecting changes in a capacitor core with high sensitivity described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for detecting changes in a capacitor core with high sensitivity described in any one of claims 1 to 7 are implemented.

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