Adaptive adjustment method, system and medium for self-calibration electroscope

Abstract

The present invention discloses an adaptive adjustment method, system, and medium for a self-calibrating electroscope, which relates to the field of electric field detection. The method comprises: starting the electroscope, wherein the electroscope's detection head includes a concentrically distributed multi-ring induction electrode group, the multi-ring induction electrode group being mounted on an insulating bracket, each ring corresponding to a group of independent induction electrodes, and the electrode spacing between the multi-ring induction electrode groups being adjustable; based on preset electrode spacing configuration parameters, the multi-ring induction electrode group synchronously receives electric field induction signals through a signal extraction module and outputs multiple groups of electric field induction signals; and utilizing an adaptive adjustment model to analyze the multiple groups of electric field induction signals, output adaptive electrode spacing configuration parameters, adjust the electrode spacing of the multi-ring induction electrode group, and re-receive the multiple groups of electric field induction signals. The method solves the technical problem of insufficient detection accuracy in existing non-uniform electric field detection due to the fixed electroscope electrode spacing, thereby achieving the technical effect of improving the accuracy of non-uniform electric field detection.

Description

Technical Field

[0001] The present application relates to the field of electric field detection, and in particular to an adaptive adjustment method, system and medium for a self-calibrating electroscope. Background Art

[0002] In the field of power detection, accurate detection of electric field strength is crucial to ensuring the safe and stable operation of power systems, especially in complex and changeable non-uniform electric field environments. Precise electric field detection is the key to preventing electrical accidents and optimizing the layout of power equipment. At present, the problem of non-uniform electric field detection is mainly solved by using traditional fixed-spacing induction electrode electroscopes, which receive electric field signals and perform detection through fixed-spacing induction electrodes. However, due to the uneven distribution of electric field strength in non-uniform electric fields, traditional fixed-spacing induction electrode electroscopes cannot flexibly adjust the electrode spacing according to the actual distribution of the electric field, resulting in difficulty in fully and accurately capturing electric field information during the detection process, which in turn affects the accuracy of the detection results.

[0003] In the current related technologies, non-uniform electric field detection has a technical problem of insufficient detection accuracy due to the fixed distance between the electrodes of the electroscope. Summary of the Invention

[0004] The present application provides an adaptive adjustment method, system and medium for a self-calibrating electroscope, adopts a multi-ring sensing electrode group with adjustable electrode spacing, and analyzes the electric field sensing signal in combination with an adaptive adjustment model, and dynamically adjusts the electrode spacing according to the analysis results to adapt to the detection requirements of different non-uniform electric fields. The technical means solve the technical problem of insufficient detection accuracy in existing non-uniform electric field detection due to the fixed electrode spacing of the electroscope, and achieves the technical effect of improving the accuracy of non-uniform electric field detection.

[0005] The present application provides an adaptive adjustment method for a self-calibrating electroscope, comprising: starting the electroscope, wherein the detection head of the electroscope includes a concentrically distributed multi-ring induction electrode group, wherein the multi-ring induction electrode group is mounted on an insulating bracket, wherein each ring corresponds to a group of independent induction electrodes, and the electrode spacing between the multi-ring induction electrode groups is adjustable; based on preset electrode spacing configuration parameters, the multi-ring induction electrode group synchronously receives electric field induction signals through a signal extraction module and outputs multiple groups of electric field induction signals; using an adaptive adjustment model to analyze the multiple groups of electric field induction signals, outputting adaptive electrode spacing configuration parameters, adjusting the electrode spacing of the multi-ring induction electrode group according to the adaptive electrode spacing configuration parameters, and re-receiving the multiple groups of electric field induction signals.

[0006] In a possible implementation, the following process is performed: the multi-ring sensing electrode group includes a first sensing electrode group and a second sensing electrode group, the first sensing electrode group and the second sensing electrode group are fixed by the insulating bracket, and the second sensing electrode group axially surrounds the first sensing electrode group; wherein a voltage level sensed by the first sensing electrode group is lower than a voltage level sensed by the second sensing electrode group.

[0007] In a possible implementation, the following process is performed: the electrode spacing of the multi-ring sensing electrode group is driven and adjusted on a guide rail assembly by at least one group of micro-stepping motors, wherein the guide rail assembly is a radial sliding structure.

[0008] In a possible implementation, the following process is performed: the multi-ring sensing electrode group includes a first sensing electrode group, a second sensing electrode group, and a third sensing electrode group; the first sensing electrode group, the second sensing electrode group, and the third sensing electrode group are fixed by the insulating bracket; the second sensing electrode group axially surrounds the first sensing electrode group, and the third sensing electrode group axially surrounds the second sensing electrode group; wherein a voltage level sensed by the first sensing electrode group is lower than a voltage level sensed by the second sensing electrode group, and a voltage level sensed by the second sensing electrode group is lower than a voltage level sensed by the third sensing electrode group.

[0009] In a possible implementation, an adaptive adjustment model is used to analyze the multiple groups of electric field sensing signals, output adaptive electrode spacing configuration parameters, and perform the following processing: calculating the response difference of the multiple groups of electric field sensing signals to obtain a difference vector; calculating the gradient change rate of the multiple groups of electric field sensing signals to obtain a gradient vector; introducing a short-time standard deviation to perform signal stationarity analysis on the multiple groups of electric field sensing signals to obtain a stationarity vector; constructing a feature vector using the difference vector, the gradient vector, and the stationarity vector, and the adaptive adjustment model performs analysis based on the feature vector to output the adaptive electrode spacing configuration parameters.

[0010] In a possible implementation, the adaptive adjustment model performs analysis based on the feature vector, outputs adaptive electrode spacing configuration parameters, and performs the following processing: constructs a fuzzy membership function, and the fuzzy membership function uses a Gaussian membership function to divide each input feature into membership labels, and the membership labels include low membership labels, medium membership labels, and high membership labels; the adaptive adjustment model performs fuzzification processing on the feature vector to obtain fuzzy set membership; performs rule analysis on the fuzzy set membership based on a fuzzy rule base and the fuzzy membership function, and outputs a fuzzy analysis result; defuzzifies the fuzzy analysis result and outputs the quantized adaptive electrode spacing configuration parameters.

[0011] In a possible implementation, the following processing is performed: the rules of the fuzzy rule base include at least one of the following: if the fuzzy membership of the difference vector is a low membership label, and the fuzzy membership of the gradient vector is a low membership label, and the fuzzy membership of the stationarity vector is a high membership label, increase the electrode spacing; if the fuzzy membership of the difference vector is a high membership label, and the fuzzy membership of the gradient vector is a high membership label, reduce the electrode spacing; if the fuzzy membership of the difference vector is a medium membership label, and the fuzzy membership of the gradient vector is a medium membership label, and the fuzzy membership of the stationarity vector is a low membership label, maintain the electrode spacing.

[0012] In a possible implementation, after adjusting the electrode spacing of the multi-ring sensing electrode group according to the adaptive electrode spacing configuration parameters and re-receiving multiple groups of electric field sensing signals, the following processing is further performed: comparing the re-received multiple groups of electric field sensing signals with the multiple groups of electric field sensing signals to obtain a response improvement evaluation result, wherein the response improvement evaluation result includes the electric field sensing signal accuracy and the amount of improvement in signal stability; and performing feedback optimization on the adaptive adjustment model based on the response improvement evaluation result to optimize the output of the next round of electrode spacing configuration parameters.

[0013] The present application also provides an adaptive adjustment system for a self-calibrating electroscope, comprising: an electroscope starting module, for starting the electroscope, wherein the detection head of the electroscope comprises a concentrically distributed multi-ring induction electrode group, wherein the multi-ring induction electrode group is mounted on an insulating bracket, wherein each ring corresponds to a group of independent induction electrodes, and the electrode spacing between the multi-ring induction electrode groups is adjustable; an electric field induction signal receiving module, for synchronously receiving electric field induction signals from the multi-ring induction electrode group through a signal extraction module based on preset electrode spacing configuration parameters, and outputting multiple groups of electric field induction signals; and an adaptive electrode spacing adjustment module, for analyzing the multiple groups of electric field induction signals using an adaptive adjustment model, outputting adaptive electrode spacing configuration parameters, adjusting the electrode spacing of the multi-ring induction electrode group according to the adaptive electrode spacing configuration parameters, and re-receiving multiple groups of electric field induction signals.

[0014] The present application also provides a computer-readable storage medium, comprising: a computer program stored thereon, wherein when the program is executed by a processor, an adaptive adjustment method of a self-calibrating electroscope is implemented.

[0015] The present application proposes an adaptive adjustment method, system, and medium for a self-calibrating electroscope. First, the electroscope is started. The detection head of the electroscope includes a concentrically distributed multi-ring induction electrode group, which is mounted on an insulating bracket. Each ring corresponds to a group of independent induction electrodes, and the electrode spacing between the multi-ring induction electrode groups is adjustable. Then, based on preset electrode spacing configuration parameters, the multi-ring induction electrode group synchronously receives electric field induction signals through a signal extraction module and outputs multiple groups of electric field induction signals. Finally, an adaptive adjustment model is used to analyze the multiple groups of electric field induction signals, output adaptive electrode spacing configuration parameters, and adjust the electrode spacing of the multi-ring induction electrode group according to the adaptive electrode spacing configuration parameters, and re-receive multiple groups of electric field induction signals. The technical effect of improving the accuracy of non-uniform electric field detection is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention are briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in precise order. Instead, various steps may be processed in reverse order or simultaneously as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0017] Figure 1 A flowchart of an adaptive adjustment method for a self-calibrating electroscope provided in an embodiment of the present application is provided.

[0018] Figure 2 A schematic structural diagram of an adaptive adjustment system for a self-calibrating electroscope provided in an embodiment of the present application.

[0019] Description of the accompanying drawings: electroscope starting module 10, electric field induction signal receiving module 20, adaptive electrode spacing adjustment module 30. DETAILED DESCRIPTION

[0020] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0021] In order to make the purpose, technical solutions and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting this application. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0022] In the following description, reference is made to “some embodiments”, which describes a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict, and the terms “first\second” involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. The terms “including” and “having” and any variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or that are inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. The terms used herein are for the purpose of describing the embodiments of this application only.

[0023] The embodiment of the present application provides an adaptive adjustment method for a self-calibrating electroscope, such as Figure 1 As shown, the method includes:

[0024] Step S100 , starting the electroscope, wherein the detection head of the electroscope comprises a concentrically distributed multi-ring induction electrode group, wherein the multi-ring induction electrode group is mounted on an insulating bracket, wherein each ring corresponds to a group of independent induction electrodes, and the electrode spacing between the multi-ring induction electrode groups is adjustable.

[0025] Specifically, a microcontroller (MCU) serves as the control core, controlling the circuitry to activate each module of the electroscope, including the power supply module and the detection head module. The power supply module provides stable voltage and current to the electroscope, ensuring proper operation. The multi-ring sensing electrode assembly in the detection head module is secured by an insulating bracket, and the sensing electrodes in each ring are connected to the signal processing module via wires. The multi-ring sensing electrode assembly consists of multiple ring-shaped sensing electrodes arranged one above the other, with each ring corresponding to an independent set of sensing electrodes for receiving electric field signals. The spacing between the electrodes in different rings is adjustable, altering the electrode assembly's sensitivity to electric fields. Electrode spacing refers to the radial distance between electrodes, and its size affects the electric field intensity gradient received by the electrodes. When the high-voltage electric field distribution exhibits spatial inhomogeneity or directional characteristics, electrode groups with different spacing will sense signals of varying intensities and spectral characteristics. Appropriately adjusting the electrode spacing can amplify the response differences of specific electrode groups, thereby improving overall recognition capability.

[0026] Specifically, when the power is turned on, the microcontroller initializes each module, including checking the power supply voltage and initializing the communication interface. The microcontroller then sends a startup command, putting the detector head module into operation and preparing the multi-ring sensing electrode group to receive electric field signals. For example, when the electroscope's start button is pressed, the microcontroller detects the button signal and, through the control circuitry, causes the power module to output a stable 5V voltage. Simultaneously, the detector head module is initialized, placing each ring of the multi-ring sensing electrode group in a standby state, ready to receive electric field signals.

[0027] In a possible implementation, step S100 further includes: the multi-ring sensing electrode group includes a first sensing electrode group and a second sensing electrode group, the first sensing electrode group and the second sensing electrode group are fixed by the insulating bracket, and the second sensing electrode group axially surrounds the first sensing electrode group, wherein a voltage level sensed by the first sensing electrode group is lower than a voltage level sensed by the second sensing electrode group.

[0028] Specifically, the first and second sensing electrode groups are designed as ring electrodes of different sizes. The first sensing electrode group has a smaller ring diameter and is used to sense electric field signals at lower voltage levels. The second sensing electrode group has a larger ring diameter and is located above the first sensing electrode group, and is used to sense electric field signals at higher voltage levels. The first and second sensing electrode groups are secured to an insulating bracket made of a high-strength insulating material (such as polytetrafluoroethylene or epoxy resin), ensuring good insulation and structural stability. The spacing between the first and second sensing electrode groups is adjustable using a motor or stepper motor drive.

[0029] Specifically, a first sensing electrode group is mounted on an insulating bracket, ensuring it is securely fixed and insulated from the bracket. A second sensing electrode group is mounted above the first sensing electrode group, axially surrounding the first sensing electrode group and secured by the insulating bracket. A microcontroller controls a motor or stepper motor driver to adjust the electrode spacing between the first and second sensing electrode groups as needed.

[0030] For example, the first sensing electrode group has a 50mm ring diameter and is used to sense electric field signals with voltage levels below 1kV. The second sensing electrode group has a 100mm ring diameter and is located above the first sensing electrode group, and is used to sense electric field signals with voltage levels above 1kV. The motor drive device can adjust the electrode spacing between the first and second sensing electrode groups from 10mm to 30mm to accommodate different electric field strengths and distributions.

[0031] In this implementation, since the spacing between the first and second sensing electrode groups is adjustable, the spacing can be optimized based on different electric field distributions, thereby improving the resolution and recognition capabilities of the electric field induced signals. For example, when the electric field distribution is spatially non-uniform, adjusting the spacing can increase the difference in the signals sensed by the first and second sensing electrode groups, thereby more accurately determining the direction and strength of the electric field.

[0032] In a possible implementation, step S100 further includes: driving and adjusting the electrode spacing of the multi-ring sensing electrode group on a guide rail assembly by at least one group of micro-stepping motors, wherein the guide rail assembly is a radial sliding structure.

[0033] Specifically, a micro-stepping motor is used as a drive device to precisely control the adjustment of the electrode spacing. Stepper motors feature high precision, low speed, and high torque, enabling precise position control. The guide rail assembly is designed as a radial sliding structure to support and guide the movement of the electrodes. The guide rail assembly includes a slide rail and a slider. The slider is fixedly connected to the electrode and is driven by a stepper motor to move on the slide rail, thereby adjusting the electrode spacing. The movement of the stepper motor is controlled by a microcontroller (MCU). The microcontroller sends pulse signals to control the rotation angle and direction of the stepper motor based on the electrode spacing configuration parameters output by the adaptive adjustment model, thereby precisely adjusting the electrode spacing.

[0034] Specifically, a microstepping motor is mounted on an insulating bracket, and the motor's output shaft is connected to the slider of the guide rail assembly. The guide rail of the guide rail assembly is fixed to the insulating bracket, and the slider is fixedly connected to the electrode, ensuring radial movement of the electrode along the rail. Based on the electrode spacing parameters output by the adaptive adjustment model, the microcontroller calculates the required number and direction of stepper motor pulses and sends the corresponding pulse signals to control the stepper motor's rotation. The rotation of the stepper motor drives the slider along the rail, thereby adjusting the electrode spacing.

[0035] For example, suppose the adaptive adjustment model outputs an electrode spacing parameter of 15 mm, and the current electrode spacing is 10 mm. The microcontroller calculates that the electrode spacing needs to be increased by 5 mm. Based on the stepper motor's step angle (assuming 1.8° / step) and the slider's movement rate (assuming 0.1 mm per step), it calculates that 50 pulse signals need to be sent to the stepper motor. After receiving the pulse signals, the stepper motor rotates the corresponding angle, driving the slider along the rail, ultimately adjusting the electrode spacing to 15 mm.

[0036] In this implementation, the micro-stepping motor enables high-precision position control. Combined with the radially sliding guide rail assembly, the electrode spacing can be precisely adjusted. This high-precision adjustment capability enables the electroscope to quickly and accurately adjust the electrode spacing in varying electric field environments based on the output parameters of the adaptive adjustment model, thereby optimizing the reception of electric field sensing signals.

[0037] In a possible implementation, step S100 further includes: the multi-ring sensing electrode group includes a first sensing electrode group, a second sensing electrode group, and a third sensing electrode group, the first sensing electrode group, the second sensing electrode group, and the third sensing electrode group are fixed by the insulating bracket, the second sensing electrode group axially surrounds the first sensing electrode group, and the third sensing electrode group axially surrounds the second sensing electrode group, wherein a voltage level sensed by the first sensing electrode group is lower than a voltage level sensed by the second sensing electrode group, and a voltage level sensed by the second sensing electrode group is lower than a voltage level sensed by the third sensing electrode group.

[0038] Specifically, three groups of annular sensing electrodes are designed, arranged one above the other: the first, second, and third sensing electrode groups. The first sensing electrode group has the smallest ring diameter and is used to sense electric field signals with the lowest voltage level. The second sensing electrode group has a medium ring diameter and is located above the first sensing electrode group, sensing electric field signals with medium voltage levels. The third sensing electrode group has the largest ring diameter and is located above the second sensing electrode group, sensing electric field signals with the highest voltage level. The three sensing electrode groups are secured to an insulating bracket made of a high-strength insulating material (such as polytetrafluoroethylene or epoxy resin), ensuring good insulation and structural stability. The spacing between the first, second, and third sensing electrode groups is adjustable using a motor or stepper motor drive.

[0039] Specifically, a first sensing electrode group is mounted on an insulating bracket, ensuring it is securely fixed and insulated from the bracket. A second sensing electrode group is mounted above the first sensing electrode group, axially surrounding the first sensing electrode group and secured via the insulating bracket. A third sensing electrode group is mounted above the second sensing electrode group, axially surrounding the second sensing electrode group and secured via the insulating bracket. A motor or stepper motor drive adjusts the spacing between each electrode group based on the electrode spacing parameter output by the adaptive adjustment model.

[0040] For example, the first sensing electrode group has a ring diameter of 50mm and is used to sense electric field signals with voltage levels below 1kV. The second sensing electrode group has a ring diameter of 100mm and is located above the first sensing electrode group, and is used to sense electric field signals with voltage levels between 1kV and 5kV. The third sensing electrode group has a ring diameter of 150mm and is located above the second sensing electrode group, and is used to sense electric field signals with voltage levels above 5kV. The motor drive device can adjust the electrode spacing between the first and second sensing electrode groups from 20mm to 40mm, and the electrode spacing between the second and third sensing electrode groups from 30mm to 60mm.

[0041] This approach utilizes three sets of axially encircling sensing electrodes and an adjustable spacing between them, enabling the electroscope to more accurately capture the gradient and directionality of the electric field. Adjusting the spacing between the electrodes in complex electric field environments reduces signal distortion caused by field inhomogeneities, resulting in clearer and more stable sensing signals and improved detection accuracy.

[0042] In step S200 , based on preset electrode spacing configuration parameters, the multi-ring sensing electrode group synchronously receives electric field sensing signals through a signal extraction module and outputs multiple groups of electric field sensing signals.

[0043] Specifically, the signal extraction module is responsible for converting the electric field sensing signals received by the multi-ring sensing electrode group into electrical signals, and then performing amplification, filtering, and analog-to-digital conversion. It includes components such as sensors, amplifier circuits, filtering circuits, and analog-to-digital converters (ADCs). Under preset electrode spacing configuration parameters, the sensors in the signal extraction module (such as capacitive sensors or electric field sensors) convert the electric field sensing signals received by the multi-ring sensing electrode group into electrical signals. These electrical signals are amplified by the amplifier circuit, filtered to remove noise, and finally converted to digital signals by the analog-to-digital converter, outputting multiple sets of electric field sensing signals.

[0044] Specifically, the sensor in the signal extraction module detects the electric field induction signal received by the multi-ring induction electrode group and converts it into an electrical signal. The electrical signal is amplified by an amplifier circuit. The amplification factor is pre-set based on the signal strength. For example, when the signal is weak, the amplification factor can be set to 10 times. The amplified signal passes through a filtering circuit to remove high-frequency noise. The filtering circuit can use a low-pass filter with a cutoff frequency pre-set based on the signal's spectral characteristics. The filtered signal is converted into a digital signal by an analog-to-digital converter. The resolution of the analog-to-digital converter is pre-set based on the signal's accuracy requirements. For example, a 12-bit analog-to-digital converter can be used.

[0045] Step S300: Analyze the multiple sets of electric field induction signals using an adaptive adjustment model, output adaptive electrode spacing configuration parameters, adjust the electrode spacing of the multi-ring sensing electrode group according to the adaptive electrode spacing configuration parameters, and receive multiple sets of electric field induction signals again.

[0046] Specifically, the adaptive adjustment model can analyze the relationship between different electrode spacings and signals based on multiple sets of input electric field sensing signals, and output the optimal electrode spacing configuration parameters to improve the electroscope's ability to recognize electric fields.

[0047] Specifically, the multiple sets of electric field induction signals output in step S200 are input into the adaptive adjustment model. The adaptive adjustment model analyzes and calculates the input signals based on pre-designed model parameters, and outputs adaptive electrode spacing configuration parameters. For example, based on the input signal strength and spectral characteristics, the model calculates that the optimal electrode spacing is 30 mm. Based on the output adaptive electrode spacing configuration parameters, the microcontroller adjusts the electrode spacing of the multi-ring induction electrode group by controlling a motor or stepper motor driver. For example, by sending a pulse signal to control the rotation of the stepper motor, the electrode spacing is adjusted from the original 20 mm to 30 mm. After the adjustment is completed, step S200 is executed again to receive the multiple sets of electric field induction signals.

[0048] In one possible implementation, the adaptive adjustment model is used to analyze the multiple groups of electric field sensing signals and output the adaptive electrode spacing configuration parameters. Step S300 further includes step S310, calculating the response difference of the multiple groups of electric field sensing signals to obtain a difference vector. Specifically, the response difference refers to the difference in the intensity of the electric field signal sensed between different sensing electrode groups. By calculating the response difference, the signal differences between different electrode groups can be understood, thereby determining the unevenness of the electric field. ij =|V i −V j ∣, where V i and V j are the electric field induction signal intensities of the i-th and j-th groups of sensing electrodes respectively.

[0049] Step S320, calculate the gradient change rate of the multiple groups of electric field sensing signals to obtain a gradient vector. Specifically, the gradient change rate reflects the rate of change of the electric field intensity between different sensing electrode groups. By calculating the gradient change rate, the gradient distribution of the electric field can be determined. ij = ,in, is the distance between the i-th and j-th groups of sensing electrodes.

[0050] Step S330: Introduce the short-time standard deviation to perform signal stability analysis on the multiple groups of electric field induction signals to obtain a stability vector. Specifically, the short-time standard deviation is used to measure the fluctuation of the signal in a short period of time, thereby determining the stability of the signal. By calculating the short-time standard deviation, the stability of the signal can be understood and misjudgment caused by noise or interference can be avoided. i = ,in, is the signal strength of the i-th group of sensing electrodes at the k-th sampling point, is the average signal strength of the i-th group of sensing electrodes, and N is the number of sampling points.

[0051] Step S340: Construct a feature vector using the difference vector, the gradient vector, and the stationarity vector. The adaptive adjustment model analyzes the feature vector based on the feature vector and outputs adaptive electrode spacing configuration parameters. Specifically, the difference vector, gradient vector, and stationarity vector are combined into a feature vector and input into the adaptive adjustment model. The model analyzes and outputs the optimal electrode spacing configuration parameters based on these feature vectors. Feature vector = [difference vector, gradient vector, stationarity vector].

[0052] For example, in one experiment, the electric field signal intensities sensed by the three groups of sensing electrodes (the first sensing electrode group, the second sensing electrode group, and the third sensing electrode group) are shown in Table 1.

[0053] Table 1: Examples of multiple sets of electric field sensing signals

[0054]

[0055] The response difference was calculated as follows: Group 1 vs. Group 2: |0.5−1.2|=0.7; Group 2 vs. Group 3: |1.2−2.1|=0.9. The gradient change rate was calculated as follows (electrode spacings of 20 mm and 30 mm, respectively): Group 1 vs. Group 2: (1.2−0.5) / 20=0.035; Group 2 vs. Group 3: (2.1−1.2) / 30=0.03. The short-term standard deviation was calculated as follows (number of sampling points, N=5): Group 1: ≈0.0369. Similarly, the short-term standard deviation of the first group is 0.0486, and the short-term standard deviation of the third group is 0.0551. The above calculation results are combined into an eigenvector: eigenvector = [0.7, 0.9, 0.035, 0.03, 0.0369, 0.0486, 0.0551].

[0056] This approach analyzes response differences and gradient change rates to more accurately capture electric field inhomogeneities and gradient distributions, thereby optimizing electrode spacing and improving signal resolution. Introducing short-time standard deviation to analyze signal stability effectively reduces noise interference and ensures signal stability and reliability.

[0057] In one possible implementation, the adaptive adjustment model performs analysis based on the feature vector and outputs adaptive electrode spacing configuration parameters. Step S340 further includes step S341, constructing a fuzzy membership function, wherein the fuzzy membership function uses a Gaussian membership function to divide each input feature into membership labels, and the membership labels include low membership labels, medium membership labels, and high membership labels. Specifically, the fuzzy membership function is used to divide the input features (response difference, gradient change rate, and short-time standard deviation) into different membership labels. Using a Gaussian membership function, each input feature is divided into three membership labels: low, medium, and high. Among them, the Gaussian membership function is: , where μ(x) represents the membership value of the input feature value x for a certain membership label, x is the input feature value, c is the central value of the membership function, and σ is the standard deviation of the membership function, which determines the width of the membership function. For example, for the response difference feature, three Gaussian membership functions can be defined: low membership label: central value c low =0.5, standard deviation σ low =0.2; medium membership label: center value c mid =1.0, standard deviation σ mid =0.3; high membership label: center value c high =1.5, standard deviation σ high =0.4.

[0058] In step S342, the adaptive adjustment model fuzzifies the feature vector to obtain fuzzy set membership. Specifically, each eigenvalue in the feature vector is fuzzified using a fuzzy membership function, and its membership value under low, medium, and high membership labels is calculated. The result of the fuzzification process is a fuzzy set, which represents the degree to which each eigenvalue belongs to different membership labels.

[0059] Step S343: Based on the fuzzy rule base and the fuzzy membership function, rule analysis is performed on the fuzzy set memberships, and the fuzzy analysis results are output. Specifically, the fuzzy rule base defines the logical relationships between fuzzy sets. Based on the fuzzy rule base, rule analysis is performed on the fuzzy set memberships, and the fuzzy analysis results are output. During the rule analysis process, the final membership label of each feature is determined based on its membership value. For example, for the response difference feature 0.7, its low membership and medium membership values ​​are relatively high, so it can be classified as "medium."

[0060] Step S344, defuzzify the fuzzy analysis results and output the quantized adaptive electrode spacing configuration parameters. Specifically, the fuzzy analysis results are converted into specific quantized values, i.e., the adaptive electrode spacing configuration parameters, through defuzzification. Defuzzification methods include the centroid method, the maximum membership method, etc. This implementation method can accurately divide the input features into three membership labels of low, medium, and high through fuzzy membership functions and fuzzification processing. The fuzzy rule base can flexibly match rules based on the membership labels of the features, output the optimal electrode spacing configuration parameters, and improve the resolution and recognition ability of the electric field sensing signal.

[0061] In one possible implementation, step S343 further includes: the rules of the fuzzy rule base include at least one of the following: if the fuzzy membership of the difference vector is a low membership label, and the fuzzy membership of the gradient vector is a low membership label, and the fuzzy membership of the stationarity vector is a high membership label, increase the electrode spacing; if the fuzzy membership of the difference vector is a high membership label, and the fuzzy membership of the gradient vector is a high membership label, reduce the electrode spacing; if the fuzzy membership of the difference vector is a medium membership label, and the fuzzy membership of the gradient vector is a medium membership label, and the fuzzy membership of the stationarity vector is a low membership label, maintain the electrode spacing.

[0062] Specifically, the fuzzy rule base defines the electrode spacing adjustment strategy under different feature membership combinations. These rules are based on the fuzzy membership labels of the difference vector, gradient vector, and stationarity vector.

[0063] The conditions for Rule 1 are: the fuzzy membership of the difference vector is a low-membership label, the fuzzy membership of the gradient vector is a low-membership label, and the fuzzy membership of the stationarity vector is a high-membership label. The action is to increase the electrode spacing. A low difference indicates minimal signal variation between electrode groups, implying a more uniform electric field. A low gradient indicates minimal variation in electric field intensity and a flatter electric field distribution. A high stationarity indicates a more stable signal with less noise or interference. In this case, increasing the electrode spacing can better capture subtle changes in the electric field and improve resolution.

[0064] The conditions for Rule 2 are: the fuzzy membership of the difference vector is a high-membership label, and the fuzzy membership of the gradient vector is a high-membership label. The action is to reduce the electrode spacing. A high difference indicates significant signal differences between electrode groups, implying strong electric field inhomogeneity. A high gradient indicates significant variations in electric field strength, possibly indicating areas of abrupt changes in the electric field. In this case, reducing the electrode spacing can more accurately capture the gradient changes in the electric field, avoiding missing critical information due to excessive electrode spacing.

[0065] The conditions for Rule 3 are: the fuzzy membership of the difference vector is a medium-membership label, the fuzzy membership of the gradient vector is a medium-membership label, and the fuzzy membership of the stationarity vector is a low-membership label. The action is: maintain the electrode spacing unchanged. A medium difference indicates a medium signal difference between electrode groups. A medium gradient indicates a medium change in electric field strength. Low stationarity indicates some signal fluctuation or instability. In this case, maintain the electrode spacing unchanged to avoid misjudgments due to signal instability, and wait for further signal stabilization before making adjustments.

[0066] In addition, the rules of the fuzzy rule base can also include rule 4, that is, if the fuzzy membership of the difference vector is a low membership label, the fuzzy membership of the gradient vector is a medium membership label, and the fuzzy membership of the stationarity vector is a low membership label, the electrode spacing is slightly increased. Among them, the low fuzzy membership of the difference vector indicates that the signal difference between the electrode groups is small and the electric field is relatively uniform. The medium fuzzy membership of the gradient vector indicates that the change in electric field intensity is at a medium level, and there may be certain gradient changes, but they are not very drastic. The low fuzzy membership of the stationarity vector indicates that there is a certain fluctuation or instability in the signal, and there may be noise or interference. In this case, slightly increasing the electrode spacing can improve the ability to capture gradient changes while avoiding the amplification of signal noise due to too small an electrode spacing. This implementation method uses clear rule definitions, and the system can accurately adjust the electrode spacing according to different combinations of electric field characteristics to optimize the reception effect of the electric field sensing signal.

[0067] In one possible implementation, after adjusting the electrode spacing of the multi-ring sensing electrode group according to the adaptive electrode spacing configuration parameters and re-receiving multiple groups of electric field sensing signals, step S300 further includes step S350, comparing the re-received multiple groups of electric field sensing signals with the multiple groups of electric field sensing signals to obtain response improvement evaluation results, wherein the response improvement evaluation results include the accuracy of the electric field sensing signals and the improvement in signal stability. Specifically, after adjusting the electrode spacing and re-receiving multiple groups of electric field sensing signals, the re-received signals are compared with the signals before adjustment to obtain response improvement evaluation results. The evaluation results include two main indicators, among which the accuracy of the electric field sensing signal is used to measure the accuracy of the adjusted signal in reflecting the actual situation of the electric field; the improvement in signal stability is used to measure the degree of improvement in the stability of the adjusted signal.

[0068] Specifically, the accuracy of the electric field sensing signal is evaluated by comparing the degree of match between the adjusted signal and a known standard signal (or theoretical model). For example, statistical metrics such as mean squared error (MSE) or correlation coefficient can be used to quantify the accuracy. The improvement in signal stability can be assessed by comparing the degree of signal fluctuation before and after adjustment. For example, the standard deviation or variance of the signal before and after adjustment can be calculated to quantify the improvement in signal stability.

[0069] Step S360: Feedback optimization is performed on the adaptive adjustment model based on the response improvement evaluation results to optimize the output of the next round of electrode spacing configuration parameters. Specifically, feedback optimization is performed on the adaptive adjustment model based on the response improvement evaluation results. The goal of the optimization is to improve the output quality of the next round of electrode spacing configuration parameters, thereby further improving system performance.

[0070] Specifically, the parameters of the fuzzy rule base or fuzzy membership function are adjusted based on the evaluation results. For example, if a rule is found to be ineffective, the central value c and standard deviation σ of the fuzzy membership function can be adjusted to better adapt to the actual electric field conditions. This implementation method, through an evaluation and feedback mechanism, enables the system to dynamically adjust the electrode spacing based on actual electric field conditions, further enhancing the system's adaptability.

[0071] The embodiment of the present application adopts a multi-ring sensing electrode group with adjustable electrode spacing, and combines it with an adaptive adjustment model to analyze the electric field sensing signal, and dynamically adjusts the electrode spacing according to the analysis results to adapt to the detection requirements of different non-uniform electric fields. Technical means such as solving the technical problem of insufficient detection accuracy caused by the fixed electrode spacing of the electroscope in existing non-uniform electric field detection, and achieving the technical effect of improving the accuracy of non-uniform electric field detection.

[0072] In the above, refer to Figure 1 The following describes in detail a self-adaptive adjustment method of a self-calibrating electroscope according to an embodiment of the present invention. Figure 2 An adaptive adjustment system for a self-calibrating electroscope according to an embodiment of the present invention is described.

[0073] An adaptive adjustment system for a self-calibrating electroscope according to an embodiment of the present invention is designed to address the technical problem of insufficient detection accuracy in existing non-uniform electric field detection due to a fixed electroscope electrode spacing, thereby improving the accuracy of non-uniform electric field detection. The adaptive adjustment system includes an electroscope start-up module 10, an electric field sensing signal receiving module 20, and an adaptive electrode spacing adjustment module 30.

[0074] The electroscope starting module 10 is used to start the electroscope. The detection head of the electroscope includes a concentrically distributed multi-ring induction electrode group, which is installed on an insulating bracket, wherein each ring corresponds to a group of independent induction electrodes, and the electrode spacing between the multi-ring induction electrode groups is adjustable; the electric field induction signal receiving module 20 is used to synchronously receive electric field induction signals through the signal extraction module based on preset electrode spacing configuration parameters, and output multiple groups of electric field induction signals; the adaptive electrode spacing adjustment module 30 is used to use an adaptive adjustment model to analyze the multiple groups of electric field induction signals, output adaptive electrode spacing configuration parameters, adjust the electrode spacing of the multi-ring induction electrode group according to the adaptive electrode spacing configuration parameters, and re-receive multiple groups of electric field induction signals.

[0075] The specific configuration of the electroscope activation module 10 will be described in detail below. As described above, the electroscope activation module 10 may further include: the multi-ring sensing electrode group includes a first sensing electrode group and a second sensing electrode group, the first sensing electrode group and the second sensing electrode group being fixed by the insulating bracket, the second sensing electrode group axially surrounding the first sensing electrode group, wherein the voltage level sensed by the first sensing electrode group is lower than the voltage level sensed by the second sensing electrode group.

[0076] The specific configuration of the electroscope activation module 10 will be described in detail below. As described above, the electroscope activation module 10 may further include: the electrode spacing of the multi-ring sensing electrode group is driven and adjusted by at least one set of micro-stepping motors on a guide rail assembly, wherein the guide rail assembly is a radial sliding structure.

[0077] The specific configuration of the electroscope activation module 10 will be described in detail below. As described above, the electroscope activation module 10 may further include: the multi-ring sensing electrode group includes a first sensing electrode group, a second sensing electrode group, and a third sensing electrode group, the first sensing electrode group, the second sensing electrode group, and the third sensing electrode group being fixed by the insulating bracket, the second sensing electrode group axially surrounding the first sensing electrode group, and the third sensing electrode group axially surrounding the second sensing electrode group, wherein the voltage level sensed by the first sensing electrode group is lower than the voltage level sensed by the second sensing electrode group, and the voltage level sensed by the second sensing electrode group is lower than the voltage level sensed by the third sensing electrode group.

[0078] The specific configuration of the adaptive electrode spacing adjustment module 30 will be described in detail below. As described above, the adaptive adjustment model is used to analyze the multiple groups of electric field sensing signals and output the adaptive electrode spacing configuration parameters. The adaptive electrode spacing adjustment module 30 may further include: a response difference calculation unit for calculating the response difference of the multiple groups of electric field sensing signals to obtain a difference vector; a gradient change rate calculation unit for calculating the gradient change rate of the multiple groups of electric field sensing signals to obtain a gradient vector; a signal stability analysis unit for introducing a short-time standard deviation to perform signal stability analysis on the multiple groups of electric field sensing signals to obtain a stability vector; and a feature vector construction unit for constructing a feature vector using the difference vector, the gradient vector, and the stability vector. The adaptive adjustment model performs analysis based on the feature vector and outputs the adaptive electrode spacing configuration parameters.

[0079] In which, the adaptive adjustment model is based on the analysis of the feature vector and outputs the adaptive electrode spacing configuration parameters. The feature vector construction unit may further include: a fuzzy membership function construction subunit for constructing a fuzzy membership function, and the fuzzy membership function uses a Gaussian membership function to divide each input feature into membership labels, and the membership labels include low membership labels, medium membership labels and high membership labels; a fuzzification processing subunit is used for the adaptive adjustment model to perform fuzzy processing on the feature vector to obtain fuzzy set membership; a rule analysis subunit is used to perform rule analysis on the fuzzy set membership based on a fuzzy rule base and the fuzzy membership function, and output a fuzzy analysis result; a defuzzification processing subunit is used to defuzzify the fuzzy analysis result and output the quantized adaptive electrode spacing configuration parameters.

[0080] Among them, the rule analysis subunit may further include: the rules of the fuzzy rule base include at least one of the following: if the fuzzy membership of the difference vector is a low membership label, and the fuzzy membership of the gradient vector is a low membership label, and the fuzzy membership of the stationarity vector is a high membership label, increase the electrode spacing; if the fuzzy membership of the difference vector is a high membership label, and the fuzzy membership of the gradient vector is a high membership label, reduce the electrode spacing; if the fuzzy membership of the difference vector is a medium membership label, and the fuzzy membership of the gradient vector is a medium membership label, and the fuzzy membership of the stationarity vector is a low membership label, maintain the electrode spacing.

[0081] Among them, after adjusting the electrode spacing of the multi-ring sensing electrode group according to the adaptive electrode spacing configuration parameters and re-receiving multiple groups of electric field sensing signals, the adaptive electrode spacing adjustment module 30 may further include: a response improvement evaluation unit for comparing the re-received multiple groups of electric field sensing signals with the multiple groups of electric field sensing signals to obtain a response improvement evaluation result, wherein the response improvement evaluation result includes the accuracy of the electric field sensing signal and the improvement in signal stability; a feedback optimization unit for performing feedback optimization on the adaptive adjustment model according to the response improvement evaluation result, so as to optimize the output of the next round of electrode spacing configuration parameters.

[0082] An adaptive adjustment system for a self-calibrating electroscope provided by an embodiment of the present invention can execute an adaptive adjustment method for a self-calibrating electroscope provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects of the execution method.

[0083] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present invention.

[0084] Based on the foregoing embodiments, an embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor of an electronic device, it can implement an adaptive adjustment method for a self-calibrating electroscope as described in any of the previous embodiments.

[0085] The above specific embodiments do not constitute a limitation to the scope of protection of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of this application should be included in the scope of protection of this application. In some cases, the actions or steps recorded in this application can be performed in an order different from that in the embodiments and can still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A self-adaptive adjustment method for a self-calibrating electroscope, characterized in that: The method comprises: Starting the electroscope, wherein the detection head of the electroscope includes a concentrically distributed multi-ring induction electrode group, wherein the multi-ring induction electrode group is mounted on an insulating bracket, wherein each ring corresponds to a group of independent induction electrodes, and the electrode spacing between the multi-ring induction electrode groups is adjustable; Based on the preset electrode spacing configuration parameters, the multi-ring sensing electrode group synchronously receives the electric field sensing signal through the signal extraction module and outputs multiple groups of electric field sensing signals; Analyzing the multiple sets of electric field sensing signals using an adaptive adjustment model, outputting adaptive electrode spacing configuration parameters, adjusting the electrode spacing of the multi-ring sensing electrode group according to the adaptive electrode spacing configuration parameters, and re-receiving the multiple sets of electric field sensing signals; The adaptive adjustment model is used to analyze the multiple sets of electric field sensing signals and output adaptive electrode spacing configuration parameters, the method comprising: Calculating response differences of the multiple groups of electric field induction signals to obtain a difference vector; Calculating gradient change rates of the multiple groups of electric field induction signals to obtain gradient vectors; Introducing a short-time standard deviation to perform signal stationarity analysis on the multiple groups of electric field induction signals to obtain a stationarity vector; A characteristic vector is constructed using the difference vector, the gradient vector, and the stationarity vector. The adaptive adjustment model performs analysis based on the characteristic vector and outputs adaptive electrode spacing configuration parameters.

2. The method for adaptively adjusting a self-calibrating electroscope according to claim 1, wherein: The multi-ring sensing electrode group includes a first sensing electrode group and a second sensing electrode group, the first sensing electrode group and the second sensing electrode group are fixed by the insulating bracket, and the second sensing electrode group axially surrounds the first sensing electrode group; The voltage level sensed by the first sensing electrode group is smaller than the voltage level sensed by the second sensing electrode group.

3. The method for adaptively adjusting a self-calibrating electroscope according to claim 1, wherein: The electrode spacing of the multi-ring induction electrode group is driven and adjusted on a guide rail assembly by at least one group of micro-stepping motors, wherein the guide rail assembly is a radial sliding structure.

4. The method for adaptively adjusting a self-calibrating electroscope according to claim 1, wherein: The multi-ring sensing electrode group includes a first sensing electrode group, a second sensing electrode group, and a third sensing electrode group, wherein the first sensing electrode group, the second sensing electrode group, and the third sensing electrode group are fixed by the insulating bracket, the second sensing electrode group axially surrounds the first sensing electrode group, and the third sensing electrode group axially surrounds the second sensing electrode group; The voltage level sensed by the first sensing electrode group is smaller than the voltage level sensed by the second sensing electrode group, and the voltage level sensed by the second sensing electrode group is smaller than the voltage level sensed by the third sensing electrode group.

5. The method for adaptively adjusting a self-calibrating electroscope according to claim 1, wherein: The adaptive adjustment model analyzes the characteristic vector and outputs the adaptive electrode spacing configuration parameters, and the method includes: Constructing a fuzzy membership function, wherein the fuzzy membership function uses a Gaussian membership function to divide each input feature into membership labels, wherein the membership labels include low membership labels, medium membership labels, and high membership labels; The adaptive adjustment model performs fuzzification processing on the feature vector to obtain fuzzy set membership; Perform rule analysis on the fuzzy set membership based on the fuzzy rule base and the fuzzy membership function, and output a fuzzy analysis result; The fuzzy analysis result is defuzzified to output quantized adaptive electrode spacing configuration parameters.

6. The method for adaptively adjusting a self-calibrating electroscope according to claim 5, wherein: The rules of the fuzzy rule base include at least one of the following: If the fuzzy membership of the difference vector is a low membership label, the fuzzy membership of the gradient vector is a low membership label, and the fuzzy membership of the stationarity vector is a high membership label, increase the electrode spacing; If the fuzzy membership of the difference vector is a high membership label, and the fuzzy membership of the gradient vector is a high membership label, reducing the electrode spacing; If the fuzzy membership of the difference vector is a medium membership label, the fuzzy membership of the gradient vector is a medium membership label, and the fuzzy membership of the stationarity vector is a low membership label, the electrode spacing is maintained.

7. The method for adaptively adjusting a self-calibrating electroscope according to claim 1, wherein: After adjusting the electrode spacing of the multi-ring sensing electrode group according to the adaptive electrode spacing configuration parameter and re-receiving multiple groups of electric field sensing signals, the method further includes: comparing the re-received multiple sets of electric field induction signals with the multiple sets of electric field induction signals to obtain response improvement evaluation results, wherein the response improvement evaluation results include an improvement in the accuracy of the electric field induction signals and an amount of improvement in signal stability; Feedback optimization is performed on the adaptive adjustment model according to the response improvement evaluation result to optimize the output of the next round of electrode spacing configuration parameters.

8. An adaptive adjustment system for a self-calibrating electroscope, characterized in that: The system is used to implement the adaptive adjustment method of a self-calibrating electroscope according to any one of claims 1 to 7, and the system comprises: An electroscope starting module is used to start the electroscope, wherein the detection head of the electroscope includes a concentrically distributed multi-ring induction electrode group, wherein the multi-ring induction electrode group is mounted on an insulating bracket, wherein each ring corresponds to a group of independent induction electrodes, and the electrode spacing between the multi-ring induction electrode groups is adjustable; An electric field sensing signal receiving module, configured to synchronously receive electric field sensing signals from the multi-ring sensing electrode group through the signal extraction module based on preset electrode spacing configuration parameters, and output multiple groups of electric field sensing signals; an adaptive electrode spacing adjustment module, configured to analyze the plurality of electric field sensing signals using an adaptive adjustment model, output adaptive electrode spacing configuration parameters, adjust the electrode spacing of the multi-ring sensing electrode group according to the adaptive electrode spacing configuration parameters, and re-receive the plurality of electric field sensing signals; The adaptive electrode spacing adjustment module further includes: a response difference calculation unit for calculating the response difference of the multiple groups of electric field induction signals to obtain a difference vector; a gradient change rate calculation unit for calculating the gradient change rate of the multiple groups of electric field induction signals to obtain a gradient vector; a signal stability analysis unit for introducing a short-time standard deviation to perform signal stability analysis on the multiple groups of electric field induction signals to obtain a stability vector; and a feature vector construction unit for constructing a feature vector using the difference vector, the gradient vector, and the stability vector. The adaptive adjustment model performs analysis based on the feature vector and outputs the adaptive electrode spacing configuration parameter.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, an adaptive adjustment method for a self-calibrating electroscope according to any one of claims 1 to 7 is implemented.

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