Pulse magnetic field intensity measurement and calibration system and method based on Hall sensor

Abstract

The invention discloses a pulse magnetic field intensity measurement and calibration system and method based on a Hall sensor. According to the system, a Hall sensor array is used for measuring pulse magnetic field intensity generated by a solenoid under different charging voltages and probe space positions, and multiple groups of voltage-position-magnetic field intensity coupling data are obtained; a three-dimensional mapping relation model of the magnetic field intensity, the space coordinates and the charging voltage is established based on the data, and high-precision quantitative characterization of space magnetic field distribution is achieved; according to the method, the three-dimensional mapping relation model is constructed through the system. According to the method, an accurate magnetic field intensity calibration basis can be provided for the inversion calculation of the particle movement speed time travel curve in an explosion physical experiment, the reliability of the mapping relation between the electromagnetic parameters and the space field intensity and the particle speed inversion precision under the transient explosion condition are remarkably improved, and key data support is provided for explosion driving mechanism research.

Description

Technical Field

[0001] This invention belongs to the field of experimental measurement and sensor calibration technology in explosion physics, and in particular relates to a pulse magnetic field strength measurement and calibration system and method based on Hall sensor. Background Technology

[0002] In research fields such as explosion physics, shock wave physics, and weapon damage effects, obtaining the velocity-time history curves of materials or interfaces under extreme transient loads (on the order of microseconds to nanoseconds) is crucial. Electromagnetic particle velocimeters are a widely used diagnostic technique for measuring such high-speed transient motions. The principle is as follows: a metal wire is placed on the surface to be measured and placed in a magnetic field; when an explosion or impact drives particle motion, the wire generates an induced electromotive force (EMF) by cutting magnetic field lines. This EMF is proportional to the product of the particle's velocity and the local magnetic field strength. By measuring the induced EMF, the particle's velocity can be deduced. However, the measurement accuracy of this technique heavily depends on the uniformity of the magnetic field space and the accuracy of the magnetic field strength calibration. In actual experiments, especially when using solenoids to generate pulsed magnetic fields, the magnetic field strength distribution exhibits significant spatial non-uniformity, and its strength has a complex nonlinear relationship with the charging voltage of the driving power supply. Currently, the commonly used calibration method involves manually measuring the magnetic field space point by point under static or quasi-static conditions using a single gaussmeter probe. This method has the following inherent drawbacks: Inefficiency and insufficient spatial resolution: Manual point-by-point measurement is extremely time-consuming, making it difficult to obtain sufficiently dense spatial field strength data and accurately construct a three-dimensional magnetic field distribution model of the entire sensitive area, resulting in insufficient quantification of spatial inhomogeneity. Mismatch between calibration and measurement conditions: Manual calibration is usually performed in low-power, continuous, or long-pulse operating modes, while the pulse solenoids used in explosion experiments actually operate in a transient, high-pulse state. Under these two different conditions, the magnetic field distribution and intensity may differ significantly due to factors such as eddy currents, thermal effects, and electromagnetic induction, making static calibration data unable to accurately reflect the real magnetic field environment during transient experiments. Lack of consideration for voltage coupling effects: Existing methods typically do not systematically establish a quantitative mapping relationship between charging voltage and spatial field strength. In experiments, small fluctuations in charging voltage directly lead to changes in magnetic field strength, and existing technologies lack an accurate model that can quickly query the corresponding spatial field strength based on real-time voltage, thus introducing additional calibration errors. Introducing inversion errors: The above factors collectively lead to uncertainty in the magnetic field strength benchmark value upon which particle velocity inversion is based. This uncertainty is directly transmitted to the final velocity measurement results, reducing the reliability and accuracy of the experimental data and making it difficult to meet the needs of high-precision explosion physics research.

[0003] Therefore, there is an urgent need in this field for a high-precision calibration method and system that can quickly and accurately measure the spatial distribution of pulsed magnetic fields and establish a comprehensive mapping relationship between magnetic field strength, spatial position, and driving voltage. Summary of the Invention

[0004] The purpose of this invention is to provide a pulse magnetic field intensity measurement and calibration system and method based on Hall sensors to solve the problems of low calibration efficiency, working condition mismatch and insufficient accuracy in the prior art, and to provide a reliable magnetic field reference for transient experiments.

[0005] To achieve the objectives of this invention, on one hand, this invention provides a pulse magnetic field strength measurement and calibration system based on a Hall sensor, including a solenoid, a high-voltage pulse charging power supply, a Hall sensor array, a three-dimensional displacement platform, a spatial positioning hole, a non-magnetic cylinder, a solenoid electrode, a converter, and a data acquisition and processing unit.

[0006] The solenoid is used to pass a pulse current to generate the pulse magnetic field to be measured;

[0007] The high-voltage pulse charging power supply is electrically connected to the solenoid through the solenoid electrode, and is used to provide the initial energy storage voltage for the pulse discharge circuit of the solenoid;

[0008] The Hall sensor array is arranged in the test area around the solenoid and is used to measure the pulse magnetic field strength signal at different spatial locations.

[0009] The three-dimensional displacement platform is used to fix and control the position of each probe in the Hall sensor array along the three-dimensional space axis;

[0010] The spatial positioning holes are arranged on the three-dimensional displacement platform and are used to locate the positions of the magnetic field in different spatial radial directions.

[0011] The non-magnetic cylinder serves as the rigid support and positioning base for the Hall sensor array;

[0012] The data acquisition and processing unit is connected to the Hall sensor array via the converter. It is used to synchronously acquire and record the magnetic field strength data measured by each Hall probe under different charging voltages and different spatial positions, and establish a three-dimensional mapping relationship model between the magnetic field strength B and the spatial coordinates (x,y,z) and charging voltage U based on the data: B=f(x,y,z,U).

[0013] The Hall sensor array includes several Hall probes, which are arranged in a matrix or a specific spatial path dot matrix.

[0014] The three-dimensional displacement platform achieves micron-level positioning accuracy through a ball screw drive and closed-loop feedback mechanism with an optical linear encoder. Specifically, it employs a dedicated control program developed based on Python to control the displacement platform for automated spatial scanning measurement through a pre-set scanning path matrix.

[0015] The data acquisition and processing unit includes a high-speed data acquisition card, a data processing module, and a modeling module;

[0016] The high-speed data acquisition card is used to capture transient signals of pulsed magnetic fields;

[0017] The data processing module is used to filter, denoise, and calibrate the collected data;

[0018] The modeling module is used to train and learn the processed data through multivariate function fitting or neural network machine learning algorithms to generate the three-dimensional mapping relationship model.

[0019] On the other hand, the present invention also provides a method for implementing the above-described pulse magnetic field strength measurement and calibration system based on a Hall sensor, comprising the following steps:

[0020] S1. Fix the Hall sensor array on the three-dimensional displacement platform and place it in the magnetic field space generated by the solenoid;

[0021] S2. Set the charging voltage value U of the high-voltage pulse charging power supply;

[0022] S3. Control the three-dimensional displacement platform to move the probe of the Hall sensor array to the spatial coordinate point (x,y,z).

[0023] S4. Trigger the high-voltage pulse charging power supply to discharge to the solenoid, and at the same time record the peak value B or time history curve of the pulse magnetic field strength measured at this position point through the data acquisition and processing unit.

[0024] S5. Repeat S3 and S4 to traverse a number of preset spatial coordinate points and obtain the spatial position-magnetic field strength data under the charging voltage U.

[0025] S6. Change the charging voltage U, and repeat S2 to S5 to obtain several sets of spatial position-magnetic field strength data under different charging voltages;

[0026] S7. Based on the data set, construct and output a three-dimensional mapping relationship model B = f(x,y,z,U) between the magnetic field strength B and the spatial coordinates (x,y,z) and the charging voltage U through data fitting or machine learning algorithms.

[0027] The three-dimensional mapping model B = f(x,y,z,U) of S7 determines the current charging voltage U. i i=1-5 and the instantaneous position of the particle (x i , y i , z i The magnetic field strength value under the pulsed magnetic field is measured; the induced electromotive force generated when the explosion-driven particle moves in the pulsed magnetic field is measured; based on the magnetic field strength value and the induced electromotive force, the instantaneous velocity of the particle is determined, and finally the particle velocity time history curve is derived.

[0028] The charging voltage is set to multiple adjustable levels, with preset values ​​of 100V, 200V, 300V, 400V and 500V, for system calibration and measurement.

[0029] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the measurement and calibration system method described above.

[0030] A non-transitory computer-readable storage medium stores computer instructions for causing the computer to execute the above-described method for implementing the measurement and calibration system.

[0031] A computer program product includes computer program instructions that, when executed on a computer, cause the computer to perform the above-described method for implementing the measurement and calibration system.

[0032] The significant advancement of this invention compared to existing technologies lies in:

[0033] (i) High efficiency and high spatial resolution: This invention uses a combination of Hall sensor array and automated three-dimensional displacement platform to achieve high-speed and automated scanning measurement of magnetic field space. It can acquire massive amounts of high spatial resolution (position, voltage, field strength) coupled data in a short time, which greatly improves calibration efficiency and data density.

[0034] (ii) Calibration conditions are consistent with experimental conditions: This invention directly measures under pulse discharge conditions and collects transient pulse magnetic field data, ensuring a high degree of consistency between the calibration environment and the actual magnetic field environment of the explosion experiment, fundamentally eliminating systematic errors caused by mismatch of operating conditions.

[0035] (III) A high-precision quantization mapping model was established: By introducing charging voltage as a key variable and using machine learning and other algorithms for multi-parameter fitting, this invention has for the first time constructed a three-dimensional mathematical model that can accurately describe the intrinsic relationship between voltage, position, and field strength. This model can quickly and accurately predict the magnetic field strength at any given voltage and spatial coordinates, realizing the digitization and predictability of the magnetic field environment.

[0036] (iv) Significantly improves inversion accuracy: The calibration benchmark provided by this invention can greatly reduce the uncertainty of magnetic field strength in the electromagnetic measurement method of particle velocity, thereby significantly improving the accuracy and reliability of the inversion calculation of the time history curve of explosion-driven particle motion velocity, and providing more accurate key data support for research on explosion physics, shock wave physics and other fields.

[0037] (v) Automation and intelligence: The entire calibration process is controlled by a program, which reduces human operation and subjective error, has good repeatability and a high degree of intelligence, and has good repeatability and engineering application prospects.

[0038] (vi) Through a systematic and automated measurement process combining "parameter (voltage) scanning" and "spatial scanning," this invention not only enables efficient and accurate measurement of the spatial distribution of pulsed magnetic fields, but more importantly, it establishes a universal and quantitative prediction model. Once established, this model can accurately predict the expected magnetic field strength at a point under the same solenoid structure by simply setting the charging voltage U and spatial coordinates, without requiring physical discharge measurements at each point. This greatly improves calibration efficiency and the ability to predict and control the magnetic field environment, providing a core tool for the precise application of pulsed magnetic fields.

[0039] To more clearly illustrate the functional characteristics and structural parameters of the present invention, further explanation is provided below in conjunction with the accompanying drawings and specific embodiments. Attached Figure Description

[0040] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0041] Figure 1 This is a schematic diagram of the system connection of the present invention;

[0042] Figure 2 This is a schematic diagram of the energized solenoid of the present invention;

[0043] Figure 3 This is a cross-sectional view of the energized solenoid of the present invention;

[0044] Figure 4 This is a flowchart of the method steps of the present invention;

[0045] Figure 5 This invention relates to the data processing software execution analysis process.

[0046] The attached figures are labeled as follows: 1-Solenoid, 2-High voltage pulse charging power supply, 3-Hall sensor array, 4-Three-dimensional precision displacement platform, 5-Spatial precision positioning hole, 6-Non-magnetic cylinder, 7-Solenoid electrode, 8-Converter, 9-Data acquisition and processing unit. Detailed Implementation

[0047] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] This invention provides a pulse magnetic field strength measurement and calibration system based on a Hall sensor, combined with... Figures 1-3 It includes a solenoid 1, a high-voltage pulse charging power supply 2, a Hall sensor array 3, a three-dimensional precision displacement platform 4, a spatial precision positioning hole 5, a non-magnetic cylinder 6, a solenoid electrode 7, a converter 8, and a data acquisition and processing unit 9.

[0049] The solenoid 1 is used to pass a pulse current to generate the pulse magnetic field to be measured;

[0050] The high-voltage pulse charging power supply 2 is electrically connected to the solenoid 1 through the solenoid electrode 7, and is used to provide a stable and precisely adjustable initial energy storage voltage for the pulse discharge circuit of the solenoid 1.

[0051] The Hall sensor array 3 is arranged in the test space area around the solenoid 1 and is used to measure the pulse magnetic field strength signal at different spatial locations.

[0052] The three-dimensional precision displacement platform 4 is used to fix and precisely control the position of each probe in the Hall sensor array 3 along the three-dimensional space axis.

[0053] The spatial precision positioning hole 5 is arranged on the three-dimensional precision displacement platform 4 and is used to precisely locate the position of the magnetic field in different spatial radial directions.

[0054] The non-magnetic cylinder 6 serves as the rigid support and positioning base for the Hall sensor array 3. In a strong pulsed magnetic field environment, it will not generate eddy currents, magnetization, or magnetic saturation.

[0055] The data acquisition and processing unit 9 is connected to the Hall sensor array 3 via the converter 8. It is used to synchronously acquire and record the magnetic field strength data measured by each Hall probe under different charging voltages and different spatial positions, and establish a three-dimensional mapping relationship model between the magnetic field strength B and the spatial coordinates x, y, z and the charging voltage U based on the data: B=f(x,y,z,U).

[0056] The Hall sensor array 3 includes several high-frequency response and high-sensitivity Hall probes, which are arranged in a matrix or a specific spatial path dot matrix.

[0057] The three-dimensional precision displacement platform 4 achieves micron-level positioning accuracy through a mechanism of high-precision ball screw drive and optical linear encoder closed-loop feedback. Specifically, it adopts a dedicated control program developed based on Python to control the displacement platform to perform automated spatial scanning measurement through a pre-set scanning path matrix (such as axial line scanning, radial surface scanning, or three-dimensional volume scanning mode).

[0058] The data acquisition and processing unit 9 includes a high-speed data acquisition card, a data processing module, and a modeling module;

[0059] The high-speed data acquisition card is used to capture transient signals of pulsed magnetic fields;

[0060] The data processing module is used to filter, denoise, and calibrate the collected data;

[0061] The modeling module is used to train and learn the processed data through multivariate function fitting or neural network machine learning algorithms to generate the three-dimensional mapping relationship model.

[0062] The present invention provides a method for implementing the above-described pulse magnetic field strength measurement and calibration system based on a Hall sensor, combined with... Figure 4 This includes the following steps:

[0063] S1. Fix the Hall sensor array 3 onto the three-dimensional precision displacement platform 4 and place it in the magnetic field space generated by the solenoid 1;

[0064] S2. Set the charging voltage value U of the high-voltage pulse charging power supply 2;

[0065] S3. Control the three-dimensional precision displacement platform 4 to move the probe of the Hall sensor array 3 to the spatial coordinate point (x,y,z).

[0066] S4. Trigger the high-voltage pulse charging power supply 2 to discharge to the solenoid 1, and at the same time record the peak value B or time history curve of the pulse magnetic field strength measured at this position point through the data acquisition and processing unit 9.

[0067] S5. Repeat S3 and S4 to traverse a number of preset spatial coordinate points and obtain the spatial position-magnetic field strength data under the charging voltage U.

[0068] S6. Change the charging voltage U, and repeat S2 to S5 to obtain several sets of spatial position-magnetic field strength data under different charging voltages;

[0069] S7. Based on the data set, construct and output a three-dimensional mapping relationship model B = f(x,y,z,U) between the magnetic field strength B and the spatial coordinates (x,y,z) and the charging voltage U through data fitting or machine learning algorithms.

[0070] The three-dimensional mapping model of S7 is used to provide a high-precision magnetic field strength calibration benchmark for electromagnetic induction measurement of particle velocity in transient explosion experiments, based on the real-time charging voltage and the spatial position of the particle.

[0071] The three-dimensional mapping model B = f(x,y,z,U) of S7 determines the current charging voltage U. i i=1-5 and the instantaneous position of the particle (x i ,y i ,z i The precise magnetic field strength value is obtained; the induced electromotive force generated when the explosion-driven particle moves in the pulsed magnetic field is measured; based on the precise magnetic field strength value and the induced electromotive force, the instantaneous velocity of the particle is determined, and finally the particle velocity time history curve is derived.

[0072] The charging voltage is set to be adjustable in multiple levels, with preset values ​​of 100V, 200V, 300V, 400V and 500V, so as to change the peak value of the pulse voltage in the solenoid in a stepwise manner, thereby generating standard pulse magnetic fields of different intensities for system calibration and measurement.

[0073] Example 1

[0074] ① System initialization and positioning: The three-dimensional precision displacement platform 4, equipped with the Hall sensor array 3, is fixed inside the non-magnetic cylinder 6. Then, the displacement platform is controlled to carefully and precisely insert the entire sensor probe assembly axially into the precise positioning hole 5 of the solenoid 1, numbered 1#-15#, ensuring its initial position is near the axial center of the solenoid, thus placing it within the space of the pulse magnetic field to be measured. Hardware connection and communication with the host computer software are then checked.

[0075] ② Set the charging voltage. Through the host computer software interface of the data acquisition and processing unit 9, set the charging voltage value U of the high-voltage pulse charging power supply 2. In this embodiment, the charging voltage is set to multiple adjustable levels, with typical preset values ​​of 100V, 200V, 300V, 400V, and 500V. The initial measurement usually starts with a lower voltage (such as 100V) to verify the system's safety and basic functions.

[0076] ③ Locate the measurement points and plan the scan path in the software. For example, first perform an axial (Z-axis) line scan to determine the uniform magnetic field area. Control the three-dimensional precision displacement platform 4 to drive the probe of the Hall sensor array 3 to move from the starting point (e.g., z = -50mm) to the first target spatial coordinate point (x0, y0, z0). In this embodiment, since the sensor array is fixed on the cylinder, its initial (x0, y0) usually corresponds to the central axis position of the solenoid.

[0077] ④ Single-point trigger measurement: After the platform stabilizes, the high-voltage pulse charging power supply 2 is automatically triggered by software to discharge to the solenoid 1. At the moment of discharge, a transient pulse magnetic field is generated inside the solenoid. Simultaneously, the data acquisition and processing unit 9 synchronously acquires and records the voltage signal output by the Hall sensor at this location. After conditioning by the converter 9 and processing by the built-in algorithm, the peak value B of the pulse magnetic field strength measured at this point is directly recorded. peak Or the complete magnetic field time history curve B(t). The data is automatically associated with and stored with the current spatial coordinates (x0, y0, z0) and charging voltage U (e.g., 100V).

[0078] ⑤ Single-voltage space scan, repeating steps ③ and ④. For example, the control platform moves incrementally along the Z-axis in set steps (e.g., 1mm or 5mm), scanning from z = -50mm to z = +50mm. Each time a new coordinate point (x0, y0, z) is reached... j This involves triggering a discharge and recording data. Ultimately, data corresponding to a series of spatial positions and magnetic field strengths along the axis are obtained at a charging voltage U=100V. This process can be extended to two-dimensional (XZ or YZ plane) or three-dimensional spatial scanning.

[0079] ⑥ Multi-voltage parameter scanning: After completing a spatial scan of one voltage level, change the charging voltage U of the high-voltage pulse charging power supply 2. For example, set the voltage sequentially to 200V, 300V, 400V, and 500V. For each new voltage value, repeat steps ② to ⑤. Each repetition performs a complete spatial scan. Finally, obtain a complete spatial location-magnetic field strength data set corresponding to each voltage at multiple charging voltage levels (U1, U2, U3...). This dataset forms the basis for system calibration and modeling.

[0080] ⑦ Data modeling and output: The data acquisition and processing unit 9 calls its built-in data processing module, through... Figure 5 The data processing step involves a comprehensive analysis of all the data sets obtained in step ⑤.

[0081] Regarding the theoretical correlation, firstly, using the basic electromagnetic theory model of the solenoid, an initial relationship is established between the charging voltage U and the peak value B0 of the theoretical magnetic field at the center point (reference point) of the solenoid.

[0082] Spatial distribution modeling: Based on detailed spatial scan data at a certain voltage (e.g., 300V), an accurate model of the magnetic field strength B under that voltage as a function of spatial coordinates (x, y, z) is constructed through polynomial surface fitting, spatial interpolation, or machine learning algorithms (e.g., support vector regression SVR, neural networks), i.e., B = g(x, y, z; U = constant).

[0083] Voltage-magnetic field strength scaling modeling analyzes the peak magnetic field data at the same spatial location under different voltages to determine the scaling relationship between voltage U and peak magnetic field B (usually a highly linear relationship), i.e., B = k(U) ×h(x, y, z), where k(U) is a voltage-related scaling factor.

[0084] The final integrated model combines the spatial distribution model with the voltage scaling relationship to construct and output a comprehensive and predictable three-dimensional mapping relationship model between the magnetic field strength B and the spatial coordinates (x, y, z) and the charging voltage U, i.e., B=f(x, y,z, U).

[0085] Example 2

[0086] S101. A Hall sensor array 3 containing 15 linear Hall sensors is fixedly mounted on a three-dimensional precision displacement platform 4 made of aluminum material at equal axial intervals (e.g., 10mm intervals). Each sensor is pre-calibrated, and its sensitivity coefficient is known (1mV / mT). The three-dimensional precision displacement platform 4 is securely mounted on the drive end of a non-magnetic cylinder 6. Using the displacement platform controller, the entire probe assembly (i.e., the cylinder with the sensor array) is carefully inserted along the axis into the spatial precision positioning hole 5 of the solenoid 1 under test. After insertion, the 15 sensors are numbered sequentially from 1# to 15#, with sensor #8, located in the middle of the cylinder, initially aligned approximately with the geometric center of the solenoid. All cables are connected, and the sensor array output is connected to the signal converter 8, which in turn is connected to the data acquisition and processing unit 9. The discharge trigger signal and status monitoring signal of the high-voltage pulse charging power supply 2 are also connected to the data acquisition unit. Ensure that all devices communicate normally with the host computer control software.

[0087] S102. In the host computer control software, set the charging voltage U of the high-voltage pulse charging power supply 2 to 100V (initial safety verification setting). In the software path settings, set the initial scan to an axial (Z-axis) line scan. Scan range: from Z = -60 mm to Z = +60 mm (with the solenoid center as Z=0). Scan step size: ΔZ = 2 mm. Scan speed is set to 1 mm / s. The software will automatically generate a sequence containing 61 target coordinate points (X0, Y0, Zi), where (X0, Y0) is the initial axis position.

[0088] S103. Click the software scan button to enter the automated process; the 3D precision displacement platform 4 moves the sensor array to the first target point (X0, Y0, Z=-60mm) according to the command. After the platform is in place, the software delays for 100ms to ensure that the mechanical vibration stops, and then automatically triggers the high-voltage pulse power supply 2 to discharge the solenoid 1. When the discharge is triggered, the data acquisition unit 10 starts synchronously, and simultaneously acquires the voltage signals transmitted from 15 Hall sensors through converter 9 at a high sampling rate (e.g., 50 MHz). The software's built-in algorithm processes the 15 acquired waveforms in real time and extracts the peak value B of the pulse magnetic field at each sensor position. peak (Unit: mT) and the complete magnetic field time history curve B(t). All data (including spatial coordinates (X0, Y0, Z=-60mm), charging voltage U=100V, peak values ​​and waveforms of 15 sensors) are automatically packaged and stored; then, the platform moves to the next point (X0, Y0, Z=-58mm) and repeats S102-103. This process is automatically looped until all coordinate points are measured. The software generates a dataset of the axial distribution of the magnetic field along the solenoid axis under the condition of U=100V.

[0089] S104. In the software, the charging voltage U is set sequentially to 200V, 300V, 400V, and 500V. For each new voltage value, the software automatically repeats the complete axial line scan of S103. Before each change to a higher voltage, the software will display a safety confirmation dialog box, which the operator confirms before continuing. The system obtains magnetic field strength data at identical spatial points under five different charging voltages (100V, 200V, 300V, 400V, 500V), forming a multidimensional calibration dataset.

[0090] S105. For radial distribution measurement, select the axial position of the magnetic field (e.g., Z=0) and perform a two-dimensional radial (XY plane) scan. For example, in the Z=0 plane, measure the radial distribution magnetic field strength using 15 linear Hall sensors. After all data acquisition is complete, the data processing software executes the following analysis procedure: Figure 5As shown.

[0091] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0092] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is limited by the appended claims and their equivalents.

Claims

1. A pulse magnetic field strength measurement and calibration system based on a Hall sensor, characterized in that, It includes a solenoid, a high-voltage pulse charging power supply, a Hall sensor array, a three-dimensional displacement platform, a spatial positioning hole, a non-magnetic cylinder, a solenoid electrode, a converter, and a data acquisition and processing unit; The solenoid is used to pass a pulse current to generate the pulse magnetic field to be measured; The high-voltage pulse charging power supply is electrically connected to the solenoid through the solenoid electrode, and is used to provide the initial energy storage voltage for the pulse discharge circuit of the solenoid; The Hall sensor array is arranged in the test area around the solenoid and is used to measure the pulse magnetic field strength signal at different spatial locations. The three-dimensional displacement platform is used to fix and control the position of each probe in the Hall sensor array along the three-dimensional space axis; The spatial positioning holes are arranged on the three-dimensional displacement platform and are used to locate the positions of the magnetic field in different spatial radial directions. The non-magnetic cylinder serves as the rigid support and positioning base for the Hall sensor array; The data acquisition and processing unit is connected to the Hall sensor array via the converter. It is used to synchronously acquire and record the magnetic field strength data measured by each Hall probe under different charging voltages and different spatial positions, and establish a three-dimensional mapping relationship model between the magnetic field strength B and the spatial coordinates (x,y,z) and charging voltage U based on the data: B=f(x,y,z,U).

2. The pulse magnetic field strength measurement and calibration system based on a Hall sensor according to claim 1, characterized in that, The Hall sensor array includes several Hall probes, which are arranged in a matrix or a specific spatial path dot matrix.

3. The pulse magnetic field strength measurement and calibration system based on a Hall sensor according to claim 1, characterized in that, The three-dimensional displacement platform achieves micron-level positioning accuracy through a ball screw drive and closed-loop feedback mechanism with an optical linear encoder. Specifically, it employs a dedicated control program developed based on Python to control the displacement platform for automated spatial scanning measurement through a pre-set scanning path matrix.

4. The pulse magnetic field strength measurement and calibration system based on a Hall sensor according to claim 1, characterized in that, The data acquisition and processing unit includes a high-speed data acquisition card, a data processing module, and a modeling module; The high-speed data acquisition card is used to capture transient signals of pulsed magnetic fields; The data processing module is used to filter, denoise, and calibrate the collected data; The modeling module is used to train and learn the processed data through multivariate function fitting or neural network machine learning algorithms to generate the three-dimensional mapping relationship model.

5. A method for implementing the pulse magnetic field strength measurement and calibration system based on a Hall sensor as described in any one of claims 1-4, characterized in that, Includes the following steps: S1. Fix the Hall sensor array on the three-dimensional displacement platform and place it in the magnetic field space generated by the solenoid; S2. Set the charging voltage value U of the high-voltage pulse charging power supply; S3. Control the three-dimensional displacement platform to move the probe of the Hall sensor array to the spatial coordinate point (x,y,z). S4. Trigger the high-voltage pulse charging power supply to discharge to the solenoid, and at the same time record the peak value B or time history curve of the pulse magnetic field strength measured at this position point through the data acquisition and processing unit. S5. Repeat S3 and S4 to traverse a number of preset spatial coordinate points and obtain the spatial position-magnetic field strength data under the charging voltage U. S6. Change the charging voltage U, and repeat S2 to S5 to obtain several sets of spatial position-magnetic field strength data under different charging voltages; S7. Based on the data set, construct and output a three-dimensional mapping relationship model B = f(x,y,z,U) between the magnetic field strength B and the spatial coordinates (x,y,z) and the charging voltage U through data fitting or machine learning algorithms.

6. The method for measuring and calibrating pulse magnetic field strength based on a Hall sensor according to claim 5, characterized in that, The three-dimensional mapping model B = f(x,y,z,U) of S7 determines the current charging voltage U. i i=1-5 and the instantaneous position of the particle (x i , y i , z i The magnetic field strength value under the pulsed magnetic field is measured; the induced electromotive force generated when the explosion-driven particle moves in the pulsed magnetic field is measured; based on the magnetic field strength value and the induced electromotive force, the instantaneous velocity of the particle is determined, and finally the particle velocity time history curve is derived.

7. The method for measuring and calibrating pulse magnetic field strength based on a Hall sensor according to claim 6, characterized in that, The charging voltage is set to multiple adjustable levels, with preset values ​​of 100V, 200V, 300V, 400V and 500V, for system calibration and measurement.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 5 to 7.

9. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions for causing the computer to perform the method described in any one of claims 5 to 7.

10. A computer program product comprising computer program instructions, characterized in that, When the computer program instructions are executed on a computer, the computer causes the computer to perform the method as described in any one of claims 5 to 7.

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