Magnetic field interference dynamic calibration method and system under double-sensor orthogonal layout

Abstract

The invention provides a magnetic field interference dynamic calibration method and system under double-sensor orthogonal layout, and the method comprises the steps: enabling a preset material magnetic conductivity dynamic response map to be matched with the magnetic conductivity characteristics of a metal object close to double sensors, and obtaining the magnetic conductivity disturbance correlation characteristics; correlating the magnetic conductivity disturbance correlation characteristics with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity predicted value; quantizing the predicted value of the disturbance intensity of the metal object to obtain the magnetic field distortion of the surfaces of the double sensors; performing tuning processing on the circuit parameters corresponding to the magnetic field distortion amount by using a preset impedance matching feedback network to generate optimized impedance parameters; and acquiring an orthogonal magnetic field signal by using double sensors, correcting the orthogonal magnetic field signal based on the optimized impedance parameter, and generating a calibration magnetic field signal for dynamic interference calibration. According to the invention, cooperative inhibition of eddy current effect and hysteresis attenuation in a metal near-field environment is realized, and the real-time bottleneck of a traditional calibration method in a dynamic moving scene is broken through.

Description

Technical Field

[0001] The present invention relates to the technical field of dynamic calibration of magnetic field interference, and in particular to a dynamic calibration method and system for magnetic field interference under an orthogonal layout of two sensors. Background Art

[0002] With the widespread adoption of automotive electronic control systems in intelligent driving and electrification, the impact of metal near-field interference on the accuracy of magnetic field sensors is becoming increasingly prominent, especially in metal-intensive environments such as engine compartments and chassis. In complex scenarios characterized by vehicle vibration, temperature fluctuations, and the coupling of multiple metal components, dynamic, real-time suppression of metal interference has become a technical necessity to ensure the reliability of key systems such as steering sensing and motor control. In automotive magnetic field measurement systems employing a dual-sensor orthogonal layout, effectively addressing the local magnetic field distortion caused by the proximity of metal components has become a core bottleneck restricting system performance.

[0003] The current mainstream approach is a magnetic field interference mitigation method based on multi-band impedance fusion modeling. This approach estimates the distorted magnetic field distribution caused by interference sources by constructing eddy current response models of metal components at different frequencies. It also incorporates adaptive filtering mechanisms to compensate for sensor signals. Furthermore, it leverages the skin effect of metal materials in alternating magnetic fields to enhance system robustness. Existing approaches have several inherent flaws, including insufficient model generalization due to the significant differences in metal geometry and material properties in engine components, chassis structures, and other applications. Compensation mechanisms are focused on static or low-speed scenarios, making it difficult to quickly respond to dynamic interference caused by vehicle acceleration and deceleration, as well as bumpy roads. Furthermore, they lack quantitative analysis of local magnetic field distortion on the sensor surface, making them incapable of meeting the measurement requirements of scenarios such as high-precision motor rotor positioning. Summary of the Invention

[0004] The present invention provides a method and system for dynamic calibration of magnetic field interference under a dual-sensor orthogonal layout, which is used to solve the problems in the existing technology such as insufficient model generalization ability due to the huge differences in metal geometry and material of engine components, chassis structures, etc.; the compensation mechanism focuses on static or low-speed scenarios, which is difficult to quickly respond to dynamic interference caused by vehicle acceleration and deceleration and bumpy roads; and the lack of quantitative analysis of local magnetic field distortion on the sensor surface cannot meet the measurement requirements of scenarios such as high-precision motor rotor positioning.

[0005] In a first aspect, the present invention provides a method for dynamic calibration of magnetic field interference in a dual-sensor orthogonal layout, comprising:

[0006] Matching the preset material magnetic permeability dynamic response spectrum with the magnetic permeability characteristics of a metal object close to the preset dual sensors to obtain the magnetic permeability disturbance correlation characteristics;

[0007] Associating the magnetic permeability disturbance correlation feature with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value;

[0008] quantifying the predicted value of the metal object disturbance intensity using a preset magnetic domain wall displacement sensing model to obtain a magnetic field distortion amount of the surface of the preset dual sensor;

[0009] Applying a preset impedance matching feedback network to tune circuit parameters corresponding to the magnetic field distortion amount to generate optimized impedance parameters;

[0010] The preset dual sensors are used to collect orthogonal magnetic field signals, and the orthogonal magnetic field signals are corrected based on the optimized impedance parameters to generate calibration magnetic field signals for dynamic interference calibration.

[0011] Optionally, a preset material magnetic permeability dynamic response spectrum is matched with a magnetic permeability characteristic of a metal object close to a preset dual sensor to obtain a magnetic permeability disturbance correlation characteristic, including:

[0012] Extracting basic magnetic permeability characteristics of a metal object close to a preset dual sensor from a preset material magnetic permeability dynamic response spectrum;

[0013] Correlating the basic magnetic permeability characteristics with a distance parameter between the preset dual sensor and the metal object to generate a spatial coupling pattern;

[0014] The spatial coupling mode is superimposed with the interference weight in the preset material magnetic permeability dynamic response map to generate a magnetic permeability disturbance correlation feature.

[0015] Optionally, associating the magnetic permeability disturbance correlation feature with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value includes:

[0016] Comparing the magnetic permeability disturbance associated feature with a preset metal-distance coordinate according to a preset magnetic field disturbance intensity gradient to generate a feature mapping position;

[0017] Indexing the interference intensity value of the preset magnetic field disturbance intensity gradient at the feature map position, converting the interference intensity value using a preset sensor environment factor to generate a gradient impact value;

[0018] The gradient influence value is superimposed on the reference interference value of the magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value.

[0019] Optionally, quantifying the predicted value of the metal object disturbance intensity using a preset magnetic domain wall displacement sensing model to obtain the magnetic field distortion amount of the surface of the preset dual sensor includes:

[0020] Decomposing the predicted value of the disturbance intensity of the metal object based on a preset magnetic domain wall displacement sensing model to obtain an axial prediction component and a radial prediction component;

[0021] Matching the axial prediction component with a preset eddy current coupling rule to generate eddy current displacement parameters;

[0022] Matching the radial prediction component with a preset hysteresis coupling rule to generate a hysteresis displacement parameter;

[0023] The eddy current displacement parameter, the hysteresis displacement parameter and the reference displacement of the preset magnetic domain wall displacement sensing model are superimposed to generate the magnetic field distortion of the surface of the preset dual sensor.

[0024] Optionally, applying a preset impedance matching feedback network to tune circuit parameters corresponding to the magnetic field distortion to generate optimized impedance parameters includes:

[0025] Analyzing the waveform characteristics of the magnetic field distortion using a preset impedance matching feedback network to generate distortion frequency parameters and distortion amplitude parameters;

[0026] Matching the distortion frequency parameter with a preset impedance frequency response curve to generate a frequency compensation value;

[0027] Matching the distortion amplitude parameter with a preset impedance amplitude response curve to generate an amplitude compensation value;

[0028] The frequency compensation value and the amplitude compensation value are applied to tune the impedance component of the circuit parameter corresponding to the magnetic field distortion amount to generate an optimized impedance parameter.

[0029] Optionally, applying the frequency compensation value and the amplitude compensation value to tune the impedance component of the circuit parameter corresponding to the magnetic field distortion amount to generate the optimized impedance parameter includes:

[0030] Decomposing the impedance component of the circuit parameter corresponding to the magnetic field distortion to generate a capacitive reactance component, an inductive reactance component, and a resistive component;

[0031] Adjusting the capacitance parameter of the capacitive reactance component according to the frequency compensation value to generate an optimized capacitive reactance parameter;

[0032] Adjusting the inductance parameter of the inductive reactance component according to the amplitude compensation value to generate an optimized inductive reactance parameter;

[0033] The circuit parameters are reconstructed based on the optimized capacitive reactance parameter, the optimized inductive reactance parameter, and the resistive component to generate optimized impedance parameters.

[0034] Optionally, using the preset dual sensors to collect orthogonal magnetic field signals, correcting the orthogonal magnetic field signals based on the optimized impedance parameters, and generating calibration magnetic field signals for dynamic interference calibration, includes:

[0035] Configuring the optimized impedance parameters in the signal acquisition circuit of the preset dual sensor to generate an optimized signal channel;

[0036] Using the optimized signal channel to collect orthogonal magnetic field signals, applying a preset signal conditioning unit to convert the orthogonal magnetic field signals to generate initial orthogonal signals;

[0037] Decomposing the initial orthogonal signal according to a preset orthogonal separation rule to generate a first axial signal and a second axial signal;

[0038] A preset cross-interference cancellation operation is performed using the first axial signal and the second axial signal to generate a calibration magnetic field signal.

[0039] In a second aspect, the present invention provides a magnetic field interference dynamic calibration system in a dual-sensor orthogonal layout, comprising:

[0040] A matching module is used to match a preset material magnetic permeability dynamic response spectrum with the magnetic permeability characteristics of a metal object close to the preset dual sensors to obtain a magnetic permeability disturbance correlation feature;

[0041] an association module, configured to associate the magnetic permeability disturbance association feature with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value;

[0042] a quantification module, configured to quantify the predicted value of the metal object disturbance intensity using a preset magnetic domain wall displacement sensing model to obtain a magnetic field distortion amount of the surface of the preset dual sensor;

[0043] A tuning module, configured to tune the circuit parameters corresponding to the magnetic field distortion using a preset impedance matching feedback network to generate optimized impedance parameters;

[0044] The calibration module is used to collect orthogonal magnetic field signals using the preset dual sensors, calibrate the orthogonal magnetic field signals based on the optimized impedance parameters, and generate calibration magnetic field signals for dynamic interference calibration.

[0045] In a third aspect, the present invention provides a computing device comprising a processor and a memory, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute a dynamic calibration method for magnetic field interference under a dual-sensor orthogonal layout as described in any one of the first aspects.

[0046] In a fourth aspect, the present invention provides a computer storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement a dynamic calibration method for magnetic field interference in a dual-sensor orthogonal layout as described in any one of the first aspects.

[0047] The present invention generates magnetic permeability disturbance correlation features by precisely matching the dynamic response spectrum of the material's magnetic permeability with the magnetic permeability characteristics of the metal object, predicts the disturbance intensity of the metal object by combining the magnetic field disturbance intensity gradient correlation, quantifies the magnetic field distortion on the sensor surface using the magnetic domain wall displacement sensing model, and optimizes the impedance by dynamically tuning the circuit parameters based on the impedance matching feedback network. Finally, an anti-interference calibration magnetic field signal is generated through dual-sensor orthogonal signal acquisition and correction, achieving coordinated suppression of eddy current effects and hysteresis attenuation in the metal near-field environment, breaking through the real-time bottleneck of traditional calibration methods in dynamic mobile scenarios.

[0048] Furthermore, by extracting the basic magnetic permeability characteristics of metals from the material magnetic permeability map, correlating them with the distance parameters between the dual sensors and the metal object to generate a spatial coupling pattern, and then superimposing the preset interference weights of the map to construct the magnetic permeability disturbance correlation characteristics, the three-dimensional physical binding of metal type, distance parameter and interference intensity is achieved, which significantly improves the prediction accuracy of metal near-field disturbances, provides high-reliability input for subsequent gradient correlation, and solves the problem of identifying interference from sudden changes in magnetic permeability of metal objects such as keys and watches from the source.

[0049] These and other aspects of the present invention will become more readily apparent from the following description of the embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0051] Figure 1 A flow chart of a method for dynamic calibration of magnetic field interference in a dual-sensor orthogonal layout according to an embodiment of the present invention;

[0052] Figure 2 A schematic structural diagram of a magnetic field interference dynamic calibration system with a dual-sensor orthogonal layout provided by an embodiment of the present invention;

[0053] Figure 3 A schematic diagram of the structure of a computing device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0055] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., and do not represent the order of precedence, nor do they limit "first" and "second" to be different types.

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0057] Figure 1 The present invention provides a flowchart of a method for dynamic calibration of magnetic field interference under a dual-sensor orthogonal layout. Figure 1 As shown, the method includes:

[0058] In metal-dense environments such as vehicle engine compartments and chassis, existing automotive magnetic field calibration technology faces three core defects: First, it is unable to dynamically distinguish the differential interference of metal types and vibration displacement on the magnetic field of engine components, chassis structures, etc., resulting in a surge in the misjudgment rate when metal parts are close to the sensor; second, traditional on-board circuits lack dynamic adjustment capabilities, making it difficult to suppress high-frequency signal distortion caused by metal eddy currents and amplitude attenuation caused by hysteresis; third, the orthogonal layout of wheel speed sensors and steering angle sensors is subject to increased signal crosstalk when interfered with by the near-field interference of metal, and the static calibration mode cannot meet the real-time requirements of dynamic conditions such as vehicle acceleration and deceleration and bumpy roads. In response to these problems, the research and development ideas of the present invention are: to achieve physical binding of engine material, chassis alloy type and installation distance by constructing a dynamic matching mechanism between material magnetic permeability maps and automobile metal characteristics; to predict the real-time interference intensity of metal parts in vehicle movement based on the correlation of magnetic field disturbance intensity gradient; to quantify the magnetic field distortion caused by metal vibration on the sensor surface using a magnetic domain wall displacement sensing model; to dynamically tune the on-board circuit parameters in combination with an impedance matching feedback network to neutralize eddy current and hysteresis effects; and finally to generate anti-interference signals through dual-sensor orthogonal signal acquisition and hardware-level correction, forming a full-link collaborative calibration system from metal identification, interference prediction, distortion quantification to circuit reconstruction, which completely solves the problem of dynamic magnetic field interference suppression of vehicles in metal-dense environments. Based on this, the present invention provides a method for dynamic calibration of magnetic field interference under a dual-sensor orthogonal layout, such as Figure 1 ,include:

[0059] Step 101: Matching a preset material magnetic permeability dynamic response spectrum with the magnetic permeability characteristics of a metal object close to a preset dual sensor to obtain a magnetic permeability disturbance correlation feature.

[0060] In this step, the preset material magnetic permeability dynamic response map refers to a database that pre-stores the magnetic permeability change laws of various metal materials at different distances, which is used to match the characteristics of metal objects; magnetic permeability characteristics refer to parameters in the inherent properties of metal objects that reflect the magnetic field response ability, including the magnetic response characteristics of material components; matching operation refers to the process of comparing the real-time detected metal characteristics with the map data to identify the correlation between material type and distance; magnetic permeability disturbance correlation characteristics refer to the three-dimensional physical feature vector that integrates metal type, distance parameters and interference weights.

[0061] In an embodiment of the present invention, the magnetic permeability characteristics of a metal object close to a preset dual sensor are first identified through a preset material magnetic permeability dynamic response map; secondly, the magnetic permeability characteristics of the metal object are matched with the material data pre-stored in the map; finally, a magnetic permeability disturbance correlation feature is generated that reflects the coupling relationship between metal type and distance.

[0062] Step 102: Correlate the magnetic permeability disturbance correlation feature with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value.

[0063] In this step, the preset magnetic field disturbance intensity gradient refers to the predefined metal interference intensity distribution model, which includes the mapping relationship between metal-distance coordinates and interference values; the association operation refers to the process of mapping the magnetic permeability disturbance association characteristics to gradient coordinates to index the interference value; the metal object disturbance intensity prediction value refers to the physical parameter generated by gradient association to quantify the metal near-field interference intensity.

[0064] In an embodiment of the present invention, the magnetic permeability disturbance correlation feature is first associated with a preset magnetic field disturbance intensity gradient; secondly, the physical disturbance intensity is mapped based on the metal-distance coordinates pre-stored in the gradient; and finally, a predicted value of the metal object disturbance intensity is generated.

[0065] Step 103: quantify the predicted value of the metal object disturbance intensity using a preset magnetic domain wall displacement sensing model to obtain the magnetic field distortion of the surface of the preset dual sensor.

[0066] In this step, the preset magnetic domain wall displacement sensing model refers to the sensor surface magnetic field distortion calculation rule library established based on the magnetic domain motion theory; the quantization operation refers to the physical conversion process of decomposing the disturbance prediction value into axial components or radial components and converting them into displacement parameters; the magnetic field distortion refers to the vector parameter that characterizes the degree of magnetic field deformation on the sensor surface due to metal eddy currents and hysteresis.

[0067] In an embodiment of the present invention, a preset magnetic domain wall displacement sensing model is first used to decompose the predicted value of the metal object disturbance intensity into axial and radial components; secondly, the axial component is converted into eddy current displacement parameters according to the eddy current coupling rule; then, the radial component is converted into hysteresis displacement parameters according to the hysteresis coupling rule; finally, the reference displacement is superimposed to generate the magnetic field distortion of the preset dual sensor surface.

[0068] Step 104: Using a preset impedance matching feedback network to tune the circuit parameters corresponding to the magnetic field distortion amount to generate optimized impedance parameters.

[0069] In this step, the preset impedance matching feedback network refers to a hardware system that can dynamically adjust the circuit impedance, including a frequency response curve or an amplitude response curve; the circuit parameters refer to the set of capacitive reactance, inductive reactance and resistive components in the signal acquisition circuit; the tuning process refers to the operation of modifying the capacitive reactance and inductive reactance parameters through compensation values ​​to optimize the circuit's anti-interference performance; the optimized impedance parameters refer to the circuit impedance configuration set after the capacitive reactance and inductive reactance adjustment are completed.

[0070] In an embodiment of the present invention, the waveform characteristics of the magnetic field distortion are first analyzed through a preset impedance matching feedback network; secondly, the distortion frequency parameters are matched with the impedance frequency response curve to generate a frequency compensation value; then, the distortion amplitude parameters are matched with the impedance amplitude response curve to generate an amplitude compensation value; finally, the capacitive reactance and inductive reactance components of the dual compensation value tuning circuit parameters are used to generate optimized impedance parameters.

[0071] Step 105: using the preset dual sensors to collect orthogonal magnetic field signals, calibrating the orthogonal magnetic field signals based on the optimized impedance parameters, and generating calibration magnetic field signals for dynamic interference calibration.

[0072] In this step, the orthogonal magnetic field signal refers to the original magnetic field vector data collected by the dual sensors in the vertical direction of space; the correction operation refers to the processing flow of purifying the orthogonal signal through signal decomposition and cross-interference cancellation; the calibration magnetic field signal refers to the high-precision magnetic field output data after eliminating the metal near-field interference; the dynamic interference calibration operation refers to the closed-loop control process of real-time suppression of metal time-varying interference in mobile scenes.

[0073] In an embodiment of the present invention, the optimized impedance parameters are first configured to the signal acquisition circuit of a preset dual sensor to form an optimized signal channel; secondly, the original orthogonal magnetic field signal is acquired through this channel; then, a preset signal conditioning unit is used to perform amplitude normalization and phase alignment to generate an initial orthogonal signal; then, the initial signal is decomposed into a first axial signal and a second axial signal; finally, a cross-interference cancellation operation is performed to generate a calibration magnetic field signal to complete dynamic interference calibration.

[0074] For example, in a metal near-field scenario where the crankshaft position sensor of an automobile engine is close to the turbocharger housing, the magnetic permeability disturbance correlation feature is first generated by matching the ferromagnetic characteristics of the turbocharger high-temperature alloy with the automobile vibration displacement parameters through the magnetic permeability map of the vehicle material; secondly, this feature is correlated with the magnetic field disturbance intensity gradient of the automobile engine compartment to predict the dynamic interference intensity of the metal parts; then, the magnetic domain wall displacement sensing model is used to quantify the composite distortion caused by exhaust eddy currents and thermal hysteresis effects on the surface of the automobile sensor; then, the capacitive reactance and inductive reactance parameters of the automobile signal acquisition circuit are tuned through an impedance matching feedback network to generate an optimized impedance configuration; finally, the automobile dual sensor collects the crankshaft speed signal based on the anti-interference channel, and the dual-axial signal is processed and decomposed by the vehicle's high-temperature electromagnetic noise conditioning unit, and the vehicle's high-voltage ignition interference cancellation operation is performed to output calibrated speed data, thereby eliminating the magnetic field distortion caused by the turbocharger vibration in real time and ensuring that the vehicle control system accurately obtains the crankshaft position information.

[0075] The embodiment of the present invention accurately matches the metal characteristics of automobile engine components through the material magnetic permeability map and correlates the gradient to predict the interference intensity, combines the magnetic domain wall model to quantify the surface distortion of the crankshaft position sensor, and uses the impedance network to dynamically tune the circuit parameters of the vehicle ignition control unit to optimize the signal acquisition channel. Finally, through orthogonal signal decomposition and interference cancellation, anti-interference magnetic field data is generated, realizing the coordinated optimization of high-frequency eddy current suppression and hysteresis compensation in the near-field environment of metals such as automobile piston connecting rods, breaking through the real-time bottleneck of traditional static calibration in vehicle vibration conditions.

[0076] In order to solve the problem of insufficient recognition accuracy of the coupling effect of metal object type and distance on magnetic field interference, this step generates a spatial coupling pattern by extracting basic magnetic permeability characteristics and associated distance parameters, and superimposes interference weights to construct magnetic permeability disturbance correlation characteristics. The present invention provides a specific embodiment, step 101, matching a preset material magnetic permeability dynamic response map with the magnetic permeability characteristics of a metal object close to a preset dual sensor to obtain a magnetic permeability disturbance correlation characteristic, specifically including the following steps:

[0077] Step 111: extracting basic magnetic permeability characteristics of a metal object close to the preset dual sensors from a preset material magnetic permeability dynamic response spectrum.

[0078] In this step, the basic magnetic permeability characteristics refer to the inherent properties of the metal material extracted from the spectrum, reflecting its magnetic field response capability without the influence of distance.

[0079] In an embodiment of the present invention, the type of metal object close to the preset dual sensors is first identified through a preset material magnetic permeability dynamic response map; secondly, the basic magnetic permeability characteristics of the metal object at a specific distance are extracted; finally, the basic magnetic permeability characteristics reflecting the inherent magnetic response characteristics of the material are generated.

[0080] Step 112: Correlate the basic magnetic permeability characteristics with the distance parameter between the preset dual sensors and the metal object to generate a spatial coupling pattern.

[0081] In this step, the association operation refers to the physical binding process of combining the basic magnetic permeability characteristics with the distance parameters to construct the distance-magnetic permeability change relationship; the spatial coupling mode refers to the quantitative model that characterizes the dynamic attenuation or enhancement of metal magnetic permeability with sensor distance.

[0082] In an embodiment of the present invention, first, the real-time distance parameters between the preset dual sensors and the metal object are obtained; second, the basic magnetic permeability characteristics are associated with the distance parameters; and finally, a spatial coupling pattern is generated that characterizes the variation law of the metal magnetic permeability with distance.

[0083] Step 113: superimposing the spatial coupling mode and the interference weight in the preset material magnetic permeability dynamic response map to generate a magnetic permeability disturbance correlation feature.

[0084] In this step, the interference weight refers to the interference coefficient related to the metal type pre-stored in the map, which is used to quantify the magnetic interference intensity of different metals; the superposition operation refers to the calculation process of fusing the spatial coupling pattern and the interference weight according to physical rules to form a three-dimensional disturbance feature.

[0085] In an embodiment of the present invention, first, the preset interference weight corresponding to the metal type is called from the material magnetic permeability dynamic response map; secondly, the spatial coupling mode and the interference weight are superimposed; finally, the magnetic permeability disturbance correlation feature is generated that integrates material properties, distance effects and interference intensity.

[0086] The embodiment of the present invention generates a spatial coupling pattern by extracting the basic magnetic permeability characteristics of automobile cylinder cast iron and correlating them with the real-time distance parameters of the crankshaft sensor and the piston. The superimposed graph presets the automobile cylinder liner interference weights to construct the magnetic permeability disturbance correlation characteristics, thereby realizing the triple synergy of vehicle engine metal type identification, thermal expansion distance modeling, and knock interference weighting, and providing high-precision input for the prediction of metal near-field interference in the automobile cylinder.

[0087] To improve the environmentally adaptive quantification capability of metal near-field interference intensity, this step locates the feature position by comparing the metal-distance coordinates, converts the index interference value into a gradient impact value through the sensor environmental factor, and superimposes the baseline interference value to output a predicted value. The present invention provides a specific embodiment, step 102, which associates the magnetic permeability disturbance correlation feature with a preset magnetic field disturbance intensity gradient to generate a predicted value of the metal object disturbance intensity, specifically including the following steps:

[0088] Step 201: Compare the magnetic permeability disturbance associated feature with a preset metal-distance coordinate according to a preset magnetic field disturbance intensity gradient to generate a feature mapping position.

[0089] In this step, the preset metal-distance coordinate refers to a two-dimensional physical coordinate system with the metal type as the horizontal axis and the distance value as the vertical axis, which is used to locate the interference intensity distribution; the comparison operation refers to the process of matching the magnetic permeability disturbance-related features with the coordinate nodes to determine their positions in the gradient space; the feature mapping position refers to the physical coordinate point in the metal-distance coordinate that precisely corresponds to the magnetic permeability feature.

[0090] In an embodiment of the present invention, the metal-distance coordinate system is first obtained through a preset magnetic field disturbance intensity gradient; secondly, the magnetic permeability disturbance association characteristics are compared with the metal type and distance nodes in the coordinates; finally, the corresponding physical coordinate point is located to generate a feature mapping position.

[0091] Step 202: Indexing the interference intensity value of the preset magnetic field disturbance intensity gradient at the feature map position, converting the interference intensity value using a preset sensor environment factor, and generating a gradient impact value.

[0092] In this step, the indexing operation refers to the query action of extracting the pre-stored interference value from the gradient database according to the feature mapping position; the interference intensity value refers to the basic interference quantization value of a specific metal predefined in the gradient at a specific distance; the preset sensor environment factor refers to the environmental adaptation variable containing the dual-sensor orthogonal layout compensation coefficient and the distance attenuation correction parameter; the conversion operation refers to the physical calculation process of adjusting the amplitude and correcting the phase of the basic interference value according to the environmental factor; the gradient impact value refers to the actual interference effect after the sensor environment adaptation conversion.

[0093] In an embodiment of the present invention, first, the pre-stored interference intensity value of the magnetic field disturbance intensity gradient is indexed at the feature mapping position; secondly, the preset sensor environment factor including the orthogonal layout compensation coefficient and the distance attenuation parameter is called; then, through a conversion operation, the interference intensity value is multiplied by the compensation coefficient and the attenuation parameter is superimposed; finally, a gradient influence value adapted to the current sensor environment is generated.

[0094] Step 203: superimpose the gradient influence value and the reference interference value of the magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value.

[0095] In this step, the reference interference value refers to the ambient background magnetic field base strength value preset in the gradient; the superposition operation refers to the calculation step of arithmetically adding the gradient influence value and the reference interference value to generate a comprehensive prediction value.

[0096] In an embodiment of the present invention, a reference interference value including an ambient magnetic field base value is first extracted from the magnetic field disturbance intensity gradient; secondly, the gradient influence value is superimposed on the reference interference value; and finally, a predicted value reflecting the actual disturbance intensity of the metal object is generated.

[0097] The embodiment of the present invention accurately maps the characteristic position of the piston ring through the metal-distance coordinates of the automobile engine and indexes the basic interference value, combines the vehicle's high-temperature vibration environment factor conversion to adapt the crankshaft sensor layout, and superimposes the automobile exhaust manifold reference magnetic field interference value to generate a comprehensive prediction value, thereby realizing environmentally adaptive quantification of the vehicle piston motion interference intensity.

[0098] To separately quantify the combined effects of eddy current distortion and hysteresis attenuation on the sensor surface, this step decomposes the disturbance intensity into axial and radial components, generates displacement parameters based on the eddy current coupling rule or the hysteresis coupling rule, and superimposes the reference displacement to output the magnetic field distortion. The present invention provides a specific embodiment, step 103, which utilizes a preset magnetic domain wall displacement sensing model to quantify the predicted value of the metal object's disturbance intensity to obtain the magnetic field distortion of the preset dual sensor surface, specifically comprising the following steps:

[0099] Step 301: Decompose the predicted value of the metal object disturbance intensity based on a preset magnetic domain wall displacement sensing model to obtain an axial prediction component and a radial prediction component.

[0100] In this step, the decomposition operation refers to the physical separation process of decomposing the disturbance intensity prediction value into tangential and normal vectors according to the spatial geometric direction; the axial prediction component refers to the disturbance vector component parallel to the sensor surface, reflecting the effect of the rotating magnetic field generated by the eddy current; the radial prediction component refers to the disturbance vector component perpendicular to the sensor surface, reflecting the attenuation of the magnetic field intensity caused by hysteresis.

[0101] In an embodiment of the present invention, the spatial vector characteristics of the predicted value of the disturbance intensity of a metal object are first identified through a preset magnetic domain wall displacement sensing model; secondly, the axial prediction component is separated along the tangential direction of the sensor surface; then, the radial prediction component is separated along the normal direction; and finally, independent physical quantities reflecting the eddy current effect and the hysteresis effect are generated.

[0102] Step 302: Match the axial prediction component with a preset eddy current coupling rule to generate eddy current displacement parameters.

[0103] In this step, the preset eddy current coupling rule refers to the physical conversion rule library that pre-stores the correspondence between eddy current intensity and magnetic domain displacement of various types of metals; the matching operation refers to the indexing process of binding the axial component with the eddy current coefficient corresponding to the metal type in the rule library; the eddy current displacement parameter refers to the physical parameter that quantifies the distance of movement of the magnetic domain boundary caused by the eddy current effect.

[0104] In an embodiment of the present invention, a preset eddy current coupling rule library is first called; secondly, the axial predicted component is mapped to the metal eddy current coefficient matched in the rule; then, the conversion formula between eddy current intensity and displacement is applied; finally, eddy current displacement parameters are generated to quantify the magnetic domain displacement caused by eddy current.

[0105] Step 303: Match the radial prediction component with a preset hysteresis coupling rule to generate a hysteresis displacement parameter.

[0106] In this step, the preset hysteresis coupling rule refers to a physical conversion rule library that stores the correspondence between the residual magnetic strength of the magnetic material and the magnetic domain displacement; the hysteresis displacement parameter refers to a physical parameter that quantifies the distance of movement of the magnetic domain boundary caused by the hysteresis effect.

[0107] In an embodiment of the present invention, a preset hysteresis coupling rule library is first called; secondly, the radial prediction component is mapped to the material remanence coefficient matched in the rule; then, the conversion formula between hysteresis intensity and displacement is applied; finally, a hysteresis displacement parameter is generated to quantify the magnetic domain displacement caused by hysteresis.

[0108] Step 304: superimposing the eddy current displacement parameter, the hysteresis displacement parameter, and the reference displacement of the preset magnetic domain wall displacement sensing model to generate the magnetic field distortion of the surface of the preset dual sensor.

[0109] In this step, the reference displacement refers to the calibration value of the inherent position offset of the magnetic domain in the sensor's undisturbed state; the superposition operation refers to the calculation process of fusing the eddy current displacement parameters, the hysteresis displacement parameters and the reference displacement according to the vector synthesis rule.

[0110] In an embodiment of the present invention, a reference displacement including the sensor's inherent offset is first extracted from a magnetic domain wall displacement sensing model; secondly, eddy current displacement parameters and hysteresis displacement parameters are superimposed along a spatial vector direction; then, the reference displacement is integrated for zero-point calibration; and finally, a magnetic field distortion representing the comprehensive deformation of the sensor surface is generated.

[0111] The embodiment of the present invention decomposes the disturbance intensity of the automobile connecting rod swing force into tangential and radial components and independently matches the eddy current hysteresis rules to generate displacement parameters. The inherent offset of the vehicle crankshaft sensor baseline displacement is superimposed to achieve accurate quantification of the automobile piston pin eddy current distortion and the connecting rod bearing hysteresis attenuation.

[0112] To address the hardware coordination problem of high-frequency eddy current suppression and hysteresis amplitude compensation, this step analyzes the distorted waveform to separate the frequency or amplitude parameters of the distorted waveform, matches the impedance response curve to generate dual compensation values, and outputs optimized parameters for the tuned circuit impedance component. The present invention provides a specific embodiment, step 104, which uses a preset impedance matching feedback network to tune the circuit parameters corresponding to the magnetic field distortion to generate optimized impedance parameters, specifically including the following steps:

[0113] Step 401: Analyze the waveform characteristics of the magnetic field distortion using a preset impedance matching feedback network to generate distortion frequency parameters and distortion amplitude parameters.

[0114] In this step, waveform characteristics refer to the physical morphological characteristics of the magnetic field distortion, including the law of change of oscillation frequency and signal intensity; analytical operation refers to the separation process of decomposing waveform characteristics into independent physical parameters according to frequency domain and amplitude domain; distortion frequency parameter refers to the physical quantity that quantifies the high-frequency oscillation component caused by eddy current in the magnetic field signal; distortion amplitude parameter refers to the physical quantity that quantifies the intensity attenuation degree caused by hysteresis in the magnetic field signal.

[0115] In an embodiment of the present invention, the waveform characteristics of the magnetic field distortion are first identified through a preset impedance matching feedback network; secondly, the frequency dimension information in the waveform is separated to generate the distortion frequency parameter; then, the amplitude dimension information in the waveform is extracted to generate the distortion amplitude parameter; finally, dual physical indicators are formed to quantify the eddy current high-frequency interference and hysteresis attenuation.

[0116] Step 402: Match the distortion frequency parameter with a preset impedance frequency response curve to generate a frequency compensation value.

[0117] In this step, the preset impedance frequency response curve refers to a pre-stored physical rule library that defines the relationship between the circuit's capacitance and frequency; the matching operation refers to the indexing process of mapping the distortion frequency parameters to the corresponding nodes of the response curve; and the frequency compensation value refers to the capacitance adjustment instruction value generated according to the response curve.

[0118] In an embodiment of the present invention, a preset impedance frequency response curve library is first called; secondly, the distortion frequency parameter is mapped to the matching capacitive reactance adjustment node in the curve; then, a frequency compensation value is generated based on the frequency-capacitive reactance conversion rule; and finally, a circuit control quantity for neutralizing high-frequency eddy current interference is output.

[0119] Step 403: Match the distortion amplitude parameter with a preset impedance amplitude response curve to generate an amplitude compensation value.

[0120] In this step, the preset impedance amplitude response curve refers to a pre-stored physical rule library that defines the relationship between the circuit inductance and amplitude; the amplitude compensation value refers to the inductance adjustment instruction value generated according to the response curve.

[0121] In an embodiment of the present invention, a preset impedance amplitude response curve library is first called; secondly, the distortion amplitude parameter is mapped to the matching inductive reactance adjustment node in the curve; then, an amplitude compensation value is generated based on the amplitude-inductive reactance conversion rule; and finally, a circuit control quantity that compensates for the hysteresis signal loss is output.

[0122] Step 404: Apply the frequency compensation value and the amplitude compensation value to tune the impedance component of the circuit parameter corresponding to the magnetic field distortion amount to generate an optimized impedance parameter.

[0123] In this step, the impedance component refers to the aggregate of capacitive reactance, inductive reactance, and resistive elements in the circuit parameters; the tuning operation refers to the process of modifying the physical parameters of the corresponding circuit components by applying the compensation value.

[0124] In an embodiment of the present invention, first, the capacitive reactance component of the circuit parameters is located and a frequency compensation value is applied to generate an optimized capacitive reactance; secondly, the inductive reactance component is located and an amplitude compensation value is applied to generate an optimized inductive reactance; then the resistive component is maintained unchanged; finally, the capacitive reactance, inductive reactance and resistive components are reconstructed to generate an optimized impedance parameter.

[0125] The embodiment of the present invention analyzes the magnetic field distortion waveform of the automobile transmission housing to separate the gear meshing frequency and amplitude parameters, matches the impedance response curve to generate dual compensation values, directionally tunes the capacitive and inductive reactance components of the vehicle wheel speed sensor circuit and reconstructs the impedance parameters, thereby achieving hardware-level coordinated optimization of high-frequency suppression of eddy currents caused by metal debris in the automobile clutch and hysteresis compensation for bearing wear.

[0126] To achieve independent and precise control of the capacitive and inductive reactance components, this step decomposes the impedance into capacitive, inductive, and resistive components, adjusts the capacitance and inductance parameters according to the compensation values, and reconstructs the optimized components to generate an anti-interference circuit configuration. The present invention provides a specific embodiment, step 404, applying the frequency compensation value and the amplitude compensation value to tune the impedance component of the circuit parameters corresponding to the magnetic field distortion amount to generate optimized impedance parameters, specifically including the following steps:

[0127] Step 441: Decompose the impedance component of the circuit parameter corresponding to the magnetic field distortion to generate a capacitive reactance component, an inductive reactance component, and a resistive component.

[0128] In this step, the decomposition operation refers to the process of separating the impedance components into capacitive reactance, inductive reactance and resistive elements according to their physical functions; the capacitive reactance component refers to the set of capacitance-related parameters in the circuit that has a blocking characteristic for high-frequency signals; the inductive reactance component refers to the set of inductance-related parameters in the circuit that is sensitive to changes in signal strength; the resistive component refers to the set of resistance parameters that maintain the basic working state of the circuit.

[0129] In an embodiment of the present invention, the physical composition of the impedance component is first identified through a circuit parameter analysis module; secondly, the capacitive reactance component for counteracting high-frequency interference, the inductive reactance component for compensating for signal loss, and the resistive component for maintaining circuit stability are separated; finally, three sets of basic circuit elements are generated.

[0130] Step 442: Adjust the capacitance parameter of the capacitive reactance component according to the frequency compensation value to generate an optimized capacitive reactance parameter.

[0131] In this step, the capacitance parameter refers to the physical variable in the capacitive reactance component that specifically defines the capacitance value of the capacitor device; the adjustment operation refers to the physical reconfiguration process of modifying the capacitance parameter value according to the compensation instruction; and the optimized capacitive reactance parameter refers to the new capacitive reactance configuration with high-frequency anti-interference capability after the capacitance value adjustment is completed.

[0132] In an embodiment of the present invention, first, the capacitance parameter in the capacitive reactance component is located; second, the capacitance value is increased or decreased according to the capacitive reactance adjustment instruction included in the frequency compensation value; and finally, the optimized capacitive reactance parameter for neutralizing the eddy current high-frequency interference is generated.

[0133] Step 443: Adjust the inductance parameter of the inductive reactance component according to the amplitude compensation value to generate an optimized inductive reactance parameter.

[0134] In this step, the inductance parameter refers to the physical variable in the inductive reactance component that specifically defines the inductance value of the inductor device; and the optimized inductive reactance parameter refers to a new inductive reactance configuration with amplitude compensation capability after the inductance value adjustment is completed.

[0135] In an embodiment of the present invention, first, the inductance parameter in the inductive reactance component is located; second, the inductance value is reduced or increased according to the inductive reactance adjustment instruction included in the amplitude compensation value; and finally, the optimized inductive reactance parameter for compensating for the hysteresis amplitude attenuation is generated.

[0136] Step 444: reconstructing the circuit parameters based on the optimized capacitive reactance parameters, the optimized inductive reactance parameters, and the resistive component to generate optimized impedance parameters.

[0137] In this step, the reconstruction process refers to the physical combination process of reintegrating the optimized capacitive and inductive reactance parameters with the resistive components according to the circuit topology.

[0138] In an embodiment of the present invention, first, the original capacitive reactance component is replaced by the optimized capacitive reactance parameter; second, the original inductive reactance component is replaced by the optimized inductive reactance parameter; then the resistive component is kept unchanged; finally, the three are integrated and reconstructed into a complete circuit parameter set to generate the optimized impedance parameter.

[0139] The embodiment of the present invention decomposes the impedance of the vehicle's electric power steering motor drive unit into capacitive, inductive, and resistive components and independently tunes the solenoid valve capacitance and inductance parameters to reconstruct an anti-interference circuit configuration, thereby achieving precise circuit-level control of high-frequency eddy current suppression of the vehicle's steering gear and hysteresis attenuation compensation of the torque sensor.

[0140] To eliminate crosstalk between orthogonal signals in a metallic near-field environment, this step configures an optimized impedance to generate an anti-interference signal channel, conditions the acquired signal, decomposes the biaxial components, and performs hardware-level interference cancellation to output pure magnetic field data. The present invention provides a specific embodiment, step 105, utilizing the preset dual sensors to acquire orthogonal magnetic field signals, calibrating the orthogonal magnetic field signals based on the optimized impedance parameters, and generating a calibration magnetic field signal for dynamic interference calibration, specifically comprising the following steps:

[0141] Step 501: configuring the optimized impedance parameters in the signal acquisition circuit of the preset dual sensor to generate an optimized signal channel.

[0142] In this step, the configuration operation refers to the physical writing process of writing the optimized impedance parameters into the sensor acquisition system through the circuit programming interface; the signal acquisition circuit refers to the set of hardware modules responsible for magnetic field signal conversion and transmission in the dual sensors; the optimized signal channel refers to the enhanced signal path with the ability to resist eddy current and hysteresis interference after the impedance configuration is completed.

[0143] In an embodiment of the present invention, the optimized impedance parameters are first loaded into the signal acquisition circuit of the preset dual sensor; secondly, the capacitive reactance and inductive reactance configuration data are written through the hardware interface; finally, an optimized signal channel with anti-interference capability is generated.

[0144] Step 502: using the optimized signal channel to collect orthogonal magnetic field signals, and applying a preset signal conditioning unit to convert the orthogonal magnetic field signals to generate initial orthogonal signals.

[0145] In this step, the acquisition operation refers to the hardware synchronous sampling process of obtaining spatial orthogonal magnetic field data by optimizing channel synchronization; the preset signal conditioning unit refers to the hardware signal standardization module that integrates amplitude gain control and phase delay compensation; the conversion processing refers to the standardization operation of scaling the original signal to the reference range and aligning the dual-channel phase; the initial orthogonal signal refers to the spatial vertical dual-channel signal set after completing the amplitude and phase standardization processing.

[0146] In an embodiment of the present invention, first, spatially orthogonal original magnetic field signals are synchronously collected by optimizing the signal channel; secondly, a preset signal conditioning unit is called to perform amplitude normalization processing on the dual-path signals; then, phase synchronization alignment is performed to eliminate timing deviation; and finally, a standardized initial orthogonal signal is generated.

[0147] Step 503: Decompose the initial orthogonal signal according to a preset orthogonal separation rule to generate a first axial signal and a second axial signal.

[0148] In this step, the preset orthogonal separation rule defines the physical decoupling rule base of the relationship between the spatial axial projection angle and the signal distribution ratio; the decomposition operation refers to the geometric separation process of projecting the composite signal onto two perpendicular axes according to the orthogonal rule; the first axial signal refers to the magnetic field signal component decomposed along the preset reference direction; the second axial signal refers to the magnetic field signal component decomposed along the direction perpendicular to the first axial direction.

[0149] In an embodiment of the present invention, a preset orthogonal separation rule library is first called; secondly, the initial orthogonal signal is projected onto the first spatial axis according to the axial angle defined by the rule; then, it is projected onto the perpendicular second spatial axis; finally, an axial signal is generated that independently characterizes two physical dimensions.

[0150] Step 504: Utilize the first axial signal and the second axial signal to perform a preset cross-interference cancellation operation to generate a calibration magnetic field signal.

[0151] In this step, the preset cross-interference cancellation operation refers to a hardware-level processing mechanism for eliminating electromagnetic crosstalk between two axes by reverse signal injection.

[0152] In the embodiment of the present invention, the second axial crosstalk component in the first axial signal is first identified; the first axial crosstalk component in the second axial signal is then extracted; reverse superposition is then performed to eliminate cross interference; and finally a pure calibration magnetic field signal is generated.

[0153] The embodiment of the present invention optimizes the signal channel of the automobile wheel speed sensor to collect standardized orthogonal signals, decomposes the axial and circumferential components according to preset rules, and performs hardware-level interference cancellation to eliminate signal crosstalk and distortion caused by metal debris in the vehicle brake disc, and output high-fidelity automobile wheel speed magnetic field data.

[0154] Figure 2 The present invention provides a structural diagram of a magnetic field interference dynamic calibration system under a dual-sensor orthogonal layout, as shown in FIG. Figure 2 As shown, the system includes:

[0155] A matching module 21 is used to match a preset material magnetic permeability dynamic response spectrum with the magnetic permeability characteristics of a metal object close to the preset dual sensors to obtain a magnetic permeability disturbance correlation feature;

[0156] an association module 22 for associating the magnetic permeability disturbance association feature with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value;

[0157] a quantification module 23 for quantifying the predicted value of the metal object disturbance intensity using a preset magnetic domain wall displacement sensing model to obtain a magnetic field distortion amount of the surface of the preset dual sensor;

[0158] A tuning module 24 is configured to tune the circuit parameters corresponding to the magnetic field distortion using a preset impedance matching feedback network to generate optimized impedance parameters;

[0159] The calibration module 25 is configured to collect orthogonal magnetic field signals using the preset dual sensors, calibrate the orthogonal magnetic field signals based on the optimized impedance parameters, and generate calibration magnetic field signals for dynamic interference calibration.

[0160] Figure 2 The magnetic field interference dynamic calibration system under the dual-sensor orthogonal layout can be performed Figure 1 The implementation principles and technical effects of the method for dynamic calibration of magnetic field interference using a dual-sensor orthogonal layout described in the illustrated embodiment are not further elaborated. The specific manner in which the various modules and units perform operations in the aforementioned method for dynamic calibration of magnetic field interference using a dual-sensor orthogonal layout has been described in detail in the related embodiments and will not be further elaborated here.

[0161] In one possible design, Figure 2The magnetic field interference dynamic calibration system under a dual-sensor orthogonal layout of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0162] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0163] The processing component 32 is used to: match the preset material magnetic permeability dynamic response map with the magnetic permeability characteristics of the metal object close to the preset dual sensor to obtain the magnetic permeability disturbance correlation characteristics; associate the magnetic permeability disturbance correlation characteristics with the preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value; quantify the metal object disturbance intensity prediction value using a preset magnetic domain wall displacement sensing model to obtain the magnetic field distortion of the surface of the preset dual sensor; apply a preset impedance matching feedback network to tune the circuit parameters corresponding to the magnetic field distortion to generate optimized impedance parameters; use the preset dual sensor to collect orthogonal magnetic field signals, correct the orthogonal magnetic field signals based on the optimized impedance parameters, and generate a calibration magnetic field signal for dynamic interference calibration.

[0164] The processing component 32 may include one or more processors to execute computer instructions to perform all or part of the steps in the above method. Of course, the processing component may also be implemented as one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above method.

[0165] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0166] Of course, a computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0167] The input / output interface provides an interface between the processing component and the peripheral interface module, which can be an output device, an input device, etc.

[0168] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0169] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0170] The embodiment of the present invention further provides a computer storage medium storing a computer program, which can achieve the above-mentioned Figure 1 The embodiment shown is a method for dynamic calibration of magnetic field interference in an orthogonal layout of two sensors.

[0171] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0172] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0173] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0174] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A dynamic calibration method for magnetic field interference under a dual-sensor orthogonal layout, characterized in that: include: Matching the preset material magnetic permeability dynamic response spectrum with the magnetic permeability characteristics of a metal object close to the preset dual sensors to obtain the magnetic permeability disturbance correlation characteristics; Associating the magnetic permeability disturbance correlation feature with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value; quantifying the predicted value of the metal object disturbance intensity using a preset magnetic domain wall displacement sensing model to obtain a magnetic field distortion amount of the surface of the preset dual sensor; Applying a preset impedance matching feedback network to tune circuit parameters corresponding to the magnetic field distortion amount to generate optimized impedance parameters; The preset dual sensors are used to collect orthogonal magnetic field signals, and the orthogonal magnetic field signals are corrected based on the optimized impedance parameters to generate calibration magnetic field signals for dynamic interference calibration.

2. The method according to claim 1, characterized in that The preset material magnetic permeability dynamic response spectrum is matched with the magnetic permeability characteristics of the metal object close to the preset dual sensors to obtain the magnetic permeability disturbance correlation characteristics, including: Extracting basic magnetic permeability characteristics of a metal object close to a preset dual sensor from a preset material magnetic permeability dynamic response spectrum; Correlating the basic magnetic permeability characteristics with a distance parameter between the preset dual sensor and the metal object to generate a spatial coupling pattern; The spatial coupling mode is superimposed with the interference weight in the preset material magnetic permeability dynamic response map to generate a magnetic permeability disturbance correlation feature.

3. The method according to claim 1, characterized in that Correlating the magnetic permeability disturbance correlation feature with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value, including: Comparing the magnetic permeability disturbance associated feature with a preset metal-distance coordinate according to a preset magnetic field disturbance intensity gradient to generate a feature mapping position; Indexing the interference intensity value of the preset magnetic field disturbance intensity gradient at the feature map position, converting the interference intensity value using a preset sensor environment factor to generate a gradient impact value; The gradient influence value is superimposed on the reference interference value of the magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value.

4. The method according to claim 1, wherein Quantifying the predicted value of the metal object disturbance intensity using a preset magnetic domain wall displacement sensing model to obtain the magnetic field distortion of the surface of the preset dual sensor includes: Decomposing the predicted value of the disturbance intensity of the metal object based on a preset magnetic domain wall displacement sensing model to obtain an axial prediction component and a radial prediction component; Matching the axial prediction component with a preset eddy current coupling rule to generate eddy current displacement parameters; Matching the radial prediction component with a preset hysteresis coupling rule to generate a hysteresis displacement parameter; The eddy current displacement parameter, the hysteresis displacement parameter and the reference displacement of the preset magnetic domain wall displacement sensing model are superimposed to generate the magnetic field distortion of the surface of the preset dual sensor.

5. The method according to claim 1, wherein Applying a preset impedance matching feedback network to tune circuit parameters corresponding to the magnetic field distortion to generate optimized impedance parameters includes: Analyzing the waveform characteristics of the magnetic field distortion using a preset impedance matching feedback network to generate distortion frequency parameters and distortion amplitude parameters; Matching the distortion frequency parameter with a preset impedance frequency response curve to generate a frequency compensation value; Matching the distortion amplitude parameter with a preset impedance amplitude response curve to generate an amplitude compensation value; The frequency compensation value and the amplitude compensation value are applied to tune the impedance component of the circuit parameter corresponding to the magnetic field distortion amount to generate an optimized impedance parameter.

6. The method according to claim 5, characterized in that Applying the frequency compensation value and the amplitude compensation value to tune the impedance component of the circuit parameter corresponding to the magnetic field distortion amount to generate an optimized impedance parameter includes: Decomposing the impedance component of the circuit parameter corresponding to the magnetic field distortion to generate a capacitive reactance component, an inductive reactance component, and a resistive component; Adjusting the capacitance parameter of the capacitive reactance component according to the frequency compensation value to generate an optimized capacitive reactance parameter; Adjusting the inductance parameter of the inductive reactance component according to the amplitude compensation value to generate an optimized inductive reactance parameter; The circuit parameters are reconstructed based on the optimized capacitive reactance parameter, the optimized inductive reactance parameter, and the resistive component to generate optimized impedance parameters.

7. The method according to claim 1, characterized in that The method comprises: collecting orthogonal magnetic field signals by using the preset dual sensors, correcting the orthogonal magnetic field signals based on the optimized impedance parameters, and generating calibration magnetic field signals for dynamic interference calibration, including: Configuring the optimized impedance parameters in the signal acquisition circuit of the preset dual sensor to generate an optimized signal channel; Using the optimized signal channel to collect orthogonal magnetic field signals, applying a preset signal conditioning unit to convert the orthogonal magnetic field signals to generate initial orthogonal signals; Decomposing the initial orthogonal signal according to a preset orthogonal separation rule to generate a first axial signal and a second axial signal; A preset cross-interference cancellation operation is performed using the first axial signal and the second axial signal to generate a calibration magnetic field signal.

8. A magnetic field interference dynamic calibration system with a dual-sensor orthogonal layout, characterized in that: include: A matching module is used to match a preset material magnetic permeability dynamic response spectrum with the magnetic permeability characteristics of a metal object close to the preset dual sensors to obtain a magnetic permeability disturbance correlation feature; an association module, configured to associate the magnetic permeability disturbance association feature with a preset magnetic field disturbance intensity gradient to generate a metal object disturbance intensity prediction value; a quantification module, configured to quantify the predicted value of the metal object disturbance intensity using a preset magnetic domain wall displacement sensing model to obtain a magnetic field distortion amount of the surface of the preset dual sensor; A tuning module, configured to tune the circuit parameters corresponding to the magnetic field distortion using a preset impedance matching feedback network to generate optimized impedance parameters; The calibration module is used to collect orthogonal magnetic field signals using the preset dual sensors, calibrate the orthogonal magnetic field signals based on the optimized impedance parameters, and generate calibration magnetic field signals for dynamic interference calibration.

9. A computing device, characterized in that The method comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a dynamic calibration method for magnetic field interference under a dual-sensor orthogonal layout as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that A computer program is stored, and when the computer program is executed by a computer, the method for dynamic calibration of magnetic field interference in a dual-sensor orthogonal layout according to any one of claims 1 to 7 is implemented.

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