A quantifiable magnetizing device, system and regulating control method

Abstract

The application discloses a quantitative magnetizing device, system and adjusting control method, and relates to the technical field of quantitative magnetizing, wherein the quantitative magnetizing is performed by using constant current, and there is no process of slowly increasing current, which may cause significant changes in the magnetism of the material, and the influence of the critical magnetic field is not considered, which may cause incorrect understanding of the magnetizing process or the characteristics of the magnetic material, especially in the case that the magnetic state of the material may change with the applied magnetic field. Ignoring the influence of the critical magnetic field may cause inaccurate understanding of the magnetizing process of the magnetic material, affecting the performance and application effect thereof. The present application optimizes the magnetizing process by precisely controlling the current growth model, avoiding excessive heating or nonlinear response. Selecting the slope of the initial magnetization section as a reference helps to improve the stability and efficiency of the material when approaching the Curie temperature. At the same time, the magnetizing by using constant current can ensure the stability of the magnetic field strength, reduce the hysteresis loss, and thus improve the accuracy and repeatability of the experiment.

Description

Technical Field

[0001] This invention relates to the field of quantitative magnetization technology, and more specifically, to a method for regulating and controlling quantitative magnetization. Background Technology

[0002] Quantitative magnetization technology, as one of the core technologies for magnetic material processing, is of great significance for improving product performance and production efficiency. With the advancement of materials science and the development of automation and intelligent technologies, quantitative magnetization technology will become more precise and efficient, further promoting the development of various magnetic applications. Quantitative magnetization is a technology that enables magnetic materials or equipment to achieve predetermined magnetic characteristics by precisely controlling the magnetization process. It is widely used in many fields such as motor manufacturing, permanent magnet material production, sensor manufacturing, and medical equipment. Achieving quantitative magnetization usually relies on advanced automated control technologies, such as PID control, digital control, and closed-loop feedback, to ensure the accuracy and stability of the magnetization process.

[0003] The existing technology has the following shortcomings:

[0004] Quantitative magnetization uses constant current without a gradual increase in current, which can lead to significant changes in the material's magnetic properties. It also fails to consider the influence of the critical magnetic field, potentially causing misunderstandings about the magnetization process or the properties of magnetic materials, especially when the material's magnetic state may change with the applied magnetic field. Ignoring the influence of the critical magnetic field can result in inaccurate understanding of the magnetization process, affecting its performance and application.

[0005] To address the above problems, this invention proposes a solution. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a quantitative magnetization adjustment and control method and system to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A quantitative magnetization regulation and control method includes the following steps:

[0009] Step S1: Record the temperature of the material and the environment at various times, use a magnetometer to measure the magnetization of the material and the strength of the external magnetic field, and use a digital ammeter to monitor the current in real time.

[0010] Step S2: Calculate the critical magnetic field of the material by comparing the magnetization intensity of the material with the external magnetic field intensity, determine whether the current magnetization intensity of the material is close to saturation, and analyze whether the current thermal power input and output of the material are balanced through thermal balance analysis.

[0011] Step S3: Determine the target current under this condition based on the material's critical magnetic field and Curie temperature.

[0012] Step S4: Select a current growth model based on the target current and the slope of the initial magnetization segment in the magnetization curve to achieve initial current growth, and then use constant current for magnetization after reaching the target current.

[0013] In a preferred embodiment, step S1 includes the following:

[0014] Temperature sensors are used to record the current temperature of the material and the current environment in real time. A superconducting quantum interference device is used to measure the magnetization of the material and the strength of the externally applied magnetic field. The measurement and data acquisition system are connected simultaneously to record magnetic field data and temperature data in real time.

[0015] The current is monitored in real time using a digital ammeter, and the data is read directly from the computer via a USB interface.

[0016] In a preferred embodiment, step S2 includes the following:

[0017] The relationship between the magnetization of a material and the strength of an external magnetic field is expressed as: M = xH; when saturation is reached, the magnetization M... sat When the applied magnetic field H reaches its maximum value, the external magnetic field H... c The corresponding magnetization is given by the following formula:

[0018] The magnetization curve is obtained by comparing the magnetization intensity with the external magnetic field intensity. It is then determined whether the critical magnetic field has been reached: the external magnetic field is gradually increased and the magnetization intensity of the material is measured. When the magnetization intensity reaches the saturation state, further increasing the external magnetic field will not cause a significant change in the magnetization intensity. The external magnetic field at this time is the critical magnetic field. If the critical magnetic field is reached, the current measured under this condition is the target current I1 determined based on the critical magnetic field.

[0019] Design a temperature control model;

[0020] Thermal equilibrium analysis: Under steady state, the thermal power input and output of a material should be in balance, i.e.: P out =P in ;

[0021] The thermal power input is calculated from the material's resistance and the current: P in =I 2 R;

[0022] The following heat conduction model is used to calculate the heat power output: P out =hA(TT) env ), where: h is the heat transfer coefficient by convection, A is the surface area of ​​the material, and Tenv T is the ambient temperature, and T is the current temperature of the material.

[0023] Temperature change rate: The rate of temperature change over time is approximated using differential calculation. Real-time temperature data is used to calculate the temperature change over time. Between two consecutive time points t1 and t2, with temperatures T(t1) and T(t2) respectively, the approximate value of the temperature change rate is estimated using the following differential calculation formula:

[0024] The relationship between thermal power and the rate of temperature change: The rate of temperature change is expressed by the mass of the object, its specific heat capacity, and the change in temperature. Where: m is the mass of the object, and c is the specific heat capacity of the object. The rate of temperature change;

[0025] When P in -P out When P > 0, in >P out The temperature of the object will rise.

[0026] When P in -P out When <0, P in <P out The temperature of the object will decrease.

[0027] When P in -P out When P = 0, in =P out Then the system reaches thermal equilibrium.

[0028] In a preferred embodiment, step S3 includes the following:

[0029] When the difference between the thermal power input and output is zero P in -P out When = 0, that is, P in =P out When the Curie temperature of the material is reached, the current in this case is the target current I2 determined based on the temperature.

[0030] Compare the magnitudes of the target current I1 determined based on the critical magnetic field and the target current I2 determined based on the temperature, and take the smaller value as the target current for subsequent operations.

[0031] In a preferred embodiment, step S4 includes the following:

[0032] Obtaining magnetization curve data: The magnetization curve consists of the relationship between two quantities: magnetic field strength H and magnetic induction intensity B, i.e.: B = f(H);

[0033] Given an initial current of I0, the calculations are performed per unit time: that is, the calculations of magnetic induction intensity B(t) and magnetic field intensity H(t) per unit time t. The slope of the initial magnetization segment can then be expressed as:

[0034] After receiving the target current and initial magnetization slope of the quantitative magnetization device, the target current and initial magnetization slope of the quantitative magnetization device are defined as input variables and divided into different fuzzy sets respectively.

[0035] The growth model is defined as the output variable, and it is divided into fuzzy sets.

[0036] Fuzzy rules were formulated to describe the impact of the target current of the quantitative magnetization device and the initial magnetization slope definition on the growth model;

[0037] Fuzzy inference based on fuzzy rules determines the selection of the growth model for the quantitative magnetization device.

[0038] Based on the above, when the charging time is short and the slope of the magnetization curve is steep during magnetization, a linear current growth model is used to control the current for magnetization: the initial current is I0, and the target current is I. f The total time for the magnetization process is T. The change of current over time can be expressed by the following formula: The target current I is finally reached at t=T. f ;

[0039] When the charging time is long and the slope of the magnetization curve is small during remagnetization, an exponential current growth model is used to control the current for magnetization. The formula for exponential growth can be written as: I(t) = I0 + (I f -I0)·(1-e -λt Where: I(t) is the current at time t, I0 is the initial current, and I... f λ is the target current, λ is the adjustment rate, and t is the current time.

[0040] A quantitative magnetization regulation and control system includes: an information acquisition module, a data processing module, a statistical analysis module, and a model building module.

[0041] Information acquisition module: records the temperature of the material and the environment at various times, uses a magnetometer to measure the magnetization of the material and the strength of the external magnetic field, and uses a digital ammeter to monitor the current in real time;

[0042] Data processing module: Calculates the critical magnetic field of the material by comparing the magnetization of the material with the strength of the external magnetic field, determines whether the current magnetization of the material is close to saturation, and analyzes whether the current thermal power input and output of the material are balanced through thermal balance analysis;

[0043] Statistical analysis module: Determines the target current under this condition based on the material's critical magnetic field and Curie temperature;

[0044] Model building module: Select a current growth model based on the target current and the slope of the initial magnetization segment in the magnetization curve, so that the current can grow in the early stage and then use constant current to magnetize after reaching the target current.

[0045] A quantitative magnetization device includes a power source and an electromagnetic coil. The power source provides a stable current source and controls the current magnitude and waveform. The electromagnetic coil generates a magnetic field.

[0046] The technical effects and advantages of this invention's quantitative magnetization regulation and control method and system are as follows: By precisely controlling the current growth model, the magnetization process is optimized, avoiding overheating or nonlinear response. Selecting the slope of the initial magnetization segment as a reference helps improve the stability and efficiency of the material near the Curie temperature. Simultaneously, using constant current for magnetization ensures stable magnetic field strength, reduces hysteresis losses, and thus improves the accuracy and repeatability of the experiment. Attached Figure Description

[0047] Figure 1 This invention provides a quantitative magnetization adjustment and control method.

[0048] Figure 2 This invention relates to a quantitative magnetization adjustment and control system. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0050] This invention is achieved through the collection.

[0051] Example 1

[0052] The present invention is as follows Figure 1 As shown, a quantitative magnetization regulation and control method is provided, including the following steps:

[0053] Step S1: Record the temperature of the material and the environment at various times, use a magnetometer to measure the magnetization of the material and the strength of the external magnetic field, and use a digital ammeter to monitor the current in real time.

[0054] Step S2: Calculate the critical magnetic field of the material by comparing the magnetization intensity of the material with the external magnetic field intensity, determine whether the current magnetization intensity of the material is close to saturation, and analyze whether the current thermal power input and output of the material are balanced through thermal balance analysis.

[0055] Step S3: Determine the target current under this condition based on the material's critical magnetic field and Curie temperature.

[0056] Step S4: Select a current growth model based on the target current and the slope of the initial magnetization segment in the magnetization curve to achieve initial current growth, and then use constant current for magnetization after reaching the target current.

[0057] The specific implementation is as follows:

[0058] In step S1, the temperature is recorded at various times, and the magnetization of the material and the strength of the external magnetic field are measured using a magnetometer. Specific details include:

[0059] Temperature recording: The temperature of the material and the current environment is recorded in real time by temperature sensors. The temperature of the material is an important factor in the performance of magnetic materials. In particular, when the material approaches or exceeds its Curie temperature, the magnetic properties of the material will change significantly. Therefore, real-time temperature monitoring is very important.

[0060] Measurement of magnetization and external magnetic field strength: The magnetization of materials and the strength of externally applied magnetic fields are measured using a superconducting quantum interference device (SQU ID). It can detect extremely weak magnetic field changes and is a non-contact magnetic field measurement tool. Therefore, it can be used to measure the magnetism of samples without direct contact with the samples, avoiding magnetic field interference caused by contact.

[0061] SQU ID can be used with temperature sensors to record temperature changes T in real time and connect to a data acquisition system for synchronous measurement, recording magnetic field data and temperature data in real time.

[0062] Real-time current monitoring: A digital ammeter is used to monitor the current in real time. It connects directly to a computer via a USB interface, and data is read through software for convenient subsequent use and analysis. The digital ammeter is used to monitor the magnitude of the current passing through a material. The current is closely related to the magnetization process of the material. During magnetization, the magnitude of the current directly affects the external magnetic field and the degree of magnetization of the material.

[0063] In step S2, the critical magnetic field of the material is calculated by comparing the magnetization of the material with the strength of the external magnetic field, and it is determined whether the current magnetization of the material is close to saturation. A thermal balance analysis is then performed to determine whether the current thermal power input and output of the material are balanced. Specific details include:

[0064] The critical magnetic field is the point at which the magnetization curve begins to change significantly at a certain temperature. It is an important indicator of the saturation magnetization of a material. The external magnetic field strength at which the magnetization of a material reaches saturation is the critical magnetic field strength. For ferromagnetic materials or certain types of strongly magnetic materials, it is usually related to the magnetic saturation strength and the magnetic permeability of the material. In some materials, especially ferromagnetic materials, the critical magnetic field is temperature-dependent and decreases as the temperature increases.

[0065] Saturation magnetization: refers to the magnetization of a material when the applied magnetic field increases to a certain value. At this point, the magnetization of the magnetic material no longer increases with the increase of the applied magnetic field. That is, under the action of a strong external magnetic field, all magnetic moments will be aligned to the maximum extent, so that the magnetization of the material reaches a maximum value.

[0066] The relationship between the magnetization of a material and the strength of an external magnetic field can be expressed as: M = xH; where: M is the magnetization of the material, x is the magnetic susceptibility, and H is the strength of the applied magnetic field.

[0067] When saturation is reached, the magnetization M sat When the applied magnetic field H reaches its maximum value, the external magnetic field H... c The corresponding magnetization can be given by the following formula: Where: M sat is the saturation magnetization of the material, and x is the magnetic susceptibility of the material.

[0068] Calculation example: Suppose there is a ferromagnetic material with a saturation magnetization M sat =1.0×10 6 Given A / m and magnetic susceptibility x = 1000, the critical magnetic field can be calculated as follows:

[0069] Determining whether the critical magnetic field has been reached using the magnetization curve method:

[0070] Magnetization curves (i.e., hysteresis loops) typically show the relationship between the magnetization M of a material and the applied magnetic field H. As the applied magnetic field increases, the magnetization also increases. With further increases in the external magnetic field, the magnetization tends to saturate, reaching an upper limit. The magnetization curve usually shows that at a relatively large magnetic field value, the magnetization no longer increases significantly; this is the critical magnetic field or saturation magnetic field.

[0071] The external magnetic field is gradually increased while the magnetization of the material is measured. When the magnetization reaches saturation, further increasing the external magnetic field will not cause a significant change in the magnetization. This external magnetic field is the critical magnetic field. Once the magnetization of the material reaches saturation, further increasing the external magnetic field will not cause a significant increase in the magnetization. At this point, the critical magnetic field can be considered to have been reached. The current measured under this condition is the target current I1 determined based on the critical magnetic field.

[0072] To control the temperature and keep it consistently at the Curie temperature T of the material C Design a temperature control model that can maintain the temperature around the specified temperature as it changes over time.

[0073] Thermal equilibrium analysis: Under steady state, the thermal power input and output of a material should be in balance, i.e.: P out =P in ;wherein: P in It is the input thermal power, P out This refers to the output heat power. The input heat power is calculated from the material's resistance and the current: P in =I 2 R.

[0074] Assuming heat loss occurs through natural convection or other heat dissipation mechanisms, the output heat power can be estimated using the following heat conduction model: P out =hA(TT) env Where: h is the heat transfer coefficient by convection, A is the surface area of ​​the material, and T is the heat transfer coefficient by gravity. env T is the ambient temperature, and T is the current temperature of the material.

[0075] Rate of change of temperature: Represents the rate at which temperature changes with time, defined as the derivative of temperature with time, i.e.: However, in practical applications, the derivative cannot be directly calculated. Instead, the rate of temperature change over time is approximated using difference calculations. Typically, real-time temperature data is used to calculate this change. Assuming that the temperatures between two consecutive time points t1 and t2 are T(t1) and T(t2), the approximate rate of temperature change can be estimated using the following difference calculation formula: Here, T(t1) and T(t2) are the temperatures at time points t1 and t2, respectively, and Δt = t2 - t1 is the time interval between the two time points.

[0076] For example: t1 = 0, t2 = 1, T(t1) = 20, T(t2) = 22

[0077] From t1 = 0 to t2 = 1, the rate of temperature change is:

[0078] The Curie temperature is the temperature at which certain substances (especially ferromagnetic and antiferromagnetic materials) undergo a transition from ferromagnetism or antiferromagnetism to paramagnetism. When a substance is heated to the Curie temperature, its magnetism undergoes a fundamental change. The Curie temperature is determined by the crystal lattice structure and interatomic interactions of the substance, and it is closely related to the magnetic properties of the material. Above the Curie temperature, the material no longer has the ability to spontaneously magnetize and becomes a paramagnetic material, that is, it will produce weak magnetization under an applied magnetic field.

[0079] For example, the Curie temperature of iron (Fe) is approximately 770℃ (1040K), meaning that when iron is heated to this temperature, it loses its ferromagnetism and becomes paramagnetic. The Curie temperature of nickel (Ni) is approximately 358℃ (631K). The Curie temperature of cobalt (Co) is approximately 1121℃ (1394K).

[0080] Relationship between thermal power and rate of temperature change: According to the law of conservation of heat, the temperature change of an object is closely related to the change in its internal energy. The rate of temperature change can be expressed by the object's mass, specific heat capacity, and temperature change. Where: m is the mass of the object, and c is the specific heat capacity of the object. This represents the rate of temperature change.

[0081] When P in -P out When P > 0, in >P out The temperature of the object will rise.

[0082] When P in -P out When <0, P in <P out The temperature of the object will decrease.

[0083] When P in -P out When P = 0, in =P out Then the system reaches thermal equilibrium.

[0084] In step S3, the target current under this condition is determined based on the material's critical magnetic field and Curie temperature. Specifically, this includes:

[0085] To maintain the temperature at the Curie temperature of the material, the current intensity during magnetization must be precisely controlled. Temperature control can be achieved by adjusting the current in real time, using a real-time feedback control method to ensure that the temperature remains stable near the set value. in -P out When = 0, that is, P in =Pout When the Curie temperature of the material is reached, the current in this case is the target current I2 determined based on the temperature.

[0086] Compare the magnitudes of the target current I1 determined based on the critical magnetic field and the target current I2 determined based on the temperature, and take the smaller value as the target current for subsequent operations.

[0087] In step S4, a current growth model is selected based on the target current and the slope of the initial magnetization segment in the magnetization curve to achieve initial current growth. After reaching the target current, constant current is used for magnetization. Specific details include:

[0088] Linear growth is suitable for situations requiring a simple, gradual increase in current. It is easy to implement, stable, and produces uniform changes, making it relatively easy to control. When the target current is small, a linear model can be used to reach the target current more quickly. Exponential growth, on the other hand, is suitable for a current increase process that starts relatively smoothly and then accelerates. It can improve the efficiency of the magnetization process. When the target current is large, the magnetization may not increase linearly but rather gradually accelerates. The magnetization intensity typically increases gradually and rapidly over time until the battery reaches a certain saturation point.

[0089] Magnetization curve observation: In the initial stage of the magnetization process, the response speed of a magnetic material is closely related to the shape of its magnetization curve. To determine whether the response is slow, the slope of the initial magnetization segment can be observed: If the slope of the initial segment of the magnetization curve (i.e., the part where the material just begins to be magnetized) is slow during magnetization, it indicates that the magnetic material responds slowly in the initial stage. Conversely, if the slope is steep, it indicates that the material responds more readily to the applied magnetic field.

[0090] Obtaining magnetization curve data: The magnetization curve consists of the relationship between two quantities: magnetic field strength H and magnetic flux density B, i.e., B = f(H), where H is the applied magnetic field strength and B is the magnetic flux density of the material. Setting the initial current as I0, the formula can be expressed as: Calculations are performed per unit time: that is, calculations are performed on the magnetic induction intensity B(t) and magnetic field intensity H(t) per unit time t. (ΔB=B(t)-0=B(t), similarly ΔH=H(t)-0=H(t)).

[0091] Set the threshold for the slope of the initial magnetization segment to S. threshold The slope is less than the set threshold S thresholdIf the material reacts slowly in the initial stage of magnetization, the exponential growth model will be smoother and the current will gradually increase until the target current is reached. If the slope is greater than the set threshold, it means that the material reacts relatively quickly. Using the linear current growth model to control the current for magnetization indicates that the material responds quickly to the external magnetic field and is suitable for using the linear growth model to increase the current uniformly.

[0092] After receiving the target current and initial magnetization slope of the quantitative magnetization device, the target current and initial magnetization slope of the quantitative magnetization device are defined as input variables and divided into different fuzzy sets.

[0093] For example, "Low", "Medium", "High" represent the target current, and "Low", "Medium", "High" represent the slope of the initial magnetization segment.

[0094] Define the growth model as the output variable and partition it into fuzzy sets, such as "Linear" and "Exponential" for the growth model.

[0095] Develop a set of fuzzy rules to describe the impact of different input variables on the output variable. The rules can be defined based on expertise or obtained through data analysis and experimentation. For example:

[0096] Let T be the charging time, S be the slope of the initial magnetization segment, and G be the growth model. growth Then it can be defined

[0097] Rule 1:IF(T is Low)AND(S is High)THEN(G growth is Linear)

[0098] Rule 2:IF(Tis High)AND(S is Low)THEN(G growth is Exponential) ...

[0100] Fuzzy reasoning is performed based on fuzzy rules to determine the growth model scheme.

[0101] It should be noted that the division of fuzzy sets can be adjusted according to the actual situation. For example, although this embodiment uses three fuzzy sets as an example, the charging time and the slope of the initial magnetization segment can actually be divided into more than three sets according to the growth model to facilitate more precise adjustment.

[0102] Furthermore, the judgment of the overall time coefficient and the initial magnetization slope (high, medium, low) can be based on setting thresholds according to the actual situation. For example, when the target current exceeds 100 amperes, it can be labeled as "High," and the initial magnetization slope exceeding... It was labeled as "High" etc., which will not be elaborated here.

[0103] In summary, when the charging time is short and the slope of the magnetization curve is steep during the magnetization process, the initial magnetization reaction is faster and the current increases more evenly. Therefore, a linear current growth model is more suitable for controlling the current during magnetization.

[0104] Assume the initial current is I0 and the target current is I. f The total time for the magnetization process is T. We can express the change of current with time using the following formula: Among them: I t It is the current at time t (in amperes), I0 is the initial current at the start of magnetization (in amperes), It f I is the target current at the end of magnetization (in amperes), t is the current time (in seconds), and T is the total time of the magnetization process (in seconds). This formula shows that the current increases linearly with time, eventually reaching the target current I at t = T. f .

[0105] When the charging time is long and the slope of the magnetization curve is small during the remagnetization process, the initial magnetization response is slow, and the current gradually increases rapidly. In this case, it is more suitable to use an exponential current growth model to control the current for magnetization.

[0106] This model is suitable for applications where the initial current increase is slow, then gradually accelerates towards the target current. The formula for exponential growth can be written as: I(t) = I0 + (I f -I0)·(1-e -λt ); where: I(t) is the current at time t (unit: amperes), I0 is the initial current (unit: amperes), I f λ is the target current (unit: amperes), λ is the adjustment rate, which controls the rate at which the current increases, and t is the current time (unit: seconds). In this formula, λ controls the rate at which the current increases. A larger λ value will cause the current to increase rapidly, while a smaller λ value will cause the current to increase gradually, thus reaching the target current more smoothly.

[0107] Example 2

[0108] Figure 2 The present invention provides a quantitative magnetization adjustment and control system, comprising: an information acquisition module, a data processing module, a statistical analysis module, and a model building module.

[0109] Information acquisition module: Records the temperature of the material and the environment at various times, uses a magnetometer to measure the magnetization of the material and the strength of the external magnetic field, and uses a digital ammeter to monitor the current in real time.

[0110] Data processing module: Calculates the critical magnetic field of the material by comparing the magnetization intensity of the material with the external magnetic field intensity, and determines whether the current magnetization intensity of the material is close to saturation. It also analyzes whether the current thermal power input and output of the material are balanced through thermal balance analysis.

[0111] Statistical analysis module: Determines the target current under this condition based on the material's critical magnetic field and Curie temperature.

[0112] A quantitative magnetization device includes a power source and an electromagnetic coil. The power source provides a stable current source and controls the current magnitude and waveform. The electromagnetic coil generates a magnetic field.

[0113] Model building module: Select a current growth model based on the target current and the slope of the initial magnetization segment in the magnetization curve, so that the current can grow in the early stage and then use constant current to magnetize after reaching the target current.

[0114] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0115] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0116] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0117] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0118] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and inventive constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0119] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0120] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0121] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method of regulating control of quantitatively magnetized, characterized by, The method comprises the steps of: Step S1, recording the temperature of the material and the environment at each time, using a magnetometer to measure the magnetization intensity of the material and the external magnetic field intensity, and using a digital ammeter to monitor the current in real time; Step S2, calculating the critical magnetic field of the material through the magnetization intensity and the external magnetic field intensity, and determining whether the magnetization intensity of the material is close to saturation, and analyzing whether the heat power input and output of the material are balanced through thermal equilibrium; Step S3, determining the target current under the condition according to the critical magnetic field of the material and the Curie temperature of the material; Step S4, selecting a current growth model according to the target current and the slope of the initial magnetization segment in the magnetization curve, so that the current grows in the early stage, and then uses constant current for magnetizing after reaching the target current; The method comprises the steps of: The magnetization curve is composed of the relationship between the magnetic field intensity H and the magnetic induction intensity B, that is: B = f(H) ; The initial current is The initial magnetization segment slope can be expressed as: Slope(H)= ; After receiving the target current of the quantitative magnetizing device and the slope of the initial magnetization segment, the target current of the quantitative magnetizing device and the slope of the initial magnetization segment are defined as input variables, which are divided into different fuzzy sets respectively; The growth model is defined as an output variable, which is divided into a fuzzy set; Formulate fuzzy rules to describe the influence of the target current of the quantitative magnetizing device and the slope of the initial magnetization segment on the growth model; According to the fuzzy rules, the growth model selection of the quantitative magnetizing device is determined; In combination with the above, in the case of a short charging time and a steep slope in the magnetization curve during the magnetizing process, a linear current growth model is used to control the current for magnetizing: the initial current is , the target current is , and the total time of the magnetizing process is T. The change in current over time is expressed by the following formula: , and the target current is reached at t = T ; When the charging time is longer and the slope of the magnetization curve is smaller during the remagnetization process, an exponential current growth model is used to control the current for magnetization. The formula of exponential growth can be written as: wherein: I(t) is the current at time t, is the initial current, is the target current, λ is the adjustment rate, and t is the current time.

2. The quantitative magnetizing adjustment control method according to claim 1, wherein: A temperature sensor is used to record the temperature of the current material and the environment in real time, a superconducting quantum interference device is used to measure the magnetization intensity of the material and the external applied magnetic field intensity, a synchronous measurement and data acquisition system is connected, and magnetic field data and temperature data are recorded in real time; A digital ammeter is used to monitor the current in real time, and a USB interface is directly connected with a computer, and data is read through software.

3. The quantitative magnetizing adjustment control method according to claim 2, wherein: The relationship between the magnetization of the material and the external magnetic field strength is expressed as: ; at the point of saturation, the magnetization reaches a maximum value, at which point the applied magnetic field corresponding magnetization is given by the equation: = ; The magnetization curve is obtained by the magnetization and the external magnetic field intensity, and whether the critical magnetic field is reached is judged: the external magnetic field is gradually increased, and the magnetization of the material is measured. When the magnetization reaches the saturation state, the external magnetic field is further increased, and the magnetization does not change significantly. At this time, the external magnetic field is the critical magnetic field. At this time, the critical magnetic field is reached, and the current measured in this case is the target current determined according to the critical magnetic field ; A temperature control model is designed; Heat balance analysis: At steady state, the thermal power input and output of a material should balance, i.e. ; The thermal power input is calculated from the resistance of the material itself and the current at the moment: ; The heat power output is calculated using the following heat conduction model: where: h is the heat convection heat transfer coefficient, A is the surface area of the material, is the ambient temperature, T is the current temperature of the material; Temperature change rate: the rate of change of temperature over time is approximately estimated by differential calculation, and the change of temperature over time is calculated by the temperature data obtained in real time, between two consecutive time points and , the temperatures are and , and the approximate value of the temperature change rate is estimated by the following differential calculation formula: ; Relationship of thermal power and rate of temperature change: The rate of temperature change is expressed by the mass of the object, the specific heat capacity, and the temperature change: where: m is the mass of the object, c is the specific heat capacity of the object, is the rate of temperature change; When > 0, then the temperature of the object will increase, > 0; When <0, then the temperature of the object will decrease, <0; When = 0, then the system reaches thermal equilibrium, = 0.

4. A method of regulating the magnetization of a quantity according to claim 3, characterized in that ； When the thermal power input and output only differ by zero = 0, i.e. , the Curie temperature of the material is reached, the current in this case being the target current determined as a function of the temperature ; Comparing the target current determined in accordance with the critical field with the target current determined in accordance with the temperature and taking the smaller value as the target current for the subsequent operation.

5. A system for the quantitative magnetization of a control system for implementing a method for the quantitative magnetization of a control system according to any one of claims 1 to 4, characterized in that It comprises: An information acquisition module, a data processing module, a statistical analysis module and a model construction module; The information acquisition module records the temperature of the material and the environment at each time, uses a magnetometer to measure the magnetization intensity of the material and the external magnetic field intensity, and uses a digital ammeter to monitor the current in real time; The data processing module calculates the critical magnetic field of the material through the magnetization intensity and the external magnetic field intensity, determines whether the magnetization intensity of the material is close to saturation, and analyzes whether the heat power input and output of the material are balanced through thermal equilibrium; The statistical analysis module determines the target current under the condition according to the critical magnetic field of the material and the Curie temperature of the material; The model construction module selects a current growth model according to the target current and the slope of the initial magnetization segment in the magnetization curve, so that the current grows in the early stage, and then uses constant current for magnetizing after reaching the target current.

6. A device for quantitatively magnetizing, for implementing a method for regulating and controlling the quantitative magnetization according to any one of claims 1 to 4, characterized in that, The device comprises a power supply and an electromagnetic coil, the power supply is used to provide a stable current source to control the current size and waveform, and the electromagnetic coil is used to generate a magnetic field.

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