Magnetic coupler with adjustable air gap and its control system

Abstract

The present invention relates to the technical field of magnetic couplers, and in particular to a magnetic coupler with adjustable air gap and a control system thereof, comprising a magnetic coupler body and an air gap spacing self-adjusting mechanism arranged at the load end of the magnetic coupler body, the air gap spacing self-adjusting mechanism being used to adaptively adjust the air gap spacing, the air gap spacing self-adjusting mechanism comprising a shaft cylinder, a connecting shaft and an adjusting shaft, the connecting shaft being arranged at one end of the shaft cylinder that is closed along the length direction. The magnetic coupler with adjustable air gap provided by the present invention is provided with an air gap spacing self-adjusting mechanism at the load end of the magnetic coupler body, and during use, the air gap of the magnetic coupler body is adaptively adjusted, which can significantly optimize performance, protect equipment, extend service life, improve operating stability, increase control accuracy and reduce maintenance costs.

Description

Technical Field

[0001] The invention relates to the technical field of magnetic couplers, in particular to a magnetic coupler with adjustable air gap and a control system thereof. Background Art

[0002] In the prior art, magnetic couplings, as a non-contact power transmission device, are widely used in situations where isolated transmission or liquid leakage prevention is required, such as chemical, food processing, and pharmaceutical fields. Traditional magnetic couplings are mainly composed of an inner rotor (active side), an outer rotor (driven side), and permanent magnets in the isolation gap. They achieve contactless transmission of power through magnetic force. Disc-type permanent magnetic couplings are the most widely used and earliest adopted structural form of permanent magnetic coupling products. From invention to application, disc-type permanent magnetic couplings have been used in various industries in various practices. Their operational safety, reliability, and heat dissipation performance have been widely recognized by users.

[0003] A Chinese patent with authorization announcement number CN220440491U discloses a magnetic coupler capable of achieving rapid braking, comprising a housing, wherein an input shaft is rotatably supported in the housing, an end of the input shaft is connected to a first copper rotor, the first copper rotor is located inside the coupler housing, a permanent magnet is arranged inside the coupler housing, an output shaft is rotatably supported on the housing, one end of the output shaft is provided with a second copper rotor (6) also located in the coupler housing, and a braking mechanism matching the output shaft is also arranged on the housing.

[0004] As described in the above application, in the prior art, for disc-type magnetic couplers, the air gap spacing is generally fixed, and there is a lack of a mechanism for monitoring and adjusting the air gap spacing, that is, during use, it is impossible to adaptively adjust the air gap spacing according to the operating state of the magnetic coupler, that is, it is impossible to adaptively adjust the air gap spacing based on the rotational speed and magnet temperature to ensure energy conversion efficiency, reduce energy waste, and improve the high temperature resistance and stability of the coupler. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a magnetic coupler with adjustable air gap and a control system thereof.

[0006] The present invention adopts the following technical solution: a magnetic coupler with adjustable air gap, comprising a magnetic coupler body and an air gap self-adjusting mechanism arranged at the load end of the magnetic coupler body, wherein the air gap self-adjusting mechanism is used to adaptively adjust the air gap;

[0007] The air gap spacing self-adjusting mechanism includes a shaft cylinder, a connecting shaft and an adjusting shaft. The connecting shaft is arranged at one end of the shaft cylinder that is closed along the length direction, and the connecting shaft and the shaft cylinder are an integrated molding structure to ensure their connection strength. The adjusting shaft is inserted into one end of the shaft cylinder that is open along the length direction. A driving mechanism is arranged on the outer wall of the shaft cylinder, which is used to drive the adjusting shaft to move forward and backward. By moving the adjusting shaft forward and backward in the shaft cylinder, the depth of the adjusting shaft inserted into the shaft cylinder is changed to achieve adjustment of the air gap spacing.

[0008] As a further description of the above technical solution: an expansion section is provided at one end of the adjustment shaft close to the shaft cylinder, and a plurality of strip protrusions are provided on the outer wall of the expansion section, and the plurality of strip protrusions are distributed in a ring shape with equal intervals, and a strip groove is provided on the inner wall of the shaft cylinder for cooperating with the strip protrusions, and the length of the strip groove is greater than the length of the strip protrusion, and the adjustment shaft is limited by cooperating with the strip protrusion and the strip groove, so that relative rotation between the adjustment shaft and the shaft cylinder does not occur.

[0009] As a further description of the above technical solution: the driving mechanism includes an annular seat sleeved on the outer wall of the shaft cylinder, which can slide back and forth on the shaft cylinder, and the outer wall of the shaft cylinder is penetrated by a strip hole, and a connecting block is integrally formed on the inner wall of the annular seat, and the other end of the connecting block is welded and fixed to the outer wall of the expanded diameter section, and a fixing block is welded on the end of the outer wall of the shaft cylinder away from the connecting shaft, and an electric telescopic rod is installed between the fixing block and the annular seat.

[0010] As a further description of the above technical solution: the magnetic coupler body includes a motor shaft, a conductor rotor, a load shaft and a magnetic rotor, the conductor rotor is installed on one end of the motor shaft through a first mounting seat, the magnetic rotor is fixed to one end of the load shaft through a second mounting seat, and a permanent magnet is embedded and installed on the magnetic rotor, and there is an air gap between the conductor rotor and the magnetic rotor.

[0011] A control system of a magnetic coupler with adjustable air gap is implemented based on the magnetic coupler with adjustable air gap, and comprises:

[0012] A data acquisition module, which acquires historical working training parameters of the magnetic coupler body, wherein the historical working training parameters are acquired when the magnetic coupler body is in normal use, and the historical working training parameters include comprehensive operating parameters and air gap spacing, wherein the comprehensive operating parameters include load value, magnetic coupler body operating coefficient and external temperature;

[0013] The model training module trains a machine learning model for predicting the air gap spacing based on historical working training parameters, collects real-time comprehensive operating parameters, and predicts the air gap spacing based on the trained machine learning model;

[0014] The analysis control module collects the real-time air gap spacing, compares the real-time air gap spacing with the predicted air gap spacing, obtains the air gap decay value, compares and analyzes the air gap decay value with the preset safety time decay threshold, and generates an air gap spacing optimization instruction.

[0015] As a further description of the above technical solution: the factors affecting the operation coefficient of the magnetic coupling body include speed data, temperature data and standard vibration data, and the expression of the operation coefficient of the magnetic coupling body is:

[0016]

[0017] Wherein, CLyx is the operating coefficient of the magnetic coupling body, Zs is the speed data, Wd is the temperature data, Zd is the standard vibration data, β1, β2 and β3 are weight factors, and β1, β2 and β3 are all greater than 0.

[0018] As a further description of the above technical solution: the method for obtaining the standard vibration data includes:

[0019] Step K1: The motor shaft 1, the load shaft 4, the conductor rotor 3 and the magnetic rotor 6 of the magnetic coupler are used as vibration collection points, acceleration sensors are installed at the vibration collection points, vibration data is collected by the acceleration sensors, and a vibration data set is established;

[0020] Step K2: Perform time domain analysis on the collected vibration data to obtain the mean value of the vibration signal;

[0021] Step K3: Establish a set of the mean values ​​of the vibration data of each vibration collection point, calculate the discreteness of the data in the set, compare the discreteness with the preset discreteness threshold, and when the discreteness threshold is exceeded, remove the vibration data corresponding to the mean value with the largest difference from the mean standard value in the set, and mark the other vibration data as available vibration data; conversely, when the discreteness threshold is not exceeded, the vibration data is not extracted;

[0022] Step K4: Calculate and obtain the average value of the available vibration data as standard vibration data.

[0023] As a further description of the above technical solution: the training method of the machine learning model for predicting the air gap spacing includes:

[0024] Convert the collected comprehensive operating parameters into a corresponding set of feature vectors;

[0025] Each group of feature vectors is used as the input of the machine learning model, the machine learning model takes the air gap spacing corresponding to each group of comprehensive operating parameters as the output, takes the air gap spacing actually corresponding to each group of comprehensive operating parameters as the prediction target, and takes minimizing the loss function value of the machine learning model as the training target; training is stopped when the loss function value of the machine learning model is less than or equal to the preset target loss value.

[0026] As a further description of the above technical solution: the method for obtaining the air gap decay value includes:

[0027] The expression of air gap decay value is:

[0028] QXz=YCz-SSz;

[0029] Where QXz is the air gap decay value, YCz is the predicted air gap spacing, and SSz is the real-time air gap spacing.

[0030] As a further description of the above technical solution: the air gap spacing optimization instruction includes a first optimization instruction, a second optimization instruction and a shutdown maintenance instruction, the first optimization instruction is an instruction to reduce the air gap spacing, and the second optimization instruction is an instruction to increase the air gap spacing.

[0031] Methods for generating air gap spacing optimization instructions include:

[0032] The preset decay thresholds are QX1, QX2, QX3 and QX4, where QX1<QX2<0<QX3<QX4;

[0033] When QXz<QX1 or QXz>QX4, a shutdown maintenance instruction is generated;

[0034] When QX2<QXz<QX3, no air gap optimization instruction is generated;

[0035] When QX1≤QXz≤QX2, the first optimization instruction is generated;

[0036] When QX3≤QXz≤QX4, the second optimization instruction is generated.

[0037] Beneficial effects:

[0038] The present invention provides an adjustable air gap magnetic coupler, wherein an air gap self-adjusting mechanism is provided on the load end of the magnetic coupler body. During use, the air gap of the magnetic coupler body is adaptively adjusted, which can significantly optimize performance, protect equipment, extend service life, improve operating stability, increase control accuracy, and reduce maintenance costs.

[0039] Furthermore, by collecting historical working training parameters of the magnetic coupler body, training a machine learning model that predicts the air gap spacing, collecting real-time comprehensive operating parameters, predicting the air gap spacing based on the trained machine learning model, comparing the real-time air gap spacing with the predicted air gap spacing, obtaining the air gap decay value, comparing and analyzing the air gap decay value with the preset safety time decay threshold, and generating air gap spacing optimization instructions, that is, realizing intelligent adaptive adjustment of the air gap spacing, making the torque output more accurate, meeting the precise control requirements under different working conditions, improving the control accuracy of the system, and real-time adjustment of the air gap can quickly respond to changes in working conditions, thereby improving the real-time control capability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further explained below in conjunction with the accompanying drawings and embodiments:

[0041] Figure 1 A cross-sectional schematic diagram of a magnetic coupler with adjustable air gap provided by an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of the structure of the air gap self-adjusting mechanism provided by an embodiment of the present invention;

[0043] Figure 3 A schematic diagram of the structure of an adjustment shaft provided in an embodiment of the present invention;

[0044] Figure 4 A cross-sectional view of a shaft cylinder provided by an embodiment of the present invention;

[0045] Figure 5 A schematic diagram of the structure of a driving mechanism provided by an embodiment of the present invention;

[0046] Figure 6 A module connection diagram of a control system of a magnetic coupler with adjustable air gap provided in an embodiment of the present invention;

[0047] Figure 7 A flowchart of a method for acquiring standard vibration data provided by an embodiment of the present invention.

[0048] In the figure: 1, motor shaft; 2, first mounting seat; 3, conductor rotor; 4, load shaft; 5, second mounting seat; 6, magnetic rotor; 7, permanent magnet; 8, air gap self-adjusting mechanism; 81, shaft cylinder; 82, connecting shaft; 83, adjusting shaft; 84, expanded diameter section; 85, strip protrusion; 86, strip groove; 87, annular seat; 88, connecting block; 89, fixing block; 810, electric telescopic rod. DETAILED DESCRIPTION

[0049] In order to make the technical means, creative features, objectives and effects of the present invention easy to understand, the present invention is further described below with reference to specific diagrams. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0050] Example 1

[0051] See also Figure 1-Figure 5 , an embodiment of the present invention provides a technical solution: a magnetic coupler with adjustable air gap, comprising a magnetic coupler body and an air gap self-adjusting mechanism 8 arranged at the load end of the magnetic coupler body, the air gap self-adjusting mechanism 8 is used to adaptively adjust the air gap;

[0052] The air gap spacing self-adjusting mechanism 8 includes a shaft cylinder 81, a connecting shaft 82 and an adjusting shaft 83. The connecting shaft 82 is arranged at one end of the shaft cylinder 81 that is closed along the length direction, and the connecting shaft 82 and the shaft cylinder 81 are an integrated molding structure to ensure their connection strength. The adjusting shaft 83 is inserted into one end of the shaft cylinder 81 that is open along the length direction. A driving mechanism is arranged on the outer wall of the shaft cylinder 81, which is used to drive the adjusting shaft 83 to move forward and backward. By moving the adjusting shaft 83 forward and backward in the shaft cylinder 81, the depth of the adjusting shaft 83 inserted into the shaft cylinder 81 is changed to adjust the air gap spacing.

[0053] An expanded diameter section 84 is provided at one end of the adjustment shaft 83 close to the shaft cylinder 81, and a plurality of strip protrusions 85 are provided on the outer wall of the expanded diameter section 84. The plurality of strip protrusions 85 are distributed in a ring shape with equal intervals. A strip groove 86 for cooperating with the strip protrusions 85 is provided on the inner wall of the shaft cylinder 81. The length of the strip groove 86 is greater than the length of the strip protrusion 85. By cooperating with the strip protrusion 85 and the strip groove 86, the adjustment shaft 83 is limited so that relative rotation between it and the shaft cylinder 81 does not occur.

[0054] The driving mechanism includes an annular seat 87 sleeved on the outer wall of the shaft cylinder 81, which can slide back and forth on the shaft cylinder 81. A strip-shaped hole is opened through the outer wall of the shaft cylinder 81. A connecting block 88 is integrally formed on the inner wall of the annular seat 87, and the other end of the connecting block 88 is welded and fixed to the outer wall of the expanded diameter section 84. A fixing block 89 is welded on the end of the outer wall of the shaft cylinder 81 away from the connecting shaft 82, and an electric telescopic rod 810 is installed between the fixing block 89 and the annular seat 87.

[0055] The magnetic coupler body includes a motor shaft 1, a conductor rotor 3, a load shaft 4 and a magnetic rotor 6. The conductor rotor 3 is mounted on one end of the motor shaft 1 through a first mounting seat 2, and the magnetic rotor 6 is fixed to one end of the load shaft 4 through a second mounting seat 5. A permanent magnet 7 is embedded in the magnetic rotor 6, and there is an air gap between the conductor rotor 3 and the magnetic rotor 6.

[0056] Specifically, the air gap self-adjusting mechanism 8 is controlled to extend and retract by the driving mechanism, thereby adjusting the position of the magnetic rotor 6 located at one end of the load shaft 4, that is, adjusting the air gap between the conductor rotor 3 and the magnetic rotor 6;

[0057] The specific method of adjusting the air gap spacing by the driving mechanism is firstly to control the extension and retraction of the electric telescopic rod 810 to drive the annular seat 87 to move forward and backward along the length direction on the outer wall of the shaft cylinder 81, and the annular seat 87 drives the adjustment shaft 83 to move through the connecting block 88, thereby changing the overlapping length of the adjustment shaft 83 and the shaft cylinder 81, and the load shaft 4 is fixed to one end of the adjustment shaft 83, and the position of the magnetic rotor 6 located at one end of the load shaft 4 is adjusted, that is, the air gap spacing between the conductor rotor 3 and the magnetic rotor 6 is adjusted.

[0058] In this embodiment, the magnetic coupler with adjustable air gap is provided with an air gap self-adjusting mechanism 8 on the load end of the magnetic coupler body. During use, the air gap of the magnetic coupler body can be adaptively adjusted according to the rotation speed, temperature and vibration of the magnetic coupler, which can significantly optimize performance, protect equipment, extend life, improve operating stability, improve control accuracy and reduce maintenance costs. This adaptive adjustment method enables the magnetic coupler to better adapt to different working conditions, ensuring efficient, stable and reliable operation of the system, and adaptive air gap adjustment makes the torque output more accurate, meets the precise control requirements under different working conditions, and improves the control accuracy of the system.

[0059] Example 2

[0060] Reference Figure 1-Figure 6 This embodiment provides a technical solution: a control system of a magnetic coupler with adjustable air gap, which is implemented based on the magnetic coupler with adjustable air gap in embodiment 1, including:

[0061] A data acquisition module collects historical working training parameters of the magnetic coupler body. The historical working training parameters are collected when the magnetic coupler body is in normal use. The historical working training parameters include comprehensive operating parameters and air gap spacing. The comprehensive operating parameters include load value, magnetic coupler body operating coefficient and external temperature.

[0062] It should be noted that the load value can be collected and obtained through a torque sensor.

[0063] The model training module trains a machine learning model for predicting the air gap spacing based on historical working training parameters, collects real-time comprehensive operating parameters, and predicts the air gap spacing based on the trained machine learning model;

[0064] The analysis control module collects the real-time air gap spacing, compares the real-time air gap spacing with the predicted air gap spacing, obtains the air gap decay value, compares and analyzes the air gap decay value with the preset safety time decay threshold, and generates an air gap spacing optimization instruction.

[0065] The factors affecting the operation coefficient of the magnetic coupling body include speed data, temperature data and standard vibration data. The expression of the operation coefficient of the magnetic coupling body is:

[0066]

[0067] Wherein, CLyx is the operating coefficient of the magnetic coupling body, Zs is the speed data, Wd is the temperature data, Zd is the standard vibration data, β1, β2 and β3 are weight factors, and β1, β2 and β3 are all greater than 0.

[0068] It should be noted that the rotational speed data can be measured by a photoelectric sensor by detecting the reflected light from the mark on the rotating part, and the temperature data can be directly collected and obtained by a temperature sensor.

[0069] It should be noted that the size of the weight factor is a specific value obtained by quantifying each data to facilitate subsequent comparison. The size of the weight factor depends on the number of comprehensive parameters and the preliminary setting of the corresponding weight factor for each set of comprehensive parameters by technical personnel in this field.

[0070] It should be noted that the larger the speed data, the smaller the air gap spacing is required, and vice versa. Because at high speed, a small air gap can maintain stable magnetic force transmission and reduce vibration and noise. At low speed, a large air gap can also provide sufficient magnetic force transmission while reducing unnecessary friction and wear. The greater the vibration, the smaller the air gap spacing is required, and vice versa. Because a small air gap can maintain stable magnetic force transmission and reduce vibration. The larger the temperature data, the larger the air gap spacing is required, and vice versa. Because the larger the air gap spacing, the faster the heat dissipation.

[0071] The training method of the machine learning model for predicting the air gap spacing includes:

[0072] Convert the collected comprehensive operating parameters into a corresponding set of feature vectors;

[0073] Each set of feature vectors is used as the input of the machine learning model. The machine learning model takes the air gap spacing corresponding to each set of comprehensive operating parameters as output, the air gap spacing actually corresponding to each set of comprehensive operating parameters as the prediction target, and minimizing the loss function value of the machine learning model as the training target; training is stopped when the loss function value of the machine learning model is less than or equal to the preset target loss value.

[0074] The loss function value of the machine learning model is the mean square error;

[0075] Mean square error is one of the commonly used loss functions. The loss function is:

[0076] Minimization is used as the goal to train the model so that the machine learning model better fits the data, thereby improving the performance and accuracy of the model;

[0077] In the loss function, MSE is the loss function value of the machine learning model, x is the feature vector group number; m is the number of feature vector groups; y is the number of feature vector groups; x is the sales quantity of each dish at the future moment corresponding to the xth group of feature vectors, is the actual sales quantity of each dish at the future moment corresponding to the x-th group of feature vectors;

[0078] Other model parameters of the machine learning model, target loss value, optimization algorithm, training set test set validation set ratio, and loss function optimization are all achieved through actual engineering implementation and continuous experimental tuning.

[0079] Methods for obtaining the air gap decay value include:

[0080] The expression of air gap decay value is:

[0081] QXz=YCz-SSz;

[0082] Where QXz is the air gap decay value, YCz is the predicted air gap spacing, and SSz is the real-time air gap spacing.

[0083] It should be noted that the real-time air gap spacing can be obtained through a laser displacement sensor, and the distance is detected by laser reflection.

[0084] The air gap spacing optimization instruction includes a first optimization instruction, a second optimization instruction and a shutdown maintenance instruction. The first optimization instruction is an instruction to reduce the air gap spacing, and the second optimization instruction is an instruction to increase the air gap spacing.

[0085] Methods for generating air gap spacing optimization instructions include:

[0086] The preset decay thresholds are QX1, QX2, QX3 and QX4, where QX1<QX2<0<QX3<QX4. The decay thresholds are determined by those skilled in the art based on a large number of experiments;

[0087] When QXz<QX1 or QXz>QX4, a shutdown and maintenance instruction is generated, that is, the air gap spacing cannot be adjusted through optimization, and it is necessary to shut down in time to avoid safety hazards.

[0088] When QX2<QXz<QX3, no air gap optimization instruction is generated, that is, the air gap is within a reasonable range and no adjustment is required.

[0089] When QX1≤QXz≤QX2, the first optimization instruction is generated, which proves that the air gap spacing is too large and needs to be reduced. The driving mechanism is controlled by the generated first optimization instruction, and the driving mechanism controls the adjustment shaft 83 to move forward and backward. By moving the adjustment shaft 83 forward and backward in the shaft cylinder 81, the depth of the adjustment shaft 83 inserted into the shaft cylinder 81 is changed, thereby adjusting the air gap spacing.

[0090] When QX3≤QXz≤QX4, the second optimization instruction is generated. That is, it proves that the air gap spacing is too small and needs to be increased. The second optimization instruction is generated to control the drive mechanism, and the drive mechanism controls the adjustment shaft 83 to move forward and backward. By adjusting the adjustment shaft 83 to move forward and backward in the shaft cylinder 81, the depth of the adjustment shaft 83 inserted into the shaft cylinder 81 is changed to adjust the air gap spacing.

[0091] Specifically, the control system of the magnetic coupler with adjustable air gap collects historical working training parameters of the magnetic coupler body, trains a machine learning model that predicts the air gap spacing, collects real-time comprehensive operating parameters, predicts the air gap spacing based on the trained machine learning model, compares the real-time air gap spacing with the predicted air gap spacing, obtains the air gap decay value, compares and analyzes the air gap decay value with a preset safety time decay threshold, and generates an air gap spacing optimization instruction, thereby realizing intelligent and adaptive adjustment of the air gap spacing, making the torque output more accurate and meeting the precise control requirements under different working conditions, thereby improving the control accuracy of the system, and real-time adjustment of the air gap can quickly respond to changes in working conditions and enhance the real-time control capability of the system.

[0092] Example 3

[0093] Based on the above embodiments, this embodiment further discloses a method for obtaining standard vibration data;

[0094] It should be noted that in the prior art, generally, the vibration data of a single point on the magnetic coupler is directly used as the collected vibration data, which has a large error and lacks processing of the collected data, resulting in the collected data being subject to electromagnetic interference, thereby causing the data to be inaccurate and unusable.

[0095] Standard vibration data acquisition methods include:

[0096] Step K1: The motor shaft 1, the load shaft 4, the conductor rotor 3 and the magnetic rotor 6 of the magnetic coupler are used as vibration collection points, acceleration sensors are installed at the vibration collection points, vibration data is collected by the acceleration sensors, and a vibration data set is established;

[0097] Step K2: Perform time domain analysis on the collected vibration data to obtain the mean value of the vibration signal;

[0098] Step K3: Establish a set of the mean values ​​of the vibration data of each vibration collection point, calculate the discreteness of the data in the set, compare the discreteness with the preset discreteness threshold, and when the discreteness threshold is exceeded, remove the vibration data corresponding to the mean value with the largest difference from the mean standard value in the set, and mark the other vibration data as available vibration data; conversely, when the discreteness threshold is not exceeded, the vibration data is not extracted;

[0099] Step K4: Calculate and obtain the average value of the available vibration data as standard vibration data.

[0100] Specifically, the method for obtaining standard vibration data first ensures that the measurement points can represent the overall vibration level of the magnetic coupler through multi-point measurement, and performs time domain analysis on the collected vibration data to obtain the mean of the vibration signal. By obtaining the degree of dispersion of the mean of multiple vibration data, it is determined whether there is data in the collected vibration data that is subject to electromagnetic interference. If the degree of dispersion of the mean exceeds a preset degree of dispersion threshold, it proves that the collected vibration data is subject to electromagnetic interference. Then, the vibration data corresponding to the mean with the largest difference from the standard value of the mean in the vibration data set is eliminated, and the other vibration data is marked as available vibration data. The average value of the available vibration data is calculated and obtained as the standard vibration data, thereby ensuring that the obtained standard vibration data can accurately reflect the overall vibration level of the magnetic coupler.

[0101] The basic principles, main features and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and the description in the specification are only to illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A magnetic coupler with adjustable air gap, characterized in that: It comprises a magnetic coupler body and an air gap self-adjusting mechanism (8) arranged at the load end of the magnetic coupler body, wherein the air gap self-adjusting mechanism (8) is used to adaptively adjust the air gap; The air gap self-adjusting mechanism (8) comprises a shaft cylinder (81), a connecting shaft (82) and an adjusting shaft (83); the connecting shaft (82) is arranged at one end of the shaft cylinder (81) which is closed along the length direction, and the connecting shaft (82) and the shaft cylinder (81) are an integrated structure; the adjusting shaft (83) is plugged into one end of the shaft cylinder (81) which is open along the length direction; a driving mechanism is arranged on the outer wall of the shaft cylinder (81) for driving the adjusting shaft (83) to move forward and backward; by moving the adjusting shaft (83) forward and backward in the shaft cylinder (81), the depth of the adjusting shaft (83) inserted into the shaft cylinder (81) is changed, thereby achieving adjustment of the air gap; The end of the adjustment shaft (83) close to the shaft cylinder (81) is provided with an expanded diameter section (84); the driving mechanism comprises an annular seat (87) sleeved on the outer wall of the shaft cylinder (81); the annular seat (87) can slide forward and backward on the shaft cylinder (81); a strip-shaped hole is penetrated through the outer wall of the shaft cylinder (81); a connecting block (88) is integrally formed on the inner wall of the annular seat (87); the other end of the connecting block (88) is welded and fixed to the outer wall of the expanded diameter section (84); a fixing block (89) is welded on the end of the outer wall of the shaft cylinder (81) away from the connecting shaft (82); an electric telescopic rod (810) is installed between the fixing block (89) and the annular seat (87).

2. The magnetic coupler with adjustable air gap according to claim 1, characterized in that: A plurality of strip-shaped protrusions (85) are arranged on the outer wall of the diameter-expanding section (84), and the plurality of strip-shaped protrusions (85) are distributed in a circular shape with equal intervals. A strip-shaped groove (86) for matching with the strip-shaped protrusions (85) is provided on the inner wall of the shaft cylinder (81), and the length of the strip-shaped groove (86) is greater than the length of the strip-shaped protrusions (85). By matching the strip-shaped protrusions (85) with the strip-shaped grooves (86), the adjustment shaft (83) is limited so that relative rotation between the adjustment shaft (83) and the shaft cylinder (81) does not occur.

3. The magnetic coupler with adjustable air gap according to claim 1, characterized in that: The magnetic coupler body comprises a motor shaft (1), a conductor rotor (3), a load shaft (4) and a magnetic rotor (6); the conductor rotor (3) is mounted on one end of the motor shaft (1) via a first mounting seat (2); the magnetic rotor (6) is mounted and fixed on one end of the load shaft (4) via a second mounting seat (5); a permanent magnet (7) is embedded and mounted on the magnetic rotor (6); and an air gap is provided between the conductor rotor (3) and the magnetic rotor (6).

4. A control system for a magnetic coupler with an adjustable air gap, used to control the magnetic coupler with an adjustable air gap as claimed in any one of claims 1 to 3, characterized in that: include: A data acquisition module, which collects historical working training parameters of the magnetic coupler body, wherein the historical working training parameters are collected when the magnetic coupler body is in normal use, and the historical working training parameters include comprehensive operating parameters and air gap spacing, wherein the comprehensive operating parameters include load value, magnetic coupler body operating coefficient and external temperature; The model training module trains a machine learning model for predicting the air gap spacing based on historical working training parameters, collects real-time comprehensive operating parameters, and predicts the air gap spacing based on the trained machine learning model; The analysis control module collects the real-time air gap spacing, compares the real-time air gap spacing with the predicted air gap spacing, obtains the air gap decay value, compares and analyzes the air gap decay value with the preset safety time decay threshold, and generates an air gap spacing optimization instruction.

5. The control system of the magnetic coupling with adjustable air gap according to claim 4, characterized in that: The factors affecting the operation coefficient of the magnetic coupling body include speed data, temperature data and standard vibration data. The expression of the operation coefficient of the magnetic coupling body is: Wherein, CLyx is the operating coefficient of the magnetic coupling body, Zs is the speed data, Wd is the temperature data, Zd is the standard vibration data, β1, β2 and β3 are weight factors, and β1, β2 and β3 are all greater than 0.

6. The control system of the magnetic coupling with adjustable air gap according to claim 5, characterized in that: The method for obtaining the standard vibration data comprises: Step K1: The motor shaft (1), the load shaft (4), the conductor rotor (3) and the magnetic rotor (6) of the magnetic coupler are used as vibration collection points, acceleration sensors are installed at the vibration collection points, vibration data is collected by the acceleration sensors, and a vibration data set is established; Step K2: Perform time domain analysis on the collected vibration data to obtain the mean value of the vibration signal; Step K3: Establish a set of the mean values ​​of the vibration data of each vibration collection point, calculate the discreteness of the data in the set, compare the discreteness with the preset discreteness threshold, and when the discreteness threshold is exceeded, remove the vibration data corresponding to the mean value with the largest difference from the mean standard value in the set, and mark the other vibration data as available vibration data; conversely, when the discreteness threshold is not exceeded, the vibration data is not extracted; Step K4: Calculate and obtain the average value of the available vibration data as standard vibration data.

7. The control system of the magnetic coupling with adjustable air gap according to claim 4, characterized in that: The training method of the machine learning model for predicting the air gap spacing includes: Convert the collected comprehensive operating parameters into a corresponding set of feature vectors; Each group of feature vectors is used as the input of the machine learning model, the machine learning model takes the air gap spacing corresponding to each group of comprehensive operating parameters as the output, takes the air gap spacing actually corresponding to each group of comprehensive operating parameters as the prediction target, and takes minimizing the loss function value of the machine learning model as the training target; training is stopped when the loss function value of the machine learning model is less than or equal to the preset target loss value.

8. The control system of the magnetic coupling with adjustable air gap according to claim 4, characterized in that: The method for obtaining the air gap decay value comprises: The expression of air gap decay value is: QXz=YCz-SSz; Where QXz is the air gap decay value, YCz is the predicted air gap spacing, and SSz is the real-time air gap spacing.

9. The control system of the magnetic coupling with adjustable air gap according to claim 8, characterized in that: The air gap spacing optimization instruction includes a first optimization instruction, a second optimization instruction and a shutdown maintenance instruction, wherein the first optimization instruction is an instruction to reduce the air gap spacing, and the second optimization instruction is an instruction to increase the air gap spacing; Methods for generating air gap spacing optimization instructions include: The preset decay thresholds are QX1, QX2, QX3 and QX4, where QX1<QX2<0<QX3<QX4; When QXz<QX1 or QXz>QX4, a shutdown maintenance instruction is generated; When QX2<QXz<QX3, no air gap optimization instruction is generated; When QX1≤QXz≤QX2, the first optimization instruction is generated; When QX3≤QXz≤QX4, the second optimization instruction is generated.

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