A magnetically assisted fan wheel spinning bike sharing system and method

Abstract

The present invention relates to the field of magnetic-assisted driving technology, specifically a magnetic-assisted fan wheel dynamic bicycle sharing system and method thereof, wherein the system includes a magnetic fluid dynamic control module, a magnetic field monitoring module, a stability adjustment module, a superconducting material screening module, a coil design module, and a control strategy module. In the present invention, by adjusting the intensity and frequency of the current in the conductive fluid, the fluid dynamic environment around the magnetic-assisted fan wheel is optimized, which not only improves the energy efficiency of the system but also reduces energy consumption. By adjusting and controlling the magnetic field intensity in real time and adjusting the electromagnetic field characteristics, the mechanical friction is effectively reduced and the dynamic response of the system is enhanced. By selecting superconducting materials that match the target critical temperature and magnetic response requirements, the overall design is further optimized and the dynamic performance of the bicycle is enhanced, so that the bicycle can effectively improve the riding efficiency and reduce the maintenance cost without adding extra weight, and realize accurate control of the bicycle's movement path and speed.

Description

Technical Field

[0001] The present invention relates to the field of magnetic-assisted driving technology, and in particular to a magnetic-assisted fan wheel spinning bicycle sharing system and method thereof. Background Art

[0002] The field of magnetic-assisted drive technology mainly involves the use of magnetic force to assist or fully realize mechanical movement. In many applications, magnetic-assisted technology can provide more efficient and low-noise solutions. Especially in transportation and power systems, magnetic-assisted drive is used to reduce mechanical friction and enhance the energy efficiency of the system. It involves the design and application of permanent magnets and electromagnets, which transmit force through the interaction of magnetic fields to drive the movement of mechanical parts. In the magnetic-assisted drive system, the magnetic field can not only be used directly to push the object, but also to precisely control the movement path and speed by changing the distribution and intensity of the magnetic field.

[0003] Among them, the magnetic-assisted fan wheel dynamic bike sharing system uses magnetic force to assist the operation of the fan wheel, reducing the manpower required when riding and providing a smoother and more comfortable riding experience. The main purpose of the bicycle is to provide a more efficient and environmentally friendly option for urban shared transportation. By applying magnetic-assisted technology, the bicycle can effectively improve riding efficiency and reduce maintenance costs without adding extra weight. The design of the fan wheel not only increases the power performance of the bicycle, but also provides support for heat dissipation during riding.

[0004] Existing magnetic-assisted drive technology relies on the more traditional design of permanent magnets and electromagnets, which limits the flexibility and accuracy of magnetic field adjustment. In the application of power systems and vehicles, although it can reduce mechanical friction, there is limited room for improvement in dynamic response and energy efficiency. Due to the lack of real-time adjustment capabilities for current intensity and frequency, existing systems are unable to cope with performance adjustments in highly dynamic environments, resulting in inaccurate control of magnetic field distribution and motion paths. Existing technologies do not have targeted optimization in material selection, which limits the optimal performance of the entire system in specific applications. This is particularly evident in spinning bikes, which require highly dynamic responses and low energy consumption, and are unsatisfactory in terms of maintenance costs and operating efficiency. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a magnetic-assisted fan wheel spinning bike sharing system and method.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a magnetic-assisted fan wheel spinning bicycle sharing system comprises:

[0007] The magnetic fluid dynamic control module adjusts the intensity and frequency of the current in the conductive fluid based on the magnetohydrodynamic model, optimizes the fluid dynamic environment around the magnetic assisted fan wheel, and obtains current control data;

[0008] The magnetic field monitoring module uses the current control data to adjust and control the intensity of the magnetic field around the magnetic-assisted fan wheel in real time, record the magnetic field changes, and obtain the magnetic field intensity parameters;

[0009] The stability adjustment module adjusts the electromagnetic field characteristics through the magnetic field strength parameters, corrects the deviation that does not match the normal mode, optimizes the dynamic response of the shared spinning bike, and obtains the stability index;

[0010] The superconducting material screening module identifies materials that match the target critical temperature and magnetic response requirements through the stability index, compares the performance indicators of the differentiated materials, selects the optimal superconducting material, and generates a list of selected superconducting materials;

[0011] The coil design module calculates the optimal shape and size of the coil required for the spinning bike according to the selected superconducting material list, adjusts the coil arrangement and performs design verification to obtain a coil configuration plan;

[0012] The control strategy module formulates a current intensity and direction control strategy according to the coil configuration scheme, performs stable transmission of the magnetic field, and monitors the current state and magnetic field effect to obtain a current control result;

[0013] The current control data includes the peak intensity, valley intensity, average frequency and change trend of the current; the magnetic field strength parameters include the peak intensity, valley intensity, real-time volatility and stability index of the magnetic field; the stability indicators include the response time, recovery time, deviation rate and adjustment degree of the coil; the list of selected superconducting materials includes the critical temperature, magnetic flux density, anti-magnetic variation performance and thermal stability of the selected materials; the coil configuration plan includes the shape, size, arrangement and expected magnetic field coverage of the coil; the current control results include the stability, response speed and efficiency of the current.

[0014] As a further solution of the present invention, the magnetic fluid dynamic control module includes:

[0015] The current monitoring submodule performs real-time monitoring of current intensity based on the magnetohydrodynamic model. It adjusts and controls the current to match the requirements under differentiated working conditions, and performs frequency adjustment to match the operation requirements of the magnetic-assisted fan wheel to generate current parameter adjustment results.

[0016] The fluid adjustment submodule adopts the current parameter adjustment result, identifies the optimal fluid flow pattern by calculating fluid dynamics parameters, adjusts the flow field around the magnetic-assisted fan wheel to optimize the fan efficiency, and obtains the fluid environment optimization result;

[0017] The data output submodule records the environmental parameters around the magnetic-assisted fan wheel through the fluid environment optimization result, analyzes the operation data of the magnetic-assisted fan wheel to identify key flow characteristics, and obtains current control data.

[0018] As a further solution of the present invention, the magnetic field monitoring module includes:

[0019] The magnetic field control submodule adjusts the intensity of the magnetic field around the magnetic-assisted fan wheel based on the current control data, controls the intensity of the magnetic field by dynamically adjusting the output of the control device, matches differentiated working requirements, and obtains a magnetic field adjustment result;

[0020] The change tracking submodule records the real-time changes of the magnetic field, tracks the intensity and fluctuation of the magnetic field, checks the continuity and consistency of the data, and obtains the magnetic field change record according to the magnetic field adjustment result;

[0021] The parameter extraction submodule analyzes the magnetic field data of the fan wheel through the magnetic field change record, calculates the key intensity parameters of the magnetic field, including the average value and stability index, and obtains the magnetic field intensity parameters.

[0022] As a further solution of the present invention, the stability adjustment module includes:

[0023] The electromagnetic field optimization submodule adjusts the electromagnetic field characteristics of the fan wheel based on the magnetic field strength parameter, and obtains the adjusted electromagnetic field characteristics by matching the environmental requirements of the spinning bike operation through real-time monitoring of the electromagnetic field strength and distribution;

[0024] The deviation identification submodule uses the electromagnetic field characteristic adjustment result to identify and correct the deviation that does not match the normal mode, and obtains the deviation correction result by modifying the control parameters to match the predetermined operation standard;

[0025] The response efficiency adjustment submodule analyzes the dynamic response of the shared spinning bike under differentiated working conditions through the deviation correction result, optimizes the stability of the magnetic-assisted fan wheel by adjusting the response efficiency, and obtains the stability index.

[0026] As a further solution of the present invention, the superconducting material screening module comprises:

[0027] The performance measurement submodule performs performance analysis of the superconducting material of the magnetic-assisted fan wheel based on the stability index, evaluates the performance differences of various materials by measuring the magnetic field response characteristics and temperature stability of the materials, and obtains the material performance analysis results;

[0028] The temperature requirement identification submodule adopts the material performance analysis result and the support vector machine algorithm to identify the material matching the target critical temperature requirement, and performs material performance analysis and matching to obtain the critical temperature matching result;

[0029] The formula of the support vector machine algorithm is as follows:

[0030] ;

[0031] in, To calculate the matching degree of the material, is the Lagrange multiplier, is the class label of the data point, is the data point in the training data set, x is the new data point, T is the critical temperature of the material, is the thermal conductivity of the material, is the stress response coefficient, is the microstructure parameter of the material, b is the bias term, is the kernel function;

[0032] The optimal material selection submodule compares the performance indicators of differentiated materials through the critical temperature matching results, selects the material with the best performance and adaptability, and generates a list of selected superconducting materials.

[0033] As a further solution of the present invention, the coil design module includes:

[0034] The shape analysis submodule calculates the optimal shape of the coil required for the spinning bike based on the selected superconducting material list, identifies the coil shape that matches the power and efficiency requirements by simulating the magnetic field distribution and efficiency test of the differentiated shapes, and obtains the shape calculation result;

[0035] The size analysis submodule uses the shape calculation result to calculate the size of the spinning bike coil, verifies that the coil size matches the design specifications of the spinning bike through geometric optimization simulation, and obtains the size calculation result;

[0036] The arrangement and verification submodule adjusts the arrangement of the spinning bike coils through the size calculation results, performs physical assembly and simulation tests to verify the real-time performance and stability of the coil configuration, checks whether the design matches the expected working standards, and obtains the coil configuration plan.

[0037] As a further solution of the present invention, the control strategy module includes:

[0038] The current adjustment submodule formulates a current intensity and direction control strategy based on the coil configuration scheme, and obtains a current control adjustment result by adjusting the power output in real time, checking the current matching design scheme and various operating conditions;

[0039] The transmission analysis submodule adopts the current control adjustment result to perform stable transmission of the magnetic field, checks the uniform distribution of the magnetic field in the spinning bike by optimizing the magnetic field guide structure and optimizing the magnetic field stability measures, and obtains the magnetic field transmission effect;

[0040] The monitoring and analysis submodule monitors the current state and magnetic field effect through the magnetic field transmission effect, tracks the real-time data of the current and magnetic field of the magnetic-assisted fan wheel, evaluates the performance of the spinning bike, analyzes potential problems of spinning bike sharing, and obtains current control results.

[0041] A method for sharing a magnetically assisted fan wheel spinning bike, the method for sharing a magnetically assisted fan wheel spinning bike is performed based on the magnetically assisted fan wheel spinning bike sharing system, and comprises the following steps:

[0042] S1: Based on the magnetohydrodynamic model, the current intensity and frequency in the conductive fluid are adjusted to optimize the fluid dynamic environment around the magnetically assisted fan wheel and generate current control data;

[0043] S2: adjusting the magnetic field strength around the magnetic-assisted fan wheel according to the current control data, monitoring and recording the change of the magnetic field, and obtaining the magnetic field strength parameter;

[0044] S3: adjusting the electromagnetic field characteristics and correcting the deviation through the magnetic field strength parameter to optimize the dynamic response of the spinning bike and obtain a stability index;

[0045] S4: using the stability index, screening superconducting materials that match the target critical temperature and magnetic response requirements, analyzing and evaluating the performance of the superconducting materials, and generating a list of selected superconducting materials;

[0046] S5: Based on the selected superconducting material list, the optimal shape and size of the coil required for the spinning bike are calculated, and the arrangement and design verification are performed. By controlling the current, the stability of the magnetic field is evaluated to obtain the current control result.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by adjusting the intensity and frequency of the current in the conductive fluid, the fluid dynamic environment around the magnetic assisted fan wheel is optimized, which not only improves the energy efficiency of the system but also reduces energy consumption. By adjusting and controlling the magnetic field intensity in real time and adjusting the electromagnetic field characteristics, mechanical friction is effectively reduced and the dynamic response of the system is enhanced. Superconducting materials that match the target critical temperature and magnetic response requirements are selected to further optimize the overall design and enhance the power performance of the bicycle. The all-round optimization from the fluid dynamic environment to the material selection enables the bicycle to effectively improve the riding efficiency and reduce the maintenance cost without adding extra weight. By accurately controlling the current and magnetic field distribution, the movement path and speed of the bicycle can be accurately controlled. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 is a system flow chart of the present invention;

[0050] Figure 2 It is a schematic diagram of the system framework of the present invention;

[0051] Figure 3 This is a flow chart of the magnetic fluid dynamic control module of the present invention;

[0052] Figure 4 This is a flow chart of the magnetic field monitoring module of the present invention;

[0053] Figure 5 is a flow chart of the stability adjustment module of the present invention;

[0054] Figure 6 This is a flow chart of the superconducting material screening module of the present invention;

[0055] Figure 7 A flow chart of the coil design module of the present invention;

[0056] Figure 8 It is a flow chart of the control strategy module of the present invention;

[0057] Fig. 9 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0059] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0060] See also Figure 1 to Figure 2 The present invention provides a technical solution, a magnetic-assisted fan wheel spinning bicycle sharing system comprising:

[0061] The magnetic fluid dynamic control module is based on the magnetohydrodynamic model. It adjusts the intensity and frequency of the current in the conductive fluid through the current calculation model, adjusts the flow direction of the fluid, optimizes the fluid dynamic environment around the magnetic assisted fan wheel, and monitors the flow direction changes in real time to obtain current control data.

[0062] The magnetic field monitoring module uses current control data to adjust and control the intensity of the magnetic field around the magnetic-assisted fan wheel in real time, record the magnetic field changes, and obtain the magnetic field intensity parameters;

[0063] The stability adjustment module adjusts the electromagnetic field characteristics to match the environmental changes outside the spinning bike through the magnetic field strength parameters, and corrects the deviations that do not match the normal mode, optimizes the dynamic response of the spinning bike sharing, and obtains the stability index;

[0064] The superconducting material screening module identifies materials that match the target critical temperature and magnetic response requirements through stability indicators, selects the best superconducting materials by comparing the performance indicators of differentiated materials, and generates a list of selected superconducting materials;

[0065] The coil design module calculates the optimal shape and size of the coil required for the spinning bike based on the selected superconducting material list, adjusts the coil arrangement to achieve the optimal magnetic field efficiency and uniformity, and performs design verification to obtain the coil configuration plan;

[0066] The control strategy module formulates the current intensity and direction control strategy according to the coil configuration plan, performs stable transmission of the magnetic field, and monitors the current state and magnetic field effect to obtain the current control result.

[0067] The current control data include the peak intensity, valley intensity, average frequency and change trend of the current; the magnetic field strength parameters include the peak intensity, valley intensity, real-time volatility and stability index of the magnetic field; the stability indicators include the response time, recovery time, deviation rate and adjustment degree of the coil; the list of selected superconducting materials includes the critical temperature, magnetic flux density, anti-magnetic variation performance and thermal stability of the selected materials; the coil configuration plan includes the shape, size, arrangement and expected magnetic field coverage of the coil; the current control results include the stability, response speed and efficiency of the current.

[0068] See also Figure 2 , 3 , the magnetic fluid dynamic control module includes:

[0069] The current monitoring submodule monitors the current intensity in real time based on the magnetohydrodynamic model. It adjusts and controls the current to match the requirements under differentiated working conditions and performs frequency

[0070] The frequency regulation matches the operation requirements of the magnetic-assisted fan wheel and the execution process of generating the current parameter adjustment result is as follows;

[0071] The current monitoring submodule monitors the current intensity in real time based on the magnetohydrodynamic model to ensure that the current regulation and control can meet the requirements under differentiated working conditions. Especially for equipment equipped with magnetically assisted fan wheels, the current frequency needs to be accurately adjusted to match the operation requirements of the fan wheel. This includes real-time monitoring of current intensity and adjusting the current to optimize the performance and efficiency of the fan and reduce energy consumption. Through monitoring and adjustment, the current parameter adjustment result is generated, and the formula used is:

[0072] ;

[0073] in, is the adjusted current value, k is the coefficient adjusted according to the working conditions, V is the voltage, f is the frequency, and R is the resistance.

[0074] The fluid adjustment submodule uses the current parameter adjustment result to identify the optimal fluid flow pattern by calculating the fluid dynamics parameters, adjusts the flow field around the magnetic assisted fan wheel to optimize the fan efficiency, and obtains the fluid environment optimization result. The execution process is as follows;

[0075] The fluid adjustment submodule uses the current parameter adjustment results to identify the optimal fluid flow pattern by calculating the fluid dynamics parameters. It involves analyzing the flow characteristics of the surrounding flow field and adjusting the fluid environment to optimize the efficiency of the magnetically assisted fan wheel. By simulating different flow field configurations, the fluid flow pattern that best suits the current working conditions is determined, the overall fan efficiency is improved and energy consumption is reduced, and the fluid environment optimization result is obtained. The formula used is:

[0076] ;

[0077] in, is the hydrodynamic pressure difference, is the fluid density, v is the fluid velocity, is the drag coefficient and A is the fan wheel area.

[0078] The data output submodule records the environmental parameters around the magnetic-assisted fan wheel through the fluid environment optimization results, analyzes the magnetic-assisted fan wheel operation data to identify key flow characteristics, and obtains the execution process of the current control data as follows;

[0079] The data output submodule records the environmental parameters around the magnetically assisted fan wheel through the fluid environment optimization results, including analyzing the fan wheel operation data to identify key flow characteristics such as speed, pressure and temperature changes. It is not only used to monitor the performance of the fan wheel, but also can be used to further optimize the equipment design and operation strategy to obtain current control data. The formula used is:

[0080] ;

[0081] Among them, Q is the flow rate, A is the cross-sectional area, v is the flow velocity, is the efficiency coefficient.

[0082] See also Figure 2 , 4 , the magnetic field monitoring module includes:

[0083] The magnetic field control submodule adjusts the strength of the magnetic field around the magnetic-assisted fan wheel based on the current control data. By dynamically adjusting the output of the control device, the magnetic field strength is controlled to match the differentiated working requirements. The execution process of obtaining the magnetic field adjustment result is as follows;

[0084] The magnetic field control submodule adjusts the strength of the magnetic field around the magnetic-assisted fan wheel based on the current control data, and achieves precise magnetic field strength control by dynamically adjusting the output of the control device to meet differentiated work requirements. The adjustment process involves real-time monitoring of the magnetic field strength generated by the fan wheel, and dynamically adjusting the output power of the magnetic field generator according to the operating status of the equipment and external environmental conditions to ensure that the magnetic field strength is always in the best state to improve the efficiency and performance of the fan wheel, and obtain the magnetic field adjustment result, using the formula:

[0085] ;

[0086] in, is the adjusted magnetic field strength, k is the proportionality constant, I is the current strength through the fan wheel, and N is the number of turns of the field coil.

[0087] The change tracking submodule records the real-time changes of the magnetic field according to the magnetic field adjustment results, tracks the magnetic field strength and fluctuations, checks the continuity and consistency of the data, and obtains the execution process of the magnetic field change record as follows;

[0088] The change tracking submodule records and tracks the real-time changes of the magnetic field in the magnetic field adjustment results according to the magnetic field adjustment results. By monitoring the magnetic field strength and fluctuations, checking the continuity and consistency of the data, any abnormal magnetic field behavior that deviates from the preset conditions can be discovered in time. Real-time tracking ensures the accuracy of magnetic field control, which is crucial to maintaining the stability and efficiency of the overall equipment. The magnetic field change record is obtained using the formula:

[0089] ;

[0090] in, is the standard deviation of the magnetic field strength, is the magnetic field strength measured at the ith time, is the average value of the magnetic field strength, and n is the number of measurements.

[0091] The parameter extraction submodule analyzes the magnetic field data of the fan wheel through the magnetic field change records, and calculates the key intensity parameters of the magnetic field, including the average value and stability index. The execution process of obtaining the magnetic field intensity parameters is as follows;

[0092] The parameter extraction submodule analyzes the magnetic field data of the fan wheel through the magnetic field change record and calculates the key strength parameters of the magnetic field, such as the average value and stability index. It involves using statistical methods to extract and analyze the magnetic field data to identify key performance indicators and potential risk factors. Through analysis, detailed information about the magnetic field control effect can be provided, providing a basis for further adjustment and optimization, and obtaining the magnetic field strength parameters. The formula used is:

[0093] ;

[0094] in, is the average value of the magnetic field strength, is the magnetic field strength measured at the ith time, and n is the number of measurements.

[0095] See also Figure 2 , 5 , the stability adjustment module includes:

[0096] The electromagnetic field optimization submodule adjusts the electromagnetic field characteristics of the fan wheel based on the magnetic field strength parameters, and matches the environmental requirements of the spinning bike by real-time monitoring of the electromagnetic field strength and distribution. The execution process of the adjusted electromagnetic field characteristics is as follows;

[0097] The electromagnetic field optimization submodule adjusts the electromagnetic field characteristics of the fan wheel based on the magnetic field strength parameters, and ensures that the electromagnetic field characteristics meet the environmental requirements of the spinning bike by real-time monitoring of the electromagnetic field strength and distribution. During the adjustment process, the current state of the electromagnetic field is evaluated, and the output of the electromagnetic field generator is dynamically adjusted through the algorithm to optimize the distribution and strength of the electromagnetic field. This not only improves the performance of the equipment, but also ensures the comfort and safety of the user experience. The adjusted electromagnetic field characteristics are obtained using the formula:

[0098] ;

[0099] in, It represents the electromagnetic field strength after optimization, k is the adjustment coefficient, I is the current, N is the number of coil turns, and d is the distance between the coil and the fan wheel.

[0100] The deviation identification submodule uses the electromagnetic field characteristic adjustment result to identify and correct the deviation that does not match the normal mode. By modifying the control parameters and matching the predetermined operation standard, the execution process of obtaining the deviation correction result is as follows;

[0101] The deviation identification submodule uses the electromagnetic field characteristic adjustment results to identify and correct deviations that do not match the normal operating mode. By comparing the adjusted electromagnetic field data with the preset operating standards, the deviation can be accurately identified. Once the deviation is identified, the control parameters are automatically modified by the software to ensure that all operating parameters meet the predetermined standards. Real-time correction helps to improve the operating efficiency and reliability of the equipment and reduce maintenance costs. The deviation correction result is obtained using the formula:

[0102] ;

[0103] in, represents the total deviation, is the electromagnetic field strength of the ith measurement, is the standard electromagnetic field strength, and n is the number of measurements.

[0104] The response efficiency adjustment submodule analyzes the dynamic response of the shared spinning bike under differentiated working conditions through the deviation correction results, optimizes the stability of the magnetic-assisted fan wheel by adjusting the response efficiency, and the execution process of obtaining the stability index is as follows;

[0105] The response efficiency adjustment submodule analyzes the dynamic response of the spinning bike under different working conditions through the deviation correction results. By refining and optimizing the electromagnetic field control strategy, the response efficiency can be adjusted to optimize the performance and stability of the magnetic assisted fan wheel. This includes evaluating the impact of the electromagnetic field on the operation of the equipment and the potential impact on the user experience, improving the overall efficiency through fine control, and obtaining stability indicators. The formula used is:

[0106] ;

[0107] Where S is the overall efficiency of the spinning bike response, is the efficiency of the ith response, and m is the number of responses.

[0108] See also Figure 2 , 6 , the superconducting material screening module includes:

[0109] The performance measurement submodule performs performance analysis of the magnetically assisted fan wheel superconducting material based on the stability index. By measuring the magnetic field response characteristics and temperature stability of the material, the performance differences of various materials are evaluated. The execution process of obtaining the material performance analysis results is as follows;

[0110] The performance measurement submodule performs a detailed performance analysis of the superconducting material used in the magnetically assisted fan wheel based on the stability index. This includes measuring the material's response characteristics under different magnetic field conditions and its stability at various temperatures. Through measurement, the performance of different materials in actual applications is evaluated to identify materials that can meet the performance requirements of the equipment. Multiple testing steps are involved, including magnetic field strength response testing and temperature cycle testing, to ensure that the performance of each material can be accurately evaluated and the material performance analysis results are obtained. The formula used is:

[0111] ;

[0112] in, Indicates the comprehensive performance index of the material. is the reaction performance under the ith magnetic field condition, is the corresponding temperature stability score and q is the total number of test conditions.

[0113] The temperature requirement identification submodule uses the material performance analysis results and the support vector machine algorithm to identify the materials that match the target critical temperature requirements, and performs material performance analysis and matching to obtain the critical temperature matching results. The execution process is as follows;

[0114] The temperature requirement identification submodule uses the material performance analysis results and the support vector machine (SVM) algorithm to analyze the performance data of superconducting materials, especially focusing on the performance of the materials at critical temperatures. By establishing a prediction model, it is possible to identify the material that best meets the target critical temperature requirements. Not only is the model trained based on existing data, but it also involves verifying and adjusting new data to ensure the accuracy and practicality of the model and obtain critical temperature matching results.

[0115] The formula of the support vector machine algorithm is as follows:

[0116] ;

[0117] in, To calculate the matching degree of the material, is the Lagrange multiplier, is the class label of the data point, is the data point in the training data set, x is the new data point, is the critical temperature of the material, is the thermal conductivity of the material, is the stress response coefficient, is the microstructure parameter of the material, b is the bias term, is the kernel function.

[0118] The execution flow is as follows:

[0119] For each data point and new data point x, not only considering the basic characteristics, but also the critical temperature T, thermal conductivity , stress response coefficient and microstructural parameters , incorporated into the kernel function In the calculation of the kernel function, the parameters can more accurately evaluate the similarities or differences of different materials under specific conditions, using the Lagrange multiplier and the class labels of the data points , sum the weighted results and add the bias term b to improve the accuracy of the predicted critical temperature matching. The weight coefficient of each newly added parameter can be optimized on the training set by the cross-validation method to ensure the best classification performance.

[0120] The optimal material selection submodule compares the performance indicators of differentiated materials through critical temperature matching results, selects materials with optimal performance and adaptability, and generates a list of selected superconducting materials. The execution process is as follows;

[0121] The optimal material selection submodule compares the performance indicators of various materials through the critical temperature matching results, and selects the material with the best performance and adaptability. It involves a comprehensive evaluation of the material's magnetic field response characteristics, temperature stability, and cost-effectiveness to ensure that the selected material can provide the best performance in practical applications and generate a list of selected superconducting materials. The formula used is:

[0122] ;

[0123] in, is the score of the selected material, is the performance score of the ith material, is the corresponding critical temperature matching score, and is the weight coefficient.

[0124] See also Figure 2 , 7 , the coil design module includes:

[0125] The shape analysis submodule calculates the optimal shape of the coil required for the spinning bike based on the selected superconducting material list, and identifies the coil shape that matches the power and efficiency requirements by simulating the magnetic field distribution and efficiency test of differentiated shapes. The execution process of the shape calculation result is as follows;

[0126] The shape analysis submodule calculates the optimal shape of the superconducting coil required for the spinning bike based on the selected superconducting material list to meet the power and efficiency requirements. The magnetic field distribution and efficiency of coils of different shapes are analyzed through advanced simulation technology. The process includes establishing a parametric model of the coil shape, using finite element analysis (FEA) technology to simulate the magnetic field response under different shapes, and evaluating the performance of each shape through efficiency testing. The goal of optimization is to maximize the magnetic field strength and uniformity while maintaining high efficiency and low energy consumption, and obtain the shape calculation result using the formula:

[0127] ;

[0128] in, represents the efficiency score of the shape, B is the magnetic field strength, V is the volume, is the adjustment coefficient.

[0129] The size analysis submodule uses the shape calculation results to calculate the size of the spinning bike coil. Through geometric optimization simulation, it verifies that the coil size matches the design specifications of the spinning bike. The execution process of obtaining the size calculation results is as follows;

[0130] The size analysis submodule uses the shape calculation results to determine the optimal size of the spinning bike coil. Through geometric optimization simulation, it ensures that the coil size can perfectly match the design specifications of the spinning bike, considering not only the physical size of the coil, but also the spatial layout of the coil and compatibility with components. Through iterative design and simulation, the coil size that provides the best electromagnetic performance and the smallest space occupancy is found, and the size calculation result is obtained. The formula used is:

[0131] ;

[0132] in, represents the optimal matching degree of the size, D is the set of optional sizes, is the actual size parameter, is the ideal size parameter, is the size parameter Number of

[0133] The arrangement and verification submodule adjusts the arrangement of the spinning bike coils based on the size calculation results, performs physical assembly and simulation tests to verify the real-time performance and stability of the coil configuration, and checks whether the design matches the expected working standards. The execution process of obtaining the coil configuration solution is as follows;

[0134] The arrangement and verification submodule adjusts the arrangement of the spinning bike coils based on the size calculation results to ensure that the coil configuration can meet the expected performance and stability standards. Through physical assembly and simulation testing, the real-time performance of the coil configuration is verified and all designs meet the working standards. This includes evaluating the mutual influence between coils, optimizing the magnetic field effect and the overall stability of the device by adjusting the arrangement, and obtaining the coil configuration plan. The formula used is:

[0135] ;

[0136] in, represents the validation score of the configuration, is the weight of the jth parameter, is the measured parameter value, is the ideal parameter value, is the total number of parameters.

[0137] See also Figure 2 , 8 , the control strategy module includes:

[0138] The current adjustment submodule formulates the current intensity and direction control strategy based on the coil configuration scheme, adjusts the power output in real time, checks the current matching design scheme and various operating conditions, and obtains the current control adjustment result. The execution process is as follows;

[0139] The current adjustment submodule formulates and implements the current intensity and direction control strategy based on the coil configuration scheme to ensure that the current output perfectly matches the coil configuration scheme and the operating conditions of the spinning bike. Through advanced current regulation technology, the power output is adjusted in real time to optimize the flow of current to meet design requirements. The regulation process involves accurate measurement of the current, using a feedback control system to adjust the current to the ideal state, ensuring the uniformity and efficiency of the current in all operating areas, and obtaining the current control regulation result. The formula used is:

[0140] ;

[0141] in, is the adjusted current output, is the target current value, is the actual measured current value, and are the proportional and integral control gains respectively.

[0142] The transmission analysis submodule uses the current control adjustment result to perform stable transmission of the magnetic field. By optimizing the magnetic field guidance structure and optimizing the magnetic field stability measures, the uniform distribution of the magnetic field in the spinning bike is checked, and the execution process of obtaining the magnetic field transmission effect is as follows;

[0143] The transmission analysis submodule uses the current control adjustment results to perform stable transmission analysis on the magnetic field. It is responsible for optimizing the magnetic field guidance structure and implementing magnetic field stability measures to ensure that the magnetic field is evenly distributed in all parts of the spinning bike and improve the overall operating efficiency and safety. By calculating the distribution and intensity of the magnetic field, adjusting the magnetic field configuration in time, optimizing the overall magnetic field effect, and obtaining the magnetic field transmission effect, the formula used is:

[0144] ;

[0145] in, is the effective strength of the magnetic field, It's location is the magnetic field strength, and A is the total area considered.

[0146] The monitoring and analysis submodule monitors the current state and magnetic field effect through the magnetic field transmission effect, tracks the real-time data of the current and magnetic field of the magnetic-assisted fan wheel, evaluates the performance of the spinning bike, analyzes the potential problems of the spinning bike sharing, and obtains the current control results. The execution process is as follows;

[0147] The monitoring and analysis submodule monitors the current state and magnetic field effect through the magnetic field transmission effect, tracks and analyzes the real-time data of the current and magnetic field of the magnetic-assisted fan wheel during operation, and evaluates the overall performance of the spinning bike. By collecting and analyzing the current and magnetic field data, it is possible to identify and analyze potential problems encountered by the spinning bike sharing in operation, provide real-time performance feedback, and obtain current control results. The formula used is:

[0148] ;

[0149] in, is the performance score, and are the data points of current and magnetic field respectively, g is the total number of data points, is the adjustment coefficient.

[0150] See also Fig. 9 A magnetic-assisted fan wheel spinning bike sharing method is provided. The magnetic-assisted fan wheel spinning bike sharing method is performed based on the magnetic-assisted fan wheel spinning bike sharing system, and includes the following steps:

[0151] S1: Based on the magnetohydrodynamic model, the current intensity and frequency in the conductive fluid are adjusted to optimize the fluid dynamic environment around the magnetically assisted fan wheel and generate current control data;

[0152] S2: According to the current control data, the magnetic field strength around the magnetic-assisted fan wheel is adjusted, the change of the magnetic field is monitored and recorded, and the magnetic field strength parameters are obtained;

[0153] S3: By adjusting the electromagnetic field characteristics and correcting the deviation through the magnetic field strength parameters, the dynamic response of the spinning bike is optimized and the stability index is obtained;

[0154] S4: Using stability indicators, screen superconducting materials that match the target critical temperature and magnetic response requirements, analyze and evaluate the performance of superconducting materials, and generate a list of selected superconducting materials;

[0155] S5: Based on the list of selected superconducting materials, calculate the optimal shape and size of the coils required for the spinning bike, and perform arrangement and design verification. By controlling the current, evaluate the stability of the magnetic field and obtain the current control results.

[0156] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A magnetic-assisted fan wheel spinning bike sharing system, characterized in that: The system comprises: The magnetic fluid dynamic control module adjusts the intensity and frequency of the current in the conductive fluid based on the magnetohydrodynamic model, optimizes the fluid dynamic environment around the magnetic assisted fan wheel, and obtains current control data; The magnetic field monitoring module uses the current control data to adjust and control the intensity of the magnetic field around the magnetic-assisted fan wheel in real time, record the magnetic field changes, and obtain the magnetic field intensity parameters; The stability adjustment module adjusts the electromagnetic field characteristics through the magnetic field strength parameters, corrects the deviation that does not match the normal mode, optimizes the dynamic response of the shared spinning bike, and obtains the stability index; The superconducting material screening module identifies materials that match the target critical temperature and magnetic response requirements through the stability index, compares the performance indicators of the differentiated materials, selects the optimal superconducting material, and generates a list of selected superconducting materials; The coil design module calculates the optimal shape and size of the coil required for the spinning bike according to the selected superconducting material list, adjusts the coil arrangement and performs design verification to obtain a coil configuration plan; The control strategy module formulates a current intensity and direction control strategy according to the coil configuration scheme, performs stable transmission of the magnetic field, and monitors the current state and magnetic field effect to obtain a current control result; The current control data includes the peak intensity, valley intensity, average frequency and change trend of the current; the magnetic field strength parameters include the peak intensity, valley intensity, real-time volatility and stability index of the magnetic field; the stability indicators include the response time, recovery time, deviation rate and adjustment degree of the coil; the list of selected superconducting materials includes the critical temperature, magnetic flux density, anti-magnetic variation performance and thermal stability of the selected materials; the coil configuration plan includes the shape, size, arrangement and expected magnetic field coverage of the coil; the current control results include the stability, response speed and efficiency of the current.

2. The magnetic-assisted fan wheel spinning bike sharing system according to claim 1, characterized in that: The magnetic fluid dynamic control module includes: The current monitoring submodule performs real-time monitoring of current intensity based on the magnetohydrodynamic model. It adjusts and controls the current to match the requirements under differentiated working conditions, and performs frequency adjustment to match the operation requirements of the magnetic-assisted fan wheel to generate current parameter adjustment results. The fluid adjustment submodule adopts the current parameter adjustment result, identifies the optimal fluid flow pattern by calculating fluid dynamics parameters, adjusts the flow field around the magnetic-assisted fan wheel to optimize the fan efficiency, and obtains the fluid environment optimization result; The data output submodule records the environmental parameters around the magnetic-assisted fan wheel through the fluid environment optimization result, analyzes the operation data of the magnetic-assisted fan wheel to identify key flow characteristics, and obtains current control data.

3. The magnetic-assisted fan wheel spinning bike sharing system according to claim 1, characterized in that: The magnetic field monitoring module comprises: The magnetic field control submodule adjusts the intensity of the magnetic field around the magnetic-assisted fan wheel based on the current control data, controls the intensity of the magnetic field by dynamically adjusting the output of the control device, matches differentiated working requirements, and obtains a magnetic field adjustment result; The change tracking submodule records the real-time changes of the magnetic field, tracks the intensity and fluctuation of the magnetic field, checks the continuity and consistency of the data, and obtains the magnetic field change record according to the magnetic field adjustment result; The parameter extraction submodule analyzes the magnetic field data of the fan wheel through the magnetic field change record, calculates the key intensity parameters of the magnetic field, including the average value and stability index, and obtains the magnetic field intensity parameters.

4. The magnetic-assisted fan wheel spinning bike sharing system according to claim 1, characterized in that: The stability adjustment module comprises: The electromagnetic field optimization submodule adjusts the electromagnetic field characteristics of the fan wheel based on the magnetic field strength parameter, and obtains the adjusted electromagnetic field characteristics by matching the environmental requirements of the spinning bike operation through real-time monitoring of the electromagnetic field strength and distribution; The deviation identification submodule uses the electromagnetic field characteristic adjustment result to identify and correct the deviation that does not match the normal mode, and obtains the deviation correction result by modifying the control parameters to match the predetermined operation standard; The response efficiency adjustment submodule analyzes the dynamic response of the shared spinning bike under differentiated working conditions through the deviation correction result, optimizes the stability of the magnetic-assisted fan wheel by adjusting the response efficiency, and obtains the stability index.

5. The magnetic-assisted fan wheel spinning bike sharing system according to claim 1, characterized in that: The superconducting material screening module comprises: The performance measurement submodule performs performance analysis of the superconducting material of the magnetic-assisted fan wheel based on the stability index, evaluates the performance differences of various materials by measuring the magnetic field response characteristics and temperature stability of the materials, and obtains the material performance analysis results; The temperature requirement identification submodule adopts the material performance analysis result and the support vector machine algorithm to identify the material matching the target critical temperature requirement, and performs material performance analysis and matching to obtain the critical temperature matching result; The formula of the support vector machine algorithm is as follows: ； in, To calculate the matching degree of the material, is the Lagrange multiplier, is the class label of the data point, is the data point in the training data set, x is the new data point, T is the critical temperature of the material, is the thermal conductivity of the material, is the stress response coefficient, is the microstructure parameter of the material, b is the bias term, is the kernel function; The optimal material selection submodule compares the performance indicators of differentiated materials through the critical temperature matching results, selects the material with the best performance and adaptability, and generates a list of selected superconducting materials.

6. The magnetic-assisted fan wheel spinning bike sharing system according to claim 1, characterized in that: The coil design module includes: The shape analysis submodule calculates the optimal shape of the coil required for the spinning bike based on the selected superconducting material list, identifies the coil shape that matches the power and efficiency requirements by simulating the magnetic field distribution and efficiency test of the differentiated shapes, and obtains the shape calculation result; The size analysis submodule uses the shape calculation result to calculate the size of the spinning bike coil, verifies that the coil size matches the design specifications of the spinning bike through geometric optimization simulation, and obtains the size calculation result; The arrangement and verification submodule adjusts the arrangement of the spinning bike coils through the size calculation results, performs physical assembly and simulation tests to verify the real-time performance and stability of the coil configuration, checks whether the design matches the expected working standards, and obtains the coil configuration plan.

7. The magnetic-assisted fan wheel spinning bike sharing system according to claim 1, characterized in that: The control strategy module includes: The current adjustment submodule formulates a current intensity and direction control strategy based on the coil configuration scheme, and obtains a current control adjustment result by adjusting the power output in real time, checking the current matching design scheme and various operating conditions; The transmission analysis submodule adopts the current control adjustment result to perform stable transmission of the magnetic field, checks the uniform distribution of the magnetic field in the spinning bike by optimizing the magnetic field guide structure and optimizing the magnetic field stability measures, and obtains the magnetic field transmission effect; The monitoring and analysis submodule monitors the current state and magnetic field effect through the magnetic field transmission effect, tracks the real-time data of the current and magnetic field of the magnetic-assisted fan wheel, evaluates the performance of the spinning bike, analyzes potential problems of spinning bike sharing, and obtains current control results.

8. A method for sharing a spinning bike with magnetically assisted fan wheels, characterized in that: The magnetic-assisted fan wheel spinning bike sharing system according to any one of claims 1 to 7 comprises the following steps: Based on the magnetohydrodynamic model, the current intensity and frequency in the conductive fluid are adjusted to optimize the fluid dynamic environment around the magnetically assisted fan wheel and generate current control data; According to the current control data, the magnetic field strength around the magnetic-assisted fan wheel is adjusted, the change of the magnetic field is monitored and recorded, and the magnetic field strength parameters are obtained; By using the magnetic field strength parameter, the electromagnetic field characteristics are adjusted, the deviation is corrected, the dynamic response of the spinning bike is optimized, and the stability index is obtained; Using the stability index, screening superconducting materials that match the target critical temperature and magnetic response requirements, and analyzing and evaluating the performance of the superconducting materials to generate a list of selected superconducting materials; Based on the selected superconducting material list, the optimal shape and size of the coil required for the spinning bike are calculated, and the arrangement and design verification are carried out. By controlling the current, the stability of the magnetic field is evaluated and the current control result is obtained.

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