Gyromagnetic therapy equipment control method and system based on dynamic magnetic field monitoring

Abstract

The invention relates to the technical field of medical equipment control, in particular to a gyromagnetic therapy equipment control method and system based on dynamic magnetic field monitoring. If the preset control scheme of the gyromagnetic treatment equipment is marked as a regulation-free state, taking the preset control scheme as a final control scheme; if the preset control scheme of the gyromagnetic treatment equipment is marked as a state needing regulation and control, further analyzing the magnetic field intensity drift position node; if the gyromagnetic treatment equipment has a frequent magnetic field intensity drift position node in the pretest process, fault early warning information is generated; and if only the accidental magnetic field intensity drift position node exists in the pretest process of the gyromagnetic treatment equipment, correcting the preset control scheme to obtain a corrected control scheme. According to the method, the running state of the equipment can be monitored and analyzed, potential problems can be found and solved in time, and the accuracy and effectiveness of gyromagnetic therapy can be ensured through continuous optimization and adjustment.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment control, and in particular to a method and system for controlling gyromagnetic treatment equipment based on dynamic magnetic field monitoring. Background Art

[0002] Gyromagnetic therapy devices utilize alternating combined magnetic fields and magnetic coupling effects to introduce fluctuating magnetic field energy into the lesion area, generating an induced electromotive force deep within the lesion area and forming a "toroidal electric field," also known as a "curl" electric field in physics, thereby achieving therapeutic purposes. However, the magnetic field strength and distribution of gyromagnetic therapy devices are affected by various factors, such as the performance of the device itself and the ambient temperature, resulting in deviations between the actual magnetic field strength and the preset value, thereby affecting the therapeutic effect. To ensure the safety and effectiveness of gyromagnetic therapy, it is necessary to dynamically monitor the magnetic field of the gyromagnetic therapy device and adjust the device control scheme based on the monitoring results. Existing technologies mainly rely on static magnetic field monitoring, which cannot detect dynamic changes in magnetic field strength in a timely manner and cannot meet the actual needs of gyromagnetic therapy. Therefore, there is an urgent need for a gyromagnetic therapy device control method based on dynamic magnetic field monitoring that can monitor the magnetic field strength in real time and dynamically adjust the device control scheme based on the monitoring results to ensure the safety and effectiveness of treatment. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a method and system for controlling gyromagnetic therapy equipment based on dynamic magnetic field monitoring.

[0004] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: The first aspect of the present invention discloses a method for controlling a gyromagnetic therapy device based on dynamic magnetic field monitoring, comprising the following steps: Obtaining a preset control scheme for the gyromagnetic therapy device, obtaining preset operating parameters of the gyromagnetic therapy device at each time stamp according to the preset control scheme, and controlling the operation of the gyromagnetic therapy device through a BMS control system based on the preset operating parameters at each time stamp to perform a pre-test on the gyromagnetic therapy device; During the pre-test process, the actual magnetic strength of each preset position node in the target area at each time stamp is obtained, and the actual magnetic strength distribution map of the target area at each time stamp is constructed based on the actual magnetic strength of each preset position node; Obtaining a preset treatment plan for a target patient, and determining a preset magnetic intensity distribution map of the target area at each time stamp based on the preset treatment plan; evaluating and analyzing a preset control plan of the gyromagnetic therapy device based on the preset magnetic intensity distribution map of the target area at each time stamp and the actual magnetic intensity distribution map; If the preset control scheme of the gyromagnetic therapy device is marked as a state requiring no regulation, the preset control scheme is used as the final control scheme, and the final control scheme is output to the preset terminal; If the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation, further analysis is performed on the magnetic field intensity drift position node to obtain a frequent magnetic field intensity drift position node or an occasional magnetic field intensity drift position node; If the gyromagnetic therapy device has a frequent magnetic field intensity drift position node during the pre-test process, a fault warning message is generated and sent to a preset terminal, and the use of the gyromagnetic therapy device is suspended; If there are only occasional magnetic field intensity drift position nodes in the gyromagnetic therapy device during the pre-test process, the preset control scheme is corrected to obtain a corrected control scheme, the corrected control scheme is used as the final control scheme, and the final control scheme is output to the preset terminal.

[0005] Preferably, the preset control scheme of the gyromagnetic therapy device is evaluated and analyzed based on the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at each time stamp, specifically: Calculate the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at each time stamp; Comparing the mutual information value between the preset magnetic intensity distribution map of the target area at each time stamp and the actual magnetic intensity distribution map with a preset threshold; If the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at a certain timestamp is greater than a preset threshold, the magnetic field intensity parameter of the target area at the timestamp is marked as normal, and the timestamp is marked as a normal timestamp of magnetic field intensity parameter; If the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at a certain timestamp is not greater than a preset threshold, the magnetic field intensity parameter of the target area at the timestamp is marked as a drift state, and the timestamp is marked as a magnetic field intensity parameter drift timestamp; This process is repeated until all magnetic field strength parameters at each time stamp are analyzed. The total number of time stamps at which the magnetic field strength parameters are marked as drifting and the total number of time stamps at which the magnetic field strength parameters are marked as normal are counted. The total number of timestamps in which the magnetic field strength parameter is marked as drifting is compared with the total number of timestamps in which the magnetic field strength parameter is marked as normal, to obtain the drift amplitude of the magnetic field strength parameter of the gyromagnetic therapy device during the pre-test process; If the drift amplitude of the magnetic field strength parameter is greater than the preset amplitude threshold, the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation; if the drift amplitude of the magnetic field strength parameter is not greater than the preset amplitude threshold, the preset control scheme of the gyromagnetic therapy device is marked as a state requiring no regulation.

[0006] Preferably, if the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation, the magnetic field intensity drift position node is further analyzed to obtain a frequent magnetic field intensity drift position node or an occasional magnetic field intensity drift position node, specifically: If the preset control scheme of the gyromagnetic therapy device is marked as requiring regulation, a preset magnetic intensity distribution diagram and an actual magnetic intensity distribution diagram corresponding to the drift timestamps of each magnetic field intensity parameter are obtained; Performing Fourier transform processing on the preset magnetic intensity distribution map and the actual magnetic intensity distribution map corresponding to each magnetic field intensity parameter drift time stamp to obtain a frequency spectrum matrix of the preset magnetic intensity distribution map corresponding to each magnetic field intensity parameter drift time stamp, defined as a first frequency spectrum matrix; and obtaining a frequency spectrum matrix of the actual magnetic intensity distribution map corresponding to each magnetic field intensity parameter drift time stamp, defined as a second frequency spectrum matrix; Comparing and analyzing the first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift time stamp, obtaining the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift time stamp; Performing counting and statistical analysis on the magnetic field intensity drift position nodes of the target area in the drift timestamps of each magnetic field intensity parameter to obtain the occurrence frequency value of each magnetic field intensity drift position node; If the occurrence frequency value of a certain magnetic field intensity drift position node is greater than a preset frequency value, the magnetic field intensity drift position node is defined as a frequent magnetic field intensity drift position node; If the occurrence frequency value of a certain magnetic field strength drift position node is not greater than a preset frequency value, the magnetic field strength drift position node is defined as an occasional magnetic field strength drift position node.

[0007] Preferably, the first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift time stamp are compared and analyzed to obtain the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift time stamp, specifically: Obtaining a first spectrum matrix and a second spectrum matrix of drift timestamps of each magnetic field intensity parameter; Calculating the Euclidean distance between the spectrum values ​​at the same matrix position of the first spectrum matrix and the second spectrum matrix of the drift time stamp of each magnetic field intensity parameter to obtain a plurality of Euclidean distance values; Constructing a distance matrix according to the calculated Euclidean distance values, and traversing the elements of the distance matrix; If an element of the distance matrix is ​​a non-zero element, the position node corresponding to the non-zero element in the actual magnetic intensity distribution map is marked as a magnetic field intensity drift position node; If an element of the distance matrix is ​​a zero element, the position node corresponding to the zero element in the actual magnetic intensity distribution map is marked as a normal magnetic field intensity position node; Repeat the above steps, compare and analyze the first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift time stamp one by one, and after the analysis is completed, obtain the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift time stamp.

[0008] Preferably, if the gyromagnetic therapy device only has occasional magnetic field intensity drift position nodes during the pre-test process, the preset control scheme is corrected to obtain a corrected control scheme, specifically: Obtaining device construction information of the gyromagnetic therapy device, obtaining each magnetic flux sub-regulation module in the gyromagnetic therapy device according to the device construction information, and obtaining the magnetic flux regulation area corresponding to each magnetic flux sub-regulation module; Constructing a knowledge graph, and segmenting a plurality of spatial nodes in the knowledge graph based on each flux sub-regulation module; Add a flux adjustment region index label to each flux sub-adjustment module based on the flux adjustment region corresponding to each flux sub-adjustment module; Assign the index label of each flux regulation area to the corresponding spatial node of the knowledge graph to obtain a knowledge graph with flux regulation area information.

[0009] The following steps are also included: If the gyromagnetic therapy device only has an occasional magnetic field intensity drift position node during the pre-test process, then obtaining the occasional magnetic field intensity drift position node; Importing the occasional magnetic field intensity drift position node into the knowledge graph with the magnetic flux regulation area information for pairing, obtaining the magnetic flux sub-regulation module corresponding to the occasional magnetic field intensity drift position node, and defining it as the magnetic flux sub-regulation module to be regulated; Obtaining a device operation log of the gyromagnetic therapy device during pre-testing, and obtaining historical operating parameters of the magnetic flux regulating module to be regulated at each time stamp during the pre-testing process based on the device operation log; Obtaining a preset control scheme for the gyromagnetic therapy device, and obtaining preset operating parameters of the magnetic flux regulating module to be regulated at each time stamp during the pre-test process according to the preset control scheme; Calculating the working parameter deviation value between the historical working parameter of each timestamp and the corresponding preset working parameter, and comparing the working parameter deviation value between the historical working parameter of each timestamp and the corresponding preset working parameter with a preset deviation value threshold; Marking the preset working parameters of the timestamp corresponding to the working parameter deviation value greater than the preset deviation value threshold, and correcting the preset working parameters of the marked timestamp based on the corresponding working parameter deviation value; Similarly, after all preset working parameters marked with time stamps are corrected, a corrected control scheme is obtained.

[0010] The operating parameters include magnetic flux, voltage, current, frequency, temperature and response time.

[0011] The second aspect of the present invention discloses a gyromagnetic therapy equipment control system based on dynamic magnetic field monitoring. The gyromagnetic therapy equipment control system includes a memory and a processor. The memory stores a gyromagnetic therapy equipment control method program. When the gyromagnetic therapy equipment control method program is executed by the processor, any one of the steps of the gyromagnetic therapy equipment control method is implemented.

[0012] The third aspect of the present invention discloses a computer-readable storage medium, which includes a gyromagnetic therapy device control method program. When the gyromagnetic therapy device control method program is executed by a processor, any one of the steps of the gyromagnetic therapy device control method is implemented.

[0013] The present invention solves the technical defects existing in the background technology and has the following beneficial effects: evaluating and analyzing the preset control scheme of the gyromagnetic therapy device based on the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at each time stamp; if the preset control scheme of the gyromagnetic therapy device is marked as a state that does not require regulation, the preset control scheme is used as the final control scheme, and the final control scheme is output to the preset terminal; if the preset control scheme of the gyromagnetic therapy device is marked as a state that requires regulation, further analyzing the magnetic field intensity drift position node to obtain a frequent magnetic field intensity drift position node or an occasional magnetic field intensity drift position node; if the gyromagnetic therapy device has a frequent magnetic field intensity drift position node during the pre-test process, generating a fault warning information, sending the fault warning information to the preset terminal, and suspending the use of the gyromagnetic therapy device; if the gyromagnetic therapy device only has an occasional magnetic field intensity drift position node during the pre-test process, correcting the preset control scheme to obtain a corrected control scheme, using the corrected control scheme as the final control scheme, and outputting the final control scheme to the preset terminal. The present invention can not only monitor and analyze the operating status of the equipment, timely discover and solve potential problems, but also ensure the accuracy and effectiveness of gyromagnetic therapy through continuous optimization and adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying any creative work, they can also obtain drawings of other embodiments based on these drawings.

[0015] Figure 1 This is a flow chart of the overall method of controlling the gyromagnetic therapy device; Figure 2 This is a partial flow chart of the control method of the gyromagnetic therapy device; Figure 3 This is the system block diagram of the control system of this gyromagnetic therapy equipment. DETAILED DESCRIPTION

[0016] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[0017] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0018] The first aspect of the present invention discloses a method for controlling a gyromagnetic treatment device based on dynamic magnetic field monitoring, such as Figure 1 As shown, the following steps are included: S102: Obtaining a preset control scheme for the gyromagnetic therapy device, obtaining preset operating parameters of the gyromagnetic therapy device at each time stamp according to the preset control scheme, and controlling the operation of the gyromagnetic therapy device through a BMS control system based on the preset operating parameters at each time stamp to perform a pre-test on the gyromagnetic therapy device; The preset control scheme for gyromagnetic therapy equipment refers to a set of control instructions and parameters pre-set by professional technicians or the system before the equipment begins operation. This scheme includes multiple key parameters for the operation of the equipment, such as the intensity, frequency, waveform, duration, cycle of the magnetic field, and the selection of the treatment area. These parameters are set based on clinical research, treatment guidelines, or the treatment needs of specific patients, and are intended to ensure that the gyromagnetic therapy equipment can operate according to the predetermined mode and standards, thereby achieving effective treatment results. S104: During the pre-test process, the actual magnetic strength of each preset position node in the target area at each time stamp is obtained, and a distribution map of the actual magnetic strength of the target area at each time stamp is constructed based on the actual magnetic strength of each preset position node; S106: Obtaining a preset treatment plan for the target patient, and determining a preset magnetic intensity distribution map of the target area at each time stamp based on the preset treatment plan; evaluating and analyzing a preset control plan of the gyromagnetic therapy device based on the preset magnetic intensity distribution map of the target area at each time stamp and the actual magnetic intensity distribution map; The preset treatment plan for a target patient refers to a personalized treatment plan developed by medical professionals (such as doctors, physical therapists, rehabilitation experts, etc.) for a specific patient based on their condition, medical history, physical condition, treatment needs and other factors; S108: If the preset control scheme of the gyromagnetic therapy device is marked as a state requiring no regulation, the preset control scheme is used as a final control scheme, and the final control scheme is output to a preset terminal; S110: If the preset control scheme of the gyromagnetic therapy device is marked as requiring regulation, further analyzing the magnetic field intensity drift position node to obtain a frequent magnetic field intensity drift position node or an occasional magnetic field intensity drift position node; S112: If the gyromagnetic therapy device has a frequent magnetic field intensity drift position node during the pre-test process, a fault warning message is generated, the fault warning message is sent to a preset terminal, and the use of the gyromagnetic therapy device is suspended; S114: If there are only occasional magnetic field intensity drift position nodes in the gyromagnetic therapy device during the pre-test process, the preset control scheme is corrected to obtain a corrected control scheme, the corrected control scheme is used as the final control scheme, and the final control scheme is output to the preset terminal.

[0019] The operating parameters include magnetic flux, voltage, current, frequency, temperature and response time.

[0020] It should be noted that the preset control scheme for the gyromagnetic therapy device and its preset operating parameters at different time points are first obtained. These parameters are then used to initiate a pre-test of the device through the BMS control system to verify that the device's initial operating status meets expectations. Subsequently, during the pre-test phase, dynamic monitoring is used to collect and analyze the actual magnetic intensity at each preset location node in the target area, generating a distribution map of the actual magnetic intensity for comparison with the target magnetic intensity distribution map in the preset treatment plan. Next, based on the comparison results, the preset control scheme is evaluated and analyzed to determine whether the device's operating status requires adjustment. If the preset control scheme does not require adjustment, it is directly output as the final control scheme for subsequent treatment. Conversely, if magnetic field intensity drift is detected, further analysis is performed to determine whether it is a frequent or infrequent occurrence. In the case of frequent magnetic field intensity drift, the system generates a fault warning message, notifying the operator to suspend device use to avoid potential risks. In the case of infrequent drift, the system modifies the preset control scheme to adapt to the device's actual operating conditions and ensure the stability of the treatment process. Finally, the modified control scheme is output as the optimized treatment strategy to the preset terminal. This method based on dynamic magnetic field monitoring can not only monitor and analyze the operating status of the equipment and promptly discover and resolve potential problems, but also ensure the accuracy and effectiveness of gyromagnetic therapy through continuous optimization and adjustment.

[0021] Preferably, the preset control scheme of the gyromagnetic therapy device is evaluated and analyzed based on the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at each time stamp, specifically: Calculate the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at each time stamp; Comparing the mutual information value between the preset magnetic intensity distribution map of the target area at each time stamp and the actual magnetic intensity distribution map with a preset threshold; If the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at a certain timestamp is greater than a preset threshold, the magnetic field intensity parameter of the target area at the timestamp is marked as normal, and the timestamp is marked as a normal timestamp of magnetic field intensity parameter; If the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at a certain timestamp is not greater than a preset threshold, the magnetic field intensity parameter of the target area at the timestamp is marked as a drift state, and the timestamp is marked as a magnetic field intensity parameter drift timestamp; This process is repeated until all magnetic field strength parameters at each time stamp are analyzed. The total number of time stamps at which the magnetic field strength parameters are marked as drifting and the total number of time stamps at which the magnetic field strength parameters are marked as normal are counted. The total number of timestamps in which the magnetic field strength parameter is marked as drifting is compared with the total number of timestamps in which the magnetic field strength parameter is marked as normal, to obtain the drift amplitude of the magnetic field strength parameter of the gyromagnetic therapy device during the pre-test process; If the drift amplitude of the magnetic field strength parameter is greater than the preset amplitude threshold, the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation; if the drift amplitude of the magnetic field strength parameter is not greater than the preset amplitude threshold, the preset control scheme of the gyromagnetic therapy device is marked as a state requiring no regulation.

[0022] It should be noted that the difference between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map at each time point (i.e., timestamp) is quantified by calculating the mutual information value between the two. If this value is greater than a preset threshold, the device is operating normally at that time point, and the magnetic field strength parameters are within the normal range. This state is marked as "normal," and the corresponding timestamp is labeled "normal magnetic field strength parameter timestamp." Conversely, if the mutual information value is less than the threshold, it indicates that the magnetic field strength parameters have deviated from the preset scheme. In this case, the magnetic field strength parameters are marked as "drifting," and the corresponding timestamp is also labeled "magnetic field strength parameter drift timestamp." By analyzing all timestamps, the total number of timestamps with drifting magnetic field strength parameters and the total number of timestamps with normal magnetic field strength parameters are counted. The ratio of these two numbers is then calculated to determine the drift amplitude of the magnetic field strength parameters, i.e., the "magnetic field strength parameter drift amplitude." If this drift amplitude exceeds the preset threshold, it indicates that the device experienced frequent magnetic field strength deviations during the pre-test process, and the preset control scheme is marked as "needing control state." Conversely, if the drift amplitude is no greater than the threshold, the device is operating in a stable state, and the preset control scheme is marked as "no control required." This method helps to proactively identify and resolve potential operational issues with gyromagnetic therapy equipment, ensuring the safety and effectiveness of the treatment process. It also provides a foundation for equipment maintenance and optimization.

[0023] Preferably, if the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation, the magnetic field intensity drift position node is further analyzed to obtain a frequent magnetic field intensity drift position node or an occasional magnetic field intensity drift position node, such as Figure 2 As shown, specifically: S202: If the preset control scheme of the gyromagnetic therapy device is marked as requiring regulation, obtaining a preset magnetic intensity distribution map and an actual magnetic intensity distribution map corresponding to the drift timestamps of each magnetic field intensity parameter; S204: performing Fourier transform processing on the preset magnetic intensity distribution map and the actual magnetic intensity distribution map corresponding to each magnetic field intensity parameter drift time stamp, to obtain a frequency spectrum matrix of the preset magnetic intensity distribution map corresponding to each magnetic field intensity parameter drift time stamp, defined as a first frequency spectrum matrix; and obtaining a frequency spectrum matrix of the actual magnetic intensity distribution map corresponding to each magnetic field intensity parameter drift time stamp, defined as a second frequency spectrum matrix; S206: Comparing and analyzing the first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift time stamp to obtain the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift time stamp; S208: performing counting and statistical analysis on the magnetic field intensity drift position nodes of the target area in the drift timestamps of each magnetic field intensity parameter to obtain an occurrence frequency value of each magnetic field intensity drift position node; S210: If the occurrence frequency value of a certain magnetic field intensity drift position node is greater than a preset frequency value, defining the magnetic field intensity drift position node as a frequent magnetic field intensity drift position node; S212: If the occurrence frequency value of a certain magnetic field strength drift position node is not greater than a preset frequency value, the magnetic field strength drift position node is defined as an occasional magnetic field strength drift position node.

[0024] It should be noted that when the device's preset control scheme is marked as requiring control, the system collects the preset magnetic intensity distribution maps and actual magnetic intensity distribution maps corresponding to all magnetic field intensity drift timestamps. These distribution maps are then processed using a Fourier transform, converting spatial information into frequency domain information. This yields a spectrum matrix of the preset and actual magnetic intensity distribution maps at each timestamp, namely the first spectrum matrix and the second spectrum matrix. By comparing and analyzing these two sets of spectrum matrices, it is possible to locate the timestamps and locations where abnormal magnetic field intensity drift has occurred. Furthermore, the frequency of occurrence of these drifting location nodes is statistically analyzed, namely, the number of times each location node appears in the magnetic field intensity drift timestamp. If the frequency value of a location node exceeds a preset frequency threshold, it is marked as a location node with frequent magnetic field intensity drift; otherwise, it is marked as a location node with occasional magnetic field intensity drift. This method can accurately identify key locations where the magnetic field strength is unstable, so that the equipment can be adjusted or improved in a targeted manner to reduce or eliminate the magnetic field strength drift at these locations and improve the overall stability of the gyromagnetic therapy equipment.

[0025] Preferably, the first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift time stamp are compared and analyzed to obtain the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift time stamp, specifically: Obtaining a first spectrum matrix and a second spectrum matrix of drift timestamps of each magnetic field intensity parameter; Calculating the Euclidean distance between the spectrum values ​​at the same matrix position of the first spectrum matrix and the second spectrum matrix of the drift time stamp of each magnetic field intensity parameter to obtain a plurality of Euclidean distance values; Constructing a distance matrix according to the calculated Euclidean distance values, and traversing the elements of the distance matrix; If an element of the distance matrix is ​​a non-zero element, the position node corresponding to the non-zero element in the actual magnetic intensity distribution map is marked as a magnetic field intensity drift position node; If an element of the distance matrix is ​​a zero element, the position node corresponding to the zero element in the actual magnetic intensity distribution map is marked as a normal magnetic field intensity position node; Repeat the above steps, compare and analyze the first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift time stamp one by one, and after the analysis is completed, obtain the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift time stamp.

[0026] By comparing and analyzing the spectral values ​​at the same locations in the preset magnetic intensity distribution map (first spectral matrix) and the actual magnetic intensity distribution map (second spectral matrix), specific locations experiencing abnormal magnetic field intensity changes can be identified. Specifically, the first and second spectral matrices corresponding to all magnetic field intensity drift timestamps are obtained. Next, the Euclidean distances between the spectral values ​​at the same locations in these two matrices are calculated, resulting in a series of Euclidean distance values. These Euclidean distance values ​​form a distance matrix. This distance matrix is ​​then traversed. If an element in the matrix is ​​non-zero, it indicates that the magnetic intensity distribution at that location differs between the two time points, meaning that the location is a node experiencing magnetic field intensity drift. Conversely, if an element in the matrix is ​​zero, it indicates that the magnetic intensity distribution at that location is consistent between the two time points, meaning that the location is experiencing normal magnetic field intensity. By repeating this comparative analysis process for all magnetic field intensity drift timestamps, all locations within the target area experiencing magnetic field intensity drift can be identified. This method helps to accurately identify key locations where magnetic field strength is unstable, providing data support for equipment regulation, optimization, and maintenance, thereby improving the stability of gyromagnetic therapy equipment.

[0027] Preferably, if the gyromagnetic therapy device only has occasional magnetic field intensity drift position nodes during the pre-test process, the preset control scheme is corrected to obtain a corrected control scheme, specifically: Obtaining device construction information of the gyromagnetic therapy device, obtaining each magnetic flux sub-regulation module in the gyromagnetic therapy device according to the device construction information, and obtaining the magnetic flux regulation area corresponding to each magnetic flux sub-regulation module; Constructing a knowledge graph, and segmenting a plurality of spatial nodes in the knowledge graph based on each flux sub-regulation module; Add a flux adjustment region index label to each flux sub-adjustment module based on the flux adjustment region corresponding to each flux sub-adjustment module; Assign the index label of each flux regulation area to the corresponding spatial node of the knowledge graph to obtain a knowledge graph with flux regulation area information.

[0028] The following steps are also included: If the gyromagnetic therapy device only has an occasional magnetic field intensity drift position node during the pre-test process, then obtaining the occasional magnetic field intensity drift position node; Importing the occasional magnetic field intensity drift position node into the knowledge graph with the magnetic flux regulation area information for pairing, obtaining the magnetic flux sub-regulation module corresponding to the occasional magnetic field intensity drift position node, and defining it as the magnetic flux sub-regulation module to be regulated; Obtaining a device operation log of the gyromagnetic therapy device during pre-testing, and obtaining historical operating parameters of the magnetic flux regulating module to be regulated at each time stamp during the pre-testing process based on the device operation log; Obtaining a preset control scheme for the gyromagnetic therapy device, and obtaining preset operating parameters of the magnetic flux regulating module to be regulated at each time stamp during the pre-test process according to the preset control scheme; Calculating the working parameter deviation value between the historical working parameter of each timestamp and the corresponding preset working parameter, and comparing the working parameter deviation value between the historical working parameter of each timestamp and the corresponding preset working parameter with a preset deviation value threshold; Marking the preset working parameters of the timestamp corresponding to the working parameter deviation value greater than the preset deviation value threshold, and correcting the preset working parameters of the marked timestamp based on the corresponding working parameter deviation value; Similarly, after all preset working parameters marked with time stamps are corrected, a corrected control scheme is obtained.

[0029] It should be noted that by obtaining device configuration information, each flux control module and its corresponding flux control region in the device are identified, and a knowledge graph containing this information is constructed. This step helps clarify the scope and characteristics of each control module. Next, nodes at locations with occasional magnetic field intensity drift are paired with flux control regions in the knowledge graph to determine which flux control modules may affect the magnetic field intensity at these locations. These are defined as the flux control modules that require control. Next, the device's operation logs during the pre-test period are collected, and the historical operating parameters of the modules requiring control at different time points are extracted and compared with the corresponding preset operating parameters in the preset control scheme. By calculating the operating parameter deviation, the difference between the actual operating state and the preset state can be quantified. Next, the time points at which the operating parameter deviation exceeds a preset threshold are marked, and the preset operating parameters are corrected based on these deviations to adjust the operating state of the flux control module and reduce magnetic field intensity drift. Finally, this correction process is repeated until the preset operating parameters at all time points are optimized, forming a corrected control scheme. In this way, the magnetic field intensity drift of the gyromagnetic therapy device during actual operation can be effectively reduced, and the stability of the device during actual use can be improved.

[0030] In addition, the method further comprises the following steps: Obtaining a device operation log of the gyromagnetic therapy device during its historical operation, and obtaining device operation data before and during each fault event of the gyromagnetic therapy device based on the device operation log; The equipment operation data before each fault event occurs is defined as pre-fault characteristic data, and the equipment operation data when each fault event occurs is defined as fault characteristic data, thereby obtaining the pre-fault characteristic data and fault characteristic data of each fault event; A graph neural network is introduced, where the pre-fault feature data of each fault event is used as a node, and the fault feature data of each fault event is used as a boundary. A topological structure graph is constructed based on each node and each boundary. Construct a blank matrix, traverse each edge and each node of the topological structure graph, if a node is connected to a certain edge, fill in 1 in the blank matrix; if a node is not connected to a certain edge, fill in 1 in the blank matrix; This process is repeated until the traversal is completed and an association matrix is ​​generated. A prediction model is constructed based on a deep learning network, and the association matrix is ​​imported into the prediction model for coding learning. After the model parameters meet the preset requirements, a fault prediction model is output. If there is a frequent magnetic field intensity drift position node in the gyromagnetic therapy device during the pre-test process, the frequent magnetic field intensity drift position node is imported into the knowledge graph with the magnetic flux adjustment area information for pairing, and the magnetic flux sub-adjustment module corresponding to the frequent magnetic field intensity drift position node is obtained, and defined as the second magnetic flux sub-adjustment module to be regulated; Obtaining a device operation log of the gyromagnetic therapy device during pre-testing, and obtaining historical operating parameters of the second magnetic flux sub-regulation module requiring regulation at each time stamp during the pre-testing process based on the device operation log; The historical working parameters of each time stamp of the second magnetic flux sub-regulation module that needs to be regulated during the pre-test process are imported into the fault prediction model for prediction, the fault type of the second magnetic flux sub-regulation module that needs to be regulated is obtained, and a fault prediction report is generated according to the fault type of the second magnetic flux sub-regulation module that needs to be regulated, and the fault prediction report is sent to the preset terminal.

[0031] It is important to note that the operation logs of the gyromagnetic therapy device are obtained to extract device operating data before and after the failure event. The pre-fault data is considered "pre-fault feature data," while the data at the time of the failure is called "fault feature data." Analysis of this data helps the system understand the patterns and characteristics of the failure. Next, a graph neural network (GNN) is introduced to construct a topological graph, with the pre-fault feature data as nodes and the fault feature data as edges, forming a network structure. This step aims to capture the correlations between faults and the changing patterns of the device's operating status. Next, a blank matrix is ​​constructed. Each node and edge in the topological graph is traversed, and the corresponding values ​​in the matrix are filled in based on their connectivity (usually 1 indicates connectivity and 0 indicates disconnection). The resulting correlation matrix reflects the complex relationship between the device's operating status and the failure. Based on this correlation matrix, a deep learning prediction model is constructed and trained until the model parameters meet the preset requirements. After training, this model can predict the device's operating status, aiming to identify potential problems before failures occur. If, during the pre-test process, it is discovered that certain location nodes (i.e., magnetic field intensity drift location nodes) frequently experience drift in magnetic field intensity, the system will pair these nodes with a knowledge graph containing information about the magnetic flux regulation area to identify the magnetic flux sub-regulation module associated with these faults, defining it as the "second magnetic flux sub-regulation module that needs to be regulated." Furthermore, the system obtains the historical operating parameters of the "second magnetic flux sub-regulation module that needs to be regulated" during the pre-test process, and uses a fault prediction model to perform predictive analysis on these parameters to derive the type of fault. Finally, a detailed fault prediction report is generated based on the prediction results and sent to a preset terminal so that relevant personnel can take appropriate preventive measures or maintenance actions. In general, through deep learning and graph neural network technology, real-time monitoring of the operating status of gyromagnetic therapy equipment and fault prediction are achieved, effectively improving the reliability and maintenance efficiency of the equipment.

[0032] In addition, the method further comprises the following steps: Obtaining a device operation log of the gyromagnetic therapy device during a pre-test, and obtaining a magnetic flux adjustment response speed of the gyromagnetic therapy device at each time stamp during the pre-test based on the device operation log; Introducing a polynomial curve fitting algorithm, performing fitting processing on the magnetic flux adjustment response speed of the gyromagnetic therapy device at each time stamp during the pre-test based on the polynomial curve fitting algorithm, and obtaining a fitting curve of the magnetic flux adjustment response speed of the gyromagnetic therapy device at each time stamp during the pre-test; Calculating a slope value of the fitting curve, and comparing the slope value with a preset slope value threshold; If the slope value is greater than a preset slope value threshold, various influencing factors that cause a decrease in the magnetic flux regulation response speed are obtained based on a big data network; wherein the influencing factors include environmental factors, equipment aging factors, and signal transmission factors; and obtaining multidimensional control parameter information of the BMS control system of each influencing factor during the pre-test of the gyromagnetic therapy device, and analyzing the attention weight value between the multidimensional control parameter information of the BMS control system of each influencing factor and the magnetic flux adjustment response speed of the gyromagnetic therapy device at each time stamp during the pre-test based on the multi-head attention mechanism; The influencing factor BMS control system corresponding to the attention weight value being greater than the preset weight value threshold is marked as a faulty BMS control system, and a BMS control system fault detection report is generated, and the BMS control system fault detection report is sent to a preset terminal.

[0033] It should be noted that, first, operation logs were collected from the gyromagnetic therapy device during the pre-test phase. These logs contain device operation records at different time points, specifically information on the magnetic flux regulation response speed. A polynomial curve fitting algorithm was used to fit the collected magnetic flux regulation response speed data, generating a fitted curve that reflects the changing trend of the device's magnetic flux regulation response speed during the pre-test phase. The slope of the fitted curve was calculated, reflecting the rate of change of the magnetic flux regulation response speed. These slope values ​​were compared with preset thresholds to determine whether there were any anomalies in the magnetic flux regulation response speed. If the slope value exceeded the preset threshold, it indicated a downward trend in the magnetic flux regulation response speed, possibly due to environmental factors, device aging, or signal transmission factors. Using a big data network, the system collected and analyzed these potential influencing factors. Furthermore, information on BMS (battery management system) control parameters related to these influencing factors was obtained and analyzed using a multi-head attention mechanism. The multi-head attention mechanism is a deep learning technique that effectively identifies key relationships between different control parameters and the magnetic flux regulation response speed. By analyzing the resulting attention weights, we can identify the control parameters that have the greatest impact on the magnetic flux regulation response speed—those whose weights exceed preset thresholds. For these BMS control systems marked as faulty, detailed fault detection reports are generated and pushed through pre-set terminals for subsequent maintenance and optimization. This entire process aims to rapidly and automatically identify and diagnose potential issues with gyromagnetic therapy equipment during pre-testing, enabling proactive action to ensure stability and efficiency during full operation.

[0034] The second aspect of the present invention discloses a gyromagnetic therapy device control system based on dynamic magnetic field monitoring, such as Figure 3As shown, the gyromagnetic therapy device control system includes a memory 50 and a processor 100. The memory 50 stores a gyromagnetic therapy device control method program. When the gyromagnetic therapy device control method program is executed by the processor 100, any one of the steps of the gyromagnetic therapy device control method is implemented.

[0035] The third aspect of the present invention discloses a computer-readable storage medium, which includes a gyromagnetic therapy device control method program. When the gyromagnetic therapy device control method program is executed by a processor, any one of the steps of the gyromagnetic therapy device control method is implemented.

[0036] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0037] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0038] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0039] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned method embodiments may be implemented by hardware associated with program instructions, and the aforementioned program may be stored in a computer-readable storage medium. When the program is executed, the program executes the steps of the above-mentioned method embodiments. The aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0040] Alternatively, if the integrated units described above are implemented as software modules and sold or used as standalone products, they can also be stored on a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product, stored on a storage medium, includes instructions for enabling a computer device (such as a personal computer, server, or network device) to execute all or part of the methods of the various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as removable storage devices, ROM, RAM, magnetic disks, or optical disks.

[0041] The above are only specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed by the present invention, which should be covered by the scope of protection of the present invention.

Claims

1. A method for controlling a gyromagnetic treatment device based on dynamic magnetic field monitoring, characterized in that: The following steps are involved: Obtaining a preset control scheme of the gyromagnetic therapy device, obtaining preset working parameters of the gyromagnetic therapy device at each time stamp according to the preset control scheme, and controlling the operation of the gyromagnetic therapy device through a BMS control system based on the preset working parameters of each time stamp, so as to pre-test the gyromagnetic therapy device; In the pre-test process, the actual magnetic strength of each preset position node in the target area at each time stamp is obtained, and the actual magnetic strength distribution map of the target area at each time stamp is constructed according to the actual magnetic strength of each preset position node; Obtaining a preset treatment plan for a target patient, and determining a preset magnetic intensity distribution map of a target area at each time stamp according to the preset treatment plan; Evaluate and analyze the preset control scheme of the gyromagnetic therapy device based on the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at each time stamp; If the preset control scheme of the gyromagnetic therapy device is marked as a state that does not require regulation, the preset control scheme is used as the final control scheme, and the final control scheme is output to the preset terminal; If the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation, the magnetic field strength drift position node is further analyzed to obtain a frequent magnetic field strength drift position node or an occasional magnetic field strength drift position node; If the gyromagnetic therapy device has frequent magnetic field intensity drift position nodes during the pre-test process, a fault warning message is generated, and the fault warning message is sent to a preset terminal, and the use of the gyromagnetic therapy device is suspended; If there are only occasional magnetic field intensity drift position nodes in the gyromagnetic therapy device during the pre-test process, the preset control scheme is corrected to obtain a corrected control scheme, the corrected control scheme is used as the final control scheme, and the final control scheme is output to the preset terminal.

2. A method for controlling a gyromagnetic treatment device based on dynamic magnetic field monitoring according to claim 1, characterized in that: The preset control scheme of the gyromagnetic therapy device is evaluated and analyzed based on the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at each time stamp, specifically: Calculate the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at each time stamp; Compare the mutual information value between the preset magnetic intensity distribution map of the target area at each time stamp and the actual magnetic intensity distribution map with a preset threshold; If the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at a certain timestamp is greater than a preset threshold, the magnetic field intensity parameter of the target area at the timestamp is marked as a normal state, and the timestamp is marked as a normal timestamp of magnetic field intensity parameter; If the mutual information value between the preset magnetic intensity distribution map and the actual magnetic intensity distribution map of the target area at a certain timestamp is not greater than a preset threshold, the magnetic field intensity parameter of the target area at the timestamp is marked as a drift state, and the timestamp is marked as a magnetic field intensity parameter drift timestamp; This process is repeated until the magnetic field strength parameters at each time stamp are analyzed; the total number of time stamps in which the magnetic field strength parameters are marked as drifting and the total number of time stamps in which the magnetic field strength parameters are marked as normal are counted; The total number of timestamps in which the magnetic field strength parameter is marked as drifting state is processed by ratio with the total number of timestamps in which the magnetic field strength parameter is marked as normal state, so as to obtain the drift amplitude of the magnetic field strength parameter of the gyromagnetic therapy device during the pre-test process; If the drift amplitude of the magnetic field strength parameter is greater than the preset amplitude threshold, the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation; if the drift amplitude of the magnetic field strength parameter is not greater than the preset amplitude threshold, the preset control scheme of the gyromagnetic therapy device is marked as a state requiring no regulation.

3. A method for controlling a gyromagnetic treatment device based on dynamic magnetic field monitoring according to claim 2, characterized in that: If the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation, the magnetic field strength drift position node is further analyzed to obtain a frequent magnetic field strength drift position node or an occasional magnetic field strength drift position node, specifically: If the preset control scheme of the gyromagnetic therapy device is marked as a state requiring regulation, a preset magnetic force intensity distribution diagram and an actual magnetic force intensity distribution diagram corresponding to the drift timestamps of each magnetic field intensity parameter are obtained; Performing Fourier transform processing on the preset magnetic intensity distribution diagram corresponding to each magnetic field intensity parameter drift timestamp and the actual magnetic intensity distribution diagram to obtain a frequency spectrum matrix of the preset magnetic intensity distribution diagram corresponding to each magnetic field intensity parameter drift timestamp, which is defined as a first frequency spectrum matrix; and obtaining a spectrum matrix of the actual magnetic intensity distribution diagram corresponding to each magnetic field intensity parameter drift time stamp, which is defined as a second spectrum matrix; Compare and analyze the first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift time stamp to obtain the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift time stamp; Performing counting and statistical analysis on the magnetic field intensity drift position nodes of the target area in each magnetic field intensity parameter drift time stamp, and obtaining the occurrence frequency value of each magnetic field intensity drift position node; If the occurrence frequency value of a certain magnetic field strength drift position node is greater than a preset frequency value, the magnetic field strength drift position node is defined as a frequent magnetic field strength drift position node; If the occurrence frequency value of a certain magnetic field strength drift position node is not greater than a preset frequency value, the magnetic field strength drift position node is defined as an occasional magnetic field strength drift position node.

4. A method for controlling a gyromagnetic treatment device based on dynamic magnetic field monitoring according to claim 3, characterized in that: The first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift timestamp are compared and analyzed to obtain the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift timestamp, specifically: Obtain a first spectrum matrix and a second spectrum matrix of drift timestamps of each magnetic field intensity parameter; Calculate the Euclidean distance between the spectrum values ​​of the first spectrum matrix and the second spectrum matrix at the same matrix position of each magnetic field intensity parameter drift time stamp to obtain a plurality of Euclidean distance values; Constructing a distance matrix according to the calculated Euclidean distance values, and traversing the elements of the distance matrix; If an element of the distance matrix is ​​a non-zero element, the position node corresponding to the non-zero element in the actual magnetic intensity distribution map is marked as a magnetic field intensity drift position node; If an element of the distance matrix is ​​a zero element, the position node corresponding to the zero element in the actual magnetic intensity distribution diagram is marked as a normal magnetic field intensity position node; Repeat the above steps, compare and analyze the first spectrum matrix and the second spectrum matrix of each magnetic field intensity parameter drift timestamp one by one, and after the analysis is completed, obtain the magnetic field intensity drift position node of the target area in each magnetic field intensity parameter drift timestamp.

5. The method for controlling a gyromagnetic treatment device based on dynamic magnetic field monitoring according to claim 1, characterized in that: If the gyromagnetic therapy device only has occasional magnetic field intensity drift position nodes during the pre-test process, the preset control scheme is corrected to obtain a corrected control scheme, specifically: Acquire device construction information of the gyromagnetic therapy device, acquire each magnetic flux sub-regulation module in the gyromagnetic therapy device according to the device construction information, and acquire the magnetic flux regulation area corresponding to each magnetic flux sub-regulation module; Constructing a knowledge graph, and segmenting a plurality of spatial nodes in the knowledge graph based on each flux sub-regulation module; Based on the magnetic flux adjustment area corresponding to each magnetic flux sub-adjustment module, a magnetic flux adjustment area index label is added to each magnetic flux sub-adjustment module; Assign the index label of each flux regulation area to the corresponding spatial node of the knowledge graph to obtain a knowledge graph with flux regulation area information.

6. A method for controlling a gyromagnetic treatment device based on dynamic magnetic field monitoring according to claim 5, characterized in that: The following steps are also included: If the gyromagnetic therapy device only has an occasional magnetic field strength drift position node during the pre-test process, then the occasional magnetic field strength drift position node is obtained; Importing the occasional magnetic field strength drift position node into the knowledge graph with the magnetic flux regulation area information for pairing, obtaining the magnetic flux sub-regulation module corresponding to the occasional magnetic field strength drift position node, and defining it as the magnetic flux sub-regulation module to be regulated; Obtaining the device operation log of the gyromagnetic therapy device during the pre-test, and obtaining the historical working parameters of the magnetic flux sub-regulation module to be regulated at each time stamp during the pre-test process according to the device operation log; Obtaining a preset control scheme of the gyromagnetic therapy device, and obtaining preset working parameters of each time stamp of the magnetic flux regulating module to be regulated during the pre-test process according to the preset control scheme; Calculate the working parameter deviation value between the historical working parameter of each timestamp and the corresponding preset working parameter, and compare the working parameter deviation value between the historical working parameter of each timestamp and the corresponding preset working parameter with the preset deviation value threshold; Marking the preset working parameter of the timestamp corresponding to the working parameter deviation value greater than the preset deviation value threshold, and modifying the preset working parameter of the marked timestamp based on the corresponding working parameter deviation value; By analogy, after all preset working parameters of the marked time stamps are corrected, a corrected control scheme is obtained.

7. According to the method for controlling a gyromagnetic therapy device based on dynamic magnetic field monitoring as described in claim 1, the operating parameters include magnetic flux, voltage, current, frequency, temperature and response time.

8. A control system for gyromagnetic therapy equipment based on dynamic magnetic field monitoring, characterized in that: The gyromagnetic therapy device control system includes a memory and a processor, wherein the gyromagnetic therapy device control method program is stored in the memory, and when the gyromagnetic therapy device control method program is executed by the processor, the gyromagnetic therapy device control method steps as described in any one of claims 1 to 7 are implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a gyromagnetic therapy device control method program, and when the gyromagnetic therapy device control method program is executed by a processor, the gyromagnetic therapy device control method steps as described in any one of claims 1 to 7 are implemented.

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