Real-time Status Monitoring Method and System for Superconducting Magnets of Maglev Transportation System

Abstract

The present invention relates to the technical field of status monitoring, and discloses a method and system for real-time status monitoring of a superconducting magnet in a maglev transportation system. The system includes: an on-vehicle antenna; an on-vehicle acquisition device including a wireless communication module, where the on-vehicle acquisition device is used to collect relevant status data during the demagnetization process of the superconducting magnet in real time, and output the collected relevant status data to a processing device through the wireless communication module and the on-vehicle antenna; the processing device is used to construct a magnetic field noise correction model of the superconducting magnet, and use the correction model to correct the collected relevant status data to obtain corrected relevant status data; the processing device is further used to generate twin data of the superconducting magnet according to the collected relevant status data. Thus, reliable monitoring of the real-time status of the superconducting magnet can be achieved to ensure that the status of the superconducting magnet is controllable before and after the test.

Description

Technical Field

[0001] The present invention relates to the technical field of condition monitoring, and particularly to a real-time condition monitoring method and system for a superconducting magnet of a maglev transportation system. Background Art

[0002] A superconducting magnet is a core component of a maglev transportation system with ultra-high speed and low vacuum pipelines. The levitation force, guiding force, and propulsion force required for train operation are generated through the interaction between the superconducting magnet and the ground coil module. However, the superconducting magnet has problems such as a complex working mechanism and a high failure rate. Therefore, it is very necessary to develop a condition monitoring technology for superconducting magnets to ensure the normal state of the superconducting magnet before and after train operation.

[0003] Due to the characteristics of the superconducting magnet itself, evacuation, refrigeration, and magnetization operations need to be carried out before train operation, a stable strong magnetic field needs to be maintained during operation, and demagnetization operation needs to be carried out after train operation. The data of the traditional superconducting magnet is collected by an on-vehicle recorder and downloaded after the magnet is demagnetized at the end of train operation. Due to the limitation of the number of sampling channels of the on-vehicle recorder, only a certain number and type of sensors can be arranged to collect part of the data at the corresponding positions of the superconducting magnet. However, the magnetic field intensity around the superconducting magnet is relatively strong for some time after the test, and it is impossible to approach to obtain the test data, which brings serious challenges to the condition monitoring of the superconducting magnet.

[0004] Using wireless transmission technology to download data during the demagnetization process is the most direct method to achieve real-time monitoring. However, wireless transmission of data in a strong magnetic field environment will be affected by interference signals such as noise introduced by the strong magnetic field.

[0005] It can be seen that the existing real-time condition monitoring of superconducting magnets has problems such as less sampled data, large interference in real-time data transmission, and unknown state. Summary of the Invention

[0006] The present invention provides a real-time condition monitoring method and system for a superconducting magnet of a maglev transportation system, which can solve the technical problems in the prior art.

[0007] The present invention provides a real-time condition monitoring system for a superconducting magnet of a maglev transportation system, wherein the system includes:

[0008] An on-vehicle antenna;

[0009] An on-vehicle acquisition device, including a wireless communication module. The on-vehicle acquisition device is used to collect relevant state data during the demagnetization process of the superconducting magnet in real time, and output the collected relevant state data to a processing device through the wireless communication module and the on-vehicle antenna;

[0010] The processing device is used to construct a magnetic field noise correction model for the superconducting magnet, and use the correction model to correct the collected relevant state data to obtain the corrected relevant state data;

[0011] The processing device is also used to generate twin data of the superconducting magnet according to the collected relevant state data.

[0012] Preferably, the processing device is also used to visually display the corrected relevant state data and the twin data according to the corrected relevant state data, the twin data and the digital twin space.

[0013] Preferably, the processing device uses the correction model to correct the collected relevant state data to obtain the corrected relevant state data, including:

[0014] Compress the initial stage data in the collected relevant state data;

[0015] Calculate the mean and variance of the compressed initial stage data according to the correction model;

[0016] Calculate the error of each acquisition channel according to the mean and variance of the compressed initial stage data and the error coefficient of each acquisition channel;

[0017] Correct the data other than the initial stage in the collected relevant state data according to the error of each acquisition channel to obtain the corrected relevant state data.

[0018] Preferably, the vehicle-mounted antenna and the vehicle-mounted acquisition device are connected through a vehicle-mounted communication cable with a shielding layer.

[0019] Preferably, the vehicle-mounted acquisition device is a vehicle-mounted recorder.

[0020] The present invention also provides a method for real-time state monitoring of a superconducting magnet in a maglev transportation system, wherein the method includes:

[0021] The vehicle-mounted acquisition device collects relevant state data in the demagnetization process of the superconducting magnet in real time, and outputs the collected relevant state data to the processing device through the wireless communication module and the vehicle-mounted antenna;

[0022] The processing device constructs a magnetic field noise correction model for the superconducting magnet, and uses the correction model to correct the collected relevant state data to obtain the corrected relevant state data;

[0023] The processing device generates twin data of the superconducting magnet according to the collected relevant state data.

[0024] Preferably, the method further includes: the processing device visually displays the corrected relevant status data and the twin data based on the corrected relevant status data, the twin data, and the digital twin space.

[0025] Preferably, using the correction model to correct the collected relevant status data to obtain the corrected relevant status data includes:

[0026] Performing compression processing on the initial stage data in the collected relevant status data;

[0027] Calculating the mean and variance of the compressed initial stage data according to the correction model;

[0028] Calculating the error of each acquisition channel according to the mean and variance of the compressed initial stage data and the error coefficient of each acquisition channel;

[0029] Correcting the data other than the initial stage in the collected relevant status data according to the error of each acquisition channel to obtain the corrected relevant status data.

[0030] Through the above technical solution, the relevant status data during the demagnetization process of the superconducting magnet can be collected in real time and output through the wireless communication module and the vehicle-mounted antenna to ensure that the processing device (on the ground) can obtain the real-time status data of the superconducting magnet; then, the data in the initial stage of demagnetization is imported into the magnetic field noise correction model generated using the historical status data to generate the later noise influence, and the corrected relevant status data of the superconducting magnet is obtained by combining the status data other than the initial stage of demagnetization (i.e., after the initial stage); the twin data of the superconducting magnet is generated based on the collected relevant status data to obtain the full status data of the superconducting magnet. Thus, reliable monitoring of the real-time status of the superconducting magnet can be achieved to ensure that the status of the superconducting magnet is controllable before and after the test. Description of the Drawings

[0031] The included drawings are used to provide a further understanding of the embodiments of the present invention, which form a part of the specification, are used to illustrate the embodiments of the present invention, and are used to explain the principles of the present invention together with the text description. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0032] Figure 1 Shows a flowchart of a method for real-time status monitoring of a superconducting magnet in a maglev transportation system according to an embodiment of the present invention. Detailed Embodiments

[0033] It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments may be combined with each other. The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and in no way limits the present invention and its application or use. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0034] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0035] Unless otherwise specifically stated, the relative arrangements, numerical expressions, and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention. At the same time, it should be understood that for the convenience of description, the dimensions of the various parts shown in the drawings are not drawn in actual proportional relationships. Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and devices should be regarded as part of the authorized specification. In all the examples shown and discussed here, any specific value should be interpreted as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values. It should be noted that like reference numerals and letters denote like items in the following drawings, and thus, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0036] In the present invention, the maglev transportation system may be an ultra-high-speed low-vacuum pipeline maglev transportation system.

[0037] The embodiment of the present invention provides a real-time status monitoring system for a superconducting magnet of a maglev transportation system. Among them, the system includes:

[0038] On-vehicle antenna;

[0039] Among them, the on-vehicle antenna may be arranged on the outer surface of the train in the maglev transportation system. For example, the on-vehicle antenna may be connected to the on-vehicle acquisition device inside the vehicle through the on-vehicle communication cable in a perforated form, so that the processing device can obtain the real-time status data of the superconducting magnet.

[0040] The vehicle-mounted acquisition device includes a wireless communication module (e.g., a WiFi communication module). The vehicle-mounted acquisition device is used to collect relevant status data during the demagnetization process of the superconducting magnet in real time, and output the collected relevant status data to the processing device through the wireless communication module and the vehicle-mounted antenna;

[0041] Among them, the relevant status data during the demagnetization process of the superconducting magnet may include data such as temperature, voltage, magnetic field, and stress.

[0042] The processing device is used to construct a magnetic field noise correction model of the superconducting magnet, and use the correction model to correct the collected relevant status data to obtain the corrected relevant status data;

[0043] By correcting the collected relevant status data through the correction model, the problem of noise interference introduced by the transmission of the superconducting magnet in a strong magnetic field environment can be solved.

[0044] The processing device is also used to generate twin data of the superconducting magnet according to the collected relevant status data.

[0045] For example, the twin data of the superconducting magnet can be generated by combining the collected relevant status data with a digital twin body including the mechanism model of the superconducting magnet. By generating partial superconducting magnet data (twin data) through the digital twin body, the problem of limited sampling channels of the vehicle-mounted acquisition device can be solved.

[0046] Through the above technical solutions, the relevant status data during the demagnetization process of the superconducting magnet can be collected in real time and output through the wireless communication module and the vehicle-mounted antenna to ensure that the processing device (ground) can obtain the real-time status data of the superconducting magnet; then, the data in the initial demagnetization stage is imported into the magnetic field noise correction model generated using historical status data to generate the later noise influence, and combined with the status data outside the initial demagnetization stage (i.e., after the initial stage) to obtain the corrected relevant status data of the superconducting magnet; the twin data of the superconducting magnet is generated according to the collected relevant status data to obtain the full status data of the superconducting magnet. Thus, reliable monitoring of the real-time status of the superconducting magnet can be achieved to ensure that the status of the superconducting magnet is controllable before and after the test.

[0047] According to an embodiment of the present invention, the processing device is also used to visually display the corrected relevant status data and the twin data according to the corrected relevant status data, the twin data, and the digital twin space.

[0048] For example, the real test data (corrected relevant status data) and the generated data (twin data) can be merged, and the merged data is transmitted to the superconducting magnet digital twin space constructed by Unity3D and combined with the three-dimensional model of the superconducting magnet to realize the display of the three-dimensional data of the superconducting magnet.

[0049] Thus, the real-time status data during the demagnetization process of the superconducting magnet in the ultra-high-speed and low-vacuum pipeline maglev transportation system under the conditions of strong magnetic field and limited sampling data can be displayed in a three-dimensional manner (stereoscopic multi-dimensional), and the real-time status monitoring of the superconducting magnet can be realized in a more intuitive way.

[0050] According to an embodiment of the present invention, the processing device constructs a magnetic field noise correction model of the superconducting magnet, including:

[0051] Calculating the mean and variance of each acquisition channel of each experiment data according to the historical acquisition data (wherein, the historical acquisition data includes the experiment data of multiple experiments):

[0052]

[0053]

[0054] In the formula, x sp (i) is the i-th acquisition data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet, is the average value (mean value) of the data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet, and σ sp is the variance of the data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet. l s is the length of the acquisition data corresponding to the minimum sampling rate in the s-th test.

[0055] Calculating the error between each experiment data (acquisition data of each experiment) and the corresponding simulation data:

[0056] e sp (i) = x sp (i) - x' sp (i) (3)

[0057]

[0058] In the formula, x' sp (i) is the i-th simulation data of the p-th acquisition channel in the s-th test, and e sp (i) is the error between the i-th simulation data and the test data of the p-th acquisition channel in the s-th test, and e sp is the mean error of the p-th acquisition channel in the s-th test.

[0059] Calculating the error coefficient of each channel according to the variance of each acquisition channel of each experiment data and the error between each experiment data and the corresponding simulation data:

[0060]

[0061] σ p = min(σ 1p ,σ 2p ,...,σ sp ) (6)

[0062] e p = λ p σ p (7)

[0063] Wherein, e p is the error of the p-th acquisition channel in the historical acquisition data of the superconducting magnet, and σ p is the variance of the p-th acquisition channel in the historical acquisition data of the superconducting magnet, and λ p is the error coefficient of the p-th acquisition channel in the historical acquisition data of the superconducting magnet.

[0064] Thus, according to Equation (7), the error coefficient λ p of the p-th acquisition channel can be calculated.

[0065] According to an embodiment of the present invention, the processing device uses the correction model to correct the acquired relevant state data, and the corrected relevant state data obtained includes:

[0066] Compress the initial stage data in the acquired relevant state data;

[0067] Wherein, the initial stage data includes data of p acquisition channels.

[0068] Calculate the mean and variance of the compressed initial stage data according to the correction model;

[0069] Calculate the error of each acquisition channel according to the mean and variance of the compressed initial stage data and the error coefficient of each acquisition channel;

[0070] Correct the data other than the initial stage in the acquired relevant state data according to the error of each acquisition channel to obtain the corrected relevant state data.

[0071] For example, for any set of test data, if e p = λ p σ p , then e' p = λ' p σ' p . Wherein, e' p is the error of the p-th acquisition channel in the relevant state data acquired in real time by the superconducting magnet, and λ' p is the error coefficient of the p-th acquisition channel in the relevant state data acquired in real time by the superconducting magnet, and σ' pVariance of the p-th acquisition channel in the relevant status data collected in real time by the superconducting magnet.

[0072] According to an embodiment of the present invention, the vehicle-mounted antenna and the vehicle-mounted acquisition device are connected through a vehicle-mounted communication cable with a shielding layer.

[0073] Thus, external signal interference can be shielded by the shielding layer.

[0074] According to an embodiment of the present invention, the vehicle-mounted acquisition device is a vehicle-mounted recorder.

[0075] Figure 1 The flowchart of a method for real-time status monitoring of a superconducting magnet in a maglev transportation system according to an embodiment of the present invention is shown.

[0076] As Figure 1 shown, an embodiment of the present invention also provides a method for real-time status monitoring of a superconducting magnet in a maglev transportation system, wherein the method includes:

[0077] S100, the vehicle-mounted acquisition device collects relevant status data in real time during the demagnetization process of the superconducting magnet, and outputs the collected relevant status data to the processing device through the wireless communication module and the vehicle-mounted antenna;

[0078] S102, the processing device constructs a magnetic field noise correction model of the superconducting magnet, and uses the correction model to correct the collected relevant status data to obtain corrected relevant status data;

[0079] S104, the processing device generates twin data of the superconducting magnet according to the collected relevant status data.

[0080] Through the above technical solutions, relevant status data during the demagnetization process of the superconducting magnet can be collected in real time and output through the wireless communication module and the vehicle-mounted antenna to ensure that the processing device (ground) can obtain the real-time status data of the superconducting magnet; then, the data in the initial demagnetization stage is imported into the magnetic field noise correction model generated using historical status data to generate the later noise influence, and the corrected relevant status data of the superconducting magnet is obtained by combining the status data outside the initial demagnetization stage (i.e., after the initial stage). Thus, reliable monitoring of the real-time status of the superconducting magnet can be achieved to ensure that the status of the superconducting magnet is controllable before and after the test.

[0081] According to an embodiment of the present invention, the method further includes: S106, the processing device performs visual display (i.e., superconducting magnet digital twin space display) on the corrected relevant status data and the twin data according to the corrected relevant status data, the twin data, and the digital twin space.

[0082] According to an embodiment of the present invention, using the correction model to correct the collected relevant state data to obtain the corrected relevant state data includes:

[0083] Performing compression processing on the initial stage data in the collected relevant state data;

[0084] Calculating the mean and variance of the compressed initial stage data according to the correction model;

[0085] Calculating the error of each acquisition channel according to the mean and variance of the compressed initial stage data and the error coefficient of each acquisition channel;

[0086] Correcting the data other than the initial stage in the collected relevant state data according to the error of each acquisition channel to obtain the corrected relevant state data.

[0087] The above Figure 1 The described method corresponds to the aforementioned system. Specific examples can refer to the description of the system above and will not be elaborated here.

[0088] It can be seen from the above embodiments that the real-time state monitoring system and method of the present invention have at least the following advantages:

[0089] 1) Since the fault mechanism of the superconducting magnet in the ultra-high-speed and low-vacuum pipeline maglev transportation system is complex, there are many influencing factors, and the number of sampling channels of the on-vehicle recorder is limited. Establishing a digital twin model of the superconducting magnet to comprehensively monitor the real-time state of the superconducting magnet can obtain more complete and indirect superconducting magnet test data, laying a foundation for the state monitoring of the superconducting magnet.

[0090] 2) Due to the characteristics of the superconducting magnet itself, it will maintain a strong magnetic field state for a period of time after the test. By adding a wireless module (wifi communication module) to the on-vehicle recorder and connecting the on-vehicle recorder to the antenna on the outer surface of the sled, the data of the superconducting magnet demagnetization process is transmitted to the ground in real time, realizing the real-time state monitoring of the superconducting magnet.

[0091] 3) Since there is a strong magnetic field around the superconducting magnet during the demagnetization process, a noise correction model is generated through the historical state data of the superconducting magnet, and the obtained real-time data is corrected using this model, avoiding the influence of noise on the data accuracy.

[0092] 4) Using the real-time data of the superconducting magnet and the indirect data generated through the digital twin model, combined with the three-dimensional model of the superconducting magnet, the data is visualized in a three-dimensional manner.

[0093] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by orientation words such as "front, rear, upper, lower, left, right", "lateral, vertical, perpendicular, horizontal" and "top, bottom", etc. is usually based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description. Without contrary description, these orientation words do not indicate and imply that the device or element referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation on the protection scope of the present invention; the orientation words "inside, outside" refer to the inside and outside relative to the contour of each component itself.

[0094] For convenience of description, spatial relative terms such as "above...", "over...", "on the upper surface of...", "above-mentioned", etc. can be used here to describe the spatial positional relationship between a device or feature shown in the drawings and other devices or features. It should be understood that the spatial relative terms are intended to cover different orientations in use or operation in addition to the orientation described in the drawings for the device. For example, if the device in the drawing is inverted, the device described as "above other devices or structures" or "over other devices or structures" will then be positioned as "below other devices or structures" or "under other devices or structures". Thus, the exemplary term "above..." can include both the orientations of "above..." and "below...". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and the corresponding explanations for the spatial relative descriptions used here will be made.

[0095] In addition, it should be noted that using words such as "first", "second", etc. to limit components is only for the convenience of distinguishing the corresponding components. Without additional statement, the above words have no special meaning. Therefore, it should not be construed as a limitation on the protection scope of the present invention.

[0096] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A real-time status monitoring system for superconducting magnets of a maglev transportation system, characterized in that, The system includes: A vehicle-mounted antenna; A vehicle-mounted acquisition device, including a wireless communication module. The vehicle-mounted acquisition device is used to collect relevant status data during the demagnetization process of the superconducting magnet in real time, and output the collected relevant status data to a processing device through the wireless communication module and the vehicle-mounted antenna; The processing device is used to construct a magnetic field noise correction model for the superconducting magnet, and use the correction model to correct the collected relevant status data to obtain corrected relevant status data; The processing device is also used to generate twin data of the superconducting magnet according to the collected relevant status data; The processing device constructs the magnetic field noise correction model for the superconducting magnet, including: Calculating the mean and variance of each acquisition channel of each experiment data according to historical acquisition data, where the historical acquisition data includes experiment data of multiple experiments: where x sp (i) is the i-th acquisition data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet, is the mean value of the data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet, and σ sp is the variance of the data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet, and l s is the acquisition data length corresponding to the minimum sampling rate in the s-th test; Calculating the error between each experiment data and the corresponding simulation data; e sp (i) = x sp (i) - x' sp (i) (3) where x' sp (i) is the i-th simulation data of the p-th acquisition channel in the s-th test, e sp (i) is the error between the i-th simulation data and the test data of the p-th acquisition channel in the s-th test, e sp is the mean error of the p-th acquisition channel in the s-th test; Calculating the error coefficient of each channel according to the variance of each acquisition channel of each experiment data and the error between each experiment data and the corresponding simulation data; σ p = min(σ 1p , σ 2p …, σ sp ) (6) e p = λ p σ p (7) Among them, e p is the error of the p-th acquisition channel in the historical acquisition data of the superconducting magnet, and σ p is the variance of the p-th acquisition channel in the historical acquisition data of the superconducting magnet, and λ p is the error coefficient of the p-th acquisition channel in the historical acquisition data of the superconducting magnet.

2. The system according to claim 1, wherein The processing device is also used to visually display the corrected relevant status data and twin data according to the corrected relevant status data, twin data, and digital twin space.

3. The system according to claim 2, wherein The processing device uses the correction model to correct the collected relevant status data to obtain corrected relevant status data, including: Performing compression processing on the initial stage data in the collected relevant status data; Calculating the mean and variance of the compressed initial stage data according to the correction model; Calculating the error of each acquisition channel according to the mean and variance of the compressed initial stage data and the error coefficient of each acquisition channel; Correcting the data other than the initial stage in the collected relevant status data according to the error of each acquisition channel to obtain corrected relevant status data.

4. The system according to any one of claims 1-3, characterized in that The vehicle-mounted antenna and the vehicle-mounted acquisition device are connected through a vehicle-mounted communication cable with a shielding layer.

5. The system according to any one of claims 1-3, characterized in that The vehicle-mounted acquisition device is a vehicle-mounted recorder.

6. A real-time status monitoring method for superconducting magnets in a maglev transportation system, characterized in that, The method includes: The vehicle-mounted acquisition device collects relevant status data during the demagnetization process of the superconducting magnet in real time, and outputs the collected relevant status data to a processing device through the wireless communication module and the vehicle-mounted antenna; The processing device constructs a magnetic field noise correction model for the superconducting magnet, and uses the correction model to correct the collected relevant status data to obtain corrected relevant status data; The processing device generates twin data of the superconducting magnet according to the collected relevant status data; The processing device constructs the magnetic field noise correction model for the superconducting magnet, including: Calculating the mean and variance of each acquisition channel of each experiment data according to historical acquisition data, where the historical acquisition data includes experiment data of multiple experiments: where x sp (i) is the i-th acquisition data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet, is the mean value of the data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet, σ sp is the variance of the data of the p-th acquisition channel in the s-th test of the historical acquisition data of the superconducting magnet, l s is the acquisition data length corresponding to the minimum sampling rate in the s-th test; Calculating the error between each experiment data and the corresponding simulation data; e sp (i) = x sp (i) - x' sp (i)(3) where x' sp (i) is the i-th simulation data of the p-th acquisition channel in the s-th test, e sp (i) is the error between the i-th simulation data and the test data of the p-th acquisition channel in the s-th test, e sp is the mean error of the p-th acquisition channel in the s-th test; Calculating the error coefficient of each channel according to the variance of each acquisition channel of each experiment data and the error between each experiment data and the corresponding simulation data; σ p = min(σ 1p , σ 2p , …, σ sp ) (6) e p = λ p σ p (7) Among them, e p is the error of the p-th acquisition channel in the historical acquisition data of the superconducting magnet, and σ p is the variance of the p-th acquisition channel in the historical acquisition data of the superconducting magnet, and λ p is the error coefficient of the p-th acquisition channel in the historical acquisition data of the superconducting magnet.

7. The method according to claim 6, wherein The method also includes: The processing device visually displays the corrected relevant status data and twin data according to the corrected relevant status data, twin data, and digital twin space.

8. The method according to claim 7, characterized in that, Using the correction model to correct the collected relevant status data, and obtaining the corrected relevant status data includes: Performing compression processing on the initial stage data in the collected relevant status data; Calculating the mean and variance of the compressed initial stage data according to the correction model; Calculating the error of each acquisition channel according to the mean and variance of the compressed initial stage data and the error coefficient of each acquisition channel; Correcting the data other than the initial stage in the collected relevant status data according to the error of each acquisition channel, and obtaining the corrected relevant status data.

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