Superconducting magnet cooling process fault identification method and device

Abstract

The invention discloses a superconducting magnet cooling process fault identification method and device, and the method comprises the steps: obtaining the real-time temperature of a superconducting magnet in a cooling process, and obtaining a deviation value between a first real-time temperature and a first theoretical temperature if the first real-time temperature at a first moment deviates from the first theoretical temperature of the superconducting magnet, the first theoretical temperature is the temperature corresponding to the first moment on the cooling curve; if the deviation value is within a first preset range, executing a first fault identification strategy; if the deviation value is not within the first preset range, executing a second fault identification strategy; and based on the first fault identification strategy and the second fault identification strategy, realizing fault identification in the cooling process. According to the method, the abnormal condition in the cooling process of the superconducting magnet can be recognized in time, the possibility that the superconducting magnet is damaged due to the fact that the optimal fault recognition time is delayed is avoided to a certain extent, an operator does not need to check the whole cooling process in real time in the whole process, the operation process is optimized, and the working efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of superconducting magnet technology, and in particular to a method and apparatus for fault identification during the cooling process of a superconducting magnet. Background Technology

[0002] Superconducting magnets, with their high field strength and low energy consumption, have gradually replaced permanent magnets as the mainstream magnets on the market. Superconducting magnets can only achieve superconductivity under certain low-temperature conditions. Therefore, in order to ensure the normal operation of superconducting magnets, they need to be continuously cooled, and refrigerators are usually used to provide the low-temperature environment required for their operation.

[0003] Because superconducting magnets are easily affected by external factors during the cooling process, a failure in critical equipment can disrupt the low-temperature environment required for the magnet's operation. This can cause the magnet coils within the magnet to heat up rapidly. If measures are not taken promptly, all the work done in the initial cooling process will be rendered meaningless, and in severe cases, it can even lead to magnet failure. Currently, the cooling process for superconducting magnets requires the operator to be present throughout the entire process, monitoring the magnet's temperature and promptly identifying any abnormalities.

[0004] The process of real-time monitoring and operation by operators is inconvenient, labor-intensive, and prone to faults that operators cannot easily identify, leading to delays in the optimal fault handling time and consequently extending the cooling time of the superconducting magnet or damaging the magnet. Summary of the Invention

[0005] This invention provides a method and apparatus for fault identification during the cooling process of a superconducting magnet, which solves the problem in the prior art where it is inconvenient for operators to monitor and operate the process in real time, and faults cannot be easily identified, leading to delays in the optimal fault handling time and damage to the superconducting magnet.

[0006] In a first aspect, embodiments of the present invention provide a method for fault identification during the cooling process of a superconducting magnet, comprising: The real-time temperature of the superconducting magnet during the cooling process is obtained. If the first real-time temperature at the first moment deviates from the first theoretical temperature of the superconducting magnet, the deviation value between the first real-time temperature and the first theoretical temperature is obtained. The first theoretical temperature is the temperature corresponding to the first moment on the cooling curve. The cooling curve is used to characterize the change of temperature over time. If the deviation value is within the first preset range, then the first fault identification strategy is executed; If the deviation value is not within the first preset range, then the second fault identification strategy is executed; Based on the first fault identification strategy and the second fault identification strategy, fault identification is achieved during the cooling process.

[0007] In one possible implementation, the execution of the first fault identification strategy further includes: The second real-time temperature at the second moment is obtained. When the second real-time temperature deviates from the second theoretical temperature, the second fault identification strategy is executed. The second theoretical temperature is the temperature corresponding to the second moment on the cooling curve, and the difference between the second moment and the first moment is within a second preset range.

[0008] In one possible implementation, the execution of the second fault identification strategy further includes: Acquire a first signal during the cooling process of the superconducting magnet, the first signal including a vacuum degree reading; When the first signal is abnormal, a vacuum pump command is sent; Obtain the first signal after the vacuum pump executes the vacuum command; If the first signal after the vacuum pump executes the vacuuming command is normal, then the first sub-fault identification strategy is executed. If the first signal after the vacuum pump executes the vacuuming command is abnormal, a first abnormal situation command is sent.

[0009] In one possible implementation, executing the first sub-fault identification strategy further includes: A second signal is acquired during the cooling process of the superconducting magnet. The second signal includes a first resistance value and a second resistance value. The first resistance value includes the resistance between the positive terminal of the superconducting magnet's feed terminal and the Dewar breaker. The second resistance value includes the resistance between the negative terminal of the superconducting magnet's feed terminal and the Dewar breaker. When both the first and second resistance values ​​are normal, the second sub-fault identification strategy is executed; otherwise, a second abnormal situation command is sent.

[0010] In one possible implementation, executing the second sub-fault identification strategy further includes: Acquire a third signal during the cooling process of the superconducting magnet, the third signal including the inlet water temperature of the cooling water system; If the third signal is abnormal, a third abnormal situation command is sent.

[0011] If the third signal is normal, then the third sub-fault identification strategy is executed.

[0012] In one possible implementation, executing the third sub-fault identification strategy further includes: A fourth signal is acquired during the cooling process of the superconducting magnet, the fourth signal including the operating status of the compressor; If the fourth signal is normal, then send the fourth abnormal situation command; If the fourth signal is abnormal, a fifth abnormal situation command is sent.

[0013] In one possible implementation, the step of sending a third abnormal situation instruction if the third signal is abnormal further includes: When the third signal deviates from the third preset range, the third abnormal situation instruction is sent. The third abnormal situation instruction includes sending an instruction to the thermostat to reduce the inlet water temperature or sending an instruction to the switching valve to switch the cooling water system.

[0014] In one possible implementation, both the first abnormal situation instruction and the second abnormal situation instruction include sending an instruction to the cooling system to stop cooling and sending a notification containing abnormal information to the staff.

[0015] In one possible implementation, the first preset range is -10K to 10K, and the second preset range is 2 to 5h.

[0016] Secondly, this application discloses a fault identification device for the cooling process of a superconducting magnet, applied to a processor, the device comprising: The temperature acquisition module is used to acquire the real-time temperature during the cooling process of the superconducting magnet. If the first real-time temperature at the first moment deviates from the first theoretical temperature of the superconducting magnet, the deviation value between the first real-time temperature and the first theoretical temperature is acquired. The first theoretical temperature is the temperature corresponding to the first moment on the cooling curve. The cooling curve is used to characterize the change of temperature over time. The fault identification strategy execution module is used to perform the following operations: if the deviation value is within a first preset range, then execute a first fault identification strategy; if the deviation value is not within the first preset range, then execute a second fault identification strategy. The fault identification module is used to identify faults during the cooling process based on the first fault identification strategy and the second fault identification strategy.

[0017] The fault identification method for the cooling process of a superconducting magnet in this invention has the following advantages: By acquiring the real-time temperature of the superconducting magnet during the cooling process, and based on the deviation between the first real-time temperature and the first theoretical temperature, and according to the relationship between the deviation and the first preset range, a first fault identification strategy or a second fault identification strategy is executed, thereby realizing fault identification during the cooling process. This helps to identify abnormal situations in the superconducting magnet cooling process in a timely manner, and to a certain extent avoids the possibility of damage to the superconducting magnet due to delays in the optimal fault identification time. Moreover, the operator no longer needs to monitor the entire cooling process in real time, optimizing the operation process and improving work efficiency. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating a fault identification method for the cooling process of a superconducting magnet, provided in an embodiment of this application; Figure 2 This is a schematic diagram illustrating another embodiment of a fault identification method for the cooling process of a superconducting magnet provided in this application. Figure 3 This is a schematic diagram of the structure of a fault identification device for the cooling process of a superconducting magnet, provided in an embodiment of this application. Figure 4 This is a schematic diagram of a fault identification system for the cooling process of a superconducting magnet, provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, implementation methods and advantages of this application clearer, the exemplary implementation methods of this application will be clearly and completely described below with reference to the accompanying drawings of the exemplary embodiments of this application. Obviously, the exemplary embodiments described are only some embodiments of this application, and not all embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0021] It should be noted that the brief descriptions of terms in this application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise stated, these terms should be understood in their ordinary and common meaning.

[0022] The terms "first," "second," "third," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar or related objects or entities, and do not necessarily imply a specific order or sequence, unless otherwise specified. It should be understood that such terms are interchangeable where appropriate.

[0023] To facilitate a clear description of the technical solutions in the embodiments of this application, the superconducting magnet cooling system involved in the embodiments of this application will be briefly introduced below: The superconducting magnet cooling system includes a superconducting magnet to be cooled, a cooling water system, a refrigerator, and a vacuum pump. The superconducting magnet consists of a superconducting coil, a cold shield, and a Dewar flask. The superconducting coil and the cold shield are placed in a vacuum container (Dewar), forming a vacuum cavity between the vacuum container, the cold shield, and the coil. When cooling of the superconducting magnet is required, the outlet of the cooling water system is connected to the inlet of the compressor. The compressor is connected to the cold head of the refrigerator on the vacuum container via a helium tube. The cold head of the refrigerator is connected to the vacuum container. The vacuum pump is connected to the Dewar flask and is used to evacuate the Dewar flask. The cooling water system, compressor, and vacuum pump are all connected to the processor via electrical signals. The processor is used to execute the fault identification method for the superconducting magnet cooling process described below.

[0024] It should be noted that the cooling time for superconducting magnets is generally 48-240 hours, varying depending on the specifications. Cooling typically occurs from 300K to 4.2K or below. This temperature refers to the temperature of the superconducting magnet itself, measured by a temperature sensor connected to the superconducting coil within the magnet. Throughout the cooling process, the Dewar radiator provides a vacuum environment, facilitating uniform cooling and reducing system radiative heat leakage.

[0025] The specific cooling process for the superconducting magnet is as follows: After connecting all the components required for cooling the superconducting magnet, start the vacuum pump to evacuate the entire cooling device. When the vacuum level reaches 1.0*10... -3 At MPa (normal temperature), turn on the cooling water system and compressor, and keep the vacuum pump running continuously until the vacuum degree is ≤1.0*10 MPa. -5 At MPa, the vacuum pump shuts off, and the compressor operates normally to cool the magnet. The processor synchronously executes the following fault identification method for the superconducting magnet cooling process.

[0026] Firstly, such as Figure 1 As shown in the figure, this invention provides a fault identification method for the cooling process of a superconducting magnet, which mainly includes the following steps: Step 100: Obtain the real-time temperature during the cooling process of the superconducting magnet. If the first real-time temperature at the first moment deviates from the first theoretical temperature of the superconducting magnet, obtain the deviation value between the first real-time temperature and the first theoretical temperature. The first theoretical temperature is the temperature corresponding to the first moment on the cooling curve. The cooling curve is used to characterize the change of temperature over time.

[0027] It should be noted that cooling curves for various types of superconducting magnets can be pre-established based on the superconducting magnet model and historical cooling data, forming a database for future reference. The cooling curves characterize the temperature change over time during the cooling process of the superconducting magnet. Alternatively, as a possible implementation method, the cooling curves can also be obtained from the corresponding product manual. This embodiment does not specifically limit the method of obtaining the cooling curves for the superconducting magnet.

[0028] It is understood that the real-time temperature here refers to the temperature of the superconducting magnet, which is measured by a temperature sensor connected to the superconducting coil in the superconducting magnet. As a specific example, the frequency of obtaining the real-time temperature of the superconducting magnet can be 10 seconds / time.

[0029] Step 200: If the deviation value is within the first preset range, then execute the first fault identification strategy.

[0030] In this step, the first preset range can be selected as an appropriate empirical value based on the actual application scenario. As a specific example, the first preset range can be -10K to 10K. Combined with... Figure 2 As shown, the first fault identification strategy here further includes: The second real-time temperature at the second moment is obtained. When the second real-time temperature deviates from the second theoretical temperature, the second fault identification strategy is executed. The second theoretical temperature is the temperature corresponding to the second moment on the cooling curve, and the difference between the second moment and the first moment is within a second preset range.

[0031] Understandably, the second preset range can also be selected based on the actual application scenario and appropriate empirical values. As a specific example, the second preset range can be 2-5h, for example, the second time can be 2.5h.

[0032] When the second real-time temperature does not deviate from the second theoretical temperature, it indicates that the cooling process of the superconducting magnet is normal (i.e., it is considered to be without abnormality), and cooling can continue. The processor continuously monitors the cooling process.

[0033] Step 300: If the deviation value is not within the first preset range, then execute the second fault identification strategy.

[0034] Step 400: Based on the first fault identification strategy and the second fault identification strategy, fault identification is achieved during the cooling process.

[0035] Specifically, when the second real-time temperature deviates from the second theoretical temperature, a second fault identification strategy is executed, which further includes: Acquire the first signal during the cooling process of the superconducting magnet, the first signal including the vacuum degree reading; When the first signal is abnormal, a vacuum pump command is sent; Obtain the first signal after the vacuum pump executes the vacuuming command; If the first signal after the vacuum pump executes the vacuuming command is normal, then the first sub-fault identification strategy is executed. If the first signal after the vacuum pump executes the vacuuming command is abnormal, a first abnormal situation command is sent.

[0036] Understandably, in this step, when the first signal obtained is ≥1.0*10 -5 When the pressure reaches MPa, a vacuum pump command is sent. Upon receiving the command, the vacuum pump starts, performs a second vacuum pumping operation, and then shuts down. If the first signal after the vacuum pump executes the vacuum pump command is normal, meaning the vacuum level after the second vacuum pumping is less than 1.0*10 MPa... -5 If the pressure is within MPa, it indicates that the vacuum pump is operating normally, and the processor executes the first sub-fault identification strategy. If the first signal after the vacuum pump executes the vacuuming command is abnormal, i.e., the vacuum level after the second vacuuming is still ≥1.0*10 MPa, then the processor will execute the first sub-fault identification strategy. -5 When the pressure reaches a certain level (MPa), it indicates an abnormal operating state of the vacuum pump, requiring the issuance of a first abnormal situation command. This command may include issuing a command to stop cooling, halting the cooling process of the superconducting magnet, sending a notification containing the first signal abnormality information to the responsible person, and potentially sending an alarm command to the alarm system. This facilitates reporting the abnormal cooling process to the operator and promptly notifying them to resolve the issue on-site.

[0037] It should be noted that when the deviation value is not within the first preset range, it indicates that the superconducting magnet cooling system at the first moment has malfunctioned. The processor needs to execute the second fault identification strategy to identify the fault node in the superconducting magnet cooling system. At this time, the steps of the processor executing the second fault identification strategy are the same as the steps of the processor executing the second fault identification strategy when the second real-time temperature deviates from the second theoretical temperature, and will not be repeated here.

[0038] The aforementioned first sub-fault identification strategy further includes: acquiring a second signal during the cooling process of the superconducting magnet, the second signal including a first resistance value and a second resistance value, the first resistance value including the resistance between the positive terminal of the superconducting magnet's feed terminal and the Dewar, and the second resistance value including the resistance between the negative terminal of the superconducting magnet's feed terminal and the Dewar. If both the first and second resistance values ​​are normal, execute the second sub-fault identification strategy; otherwise, send the second abnormal situation command.

[0039] It should be noted that in this embodiment, "both the first and second resistance values ​​are normal" means that both the first and second resistance values ​​are in the megaohm range. In this case, the second sub-fault identification strategy is executed. If at least one of the first and second resistance values ​​is in the kiloohm range, it is considered a second signal abnormality, indicating that the superconducting magnet may have contact issues or an abnormal vacuum environment. In this case, a second abnormal situation command is sent. The second abnormal situation command may include sending a command to stop cooling, so that the superconducting magnet cooling system stops the cooling process, and sending a notification containing the second signal abnormality information to the person in charge. It may also include sending an alarm command to the alarm device so that the operator can rush to the scene in time to handle the situation.

[0040] The aforementioned second sub-fault identification strategy further includes: Acquire a third signal during the cooling process of the superconducting magnet, including the inlet water temperature of the cooling water system; If the third signal is abnormal, a third abnormality command is sent. This command can include sending a command to the cooling water system's thermostat to lower the inlet water temperature. Upon receiving the command, the thermostat can lower the cooling water temperature according to a predetermined cooling program. Alternatively, it can send a command to the cooling water switching valve to switch to the new cooling water system. In other specific examples, the third abnormality command may also include sending a notification containing information about the third signal abnormality to the responsible person.

[0041] If the third signal is normal, the third sub-fault identification strategy is executed. It should be noted that for the third signal to be normal, it should be within the third preset range (4-28℃). If the third signal deviates from the third preset range, it is considered abnormal. The execution of the third sub-fault identification strategy in this process further includes: A fourth signal is acquired during the cooling process of the superconducting magnet, including the operating status of the compressor; If the fourth signal is normal, a fourth abnormal situation command is sent; if the fourth signal is abnormal, a fifth abnormal situation command is sent. It can be understood that if any of the operating parameters during the compressor's operation is abnormal, the compressor's operating state is abnormal, and the processor can directly obtain the specific abnormal information of the compressor. The fourth abnormal situation command may include sending a command to stop cooling, causing the superconducting magnet cooling system to stop the cooling process, and sending a notification to the person in charge containing information that the cooling process has stopped. It may also include sending an alarm command to the alarm device. In this case, the operator needs to go to the site in a timely manner to manually troubleshoot the fault in the superconducting magnet cooling system. The fifth abnormal situation command may include sending a command to stop cooling, causing the superconducting magnet cooling system to stop the cooling process, and sending a notification to the person in charge containing information about the fourth signal abnormality. It may also include sending an alarm command to the alarm device. In this case, the operator can learn the location of the compressor fault through the notification sent by the processor.

[0042] It should also be noted that, as a specific example, the receiving frequency of the first, second, third, and fourth signals can all be 30 seconds, and all acquired data can be saved as a dataset for the operator to view later.

[0043] Throughout the entire process, the processor can monitor the cooling process of the superconducting magnet in real time, promptly identify faults, send notifications to the operator, and timely shut down the cooling process. This helps reduce the possibility of delays in optimal fault handling due to the operator's inability to detect faults in time, which could lead to prolonged cooling time or magnet damage. After receiving a notification containing abnormal information from the processor or hearing an alarm, the operator can go to the site, make corresponding adjustments, reset the cooling starting point, and restart the cooling process. Furthermore, the operator no longer needs to be present throughout the entire cooling process; they only need to wait for a notification containing abnormal information from the processor or hear an alarm before returning to the operation site. This optimizes the workflow and improves operator efficiency.

[0044] Secondly, based on the aforementioned fault identification method for the cooling process of superconducting magnets, and employing the same technical concept, this application also provides a fault identification device for the cooling process of superconducting magnets, corresponding to the aforementioned fault identification method. The solution provided by this device is similar to the solution described in the above-mentioned method embodiments.

[0045] Specifically, such as Figure 3 As shown, a fault identification device for the cooling process of a superconducting magnet, applied to a processor, includes: The temperature acquisition module is used to acquire the real-time temperature during the cooling process of the superconducting magnet. If the first real-time temperature at the first moment deviates from the first theoretical temperature of the superconducting magnet, the deviation value between the first real-time temperature and the first theoretical temperature is acquired. The first theoretical temperature is the temperature corresponding to the first moment on the cooling curve. The cooling curve is used to characterize the change of temperature over time.

[0046] The fault identification strategy execution module is used to perform the following operations: if the deviation value is within the first preset range, the first fault identification strategy is executed; if the deviation value is not within the first preset range, the second fault identification strategy is executed.

[0047] The fault identification module is used to identify faults during the cooling process based on the first fault identification strategy and the second fault identification strategy.

[0048] Specific limitations regarding the fault identification device for the superconducting magnet cooling process can be found in the limitations of the fault identification method for the superconducting magnet cooling process described above, and will not be repeated here. Each module in the aforementioned fault identification device for the superconducting magnet cooling process can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0049] like Figure 4 As shown, in a third aspect, this application provides a fault identification system for the cooling process of a superconducting magnet, including a processor, a memory, a communication interface, and a communication bus. The memory and the communication interface communicate with each other through the communication bus. The memory is used to store at least one processor-executable instruction. The processor is used to read the executable instruction from the memory and execute the instruction to implement the above-described fault identification method for the cooling process of a superconducting magnet.

[0050] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0051] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for fault identification during the cooling process of a superconducting magnet, characterized in that, include: The real-time temperature of the superconducting magnet during the cooling process is obtained. If the first real-time temperature at the first moment deviates from the first theoretical temperature of the superconducting magnet, the deviation value between the first real-time temperature and the first theoretical temperature is obtained. The first theoretical temperature is the temperature corresponding to the first moment on the cooling curve. The cooling curve is used to characterize the change of temperature over time. If the deviation value is within the first preset range, then the first fault identification strategy is executed; If the deviation value is not within the first preset range, then the second fault identification strategy is executed; Based on the first fault identification strategy and the second fault identification strategy, fault identification is achieved during the cooling process.

2. The method for fault identification during the cooling process of a superconducting magnet according to claim 1, characterized in that, The execution of the first fault identification strategy further includes: The second real-time temperature at the second moment is obtained. When the second real-time temperature deviates from the second theoretical temperature, the second fault identification strategy is executed. The second theoretical temperature is the temperature corresponding to the second moment on the cooling curve, and the difference between the second moment and the first moment is within a second preset range.

3. The method for fault identification during the cooling process of a superconducting magnet according to claim 2, characterized in that, The execution of the second fault identification strategy further includes: Acquire a first signal during the cooling process of the superconducting magnet, the first signal including a vacuum degree reading; When the first signal is abnormal, a vacuum pump command is sent; Obtain the first signal after the vacuum pump executes the vacuum command; If the first signal after the vacuum pump executes the vacuuming command is normal, then the first sub-fault identification strategy is executed. If the first signal after the vacuum pump executes the vacuuming command is abnormal, a first abnormal situation command is sent.

4. The method for fault identification during the cooling process of a superconducting magnet according to claim 3, characterized in that, The execution of the first sub-fault identification strategy further includes: A second signal is acquired during the cooling process of the superconducting magnet. The second signal includes a first resistance value and a second resistance value. The first resistance value includes the resistance between the positive terminal of the superconducting magnet's feed terminal and the Dewar breaker. The second resistance value includes the resistance between the negative terminal of the superconducting magnet's feed terminal and the Dewar breaker. When both the first and second resistance values ​​are normal, the second sub-fault identification strategy is executed; otherwise, a second abnormal situation command is sent.

5. The method for fault identification during the cooling process of a superconducting magnet according to claim 4, characterized in that, The execution of the second sub-fault identification strategy further includes: Acquire a third signal during the cooling process of the superconducting magnet, the third signal including the inlet water temperature of the cooling water system; If the third signal is abnormal, a third abnormal situation command is sent; If the third signal is normal, then the third sub-fault identification strategy is executed.

6. The method for fault identification during the cooling process of a superconducting magnet according to claim 5, characterized in that, The execution of the third sub-fault identification strategy further includes: A fourth signal is acquired during the cooling process of the superconducting magnet, the fourth signal including the operating status of the compressor; If the fourth signal is normal, then send the fourth abnormal situation command; If the fourth signal is abnormal, a fifth abnormal situation command is sent.

7. The method for fault identification during the cooling process of a superconducting magnet according to claim 5, characterized in that, The step of sending a third abnormal situation instruction if the third signal is abnormal further includes: When the third signal deviates from the third preset range, the third abnormal situation instruction is sent. The third abnormal situation instruction includes sending an instruction to the thermostat to reduce the inlet water temperature or sending an instruction to the switching valve to switch the cooling water system.

8. The method for fault identification during the cooling process of a superconducting magnet according to claim 4, characterized in that, Both the first abnormal situation instruction and the second abnormal situation instruction include sending an instruction to the cooling system to stop cooling and sending a notification containing abnormal information to the staff.

9. The method for fault identification during the cooling process of a superconducting magnet according to claim 2, characterized in that, The first preset range is -10K to 10K, and the second preset range is 2 to 5h.

10. A fault identification device for the cooling process of a superconducting magnet, characterized in that, Applied to a processor, the device includes: The temperature acquisition module is used to acquire the real-time temperature during the cooling process of the superconducting magnet. If the first real-time temperature at the first moment deviates from the first theoretical temperature of the superconducting magnet, the deviation value between the first real-time temperature and the first theoretical temperature is acquired. The first theoretical temperature is the temperature corresponding to the first moment on the cooling curve. The cooling curve is used to characterize the change of temperature over time. The fault identification strategy execution module is used to perform the following operations: if the deviation value is within a first preset range, then execute a first fault identification strategy; if the deviation value is not within the first preset range, then execute a second fault identification strategy. The fault identification module is used to identify faults during the cooling process based on the first fault identification strategy and the second fault identification strategy.

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