Heating element test method, equipment, medium, equipment and product

Abstract

The invention belongs to the technical field of electric heating element testing, and provides a heating element testing method and device, a medium, a device and a product, and the heating element testing method comprises the steps: controlling a heating element to be heated to a preset temperature value from an initial temperature value in response to a received heating test instruction; in response to the received water cooling test instruction, controlling the circulating water cooling system to perform spray cooling treatment on the surfaces of all or part of the heating elements, and / or performing immersion cooling treatment on the heating elements; acquiring first performance information of the heating element monitored in the heating test stage and second performance information of the heating element monitored in the water cooling test stage; and outputting third performance information of the heating element according to the first performance information and the second performance information.

Description

Technical Field

[0001] The present application belongs to the technical field of electric heating element testing, and more specifically, relates to a testing method, equipment, medium, equipment and product for a heating element. Background Art

[0002] In the field of electric heating element technology, heating elements are widely used due to their high heating efficiency and compact structure. However, traditional testing mostly adopts a single testing method when testing heating elements, which makes it difficult to reproduce the complex working conditions often faced by heating elements in actual applications. It is difficult to fully evaluate the performance of the heating element, such as the density of the dielectric layer. As a result, mass-produced heating elements frequently suffer from problems such as cracking, leakage, and failure in actual use. Therefore, there is an urgent need to improve the performance testing scheme for heating elements. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide a testing method, device, medium, equipment and product for a heating element, aiming to solve the technical problem that the reliability of the heating element cannot be fully evaluated due to inaccurate test conditions of traditional testing schemes.

[0004] To achieve the above objectives, according to a first aspect of the present application, a method for testing a heating element is provided, the method comprising: In response to receiving a heating test instruction, controlling the heating element to heat up from an initial temperature value to a predetermined temperature value; In response to receiving a water cooling test instruction, controlling the circulating water cooling system to perform a spray cooling process on the surface of all or part of the heating element, and / or to perform an immersion cooling process on the heating element; Acquiring first performance information of the heating element monitored during the heating test phase, and second performance information of the heating element monitored during the water cooling test phase; The third performance information of the heating element is outputted according to the first performance information and the second performance information.

[0005] In one possible implementation, in response to receiving a heating test instruction, controlling the heating element to heat up from an initial temperature value to a predetermined temperature value includes: In response to receiving a heating test instruction, controlling the controllable power supply to supply power to the heating element at a constant power or a gradient power; Determine the heating rate of the heating element according to constant power or gradient power; According to the heating rate, the heating element is controlled to heat up from the initial temperature value to the predetermined temperature value.

[0006] In one possible implementation, controlling the circulating water cooling system to spray cooling on the surface of all or part of the heating element and immersing the heating element in cooling includes: Control the heating element to slide towards the circulating water cooling system; When the heating element slides toward the circulating water cooling system, the circulating water cooling system is controlled to spray and cool the surface of all or part of the heating element, and After the heating element has completely slid into the circulating water cooling system, the circulating water cooling system is controlled to perform immersion cooling on the heating element.

[0007] In one possible implementation, while the heating element is sliding toward the circulating water cooling system, controlling the circulating water cooling system to spray and cool the surface of all or part of the heating element includes: During the process of the heating element sliding toward the circulating water cooling system, obtaining a predetermined spray control parameter, wherein the predetermined spray control parameter includes at least one of a predetermined water temperature and a predetermined flow rate; According to the predetermined spray control parameters, the circulating water cooling system is controlled to spray and cool the surfaces of all or part of the heating elements.

[0008] In a possible implementation, outputting third performance information of the heating element according to the first performance information and the second performance information includes: Performing a coupled analysis on the real-time temperature value and temperature change rate in the first performance information and the temperature change rate in the second performance information to obtain a temperature field fluctuation curve of the heating element; Performing a time series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine the insulation failure risk index of the heating element under thermal-water coupling stress; Based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; According to the preset performance evaluation model, the temperature field fluctuation curve, insulation failure risk index, crack propagation path and porosity change trend are weightedly calculated to generate a comprehensive performance evaluation report of the heating element as the third performance information.

[0009] In a possible implementation, outputting third performance information of the heating element according to the first performance information and the second performance information includes: Cross-validating the real-time temperature value in the first performance information and the temperature change rate in the second performance information to obtain the temperature response time of the heating element during the thermal shock process; Performing a time series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine the insulation failure risk index of the heating element under thermal-water coupling stress; Based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; According to the preset performance evaluation model, weighted calculation is performed based on the temperature response time, insulation failure risk index, crack propagation path and porosity change trend to generate a comprehensive performance evaluation report of the heating element as the third performance information.

[0010] In one possible implementation, in response to receiving a water cooling test instruction, controlling the circulating water cooling system to perform a spray cooling process on the surface of all or part of the heating element and an immersion cooling process on the heating element includes: In response to receiving a water cooling test instruction, controlling the guide rail motor to slide the support rod to a first predetermined position, wherein the support rod is slidably disposed on the guide rail motor and at least one heating element to be tested is fixed on the support rod; After controlling the guide rail motor to slide the support rod to the first predetermined position, controlling the circulating water cooling system to spray and cool the surfaces of all or part of the heating elements; After the spray cooling process is completed, the guide rail motor is controlled to slide the support rod to a second predetermined position; After the guide rail motor is controlled to slide the support rod to the second predetermined position, the circulating water cooling system is controlled to perform immersion cooling on the heating element.

[0011] In one possible implementation, after controlling the heating element to heat up from an initial temperature value to a predetermined temperature value, the method further includes: Controlling the heating element to maintain a predetermined temperature value within a predetermined time period; After the preset time period, respond to the water cooling test instruction and enter the water cooling test phase.

[0012] In one possible implementation, the first performance information includes at least one of a real-time temperature value, a temperature change rate, a leakage current value, surface morphology information, and an internal porosity; The second performance information includes at least one of a real-time temperature value, an insulation resistance change rate, a temperature change rate, a leakage current value, surface morphology information, and an internal porosity.

[0013] In one possible implementation, during the heating test phase and the water cooling test phase, the method further includes at least one of the following: Control the infrared thermal imager to detect the real-time temperature value of the heating element; Control the leakage current detector to detect the leakage current value of the heating element; Control the insulation resistance tester to detect the insulation resistance change rate of the heating element; Control the industrial camera to capture the surface morphology information of the heating element; controlling the ultrasonic flaw detector to detect at least one of the internal porosity of the heating element; The temperature change rate of the heating element is determined according to the real-time temperature value of the heating element.

[0014] According to a second aspect of the present application, a testing device for a heating element is provided, comprising at least a controller and a circulating water cooling system, wherein the controller is configured to perform: In response to receiving a heating test instruction, controlling the heating element to heat up from an initial temperature value to a predetermined temperature value; In response to receiving a water cooling test instruction, controlling the circulating water cooling system to perform a spray cooling process on the surface of all or part of the heating element, and / or to perform an immersion cooling process on the heating element; Acquiring first performance information of the heating element monitored during the heating test phase, and second performance information of the heating element monitored during the water cooling test phase; The third performance information of the heating element is outputted according to the first performance information and the second performance information.

[0015] In a possible implementation, the testing equipment for the heating element further includes: an infrared thermal imager, a leakage current detector, an industrial camera, and an ultrasonic flaw detector, each of which is connected to the controller; During the heating test phase and the water cooling test phase, the controller is further configured to perform at least one of the following: Control the infrared thermal imager to detect the real-time temperature value of the heating element; Control the leakage current detector to detect the leakage current value of the heating element; Control the insulation resistance tester to detect the insulation resistance change rate of the heating element; Control the industrial camera to capture the surface morphology information of the heating element; controlling the ultrasonic flaw detector to detect at least one of the internal porosity of the heating element; The temperature change rate of the heating element is determined according to the real-time temperature value of the heating element.

[0016] In one possible implementation, the controller is further configured to execute: In response to receiving a water cooling test instruction, controlling the guide rail motor to slide the support rod to a first predetermined position, wherein the support rod is slidably disposed on the guide rail motor and at least one heating element to be tested is fixed on the support rod; After controlling the guide rail motor to slide the support rod to the first predetermined position, controlling the circulating water cooling system to spray and cool the surfaces of all or part of the heating elements; After the spray cooling process is completed, the guide rail motor is controlled to slide the support rod to a second predetermined position; After the guide rail motor is controlled to slide the support rod to the second predetermined position, the circulating water cooling system is controlled to perform immersion cooling on the heating element.

[0017] In one possible implementation, the controller is further configured to execute: In response to receiving a heating test instruction, controlling the controllable power supply to supply power to the heating element at a constant power or a gradient power; Determine the heating rate of the heating element according to constant power or gradient power; According to the heating rate, the heating element is controlled to heat up from the initial temperature value to the predetermined temperature value.

[0018] In one possible implementation, the controller is further configured to execute: Control the heating element to slide towards the circulating water cooling system; When the heating element slides toward the circulating water cooling system, the circulating water cooling system is controlled to spray and cool the surface of all or part of the heating element, and After the heating element has completely slid into the circulating water cooling system, the circulating water cooling system is controlled to perform immersion cooling on the heating element.

[0019] In one possible implementation, while the heating element is sliding toward the circulating water cooling system, controlling the circulating water cooling system to spray and cool the surface of all or part of the heating element includes: During the process of the heating element sliding toward the circulating water cooling system, obtaining a predetermined spray control parameter, wherein the predetermined spray control parameter includes at least one of a predetermined water temperature and a predetermined flow rate; According to the predetermined spray control parameters, the circulating water cooling system is controlled to spray and cool the surfaces of all or part of the heating elements.

[0020] In one possible implementation, the controller is further configured to execute: Performing a coupled analysis on the real-time temperature value and temperature change rate in the first performance information and the temperature change rate in the second performance information to obtain a temperature field fluctuation curve of the heating element; Performing a time series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine the insulation failure risk index of the heating element under thermal-water coupling stress; Based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; According to the preset performance evaluation model, the temperature field fluctuation curve, insulation failure risk index, crack propagation path and porosity change trend are weightedly calculated to generate a comprehensive performance evaluation report of the heating element as the third performance information.

[0021] In one possible implementation, the controller is further configured to execute: Cross-validating the real-time temperature value in the first performance information and the temperature change rate in the second performance information to obtain the temperature response time of the heating element during the thermal shock process; Performing a time series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine the insulation failure risk index of the heating element under thermal-water coupling stress; Based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; According to the preset performance evaluation model, weighted calculation is performed based on the temperature response time, insulation failure risk index, crack propagation path and porosity change trend to generate a comprehensive performance evaluation report of the heating element as the third performance information.

[0022] In one possible implementation, the first performance information includes at least one of a real-time temperature value, a temperature change rate, a leakage current value, surface morphology information, and an internal porosity; The second performance information includes at least one of a real-time temperature value, an insulation resistance change rate, a temperature change rate, a leakage current value, surface morphology information, and an internal porosity.

[0023] The second aspect and any implementation of the second aspect correspond to the first aspect and any implementation of the first aspect, respectively. The technical effects corresponding to the second aspect and any implementation of the second aspect can be referred to the technical effects corresponding to the first aspect and any implementation of the first aspect, and will not be repeated here.

[0024] According to a third aspect of the present application, an electronic device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the electronic device implements any one of the methods.

[0025] According to a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, any one of the methods is implemented.

[0026] According to a fifth aspect of the present application, a computer program product is provided. When the computer program product is run on an electronic device, the electronic device executes any one of the methods in the first aspect.

[0027] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0028] Compared with the prior art, the embodiments of the present application have the following beneficial effects: The heating element testing equipment provided in the embodiment of the present application controls the heating element under test and the circulating water cooling system through a controller, thereby realizing a full-process automated test of the heating element, from thermal shock simulation to rapid water cooling simulation, and then to performance quantitative evaluation. This improves the consistency between the temperature changes of the simulated test conditions of the heating element and the actual conditions (for example, rapid heating and cooling), thereby enabling a comprehensive and accurate evaluation of the reliability of the heating element. This solves the problem of inaccurate test conditions in traditional testing schemes that makes it impossible to comprehensively evaluate the reliability of the heating element, and provides support for the industrial upgrading of heating elements. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0030] Figure 1 1 is a schematic structural diagram of a testing device for a heating element provided in an embodiment of the present application; Figure 2 This is a schematic structural diagram of an optional heating element testing device provided in an embodiment of the present application; Figure 3 This is a flow chart of an optional heating element testing step provided in an embodiment of the present application; Figure 4 1 is a flow chart of an optional method for testing a heating element provided in an embodiment of the present application; Figure 5 1 is a flow chart of an optional method for testing a heating element provided in an embodiment of the present application; Figure 6 1 is a flow chart of an optional method for testing a heating element provided in an embodiment of the present application; Figure 7 1 is a flow chart of an optional method for testing a heating element provided in an embodiment of the present application; Figure 81 is a flow chart of an optional method for testing a heating element provided in an embodiment of the present application; Figure 9 1 is a flow chart of an optional method for testing a heating element provided in an embodiment of the present application; Figure 10 1 is a schematic structural diagram of an optional heating element testing device provided in an embodiment of the present application; Figure 11 This is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0032] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0033] It should also be understood that, unless otherwise specified, the use of " / " in this specification and the appended claims indicates an "or" relationship between the associated items. For example, A / B can mean either A or B. "And / or" in this application merely describes an association between associated items, indicating that three possible relationships exist. For example, "A and / or B" can mean: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, unless otherwise specified, "plurality" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of a, b, or c" can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0034] In addition, to facilitate a clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity or execution order, but are only used to distinguish the description. In addition, words such as "first" and "second" do not necessarily define differences, nor should they be understood to indicate or imply relative importance.

[0035] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0036] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0037] The present application provides an embodiment of a testing device for a heating element. Please refer to Figure 1 As shown, Figure 1 The schematic structure diagram of a heating element testing device provided by the present application is shown. The heating element testing device includes at least a controller 100 and a circulating water cooling system 200, wherein the controller 100 is configured to perform: In response to receiving a heating test instruction, the heating element is controlled to heat up from an initial temperature value to a predetermined temperature value; in response to receiving a water cooling test instruction, the circulating water cooling system is controlled to spray cool the surface of all or part of the heating element, and / or immerse the heating element in cooling; first performance information of the heating element monitored during the heating test phase and second performance information of the heating element monitored during the water cooling test phase are obtained; and third performance information of the heating element is output based on the first performance information and the second performance information.

[0038] In some embodiments, the controller may be, but is not limited to, a programmable logic controller (PLC) or an industrial computer, etc. The controller may be communicatively connected to the heating element to be tested, and may also be communicatively connected to the circulating water cooling system and other components in the test equipment.

[0039] In some embodiments, the circulating water cooling system includes a water pump, a heat exchanger, a refrigeration unit, a spray head array and a water cooling tank (immersion tank). The water flow path is controlled by an electric valve, and two cooling treatment modes of spray cooling and immersion cooling can be achieved for the heating element.

[0040] In some embodiments, the heating unit is pre-connected to an external controllable power supply (such as a high-frequency induction power supply or a PWM adjustable power supply), which is connected to the heating element through a potential clamp and supplies power. For example, the output power of the controllable power supply can be adjusted in the range of 0-10kW.

[0041] In some optional embodiments, after receiving a heating test instruction (for example, the user clicks a test start button, or the user turns on a power switch of a controllable power supply, etc.), the controller controls the heating element to heat up from an initial temperature value to a predetermined temperature value. For example, the heating element is controlled to heat up rapidly at a power of 5kW in the initial stage (such as the stage before heating to 300°C), and is reduced to 2kW to maintain a constant temperature during the maintenance stage (such as heating to close to the target temperature of 400°C).

[0042] In some optional embodiments, during the heating test of the heating element, the controller can control the temperature monitoring sensor to monitor the real-time temperature value of the heating element, and then calculate the temperature change rate during the heating test stage / period (such as the sudden rise rate ≥ 40°C / s); it can also control the electrical parameter monitoring sensor to monitor the leakage current value, insulation performance change rate, etc. of the heating element; it can also control the morphology monitoring sensor to capture the surface cracks (such as the crack initiation and expansion process) and internal porosity of the heating element; it can also control the leakage current detector, insulation resistance tester and other electrical parameter monitoring sensors, which are respectively used to detect the leakage current value and insulation resistance change rate of the heating element.

[0043] In some optional embodiments, after the heating element reaches a predetermined temperature and stabilizes (e.g., maintaining the predetermined temperature for a predetermined period of time), the controller receives a water cooling test instruction and first controls the circulating water cooling system to activate a spray mode, spraying the heating element. For example, the circulating water cooling system's array of sprinkler heads can be controlled to activate in a predetermined sequence / timeline (e.g., top → middle → bottom) to spray water onto the heating element. For another example, the set water temperature of the sprinkler head array can be controlled within a range of 10-30°C, and the set flow rate of the sprinkler head array can be controlled within an adjustable range of 0.5-5 L / min.

[0044] In some optional embodiments, after the heating element is sprayed for 10-30 seconds, the controller can control the guide rail motor to drive the heating element (located directly above the water cooling tank) to slide vertically downward until the heating element is completely immersed in the coolant (e.g., water) in the water cooling tank to perform immersion cooling treatment on the heating element. For example, the immersion cooling treatment can be, but is not limited to, lasting for 20-60 seconds.

[0045] In some optional embodiments, during the water cooling test of the heating element, the controller can control the temperature monitoring sensor to monitor the real-time temperature value of the heating element, and then calculate the temperature change rate during the water cooling test stage / period (such as the sudden drop rate ≥ 50°C / s). It can also control the electrical parameter monitoring sensor to monitor the leakage current value, insulation performance change rate, etc. of the heating element; it can also control the morphology monitoring sensor to capture the surface cracks (such as the crack initiation and expansion process) and internal porosity of the heating element; it can also control the leakage current detector, insulation resistance tester and other electrical parameter monitoring sensors to detect the leakage current value and insulation resistance change rate of the heating element, respectively.

[0046] In some embodiments, the above-mentioned testing equipment may further include a temperature monitoring sensor such as an infrared thermal imager and a thermocouple for collecting the real-time temperature value of the heating element, for example, the surface temperature field distribution of the heating element.

[0047] In some embodiments, the above-mentioned testing equipment may further include electrical parameter monitoring sensors such as a leakage current detector and an insulation resistance tester, which are used to detect the leakage current value and the insulation resistance change rate of the heating element respectively.

[0048] In some embodiments, the above-mentioned testing equipment may also include high-speed industrial cameras (for example, frame rate ≥ 200fps), ultrasonic flaw detectors and other morphology monitoring sensors to monitor or collect surface cracks and internal porosity of the heating element respectively.

[0049] In some embodiments, the controller obtains first performance information of the heating test phase (for example, including at least one of the real-time temperature value, temperature change rate, leakage current value, surface morphology information, and internal porosity) from the above-mentioned sensors, and second performance information of the water cooling test phase (for example, including at least one of the real-time temperature value, insulation resistance change rate, temperature change rate, leakage current value, surface morphology information (such as micro-deformation caused by thermal expansion), and internal porosity).

[0050] In some embodiments, the controller performs data coupling analysis on the first and second performance information to achieve a quantitative assessment of the comprehensive performance of the heating element. For example, this may include, but is not limited to, determining the heating element's temperature field fluctuation curve, insulation failure risk index, crack propagation path, and porosity variation trend. In some embodiments, the controller may also perform a weighted calculation on the aforementioned multiple parameters based on a preset performance evaluation model (e.g., temperature stability 40%, insulation reliability 30%, and structural integrity 30%) to determine and output third performance information for the heating element. For example, this may include a comprehensive performance evaluation report that includes information such as a grade rating (A, B, C, D), failure risk warning, and process optimization recommendations.

[0051] For example, the controller can correlate the peak temperature of the heating element during the heating test phase with the temperature change rate of the heating element during the water cooling test phase, analyze the thermal stress concentration area of ​​the heating element, and obtain a temperature field fluctuation curve. For another example, the controller can also combine the leakage current value of the heating element with the insulation resistance change rate for analysis to quantify the insulation failure risk of the heating element. For another example, the controller obtains a surface image of the heating element taken by an industrial camera, processes the surface image using an edge detection algorithm to identify microcracks on the surface of the heating element (with an accuracy of 0.01mm), and uses an ultrasonic flaw detector to emit X-rays to detect changes in porosity inside the heating element. Taking the above-mentioned heating element as a heating tube (such as a thick film heating tube, a quartz glass thick film heating tube, etc.) as an example, after a certain heating tube undergoes a water cooling test, the surface of the heating tube has no cracks and the internal porosity has not increased.

[0052] The heating element testing equipment provided in the embodiment of the present application controls the heating element under test and the circulating water cooling system through a controller, thereby realizing a full-process automated test of the heating element, from thermal shock simulation to rapid water cooling simulation, and then to performance quantitative evaluation. This improves the consistency between the temperature changes of the simulated test conditions and the actual conditions (rapid heating and cooling) of the heating element, thereby enabling a comprehensive and accurate evaluation of the reliability of the heating element. This solves the problem of the inaccurate test conditions of traditional testing schemes leading to the inability to comprehensively evaluate the reliability of the heating element, and provides support for the industrial upgrading of heating elements.

[0053] Through the above optional implementation methods, the testing equipment provided by the embodiment of the present invention can break through the limitations of traditional single parameter testing schemes, and by comprehensively evaluating the performance information of heating elements, thereby improving the product qualification rate of heating elements and effectively improving the reliability and production efficiency of heating elements.

[0054] In one possible implementation, the controller is further configured to execute: In response to receiving a heating test instruction, the controllable power supply is controlled to supply power to the heating element at a constant power or a gradient power; the heating rate of the heating element is determined according to the constant power or the gradient power; and the heating element is controlled to heat up from an initial temperature value to a predetermined temperature value according to the heating rate.

[0055] In some embodiments, after receiving the heating test instruction, the controller can select the power mode and configure the parameters. The controller retrieves the corresponding power control mode (constant power or gradient power) and related parameters from the stored parameter library according to the preset test conditions. For example, if a basic performance test is performed on a heating element, a constant power mode can be selected, and the power value range can be set to 1-5kW (which can be adjusted according to the specifications of the heating element); if the heating element is tested under simulated actual working conditions, a gradient power mode can be used, such as rapidly increasing the temperature at maximum power in the initial stage (such as 5kW), and reducing the power (such as 2kW) when approaching the target temperature to avoid overshoot.

[0056] Afterwards, the controller controls the infrared thermal imager to collect the current temperature value of the heating element in real time, for example, the surface temperature value of the heating element (predetermined sampling frequency ≥ 10Hz), and then calculates the ratio of the temperature difference between adjacent time points to the time interval to obtain the instantaneous heating rate of the heating element. For example, when the current temperature value of the heating element changes from When the heating rate is calculated, the formula is: .

[0057] In some optional embodiments, in constant power mode, the controller controls the controllable power supply to maintain a set power output while monitoring whether the heating element's heating rate is stable within a desired range (e.g., 100-300°C / min). If the measured heating element's heating rate is lower than the target rate within the desired range, the output power of the controllable power supply is fine-tuned. If the measured current temperature of the heating element is close to a predetermined temperature value (e.g., a deviation of ≤10°C), a PID algorithm is activated to precisely control the output power of the controllable power supply to reduce temperature fluctuations.

[0058] In some optional embodiments, in gradient power mode, the controller can dynamically adjust the output power of the controllable power supply according to a preset power-temperature curve. For example, in the initial stage (current temperature < 60% of the target temperature), the controllable power supply is controlled to output at maximum power to allow the heating element to heat up quickly. In the intermediate stage (current temperature reaches 60%-90% of the target temperature), the output power of the controllable power supply is reduced according to a linear gradient to slow the heating element's heating rate. In the final stage (current temperature exceeds 90% of the target temperature), the controllable power supply is maintained at a low power output to achieve precise temperature control.

[0059] During this process, the controller can also continuously compare the measured heating rate with the theoretical heating rate, and use the proportional integral differential algorithm to correct the power output of the controllable power supply in real time to ensure the uniformity of the temperature field distribution of the heating element (such as radial temperature difference ≤15°C).

[0060] Finally, when the current temperature of the heating element reaches the predetermined value and stabilizes within the target range (e.g., fluctuation ≤ ±2°C for 5 minutes), the controller determines that the heating test phase is complete and automatically triggers the subsequent water cooling test process. Simultaneously, the first performance information of the heating element collected by each sensor during the heating test is stored in the database for subsequent analysis coupled with the water cooling test data.

[0061] Through the above implementation, the heating process of the heating element can be accurately controlled, solving the problems of temperature overshoot and uncontrollable heating rate in traditional testing methods, and effectively improving test efficiency and data accuracy.

[0062] In one possible implementation, Figure 2 As shown, the heating element test equipment further includes: an infrared thermal imager 300, a leakage current detector 400, an industrial camera 500, and an ultrasonic flaw detector 600, which are respectively connected to the controller 100; during the heating test phase and the water cooling test phase, the controller is further configured to perform at least one of the following: Control the infrared thermal imager to detect the real-time temperature value of the heating element.

[0063] The leakage current detector is controlled to detect the leakage current value of the heating element.

[0064] The insulation resistance tester is controlled to detect the insulation resistance change rate of the heating element.

[0065] Control the industrial camera to capture the surface morphology information of the heating element.

[0066] The ultrasonic flaw detector is controlled to detect at least one of the internal porosities of the heating element.

[0067] The temperature change rate of the heating element is determined according to the real-time temperature value of the heating element.

[0068] In some embodiments, the testing equipment for the heating element of the present application is further equipped with monitoring sensors such as an infrared thermal imager, a leakage current detector, an industrial camera, and an ultrasonic flaw detector on the basis of a controller and a circulating water cooling system to form a closed-loop control system.

[0069] like Figure 3As shown, the heating element 301 is suspended above the water cooling tank 305 through a support rod 302 (slidably arranged on a guide rail 303) and a potential clamp 304. The infrared thermal imager 300 and the industrial camera 500 are symmetrically arranged (as shown in the attached figure). Figure 3 A, B, and C test steps in the test); the thermocouple 306 is used to collect the real-time temperature value of the heating element 301 in real time, and the leakage current detector 400 collects the electrical signal of the heating element 301 through the potential clamp 304; the ultrasonic flaw detector 600 is attached to the outside of the water-cooling tank 305 and penetrates to detect the internal pores of the heating element 301.

[0070] In some embodiments, the controller controls an infrared thermal imager to scan the surface of the heating element in real time (such as in test step A, the infrared thermal imager measures the temperature of the suspended heating tube), detects the current temperature value of the heating element point by point, and obtains the temperature change rate (such as the temperature difference per unit time / time interval) through algorithm fitting calculation; controls an industrial camera (such as the high-speed industrial camera in test step A) to capture the surface morphology of the heating element during the heating process (such as whether micro-deformation caused by thermal expansion occurs); controls an ultrasonic flaw detector to emit ultrasonic waves, receive echoes after penetrating the heating element, and analyze the internal porosity of the heating element.

[0071] In some embodiments, the controller drives a circulating water cooling system (such as in the A→B→C test steps, the heating element moves downward along a scaled guide motor, first spray-cooled and then immersed in cooling), and simultaneously controls the infrared thermal imager to continuously monitor the surface temperature of the heating element (such as in the B test step and the C test step, tracking the temperature drop rate of the water cooling process), and updates the temperature change rate data; controls the leakage current detector to collect the leakage current value under the water cooling environment (humidity, sudden temperature change) (compared with the heating test stage to determine the change in insulation performance); controls the industrial camera to capture the surface morphology under water cooling shock (such as in the B→C state, whether cracks are generated due to thermal shock); and controls the ultrasonic flaw detector to re-detect the internal porosity of the heating element (compared before heating / before water cooling to determine whether the heat-water coupling stress causes pore expansion).

[0072] Combined with attachment Figure 3 The control process of mid-suspension (heating test) → lowering → immersion (water cooling test) (the guide motor with a scale accurately controls the immersion depth / speed of the heating element), infrared thermal imaging, electrical testing, image recognition, ultrasonic flaw detection and other simultaneous dynamic monitoring truly reproduce the "heating-quenching-humidification" cycle of the heating element in actual use, solving the problem of disconnection between traditional test conditions and actual conditions.

[0073] The embodiments of this application break through the limitations of traditional single-parameter testing through cross-physical domain testing of infrared (temperature), electrical (leakage current), optical (surface morphology), and acoustic (internal porosity), and completely restore the performance degradation path under thermal-water coupling conditions (such as internal porosity first generated by thermal stress, then expanded into surface cracks due to water cooling shock, and ultimately causing leakage current to exceed the standard). By linking monitoring data in stages and across multiple devices, the root cause of failure of the heating element can be located (such as whether surface cracks are caused by thermal stress from uneven heating or mechanical stress from water cooling shock), providing a quantitative basis for process optimization of the heating element (such as adjusting the thickness of the dielectric layer and improving the water cooling flow rate), which can in turn support the improvement of the product reliability of the heating element.

[0074] In some embodiments, the above-mentioned infrared thermal imager can be, but is not limited to, a high-precision non-contact infrared thermal imager with a wavelength of 8-14 μm, a temperature measurement range of -20°C to 1500°C, and an accuracy of ±0.5°C (the specific values ​​in the embodiments of this application are only achievable embodiments and are not specifically limited. They can be set or modified according to actual test requirements, subject to the ability to implement the test solution provided in this application).

[0075] Optionally, the infrared thermal imager can be pre-fixed with a bracket directly above the heating element, with the monitoring area covering ≥95% of the surface of the heating element. Optionally, the infrared thermal imager is connected to the controller via a USB3.0 interface, with a sampling frequency ≥10Hz.

[0076] In some embodiments, the leakage current detector can use a microcurrent measurement module with a range of 0-10mA and a resolution of 0.01μA, which is connected in series with the ground terminal of the heating element and transmits data to the controller through a 4-20mA analog interface for real-time monitoring of the leakage current changes of the heating element.

[0077] In some embodiments, the above-mentioned industrial camera can be an industrial high-speed industrial camera with a frame rate ≥200fps and a resolution ≥1920×1080. For example, it can be installed on the side of the heating element, equipped with LED light source, and connected to the controller through a Gigabit Ethernet interface to capture the surface crack expansion process of the heating element.

[0078] In some embodiments, the ultrasonic flaw detector can be a multi-channel ultrasonic flaw detector with a frequency range of 2-10 MHz, using an ultrasonic probe array (disposed on the bottom and sides of the heating element) for non-contact testing. For example, the ultrasonic flaw detector is connected to a controller via a PCIe interface to detect changes in the internal porosity of the heating element.

[0079] In some embodiments, while controlling the heating element to heat up, the controller simultaneously starts the infrared thermal imager to collect the current surface temperature value of the heating element at a frequency of 10 Hz. It also controls the leakage current detector to monitor the current value of the heating element in real time through the potential clamp. When abnormal current fluctuations are detected (such as a rate of change > 5% / second), the controller triggers the early warning mechanism and records the corresponding temperature point. It also controls the industrial camera (such as at a frame rate of 50fps) to record the surface morphology changes of the heating element during the heating process, and identifies micro-deformations caused by thermal expansion through an image difference algorithm (accuracy ≥ 0.01mm). It also controls the ultrasonic flaw detector to emit an ultrasonic pulse to the heating element every 5 seconds, and calculates the internal porosity of the heating element by analyzing the attenuation degree of the echo signal.

[0080] In some embodiments, during the water cooling test phase, the controller can control the infrared thermal imager to switch to a 20Hz high-frequency sampling mode, focusing on monitoring the temperature drop rate during the water cooling process (e.g., target value ≥ 50°C / s) and calculating the consistency of the temperature change rate. The leakage current detector can also be controlled to continuously monitor current changes. When a current surge is detected (e.g., growth rate > 200%), the current temperature value and temperature change rate at the corresponding moment are synchronously recorded. The industrial camera can also be controlled to switch to a 200fps ultra-high-speed mode to capture the crack initiation process at the moment of spraying, and identify the crack starting position and expansion direction of the heating element through an edge detection algorithm. The ultrasonic flaw detector performs a secondary inspection after the heating element is immersed in cooling, compares the echo signals before and after heating, and calculates the porosity change multiple of the heating element.

[0081] In some embodiments, the controller calculates the temperature change rate using a time difference algorithm based on the current temperature value collected by the infrared thermal imager: Where T(t) is the current temperature, T(t-1) is the previous temperature, and Δt is the sampling interval (0.1 seconds during the heating test phase and 0.05 seconds during the water-cooling test phase). The controller compares the temperature change rate with the preset curve in real time (for example, a target rate of 100-300°C / min during the heating test phase and a target rate of ≥50°C / s during the water-cooling test phase) and dynamically adjusts the heating power or water-cooling parameters using a PID algorithm.

[0082] In one possible implementation, the controller is further configured to execute: In response to receiving a water cooling test instruction, the guide rail motor is controlled to slide the support rod to a first predetermined position, wherein the support rod is slidably arranged on the guide rail motor, and at least one heating element to be tested is fixed on the support rod; after the guide rail motor is controlled to slide the support rod to the first predetermined position, the circulating water cooling system is controlled to spray-cool the surface of all or part of the heating element; after the spray cooling treatment is completed, the guide rail motor is controlled to slide the support rod to a second predetermined position; after the guide rail motor is controlled to slide the support rod to the second predetermined position, the circulating water cooling system is controlled to immerse the heating element.

[0083] In some embodiments, in the test equipment, a scaled guide motor is mounted parallel to the water cooling tank, and a support rod is slidably connected to the guide motor via a slider (e.g. Figure 3 In the test steps A, B, and C shown, the support rod changes position with the displacement of the guide motor). The heating element is fixed to the support rod by a potential clamp (single or multiple testing is possible).

[0084] When the controller receives the water cooling test instruction, the controller controls the guide rail motor to drive the support rod to slide from the initial hanging position (such as in test step A, the heating tube is suspended above the water cooling tank) to the first predetermined position (the distance between the bottom of the heating element and the liquid level of the water cooling tank is ≤ the spray coverage height, such as 5-10cm, to ensure that the spray water curtain can cover the surface of the heating tube), such as test step A → test step B, and the support rod moves vertically.

[0085] After detecting that the support rod reaches the first predetermined position, the controller triggers the spray head array of the circulating water cooling system (such as multiple spray heads arranged above and / or on the side of the water cooling tank), and continuously sprays the surface of the heating element for a set time (such as 10-30 seconds) at a set flow rate (such as 0.5-2L / min) and a predetermined water temperature (such as 5-30°C).

[0086] After the spray cooling process is complete, the controller again controls the guide motor to drive the support rod to a second predetermined position (so that the heating element is fully aligned with the water cooling tank opening and the liquid level covers the heating tube after immersion). As in test step C, the heating element moves vertically downward to directly above the water cooling tank. During this movement, the ultrasonic flaw detector can be triggered in advance to pre-scan the changes in the heating element's internal pores after the spray (for example, to determine whether the thermal stress caused by the spray has caused pore expansion).

[0087] The controller controls the guide rail motor to drive the support rod to move downward in the vertical direction (or to move the water cooling tank upward and downward in a linked manner). After the support rod reaches the second predetermined position, the heating element is completely immersed in the water cooling tank (such as in test step C, the heating tube is completely immersed in the water cooling tank), and the cooling is continued for a set time (such as 20-60 seconds).

[0088] By controlling the spatial displacement of the heating element in hovering, spraying, and immersion through the guide rail motor, the complex scenarios of exposure, water spraying, and immersion in actual applications are realistically simulated, solving the problem of the disconnection between traditional static water cooling testing and actual working conditions. In addition, the test equipment provided in the embodiment of the present application can also support differentiated testing of single / multiple heating elements (such as fixing multiple heating elements on a support rod, partially spraying, partially immersed, etc.). By comparing the performance data of different test positions and different water cooling processes, it provides an optimization basis for the production process of the heating element (such as the uniformity of the dielectric layer coating and the design of the waterproof structure).

[0089] In one possible implementation, the controller is further configured to execute: The heating element is controlled to slide toward the circulating water cooling system; in the process of the heating element sliding toward the circulating water cooling system, the circulating water cooling system is controlled to spray cooling treatment on the surface of all or part of the heating element, and after the heating element has completely slid into the circulating water cooling system, the circulating water cooling system is controlled to immerse cooling treatment on the heating element.

[0090] In one possible implementation, during the process of the heating element sliding toward the circulating water cooling system, the circulating water cooling system is controlled to perform spray cooling treatment on the surface of all or part of the heating element, including: during the process of the heating element sliding toward the circulating water cooling system, predetermined spray control parameters are obtained, wherein the predetermined spray control parameters include at least one of a predetermined water temperature and a predetermined flow rate; according to the predetermined spray control parameters, the circulating water cooling system is controlled to perform spray cooling treatment on the surface of all or part of the heating element.

[0091] In some embodiments, the controller can retrieve predetermined spray control parameters corresponding to the test conditions from a preset database, for example: standard test conditions: predetermined water temperature 20℃±0.5℃, predetermined flow rate 2L / min±0.1L / min; extreme thermal shock conditions: predetermined water temperature 10℃±0.5℃, predetermined flow rate 4L / min±0.1L / min; the above values ​​are all embodiments, but are not limited to this.

[0092] In some embodiments, the water cooling tank of the circulating water cooling system is located at the end of the guide rail motor, the depth of the water cooling tank is ≥ 1.2 times the height of the heating element, and a built-in circulating water pump and temperature sensor are connected to an external water source through the water inlet and drained through the water outlet.

[0093] When the control controller controls the guide rail motor and the support rod drives the heating element to the bottom of the spray head array of the circulating water cooling system, the corresponding spray head is controlled to open, and the surface of part of the heating element is sprayed and cooled according to the predetermined water temperature of 20°C and the predetermined flow rate of 2L / min. As the heating element continues to slide, the corresponding spray heads are opened in sequence (such as at a time interval of 0.2 seconds) to spray and cool the surfaces of all the heating elements.

[0094] When the support rod drives the heating element to slide completely into the water cooling tank of the circulating water cooling system, that is, the heating element is completely immersed in the coolant in the water cooling tank, the circulating water pump in the water cooling tank runs at a flow rate of 30L / min to ensure uniform coolant temperature; after the immersion cooling process continues for a predetermined period of time (such as 30s), the controller controls the guide rail motor to drive the heating element on the support rod to rise to the initial suspension height, completing the cooling process.

[0095] With this implementation, the controller coordinates the mechanical movement of the heating element with the multi-stage cooling action of the circulating water cooling system to achieve continuous, gradient cooling of the heating element, realizes a gradient transition from rapid surface cooling to deep internal cooling, and realizes dynamic and precise control of the cooling process of the heating element, avoiding the thermal stress concentration problem caused by direct immersion cooling of the heating element in traditional testing schemes.

[0096] In one possible implementation, the controller is further configured to perform: coupling analysis of the real-time temperature value and temperature change rate in the first performance information and the temperature change rate in the second performance information to obtain the temperature field fluctuation curve of the heating element; performing time-series comparison of the leakage current value and insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine the insulation failure risk index of the heating element under thermal-water coupling stress; based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; according to a preset performance evaluation model, performing weighted calculation on the temperature field fluctuation curve, insulation failure risk index, crack propagation path and porosity change trend to generate a comprehensive performance evaluation report of the heating element as the third performance information.

[0097] In some embodiments, after obtaining the first performance information (test data from the heating test phase) and the second performance information (test data from the water cooling test phase), the controller performs the following steps to implement a comprehensive performance evaluation of the heating element: First, the controller aligns the real-time temperature values ​​during the heating test phase with the temperature change rate during the water-cooling test phase, generating a continuous temperature field fluctuation curve using an interpolation algorithm. The specific process involves synchronizing the temperature data collected by the infrared thermal imager during the heating test phase (e.g., with a sampling rate of 10 Hz) with the temperature change rate data during the water-cooling test phase (e.g., with a sampling rate of 20 Hz), using timestamps as indexes. The ratio of the temperature difference between adjacent time points to the time interval is calculated to obtain the instantaneous temperature change rate. After smoothing using a sliding window, a complete temperature field fluctuation curve is generated, from which characteristic parameters such as the peak temperature point, the fluctuation range of the constant temperature section, the maximum temperature change rate (e.g., a sudden drop rate ≥ 50°C / s), and its duration are extracted.

[0098] Next, the controller compares the leakage current values ​​during the heating test phase with the rate of change of insulation resistance during the water-cooling test phase to construct a risk index model. Specifically, the controller calculates the growth rate of the leakage current after water-cooling compared to before heating (e.g., growth rate = [(current after water-cooling - current before heating) / current before heating] × 100%) and analyzes the insulation resistance decay slope over time (e.g., rate of decrease per unit time). This is combined with preset thresholds (e.g., leakage current > 1mA, insulation resistance < 50MΩ) and the peak temperature point in the temperature field fluctuation curve (e.g., the insulation risk factor doubles at temperatures > 350°C) to generate an insulation failure risk index. For example, a high-risk condition is determined when the leakage current growth rate exceeds 200% and the insulation resistance decay slope is greater than 0.5MΩ / s.

[0099] Furthermore, the controller uses image recognition algorithms to extract crack propagation paths and porosity trends based on surface topography and internal porosity data from the heating and water-cooling phases. This is achieved by preprocessing the surface images captured by the industrial camera (e.g., Gaussian filtering and edge enhancement), identifying the crack initiation location (typically in the area with the maximum temperature gradient) using the frame difference method, and calculating the crack length and propagation direction using the Hough transform. Simultaneously, the ultrasonic grayscale image is thresholded, the porosity region is extracted, and its area percentage is calculated. Time series comparison is then used to quantify the porosity change from the initial value (e.g., 0.8%) to the post-water-cooling value.

[0100] Finally, based on a pre-set performance evaluation model, the controller weights the temperature field fluctuation curve, insulation failure risk index, crack propagation path, and porosity variation trend (e.g., 40% for temperature stability, 30% for insulation reliability, and 30% for structural integrity). This generates a comprehensive score, categorized as A, B, C, or D. The evaluation report includes: 1) a summary of core performance indicators (temperature response, insulation parameters, and structural defects); 2) a failure risk warning (with weak areas and potential failure modes highlighted); 3) test optimization recommendations (e.g., adjusting the heating power curve or improving the water cooling flow rate); and 4) data visualization charts (temperature field cloud diagram, insulation parameter time series diagram, and dynamic evolution diagram of the crack propagation path).

[0101] Through the above implementation method, a full-process automated evaluation from multi-dimensional data collection to failure mechanism analysis is achieved, which solves the problem that traditional testing methods only focus on a single test parameter and cannot reproduce actual working conditions, and effectively improves the test reliability and production efficiency of heating components.

[0102] In one possible implementation, the controller is further configured to perform: cross-validation of the real-time temperature value in the first performance information and the temperature change rate in the second performance information to obtain the temperature response time of the heating element during the thermal shock process; time-series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine the insulation failure risk index of the heating element under thermal-water coupling stress; based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; according to a preset performance evaluation model, weighted calculation is performed based on the temperature response time, insulation failure risk index, crack propagation path and porosity change trend to generate a comprehensive performance evaluation report of the heating element as the third performance information.

[0103] In some embodiments, the controller performs a deep coupling analysis of the first performance information during the heating test phase and the second performance information during the water cooling test phase to achieve a quantitative evaluation of the comprehensive performance of the heating element: During the data acquisition phase, the first performance information is collected during the heating test phase. An infrared thermal imager captures the surface temperature distribution of the heating element in real time, and the temperature change rate is calculated using a differential algorithm. A leakage current detector simultaneously monitors the current value in the power-on state. An industrial camera captures surface topography changes during the heating process (such as micro-deformations caused by thermal expansion). An ultrasonic flaw detector detects the initial state of internal porosity. Secondary performance information is collected simultaneously during the water cooling test phase. This includes the temperature change rate monitored by the infrared thermal imager, the resistance decay trend recorded by the insulation resistance tester, the crack initiation process captured by the industrial camera, and the pore expansion detected by the ultrasonic flaw detector.

[0104] In some embodiments, the controller performs data coupling analysis on the first and second performance information, aligning the real-time temperature values ​​during the heating test phase with the temperature change rate during the water-cooling test phase. Using an interpolation algorithm, the controller generates a continuous temperature field fluctuation curve, extracting characteristic parameters such as the peak temperature point, the fluctuation range of the constant temperature section, and the maximum temperature change rate (e.g., a sudden drop rate ≥ 50°C / s). Simultaneously, the controller performs a correlation analysis between the leakage current value during the heating test phase and the insulation resistance change rate during the water-cooling test phase, calculating the correlation between the current growth rate of the heating element and the insulation resistance change rate (e.g., when the leakage current growth rate exceeds 200%, the insulation resistance attenuation slope increases simultaneously).

[0105] In some embodiments, the controller can also use image recognition algorithms to perform frame difference analysis on the surface topography of the heating element before and after the heating test and during the water cooling process, identifying the initiation location of cracks in the heating element (typically in the area with the maximum temperature gradient) and calculating the propagation rate. Ultrasonic grayscale image comparison algorithms can also be used to quantify the change in the internal porosity of the heating element from the initial value to the post-water cooling process. For example, if a 0.05mm microcrack is detected on the surface, the temperature field distribution and porosity change in the corresponding area are simultaneously analyzed.

[0106] In some embodiments, the controller may also normalize the aforementioned characteristic parameters based on a preset weighting system (e.g., 40% for temperature stability, 30% for insulation reliability, and 30% for structural integrity), then perform a weighted calculation to determine a comprehensive score and evaluation report for the heating element. The controller may also categorize the heating element into Grade A, Grade B, Grade C, or Grade D based on the comprehensive score. In some embodiments, the evaluation report may include visual data such as temperature field cloud maps, insulation parameter time series diagrams, and crack propagation path dynamic evolution diagrams, and automatically generate decision recommendations for different grades of heating element products: for example, direct release may be recommended for Grade A products, adjustment of the heating power gradient or water cooling flow rate parameters may be recommended for Grade C products, and direct determination of unqualified products for Grade D products with traceability of production process parameters.

[0107] Through the above-mentioned implementation mode, the present invention realizes the full-process automated evaluation from multi-dimensional data collection to failure mechanism analysis, solves the problem that traditional testing methods only focus on a single test parameter and cannot reproduce actual working conditions, and effectively improves the product qualification rate and service life of heating elements.

[0108] The present application provides an embodiment of a method for testing a heating element. Figure 4 As shown, Figure 4 The following is a schematic flow chart of a method for testing a heating element provided by the present application. As an example and not a limitation, the method can be applied to or run in a heating element testing device. The method includes: S401 , in response to receiving a heating test instruction, controlling a heating element to heat up from an initial temperature value to a predetermined temperature value.

[0109] S402 , in response to receiving the water cooling test instruction, controlling the circulating water cooling system to perform spray cooling treatment on the surface of all or part of the heating elements, and / or performing immersion cooling treatment on the heating elements.

[0110] S403 : Acquire first performance information of the heating element monitored during the heating test phase, and second performance information of the heating element monitored during the water cooling test phase.

[0111] S404: Output third performance information of the heating element according to the first performance information and the second performance information.

[0112] In some embodiments, the controller may be, but is not limited to, a programmable logic controller (PLC) or an industrial computer, etc. The controller may be communicatively connected to the heating element to be tested, and may also be communicatively connected to the circulating water cooling system and other components in the test equipment.

[0113] In some embodiments, the circulating water cooling system includes a water pump, a heat exchanger, a refrigeration unit, a spray head array and a water cooling tank (immersion tank). The water flow path is controlled by an electric valve, and two cooling treatment modes of spray cooling and immersion cooling can be achieved for the heating element.

[0114] In some embodiments, the heating unit is pre-connected to an external controllable power supply (such as a high-frequency induction power supply or a PWM adjustable power supply), which is connected to the heating element through a potential clamp and supplies power. For example, the output power of the controllable power supply can be adjusted in the range of 0-10kW.

[0115] In some optional embodiments, after receiving a heating test instruction (for example, the user clicks a test start button, or the user turns on a power switch of a controllable power supply, etc.), the controller controls the heating element to heat up from an initial temperature value to a predetermined temperature value. For example, the heating element is controlled to heat up rapidly at a power of 5kW in the initial stage (such as the stage before heating to 300°C), and is reduced to 2kW to maintain a constant temperature during the maintenance stage (such as heating to close to the target temperature of 400°C).

[0116] In some optional embodiments, during the heating test of the heating element, the controller can control the temperature monitoring sensor to monitor the real-time temperature value of the heating element, and then calculate the temperature change rate during the heating test stage / period (such as the sudden rise rate ≥ 40°C / s); it can also control the electrical parameter monitoring sensor to monitor the leakage current value, insulation performance change rate, etc. of the heating element; it can also control the morphology monitoring sensor to capture the surface cracks (such as the crack initiation and expansion process) and internal porosity of the heating element; it can also control the leakage current detector, insulation resistance tester and other electrical parameter monitoring sensors, which are respectively used to detect the leakage current value and insulation resistance change rate of the heating element.

[0117] In some optional embodiments, after the heating element reaches a predetermined temperature and stabilizes (e.g., maintaining the predetermined temperature for a predetermined period of time), the controller receives a water cooling test instruction and first controls the circulating water cooling system to activate a spray mode, spraying the heating element. For example, the circulating water cooling system's array of sprinkler heads can be controlled to activate in a predetermined sequence / timeline (e.g., top → middle → bottom) to spray water onto the heating element. For another example, the set water temperature of the sprinkler head array can be controlled within a range of 10-30°C, and the set flow rate of the sprinkler head array can be controlled within an adjustable range of 0.5-5 L / min.

[0118] In some optional embodiments, after the heating element is sprayed for 10-30 seconds, the controller can control the guide rail motor to drive the heating element (located directly above the water cooling tank) to slide vertically downward until the heating element is completely immersed in the coolant (water) in the water cooling tank to perform immersion cooling treatment on the heating element. For example, the immersion cooling treatment can be but is not limited to lasting for 20-60 seconds.

[0119] In some optional embodiments, during the water cooling test of the heating element, the controller can control the temperature monitoring sensor to monitor the real-time temperature value of the heating element, and then calculate the temperature change rate during the water cooling test stage / period (such as the sudden drop rate ≥ 50°C / s). It can also control the electrical parameter monitoring sensor to monitor the leakage current value, insulation performance change rate, etc. of the heating element; it can also control the morphology monitoring sensor to capture the surface cracks (such as the crack initiation and expansion process) and internal porosity of the heating element; it can also control the leakage current detector, insulation resistance tester and other electrical parameter monitoring sensors to detect the leakage current value and insulation resistance change rate of the heating element, respectively.

[0120] In some embodiments, the above-mentioned testing equipment may further include a temperature monitoring sensor such as an infrared thermal imager and a thermocouple for collecting the real-time temperature value of the heating element, for example, the surface temperature field distribution of the heating element.

[0121] In some embodiments, the above-mentioned testing equipment may further include electrical parameter monitoring sensors such as a leakage current detector and an insulation resistance tester, which are used to detect the leakage current value and the insulation resistance change rate of the heating element respectively.

[0122] In some embodiments, the above-mentioned testing equipment may also include high-speed industrial cameras (for example, frame rate ≥ 200fps), ultrasonic flaw detectors and other morphology monitoring sensors to monitor or collect surface cracks and internal porosity of the heating element respectively.

[0123] In some embodiments, the controller obtains first performance information of the heating test phase (for example, including at least one of the real-time temperature value, temperature change rate, leakage current value, surface morphology information, and internal porosity) from the above-mentioned sensors, and second performance information of the water cooling test phase (for example, including at least one of the real-time temperature value, insulation resistance change rate, temperature change rate, leakage current value, surface morphology information (such as micro-deformation caused by thermal expansion), and internal porosity).

[0124] In some embodiments, the controller performs data coupling analysis on the first and second performance information to achieve a quantitative assessment of the comprehensive performance of the heating element. For example, this may include, but is not limited to, determining the heating element's temperature field fluctuation curve, insulation failure risk index, crack propagation path, and porosity variation trend. In some embodiments, the controller may also perform a weighted calculation on the above parameters based on a preset performance evaluation model (e.g., temperature stability 40%, insulation reliability 30%, and structural integrity 30%) to determine and output third performance information for the heating element. For example, this may include a comprehensive performance evaluation report that includes information such as a grade rating (A, B, C, D), failure risk warning, and process optimization recommendations.

[0125] For example, the controller can correlate the peak temperature of the heating element during the heating test phase with the temperature change rate of the heating element during the water cooling test phase, analyze the thermal stress concentration area of ​​the heating element, and obtain a temperature field fluctuation curve. For another example, the controller can also combine the leakage current value of the heating element with the insulation resistance change rate for analysis to quantify the insulation failure risk of the heating element. For another example, the controller obtains a surface image of the heating element taken by an industrial camera, processes the surface image using an edge detection algorithm to identify microcracks on the surface of the heating element (with an accuracy of 0.01mm), and uses an ultrasonic flaw detector to emit X-rays to detect changes in porosity inside the heating element. Taking the above-mentioned heating element as a heating tube (such as a thick film heating tube, a quartz glass thick film heating tube, etc.) as an example, after a certain heating tube undergoes a water cooling test, the surface of the heating tube has no cracks and the internal porosity has not increased.

[0126] The test equipment provided in the embodiment of the present application controls the heating element under test and the circulating water cooling system through a controller, thereby realizing a full-process automated test of the heating element, from thermal shock simulation to rapid water cooling simulation, and then to performance quantitative evaluation. This improves the consistency between the temperature changes of the simulated test conditions and the actual conditions (rapid heating and cooling) of the heating element, thereby enabling a comprehensive and accurate evaluation of the reliability of the heating element. This solves the problem of inaccurate test conditions in traditional testing schemes that makes it impossible to comprehensively evaluate the reliability of the heating element, and provides support for the industrial upgrading of heating elements.

[0127] Through the above optional implementation methods, the testing equipment provided by the embodiment of the present invention can break through the limitations of traditional single parameter testing schemes, and by comprehensively evaluating the performance information of heating elements, thereby improving the product qualification rate of heating elements and effectively improving the reliability and production efficiency of heating elements.

[0128] In one possible implementation, during the heating test phase and the water cooling test phase, the method further includes at least one of the following: Control the infrared thermal imager to detect the real-time temperature value of the heating element; controlling a leakage current detector to detect a leakage current value of the heating element; controlling the insulation resistance tester to detect the insulation resistance change rate of the heating element; Control the industrial camera to capture the surface morphology information of the heating element; controlling the ultrasonic flaw detector to detect at least one of the internal porosity of the heating element; The temperature change rate of the heating element is determined according to the real-time temperature value of the heating element.

[0129] In some embodiments, the testing equipment for the heating element of the present application is further equipped with monitoring sensors such as an infrared thermal imager, a leakage current detector, an industrial camera, and an ultrasonic flaw detector on the basis of a controller and a circulating water cooling system to form a closed-loop control system.

[0130] Still Figure 3 As shown, the heating element is suspended above the water cooling tank through a support rod (slidably arranged on the guide rail) and a potential clamp. The infrared thermal imager and industrial camera are symmetrically arranged (as shown in the attached figure). Figure 3 In test steps A, B, and C, the infrared thermal imager fixedly monitors the surface temperature of the heating element; the leakage current detector collects the electrical signal of the heating element through the potential clamp; and the ultrasonic flaw detector is attached to the outside of the water cooling tank and penetrates to detect the internal pores of the heating element.

[0131] In some embodiments, the controller controls an infrared thermal imager to scan the surface of the heating element in real time (such as in test step A, the infrared thermal imager measures the temperature of the suspended heating tube), detects the current temperature value of the heating element point by point, and obtains the temperature change rate (such as the temperature difference per unit time / time interval) through algorithm fitting calculation; controls an industrial camera (such as the high-speed industrial camera in test step A) to capture the surface morphology of the heating element during the heating process (such as whether micro-deformation caused by thermal expansion occurs); controls an ultrasonic flaw detector to emit ultrasonic waves, receive echoes after penetrating the heating element, and analyze the internal porosity of the heating element.

[0132] In some embodiments, the controller drives a circulating water cooling system (such as in the A→B→C test steps, the heating element moves downward along a motor with a scaled guide rail, first spray-cooled and then immersed in cooling), and simultaneously controls the infrared thermal imager to continuously monitor the surface temperature of the heating element (such as in the B test step and the C test step, tracking the temperature drop rate of the water cooling process), and updates the temperature change rate data; controls the leakage current detector to collect the leakage current value under the water cooling environment (humidity, sudden temperature change) (compared with the heating test stage to determine the change in insulation performance); controls the industrial camera to capture the surface morphology under water cooling shock (such as in the B→C state, whether cracks are generated due to thermal shock); and controls the ultrasonic flaw detector to re-detect the internal porosity of the heating element (compared before heating / before water cooling to determine whether the heat-water coupling stress causes pore expansion).

[0133] Combining the control process of suspension (heating test) → lowering → immersion (water cooling test) (with a scaled guide motor to precisely control the immersion depth / speed of the heating element), infrared thermal imaging, electrical testing, image recognition, ultrasonic flaw detection and other simultaneous dynamic monitoring, the "heating-quenching-humidification" cycle of the heating element in actual use is truly reproduced, solving the problem of disconnection between traditional test conditions and actual working conditions.

[0134] The embodiments of this application break through the limitations of traditional single-parameter testing through cross-physical domain testing of infrared (temperature), electrical (leakage current), optical (surface morphology), and acoustic (internal porosity), and completely restore the performance degradation path under thermal-water coupling conditions (such as internal porosity first generated by thermal stress, then expanded into surface cracks due to water cooling shock, and ultimately causing leakage current to exceed the standard). By linking monitoring data in stages and across multiple devices, the root cause of failure of the heating element can be located (such as whether surface cracks are caused by thermal stress from uneven heating or mechanical stress from water cooling shock), providing a quantitative basis for process optimization of the heating element (such as adjusting the thickness of the dielectric layer and improving the water cooling flow rate), which can in turn support the improvement of the product reliability of the heating element.

[0135] In some embodiments, the above-mentioned infrared thermal imager can be, but is not limited to, a high-precision non-contact infrared thermal imager with a wavelength of 8-14 μm, a temperature measurement range of -20°C to 1500°C, and an accuracy of ±0.5°C (the specific values ​​in the embodiments of this application are only achievable embodiments and are not specifically limited. They can be set or modified according to actual test requirements, subject to the ability to implement the test solution provided in this application).

[0136] Optionally, the infrared thermal imager can be pre-fixed with a bracket directly above the heating element, with the monitoring area covering ≥95% of the surface of the heating element. Optionally, the infrared thermal imager is connected to the controller via a USB3.0 interface, with a sampling frequency ≥10Hz.

[0137] In some embodiments, the leakage current detector can use a microcurrent measurement module with a range of 0-10mA and a resolution of 0.01μA, which is connected in series with the ground terminal of the heating element and transmits data to the controller through a 4-20mA analog interface for real-time monitoring of the leakage current changes of the heating element.

[0138] In some embodiments, the above-mentioned industrial camera can be an industrial high-speed industrial camera with a frame rate ≥200fps and a resolution ≥1920×1080. For example, it can be installed on the side of the heating element, equipped with LED light source, and connected to the controller through a Gigabit Ethernet interface to capture the surface crack expansion process of the heating element.

[0139] In some embodiments, the ultrasonic flaw detector can be a multi-channel ultrasonic flaw detector with a frequency range of 2-10 MHz, using an ultrasonic probe array (disposed on the bottom and sides of the heating element) for non-contact testing. For example, the ultrasonic flaw detector is connected to a controller via a PCIe interface to detect changes in the internal porosity of the heating element.

[0140] In some embodiments, while controlling the heating element to heat up, the controller simultaneously starts the infrared thermal imager to collect the current surface temperature value of the heating element at a frequency of 10 Hz. It also controls the leakage current detector to monitor the current value of the heating element in real time through the potential clamp. When abnormal current fluctuations are detected (such as a rate of change > 5% / second), the controller triggers the early warning mechanism and records the corresponding temperature point. It also controls the industrial camera (such as at a frame rate of 50fps) to record the surface morphology changes of the heating element during the heating process, and identifies micro-deformations caused by thermal expansion through an image difference algorithm (accuracy ≥ 0.01mm). It also controls the ultrasonic flaw detector to emit an ultrasonic pulse to the heating element every 5 seconds, and calculates the internal porosity of the heating element by analyzing the attenuation degree of the echo signal.

[0141] In some embodiments, during the water cooling test phase, the controller can control the infrared thermal imager to switch to a 20Hz high-frequency sampling mode, focusing on monitoring the temperature drop rate during the water cooling process (e.g., target value ≥ 50°C / s) and calculating the consistency of the temperature change rate. The leakage current detector can also be controlled to continuously monitor current changes. When a current surge is detected (e.g., growth rate > 200%), the current temperature value and temperature change rate at the corresponding moment are synchronously recorded. The industrial camera can also be controlled to switch to a 200fps ultra-high-speed mode to capture the crack initiation process at the moment of spraying, and identify the crack starting position and expansion direction of the heating element through an edge detection algorithm. The ultrasonic flaw detector performs a secondary inspection after the heating element is immersed in cooling, compares the echo signals before and after heating, and calculates the porosity change multiple of the heating element.

[0142] In some embodiments, the controller calculates the temperature change rate using a time difference algorithm based on the current temperature value collected by the infrared thermal imager: Where T(t) is the current temperature, T(t-1) is the previous temperature, and Δt is the sampling interval (0.1 seconds during the heating test phase and 0.05 seconds during the water-cooling test phase). The controller compares the temperature change rate with the preset curve in real time (for example, a target rate of 100-300°C / min during the heating test phase and a target rate of ≥50°C / s during the water-cooling test phase) and dynamically adjusts the heating power or water-cooling parameters using a PID algorithm.

[0143] In one possible implementation, in response to receiving a heating test instruction, controlling the heating element to heat up from an initial temperature value to a predetermined temperature value includes: S501 , in response to receiving a heating test instruction, controlling a controllable power supply to supply power to a heating element at a constant power or a gradient power.

[0144] S502: Determine the heating rate of the heating element according to the constant power or the gradient power.

[0145] S503, controlling the heating element to heat up from an initial temperature value to a predetermined temperature value according to a heating rate.

[0146] In some embodiments, after receiving the heating test instruction, the controller can select the power mode and configure the parameters. The controller retrieves the corresponding power control mode (constant power or gradient power) and related parameters from the stored parameter library according to the preset test conditions. For example, if a basic performance test is performed on a heating element, a constant power mode can be selected, and the power value range can be set to 1-5kW (which can be adjusted according to the specifications of the heating element); if the heating element is tested under simulated actual working conditions, a gradient power mode can be used, such as rapidly increasing the temperature at maximum power in the initial stage (such as 5kW), and reducing the power (such as 2kW) when approaching the target temperature to avoid overshoot.

[0147] Afterwards, the controller controls the infrared thermal imager to collect the current temperature value of the heating element in real time, for example, the surface temperature value of the heating element (predetermined sampling frequency ≥ 10Hz), and then calculates the ratio of the temperature difference between adjacent time points to the time interval to obtain the instantaneous heating rate of the heating element. For example, when the current temperature value of the heating element changes from When the heating rate is calculated, the formula is: .

[0148] In some optional embodiments, in constant power mode, the controller controls the controllable power supply to maintain a set power output while monitoring whether the heating element's heating rate is stable within a desired range (e.g., 100-300°C / min). If the measured heating element's heating rate is lower than the target rate within the desired range, the output power of the controllable power supply is fine-tuned. If the measured current temperature of the heating element is close to a predetermined temperature value (e.g., a deviation of ≤10°C), a PID algorithm is activated to precisely control the output power of the controllable power supply to reduce temperature fluctuations.

[0149] In some optional embodiments, in gradient power mode, the controller can dynamically adjust the output power of the controllable power supply according to a preset power-temperature curve. For example, in the initial stage (current temperature < 60% of the target temperature), the controllable power supply is controlled to output at maximum power to allow the heating element to heat up quickly. In the intermediate stage (current temperature reaches 60%-90% of the target temperature), the output power of the controllable power supply is reduced according to a linear gradient to slow the heating element's heating rate. In the final stage (current temperature exceeds 90% of the target temperature), the controllable power supply is maintained at a low power output to achieve precise temperature control.

[0150] During this process, the controller can also continuously compare the measured heating rate with the theoretical heating rate, and use the proportional integral differential algorithm to correct the power output of the controllable power supply in real time to ensure the uniformity of the temperature field distribution of the heating element (such as radial temperature difference ≤15°C).

[0151] Finally, when the current temperature of the heating element reaches the predetermined value and stabilizes within the target range (e.g., fluctuation ≤ ±2°C for 5 minutes), the controller determines that the heating test phase is complete and automatically triggers the subsequent water cooling test process. Simultaneously, the first performance information of the heating element collected by each sensor during the heating test is stored in the database for subsequent analysis coupled with the water cooling test data.

[0152] Through the above implementation, the heating process of the heating element can be accurately controlled, solving the problems of temperature overshoot and uncontrollable heating rate in traditional testing methods, and effectively improving test efficiency and data accuracy.

[0153] In one possible implementation, after controlling the heating element to heat up from an initial temperature value to a predetermined temperature value, the method further includes: controlling the heating element to maintain the predetermined temperature value within a predetermined time; after the predetermined time ends, responding to a water cooling test instruction and entering a water cooling test phase.

[0154] During the heating test phase, the controller first raises the heating element from its initial temperature to a predetermined temperature (e.g., 300°C), then maintains it at that temperature for a fixed period (e.g., 5 minutes) to ensure thermal stability. After the constant temperature period, if a water cooling test command is received, the system switches to the water cooling phase, activating the circulating water cooling system to spray or immerse the heating element. This simulates the rapid cooling scenario after sustained high temperatures in actual operating conditions and comprehensively evaluates the heating element's thermal shock resistance.

[0155] In one possible implementation, in response to receiving a water cooling test instruction, controlling the circulating water cooling system to perform a spray cooling process on the surface of all or part of the heating element and an immersion cooling process on the heating element includes: S601, in response to receiving a water cooling test instruction, controlling the guide rail motor to slide the support rod to a first predetermined position, wherein the support rod is slidably disposed on the guide rail motor, and at least one heating element to be tested is fixed on the support rod.

[0156] S602, after controlling the guide rail motor to slide the support rod to the first predetermined position, controlling the circulating water cooling system to spray and cool the surfaces of all or part of the heating elements.

[0157] S603: After the spray cooling process is completed, the guide rail motor is controlled to slide the support rod to a second predetermined position.

[0158] S604, after controlling the guide rail motor to slide the support rod to the second predetermined position, controlling the circulating water cooling system to perform immersion cooling on the heating element.

[0159] In some embodiments, in the test equipment, a scaled guide motor is mounted parallel to the water cooling tank, and a support rod is slidably connected to the guide motor via a slider (e.g. Figure 3 In the test steps A, B, and C shown, the support rod changes position with the displacement of the guide motor). The heating element is fixed to the support rod by a potential clamp (single or multiple testing is possible).

[0160] When the controller receives the water cooling test instruction, the controller controls the guide rail motor to drive the support rod to slide from the initial hanging position (such as in test step A, the heating tube is suspended above the water cooling tank) to the first predetermined position (the distance between the bottom of the heating element and the liquid level of the water cooling tank is ≤ the spray coverage height, such as 5-10cm, to ensure that the spray water curtain can cover the surface of the heating tube), such as test step A → test step B, and the support rod moves vertically.

[0161] After detecting that the support rod reaches the first predetermined position, the controller triggers the spray head array of the circulating water cooling system (such as multiple spray heads arranged above and / or on the side of the water cooling tank), and continuously sprays the surface of the heating element for a set time (such as 10-30 seconds) at a set flow rate (such as 0.5-2L / min) and a predetermined water temperature (such as 5-30°C).

[0162] After the spray cooling process is complete, the controller again controls the guide motor to drive the support rod to a second predetermined position (so that the heating element is fully aligned with the water cooling tank opening and the liquid level covers the heating tube after immersion). As in test step C, the heating element moves vertically downward to directly above the water cooling tank. During this movement, the ultrasonic flaw detector can be triggered in advance to pre-scan the changes in the heating element's internal pores after the spray (for example, to determine whether the thermal stress caused by the spray has caused pore expansion).

[0163] The controller controls the guide rail motor to drive the support rod to move downward in the vertical direction (or to move the water cooling tank upward and downward in a linked manner). After the support rod reaches the second predetermined position, the heating element is completely immersed in the water cooling tank (such as in test step C, the heating tube is completely immersed in the water cooling tank), and the cooling is continued for a set time (such as 20-60 seconds).

[0164] By controlling the spatial displacement of the heating element in hovering, spraying, and immersion through the guide rail motor, the complex scenarios of exposure, water spraying, and immersion in actual applications are realistically simulated, solving the problem of the disconnection between traditional static water cooling testing and actual working conditions. In addition, the test equipment provided in the embodiment of the present application can also support differentiated testing of single / multiple heating elements (such as fixing multiple heating elements on a support rod, partially spraying, partially immersed, etc.). By comparing the performance data of different test positions and different water cooling processes, it provides an optimization basis for the production process of the heating element (such as the uniformity of the dielectric layer coating and the design of the waterproof structure).

[0165] In one possible implementation, controlling the circulating water cooling system to spray cooling on the surface of all or part of the heating element and immersing the heating element in cooling includes: S701, controlling the heating element to slide toward the circulating water cooling system.

[0166] S702, when the heating element slides toward the circulating water cooling system, controlling the circulating water cooling system to spray and cool the surface of all or part of the heating element, and S703: After the heating element has completely slid into the circulating water cooling system, the circulating water cooling system is controlled to perform immersion cooling on the heating element.

[0167] In one possible implementation, during the process of the heating element sliding toward the circulating water cooling system, the circulating water cooling system is controlled to perform spray cooling treatment on the surface of all or part of the heating element, including: during the process of the heating element sliding toward the circulating water cooling system, predetermined spray control parameters are obtained, wherein the predetermined spray control parameters include at least one of a predetermined water temperature and a predetermined flow rate; according to the predetermined spray control parameters, the circulating water cooling system is controlled to perform spray cooling treatment on the surface of all or part of the heating element.

[0168] In some embodiments, the controller can retrieve predetermined spray control parameters corresponding to the test conditions from a preset database, for example: standard test conditions: predetermined water temperature 20℃±0.5℃, predetermined flow rate 2L / min±0.1L / min; extreme thermal shock conditions: predetermined water temperature 10℃±0.5℃, predetermined flow rate 4L / min±0.1L / min; the above values ​​are all embodiments, but are not limited to this.

[0169] In some embodiments, the water cooling tank of the circulating water cooling system is located at the end of the guide rail motor, the depth of the water cooling tank is ≥ 1.2 times the height of the heating element, and a built-in circulating water pump and temperature sensor are connected to an external water source through the water inlet and drained through the water outlet.

[0170] When the control controller controls the guide rail motor and the support rod drives the heating element to the bottom of the spray head array of the circulating water cooling system, the corresponding spray head is controlled to open, and the surface of part of the heating element is sprayed and cooled according to the predetermined water temperature of 20°C and the predetermined flow rate of 2L / min. As the heating element continues to slide, the corresponding spray heads are opened in sequence (time interval of 0.2 seconds) to spray and cool the surfaces of all heating elements.

[0171] When the support rod drives the heating element to slide completely into the water cooling tank of the circulating water cooling system, that is, the heating element is completely immersed in the coolant in the water cooling tank, the circulating water pump in the water cooling tank runs at a flow rate of 30L / min to ensure uniform coolant temperature; after the immersion cooling process continues for a predetermined period of time (such as 30s), the controller controls the guide rail motor to drive the heating element on the support rod to rise to the initial suspension height, completing the cooling process.

[0172] With this implementation, the controller coordinates the mechanical movement of the heating element with the multi-stage cooling action of the circulating water cooling system to achieve continuous, gradient cooling of the heating element, realizes a gradient transition from rapid surface cooling to deep internal cooling, and realizes dynamic and precise control of the cooling process of the heating element, avoiding the thermal stress concentration problem caused by direct immersion cooling of the heating element in traditional testing schemes.

[0173] In one possible implementation, while the heating element is driven by the support rod to slide toward the circulating water cooling system, controlling the circulating water cooling system to spray cooling on all or part of the surface of the heating element includes: When the heating element is driven by the support rod to slide toward the circulating water cooling system, a predetermined spray control parameter is obtained, wherein the predetermined spray control parameter includes at least one of a predetermined water temperature and a predetermined flow rate.

[0174] According to the predetermined spray control parameters, the circulating water cooling system is controlled to spray and cool the surfaces of all or part of the heating elements.

[0175] In some embodiments, the controller can retrieve the predetermined spray control parameters corresponding to the test conditions from a preset database, for example: standard test conditions: predetermined water temperature 20℃±0.5℃, predetermined flow rate 2L / min±0.1L / min; extreme thermal shock conditions: predetermined water temperature 10℃±0.5℃, predetermined flow rate 4L / min±0.1L / min; the above values ​​are all embodiments, but are not limited to this embodiment.

[0176] In some embodiments, the water cooling tank of the circulating water cooling system is located at the end of the guide rail motor, the depth of the water cooling tank is ≥ 1.2 times the height of the heating element, and a built-in circulating water pump and temperature sensor are connected to an external water source through the water inlet and drained through the water outlet.

[0177] When the heating element reaches the bottom of the spray head array driven by the support rod, the corresponding spray head opens and sprays and cools the surface of part of the heating element according to the predetermined water temperature of 20°C and the predetermined flow rate of 2L / min. As the heating element continues to slide, the corresponding subsequent spray heads open in sequence (time interval of 0.2 seconds) to spray and cool the surface of all heating elements.

[0178] When the heating element slides completely into the water cooling tank and is immersed in the coolant in the water cooling tank, the circulating water pump in the water cooling tank of the circulating water cooling system runs at a flow rate of 30L / min to ensure uniform coolant temperature; after the immersion cooling process continues for a predetermined period of time (such as 30s), the controller controls the guide rail motor to drive the heating element on the support rod to lift to the initial suspension height, completing the cooling process.

[0179] With this implementation, the controller controls the guide rail motor to drive the movement of the heating element on the support rod and the multi-stage cooling action of the circulating water cooling system, thereby providing continuous and gradient cooling treatment for the heating element, with a gradient transition from rapid surface cooling to deep internal cooling. This achieves dynamic and precise control of the cooling process of the heating element, avoiding the thermal stress concentration problem caused by direct immersion cooling of the heating element in traditional testing schemes.

[0180] In a possible implementation, outputting third performance information of the heating element according to the first performance information and the second performance information includes: S801 , performing coupled analysis on the real-time temperature value and the temperature change rate in the first performance information and the temperature change rate in the second performance information to obtain a temperature field fluctuation curve of the heating element.

[0181] S802 , performing a time series comparison between the leakage current value and the insulation resistance change rate in the first performance information and the corresponding parameters in the second performance information to determine an insulation failure risk index of the heating element under thermal-water coupling stress.

[0182] S803 , based on the surface morphology information and internal porosity in the first performance information and the second performance information, extract the crack propagation path and porosity variation trend of the heating element through an image recognition algorithm.

[0183] S804: Based on a preset performance evaluation model, a weighted calculation is performed on the temperature field fluctuation curve, the insulation failure risk index, the crack propagation path, and the porosity change trend to generate a comprehensive performance evaluation report of the heating element as the third performance information.

[0184] In some embodiments, after obtaining the first performance information (test data from the heating test phase) and the second performance information (test data from the water cooling test phase), the controller performs the following steps to implement a comprehensive performance evaluation of the heating element: First, the controller aligns the real-time temperature values ​​during the heating test phase with the temperature change rate during the water-cooling test phase, generating a continuous temperature field fluctuation curve using an interpolation algorithm. The specific process involves synchronizing the temperature data collected by the infrared thermal imager during the heating test phase (e.g., with a sampling rate of 10 Hz) with the temperature change rate data during the water-cooling test phase (e.g., with a sampling rate of 20 Hz), using timestamps as indexes. The ratio of the temperature difference between adjacent time points to the time interval is calculated to obtain the instantaneous temperature change rate. After smoothing using a sliding window, a complete temperature field fluctuation curve is generated, from which characteristic parameters such as the peak temperature point, the fluctuation range of the constant temperature section, the maximum temperature change rate (e.g., a sudden drop rate ≥ 50°C / s), and its duration are extracted.

[0185] Next, the controller compares the leakage current values ​​during the heating test phase with the rate of change of insulation resistance during the water-cooling test phase to construct a risk index model. Specifically, the controller calculates the growth rate of the leakage current after water-cooling compared to before heating (e.g., growth rate = [(current after water-cooling - current before heating) / current before heating] × 100%) and analyzes the insulation resistance decay slope over time (e.g., rate of decrease per unit time). This is combined with preset thresholds (e.g., leakage current > 1mA, insulation resistance < 50MΩ) and the peak temperature point in the temperature field fluctuation curve (e.g., the insulation risk factor doubles at temperatures > 350°C) to generate an insulation failure risk index. For example, a high-risk condition is determined when the leakage current growth rate exceeds 200% and the insulation resistance decay slope is greater than 0.5MΩ / s.

[0186] Furthermore, the controller uses image recognition algorithms to extract crack propagation paths and porosity trends based on surface topography and internal porosity data from the heating and water-cooling phases. This is achieved by preprocessing the surface images captured by the industrial camera (e.g., Gaussian filtering and edge enhancement), identifying the crack initiation location (typically in the area with the maximum temperature gradient) using the frame difference method, and calculating the crack length and propagation direction using the Hough transform. Simultaneously, the ultrasonic grayscale image is thresholded, the porosity region is extracted, and its area percentage is calculated. Time series comparison is then used to quantify the porosity change from the initial value (e.g., 0.8%) to the post-water-cooling value.

[0187] Finally, based on a pre-set performance evaluation model, the controller weights the temperature field fluctuation curve, insulation failure risk index, crack propagation path, and porosity variation trend (e.g., 40% for temperature stability, 30% for insulation reliability, and 30% for structural integrity). This generates a comprehensive score, categorized as A, B, C, or D. The evaluation report includes: 1) a summary of core performance indicators (temperature response, insulation parameters, and structural defects); 2) a failure risk warning (with weak areas and potential failure modes highlighted); 3) test optimization recommendations (e.g., adjusting the heating power curve or improving the water cooling flow rate); and 4) data visualization charts (temperature field cloud diagram, insulation parameter time series diagram, and dynamic evolution diagram of the crack propagation path).

[0188] Through the above implementation method, a full-process automated evaluation from multi-dimensional data collection to failure mechanism analysis is achieved, which solves the problem that traditional testing methods only focus on a single test parameter and cannot reproduce actual working conditions, and effectively improves the test reliability and production efficiency of heating components.

[0189] In a possible implementation, outputting third performance information of the heating element according to the first performance information and the second performance information includes: S901 , cross-validating the real-time temperature value in the first performance information and the temperature change rate in the second performance information to obtain a temperature response time of the heating element during a thermal shock process.

[0190] S902 , performing a time series comparison between the leakage current value and the insulation resistance change rate in the first performance information and the corresponding parameters in the second performance information to determine an insulation failure risk index of the heating element under thermal-water coupling stress.

[0191] S903 , based on the surface morphology information and internal porosity in the first performance information and the second performance information, extract the crack propagation path and porosity variation trend of the heating element through an image recognition algorithm.

[0192] S904, based on a preset performance evaluation model, weighted calculation is performed according to the temperature response time, insulation failure risk index, crack propagation path and porosity change trend to generate a comprehensive performance evaluation report of the heating element as the third performance information.

[0193] In some embodiments, the controller performs a deep coupling analysis of the first performance information during the heating test phase and the second performance information during the water cooling test phase to achieve a quantitative evaluation of the comprehensive performance of the heating element: During the data acquisition phase, the first performance information is collected during the heating test phase. An infrared thermal imager captures the surface temperature distribution of the heating element in real time, and the temperature change rate is calculated using a differential algorithm. A leakage current detector simultaneously monitors the current value in the power-on state. An industrial camera captures surface topography changes during the heating process (such as micro-deformations caused by thermal expansion). An ultrasonic flaw detector detects the initial state of internal porosity. Secondary performance information is collected simultaneously during the water cooling test phase. This includes the temperature change rate monitored by the infrared thermal imager, the resistance decay trend recorded by the insulation resistance tester, the crack initiation process captured by the industrial camera, and the pore expansion detected by the ultrasonic flaw detector.

[0194] In some embodiments, the controller performs data coupling analysis on the first and second performance information, aligning the real-time temperature values ​​during the heating test phase with the temperature change rate during the water-cooling test phase. Using an interpolation algorithm, the controller generates a continuous temperature field fluctuation curve, extracting characteristic parameters such as the peak temperature point, the fluctuation range of the constant temperature section, and the maximum temperature change rate (e.g., a sudden drop rate ≥ 50°C / s). Simultaneously, the controller performs a correlation analysis between the leakage current value during the heating test phase and the insulation resistance change rate during the water-cooling test phase, calculating the correlation between the current growth rate of the heating element and the insulation resistance change rate (e.g., when the leakage current growth rate exceeds 200%, the insulation resistance attenuation slope increases simultaneously).

[0195] In some embodiments, the controller can also use image recognition algorithms to perform frame difference analysis on the surface topography of the heating element before and after the heating test and during the water cooling process, identifying the initiation location of cracks in the heating element (typically in the area with the maximum temperature gradient) and calculating the propagation rate. Ultrasonic grayscale image comparison algorithms can also be used to quantify the change in the internal porosity of the heating element from the initial value to the post-water cooling process. For example, if a 0.05mm microcrack is detected on the surface, the temperature field distribution and porosity change in the corresponding area are simultaneously analyzed.

[0196] In some embodiments, the controller may also normalize the aforementioned characteristic parameters based on a preset weighting system (e.g., 40% for temperature stability, 30% for insulation reliability, and 30% for structural integrity), then perform a weighted calculation to determine a comprehensive score and evaluation report for the heating element. The controller may also categorize the heating element into Grade A, Grade B, Grade C, or Grade D based on the comprehensive score. In some embodiments, the evaluation report may include visual data such as temperature field cloud maps, insulation parameter time series diagrams, and crack propagation path dynamic evolution diagrams, and automatically generate decision recommendations for different grades of heating element products: for example, direct release may be recommended for Grade A products, adjustment of the heating power gradient or water cooling flow rate parameters may be recommended for Grade C products, and direct determination of unqualified products for Grade D products with traceability of production process parameters.

[0197] Through the above-mentioned implementation mode, the present invention realizes the full-process automated evaluation from multi-dimensional data collection to failure mechanism analysis, solves the problem that traditional testing methods only focus on a single test parameter and cannot reproduce actual working conditions, and effectively improves the product qualification rate and service life of heating elements.

[0198] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0199] Corresponding to the testing method of the heating element described in the above embodiment, Figure 10 This is a schematic diagram of the structure of a testing device for a heating element provided in an embodiment of the present application. The device can be implemented as part or all of a computer device by software, hardware, or a combination of both. The computer device can be Figure 11 Electronic devices shown.

[0200] Reference Figure 10 , the testing device of the heating element includes: The first control unit 1001 is configured to control the heating element to heat up from an initial temperature value to a predetermined temperature value in response to receiving a heating test instruction.

[0201] The second control unit 1002 is used to control the circulating water cooling system to spray cooling treatment on the surface of all or part of the heating elements and / or immerse cooling treatment on the heating elements in response to receiving the water cooling test instruction.

[0202] The acquiring unit 1003 is configured to acquire first performance information of the heating element monitored during the heating test phase and second performance information of the heating element monitored during the water cooling test phase.

[0203] The determining unit 1004 is configured to output third performance information of the heating element according to the first performance information and the second performance information.

[0204] It is understood that the embodiment of the heating element testing device and any implementation thereof respectively correspond to the embodiment of the heating element testing method and any implementation thereof. The technical effects corresponding to the embodiment of the heating element testing device and any implementation thereof can be referred to the technical effects corresponding to the embodiment of the heating element testing method and any implementation thereof, and will not be repeated here.

[0205] It should be noted that the testing device for the heating element provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0206] The functional units and modules in the above embodiments may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The above integrated units may be implemented in the form of hardware or software functional units. In addition, the specific names of the functional units and modules are only for the purpose of distinguishing them from each other and are not intended to limit the scope of protection of the embodiments of this application.

[0207] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0208] An embodiment of the present application further provides an electronic device, the electronic device comprising one or more processors and a memory; The memory is coupled to one or more processors, and is used to store computer program codes. The computer program codes include computer instructions. The one or more processors call the computer instructions to enable the electronic device to execute the above-mentioned test method for the heating element.

[0209] Figure 11 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device 1100 can be a mobile phone, a smart screen, a tablet computer, a wearable electronic device, an in-vehicle electronic device, an augmented reality (AR) device, a virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a projector, or a communication device such as a server, storage device, or a base station, or a smart car. The embodiments of the present application do not impose any restrictions on the specific type of electronic device.

[0210] Memory 1101 can be used to store computer software programs 1102 and modules. Processor 1103 executes the various functional applications and data processing of the electronic device by running the software programs and modules stored in memory 1101. Memory 1101 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as sound playback or image playback); the data storage area may store data generated based on the use of the electronic device (such as audio data and a phone book). Memory 1101 may also include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state memory device.

[0211] Among them, the processor 1103 may include one or more processors such as a central processing unit, an application processor (AP), a baseband processor, etc. The processor can be the nerve center and command center of the wireless router. The processor 1103 can generate an operation control signal based on the instruction operation code and the timing signal to complete the control of instruction fetching and execution. The memory 1101 can be used to store computer executable program code, and the executable program code includes instructions. The processor 1103 executes various functional applications and data processing of the network device by running the instructions stored in the memory. The memory 1101 may include a program storage area and a data storage area, such as storing data of a sound signal to be played. For example, the memory can be a double data rate synchronous dynamic random access memory DDR or a flash memory.

[0212] An embodiment of the present application further provides a computer-readable storage medium, in which computer instructions are stored; when the computer-readable storage medium is run on an electronic device, the electronic device executes the aforementioned method for testing a heating element.

[0213] The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. The available medium may be a magnetic medium (e.g., a floppy disk, hard disk, magnetic tape), an optical medium, or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0214] An embodiment of the present application further provides a computer program product comprising computer instructions. When the computer program product is run on an electronic device, the electronic device can execute the aforementioned method for testing a heating element.

[0215] The computer storage medium and computer program product provided in the above-mentioned embodiments of the present application are used to execute the method provided above. Therefore, the beneficial effects that can be achieved can refer to the corresponding beneficial effects of the method provided above, and will not be repeated here.

[0216] The above embodiments can also be implemented in whole or in part through software, hardware, firmware, or any combination thereof. When implemented using software, they can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When these computer instructions are loaded and executed on a computer, they fully or partially produce the processes or functions described in the embodiments of this application. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that integrates one or more available media. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk (HDD) or a solid-state drive (SSD), etc. The storage medium may also include a combination of the above types of memory.

[0217] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0218] Those skilled in the art will appreciate that the units and algorithm steps of the various embodiments described in conjunction with the embodiments applied for herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0219] In the embodiments provided in this application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely illustrative. For example, the division of the modules or 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 integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0220] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0221] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for testing a heating element, characterized in that: include: In response to receiving a heating test instruction, controlling the heating element to heat up from an initial temperature value to a predetermined temperature value; In response to receiving a water cooling test instruction, controlling the circulating water cooling system to perform a spray cooling process on the surface of all or part of the heating element, and / or to perform an immersion cooling process on the heating element; Acquiring first performance information of the heating element monitored during a heating test phase, and second performance information of the heating element monitored during a water cooling test phase; Third performance information of the heating element is output according to the first performance information and the second performance information.

2. The method according to claim 1, characterized in that In response to receiving the heating test instruction, controlling the heating element to heat up from an initial temperature value to a predetermined temperature value includes: In response to receiving the heating test instruction, controlling the controllable power supply to supply power to the heating element at a constant power or a gradient power; determining a heating rate of the heating element according to the constant power or the gradient power; According to the heating rate, the heating element is controlled to heat up from the initial temperature value to the predetermined temperature value.

3. The method according to claim 1, characterized in that The controlled circulating water cooling system performs spray cooling on the surface of all or part of the heating element, and performs immersion cooling on the heating element, including: Controlling the heating element to slide toward the circulating water cooling system; When the heating element slides toward the circulating water cooling system, controlling the circulating water cooling system to spray and cool the surface of all or part of the heating element; After the heating element has completely slid into the circulating water cooling system, the circulating water cooling system is controlled to perform immersion cooling on the heating element.

4. The method according to claim 1, wherein During the process of the heating element sliding toward the circulating water cooling system, controlling the circulating water cooling system to perform a spray cooling process on the surface of all or part of the heating element, including: During the process of the heating element sliding toward the circulating water cooling system, obtaining a predetermined spray control parameter, wherein the predetermined spray control parameter includes at least one of a predetermined water temperature and a predetermined flow rate; According to the predetermined spray control parameters, the circulating water cooling system is controlled to perform spray cooling treatment on the surfaces of all or part of the heating elements.

5. The method according to any one of claims 1 to 4, characterized in that Outputting third performance information of the heating element according to the first performance information and the second performance information includes: performing a coupled analysis on the real-time temperature value and the temperature change rate in the first performance information and the temperature change rate in the second performance information to obtain a temperature field fluctuation curve of the heating element; performing a time series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine an insulation failure risk index of the heating element under thermal-water coupling stress; Based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; According to a preset performance evaluation model, the temperature field fluctuation curve, the insulation failure risk index, the crack propagation path and the porosity change trend are weightedly calculated to generate a comprehensive performance evaluation report of the heating element as the third performance information.

6. The method according to any one of claims 1 to 4, characterized in that Outputting third performance information of the heating element according to the first performance information and the second performance information includes: Cross-validating the real-time temperature value in the first performance information and the temperature change rate in the second performance information to obtain a temperature response time of the heating element during a thermal shock process; performing a time series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine an insulation failure risk index of the heating element under thermal-water coupling stress; Based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; According to a preset performance evaluation model, a weighted calculation is performed based on the temperature response time, the insulation failure risk index, the crack propagation path and the porosity change trend to generate a comprehensive performance evaluation report of the heating element as the third performance information.

7. The method according to any one of claims 1 to 4, characterized in that In response to receiving the water cooling test instruction, controlling the circulating water cooling system to spray cooling the surface of all or part of the heating element and immersing the heating element, comprising: In response to receiving the water cooling test instruction, controlling the guide rail motor to slide the support rod to a first predetermined position, wherein the support rod is slidably disposed on the guide rail motor and at least one heating element to be tested is fixed on the support rod; After controlling the guide rail motor to slide the support rod to the first predetermined position, controlling the circulating water cooling system to spray cooling the surface of all or part of the heating element; After the spray cooling process is completed, controlling the guide rail motor to slide the support rod to a second predetermined position; After controlling the guide rail motor to slide the support rod to the second predetermined position, controlling the circulating water cooling system to perform immersion cooling on the heating element.

8. The method according to any one of claims 1 to 4, characterized in that After controlling the heating element to heat up from an initial temperature value to a predetermined temperature value, the method further includes: Controlling the heating element to maintain the predetermined temperature value within a predetermined time period; After the predetermined time period ends, the water cooling test phase is entered in response to the water cooling test instruction.

9. The method according to any one of claims 1 to 4, characterized in that The first performance information includes at least one of a real-time temperature value, a temperature change rate, a leakage current value, surface morphology information, and an internal porosity; The second performance information includes at least one of a real-time temperature value, an insulation resistance change rate, a temperature change rate, a leakage current value, surface morphology information, and an internal porosity.

10. The method according to any one of claims 1 to 4, characterized in that During the heating test phase and the water cooling test phase, the method further includes at least one of the following: Controlling the infrared thermal imager to detect the real-time temperature value of the heating element; controlling a leakage current detector to detect a leakage current value of the heating element; controlling the insulation resistance tester to detect the insulation resistance change rate of the heating element; Controlling an industrial camera to capture surface topography information of the heating element; controlling an ultrasonic flaw detector to detect at least one of the internal porosities of the heating element; The temperature change rate of the heating element is determined according to the real-time temperature value of the heating element.

11. A testing device for a heating element, characterized in that: The system comprises at least a controller and a circulating water cooling system, wherein the controller is configured to execute: In response to receiving a heating test instruction, controlling the heating element to heat up from an initial temperature value to a predetermined temperature value; In response to receiving a water cooling test instruction, controlling the circulating water cooling system to perform a spray cooling process on the surface of all or part of the heating element, and / or to perform an immersion cooling process on the heating element; Acquiring first performance information of the heating element monitored during a heating test phase, and second performance information of the heating element monitored during a water cooling test phase; Outputting third performance information of the heating element according to the first performance information and the second performance information.

12. The testing device according to claim 11, characterized in that Also includes: An infrared thermal imager, a leakage current detector, an industrial camera, and an ultrasonic flaw detector are respectively connected to the controller; During the heating test phase and the water cooling test phase, the controller is further configured to perform at least one of the following: Controlling the infrared thermal imager to detect the real-time temperature value of the heating element; controlling a leakage current detector to detect a leakage current value of the heating element; controlling the insulation resistance tester to detect the insulation resistance change rate of the heating element; Controlling an industrial camera to capture surface topography information of the heating element; controlling an ultrasonic flaw detector to detect at least one of the internal porosities of the heating element; The temperature change rate of the heating element is determined according to the real-time temperature value of the heating element.

13. The testing device according to claim 11, characterized in that The controller is further configured to perform: In response to receiving the water cooling test instruction, controlling the guide rail motor to slide the support rod to a first predetermined position, wherein the support rod is slidably disposed on the guide rail motor and at least one heating element to be tested is fixed on the support rod; After controlling the guide rail motor to slide the support rod to the first predetermined position, controlling the circulating water cooling system to spray cooling the surface of all or part of the heating element; After the spray cooling process is completed, controlling the guide rail motor to slide the support rod to a second predetermined position; After controlling the guide rail motor to slide the support rod to the second predetermined position, controlling the circulating water cooling system to perform immersion cooling on the heating element.

14. The testing device according to claim 11, characterized in that The controller is further configured to perform: In response to receiving the heating test instruction, controlling the controllable power supply to supply power to the heating element at a constant power or a gradient power; determining a heating rate of the heating element according to the constant power or the gradient power; According to the heating rate, the heating element is controlled to heat up from the initial temperature value to the predetermined temperature value.

15. The testing device according to claim 11, characterized in that The controller is further configured to perform: Controlling the heating element to slide toward the circulating water cooling system; When the heating element slides toward the circulating water cooling system, the circulating water cooling system is controlled to spray and cool the surface of all or part of the heating element, and After the heating element has completely slid into the circulating water cooling system, the circulating water cooling system is controlled to perform immersion cooling on the heating element.

16. The testing device according to any one of claims 11 to 15, characterized in that During the process of the heating element sliding toward the circulating water cooling system, controlling the circulating water cooling system to perform a spray cooling process on the surface of all or part of the heating element, including: During the process of the heating element sliding toward the circulating water cooling system, obtaining a predetermined spray control parameter, wherein the predetermined spray control parameter includes at least one of a predetermined water temperature and a predetermined flow rate; According to the predetermined spray control parameters, the circulating water cooling system is controlled to perform spray cooling treatment on the surfaces of all or part of the heating elements.

17. The testing device according to any one of claims 11 to 15, characterized in that The controller is further configured to perform: performing a coupled analysis on the real-time temperature value and the temperature change rate in the first performance information and the temperature change rate in the second performance information to obtain a temperature field fluctuation curve of the heating element; performing a time series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine an insulation failure risk index of the heating element under thermal-water coupling stress; Based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; According to a preset performance evaluation model, the temperature field fluctuation curve, the insulation failure risk index, the crack propagation path and the porosity change trend are weightedly calculated to generate a comprehensive performance evaluation report of the heating element as the third performance information.

18. The testing device according to any one of claims 11 to 15, characterized in that The controller is further configured to perform: Cross-validating the real-time temperature value in the first performance information and the temperature change rate in the second performance information to obtain a temperature response time of the heating element during a thermal shock process; performing a time series comparison of the leakage current value and the insulation resistance change rate in the first performance information with the corresponding parameters in the second performance information to determine an insulation failure risk index of the heating element under thermal-water coupling stress; Based on the surface morphology information and internal porosity in the first performance information and the second performance information, extracting the crack propagation path and porosity change trend of the heating element through an image recognition algorithm; According to a preset performance evaluation model, a weighted calculation is performed based on the temperature response time, the insulation failure risk index, the crack propagation path and the porosity change trend to generate a comprehensive performance evaluation report of the heating element as the third performance information.

19. The testing device according to any one of claims 11 to 15, characterized in that The first performance information includes at least one of a real-time temperature value, a temperature change rate, a leakage current value, surface morphology information, and an internal porosity; The second performance information includes at least one of a real-time temperature value, an insulation resistance change rate, a temperature change rate, a leakage current value, surface morphology information, and an internal porosity.

20. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the electronic device implements the method according to any one of claims 1 to 10.

21. A computer program product, characterized in that The invention comprises a computer program which, when executed, causes the method according to any one of claims 1 to 10 to be performed.

22. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 10 is implemented.

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