CN113608089B - SOA test method, system and device for switching power supply MOS tube and readable storage medium - Google Patents

Abstract

The invention provides an SOA (service oriented architecture) test method, an SOA test system, an SOA test device and a readable storage medium for a switching power supply MOS tube, wherein the method comprises the following steps: constructing an SOA test platform based on Python; starting an SOA test platform based on Python and creating an independent test thread; after the test thread is created, the call of the test resource is completed by calling the internal definition function, and the test scene is executed; in the process of executing the test scene, if receiving the user interrupt, processing preferentially; after the current test scene is finished, generating test data and recommended data calibration, and generating data calibration of the test data according to the recommended data calibration; judging whether all current test scenes are tested; analyzing and calculating the test data of all the test scenes, and generating test results. The invention realizes the SOA automatic test of the MOS tube, provides an auxiliary analysis tool for the test result, and reduces the possibility of error occurrence of the test result.

Description

SOA testing methods, systems, devices and readable storage media for switching power supply MOS tubes

Technical field

The invention relates to the technical field of MOS tube safety testing, and more specifically to an SOA testing method, system, device and readable storage medium for switching power supply MOS tubes.

Background technique

As a representative of new semiconductor devices, MOS tubes are widely used in server power systems as important switching components. In order to ensure that the MOS tube can work safely, it is particularly important to conduct SOA testing on the MOS tube. SOA testing is a functional test conducted to verify whether the MOS tube is within the Safe Operating Area (SOA). In the server R&D cycle, there are many test items and it takes a long time. In the context of server R&D testing turning to automation, SOA testing is an important test item and it is very necessary to implement automated testing.

Currently, the SOA testing method for MOS tubes is manual testing. The specific process is: manually operate the oscilloscope, DC power supply, and electronic load to test the MOS tube in three scenarios: full load power on, short circuit before power on, and short circuit after power on. The waveforms of VDS and Iin are captured respectively, and the MOS is measured. The voltage and current values during the conversion process of the tube opening and closing. Finally, compare the obtained measurement values with the SOA curve of the MOS tube to verify whether it works within the safe working area. After passing the verification, manually fill in the test results in the test report, and issue a complete test report integrating other test items of the switching power supply.

Although the existing test methods can accomplish the test purpose, due to the certain particularity of the SOA test of switching power supply MOS tubes, it mostly appears in the test of EFUSE devices. The test frequency is less, but the importance is higher. Because some testers are not familiar enough with testing methods and testing standards, they cannot pay attention to all key test nodes during testing, and the test results may be wrong, which will have a negative impact on the research and development process.

In addition, the test efficiency of manual testing is low, and the test results need to be manually judged and filled in the test report, which goes against the automation trend of switching power supply testing and is not conducive to the "cloud analysis" of test data.

Contents of the invention

In response to the above problems, the purpose of the present invention is to provide an SOA testing method, system, device and readable storage medium for a switching power supply MOS tube, realize the SOA automated testing of the MOS tube, standardize the test process, and provide assistance with the test results. Analysis tools can automatically calculate test data, reducing the possibility of errors in test results.

In order to achieve the above objects, the present invention adopts the following technical solutions: an SOA testing method for switching power supply MOS tubes, including the following steps:

S1: Build a Python-based SOA test platform;

S2: Start the Python-based SOA test platform, load the board information, select the power supply line to be tested, and create an independent test thread;

S3: After the test thread is created, the test resource is called by calling the internal defined function and the test scenario is executed;

S4: During the execution of the test scenario, if a user interrupt is received, it will be processed first;

S5: After the current test scenario ends, generate test data and recommended data calibration, and generate data calibration of the test data based on the recommended data calibration;

S6: Determine whether all current test scenarios have been tested; if so, go to step S7; if not, select any untested test scenario and go to step S3;

S7: Analyze and calculate the test data of all test scenarios and generate test results.

Further, step S1 includes:

Use QThread multi-threading method to build the platform architecture and separate the UI interface and test program;

Use the PyQt library for graphical programming, and use the QSS language to edit the operation logic and build the operation interface;

The Windows system API is called through the python win32process library to perform instant suspension and resumption of the test task thread.

Further, step S2 includes:

Launch a Python-based SOA test platform;

Load the board information and read the VDS signal and Input Current signal of the board;

Select the power supply line that needs to be tested and create an independent test thread.

Further, test scenarios include: Turn on with 100% load, Open short and Short Open.

Further, step S3 includes: starting a preset evaluation algorithm to analyze whether the current test scenario meets the SOA test requirements. If so, go directly to step S4; if not, start and execute a preset automatic calibration program. After the calibration is completed, go to step S4.

Further, step S4 includes:

During the execution of the test scenario, if the test engineer has objections to the test process, he will manually initiate a user interruption; after receiving the user interruption, the SOA test platform calls the Windows API to respond immediately and suspends the test thread until the user interruption is canceled and the test is resumed. thread.

Further, the test data includes the maximum voltage, maximum current and switching time of the MOS tube during the switching process.

Further, step S7 includes:

Start the preset algorithm to calculate the data calibration of the test data and generate the data calibration results;

Use the python matplotlib library to draw logarithmic curve coordinate axes and generate a reference coordinate chart;

Plot the data calibration results on the reference coordinate chart;

Compare the reference coordinate diagram with the SOA curve in the preset MOSFET Datasheet. If the test result is below the SOA curve, the test result is Pass, otherwise the test result is Fail.

Correspondingly, the present invention also discloses an SOA testing system for switching power supply MOS tubes, including:

Platform building unit, used to build a Python-based SOA test platform;

The test thread creation unit is used to start the Python-based SOA test platform. After loading the board information, select the power supply line to be tested and create an independent test thread;

The test scenario execution unit is used to complete the call of test resources by calling internally defined functions and execute the test scenario;

A data calibration unit is used to generate test data and recommended data calibration, and generate data calibration of test data based on the recommended data calibration;

The computing unit is used to analyze and calculate the test data of all test scenarios and generate test results.

Furthermore, the platform building units are specifically used to:

Use QThread multi-threading method to build the platform architecture and separate the UI interface and test program;

The PyQt library for graphical programming is used, and the QSS language is used to edit the operation logic and build the operation interface; the Windows system API is called through the python win32process library to perform instant suspension and recovery of the test task thread.

Furthermore, the test thread creation unit is specifically used for:

Launch a Python-based SOA test platform;

Load the board information and read the VDS signal and Input Current signal of the board;

Select the power supply line that needs to be tested and create an independent test thread.

Further, the computing unit is specifically used for:

Start the preset algorithm to calculate the data calibration of the test data and generate the data calibration results;

Use the python matplotlib library to draw logarithmic curve coordinate axes and generate a reference coordinate chart;

Plot the data calibration results on the reference coordinate chart;

Compare the reference coordinate diagram with the SOA curve in the preset MOSFET Datasheet. If the test result is below the SOA curve, the test result is Pass, otherwise the test result is Fail.

Correspondingly, the present invention discloses an SOA testing device for switching power supply MOS tubes, which includes:

Memory, used to store the SOA test program of the switching power supply MOS tube;

A processor, configured to implement the steps of the SOA testing method for the switching power supply MOS tube as described in any one of the above when executing the SOA test program of the switching power supply MOS tube.

Correspondingly, the present invention discloses a readable storage medium. The SOA test program of the switching power supply MOS tube is stored on the readable storage medium. When the SOA test program of the switching power supply MOS tube is executed by the processor, it is implemented as above. The steps of the SOA testing method for switching power supply MOS tubes described in any one of the above.

Compared with the existing technology, the beneficial effects of the present invention are:

1. The present invention combines the existing Python-based automated test platform to realize automated testing of the SOA of switching power supply MOS tubes, and reconstructs the existing Python-based automated test platform to achieve a rational implementation of user interrupts. The test operation interface has been optimized to provide a higher degree of freedom in the test process.

2. In view of common problems during the test process, such as input signal errors, data calibration errors, etc., the present invention performs correct settings to ensure the accuracy and flexibility of the settings, thereby standardizing the test process. At the same time, the present invention also has an auxiliary analysis tool for test results, automatically calculates test data, and reduces the possibility of errors in test results.

3. The present invention uses reasonable test data analysis solutions for test data in all test scenarios to make SOA testing more standardized.

4. The present invention can be extended to other automated testing platforms, making the application scope of automated testing wider, the interactivity with testers better, and the testing efficiency higher.

It can be seen that compared with the prior art, the present invention has outstanding substantive features and significant progress, and the beneficial effects of its implementation are also obvious.

Description of drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on the provided drawings without exerting creative efforts.

Accompanying drawing 1 is the method flow chart of the present invention;

Figure 2 is a system structure diagram of the present invention.

In the figure, 1 is the platform construction unit; 2 is the test thread creation unit; 3 is the test scenario execution unit; 4 is the data calibration unit; 5 is the calculation unit.

Detailed ways

The core of the present invention is to provide a SOA testing method for switching power supply MOS tubes. In the existing technology, the SOA testing method for MOS tubes is manual testing. Since the SOA testing of switching power supply MOS tubes has certain particularities, it often appears in EFUSE In the testing of devices, the frequency of testing is less, but the importance is higher. Because some testers are not familiar enough with testing methods and testing standards, they cannot pay attention to all key test nodes during testing, and the test results may be wrong, which will have a negative impact on the research and development process. In addition, the test efficiency of manual testing is low, and the test results need to be manually judged and filled in the test report, which goes against the automation trend of switching power supply testing and is not conducive to the "cloud analysis" of test data.

As for the SOA testing method of switching power supply MOS tubes provided by the present invention, first, a Python-based SOA testing platform is constructed. Then, start the Python-based SOA test platform and create an independent test thread; after the test thread is created, the test resource is called by calling the internal defined function and the test scenario is executed. During the execution of the test scenario, if a user interrupt is received, it will be processed first; after the current test scenario ends, the test data and recommended data calibration will be generated, and the data calibration of the test data will be generated based on the recommended data calibration. After all test scenarios have been tested, analyze and calculate the test data of all test scenarios and generate test results. It can be seen that the present invention realizes SOA automated testing of MOS tubes, standardizes the testing process, provides auxiliary analysis tools for test results, can automatically calculate test data, and reduces the possibility of errors in test results.

In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

Example 1:

As shown in Figure 1, this embodiment provides an SOA testing method for switching power supply MOS tubes, which includes the following steps:

S1: Build a Python-based SOA test platform.

Specifically: use the QThread multi-threading method to build the platform architecture and separate the UI interface and the test program; use the PyQt library for graphical programming, and use the QSS language to edit the operation logic and build the operation interface; use the pythonwin32process library to call the Windows system API for testing tasks Instant suspension and resumption of threads.

The specific construction process can be modified on the existing SOA automated testing platform, abandoning the more limited Tkinter library and using the PyQt library for graphical programming, combined with the QSS language, to make the operation logic more intuitive and the operation interface more friendly. First, the QThread multi-threading method is used to reconstruct the system and separate the UI interface and the test program to ensure the smoothness of the operation interface; secondly, by calling the Windows system API through the python win32process library, the test task thread can be paused and resumed instantly. This gives test engineers great freedom, allowing test engineers to intervene in the automated testing process and make changes at any time.

S2: Start the Python-based SOA test platform, load the board information, select the power supply line to be tested, and create an independent test thread.

First, start the Python-based SOA test platform. Then, the board information is loaded, and the present invention clarifies that the input signals in the SOA test are "VDS" and "Input Current", not "Output Current". Finally, select the Power Rail that needs to be tested, confirm the information, publish the test task, and create an independent test thread.

S3: After the test thread is created, the test resource is called by calling the internal defined function and the test scenario is executed.

The present invention clarifies that the test scenarios of SOA testing include three test scenarios, namely "Turn on with 100% load", "Open short", and "Short Open", and accordingly automatically calls test resources for testing.

S4: During the execution of the test scenario, if a user interrupt is received, it will be processed first.

During the test, if the test engineer has objections to the test process, he or she can initiate a user interruption. The Python-based SOA test platform will call the Windows API to respond immediately and suspend the test thread. After the test engineer handles it properly, the test thread can be resumed.

S5: After the current test scenario ends, generate test data and recommended data calibration, and generate data calibration of the test data based on the recommended data calibration.

Specifically, the test data is calibrated by default according to the SOA test specifications, that is, the maximum voltage, maximum current, and switching time during the switching process of the MOS tube. At the same time, the test engineer's right to modify is retained.

S6: Determine whether all current test scenarios have been tested; if so, go to step S7; if not, go to step S6.1.

S6.1: Select to execute any untested test scenario and go to step S3.

S7: Analyze and calculate the test data of all test scenarios and generate test results.

First, start the preset algorithm to calculate the data calibration of the test data of the three test scenarios and generate the data calibration results. Then, use the python matplotlib library to draw the logarithmic curve coordinate axes, generate a reference coordinate plot, and plot the data calibration results on the reference coordinate plot. Finally, compare the reference coordinate diagram with the SOA curve in the preset MOSFET Datasheet. If the test result is below the SOA curve, the test result is Pass, otherwise the test result is Fail.

This embodiment provides a SOA testing method for switching power supply MOS tubes. It reconstructs the existing Python-based automated testing platform to achieve a rational implementation of user interrupts, optimizes the test operation interface, and targets common problems during the test process. problems, such as input signal errors, data calibration errors, etc., the present invention correctly sets them, ensuring the accuracy and flexibility of the settings, thereby standardizing the test process. At the same time, the present invention also has an auxiliary analysis tool for test results, automatically calculates test data, and reduces the possibility of errors in test results.

Example 2:

Based on the first embodiment, as shown in Figure 2, the present invention also discloses an SOA test system for switching power supply MOS tubes, including: a platform construction unit 1, a test thread creation unit 2, a test scenario execution unit 3, and a data calibration unit 4 and calculation unit 5.

Platform building unit 1 is used to build a Python-based SOA test platform. Platform building unit 1 is specifically used for:

Use the QThread multi-threading method to build the platform architecture and separate the UI interface and the test program; use the PyQt library for graphical programming, and use the QSS language to edit the operation logic and build the operation interface; call the Windows system API through the python win32process library to test the task thread Instant pause and resume.

Test thread creation unit 2 is used to start the Python-based SOA test platform. After loading the board information, select the power supply line to be tested and create an independent test thread. Test thread creation unit 2 is specifically used for:

Start the Python-based SOA test platform; load the board information, read the VDS signal and InputCurrent signal of the board; select the power supply line to be tested, and create an independent test thread.

The test scenario execution unit 3 is used to complete the invocation of test resources by calling internally defined functions and execute the test scenario. This unit is only used to execute three test scenarios, namely "Turn on with 100% load", "Open short", "Short Open", and automatically call test resources for testing accordingly.

The data calibration unit 4 is used to generate test data and recommended data calibration, and generate data calibration of the test data based on the recommended data calibration. This unit performs default calibration on the test data in accordance with the SOA test specifications, that is, the maximum voltage, maximum current, and switching time during the switching process of the MOS tube. It also reserves the right of the test engineer to modify.

Computing unit 5 is used to analyze and calculate the test data of all test scenarios and generate test results. Computing unit 5 is specifically used for:

Start the preset algorithm to calculate the data calibration of the test data and generate the data calibration results; use the pythonmatplotlib library to draw the logarithmic curve coordinate axis, generate a reference coordinate diagram, and draw the data calibration results on the reference coordinate diagram. Compare the reference coordinate diagram with the SOA curve in the preset MOSFET Datasheet. If the test result is below the SOA curve, the test result is Pass, otherwise the test result is Fail.

This embodiment provides an SOA testing system for switching power supply MOS tubes, which is combined with the existing Python-based automated testing platform to realize automated testing of the SOA of switching power supply MOS tubes, and performs on the existing Python-based automated testing platform. refactored. This embodiment uses a reasonable test data analysis scheme for the test data of all test scenarios to make SOA testing more standardized.

Embodiment three:

This embodiment discloses an SOA testing device for a switching power supply MOS tube, which includes a processor and a memory; wherein the processor implements the following steps when executing the SOA testing program for the switching power supply MOS tube stored in the memory:

Step 1: Run the Python-based SOA test platform. After loading the board information, select the PowerRail that needs to be tested. After confirming the information, publish the test task. The system will create an independent test thread.

Step 2: After the test thread is created, the Python-based SOA test platform calls internally defined functions to automatically call test resources and execute common test scenarios. During this process, the Python-based SOA test platform will automatically analyze whether the test scenario meets the SOA test requirements, and automatically calibrate the probe to reduce test errors.

Step 3: During the test process, if the test engineer has objections to the test process, he or she can initiate a user interruption. The Python-based SOA test platform will call the Windows API to respond immediately and suspend the test thread. It can be resumed after the test engineer handles it properly. Test thread.

Step 4: After the current test scenario ends, the Python-based SOA test platform will provide recommended data calibration, and the test engineer can confirm and modify it. After completing the data calibration, the next test scenario will be executed and return to step 2. If all scenarios have been tested, continue to step 5;

Step 5: Analyze and calculate the test data in the three test scenarios, mark the test results in the SOA curve, and compare it with the SOA curve in the MOSFET Datasheet. If the test result is below the SOA curve, the test result is "Pass ”, otherwise it is “Fail”.

Furthermore, the SOA test device of the switching power supply MOS tube in this embodiment may also include:

The input interface is used to obtain the SOA test program of the switching power supply MOS tube imported from the outside world, and save the obtained SOA test program of the switching power supply MOS tube to the memory. It can also be used to obtain various data transmitted by the external terminal equipment. Instructions and parameters are transmitted to the processor so that the processor can use the above various instructions and parameters to carry out corresponding processing. In this embodiment, the input interface may specifically include but is not limited to a USB interface, a serial interface, a voice input interface, a fingerprint input interface, a hard disk reading interface, etc.

The output interface is used to output various data generated by the processor to the terminal device connected to it, so that other terminal devices connected to the output interface can obtain various data generated by the processor. In this embodiment, the output interface may specifically include but is not limited to a USB interface, a serial interface, etc.

The communication unit is used to establish a remote communication connection between the SOA test device of the switching power supply MOS tube and the external server, so that the SOA test device of the switching power supply MOS tube can mount the image file to the external server. In this embodiment, the communication unit may specifically include, but is not limited to, a remote communication unit based on wireless communication technology or wired communication technology.

The keyboard is used to obtain various parameter data or instructions input by the user by tapping the keycaps in real time.

The display is used to display relevant information in real time during the short circuit positioning process of the server's power supply line.

The mouse can be used to assist users in data input and simplify user operations.

This embodiment provides an SOA testing device for switching power supply MOS tubes, realizes SOA automated testing of MOS tubes, standardizes the testing process, provides auxiliary analysis tools for test results, can automatically calculate test data, and reduces the occurrence of test results. Possibility of error.

Embodiment 4:

This embodiment also discloses a readable storage medium. The readable storage medium mentioned here includes random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, Register, hard disk, removable hard disk, CD-ROM or any other form of storage medium known in the technical field. The SOA test program of the switching power supply MOS tube is stored in the readable storage medium. When the SOA test program of the switching power supply MOS tube is executed by the processor, the following steps are implemented:

Step 1: Run the Python-based SOA test platform. After loading the board information, select the PowerRail that needs to be tested. After confirming the information, publish the test task. The system will create an independent test thread.

Step 2: After the test thread is created, the Python-based SOA test platform calls internally defined functions to automatically call test resources and execute common test scenarios. During this process, the Python-based SOA test platform will automatically analyze whether the test scenario meets the SOA test requirements, and automatically calibrate the probe to reduce test errors.

Step 3: During the test process, if the test engineer has objections to the test process, he or she can initiate a user interruption. The Python-based SOA test platform will call the Windows API to respond immediately and suspend the test thread. It can be resumed after the test engineer handles it properly. Test thread.

Step 4: After the current test scenario ends, the Python-based SOA test platform will provide recommended data calibration, and the test engineer can confirm and modify it. After completing the data calibration, the next test scenario will be executed and return to step 2. If all scenarios have been tested, continue to step 5;

Step 5: Analyze and calculate the test data in the three test scenarios, mark the test results in the SOA curve, and compare it with the SOA curve in the MOSFET Datasheet. If the test result is below the SOA curve, the test result is "Pass ”, otherwise it is “Fail”.

This embodiment provides a readable storage medium, which implements a rational user interrupt implementation method based on the existing automated test platform, optimizes the test operation interface, and enables a higher degree of freedom in the test process. It solves the problem that MOSFET SOA cannot be connected to the automated test system, and uses a reasonable test data analysis solution to make SOA testing more standardized.

In addition, the present invention can also be extended to other automated testing platforms, making the application range of automated testing wider, the interactivity with testers better, and the testing efficiency higher.

Each embodiment in this specification is described in a progressive manner. Each embodiment focuses on its differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. As for the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple. For relevant details, please refer to the description in the method section.

Those skilled in the art may further realize that the units and algorithm steps of each example described in connection with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of both. In order to clearly illustrate the possible functions of hardware and software, Interchangeability, in the above description, the composition and steps of each example have been generally described according to functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered to be beyond the scope of the present invention.

In the several embodiments provided by the present invention, it should be understood that the disclosed systems, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of the system or unit, which may be in electrical, mechanical or other forms.

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

In addition, each functional module in various embodiments of the present invention can be integrated into a processing unit, or each module can exist physically alone, or two or more modules can be integrated into one unit.

Similarly, each processing unit in various embodiments of the present invention may be integrated into one functional module, or each processing unit may exist physically, or two or more processing units may be integrated into one functional module.

The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly in hardware, in software modules executed by a processor, or in a combination of both. Software modules may be located in random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or anywhere in the field of technology. any other known form of storage media.

Finally, it should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or any such actual relationship or sequence between operations. Furthermore, the terms "comprises," "comprises," or any other variations thereof are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements, but also those not expressly listed other elements, or elements inherent to the process, method, article or equipment. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article, or apparatus that includes the stated element.

The above has introduced in detail the batch upgrade method, system, device and readable storage medium of RBD virtual machines provided by the present invention. This article uses specific examples to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method and the core idea of the present invention. It should be noted that those skilled in the art can make several improvements and modifications to the present invention without departing from the principles of the present invention, and these improvements and modifications also fall within the scope of the claims of the present invention.

Claims (8)

1. The SOA test method for the switching power supply MOS tube is characterized by comprising the following steps of:

s1: constructing an SOA test platform based on Python;

s2: starting an SOA test platform based on Python, selecting a power supply line to be tested after loading the board card information, and creating an independent test thread;

s3: after the test thread is created, the call of the test resource is completed by calling the internal definition function, and the test scene is executed;

s4: in the process of executing the test scene, if receiving the user interrupt, processing preferentially;

s5: after the current test scene is finished, generating test data and recommended data calibration, and generating data calibration of the test data according to the recommended data calibration;

s6: judging whether all current test scenes are tested; if yes, go to step S7; if not, selecting and executing any untested test scene, and turning to step S3;

s7: analyzing and calculating the test data of all the test scenes, and generating test results;

the step S1 includes:

constructing a platform architecture by using a QThread multithreading method, and separating a UI interface and a test program;

adopting a PyQt library of graphical programming, and editing operation logic by using a QSS language to construct an operation interface;

instant suspension and recovery of the test task thread are carried out by calling the Windows system API through the pythonwin32process library;

the test scene comprises: turnonwith100% load;

the step S7 includes:

starting a preset algorithm to calculate data calibration of the test data, and generating a data calibration result;

drawing a double logarithmic curve coordinate axis by using a pythonomatoplotlib library to generate a reference coordinate graph;

drawing a data calibration result on a reference coordinate graph;

comparing the reference coordinate graph with an SOA curve in a preset MOSFETDatasheet, if the test result is below the SOA curve, the test result is Pass, otherwise, the test result is Fail.

2. The SOA test method of a switching power supply MOS transistor according to claim 1, wherein the step S2 includes:

starting an SOA test platform based on Python;

loading the board card information, and reading a VDS signal and an inputCurrent signal of the board card;

the power supply line to be tested is selected and an independent test thread is created.

3. The SOA test method of a switching power supply MOS transistor according to claim 1, wherein the test scenario further comprises: openshort and ShortOpen.

4. The SOA test method of a switching power supply MOS transistor according to claim 1, wherein the step S4 includes:

in the process of executing the test scene, if a test engineer is objection to the test process, manually initiating user interruption; and the SOA test platform calls the WindowsAPI to respond immediately after receiving the user interrupt, and suspends the test thread until the test thread is restored after the user interrupt is canceled.

5. The SOA test method of a switching power supply MOS transistor according to claim 1, wherein the test data includes a maximum voltage, a maximum current and a switching time of the MOS transistor during switching.

6. A system configured to perform the SOA test method of the switching power supply MOS transistor of claim 1, comprising:

the platform construction unit is used for constructing an SOA test platform based on Python;

the test thread creation unit is used for starting the SOA test platform based on Python, selecting a power supply line to be tested after loading the board card information, and creating an independent test thread;

the test scene execution unit is used for completing the call of the test resource by calling the internal definition function and executing the test scene;

the data calibration unit is used for generating test data and recommended data calibration, and generating data calibration of the test data according to the recommended data calibration;

the calculation unit is used for analyzing and calculating the test data of all the test scenes and generating test results.

7. The SOA testing device of the switching power supply MOS tube is characterized by comprising:

the memory is used for storing an SOA test program of the switching power supply MOS tube;

the processor is used for realizing the steps of the SOA testing method of the switching power supply MOS tube according to any one of claims 1 to 5 when the SOA testing program of the switching power supply MOS tube is executed.

8. A readable storage medium, characterized by: the readable storage medium stores an SOA test program of the switching power supply MOS transistor, and the SOA test program of the switching power supply MOS transistor realizes the steps of the SOA test method of the switching power supply MOS transistor according to any one of claims 1 to 5 when executed by the processor.