Abnormality detection method for embedded power supply module

Abstract

The invention belongs to the technical field of power supply module detection, and particularly relates to an embedded power supply module anomaly detection method, which comprises the following steps of: 1, acquiring operation data of a to-be-detected power supply module, the operation data comprising electrical parameter data of the to-be-detected power supply module; 2, calculating an operation risk assessment coefficient # imgabs0 # of the to-be-detected power supply module through the electrical parameter data of the to-be-detected power supply module, and analyzing the operation risk of the to-be-detected power supply module; 3, dividing the operation environment of the power module into an abnormal operation environment and a repeated detection environment based on the operation risk analysis of the to-be-detected power module, and analyzing the potential risk degree of the to-be-detected power module in the repeated detection environment; 4, performing rated output voltage regulation analysis and rated output voltage repeated analysis on the to-be-detected voltage module in a repeated detection environment so as to improve the anomaly detection precision; and meanwhile, operation data detection frequency feedback analysis is carried out in a repeated detection environment.

Description

Technical Field

[0001] The invention belongs to the technical field of power module detection, in particular to an abnormality detection method for an embedded power module. Background Art

[0002] Embedded power supplies are usually embedded in integrated communication cabinets and other equipment to provide basic DC power to communication and data equipment in the same cabinet. They are safe, reliable, high-performance and versatile power supply equipment. During daily use, the power module needs to be detected for abnormalities.

[0003] The prior art also proposes some solutions for abnormal detection of power modules. For example, a Chinese patent application with publication number CN106842067A discloses a power module detection system, which mainly includes: a measurement and control part, a power system, a load system and a test device. The measurement and control part is provided with a measurement and control console and auxiliary instruments. The measurement and control part is provided with a circuit breaker to protect the incoming lines of each device. The measurement and control part establishes manual and automatic control connections with the power system. The power system mainly includes a power cabinet and a control cabinet, a loading device, and an adapter. The power system panel cabinet uses a piano-style operating table that is easy to operate and maintain. The power module detection system is detected through the measurement and control part, and the degree of automation is higher.

[0004] Although the above technical solution performs detection through the measurement and control part and has a higher degree of automation, there are still other problems in the specific detection. The current detection method has problems such as untimely detection, poor adaptability, and waste of resources, and cannot meet the needs of high-precision and high-efficiency detection.

[0005] To this end, the present invention provides an abnormality detection method for an embedded power module. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: an abnormality detection method of an embedded power module described in the present invention comprises the following steps: Step 1: collecting operating data of the power module to be detected, wherein the operating data includes electrical parameter data of the power module to be detected; Step 2: Calculate the operation risk assessment coefficient of the power module to be tested based on the electrical parameter data of the power module to be tested , and analyze the operation risk of the power module to be tested; Step 3: Based on the operation risk analysis of the power module to be tested, the operation environment of the power module is divided into an abnormal operation environment and a repeated detection environment, and the potential risk of the power module to be tested is analyzed in the repeated detection environment; Step 4: Perform the rated output voltage adjustment analysis and rated output voltage repetition analysis of the voltage module to be tested in a repeated testing environment to improve the accuracy of abnormality detection; at the same time, perform feedback analysis on the running data detection frequency in a repeated testing environment to improve the detection adaptability.

[0008] Preferably, the operation risk analysis of the power module to be detected is as follows: Obtaining a period of operation time of the power module to be detected, and marking the operation time as a time threshold, obtaining operation data of the power module to be detected within the time threshold, wherein the operation data includes electrical parameter data of the power module to be detected, and the electrical parameter data includes a voltage fluctuation value and a current fluctuation value of the power module to be detected; Calculate the operation risk assessment coefficient of the power module to be tested based on the voltage fluctuation value and current fluctuation value of the power module to be tested , and the operational risk assessment factor Compare and analyze with the preset operation risk assessment coefficient threshold: If the operating risk assessment factor If the ratio between the threshold and the preset operation risk assessment coefficient is greater than or equal to 1, the corresponding power module to be detected is operating abnormally; If the operating risk assessment factor If the ratio between the power module to be tested and the preset operation risk assessment coefficient threshold is less than 1, the corresponding power module to be tested is tested repeatedly.

[0009] Preferably, the operation risk assessment coefficient of the power module to be detected is calculated based on the voltage fluctuation value and current fluctuation value of the power module to be detected. Specifically: The voltage fluctuation value is the difference between the output voltage of the power module to be detected and the rated output voltage, and then the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold for the first time. The product of the time difference between the time points and the voltage fluctuation value is marked as ; It should be noted that if the voltage fluctuation value The smaller the value, the greater the possibility of abnormality in the power module; The current fluctuation value is the difference between the output current of the power module to be detected and the rated output current, and then the difference between the output current of the power module to be detected and the rated output current exceeds the rated output current difference threshold for the first time. The product of the time difference between the time points, and the current fluctuation value is marked as ; It should be noted that if the current fluctuation value The smaller the value, the greater the possibility of abnormality in the power module; Including: Operation risk assessment coefficient ; and The preset proportional factor coefficients for the current fluctuation value and the voltage fluctuation value are respectively used to correct the deviation of various parameters in the process of formula calculation, so as to make the calculation result more accurate (wherein the rated output voltage and the rated output current are the threshold values ​​of the output voltage and the output current); Specifically, when calculating the voltage fluctuation value and the current fluctuation value, it is necessary to first calculate the difference m between the output voltage of the power module and the rated output voltage, and calculate the initial operation time point of the power module and the time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold for the first time. The time difference L between the time points is then multiplied by the time difference L and the difference m to obtain the voltage fluctuation value. If the time difference L is small, it means that the output voltage of the voltage module is abnormal within a shorter period of time, indicating that the possibility of abnormality in the power module is greater. The calculation method of the current fluctuation value is similar to that of the voltage fluctuation value.

[0010] Preferably, the potential risk analysis process of the power module to be detected is as follows: When the corresponding power module to be detected is repeatedly detected, the ripple voltage coefficient of the power module to be detected is calculated, and the ripple voltage coefficient of the power module to be detected is compared with a preset ripple voltage coefficient threshold: If the ripple voltage coefficient of the power module to be detected is greater than a preset ripple voltage coefficient threshold, the corresponding power module to be detected operates abnormally; The ripple voltage coefficient includes the ratio of the effective value of the output ripple voltage to the output DC voltage.

[0011] Preferably, the rated output voltage regulation analysis process is as follows: Obtain the difference between the output voltage of the power module to be detected and the rated output voltage within the time threshold, which exceeds the rated output voltage difference threshold. times and mark them as , and the time between two adjacent intervals, and the time between two adjacent intervals is used to establish a voltage time difference set M; ;in The difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time within the time threshold. The time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the second time , and so on; calculate the mean of the time difference set and mark the mean as ; The sum of the values ​​in the time difference set and the mean Compare and it will be greater than the mean The time difference is marked as the potential impact value, and the number of potential impact values ​​in the time difference set is obtained, and the number is marked , which will be less than the mean The time difference is marked as a clear impact value, and the number of clear impact values ​​in the time difference set is obtained and marked as ; The number of potential impact values and the number of explicit impact values Perform comparative analysis: If the number of potential impact values The number of explicit impact values If the ratio is greater than or equal to 1, the rated output voltage is not adjusted; If the number of potential impact values The number of explicit impact values If the ratio is less than 1, the analysis is repeated for the rated output voltage.

[0012] Preferably, the rated output voltage repetition analysis is specifically as follows: Calculate the operating temperature risk value within the time threshold. If the operating temperature risk value is greater than or equal to the preset operating temperature risk value threshold, then the number of potential impact values ​​is The number of explicit impact values When the ratio is less than 1, the rated output voltage difference threshold No regulation; If the operating temperature risk value is less than the preset operating temperature risk value threshold, then the number of potential impact values The number of explicit impact values When the ratio is less than 1, the rated output voltage difference threshold adjust.

[0013] Preferably, the operating temperature risk value is the ratio of the difference between the initial operating temperature and the maximum operating temperature of the power module to be tested during operation to the time between the initial operating temperature and the maximum operating temperature during operation obtained after data normalization processing.

[0014] Preferably, the potential impact value refers to the time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time within the time threshold. The size of the time; The impact value refers to the first time that the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold within the time threshold. The size of the time, where the potential impact value is greater than the explicit impact value.

[0015] Preferably, the operation data detection frequency feedback analysis is as follows: Within the time threshold, the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold. frequency , based on the number of Calculate the running data detection frequency coefficient and mark it as Ty. If the operating data detection frequency coefficient Ty is greater than or equal to 1, the operating data detection frequency is increased; If the operating data detection frequency coefficient Ty is less than 1, the operating data detection frequency is lowered.

[0016] Preferably, the operating data detection frequency coefficient ;in The difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold frequency; To detect the frequency coefficient correction value for the operating data; is the maximum value of the time difference in the voltage time difference set M, is the minimum time difference value in the voltage time difference set M; If the operating data detection frequency coefficient Ty is greater than or equal to 1, it means If it is greater than the correction value of the operating data detection frequency coefficient, it means that too many abnormalities occurred during this time, so the operating data detection frequency needs to be increased; If the operating data detection frequency coefficient Ty is less than 1, it means If it is less than the correction value of the operating data detection frequency coefficient, it means that the number of abnormalities occurring at this time is small, so the operating data detection frequency needs to be increased to reduce the waste of system resources.

[0017] The beneficial effects of the present invention are as follows: The present invention discloses an embedded power module abnormality detection method. The rated voltage load of the power module changes frequently. At this time, it is necessary to perform temperature detection during the frequent rated voltage load changes. If the operating temperature risk value is also abnormal during the frequent rated voltage changes, it indicates that the power module is operating abnormally; if the operating temperature risk value is not abnormal during the frequent rated voltage changes, it indicates that the power module can work normally during such frequent load changes, and the rated voltage needs to be adjusted. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Figure 1 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0021] Embodiment 1 like Figure 1 As shown, an embedded power module abnormality detection method according to an embodiment of the present invention, Embedded power supply is usually embedded in integrated communication cabinets and other equipment to provide DC basic power to communication and data equipment in the same cabinet. It is a safe, reliable, high-performance and universal power supply device. It includes the following steps: Step 1: collecting operating data of the power module to be detected, wherein the operating data includes electrical parameter data of the power module to be detected; Step 2: Calculate the operation risk assessment coefficient of the power module to be tested based on the electrical parameter data of the power module to be tested , and analyze the operation risk of the power module to be tested; Step 3: Based on the operation risk analysis of the power module to be tested, the operation environment of the power module is divided into an abnormal operation environment and a repeated detection environment, and the potential risk of the power module to be tested is analyzed in the repeated detection environment; Step 4: Perform the rated output voltage adjustment analysis and rated output voltage repetition analysis of the voltage module to be tested in a repeated testing environment to improve the accuracy of abnormality detection; at the same time, perform feedback analysis on the running data detection frequency in a repeated testing environment to improve the detection adaptability.

[0022] The operation risk analysis of the power module to be tested is as follows: Obtaining a period of operation time of the power module to be detected, and marking the operation time as a time threshold, obtaining operation data of the power module to be detected within the time threshold, wherein the operation data includes electrical parameter data of the power module to be detected, and the electrical parameter data includes a voltage fluctuation value and a current fluctuation value of the power module to be detected; Calculate the operation risk assessment coefficient of the power module to be tested based on the voltage fluctuation value and current fluctuation value of the power module to be tested , and the operational risk assessment factor Compare and analyze with the preset operation risk assessment coefficient threshold: If the operating risk assessment factor If the ratio between the threshold and the preset operation risk assessment coefficient is greater than or equal to 1, the corresponding power module to be detected is operating abnormally; If the operating risk assessment factor If the ratio between the threshold value of the operation risk assessment coefficient and the preset threshold value of the operation risk assessment coefficient is less than 1, the corresponding power module to be tested is tested repeatedly; Specifically, when an abnormality detection is required for an embedded power module, the voltage fluctuation value and current fluctuation value of the power module to be detected need to be obtained, and the operation risk assessment coefficient of the power module to be detected is calculated based on the voltage fluctuation value and the current fluctuation value. , and then through Compare and analyze the preset operation risk assessment coefficient threshold. If the ratio is greater than or equal to 1, it indicates that the operation risk assessment coefficient The value of is greater than the preset operation risk assessment coefficient threshold, that is, the voltage fluctuation value and the current fluctuation value are large. At this time, it indicates that the corresponding power module to be detected is operating abnormally, and the abnormality is processed. If the ratio is less than 1, it is necessary to continue to detect other factors.

[0023] Calculate the operation risk assessment coefficient of the power module to be tested based on the voltage fluctuation value and current fluctuation value of the power module to be tested Specifically: The voltage fluctuation value is the difference between the output voltage of the power module to be detected and the rated output voltage, and then the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold for the first time. The product of the time difference between the time points and the voltage fluctuation value is marked as ; It should be noted that if the voltage fluctuation value The smaller the value, the greater the possibility of abnormality in the power module; The current fluctuation value is the difference between the output current of the power module to be detected and the rated output current, and then the difference between the output current of the power module to be detected and the rated output current exceeds the rated output current difference threshold for the first time. The product of the time difference between the time points, and the current fluctuation value is marked as ; It should be noted that if the current fluctuation value The smaller the value, the greater the possibility of abnormality in the power module; Including: Operation risk assessment coefficient ; and The preset proportional factor coefficients for the current fluctuation value and the voltage fluctuation value are respectively used to correct the deviation of various parameters in the process of formula calculation, so as to make the calculation result more accurate (wherein the rated output voltage and the rated output current are the threshold values ​​of the output voltage and the output current); Specifically, when calculating the voltage fluctuation value and the current fluctuation value, it is necessary to first calculate the difference m between the output voltage of the power module and the rated output voltage, and calculate the initial operation time point of the power module and the time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold for the first time. The time difference L between the time points is then multiplied by the time difference L and the difference m to obtain the voltage fluctuation value. If the time difference L is small, it means that the output voltage of the voltage module is abnormal within a shorter period of time, indicating that the possibility of abnormality in the power module is greater. The calculation method of the current fluctuation value is similar to that of the voltage fluctuation value.

[0024] The potential risk analysis process of the power module to be tested is as follows: When the corresponding power module to be detected is repeatedly detected, the ripple voltage coefficient of the power module to be detected is calculated, and the ripple voltage coefficient of the power module to be detected is compared with a preset ripple voltage coefficient threshold: If the ripple voltage coefficient of the power module to be detected is greater than a preset ripple voltage coefficient threshold, the corresponding power module to be detected operates abnormally; The ripple voltage coefficient includes the ratio of the effective value of the output ripple voltage to the output DC voltage; Specifically, the voltage anomaly detection mainly focuses on whether the absolute value of the output voltage of the power module is within the preset threshold range, that is, the difference between the output voltage and the rated output voltage. When the ratio between the voltage fluctuation value and the preset operation risk assessment coefficient threshold is less than 1, it indicates that the voltage fluctuation value and the current fluctuation value are small, so it is necessary to continue to detect the ripple voltage. The ripple voltage abnormality detection mainly focuses on the ripple cost of the output voltage of the power module. The ripple voltage refers to the AC component superimposed on the DC voltage, which usually manifests as a small fluctuation in voltage. The ripple voltage coefficient is used to measure the relative size of these fluctuations. The ripple voltage coefficient includes the ratio of the effective value of the output ripple voltage to the output DC voltage, which is used to measure the proportion of the AC component (ie, ripple) in the output DC voltage. The smaller the ripple coefficient, the more stable the output DC voltage.

[0025] The rated output voltage regulation analysis process is as follows: Obtain the difference between the output voltage of the power module to be detected and the rated output voltage within the time threshold, which exceeds the rated output voltage difference threshold. times and mark them as , and the time between two adjacent intervals, and the time between two adjacent intervals is used to establish a voltage time difference set M; ;in The difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time within the time threshold. The time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the second time, and so on; calculate the mean of the time difference set and mark the mean as; The sum of the values ​​in the time difference set and the mean Compare and it will be greater than the mean The time difference is marked as the potential impact value, and the number of potential impact values ​​in the time difference set is obtained, and the number is marked , which will be less than the mean The time difference is marked as a clear impact value, and the number of clear impact values ​​in the time difference set is obtained and marked as ; The number of potential impact values and the number of explicit impact values Perform comparative analysis: If the number of potential impact values The number of explicit impact values If the ratio is greater than or equal to 1, the rated output voltage is not adjusted; If the number of potential impact values The number of explicit impact values If the ratio is less than 1, the rated output voltage is repeated for analysis; Specifically, in different usage scenarios of power modules, in abnormality detection of embedded power modules, the adjustment of rated output voltage and rated output current is the key to ensure detection accuracy and adaptability to different working conditions; The potential impact value refers to the time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time within the time threshold. If the potential impact value is larger, it means that the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time. The longer the time is, that is, the rated voltage load of the power module does not change frequently, then there is no need to change the rated voltage load at this time, that is, the rated voltage is not adjusted; The impact value refers to the first time that the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold within the time threshold. If the impact value is smaller, it means that the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time. The smaller the time is, that is, the rated voltage load of the power module changes frequently, then the rated voltage load needs to be changed at this time, that is, the rated voltage needs to be further analyzed to see whether it needs to be adjusted; The number of potential impact values The number of explicit impact values Indicates the number of times each occurs within this time threshold. If the ratio is greater than or equal to 1, it indicates that the rated voltage load of the power module does not change frequently. If the ratio is less than 1, the rated voltage load of the power module changes frequently, and the same is true for the rated current analysis.

[0026] The rated output voltage repetition analysis is as follows: Calculate the operating temperature risk value within the time threshold. If the operating temperature risk value is greater than or equal to the preset operating temperature risk value threshold, then the number of potential impact values ​​is The number of explicit impact values When the ratio is less than 1, the rated output voltage difference threshold No regulation; If the operating temperature risk value is less than the preset operating temperature risk value threshold, then the number of potential impact values The number of explicit impact values When the ratio is less than 1, the rated output voltage difference threshold adjust; Specifically, the smaller the impact value is, the more it indicates that the difference between the output voltage of the power module to be tested and the rated output voltage exceeds the voltage difference threshold for the first time. The smaller the time, the more frequent the rated voltage load of the power module changes. In this case, it is necessary to perform temperature detection during the frequent rated voltage load changes. If the operating temperature risk value is also abnormal during the frequent rated voltage changes, it indicates that the power module is operating abnormally. If the operating temperature risk value is not abnormal during the frequent rated voltage changes, it indicates that the power module can work normally during such frequent load changes, and the rated voltage needs to be adjusted. The specific adjustment methods are as follows: Dynamic load: If the load of the power module changes frequently, the voltage difference threshold can be appropriately relaxed to avoid misjudgment caused by instantaneous load changes. For example, for dynamic loads, the voltage threshold can be adjusted from +1% to +2%; Static load: For relatively stable loads, the voltage difference threshold can be tightened to improve detection accuracy.

[0027] The operating temperature risk value is a ratio obtained by normalizing the data between the difference between the initial operating temperature and the maximum operating temperature of the power module to be detected during the operation and the duration between the initial operating temperature and the maximum operating temperature during the operation.

[0028] The potential impact value refers to the time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time within the time threshold. The size of the time; The impact value refers to the first time that the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold within the time threshold. The size of the time, where the potential impact value is greater than the explicit impact value.

[0029] Embodiment 2 The operation data detection frequency feedback analysis is as follows: Within the time threshold, the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold. frequency , based on the number of Calculate the running data detection frequency coefficient and mark it as Ty. If the operating data detection frequency coefficient Ty is greater than or equal to 1, the operating data detection frequency is increased; If the operating data detection frequency coefficient Ty is less than 1, the operating data detection frequency is lowered; Specifically, when performing abnormality detection on the power module, the abnormality detection frequency determines the speed of collecting the power module operation data. If the detection frequency is too low, it may not be possible to capture rapidly changing abnormal conditions in time, such as instantaneous voltage fluctuations or current mutations caused by short circuits. Conversely, if the sampling frequency is too high, it will increase the system's computing burden and resource consumption. Therefore, dynamically adjusting the detection frequency according to the actual operating status of the power module is the key to improving detection adaptability, thereby reducing the waste of system resources.

[0030] The operating data detection frequency coefficient ;in The difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold frequency; To detect the frequency coefficient correction value for the operating data; is the maximum value of the time difference in the voltage time difference set M, is the minimum time difference value in the voltage time difference set M; If the operating data detection frequency coefficient Ty is greater than or equal to 1, it means If it is greater than the correction value of the operating data detection frequency coefficient, it means that too many abnormalities occurred during this time, so the operating data detection frequency needs to be increased; If the operating data detection frequency coefficient Ty is less than 1, it means If it is less than the correction value of the operating data detection frequency coefficient, it means that the number of abnormalities occurring at this time is small, so the operating data detection frequency needs to be increased to reduce the waste of system resources.

[0031] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0032] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A method for detecting abnormality of an embedded power module, characterized in that: The following steps are involved: Step 1: collecting operating data of the power module to be detected, wherein the operating data includes electrical parameter data of the power module to be detected; Step 2: Calculate the operation risk assessment coefficient of the power module to be tested based on the electrical parameter data of the power module to be tested , and analyze the operation risk of the power module to be tested; Step 3: Based on the operation risk analysis of the power module to be tested, the operation environment of the power module is divided into an abnormal operation environment and a repeated detection environment, and the potential risk of the power module to be tested is analyzed in the repeated detection environment; Step 4: Perform the rated output voltage adjustment analysis and rated output voltage repetition analysis of the voltage module to be tested in a repeated testing environment to improve the accuracy of abnormality detection; at the same time, perform feedback analysis on the running data detection frequency in a repeated testing environment to improve the detection adaptability.

2. The method for detecting abnormality of an embedded power module according to claim 1, characterized in that: The operation risk analysis of the power module to be tested is as follows: Obtaining a period of operation time of the power module to be detected, and marking the operation time as a time threshold, obtaining operation data of the power module to be detected within the time threshold, wherein the operation data includes electrical parameter data of the power module to be detected, and the electrical parameter data includes a voltage fluctuation value and a current fluctuation value of the power module to be detected; Calculate the operation risk assessment coefficient of the power module to be tested based on the voltage fluctuation value and current fluctuation value of the power module to be tested , and the operational risk assessment factor Compare and analyze with the preset operation risk assessment coefficient threshold: If the operating risk assessment factor If the ratio between the threshold and the preset operation risk assessment coefficient is greater than or equal to 1, the corresponding power module to be detected is operating abnormally; If the operating risk assessment factor If the ratio between the power module to be tested and the preset operation risk assessment coefficient threshold is less than 1, the corresponding power module to be tested is tested repeatedly.

3. The method for detecting abnormality of an embedded power module according to claim 2, characterized in that: Calculate the operation risk assessment coefficient of the power module to be tested based on the voltage fluctuation value and current fluctuation value of the power module to be tested Specifically: The voltage fluctuation value is the difference between the output voltage of the power module to be detected and the rated output voltage, and then the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold for the first time. The product of the time difference between the time points and the voltage fluctuation value is marked as ; The current fluctuation value is the difference between the output current of the power module to be detected and the rated output current, and then the difference between the output current of the power module to be detected and the rated output current exceeds the rated output current difference threshold for the first time. The product of the time difference between the time points, and the current fluctuation value is marked as ; Including: Operation risk assessment coefficient ; and The preset proportionality factor coefficients are respectively the current fluctuation value and the voltage fluctuation value.

4. The method for detecting abnormality of an embedded power module according to claim 3, characterized in that: The potential risk analysis process of the power module to be tested is as follows: When the corresponding power module to be detected is repeatedly detected, the ripple voltage coefficient of the power module to be detected is calculated, and the ripple voltage coefficient of the power module to be detected is compared with a preset ripple voltage coefficient threshold: If the ripple voltage coefficient of the power module to be detected is greater than a preset ripple voltage coefficient threshold, the corresponding power module to be detected operates abnormally; The ripple voltage coefficient includes the ratio of the effective value of the output ripple voltage to the output DC voltage.

5. The method for detecting abnormality of an embedded power module according to claim 4, characterized in that: The rated output voltage regulation analysis process is as follows: Obtain the difference between the output voltage of the power module to be detected and the rated output voltage within the time threshold, which exceeds the rated output voltage difference threshold. times and mark them as , and the time between two adjacent intervals, and the time between two adjacent intervals is used to establish a voltage time difference set M; ;in The difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time within the time threshold. The time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the second time The time difference, and so on; Calculate the mean of the time difference set and label the mean as ; The sum of the values ​​in the time difference set and the mean Compare and it will be greater than the mean The time difference is marked as the potential impact value, and the number of potential impact values ​​in the time difference set is obtained, and the number is marked , which will be less than the mean The time difference is marked as a clear impact value, and the number of clear impact values ​​in the time difference set is obtained and marked as ; The number of potential impact values and the number of explicit impact values Perform comparative analysis: If the number of potential impact values The number of explicit impact values If the ratio is greater than or equal to 1, the rated output voltage is not adjusted; If the number of potential impact values The number of explicit impact values If the ratio is less than 1, the analysis is repeated for the rated output voltage.

6. The method for detecting abnormality of an embedded power module according to claim 5, characterized in that: The rated output voltage repetition analysis is as follows: Calculate the operating temperature risk value within the time threshold. If the operating temperature risk value is greater than or equal to the preset operating temperature risk value threshold, then the number of potential impact values ​​is The number of explicit impact values When the ratio is less than 1, the rated output voltage difference threshold No regulation; If the operating temperature risk value is less than the preset operating temperature risk value threshold, then the number of potential impact values The number of explicit impact values When the ratio is less than 1, the rated output voltage difference threshold adjust.

7. The method for detecting abnormality of an embedded power module according to claim 6, characterized in that: The operating temperature risk value is a ratio obtained by normalizing the data between the difference between the initial operating temperature and the maximum operating temperature of the power module to be detected during the operation and the duration between the initial operating temperature and the maximum operating temperature during the operation.

8. The method for detecting abnormality of an embedded power module according to claim 6, characterized in that: The potential impact value refers to the time when the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold for the first time within the time threshold. The size of the time; The impact value refers to the first time that the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the voltage difference threshold within the time threshold. The size of the time, where the potential impact value is greater than the explicit impact value.

9. The method for detecting abnormality of an embedded power module according to claim 8, characterized in that: The operation data detection frequency feedback analysis is as follows: Within the time threshold, the difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold. frequency , based on the number of Calculate the running data detection frequency coefficient and mark it as Ty. If the operating data detection frequency coefficient Ty is greater than or equal to 1, the operating data detection frequency is increased; If the operating data detection frequency coefficient Ty is less than 1, the operating data detection frequency is lowered.

10. The method for detecting abnormality of an embedded power module according to claim 9, characterized in that: The operating data detection frequency coefficient ;in The difference between the output voltage of the power module to be detected and the rated output voltage exceeds the rated output voltage difference threshold frequency; To detect the frequency coefficient correction value for the operating data; is the maximum value of the time difference in the voltage time difference set M, It is the minimum time difference value in the voltage time difference set M.

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