Power supply product aging feedback method and system

Abstract

The invention discloses a power supply product aging feedback method and system, and the method comprises the steps: collecting a power supply data set related to the aging of a power supply product, and the power supply data set at least comprises current, voltage and power supply switching frequency; calculating the change rate of each power supply data based on the power supply data set; calculating an aging influence factor for quantifying the aging degree of the power supply product according to the change rate; and adaptively adjusting the output power of the power supply product according to the current aging influence factor so as to realize aging feedback. By utilizing the embodiment of the invention, the use efficiency of a power supply product can be improved, and the service life of the power supply product can be prolonged, so that the maintenance cost and the potential fault risk are reduced, and more reliable service is provided for power consumers.

Description

Technical Field

[0001] The present invention belongs to the technical field of power supply, and in particular to an aging feedback method and system for power supply products. Background Art

[0002] With the continuous increase in modern electricity demand, especially in high-power application scenarios such as large stadiums, performance venues and industrial facilities, the reliability and stability of power supply products are becoming increasingly important. Traditional power supply products will degrade in performance during long-term operation due to environmental factors, load changes and component aging, and may even cause power failures, resulting in economic losses and safety hazards. Therefore, timely detection and evaluation of the aging degree of power supply products is of great significance to extending their service life and ensuring the safe operation of the power system.

[0003] Existing technologies mainly use regular inspection and static evaluation methods to monitor the aging of power supply products. These methods usually rely on checking at preset time intervals and cannot obtain the status information of power supply products in real time, resulting in the inability to effectively respond in the early stages of aging. In addition, traditional methods often analyze data in a simple manner and lack the ability to dynamically track the aging process of power supply products. Therefore, these methods have obvious limitations in identifying power supply aging trends and taking necessary maintenance measures. Summary of the invention

[0004] The purpose of the present invention is to provide a power supply product aging feedback method and system to solve the deficiencies in the prior art, improve the use efficiency of power supply products, and extend their service life, thereby reducing maintenance costs and potential failure risks, and providing more reliable services for power users.

[0005] An embodiment of the present application provides a power supply product aging feedback method, the method comprising:

[0006] Collecting a power data set associated with aging of a power product, wherein the power data set includes at least: current, voltage, and power switching frequency;

[0007] Based on the power data set, calculating the change rate of each power data;

[0008] Calculating, based on the rate of change, an aging impact factor for quantifying the degree of aging of the power supply product;

[0009] According to the current aging influence factor, the output power of the power supply product is adaptively adjusted to achieve aging feedback.

[0010] Optionally, the method further includes:

[0011] Synchronously collect an environmental data set of the environment in which the power supply product is located, wherein the environmental data set at least includes: environmental temperature and environmental humidity;

[0012] The calculating, according to the change rate, an aging influence factor for quantifying the aging degree of the power supply product comprises:

[0013] Calculating, based on the change rate, a first aging influencing factor for quantifying the aging degree of the power supply product;

[0014] The environmental data set and the first aging impact factor are combined to calculate a second aging impact factor that accumulates environmental impact and quantifies the aging degree of the power supply product.

[0015] Optionally, the calculation formula of the first aging influencing factor is:

[0016]

[0017] Among them, the ADFI is the first aging influencing factor, the R_j is the change rate of the i-th power supply data, the w_j is the weight coefficient corresponding to the i-th power supply data, and n is the number of power supply data.

[0018] Optionally, the step of combining the environmental data set and the first aging impact factor to calculate a second aging impact factor that accumulates environmental impact and quantifies the aging degree of the power supply product includes:

[0019] Calculate the average temperature and average humidity during the data collection period;

[0020] A second aging influence factor that accumulates environmental influences and quantifies the aging degree of the power supply product is calculated according to the first aging influence factor, the average temperature, and the average humidity.

[0021] Optionally, the calculation formula of the second aging impact factor is:

[0022] CAIF=ADFI·(1+k_1·T_avg+k_2·H_avg)

[0023] Wherein, the CAIF is the second aging influencing factor, the T_avg is the average temperature during the data collection period, the H_avg is the average humidity during the data collection period, and the k_1 and k_2 are corresponding aging coefficients.

[0024] Optionally, the step of adaptively adjusting the output power of the power supply product according to the current aging influence factor includes:

[0025] If the current aging impact factor is greater than the preset aging threshold, the output power of the power supply product is adjusted according to the following formula:

[0026]

[0027] Among them, the P_{out} is the adjusted output power, the P_{max} is the maximum rated power of the power supply product, the CAIF_{threshold} is the preset aging threshold, the CAIF_{max} is the historical maximum aging impact factor, and k is the adjustment coefficient.

[0028] Another embodiment of the present application provides a power supply product aging feedback system, the system comprising:

[0029] A collection module, used to collect a power data set associated with the aging of the power product, wherein the power data set at least includes: current, voltage and power switching frequency;

[0030] A first calculation module, configured to calculate a change rate of each power data based on the power data set;

[0031] A second calculation module is used to calculate an aging influence factor for quantifying the aging degree of the power supply product according to the change rate;

[0032] The adjustment module is used to adaptively adjust the output power of the power supply product according to the current aging influence factor to achieve aging feedback.

[0033] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0034] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0035] Compared with the prior art, the present invention provides a power product aging feedback method, which collects a power data set associated with the aging of the power product, wherein the power data set includes at least: current, voltage and power switching frequency; based on the power data set, calculates the change rate of each power data; according to the change rate, calculates the aging influence factor that quantifies the aging degree of the power product; according to the current aging influence factor, adaptively adjusts the output power of the power product to achieve aging feedback, thereby improving the use efficiency of the power product and extending its service life, thereby reducing maintenance costs and potential failure risks, and providing more reliable services for power users. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1A hardware structure block diagram of a computer terminal for a power product aging feedback method provided by an embodiment of the present invention;

[0037] Figure 2 A schematic diagram of a flow chart of a power product aging feedback method provided by an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of the structure of a power product aging feedback system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0040] The embodiment of the present invention first provides a method for aging feedback of a power supply product. The method can be applied to electronic equipment, such as a computer terminal, specifically a common computer, etc.

[0041] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of a power product aging feedback method provided by an embodiment of the present invention. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0042] The memory 104 can be used to store software programs and modules of application software, such as program instructions / modules corresponding to the power product aging feedback method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0043] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0044] See also Figure 2 , an embodiment of the present invention provides a power supply product aging feedback method, which may include the following steps:

[0045] S201, collecting a power data set associated with aging of a power product, wherein the power data set includes at least: current, voltage, and power switching frequency;

[0046] In this step, power data sets related to the aging of power products are collected, mainly including current, voltage and power switching frequency. These data are the basic operating parameters of power products in the actual working environment, which can reflect the performance of the equipment under different load conditions. Through the real-time collection of these key parameters, we can deeply understand the working status of the equipment, provide the necessary basic data for the subsequent analysis of the aging degree, and then realize the comprehensive monitoring and evaluation of the aging process of power products.

[0047] Specifically, high-precision current and voltage sensors can be installed at key parts of power supply products to ensure that the output current and voltage values ​​of the power supply can be accurately captured. At the same time, a high-frequency data acquisition module is used to monitor the switching frequency of the power supply. A data acquisition system (such as a data logger) is used to record sensor data in real time. This device can store the collected data and transmit it to the data processing system regularly. The collected current, voltage and switching frequency data are transferred to the central database for archiving to ensure the integrity and traceability of the data. A database management system is used to store and manage the data for subsequent query and analysis.

[0048] The significance of collecting power data sets is that by real-time monitoring of current, voltage and switching frequency, we can effectively identify equipment aging trends and performance degradation, thereby achieving early fault warning. This not only helps optimize maintenance decisions and extend equipment life, but also supports data-driven design improvements, making power products more reliable and efficient in future production and operation. In addition, systematic monitoring and evaluation also provide strong support for enterprises to reduce operational risks and improve overall production efficiency.

[0049] S202, calculating a change rate of each power data based on the power data set;

[0050] In this step, for the collected power data set (including current, voltage and power switching frequency), the change rate of each power data is calculated by performing time series analysis on the data. The change rate is usually defined as the ratio of the change in data value to time in a specific time period, reflecting the dynamic characteristics of the data during operation. For example, the change rate of current can be obtained by comparing the current values ​​at consecutive time points (such as the current value at the current moment minus the current value at the previous moment and then divided by the time difference between the above two moments). The same calculation method is applicable to voltage and switching frequency. This process not only includes simple numerical difference calculations, but also more complex algorithms such as moving average, exponential smoothing, etc. can be applied according to different data characteristics to improve the accuracy and reliability of the calculation.

[0051] Specifically, a fixed time interval (such as every second or every minute) can be set for data collection to ensure that the collected data has the same time granularity, which is convenient for subsequent change rate calculation. For example, the ratio of the power data difference corresponding to two adjacent time points to the time interval can be calculated to obtain multiple change rates of the power data, and then the mean or median value of the multiple change rates is taken as the final change rate value.

[0052] Calculating the rate of change of each power supply data is of great significance. First, it can reveal the operating trend of power supply products during actual use, helping engineers identify performance changes of power supplies under specific load conditions. Second, by monitoring the rate of change, potential signs of aging can be identified, and preventive measures can be taken in time to reduce the risk of unexpected failures or performance degradation. In addition, the analysis of the rate of change also provides a basis for the calculation of subsequent aging influencing factors, making the entire aging feedback process more scientific and systematic, and helping to achieve more accurate dynamic adjustments.

[0053] S203, calculating an aging influence factor for quantifying the aging degree of the power supply product according to the change rate;

[0054] In this step, based on the power data change rate calculated previously, a specific algorithm or model is applied to quantify the aging degree of the power product. The aging factor is a comprehensive indicator that reflects the performance degradation of the power product during use by weighted calculation of each change rate. By combining the change rate of different power data with the weight coefficient, a quantitative assessment of the overall aging degree of the product can be achieved, laying the foundation for subsequent adaptive adjustment.

[0055] Calculating the aging impact factor has important guiding significance. First, it can provide a scientific basis for equipment maintenance and repair, help engineers to timely understand the health status of power products, and determine whether measures need to be taken to extend the service life of the equipment. Secondly, the quantitative analysis of the aging impact factor provides data support for the dynamic adjustment of output power. When the product ages to a certain extent, it can actively reduce the output power to prevent unexpected downtime due to overload or failure. Most importantly, by monitoring the changes in the aging impact factor, feedback data can be provided for product design improvement and optimization, promoting technological progress.

[0056] Furthermore, an environmental data set of the environment in which the power supply product is located may also be collected synchronously, wherein the environmental data set at least includes: environmental temperature and environmental humidity.

[0057] The purpose of this step is to collect key data about the environment in which the power supply product is located, namely, ambient temperature and humidity. These environmental factors have a significant impact on the performance and life of the power supply, especially in high temperature or humid environments, the power supply product may accelerate aging. By synchronously collecting this data, a more comprehensive reference can be provided for the subsequent calculation of aging influence factors.

[0058] The purpose of this step is to obtain a more accurate aging impact factor by comprehensively considering environmental factors. This not only enhances the accuracy of aging impact assessment, but also provides data support for optimizing the operating environment of power supply products, thereby effectively improving the reliability and service life of power supply products.

[0059] Specifically, in another manner, an aging impact factor for quantifying the aging degree of the power supply product calculated according to the change rate may be used as the first aging impact factor;

[0060] In this step, the first aging impact factor is calculated based on the collected change rate data. This factor is mainly calculated by assigning a weight coefficient to the change rate of each power supply data and then adding them up. In this way, the impact of different power supply parameters on the overall aging degree can be quantitatively analyzed, making it the basis for subsequent environmental factor analysis.

[0061] The calculation of the first aging impact factor provides basic data for subsequent steps, making the subsequent environmental impact analysis more scientific and reasonable. It allows designers to monitor the operating status of power products in real time and take necessary improvement measures in a targeted manner to improve the overall performance of the product.

[0062] Specifically, a calculation formula for the first aging influence factor may be:

[0063]

[0064] Wherein, ADFI is the first aging influencing factor, R_j is the rate of change of the ith power supply data, reflecting the dynamic characteristics of the data during the operation of the power supply. w_j is the weight coefficient corresponding to the ith power supply data, indicating the importance of the data to the overall aging degree. n is the number of power supply data.

[0065] The formula is designed to comprehensively evaluate the aging effect of power supply products by weighted summing the change rates of multiple power supply data. The change rate is converted into a value between 0 and 1 to reflect its nonlinear effect on the aging influencing factor, thereby avoiding evaluation distortion caused by extremely small or extremely large change rates.

[0066] The environmental data set and the first aging impact factor are combined to calculate a second aging impact factor that accumulates environmental impact and quantifies the aging degree of the power supply product.

[0067] This step aims to combine environmental factors with the first aging influencing factor to further calculate the second aging influencing factor. Combined with ambient temperature and humidity, the aging degree of the power supply product can be quantified more comprehensively. In this way, this aging factor can reflect the comprehensive impact of the environment on the aging of the power supply and provide a more accurate evaluation result. The role of this step is to more accurately predict the aging trend of the power supply product by incorporating the impact of environmental factors into the evaluation system. It enhances the controllability of the aging process and provides a more accurate basis for subsequent adaptive adjustments, which ultimately helps to extend the service life of the equipment and improve its stability.

[0068] Specifically, the average temperature and average humidity during the data collection period can be calculated;

[0069] In this step, the average temperature and average humidity during the data collection period are calculated for the synchronously collected environmental data set. This process is usually completed by adding the ambient temperature and humidity values ​​of all time points and dividing by the total number of time points. This step is intended to provide the average value of environmental factors for the subsequent calculation of aging influencing factors.

[0070] The significance of calculating the average temperature and humidity is that these values ​​can provide more representative environmental parameters for the aging assessment of power supply products, making the subsequent calculation of aging influencing factors more accurate and enhancing the adaptability and reliability of the model to the actual environment.

[0071] A second aging influence factor that accumulates environmental influences and quantifies the aging degree of the power supply product is calculated according to the first aging influence factor, the average temperature, and the average humidity.

[0072] In this step, the calculated first aging impact factor is combined with the previously obtained average temperature and humidity to calculate the second aging impact factor. This process comprehensively considers the impact of environmental factors on the aging of power products, thereby providing a more comprehensive aging assessment.

[0073] By calculating the second aging impact factor, the aging degree of power products can be quantified more comprehensively, and potential risks caused by environmental changes can be effectively identified. This provides more sufficient data support for the maintenance and management of power products, so that appropriate measures can be taken to extend the service life and stability of the products.

[0074] Specifically, a calculation formula for the second aging influence factor may be:

[0075] CAIF=ADFI·(1+k_1·T_avg+k_2·H_avg)

[0076] Wherein, the CAIF is the second aging influencing factor, the T_avg is the average temperature during the data collection period, the H_avg is the average humidity during the data collection period, and the k_1 and k_2 are corresponding aging coefficients.

[0077] The design of this formula is intended to combine the first aging impact factor (ADFI) with environmental impact factors to obtain the cumulative environmental impact factor (CAIF). By introducing weighted coefficients of temperature and humidity, the formula can effectively reflect the impact of environmental factors on the aging of power products. This structure can enhance the flexibility and adaptability of the calculation while ensuring that the aging assessment has a basis.

[0078] S204, adaptively adjusting the output power of the power supply product according to the current aging impact factor to achieve aging feedback.

[0079] In this step, the output power of the power supply product is dynamically adjusted based on the current aging impact factor (such as ADFI or CAIF) calculated by the above method. The value of the aging impact factor reflects the health status and aging degree of the power supply product. When the factor exceeds the preset threshold, the system will automatically reduce the output power to avoid failure or performance deterioration caused by equipment overload. This adaptive adjustment not only maintains the stability of the power supply system, but also ensures the reliability and safety of the equipment under different working conditions.

[0080] The purpose of this step is to effectively prevent equipment damage caused by aging through real-time monitoring and feedback of the health status of power products, thereby extending the service life of power products. At the same time, by dynamically adjusting the output power, the energy efficiency of the power system can be optimized, and energy waste and operating costs caused by aging can be reduced. In addition, this intelligent management method improves the safety performance and reliability of the entire set of power products, providing users with more stable services.

[0081] Specifically, if the current aging impact factor is greater than the preset aging threshold, the output power of the power supply product is adjusted according to the following formula:

[0082]

[0083] Among them, the P_{out} is the adjusted output power, and the P_{max} is the maximum rated power of the power supply product, which sets the upper limit of the output power to ensure that the equipment operates within a safe range. The CAIF_{threshold} is a preset aging threshold. When the aging impact factor exceeds this value, the power adjustment mechanism will be triggered to ensure that the equipment is in a safe operating state. The CAIF_{max} is the historical maximum aging impact factor, which provides a reference for the historical range of the aging impact factor, helps to perform relative positioning of power adjustment, and ensures reasonable power management based on past data. The k is an adjustment coefficient, which is used to control the sensitivity of the aging impact factor to the output power adjustment. Its value can be adjusted according to actual conditions to affect the magnitude of the output power reduction.

[0084] This formula is designed to effectively adjust the output power of the power supply product through a linear adjustment mechanism when the aging impact factor exceeds the safety threshold. By setting the maximum output power as the benchmark and combining it with the current aging impact factor (CAIF), a real-time feedback adjustment system is formed that can flexibly respond to different aging levels and ensure that the power supply equipment is always in the best working condition.

[0085] In this step, the system monitors the currently calculated aging impact factor. If the factor is greater than the preset aging threshold, it enters the adjustment mode. The system will dynamically calculate and adjust the output power of the power supply product according to the preset formula. This adjustment is based on real-time analysis of aging conditions and helps to respond to changes in equipment performance in a timely manner. By dynamically adjusting the output power of the power supply product, the equipment can be effectively prevented from overloading due to aging, thereby avoiding potential damage and failure. At the same time, timely power adjustment also helps to improve the energy efficiency of the system, reduce energy consumption, and ensure that the equipment can still operate safely and efficiently in the aging state.

[0086] It can be seen that a power data set associated with the aging of the power supply product is collected, wherein the power data set includes at least: current, voltage and power switching frequency; based on the power data set, the change rate of each power data is calculated; according to the change rate, the aging influence factor for quantifying the aging degree of the power supply product is calculated; according to the current aging influence factor, the output power of the power supply product is adaptively adjusted to achieve aging feedback, thereby improving the use efficiency of the power supply product and extending its service life, thereby reducing maintenance costs and potential failure risks, and providing more reliable services for power users.

[0087] Another embodiment of the present invention provides a power supply product aging feedback system, see Figure 3 , the system may include:

[0088] The acquisition module 301 is used to acquire a power data set associated with the aging of the power product, wherein the power data set at least includes: current, voltage and power switching frequency;

[0089] A first calculation module 302, configured to calculate a change rate of each power data based on the power data set;

[0090] A second calculation module 303 is used to calculate an aging influence factor for quantifying the aging degree of the power supply product according to the change rate;

[0091] The adjustment module 304 is used to adaptively adjust the output power of the power supply product according to the current aging impact factor to achieve aging feedback.

[0092] It can be seen that a power data set associated with the aging of the power supply product is collected, wherein the power data set includes at least: current, voltage and power switching frequency; based on the power data set, the change rate of each power data is calculated; according to the change rate, the aging influence factor for quantifying the aging degree of the power supply product is calculated; according to the current aging influence factor, the output power of the power supply product is adaptively adjusted to achieve aging feedback, thereby improving the use efficiency of the power supply product and extending its service life, thereby reducing maintenance costs and potential failure risks, and providing more reliable services for power users.

[0093] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0094] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps:

[0095] S201, collecting a power data set associated with aging of a power product, wherein the power data set includes at least: current, voltage, and power switching frequency;

[0096] S202, calculating a change rate of each power data based on the power data set;

[0097] S203, calculating an aging influence factor for quantifying the aging degree of the power supply product according to the change rate;

[0098] S204, adaptively adjusting the output power of the power supply product according to the current aging impact factor to achieve aging feedback.

[0099] It can be seen that a power data set associated with the aging of the power supply product is collected, wherein the power data set includes at least: current, voltage and power switching frequency; based on the power data set, the change rate of each power data is calculated; according to the change rate, the aging influence factor for quantifying the aging degree of the power supply product is calculated; according to the current aging influence factor, the output power of the power supply product is adaptively adjusted to achieve aging feedback, thereby improving the use efficiency of the power supply product and extending its service life, thereby reducing maintenance costs and potential failure risks, and providing more reliable services for power users.

[0100] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0101] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0102] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0103] S201, collecting a power data set associated with aging of a power product, wherein the power data set includes at least: current, voltage, and power switching frequency;

[0104] S202, calculating a change rate of each power data based on the power data set;

[0105] S203, calculating an aging influence factor for quantifying the aging degree of the power supply product according to the change rate;

[0106] S204, adaptively adjusting the output power of the power supply product according to the current aging impact factor to achieve aging feedback.

[0107] It can be seen that a power data set associated with the aging of the power supply product is collected, wherein the power data set includes at least: current, voltage and power switching frequency; based on the power data set, the change rate of each power data is calculated; according to the change rate, the aging influence factor for quantifying the aging degree of the power supply product is calculated; according to the current aging influence factor, the output power of the power supply product is adaptively adjusted to achieve aging feedback, thereby improving the use efficiency of the power supply product and extending its service life, thereby reducing maintenance costs and potential failure risks, and providing more reliable services for power users.

[0108] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A power product aging feedback method, characterized in that: The method comprises: Collecting a power data set associated with aging of a power product, wherein the power data set includes at least: current, voltage, and power switching frequency; Based on the power data set, calculating the change rate of each power data; Calculating, based on the rate of change, an aging impact factor for quantifying the degree of aging of the power supply product; According to the current aging influence factor, the output power of the power supply product is adaptively adjusted to achieve aging feedback.

2. The method according to claim 1, characterized in that: The method further comprises: Synchronously collect an environmental data set of the environment in which the power supply product is located, wherein the environmental data set at least includes: environmental temperature and environmental humidity; The calculating, according to the change rate, an aging influence factor for quantifying the aging degree of the power supply product comprises: Calculating, based on the change rate, a first aging influencing factor for quantifying the aging degree of the power supply product; The environmental data set and the first aging impact factor are combined to calculate a second aging impact factor that accumulates environmental impact and quantifies the aging degree of the power supply product.

3. The method according to claim 2, characterized in that The calculation formula of the first aging influencing factor is: Among them, the ADFI is the first aging influencing factor, the R_j is the change rate of the i-th power supply data, the w_j is the weight coefficient corresponding to the i-th power supply data, and n is the number of power supply data.

4. The method according to claim 3, characterized in that The step of combining the environmental data set and the first aging impact factor to calculate a second aging impact factor that accumulates environmental impact and quantifies the aging degree of the power supply product includes: Calculate the average temperature and average humidity during the data collection period; A second aging influence factor that accumulates environmental influences and quantifies the aging degree of the power supply product is calculated according to the first aging influence factor, the average temperature, and the average humidity.

5. The method according to claim 4, characterized in that The calculation formula of the second aging influence factor is: CAIF=ADFI·(1+k_1·T_avg+k_2·H_avg) Wherein, the CAIF is the second aging influencing factor, the T_avg is the average temperature during the data collection period, the H_avg is the average humidity during the data collection period, and the k_1 and k_2 are corresponding aging coefficients.

6. The method according to claim 5, characterized in that The step of adaptively adjusting the output power of the power supply product according to the current aging influence factor includes: If the current aging impact factor is greater than the preset aging threshold, the output power of the power supply product is adjusted according to the following formula: Among them, the P_{out} is the adjusted output power, the P_{max} is the maximum rated power of the power supply product, the CAIF_{threshold} is the preset aging threshold, the CAIF_{max} is the historical maximum aging impact factor, and K is the adjustment coefficient.

7. A power product aging feedback system, characterized in that: The system comprises: A collection module, used to collect a power data set associated with the aging of the power product, wherein the power data set at least includes: current, voltage and power switching frequency; A first calculation module, configured to calculate a change rate of each power data based on the power data set; A second calculation module is used to calculate an aging influence factor for quantifying the aging degree of the power supply product according to the change rate; The adjustment module is used to adaptively adjust the output power of the power supply product according to the current aging influence factor to achieve aging feedback.

8. The system according to claim 7, characterized in that The system further comprises: The synchronous acquisition module is used to synchronously acquire the environmental data set of the environment in which the power supply product is located, wherein the environmental data set at least includes: environmental temperature and environmental humidity; the second calculation module is specifically used to: Calculating, based on the change rate, a first aging influencing factor for quantifying the aging degree of the power supply product; The environmental data set and the first aging impact factor are combined to calculate a second aging impact factor that accumulates environmental impact and quantifies the aging degree of the power supply product.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 6 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 6.

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