Intelligent debugging method of power supply and related equipment

Abstract

The present application discloses an intelligent debugging method for a power supply and related equipment, the method comprising: working with a first working parameter to obtain a first working state parameter set; evaluating according to the first working state parameter set to obtain a first working state evaluation value; determining a first deviation between the first working state evaluation value and an ideal working state evaluation value; determining a first adjustment parameter corresponding to the first deviation, adjusting the first working parameter according to the first adjustment parameter, and obtaining a second working parameter; working with a second working parameter to obtain a second working state parameter set; evaluating the working state according to the second working state parameter set to obtain a second working state evaluation value; determining a second deviation between the second working state evaluation value and the ideal working state evaluation value; determining a target normalized value between the first deviation and the second deviation, and determining the corresponding target fine-tuning parameter; and adjusting the second working parameter according to the target fine-tuning parameter.

Description

Technical Field

[0001] The present application relates to the technical field of power supply debugging, and in particular to an intelligent debugging method for a power supply and related equipment. Background Art

[0002] In the traditional power supply debugging process, manual parameter adjustment and testing are usually required. This method is not only inefficient, but also easily affected by the operator's skills and experience, making it difficult to ensure the accuracy and consistency of debugging. As the requirements for power supply performance increase, how to provide an intelligent and efficient power supply debugging method needs to be solved urgently. Summary of the invention

[0003] The embodiments of the present application provide a method for intelligently debugging a power supply and related equipment, which can provide an intelligent and efficient way of debugging a power supply.

[0004] In a first aspect, an embodiment of the present application provides a method for intelligent debugging of a power supply, the method comprising:

[0005] Acquire a target operating mode of the intelligent power supply, and determine a first operating parameter corresponding to the target operating mode;

[0006] Controlling the intelligent power supply to operate with the first operating parameter, and acquiring a first operating state parameter set of the intelligent power supply;

[0007] Performing a working state evaluation according to the first working state parameter set to obtain a first working state evaluation value;

[0008] Acquire an ideal working state evaluation value corresponding to the target working mode, and determine a first deviation between the first working state evaluation value and the ideal working state evaluation value;

[0009] determining a first adjustment parameter corresponding to the first deviation, and adjusting the first operating parameter according to the first adjustment parameter to obtain a second operating parameter;

[0010] Controlling the intelligent power supply to operate with the second operating parameter, and obtaining a second operating state parameter set of the intelligent power supply;

[0011] Performing a working state evaluation according to the second working state parameter set to obtain a second working state evaluation value;

[0012] Determining a second deviation between the second working state evaluation value and the ideal working state evaluation value;

[0013] determining a target normalized value between the first deviation and the second deviation;

[0014] Determining a target fine-tuning parameter corresponding to the target normalized value;

[0015] The second operating parameter is adjusted according to the target fine-tuning parameter to obtain a target operating parameter.

[0016] In a second aspect, an embodiment of the present application provides an intelligent debugging device for a power supply, the device comprising: an acquisition unit, an evaluation unit, an adjustment unit and a determination unit, wherein:

[0017] The acquisition unit is used to acquire a target operating mode of the intelligent power supply, determine a first operating parameter corresponding to the target operating mode; control the intelligent power supply to operate with the first operating parameter, and acquire a first operating state parameter set of the intelligent power supply;

[0018] The evaluation unit is used to evaluate the working state according to the first working state parameter set to obtain a first working state evaluation value;

[0019] The acquisition unit is further configured to acquire an ideal working state evaluation value corresponding to the target working mode, and determine a first deviation between the first working state evaluation value and the ideal working state evaluation value;

[0020] The adjustment unit is used to determine a first adjustment parameter corresponding to the first deviation, and adjust the first operating parameter according to the first adjustment parameter to obtain a second operating parameter;

[0021] The acquisition unit is further used to control the intelligent power supply to operate with the second operating parameter and acquire a second operating state parameter set of the intelligent power supply;

[0022] The evaluation unit is further used to perform working state evaluation according to the second working state parameter set to obtain a second working state evaluation value;

[0023] The determining unit is used to determine a second deviation between the second working state evaluation value and the ideal working state evaluation value; determine a target normalized value between the first deviation and the second deviation; and determine a target fine-tuning parameter corresponding to the target normalized value;

[0024] The adjustment unit is further used to adjust the second operating parameter according to the target fine-tuning parameter to obtain a target operating parameter.

[0025] In a third aspect, an embodiment of the present application provides an intelligent power supply, comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.

[0026] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiment of the present application.

[0027] In a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiment of the present application. The computer program product may be a software installation package.

[0028] The implementation of the embodiments of the present application has the following beneficial effects:

[0029] It can be seen that the intelligent debugging method and related devices of the power supply described in the embodiments of the present application obtain the target working mode of the intelligent power supply, determine the first working parameter corresponding to the target working mode, control the intelligent power supply to work with the first working parameter, and obtain the first working state parameter set of the intelligent power supply, evaluate the working state according to the first working state parameter set, obtain the first working state evaluation value, obtain the ideal working state evaluation value corresponding to the target working mode, determine the first deviation between the first working state evaluation value and the ideal working state evaluation value, determine the first adjustment parameter corresponding to the first deviation, adjust the first working parameter according to the first adjustment parameter to obtain the second working parameter, control the intelligent power supply to work with the second working parameter, and obtain the second working state parameter set of the intelligent power supply, evaluate the working state according to the second working state parameter set, and obtain the second working state evaluation value. Determine a second deviation between the second working state evaluation value and the ideal working state evaluation value, determine a target normalized value between the first deviation and the second deviation, determine a target fine-tuning parameter corresponding to the target normalized value, adjust the second working parameter according to the target fine-tuning parameter, and obtain the target working parameter. In this way, firstly, by debugging the working parameters of the intelligent power supply for the first time for the target working mode, the gap between the actual working state and the ideal working state can be narrowed, thereby improving the working efficiency of the intelligent power supply. Secondly, verify the effect of the first debugging again, so as to dynamically fine-tune the debugging effect of the first debugging by utilizing the relationship between the two deviations between the first and second times, that is, by debugging the working parameters of the intelligent power supply for the second time, the gap between the actual working state and the ideal working state can be further narrowed, thereby deeply improving the working efficiency of the intelligent power supply, thereby realizing intelligent and efficient power supply debugging. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 It is a flowchart of a method for intelligent debugging of a power supply provided in an embodiment of the present application;

[0032] Figure 2 It is a structural schematic diagram of an intelligent power supply provided in an embodiment of the present application;

[0033] Figure 3 It is a block diagram of the functional units of an intelligent debugging device for a power supply provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but in a possible example also includes steps or units that are not listed, or in a possible example also includes other steps or units inherent to these processes, methods, products or devices.

[0035] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0036] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] In the embodiments of the present application, the intelligent power supply may include at least one of the following: a switching power supply, a module power supply, a variable frequency power supply, an uninterruptible power supply (UPS), an inverter power supply, an AC regulated power supply, a DC regulated power supply, a DC / DC power supply, a regulated power supply, a communication power supply, an emergency power supply (EPS), a purification power supply, a PC (power source of PC) power supply, a rectifier power supply, a customized power supply, a heating power supply, a welding power supply / arc power supply, an electroplating power supply, a network power supply, an electric operation power supply, an adapter power supply, a linear power supply, a power supply, a parameter power supply, a voltage regulating power supply, a transformer power supply, a mobile power supply, a car power supply, etc., without limitation here.

[0038] See also Figure 1 , Figure 1 1 is a flow chart of a method for intelligent debugging of a power supply provided by an embodiment of the present application. As shown in the figure, the method for intelligent debugging of the power supply includes:

[0039] 101. Obtain a target operating mode of a smart power supply, and determine a first operating parameter corresponding to the target operating mode.

[0040] In the embodiment of the present application, the target working mode can be set by the user or by the system default. The target working mode can be any working mode corresponding to the smart power supply, for example, different applications correspond to different working modes, or different working mode buttons correspond to different working modes. Different working modes can correspond to different working parameters, and the mapping relationship between the preset working modes and the working parameters can be pre-stored. Then, after obtaining the target working mode of the smart power supply, the first working parameter corresponding to the target working mode can be determined based on the mapping relationship.

[0041] Among them, the first operating parameter can be understood as the default operating parameter or initial operating parameter in the target operating mode. The first operating parameter can include at least one of the following: operating current, operating voltage, operating power, operating frequency, duty cycle, etc., which are not limited here.

[0042] 102. Control the smart power supply to operate with the first operating parameter, and obtain a first operating state parameter set of the smart power supply.

[0043] In an embodiment of the present application, the smart power supply can be controlled to operate with a first operating parameter, and a first operating state parameter set of the smart power supply can be obtained. The first operating state parameter set may include at least one operating state parameter, and the operating state parameter is used to evaluate the operating efficiency of the smart power supply, or the operating performance of the smart power supply, or the working state of the smart power supply.

[0044] The first working state parameter set may include at least one working state parameter, and different intelligent power supplies may correspond to different working state parameters. Different working state parameters may correspond to different working state parameter identifiers, and the working state parameter identifier is used to uniquely identify a working state parameter, and the working state parameter identifier may be preset or system default.

[0045] 103. Perform a working status evaluation according to the first working status parameter set to obtain a first working status evaluation value.

[0046] In the embodiment of the present application, the working state evaluation can be performed according to the first working state parameter set to obtain a first working state evaluation value, that is, an actual working state evaluation value under the first working parameter. In this way, the working efficiency of the smart power supply, or the working performance of the smart power supply, or the working state of the smart power supply can be understood in a timely manner.

[0047] Optionally, the above step 103, performing working state evaluation according to the first working state parameter set to obtain a first working state evaluation value, may include the following steps:

[0048] 31. Obtain an initial working state parameter set corresponding to the target working mode;

[0049] 32. Obtain target hardware environment parameters and target software environment parameters of the intelligent power supply;

[0050] 33. Determine a first working state parameter set corresponding to the target hardware environment parameters;

[0051] 34. Determine a second working state parameter set corresponding to the target software environment parameters;

[0052] 35. Determine the intersection of the first working state parameter set, the second working state parameter set and the initial working state parameter set to obtain a first reference working state parameter set;

[0053] 36. Determine a second reference working state parameter set in the initial working state parameter set except the first reference working state parameter set;

[0054] 37. Determine a target working environment evaluation value of the intelligent power supply according to the target hardware environment parameter and the target software environment parameter;

[0055] 38. Determine a target weight pair corresponding to the target working environment evaluation value;

[0056] 39. Evaluate the working state according to the first reference working state parameter set to obtain a first reference working state evaluation value;

[0057] 310. Perform working state evaluation according to the second reference working state parameter set to obtain a second reference working state evaluation value;

[0058] 311. Perform calculations based on the first reference working state evaluation value, the second reference working state evaluation value, and the target weight to obtain the first working state evaluation value.

[0059] In an embodiment of the present application, a mapping relationship between a preset working mode and a working state parameter set can be pre-stored, and then, based on the mapping relationship, an initial working state parameter set corresponding to the target working mode can be determined, that is, appropriate working state parameters can be adapted to the target working mode to ensure the accuracy of the working state evaluation.

[0060] The target hardware environment parameters may include at least one of the following: memory size, number of processor cores, processor model, etc., which are not limited here. The target hardware environment parameters reflect the hardware configuration and the corresponding hardware performance.

[0061] The target software environment parameters may include at least one of the following: network bandwidth, operating system, software version, etc., which are not limited here. The target software environment parameters reflect the software configuration and the corresponding software performance.

[0062] In a specific implementation, the target hardware environment parameters and the target software environment parameters of the intelligent power supply can be obtained. It is also possible to pre-store a mapping relationship between a preset hardware environment parameter and a working state parameter set, and determine a first working state parameter set corresponding to the target hardware environment parameter based on the mapping relationship, and a mapping relationship between a preset software environment parameter and a working state parameter set, and determine a second working state parameter set corresponding to the target software environment parameter based on the mapping relationship. Both the first working state parameter set and the second working state parameter set may include at least one working state parameter.

[0063] Then, the intersection between the first working state parameter set, the second working state parameter set and the initial working state parameter set can be determined to obtain the first reference working state parameter set. In this way, a working state parameter set adapted to both software and hardware can be obtained, and a second reference working state parameter set other than the first reference working state parameter set in the initial working state parameter set can also be determined. The first reference working state parameter set and the second reference working state parameter set can both include at least one working state parameter. Furthermore, the target working environment evaluation value of the intelligent power supply can be determined according to the target hardware environment parameter and the target software environment parameter. For example, the mapping relationship between the preset hardware environment parameter and the working environment evaluation value can be pre-stored, and the first working environment evaluation value corresponding to the target hardware environment parameter can be determined based on the mapping relationship, and the mapping relationship between the preset software environment parameter and the working environment evaluation value can be pre-stored, and the second working environment evaluation value corresponding to the target software environment parameter can be determined based on the mapping relationship, and then the first working environment evaluation value and the second working environment evaluation value are weighted to obtain the target working environment evaluation value.

[0064] Furthermore, since different working environment evaluation values ​​correspond to different weight pairs, the mapping relationship between the preset working environment evaluation values ​​and the weight pairs can be pre-stored, and the target weight pair corresponding to the target working environment evaluation value can be determined based on the mapping relationship. In this way, a weight pair consistent with the actual software and hardware environment can be obtained. The weight pair may include a first weight and a second weight, and the first weight + the second weight = 1.

[0065] In a specific implementation, a mapping relationship between preset working state parameters and working state evaluation values ​​may be pre-stored, and based on the mapping relationship, a working state evaluation value corresponding to each working state parameter in the first reference working state parameter set may be determined to obtain at least one working state evaluation value, and the at least one working state evaluation value may be weighted to obtain a first reference working state evaluation value. Correspondingly, a working state evaluation value corresponding to each working state parameter in the second reference working state parameter set may be determined based on a mapping relationship between preset working state parameters and working state evaluation values ​​pre-stored to obtain at least one working state evaluation value, and the at least one working state evaluation value may be weighted to obtain a second reference working state evaluation value.

[0066] Finally, the first working state evaluation value is calculated based on the first reference working state evaluation value, the second reference working state evaluation value and the target weight to obtain the first working state evaluation value. Specifically, the first working state evaluation value = the first reference working state evaluation value × the first weight + the second reference working state evaluation value × the second weight. Since the depth of the first reference working state parameter set matches the hardware and software environment, the corresponding weight is larger, that is, the weight corresponding to the first reference working state evaluation value is larger. Of course, since the depth of the second reference working state parameter set does not match the hardware and software environment, the corresponding weight is smaller, that is, the weight corresponding to the second reference working state evaluation value is smaller. In this way, the depth of the working state evaluation process conforms to the actual situation, so that the depth of the working state evaluation value conforms to the actual application environment of the smart power supply, thereby ensuring the accuracy of the working state evaluation.

[0067] 104. Obtain an ideal working state evaluation value corresponding to the target working mode, and determine a first deviation between the first working state evaluation value and the ideal working state evaluation value.

[0068] In an embodiment of the present application, a mapping relationship between a preset working mode and an ideal working state evaluation value can be pre-stored, and then, based on the mapping relationship, an ideal working state evaluation value corresponding to the target working mode can be determined, and the ideal working state evaluation value can be understood as a working state evaluation value under an ideal state.

[0069] Furthermore, the first deviation between the first working state evaluation value and the ideal working state evaluation value can be determined, that is, the first deviation = (ideal working state evaluation value - first working state evaluation value) / ideal working state evaluation value. The first deviation reflects the gap between the actual and the ideal, which helps to further adjust the working parameters based on the gap to ensure that the working state moves closer to the ideal direction.

[0070] Optionally, the above step 104, obtaining the ideal working state evaluation value corresponding to the target working mode, may include the following steps:

[0071] 41. Obtaining a maximum working state evaluation value under the target working mode;

[0072] 42. Obtain multiple historical working state evaluation values ​​of the intelligent power supply after debugging in the target working mode, each historical working state evaluation value corresponds to a working environment evaluation value and a time point;

[0073] 43. Perform fitting according to the multiple historical working state evaluation values ​​and the corresponding working state evaluation values ​​to obtain a fitting curve; the horizontal axis of the fitting curve is the working environment evaluation value, and the vertical axis is the historical working state evaluation value;

[0074] 44. Acquire a reference working state evaluation value corresponding to the target working environment evaluation value according to the first fitting curve;

[0075] 45. Perform fitting according to the multiple historical working status evaluation values ​​and corresponding time points to obtain a fitting straight line;

[0076] 46. ​​Obtain a target slope corresponding to the fitting straight line, and determine a target optimization coefficient corresponding to the target slope;

[0077] 47. Determine a target mean between the maximum working state evaluation value and the reference working state evaluation value;

[0078] 48. Determine the ideal working state evaluation value according to the target optimization coefficient and the target mean value.

[0079] Among them, different working modes may correspond to different maximum working state evaluation values, that is, the mapping relationship between the preset working mode and the maximum working state evaluation value can be pre-stored, and then, the maximum working state evaluation value under the target working mode can be determined based on the mapping relationship, and multiple historical working state evaluation values ​​after the smart power supply is debugged under the target working mode can be obtained, each historical working state evaluation value corresponds to a working environment evaluation value and a time point, and the time point can be the storage time or calculation completion time of the historical working state evaluation value.

[0080] Next, a fitting curve can be obtained based on multiple historical working state evaluation values ​​and corresponding working state evaluation values. The horizontal axis of the fitting curve is the working environment evaluation value, and the vertical axis is the historical working state evaluation value, that is, each historical working state evaluation value corresponds to a working environment evaluation value. Then, the working state evaluation value suitable for the working environment can be obtained by using the fitting curve. That is, the reference working state evaluation value corresponding to the target working environment evaluation value can be obtained according to the first fitting curve. In this way, the optimal working state evaluation value can be preliminarily evaluated based on the historical debugging process.

[0081] Further, fitting can be performed according to multiple historical working state evaluation values ​​and corresponding time points to obtain a fitting straight line, and obtain a target slope corresponding to the fitting straight line. The slope reflects the equipment attenuation trend of the intelligent power supply. During the attenuation process, the performance of the intelligent power supply will also decline, that is, the mapping relationship between the preset slope and the optimization coefficient can be pre-stored, and the target optimization coefficient corresponding to the target slope can be determined based on the mapping relationship. Then determine the target mean between the maximum working state evaluation value and the reference working state evaluation value. Since the maximum working state evaluation value reflects the ideal situation and the reference working state evaluation value reflects the prediction result based on the historical situation, taking the mean between the two can prevent overfitting or underfitting, and it also conforms to the characteristics of the intelligent power supply itself. Finally, the ideal working state evaluation value is determined according to the target optimization coefficient and the target mean, that is, the ideal working state evaluation value = (1 + target optimization coefficient) × target mean. In this way, the ideal working state evaluation value can be dynamically optimized based on the attenuation characteristics of the intelligent power supply, so that the final ideal working state evaluation value is deeply in line with the specific application scenario, which helps to ensure the debugging accuracy and debugging efficiency.

[0082] 105. Determine a first adjustment parameter corresponding to the first deviation, and adjust the first operating parameter according to the first adjustment parameter to obtain a second operating parameter.

[0083] In a specific implementation, a mapping relationship between a preset deviation and an adjustment parameter can be pre-stored, and then, a first adjustment parameter corresponding to a first deviation can be determined based on the mapping relationship. The larger the deviation, the larger the adjustment range. The first working parameter is then adjusted according to the first adjustment parameter to obtain a second working parameter, that is, the second working parameter = (1 + first adjustment parameter) × first working parameter. In this way, by debugging the working parameters of the smart power supply for the first time, the gap between the actual working state and the ideal working state can be narrowed, thereby improving the working efficiency of the smart power supply.

[0084] 106. Control the smart power supply to operate with the second operating parameter, and obtain a second operating state parameter set of the smart power supply.

[0085] In a specific implementation, the smart power supply can be controlled to operate with the second operating parameters, that is, based on the debugged operating parameters, the second operating state parameter set of the smart power supply can be obtained again to verify the debugging effect, and then calibrate the debugging effect to ensure the debugging accuracy.

[0086] The second operating parameter may include at least one of the following: operating current, operating voltage, operating power, operating frequency, duty cycle, etc., which are not limited here.

[0087] The second working state parameter set may include at least one working state parameter, and the working state parameter is used to evaluate the working efficiency of the smart power supply, or the working performance of the smart power supply, or the working state of the smart power supply.

[0088] 107. Perform a working status evaluation according to the second working status parameter set to obtain a second working status evaluation value.

[0089] In the embodiment of the present application, the working state evaluation can be performed according to the second working state parameter set to obtain a second working state evaluation value, that is, an actual working state evaluation value under the second working parameter. In this way, the working efficiency of the smart power supply, or the working performance of the smart power supply, or the working state of the smart power supply can be understood in a timely manner.

[0090] 108. Determine a second deviation between the second working state evaluation value and the ideal working state evaluation value.

[0091] In a specific implementation, the second deviation between the second working state evaluation value and the ideal working state evaluation value can be determined, that is, the second deviation = (ideal working state evaluation value - second working state evaluation value) / ideal working state evaluation value. The second deviation reflects the gap between the actual and ideal after the first debugging, which helps to further fine-tune the working parameters based on the gap to ensure that the working state depth approaches the ideal direction.

[0092] Optionally, after determining the second deviation between the second working state evaluation value and the ideal working state evaluation value in step 107, the following steps may also be included:

[0093] S1. When the second deviation is less than a preset deviation, saving the second working parameter;

[0094] S2. When the second deviation is greater than or equal to the preset deviation, executing the step of determining a target normalized value between the first deviation and the second deviation.

[0095] The preset deviation degree may be preset or set by system default.

[0096] In a specific implementation, when the second deviation is less than the preset deviation, it means that the first debugging effect is okay, and the second working parameter can be saved, thereby ensuring the working efficiency and performance of the smart power supply in the target working mode. When the second deviation is greater than or equal to the preset deviation, it means that the first debugging effect is not good, and further debugging is required to optimize the debugging effect, that is, the step of determining the target normalized value between the first deviation and the second deviation can be performed. In this way, it is helpful to further narrow the gap between the actual working state and the ideal working state by debugging the working parameters of the smart power supply for the second time, thereby deeply improving the working efficiency of the smart power supply.

[0097] 109. Determine a target normalized value between the first deviation and the second deviation.

[0098] In a specific implementation, the first deviation is greater than the second deviation. The target normalized value can be used to reflect the debugging effect of the first debugging.

[0099] Optionally, the above step 109, determining a target normalized value between the first deviation and the second deviation, may include the following steps:

[0100] 91. Determine a difference between the first deviation and the second deviation to obtain a first difference;

[0101] 92. Determine a sum of the first deviation and the second deviation to obtain a first sum;

[0102] 93. Determine a ratio between the first difference and the first sum to obtain the target normalized value.

[0103] In a specific implementation, the difference between the first deviation and the second deviation can be determined to obtain the first difference, that is, the first difference = the first deviation - the second deviation, and then the sum of the first deviation and the second deviation can be determined to obtain the first sum, that is, the first sum = the first deviation + the second deviation, and then the ratio between the first difference and the first sum is determined to obtain the target normalized value, the target normalized value = the first difference / the first sum. In this way, the debugging effect of the first debugging can be dynamically reflected through the target normalized value. In addition, it can also provide guidance for fine-tuning, which is helpful to further narrow the gap between the actual working state and the ideal working state through the second debugging of the working parameters of the smart power supply, thereby deeply improving the working efficiency of the smart power supply.

[0104] 110. Determine a target fine-tuning parameter corresponding to the target normalized value.

[0105] In a specific implementation, a mapping relationship between a preset normalized value and a fine-tuning parameter can be pre-stored, and then, based on the mapping relationship, a target fine-tuning parameter corresponding to the target normalized value can be determined. This helps to further narrow the gap between the actual working state and the ideal working state by debugging the working parameters of the smart power supply for the second time, thereby deeply improving the working efficiency of the smart power supply.

[0106] Optionally, the above step 110, determining the target fine-tuning parameter corresponding to the target normalized value, may include the following steps:

[0107] A1. Determine a target basic factor corresponding to the second deviation;

[0108] A2. determining a reference fine-tuning parameter corresponding to the target normalized value;

[0109] A3. Determine the target fine-tuning parameter according to the target basic factor and the reference fine-tuning parameter.

[0110] In a specific implementation, a mapping relationship between a preset deviation and a basic factor can be pre-stored, and then a target basic factor corresponding to a second deviation can be determined based on the mapping relationship. The basic factor reflects the adjustment range of the working parameter. The larger the deviation, the larger the adjustment range.

[0111] Furthermore, the mapping relationship between the preset normalized value and the fine-tuning parameter can be pre-stored, and then, the reference fine-tuning parameter corresponding to the target normalized value can be determined based on the mapping relationship. Finally, the target fine-tuning parameter is determined according to the target basic factor and the reference fine-tuning parameter, that is, the target fine-tuning parameter = (1 + reference fine-tuning parameter) × target basic factor. This helps to further narrow the gap between the actual working state and the ideal working state by debugging the working parameters of the smart power supply for the second time, thereby deeply improving the working efficiency of the smart power supply.

[0112] Optionally, the above step A3, determining the target fine-tuning parameter according to the target basic factor and the reference fine-tuning parameter, may include the following steps:

[0113] Fine-tune the target basic factor according to the reference fine-tuning parameter to obtain a first fine-tuning parameter;

[0114] Obtain target physical environment parameters;

[0115] Determining a target feedback adjustment parameter corresponding to the target physical environment parameter;

[0116] Feedback adjustment is performed on the first fine-tuning parameter according to the target feedback adjustment parameter to obtain the target fine-tuning parameter.

[0117] In a specific implementation, the target physical environment parameter may include at least one of the following: ambient temperature, ambient noise, ambient humidity, weather, atmospheric pressure, ambient magnetic field strength, etc., which are not limited here.

[0118] Specifically, the target basic factor can be fine-tuned according to the reference fine-tuning parameter to obtain the first fine-tuning parameter, that is, the first fine-tuning parameter = (1 + reference fine-tuning parameter) × target basic factor. The target physical environment parameter can also be obtained, and the mapping relationship between the preset physical environment parameter and the feedback adjustment parameter can be pre-stored. Then, the target feedback adjustment parameter corresponding to the target physical environment parameter can be determined based on the mapping relationship, and the first fine-tuning parameter can be feedback-adjusted according to the target feedback adjustment parameter to obtain the target fine-tuning parameter, that is, the target fine-tuning parameter = (1 + target feedback adjustment parameter) × first fine-tuning parameter. In this way, the influence of the actual physical environment can be considered, and the fine-tuning amplitude can be dynamically optimized, so that the fine-tuning effect is deeply consistent with the actual environment, and the influence of the external environment on the smart power supply can be suppressed, and the debugging effect of the working parameters of the smart power supply through the second debugging is deeply guaranteed.

[0119] 111. Adjust the second operating parameter according to the target fine-tuning parameter to obtain a target operating parameter.

[0120] In a specific implementation, the second working parameter can be adjusted according to the target fine-tuning parameter to obtain the target working parameter, that is, the target working parameter = (1 + target fine-tuning parameter) × the second working parameter. In this way, the working parameters of the smart power supply can be debugged for the second time to further narrow the gap between the actual working state and the ideal working state, thereby deeply improving the working efficiency of the smart power supply.

[0121] In a specific implementation, through the method in the above-mentioned embodiment of the present application, the performance of the product can be debugged to the optimal state through debugging, so that the power supply product can be more convenient and stable when used.

[0122] It can be seen that the intelligent debugging method of the power supply described in the embodiment of the present application obtains the target working mode of the intelligent power supply, determines the first working parameter corresponding to the target working mode, controls the intelligent power supply to work with the first working parameter, and obtains the first working state parameter set of the intelligent power supply, performs working state evaluation according to the first working state parameter set to obtain a first working state evaluation value, obtains the ideal working state evaluation value corresponding to the target working mode, determines a first deviation between the first working state evaluation value and the ideal working state evaluation value, determines a first adjustment parameter corresponding to the first deviation, adjusts the first working parameter according to the first adjustment parameter to obtain a second working parameter, controls the intelligent power supply to work with the second working parameter, and obtains the second working state parameter set of the intelligent power supply, performs working state evaluation according to the second working state parameter set to obtain a second working state evaluation value, and determines the first adjustment parameter corresponding to the first deviation. The second deviation between the second working state evaluation value and the ideal working state evaluation value is determined, the target normalized value between the first deviation and the second deviation is determined, the target fine-tuning parameter corresponding to the target normalized value is determined, and the second working parameter is adjusted according to the target fine-tuning parameter to obtain the target working parameter. In this way, firstly, the gap between the actual working state and the ideal working state can be narrowed by debugging the working parameters of the intelligent power supply for the first time for the target working mode, thereby improving the working efficiency of the intelligent power supply. Secondly, the effect of the first debugging is verified again, so as to dynamically fine-tune the debugging effect of the first debugging by utilizing the relationship between the two deviations between the first and second times, that is, by debugging the working parameters of the intelligent power supply for the second time, the gap between the actual working state and the ideal working state can be further narrowed, thereby deeply improving the working efficiency of the intelligent power supply, thereby realizing intelligent and efficient power supply debugging.

[0123] In accordance with the above embodiment, please refer to Figure 2 , Figure 2 : is a schematic diagram of the structure of an intelligent power supply provided in an embodiment of the present application. As shown in the figure, the intelligent power supply includes a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor. In the embodiment of the present application, the program includes instructions for executing the following steps:

[0124] Acquire a target operating mode of the intelligent power supply, and determine a first operating parameter corresponding to the target operating mode;

[0125] Controlling the intelligent power supply to operate with the first operating parameter, and acquiring a first operating state parameter set of the intelligent power supply;

[0126] Performing a working state evaluation according to the first working state parameter set to obtain a first working state evaluation value;

[0127] Acquire an ideal working state evaluation value corresponding to the target working mode, and determine a first deviation between the first working state evaluation value and the ideal working state evaluation value;

[0128] determining a first adjustment parameter corresponding to the first deviation, and adjusting the first operating parameter according to the first adjustment parameter to obtain a second operating parameter;

[0129] Controlling the intelligent power supply to operate with the second operating parameter, and obtaining a second operating state parameter set of the intelligent power supply;

[0130] Performing a working state evaluation according to the second working state parameter set to obtain a second working state evaluation value;

[0131] Determining a second deviation between the second working state evaluation value and the ideal working state evaluation value;

[0132] determining a target normalized value between the first deviation and the second deviation;

[0133] Determining a target fine-tuning parameter corresponding to the target normalized value;

[0134] The second operating parameter is adjusted according to the target fine-tuning parameter to obtain a target operating parameter.

[0135] Optionally, in the aspect of performing working state evaluation according to the first working state parameter set to obtain a first working state evaluation value, the program includes instructions for executing the following steps:

[0136] Obtaining an initial working state parameter set corresponding to the target working mode;

[0137] Acquire target hardware environment parameters and target software environment parameters of the intelligent power supply;

[0138] Determining a first working state parameter set corresponding to the target hardware environment parameters;

[0139] Determining a second working state parameter set corresponding to the target software environment parameters;

[0140] Determine an intersection of the first working state parameter set, the second working state parameter set and the initial working state parameter set to obtain a first reference working state parameter set;

[0141] Determine a second reference working state parameter set in the initial working state parameter set except the first reference working state parameter set;

[0142] Determine a target working environment evaluation value of the intelligent power supply according to the target hardware environment parameter and the target software environment parameter;

[0143] Determining a target weight pair corresponding to the target working environment evaluation value;

[0144] Performing a working state evaluation according to the first reference working state parameter set to obtain a first reference working state evaluation value;

[0145] Performing working state evaluation according to the second reference working state parameter set to obtain a second reference working state evaluation value;

[0146] The first working state evaluation value is obtained by performing an operation based on the first reference working state evaluation value, the second reference working state evaluation value and the target weight.

[0147] Optionally, in terms of obtaining the ideal working state evaluation value corresponding to the target working mode, the program includes instructions for executing the following steps:

[0148] Obtaining a maximum working state evaluation value under the target working mode;

[0149] Acquire multiple historical working state evaluation values ​​of the intelligent power supply after debugging in the target working mode, each historical working state evaluation value corresponds to a working environment evaluation value and a time point;

[0150] Fitting is performed according to the multiple historical working state evaluation values ​​and the corresponding working state evaluation values ​​to obtain a fitting curve; the horizontal axis of the fitting curve is the working environment evaluation value, and the vertical axis is the historical working state evaluation value;

[0151] Acquire a reference working state evaluation value corresponding to the target working environment evaluation value according to the first fitting curve;

[0152] Perform fitting according to the plurality of historical working status evaluation values ​​and corresponding time points to obtain a fitting straight line;

[0153] Obtaining a target slope corresponding to the fitting straight line, and determining a target optimization coefficient corresponding to the target slope;

[0154] Determining a target mean between the maximum working state evaluation value and the reference working state evaluation value;

[0155] The ideal working state evaluation value is determined according to the target optimization coefficient and the target mean.

[0156] Optionally, in determining the target normalized value between the first deviation and the second deviation, the program includes instructions for performing the following steps:

[0157] Determine a difference between the first deviation and the second deviation to obtain a first difference;

[0158] Determine a sum of the first deviation and the second deviation to obtain a first sum;

[0159] A ratio between the first difference value and the first sum value is determined to obtain the target normalized value.

[0160] Optionally, in determining the target fine-tuning parameter corresponding to the target normalized value, the program includes instructions for performing the following steps:

[0161] determining a target basic factor corresponding to the second deviation;

[0162] determining a reference fine-tuning parameter corresponding to the target normalized value;

[0163] The target fine-tuning parameter is determined according to the target basic factor and the reference fine-tuning parameter.

[0164] Optionally, in determining the target fine-tuning parameter according to the target basic factor and the reference fine-tuning parameter, the program includes instructions for executing the following steps:

[0165] Fine-tune the target basic factor according to the reference fine-tuning parameter to obtain a first fine-tuning parameter;

[0166] Obtain target physical environment parameters;

[0167] Determining a target feedback adjustment parameter corresponding to the target physical environment parameter;

[0168] Feedback adjustment is performed on the first fine-tuning parameter according to the target feedback adjustment parameter to obtain the target fine-tuning parameter.

[0169] Optionally, after determining the second deviation between the second working state evaluation value and the ideal working state evaluation value, the program further includes instructions for executing the following steps:

[0170] When the second deviation is less than a preset deviation, saving the second working parameter;

[0171] When the second deviation is greater than or equal to the preset deviation, the step of determining a target normalized value between the first deviation and the second deviation is performed.

[0172] It can be seen that the intelligent power supply described in the embodiment of the present application obtains the target working mode of the intelligent power supply, determines the first working parameter corresponding to the target working mode, controls the intelligent power supply to work with the first working parameter, and obtains the first working state parameter set of the intelligent power supply, evaluates the working state according to the first working state parameter set to obtain a first working state evaluation value, obtains the ideal working state evaluation value corresponding to the target working mode, determines a first deviation between the first working state evaluation value and the ideal working state evaluation value, determines a first adjustment parameter corresponding to the first deviation, adjusts the first working parameter according to the first adjustment parameter to obtain a second working parameter, controls the intelligent power supply to work with the second working parameter, and obtains the second working state parameter set of the intelligent power supply, evaluates the working state according to the second working state parameter set to obtain a second working state evaluation value, and determines the second working state parameter set. The second deviation between the state evaluation value and the ideal working state evaluation value is determined, the target normalized value between the first deviation and the second deviation is determined, the target fine-tuning parameter corresponding to the target normalized value is determined, and the second working parameter is adjusted according to the target fine-tuning parameter to obtain the target working parameter. In this way, firstly, the target working mode can be targeted, and the working parameters of the intelligent power supply can be debugged for the first time to narrow the gap between the actual working state and the ideal working state, thereby improving the working efficiency of the intelligent power supply. Secondly, the effect of the first debugging is verified again to dynamically fine-tune the debugging effect of the first debugging by utilizing the relationship between the two deviations between the first and second times, that is, the gap between the actual working state and the ideal working state is further narrowed by debugging the working parameters of the intelligent power supply for the second time, thereby deeply improving the working efficiency of the intelligent power supply, thereby realizing intelligent and efficient power supply debugging.

[0173] Figure 3 3 is a functional unit composition block diagram of the intelligent debugging device 300 of the power supply involved in the embodiment of the present application, the device 300 includes: an acquisition unit 301, an evaluation unit 302, an adjustment unit 303 and a determination unit 304, wherein:

[0174] The acquisition unit 301 is used to acquire a target operating mode of the intelligent power supply, determine a first operating parameter corresponding to the target operating mode; control the intelligent power supply to operate with the first operating parameter, and acquire a first operating state parameter set of the intelligent power supply;

[0175] The evaluation unit 302 is used to evaluate the working state according to the first working state parameter set to obtain a first working state evaluation value;

[0176] The acquisition unit 301 is further configured to acquire an ideal working state evaluation value corresponding to the target working mode, and determine a first deviation between the first working state evaluation value and the ideal working state evaluation value;

[0177] The adjusting unit 303 is used to determine a first adjustment parameter corresponding to the first deviation, and adjust the first operating parameter according to the first adjustment parameter to obtain a second operating parameter;

[0178] The acquisition unit 301 is further used to control the smart power supply to operate with the second operating parameter and acquire a second operating state parameter set of the smart power supply;

[0179] The evaluation unit 302 is further configured to perform a working state evaluation according to the second working state parameter set to obtain a second working state evaluation value;

[0180] The determining unit 304 is used to determine a second deviation between the second working state evaluation value and the ideal working state evaluation value; determine a target normalized value between the first deviation and the second deviation; and determine a target fine-tuning parameter corresponding to the target normalized value;

[0181] The adjusting unit 303 is further configured to adjust the second operating parameter according to the target fine-tuning parameter to obtain a target operating parameter.

[0182] Optionally, in the aspect of performing working state evaluation according to the first working state parameter set to obtain a first working state evaluation value, the evaluation unit 302 is specifically configured to:

[0183] Obtaining an initial working state parameter set corresponding to the target working mode;

[0184] Acquire target hardware environment parameters and target software environment parameters of the intelligent power supply;

[0185] Determining a first working state parameter set corresponding to the target hardware environment parameters;

[0186] Determining a second working state parameter set corresponding to the target software environment parameters;

[0187] Determine an intersection of the first working state parameter set, the second working state parameter set and the initial working state parameter set to obtain a first reference working state parameter set;

[0188] Determine a second reference working state parameter set in the initial working state parameter set except the first reference working state parameter set;

[0189] Determine a target working environment evaluation value of the intelligent power supply according to the target hardware environment parameter and the target software environment parameter;

[0190] Determining a target weight pair corresponding to the target working environment evaluation value;

[0191] Performing a working state evaluation according to the first reference working state parameter set to obtain a first reference working state evaluation value;

[0192] Performing working state evaluation according to the second reference working state parameter set to obtain a second reference working state evaluation value;

[0193] The first working state evaluation value is obtained by performing an operation based on the first reference working state evaluation value, the second reference working state evaluation value and the target weight.

[0194] Optionally, in the aspect of obtaining the ideal working state evaluation value corresponding to the target working mode, the obtaining unit 301 is specifically used for:

[0195] Obtaining a maximum working state evaluation value under the target working mode;

[0196] Acquire multiple historical working state evaluation values ​​of the intelligent power supply after debugging in the target working mode, each historical working state evaluation value corresponds to a working environment evaluation value and a time point;

[0197] Fitting is performed according to the multiple historical working state evaluation values ​​and the corresponding working state evaluation values ​​to obtain a fitting curve; the horizontal axis of the fitting curve is the working environment evaluation value, and the vertical axis is the historical working state evaluation value;

[0198] Acquire a reference working state evaluation value corresponding to the target working environment evaluation value according to the first fitting curve;

[0199] Perform fitting according to the plurality of historical working status evaluation values ​​and corresponding time points to obtain a fitting straight line;

[0200] Obtaining a target slope corresponding to the fitting straight line, and determining a target optimization coefficient corresponding to the target slope;

[0201] Determining a target mean between the maximum working state evaluation value and the reference working state evaluation value;

[0202] The ideal working state evaluation value is determined according to the target optimization coefficient and the target mean.

[0203] Optionally, in determining the target normalized value between the first deviation and the second deviation, the determining unit 304 is specifically configured to:

[0204] Determine a difference between the first deviation and the second deviation to obtain a first difference;

[0205] Determine a sum of the first deviation and the second deviation to obtain a first sum;

[0206] A ratio between the first difference value and the first sum value is determined to obtain the target normalized value.

[0207] Optionally, in determining the target fine-tuning parameter corresponding to the target normalized value, the determining unit 304 is specifically configured to:

[0208] determining a target basic factor corresponding to the second deviation;

[0209] determining a reference fine-tuning parameter corresponding to the target normalized value;

[0210] The target fine-tuning parameter is determined according to the target basic factor and the reference fine-tuning parameter.

[0211] Optionally, in determining the target fine-tuning parameter according to the target basic factor and the reference fine-tuning parameter, the determining unit 304 is specifically configured to:

[0212] Fine-tune the target basic factor according to the reference fine-tuning parameter to obtain a first fine-tuning parameter;

[0213] Obtain target physical environment parameters;

[0214] Determining a target feedback adjustment parameter corresponding to the target physical environment parameter;

[0215] Feedback adjustment is performed on the first fine-tuning parameter according to the target feedback adjustment parameter to obtain the target fine-tuning parameter.

[0216] Optionally, after determining the second deviation between the second working state evaluation value and the ideal working state evaluation value, the intelligent debugging device 300 of the power supply is further specifically used for:

[0217] When the second deviation is less than a preset deviation, saving the second working parameter;

[0218] When the second deviation is greater than or equal to the preset deviation, the step of determining a target normalized value between the first deviation and the second deviation is performed.

[0219] It can be seen that the intelligent debugging device of the power supply described in the embodiment of the present application obtains the target working mode of the intelligent power supply, determines the first working parameter corresponding to the target working mode, controls the intelligent power supply to work with the first working parameter, and obtains the first working state parameter set of the intelligent power supply, evaluates the working state according to the first working state parameter set to obtain a first working state evaluation value, obtains the ideal working state evaluation value corresponding to the target working mode, determines a first deviation between the first working state evaluation value and the ideal working state evaluation value, determines a first adjustment parameter corresponding to the first deviation, adjusts the first working parameter according to the first adjustment parameter to obtain a second working parameter, controls the intelligent power supply to work with the second working parameter, and obtains the second working state parameter set of the intelligent power supply, evaluates the working state according to the second working state parameter set to obtain a second working state evaluation value, and determines the first adjustment parameter corresponding to the first deviation. The second deviation between the second working state evaluation value and the ideal working state evaluation value is determined, the target normalized value between the first deviation and the second deviation is determined, the target fine-tuning parameter corresponding to the target normalized value is determined, and the second working parameter is adjusted according to the target fine-tuning parameter to obtain the target working parameter. In this way, firstly, the gap between the actual working state and the ideal working state can be narrowed by debugging the working parameters of the intelligent power supply for the first time for the target working mode, thereby improving the working efficiency of the intelligent power supply. Secondly, the effect of the first debugging is verified again, so as to dynamically fine-tune the debugging effect of the first debugging by utilizing the relationship between the two deviations between the first and second times, that is, by debugging the working parameters of the intelligent power supply for the second time, the gap between the actual working state and the ideal working state can be further narrowed, thereby deeply improving the working efficiency of the intelligent power supply, thereby realizing intelligent and efficient power supply debugging.

[0220] It can be understood that the functions of each program module of the intelligent debugging device for power supply of this embodiment can be specifically implemented according to the method in the above method embodiment, and its specific implementation process can refer to the relevant description of the above method embodiment, which will not be repeated here.

[0221] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program enables a computer to execute part or all of the steps of any method recorded in the above method embodiments, and the above computer includes an intelligent power supply.

[0222] The embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program is operable to cause a computer to execute some or all of the steps of any method described in the method embodiment. The computer program product may be a software installation package, and the computer includes an intelligent power supply.

[0223] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0224] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0225] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0226] The units described above 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 distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0227] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0228] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-mentioned methods of each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0229] A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (English: Read-Only Memory, abbreviated as: ROM), a random access memory (English: Random Access Memory, abbreviated as: RAM), a magnetic disk or an optical disk, etc.

[0230] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for intelligent debugging of a power supply, characterized in that: The method comprises: Acquire a target operating mode of the intelligent power supply, and determine a first operating parameter corresponding to the target operating mode; Controlling the intelligent power supply to operate with the first operating parameter, and acquiring a first operating state parameter set of the intelligent power supply; Performing a working state evaluation according to the first working state parameter set to obtain a first working state evaluation value; Acquire an ideal working state evaluation value corresponding to the target working mode, and determine a first deviation between the first working state evaluation value and the ideal working state evaluation value; determining a first adjustment parameter corresponding to the first deviation, and adjusting the first operating parameter according to the first adjustment parameter to obtain a second operating parameter; Controlling the intelligent power supply to operate with the second operating parameter, and obtaining a second operating state parameter set of the intelligent power supply; Performing a working state evaluation according to the second working state parameter set to obtain a second working state evaluation value; Determining a second deviation between the second working state evaluation value and the ideal working state evaluation value; determining a target normalized value between the first deviation and the second deviation; Determining a target fine-tuning parameter corresponding to the target normalized value; Adjusting the second operating parameter according to the target fine-tuning parameter to obtain a target operating parameter; The step of performing working state evaluation according to the first working state parameter set to obtain a first working state evaluation value includes: Obtaining an initial working state parameter set corresponding to the target working mode; Acquire target hardware environment parameters and target software environment parameters of the intelligent power supply; Determining a first working state parameter set corresponding to the target hardware environment parameters; Determining a second working state parameter set corresponding to the target software environment parameters; Determine an intersection of the first working state parameter set, the second working state parameter set and the initial working state parameter set to obtain a first reference working state parameter set; Determine a second reference working state parameter set in the initial working state parameter set except the first reference working state parameter set; Determine a target working environment evaluation value of the intelligent power supply according to the target hardware environment parameter and the target software environment parameter; Determining a target weight pair corresponding to the target working environment evaluation value; Performing a working state evaluation according to the first reference working state parameter set to obtain a first reference working state evaluation value; Performing working state evaluation according to the second reference working state parameter set to obtain a second reference working state evaluation value; The first working state evaluation value is obtained by performing an operation based on the first reference working state evaluation value, the second reference working state evaluation value and the target weight.

2. The method according to claim 1, characterized in that The obtaining of the ideal working state evaluation value corresponding to the target working mode includes: Obtaining a maximum working state evaluation value under the target working mode; Acquire multiple historical working state evaluation values ​​of the intelligent power supply after debugging in the target working mode, each historical working state evaluation value corresponds to a working environment evaluation value and a time point; Fitting is performed according to the multiple historical working state evaluation values ​​and the corresponding working state evaluation values ​​to obtain a fitting curve; the horizontal axis of the fitting curve is the working environment evaluation value, and the vertical axis is the historical working state evaluation value; Acquire a reference working state evaluation value corresponding to the target working environment evaluation value according to the fitting curve; Perform fitting according to the plurality of historical working status evaluation values ​​and corresponding time points to obtain a fitting straight line; Obtaining a target slope corresponding to the fitting straight line, and determining a target optimization coefficient corresponding to the target slope; Determining a target mean between the maximum working state evaluation value and the reference working state evaluation value; The ideal working state evaluation value is determined according to the target optimization coefficient and the target mean.

3. The method according to claim 1 or 2, characterized in that: The determining a target normalized value between the first deviation and the second deviation comprises: Determine a difference between the first deviation and the second deviation to obtain a first difference; Determine a sum of the first deviation and the second deviation to obtain a first sum; A ratio between the first difference value and the first sum value is determined to obtain the target normalized value.

4. The method according to claim 1 or 2, characterized in that: The determining of a target fine-tuning parameter corresponding to the target normalized value includes: determining a target basic factor corresponding to the second deviation; determining a reference fine-tuning parameter corresponding to the target normalized value; The target fine-tuning parameter is determined according to the target basic factor and the reference fine-tuning parameter.

5. The method according to claim 4, characterized in that The determining the target fine-tuning parameter according to the target basic factor and the reference fine-tuning parameter includes: Fine-tune the target basic factor according to the reference fine-tuning parameter to obtain a first fine-tuning parameter; Obtain target physical environment parameters; Determining a target feedback adjustment parameter corresponding to the target physical environment parameter; Feedback adjustment is performed on the first fine-tuning parameter according to the target feedback adjustment parameter to obtain the target fine-tuning parameter.

6. The method according to claim 1 or 2, characterized in that: After determining the second deviation between the second working state evaluation value and the ideal working state evaluation value, the method further includes: When the second deviation is less than a preset deviation, saving the second working parameter; When the second deviation is greater than or equal to the preset deviation, the step of determining a target normalized value between the first deviation and the second deviation is performed.

7. An intelligent debugging device for a power supply, characterized in that: The device comprises: an acquisition unit, an evaluation unit, an adjustment unit and a determination unit, wherein: The acquisition unit is used to acquire a target operating mode of the intelligent power supply, determine a first operating parameter corresponding to the target operating mode; control the intelligent power supply to operate with the first operating parameter, and acquire a first operating state parameter set of the intelligent power supply; The evaluation unit is used to evaluate the working state according to the first working state parameter set to obtain a first working state evaluation value; The acquisition unit is further configured to acquire an ideal working state evaluation value corresponding to the target working mode, and determine a first deviation between the first working state evaluation value and the ideal working state evaluation value; The adjustment unit is used to determine a first adjustment parameter corresponding to the first deviation, and adjust the first operating parameter according to the first adjustment parameter to obtain a second operating parameter; The acquisition unit is further used to control the intelligent power supply to operate with the second operating parameter and acquire a second operating state parameter set of the intelligent power supply; The evaluation unit is further used to perform working state evaluation according to the second working state parameter set to obtain a second working state evaluation value; The determining unit is used to determine a second deviation between the second working state evaluation value and the ideal working state evaluation value; determine a target normalized value between the first deviation and the second deviation; and determine a target fine-tuning parameter corresponding to the target normalized value; The adjustment unit is further used to adjust the second operating parameter according to the target fine-tuning parameter to obtain a target operating parameter; The step of performing working state evaluation according to the first working state parameter set to obtain a first working state evaluation value includes: Obtaining an initial working state parameter set corresponding to the target working mode; Acquire target hardware environment parameters and target software environment parameters of the intelligent power supply; Determining a first working state parameter set corresponding to the target hardware environment parameters; Determining a second working state parameter set corresponding to the target software environment parameters; Determine an intersection of the first working state parameter set, the second working state parameter set and the initial working state parameter set to obtain a first reference working state parameter set; Determine a second reference working state parameter set in the initial working state parameter set except the first reference working state parameter set; Determine a target working environment evaluation value of the intelligent power supply according to the target hardware environment parameter and the target software environment parameter; Determining a target weight pair corresponding to the target working environment evaluation value; Performing a working state evaluation according to the first reference working state parameter set to obtain a first reference working state evaluation value; Performing working state evaluation according to the second reference working state parameter set to obtain a second reference working state evaluation value; The first working state evaluation value is obtained by performing an operation based on the first reference working state evaluation value, the second reference working state evaluation value and the target weight.

8. An intelligent power supply, characterized in that: The method comprises a processor and a memory, wherein the memory is used to store one or more programs and is configured to be executed by the processor, wherein the program comprises instructions for executing the steps in the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: A computer program for electronic data exchange is stored, wherein the computer program enables a computer to execute the method according to any one of claims 1 to 6.

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