Digital management method of intelligent power supply, related device and intelligent power supply

Abstract

The invention discloses a digital management method of an intelligent power supply, a related device and the intelligent power supply. The digital management method comprises the following steps: acquiring target application scene data of the intelligent power supply; determining a first working parameter of the intelligent power supply corresponding to the target application scene data, and controlling the intelligent power supply to work according to the first working parameter; determining a target adjustment range parameter corresponding to the target application scene data, wherein the target adjustment range parameter comprises an upper limit threshold and a lower limit threshold; acquiring user operation data; when the user operation data meets a first preset condition, adjusting the first working parameter according to an upper limit threshold to obtain a second working parameter, and controlling the intelligent power supply to work according to the second working parameter; and when the user operation data meets a second preset condition, adjusting the first working parameter according to a lower limit threshold to obtain a third working parameter, and controlling the intelligent power supply to work according to the third working parameter. According to the scheme, the intelligence of power supply control can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power management, in particular to a digital management method of intelligent power supply and related device and intelligent power supply. BACKGROUND

[0002] With the rapid development of science and technology, power supply systems are increasingly widely used in various fields, and the requirements for their performance, efficiency and management are also increasingly high. Traditional power management methods often rely on manual operation and experience judgment, which has the problem of low efficiency, reducing the intelligence of power control. Therefore, how to improve the intelligence of power control is an urgent problem to be solved. SUMMARY

[0003] The embodiments of the present application provide a digital management method of intelligent power supply and related device and intelligent power supply, which can improve the intelligence of power control.

[0004] In a first aspect, the embodiments of the present application provide a digital management method of power supply, which comprises:

[0005] Obtaining target application scenario data of intelligent power supply;

[0006] Determining a first working parameter of the intelligent power supply corresponding to the target application scenario data, and controlling the intelligent power supply to work with the first working parameter;

[0007] Determining a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter comprising an upper threshold and a lower threshold;

[0008] Obtaining user operation data;

[0009] When the user operation data meets a first preset condition, adjusting the first working parameter according to the upper threshold to obtain a second working parameter, and controlling the intelligent power supply to work with the second working parameter;

[0010] When the user operation data meets a second preset condition, adjusting the first working parameter according to the lower threshold to obtain a third working parameter, and controlling the intelligent power supply to work with the third working parameter;

[0011] When the user operation data does not meet the first preset condition and the second preset condition, continuing to execute the step of controlling the intelligent power supply to work with the first working parameter.

[0012] In a second aspect, the embodiments of the present application provide a digital management device of power supply, which comprises an obtaining unit, a determining unit and a control unit, wherein,

[0013] The acquisition unit is configured to acquire target application scenario data of the intelligent power supply.

[0014] The determination unit is configured to determine a first working parameter of the intelligent power supply corresponding to the target application scenario data, control the intelligent power supply to work in the first working parameter, and determine a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter including an upper threshold and a lower threshold.

[0015] The acquisition unit is further configured to acquire user operation data.

[0016] The control unit is configured to, when the user operation data satisfies a first preset condition, adjust the first working parameter according to the upper threshold to obtain a second working parameter, control the intelligent power supply to work in the second working parameter, when the user operation data satisfies a second preset condition, adjust the first working parameter according to the lower threshold to obtain a third working parameter, control the intelligent power supply to work in the third working parameter, and when the user operation data does not satisfy the first preset condition and the second preset condition, continue to perform the step of controlling the intelligent power supply to work in the first working parameter.

[0017] In a third aspect, an embodiment of the present application provides an intelligent power supply, including 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 programs include instructions for executing the steps in the first aspect of the present application.

[0018] 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, and the computer program causes a computer to execute some or all of the steps described in the first aspect of the present application.

[0019] 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 present application. The computer program product can be a software installation package.

[0020] By implementing the embodiments of the present application, the following beneficial effects are achieved:

[0021] It can be seen that the power supply digital management method and related device described in the embodiments of the application obtain target application scenario data of the intelligent power supply, determine a first working parameter of the intelligent power supply corresponding to the target application scenario data, control the intelligent power supply to work with the first working parameter, determine a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter includes an upper threshold and a lower threshold, obtain user operation data, when the user operation data meets a first preset condition, adjust the first working parameter according to the upper threshold to obtain a second working parameter, control the intelligent power supply to work with the second working parameter, when the user operation data meets a second preset condition, adjust the first working parameter according to the lower threshold to obtain a third working parameter, control the intelligent power supply to work with the third working parameter, and when the user operation data does not meet the first preset condition and the second preset condition, continue to perform the step of controlling the intelligent power supply to work with the first working parameter. In this way, first, the working parameter of the corresponding intelligent power supply and the corresponding adjustment range parameter including the upper threshold and the lower threshold can be adapted based on the specific application scenario data, and second, the working parameter of the intelligent power supply can be dynamically adjusted based on the specific operation behavior of the user and the upper threshold and the lower threshold. Since the adjustment limit of the intelligent power supply is known in advance, the intelligent power supply can be quickly adjusted within the adjustment limit, which ensures the working safety of the intelligent power supply and quickly and dynamically adjusts the performance of the intelligent power supply, thereby improving the intelligence of power supply control. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0023] Figure 1 is a flow diagram of a power supply digital management method provided by an embodiment of the present application;

[0024] Figure 2 is a structural diagram of an intelligent power supply provided by an embodiment of the present application;

[0025] Figure 3 is a functional unit composition block diagram of a power supply digital management device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] The terms "first", "second", and the like in the description and in the claims of the present application and above-described drawings are used to distinguish different objects, and are not used to describe a particular order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device including a series of steps or units is not limited to the listed steps or units, but in one possible example also includes steps or units not listed, or in one possible example also includes other steps or units inherent to the process, method, product, or device.

[0027] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood that the embodiments described herein can be combined with other embodiments.

[0028] In order to make the person skilled in the art better understand the scheme of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by the person skilled in the art without creative labor are within the scope of protection of the present application.

[0029] In the embodiments of the present application, the intelligent power supply can include at least one of the following: switching power supply, module power supply, frequency conversion power supply, uninterruptible power system (UPS), inverter power supply, AC voltage stabilizing power supply, DC voltage stabilizing power supply, DC / DC power supply, voltage stabilizing power supply, communication power supply, emergency power supply (EPS), purification power supply, PC power supply, rectifier power supply, customized power supply, heating power supply, welding power supply / arc power supply, electroplating power supply, network power supply, power operation power supply, adapter power supply, linear power supply, power power supply, parameter power supply, voltage regulating power supply, transformer power supply, mobile power supply, automobile power supply, etc., without limitation.

[0030] Please refer to Figure 1 , Figure 1 is a flowchart of a digital management method of a power supply provided by the embodiments of the present application, as shown in the figure, the digital management method of the power supply includes:

[0031] 101, obtaining target application scenario data of an intelligent power supply.

[0032] The target application scenario data can be understood as at least one of a use environment of the intelligent power supply, a foreground application, a background application, and a working mode, which is not limited herein. In specific implementation, the target application scenario data of the intelligent power supply can be acquired, and then the corresponding working parameter can be dynamically adapted, so as to ensure user operation and achieve the energy saving purpose.

[0033] 102. Determine the first working parameter of the intelligent power supply corresponding to the target application scenario data, and control the intelligent power supply to work with the first working parameter.

[0034] In specific implementation, the mapping relationship between the preset application scenario data and the working parameter of the intelligent power supply can be pre-set. Based on the mapping relationship, the first working parameter of the intelligent power supply corresponding to the target application scenario data can be determined, and then the intelligent power supply is controlled to work with the first working parameter. In this way, the working parameter corresponding to the actual application scenario can be obtained, which helps to initially ensure the user operation requirement.

[0035] 103. Determine the target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter including an upper threshold and a lower threshold.

[0036] In specific implementation, different application scenario data can correspond to different adjustment range parameters. The adjustment range parameter can include an upper threshold and a lower threshold. That is, the mapping relationship between the preset application scenario data and the adjustment range parameter can be pre-stored. Then, the target adjustment range parameter corresponding to the target application scenario data can be determined based on the mapping relationship. The target adjustment range parameter includes an upper threshold and a lower threshold. In this way, the over-adjustment or under-adjustment of the intelligent power supply can be ensured. That is, the adjustment limit of the intelligent power supply is known in advance. The intelligent power supply can be quickly adjusted under the adjustment limit, so as to ensure the working safety of the intelligent power supply and quickly dynamically adjust the performance of the intelligent power supply.

[0037] In some possible examples, the step 103 of determining the target adjustment range parameter corresponding to the target application scenario data can include the following steps:

[0038] 31. Determine the minimum working parameter and the ideal working parameter corresponding to the target application scenario data.

[0039] 32. Determine the lower threshold according to the minimum working parameter and the first working parameter.

[0040] 33. Determine the upper threshold according to the ideal working parameter and the first working parameter.

[0041] In a specific implementation, different application scenario data can correspond to different minimum working parameters, which can be understood as working parameters for maintaining a standby state in a specific application scenario. Correspondingly, different application scenario data can correspond to different ideal working parameters, which can be understood as working parameters for maximizing the potential of the intelligent power supply in a specific application scenario. The minimum working parameters and the ideal working parameters can be pre-set or system defaults.

[0042] Next, a lower threshold can be determined according to the minimum working parameters and the first working parameters, i.e., the lower threshold = the minimum working parameters - the first working parameters. Correspondingly, an upper threshold can be determined according to the ideal working parameters and the first working parameters, i.e., the upper threshold = the ideal working parameters - the first working parameters. Since the adjustment limit of the intelligent power supply is known in advance, the intelligent power supply can be quickly adjusted at the adjustment limit, i.e., the working safety of the intelligent power supply is ensured, and the performance of the intelligent power supply can be quickly and dynamically adjusted.

[0043] 104. Obtain user operation data.

[0044] In the embodiments of the present application, the user operation data can include at least one of the following: operation instructions, operation frequencies, operation regions, operation intensities, operation purposes, etc., which are not limited herein.

[0045] In a specific implementation, the user operation data can be obtained at a preset time interval, and it is detected whether the user operation data meets which of steps 105-107, and then the corresponding operation is performed. The preset time interval can be pre-set or system default.

[0046] 105. When the user operation data meets a first preset condition, the first working parameters are adjusted according to the upper threshold to obtain second working parameters, and the intelligent power supply is controlled to work at the second working parameters.

[0047] In a specific implementation, the first preset condition can be pre-set or system default. For example, when the user operation data includes an operation frequency, and the operation frequency is within a first preset operation frequency range, it indicates that the user operation data meets the first preset condition, and the first preset operation frequency range can be pre-set or system default. When the user operation data meets the first preset condition, it indicates that the power supply needs to provide more energy to meet the operation requirements at the current time, and the first working parameters can be adjusted according to the upper threshold to obtain the second working parameters, and the intelligent power supply is controlled to work at the second working parameters. Since the upper limit of the intelligent power supply is known in advance, the intelligent power supply can be quickly adjusted at the upper limit, i.e., the working safety of the intelligent power supply is ensured, and the performance of the intelligent power supply can be improved to meet the operation requirements and improve the user experience.

[0048] In some possible examples, the step 105 of adjusting the first working parameter according to the upper threshold to obtain a second working parameter can include the following steps:

[0049] 51. determining a first adjustment parameter corresponding to the user operation data;

[0050] 52. obtaining a target hardware environment parameter and a target software environment parameter of the intelligent power supply;

[0051] 53. determining a first feedback adjustment parameter corresponding to the target hardware environment parameter and a second feedback adjustment parameter corresponding to the target software environment parameter;

[0052] 54. adjusting the first adjustment parameter according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain a target first adjustment parameter;

[0053] 55. determining a target upper adjustment parameter according to the target first adjustment parameter and the upper threshold;

[0054] 56. adjusting the first working parameter according to the target upper adjustment parameter to obtain the second working parameter.

[0055] The target hardware environment parameter can include at least one of the following: memory size, processor core number, processor model, processor occupancy, disk usage, CPU temperature, and the like, without limitation. The target hardware environment parameter reflects the hardware configuration and the corresponding hardware performance.

[0056] The target software environment parameter can include at least one of the following: network bandwidth, operating system, software version, cache size, process number, thread number, handle number, and the like, without limitation. The target software environment parameter reflects the software configuration and the corresponding software performance.

[0057] In the embodiments of the present application, a mapping relationship between preset operation data and adjustment parameters can be pre-stored, and then the first adjustment parameter corresponding to the user operation data can be determined based on the mapping relationship.

[0058] In specific implementation, the target hardware environment parameter and the target software environment parameter of the smart power supply can also be acquired, and the mapping relationship between the preset hardware environment parameter and the feedback adjustment parameter can also be pre-stored, the first feedback adjustment parameter corresponding to the target hardware environment parameter is determined based on the mapping relationship, and the mapping relationship between the preset software environment parameter and the feedback adjustment parameter is pre-stored, and then the second feedback adjustment parameter corresponding to the target software environment parameter is determined based on the mapping relationship, and the first adjustment parameter is adjusted according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain the target first adjustment parameter. The hardware environment parameter reflects the adjustment support degree of the hardware layer to a certain extent, and the software environment parameter reflects the adjustment support degree of the software layer to a certain extent. Since the upper limit of the adjustment of the smart power supply is known in advance, the feedback adjustment can guarantee the maximum support of the smart power supply in the target application scenario data to the greatest extent.

[0059] Next, the target first adjustment parameter and the upper limit threshold are used to determine the target adjustment parameter, that is, the target adjustment parameter = upper limit threshold × (1-target first adjustment parameter), and then the first working parameter is adjusted according to the target adjustment parameter to obtain the second working parameter, that is, the second working parameter = target adjustment parameter + first working parameter. In this way, since the upper limit of the adjustment of the smart power supply is known in advance, the smart power supply can be quickly adjusted under the upper limit. Specifically, the hardware environment parameter reflects the adjustment support degree of the hardware layer to a certain extent, and the software environment parameter reflects the adjustment support degree of the software layer to a certain extent. On this basis, the hardware and software of the smart power supply can be used to ensure the working safety of the smart power supply, and the potential of the smart power supply in the target application scenario data can be maximized to improve the performance of the smart power supply, meet the operation requirements, and improve the user experience.

[0060] In some possible examples, the step 54 of adjusting the first adjustment parameter according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain a target first adjustment parameter can include the following steps:

[0061] 541, performing working environment evaluation according to the target hardware environment parameter to obtain a first evaluation value;

[0062] 542, performing working environment evaluation according to the target software environment parameter to obtain a second evaluation value;

[0063] 543, determining a reference first evaluation value corresponding to the hardware environment parameter and a reference second evaluation value corresponding to the software environment parameter in the target application scenario data;

[0064] 544、determine a first deviation between the first evaluation value and the reference first evaluation value;

[0065] 545、determine a second deviation between the second evaluation value and the reference second evaluation value;

[0066] 546、determine the target feedback adjustment parameter according to the first deviation, the second deviation, the first feedback adjustment parameter, the second feedback adjustment parameter;

[0067] 547、adjust the first adjustment parameter according to the target feedback adjustment parameter to obtain a target first adjustment parameter.

[0068] In the embodiments of the present application, the mapping relationship between the preset hardware environment parameter and the evaluation value can be pre-stored, and then the first evaluation value corresponding to the target hardware environment parameter can be determined based on the mapping relationship. In addition, the mapping relationship between the preset software environment parameter and the evaluation value can also be pre-stored, and then the second evaluation value corresponding to the target software environment parameter can be determined based on the mapping relationship. That is, the current working environment can be evaluated from the hardware and software dimensions.

[0069] Then, the reference first evaluation value corresponding to the hardware environment parameter and the reference second evaluation value corresponding to the software environment parameter under the target application scenario data can also be determined. In specific implementation, the reference first evaluation value can be understood as the best hardware aspect working environment evaluation value under the target application scenario data. Correspondingly, the reference second evaluation value can be understood as the best software aspect working environment evaluation value under the target application scenario data. The reference first evaluation value and the reference second evaluation value can be pre-set or system default, and both of them can be experience value or theoretical value. Different application scenario data can correspond to different reference first evaluation values corresponding to hardware environment parameters and different reference second evaluation values corresponding to software environment parameters.

[0070] Next, the first deviation between the first evaluation value and the reference first evaluation value can be determined again, since the reference first evaluation value is greater than the first evaluation value, that is, the first deviation = (reference first evaluation value - first evaluation value) / reference first evaluation value, and the second deviation between the second evaluation value and the reference second evaluation value can also be determined again, since the reference second evaluation value is greater than the second evaluation value, that is, the second deviation = (reference second evaluation value - second evaluation value) / reference second evaluation value. Finally, the target feedback adjustment parameter can be determined according to the first deviation, the second deviation, the first feedback adjustment parameter, and the second feedback adjustment parameter. Since the first deviation and the second deviation reflect the difference between the actual hardware environment and the ideal hardware environment, and the difference between the actual software environment and the ideal software environment to some extent, based on the influence of hardware and software, the adjustment support degree of the hardware level and the software level is dynamically reflected, and then the influence degree of the first feedback adjustment parameter and the second feedback adjustment parameter can be dynamically determined, and the target feedback adjustment parameter is finally determined based on the influence degree. The first adjustment parameter is adjusted according to the target feedback adjustment parameter to obtain the target first adjustment parameter, that is, the target first adjustment parameter = (1 + target feedback adjustment parameter) x first adjustment parameter. In this way, since the adjustment upper limit of the intelligent power supply is known in advance, the intelligent power supply can be quickly adjusted under the adjustment upper limit. Considering the hardware environment parameter can reflect the adjustment support degree of the hardware level to some extent, and the software environment parameter can reflect the adjustment support degree of the software level to some extent, on this basis, the hardware and software of the intelligent power supply can be played in rotation, that is, the working safety of the intelligent power supply is ensured, and the potential of the intelligent power supply in the target application scenario data can be maximized to improve the performance of the intelligent power supply, to meet the operation requirements and improve the user experience.

[0071] In some possible examples, the step 546 of determining the target feedback adjustment parameter according to the first deviation, the second deviation, the first feedback adjustment parameter, and the second feedback adjustment parameter can include the following steps:

[0072] A1, determining a first weight and a second weight according to the first deviation and the second deviation;

[0073] A2, determining a target feedback adjustment parameter according to the first feedback adjustment parameter, the second feedback adjustment parameter, the first weight, and the second weight.

[0074] In a particular implementation, the first weight value and the second weight value can be determined according to the first deviation degree and the second deviation degree, i.e., the first weight value = the first deviation degree / (the first deviation degree + the second deviation degree), and the second weight value = the second deviation degree / (the first deviation degree + the second deviation degree), i.e., the greater the deviation degree, the smaller the adjustment support degree, and the greater the feedback adjustment degree. Then, the target feedback adjustment parameter can be determined according to the first feedback adjustment parameter, the second feedback adjustment parameter, the first weight value, and the second weight value, as follows:

[0075] Target feedback adjustment parameter = first feedback adjustment parameter * first weight value + second feedback adjustment parameter * second weight value

[0076] In this way, since the adjustment upper limit of the intelligent power supply is known in advance, the intelligent power supply can be quickly adjusted under the adjustment upper limit. The hardware environment parameter specifically reflects the adjustment support degree at the hardware level to some extent, and the software environment parameter specifically reflects the adjustment support degree at the software level to some extent. On this basis, the hardware and software of the intelligent power supply can be rotated, i.e., the working safety of the intelligent power supply is ensured, and the potential of the intelligent power supply in the target application scenario data can be maximized to improve the performance of the intelligent power supply, meet the operation requirements, and improve the user experience.

[0077] In some possible examples, the step 546 of determining the target feedback adjustment parameter according to the first deviation degree, the second deviation degree, the first feedback adjustment parameter, and the second feedback adjustment parameter can include the following steps:

[0078] B1, determining a smaller value and a larger value between the first deviation degree and the second deviation degree;

[0079] B2, determining a target ratio between the larger value and the smaller value;

[0080] B3, determining a reference first feedback adjustment parameter corresponding to the larger value and a reference second feedback adjustment parameter corresponding to the smaller value in the first feedback adjustment parameter and the second feedback adjustment parameter;

[0081] B4, determining a target reference first feedback adjustment parameter according to the reference first feedback adjustment parameter and the target ratio;

[0082] B5, determining the target feedback adjustment parameter according to the reference second feedback adjustment parameter and the target reference first feedback adjustment parameter.

[0083] In specific implementation, the smaller value and the larger value between the first deviation degree and the second deviation degree can be determined, the target ratio between the larger value and the smaller value is determined, the target ratio = the larger value / the smaller value, the reference first feedback adjustment parameter corresponding to the larger value and the reference second feedback adjustment parameter corresponding to the smaller value in the first feedback adjustment parameter and the second feedback adjustment parameter are determined, the hardware environment parameter to some extent reflects the adjustment support degree at the hardware level, the software environment parameter to some extent reflects the adjustment support degree at the software level, the smaller the deviation degree is, the smaller the adjustment support degree is, and the greater the feedback adjustment degree is, the target reference first feedback adjustment parameter is determined according to the reference first feedback adjustment parameter and the target ratio, that is, the target reference first feedback adjustment parameter = the reference first feedback adjustment parameter / the target ratio, and finally, the target feedback adjustment parameter can be determined according to the reference second feedback adjustment parameter and the target reference first feedback adjustment parameter, that is, the target feedback adjustment parameter = the reference second feedback adjustment parameter + the target reference first feedback adjustment parameter, in this way, since the upper limit of the adjustment of the intelligent power supply is known in advance, the intelligent power supply adjustment can be quickly realized under the upper limit of the adjustment, the hardware environment parameter to some extent reflects the adjustment support degree at the hardware level, the software environment parameter to some extent reflects the adjustment support degree at the software level, on this basis, the hardware and software of the intelligent power supply can be rotated, that is, the working safety of the intelligent power supply is ensured, and the potential of the intelligent power supply under the target application scene data can be maximized, the performance of the intelligent power supply is improved, the operation demand is met, and the user experience is improved.

[0084] 106. When the user operation data meets the second preset condition, the first working parameter is adjusted according to the lower threshold to obtain a third working parameter, and the intelligent power supply is controlled to work with the third working parameter.

[0085] In specific implementation, the second preset condition can be pre-set or system default, for example, when the user operation data includes the operation frequency, if the operation frequency is in the second preset operation frequency range, it is indicated that the user operation data meets the second preset condition, and the second preset operation frequency range can be pre-set or system default. When the user operation data meets the second preset condition, it is indicated that the user operation is less, and the power supply does not need to provide too much energy, the first working parameter can be adjusted according to the lower threshold to obtain the third working parameter, and the intelligent power supply is controlled to work with the third working parameter, since the lower limit of the adjustment of the intelligent power supply is known in advance, the intelligent power supply adjustment can be quickly realized under the lower limit of the adjustment, that is, the working safety of the intelligent power supply is ensured, and the energy consumption of the intelligent power supply is reduced, and the energy saving purpose is achieved.

[0086] In some possible examples, the step 106 of adjusting the first working parameter according to the lower limit threshold to obtain a third working parameter can include the following steps:

[0087] 61. obtaining an external environment parameter of the intelligent power supply;

[0088] 62. determining a second adjustment parameter corresponding to the target external environment parameter;

[0089] 63. determining a target down-regulation parameter according to the second adjustment parameter and the lower limit threshold;

[0090] 64. adjusting the first working parameter according to the target down-regulation parameter to obtain the third working parameter.

[0091] In specific implementations, the external environment parameter can include at least one of the following: an environment temperature, an environment humidity, an atmospheric pressure, a magnetic field interference intensity, an environment light intensity, and the like, without limitation.

[0092] In the embodiments of the present application, the target external environment parameter of the intelligent power supply can be obtained, and a mapping relationship between a preset external environment parameter and an adjustment parameter can be stored in advance, and then the second adjustment parameter corresponding to the target external environment parameter can be determined based on the mapping relationship, and the target down-regulation parameter can be determined according to the second adjustment parameter and the lower limit threshold, i.e., the target down-regulation parameter = the lower limit threshold + the second adjustment parameter, and finally, the first working parameter can be adjusted according to the target down-regulation parameter to obtain the third working parameter, i.e., the third working parameter = the first working parameter + the target down-regulation parameter, i.e., when the user operation is less, the power supply does not need to provide too much energy, and since the lower limit of the adjustment of the intelligent power supply is known in advance, the intelligent power supply can be dynamically and quickly adjusted in combination with the actual external environment under the lower limit of the adjustment, i.e., the working safety of the intelligent power supply is ensured, and the energy consumption for adjusting the intelligent power supply can be reduced to achieve the energy saving purpose.

[0093] 107. continuing to perform the step of controlling the intelligent power supply to work at the first working parameter when the user operation data does not satisfy the first preset condition and the second preset condition.

[0094] In the embodiments of the present application, when the user operation data does not satisfy the first preset condition and the second preset condition, it indicates that the first working parameter of the intelligent power supply can meet the user operation demand, and then the step of controlling the intelligent power supply to work at the first working parameter can be continued to perform, so that a stable working state can be maintained to ensure the user operation demand and improve the user experience.

[0095] It can be seen that the digital management method of the power supply described in the embodiments of the application obtains target application scenario data of the intelligent power supply, determines a first working parameter of the intelligent power supply corresponding to the target application scenario data, controls the intelligent power supply to work with the first working parameter, determines a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter includes an upper threshold and a lower threshold, obtains user operation data, when the user operation data meets a first preset condition, adjusts the first working parameter according to the upper threshold to obtain a second working parameter, controls the intelligent power supply to work with the second working parameter, when the user operation data meets a second preset condition, adjusts the first working parameter according to the lower threshold to obtain a third working parameter, controls the intelligent power supply to work with the third working parameter, and when the user operation data does not meet the first preset condition and the second preset condition, continues to perform the step of controlling the intelligent power supply to work with the first working parameter. In this way, first, the working parameter of the corresponding intelligent power supply and the corresponding adjustment range parameter including the upper threshold and the lower threshold can be adapted based on the specific application scenario data, and second, the working parameter of the intelligent power supply can be dynamically adjusted based on the specific operation behavior of the user and the upper threshold and the lower threshold. Since the adjustment limit of the intelligent power supply is known in advance, the intelligent power supply can be quickly adjusted within the adjustment limit, that is, the working safety of the intelligent power supply is ensured, and the performance of the intelligent power supply can be quickly and dynamically adjusted, thereby improving the intelligence of power supply control.

[0096] Consistent with the above embodiments, please refer to Figure 2 , Figure 2 is a structural diagram of an intelligent power supply provided by the embodiments of the application, as shown in the figure, which includes a processor, a memory, a communication interface and one or more programs, wherein the above-mentioned one or more programs are stored in the above-mentioned memory and are configured to be executed by the above-mentioned processor, in the embodiments of the application, the program includes instructions for executing the following steps:

[0097] obtaining target application scenario data of the intelligent power supply;

[0098] determining a first working parameter of the intelligent power supply corresponding to the target application scenario data, and controlling the intelligent power supply to work with the first working parameter;

[0099] determining a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter including an upper threshold and a lower threshold;

[0100] obtaining user operation data;

[0101] When the user operation data meets a first preset condition, the first working parameter is adjusted according to the upper limit threshold to obtain a second working parameter, and the intelligent power supply is controlled to work at the second working parameter;

[0102] When the user operation data meets a second preset condition, the first working parameter is adjusted according to the lower limit threshold to obtain a third working parameter, and the intelligent power supply is controlled to work at the third working parameter;

[0103] When the user operation data does not meet the first preset condition and the second preset condition, the step of controlling the intelligent power supply to work at the first working parameter is continuously executed.

[0104] In some possible examples, in the aspect of adjusting the first working parameter according to the upper limit threshold to obtain a second working parameter, the above program includes instructions for performing the following steps:

[0105] A first adjustment parameter corresponding to the user operation data is determined;

[0106] A target hardware environment parameter and a target software environment parameter of the intelligent power supply are obtained;

[0107] A first feedback adjustment parameter corresponding to the target hardware environment parameter is determined, and a second feedback adjustment parameter corresponding to the target software environment parameter is determined;

[0108] The first adjustment parameter is adjusted according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain a target first adjustment parameter;

[0109] A target up-regulation parameter is determined according to the target first adjustment parameter and the upper limit threshold;

[0110] The first working parameter is adjusted according to the target up-regulation parameter to obtain the second working parameter.

[0111] In some possible examples, in the aspect of adjusting the first adjustment parameter according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain a target first adjustment parameter, the above program includes instructions for performing the following steps:

[0112] A working environment evaluation is performed according to the target hardware environment parameter to obtain a first evaluation value;

[0113] A working environment evaluation is performed according to the target software environment parameter to obtain a second evaluation value;

[0114] determine a reference first evaluation value corresponding to the hardware environment parameter and a reference second evaluation value corresponding to the software environment parameter under the target application scenario data;

[0115] determine a first deviation between the first evaluation value and the reference first evaluation value;

[0116] determine a second deviation between the second evaluation value and the reference second evaluation value;

[0117] determine the target feedback adjustment parameter according to the first deviation, the second deviation, the first feedback adjustment parameter and the second feedback adjustment parameter;

[0118] adjust the first adjustment parameter according to the target feedback adjustment parameter to obtain a target first adjustment parameter.

[0119] In some possible examples, in the aspect of determining the target feedback adjustment parameter according to the first deviation, the second deviation, the first feedback adjustment parameter and the second feedback adjustment parameter, the above procedure includes instructions for performing the following steps:

[0120] determine a first weight and a second weight according to the first deviation and the second deviation;

[0121] determine the target feedback adjustment parameter according to the first feedback adjustment parameter, the second feedback adjustment parameter, the first weight and the second weight.

[0122] In some possible examples, in the aspect of determining the target feedback adjustment parameter according to the first deviation, the second deviation, the first feedback adjustment parameter and the second feedback adjustment parameter, the above procedure includes instructions for performing the following steps:

[0123] determine a smaller value and a larger value between the first deviation and the second deviation;

[0124] determine a target ratio between the larger value and the smaller value;

[0125] determine a reference first feedback adjustment parameter corresponding to the larger value and a reference second feedback adjustment parameter corresponding to the smaller value among the first feedback adjustment parameter and the second feedback adjustment parameter;

[0126] determine a target reference first feedback adjustment parameter according to the reference first feedback adjustment parameter and the target ratio;

[0127] determine the target feedback adjustment parameter according to the reference second feedback adjustment parameter and the target reference first feedback adjustment parameter.

[0128] In some possible examples, in the adjusting the first working parameter according to the lower limit threshold value to obtain a third working parameter, the program includes instructions for performing the following steps:

[0129] obtaining a target external environment parameter of the intelligent power supply;

[0130] determining a second adjustment parameter corresponding to the target external environment parameter;

[0131] determining a target lower adjustment parameter according to the second adjustment parameter and the lower limit threshold value;

[0132] adjusting the first working parameter according to the target lower adjustment parameter to obtain the third working parameter.

[0133] In some possible examples, in the determining a target adjustment range parameter corresponding to the target application scenario data, the program includes instructions for performing the following steps:

[0134] determining a minimum working parameter and an ideal working parameter corresponding to the target application scenario data;

[0135] determining the lower limit threshold value according to the minimum working parameter and the first working parameter;

[0136] determining the upper limit threshold value according to the ideal working parameter and the first working parameter.

[0137] It can be seen that the intelligent power supply described in the embodiments of the present application acquires target application scenario data of the intelligent power supply, determines a first working parameter of the intelligent power supply corresponding to the target application scenario data, controls the intelligent power supply to work with the first working parameter, determines a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter includes an upper threshold and a lower threshold, acquires user operation data, when the user operation data meets a first preset condition, adjusts the first working parameter according to the upper threshold to obtain a second working parameter, controls the intelligent power supply to work with the second working parameter, when the user operation data meets a second preset condition, adjusts the first working parameter according to the lower threshold to obtain a third working parameter, controls the intelligent power supply to work with the third working parameter, and when the user operation data does not meet the first preset condition and the second preset condition, continues to execute the step of controlling the intelligent power supply to work with the first working parameter. In this way, first, the working parameter of the corresponding intelligent power supply and the corresponding adjustment range parameter including the upper threshold and the lower threshold can be adapted based on specific application scenario data, and second, the working parameter of the intelligent power supply can be dynamically adjusted based on the specific operation behavior of the user and the upper threshold and the lower threshold. Since the adjustment limit of the intelligent power supply is known in advance, the intelligent power supply can be quickly adjusted at the adjustment limit, that is, the working safety of the intelligent power supply is ensured, and the performance of the intelligent power supply can be quickly and dynamically adjusted, thereby improving the intelligence of power supply control.

[0138] Figure 3 is a functional unit composition block diagram of the power supply digital management device 300 involved in the embodiments of the present application, the power supply digital management device 300 includes: an acquisition unit 301, a determination unit 302 and a control unit 303, wherein,

[0139] The acquisition unit 301 is configured to acquire target application scenario data of an intelligent power supply.

[0140] The determination unit 302 is configured to determine a first working parameter of the intelligent power supply corresponding to the target application scenario data, control the intelligent power supply to work with the first working parameter, and determine a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter including an upper threshold and a lower threshold.

[0141] The acquisition unit 301 is further configured to acquire user operation data.

[0142] The control unit 303 is configured to: when the user operation data satisfies a first preset condition, adjust the first working parameter according to the upper limit threshold to obtain a second working parameter, and control the smart power supply to work in the second working parameter; when the user operation data satisfies a second preset condition, adjust the first working parameter according to the lower limit threshold to obtain a third working parameter, and control the smart power supply to work in the third working parameter; and when the user operation data does not satisfy the first preset condition and the second preset condition, continue to perform the step of controlling the smart power supply to work in the first working parameter.

[0143] In some possible examples, in the step of adjusting the first working parameter according to the upper limit threshold to obtain a second working parameter, the control unit 303 is specifically configured to:

[0144] determine a first adjustment parameter corresponding to the user operation data;

[0145] obtain a target hardware environment parameter and a target software environment parameter of the smart power supply;

[0146] determine a first feedback adjustment parameter corresponding to the target hardware environment parameter, and determine a second feedback adjustment parameter corresponding to the target software environment parameter;

[0147] adjust the first adjustment parameter according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain a target first adjustment parameter;

[0148] determine a target upper adjustment parameter according to the target first adjustment parameter and the upper limit threshold;

[0149] adjust the first working parameter according to the target upper adjustment parameter to obtain the second working parameter.

[0150] In some possible examples, in the step of adjusting the first adjustment parameter according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain a target first adjustment parameter, the control unit 303 is specifically configured to:

[0151] perform working environment evaluation according to the target hardware environment parameter to obtain a first evaluation value;

[0152] perform working environment evaluation according to the target software environment parameter to obtain a second evaluation value;

[0153] determine a reference first evaluation value corresponding to a hardware environment parameter in the target application scenario data and a reference second evaluation value corresponding to a software environment parameter;

[0154] determining a first deviation degree between the first evaluation value and the reference first evaluation value;

[0155] determining a second deviation degree between the second evaluation value and the reference second evaluation value;

[0156] determining the target feedback adjustment parameter according to the first deviation degree, the second deviation degree, the first feedback adjustment parameter, and the second feedback adjustment parameter;

[0157] adjusting the first adjustment parameter according to the target feedback adjustment parameter to obtain a target first adjustment parameter.

[0158] In some possible examples, in the determining the target feedback adjustment parameter according to the first deviation degree, the second deviation degree, the first feedback adjustment parameter, and the second feedback adjustment parameter, the control unit 303 specifically can:

[0159] determining a first weight and a second weight according to the first deviation degree and the second deviation degree;

[0160] determining the target feedback adjustment parameter according to the first feedback adjustment parameter, the second feedback adjustment parameter, the first weight, and the second weight.

[0161] In some possible examples, in the determining the target feedback adjustment parameter according to the first deviation degree, the second deviation degree, the first feedback adjustment parameter, and the second feedback adjustment parameter, the control unit 303 specifically can:

[0162] determining a smaller value and a larger value between the first deviation degree and the second deviation degree;

[0163] determining a target ratio between the larger value and the smaller value;

[0164] determining a reference first feedback adjustment parameter corresponding to the larger value and a reference second feedback adjustment parameter corresponding to the smaller value in the first feedback adjustment parameter and the second feedback adjustment parameter;

[0165] determining a target reference first feedback adjustment parameter according to the reference first feedback adjustment parameter and the target ratio;

[0166] determining the target feedback adjustment parameter according to the reference second feedback adjustment parameter and the target reference first feedback adjustment parameter.

[0167] In some possible examples, in the adjusting the first working parameter according to the lower threshold to obtain a third working parameter, the control unit 303 specifically can:

[0168] obtaining a target external environment parameter of the intelligent power supply;

[0169] determining a second adjustment parameter corresponding to the target external environment parameter;

[0170] determining a target down-regulation parameter according to the second adjustment parameter and the lower threshold;

[0171] adjusting the first working parameter according to the target down-regulation parameter to obtain the third working parameter.

[0172] In some possible examples, in the determining of the target adjustment range parameter corresponding to the target application scenario data, the determining unit 302 is specifically configured to:

[0173] determining a minimum working parameter and an ideal working parameter corresponding to the target application scenario data;

[0174] determining the lower threshold according to the minimum working parameter and the first working parameter;

[0175] determining the upper threshold according to the ideal working parameter and the first working parameter.

[0176] It can be seen that the digital management device of the power supply described in the embodiments of the present application obtains target application scenario data of an intelligent power supply, determines a first working parameter of the intelligent power supply corresponding to the target application scenario data, controls the intelligent power supply to work with the first working parameter, determines a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter includes an upper threshold and a lower threshold, obtains user operation data, when the user operation data meets a first preset condition, adjusts the first working parameter according to the upper threshold to obtain a second working parameter, controls the intelligent power supply to work with the second working parameter, when the user operation data meets a second preset condition, adjusts the first working parameter according to the lower threshold to obtain a third working parameter, controls the intelligent power supply to work with the third working parameter, and when the user operation data does not meet the first preset condition and the second preset condition, continues to perform the step of controlling the intelligent power supply to work with the first working parameter. In this way, first, the working parameter of the corresponding intelligent power supply and the corresponding adjustment range parameter including the upper threshold and the lower threshold can be adapted based on specific application scenario data, and second, the working parameter of the intelligent power supply can be dynamically adjusted based on specific user operation behaviors and the upper threshold and the lower threshold. Since the adjustment limit of the intelligent power supply is known in advance, the intelligent power supply can be quickly adjusted at the adjustment limit, that is, the working safety of the intelligent power supply is ensured, and the performance of the intelligent power supply can be quickly and dynamically adjusted, thereby improving the intelligence of power supply control.

[0177] It can be understood that the functions of the program modules of the digital management device of the power supply in the embodiment can be implemented according to the methods in the method embodiments, and the specific implementation process can be referred to the related description of the method embodiments, which will not be repeated here.

[0178] The embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes a computer to execute part or all of the steps of any method described in the method embodiments, and the computer includes the smart power supply.

[0179] The embodiment of the present application further provides a computer program product, and 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 part or all of the steps of any method described in the method embodiments. The computer program product can be a software installation package, and the computer includes the smart power supply.

[0180] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other order or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0181] In the above embodiments, the description of each embodiment is focused on, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0182] In several embodiments provided in the present application, it should be understood that the disclosed device can be implemented by other means. For example, the device embodiments described above are only schematic, for example, the division of the above units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical or other forms.

[0183] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0184] In addition, each of the functional units in each of the embodiments of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware, or in the form of a software functional unit.

[0185] When the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such an understanding, the technical solutions of the present application essentially or partially contribute to the prior art, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods according to the embodiments of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various other media capable of storing program codes.

[0186] Those skilled in the art can understand that all or part of the steps of the various methods of the above embodiments can be instructed by programs to related hardware, and the programs can be stored in a computer readable storage medium. The storage medium can include: a flash disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, etc.

[0187] The embodiments of the present application are described in detail above, and the principles and implementation manners of the present application are described by applying specific examples. The above description of the embodiments is only used to help understand the method of the present application and its core idea; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation manner and application range will be changed; and the above description of the embodiments should not be understood as a limitation of the present application.

Claims

1. A digital management method for intelligent power supplies, characterized in that, The method includes: Acquire data on the target application scenarios of smart power supplies; Determine the first operating parameters of the smart power supply corresponding to the target application scenario data, and control the smart power supply to operate with the first operating parameters; Determine the target adjustment range parameter corresponding to the target application scenario data, wherein the target adjustment range parameter includes an upper threshold and a lower threshold; Obtain user operation data; When the user operation data meets the first preset condition, the first operating parameter is adjusted according to the upper limit threshold to obtain the second operating parameter, and the smart power supply is controlled to operate with the second operating parameter; when the user operation data meets the second preset condition, the first operating parameter is adjusted according to the lower limit threshold to obtain the third operating parameter, and the smart power supply is controlled to operate with the third operating parameter.

2. The method according to claim 1, characterized in that, The method further includes: When the user operation data does not meet the first preset condition and the second preset condition, the step of controlling the smart power supply to operate with the first operating parameters continues to be executed.

3. The method according to claim 1 or 2, characterized in that, The step of adjusting the first operating parameter according to the upper limit threshold to obtain the second operating parameter includes: Determine the first adjustment parameter corresponding to the user operation data; Obtain the target hardware environment parameters and target software environment parameters of the intelligent power supply; Determine a first feedback adjustment parameter corresponding to the target hardware environment parameters, and determine a second feedback adjustment parameter corresponding to the target software environment parameters; The first adjustment parameter is adjusted according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain the target first adjustment parameter; The target adjustment parameter is determined based on the first adjustment parameter of the target and the upper limit threshold. The first operating parameter is adjusted according to the target adjustment parameter to obtain the second operating parameter.

4. The method according to claim 3, characterized in that, The step of adjusting the first adjustment parameter according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain the target first adjustment parameter includes: The working environment is evaluated based on the target hardware environment parameters to obtain a first evaluation value; The working environment is evaluated based on the target software environment parameters to obtain a second evaluation value; Determine the reference first evaluation value corresponding to the hardware environment parameters and the reference second evaluation value corresponding to the software environment parameters under the target application scenario data; Determine the first deviation between the first evaluation value and the reference first evaluation value; Determine the second deviation between the second evaluation value and the reference second evaluation value; The target feedback adjustment parameter is determined based on the first deviation, the second deviation, the first feedback adjustment parameter, and the second feedback adjustment parameter; The first adjustment parameter is adjusted according to the target feedback adjustment parameter to obtain the target first adjustment parameter.

5. The method according to claim 4, characterized in that, Determining the target feedback adjustment parameter based on the first deviation, the second deviation, the first feedback adjustment parameter, and the second feedback adjustment parameter includes: The first weight and the second weight are determined based on the first deviation and the second deviation. The target feedback adjustment parameter is determined based on the first feedback adjustment parameter, the second feedback adjustment parameter, the first weight, and the second weight.

6. The method according to claim 4, characterized in that, Determining the target feedback adjustment parameter based on the first deviation, the second deviation, the first feedback adjustment parameter, and the second feedback adjustment parameter includes: Determine the smaller and larger values ​​between the first deviation and the second deviation; Determine the target ratio between the larger value and the smaller value; Determine the reference first feedback adjustment parameter corresponding to the larger value and the reference second feedback adjustment parameter corresponding to the smaller value among the first feedback adjustment parameter and the second feedback adjustment parameter; The target reference first feedback adjustment parameter is determined based on the reference first feedback adjustment parameter and the target ratio; The target feedback adjustment parameter is determined based on the second reference feedback adjustment parameter and the first target reference feedback adjustment parameter.

7. The method according to any one of claims 1-6, characterized in that, The step of adjusting the first working parameter according to the lower threshold to obtain the third working parameter includes: Obtain the target external environment parameters of the intelligent power supply; Determine a second adjustment parameter corresponding to the target external environment parameters; The target downward adjustment parameter is determined based on the second adjustment parameter and the lower limit threshold. The first operating parameter is adjusted according to the target reduction parameter to obtain the third operating parameter.

8. A digital power management device, characterized in that, The device includes: an acquisition unit, a determination unit, and a control unit, wherein, The acquisition unit is used to acquire target application scenario data of the smart power supply; The determining unit is configured to determine a first operating parameter of the smart power supply corresponding to the target application scenario data, and control the smart power supply to operate with the first operating parameter; and determine a target adjustment range parameter corresponding to the target application scenario data, wherein the target adjustment range parameter includes an upper limit threshold and a lower limit threshold. The acquisition unit is also used to acquire user operation data; The control unit is configured to, when the user operation data meets a first preset condition, adjust the first operating parameter according to the upper limit threshold to obtain a second operating parameter, and control the smart power supply to operate with the second operating parameter; and when the user operation data meets a second preset condition, adjust the first operating parameter according to the lower limit threshold to obtain a third operating parameter, and control the smart power supply to operate with the third operating parameter.

9. A smart power supply, characterized in that, It includes a processor and a memory, the memory being used to store one or more programs and configured to be executed by the processor, the programs including instructions for performing the steps of the method as described in any one of claims 1-7.

10. A computer-readable storage medium or computer program, characterized in that, A computer-readable storage medium stores a computer program, wherein the computer program causes a computer to perform the method as described in any one of claims 1-7.

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