Digital management method of power supply and related device

Abstract

The present application discloses a digital management method for a power supply and a related device, the method comprising: acquiring target application scenario data of an intelligent power supply; 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; 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; acquiring user operation data; 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; 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.

Description

Technical Field

[0001] The present application relates to the field of power management technology, and in particular to a digital power management method and related devices. Background Art

[0002] With the rapid development of science and technology, power supply systems are increasingly used in various fields, and the requirements for their performance, efficiency and management are becoming higher and higher. Traditional power management methods often rely on manual operation and experience judgment, which is inefficient and reduces the intelligence of power supply control. Therefore, how to improve the intelligence of power supply control needs to be solved urgently. Summary of the invention

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

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

[0005] Obtain target application scenario data of smart power supply;

[0006] 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;

[0007] Determine a 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;

[0008] Get user operation data;

[0009] When the user operation data meets a first preset condition, the first operating parameter is adjusted according to the upper limit threshold to obtain a second operating parameter, and the smart power supply is controlled to operate with the second operating parameter;

[0010] When the user operation data meets the second preset condition, the first operating parameter is adjusted according to the lower limit threshold to obtain a third operating parameter, and the smart power supply is controlled to operate with the third operating parameter;

[0011] When the user operation data does not satisfy the first preset condition and the second preset condition, the step of controlling the intelligent power supply to operate with the first operating parameter is continued.

[0012] In a second aspect, an embodiment of the present application provides a digital management device for a power supply, the device comprising: an acquisition unit, a determination unit and a control unit, wherein:

[0013] The acquisition unit is used to acquire target application scenario data of the smart power supply;

[0014] The determination unit is used to determine a first operating parameter of the intelligent power supply corresponding to the target application scenario data, and control the intelligent power supply to operate with the first operating parameter; determine a 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;

[0015] The acquisition unit is further used to acquire user operation data;

[0016] The control unit is used to adjust the first operating parameter according to the upper threshold value to obtain the second operating parameter when the user operation data meets the first preset condition, and control the smart power supply to work with the second operating parameter; when the user operation data meets the second preset condition, adjust the first operating parameter according to the lower threshold value to obtain the third operating parameter, and control the smart power supply to work with the third operating parameter; when the user operation data does not meet the first preset condition and the second preset condition, continue to execute the step of controlling the smart power supply to work with the first operating parameter.

[0017] 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.

[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, 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.

[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 embodiment of the present application. The computer program product may be a software installation package.

[0020] The implementation of the embodiments of the present application has the following beneficial effects:

[0021] It can be seen that the digital management method and related devices of the power supply described in the embodiments of the present application obtain target application scenario data of the intelligent power supply, determine a first operating parameter of the intelligent power supply corresponding to the target application scenario data, control the intelligent power supply to work with the first operating parameter, determine a target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter includes an upper threshold value and a lower threshold value, obtain user operation data, and when the user operation data meets the first preset condition, adjust the first operating parameter according to the upper threshold value to obtain the second operating parameter, control the intelligent power supply to work with the second operating parameter, and when the user operation data meets the second preset condition, adjust the first operating parameter according to the lower threshold value to obtain the third operating parameter, and control the intelligent power supply to work with the second operating parameter. The smart power supply operates with a third operating parameter, and 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 parameter is continued to be executed. In this way, firstly, the operating parameters of the corresponding smart power supply and the corresponding adjustment range parameters can be adapted based on the specific application scenario data, and the adjustment range parameters include an upper threshold value and a lower threshold value. Secondly, the operating parameters of the smart power supply can be dynamically adjusted based on the specific operation behavior of the user and the upper threshold value and the lower threshold value. Since the adjustment limit of the smart power supply is known in advance, the smart power supply adjustment can be quickly realized under the adjustment limit, that is, the working safety of the smart power supply is guaranteed, and the performance of the smart power supply can be quickly and dynamically adjusted, thereby improving the intelligence of the power supply control. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] 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 any creative work.

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

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

[0025] Figure 3 This is a block diagram of the functional units of a digital power management device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] See also Figure 1 , Figure 1 : is a flow chart of a digital management method of a power supply provided in an embodiment of the present application. As shown in the figure, the digital management method of the power supply includes:

[0031] 101. Obtain target application scenario data of the smart power supply.

[0032] Among them, the target application scenario data can be understood as at least one of the usage environment, foreground application, background application, and working mode of the smart power supply. There is no limitation here. In the specific implementation, the target application scenario data of the smart power supply can be obtained, which helps to dynamically adapt the corresponding working parameters, ensuring user operation while also helping to achieve energy saving purposes.

[0033] 102. 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.

[0034] In a specific implementation, a mapping relationship between preset application scenario data and the working parameters of the smart power supply can be pre-set. Based on the mapping relationship, the first working parameters of the smart power supply corresponding to the target application scenario data can be determined, and then the smart power supply can be controlled to work with the first working parameters. In this way, the working parameters corresponding to the actual application scenario can be obtained, which helps to improve the initial guarantee of user operation needs.

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

[0036] In a specific implementation, different application scenario data may correspond to different adjustment range parameters, and the adjustment range parameters may include an upper threshold and a lower threshold, that is, the mapping relationship between the preset application scenario data and the adjustment range parameters may be pre-stored, and then, the target adjustment range parameters corresponding to the target application scenario data may be determined based on the mapping relationship, and the target adjustment range parameters include an upper threshold and a lower threshold. In this way, it can be ensured that the smart power supply is over-regulated or poorly regulated, that is, the adjustment limit of the smart power supply is known in advance, that is, the smart power supply adjustment can be quickly realized within the adjustment limit, that is, the working safety of the smart power supply is guaranteed, and the performance of the smart power supply can be quickly and dynamically adjusted.

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

[0038] 31. Determine minimum operating parameters and ideal operating parameters corresponding to the target application scenario data;

[0039] 32. Determine the lower limit threshold according to the minimum operating parameter and the first operating parameter;

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

[0041] In a specific implementation, different application scenario data may correspond to different minimum operating parameters, and the minimum operating parameters may be understood as the operating parameters for maintaining the standby state in a specific application scenario. Correspondingly, different application scenario data may correspond to different ideal operating parameters, and the ideal operating parameters may be understood as the operating parameters for exerting the maximum potential of the intelligent power supply in a specific application scenario. Both the minimum operating parameters and the ideal operating parameters may be preset or set by the system by default.

[0042] Next, a lower threshold value can be determined according to the minimum operating parameter and the first operating parameter, that is, the lower threshold value = minimum operating parameter - first operating parameter. Correspondingly, an upper threshold value can be determined according to the ideal operating parameter and the first operating parameter, that is, the upper threshold value = ideal operating parameter - first operating parameter. Since the adjustment limit of the intelligent power supply is known in advance, the intelligent power supply adjustment can be quickly realized within the adjustment limit, that is, the working safety of the intelligent power supply is guaranteed, and the performance of the intelligent power supply can be quickly and dynamically adjusted.

[0043] 104. Obtain user operation data.

[0044] Among them, in the embodiment of the present application, the user operation data may include at least one of the following: operation instructions, operation frequency, operation area, operation force, operation purpose, etc., which are not limited here.

[0045] In a specific implementation, the user operation data may be acquired at a preset time interval, and the user operation data may be detected to determine whether it meets any of the conditions in step 105 to step 107, and then the corresponding operation may be performed. The preset time interval may be preset or set by the system by default.

[0046] 105. 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 intelligent power supply to operate with the second operating parameter.

[0047] In a specific implementation, the first preset condition can be preset or the system defaults. For example, when the user operation data includes the operating frequency, when the operating frequency is in the first preset operating frequency range, it means that the user operation data meets the first preset condition. The first preset operating frequency range can be preset or the system defaults. When the user operation data meets the first preset condition, it means that the power supply needs to provide more energy to meet the operation requirements at the current moment. The first operating parameter can be adjusted according to the upper limit threshold to obtain the second operating parameter, and the smart power supply can be controlled to work with the second operating parameter. Since the upper limit of the adjustment of the smart power supply is known in advance, the smart power supply adjustment can be quickly realized under the upper limit, that is, the working safety of the smart power supply is guaranteed, and the performance of adjusting the smart power supply can be improved to meet the operation requirements and improve the user experience.

[0048] In some possible examples, the above step 105, adjusting the first operating parameter according to the upper limit threshold to obtain the second operating parameter, may include the following steps:

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

[0050] 52. Obtain target hardware environment parameters and target software environment parameters of the intelligent power supply;

[0051] 53. 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;

[0052] 54. 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;

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

[0054] 56. Adjust the first operating parameter according to the target increase parameter to obtain the second operating parameter.

[0055] Among them, the target hardware environment parameters may include at least one of the following: memory size, number of processor cores, processor model, processor occupancy, disk usage, CPU temperature, etc., which are not limited here. The target hardware environment parameters reflect the hardware configuration and the corresponding hardware performance.

[0056] Among them, the target software environment parameters may include at least one of the following: network bandwidth, operating system, software version, cache size, number of processes, number of threads, number of handles, etc., which are not limited here. The target software environment parameters reflect the software configuration and the corresponding software performance.

[0057] In the embodiment 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 a specific implementation, the target hardware environment parameters and target software environment parameters of the smart power supply can also be obtained, and the mapping relationship between the preset hardware environment parameters and the feedback adjustment parameters can 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. 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 parameters reflect the degree of adjustment support at the hardware level to a certain extent, and the software environment parameters reflect the degree of adjustment support at the software level to a certain extent. Since the adjustment upper limit of the smart power supply is known in advance, the feedback adjustment can, to a certain extent, maximize the support of the smart power supply to achieve maximum support under the target application scenario data.

[0059] Next, the target upward adjustment parameter is determined according to the target first adjustment parameter and the upper limit threshold, that is, the target upward adjustment parameter = the upper limit threshold × (1-target first adjustment parameter), and then the first working parameter is adjusted according to the target upward adjustment parameter to obtain the second working parameter, that is, the second working parameter = the target upward adjustment parameter + the first working parameter. In this way, since the adjustment upper limit of the smart power supply is known in advance, the smart power supply adjustment can be quickly implemented under the adjustment upper limit. Specifically, the hardware environment parameters reflect the adjustment support level at the hardware level to a certain extent, and the software environment parameters reflect the adjustment support level at the software level to a certain extent. On this basis, the rotation of the hardware and software of the smart power supply can be brought into play, that is, the working safety of the smart power supply is guaranteed, and the potential of the smart power supply under the target application scenario data can be maximized, and the performance of adjusting the smart power supply can be improved to meet operational requirements and improve user experience.

[0060] In some possible examples, the above step 54, 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, may include the following steps:

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

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

[0063] 543. Determine a reference first evaluation value corresponding to a hardware environment parameter and a reference second evaluation value corresponding to a software environment parameter under 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, and the second feedback adjustment parameter;

[0067] 547. Adjust the first adjustment parameter according to the target feedback adjustment parameter to obtain the target first adjustment parameter.

[0068] In an embodiment of the present application, a mapping relationship between preset hardware environment parameters and evaluation values ​​can be pre-stored, and then, a first evaluation value corresponding to the target hardware environment parameter can be determined based on the mapping relationship. A mapping relationship between preset software environment parameters and evaluation values ​​can also be pre-stored, and then, a 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 two dimensions: hardware and software.

[0069] Next, 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 can also be determined. In a specific implementation, the reference first evaluation value can be understood as the best hardware working environment evaluation value under the target application scenario data, and correspondingly, the reference second evaluation value can be understood as the best software working environment evaluation value under the target application scenario data. The reference first evaluation value and the reference second evaluation value can both be preset or system default, and they can both be empirical values ​​or theoretical values. Different application scenario data can correspond to different reference first evaluation values ​​corresponding to hardware environment parameters and 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. 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. Correspondingly, the second deviation between the second evaluation value and the reference second evaluation value can be determined. 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 is 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, as well as the difference between the actual software environment and the ideal software environment to a certain extent, based on the influence of hardware and software, they dynamically reflect the degree of adjustment support at the hardware level and the software level. Furthermore, Dynamically determine the influence of the first feedback adjustment parameter and the second feedback adjustment parameter, finally determine the target feedback adjustment parameter based on the influence, and then adjust the first adjustment parameter 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) × the first adjustment parameter. In this way, since the adjustment upper limit of the intelligent power supply is known in advance, the intelligent power supply adjustment can be quickly realized under the adjustment upper limit. Specifically, the hardware environment parameters reflect the adjustment support degree of the hardware level to a certain extent, and the software environment parameters reflect the adjustment support degree of the software level to a certain extent. On this basis, the rotation of the hardware and software of the intelligent power supply can be brought into play, that is, the working safety of the intelligent power supply can be guaranteed, and the potential of the intelligent power supply under the target application scenario data can be maximized, and the performance of adjusting the intelligent power supply can be improved to meet the operation requirements and improve the user experience.

[0071] In some possible examples, the above step 546, 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, may include the following steps:

[0072] A1. Determine a first weight and a second weight according to the first deviation and the second deviation;

[0073] A2. Determine 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 specific implementation, the first weight and the second weight can be determined according to the first deviation and the second deviation, that is, the first weight = the first deviation / (the first deviation+the second deviation), the second weight = the second deviation / (the first deviation+the second deviation), that is, the larger the deviation, the smaller the adjustment support degree and the larger 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 and the second weight, as follows:

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

[0076] In this way, since the adjustment upper limit of the smart power supply is known in advance, the smart power supply adjustment can be quickly realized under the adjustment upper limit. The specific consideration of the hardware environment parameters reflects the adjustment support level at the hardware level to a certain extent, and the software environment parameters reflects the adjustment support level at the software level to a certain extent. On this basis, the rotation of the hardware and software of the smart power supply can be brought into play, that is, the working safety of the smart power supply can be guaranteed, and the potential of the smart power supply under the target application scenario data can be maximized, and the performance of adjusting the smart power supply can be improved to meet operational requirements and improve user experience.

[0077] In some possible examples, the above step 546, 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, may include the following steps:

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

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

[0080] B3. 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;

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

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

[0083] In a specific implementation, the smaller value and the larger value between the first deviation and the second deviation can be determined, and then the target ratio between the larger value and the smaller value can be determined, the target ratio = larger value / smaller value, and then 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 can be determined. Specifically, the hardware environment parameters reflect the degree of adjustment support at the hardware level to a certain extent, and the software environment parameters reflect the degree of adjustment support at the software level to a certain extent. If the deviation is smaller, it means that the smaller the degree of adjustment support is, the greater the degree of feedback adjustment is. Then, the target reference first feedback adjustment parameter is determined based on the reference first feedback adjustment parameter and the target ratio, that is, the target reference first feedback adjustment parameter = reference first feedback adjustment parameter / target ratio. , then 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 = reference second feedback adjustment parameter + target reference first feedback adjustment parameter. In this way, since the adjustment upper limit of the intelligent power supply is known in advance, the intelligent power supply adjustment can be quickly realized under the adjustment upper limit. Specifically, the hardware environment parameters reflect the adjustment support degree at the hardware level to a certain extent, and the software environment parameters reflect the adjustment support degree at the software level to a certain extent. On this basis, the rotation of the hardware and software of the intelligent power supply can be brought into play, that is, the working safety of the intelligent power supply can be guaranteed, and the potential of the intelligent power supply under the target application scenario data can be maximized, and the performance of adjusting the intelligent power supply can be improved to meet the operation requirements and improve the user experience.

[0084] 106. When the user operation data meets a second preset condition, adjust the first operating parameter according to the lower threshold to obtain a third operating parameter, and control the smart power supply to operate with the third operating parameter.

[0085] In a specific implementation, the second preset condition can be preset or set by the system default. For example, when the user operation data includes the operation frequency, if the operation frequency is within the second preset operation frequency range, it means that the user operation data meets the second preset condition. The second preset operation frequency range can be preset or set by the system default. When the user operation data meets the second preset condition, it means 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 limit threshold to obtain the third working parameter, and the smart power supply is controlled to work with the third working parameter. Since the adjustment lower limit of the smart power supply is known in advance, the smart power supply adjustment can be quickly realized under the adjustment lower limit, that is, the working safety of the smart power supply is ensured, and the energy consumption of adjusting the smart power supply can be reduced to achieve the purpose of energy saving.

[0086] In some possible examples, the above step 106, adjusting the first operating parameter according to the lower limit threshold to obtain the third operating parameter, may include the following steps:

[0087] 61. Obtain external environmental parameters of the intelligent power supply;

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

[0089] 63. Determine a target downward adjustment parameter according to the second adjustment parameter and the lower limit threshold;

[0090] 64. Adjust the first operating parameter according to the target downward adjustment parameter to obtain the third operating parameter.

[0091] In a specific implementation, the external environmental parameters may include at least one of the following: ambient temperature, ambient humidity, atmospheric pressure, magnetic field interference intensity, ambient light intensity, etc., which are not limited here.

[0092] In the embodiment of the present application, the target external environment parameters of the smart power supply can be obtained, and the mapping relationship between the preset external environment parameters and the adjustment parameters can be pre-stored. Then, the second adjustment parameter corresponding to the target external environment parameter can be determined based on the mapping relationship, and then the target down-adjustment parameter is determined according to the second adjustment parameter and the lower limit threshold, that is, the target down-adjustment parameter = the lower limit threshold + the second adjustment parameter. Finally, the first working parameter is adjusted according to the target down-adjustment parameter to obtain the third working parameter, that is, the third working parameter = the first working parameter + the target down-adjustment parameter. That is, when the user operates less, the power supply does not need to provide too much energy. Since the adjustment lower limit of the smart power supply is known in advance, the smart power supply adjustment can be dynamically and quickly realized under the adjustment lower limit in combination with the actual external environment, that is, the working safety of the smart power supply is guaranteed, and the energy consumption of adjusting the smart power supply can be reduced to achieve the purpose of energy saving.

[0093] 107. When the user operation data does not satisfy the first preset condition and the second preset condition, continue to execute the step of controlling the intelligent power supply to operate with the first operating parameter.

[0094] In the embodiment of the present application, when the user operation data does not meet the first preset condition and the second preset condition, it means that the first working parameter of the smart power supply can meet the user operation requirements, and the step of controlling the smart power supply to work with the first working parameter can continue to be executed. In this way, a stable working state can be maintained to ensure the user operation requirements and improve the user experience.

[0095] It can be seen that the digital management method of the power supply described in the embodiment of the present application obtains the target application scenario data of the intelligent power supply, determines the 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 the target adjustment range parameter corresponding to the target application scenario data, and the target adjustment range parameter includes an upper threshold value and a lower threshold value, obtains the user operation data, and when the user operation data meets the first preset condition, adjusts the first working parameter according to the upper threshold value to obtain the second working parameter, controls the intelligent power supply to work with the second working parameter, and when the user operation data meets the second preset condition, adjusts the first working parameter according to the lower threshold value to obtain the third working parameter, and controls the intelligent power supply The smart power supply operates with the third operating parameter, and 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 parameter is continued. In this way, firstly, the operating parameters of the corresponding smart power supply and the corresponding adjustment range parameters can be adapted based on the specific application scenario data, and the adjustment range parameters include an upper threshold value and a lower threshold value. Secondly, the operating parameters of the smart power supply can be dynamically adjusted based on the specific operation behavior of the user and the upper threshold value and the lower threshold value. Since the adjustment limit of the smart power supply is known in advance, the smart power supply adjustment can be quickly realized within the adjustment limit, that is, the working safety of the smart power supply is guaranteed, and the performance of the smart power supply can be quickly and dynamically adjusted, thereby improving the intelligence of the power supply control.

[0096] 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:

[0097] Obtain target application scenario data of smart power supply;

[0098] 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;

[0099] Determine a 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;

[0100] Get user operation data;

[0101] When the user operation data meets a first preset condition, the first operating parameter is adjusted according to the upper limit threshold to obtain a second operating parameter, and the smart power supply is controlled to operate with the second operating parameter;

[0102] When the user operation data meets the second preset condition, the first operating parameter is adjusted according to the lower limit threshold to obtain a third operating parameter, and the smart power supply is controlled to operate with the third operating parameter;

[0103] When the user operation data does not satisfy the first preset condition and the second preset condition, the step of controlling the intelligent power supply to operate with the first operating parameter is continued.

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

[0105] Determining a first adjustment parameter corresponding to the user operation data;

[0106] Acquire target hardware environment parameters and target software environment parameters of the intelligent power supply;

[0107] 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;

[0108] 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;

[0109] Determining a target upward adjustment parameter according to the target first adjustment parameter and the upper limit threshold;

[0110] The first operating parameter is adjusted according to the target increase parameter to obtain the second operating 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 the target first adjustment parameter, the program includes instructions for executing the following steps:

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

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

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

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

[0116] determining 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] The first adjustment parameter is adjusted according to the target feedback adjustment parameter to obtain a target first adjustment parameter.

[0119] In some possible examples, in 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 program 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] A target feedback adjustment parameter is determined 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 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 program includes instructions for performing the following steps:

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

[0124] determining 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] determining a target reference first feedback adjustment parameter according to the reference first feedback adjustment parameter and the target ratio;

[0127] The target feedback adjustment parameter is determined according to the reference second feedback adjustment parameter and the target reference first feedback adjustment parameter.

[0128] In some possible examples, in the aspect of adjusting the first operating parameter according to the lower threshold to obtain the third operating parameter, the program includes instructions for executing the following steps:

[0129] Acquiring target external environmental parameters of the intelligent power supply;

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

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

[0132] The first operating parameter is adjusted according to the target down-adjustment parameter to obtain the third operating parameter.

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

[0134] Determining minimum operating parameters and ideal operating parameters corresponding to the target application scenario data;

[0135] Determine the lower threshold value according to the minimum operating parameter and the first operating parameter;

[0136] The upper limit threshold is determined according to the ideal operating parameter and the first operating parameter.

[0137] It can be seen that the intelligent power supply described in the embodiment of the present application obtains the target application scenario data of the intelligent power supply, determines the 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 the target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter includes an upper threshold value and a lower threshold value, obtains the user operation data, and when the user operation data meets the first preset condition, adjusts the first working parameter according to the upper threshold value to obtain the second working parameter, controls the intelligent power supply to work with the second working parameter, and when the user operation data meets the second preset condition, adjusts the first working parameter according to the lower threshold value to obtain the third working parameter, and controls the intelligent power supply to work with the third The working parameters are operated, and 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 operate with the first working parameters is continued. In this way, firstly, the working parameters of the corresponding intelligent power supply and the corresponding adjustment range parameters can be adapted based on the specific application scenario data, and the adjustment range parameters include an upper threshold value and a lower threshold value. Secondly, the working parameters of the intelligent power supply can be dynamically adjusted based on the specific operation behavior of the user and the upper threshold value and the lower threshold value. Since the adjustment limit of the intelligent power supply is known in advance, the intelligent power supply adjustment can be quickly realized under the adjustment limit, that is, the working safety of the intelligent power supply is guaranteed, 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 3 is a functional unit composition block diagram of a digital power management device 300 involved in an embodiment of the present application. The digital power management device 300 includes: an acquisition unit 301, a determination unit 302 and a control unit 303, wherein:

[0139] The acquisition unit 301 is used to acquire target application scenario data of the smart power supply;

[0140] The determining unit 302 is used to determine a first operating parameter of the intelligent power supply corresponding to the target application scenario data, and control the intelligent power supply to work with the first operating parameter; determine a 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;

[0141] The acquisition unit 301 is also used to acquire user operation data;

[0142] The control unit 303 is used to adjust the first working parameter according to the upper threshold value to obtain the second working parameter when the user operation data meets the first preset condition, and control the smart power supply to work with the second working parameter; when the user operation data meets the second preset condition, adjust the first working parameter according to the lower threshold value to obtain the third working parameter, and control the smart power supply to work with the third working parameter; when the user operation data does not meet the first preset condition and the second preset condition, continue to execute the step of controlling the smart power supply to work with the first working parameter.

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

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

[0145] Acquire target hardware environment parameters and target software environment parameters of the intelligent 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] Determining a target upward adjustment parameter according to the target first adjustment parameter and the upper limit threshold;

[0149] The first operating parameter is adjusted according to the target increase parameter to obtain the second operating parameter.

[0150] 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 the target first adjustment parameter, the control unit 303 is specifically used to:

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

[0152] Performing a 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 and a reference second evaluation value corresponding to a software environment parameter under the target application scenario data;

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

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

[0156] 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;

[0157] The first adjustment parameter is adjusted according to the target feedback adjustment parameter to obtain a target first adjustment parameter.

[0158] In some possible examples, in 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 control unit 303 is specifically configured to:

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

[0160] A target feedback adjustment parameter is determined 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 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 control unit 303 is specifically configured to:

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

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

[0164] 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;

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

[0166] The target feedback adjustment parameter is determined according to the reference second feedback adjustment parameter and the target reference first feedback adjustment parameter.

[0167] In some possible examples, in the aspect of adjusting the first operating parameter according to the lower threshold to obtain the third operating parameter, the control unit 303 is specifically configured to:

[0168] Acquiring target external environmental parameters of the intelligent power supply;

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

[0170] Determine a target downward adjustment parameter according to the second adjustment parameter and the lower limit threshold;

[0171] The first operating parameter is adjusted according to the target down-adjustment parameter to obtain the third operating parameter.

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

[0173] Determining minimum operating parameters and ideal operating parameters corresponding to the target application scenario data;

[0174] Determine the lower threshold value according to the minimum operating parameter and the first operating parameter;

[0175] The upper limit threshold is determined according to the ideal operating parameter and the first operating parameter.

[0176] It can be seen that the digital management device of the power supply described in the embodiment of the present application obtains the target application scenario data of the intelligent power supply, determines the 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 the target adjustment range parameter corresponding to the target application scenario data, the target adjustment range parameter includes an upper threshold value and a lower threshold value, obtains the user operation data, and when the user operation data meets the first preset condition, adjusts the first working parameter according to the upper threshold value to obtain the second working parameter, controls the intelligent power supply to work with the second working parameter, and when the user operation data meets the second preset condition, adjusts the first working parameter according to the lower threshold value to obtain the third working parameter, and controls the intelligent power supply The smart power supply operates with the third operating parameter, and 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 parameter is continued. In this way, firstly, the operating parameters of the corresponding smart power supply and the corresponding adjustment range parameters can be adapted based on the specific application scenario data, and the adjustment range parameters include an upper threshold value and a lower threshold value. Secondly, the operating parameters of the smart power supply can be dynamically adjusted based on the specific operation behavior of the user and the upper threshold value and the lower threshold value. Since the adjustment limit of the smart power supply is known in advance, the smart power supply adjustment can be quickly realized within the adjustment limit, that is, the working safety of the smart power supply is guaranteed, and the performance of the smart power supply can be quickly and dynamically adjusted, thereby improving the intelligence of the power supply control.

[0177] It can be understood that the functions of each program module of the digital power management device 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.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] 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.

[0185] 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.

[0186] 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.

[0187] 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 digital management method for power supply, characterized in that: The method comprises: Obtain target application scenario data of smart power supply; 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; Determine a 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; Get 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 intelligent power supply is controlled to work with the second operating parameter; when the user operation data includes an operating frequency, if the operating frequency is within a first preset operating frequency range, it is determined that the user operation data meets the first preset condition; When the user operation data meets the second preset condition, the first operating parameter is adjusted according to the lower limit threshold to obtain a third operating parameter, and the intelligent power supply is controlled to work with the third operating parameter; when the user operation data includes an operating frequency, if the operating frequency is within a second preset operating frequency range, it is determined that the user operation data meets the second preset condition; When the user operation data does not satisfy the first preset condition and the second preset condition, the step of controlling the intelligent power supply to operate with the first operating parameter is continued.

2. The method according to claim 1, characterized in that: The step of adjusting the first operating parameter according to the upper threshold value to obtain the second operating parameter includes: Determining a first adjustment parameter corresponding to the user operation data; Acquire 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 parameter, and determine a second feedback adjustment parameter corresponding to the target software environment parameter; 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; Determining a target upward adjustment parameter according to the target first adjustment parameter and the upper limit threshold; The first operating parameter is adjusted according to the target increase parameter to obtain the second operating parameter.

3. The method according to claim 2, 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 a target first adjustment parameter includes: Performing a working environment evaluation according to the target hardware environment parameter to obtain a first evaluation value; Performing a working environment evaluation according to the target software environment parameter to obtain a second evaluation value; Determine a reference first evaluation value corresponding to a hardware environment parameter and a reference second evaluation value corresponding to a software environment parameter under the target application scenario data; determining a first deviation between the first evaluation value and the reference first evaluation value; determining a second deviation between the second evaluation value and the reference second evaluation value; determining a target feedback adjustment parameter according to 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 a target first adjustment parameter.

4. The method according to claim 3, characterized in that The determining a target feedback adjustment parameter according to the first deviation, the second deviation, the first feedback adjustment parameter, and the second feedback adjustment parameter includes: Determine a first weight and a second weight according to the first deviation and the second deviation; A target feedback adjustment parameter is determined according to the first feedback adjustment parameter, the second feedback adjustment parameter, the first weight, and the second weight.

5. The method according to claim 3, characterized in that: The determining a target feedback adjustment parameter according to the first deviation, the second deviation, the first feedback adjustment parameter, and the second feedback adjustment parameter includes: determining a smaller value and a larger value between the first deviation and the second deviation; determining a target ratio between the larger value and the smaller value; 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; determining a target reference first feedback adjustment parameter according to the reference first feedback adjustment parameter and the target ratio; The target feedback adjustment parameter is determined according to the reference second feedback adjustment parameter and the target reference first feedback adjustment parameter.

6. The method according to any one of claims 1 to 5, characterized in that: The step of adjusting the first operating parameter according to the lower threshold to obtain a third operating parameter includes: Acquiring target external environmental parameters of the intelligent power supply; Determining a second adjustment parameter corresponding to the target external environment parameter; Determine a target downward adjustment parameter according to the second adjustment parameter and the lower limit threshold; The first operating parameter is adjusted according to the target down-adjustment parameter to obtain the third operating parameter.

7. The method according to any one of claims 1 to 5, characterized in that: The determining of the target adjustment range parameter corresponding to the target application scenario data includes: Determining minimum operating parameters and ideal operating parameters corresponding to the target application scenario data; Determine the lower threshold value according to the minimum operating parameter and the first operating parameter; The upper limit threshold is determined according to the ideal operating parameter and the first operating parameter.

8. A digital power management device, characterized in that: The device comprises: 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 determination unit is used to determine a first operating parameter of the intelligent power supply corresponding to the target application scenario data, and control the intelligent power supply to work with the first operating parameter; determine a 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; The acquisition unit is further used to acquire user operation data; The control unit is configured to adjust the first operating parameter according to the upper limit threshold to obtain a second operating parameter when the user operation data meets the first preset condition, and control the intelligent power supply to work with the second operating parameter; when the user operation data includes an operating frequency, if the operating frequency is within a first preset operating frequency range, it is determined that the user operation data meets the first preset condition; When the user operation data meets the second preset condition, the first operating parameter is adjusted according to the lower limit threshold to obtain a third operating parameter, and the intelligent power supply is controlled to work with the third operating parameter; when the user operation data includes an operating frequency, if the operating frequency is within a second preset operating frequency range, it is determined that the user operation data meets the second preset condition; When the user operation data does not satisfy the first preset condition and the second preset condition, the step of controlling the intelligent power supply to operate with the first operating parameter is continued.

9. 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 programs include instructions for executing the steps in the method according to any one of claims 1 to 7.

10. 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 7.

Images