A data cable power supply system and its control method

Abstract

The present application provides a data cable power supply system and a control method thereof. By determining the switching nodes during the working condition switching process of the data cable power supply device, the load stability margin of each switching node is determined according to the historical load data of the data cable power supply device; the equivalent impedance data during the working condition switching of the data cable power supply device is obtained, and the impedance fluctuation entropy caused by the equivalent impedance when the load of the data cable power supply device changes is determined according to the equivalent impedance data; the load switching cost of the corresponding switching node is determined through each load stability margin and impedance fluctuation entropy, and then the load compensation amount during the working condition switching process of the data cable power supply device is determined according to all the load switching costs; the load power of the switching node in the data cable power supply device is compensated based on the load compensation amount. By adopting the solution of the present application, dynamic compensation for the load power during the working condition switching of the data cable power supply device can be realized, thereby improving the power supply stability during the working condition switching of the data cable power supply system.

Description

Technical Field

[0001] This application relates to the technical field of power supply systems. More specifically, this application relates to a data cable power supply system and its control method. Background Art

[0002] The power supply system is one of the important infrastructure in modern society. Its main components include a power generation system, a power transmission network, and a power distribution network, ensuring the efficient, safe, and reliable transmission of electricity in each link. Whether it is industrial production, commercial operation, or residential life, it is inseparable from a stable power supply. Especially today, with the rapid development of informatization and intelligentization, the stability and reliability of the power supply system become even more crucial. Any power supply interruption may cause serious economic losses and social impacts. In addition, with the wide application of renewable energy and the development of smart grid technology, the optimization and upgrading of the power supply system have also become extremely important to achieve efficient energy utilization and environmental protection.

[0003] The data cable power supply system integrates power and data transmission through a standardized interface and is widely used in industrial automation and intelligent manufacturing, significantly improving the flexibility, reliability, and system integration of equipment. Through the data cable power supply system, the cost of equipment connection and maintenance can be reduced, and the energy utilization rate can also be improved. However, in the actual industrial production process, the external load is usually variable. When the external load changes, the data cable power supply device needs to switch to the corresponding working mode. During the switching process of the working mode, due to the intermittent jitter of the load power caused by the change of the load, it will lead to the intermittent instability of the power supply system. By performing power compensation on the load during the switching of the operating conditions of the data cable power supply device, the problem of intermittent jitter of the load power during the switching of the operating conditions can be effectively avoided. Therefore, how to dynamically compensate the load power during the switching of the operating conditions of the data cable power supply device to improve the power supply stability during the switching of the operating conditions of the data cable power supply system has become the main problem faced by the industry. Summary of the Invention

[0004] This application provides a data cable power supply system and its control method, which can realize dynamic compensation of the load power during the switching of the operating conditions of the data cable power supply device, thereby improving the power supply stability during the switching of the operating conditions of the data cable power supply system.

[0005] In a first aspect, this application provides a control method for a data cable power supply system, including the following steps:

[0006] Collect the load power when the data cable power supply device is working, and then obtain historical load data;

[0007] Determine the switching nodes during the switching process of the operating conditions of the data cable power supply device, and then determine the load stability margin of each switching node according to the historical load data;

[0008] Obtain the equivalent impedance data when the operating condition of the data line power supply device switches, and determine the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data;

[0009] Determine the load switching cost of the corresponding switching node through each load stability margin and the impedance fluctuation entropy, and then determine the load compensation amount during the operating condition switching process of the data line power supply device according to all the load switching costs;

[0010] Compensate the load power of the switching node in the data line power supply device based on the load compensation amount.

[0011] In some embodiments, determining the switching node during the operating condition switching process of the data line power supply device specifically includes:

[0012] Collect the load when the data line power supply device is working, and then obtain the historical load data;

[0013] Detect the historical load data based on a pre-trained load switching node detection model to obtain the switching node during the operating condition switching process of the data line power supply device.

[0014] In some embodiments, determining the load stability margin of each switching node according to the historical load data specifically includes:

[0015] Extract the switching load data of each switching node from the historical load data;

[0016] Determine the load stability margin of the corresponding switching node through each switching load data.

[0017] In some embodiments, determining the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data specifically includes:

[0018] Obtain the ambient temperature data when the operating condition of the data line power supply device switches;

[0019] Determine the temperature impedance disturbance rate through the ambient temperature data and the equivalent impedance data;

[0020] Convert the equivalent impedance data into an equivalent impedance sequence;

[0021] Determine the impedance fluctuation value between two adjacent equivalent impedances through the equivalent impedance sequence;

[0022] Determine the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the temperature impedance disturbance rate and all the impedance fluctuation values.

[0023] In some embodiments, determining the load switching cost of a corresponding switching node based on each load stability margin and the impedance fluctuation entropy specifically includes:

[0024] Select a load stability margin;

[0025] Obtain the steady-state load power of the switching node corresponding to this load stability margin before and after switching;

[0026] Determine the switching load power difference based on the steady-state load power before and after switching;

[0027] Determine the switching load difference of the corresponding switching node according to the switching load power difference and this load stability margin;

[0028] Adjust the switching load difference through the impedance fluctuation entropy to obtain a switching load adjustment value, and use the switching load adjustment value as the load switching cost of the switching node corresponding to this load stability margin;

[0029] Repeat the above steps to obtain the load switching costs of the switching nodes corresponding to the remaining load stability margins.

[0030] In some embodiments, determining the load compensation amount during the working condition switching of the data line power supply device according to all the load switching costs specifically includes:

[0031] Determine the switching cost dispersion according to all the load switching costs;

[0032] Determine the average cost of all the load switching costs;

[0033] Compensate the average cost through the switching cost dispersion to obtain the load compensation amount during the working condition switching of the data line power supply device.

[0034] In some embodiments, compensating the load power of the switching node in the data line power supply device based on the load compensation amount specifically includes:

[0035] Initialize a load compensation model;

[0036] Use the load compensation amount as the compensation parameter of the load compensation model;

[0037] Use the load power before the switching node as the initialization parameter of the load compensation model;

[0038] Use the load compensation model to compensate the load power of the switching node in the data line power supply device.

[0039] In a second aspect, the present application provides a data line power supply system, including a control unit, and the control unit includes:

[0040] An acquisition module, configured to collect the load power of the data line power supply device during operation, and thereby obtain historical load data;

[0041] A processing module, configured to determine the switching nodes during the working condition switching process of the data line power supply device, and thereby determine the load stability margin of each switching node according to the historical load data;

[0042] The processing module is further configured to obtain equivalent impedance data during the working condition switching of the data line power supply device, and determine the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data;

[0043] The processing module is further configured to determine the load switching cost of the corresponding switching node through each load stability margin and the impedance fluctuation entropy, and thereby determine the load compensation amount during the working condition switching process of the data line power supply device according to all the load switching costs;

[0044] An execution module, configured to compensate the load power of the switching node in the data line power supply device based on the load compensation amount.

[0045] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the control method of the data line power supply system described above.

[0046] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the control method of the data line power supply system described above is implemented.

[0047] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects:

[0048] In the data line power supply system and its control method provided by the present application, the load power of the data line power supply device during operation is collected, and thereby historical load data is obtained; the switching nodes during the working condition switching process of the data line power supply device are determined, and thereby the load stability margin of each switching node is determined according to the historical load data; the equivalent impedance data during the working condition switching of the data line power supply device is obtained, and the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes is determined according to the equivalent impedance data; the load switching cost of the corresponding switching node is determined through each load stability margin and the impedance fluctuation entropy, and thereby the load compensation amount during the working condition switching process of the data line power supply device is determined according to all the load switching costs; the load power of the switching node in the data line power supply device is compensated based on the load compensation amount.

[0049] It can be seen that the present application determines the load switching cost of the corresponding switching node through each load stability margin and the impedance fluctuation entropy, and then determines the load compensation amount through all the load switching costs. First, the load stability margin of each switching node is determined through historical load data, and thus the quantization value of the load change stability degree of each switching node can be obtained, which is convenient for obtaining a more accurate load compensation amount subsequently. Second, the impedance fluctuation entropy is determined according to the equivalent impedance data, and thus the quantization value of the complexity of the impedance change can be obtained, which is convenient for analyzing the fluctuation degree of the equivalent impedance change during the working condition switching process of the data line power supply system, and can realize the compensation for the charge fluctuation during the working condition switching process of the data line power supply system (the charge fluctuation is caused by the change of the equivalent impedance), so as to reduce the charge fluctuation caused by the impedance change. Then, the switching cost (i.e., the load switching cost) of each switching node is determined through the load stability margin and the impedance fluctuation entropy, and then the load compensation amount is determined through all the load switching costs. Finally, the above scheme comprehensively considers the stability degree of the load change and the complexity of the impedance change, can obtain a more accurate load compensation amount, is convenient for compensating the load power during the working condition switching of the data line power supply device subsequently, and thus adjusts the load in real time to ensure the stability of the power supply process. In summary, based on the above scheme, the present application can realize the dynamic compensation for the load power during the working condition switching of the data line power supply device, thereby improving the power supply stability during the working condition switching of the data line power supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is an exemplary flowchart of a control method for a data line power supply system shown in some embodiments of the present application;

[0051] Figure 2 is a schematic flowchart for determining the impedance fluctuation entropy shown in some embodiments of the present application;

[0052] Figure 3 is a schematic flowchart for determining the load switching cost shown in some embodiments of the present application;

[0053] Figure 4 is a schematic diagram of exemplary hardware and / or software of a control unit shown in some embodiments of the present application;

[0054] Figure 5 is a schematic diagram of the structure of a computer device applying the control method of the data line power supply system shown in some embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] The core of this application is to determine the switching nodes during the working condition switching process of the data line power supply device, and determine the load stability margin of each switching node according to the historical load data of the data line power supply device; obtain the equivalent impedance data when the working condition of the data line power supply device switches, and determine the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data; determine the load switching cost of the corresponding switching node through each load stability margin and impedance fluctuation entropy, and then determine the load compensation amount during the working condition switching process of the data line power supply device according to all the load switching costs; compensate the load power of the switching node in the data line power supply device based on the load compensation amount; adopting the solution of this application can realize dynamic compensation for the load power during the working condition switching of the data line power supply device, thereby improving the power supply stability during the working condition switching of the data line power supply system.

[0056] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments. Refer to Figure 1 , which is an exemplary flowchart of the control method of the data line power supply system shown in some embodiments of this application. The control method 100 of the data line power supply system mainly includes the following steps:

[0057] In step 101, collect the load power when the data line power supply device is working, and then obtain the historical load data.

[0058] Specifically, collecting the load power when the data line power supply device is working and then obtaining the historical load data can be implemented in the following way: after starting the data line power supply device, collect the load power when the data line power supply device is working at a preset sampling frequency, and use the set of all load powers collected within a specified time period as the historical load data. Among them, the value range of the preset sampling frequency is usually between 1000 - 2000 Hz. In other embodiments, it can also be set in other range intervals, which is not limited here. In addition, it should be noted that in this application, the specified time period can be set as the time period corresponding to the current moment to the past month. In other embodiments, it can be set as other time periods according to the working conditions of the data line power supply device, which is not limited here.

[0059] In step 102, determine the switching nodes during the working condition switching process of the data line power supply device, and then determine the load stability margin of each switching node according to the historical load data.

[0060] It should be noted that in this application, the switching node refers to the key node when the data line power supply device switches from one working condition (such as the first gear working mode) to another working condition (such as the second gear working mode) due to a change in the load. When the working mode changes, it will cause a change in the equivalent impedance of the data line power supply device, thereby causing instability in the power supply of the switching node.

[0061] In some embodiments, the switching node during the switching process of the data line power supply device can be determined by the following steps:

[0062] Collect the load of the data line power supply device during operation, and then obtain historical load data;

[0063] Detect the historical load data based on a pre-trained load switching node detection model to obtain the switching node during the switching process of the data line power supply device.

[0064] Specifically, when collecting the load of the data line power supply device during operation and then obtaining historical load data, it can be achieved in the following manner: Monitor the current and voltage of the data line power supply device during operation at a preset sampling frequency to obtain historical current data and historical voltage data, and use the set composed of historical current data and historical voltage data as historical load data. It should be noted that in this application, the historical current data represents the current data monitored within one month, and the historical voltage data represents the voltage data monitored within one month.

[0065] It should be noted that the load switching node detection model in this application refers to a machine learning model used to detect the switching node during the switching process of the data line power supply device. The load switching node detection model can be pre-trained in the following manner: Extract features from a specified number of load data (the load data includes: current, voltage) to obtain load features, and then use an existing machine learning model to perform labeled training on all load features to obtain the load switching node detection model; It should also be noted that the machine learning model in this application can use decision trees and random forests. In other embodiments, other existing models can also be used, which are not limited here; In addition, the load features in this application include: voltage mean, current mean, voltage variance, current variance, first-order voltage difference, and first-order current difference. In other embodiments, the load features may also include other frequency domain features, which are not limited here.

[0066] Specifically, when detecting the historical load data based on a pre-trained load switching node detection model to obtain the switching node during the switching process of the data line power supply device, it can be achieved in the following manner: Use the historical load data as the input of the load switching node detection model, and use the output of the load switching node detection model as the switching node during the switching process of the data line power supply device. It should be noted that there are multiple switching nodes in this application.

[0067] In some embodiments, the load stability margin of each switching node can be determined according to the historical load data by the following steps:

[0068] Extract the switching load data of each switching node from the historical load data;

[0069] Determine the load stability margin of the corresponding switching node based on each switching load data.

[0070] When specifically implemented, extracting the switching load data of each switching node from the historical load data can be achieved in the following manner, that is: Select a switching node, and intercept the switching data of the data line power supply device at the time of operating condition switching at this switching node from the historical load data. The switching data refers to the set of all load powers collected during the process from the start of the operating condition switching to the end of the switching. In order to facilitate the analysis of the change in load power before and after the operating condition switching of the data line power supply device, when intercepting the switching data, the load power data at both ends of the switching data is usually extended and intercepted, and the set composed of the extended and intercepted load power data and the switching data is used as the switching load data of this switching node. For example, if the historical load data is [a1, a2, a3,..., a n-2 , a n-1 , a n , and the switching data of this switching node is [a3,..., a n-2 , extend and intercept the load power data at both ends of the switching data [a3,..., a n-2 , then the extended and intercepted load power data a2 and a n-1 are obtained, and then the set [a2, a3,..., a n-2 , a n-1 composed of the extended and intercepted data and the switching data is used as the switching load data of this switching node.

[0071] Preferably, in the above embodiment, determining the load stability margin of the corresponding switching node based on each switching load data can be achieved through the following steps:

[0072] Select a switching load data;

[0073] Determine the range extreme value of this switching load data;

[0074] Determine the load dispersion of the switching node corresponding to this switching load data;

[0075] Determine the load variability of the switching node corresponding to this switching load data;

[0076] Determine the load stability margin of the switching node corresponding to this switching load data according to the range extreme value, the load dispersion, and the load variability;

[0077] Repeat the above steps to obtain the load stability margins of the remaining switching load data corresponding to the switching nodes.

[0078] In specific implementation, the range difference of the switching load data can be determined in the following manner, that is: the difference between the maximum load power and the minimum load power in the switching load data can be used as the range difference. The range difference provides the range between the maximum value and the minimum value in the switching load data, which can quickly understand the distribution range and span of the load power. During the data analysis process, calculating the range difference can help identify the overall fluctuation range of the load power and provide a preliminary overview of the load power distribution.

[0079] It should be noted that the load dispersion in this application is an index for measuring the dispersion degree of the load power in the switching load data. Through the load dispersion, the dispersion degree of the load power during the switching of the working conditions of the data line power supply equipment can be reflected. The greater the load dispersion, the greater the dispersion degree of the load power during the switching of the working conditions of the data line power supply equipment. In some embodiments, the variance of the switching load data can be used to describe the dispersion degree of the load power during the switching of the working conditions of the data line power supply equipment, that is, the variance of the switching load data is used as the load dispersion corresponding to the switching node of the switching load data. In other embodiments, the standard deviation of the switching load data can also be used to describe the dispersion degree of the load power during the switching of the working conditions of the data line power supply equipment, that is, the standard deviation of the switching load data is used as the load dispersion corresponding to the switching node of the switching load data. It is not limited here.

[0080] In specific implementation, the load variability corresponding to the switching node of the switching load data can be determined in the following manner, that is: the load powers in the switching load data can be arranged in a load sequence in the order of the acquisition time, and the change values between adjacent two load powers are calculated in turn. The change value represents the difference between adjacent two load powers, and then the average value of all change values is used as the load variability corresponding to the switching node of the switching load data. It should be noted that the load variability in this application reflects the change situation of the load power during the switching of the working conditions of the data line power supply equipment. In other embodiments, other existing technologies can also be used to determine the load variability, which will not be elaborated here.

[0081] In specific implementation, the load stability margin corresponding to the switching node of the switching load data can be determined according to the range difference, the load dispersion, and the load variability in the following manner, that is: the average load power in the switching load data can be calculated first, and then the load dispersion and the load variability are used as the adjustment coefficients of the average load power to obtain the load adjustment value. The ratio of the load adjustment value to the range difference is used as the load stability margin. As a preferred embodiment, the load stability margin can be determined by the following formula, that is: load stability margin = average load power * (load variability / load dispersion) / range difference; It should be noted that the load stability margin in this application is an index for measuring the ability of the data line power supply equipment to maintain stable operation under load changes.

[0082] In step 103, obtain the equivalent impedance data when the operating condition of the data line power supply device switches, and determine the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data.

[0083] It should be noted that when the data line power supply device supplies power to other devices, due to the different power requirements of other devices, it needs to switch to different working modes correspondingly under different power supply load conditions, and the load impedance of the data line power supply device is different in different working modes. Therefore, when the operating condition of the data line power supply device switches, its equivalent impedance will change accordingly. At the same time, the temperature may change during the operating condition switching process, and the temperature change will affect the resistance characteristics of circuit components. Therefore, in this application, the situation where the equivalent impedance changes when the operating condition of the data line power supply device switches is considered, so as to adjust the load power in real time during the operating condition switching to ensure the stability of the power supply process; in addition, it should also be noted that the equivalent impedance in this application = main power supply internal resistance + cable impedance + load impedance.

[0084] Specifically, obtaining the equivalent impedance data when the operating condition of the data line power supply device switches can be achieved by the following method, that is: during the process of the operating condition of the data line power supply device switching, record the instantaneous change data of voltage and current, export the recorded data to data processing software (such as MATLAB, Python), use Ohm's law to calculate the equivalent impedance at each time point, and then use the set composed of the equivalent impedances at each time point as the equivalent impedance data when the operating condition of the data line power supply device switches.

[0085] In some embodiments, refer to Figure 2 As shown in the figure, which is a schematic flow chart for determining the impedance fluctuation entropy in some embodiments of this application. In this embodiment, determining the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data can be achieved by the following steps:

[0086] First, in step 1031, obtain the ambient temperature data when the operating condition of the data line power supply device switches;

[0087] Second, in step 1032, determine the temperature impedance perturbation rate through the ambient temperature data and the equivalent impedance data;

[0088] Then, in step 1033, convert the equivalent impedance data into an equivalent impedance sequence;

[0089] Again, in step 1034, determine the impedance fluctuation value between two adjacent equivalent impedances through the equivalent impedance sequence;

[0090] Finally, in step 1035, when determining the change in the load of the data line power supply device based on the temperature impedance perturbation rate and all impedance fluctuation values, the impedance fluctuation entropy caused by the equivalent impedance is generated.

[0091] When specifically implemented, obtaining the ambient temperature data during the condition switching of the data line power supply device can be achieved by the following method, that is: the temperature of the working environment of the data line power supply device can be detected by a temperature sensor at a specified sampling frequency, and the temperature data collected during the condition switching of the data line power supply device is used as the ambient temperature data in this application. Among them, the value range of the specified sampling frequency can be set between 1000Hz - 2000Hz. In other embodiments, the value range of the specified sampling frequency can also be set in other range intervals, which is not limited here.

[0092] When specifically implemented, determining the temperature impedance perturbation rate through the ambient temperature data and the equivalent impedance data can be achieved by the following method, that is: performing a correlation analysis on the ambient temperature data and the equivalent impedance data. As a preferred embodiment, the covariance in the prior art can be used to perform a correlation analysis on the ambient temperature data and the equivalent impedance data, so as to obtain the correlation between the ambient temperature data and the equivalent impedance data, and then using the correlation between the ambient temperature data and the equivalent impedance data as the temperature impedance perturbation rate. The value range of the temperature impedance perturbation rate is between 0 and 1.

[0093] It should be noted that the temperature impedance perturbation rate in this application is an index to measure the change in the equivalent impedance caused by the ambient temperature. Through the temperature impedance perturbation rate, the influence of the ambient temperature change on the equivalent impedance change can be reflected. The larger the temperature impedance perturbation rate, the greater the influence of the ambient temperature change on the equivalent impedance.

[0094] When specifically implemented, converting the equivalent impedance data into an equivalent impedance sequence can be achieved by the following method, that is: arranging the equivalent impedances in the equivalent impedance data in sequence according to the acquisition time order, and using the arranged sequence as the equivalent impedance sequence; determining the impedance fluctuation value between two adjacent equivalent impedances through the equivalent impedance sequence can be achieved by the following method, that is: taking the absolute difference between two adjacent equivalent impedances in the equivalent impedance sequence as the impedance fluctuation value between the corresponding two equivalent impedances, so as to obtain all impedance fluctuation values.

[0095] In specific implementation, when determining the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the temperature impedance perturbation rate and all impedance fluctuation values, the following method can be adopted, that is: using the information entropy in the prior art to perform entropy feature description on all impedance fluctuation values, that is, taking the information entropy of all impedance fluctuation values as the fluctuation information entropy, and then taking the temperature impedance perturbation rate as the adjustment coefficient of the fluctuation information entropy, so as to obtain the adjusted value of the fluctuation information entropy, and then taking the adjusted value of the fluctuation information entropy as the impedance fluctuation entropy. As a preferred embodiment, the impedance fluctuation entropy can be determined by the following formula, that is: impedance fluctuation entropy = temperature impedance perturbation rate * fluctuation information entropy.

[0096] It should be noted that the impedance fluctuation entropy in this application reflects the fluctuation degree of the equivalent impedance change during the working condition switching process of the data line power supply device. By analyzing the fluctuation degree of the equivalent impedance change during the working condition switching process of the data line power supply device, it is possible to compensate for the charge fluctuation caused by the change of the equivalent impedance during the working condition switching process of the data line power supply device, thereby reducing the charge fluctuation caused by the impedance change.

[0097] In step 104, the load switching cost of the corresponding switching node is determined through each load stability margin and the impedance fluctuation entropy, and then the load compensation amount during the working condition switching process of the data line power supply device is determined according to all the load switching costs.

[0098] In some embodiments, as shown in Figure 3 This figure is a schematic flow chart for determining the load switching cost in some embodiments of this application. In this embodiment, the load switching cost of the corresponding switching node is determined through each load stability margin and the impedance fluctuation entropy, which can be implemented by the following steps:

[0099] In step 1041, select a load stability margin;

[0100] In step 1042, obtain the steady-state load power before and after the switching of the switching node corresponding to this load stability margin;

[0101] In step 1043, determine the switching load power difference through the steady-state load power before and after the switching;

[0102] In step 1044, determine the switching load difference of the corresponding switching node according to the switching load power difference and this load stability margin;

[0103] In step 1045, adjust the switching load difference through the impedance fluctuation entropy to obtain the adjusted value of the switching load, and take the adjusted value of the switching load as the load switching cost of the switching node corresponding to this load stability margin;

[0104] In step 1046, repeat the above steps to obtain the load switching cost corresponding to the switching node of the remaining load stability margin.

[0105] When specifically implemented, the steady-state load power before and after the switching of the switching node corresponding to the load stability margin can be obtained in the following manner: obtain the switching node corresponding to the load stability margin, use the steady-state load power of the switching node before switching as the pre-steady-state load, and use the steady-state load power of the switching node after switching as the post-steady-state load. Then, use the pre-steady-state load and the post-steady-state load as the steady-state load power before and after switching; determining the switching load power difference through the steady-state load power before and after switching can be implemented in the following manner: the difference between the post-steady-state load after switching and the pre-steady-state load before switching can be used as the switching load power difference.

[0106] When specifically implemented, adjusting the switching load difference through the impedance fluctuation entropy to obtain the switching load adjustment value can be implemented in the following manner: the natural logarithm of the reciprocal of the impedance fluctuation entropy can be used as the adjustment coefficient of the switching load difference, and the product of the adjustment coefficient and the switching load power difference can be used as the switching load adjustment value. As a preferred embodiment, the switching load adjustment value can be determined by the following formula: switching load adjustment value = adjustment coefficient * switching load power difference.

[0107] It should be noted that in this application, the load switching cost is an index to measure the change in system performance caused by load switching in a data line power supply device. The load switching cost provides an important basis for optimizing the load switching strategy and improving system stability and economy by quantifying the impact on system stability, efficiency, and resource consumption during the load switching process.

[0108] In some embodiments, determining the load compensation amount during the operating condition switching process of the data line power supply device according to all the load switching costs can be implemented by the following steps:

[0109] Determine the switching cost dispersion according to all the load switching costs;

[0110] Determine the average cost of all the load switching costs;

[0111] Compensate the average cost through the switching cost dispersion to obtain the load compensation amount during the operating condition switching process of the data line power supply device.

[0112] It should be noted that the switching cost dispersion in this application is an index for measuring the uncertainty of the load switching cost. Through the switching cost dispersion, the uncertainty of the switching cost of the data line power supply device during the working condition switching process can be reflected. The larger the switching cost dispersion, the higher the uncertainty of the switching cost of the data line power supply device during the working condition switching process. When the switching cost dispersion exceeds the preset safety threshold, it indicates that there is serious transient voltage suppression during the working condition switching process of the data line power supply device, and it is necessary to stop the machine for maintenance. As a preferred embodiment, the switching cost dispersion can be determined according to all the load switching costs in the following manner, that is: the entropy characteristics of all the load switching costs can be described, that is, the information entropy of all the load switching costs can be used as the switching cost dispersion. In other embodiments, other entropies can also be used to describe the entropy characteristics of all the load switching costs, which are not limited here.

[0113] When specifically implemented, the average cost of all the load switching costs can be determined in the following manner, that is: the average value of all the load switching costs can be used as the average cost; compensating the average cost through the switching cost dispersion to obtain the load compensation amount during the working condition switching process of the data line power supply device can be implemented in the following manner, that is: the natural logarithm of the reciprocal of the switching cost dispersion can be used as the compensation coefficient, and the product of the compensation coefficient and the average cost can be used as the load compensation amount.

[0114] It should be noted that the load compensation amount in this application refers to the additional power required to adjust the load power of the switching node during the working condition switching process of the data line power supply device in order to maintain the stable operation of the power supply system. Its main purpose is to balance the load change, reduce the system fluctuation, and ensure the power supply quality.

[0115] In step 105, the load power of the switching node in the data line power supply device is compensated based on the load compensation amount.

[0116] In some embodiments, compensating the load power of the switching node in the data line power supply device based on the load compensation amount can be implemented in the following steps:

[0117] Initialize a load compensation model;

[0118] Use the load compensation amount as the compensation parameter of the load compensation model;

[0119] Use the load power before the switching node as the initialization parameter of the load compensation model;

[0120] Use the load compensation model to compensate the load power of the switching node in the data line power supply device.

[0121] In specific implementation, compensating the load power of the switching node in the data line power supply device by using the load compensation model can be achieved in the following manner, that is: the output result of the load compensation model can be used as the load power after compensation of the switching node, thereby completing the process of compensating the load power of the switching node.

[0122] On the other hand, in some embodiments, the present application provides a data line power supply system, which includes a control unit. Refer to Figure 4 , which is a schematic diagram of the exemplary hardware and / or software of the control unit shown in some embodiments of the present application. The control unit 400 includes: an acquisition module 401, a processing module 402, and an execution module 403, which are described as follows:

[0123] The acquisition module 401. In the present application, the acquisition module 401 is mainly used to collect the load power when the data line power supply device is working, so as to obtain historical load data;

[0124] The processing module 402. In the present application, the processing module 402 is used to determine the switching node during the working condition switching process of the data line power supply device, and then determine the load stability margin of each switching node according to the historical load data;

[0125] In the present application, the processing module 402 is further used to obtain the equivalent impedance data when the working condition of the data line power supply device is switched, and determine the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data;

[0126] In the present application, the processing module 402 is further used to determine the load switching cost of the corresponding switching node through each load stability margin and the impedance fluctuation entropy, and then determine the load compensation amount during the working condition switching process of the data line power supply device according to all the load switching costs;

[0127] The execution module 403. In the present application, the execution module 403 is mainly used to compensate the load power of the switching node in the data line power supply device based on the load compensation amount.

[0128] In addition, the present application also provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the control method of the above-mentioned data line power supply system.

[0129] In some embodiments, refer to Figure 5 , which is a schematic structural diagram of a computer device for implementing the control method of the data line power supply system shown in some embodiments of the present application. The control method of the data line power supply system in the above embodiments can be passed through Figure 5It is implemented by the computer device shown. The computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0130] The processor 501 can be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0131] The communication bus 502 can be used to transfer information between the above components.

[0132] The memory 503 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM), or other types of dynamic storage devices that can store information and instructions. It can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disks, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to this. The memory 503 can exist independently and be connected to the processor 501 through the communication bus 502. The memory 503 can also be integrated with the processor 501.

[0133] Among them, the memory 503 is used to store the program code for executing the solution of this application and is controlled by the processor 501 for execution. The processor 501 is used to execute the program code stored in the memory 503. The program code can include one or more software modules. The control method of the data line power supply system in the above embodiments can be implemented by one or more software modules in the program code in the processor 501 and the memory 503.

[0134] The communication interface 504, using any device such as a transceiver, is used to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0135] In a specific implementation, as an example, a computer device may include multiple processors, and each of these processors may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0136] The above computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a laptop, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of the present application do not limit the type of the computer device.

[0137] In addition, the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, it implements the control method of the data line power supply system described above.

[0138] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0139] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these changes and modifications.

Claims

1. A control method for a data line power supply system, characterized in that: The steps include: Collect the load power of the data line power supply equipment when it is working, and then obtain the historical load data; Determine a switching node in a process of switching the working condition of the data line power supply device, and then determine a load stability margin of each switching node according to the historical load data; Acquire equivalent impedance data when the working condition of the data line power supply device is switched, and determine the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data; Determine the load switching cost of the corresponding switching node by using each load stability margin and the impedance fluctuation entropy, and then determine the load compensation amount during the data line power supply device working condition switching process according to all load switching costs; Compensating the load power of the switching node in the data line power supply device based on the load compensation amount; Wherein, determining the load stability margin of each switching node according to the historical load data specifically includes: Extracting the switching load data of each switching node from the historical load data; Determining the load stability margin of the corresponding switching node through each switching load data specifically includes: selecting a switching load data; determining the interval range of the switching load data; determining the load dispersion of the switching node corresponding to the switching load data; determining the load variability of the switching node corresponding to the switching load data; determining the load stability margin of the switching node corresponding to the switching load data according to the interval range, the load dispersion and the load variability; repeating the above steps to obtain the load stability margin of the switching node corresponding to the remaining switching load data; Wherein, determining the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data specifically includes: Obtain the ambient temperature data when the working condition of the data line power supply equipment is switched; Determine the temperature impedance disturbance rate through the ambient temperature data and the equivalent impedance data; Converting the equivalent impedance data into an equivalent impedance sequence; Determine the impedance fluctuation value between two adjacent equivalent impedances through the equivalent impedance sequence; Determining the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the temperature impedance disturbance rate and all impedance fluctuation values, specifically including: taking the information entropy of all impedance fluctuation values ​​as the fluctuation information entropy, taking the temperature impedance disturbance rate as the adjustment coefficient of the fluctuation information entropy, adjusting the fluctuation information entropy by the adjustment coefficient, and then taking the adjusted fluctuation information entropy as the impedance fluctuation entropy; The method of determining the load switching cost of the corresponding switching node by using each load stability margin and the impedance fluctuation entropy specifically includes: Select a load stability margin; Obtain the steady-state load power before and after the switching node corresponding to the load stability margin is switched; Determine the switching load power difference by the steady-state load power before and after the switching; Determining a switching load difference of a corresponding switching node according to the switching load power difference and the load stability margin; The switching load difference is adjusted by the impedance fluctuation entropy to obtain a switching load adjustment value, and the switching load adjustment value is used as the load switching cost of the switching node corresponding to the load stability margin, wherein the switching load difference is adjusted by the impedance fluctuation entropy to obtain the switching load adjustment value specifically includes: using the natural logarithm of the reciprocal of the impedance fluctuation entropy as the adjustment coefficient of the switching load difference, and then using the product of the adjustment coefficient and the switching load difference as the switching load adjustment value; Repeat the above steps to obtain the load switching cost of the switching node corresponding to the remaining load stability margin; Among them, determining the load compensation amount during the data line power supply device working condition switching process according to all load switching costs specifically includes: Determine the switching cost dispersion according to all load switching costs; Determine the average cost of all load switching costs; The average cost is compensated by the switching cost discreteness to obtain the load compensation amount during the data line power supply equipment working condition switching process, specifically including: taking the natural logarithm of the reciprocal of the switching cost discreteness as the compensation coefficient, and taking the product of the compensation coefficient and the average cost as the load compensation amount.

2. The method according to claim 1, characterized in that Determining the switching node during the data line power supply device working condition switching process specifically includes: Collect the load of the data line power supply equipment when it is working, and then obtain the historical load data; The historical load data is detected based on a pre-trained load switching node detection model to obtain a switching node during the working condition switching process of the data line power supply device.

3. The method according to claim 1, characterized in that Compensating the load power of the switching node in the data line power supply device based on the load compensation amount specifically includes: Initialize a load compensation model; Using the load compensation amount as a compensation parameter of a load compensation model; The load power before the switching node is used as the initialization parameter of the load compensation model; The load compensation model is used to compensate the load power of the switching node in the data line power supply device.

4. A data line power supply system, which is controlled by the method according to any one of claims 1 to 3, the system comprising a control unit, characterized in that: The control unit comprises: An acquisition module is used to collect the load power of the data line power supply equipment when it is working, and then obtain historical load data; A processing module, used to determine the switching nodes in the process of switching the working conditions of the data line power supply equipment, and then determine the load stability margin of each switching node according to the historical load data; The processing module is further used to obtain equivalent impedance data when the working condition of the data line power supply device is switched, and determine the impedance fluctuation entropy caused by the equivalent impedance when the load of the data line power supply device changes according to the equivalent impedance data; The processing module is further used to determine the load switching cost of the corresponding switching node through each load stability margin and the impedance fluctuation entropy, and then determine the load compensation amount during the data line power supply device working condition switching process according to all load switching costs; An execution module is used to compensate the load power of the switching node in the data line power supply device based on the load compensation amount.

5. A computer device, comprising a memory and a processor, wherein the memory stores a code, characterized in that: The processor is configured to obtain the code and execute the control method of the data line power supply system according to any one of claims 1 to 3.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the control method of the data line power supply system according to any one of claims 1 to 3 is implemented.

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