CN116647418B - Power supply system of Ethernet power supply and control method thereof - Google Patents
Power supply system of Ethernet power supply and control method thereof Download PDFInfo
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Abstract
The application provides a power supply system of an Ethernet power supply and a control method thereof, wherein historical power data of each device in the power supply system of the Ethernet power supply is collected, a power data smoothing matrix is obtained according to the historical power data, a power data bias collection is obtained according to the power data smoothing matrix, a power data slave coefficient of each device is determined by the power data bias collection, a power sequence is obtained through the power data slave coefficient of each device, when the power supply system of the Ethernet power supply is normal in power, standby processing is carried out on each device according to the power data slave coefficient of each device, when the power supply system of the Ethernet power supply exceeds a set threshold value, power supply regulation and control are carried out on each device according to the power sequence, and early warning is sent to a control center.
Description
Technical Field
The application relates to the technical field of power over Ethernet (Ethernet) power supplies, in particular to a power supply system of the power over Ethernet power supply and a control method thereof.
Background
Power over ethernet (Power over Ethernet, POE) is a technology that allows data to be transmitted over ethernet cables while providing power to connected devices. Traditionally, ethernet has been used to transmit data, and power has been provided through separate power lines. POE technology simplifies the installation and wiring of network devices by transmitting power and data simultaneously over ethernet cables, it uses special POE switches or injectors to provide power while conforming to specific standards and specifications, these devices can combine power and data transmissions into a single ethernet cable, and then separate them at the target device, and the power supply system for POE power can be applied to various network devices, such as network cameras, wireless access points, network switches, etc.
Although the power supply system of POE power source has been incorporated into various areas of life, there are still many potential drawbacks, such as: power supply capacity limitations, power maldistribution, long-range transmission limitations, etc. In some cases, when multiple devices are connected to the same POE switch or injector, a problem of power maldistribution may occur, some devices may occupy more power supply capacity, and other devices may not obtain enough power, which may cause some devices to fail to operate or power starve. Therefore, how to solve the problem that the power supply system of the POE power supply meets different power supply requirements of each device in different power states is a problem faced by the industry.
Disclosure of Invention
The application provides a power supply system of an Ethernet power supply and a control method thereof, which are used for solving the problem that the power supply system of the Ethernet cannot meet different power supply requirements of different devices under different power states in the prior art.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present application provides a method for controlling a power over ethernet power supply, including the following steps:
collecting historical power data of each device in a power supply system of an Ethernet power supply;
obtaining a power data bias matrix from the historical power data, and calculating a bias characteristic value according to the power data bias matrix to obtain a power data smoothing matrix;
obtaining a power data bias set of each device according to the power data smoothing matrix, determining a power data slave coefficient of each device according to the power data bias set of each device, and obtaining a power sequence through the power data slave coefficient of each device;
when the power of the power supply system of the power supply over Ethernet exceeds a set threshold, the power supply of each device is regulated and controlled according to the power sequence, and an early warning is sent to a control center.
In some embodiments, determining the power data slave coefficients for the respective devices specifically includes:
determining the power data bias limit of each device by the power data bias set of each device, and further obtaining the power data bias domain of each device;
and determining the power data slave coefficients of the devices by the power data bias heavy domain of the devices.
In some embodiments, the power data bias limits for the various devices may be determined using the following equation:
wherein,indicate->Group history power data->The power down bias limits of the high bias domain of the individual devices,indicate->Group history power data->Power-up bias limit for high bias domain of individual devices,/->Indicate->Group history power data->The power-down bias limit of the low bias domain of the individual device,/-for>Indicate->Group historical power dataPower-up bias limit for low bias domain of personal device,/->Indicate->Group history power data->High bias heavy set of individual devices, +.>Indicate->Group history power data->Low bias weight set of individual devices, +.>Is represented by->Group history power data->Individual section->And carrying out average processing on the equipment weight deviation interval to obtain a characteristic value.
In some embodiments, deriving the power sequence from the power data dependent coefficients of the respective devices specifically includes:
determining the power bias degree of each device through the power data slave coefficient of each device;
and obtaining a power sequence according to the power bias degree of each device.
In some embodiments, the power bias of each device is determined according to the following equation:
wherein,indicate->Power bias of individual devices, +.>Indicate->Group history power data->Left value of slave coefficient of the individual device,/>Indicate->Group history power data->Slave right value of individual device, +.>Indicate->Group history power data->Non-dependent coefficient left value of the individual device,/>Indicate->Group history power data->Non-dependent coefficient right value of individual device,/>。
In some embodiments, the standby processing for each device according to the power data slave coefficient of the device specifically includes:
when the slave coefficient of the equipment is smaller than the slave coefficient threshold value set by the user, the equipment is subjected to standby processing, and when the slave coefficient of the equipment is larger than the slave coefficient threshold value set by the user, the equipment is powered normally.
In some embodiments, the power supply regulation specifically includes:
and normally powering the equipment of which the power of the power supply system of the power over Ethernet exceeds the threshold value interval of the power sequence, carrying out standby processing on the equipment of which the power of the power supply system of the power over Ethernet is in the threshold value interval, and carrying out shutdown processing on the equipment of which the power of the power over Ethernet is smaller than the threshold value interval.
In a second aspect, the present application provides a power supply system of a power over ethernet power supply, including a power supply control unit, the power supply control unit including:
the power data acquisition module is used for acquiring historical power data of all equipment in a power supply system of the Ethernet power supply;
the power data matrix determining module is used for obtaining a power data bias matrix from the historical power data, calculating a bias characteristic value according to the power data bias matrix, and further obtaining a power data smoothing matrix;
the power sequence determining module is used for obtaining a power data bias set of each device according to the power data smoothing matrix, determining a power data slave coefficient of each device according to the power data bias set of each device, and obtaining a power sequence through the power data slave coefficient of each device;
and the power supply regulation and control module of the power supply of the Ethernet is used for carrying out standby processing on each device according to the power data slave coefficient of the device when the power supply system of the power supply of the Ethernet is normal, carrying out power supply regulation and control on each device according to the power sequence when the power supply system of the power supply of the Ethernet exceeds a set threshold value, and sending an early warning to a control center.
In a third aspect, the present application provides a computer device, the computer device including a memory storing code and a processor configured to obtain the code and execute the method of controlling a power over ethernet power supply described above.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the above-described method of controlling a power over ethernet power source.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
according to the power supply system for the Ethernet power supply and the control method thereof, historical power data of all devices in the power supply system of the Ethernet power supply are collected, a power data bias matrix is obtained according to the historical power data, a bias characteristic value is calculated according to the power data bias matrix, a power data smoothing matrix is further obtained, a power data bias set of all the devices is obtained according to the power data smoothing matrix, a power data slave coefficient of all the devices is determined according to the power data bias set of all the devices, a power sequence is obtained through the power data slave coefficient of all the devices, standby processing is carried out on the devices according to the power data slave coefficient of all the devices when the power supply system of the Ethernet power supply is normal, when the power of the power supply system of the Ethernet power supply exceeds a set threshold value, power supply regulation is carried out on all the devices according to the power sequence, and the power is sent to a control center.
Drawings
FIG. 1 is an exemplary flow chart of a method of controlling a power over Ethernet power supply according to some embodiments of the application;
FIG. 2 is a schematic diagram of exemplary hardware and/or software of a power control unit shown according to some embodiments of the application;
fig. 3 is an exemplary architecture diagram of a computer device implementing a method of controlling a power over ethernet power source according to some embodiments of the present application.
Detailed Description
The method comprises the steps of acquiring historical power data of each device in a power supply system of an Ethernet power supply, obtaining a power data bias matrix according to the historical power data, calculating bias characteristic values according to the power data bias matrix, further obtaining a power data smoothing matrix, obtaining a power data bias set of each device according to the power data smoothing matrix, determining power data slave coefficients of each device according to the power data bias set of each device, obtaining a power sequence through the power data slave coefficients of each device, carrying out standby processing on each device according to the power data slave coefficients of each device when the power supply system of the Ethernet power supply is normal, carrying out power supply regulation and control on each device according to the power sequence when the power supply system of the Ethernet power supply exceeds a set threshold value, and sending early warning to a control center, so that the problem that the Ethernet power supply meets different power supply requirements of each device in different power states is solved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of a method of controlling a power over ethernet power according to some embodiments of the present application, a method 100 for controlling a power over ethernet power mainly includes the following steps:
in step 101, historical power data for each device in a power over ethernet power sourcing system is collected.
In specific implementation, equipment in a power supply system of the Ethernet power supply is ensured to be connected and normally run; the power data for each power over ethernet device is collected using appropriate monitoring tools or software that can communicate with the device via a simple network management protocol (Simple Network Management Protocol, SNMP) or other management interface and obtain real-time or periodically updated power data.
In some embodiments, it is also desirable to pre-select the historical power data.
In concrete implementation, the historical power data are placed in the same folder according to the same date, tools such as a database and the like can be used for classifying, a historical power data set is created for the historical power data of the same date, all the historical power data in the date are added into the historical power data set, and data structures such as a list, an array and the like can be used for storing the data sets for later use; for each historical power data set, dividing it into a plurality of time periods per hour; storing the power value of each time period in a new data set, repeating the steps until all the historical power data sets are divided according to the preset data size, and selecting one set of historical power data as the object of the study.
In step 102, a power data bias matrix is obtained according to the historical power data, and a bias eigenvalue is calculated according to the power data bias matrix to obtain a power data smoothing matrix.
In some embodiments, the obtaining the power data bias matrix according to the historical power data may be implemented by:
acquiring information of each device in the power over Ethernet system to obtain a device set；
Determining weight ratios corresponding to all devices in the power over Ethernet system to obtain a weight setWherein->；
Determining historical power data corresponding to each device in the power over ethernet system to obtain a historical power data set；
Segmenting time of historical power data corresponding to each device in the power over Ethernet system to obtain a time segment set；
Determining a power data bias matrix from the set of devices, the set of weights, the set of historical power data, and the set of time segments, wherein the power data bias matrix may be determined using the following formula:
wherein,representing a power data bias matrix,/->Representing the time zone set->For historical power setDevice->Given bias interval, +.>Representing the number of historical power data sets,/->Representing the number of segments>Indicating the number of devices->Indicates the left end point of the weight bias interval, < >>Indicating the right end point of the bias interval.
In specific implementation, each device in the Ethernet power supply system is obtained to form a device set, and the weight ratio of each device is determined to form a weight set; according to each device, acquiring historical power data corresponding to each device in the historical power data to form a historical power data set; according to time segmentation, time is measured once in every ten minutes and divided into six times to form a time section set; and converting the device set, the weight set, the historical power data set and the time section set into a bias interval, and constructing a power data bias matrix according to the bias interval, wherein the power data bias matrix is a two-dimensional table, and the rows represent the time sections and the columns represent the devices.
It should be noted that, in the present application, the bias interval may be obtained by using linear transformation, fuzzy evaluation, etc. in the prior art, which is not described herein.
Additionally, in some embodiments, the calculated bias eigenvalues may be determined using the following formula:
wherein,is represented by->Group history power data->Individual section->Bias characteristic value of bias interval of individual devices, < ->Represents the maximum value of the bias interval, +.>Minimum value representing bias interval, +.>Indicate->Group history power data->Individual section->Left end point of the unbalanced zone of the individual devices, +.>Indicate->Group history power data->Individual section->The right end point of the equipment weight segment.
In some embodiments, the power data smoothing matrix may be obtained according to the bias eigenvalue obtained by the above processing, and in the specific application, the power data smoothing matrix may be expressed as follows:
in step 103, according to the power data smoothing matrix, a power data bias heavy set of each device is obtained, the power data slave coefficient of each device is determined by the power data bias heavy set of each device, and a power sequence is obtained through the power data slave coefficient of each device.
In specific implementation, according to the power data smoothing matrix, obtaining the power data bias heavy set of each device can be realized by adopting the following steps:
classifying and dividing the power data smoothing matrix according to the end points and the neutral values of the bias interval to obtain a power data bias set of each device;
the bias heavy set of each device is divided into a high bias heavy set, a low bias heavy set and a medium bias heavy set.
Wherein the high bias heavy set, the low bias heavy set and the medium bias heavy set are obtained by adopting the following formulas:
wherein,representing the +.>Neutral value of individual device->Indicate->High bias heavy set of individual devices, +.>Indicate->Low bias weight set of individual devices, +.>Indicate->The medium bias of the individual devices is collected.
It should be noted that, the neutral value of the power data smoothing matrix in the present application is the average value of the power data smoothing matrix.
The method has the advantages that the power data smoothing matrix is classified and divided according to the end points and the neutral values of the bias interval: the important areas in the power data can be highlighted by dividing the end points and neutral values of the bias intervals. Typically, the endpoints of a section represent extreme points of the data, while the neutral value represents a central trend of the data. By dividing the data into biased subsets, important parts in the power data can be focused on, key features of the data are highlighted, the power data is divided into different sets or categories, each set represents a group of data with similar features, thus helping to identify the distribution mode and structure of the data, revealing hidden information in the data, and converting a complex power data set into a simplified set of biased subsets, thus reducing the dimension and complexity of the data and simplifying the data analysis process.
In some embodiments, the determining the power data slave coefficients of the respective devices from the power data bias subsets of the respective devices may specifically be performed in the following manner:
determining the power data bias limit of each device by the power data bias set of each device, and further obtaining the power data bias domain of each device;
and determining the power data slave coefficients of the devices by the power data bias heavy domain of the devices.
In some embodiments, the power data bias limits for the individual devices are determined by the following equation:
wherein,indicate->Group history power data->The power down bias limits of the high bias domain of the individual devices,indicate->Group history power data->Power-up bias limit for high bias domain of individual devices,/->Indicate->Group history power data->The power-down bias limit of the low bias domain of the individual device,/-for>Indicate->Group historical power dataPower-up bias limit for low bias domain of personal device,/->Indicate->Group history power data->High bias heavy set of individual devices, +.>Indicate->Group history power data->Low bias weight set of individual devices, +.>Is represented by->Group history power data->Individual section->And carrying out average processing on the equipment weight deviation interval to obtain a characteristic value.
In the present application, the upper power bias limit of the high bias domainAnd the power-down bias limit of the high bias domain +.>Upper power bias limit of the low bias domain +.>And the lower bias limit of the low bias domain +.>The section of the structure->And->Respectively referred to as a high bias domain and a low bias domain.
In some embodiments, to process the bias-heavy domain, the following linear correlation model is constructed:
wherein,indicate->Group history power data->Left value of slave coefficient of the individual device,/>Indicate->Group history power data->Slave right value of individual device, +.>Indicate->Group history power data->Non-dependent coefficient left value of the individual device,/>Indicate->Group history power data->The non-dependent coefficient right value for the individual device.
In the present application, the following will be described in detailThe left value of the slave coefficient and the right value of the slave coefficient, the left value of the non-slave coefficient and the right value of the non-slave coefficientAnd->The slave coefficients and the non-slave coefficients of the respective devices are respectively.
The method for processing the bias domain and constructing the linear correlation model has the advantages that: constructing a linear correlation model can help analyze and understand the relationship between variables in the bias domain; the linear correlation model may reveal linear correlations between variables and provide quantitative information about these relationships, which helps to discover interdependencies, causal relationships, or other correlations between variables, thereby providing a deep understanding of data in the bias domain; the linear correlation model may be used for prediction and predictive interpretation, and by constructing a linear correlation model for variables in the bias domain, the model may be used to predict the value of one variable, based on the values of other variables, which may aid in predictive analysis and future trend prediction; in addition, the linear correlation model also provides an explanation about the degree of influence of the variable on the target variable, thereby increasing the interpretation of the predicted result; the construction of the linear correlation model can help to perform feature selection and variable screening, and the variables with larger contribution to the target variables can be determined by analyzing the coefficients or importance indexes of the linear correlation model, so that the complexity of the model is reduced, the interpretation and generalization capability of the model are improved, and the variables with smaller or irrelevant influence on the result are eliminated.
In some embodiments, the power sequence obtained by the power data slave coefficients of the respective devices may specifically be the following manner:
determining the power bias degree of each device through the power data slave coefficient of each device;
and obtaining a power sequence according to the power bias degree of each device.
In some embodiments, the power bias can be determined according to the following equation:
wherein,indicate->Power bias of individual devices, +.>Indicate->Group history power data->Left value of slave coefficient of the individual device,/>Indicate->Group history power data->Slave right value of individual device, +.>Indicate->Group history power data->Non-dependent coefficient left value of the individual device,/>Indicate->Group history power data->Non-dependent coefficient right value of individual device,/>。
In particular, the power sequence is a sequence obtained by sequentially arranging the power sequences according to the magnitude of the weight deviation value, and the power sequence has the following advantages that: by ranking the weights by the magnitude of the weight value, the priority of the power usage can be determined, with higher weight values indicating that the power usage has a greater impact on the system or goal, so ranking these power uses ahead can ensure that important requirements are met, such ranking facilitating resource allocation and decision making, ensuring that critical power usage is adequately supported; ordering power usage according to the severity values may help with resource management, higher severity power usage may require more resource allocation and support, and lower severity power usage may reduce resource investment; by sequencing according to the severity values, resources can be reasonably allocated and managed, the resource utilization efficiency is improved, and the sequencing of the power use sequences provides support for decision making; different strategies and measures can be formulated for different power uses, depending on the magnitude of the bias power values, higher bias power uses may require more aggressive control and regulation measures, while lower bias power uses can be handled more flexibly.
In step 104, when the power supply system power of the ethernet power supply is normal, the equipment is standby processed according to the power data slave coefficient of each equipment, and when the power supply system power of the ethernet power supply exceeds a set threshold, the power supply regulation and control are performed on each equipment according to the power sequence, and an early warning is sent to the control center.
In some embodiments, the standby processing of each device according to its power data slave coefficient may be implemented by the following steps:
when the slave coefficient of the equipment is smaller than the slave coefficient threshold value set by the user, carrying out standby processing on the equipment;
and when the slave coefficient of the equipment is larger than the slave coefficient threshold value set by the user, normally powering the equipment.
In some embodiments, the power supply regulation specifically includes:
and normally powering the equipment of which the power of the power supply system of the power over Ethernet exceeds the threshold value interval of the power sequence, carrying out standby processing on the equipment of which the power of the power supply system of the power over Ethernet is in the threshold value interval, and carrying out shutdown processing on the equipment of which the power of the power over Ethernet is smaller than the threshold value interval.
In specific implementation, the power level of the power supply system of the power over ethernet is monitored periodically, real-time monitoring can be performed through a power monitoring device or a sensor, a threshold is set as the power limit of the power supply system of the power over ethernet, when the power exceeds the threshold, power supply regulation and control are required to be performed on the device, a slave coefficient threshold is set for judging whether the device performs standby processing or not, and the power supply regulation and control are performed on the device according to the power and the slave coefficient.
In particular, the following processes may be performed according to the comparison of the power and slave coefficients of the device with the threshold value: when the power is normal, if the slave coefficient of the equipment is smaller than the slave coefficient threshold value set by the user, the equipment is subjected to standby processing, so that the power consumption of the equipment is reduced, but the equipment is kept in a standby state so as to be started at any time; if the slave coefficient of the equipment is larger than the slave coefficient threshold value set by the user, the equipment is normally powered, and normal operation of the equipment is ensured.
When the power exceeds a set threshold value section, dividing a power sequence into threshold value sections, and normally supplying power to equipment exceeding the threshold value section of the power sequence to ensure normal operation of the equipment; the equipment in the power sequence threshold interval is subjected to standby processing so as to be started at any time; and performing shutdown processing on the equipment below the power sequence threshold interval so as to save power consumption.
It should be noted that, in the application, the power of the power supply system of the power supply of the ethernet is continuously monitored, and is adjusted according to the real-time power condition and the state of the equipment, if the power is reduced to be lower than the set threshold value, the equipment in the standby state can be restarted, so as to ensure the running stability of the system.
By dividing the detailed steps, the flow of power supply regulation and control of the equipment according to the power and the slave coefficient can be realized, and the regulation and control strategy can flexibly control the power supply state of the equipment according to the importance degree of the equipment and the system power condition so as to improve the energy utilization efficiency and the system performance.
In addition, in another aspect of the present application, in some embodiments, the present application provides a power supply system of a power over ethernet power supply, including a power supply control unit, referring to fig. 2, which is a schematic diagram of exemplary hardware and/or software of the power supply control unit according to some embodiments of the present application, a power supply control unit 200 of the present embodiment includes: the power data acquisition module 201, the power data matrix determination module 202, the power sequence determination module 203, and the power over ethernet power sourcing control module 204 are respectively described as follows:
the power data acquisition module 201 is mainly used for acquiring historical power data of all devices in a power supply system of the Ethernet power supply;
the power data matrix determining module 202 in the present application, the power data matrix determining module 202 is mainly used for obtaining a power data bias matrix from the historical power data, calculating a bias eigenvalue according to the power data bias matrix, and further obtaining a power data smoothing matrix;
the power sequence determining module 203, in the present application, the power sequence determining module 203 is mainly configured to obtain a power data bias set of each device according to the power data smoothing matrix, determine a power data slave coefficient of each device according to the power data bias set of each device, and obtain a power sequence through the power data slave coefficient of each device;
the power supply regulation and control module 204 of the power supply over ethernet (power over ethernet) is mainly used for carrying out standby processing on each device according to the power data slave coefficient of the device when the power supply system of the power supply over ethernet is normal, carrying out power supply regulation and control on each device according to the power sequence when the power supply system of the power supply over ethernet exceeds a set threshold value, and sending an early warning to a control center.
In addition, the application also provides a computer device, which comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to acquire the codes and execute the control method of the power over Ethernet.
In some embodiments, reference is made to fig. 3, which is a schematic structural diagram of a computer device implementing a method for controlling a power over ethernet power source according to some embodiments of the present application. The method for controlling the power over ethernet in the above embodiments may be implemented by a computer device shown in fig. 3, where the computer device 300 includes at least one processor 301, a communication bus 302, a memory 303, and at least one communication interface 304.
The processor 301 may be a general purpose central processing unit (central processing unit, CPU), application-specific integrated circuit (ASIC), or execution of one or more control methods for controlling the power over ethernet in the present application.
Communication bus 302 may include a path to transfer information between the above components.
The Memory 303 may be, but is not limited to, a read-only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (random access Memory, RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only Memory (electrically erasable programmable read-only Memory, EEPROM), a compact disc (compact disc read-only Memory) or other optical disk storage, a compact disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), a magnetic disk or other magnetic storage device, 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 that can be accessed by a computer. The memory 303 may be stand alone and be coupled to the processor 301 via the communication bus 302. Memory 303 may also be integrated with processor 301.
The memory 303 is used for storing program codes for executing the scheme of the present application, and the processor 301 controls the execution. The processor 301 is configured to execute program code stored in the memory 303. One or more software modules may be included in the program code. The method of controlling the power over ethernet in the above embodiments may be implemented by one or more software modules in the processor 301 and the program code in the memory 303.
Communication interface 304, using any transceiver-like device for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
In a specific implementation, as an embodiment, a computer device may include a plurality of processors, where each of the processors may be a single-core (single-CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer device may be a general purpose computer device or a special purpose computer device. In particular implementations, the computer device may be a desktop, laptop, web server, palmtop (personal digital assistant, PDA), mobile handset, tablet, wireless terminal device, communication device, or embedded device. Embodiments of the application are not limited to the type of computer device.
In addition, the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the control method of the Ethernet power supply when being executed by a processor.
In summary, in the method for controlling the ethernet power supply provided by the embodiments of the present application, first, historical power data of each device in a power supply system of the ethernet power supply is collected, a power data bias matrix is obtained from the historical power data, further a power data bias matrix is obtained, a bias characteristic value is calculated according to the power data bias matrix, further a power data smoothing matrix is obtained, a power data bias set of each device is obtained according to the power data smoothing matrix, a power data slave coefficient of each device is determined according to the power data bias set of each device, a power sequence is obtained according to the power data slave coefficient of each device, when the power supply system of the ethernet power supply is normal, standby processing is performed on each device according to the power data slave coefficient of each device, when the power supply system of the ethernet power supply exceeds a set threshold, power regulation is performed on each device according to the power sequence, and early warning is sent to a control center, so that the problem of meeting different power supply requirements of each device in different power states of the ethernet power supply can be solved.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The control method of the power supply of the Ethernet is characterized by comprising the following steps:
collecting historical power data of each device in a power supply system of an Ethernet power supply;
obtaining a power data bias matrix from the historical power data, and calculating a bias characteristic value according to the power data bias matrix to obtain a power data smoothing matrix;
obtaining a power data bias subset of each device according to the power data smoothing matrix; determining a power data bias limit for each device from the power data bias set for each device, wherein the power data bias limit for each device is determined using the following formula:
wherein,indicate->Group history power data->The power down bias limit for the high bias domain of the individual device,/->Indicate->Group history power data->Power-up bias limit for high bias domain of individual devices,/->Indicate->Group history power data->The power-down bias limit of the low bias domain of the individual device,/-for>Indicate->Group history power data->Power-up bias limit for low bias domain of personal device,/->Indicate->Group history power data->High bias heavy set of individual devices, +.>Indicate->Group history power data->Low bias weight set of individual devices, +.>Is represented by->Group history power data->Individual section->Performing average value processing on the equipment weight bias intervals to obtain characteristic values;
obtaining the power data bias domain of each device, determining the power data slave coefficient of each device by the power data bias domain of each device, and obtaining a power sequence by the power data slave coefficient of each device;
when the power of the power supply system of the power supply over Ethernet exceeds a set threshold, the power supply of each device is regulated and controlled according to the power sequence, and an early warning is sent to a control center.
2. The method according to claim 1, wherein deriving the power sequence from the power data dependent coefficients of the respective devices comprises:
determining the power bias degree of each device through the power data slave coefficient of each device;
and obtaining a power sequence according to the power bias degree of each device.
3. The method of claim 2, wherein the power bias of each device is determined according to the following equation:
wherein,indicate->Power bias of individual devices, +.>Indicate->Group history power data->Left value of slave coefficient of the individual device,/>Indicate->Group history power data->Slave right value of individual device, +.>Indicate->Group history power data->Non-dependent coefficient left value of the individual device,/>Indicate->Group history power data->Non-dependent coefficient right value of individual device,/>。
4. The method of claim 1, wherein the standby processing of each device according to its power data dependent coefficient comprises:
when the slave coefficient of the equipment is smaller than the slave coefficient threshold value set by the user, the equipment is subjected to standby processing, and when the slave coefficient of the equipment is larger than the slave coefficient threshold value set by the user, the equipment is powered normally.
5. The method according to claim 1, characterized in that the power supply regulation comprises in particular:
and normally powering the equipment of which the power of the power supply system of the power over Ethernet exceeds the threshold value interval of the power sequence, carrying out standby processing on the equipment of which the power of the power supply system of the power over Ethernet is in the threshold value interval, and carrying out shutdown processing on the equipment of which the power of the power over Ethernet is smaller than the threshold value interval.
6. A power supply system of a power over ethernet power supply, which is controlled by the control method of claim 1, the power supply system of the power over ethernet power supply comprising a power supply control unit, characterized in that the power supply control unit comprises:
the power data acquisition module is used for acquiring historical power data of all equipment in a power supply system of the Ethernet power supply;
the power data matrix determining module is used for obtaining a power data bias matrix from the historical power data, calculating a bias characteristic value according to the power data bias matrix, and further obtaining a power data smoothing matrix;
the power sequence determining module is used for obtaining a power data bias set of each device according to the power data smoothing matrix, determining a power data slave coefficient of each device according to the power data bias set of each device, and obtaining a power sequence through the power data slave coefficient of each device;
and the power supply regulation and control module of the power supply of the Ethernet is used for carrying out standby processing on each device according to the power data slave coefficient of the device when the power supply system of the power supply of the Ethernet is normal, carrying out power supply regulation and control on each device according to the power sequence when the power supply system of the power supply of the Ethernet exceeds a set threshold value, and sending an early warning to a control center.
7. A computer device comprising a memory storing code and a processor configured to obtain the code and to perform the method of controlling a power over ethernet power supply as claimed in any one of claims 1 to 5.
8. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method of controlling a power over ethernet power supply according to any one of claims 1 to 5.
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