Power supply management method of base station and related equipment

Abstract

Embodiments of the present disclosure provide a power supply management method and device of a base station, computer equipment, a readable storage medium and a program, and relate to the technical field of computers. The method comprises: obtaining historical running power consumption data of the base station; segmenting power consumption time of the base station according to the historical running power consumption data of the base station; and calculating a power supply scheme with minimum cost according to the segmentation result of the power consumption time of the base station. The method provided by the embodiments of the present disclosure can reduce the power consumption cost of power consumption of the base station.

Description

Technical Field

[0001] This disclosure relates to the field of computer technology, and in particular to a power supply management method, apparatus, computer equipment, readable storage medium, and program for a base station. Background Technology

[0002] Currently, base station construction, as part of the new infrastructure initiative, is progressing steadily. Communication uses higher frequency bands, and individual base stations, due to the use of larger array antennas and higher bandwidth, consume significantly more energy than previous base stations. Data shows that the idle power consumption of current operator base station main equipment is approximately 2.2-2.3kW, and the full-load power consumption is approximately 3.7-3.9kW, which is about 3-4 times that of previous base stations. In mobile communication networks, base stations are major power consumers, accounting for approximately 80% of energy consumption from their widespread distribution. More densely packed base stations mean even higher energy consumption. Summary of the Invention

[0003] This disclosure provides a power supply management method, apparatus, computer equipment, readable storage medium, and program for a base station, relating to the field of computer technology. This method can reduce the power consumption cost of base stations.

[0004] This disclosure provides a power supply management method for a base station, including: acquiring historical operating power consumption data of the base station; segmenting the power consumption time of the base station according to the historical operating power consumption data; and calculating the power supply scheme with the lowest cost based on the segmentation results of the power consumption time of the base station.

[0005] In one embodiment, obtaining historical operating power consumption data of a base station includes: obtaining historical operating power consumption data of the base station within a first time period.

[0006] In one embodiment, segmenting the power consumption time of the base station based on its historical operating power consumption data includes: segmenting the power consumption time of the base station using the minimum variance segmentation method based on its historical operating power consumption data.

[0007] In one embodiment, calculating the minimum cost power supply scheme based on the segmentation results of the power consumption time of the base station includes: calculating the minimum cost power supply scheme by adopting direct power supply or battery power supply for each segment of the power consumption time of the base station.

[0008] In one embodiment, calculating the minimum cost power supply scheme by adopting direct power supply or battery power supply for each segment of the power consumption time of the base station includes: calculating the minimum cost power supply scheme by adopting direct power supply or battery power supply for each segment of the power consumption time of the base station and taking into account the direct power supply loss and battery power supply loss.

[0009] In one embodiment, the method further includes: determining the capacity of the base station power supply battery based on the battery power supply time and the corresponding average power consumption of the base station in the power supply scheme with the lowest cost.

[0010] This disclosure provides a power supply management device for a base station, comprising: an acquisition unit for acquiring historical operating power consumption data of the base station; a segmentation unit for segmenting the power consumption time of the base station according to the historical operating power consumption data; and a calculation unit for calculating the power supply scheme with the lowest cost based on the segmentation results of the power consumption time of the base station.

[0011] This disclosure provides a computer device including a processor, a memory, and an input / output interface; the processor is connected to the memory and the input / output interface respectively, wherein the input / output interface is used to receive data and output data, the memory is used to store a computer program, and the processor is used to call the computer program so that the computer device executes the method as described in any of the above method embodiments.

[0012] This disclosure provides a computer-readable storage medium storing a computer program adapted to be loaded and executed by a processor, such that a computer device having the processor performs the method as described in any of the above method embodiments.

[0013] This disclosure provides a computer program product, including a computer program that, when executed by a processor, implements the method as described in any of the above method embodiments.

[0014] The power supply management method of this application obtains historical operating power consumption data of the base station; segments the power consumption time of the base station according to the historical operating power consumption data; and calculates the power supply scheme with the lowest cost based on the segmentation result of the power consumption time of the base station, thereby reducing the power consumption cost of the base station. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A schematic diagram of an exemplary system architecture for a base station power management method to which embodiments of the present disclosure can be applied is shown; Figure 2 This is a flowchart of a power supply management method for a base station provided in an embodiment of this disclosure; Figure 3 This is a flowchart of a power supply management method for a base station provided in an embodiment of this disclosure; Figure 4 A power supply management flowchart for a base station according to an embodiment of this disclosure is shown; Figure 5 This diagram illustrates a cabinet system framework diagram of a base station according to an embodiment of the present disclosure; Figure 6 This is a schematic diagram of the structure of a power supply management device for a base station provided in an embodiment of this disclosure; Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this disclosure. Detailed Implementation

[0017] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0018] In this embodiment of the disclosure, the power consumption cost of the base station can be reduced by acquiring historical operating power consumption data of the base station; segmenting the power consumption time of the base station according to the historical operating power consumption data; and calculating the power supply scheme with the lowest cost based on the segmentation results of the power consumption time of the base station.

[0019] The following is a brief explanation of some of the terms used in this disclosure: Variance is a measure of the dispersion of a random variable or a set of data in probability theory and statistics. Variance reflects how much sample data varies around the sample mean; the smaller the variance, the closer the data is to the mean, and the less dispersed it is. Conversely, the larger the variance, the further the data is from the mean, and the greater the dispersion. The smallest variance is called the minimum variance. The minimum variance method can reflect the actual distribution of a region's data types. In practical applications, the sum of squares formula can also be used to calculate the sum of squares of the differences between the assumed percentage distribution and the actual percentage distribution for each type of data combination.

[0020] Backplanes are specialized products in the PCB manufacturing industry. They are thicker and heavier than regular PCBs, and consequently have a larger heat capacity. Because backplanes cool down more slowly, the reflow oven needs to be longer. Forced air cooling at the exit is also required to lower the backplane temperature to a safe operating level. There are relevant industry standards for rack-mount backplanes, such as "YDT 3292-2017 General Technical Requirements for Rack-Mounted Servers".

[0021] An Internet Data Center (IDC) is a facility equipped with comprehensive facilities (including high-speed internet access bandwidth, high-performance local area networks, and a secure and reliable data center environment), professional management, and a complete application service platform. Based on this platform, IDC service providers offer customers basic internet platform services (server hosting, virtual hosting, email caching, virtual mail, etc.) as well as various value-added services (site rental services, domain name system services, load balancing systems, database systems, data backup services, etc.).

[0022] The solutions provided in this disclosure involve techniques such as the minimum variance method.

[0023] Figure 1 A schematic diagram of an exemplary system architecture 100 to which the power supply management method for a base station, according to embodiments of the present disclosure, can be applied is shown.

[0024] like Figure 1 As shown, system architecture 100 may include one or more of terminals 101, 102, and 103, a network 104, and a server 105. Network 104 is the medium used to provide a communication link between terminals 101, 102, and 103 and server 105. Network 104 may include various connection types, such as wired or wireless communication links or fiber optic cables, etc.

[0025] It should be understood that Figure 1 The number of terminals, networks, and servers shown is merely illustrative. Depending on implementation needs, there can be any number of terminals, networks, and servers. For example, server 105 could be a server cluster consisting of multiple servers.

[0026] Terminals 101, 102, and 103 interact with server 105 via network 104, and can receive or send messages, etc. Terminals 101, 102, and 103 can be various electronic devices with displays, including but not limited to smartphones, tablets, laptops, and desktop computers, etc.

[0027] Server 105 can be a server that provides various services. For example, terminal 103 (or terminal 101 or 102) sends a power management instruction for the base station to server 105. Server 105 can obtain historical power consumption data of the base station; segment the power consumption time of the base station according to the historical power consumption data; and calculate the power supply scheme with the lowest cost based on the segmentation results of the power consumption time of the base station.

[0028] The terminal can be a mobile phone (such as terminal 101), a tablet computer (such as terminal 102), or a desktop computer (such as terminal 101), etc., without limitation. The terminal can display an application, which could be an application for base station power management, etc. Figure 1 The terminals mentioned are only a portion of the devices cited in this disclosure; the terminals are not limited to these. Figure 1 The equipment listed in the text.

[0029] It is understood that the terminal mentioned in the embodiments of this disclosure can be a user device, and the server in the embodiments of this disclosure includes, but is not limited to, a server or a cluster of servers. The terminal mentioned above can be an electronic device, including but not limited to mobile phones, tablets, smart voice interaction devices, smart home appliances, in-vehicle terminals, desktop computers, laptops, handheld computers, in-vehicle equipment, augmented reality / virtual reality (AR / VR) devices, head-mounted displays, smart TVs, wearable devices, smart speakers, digital cameras, webcams, and other mobile internet devices (MIDs) with network access capabilities, or terminal devices in scenarios such as trains, ships, and flights.

[0030] The servers mentioned above can be cloud servers that provide basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, vehicle-road cooperation, content delivery networks (CDN), and big data and artificial intelligence platforms. They can also be independent physical servers, or server clusters or distributed systems composed of multiple physical servers.

[0031] Optionally, the data involved in the embodiments of this disclosure may be stored in a cloud platform, or may be stored based on cloud storage technology or blockchain technology, without limitation.

[0032] In related technologies, to ensure communication reliability, base stations are typically equipped with high-energy-density lithium iron phosphate batteries that support a high number of charge-discharge cycles and have good load adjustability. Currently, in terms of base station energy efficiency management, researchers mostly focus on base station dormancy technology, aiming to reduce base station energy consumption at the source, thereby saving energy and reducing operators' electricity costs.

[0033] Figure 2 This is a flowchart illustrating a power supply management method for a base station provided in an embodiment of this disclosure. The method provided in this embodiment can be... Figure 1The embodiments may be executed in the terminal or server, or by interaction between the terminal and the server, but this disclosure is not limited thereto.

[0034] like Figure 2 As shown, the method provided in this disclosure embodiment may include the following steps.

[0035] In step S210, the historical operating power consumption data of the base station is obtained.

[0036] In this step, the terminal or server acquires the historical operating power consumption data of the base station. This historical operating power consumption data refers to the base station's electricity consumption data over a period of time (e.g., one year, one month, or one week). In one embodiment, the terminal or server acquires the historical operating power consumption data of the base station for a first time period. In other embodiments, if the historical operating power consumption data of the base station is unavailable, local segmented electricity billing data can be used as the historical operating power consumption data.

[0037] In step S220, the power consumption time of the base station is segmented according to the historical operating power consumption data of the base station.

[0038] In this step, the terminal or server segments the base station's power consumption time based on the base station's historical operating power consumption data. For example, the terminal or server calculates the base station's average power consumption per hour or minute within a day based on its historical operating power consumption data over a period of time. For instance, the hourly power consumption of the base station within a day (0-23:00) might be 3.1, 2.9, 3.3, 3.2, 3.1..., 6.1, 6.2, 4.4, 3.9, and then segments the base station's power consumption time based on the hourly power consumption. During the segmentation process, for example, the least variance partitioning method can be used to divide a 24-hour day into N segments. In other embodiments, if historical operating power consumption data for the base station is lacking, segments of local electricity consumption billing data can be used as segments for historical operating power consumption data.

[0039] In step S230, the power supply scheme with the lowest cost is calculated based on the segmentation results of the power consumption time of the base station.

[0040] In this step, the terminal or server calculates the minimum-cost power supply scheme based on the segmented results of the base station's power consumption time. In one embodiment, the minimum-cost power supply scheme is calculated by applying either direct power or battery power to each segment of the base station's power consumption time. For example, different power supply methods are applied to all segments, the power supply cost is calculated, and then all combinations of power supply costs are calculated using an iterative approach, selecting the power supply scheme with the minimum cost. In another embodiment, the minimum-cost power supply scheme is calculated by applying either direct power or battery power to each segment of the base station's power consumption time, taking into account both direct power supply losses and battery power supply losses. Since there are losses during the transportation of mains power and during the charging and discharging of the battery, the losses from both mains power and battery power must be taken into account when calculating the power supply cost to determine the minimum-cost power supply scheme.

[0041] For example, the number of segments N calculated using the least variance segmentation method is given by formula (1): Tk={[ts1,te1],[ts2,te2],…,[tsn,ten]} (1) Where tsk is the start time of the k-th segment, tek is the end time of the k-th segment, and k=1,……,n.

[0042] The formula for calculating the cost of electricity supply is (2): Cost= +

[0043] Where Ti is the length of the i-th time period, usually in hours; Pi is the average energy consumption in the i-th time period; Pri is the electricity price in the i-th time period, in kW / h; αi is the mains power loss coefficient in the i-th time period; Tj is the length of the j-th time period, usually in hours; Pj is the average energy consumption in the j-th time period, in kW / h; Prj is the electricity price in the j-th time period; βj is the battery loss coefficient in the j-th time period; subscript i indicates the time period directly using mains power; subscript j indicates the time period using battery power; using loop traversal and binary search sorting, the minimum cost scheme is selected as the power supply scheduling scheme.

[0044] Figure 2 The base station power supply management method involves acquiring historical operating power consumption data of the base station; segmenting the power consumption time of the base station based on the historical operating power consumption data; and calculating the power supply scheme with the lowest cost based on the segmentation results of the power consumption time of the base station, thereby reducing the power consumption cost of the base station.

[0045] Figure 3This is a flowchart illustrating a power supply management method for a base station provided in an embodiment of this disclosure. The method provided in this embodiment can be... Figure 1 Executed in the terminal or server in the embodiments.

[0046] like Figure 3 As shown, the method provided in this disclosure embodiment may include the following steps.

[0047] In step S310, the capacity of the base station power supply battery is determined based on the battery power supply time and the corresponding average power consumption of the base station in the power supply scheme with the lowest cost.

[0048] In this step, the terminal or server determines the capacity of the base station power supply battery based on the battery power supply time in the lowest cost power supply scheme and the corresponding average power consumption of the base station.

[0049] In one embodiment, the capacity of the base station power supply battery can be determined according to formula (3): Battery capacity C = MAX (power supply duration) Average energy consumption over time period Redundancy coefficient (3) In formula (3), the battery capacity C is the maximum value of the product of the duration of the battery power supply period and the average energy consumption of the period (i.e. the period with the highest power consumption), and then multiplied by the redundancy coefficient, where the redundancy coefficient is greater than 1.

[0050] Figure 3 The base station power supply management method determines the capacity of the base station power supply battery by determining the battery power supply time and the corresponding average power consumption of the base station in the power supply scheme with the lowest cost, which can ensure the power supply of the battery to the base station.

[0051] The power supply management method for the base station disclosed herein will be explained below with specific examples: Figure 4 A power supply management flowchart for a base station according to an embodiment of this disclosure is shown.

[0052] refer to Figure 4 In step 410, historical operating power consumption data is obtained; In step 420, it is determined whether historical operational data exists; In step 430, when historical operational data is unavailable, the mains power segmentation billing is used as the base station power consumption time segmentation method. In step 440, when historical operating data exists, the power consumption time segment of the base station is calculated based on the historical operating power consumption data using the minimum variance segmentation method.

[0053] For example, the number of segments N calculated using the least variance segmentation method is given by formula (1): Tk={[ts1,te1],[ts2,te2],…,[tsn,ten]} (1) Where tsk is the start time of the k-th segment, tek is the end time of the k-th segment, and k=1,……,n.

[0054] For example, dividing the data by each hour, or the average power consumption per hour within a historical operating period T: Pi={3.1, 2.9, 3.3, 3.2, 3.1..., 6.1, 6.2, 4.4, 3.9} Where i = 0, 1, 2, 3, ..., 23; The average power consumption can be rounded to an integer, and then the least variance segmentation method (a total of 24 integers) can be used to obtain a segmented model of the historical average power consumption, such as the 5 segments shown in the rightmost column of Table 1.

[0055] Table 1:

[0056] In step 450, the minimum cost power supply scheme is calculated by iterating through the power consumption time segments of the base station and sorting by binary search.

[0057] The formula for calculating the cost of electricity supply is (2): Cost= +

[0058] Where Ti is the length of the i-th time period, usually in hours; Pi is the average energy consumption in the i-th time period, in kW / h; Pri is the electricity price in the i-th time period; αi is the mains power loss coefficient in the i-th time period; Tj is the length of the j-th time period, usually in hours; Pj is the average energy consumption in the j-th time period, in kW / h; Prj is the electricity price in the j-th time period; βj is the battery loss coefficient in the j-th time period; subscript i indicates the time period directly using mains power; subscript j indicates the time period using battery power; using loop traversal and binary search sorting, the minimum cost scheme is selected as the power supply scheduling scheme.

[0059] For example, in the five segments in Table 1, after calculating the optimal scheduling strategy for overall cost, time periods 2 and 4 use battery power, and the electricity price for charging is used instead of the peak electricity price.

[0060] In step 460, the capacity of the power supply battery is calculated based on the battery power supply time, the corresponding average power consumption of the base station, and the redundancy factor. The capacity of the base station power supply battery can be determined according to formula (3): Battery capacity C = MAX (power supply duration) Average energy consumption over time period Redundancy coefficient (3) In formula (3), the battery capacity C is the maximum value of the product of the duration of the battery power supply period and the average energy consumption of the period (i.e. the period with the highest power consumption), and then multiplied by the redundancy coefficient, where the redundancy coefficient is greater than 1.

[0061] Figure 5 A cabinet system framework diagram of a base station according to an embodiment of the present disclosure is shown.

[0062] refer to Figure 5 The base station's cabinet adopts a standard IDC cabinet, and the system mainly includes: The top section (510) of the rack houses the base stations and related equipment; the middle section (530) contains the rack management module and external AC power access module. The lower section (540) is the lithium battery pack area, supporting plug-and-play battery maintenance and expansion. The back of the rack uses a bus connection structure, transmitting DC power to the power input module of the base station equipment via a 48V copper busbar. The intelligent charging and discharging strategy is executed and optimized through the backplane of the entire rack system and the Rack Managed Center (RMC).

[0063] Figure 6 This is a schematic diagram of the power supply management device for a base station provided in an embodiment of this disclosure.

[0064] like Figure 6 As shown, the power supply management device 600 for a base station provided in this embodiment may include: The acquisition unit 610 is used to acquire historical operating power consumption data of the base station; Segmentation unit 620 is used to segment the power consumption time of the base station according to the historical operating power consumption data of the base station; The calculation unit 630 is used to calculate the power supply scheme with the lowest cost based on the segmentation results of the power consumption time of the base station.

[0065] Figure 6 The power supply management device for the base station acquires historical operating power consumption data of the base station through an acquisition unit; a segmentation unit segments the power consumption time of the base station according to the historical operating power consumption data; and a calculation unit calculates the power supply scheme with the lowest cost based on the segmentation results of the power consumption time of the base station, thereby reducing the power consumption cost of the base station.

[0066] In one embodiment, the acquisition unit 610 is further configured to acquire historical operating power consumption data of the base station within a first time period.

[0067] In one embodiment, the segmentation unit 620 is further configured to segment the power consumption time of the base station according to the historical operating power consumption data of the base station using the minimum variance segmentation method.

[0068] In one embodiment, the computing unit 630 is further configured to calculate the minimum cost power supply scheme by adopting direct power supply or battery power supply for each segment of the power consumption time of the base station.

[0069] In one embodiment, the computing unit 630 is further configured to calculate the minimum cost power supply scheme by taking direct power supply or battery power supply for each segment of the power consumption time of the base station and taking into account the direct power supply loss and battery power supply loss.

[0070] In one embodiment, the apparatus further includes a battery capacity determination unit for determining the capacity of the base station power supply battery based on the battery power supply time in the lowest-cost power supply scheme and the corresponding average power consumption of the base station.

[0071] See Figure 7 , Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this disclosure.

[0072] like Figure 7 As shown, the computer device in this embodiment may include one or more processors 701, a memory 702, and an input / output interface 703. The processor 701, memory 702, and input / output interface 703 are connected via a bus 704. The memory 702 stores a computer program, which includes program instructions. The input / output interface 703 receives and outputs data, such as for data interaction between the host machine and the computer device, or for data interaction between various virtual machines within the host machine. The processor 701 executes the program instructions stored in the memory 702.

[0073] The processor 701 can perform the following operations: Obtain historical power consumption data of the base station; segment the power consumption time of the base station according to the historical power consumption data; calculate the power supply scheme with the lowest cost based on the segmentation results of the power consumption time of the base station.

[0074] In some feasible implementations, the processor 701 may be a central processing unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0075] The memory 702 may include read-only memory and random access memory, and provides instructions and data to the processor 701 and input / output interface 703. A portion of the memory 702 may also include non-volatile random access memory. For example, the memory 702 may also store device type information.

[0076] In practice, the computer device can execute the implementation methods provided by the steps in the above embodiments through its built-in functional modules. For details, please refer to the implementation methods provided by the steps in the above embodiments, which will not be repeated here.

[0077] This disclosure provides a computer device including a processor, an input / output interface, and a memory. The processor retrieves a computer program from the memory and executes the steps of the method shown in the above embodiments to perform a transmission operation.

[0078] This disclosure also provides a computer-readable storage medium storing a computer program adapted to be loaded by a processor and execute the methods provided in the steps of the above embodiments. Specific implementations of the steps in the above embodiments can be found therein and will not be repeated here. Furthermore, the beneficial effects of using the same method will not be repeated here either. For technical details not disclosed in the embodiments of the computer-readable storage medium involved in this disclosure, please refer to the description of the method embodiments of this disclosure. As an example, the computer program can be deployed to execute on a single computer device, or on multiple computer devices located in one location, or on multiple computer devices distributed across multiple locations and interconnected via a communication network.

[0079] The computer-readable storage medium can be the apparatus provided in any of the foregoing embodiments or the internal storage unit of the computer device, such as the hard disk or memory of the computer device. The computer-readable storage medium can also be an external storage device of the computer device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., provided on the computer device. Furthermore, the computer-readable storage medium can include both internal storage units and external storage devices of the computer device. The computer-readable storage medium is used to store the computer program and other programs and data required by the computer device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0080] This disclosure also provides a computer program product or computer program that includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods provided in the various alternative embodiments described above.

[0081] The terms "first," "second," etc., used in the specification, claims, and drawings of this disclosure are used to distinguish different objects, not to describe a specific order. Furthermore, the term "comprising," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the listed steps or modules, but may optionally include steps or modules not listed, or may optionally include other step units inherent to these processes, methods, apparatuses, products, or devices.

[0082] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functionality. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0083] The methods and related apparatuses provided in this disclosure are described with reference to the method flowcharts and / or structural diagrams provided in this disclosure. Specifically, each block of the method flowchart and / or structural diagram, as well as combinations of blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions are provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable transmission device to create a machine, such that the instructions, which execute via the processor of the computer or other programmable transmission device, generate instructions for implementing the process. Figure 1 A schematic diagram of one or more processes and / or structures. Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable transmission device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 A schematic diagram of one or more processes and / or structures. Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable transmission device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable device for implementing the process. Figure 1 A process or multiple processes and / or structures illustrate the steps of the functions specified in one or more boxes.

[0084] The above-disclosed embodiments are merely preferred embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Therefore, any equivalent variations made in accordance with the claims of this disclosure shall still fall within the scope of this disclosure.

Claims

1. A power supply management method for a base station, characterized in that, include: Obtain historical operating power consumption data of the base station; The power consumption time of the base station is segmented based on the historical operating power consumption data of the base station; Specifically, it includes: Based on the historical operating power consumption data of the base station, the power consumption time of the base station is segmented using the minimum variance segmentation method; wherein, the 24 hours of a day are divided into n time periods according to the minimum variance segmentation method: {[ts1,te1],[ts2,te2],…,[tsn,ten]} Where tsk is the start time of the k-th time interval, tek is the end time of the k-th time interval, and k=1,...,n; The power supply scheme with the lowest cost is calculated based on the segmented results of the power consumption time of the base station; The power supply scheme with the lowest cost, calculated based on the segmented power consumption time of the base station, includes: The minimum cost power supply scheme is calculated by using either direct power supply or battery power supply for each segment of the power consumption time of the base station. The method for calculating the minimum cost power supply scheme by adopting direct power supply or battery power supply for each segment of the power consumption time of the base station includes: The minimum-cost power supply scheme is calculated by considering both direct power supply and battery power supply losses in each segment of the base station's power consumption time; specifically, it includes: The formula for calculating the cost of electricity supply is: Cost= + Where Ti is the length of the i-th time period in hours; Pi is the average energy consumption in the i-th time period in kW / h; Pri is the electricity price in the i-th time period; αi is the mains power loss coefficient in the i-th time period; Tj is the length of the j-th time period in hours; Pj is the average energy consumption in the j-th time period in kW / h; Prj is the electricity price in the j-th time period; βj is the battery loss coefficient in the j-th time period; subscript i indicates the time period directly powered by mains power; subscript j indicates the time period powered by battery. The power supply scheme with the lowest cost is selected by using a loop traversal and binary search.

2. The method according to claim 1, characterized in that, Historical operating power consumption data of the base station includes: Obtain historical operating power consumption data of the base station within the first time period.

3. The method according to claim 1, characterized in that, Also includes: The capacity of the base station power supply battery is determined based on the battery power supply time and the corresponding average power consumption of the base station in the power supply scheme with the lowest cost.

4. A power supply management device for a base station, characterized in that, include: The acquisition unit is used to acquire historical operating power consumption data of the base station; The segmentation unit is used to segment the power consumption time of the base station based on its historical operating power consumption data; specifically, it includes segmenting the power consumption time of the base station using the minimum variance segmentation method based on the historical operating power consumption data; wherein, the minimum variance segmentation method divides a 24-hour day into n time periods: {[ts1,te1],[ts2,te2],…,[tsn,ten]} Where tsk is the start time of the k-th time interval, tek is the end time of the k-th time interval, and k=1,...,n; The calculation unit is used to calculate the minimum-cost power supply scheme based on the segmented results of the power consumption time of the base station. Calculating the minimum-cost power supply scheme based on the segmented results of the power consumption time of the base station includes: calculating the minimum-cost power supply scheme by adopting either direct power supply or battery power supply for each segment of the power consumption time of the base station, and considering the losses of direct power supply and battery power supply; specifically including: The formula for calculating the cost of electricity supply is: Cost= + Where Ti is the length of the i-th time period in hours; Pi is the average energy consumption in the i-th time period in kW / h; Pri is the electricity price in the i-th time period; αi is the mains power loss coefficient in the i-th time period; Tj is the length of the j-th time period in hours; Pj is the average energy consumption in the j-th time period in kW / h; Prj is the electricity price in the j-th time period; βj is the battery loss coefficient in the j-th time period; subscript i indicates the time period directly powered by mains power; subscript j indicates the time period powered by battery. The power supply scheme with the lowest cost is selected by using a loop traversal and binary search.

5. A computer device, characterized in that, Includes processor, memory, and input / output interfaces; The processor is connected to the memory and the input / output interface respectively, wherein the input / output interface is used to receive data and output data, the memory is used to store computer programs, and the processor is used to call the computer programs so that the computer device executes the method according to any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program adapted to be loaded and executed by a processor, such that a computer device having the processor performs the method of any one of claims 1-3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method described in any one of claims 1-3.

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