Base station energy-saving method, electronic device, and readable storage medium

Abstract

The present application relates to the technical field of communications, and provides a base station energy-saving method, an electronic device, and a readable storage medium. The method comprises: inputting a current parameter configuration corresponding to a target base station and a preset task into a base station energy-saving analysis model to obtain an initial energy-saving strategy and an initial threshold associated with the preset task; issuing the initial energy-saving strategy and the initial threshold to the target base station, to instruct the target base station to enter an energy-saving state on the basis of the initial energy-saving strategy when service data of the target base station meets the initial threshold within a first time period; acquiring operation data fed back by the target base station; and when the operation data does not meet a target condition, updating the initial energy-saving strategy and / or the initial threshold on the basis of the operation data by means of the base station energy-saving analysis model, and issuing the updated initial energy-saving strategy and / or initial threshold to the target base station until the operation data fed back by the target base station meets the target condition.

Description

Base station energy saving method, electronic device and readable storage medium

[0001] Cross-reference

[0002] The present application claims priority to the Chinese patent application No. 202410414432.0, filed on April 8, 2024, entitled "Base station energy saving method, electronic device and readable storage medium", the whole content of which is incorporated herein by reference. TECHNICAL FIELD

[0003] Embodiments of the present application relate to the field of communication technology, in particular to a base station energy saving method, an electronic device and a readable storage medium. BACKGROUND

[0004] At present, the base station energy saving methods usually include: shutting down the cells with low load, shutting down part of the devices or part of the functions of the devices in the wireless communication system. However, the above methods have the problems of limited energy saving effect and low scene adaptability, so that the energy saving benefit cannot be maximized. SUMMARY

[0005] Embodiments of the present application provide a base station energy saving method, an electronic device and a readable storage medium.

[0006] The present application is implemented as follows:

[0007] In a first aspect, a base station energy saving method is provided, comprising: obtaining an initial energy saving strategy and an initial threshold associated with a preset task by inputting a current parameter configuration corresponding to a target base station and the preset task into a base station energy saving analysis model; issuing the initial energy saving strategy and the initial threshold to the target base station, instructing the target base station to enter an energy saving state according to the initial energy saving strategy if the target base station's business data in a first time period meets the initial threshold; obtaining operation data fed back by the target base station, wherein the operation data is operation data of the target base station in a second time period in the energy saving state; in the case that the operation data does not meet a target condition, updating the initial energy saving strategy and / or the initial threshold based on the operation data by the base station energy saving analysis model, and issuing the updated initial energy saving strategy and / or initial threshold to the target base station until the operation data fed back by the target base station meets the target condition.

[0008] In a second aspect, an electronic device is provided, which comprises a processor, a memory, and a program or instructions stored in the memory and executable on the processor, and the program or instructions are executed by the processor to implement the steps of the method of the first aspect.

[0009] In a third aspect, an embodiment of the present application provides a computer readable storage medium, which stores a program or instructions, and the program or instructions, when executed by a processor, implement the steps of the method according to the first aspect.

[0010] In a fourth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or instructions to implement the steps of the method according to the first aspect.

[0011] In a fifth aspect, an embodiment of the present application provides a computer program product, which includes a computer program stored in a non-transitory computer readable storage medium, and the computer program includes program instructions, and the program instructions, when executed by a computer, cause the computer to implement the steps of the method according to the first aspect. BRIEF DESCRIPTION OF DRAWINGS

[0012] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application.

[0013] FIG. 1 shows a flow diagram of a base station energy saving method according to an example embodiment of the present application;

[0014] FIG. 2 shows another flow diagram of a base station energy saving method according to an example embodiment of the present application;

[0015] FIG. 3 shows a structure diagram of an energy saving system according to an example embodiment of the present application;

[0016] FIG. 4 shows a structure diagram of an electronic device according to an example embodiment of the present application. DETAILED DESCRIPTION

[0017] The example embodiments will be described in detail herein with reference to the accompanying drawings. When the description is made with reference to the drawings, the same or similar components are designated with the same or similar reference numerals, and the repeated description of which will be omitted. The embodiments described in the following example embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0018] FIG. 1 shows a base station energy saving method according to an example embodiment of the present application, which can be executed by an electronic device, which can include a server and / or a terminal device. In other words, the method can be executed by software or hardware installed in the electronic device, and the method includes the following steps:

[0019] S110: Obtain an initial energy-saving strategy and an initial threshold associated with the preset task by inputting the current parameter configuration corresponding to the target base station and the preset task into a base station energy-saving analysis model.

[0020] The current parameter configuration corresponding to the target base station refers to various settings or attributes used to configure and adjust the base station. The current parameter configuration includes but is not limited to carrier parameters, access parameters, etc.

[0021] The preset task refers to the service corresponding to the service scenario associated with the target base station. That is, different tasks are created according to different scenarios and issued to the base station, and the base station needs to achieve energy saving based on the task. For example, during the day, even in the energy-saving mode, a certain level of communication service needs to be maintained to avoid affecting the user's communication experience; and at night, the task can be created according to the actual communication demand, which helps to flexibly set the initial energy-saving strategy.

[0022] The initial energy-saving strategy refers to dynamically adjusting various functions and parameters of the target base station to maximize energy consumption of the base station under the premise of meeting the preset task. The initial energy-saving strategy includes but is not limited to power control, shutting down part of the function module, adjusting the transmission parameter, etc.

[0023] The initial threshold refers to the threshold or triggering condition for the base station to execute the initial energy-saving strategy. The initial threshold includes but is not limited to power consumption threshold, temperature threshold, frequency threshold, etc.

[0024] In S110, the base station energy-saving analysis model can be used to reasonably configure the initial energy-saving strategy related to the target base station according to the current parameter configuration corresponding to the target base station and the preset task, so as to achieve optimal use of network resources on the basis of meeting specific business demands.

[0025] S120: Issue the initial energy-saving strategy and the initial threshold to the target base station, and instruct the target base station to enter an energy-saving state according to the initial energy-saving strategy if the business data of the target base station in a first time period meets the initial threshold.

[0026] It can be understood that after the initial energy-saving strategy and the initial threshold are determined, the initial energy-saving strategy and the initial threshold can be issued to the target base station. In this way, the target base station can determine whether the first threshold is met according to the business data of the target base station in the first time period, and enter the energy-saving state according to the initial energy-saving strategy if the first threshold is met. That is, when the business data of the target base station in the first time period exceeds the initial threshold, the base station will actively take energy-saving measures according to the initial energy-saving strategy to reduce power consumption and energy consumption.

[0027] S130: Obtain operation data fed back by the target base station.

[0028] The operation data is operation data of the target base station in a second time period in the energy saving state.

[0029] It can be understood that during the execution of the initial energy saving strategy by the target base station, the system will continuously monitor the working condition of the target base station to ensure that the energy saving strategy does not affect the communication quality. That is, the continuous monitoring of the target base station is realized by obtaining the operation data fed back by the target base station. The operation data refers to various data for monitoring and evaluating the running state of the base station, the network performance and the operation efficiency, and the operation data includes but is not limited to: network performance data, signal quality data, user traffic data, base station energy consumption data, etc.

[0030] S140: In the case that the operation data does not meet the target condition, updating the initial energy saving strategy and / or the initial threshold based on the operation data by the base station energy saving analysis model, and issuing the updated initial energy saving strategy and / or initial threshold to the target base station until the operation data fed back by the target base station meets the target condition.

[0031] The target condition can be an energy saving target. In the S140, in the case that the operation data does not meet the target condition, the base station energy saving analysis model is instructed to update the initial energy saving strategy and / or the initial threshold according to the operation data, and the updated initial energy saving strategy and / or initial threshold is issued to the target base station, and the target base station continues to make threshold judgment and execute the energy saving strategy, and then obtains the operation data for judgment until the operation data fed back by the target base station meets the target condition, thereby realizing continuous iteration optimization, reaching the optimal energy saving threshold, satisfying the target condition, and maximizing the energy saving gain.

[0032] In the present application, the current parameter configuration corresponding to the target base station and the preset task are analyzed by a base station energy saving analysis model, so as to obtain an initial energy saving strategy and an initial threshold associated with the preset task, and the initial energy saving strategy and the initial threshold are issued to the target base station, indicating that the target base station enters an energy saving state according to the initial energy saving strategy in the case that the business data of the target base station meets the initial threshold in a first time period, and the operation data fed back by the target base station is obtained in the case that the target base station is in the energy saving state, wherein the operation data is the operation data of the target base station in a second time period in the energy saving state, and finally the iteration optimization of the initial energy saving strategy and / or the initial threshold is realized by judging whether the operation data meets a target condition, so as to dynamically determine the optimal threshold and the optimal energy saving strategy under a specific task in real time, realize the precise energy saving under the specific task, and maximize the energy saving gain. Moreover, compared with the traditional energy saving mode, the present application realizes intelligent judgment, intelligent iteration and automatic entry and exit of the energy saving mode based on the threshold optimization and energy saving strategy optimization of artificial intelligence (AI) big data, can meet the needs of multiple scenes, and liberates the labor cost in the traditional energy saving mode.

[0033] In an implementation manner, the operation data includes a key performance indicator, and the target condition includes an indicator condition; and the updating the initial energy saving strategy and / or the initial threshold based on the operation data includes: in the case that the key performance indicator does not meet the indicator condition, optimizing the initial energy saving strategy and / or the initial threshold according to the key performance indicator.

[0034] It can be understood that the key performance indicator (KPI) refers to a performance and operation condition of a base station, which can include but is not limited to network quality, failure rate, energy consumption, etc. The indicator condition refers to a specific indicator or parameter for evaluating the KPI, which includes but is not limited to signal strength, data transmission rate, failure rate, packet loss rate, response time, etc. If the key performance indicator does not meet the indicator condition, it means that the network performance is affected after the base station executes the initial energy saving strategy, resulting in a decrease in user experience, and therefore the initial energy saving strategy and / or the initial threshold need to be optimized and adjusted according to the key performance indicator to avoid affecting the user experience.

[0035] In another implementation manner, the operation data further includes energy consumption data, and the target condition further includes an energy consumption condition; and the method further includes: in the case that the key performance indicator meets the indicator condition, judging whether the energy consumption data meets the energy consumption condition; and in the case that the energy consumption data does not meet the energy consumption condition, optimizing the initial energy saving strategy and / or the initial threshold according to the energy consumption data.

[0036] It can be understood that the energy consumption data refers to data used to describe the energy consumption during the operation of the base station, and the energy consumption data includes but is not limited to power consumption, electricity consumption, refrigeration energy consumption, etc. The energy consumption condition refers to a specific index or parameter used to evaluate the energy consumption data. The energy consumption condition includes but is not limited to energy utilization amount, energy utilization rate, etc. If the key performance indicator meets the index condition, it means that the base station does not affect the network performance and user experience after executing the initial energy-saving strategy, therefore, it is necessary to further judge whether the energy consumption data meets the energy consumption condition. If the energy consumption data does not meet the energy consumption condition, the initial energy-saving strategy and / or the initial threshold are adjusted and optimized according to the energy consumption data, so that the initial energy-saving strategy and / or the initial threshold are adjusted and optimized to maximize the energy-saving gain on the basis of ensuring that the network performance and user experience are not affected.

[0037] Further, in an implementation manner, the optimizing the initial energy-saving strategy and / or the initial threshold according to the energy consumption data comprises: in a case where it is determined that the current parameter configuration needs to be adjusted, adjusting the current parameter configuration based on the energy consumption data to obtain a target parameter configuration; and updating the initial energy-saving strategy and / or the initial threshold by inputting the target parameter configuration into the base station energy-saving analysis model.

[0038] In another implementation manner, the optimizing the initial energy-saving strategy and / or the initial threshold according to the energy consumption data comprises: in a case where it is determined that the current parameter configuration does not need to be adjusted, optimizing the initial energy-saving strategy and / or the initial threshold according to the energy consumption data.

[0039] It can be understood that, in a case where the initial energy-saving strategy and / or the initial threshold need to be optimized according to the energy consumption data, it can be judged whether the current parameter configuration corresponding to the target base station needs to be adjusted, because the energy consumption data of the base station is closely related to the current parameter configuration. For example, if the transmission power is set too high, it will lead to a significant increase in energy consumption on the basis of increasing signal coverage and improving communication quality; or when the user traffic is low, if all carriers are turned on to send carrier signals, it will also lead to a significant increase in energy consumption. Therefore, it is necessary to judge whether the current parameter configuration needs to be adjusted. In a case where it is determined that the current parameter configuration needs to be adjusted, the various parameter configurations of the base station are accurately adjusted, and then the initial energy-saving strategy and / or the initial threshold are updated according to the adjusted parameter configuration, i.e., the target parameter configuration, to realize effective control and optimization of the energy consumption of the base station. In a case where it is determined that the current parameter configuration does not need to be adjusted, the initial energy-saving strategy and / or the initial threshold are optimized according to the energy consumption data.

[0040] In an implementation, in the case that the indication is that the traffic data of the target base station in the first time period satisfies the initial threshold, the method further comprises, before entering the energy saving state according to the initial energy saving strategy, deploying a target energy saving function; and the entering the energy saving state according to the initial energy saving strategy in the case that the indication is that the traffic data of the target base station in the first time period satisfies the initial threshold comprises: in the case that the indication is that the traffic data of the target base station in the first time period satisfies the initial threshold, performing an energy saving operation corresponding to the initial energy saving strategy by invoking the target energy saving function.

[0041] It can be understood that, after the target base station obtains the initial energy saving strategy, a corresponding energy saving function is needed to execute the initial energy saving strategy. Therefore, the energy saving function is deployed to ensure that the base station can effectively implement energy saving measures to achieve the purpose of energy saving. The target energy saving function includes, but is not limited to, carrier shutdown, channel shutdown, symbol shutdown, and static voltage regulation.

[0042] In an implementation, after the initial threshold is updated based on the operation data, the method further comprises: dynamically updating the initial threshold again by an adaptive threshold model, wherein the adaptive threshold model is established based on an average number of radio resource control (RRC) users and a base station load by a preset traffic model.

[0043] The preset traffic model refers to a preset traffic model of the base station, which is used to estimate and measure the communication demand and network load generated by the activities such as voice calls and data transmission of users in the area served by the base station. The average number of RRC users refers to the average number of user equipment in an RRC connected state in a period of time, which can reflect the number of user equipment that are active in the network and occupy wireless resources in the period of time. The base station load refers to the overall payload, that is, the maximum data amount or load capacity that can be carried by the base station.

[0044] In this implementation, the adaptive threshold model established based on the average number of RRC users and the base station load by the preset traffic model can predict the load condition of the base station in a future period of time by considering the current user traffic and the base station load, and dynamically update the initial threshold again according to the load condition, so that the threshold setting for base station energy saving can be adjusted more accurately according to the actual situation. In this way, the energy saving strategy can be triggered in time to reduce energy consumption without affecting the network performance.

[0045] In an implementation, before the initial energy saving strategy and the initial threshold associated with the preset task are obtained by inputting the current parameter configuration corresponding to the target base station and the preset task into the base station energy saving analysis model, the method further comprises: determining an initial parameter configuration according to a site parameter setting of the target base station, wherein the initial parameter configuration comprises parameter configurations of each carrier on each channel.

[0046] It can be understood that in a wireless communication system, a base station comprises a baseband unit (BBU), a remote radio unit (RRU), or an active antenna unit (AAU), wherein the site parameter setting refers to a parameter configuration of the BBU, and the site parameter setting comprises but is not limited to cell parameters and scheduling parameters; the initial parameter configuration refers to a parameter configuration of the RRU or the AAU, and the initial parameter configuration can comprise parameter configurations of each carrier on each channel. In the wireless communication system, the BBU is responsible for scheduling and control of digital signals, while the RRU or the AAU is responsible for amplification, transmission, and reception of radio frequency signals, and therefore, to ensure the quality and coverage effect of wireless signals, the parameters of the RRU or the AAU are usually set according to the parameter configuration issued by the BBU.

[0047] In an implementation, after the initial parameter configuration is determined according to the site parameter setting of the target base station, the method further comprises: optimizing the initial parameter configuration; and determining the current parameter configuration as the optimized initial parameter configuration. In another implementation, the optimization of the initial parameter configuration comprises: mixing multiple mode carriers into the same RRU channel, and cooperatively adjusting the parameter configurations of the multiple mode carriers.

[0048] It can be understood that although the parameter configuration of the RRU is usually based on the parameter setting of the BBU, in actual operation, it also needs to be dynamically adjusted according to the actual situation of the RRU to ensure the performance and stability of the entire communication system. Since a single RRU channel can process signals of multiple frequency bands and modes, multiple mode carriers can be integrated on one RRU channel, and the parameter configurations of the multiple mode carriers can be cooperatively adjusted, which can further optimize resource utilization and improve the energy efficiency of the base station. Therefore, determining the current parameter configuration as the optimized initial parameter configuration can ensure that the optimal configuration is achieved when the initial energy saving measurement and the initial threshold are determined, thereby maximizing the energy saving gain.

[0049] Optionally, the multiple standard carriers include, but are not limited to, GSM carriers (Global System for Mobile Communications) and UMTS carriers (Universal Mobile Telecommunications System).

[0050] Based on the above various embodiments, the application further provides another flowchart of the base station energy saving method, as shown in FIG. 2. In this embodiment, by sorting the various parameter configurations of the base station, the related parameter configurations are obtained, the related parameter configurations are input into the base station energy saving analysis model, the related initial energy saving strategy and initial threshold are obtained, and then the base station is deployed with the energy saving function, the initial energy saving strategy and the initial threshold. In the state of energy saving being turned on, the KPI and configuration data fed back by the wireless base station are obtained, it is judged whether the KPI is affected and the user perception is affected, if not, the strategy will be used for continuous optimization iteration, and then the maximum gain of energy saving is further achieved. That is to say, relying on the sorting and optimization of the hardware and power configuration in the early stage, and based on the technology after the deployment of the energy saving function, the optimization iteration is continuously carried out in the base station energy saving analysis model, so as to obtain the optimal energy saving strategy. In this way, the corresponding energy saving strategy can be issued according to the different scenes and different devices of the wireless base station, so as to obtain the final energy saving benefit.

[0051] It should be noted that this embodiment can realize the specific process of the embodiment shown in FIG. 1.

[0052] Based on the above various embodiments, the application further provides an energy-saving system, as shown in FIG. 3, which comprises a centralized self-organized network (CSON) server 310, a wireless multi-mode site BBU 320, and a wireless multi-mode site RRU / AAU 330. The energy-saving process thereof comprises hardware and power configuration, configuration optimization, energy-saving function deployment, energy-saving threshold optimization, and energy-saving effect analysis. The hardware and power configuration refers to the configuration of each carrier on the RRU hardware according to the configuration of each wireless 2G, 3G, and 4G site, and the confirmation of the configuration of the RRU and each mode carrier on each channel. The configuration optimization refers to the optimization adjustment of the parameters according to the configuration, the moving of the GSM carrier and the UMTS carrier to one RRU channel as much as possible, and the coordinated adjustment of multiple mode carriers. The energy-saving function deployment refers to the deployment of related energy-saving functions, such as carrier shutdown, channel shutdown, symbol shutdown, and static voltage regulation. The energy-saving threshold optimization refers to the establishment of the model between the average RRC user number and the overall payload through the traffic model of the existing site, and the final value of the threshold is determined by analyzing between the device 1 and the device 2. The energy-saving effect analysis refers to the analysis of whether the energy-saving of the cell and the device is effective and whether the energy consumption is maximized according to the energy-saving effect after the deployment of the energy-saving function.

[0053] In this embodiment, relying on the CSON server, the network traffic prediction, parameter deployment selection and optimization, performance adjustment and optimization form a closed loop, and the balance between reducing network energy consumption and network performance is found while considering network performance. It can be based on AI engine, using SARIMA (seasonal autoregressive moving average algorithm), LSTM (long short-term memory network algorithm), GBDT (gradient boosting decision tree) and FNNM (feedforward neural network model) AI algorithms for adjustment and adaptation. It can well match the demand of mobile communication network, intelligently schedule traditional energy-saving methods such as cell coordination identification, cell shutdown, channel shutdown, and symbol shutdown, so that the energy-saving effect is greatly improved.

[0054] In another implementation, the system can further include a data collection module, a gate limit determination module, an energy saving configuration verification module, a task creation module, and an energy saving effect statistics and analysis module. The data collection module is configured to collect configuration data, performance data, and MR data of the wireless station. The gate limit determination module includes a CSON gate limit and a base station gate limit, wherein the base station gate limit is an iterative gate limit of the CSON gate limit. The energy saving configuration verification module is configured to verify whether the configuration of the station is an optimal configuration for maximizing energy saving gain. The task creation module is configured to create different tasks according to different scenarios and send the tasks to the base station. The energy saving effect statistics and analysis module is configured to analyze the energy saving gain. In this implementation, the energy saving system and the wireless station are connected through full IP, the station adds a route through IP transmission side, realizes land travel between the station and the server, and thus realizes communication between the energy saving system and the wireless station. Then, the energy saving system sends the created tasks to the station, and the station obtains the energy saving gate limit through iteration in a certain period, and thus realizes intelligent energy saving.

[0055] It should be noted that the embodiment can realize the specific process of the embodiment shown in FIG. 1.

[0056] Optionally, as shown in FIG. 4, the embodiment of the present application further provides an electronic device 400, which includes a processor 410, a memory 420, and a program or instruction stored in the memory 420 and executable on the processor 410. The program or instruction is executed by the processor 410 to realize the processes of the embodiments shown in FIGS. 1-2, and the same technical effects can be achieved. To avoid repetition, details are not described herein.

[0057] The embodiment of the present application further provides a computer readable storage medium, which stores a program or instruction. The program or instruction is executed by a processor to realize the processes of the embodiments shown in FIGS. 1-2, and the same technical effects can be achieved. To avoid repetition, details are not described herein.

[0058] The processor is the processor of the electronic device in the above embodiments. The readable storage medium includes a computer readable storage medium, such as a computer readable memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, etc.

[0059] The embodiment of the present application further provides a chip, which includes a processor and a communication interface. The communication interface is coupled with the processor. The processor is configured to run a program or instruction to realize the processes of the embodiments shown in FIGS. 1-2. To avoid repetition, details are not described herein.

[0060] It should be understood that the chip mentioned in the embodiments of the present application can also be referred to as a system-level chip, a system chip, a chip system, or a system-on-chip chip, etc.

[0061] It should be noted that in this document, the terms "comprise", "comprising", or any other variant thereof are intended to cover non-exclusive inclusions, so that processes, methods, articles, or devices that comprise a list of elements not only include those elements, but also include other elements not explicitly listed, or further include elements inherent in such processes, methods, articles, or devices. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but can also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method can be performed in an order different from that described, and various steps can also be added, omitted, or combined. In addition, the features described with reference to certain examples can be combined in other examples.

[0062] From the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be realized by means of software and the necessary general hardware platform, of course, they can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes a plurality of instructions for making a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) execute the methods described in various embodiments of the present application.

[0063] The embodiments of the present application are described above in combination with the drawings, but the present application is not limited to the above specific embodiments, and the above specific embodiments are only illustrative, not limiting, and those skilled in the art can make many forms under the inspiration of the present application without departing from the scope of the present application and the scope protected by the claims.

Claims

1. A base station energy saving method, the method comprising: By inputting the current parameter configuration and preset task corresponding to the target base station into the base station energy-saving analysis model, an initial energy-saving strategy and an initial threshold associated with the preset task are obtained; Sending the initial energy-saving strategy and the initial threshold to the target base station, instructing the target base station to enter an energy-saving state according to the initial energy-saving strategy when service data of the target base station meets the initial threshold within a first time period; Acquire operation data fed back by the target base station, wherein the operation data is operation data of the target base station in a second time period in an energy-saving state; When the operating data does not meet the target conditions, the base station energy-saving analysis model is used to update the initial energy-saving strategy and / or the initial threshold based on the operating data, and the updated initial energy-saving strategy and / or initial threshold is sent to the target base station until the operating data fed back by the target base station meets the target conditions.

2. The method according to claim 1, wherein The operational data includes key performance indicators, and the target conditions include indicator conditions; The updating of the initial energy-saving strategy and / or the initial threshold based on the operation data includes: When the key performance indicator does not meet the indicator condition, the initial energy-saving strategy and / or the initial threshold are optimized according to the key performance indicator.

3. The method according to claim 2, wherein: The operation data also includes energy consumption data, and the target conditions also include energy consumption conditions; The method further comprises: If the key performance indicator satisfies the indicator condition, determining whether the energy consumption data satisfies the energy consumption condition; In a case where the energy consumption data does not satisfy the energy consumption condition, the initial energy-saving strategy and / or the initial threshold are optimized according to the energy consumption data.

4. The method according to claim 3, wherein: Optimizing the initial energy-saving strategy and / or the initial threshold according to the energy consumption data includes: If it is determined that the current parameter configuration needs to be adjusted, adjusting the current parameter configuration based on the energy consumption data to obtain a target parameter configuration; The initial energy-saving strategy and / or the initial threshold are updated by inputting the target parameter configuration into the base station energy-saving analysis model.

5. The method according to claim 3, wherein Optimizing the initial energy-saving strategy and / or the initial threshold according to the energy consumption data includes: When it is determined that the current parameter configuration does not need to be adjusted, the initial energy-saving strategy and / or the initial threshold are optimized according to the energy consumption data.

6. The method according to any one of claims 1 to 5, wherein: In a case where the service data of the target base station in the first time period indicating that the target base station meets the initial threshold, before entering the energy-saving state according to the initial energy-saving strategy, the method further includes: Deploy targeted energy-saving features; The instructing the target base station to enter a power-saving state according to the initial power-saving strategy when the service data of the target base station meets the initial threshold within the first time period includes: The target base station is instructed to perform an energy-saving operation corresponding to the initial energy-saving strategy by calling the target energy-saving function when the service data of the target base station meets the initial threshold within the first time period.

7. The method according to any one of claims 1 to 5, wherein: After updating the initial threshold based on the operational data, the method further includes: The initial threshold is dynamically updated again through an adaptive threshold model, wherein the adaptive threshold model is established based on an average number of RRC users and a base station load through a preset traffic model.

8. The method according to any one of claims 1 to 5, wherein: Before obtaining the initial energy-saving strategy and initial threshold associated with the preset task by inputting the current parameter configuration and preset task corresponding to the target base station into the base station energy-saving analysis model, the method further includes: An initial parameter configuration is determined according to the site parameter setting of the target base station, wherein the initial parameter configuration includes parameter configuration of each carrier on each channel.

9. The method according to claim 8, wherein After determining the initial parameter configuration according to the site parameter setting of the target base station, the method further includes: Optimizing the initial parameter configuration; Determine the current parameter configuration as the optimized initial parameter configuration.

10. The method according to claim 9, wherein: The optimizing the initial parameter configuration includes: Multiple standard carriers are mixed and loaded into the same radio frequency unit (RRU) channel, and parameter configurations of the multiple standard carriers are collaboratively adjusted.

11. An electronic device comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the base station energy saving method according to any one of claims 1 to 10.

12. A readable storage medium storing a program or instruction, wherein the program or instruction, when executed by a processor, implements the steps of the base station energy saving method according to any one of claims 1 to 10.

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