Base station control method, device, non-volatile storage medium and electronic device

Abstract

The present invention discloses a base station control method, device, non-volatile storage medium, and electronic device. The method comprises: determining a target base station's load index and environmental parameter index within a preset time period, wherein the start time of the preset time period is the end time of the current time period; determining the target base station's operating state within the preset time period based on the load index and environmental parameter index, wherein the operating state includes the target base station's operating parameters; determining the target base station's operating strategy and temperature control strategy within the preset time period based on the operating state and environmental parameter index; and executing the operating strategy and temperature control strategy within the preset time period. The present invention solves the technical problem of energy waste caused by the prior art in which both the base station's power supply equipment and temperature control equipment operate according to fixed parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent devices and base stations, and in particular to a base station control method, device, non-volatile storage medium and electronic equipment. Background Art

[0002] With the deployment and popularization of base stations, more and more devices, especially mobile devices with instant access, such as mobile phones or laptops, access the network instantly through base stations and initiate processing requests to meet their functions;

[0003] However, during the deployment process of existing base stations, their power supply equipment and temperature control equipment often operate according to fixed parameters and power. However, the number of access devices and the number of processing requests are different in different time periods. When the power supply equipment and temperature control equipment operate according to fixed parameters and power, energy is wasted when there are fewer access devices or fewer processing requests.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] Embodiments of the present invention provide a base station control method, device, non-volatile storage medium, and electronic device to at least solve the technical problem of energy waste caused by the fact that the power supply equipment and temperature control equipment of the base station in the prior art both operate according to fixed parameters.

[0006] According to one aspect of an embodiment of the present invention, a base station control method is provided, including: determining a load index and an environmental parameter index of a target base station within a preset time period, wherein the start time point of the preset time period is the end time point of the current time period; determining a working state of the target base station within the preset time period based on the load index and the environmental parameter index, wherein the working state includes the operating parameters of the target base station; determining an operating strategy and a temperature control strategy of the target base station within the preset time period based on the operating state and the environmental parameter index; and executing the operating strategy and the temperature control strategy within the preset time period.

[0007] Optionally, the load index includes the number of access devices, which is the number of devices accessing the target base station within a preset time period, wherein determining the load index of the target base station within the preset time period includes: determining a correlation coefficient between the current time period and the preset time period, wherein the correlation coefficient includes a first correlation coefficient and a second correlation coefficient, the first correlation coefficient is used to indicate that the similarity of the load index between the current time period and the preset time period is greater than a preset similarity, and the second correlation coefficient is used to indicate that the similarity of the load index between the current time period and the preset time period is not greater than a preset similarity; based on the correlation coefficient, determining the number of active devices in the signal radiation area of ​​the target base station within the preset time period, wherein the active devices are the number of devices located within the signal radiation area; and, based on the correlation coefficient, determining the device access rate of the target base station within the preset time period, wherein the device access rate is the ratio of the number of access devices to the number of active devices in the radiation area; and determining the number of access devices based on the number of active devices and the device access rate.

[0008] Optionally, determining the correlation coefficient between the current time period and the preset time period includes: determining the residence time periods corresponding to different types of residence targets in the target time period, wherein the current time period and the preset time period are both within the target time period, and the residence targets include at least one of the following: consumption targets, office targets, life targets, and transportation targets; determining a first overlap ratio between the current time period and different types of residence time periods, and determining a second overlap ratio between the preset time period and different types of residence time periods; when the current time period and the preset time period overlap with the same type of residence time period, and both the first overlap ratio and the second overlap ratio are greater than a preset ratio threshold, determining the correlation coefficient between the current time period and the preset time period to be the first correlation coefficient; when the current time period and the preset time period do not overlap with the same type of residence time period, or when there is an overlap ratio in the first overlap ratio and the second overlap ratio that is not greater than the preset ratio threshold, determining the correlation coefficient to be the second correlation coefficient.

[0009] Optionally, determining the number of active devices in the signal radiation area of ​​the target base station within a preset time period includes: when the correlation coefficient is a first correlation coefficient, determining the number of active devices in the current time period as the number of active devices in the preset time period; when the correlation coefficient is a second correlation coefficient, determining a historical time period whose correlation relationship with the preset time period is a first correlation relationship, and determining the number of active devices corresponding to the historical time period as the number of active devices corresponding to the preset time period.

[0010] Optionally, determining the device access rate of the target base station within a preset time period includes: when the association coefficient is a first association coefficient, determining that the device access rate of the current time period is the device access rate of the preset time period; when the association coefficient is a second association coefficient, determining that the historical time period whose association relationship with the preset time period is a first association relationship, and determining that the device access rate corresponding to the historical time period is the device access rate corresponding to the preset time period.

[0011] Optionally, before determining the load index and environmental parameter index of the target base station within a preset time period, the base station control method also includes: when it is determined that the change amplitude of the load index or operating parameter of the target base station within the current time period is greater than a preset amplitude threshold, determining the load index and operating parameter within the current time period as the load index and operating parameter within the preset time period, wherein the load index includes at least one of the following: the total amount of service request data, the total amount of access devices.

[0012] Optionally, the operation strategy includes the energy supply parameters of the target base station, and the temperature control strategy includes the temperature control parameters of the target base station, wherein the energy supply parameters and the temperature control parameters are the respective working parameters of the energy supply device and the temperature control device in the target base station when the target base station meets the operation parameters under the optimal energy consumption ratio.

[0013] According to another aspect of an embodiment of the present invention, a base station control device is also provided, including: a first processing module, used to determine the load index and environmental parameter index of the target base station within a preset time period, wherein the preset time period is a future time period; a calculation module, used to determine the working status of the target base station within the preset time period based on the load index and the environmental parameter index, wherein the working status includes the operating parameters of the target base station; a second processing module, used to determine the operating strategy and temperature control strategy of the target base station within the preset time period based on the working status and the environmental parameter index; and an execution module, used to execute the operating strategy and temperature control strategy within the preset time period.

[0014] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided. The non-volatile storage medium includes a stored program, wherein when the program runs, a device where the non-volatile storage medium is located is controlled to execute a base station control method.

[0015] According to another aspect of an embodiment of the present invention, an electronic device is provided. The electronic device includes a processor, and the processor is configured to run a program, wherein the base station control method is executed when the program is run.

[0016] In an embodiment of the present invention, a method is adopted to determine the load index and environmental parameter index of the target base station within a preset time period, wherein the starting time point of the preset time period is the end time point of the current time period; based on the load index and the environmental parameter index, the working state of the target base station within the preset time period is determined, wherein the working state includes the operating parameters of the target base station; based on the working state and the environmental parameter index, the operating strategy and temperature control strategy of the target base station within the preset time period are determined; and the operating strategy and temperature control strategy are executed within the preset time period. By determining the working state and environmental parameter index of the target base station within the preset time period, the purpose of adjusting the operating strategy and temperature control strategy of the target base station within the preset time period based on the working state is achieved, thereby achieving the technical effect of determining the corresponding operating strategy and temperature control strategy based on the actual needs of the target base station within the preset time period, thereby solving the technical problem of energy waste caused by the fact that the power supply equipment and temperature control equipment of the base station in the prior art operate according to fixed parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 is a flow chart of a base station control method according to an embodiment of the present invention;

[0019] Figure 2 is a schematic structural diagram of a base station according to an embodiment of the present invention;

[0020] Figure 3 is a flow chart of a base station control process according to an embodiment of the present invention;

[0021] Figure 4 It is a structural diagram of a base station control device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] According to an embodiment of the present invention, a method embodiment of a base station control method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0025] Figure 1 is a base station control method according to an embodiment of the present invention, such as Figure 1 As shown, the method includes the following steps:

[0026] Step S102, determining the load index and environmental parameter index of the target base station within a preset time period, wherein the start time point of the preset time period is the end time point of the current time period;

[0027] In some embodiments of the present application, the above-mentioned environmental parameter indicator includes the ambient temperature of the surrounding environment of the target base station.

[0028] In some embodiments of the present application, the load index includes the number of access devices, and the number of access devices is the number of devices accessing the target base station within the preset time period, wherein determining the load index of the target base station within the preset time period includes: determining a correlation coefficient between the current time period and the preset time period, wherein the correlation coefficient includes a first correlation coefficient and a second correlation coefficient, the first correlation coefficient is used to indicate that the load index similarity between the current time period and the preset time period is greater than a preset similarity, and the second correlation coefficient is used to indicate that the load index similarity between the current time period and the preset time period is not greater than a preset similarity; based on the correlation coefficient, determining the number of active devices in the signal radiation area of ​​the target base station within the preset time period, wherein the active devices are the number of devices located in the signal radiation area; and based on the correlation coefficient, determining the device access rate of the target base station within the preset time period, wherein the device access rate is the ratio of the number of access devices to the number of active devices in the radiation area; determining the number of access devices based on the number of active devices and the device access rate.

[0029] In some embodiments of the present application, determining the correlation coefficient between the current time period and the preset time period includes: determining the residence time periods corresponding to different types of stay targets in the target time period, wherein the current time period and the preset time period are both located in the target time period, and the stay targets include at least one of the following: consumption targets, office targets, life targets, and transportation targets; determining a first overlap ratio between the current time period and the different types of the residence time periods, and determining a second overlap ratio between the preset time period and the different types of the residence time periods; when the current time period and the preset time period overlap with the same type of residence time period, and the first overlap ratio and the second overlap ratio are both greater than a preset ratio threshold, determining the correlation coefficient between the current time period and the preset time period to be the first correlation coefficient; when the current time period and the preset time period do not overlap with the same type of residence time period, or when the first overlap ratio and the second overlap ratio have an overlap ratio that is not greater than a preset ratio threshold, determining the correlation coefficient to be the second correlation coefficient.

[0030] Specifically, when calculating the correlation coefficient, the characteristic parameter of the stay of people in the base station signal radiation area can be obtained. This parameter is used to indicate the number of people and the stay time when people stay in the base station signal radiation area for some purpose; the purpose can be divided into consumption purpose, office purpose, life purpose and transportation purpose; the consumption purpose mainly refers to when there are shopping malls or shops gathered in the base station signal radiation area, and people stay mainly for consumption, and the corresponding stay time is mainly between non-working time and rest time; the office purpose mainly refers to when there are office areas in the base station signal radiation area, and people stay mainly for office; the corresponding stay time is mainly working time; the life purpose mainly refers to when there are residential buildings in the base station signal radiation area, and people stay mainly for life; the corresponding stay time is mainly non-working time; the transportation purpose mainly refers to when there are transportation hubs in the base station signal radiation area, and people stay mainly for transportation; the corresponding stay time is determined according to the specific transportation hubs.

[0031] Afterwards, the correlation coefficient between the current period and the next period can be set based on the stay time within the personnel stay characteristic parameters; if the length of time that the current period and the next period are in the same stay time accounts for more than 50% of the total length of time, then the correlation coefficient is considered to be the first correlation coefficient, otherwise the correlation coefficient is considered to be the second correlation coefficient.

[0032] In some embodiments of the present application, determining the number of active devices in the signal radiation area of ​​the target base station within the preset time period includes: when the association coefficient is the first association coefficient, determining the number of active devices in the current time period as the number of active devices in the preset time period; when the association coefficient is the second association coefficient, determining a historical time period whose association relationship with the preset time period is the first association relationship, and determining the number of active devices corresponding to the historical time period as the number of active devices corresponding to the preset time period.

[0033] In some embodiments of the present application, determining the device access rate of the target base station within the preset time period includes: when the association coefficient is the first association coefficient, determining that the device access rate of the current time period is the device access rate of the preset time period; when the association coefficient is the second association coefficient, determining that the historical time period whose association relationship with the preset time period is the first association relationship, and determining that the device access rate corresponding to the historical time period is the device access rate corresponding to the preset time period.

[0034] Step S104: determining the operating status of the target base station within a preset time period based on the load index and the environmental parameter index, wherein the operating status includes operating parameters of the target base station;

[0035] In some embodiments of the present application, before determining the load index and environmental parameter index of the target base station within a preset time period, the base station control method further includes: when it is determined that the change amplitude of the load index or operating parameter of the target base station within the current time period is greater than a preset amplitude threshold, determining the load index and operating parameter within the current time period as the load index and operating parameter within the preset time period, wherein the load index includes at least one of the following: the total amount of service request data, the total amount of access devices.

[0036] Step S106, determining the operation strategy and temperature control strategy of the target base station within a preset time period based on the working status and environmental parameter indicators;

[0037] In some embodiments of the present application, the operating strategy includes the energy supply parameters of the target base station, and the temperature control strategy includes the temperature control parameters of the target base station, wherein the energy supply parameters and the temperature control parameters are the respective working parameters of the energy supply device and the temperature control device in the target base station when the target base station meets the operating parameters under the optimal energy consumption ratio.

[0038] Step S108: executing the operation strategy and the temperature control strategy within a preset time period.

[0039] In some implementations of the present application, the base station that executes the above-mentioned operation strategy and temperature control strategy is as follows: Figure 2 As shown, it includes a base station body 20, a power supply device 22, and a temperature control device 24. The base station body 20 is used to process service requests from other communication devices; the power supply device 22 is used to implement the above-mentioned operation strategy and supply energy to the base station body 20; the temperature control device 24 is used to implement the above-mentioned temperature control strategy and control the temperature of the base station body 20.

[0040] As an optional implementation, Figure 2The base station body 20 in the system can be configured to perform a variety of different tasks. For example, the base station body 20 can be used to obtain the access devices corresponding to the base station in different time periods; the base station body 20 can be used to obtain the device access rate in the base station signal radiation area in different time periods, and the device access rate is the proportion of access devices in the radiation area to all devices; the base station body 20 can be used to predict the access devices and base station operating parameters of the next time period based on the access devices and base station operating parameters of the current time period; the base station body 20 can be used to predict the device access rate of the next time period based on the device access rate of the current time period; the base station body 20 can be used to predict the device operating parameters and temperature parameters of the next time period based on the access devices of the next time period, the device access rate of the next time period, the device operating parameters and the temperature parameters of the environment where the base station is located in the current time period; the base station body 20 can be used to set the base station's operating strategy and temperature adjustment strategy based on the device operating parameters and temperature parameters of the next time period; the base station body 20 can be used to control the power supply equipment and temperature adjustment equipment to execute the operating strategy and temperature adjustment strategy.

[0041] In some embodiments of the present application, the base station body 20 obtains the device access rate in the base station signal radiation area at different time periods, including: obtaining all active devices in the signal radiation area at different time periods; obtaining devices accessing the base station from all active devices; and obtaining the device access rate in the base station signal radiation area at different time periods based on all active devices and devices accessing the base station.

[0042] In some embodiments of the present application, the base station body 20 predicts the access equipment and base station operating parameters of the next time period based on the access equipment and base station operating parameters of the current time period, including: obtaining the processing request initiated by the access equipment of the current time period; obtaining the processing resources corresponding to the service request; and predicting the access equipment and base station operating parameters of the next time period based on the processing resources and base station operating parameters.

[0043] In some embodiments of the present application, the base station body 20 predicts the device access rate of the next time period based on the device access rate of the current time period, including: predicting the active devices in the next time period; calculating the device access rate of the next time period based on the active devices in the next time period and the device access rate of the current time period.

[0044] In some embodiments of the present application, the base station body 20 predicts the equipment operating parameters and temperature parameters of the next time period based on the access equipment in the next time period, the equipment access rate in the next time period, the equipment operating parameters and the temperature parameters of the current time period of the environment where the base station is located, including: calculating the processing request for the next time period based on the access equipment in the next time period and the equipment access rate in the next time period; calculating the equipment operating parameters for the next time period based on the processing request for the next time period and the equipment operating parameters; predicting the equipment operating temperature for the next time period based on the equipment operating parameters for the next time period; predicting the temperature parameters for the next time period based on the temperature parameters of the current time period of the environment where the base station is located and the equipment operating temperature.

[0045] In some embodiments of the present application, the base station body 20 sets the base station operation strategy and temperature adjustment strategy according to the equipment operation parameters and temperature parameters of the next time period, including: setting the base station power supply parameters according to the equipment operation parameters of the next time period, so that the base station meets the equipment operation parameters under optimal energy consumption conditions; setting the temperature adjustment device according to the temperature parameters, so that the equipment operation parameters are met under optimal energy consumption conditions of the temperature adjustment device.

[0046] By determining the load index and environmental parameter index of the target base station within a preset time period, wherein the start time point of the preset time period is the end time point of the current time period; determining the working status of the target base station within the preset time period based on the load index and environmental parameter index, wherein the working status includes the operating parameters of the target base station; determining the operating strategy and temperature control strategy of the target base station within the preset time period based on the working status and environmental parameter index; executing the operating strategy and temperature control strategy within the preset time period, by determining the working status and environmental parameter index of the target base station within the preset time period, the purpose of adjusting the operating strategy and temperature control strategy of the target base station within the preset time period based on the working status is achieved, thereby achieving the technical effect of determining the corresponding operating strategy and temperature control strategy based on the actual needs of the target base station within the preset time period, and thus solving the technical problem of energy waste caused by the fact that the power supply equipment and temperature control equipment of the base station in the prior art operate according to fixed parameters.

[0047] In addition, the power supply equipment, base station and temperature control equipment are operated according to different power and parameters in different time periods, and the number of access devices in the next time period is predicted based on the number of access devices in the current time period. This further enables the base station to operate and cool down according to different parameters in different time periods, with different numbers of access devices and processing requests. Compared with operation and cooling according to fixed parameters, this avoids energy waste and increases the environmental protection effect of the base station.

[0048] Moreover, through the solution provided in this application, it is possible to realize time-sharing and dynamic equipment control, find regularities in equipment access rates, and then build a prediction of the equipment intervention rate of the time-sharing system based on time periods, thereby achieving effective and reasonable control of the equipment power and temperature.

[0049] According to an embodiment of the present invention, there is provided a Figure 3 The base station control process shown in FIG. Figure 3 As shown, the process includes the following steps:

[0050] Step S302, obtaining access devices corresponding to the base station in different time periods;

[0051] Step S304: obtaining a device access rate in different time periods within the base station signal radiation area, where the device access rate is the ratio of the access devices to all devices within the radiation area;

[0052] Step S306, predicting the access device and base station operating parameters for the next time period based on the access device and base station operating parameters for the current time period;

[0053] Step S308: predicting the device access rate for the next time period based on the device access rate for the current time period;

[0054] Step S310: predicting device operating parameters and temperature parameters for the next period based on the access devices in the next period, the device access rate in the next period, device operating parameters, and the temperature parameters of the environment where the base station is located in the current period;

[0055] Step S312: setting an operation strategy and a temperature adjustment strategy for the base station according to the device operation parameters and temperature parameters of the next time period;

[0056] Step S314: executing the operation strategy and the temperature adjustment strategy.

[0057] Specifically, as an optional implementation method, when executing Figure 3 When the base station control process shown in is used, obtaining the device access rate in the base station signal radiation area at different time periods includes: obtaining all active devices in the signal radiation area at different time periods; obtaining devices connected to the base station from all active devices; and obtaining the device access rate in the base station signal radiation area at different time periods based on all active devices and devices connected to the base station.

[0058] In some embodiments of the present application, predicting the access device and base station operating parameters for the next time period based on the access device and base station operating parameters for the current time period includes: obtaining the processing request initiated by the access device for the current time period; obtaining the processing resources corresponding to the service request; and predicting the access device and base station operating parameters for the next time period based on the processing resources and base station operating parameters.

[0059] In some embodiments of the present application, predicting the device access rate of the next time period based on the device access rate of the current time period includes: predicting the active devices in the next time period; and calculating the device access rate of the next time period based on the active devices in the next time period and the device access rate of the current time period.

[0060] In some embodiments of the present application, predicting the device operating parameters and temperature parameters of the next time period based on the access devices in the next time period, the device access rate in the next time period, the device operating parameters, and the temperature parameters of the current time period of the environment where the base station is located includes: calculating the processing request for the next time period based on the access devices in the next time period and the device access rate in the next time period; calculating the device operating parameters for the next time period based on the processing request for the next time period and the device operating parameters; predicting the device operating temperature for the next time period based on the device operating parameters for the next time period; predicting the temperature parameters for the next time period based on the temperature parameters of the current time period of the environment where the base station is located and the device operating temperature.

[0061] In some embodiments of the present application, setting the base station's operating strategy and temperature adjustment strategy based on the equipment operating parameters and temperature parameters of the next time period includes: setting the base station's energy supply parameters based on the equipment operating parameters of the next time period so that the base station meets the equipment operating parameters under optimal energy consumption; and setting the temperature adjustment device based on the temperature parameters so that the equipment operating parameters are met under optimal energy consumption of the temperature adjustment device. Optionally, setting the base station's operating strategy and temperature adjustment strategy based on the equipment operating parameters and temperature parameters of the next time period includes: setting the base station's energy supply parameters based on the equipment operating parameters of the next time period so that the base station meets the equipment operating parameters under optimal energy consumption; and setting the temperature adjustment device based on the temperature parameters so that the equipment operating parameters are met under optimal energy consumption of the temperature adjustment device.

[0062] According to an embodiment of the present invention, there is provided a Figure 4 The base station control device shown. Figure 4It can be seen that the base station control device includes: a first processing module 40, used to determine the load index and environmental parameter index of the target base station within a preset time period, wherein the preset time period is a future time period; a calculation module 42, used to determine the working status of the target base station within the preset time period based on the load index and the environmental parameter index, wherein the working status includes the operating parameters of the target base station; a second processing module 44, used to determine the operating strategy and temperature control strategy of the target base station within the preset time period based on the working status and environmental parameter indicators; an execution module 46, used to execute the operating strategy and temperature control strategy within the preset time period.

[0063] It should be noted that Figure 4 The base station control device shown in FIG can be used to perform Figure 1 The base station control method shown in . Figure 1 The relevant explanations and descriptions of the base station control method shown in are also applicable to the embodiments of the present application and will not be repeated here.

[0064] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, the non-volatile storage medium including a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the following base station control method: determining the load index and environmental parameter index of the target base station within a preset time period, wherein the start time point of the preset time period is the end time point of the current time period; determining the working status of the target base station within the preset time period based on the load index and the environmental parameter index, wherein the working status includes the operating parameters of the target base station; determining the operating strategy and temperature control strategy of the target base station within the preset time period based on the operating status and the environmental parameter index; and executing the operating strategy and temperature control strategy within the preset time period.

[0065] According to another aspect of an embodiment of the present invention, an electronic device is provided, which includes a processor, and the processor is used to run a program, wherein the program executes the following base station control method when running: determining the load index and environmental parameter index of the target base station within a preset time period, wherein the start time point of the preset time period is the end time point of the current time period; determining the working status of the target base station within the preset time period based on the load index and the environmental parameter index, wherein the working status includes the operating parameters of the target base station; determining the operating strategy and temperature control strategy of the target base station within the preset time period based on the operating status and the environmental parameter index; and executing the operating strategy and temperature control strategy within the preset time period.

[0066] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0067] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0068] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0069] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0070] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0071] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A base station control method, characterized in that: include: Determining a load index and an environmental parameter index of a target base station within a preset time period, wherein the start time point of the preset time period is the end time point of the current time period, and the load index includes the number of access devices, which is the number of devices accessing the target base station within the preset time period; Determining the load index of the target base station within a preset time period includes: determining that the correlation coefficient between the current time period and the preset time period is a first correlation coefficient or a second correlation coefficient, wherein the first correlation coefficient is used to indicate that the load index similarity between the current time period and the preset time period is greater than the preset similarity, and the second correlation coefficient is used to indicate that the load index similarity between the current time period and the preset time period is not greater than the preset similarity; determining, based on the correlation coefficient, the number of active devices within the signal radiation area of ​​the target base station within the preset time period, wherein the active devices are the number of devices located within the signal radiation area; determining, based on the correlation coefficient, the device access rate of the target base station within the preset time period, wherein the device access rate is the ratio of the number of access devices to the number of active devices within the radiation area; determining the number of access devices based on the number of active devices and the device access rate; Determining the operating state of the target base station within the preset time period based on the load index and the environmental parameter index, wherein the operating state includes operating parameters of the target base station; Determining an operation strategy and a temperature control strategy for the target base station within the preset time period based on the working status and the environmental parameter indicators; The operation strategy and the temperature control strategy are executed within the preset time period.

2. The base station control method according to claim 1, wherein: Determining whether the correlation coefficient between the current time period and the preset time period is the first correlation coefficient or the second correlation coefficient includes: Determining the dwell time periods corresponding to different types of stay targets in the target time period, wherein the current time period and the preset time period are both within the target time period, and the stay targets include at least one of the following: consumption targets, office targets, life targets, and transportation targets; Determining a first overlap ratio between the current time period and the different types of dwell time periods, and determining a second overlap ratio between the preset time period and the different types of dwell time periods; When the current time period and the preset time period coincide with the same type of residence time period, and both the first coincidence ratio and the second coincidence ratio are greater than a preset ratio threshold, determining a correlation coefficient between the current time period and the preset time period as the first correlation coefficient; When the current time period and the preset time period do not overlap with the same type of residence time period, or when the first overlap ratio and the second overlap ratio have an overlap ratio that is not greater than a preset ratio threshold, the correlation coefficient is determined to be the second correlation coefficient.

3. The base station control method according to claim 1, wherein: Determining the number of active devices within the signal radiation area of ​​the target base station within the preset time period includes: When the correlation coefficient is the first correlation coefficient, determining the number of active devices in the current time period as the number of active devices in the preset time period; When the correlation coefficient is the second correlation coefficient, a historical time period is determined to have a first correlation relationship with the preset time period, and the number of active devices corresponding to the historical time period is determined to be the number of active devices corresponding to the preset time period.

4. The base station control method according to claim 1, wherein: Determining the device access rate of the target base station within the preset time period includes: When the correlation coefficient is the first correlation coefficient, determining the device access rate of the current time period as the device access rate of the preset time period; When the correlation coefficient is the second correlation coefficient, a historical time period having a first correlation relationship with the preset time period is determined, and a device access rate corresponding to the historical time period is determined to be the device access rate corresponding to the preset time period.

5. The base station control method according to claim 1, wherein: Before determining the load index and environmental parameter index of the target base station within a preset time period, the base station control method further includes: When it is determined that the change amplitude of the load index or operating parameter of the target base station in the current time period is greater than the preset amplitude threshold, the load index and operating parameter in the current time period are determined to be the load index and operating parameter in the preset time period, wherein the load index includes at least one of the following: the total amount of service request data, the total amount of access devices.

6. The base station control method according to claim 1, wherein: The operation strategy includes the energy supply parameters of the target base station, and the temperature control strategy includes the temperature control parameters of the target base station, wherein the energy supply parameters and the temperature control parameters are the respective working parameters of the energy supply device and the temperature control device in the target base station when the target base station meets the operation parameters under the optimal energy consumption ratio.

7. A base station control device, characterized in that: include: a first processing module, configured to determine a load index and an environmental parameter index of a target base station within a preset time period, wherein the start time point of the preset time period is the end time point of the current time period, and the load index includes the number of access devices, which is the number of devices accessing the target base station within the preset time period; Determining the load index of the target base station within a preset time period includes: determining that the correlation coefficient between the current time period and the preset time period is a first correlation coefficient or a second correlation coefficient, wherein the first correlation coefficient is used to indicate that the load index similarity between the current time period and the preset time period is greater than the preset similarity, and the second correlation coefficient is used to indicate that the load index similarity between the current time period and the preset time period is not greater than the preset similarity; determining, based on the correlation coefficient, the number of active devices within the signal radiation area of ​​the target base station within the preset time period, wherein the active devices are the number of devices located within the signal radiation area; determining, based on the correlation coefficient, the device access rate of the target base station within the preset time period, wherein the device access rate is the ratio of the number of access devices to the number of active devices within the radiation area; determining the number of access devices based on the number of active devices and the device access rate; a calculation module, configured to determine the operating state of the target base station within the preset time period based on the load index and the environmental parameter index, wherein the operating state includes operating parameters of the target base station; A second processing module is used to determine the operation strategy and temperature control strategy of the target base station within the preset time period according to the working status and the environmental parameter index; An execution module is used to execute the operation strategy and the temperature control strategy within the preset time period.

8. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute the base station control method according to any one of claims 1 to 6.

9. An electronic device comprising a processor, characterized in that: The processor is configured to run a program, wherein the base station control method according to any one of claims 1 to 6 is executed when the program is run.

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