CN114828042B - Base station system control method, device, equipment, base station system and storage medium - Google Patents

Abstract

The application provides a base station system control method, a device, equipment, a base station system and a storage medium, wherein the method comprises the following steps: acquiring the traffic of the base station wireless equipment, wherein the base station wireless equipment comprises 5G wireless equipment and 4G wireless equipment, and adjusting the energy-saving mode of the base station wireless equipment according to the traffic and an intelligent energy-saving strategy; after the energy-saving mode of the base station wireless equipment is adjusted, the number of power supply modules started by the base station matched equipment is adjusted according to the energy-saving mode and the historical power consumption information of the base station wireless equipment. The base station system control method, the device, the equipment, the base station system and the storage medium provided by the application can effectively reduce energy consumption, reduce resource waste and reduce operation and maintenance cost of the base station system.

Description

Base station system control method, device, equipment, base station system and storage medium

Technical Field

The present application relates to communication technology, and in particular to a base station system control method, device, equipment, base station system and storage medium.

Background technique

With the continuous development of communication technology and the popularization of wireless terminals, users' demand for wireless communication is growing. Operators are also vigorously promoting the construction of base station systems. How operators can effectively control and reduce network operating costs is the primary challenge and difficulty they face.

In some technologies, energy-saving strategies can be formulated for different traffic scenarios based on traffic monitoring. However, this method still has the problem of high energy consumption, resulting in waste of resources and high operation and maintenance costs of base station systems.

Summary of the invention

The main purpose of the present application is to provide a base station system control method, device, equipment, base station system and storage medium to solve the problems of high energy consumption and high cost in base station system operation and maintenance.

To achieve the above object, the present application provides a base station system control method, the base station system comprising a base station wireless device and a base station supporting device for powering the base station wireless device, the base station system control method comprising:

Acquire the traffic volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the traffic volume and the intelligent energy-saving strategy;

After adjusting the energy-saving mode of the base station wireless device, the number of power modules turned on by the base station supporting equipment is adjusted according to the energy-saving mode and the historical power consumption information of the base station wireless device.

In a possible implementation, adjusting the number of power modules turned on by the base station supporting equipment according to the energy-saving mode and the historical power consumption information of the base station wireless equipment includes:

Calculate the average power consumption of the base station wireless device in a current energy-saving mode during a preset historical period;

Calculate the number of power modules required to be turned on for the base station supporting equipment according to the average power consumption;

According to the difference between the number of power modules currently turned on in the base station supporting equipment and the calculated number, the base station supporting equipment is controlled to turn on or sleep a corresponding number of power modules, or to maintain the number of turned-on power modules unchanged.

In a possible implementation, the base station supporting equipment includes a battery; the power module is used to supply power to the base station wireless equipment and the battery; the battery is used to supply power to the base station wireless equipment; and according to the average power consumption, calculating the number of power modules that need to be turned on for the base station supporting equipment includes:

According to the average power consumption, calculating the corresponding load current;

The load current is added to the battery charging current, and the result is divided by the output current of a single power module and rounded up to obtain the required number of power modules;

Add one to the required quantity to obtain the number of power modules that need to be turned on for the base station supporting equipment.

In a possible implementation, the base station wireless device includes a 5G wireless device and a 4G wireless device; and the method further includes:

In response to the 5G wireless device being in the off state, monitoring the traffic volume of the 4G wireless device;

In response to the increase in the traffic volume of the 4G wireless device within a preset time being greater than a first preset threshold and the 5G user identifier being identified, predicting the number of power modules of the base station supporting equipment that need to be turned on after the 5G wireless device is turned on;

According to the prediction results, the corresponding number of power modules are controlled to turn on, and the 5G wireless device is turned on.

In one possible implementation, the number of power modules that need to be turned on in the base station supporting equipment after the 5G wireless device is turned on is predicted, including:

According to the growth rate of the business volume of the 4G wireless device within a preset time, and/or the number of identified 5G user identifiers, the number of power modules of the base station supporting equipment that need to be turned on after the 5G wireless device is turned on is predicted.

In a possible implementation, the base station wireless device includes a 5G wireless device and a 4G wireless device; acquiring the traffic volume of the base station wireless device, and adjusting the energy saving mode of the base station wireless device according to the traffic volume and the intelligent energy saving strategy, including:

Obtain the traffic volume of 5G wireless devices;

In response to the increase in the traffic volume of the 5G wireless device within a preset time being less than or equal to a second preset threshold, adjusting the energy saving mode of the 5G wireless device according to the traffic volume and the intelligent energy saving strategy;

According to the energy-saving mode and the historical power consumption information of the base station wireless device, the number of power modules turned on by the base station supporting equipment is adjusted, including: according to the total historical power consumption information of the 5G wireless device and the 4G wireless device and the energy-saving mode, the number of power modules turned on by the base station supporting equipment is adjusted.

In a possible implementation, the method further includes:

In response to an increase in the traffic volume of the 5G wireless device within a preset time being greater than a second preset threshold, readjusting the energy saving mode;

Monitor the power consumption information of the base station wireless device after the energy-saving mode is adjusted in real time, and calculate the number of power modules that need to be turned on currently based on the power consumption information obtained by real-time monitoring;

According to the number of power modules that currently need to be turned on, the number of power modules to be turned on and off in the base station supporting equipment is adjusted.

In a possible implementation, the method further includes:

In response to detecting that the power consumption information of the base station wireless device exceeds a preset proportion of the rated power consumption corresponding to the current business volume, the number of power modules that need to be turned on for the base station supporting equipment is newly calculated and the base station supporting equipment is adjusted.

The present application also provides a base station system control device, the base station system includes a base station wireless device and a base station supporting device for powering the base station wireless device, the device includes:

An acquisition module, used to acquire the traffic volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the traffic volume and an intelligent energy-saving strategy;

The adjustment module is used to adjust the number of power modules turned on by the base station supporting equipment according to the energy-saving mode and the historical power consumption information of the base station wireless equipment after adjusting the energy-saving mode of the base station wireless equipment.

The present application also provides a base station system, comprising: a base station wireless device, a base station supporting device for supplying power to the base station wireless device, a smart meter, a network management device, and a monitoring module;

The network management device is used to obtain the service volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the service volume and the intelligent energy-saving strategy;

The smart meter is used to determine the number of power modules of the base station supporting equipment that need to be turned on according to the energy-saving mode and the power consumption information of the base station wireless device after adjusting the energy-saving mode of the base station wireless device, and send it to the monitoring module;

The monitoring module is used to adjust the number of power modules turned on by the base station supporting equipment.

The present application also provides an electronic device, comprising: a processor, a memory and a computer program; wherein the computer program is stored in the memory and is configured to be executed by the processor, and the computer program includes instructions for executing any of the methods described above.

The present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement any of the methods described above.

In the present application, by obtaining the business volume of the base station wireless device, the base station wireless device includes a 5G wireless device and a 4G wireless device, and adjusting the energy-saving mode of the base station wireless device according to the business volume and the intelligent energy-saving strategy; after adjusting the energy-saving mode of the base station wireless device, according to the energy-saving mode and the historical power consumption information of the base station wireless device, the number of power modules turned on by the base station supporting equipment is adjusted, which can effectively reduce energy consumption, reduce resource waste, and reduce the operation and maintenance cost of the base station system.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

FIG1 is a schematic diagram of an application scenario provided by an embodiment of the present application;

FIG2 is a schematic diagram of a flow chart of a base station system control method provided in an embodiment of the present application;

FIG3 is a schematic diagram of selecting a power saving mode of a base station wireless device provided in an embodiment of the present application;

FIG4 is a schematic diagram of a flow chart of another base station system control method provided in an embodiment of the present application;

FIG5 is a schematic diagram of a process for adjusting the number of power modules provided in an embodiment of the present application;

FIG6 is a schematic flow chart of another base station system control method provided in an embodiment of the present application;

FIG7 is a schematic diagram of a flow chart of a dual-dimensional monitoring system provided in an embodiment of the present application;

FIG8 is a schematic diagram of the structure of a base station system control device provided in an embodiment of the present application;

FIG. 9 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

It should be noted that, in this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

In this application, "at least one" means one or more, and "plurality" means two or more. "And/or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and/or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character "/" generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple.

Faced with the country's promotion of wireless business and users' increasingly strong demand for wireless signals, operators have vigorously promoted the construction of 5G base stations. According to analysis, under the same station configuration and full load of business volume, the energy consumption of 5G base stations is about 3.5 times that of 4G base stations. In the past two years, the explosive growth in the number of 5G base stations has led to huge network operating costs for communication operators. On the one hand, the application of 5G technology is in its infancy, and the income and expenditure ratio of operators in the application of 5G technology is out of balance. On the other hand, the diversification of user structure has led operators to weigh the perceptions of different types of users. To ensure that different types of base stations are turned on at the same time, operators need to bear multiple types of network operating costs at the same time. The high cost of 5G base station construction and operation has always been a pain point in the industry. The biggest concerns are mainly in three aspects: the number of 5G base stations is much more than 4G; the power consumption of each base station is also much higher than that of 4G base stations; the price of each base station is also much higher than that of 4G base stations. The first two aspects are the main factors affecting energy consumption costs, and they are also the problems that operators are currently facing.

Compared with traditional 4G equipment, the 5G base station active antenna unit (AAU) supports 64 channels or 32 channels, and adds a large number of AAU, radio remote unit (RRU) and other devices, so the no-load power consumption of this type of equipment has been greatly increased. In some technologies, 5G base stations formulate energy-saving strategies for different traffic scenarios based on base station traffic monitoring, such as channel intelligent shutdown and symbol intelligent shutdown, so that the power consumption changes with the traffic of 5G base station wireless equipment. At present, most 5G base stations are built on existing 4G sites. Due to the high power consumption characteristics of 5G equipment, the supporting equipment of the base station needs to be upgraded synchronously, and the number of rectifier modules on the switching power supply also increases accordingly. Therefore, the increase in energy consumption of 5G equipment comes not only from the increase of wireless equipment such as AAU and baseband processing unit (Building Baseband Unit, BBU), but also from the increase in energy consumption caused by the increase in rectifier modules of base station supporting equipment. This problem can be solved by detecting the module load rate through the monitoring module in the switching power supply, and the rectifier modules in the high redundant operation state can be put into sleep mode to save energy.

The above methods have three problems. First, the energy-saving strategy of the base station is not linked: the wireless equipment of the base station only starts the energy-saving strategy based on the change of business volume to reduce the power consumption of the wireless equipment. The supporting equipment of the base station only monitors the load rate of the rectifier module through the monitoring module in the switching power supply, and starts and stops the rectifier module. The two are independent of each other, without linkage consideration, and the purpose of front-end and back-end integration and systematic energy saving of the base station wireless equipment and supporting equipment is not achieved. Second, the energy-saving strategy has no error correction mechanism: whether it is the wireless equipment of the base station or the supporting equipment of the base station, the energy-saving strategy is preset according to the monitoring results and according to the time period, and there is no error correction mechanism that can respond to sudden changes in business volume or equipment power consumption in real time. The preset energy-saving strategy cannot cope with sudden changes, resulting in a decrease in user perception. Third, the monitoring dimension is single: the wireless equipment of the base station only monitors the business volume through the integrated network management, and does not monitor the power consumption of the equipment. When the temperature changes, the power consumption of the wireless equipment of the base station changes due to the temperature, but the above method only implements the energy-saving strategy for the business volume, which makes the method not refined and accurate enough.

In order to solve this problem, an embodiment of the present application provides a base station system control method, which monitors the business volume of the base station wireless device and formulates a corresponding energy-saving strategy according to the business volume. The smart meter monitors the historical power consumption of the base station wireless device after energy saving, calculates the optimal power consumption requirement of the base station supporting equipment, and adjusts the number of rectifier modules in the base station supporting equipment, thereby realizing the linkage between the base station wireless device and the supporting equipment energy-saving strategy.

FIG1 is a schematic diagram of an application scenario provided by an embodiment of the present application. As shown in FIG1 , a 5G base station system may include a base station wireless device and a base station supporting device for powering the base station wireless device. The base station wireless device includes an AAU, a BBU, and an RRU. The base station supporting device includes a switching power supply, a rectifier module, and a direct current distribution unit (DCDU). The base station integrated network management monitors the traffic volume of the wireless device. The power consumption of each AAU, BBU, and RRU unit is monitored in real time by a smart meter, and the abnormal wireless device can be repaired or replaced in time according to the monitored power consumption. In addition, the total power consumption of the base station supporting equipment is also monitored by a separate smart meter, which is compared with the power consumption of the wireless device in real time, and the number of rectifier modules turned on by the base station supporting equipment is adjusted in time. The DCDU has multiple access points, which plays a role in voltage stabilization and can provide direct current for multiple AAU, BBU, and RRU units. The monitoring module monitors the overall operation of the base station wireless equipment and supporting equipment.

In the base station system control method, the base station integrated network management serves as a monitoring device to monitor the traffic of the base station wireless equipment, and then adjusts the energy-saving mode of the wireless equipment according to the traffic of the wireless equipment and the intelligent energy-saving strategy.

After turning on this energy-saving mode, the energy-saving mode and the historical power consumption information of the base station wireless equipment are obtained according to the smart meter, and the number of power modules that need to be turned on for the base station supporting equipment is calculated. According to the difference between the number of currently turned on power modules and the number of calculated power modules, the start and stop of the power modules are controlled. In this way, the linkage between energy-saving strategies and supporting equipment can be achieved. Based on the energy-saving mode and historical power consumption information, effective control of base station supporting equipment can be achieved, and the number of power modules can be controlled more accurately, thereby achieving the purpose of energy saving.

In addition, the embodiment of the present application can also adopt an error correction mechanism. When the growth rate of business volume in a certain period exceeds a preset threshold, it is necessary to readjust the energy-saving mode. According to the power consumption information obtained by real-time monitoring, the number of power modules is adjusted to the optimal number, which can not only meet the needs of different modes, but also reduce network operating costs and improve network operating value.

In the following, some embodiments of the present application are described in detail in conjunction with the accompanying drawings. In the case where there is no conflict between the embodiments, the following embodiments and the features in the embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

FIG2 is a flow chart of a base station system control method provided in an embodiment of the present application. As shown in FIG2, the base station system control method may include:

Step 201: Acquire the traffic volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the traffic volume and an intelligent energy-saving strategy.

Optionally, the base station wireless device may be a 5G base station device and/or a 4G base station device. The traffic may include flow, which may be monitored in real time through the base station integrated network management.

Optionally, the integrated network management can obtain the base station traffic data according to the base stations in different regions and the user's tidal usage habits. The traffic data of different time periods are compared and analyzed with the threshold value of the intelligent energy-saving strategy to implement the corresponding intelligent energy-saving strategy.

For example, the intelligent energy-saving strategy can be: if the traffic volume = 0, enable mode A: device shutdown; if the traffic volume < a, enable mode B: deep sleep; if a < traffic volume < b, enable mode C: symbol shutdown; if b < traffic volume < c, enable mode D: channel shutdown. Figure 3 is a schematic diagram of selecting a power-saving mode for a base station wireless device provided in an embodiment of the present application. As shown in Figure 3, different time periods correspond to different power-saving modes.

Step 202: After adjusting the energy-saving mode of the base station wireless device, adjust the number of power modules turned on by the base station supporting equipment according to the energy-saving mode and the historical power consumption information of the base station wireless device.

Optionally, the historical power consumption information of the base station wireless device may be the power consumption information of the base station wireless device in the past period of time, for example, the average power consumption or the maximum power consumption in the past 7 days and 24 hours. According to the energy-saving mode and the historical power consumption information, the optimal demand of the base station supporting equipment may be determined, and the optimal demand may refer to the number of power modules turned on by the base station supporting equipment.

The power module may be a rectifier module, which converts AC power into DC power to supply power to the base station wireless equipment.

In this embodiment, when determining the optimal demand of the base station supporting equipment, the historical power consumption information of the base station wireless equipment can be used as a basis. The historical power consumption information can guide the optimal demand so that the optimal demand meets the normal working needs of the base station wireless equipment. In addition, when determining the optimal demand, the energy-saving mode must also be considered. When the historical power consumption information of the past 7 days and 24 hours is fixed, the corresponding optimal demand may be different when the current time period is in a different energy-saving mode. In this way, the optimal demand can be determined through the deep combination of energy-saving mode and historical power consumption information, thereby improving the energy-saving effect.

The base station system control method provided in this embodiment can obtain the business volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the business volume and the intelligent energy-saving strategy; after adjusting the energy-saving mode of the base station wireless device, according to the energy-saving mode and the historical power consumption information of the base station wireless device, the number of power modules turned on by the base station supporting equipment is adjusted, so that energy-saving linkage between the base station wireless device and the base station supporting equipment can be achieved, and the optimal requirements of the base station supporting equipment are determined by combining the energy-saving mode and the historical power consumption information, so as to effectively reduce energy consumption, reduce resource waste, and reduce the operation and maintenance cost of the base station system.

Based on the technical solution provided in the above embodiment, optionally, the base station wireless device includes a 5G wireless device and a 4G wireless device; obtaining the service volume of the base station wireless device, and adjusting the energy saving mode of the base station wireless device according to the service volume and the intelligent energy saving strategy may also include:

Obtain the traffic volume of 5G wireless devices;

In response to the increase in the business volume of the 5G wireless device within a preset time being less than or equal to a second preset threshold, the energy saving mode of the 5G wireless device is adjusted according to the business volume and the intelligent energy saving strategy.

The preset time can be set according to actual needs, for example, it can be 1 hour.

FIG4 is a flow chart of another base station system control method provided in an embodiment of the present application. As shown in FIG4, the service volume of the 5G wireless device is first obtained through the base station integrated network management. If the growth rate of the service volume of the 5G wireless device within the preset time is ≤ the second preset threshold x2, for example, the growth rate of the service volume of the 5G wireless device within 24 hours is ≤ 10%, in order to avoid unnecessary waste, it is necessary to adjust the energy-saving mode of the 5G wireless device according to the service volume and the intelligent energy-saving strategy. Among them, the specific adjustment method of the intelligent energy-saving strategy can refer to step 201, which will not be repeated here.

Optionally, adjusting the number of power modules turned on by the base station supporting equipment according to the energy-saving mode and the historical power consumption information of the base station wireless device may include: adjusting the number of power modules turned on by the base station supporting equipment according to the total historical power consumption information of the 5G wireless device and the 4G wireless device and the energy-saving mode.

The specific adjustment method of the number of power modules that need to be turned on for the base station supporting equipment can refer to the technical solutions of other embodiments, which will not be repeated here. However, it should be noted that the historical power consumption information in this embodiment is the total historical power consumption information of 5G wireless devices and 4G wireless devices.

In actual applications, the traffic volume of 5G wireless devices often fluctuates greatly. By judging whether the growth rate of the traffic volume of 5G wireless devices within a preset time is less than or equal to the second preset threshold, and determining the energy-saving mode according to the judgment result, the 5G wireless devices can be adjusted according to the preset energy-saving strategy when there is no sudden change in the traffic volume, thereby ensuring the normal operation of the 5G wireless devices. In addition, when determining the number of power modules to be turned on, it can be determined based on the power consumption of 4G and 5G devices to meet the overall operation requirements of the base station system.

Optionally, in specific applications, the rectifier module can adopt a polling call mode. Specifically, when adjusting the rectifier modules to be turned on, the rectifier modules can be turned on in turn in a polling manner to avoid turning on the same rectifier module every time, which can also greatly improve the utilization efficiency of the rectifier module and extend the life of the rectifier module.

In one or more embodiments of the present application, optionally, the base station supporting equipment includes a storage battery; the power module is used to supply power to the base station wireless device and the storage battery; the storage battery is used to supply power to the base station wireless device. In the case where the base station supporting equipment includes a storage battery and a power module, the number of power modules can be adjusted in the following manner.

Optionally, the number of power modules turned on in the base station supporting equipment is adjusted according to the energy-saving mode and the historical power consumption information of the base station wireless device, including: calculating the average power consumption of the base station wireless device when it is in the current energy-saving mode within a preset historical period; calculating the number of power modules that need to be turned on in the base station supporting equipment according to the average power consumption; and controlling the base station supporting equipment to turn on or sleep a corresponding number of power modules, or maintaining the number of turned-on power modules unchanged, according to the difference between the number of power modules currently turned on in the base station supporting equipment and the calculated number.

As shown in FIG4 , calculating the 7-day 24-hour average base station power consumption may refer to calculating the average power consumption of the base station when it was in the current mode within the past 7 days and 24 hours. For example, if the current mode is switched to energy-saving mode A, the average power consumption in mode A for the past 7 days may be obtained and calculated through the smart meter, and the average value is 0 W; if the current mode is switched to energy-saving mode B, the average power consumption in mode B for the past 7 days may be obtained and calculated through the smart meter, and the average value is 2000 W; if the current mode is switched to energy-saving mode C, the average power consumption in mode C for the past 7 days may be obtained and calculated through the smart meter, and the average value is 4000 W; if the current mode is switched to energy-saving mode D, the average power consumption in mode D for the past 7 days may be obtained and calculated through the smart meter, and the average value is 7000 W.

According to the average power consumption in each mode, the number of rectifier modules that need to be turned on in each mode is calculated. For example, according to mode A, the average power consumption is 0W, and the number of power modules that need to be turned on for the final base station supporting equipment is 3; according to mode B, the average power consumption is 2000W, and the number of power modules that need to be turned on for the final base station supporting equipment is 4; according to mode C, the average power consumption is 4000W, and the number of power modules that need to be turned on for the final base station supporting equipment is 5; according to mode D, the average power consumption is 7000W, and the number of power modules that need to be turned on for the final base station supporting equipment is 6.

Then, according to the difference between the number of power modules currently turned on in the base station supporting equipment and the calculated number, the base station supporting equipment is controlled to turn on or sleep a corresponding number of power modules, or to maintain the number of turned-on power modules unchanged.

According to the average power consumption in the above different modes, the optimal demand of the base station supporting equipment has been calculated. Optionally, the smart meter transmits the above calculation results back to the monitoring module, and the number of rectifier modules enabled in the switching power supply is adjusted through the monitoring module. If the current number of rectifier modules is less than the required number, the additional rectifier modules are turned on according to the required number; if the current number of rectifier modules is equal to the required number, the number of rectifier modules remains unchanged; if the current number of rectifier modules is greater than the required number, the redundant rectifier modules are put into hibernation to achieve energy saving. Assuming that the number of rectifier modules currently turned on is 5, in mode A, the optimal demand is 3, then 2 rectifier modules need to be put into hibernation; in mode B, the optimal demand is 4, then 1 rectifier module needs to be put into hibernation; in mode C, the optimal demand is 5, then the number of rectifier modules remains unchanged; in mode D, the optimal demand is 6, then an additional rectifier module needs to be turned on.

Therefore, by adjusting the number of power modules turned on by the base station supporting equipment through this method, precise energy saving can be achieved and unnecessary waste can be avoided.

FIG5 is a schematic diagram of a flow chart of adjusting the number of power modules provided in an embodiment of the present application. As shown in FIG5 , calculating the number of power modules to be turned on for the base station supporting equipment according to the average power consumption may include:

Step 501: Calculate the corresponding load current according to the average power consumption.

The load current may be equal to the average power consumption divided by the voltage value output to the base station wireless device.

Step 502: Add the load current and the battery charging current and divide the result by the output current of a single power module and round up to obtain the required number of power modules.

Optionally, the load current is added to the battery charging current to obtain the sum of the output currents of the required power modules, which is then divided by the output current of a single unit module to obtain the corresponding required quantity.

Step 503: Add one to the required quantity N to obtain the quantity N+1 of power modules that need to be turned on for the base station supporting equipment.

Table 1 is an example of a method for calculating the number of rectifier modules that need to be turned on for the base station supporting equipment provided in this embodiment.

Table 1 Example of calculation method for the number of rectifier modules

As shown in Table 1, the average power consumption of the base station supporting equipment is 5000W, the voltage of the DC power distribution unit is 48V, and the load current is 5000/48=104A. The battery pack capacity is 800AH. Taking 10 hours of floating charge as an example, the battery charging current is 800/10=80A. If the output current of a single rectifier module is 50A, the required number of power modules N is (104+80)/50=4. The value of N+1 is 4+1=5, which is the final number of modules required.

Through the above calculation method, the output of the power module can meet the use requirements of the base station wireless equipment and the battery, improve the stability of the base station system, and determine that the final number of modules required is N+1, which can avoid the paralysis of the base station due to accidental accidents or sudden damage to the power module, and meet the normal operation of the battery and the base station wireless equipment.

In one or more embodiments of the present application, optionally, in the case that the base station wireless device includes a 5G wireless device and a 4G wireless device, the method further includes: in response to the 5G wireless device being in an off state, monitoring the business volume of the 4G wireless device; in response to the business volume of the 4G wireless device increasing by more than a first preset threshold within a preset time and identifying a 5G user identifier, predicting the number of power modules that need to be turned on for the base station supporting equipment after the 5G wireless device is turned on; and according to the prediction result, controlling a corresponding number of power modules to be turned on, and turning on the 5G wireless device.

FIG6 is a flow chart of another base station system control method provided by an embodiment of the present application. As shown in FIG6, if the current 5G wireless device is in the off state, the condition for turning on the 5G wireless device may be that the traffic of the 4G wireless device is monitored to increase by more than the first preset threshold x1 within a certain period of time, and it is identified that a user with a 5G wireless device is connected to the base station. At this time, turning on only the 4G wireless device can no longer meet the business volume requirements of the 5G wireless device customers, so the 5G wireless device can be turned on. Then, before turning on the 5G wireless device, the number of power modules that need to be turned on for the base station supporting equipment after the 5G wireless device is turned on can be predicted.

Optionally, the number of power modules turned on can be predicted based on the number of power modules turned on by the base station supporting equipment in the specific historical mode, and the 5G wireless device can be turned on. For example, if the number of power modules turned on in the history is 3 when in mode A, the number of power modules turned on is controlled to be 3, and the 5G wireless device is turned on; if the number of power modules turned on in the history is 4 when in mode B, the number of power modules turned on is controlled to be 4, and the 5G wireless device is turned on; if the number of power modules turned on in the history is 5 when in mode C, the number of power modules turned on is controlled to be 5, and the 5G wireless device is turned on; if the number of power modules turned on in the history is 6 when in mode D, the number of power modules turned on is controlled to be 6, and the 5G wireless device is turned on.

In this way, through the growth rate of 4G wireless device business volume and 5G user identification, it is possible to determine more quickly and accurately whether the 5G wireless device needs to be turned on, and control the corresponding number of power modules to be turned on based on the prediction results. This can not only meet the needs of 5G users, but also ensure the normal operation of base station wireless equipment and improve the user experience of the base station.

On the basis of the technical solution provided in the above embodiment, optionally, predicting the number of power modules of the base station supporting equipment that need to be turned on after the 5G wireless device is turned on includes:

According to the growth rate of the business volume of the 4G wireless device within a preset time, and/or the number of identified 5G user identifiers, the number of power modules of the base station supporting equipment that need to be turned on after the 5G wireless device is turned on is predicted.

In one example, the growth rate of the service volume of the 4G wireless device within a preset time may be positively correlated with the number of power modules that need to be turned on. The greater the growth rate of the 4G wireless device, the more power modules can be added to meet the working needs of the 4G wireless device.

In another example, the number of identified 5G user identifiers and the number of power modules that need to be turned on may also be positively correlated. The more 5G users are identified, the more 5G wireless devices may need to be turned on, and thus the more power modules can be added to ensure the usage needs of 5G users.

In another example, the number of power modules that need to be turned on can be jointly predicted based on the growth rate of the traffic of 4G wireless devices and the number of identified 5G users.

Optionally, a correspondence table can be prepared based on historical data, and the correspondence table can include the correspondence between the growth rate of the business volume of the 4G wireless device, the number of identified 5G users, and the number of power modules that need to be turned on. In actual use, the corresponding number of power modules can be found through the correspondence table according to the growth rate of the business volume of the 4G wireless device within a preset time and the number of identified 5G user identifiers.

In this embodiment, based on the 4G wireless device and the 5G user situation, when the 5G wireless device is not turned on, the number of power modules of the base station supporting equipment that need to be turned on after the 5G wireless device is turned on can be predicted, so that after the 5G wireless device is turned on, the power module can meet the actual usage requirements of the base station system, and provide power supply guarantee for the normal startup of the 5G wireless device and the normal processing of the business.

Based on the technical solution provided in the above embodiment, optionally, the method may also include: in response to the increase in the business volume of the 5G wireless device within the preset time being greater than a second preset threshold, readjusting the energy-saving mode; real-time monitoring of the power consumption information of the base station wireless device after the energy-saving mode is adjusted, and calculating the number of power modules that currently need to be turned on based on the power consumption information obtained from real-time monitoring; and adjusting the number of power modules in the base station supporting equipment to be started and stopped based on the number of power modules that currently need to be turned on.

As shown in Figure 6, when the 5G wireless device is not turned off, the business volume of the 5G wireless device is monitored in real time through the integrated network management. When the 5G business volume suddenly changes, when the integrated network management monitors that the growth rate of the 5G business volume within the preset time is greater than x2, it is necessary to readjust the energy-saving mode. The number of rectifier modules turned on in the current mode may no longer meet the increase in energy consumption caused by the sudden increase in 5G business volume. It is necessary to re-determine the energy-saving mode that should be turned on based on the business volume. Among them, the specific adjustment method of the intelligent energy-saving strategy can refer to step 201, which will not be repeated here. However, it should be distinguished that the business volume is greater than 0 at this time, and mode A will not appear.

Then, the power consumption information of the base station wireless device after the energy-saving mode is adjusted is monitored in real time, and the number of power modules that need to be turned on is calculated based on the power consumption information obtained from real-time monitoring, and the number of start and stop power modules in the base station supporting equipment is adjusted based on the number of power modules that need to be turned on.

Due to the sudden increase in 5G business volume, it is necessary to readjust the energy-saving strategy and monitor the power consumption of base station wireless equipment in real time through smart meters after the energy-saving strategy is adjusted, calculate the optimal demand of base station supporting equipment, and adjust the start and stop number of rectifier modules of base station supporting equipment simultaneously. Real-time monitoring of the power consumption of base station wireless equipment is because the increase in the business volume of 5G wireless equipment may decrease in a certain period of time. Real-time monitoring can timely adjust the energy-saving mode and the number of power modules in base station supporting equipment when the business volume growth rate decreases.

Through the above method, it can not only meet the needs of current wireless devices, but also improve the accuracy of controlling the number of start and stop of rectifier modules, meet the use needs under sudden changes in business volume, realize the error correction mechanism, and ensure that user perception is not affected. In practical applications, the method in this embodiment can cover the business volume scenarios of different base stations in different regions, and realize the linkage activation of energy-saving strategies of base station wireless devices and supporting equipment by dynamically adjusting the energy-saving strategy, so as to achieve green energy saving, reduce costs and increase efficiency, and optimize the power usage efficiency (PUE).

In this embodiment, the method for calculating the number of rectifier modules in the base station supporting equipment and adjusting the number of rectifier modules can refer to the above-mentioned embodiment and will not be repeated here.

On the basis of the technical solutions provided in the above embodiments, optionally, the method for energy saving of a base station wireless device further includes:

In response to detecting that the power consumption information of the base station wireless device exceeds a preset proportion of the rated power consumption corresponding to the current business volume, the number of power modules that need to be turned on in the base station supporting equipment is recalculated and the base station supporting equipment is adjusted.

In this embodiment, in addition to adjusting the optimal demand of the power module based on the energy-saving mode, it can also be adjusted according to the current power consumption of the base station wireless device to achieve dual-dimensional monitoring.

FIG7 is a flow chart of a two-dimensional monitoring system provided by an embodiment of the present application. As shown in FIG7, the integrated network management monitors the base station business volume, and the smart meter monitors the power consumption of the base station wireless equipment. When the base station business volume changes, the energy-saving strategy is implemented according to the energy-saving linkage mode of the base station wireless equipment and the supporting equipment in the aforementioned embodiment. When the base station business volume has no obvious change, if it is detected that the power consumption of the base station wireless equipment is lower than 10% of the rated power consumption of the current business load, the business volume change of the base station wireless equipment will continue to be monitored; if it is detected that the power consumption of the base station wireless equipment is greater than or equal to 10% of the rated power consumption of the current business load, the smart meter will immediately re-evaluate the optimal demand of the base station supporting equipment, and adjust the start and stop quantity of the rectifier module of the base station supporting equipment according to the evaluation results. The specific adjustment method refers to the aforementioned embodiment and will not be repeated here.

Optionally, the standards for whether the traffic volume has changed or not can be set according to actual needs. For example, if the traffic volume change does not exceed a certain range, it can be considered as no change, otherwise it is considered as a change. The range can be set by the operation and maintenance personnel.

This embodiment can monitor the power consumption of the equipment in real time, cooperate with the business volume monitoring, formulate energy-saving strategies more accurately, and realize two-dimensional monitoring of base station business volume and power consumption, which solves the problem that the formulated energy-saving strategies have deviations and the error correction mechanism cannot be implemented due to irregular changes in equipment power consumption caused by uncontrollable factors (such as weather temperature changes).

Optionally, the execution subject of the method in this embodiment can be set according to actual needs. For example, monitoring power consumption and calculating the optimal demand can be achieved through a smart meter in the base station system, and adjusting the turned-on power module can be achieved through a monitoring module; or, the monitoring module can also prohibit the calculation of the optimal demand according to the power consumption monitored by the smart meter, and this embodiment does not limit this.

FIG8 is a schematic diagram of the structure of a base station system control device provided in an embodiment of the present application. As shown in FIG8 , the system control device may include:

An acquisition module 801 is used to acquire the traffic volume of the base station wireless device, and adjust the energy saving mode of the base station wireless device according to the traffic volume and the intelligent energy saving strategy;

The adjustment module 802 is used to adjust the number of power modules turned on by the base station supporting equipment according to the energy-saving mode and the historical power consumption information of the base station wireless device after adjusting the energy-saving mode of the base station wireless device.

Based on the technical solutions provided in the above embodiments, optionally, the adjustment module 802 is specifically used to:

Calculate the average power consumption of the base station wireless device in a current energy-saving mode during a preset historical period;

Calculate the number of power modules required to be turned on for the base station supporting equipment according to the average power consumption;

According to the difference between the number of power modules currently turned on in the base station supporting equipment and the calculated number, the base station supporting equipment is controlled to turn on or sleep a corresponding number of power modules, or to maintain the number of turned-on power modules unchanged.

On the basis of the technical solutions provided in the above embodiments, optionally, the base station supporting equipment includes a battery; the power module is used to power the base station wireless device and the battery; the battery is used to power the base station wireless device; when the adjustment module 802 calculates the number of power modules that need to be turned on for the base station supporting equipment according to the average power consumption, it is specifically used to:

According to the average power consumption, calculating the corresponding load current;

The load current is added to the battery charging current, and the result is divided by the output current of a single power module and rounded up to obtain the required number of power modules;

Add one to the required quantity to obtain the number of power modules that need to be turned on for the base station supporting equipment.

On the basis of the technical solutions provided in the above embodiments, optionally, the base station wireless device includes a 5G wireless device and a 4G wireless device; and the acquisition module 801 is further used for:

In response to the 5G wireless device being in the off state, monitoring the traffic volume of the 4G wireless device;

In response to the increase in the traffic volume of the 4G wireless device within a preset time being greater than a first preset threshold and the 5G user identifier being identified, predicting the number of power modules of the base station supporting equipment that need to be turned on after the 5G wireless device is turned on;

According to the prediction results, the corresponding number of power modules are controlled to turn on, and the 5G wireless device is turned on.

On the basis of the technical solutions provided in the above embodiments, optionally, when predicting the number of power modules that need to be turned on for the base station supporting equipment after the 5G wireless device is turned on, the acquisition module 801 is specifically used to:

According to the growth rate of the business volume of the 4G wireless device within a preset time, and/or the number of identified 5G user identifiers, the number of power modules of the base station supporting equipment that need to be turned on after the 5G wireless device is turned on is predicted.

On the basis of the technical solutions provided in the above embodiments, optionally, the base station wireless device includes a 5G wireless device and a 4G wireless device; and the acquisition module 801 is specifically used for:

Obtain the traffic volume of 5G wireless devices;

In response to the increase in the traffic volume of the 5G wireless device within a preset time being less than or equal to a second preset threshold, adjusting the energy saving mode of the 5G wireless device according to the traffic volume and the intelligent energy saving strategy;

According to the energy-saving mode and the historical power consumption information of the base station wireless device, the number of power modules turned on by the base station supporting equipment is adjusted, including: according to the total power consumption information of the 5G wireless device and the 4G wireless device and the energy-saving mode, the number of power modules turned on by the base station supporting equipment is adjusted.

Based on the technical solutions provided in the above embodiments, optionally, the adjustment module 802 is further used to:

In response to an increase in the traffic volume of the 5G wireless device within a preset time being greater than a second preset threshold, readjusting the energy saving mode;

Monitor the power consumption information of the base station wireless device after the energy-saving mode is adjusted in real time, and calculate the number of power modules that need to be turned on currently based on the power consumption information obtained by real-time monitoring;

According to the number of power modules that currently need to be turned on, the number of power modules to be turned on and off in the base station supporting equipment is adjusted.

Based on the technical solutions provided in the above embodiments, optionally, the adjustment module 802 is further used to:

In response to detecting that the power consumption information of the base station wireless device exceeds a preset proportion of the rated power consumption corresponding to the current business volume, the number of power modules that need to be turned on in the base station supporting equipment is recalculated and the base station supporting equipment is adjusted.

The present application also provides a base station system, which may include: a base station wireless device, a base station supporting device for supplying power to the base station wireless device, a smart meter, a network management device, and a monitoring module;

The network management device is used to obtain the service volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the service volume and the intelligent energy-saving strategy;

The smart meter is used to determine the number of power modules of the base station supporting equipment that need to be turned on according to the energy-saving mode and the power consumption information of the base station wireless device after adjusting the energy-saving mode of the base station wireless device, and send it to the monitoring module;

The monitoring module is used to adjust the number of power modules turned on by the base station supporting equipment.

In this embodiment, the functions and implementation principles of each part of the base station system can be found in the above-mentioned embodiments and will not be described again here.

FIG9 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. As shown in FIG9 , the electronic device of this embodiment may include:

A processor 901, a memory 902 and a computer program; wherein the computer program is stored in the memory 902 and is configured to be executed by the processor 901, and the computer program includes instructions for executing the method described in any one of the above embodiments.

The implementation principle and technical effects of the electronic device provided in this embodiment can be found in the aforementioned embodiments and will not be described in detail here.

In addition, the present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the method described in any one of the above embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application.

It should be understood that the above-mentioned processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the application can be directly embodied as being executed by a hardware processor, or can be executed by a combination of hardware and software modules in the processor. The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and can also be a USB flash drive, a mobile hard disk, a read-only memory, a disk or an optical disk, etc.

The above storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special purpose computer.

An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in an electronic device or a main control device.

The order of the above embodiments of the present application is for description only and does not represent the advantages or disadvantages of the embodiments.

Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims (12)

1. A base station system control method, characterized in that the base station system includes a base station wireless device and a base station supporting device for powering the base station wireless device, the method comprising: Acquire the traffic volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the traffic volume and the intelligent energy-saving strategy; After adjusting the energy-saving mode of the base station wireless device, adjusting the number of power modules turned on by the base station supporting device according to the energy-saving mode and the historical power consumption information of the base station wireless device; The base station wireless device includes a 5G wireless device and a 4G wireless device; the method further includes: In response to the 5G wireless device being in the off state, monitoring the traffic volume of the 4G wireless device; In response to the increase in the traffic volume of the 4G wireless device within a preset time being greater than a first preset threshold and the 5G user identifier being identified, after the 5G wireless device is turned on, the number of power modules that need to be turned on is predicted based on the number of power modules turned on by the base station supporting equipment in a historical specific mode; According to the prediction results, the corresponding number of power modules are controlled to turn on, and the 5G wireless device is turned on. 2. The method according to claim 1, characterized in that adjusting the number of power modules turned on by the base station supporting equipment according to the energy-saving mode and the historical power consumption information of the base station wireless equipment comprises: Calculate the average power consumption of the base station wireless device in a current energy-saving mode during a preset historical period; Calculate the number of power modules required to be turned on for the base station supporting equipment according to the average power consumption; According to the difference between the number of power modules currently turned on in the base station supporting equipment and the calculated number, the base station supporting equipment is controlled to turn on or sleep a corresponding number of power modules, or to maintain the number of turned-on power modules unchanged. 3. The method according to claim 2, characterized in that the base station supporting equipment includes a battery; the power module is used to supply power to the base station wireless equipment and the battery; the battery is used to supply power to the base station wireless equipment; and according to the average power consumption, calculating the number of power modules that need to be turned on for the base station supporting equipment comprises: According to the average power consumption, calculating the corresponding load current; The load current is added to the battery charging current, and the result is divided by the output current of a single power module and rounded up to obtain the required number of power modules; Add one to the required quantity to obtain the number of power modules that need to be turned on for the base station supporting equipment. 4. The method according to claim 1, characterized in that predicting the number of power modules to be turned on according to the number of power modules turned on by the base station supporting equipment in the historical specific mode comprises: According to the growth rate of the business volume of the 4G wireless device within a preset time, and/or the number of identified 5G user identifiers, the number of power modules of the base station supporting equipment that need to be turned on after the 5G wireless device is turned on is predicted. 5. The method according to claim 1, wherein the base station wireless device comprises a 5G wireless device and a 4G wireless device; obtaining the traffic volume of the base station wireless device, and adjusting the energy saving mode of the base station wireless device according to the traffic volume and the intelligent energy saving strategy, comprising: Obtain the traffic volume of 5G wireless devices; In response to an increase in the traffic volume of the 5G wireless device within a preset time being less than or equal to a second preset threshold, adjusting the energy saving mode of the 5G wireless device according to the traffic volume and an intelligent energy saving strategy; According to the energy-saving mode and the historical power consumption information of the base station wireless device, the number of power modules turned on by the base station supporting equipment is adjusted, including: according to the total historical power consumption information of the 5G wireless device and the 4G wireless device and the energy-saving mode, the number of power modules turned on by the base station supporting equipment is adjusted. 6. The method according to claim 5, characterized in that the method further comprises: In response to an increase in the traffic volume of the 5G wireless device within a preset time being greater than a second preset threshold, readjusting the energy saving mode; Monitor the power consumption information of the base station wireless device after the energy-saving mode is adjusted in real time, and calculate the number of power modules that need to be turned on currently based on the power consumption information obtained by real-time monitoring; According to the number of power modules that currently need to be turned on, the number of power modules to be turned on and off in the base station supporting equipment is adjusted. 7. The method according to any one of claims 1 to 6, characterized in that the method further comprises: In response to detecting that the power consumption information of the base station wireless device exceeds a preset proportion of the rated power consumption corresponding to the current business volume, the number of power modules that need to be turned on in the base station supporting equipment is recalculated and the base station supporting equipment is adjusted. 8. A base station system control device, characterized in that the base station system includes a base station wireless device and a base station supporting device for supplying power to the base station wireless device, and the device includes: An acquisition module, used to acquire the traffic volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the traffic volume and an intelligent energy-saving strategy; An adjustment module, configured to adjust the number of power modules turned on by the base station supporting equipment according to the energy-saving mode and the historical power consumption information of the base station wireless equipment after adjusting the energy-saving mode of the base station wireless equipment; The base station wireless device includes a 5G wireless device and a 4G wireless device; the acquisition module is also used for: In response to the 5G wireless device being in the off state, monitoring the traffic volume of the 4G wireless device; In response to the increase in the traffic volume of the 4G wireless device within a preset time being greater than a first preset threshold and the 5G user identifier being identified, after the 5G wireless device is turned on, the number of power modules that need to be turned on is predicted based on the number of power modules turned on by the base station supporting equipment in a historical specific mode; According to the prediction results, the corresponding number of power modules are controlled to turn on, and the 5G wireless device is turned on. 9. A base station system, characterized in that it comprises: a base station wireless device, a base station supporting device for supplying power to the base station wireless device, a smart meter, a network management device and a monitoring module; The network management device is used to obtain the service volume of the base station wireless device, and adjust the energy-saving mode of the base station wireless device according to the service volume and the intelligent energy-saving strategy; The smart meter is used to determine the number of power modules of the base station supporting equipment that need to be turned on according to the energy-saving mode and the power consumption information of the base station wireless device after adjusting the energy-saving mode of the base station wireless device, and send it to the monitoring module; The monitoring module is used to adjust the number of power modules turned on by the base station supporting equipment; The base station wireless device includes a 5G wireless device and a 4G wireless device; the network management device is also used for: In response to the 5G wireless device being in the off state, monitoring the traffic volume of the 4G wireless device; In response to the increase in the traffic volume of the 4G wireless device within a preset time being greater than a first preset threshold and the 5G user identifier being identified, after the 5G wireless device is turned on, the number of power modules that need to be turned on is predicted based on the number of power modules turned on by the base station supporting equipment in a historical specific mode; According to the prediction results, the corresponding number of power modules are controlled to turn on, and the 5G wireless device is turned on. 10. An electronic device comprising: a processor, a memory and a computer program; wherein the computer program is stored in the memory and is configured to be executed by the processor, and the computer program includes instructions for executing the method as claimed in any one of claims 1 to 7. 11. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method according to any one of claims 1 to 7. 12. A computer program product, comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.