CN114828042A

CN114828042A - Base station system control method, device, equipment, base station system and storage medium

Info

Publication number: CN114828042A
Application number: CN202210360395.0A
Authority: CN
Inventors: 张俊新; 原振升; 何人鑫; 周丹; 陈勇; 邓玲; 李兆奇; 何小婵; 陈卓军; 罗璇
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-04-07
Filing date: 2022-04-07
Publication date: 2022-07-29

Abstract

The application provides a method, a device, equipment, a base station system and a storage medium for controlling the base station system, 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 the power supply modules started by the base station corollary 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 base station system control device, the base station system control equipment, the base station system and the storage medium 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 communications technologies, and in particular, to a method, an apparatus, a device, a base station system, and a storage medium for controlling a base station system.

Background

With the continuous development of communication technology and the popularization of wireless terminals, the demand of users for wireless communication is increasing. Operators are also strongly pushing the construction of base station systems. How operators effectively manage and control network operation cost and reduce pressure is a challenge and a difficult problem which are mainly faced at present.

In some techniques, energy saving strategies may be formulated for different traffic scenarios based on traffic monitoring. However, the method still has the problem of high energy consumption, which leads to resource waste and high operation and maintenance cost of the base station system.

Disclosure of Invention

The present application mainly aims to provide a method, an apparatus, a device, a base station system and a storage medium for controlling a base station system, so as to solve the problems of high operation and maintenance energy consumption and high cost of the base station system.

In order to achieve the above object, the present application provides a base station system control method, where 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 base station system control method includes:

acquiring the traffic of the base station 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 the power supply modules started by the base station corollary equipment is adjusted according to the energy-saving mode and the historical power consumption information of the base station wireless equipment.

In one possible implementation manner, adjusting the number of power modules turned on by the base station accessory device according to the energy saving mode and the historical power consumption information of the base station wireless device includes:

calculating the average power consumption of the base station wireless equipment in the current energy-saving mode in a preset historical period;

calculating the number of power modules required to be started by the base station corollary equipment according to the average power consumption;

and controlling the base station corollary equipment to start or sleep the power modules with the corresponding number or keeping the number of the started power modules unchanged according to the number of the currently started power modules in the base station corollary equipment and the difference value between the calculated numbers.

In one possible implementation manner, the base station supporting device includes a storage battery; the power supply module is used for supplying power to the base station wireless equipment and the storage battery; the storage battery is used for supplying power to the base station wireless equipment; calculating the number of power modules needing to be started by the base station corollary equipment according to the average power consumption, wherein the calculation comprises the following steps:

calculating corresponding load current according to the average power consumption;

adding the load current and the charging current of the storage battery, dividing the added load current by the output current of a single power module, and rounding up to obtain the required number of the power modules;

and adding one to the required number to obtain the number of the power modules which need to be started by the base station corollary equipment.

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

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

in response to that the increase amplitude of the traffic of the 4G wireless equipment in a preset time is larger than a first preset threshold value and a 5G user identifier is recognized, predicting the number of power modules needing to be started by the base station corollary equipment after the 5G wireless equipment is started;

and controlling the power modules of corresponding quantity to be started according to the prediction result, and starting the 5G wireless equipment.

In a possible implementation manner, predicting the number of power modules to be turned on by the base station supporting device after the 5G wireless device is turned on includes:

and predicting the number of power modules to be started of the base station corollary equipment after the 5G wireless equipment is started according to the increase amplitude of the traffic of the 4G wireless equipment in the preset time and/or the number of the recognized 5G user identifications.

In one possible implementation, the base station wireless device includes a 5G wireless device and a 4G wireless device; acquiring the traffic of the base station wireless equipment, and adjusting the energy-saving mode of the base station wireless equipment according to the traffic and the intelligent energy-saving strategy, wherein the method comprises the following steps:

acquiring the traffic of the 5G wireless equipment;

responding to the fact that the increase amplitude of the traffic of the 5G wireless equipment in the preset time is smaller than or equal to a second preset threshold value, and adjusting the energy-saving mode of the 5G wireless equipment according to the traffic and the intelligent energy-saving strategy;

adjusting the number of power modules started by the base station corollary equipment according to the energy-saving mode and the historical power consumption information of the base station wireless equipment, including: and adjusting the number of power modules started by the base station corollary equipment according to the total historical power consumption information of the 5G wireless equipment and the 4G wireless equipment and the energy-saving mode.

In one possible implementation, the method further includes:

responding to the fact that the increase amplitude of the traffic of the 5G wireless equipment in the preset time is larger than a second preset threshold value, and readjusting the energy-saving mode;

monitoring power consumption information of the base station wireless equipment after the energy-saving mode is adjusted in real time, and calculating the number of power modules needing to be started at present according to the power consumption information obtained by real-time monitoring;

and adjusting the starting and stopping number of the power supply modules in the base station corollary equipment according to the number of the current power supply modules needing to be started.

In one possible implementation, the method further includes:

and in response to the fact that the power consumption information of the base station wireless equipment exceeds the preset proportion of rated power consumption corresponding to the current service volume, newly calculating the number of power modules needing to be started by the base station supporting equipment and adjusting the base station supporting equipment.

The present application further provides a base station system control apparatus, where 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, the apparatus includes:

the acquisition module is used for acquiring the traffic of the base station wireless equipment and adjusting the energy-saving mode of the base station wireless equipment according to the traffic and the intelligent energy-saving strategy;

and the adjusting module is used for adjusting the number of the power modules started by the base station corollary equipment according to the energy-saving mode and the historical power consumption information of the base station wireless equipment after the energy-saving mode of the base station wireless equipment is adjusted.

The present application also provides a base station system, including: the system comprises base station wireless equipment, base station corollary equipment for supplying power to the base station wireless equipment, an intelligent ammeter, network management equipment and a monitoring module;

the network management equipment is used for acquiring the traffic of the base station wireless equipment and adjusting the energy-saving mode of the base station wireless equipment according to the traffic and the intelligent energy-saving strategy;

the intelligent electric meter is used for determining the number of power modules needing to be started by the base station corollary equipment according to the energy-saving mode and the power consumption information of the base station wireless equipment after the energy-saving mode of the base station wireless equipment is adjusted, and sending the number to the monitoring module;

the monitoring module is used for adjusting the number of the power modules started by the base station corollary equipment.

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

The present application also provides a computer-readable storage medium having stored thereon computer-executable instructions for implementing the method of any of the preceding claims when executed by a processor.

In the application, by acquiring the traffic of the base station wireless equipment, the base station wireless equipment comprises 5G wireless equipment and 4G wireless equipment, and the energy-saving mode of the base station wireless equipment is adjusted 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 the power modules started by the base station corollary equipment is adjusted according to the energy-saving mode and the historical power consumption information of the base station wireless equipment, so that the energy consumption can be effectively reduced, the resource waste can be reduced, and the operation and maintenance cost of a base station system can be reduced.

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 application.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;

fig. 2 is a schematic flowchart of a base station system control method according to an embodiment of the present disclosure;

fig. 3 is a schematic diagram illustrating selection of an energy saving mode of a base station wireless device according to an embodiment of the present application;

fig. 4 is a flowchart illustrating another base station system control method according to an embodiment of the present application;

fig. 5 is a schematic flow chart illustrating a process of adjusting the number of power modules according to an embodiment of the present disclosure;

fig. 6 is a flowchart illustrating a further method for controlling a base station system according to an embodiment of the present application;

fig. 7 is a schematic flow chart of a two-dimensional monitoring system according to an embodiment of the present disclosure;

fig. 8 is a schematic structural diagram of a base station system control device according to an embodiment of the present disclosure;

fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

It is noted that, in the present application, words such as "exemplary" or "for example" are used to mean exemplary, illustrative, or descriptive. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

In the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

In the face of the promotion of the country to the wireless business and the increasingly strong demand of users to wireless signals, operators strongly promote the construction of 5G base stations. According to analysis, under the same station type configuration and under the condition that the service volume is fully loaded, the energy consumption of the 5G base station is about 3.5 times of that of the 4G base station. The explosive growth in the number of 5G base stations in the last two years has resulted in significant costs for communication operators in terms of network operation costs. On one hand, 5G technology application is in the bud stage, and the income and expense ratio of operators in the aspect of 5G technology application is not adjusted. On the other hand, diversification of the user structure leads to that an operator balances perception of different types of users, and the operator needs to bear operation costs of multiple types of networks simultaneously to ensure that different types of base stations are in an open state at the same time. The high construction and operation cost of the 5G base station is always a pain point of the industry, and the biggest worry mainly comprises three aspects: the number of 5G base stations is much more than that of 4G base stations; the power consumption of each base station is much higher than that of the 4G base station; the price per base station is also much higher than for 4G base stations. The first two aspects are main factors influencing energy consumption cost, and are problems to be solved urgently by operators at present.

Compared with the traditional 4G equipment, the 5G base station Active Antenna processing Unit (AAU) supports 64 channels or 32 channels, and a large number of devices such as AAU and Radio Remote Unit (RRU) are added, so that the no-load power consumption of the equipment is greatly improved. In some technologies, a 5G base station makes energy-saving strategies under different traffic scenarios, such as intelligent channel shutdown and intelligent symbol shutdown, based on base station traffic monitoring, so that power consumption changes with traffic changes of wireless devices of the 5G base station. At present, most 5G base stations are built on existing 4G stations, and due to the characteristic of high power consumption of 5G equipment, corollary equipment of the base stations needs to be synchronously promoted, and the number of rectifier modules on a switching power supply is increased, so that the increase of the energy consumption of the 5G equipment is not only caused by the increase of wireless equipment such as AAU (architecture base band Unit, BBU) and the like, but also caused by the increase of the rectifier modules of the corollary equipment of the base stations. The problem can be solved by detecting the load rate of the module through a monitoring module in the switching power supply and sleeping the rectifier module in a high-redundancy running state, so that the energy consumption is saved.

The method has three problems, one is that the energy-saving strategy of the base station has no linkage: the base station wireless device only starts the energy-saving strategy based on the traffic variation, and the power consumption of the wireless device is reduced. And the base station corollary equipment monitors the load rate of the rectification module only through a monitoring module in the switching power supply and starts and stops the rectification module. The base station wireless equipment and the corollary equipment are independent from each other, linkage consideration is not taken into consideration, and the purposes of integration, systemization and energy conservation of the front end and the back end of the base station wireless equipment and the corollary equipment are not achieved. Secondly, the energy-saving strategy has no error correction mechanism: no matter the base station wireless equipment or the base station corollary equipment, an energy-saving strategy is preset according to the monitoring result in time period, and no error correction mechanism capable of dealing with sudden traffic change or sudden equipment power consumption change in real time exists. The preset energy-saving strategy cannot cope with sudden changes, so that the perception of the user is reduced. Thirdly, the monitoring dimension is single: the base station wireless equipment monitors the traffic condition only through the comprehensive network management, and does not monitor the power consumption condition of the equipment. When the air temperature changes, the power consumption of the base station wireless equipment is changed due to the influence of the temperature, but the method only implements an energy-saving strategy aiming at the traffic situation, so that the method is not fine and accurate enough.

In order to solve the problem, an embodiment of the present application provides a base station system control method, which includes setting a corresponding energy saving policy according to traffic volume through a traffic volume monitoring condition of a base station wireless device, monitoring a historical power consumption condition of the base station wireless device after energy saving by an intelligent electric meter, calculating an optimal power consumption requirement condition of a base station supporting device, and adjusting the number of rectifier modules in the base station supporting device, so as to implement energy saving policy linkage between the base station wireless device and the supporting device.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application. As shown in fig. 1, a 5G base station system may include a base station wireless device and a base station companion device for powering the base station wireless device. The base station wireless equipment comprises an AAU, a BBU and an RRU. The base station supporting equipment comprises a switching power supply, a rectification module and a Direct Current Distribution Unit (DCDU). The base station comprehensive network management monitors the service volume of the wireless equipment, the power consumption condition of each AAU, BBU and RRU unit is monitored by an intelligent ammeter in real time, and abnormal wireless equipment can be maintained or replaced in time according to the monitored power consumption condition. In addition, the total power consumption condition of the base station corollary equipment is monitored by an independent intelligent electric meter, and is compared with the power consumption condition of the wireless equipment in real time, and the number of the rectifier modules started by the base station corollary equipment is adjusted in time. The DCDU has a plurality of access points, plays the role of voltage stabilization and can provide direct current for a plurality of AAU, BBU and RRU units. The monitoring module monitors the overall operation condition of the base station wireless equipment and the corollary equipment.

In the control method of the base station system, the base station comprehensive network management is used as a monitoring device to monitor the traffic of the base station wireless device, and then the energy-saving mode of the wireless device is adjusted according to the traffic of the wireless device and an intelligent energy-saving strategy.

After the energy-saving mode is started, the energy-saving mode and historical power consumption information of the base station wireless equipment are obtained according to the intelligent electric meter, the number of power modules needing to be started of the base station corollary equipment is calculated, and starting and stopping of the power modules are controlled according to the number of the power modules which are started currently and the difference value between the number of the power modules which is obtained through calculation. Therefore, the linkage of the energy-saving strategy and the matched equipment can be realized. Based on the energy-saving mode and the historical power consumption information, the effective control of the base station corollary equipment can be realized, the number of the power supply modules can be controlled more accurately, and therefore the purpose of energy saving is achieved.

In addition, an error correction mechanism can be adopted in the embodiment of the application, when the increase amplitude of the traffic in a certain period exceeds a preset threshold value, the energy-saving mode needs to be adjusted again, and the number of the power modules is adjusted to be the optimal number according to the power consumption information obtained through real-time monitoring, so that the requirements of different modes can be met, the network operation cost can be reduced, and the network operation value can be improved.

Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. In the case of conflict between various embodiments, features in the embodiments and examples described below may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.

Fig. 2 is a flowchart illustrating a base station system control method according to an embodiment of the present disclosure. As shown in fig. 2, the base station system control method may include:

step 201, obtaining the traffic of the base station wireless device, and adjusting the energy saving mode of the base station wireless device according to the traffic and the 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 can comprise flow, and can be monitored in real time through the base station integrated network management.

Optionally, the comprehensive network management system can obtain the traffic data of the base station according to base stations in different regions and tidal use habits of users. And comparing and analyzing the traffic data of different time periods with the intelligent energy-saving strategy starting threshold value to realize the corresponding intelligent energy-saving strategy.

For example, the smart power saving policy may be that if the traffic is 0, mode a is enabled: the equipment is shut down; if the traffic volume is less than a, the mode B is started: deep dormancy; if a is less than the traffic volume and less than b, the mode C is started: turning off the symbol; if b is less than traffic and c is less than c, starting a mode D: the channel is shut off. Fig. 3 is a schematic diagram illustrating selection of an energy saving mode of a base station wireless device according to an embodiment of the present application. As shown in fig. 3, different periods correspond to different energy saving modes.

Step 202, after adjusting the energy saving mode of the base station wireless device, adjusting the number of power modules turned on by the base station corollary device 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 power consumption information of the base station wireless device over a past period of time, for example, average power consumption or maximum power consumption of 24 hours over 7 days. According to the energy-saving mode and the historical power consumption information, the optimal requirement of the base station corollary equipment can be determined, and the optimal requirement can refer to the number of power modules started by the base station corollary equipment.

The power module can be a rectifier module, converts alternating current into direct current and supplies power to the base station wireless equipment.

In this embodiment, when determining the optimal requirement of the base station corollary device, historical power consumption information of the base station wireless device may be used as a basis, and the historical power consumption information may guide the optimal requirement, so that the optimal requirement meets the normal operation requirement of the base station wireless device. In addition, when determining the optimal demand, the energy saving mode is also considered, and in the case where the historical power consumption information of 24 hours for the past 7 days is fixed, when the current period is in a different energy saving mode, the corresponding optimal demand may be different. Therefore, the optimal requirement can be determined by the deep combination of the energy-saving mode and the historical power consumption information, and the energy-saving effect is improved.

The base station system control method provided in this embodiment may obtain a traffic volume of the base station wireless device, and adjust an energy saving mode of the base station wireless device according to the traffic volume and an intelligent energy saving policy; after the energy-saving mode of the base station wireless equipment is adjusted, the number of the power modules started by the base station corollary equipment is adjusted according to the energy-saving mode and the historical power consumption information of the base station wireless equipment, so that the energy-saving linkage of the base station wireless equipment and the base station corollary equipment can be realized, the optimal requirement of the base station corollary equipment is determined by combining the energy-saving mode and the historical power consumption information, the energy consumption is effectively reduced, the resource waste is reduced, and the operation and maintenance cost of a base station system can be reduced.

On the basis of the technical solutions provided in the foregoing embodiments, optionally, the base station wireless device includes a 5G wireless device and a 4G wireless device; acquiring the traffic of the base station wireless device, and adjusting the energy-saving mode of the base station wireless device according to the traffic and the intelligent energy-saving policy, which may further include:

acquiring the traffic of 5G wireless equipment;

and in response to that the increase amplitude of the traffic of the 5G wireless equipment in a preset time is smaller than or equal to a second preset threshold, adjusting the energy-saving mode of the 5G wireless equipment according to the traffic and the intelligent energy-saving strategy.

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

Fig. 4 is a flowchart illustrating another base station system control method according to an embodiment of the present application. As shown in fig. 4, first, the traffic of the 5G wireless device is obtained through the base station integrated network manager, and if the increase amplitude of the traffic of the 5G wireless device in a preset time is smaller than or equal to a second preset threshold x2, for example, the increase amplitude of the traffic of the 5G wireless device in 24 hours is smaller than or equal to 10%, in order to avoid unnecessary waste, the energy saving mode of the 5G wireless device needs to be adjusted according to the traffic and the intelligent energy saving policy. The specific adjustment method of the intelligent energy-saving policy may refer to step 201, and is not described herein again.

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

The specific method for adjusting the number of power modules to be turned on by the base station supporting equipment may refer to the technical solutions of other embodiments, and details are not described here. It is to be noted that the historical power consumption information in this embodiment is the total historical power consumption information of the 5G wireless device and the 4G wireless device.

In practical application, the traffic of the 5G wireless device often fluctuates greatly, and the 5G wireless device can be adjusted according to a preset energy-saving strategy under the condition that the traffic is not suddenly changed by judging whether the increase amplitude of the traffic of the 5G wireless device in the preset time is smaller than or equal to a second preset threshold value or not and determining the energy-saving mode according to the judgment result, so that the normal operation of the 5G wireless device is ensured. In addition, when the number of the started power modules is determined, the number can be determined based on the power consumption of the 4G and 5G devices together, and the overall operation requirement of the base station system is met.

Optionally, in a specific application, the rectification module may adopt a polling mode. Specifically, when the rectifier modules are adjusted to be opened, the rectifier modules can be opened in sequence in a polling mode, the same rectifier modules are prevented from being opened at each time, the utilization efficiency of the rectifier modules can be greatly improved, and the service life of the rectifier modules is prolonged.

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

Optionally, 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, includes: calculating the average power consumption of the base station wireless equipment in the current energy-saving mode in a preset historical period; calculating the number of power modules needing to be started of the base station corollary equipment according to the average power consumption; and controlling the base station corollary equipment to start or sleep the power modules with the corresponding number or keeping the number of the started power modules unchanged according to the number of the currently started power modules in the base station corollary equipment and the difference value between the calculated numbers.

As shown in fig. 4, calculating the average power consumption of the base station in 24 hours for 7 days may refer to calculating the average power consumption of the base station in the current mode in 24 hours for the last 7 days, for example: if the current mode is switched to the energy-saving mode A, the average power consumption in the mode A in the last 7 days can be obtained and calculated through the intelligent electric meter, and the average value of the average power consumption is 0W; if the current mode is switched to the energy-saving mode B, the average power consumption in the mode B in the last 7 days can be obtained and calculated through the intelligent electric meter, and the average value of the average power consumption is 2000W; if the current mode is switched to the energy-saving mode C, the average power consumption in the mode C in the last 7 days can be obtained and calculated through the intelligent electric meter, and the average value of the average power consumption is 4000W; if the current mode is switched to the energy-saving mode D, the average power consumption of the mode D in the last 7 days can be obtained and calculated through the intelligent electric meter, and the average value 7000W of the average power consumption is obtained.

And calculating the number of the rectifier modules required to be started in each mode according to the average power consumption in each mode. For example, according to the mode a, the average power consumption is 0W, and the number of the power modules required to be turned on by the base station supporting equipment is 3; according to the mode B, the average power consumption is 2000W, and the number of the power modules needing to be started of the base station corollary equipment is 4 finally; according to the mode C, the average power consumption is 4000W, and the number of the power modules needing to be started of the base station corollary equipment is 5 finally; according to the mode D, the average power consumption is 7000W, and the number of the power modules needing to be started of the final base station corollary equipment is 6.

And then controlling the base station corollary equipment to start or sleep a corresponding number of power modules according to the number of the currently started power modules in the base station corollary equipment and the difference value between the calculated numbers, or keeping the number of the started power modules unchanged.

Optionally, the smart meter returns the calculation result to the monitoring module, and the starting number of the rectifier modules in the switching power supply is adjusted by the monitoring module. If the number of the current rectifier modules is smaller than the required number, starting additional rectifier modules according to the required number; if the number of the current rectifier modules is equal to the required number, keeping the number of the rectifier modules unchanged; and if the number of the current rectifier modules is larger than the required number, the redundant rectifier modules are dormant, so that energy is saved. Assuming that the number of currently started rectifier modules is 5, and the optimal demand is 3 in the mode A, 2 rectifier modules need to be dormant; in the mode B, if the optimal demand is 4, 1 rectifier module needs to be dormant; in the mode C, if the optimal demand is 5, the number of the rectifier modules is kept unchanged; in mode D, the optimal demand is 6, and 1 additional rectifier module needs to be turned on.

Therefore, the number of the power modules started by the base station corollary equipment is adjusted by the method, so that the effect of accurate energy conservation can be realized, and unnecessary waste is avoided.

Fig. 5 is a schematic flow chart of adjusting the number of power modules according to an embodiment of the present application, and as shown in fig. 5, calculating the number of power modules that need to be turned on by the base station supporting device according to the average power consumption may include:

and 501, calculating corresponding load current according to the average power consumption.

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

And 502, adding the load current and the charging current of the storage battery, dividing the sum by the output current of a single power module, and rounding up to obtain the required number of the power modules.

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

Step 503, adding one to the required number N to obtain the number N +1 of power modules that the base station supporting equipment needs to be turned on.

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

Table 1 example of calculation method of number of rectification modules

As shown in table 1, the average power consumption of the base station accessory 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, and in the case of a 10-hour float charge, the battery charging current is 800/10 — 80A, and if the output current of a single rectifier module is 50A, the required number N of power modules is (104+80)/50 — 4. The value of N +1 is 4+1 ═ 5, which is the final required number of modules.

By the calculation method, the output of the power supply module can meet the use requirements of the wireless equipment and the storage battery of the base station, the stability of the base station system is improved, and the number of the finally required modules is determined to be N +1, so that base station paralysis caused by accidental accidents or sudden damage of the power supply module can be avoided, and the normal working operation of the storage battery and the wireless equipment of the base station is met.

In one or more embodiments of the present application, optionally, in a case that the base station wireless device includes a 5G wireless device and a 4G wireless device, the method further includes: monitoring traffic of the 4G wireless device in response to the 5G wireless device being in an off state; in response to that the increase amplitude of the traffic of the 4G wireless equipment in a preset time is larger than a first preset threshold value and a 5G user identifier is recognized, predicting the number of power modules needing to be started by the base station corollary equipment after the 5G wireless equipment is started; and controlling the power modules of corresponding quantity to be started according to the prediction result, and starting the 5G wireless equipment.

Fig. 6 is a flowchart illustrating a further method for controlling a base station system according to an embodiment of the present application. As shown in fig. 6, if the current 5G wireless device is in an off state, the condition for turning on the 5G wireless device may be that it is monitored that the traffic of the 4G wireless device increases by more than a first preset threshold x1 within a certain time, and it is recognized that a user with the 5G wireless device is connected to the base station, and at this time, only the 4G wireless device is turned on, so that the requirement of the 5G wireless device for customer traffic cannot be met, and therefore, the 5G wireless device may be turned on. Then, before the 5G wireless device is turned on, the number of power modules to be turned on by the base station accessory after the 5G wireless device is turned on may be predicted.

Optionally, the number of turned-on power modules may be predicted according to the number of turned-on power modules of the base station supporting device in the history specific mode, and the 5G wireless device is turned on. For example, if the number of the historical power modules is 3 when the wireless device is in the mode a, controlling the number of the power modules to be 3, and turning on the 5G wireless device; if the number of the historical power modules is 4 when the wireless device is in the mode B, controlling the starting number of the power modules to be 4, and starting the 5G wireless device; if the number of the historical power modules is 5 when the mode C is in, controlling the number of the started power modules to be 5, and starting the 5G wireless equipment; if the number of the historical power supply modules is 6 when the wireless device is in the mode D, controlling the number of the historical power supply modules to be 6, and starting the 5G wireless device.

Therefore, through the service volume increasing range and the 5G user identification of the 4G wireless equipment, whether the 5G wireless equipment needs to be started or not can be determined more quickly and accurately, the power supply modules in corresponding quantity are controlled to be started according to the prediction result, the requirements of the 5G users can be met, the base station wireless equipment can be guaranteed to normally work, and the base station user experience is improved.

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

and predicting the number of power modules to be started by the base station corollary equipment after the 5G wireless equipment is started according to the increase amplitude of the traffic of the 4G wireless equipment in the preset time and/or the number of the identified 5G user identifications.

In an example, the increase range of the traffic of the 4G wireless device in the preset time and the number of the power modules that need to be turned on may be in a positive correlation, and the larger the increase range of the 4G wireless device is, the more the increased power modules may be, and the work requirement of the 4G wireless device is satisfied.

In another example, the number of the identifiers of the identified 5G users and the number of the power modules to be turned on may also be in a positive correlation relationship, and the more the identified 5G users are, the more the 5G wireless devices to be turned on may be, so the more the power modules are added, and the usage requirements of the 5G users are ensured.

In yet another example, the number of power modules to be turned on may be jointly predicted based on the traffic growth of the 4G wireless device and the number of identified 5G users.

Optionally, a corresponding relationship table may be formulated according to the historical data, and the corresponding relationship table may include a corresponding relationship between the traffic increase amplitude of the 4G wireless device, the number of the identified 5G users, and the number of the power modules that need to be turned on. In the actual using process, the corresponding number of the power modules can be searched according to the increase amplitude of the traffic of the 4G wireless equipment in the preset time and the number of the identified identifiers of the 5G users through the corresponding relation table.

In this embodiment, the number of power modules that need to be turned on by the base station supporting device after the 5G wireless device is turned on may be predicted according to the conditions of the 4G wireless device and the 5G user when the 5G wireless device is not turned on, so that the power modules can meet the actual use requirements of the base station system after the 5G wireless device is turned on, and a power supply guarantee is provided for normal turning on of the 5G wireless device and normal processing of a service.

On the basis of the technical solution provided by the above embodiment, optionally, the method may further include: responding to the fact that the increase amplitude of the traffic of the 5G wireless equipment in the preset time is larger than a second preset threshold value, and readjusting the energy-saving mode; monitoring power consumption information of the base station wireless equipment after the energy-saving mode is adjusted in real time, and calculating the number of power modules needing to be started at present according to the power consumption information obtained by real-time monitoring; and adjusting the starting and stopping number of the power supply modules in the base station corollary equipment according to the number of the current power supply modules needing to be started.

As shown in fig. 6, when the 5G wireless device is not turned off, the traffic condition of the 5G wireless device is monitored in real time through the integrated network management system, and when the 5G traffic suddenly changes, when the integrated network management system monitors that the increase amplitude of the 5G traffic in the preset time is greater than x2, the energy saving mode needs to be readjusted, the number of the rectifier modules turned on in the current mode may not meet the energy consumption increase caused by the sudden increase of the 5G traffic, and the energy saving mode that should be turned on at present needs to be re-determined according to the traffic. The specific adjustment method of the intelligent energy-saving policy may refer to step 201, and is not described herein again. However, it should be noted that, in this case, the traffic is greater than 0, and there is no mode a.

And then monitoring the power consumption information of the wireless equipment of the base station after the energy-saving mode is adjusted in real time, calculating the number of the power modules needing to be started at present according to the power consumption information obtained by real-time monitoring, and adjusting the starting and stopping number of the power modules in the corollary equipment of the base station according to the number of the power modules needing to be started at present.

Due to the sudden increase of the 5G service volume, the energy-saving strategy needs to be readjusted, the power consumption condition of the wireless equipment of the base station after the energy-saving strategy is adjusted is monitored in real time through the intelligent electric meter, the optimal requirement condition of the corollary equipment of the base station is calculated, and the number of the starting and stopping of the rectification modules of the corollary equipment of the base station is synchronously adjusted. The reason for monitoring the power consumption of the base station wireless device in real time is that the increase of the traffic of the 5G wireless device may decrease in a certain period, and the real-time monitoring can adjust the energy-saving mode and the number of power modules in the base station supporting device in time when the increase of the traffic decreases.

Through the mode, the requirement of the current wireless equipment can be met, the accuracy of controlling the number of the rectifier modules to be started and stopped can be improved, the use requirement under the condition of sudden change of the service volume is met, an error correction mechanism is realized, and the user perception is not influenced. In practical application, the method in the embodiment can cover traffic scenes of different base stations in different regions, and realizes linkage starting of the energy-saving strategy of the base station wireless equipment and the supporting equipment by dynamically adjusting the energy-saving strategy, so that the aims of environmental protection, energy conservation, cost reduction, efficiency improvement and power supply use efficiency (PUE) optimization are fulfilled.

In this embodiment, reference may be made to the foregoing embodiments for a method for calculating the number of rectification modules in the base station supporting device and adjusting the number of rectification modules, which are not described herein again.

Based on the technical solutions provided in the foregoing embodiments, optionally, the method for saving power of a base station wireless device further includes:

and in response to the fact that the power consumption information of the base station wireless equipment exceeds the preset proportion of rated power consumption corresponding to the current service volume, recalculating the number of power modules needing to be started of the base station supporting equipment and adjusting the base station supporting equipment.

In this embodiment, in addition to adjusting the optimal requirement of the power module based on the energy saving mode, the optimal requirement may also be adjusted according to the current power consumption of the base station wireless device, so as to implement two-dimensional monitoring.

Fig. 7 is a schematic flow chart of a two-dimensional monitoring system according to an embodiment of the present application. As shown in fig. 7, the integrated network manager monitors a traffic condition of the base station, and the smart meter monitors a power consumption condition of the wireless device of the base station, and when there is a change in the traffic of the base station, the energy-saving strategy is implemented according to the energy-saving linkage mode of the wireless device of the base station and the supporting device in the foregoing embodiment. When the traffic of the base station has no obvious change, if the power consumption of the wireless equipment of the base station is detected to be lower than 10% of the rated power consumption of the current traffic load, the change condition of the traffic of the wireless equipment of the base station is continuously monitored; and if the power consumption of the wireless equipment of the base station is detected to be more than or equal to 10% of the rated power consumption of the current traffic load, the intelligent electric meter immediately reevaluates the optimal demand condition of the corollary equipment of the base station, and the number of the starting and stopping of the rectification modules of the corollary equipment of the base station is adjusted according to an assessment result. For the specific adjustment method, reference is made to the foregoing embodiments, which are not described herein again.

Alternatively, the criterion of traffic variation and non-variation may be set according to actual needs, for example, if the variation of traffic does not exceed a certain range, it may be regarded as non-variation, otherwise, it may be regarded as variation. The range may be set by the operation and maintenance personnel.

The embodiment can monitor the power consumption condition of the equipment in real time, and can more accurately formulate the energy-saving strategy by matching with the traffic monitoring condition, thereby realizing the two-dimensional monitoring of the traffic and the power consumption of the base station, and solving the problems that the formulated energy-saving strategy has deviation and can not realize an error correction mechanism due to the irregular change of the power consumption of the equipment caused by uncontrollable factors (such as the change of weather and temperature).

Optionally, the execution main body of the method in this embodiment may be set according to actual needs. For example, monitoring power consumption and calculating an optimal demand can be realized by an intelligent electric meter in the base station system, and adjusting the started power module can be realized by a monitoring module; alternatively, the monitoring module may prohibit the calculation of the optimal demand according to the power consumption monitored by the smart meter, which is not limited in this embodiment.

Fig. 8 is a schematic structural diagram of a base station system control device according to an embodiment of the present application, and as shown in fig. 8, the system control device may include:

an obtaining module 801, configured to obtain a traffic of the base station wireless device, and adjust an energy saving mode of the base station wireless device according to the traffic and an intelligent energy saving policy;

an adjusting module 802, configured to adjust the number of power modules that are turned on by the base station wireless device according to the energy saving mode and historical power consumption information of the base station wireless device after adjusting the energy saving mode of the base station wireless device.

On the basis of the technical solutions provided in the foregoing embodiments, optionally, the adjusting module 802 is specifically configured to:

calculating the number of power modules needing to be started of the base station corollary equipment according to the average power consumption;

On the basis of the technical solutions provided in the foregoing embodiments, optionally, the base station supporting device includes a storage battery; the power supply module is used for supplying power to the base station wireless equipment and the storage battery; the storage battery is used for supplying power to the base station wireless equipment; the adjusting module 802 is specifically configured to, when calculating the number of power modules that need to be turned on by the base station supporting device according to the average power consumption:

and adding one to the required quantity to obtain the quantity of the power modules which need to be started by the base station corollary equipment.

On the basis of the technical solutions provided in the foregoing embodiments, optionally, the base station wireless device includes a 5G wireless device and a 4G wireless device; the obtaining module 801 is further configured to:

On the basis of the technical solutions provided in the foregoing embodiments, optionally, when predicting the number of power modules to be turned on by the base station supporting device after the 5G wireless device is turned on, the obtaining module 801 is specifically configured to:

On the basis of the technical solutions provided in the foregoing embodiments, optionally, the base station wireless device includes a 5G wireless device and a 4G wireless device; the obtaining module 801 is specifically configured to:

acquiring the traffic of 5G wireless equipment;

adjusting the number of power modules started by the base station corollary equipment according to the energy-saving mode and the historical power consumption information of the base station wireless equipment, including: and adjusting the number of power modules started by the base station corollary equipment according to the total power consumption information of the 5G wireless equipment and the 4G wireless equipment and the energy-saving mode.

On the basis of the technical solutions provided in the foregoing embodiments, optionally, the adjusting module 802 is further configured to:

The present application also provides a base station system, which may include: the system comprises base station wireless equipment, base station corollary equipment for supplying power to the base station wireless equipment, an intelligent ammeter, network management equipment and a monitoring module;

In this embodiment, the functions and implementation principles of each part of the base station system may be referred to in the foregoing embodiments, and are not described herein again.

Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 9, the electronic device of the present embodiment may include:

a processor 901, a memory 902 and computer programs; wherein the computer program is stored in the memory 902 and configured to be executed by the processor 901, the computer program comprising instructions for performing the method of any of the above embodiments.

For the implementation principle and the technical effect of the electronic device provided by this embodiment, reference may be made to the foregoing embodiments, which are not described herein again.

The present application further provides a computer-readable storage medium having stored thereon computer-executable instructions for implementing the method of any one of the above embodiments when executed by a processor.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor to execute some steps of the methods described in the embodiments of the present application.

It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in the incorporated application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor. The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.

The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, 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 or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.

The order of the embodiments of the present application described above is merely for description and does not represent the merits of the embodiments.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It will be understood that the present application is not limited to the precise arrangements 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 application is limited only by the appended claims.

Claims

1. A base station system control method, wherein the base station system includes a base station wireless device and a base station companion device for supplying power to the base station wireless device, the method comprising:

2. The method of claim 1, wherein adjusting the number of power modules turned on by the base station companion device according to the power saving mode and historical power consumption information of the base station wireless device comprises:

3. The method of claim 2, wherein the base station companion device comprises a battery; the power supply module is used for supplying power to the base station wireless equipment and the storage battery; the storage battery is used for supplying power to the base station wireless equipment; calculating the number of power modules needing to be started by the base station corollary equipment according to the average power consumption, wherein the calculation comprises the following steps:

4. The method of claim 1, wherein the base station wireless devices comprise 5G wireless devices and 4G wireless devices; the method further comprises the following steps:

5. The method of claim 4, wherein predicting the number of power modules to be turned on by the base station accessory after the 5G wireless device is turned on comprises:

6. The method of claim 1, wherein the base station wireless devices comprise 5G wireless devices and 4G wireless devices; acquiring the traffic of the base station wireless equipment, and adjusting the energy-saving mode of the base station wireless equipment according to the traffic and the intelligent energy-saving strategy, wherein the method comprises the following steps:

acquiring the traffic of 5G wireless equipment;

responding to the fact that the increase amplitude of the traffic of the 5G wireless equipment in a preset time is smaller than or equal to a second preset threshold value, and adjusting the energy-saving mode of the 5G wireless equipment according to the traffic and an intelligent energy-saving strategy;

7. The method of claim 6, further comprising:

8. The method according to any one of claims 1-7, further comprising:

9. A base station system control apparatus, wherein 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, the apparatus comprising:

10. A base station system, comprising: the system comprises base station wireless equipment, base station corollary equipment for supplying power to the base station wireless equipment, an intelligent ammeter, network management equipment and a monitoring module;

11. An electronic device, comprising: a processor, a memory, and a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor, the computer program comprising instructions for performing the method of any of claims 1-8.

12. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, perform the method of any one of claims 1-8.