Energy consumption control method, indoor distribution system, computer device and storage medium

Abstract

An energy consumption control method, an indoor distribution system, a computer device and a storage medium. The method comprises: on the basis of a historical traffic volume of a historical time period matching a target time period, and a historical coefficient of the historical time period, determining a target coefficient corresponding to the target time period; obtaining an estimated traffic volume of the target time period on the basis of the target coefficient and the historical traffic volume; obtaining an estimated transmission power on the basis of the estimated traffic volume; determining whether the estimated transmission power is within a power range of a signal transmission device; and if the estimated transmission power is outside the power range, adjusting the power and the number of carriers of the signal transmission device within the target time period on the basis of the estimated transmission power.

Description

Energy consumption control method, indoor distribution system, computer equipment and storage medium

[0001] Related applications

[0002] This application claims priority to Chinese patent application number 202311117077.2, filed on August 31, 2023, entitled “Energy consumption control method, indoor distribution system, computer equipment and storage medium,” the entire text of which is hereby incorporated by reference. Technical Field

[0003] The present application relates to the technical field of indoor distribution systems, and in particular to an energy consumption control method, an indoor distribution system, a computer device, and a storage medium. Background Art

[0004] Indoor distribution systems are used to provide indoor mobile terminal coverage within a building, on floors, or between buildings. Due to the flow of people, the demand for indoor mobile phone service coverage fluctuates regularly. For example, in office buildings, the demand for signal coverage power and carrier capacity is high during the day, lower at night, and even lower on weekends. In shopping malls, demand is low during the weekday day but higher in the evening and on weekends.

[0005] If the indoor distribution system's transmission power is insufficient, coverage will be limited and mobile phone signals will be poor. If the number of carriers is insufficient, mobile phone access will be difficult. If the transmission power is too high and the number of carriers is excessive, energy consumption will be wasted. With the widespread adoption of 5G's high speeds, the power consumption of 5G system equipment has become increasingly prominent.

[0006] To address this need, existing approaches either rely on constantly turning on all carriers in the indoor distribution system and operating at full power, which results in significant energy consumption. Alternatively, carrier pool scheduling is achieved through manual configuration of duty cycles. Typically, manual adjustments to the carrier pool scheduling strategy are made based on experience and subsequent performance in the area covered by the indoor distribution system. However, this approach is not only complex and labor-intensive, but also suffers from low accuracy in adjusting the indoor distribution system based on experience, and still results in significant energy consumption.

[0007] With regard to the problem of large useless energy consumption of indoor distribution systems in related technologies, no effective solution has been proposed so far.

[0008] Summary of the Invention

[0009] According to various embodiments of the present application, there are provided an energy consumption control method, an indoor distribution system, a computer device, and a storage medium capable of reducing energy consumption of an indoor distribution system.

[0010] In a first aspect, the present application provides an energy consumption control method, the method comprising:

[0011] Determining a target coefficient corresponding to the target period based on a historical traffic volume of a historical period matching the target period and a historical coefficient of the historical period;

[0012] Obtaining an estimated business volume for the target period according to the target coefficient and the historical business volume;

[0013] Obtaining an estimated transmit power according to the estimated traffic volume;

[0014] Determine whether the estimated transmit power is within a power range of the signal transmitting device; if the estimated transmit power is outside the power range, adjust the power and number of carriers of the signal transmitting device within the target time period according to the estimated transmit power.

[0015] In one embodiment, determining a target coefficient corresponding to the target period based on a historical traffic volume of a historical period matching the target period and a historical coefficient of the historical period includes:

[0016] Determine a historical period having the same period characteristics as the target period;

[0017] Obtaining an adjusted value of the coefficient based on the historical business volume and the historical coefficient during the historical period;

[0018] The target coefficient is obtained according to the adjustment value and the historical coefficient.

[0019] In one embodiment, the target period includes a plurality of period characteristics, wherein the period characteristics are obtained based on time and / or classification of events that cause traffic volume changes.

[0020] In one embodiment, the signal transmitting device includes a first signal transmitting device and a second signal transmitting device, the first signal transmitting device covers a first area, the second signal transmitting device covers a second area, and there is an overlap between the first area and the second area, and the method includes:

[0021] Obtaining an estimated traffic volume in the first area;

[0022] determining whether the estimated traffic volume of the first area is greater than the maximum traffic volume that the first signal transmitting device can carry; and if so, increasing the target coefficient of the second area within the target time period based on the estimated traffic volume of the first area;

[0023] Based on the increased target coefficient of the second area, the traffic volume is allocated from the estimated traffic volume of the first area to the second area so that the estimated traffic volume of the first area is less than or equal to the maximum traffic volume that the first signal transmitting device can carry.

[0024] In one embodiment, adjusting the target coefficient of the second area within the target period upward based on the estimated business volume includes:

[0025] Obtaining a new business volume in the second area according to a preset ratio and the estimated business volume;

[0026] Obtaining historical coefficients and historical business volumes of the second region during a historical period;

[0027] An adjustment value of the target coefficient of the second area is obtained according to the newly added business volume, the historical coefficient of the second area, and the historical business volume of the second area.

[0028] In one embodiment, after increasing the target coefficient of the second area in the target time period based on the estimated traffic volume so that the first area can carry the estimated traffic volume, the method further includes:

[0029] According to the target coefficient and historical business volume of the first area in the target period, and the target coefficient and historical business volume of the second area in the target period, the target coefficient of the first area in the next new period with the same period characteristics as the target period is obtained.

[0030] In one embodiment, after adjusting the transmission power and number of carriers of the signal transmitting device within the target time period, the method further includes:

[0031] obtaining the received power of the signal transmitting device within the target time period;

[0032] Obtaining actual traffic volume within the target time period according to the received power;

[0033] Determine whether the actual transmission power corresponding to the actual business volume is within the power range of the signal transmitting device; if not, adjust the transmission power and number of carriers of the signal transmitting device according to the actual transmission power corresponding to the actual business volume.

[0034] In a second aspect, the present application further provides an indoor distribution system, the system comprising: a base station, a controller, and a signal transmitting device; wherein,

[0035] The base station is used to transmit a signal for implementing network communication;

[0036] When executed, the controller implements the energy consumption control method described in the first aspect above;

[0037] The signal transmitting device is used to cover the signal within a designated area.

[0038] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the energy consumption control method described in the first aspect when executing the computer program.

[0039] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the energy consumption control method described in the first aspect.

[0040] The details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the disclosed drawings without any creative work.

[0042] FIG1 is a flow chart of an energy consumption control method according to an embodiment.

[0043] FIG2 is a schematic diagram of a method for acquiring a target time period in one embodiment.

[0044] FIG3 is a schematic diagram of an energy consumption control method for an indoor distribution system in one embodiment.

[0045] FIG4 is a schematic diagram of an indoor distribution system in one embodiment.

[0046] FIG5 is a schematic diagram of an indoor distributed coverage system according to an embodiment.

[0047] FIG6 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0049] In one embodiment, as shown in FIG1 , a method for controlling energy consumption is provided. This embodiment uses the method applied to a terminal as an example for illustration. It is understood that the method can also be applied to a server, or to a system including a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0050] Step S101 : determining a target coefficient corresponding to the target period according to the historical traffic volume of the historical period matching the target period and the historical coefficient of the historical period.

[0051] Among them, the target period is a certain time period in the future, and the historical period is a certain time period in the past, wherein the time length corresponding to the target period is consistent with the time length corresponding to the historical period, and the historical period matching the target period can be one or more. The business volume is the total amount of data traffic services generated by the data connection between the mobile terminal and the communication network, which is used to indicate the data sending and receiving capabilities that the communication network can provide to the mobile terminal. The historical business volume is the total amount of data traffic services generated by the data connection between the mobile terminal and the communication network during the historical period. The coefficient is used to indicate the relationship between the business volume between the two matching time periods, wherein the target coefficient is used to indicate the business volume change trend between the previous historical period matching the target period and the target period. The target coefficient is iteratively obtained based on the historical coefficient of the previous historical period matching the target period; the same applies to the historical coefficient.

[0052] For example, if it is judged based on the historical coefficient and historical business volume that the trend of business volume change is increasing, the historical coefficient is adjusted upward according to the trend of change to obtain the target coefficient; if it is judged based on the historical coefficient and historical business volume that the trend of business volume change is decreasing, the historical coefficient is adjusted downward according to the trend of change to obtain the target coefficient, so that the target coefficient can accurately estimate the business volume in the target period.

[0053] Step S102: Obtain the estimated business volume for the target period based on the target coefficient and the historical business volume.

[0054] The estimated traffic volume is the total amount of data traffic services generated by the data connection between the mobile terminal and the communication network during the target period. The target coefficient and the estimated traffic volume are positively correlated. Optionally, the target coefficient is used to indicate the coefficient relationship between the estimated traffic volume and historical traffic volume during the target period. Therefore, the estimated traffic volume can be obtained based on the coefficient relationship based on the known historical traffic volume.

[0055] Step S103: Obtain estimated transmission power according to the estimated traffic volume.

[0056] The estimated transmit power is the transmit power required by the power transmitting device to carry the estimated traffic volume, and the estimated traffic volume and the estimated transmit power are positively correlated. The power transmitting device is used to provide communication network services to mobile terminals within its coverage area.

[0057] Step S104 , determining whether the estimated transmission power is within the power range of the signal transmitting device; if the estimated transmission power is outside the power range, adjusting the power and number of carriers of the signal transmitting device within the target time period according to the estimated transmission power.

[0058] The power of a signal transmitter is related to the number of carriers. The higher the power, the more carriers the transmitter can carry within its coverage area. When adjusting the power of a signal transmitter, you also need to adjust the number of carriers. The power range of a signal transmitter is determined based on the power of the transmitter over a historical period.

[0059] Optionally, if the estimated transmission power is within the power range of the signal transmitting device, the power of the signal transmitting device in the historical period can be used during the target period; if the estimated transmission power is outside the power range, the power of the signal transmitting device in the historical period cannot be used, and the power and number of carriers of the signal transmitting device in the target period need to be adjusted.

[0060] In the above energy consumption control method, the target coefficient for the target period is iteratively determined based on the historical traffic volume and historical traffic coefficient for the historical period that matches the target period. The estimated transmit power, derived from the iterative target coefficient, is accurate. Based on the estimated transmit power, the power and number of carriers of the signal transmission equipment in the indoor distribution system are accurately and automatically adjusted. This eliminates the need to maintain full power and full carrier operation of the signal transmission equipment for extended periods of time, and eliminates the need for real-time adjustments based on manual experience, thereby reducing unnecessary energy consumption in the indoor distribution system.

[0061] In one embodiment, a target coefficient corresponding to the target period is determined based on the historical business volume of the historical period that matches the target period and the historical coefficient of the historical period, including: determining a historical period having the same period characteristics as the target period; obtaining an adjustment value of the coefficient based on the historical business volume and the historical coefficient of the historical period; and obtaining the target coefficient based on the adjustment value and the historical coefficient.

[0062] Optionally, the historical business volume includes historical actual business volume and historical estimated business volume. The historical estimated business volume can be determined based on the historical time period and historical coefficients, and the difference between the historical actual business volume and the historical estimated business volume is used as an adjustment value for the coefficient. The adjustment value is added to the historical coefficient to obtain the target coefficient. Other algorithms can also be used, such as a preset functional relationship, to calculate the historical business volume and historical coefficient, the adjustment value, and the target coefficient for the historical time period.

[0063] The target period includes multiple period features, wherein the period features are obtained based on the classification of time and / or events that cause changes in business volume. Among them, the events that cause changes in business volume can be events that affect changes in pedestrian flow, such as festivals, holidays, activities, etc. Optionally, the classification of events that cause changes in business volume includes: obtaining statutory holidays and non-statutory holidays based on festival classification; obtaining working days and rest days based on holiday classification; obtaining activity days and non-activity days based on activity classification, etc. Time can be classified according to different time lengths. Optionally, the classification of time includes: classification in hours, classification in dates, and classification in 7-day weeks. Through multiple period features, multiple historical periods can be matched. By comprehensively considering multiple factors that affect the business volume of the target period, a more accurate estimated business volume can be obtained, thereby reducing energy consumption.

[0064] When there are multiple historical periods that match the target period, multiple target coefficients corresponding to each historical period are obtained and combined. Based on the combined target coefficients, the estimated traffic volume for the target period is estimated. Figure 2 is a schematic diagram of a target period acquisition method in this embodiment. As shown in Figure 2, the coefficients are classified into period coefficients, weekend coefficients, and other coefficients based on the period characteristics of the target period. The period coefficients are the 0:00 coefficient, 1:00 coefficient, ..., and 23:00 coefficient; the weekend coefficients are the Monday coefficient, Tuesday coefficient, ..., and Sunday coefficient; and the other coefficients are the holiday coefficients. Specifically, in Figure 2, the period characteristics of the historical period are the period characteristics of a certain day in the past, including: 0:00, 1:00, ..., 23:00, Monday, Tuesday, ..., Sunday, and holidays. For example, 0:00, 1:00, ..., and 23:00 are time periods relative to the day before the target period; Monday, Tuesday, ..., and Sunday are time periods relative to the week before the target period; and holidays are the days when the last holiday occurred relative to the target period. Corresponding to time period characteristics, historical coefficients for historical periods include: 0:00 coefficient, 1:00 coefficient, ..., 23:00 coefficient, Monday coefficient, Tuesday coefficient, ..., Sunday coefficient, and holiday coefficient. Target coefficients calculated based on these historical coefficients include: 0:00 business coefficient, 1:00 business coefficient, ..., 23:00 business coefficient, Monday business coefficient, Tuesday business coefficient, ..., Sunday business coefficient, and holiday business coefficient. The business forecast coefficient is the combined target coefficient, and the business forecast coefficient can be used to calculate the estimated business volume. These coefficients are the historical coefficients for the most recent historical period that matched the target period.

[0065] Obtaining the business forecast coefficient includes matching the time period characteristics of multiple historical time periods with the time period characteristics of the target time period. If a match occurs, the matching historical coefficient is multiplied by 1; if a match does not occur, the historical coefficient is multiplied by 0. The target coefficient, i.e., the business coefficient in the figure, is calculated based on the historical coefficients. The business forecast coefficient is then obtained based on the multiple business coefficients.

[0066] For example, let's use the target time period of 1:00-2:00 AM on a non-holiday Monday. The historical time periods that match the target time period's characteristics are "Monday" and "1:00 AM." By multiplying 0 and 1, select the "1:00 AM Coefficient" and "Monday Coefficient." The "1:00 AM Business Coefficient" is calculated based on the historical business volume at 1:00 AM and the "1:00 AM Coefficient." The "Monday Business Coefficient" is calculated based on the historical business volume on Monday and the "Monday Coefficient." The "1:00 AM Business Coefficient" and the "Monday Business Coefficient" are then used to calculate the "Estimated Business Coefficient."

[0067] This embodiment iteratively determines the target coefficient for the characteristics of a specific time period based on historical traffic volume and historical coefficients. Similarly, based on the target coefficient and the actual traffic volume during the target period, the coefficient for the next time period matching the characteristics of that period can be iteratively determined. This iterative approach allows for accurate prediction of the changing trends in traffic volume during that period.

[0068] In one embodiment, the signal transmitting device includes a first signal transmitting device and a second signal transmitting device, the first signal transmitting device covers a first area, the second signal transmitting device covers a second area, and there is an overlap between the first area and the second area, and the method includes: obtaining an estimated business volume of the first area; determining whether the estimated business volume of the first area is greater than the maximum business volume that the first signal transmitting device can carry; if so, increasing the target coefficient of the second area within the target period according to the estimated business volume of the first area; and allocating business volume from the estimated business volume of the first area to the second area based on the increased target coefficient of the second area, so that the estimated business volume of the first area is less than or equal to the maximum business volume that the first signal transmitting device can carry.

[0069] The power of the signal transmitting device is adjustable, and the maximum traffic volume that the first signal transmitting device can carry is the traffic volume corresponding to the maximum power of the first signal transmitting device. After the traffic volume is allocated from the first area to the second area, the estimated traffic volume in the first area is the allocated traffic volume.

[0070] If the estimated traffic volume in the first area exceeds the maximum traffic volume, the first signal transmitting device can no longer carry the estimated traffic volume. By allocating a portion of the estimated traffic volume to a second area that overlaps with the first area, the traffic volume required to be carried by the first signal transmitting device is reduced. Optionally, the traffic volume allocated to the second area can be a preset proportion of the estimated traffic volume or the portion of the estimated traffic volume that exceeds the maximum traffic volume.

[0071] According to the estimated business volume, the target coefficient of the second area in the target period is adjusted upward, including: obtaining the new business volume of the second area according to a preset ratio and the estimated business volume; obtaining the historical coefficient and historical business volume of the second area in the historical period; and obtaining the adjusted value of the target coefficient of the second area according to the new business volume, the historical coefficient of the second area and the historical business volume of the second area.

[0072] The new business volume is the estimated business volume allocated to the second area. Optionally, the estimated business volume is multiplied by a preset ratio to obtain the new business volume for the second area. The new business volume is then added to the historical business volume for the second area to obtain the increased business volume for the second area during the target period. An adjustment value for the target coefficient for the second area is obtained based on the increased business volume and the historical coefficient for the second area. Specifically, the adjusted value for the historical coefficient can be obtained using the increased business volume; alternatively, the adjusted value can be obtained by processing the increased business volume and the historical coefficient using other functional relationships.

[0073] In one embodiment, after increasing the target coefficient of the second area in the target time period based on the estimated business volume so that the first area can carry the estimated business volume, the method further includes: obtaining the target coefficient of the first area in the next new time period having the same time period characteristics as the target time period based on the target coefficient and historical business volume of the first area in the target time period, and the target coefficient and historical business volume of the second area in the target time period.

[0074] Optionally, a target coefficient for the first area in the new period is obtained based on the target coefficient and historical traffic volume of the first area in the target period. A target coefficient for the second area in the new period is obtained based on the target coefficient and historical traffic volume of the second area in the target period. A target coefficient for the first area in the new period is obtained based on the target coefficient for the first area and the target coefficient for the second area in the new period.

[0075] In one embodiment, after adjusting the transmission power and number of carriers of the signal transmitting device within the target time period, the method further includes: obtaining the receiving power of the signal transmitting device within the target time period; obtaining the actual business volume within the target time period based on the receiving power; determining whether the actual transmission power corresponding to the actual business volume is within the power range of the signal transmitting device; if not, adjusting the transmission power and number of carriers of the signal transmitting device based on the actual transmission power corresponding to the actual business volume.

[0076] Received power refers to the uplink power received from the mobile terminal during the target period, and actual traffic refers to the received uplink traffic volume. Received power and actual traffic volume are positively correlated. If a sudden surge in traffic is detected during the target period, the power and number of carriers of the signal transmission equipment will be temporarily increased based on the detection results.

[0077] Optionally, the signal transmitting device includes a first signal transmitting device and a second signal transmitting device, the first signal transmitting device covers the first area, the second signal transmitting device covers the second area, and there is an overlap between the first area and the second area. If the actual traffic volume of the first area is greater than the maximum traffic volume that the first signal transmitting device can carry, part of the actual traffic volume in the first area is allocated to the second area, and the power of the second signal transmitting device in the second area is temporarily adjusted so that the first signal transmitting device can carry the actual traffic volume allocated to the first area. According to the actual traffic volume allocated to the first area, the actual traffic volume of the second area and the target coefficient of the second area, the target coefficient of the second area in the target period is updated. According to the target coefficient of the first area in the target period and the target coefficient of the second area in the target period, the target coefficient of the first area in the new period is obtained. The new period is the next period with the same period characteristics as the target period.

[0078] In one embodiment, a method for controlling energy consumption of an indoor distribution system is provided, as shown in FIG3 , including the following steps:

[0079] Step S301: Iterate the coefficients of different time periods and holiday characteristics through an iterative algorithm. Time periods and holiday characteristics are period characteristics. The iterative algorithm updates the historical coefficients of the historical period based on the business volume of the previous period when the period characteristic appeared, and obtains the coefficients of the current period characteristic.

[0080] Step S302 uses the service prediction coefficient to estimate the mobile phone service demand in the current area during each time period. The current area is the first area. The first time period corresponds to multiple time period characteristics, each of which has a corresponding coefficient. The service prediction coefficient is obtained based on the multiple target coefficients.

[0081] Step S303, when the mobile phone service demand in the current area in each time period is estimated to be low, the downlink transmission power of the coverage unit in the current area in the corresponding time period is pre-adjusted; when the estimate is high, the opposite is true. The coverage unit in the current area is the first signal transmitting device. Optionally, there is a corresponding maximum allowable deviation ratio for the coverage unit power; according to the maximum allowable deviation ratio, the maximum allowable deviation value and the minimum allowable deviation value of the power are obtained; according to the maximum allowable deviation value and the minimum allowable deviation value, the power range is obtained. If the estimated transmission power is within the power range, it is determined that the mobile phone service demand is estimated to be low, and the power of the coverage unit in the current area is not adjusted; if the estimated transmission power is outside the power range, the mobile phone service demand is estimated to be high, and the power of the coverage unit in the target time period is adjusted.

[0082] Step S304 dynamically adjusts the power and number of carriers in the current area based on the actual uplink traffic volume in the current area, and iterates the coefficients. The coefficients for the next occurrence of the time period characteristic are determined based on the coefficients for the current time period characteristic and the actual uplink traffic volume in the current area. Obtaining the actual uplink traffic volume includes collecting the uplink power of the device in each area and deriving the actual uplink traffic volume based on the uplink power of the device in each area.

[0083] Step S305: When a sudden surge in traffic occurs in the current area, the transmission power of the coverage units in the current area and the adjacent area is temporarily increased. The adjacent area is the second area. Specifically, if the actual uplink traffic volume exceeds the power range of the signal transmission equipment within the target time period, the power and number of carriers in the current area are dynamically adjusted based on the actual uplink traffic volume; if this condition is not met, the power and number of carriers in the current area are not adjusted. If the actual uplink traffic volume exceeds the maximum traffic volume that the coverage unit in the current area can carry, the power and number of carriers in the adjacent area are dynamically adjusted; if this condition is not met, the power and number of carriers in the adjacent area are not adjusted.

[0084] In this embodiment, coefficients based on the characteristics of historical time periods and the historical traffic volume are iteratively derived for the current time period. These coefficients are automatically calculated using an iterative algorithm to adjust the power and carrier scheduling of the coverage unit, eliminating the need for manual maintenance of the scheduling strategy. Multiple coefficients are derived based on specific time periods and holiday periods. Combining these coefficients to estimate mobile phone traffic increases the precision of the scheduling strategy, ensuring accurate traffic volume estimates and reducing energy consumption.

[0085] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0086] Based on the same inventive concept, embodiments of the present application also provide an indoor distribution system for implementing the aforementioned energy consumption control method. The solution provided by this system is similar to the solution described in the aforementioned method. Therefore, the specific limitations in one or more of the following embodiments of the indoor distribution system can be found in the aforementioned limitations of the indoor distribution system method and will not be further elaborated here.

[0087] In one embodiment, as shown in Figure 4, an indoor distribution system is provided, comprising a base station, a controller, and a signal transmitter. The base station transmits signals for implementing network communication; the controller, when executed, implements the energy consumption control method described in the above method embodiment; and the signal transmitter provides signal coverage within a designated area.

[0088] In one embodiment, the indoor distribution system may include multiple signal transmitting devices, different signal transmitting devices have different coverage areas, and there is overlap between the coverage areas of two adjacent signal transmitting devices. Figure 5 is a schematic diagram of an indoor distributed coverage system according to this embodiment. As shown in Figure 5, the base station is used to provide a base station signal source, the controller connects the base station signal source to the signal transmitting device, and executes the energy consumption control method in the above method embodiment. The controller controls multiple signal transmitting devices, and the signal transmitting devices include a local area coverage device, a neighboring area coverage device 1, a neighboring area coverage device 2, a neighboring area coverage device 3, and a neighboring area coverage device 4. Among them, the coverage area of ​​the local area coverage device is the first area; the coverage area of ​​the neighboring area coverage device 1, the neighboring area coverage device 2, the neighboring area coverage device 3, and the neighboring area coverage device 4 is the second area. The dotted circle is used to indicate the coverage range of the local area coverage device. The coverage range of the neighboring area coverage device 1, the neighboring area coverage device 2, the neighboring area coverage device 3, and the neighboring area coverage device 4 is the same as the coverage radius of the local area coverage device, and there is overlap between the coverage areas of two adjacent coverage devices.

[0089] Each device in the above-mentioned indoor distribution system can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the above-mentioned devices can be embedded in or independent of the processor of the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each of the above-mentioned devices.

[0090] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in Figure 6. The computer device includes a processor, a memory, an input / output (I / O) interface, and a communication interface. The processor, memory, and I / O interface are connected via a system bus, and the communication interface is connected to the system bus via the I / O interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store historical coefficients and historical traffic. The I / O interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements an energy consumption control method.

[0091] Those skilled in the art will understand that the structure shown in FIG6 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0092] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0093] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0094] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0095] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0096] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. An energy consumption control method, characterized in that: The method comprises: Determining a target coefficient corresponding to the target period according to a historical traffic volume of a historical period matching the target period and a historical coefficient of the historical period; Obtaining an estimated business volume for the target period according to the target coefficient and the historical business volume; Obtaining an estimated transmission power according to the estimated traffic volume; Determine whether the estimated transmission power is within the power range of the signal transmitting device; if the estimated transmission power is outside the power range, adjust the power and number of carriers of the signal transmitting device within the target time period according to the estimated transmission power.

2. The method according to claim 1, wherein: Determining a target coefficient corresponding to the target period according to a historical traffic volume of a historical period matching the target period and a historical coefficient of the historical period includes: Determine a historical period having the same period characteristics as the target period; Obtaining an adjustment value of the coefficient according to the historical business volume and the historical coefficient of the historical period; The target coefficient is obtained according to the adjustment value and the historical coefficient.

3. The method according to claim 2, wherein: The target period includes a plurality of period features, wherein the period features are obtained based on time and / or classification of events causing traffic volume changes.

4. The method according to claim 1, wherein: The signal transmitting device includes a first signal transmitting device and a second signal transmitting device, the first signal transmitting device covers a first area, the second signal transmitting device covers a second area, and there is an overlap between the first area and the second area. The method includes: Obtaining an estimated business volume of the first area; Determine whether the estimated traffic volume of the first area is greater than the maximum traffic volume that the first signal transmitting device can carry; if so, increase the target coefficient of the second area within the target period according to the estimated traffic volume of the first area; Based on the increased target coefficient of the second area, the traffic volume is allocated from the estimated traffic volume of the first area to the second area, so that the estimated traffic volume of the first area is less than or equal to the maximum traffic volume that the first signal transmitting device can carry.

5. The method according to claim 4, wherein: According to the estimated business volume, the target coefficient of the second area within the target period is increased, including: Obtaining the newly added business volume of the second area according to the preset ratio and the estimated business volume; Obtaining historical coefficients and historical business volumes of the second region in a historical period; An adjustment value of the target coefficient of the second area is obtained according to the newly added business volume, the historical coefficient of the second area and the historical business volume of the second area.

6. The method according to claim 4, wherein: After increasing the target coefficient of the second area in the target time period according to the estimated traffic volume so that the first area can carry the estimated traffic volume, the method further includes: According to the target coefficient and historical business volume of the first area in the target time period, and the target coefficient and historical business volume of the second area in the target time period, the target coefficient of the first area in the next new time period having the same time period characteristics as the target time period is obtained.

7. The method according to claim 1, wherein: After adjusting the transmission power and the number of carriers of the signal transmitting device within the target time period, the method further includes: Acquiring the received power of the signal transmitting device within the target time period; According to the received power, an actual traffic volume in the target time period is obtained; Determine whether the actual transmission power corresponding to the actual business volume is within the power range of the signal transmitting device; if not, adjust the transmission power and the number of carriers of the signal transmitting device according to the actual transmission power corresponding to the actual business volume.

8. An indoor distribution system, characterized in that: The system includes: a base station, a controller, and a signal transmitting device; wherein, The base station is used to transmit a signal for realizing network communication; The controller, when executed, implements the steps of the method according to any one of claims 1 to 7; The signal transmitting device is used to cover the signal within a designated area.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, step S of the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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