Energy efficiency evaluation method and device, processing device

Abstract

The application discloses an energy efficiency evaluation method and device, a processing device and a computer readable storage medium. The method comprises the following steps: fitting an energy efficiency baseline according to energy efficiency data of multiple regions, wherein the energy efficiency baseline is a curve of energy efficiency changing with single station traffic and / or PRB utilization; and determining energy efficiency advantages and disadvantages of the multiple regions according to the energy efficiency baseline.

Description

Technical Field

[0001] This application relates to the field of wireless technology, and in particular to an energy efficiency assessment method and apparatus, processing equipment, and computer-readable storage medium. Background Technology

[0002] For mobile communication networks, energy efficiency is a crucial performance indicator. A common definition of energy efficiency is data traffic / energy consumption. Current methods for evaluating energy efficiency in different regions involve summing the data traffic and energy consumption over a period of time, calculating the energy efficiency value based on the total data traffic and total energy consumption, and then simply ranking the energy efficiency values ​​of each region. Figure 1 As shown, regions with energy efficiency values ​​below a certain threshold are considered to have energy efficiency problems (i.e., regions with energy efficiency problems).

[0003] Since energy efficiency increases with traffic volume, the method described above, which ranks regions by energy efficiency values ​​and identifies those below a certain threshold as energy efficiency problem areas, is unfair to regions with low traffic volume. Therefore, the existing methods for identifying energy efficiency problem areas are inaccurate. Summary of the Invention

[0004] To address the aforementioned technical problems, embodiments of this application provide an energy efficiency assessment method and apparatus, a processing device, and a computer-readable storage medium.

[0005] The energy efficiency assessment method provided in this application includes:

[0006] An energy efficiency baseline is fitted based on energy efficiency data from multiple regions. The energy efficiency baseline is a curve showing the change in energy efficiency with single-station flow and / or physical resource block (PRB) utilization.

[0007] The energy efficiency of the multiple regions is determined based on the energy efficiency baseline.

[0008] The energy efficiency assessment device provided in this application includes:

[0009] The fitting unit is used to fit an energy efficiency baseline based on energy efficiency data from multiple regions. The energy efficiency baseline is a curve showing the change in energy efficiency with single-station flow and / or PRB utilization.

[0010] An evaluation unit is used to determine the energy efficiency of the multiple regions based on the energy efficiency baseline.

[0011] The processing device provided in this application includes a processor and a memory, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to execute any of the above-described energy efficiency assessment methods.

[0012] The computer-readable storage medium provided in this application embodiment is used to store a computer program that causes a computer to execute any of the above-described energy efficiency assessment methods.

[0013] In the technical solution of this application embodiment, the energy efficiency baseline is fitted based on energy efficiency data from multiple regions of the existing network, rather than a fixed curve, thus better reflecting the actual development of energy efficiency in the existing network. The method based on the energy efficiency baseline determines the energy efficiency of multiple regions, which is equivalent to setting energy efficiency standards for regions with different traffic levels, effectively solving the problem that energy efficiency comparison cannot be made between regions with different traffic levels. Therefore, compared with the prior art, the technical solution of this application embodiment can more accurately and effectively screen out regions with energy efficiency problems, laying the foundation for improving network energy efficiency. Attached Figure Description

[0014] Figure 1 This is a diagram showing the energy efficiency ranking of different regions;

[0015] Figure 2 This is a flowchart illustrating the energy efficiency assessment method provided in the embodiments of this application. Figure 1 ;

[0016] Figure 3 This is a flowchart illustrating the energy efficiency assessment method provided in the embodiments of this application. Figure 2 ;

[0017] Figure 4 This is a flowchart illustrating the energy efficiency assessment method provided in the embodiments of this application. Figure 3 ;

[0018] Figure 5 This is a schematic diagram of energy efficiency baseline fitting provided in an embodiment of this application;

[0019] Figure 6 This is a schematic diagram of the energy efficiency deviation values ​​for each province provided in the embodiments of this application;

[0020] Figure 7 This is a flowchart illustrating the energy efficiency assessment method provided in the embodiments of this application. Figure 4 ;

[0021] Figure 8 This is a schematic diagram of the structural composition of the energy efficiency assessment device provided in the embodiments of this application;

[0022] Figure 9 This is a schematic structural diagram of a processing device provided in an embodiment of this application. Detailed Implementation

[0023] The technical solutions of the embodiments of this application will now be described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0024] It should be noted that, in the embodiments of this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, in the embodiments of this application, the character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0025] In the description of the embodiments of this application, the term "correspondence" may indicate that there is a direct or indirect correspondence between the two, or that there is an association between the two.

[0026] The "dual carbon" goal is driving mobile communication networks towards superior performance and energy efficiency, necessitating the introduction of green-related assessment and evaluation mechanisms. Energy efficiency (EFE) is gradually becoming a key indicator for operators. From the perspective of wireless network energy efficiency operation and optimization, in addition to assessing equipment energy efficiency and single-site energy efficiency, it is also necessary to conduct horizontal comparisons of energy efficiency in different regional networks to identify areas with energy efficiency problems, and then carry out targeted energy efficiency optimization.

[0027] The common definition of energy efficiency is flow rate / energy consumption, with energy efficiency being directly proportional to flow rate. Due to differences in geographical environment and population density, flow rates vary significantly across different regions. Since flow rate has a major impact on energy efficiency, some regions, even with reasonable network planning and optimization and appropriate application of energy-saving technologies, may still have low energy efficiency levels due to lower flow rates. Conversely, regions with higher flow rates may have higher energy efficiency values, but may still have energy efficiency issues and significant room for optimization. Furthermore, due to the existence of static power consumption, although energy consumption and system load are linear, there is an intercept. Therefore, energy efficiency changes non-linearly with flow rate, meaning that energy efficiency in different regions cannot be compared using a linear conversion of flow rate.

[0028] The current sorting methods for identifying energy efficiency problem areas are inaccurate. Furthermore, current methods cannot identify low energy efficiency issues caused by factors such as equipment problems, base station configuration, or the application of energy-saving features. A solution needs to be found to ensure a fair and reasonable comparison of energy efficiency across regions with different traffic levels, thereby effectively identifying the true energy efficiency problem areas. To this end, the following technical solution, as proposed in this application, is presented.

[0029] The technical solution of this application embodiment collects the single-station flow or PRB utilization rate and energy efficiency value of all areas to be evaluated, and fits the energy efficiency change curve with the single-station flow or PRB utilization rate, i.e., the energy efficiency baseline. By comparing the deviation of the actual energy efficiency of each area from the energy efficiency baseline, the target area with energy efficiency problems is determined.

[0030] Figure 2 This is a flowchart illustrating the energy efficiency assessment method provided in the embodiments of this application. Figure 1 This is applied to an energy efficiency assessment module, which is located on a first platform. This first platform can be a carrier-grade operation and maintenance platform, a carrier-grade network optimization platform, a carrier-grade power-saving platform, a smart power-saving platform, or an energy efficiency monitoring platform, etc. Figure 2 As shown, this energy efficiency assessment method includes the following steps:

[0031] Step 201: Obtain energy efficiency data for multiple regions.

[0032] Here, "region" refers to the area where energy efficiency assessment is to be conducted (referred to as the assessment area). A region can also be described as a geographical area or location area. For example, a region can be divided at a granular level such as province, city, district / county, or specific location. "Region" can also be replaced with "network," for example, a region can be a network of a mobile operator, a provincial network, a city network, or a regional network.

[0033] Each area may contain one or more base stations, which can also be described as sites or wireless master devices. For example, the area to be evaluated includes area 1, area 2 and area 3, where area 1 contains base station 11 and base station 12, area 2 contains base station 21, base station 22 and base station 23, and area 3 contains base station 31.

[0034] Each region may contain one or more cells. For example, the region to be evaluated includes region 1, region 2 and region 3, where region 1 contains cell 11 and cell 12, region 2 contains cell 21, cell 22 and cell 23, and region 3 contains cell 31.

[0035] In some implementations, acquiring energy efficiency data from multiple regions specifically refers to acquiring energy efficiency data for each base station or cell within each of the multiple regions. This energy efficiency data includes, but is not limited to, at least one of the following: traffic volume, PRB utilization rate, and energy consumption. For example, the energy efficiency data for each base station or cell includes: traffic volume and energy consumption.

[0036] In other embodiments, acquiring energy efficiency data from multiple regions specifically refers to acquiring energy efficiency data from each region within those regions. This energy efficiency data includes, but is not limited to, at least the following: traffic volume, PRB utilization rate, energy consumption, and number of base stations. For example, the energy efficiency data for each region includes: the region's traffic volume, number of base stations, and energy consumption.

[0037] It should be noted that, unless otherwise specified, the energy efficiency data described in this article refers to the energy efficiency data statistically obtained within the evaluation period. The aforementioned acquisition of energy efficiency data from multiple regions specifically refers to: acquiring the energy efficiency data of each base station or cell in each region within multiple regions over a period of time; or, acquiring the energy efficiency data of each region within multiple regions over a period of time.

[0038] For example, the traffic / PRB utilization rate of the aforementioned base station (i.e., traffic or PRB utilization rate) refers to the traffic / PRB utilization rate of the base station within the evaluation period. Here, the traffic of the base station within the evaluation period is the sum of the traffic in each measurement period within the evaluation period. The PRB utilization rate of the base station within the evaluation period is the average of the PRB utilization rates in each measurement period within the evaluation period.

[0039] For example: The energy consumption of the base station mentioned above refers to the energy consumption of the base station during the evaluation period. The energy consumption of the base station during the evaluation period is the sum of the energy consumption of the base station in each measurement period during the evaluation period.

[0040] It should be noted that an evaluation cycle may include one or more measurement cycles. A measurement cycle refers to the period during which the base station measures (or collects or statistically analyzes) energy efficiency data (such as traffic / PRB utilization and energy consumption).

[0041] The traffic of a base station during the measurement period refers to the sum of user plane traffic in all cells covered by the base station during the measurement period. User plane traffic includes the sum of uplink and downlink data traffic. For example, uplink data traffic can be uplink Packet Data Convergence Protocol Data Unit (PDCP PDU) or uplink Radio Link Control Service Data Unit (RLC SDU) traffic, and downlink data traffic can be downlink PDC PDU or downlink RLC SDU traffic. The unit of traffic can be bit, byte, megabyte, or gigabyte, etc. Optionally, invalid traffic needs to be excluded from the above user plane traffic. For example, invalid traffic includes retransmitted user plane traffic and / or control plane traffic.

[0042] The energy consumption of a base station during the measurement period is calculated as: the average power of the base station (specifically, it can be the baseband unit (BBU), active antenna unit (AAU), remote radio unit (RRU), BBU+AAU, or BBU+RRU, etc.) during the measurement period multiplied by the duration of the measurement period. Power can be measured in watts (W) or kilowatts (kW), etc. Energy consumption can be measured in joules (J) or kilowatt-hours (kWh), etc.

[0043] The base station's PRB utilization rate within the measurement period is the average of the PRB utilization rates in each scheduling period within the measurement period. The PRB utilization rate within a scheduling period is the number of PRBs scheduled on the bandwidth within that scheduling period divided by the total number of PRBs contained in that bandwidth. PRB utilization can be divided into uplink PRB utilization and downlink PRB utilization, which are statistically analyzed independently.

[0044] It should be noted that the PRB utilization rate mentioned in this article can be the average PRB utilization rate for upward movement, the average PRB utilization rate for downward movement, or the average PRB utilization rate for both upward and downward movement.

[0045] It should be noted that the base station mentioned in this article can be a logical site or a physical site.

[0046] Step 202: Fit an energy efficiency baseline based on energy efficiency data from multiple regions. This energy efficiency baseline is a curve showing the change in energy efficiency with single-station flow and / or PRB utilization rate.

[0047] In this embodiment of the application, the energy efficiency baseline can be fitted using either Scheme 1 or Scheme 2.

[0048] Option 1

[0049] Option 1-1)

[0050] 1) Calculate the traffic and energy consumption of each region based on the traffic and energy consumption of each base station or cell in each region. Alternatively, directly obtain the traffic and energy consumption of each region.

[0051] Here, for each of the multiple regions, the traffic of that region is the sum of the traffic of all base stations in that region. The energy consumption of that region is the sum of the energy consumption of all base stations in that region.

[0052] 2) Calculate the energy efficiency value of each region based on the flow rate and energy consumption of each region.

[0053] Here, for each of the multiple regions, the energy efficiency value of that region is: the energy consumption of that region divided by the flow rate of that region.

[0054] 3) Calculate the average single-site traffic for each region based on the traffic volume and the number of base stations in each region.

[0055] Here, for each of the multiple regions, the average single-site traffic of that region is: the traffic of that region divided by the number of base stations in that region (i.e., the number of base stations contained in that region).

[0056] 4) Fit an energy efficiency baseline based on the average single-station flow and energy efficiency value of each region in multiple regions.

[0057] Option 1-2)

[0058] 1) Calculate the PRB utilization rate and energy consumption of each region based on the PRB utilization rate and energy consumption of each base station or cell in each region. Alternatively, directly obtain the PRB utilization rate and energy consumption of each region.

[0059] Here, for each of the multiple regions, the energy consumption of that region is the sum of the energy consumption of each base station in that region. The PRB utilization rate of that region is the average of the PRB utilization rates of each base station in that region.

[0060] 2) Calculate the energy efficiency value of each region based on the flow rate and energy consumption of each region.

[0061] Here, for each of the multiple regions, the energy efficiency value of that region is: the energy consumption of that region divided by the flow rate of that region.

[0062] 3) Fit an energy efficiency baseline based on the PRB utilization rate and energy efficiency value of each region in multiple regions.

[0063] As one approach, the average single-station flow rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. Based on the energy efficiency data of multiple regions {average single-station flow rate, energy efficiency value}, a curve showing the change of energy efficiency value with the average single-station flow rate is fitted, which is the energy efficiency baseline.

[0064] As another approach, the PRB utilization rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. Based on the energy efficiency data of multiple regions {PRB utilization rate, energy efficiency value}, a curve of the change of energy efficiency value with PRB utilization rate is fitted, which is the energy efficiency baseline.

[0065] In practice, curve fitting can be performed using Python or data statistics software (such as Excel, Tableau, etc.). Energy efficiency data from multiple regions are input into the software, and a curve type is selected from the software's curve type options for fitting. The resulting energy efficiency baseline is the expression (or function) of that curve type. This baseline expression (or function) is simply called the energy efficiency baseline expression (or energy efficiency baseline function). By selecting different curve types (such as polynomial or power function curves), multiple energy efficiency baselines can be fitted. Each baseline has a p-value (representing confidence level) and / or an R-squared value (representing goodness of fit) to characterize its quality. Based on the p-value and / or R-squared value, one baseline is selected from the fitted baselines as the final energy efficiency baseline. The selection principle prioritizes baselines with smaller p-values ​​and / or larger R-squared values. Generally, when p ≤ 0.05, the output of the energy efficiency baseline expression (or energy efficiency baseline function) is considered reliable and free from randomness. The R-squared value indicates the strength of the relationship between the response variable and the dependent variable in the energy efficiency baseline expression (or energy efficiency baseline function). The closer the R-squared value is to 1, the stronger the relationship between the response variable and the dependent variable in the energy efficiency baseline expression (or energy efficiency baseline function).

[0066] Option 2

[0067] 1) Divide the base stations in multiple regions according to their characteristics to obtain multiple groups of base stations. The base station characteristics include at least one of the following: base station type, base station frequency band, number of base station channels, and base station PRB utilization level.

[0068] Here, base station types include, for example, macro base stations, pole-mounted micro base stations, pico base stations, and indoor distributed base stations. Different base station characteristics correspond to different base station categories. That is, base station categories can be classified based on one or more base station characteristics, such as base station type (e.g., macro base station, pole-mounted micro base station, pico base station, indoor distributed base station), base station frequency band (e.g., 4.9G, 2.6G, 700M), base station antenna channel number (e.g., 64TR, 32TR, 8TR, 4TR, 2TR), and base station PRB utilization rate. For base stations in multiple areas, they are grouped according to base station characteristics to obtain multiple groups of base stations, each group corresponding to one base station characteristic. For example, the area to be evaluated includes area 1, area 2, and area 3. Area 1 includes base station 11 (with base station characteristic 1) and base station 12 (with base station characteristic 2); area 2 includes base station 21 (with base station characteristic 1), base station 22 (with base station characteristic 2), and base station 23 (with base station characteristic 3); and area 3 includes base station 31 (with base station characteristic 1). Based on the base station characteristics, the following three groups of base stations can be obtained: Group 1 {base station 11, base station 21, base station 31}, Group 2 {base station 12, base station 22}, and Group 3 {base station 31}. Among them, Group 1 has base station characteristic 1, Group 2 has base station characteristic 2, and Group 3 has base station characteristic 3.

[0069] 2) For each group of base stations in the multiple groups of base stations, calculate the energy efficiency value of each base station based on the traffic and energy consumption of each base station in the group of base stations, or calculate the energy efficiency value of each area based on the traffic and energy consumption of each area in the group of base stations.

[0070] Here, the energy efficiency value of a base station is: the energy consumption of the base station divided by the traffic of the base station.

[0071] Here, the energy efficiency value of a region is: the energy consumption of the region divided by the flow rate of the region.

[0072] 3) For each group of base stations in the multiple groups of base stations, fit the energy efficiency baseline corresponding to the group of base stations based on the single-station traffic and energy efficiency value of each base station in the group of base stations, or fit the energy efficiency baseline corresponding to the group of base stations based on the average single-station traffic and energy efficiency value of each area in the group of base stations, or fit the energy efficiency baseline corresponding to the group of base stations based on the PRB utilization rate and energy efficiency value of each base station in the group of base stations, or fit the energy efficiency baseline corresponding to the group of base stations based on the PRB utilization rate and energy efficiency value of each area in the group of base stations.

[0073] The energy efficiency baseline is fitted according to the base station characteristics. Specifically, for each base station characteristic, the energy efficiency baseline corresponding to the base station type is fitted based on the single-station traffic or average PRB utilization rate and energy efficiency value of each base station in the group of base stations corresponding to the base station characteristic. Alternatively, the energy efficiency baseline corresponding to the base station type is fitted based on the average single-station traffic or average PRB utilization rate and energy efficiency value of each region in the group of base stations corresponding to the base station characteristic. In this way, the energy efficiency baselines corresponding to different base station characteristics can be obtained.

[0074] As one implementation method, the average single-station traffic is used as the horizontal axis and the energy efficiency value is used as the vertical axis. Based on the energy efficiency data {single-station traffic, energy efficiency value} of multiple base stations with the same base station characteristics, the curve of energy efficiency value changing with single-station traffic is fitted to obtain the energy efficiency baseline corresponding to the base station characteristics.

[0075] As another implementation method, the PRB utilization rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. Based on the energy efficiency data {PRB utilization rate, energy efficiency value} of multiple base stations with the same base station characteristics, the curve of the change of energy efficiency value with PRB utilization rate is fitted to obtain the energy efficiency baseline corresponding to the base station characteristics.

[0076] In practice, curve fitting is similar to the first method mentioned above, and can be performed using Python or data statistics software (such as Excel, Tableau, etc.).

[0077] Step 203: Determine the energy efficiency of multiple regions based on the energy efficiency baseline.

[0078] In this application embodiment, the target area with energy efficiency problems can be determined by any one of the following schemes A or B, wherein scheme A can be implemented in combination with the above-mentioned scheme one, and scheme B can be implemented in combination with the above-mentioned scheme two.

[0079] Option A

[0080] 1) Determine the energy efficiency baseline value for each region based on the energy efficiency baseline, and determine the energy efficiency deviation value between the energy efficiency value of each region and the energy efficiency baseline value.

[0081] Here, for each of the multiple regions, the average single-station flow or average PRB utilization rate of that region is substituted into the energy efficiency baseline expression (or energy efficiency baseline function) determined in Scheme 1 to obtain the energy efficiency baseline value for that region; the energy efficiency deviation value for that region is determined based on the following formula:

[0082] The energy efficiency deviation value for this region = (the energy efficiency value for this region - the energy efficiency baseline value for this region) / the energy efficiency baseline value for this region; or...

[0083] The energy efficiency deviation value of the region = (the energy efficiency baseline value of the region - the energy efficiency value of the region) / the energy efficiency baseline value of the region.

[0084] 2) Determine the energy efficiency of multiple regions based on the energy efficiency deviation values ​​of each region.

[0085] Here, the energy efficiency deviation values ​​of each region can be sorted, and the regions ranked in the last N (N is a positive integer) positions, or the regions whose energy efficiency deviation values ​​are less than or equal to a certain threshold Th, can be selected. EE The region is considered an area with energy efficiency problems (i.e., the target area where energy efficiency problems exist).

[0086] Option B

[0087] 1) For each group of base stations in multiple groups of base stations, determine the energy efficiency baseline value of each base station or each area in the group of base stations based on the energy efficiency baseline corresponding to the base station characteristics of the group of base stations, and determine the energy efficiency deviation value between the energy efficiency value of each base station or each area in the group of base stations and the energy efficiency baseline value.

[0088] In some implementations, the single-site traffic or average PRB utilization of the base station is substituted into the energy efficiency baseline expression (or energy efficiency baseline function) corresponding to the base station characteristics determined in Scheme 2 to obtain the energy efficiency baseline value of the base station; the energy efficiency deviation value of the base station is determined based on the following formula:

[0089] The energy efficiency deviation value of the base station = (the energy efficiency value of the base station - the energy efficiency baseline value of the base station) / the energy efficiency baseline value of the base station; or,

[0090] The energy efficiency deviation value of the base station = (the energy efficiency baseline value of the base station - the energy efficiency value of the base station) / the energy efficiency baseline value of the base station.

[0091] In some implementations, the average single-site traffic or average PRB utilization rate of the region is substituted into the energy efficiency baseline expression (or energy efficiency baseline function) corresponding to the base station characteristics of the region determined in Scheme 2 to obtain the energy efficiency baseline value of the region; the energy efficiency deviation value of the region is determined based on the following formula:

[0092] The energy efficiency deviation value for this region = (the energy efficiency value for this region - the energy efficiency baseline value for this region) / the energy efficiency baseline value for this region; or...

[0093] The energy efficiency deviation value of the region = (the energy efficiency baseline value of the region - the energy efficiency value of the region) / the energy efficiency baseline value of the region.

[0094] 2) Based on the energy efficiency deviation between the energy efficiency value of each base station or region in the group and the energy efficiency baseline value, determine the base stations or regions in the group that have energy efficiency problems.

[0095] Here, the energy efficiency deviation values ​​of each base station or each region can be sorted, and those with energy efficiency deviation values ​​less than or equal to a certain threshold Th are selected. EE-site The base station is considered to be a base station or area with energy efficiency problems (i.e., a base station or area with energy efficiency problems).

[0096] 3) Calculate the proportion of base stations with energy efficiency problems in each region to the total number of base stations in that region, and determine the energy efficiency of each region based on the proportion; or, take the proportion of base stations in each region in each group of base stations as the weight of each group of base stations in each region, and then sum the energy efficiency deviation values ​​of each region under the energy efficiency baseline fitted by each group of base stations to obtain the equivalent energy efficiency deviation value of each region.

[0097] Here, for each of the multiple regions, the proportion of energy-inefficient base stations in that region is obtained by dividing the number of energy-inefficient base stations in that region by the total number of base stations in that region. The proportions of each region are then sorted, and those with proportions greater than or equal to a certain threshold (Th) are selected. EE-ratio The regions are considered to have energy efficiency problems (i.e., regions with energy efficiency issues); or the regions are sorted by their equivalent energy efficiency deviation values, and regions with deviations greater than or equal to a certain threshold are considered to have energy efficiency problems.

[0098] Step 2) above can identify base stations with energy efficiency problems. Optionally, step 3) above can also be performed to identify areas with energy efficiency problems.

[0099] Furthermore, after identifying the target areas with energy efficiency issues using the above scheme, these areas can be optimized to improve their energy efficiency. In some implementations, the energy-saving function thresholds for these areas can be adjusted, such as increasing the threshold parameters for entering and exiting energy-saving functions, such as PRB utilization rate and the number of RRC connected users, to improve energy efficiency. Here, during the adjustment of the energy-saving function thresholds, it is necessary to monitor whether the fluctuations in the area's performance indicators are within an acceptable range. If they are within the acceptable range, the energy-saving function thresholds can be adjusted; otherwise, they cannot be adjusted. For example, performance indicators can include packet loss rate, disconnection rate, latency, and speed. It should be noted that raising the energy-saving function thresholds of an area makes it easier for that area to enter the energy-saving function, thereby improving the area's energy efficiency. Taking PRB utilization rate as an example, if the PRB utilization rate is increased from 3% to 5%, then when the area's PRB utilization rate drops to 5%, the area can enter the energy-saving function.

[0100] The technical solution of this application embodiment uses an energy efficiency baseline that is fitted based on current network data, rather than a fixed curve, thus better reflecting the actual development of network energy efficiency. The method based on the energy efficiency baseline is equivalent to setting energy efficiency standards for regions with different traffic levels, effectively solving the problem of not being able to compare energy efficiency across regions with different traffic levels. Therefore, compared with existing technologies, the technical solution of this application embodiment can more accurately and effectively identify areas with energy efficiency problems, laying the foundation for improving the energy efficiency of mobile communication networks.

[0101] Figure 3 This is a flowchart illustrating the energy efficiency assessment method provided in the embodiments of this application. Figure 2 ,like Figure 3 As shown, this energy efficiency assessment method includes the following steps:

[0102] Step 301: Collect energy efficiency data.

[0103] Specifically, data is collected from base stations in multiple regions. The data for each base station includes: base station category and identifier, geographical location (i.e., the region to which the base station belongs), and energy efficiency data. The energy efficiency data includes the base station's traffic or PRB utilization rate and energy consumption in each measurement cycle.

[0104] Here, base station category information may include base station type, base station frequency band, number of base station antenna channels, etc.

[0105] Here, the geographical location of the base station refers to the region to which the base station belongs, including at least one of the following: province, city, district / county, and specific location.

[0106] Here, the definitions of base station traffic or PRB utilization and energy consumption during the measurement period can be found in the aforementioned definitions. Figure 2 Related descriptions.

[0107] As an example, base station data can be referenced in Table 1 below. Received energy efficiency data may include data from multiple base stations as shown in Table 1 below.

[0108]

[0109] Table 1

[0110] Step 302: Aggregate and statistically analyze the energy efficiency data.

[0111] After collecting energy efficiency data from base stations in multiple regions through step 301 above, the energy efficiency data is aggregated and statistically analyzed.

[0112] Here, the aggregated statistics include the first step of statistics, which involves calculating the traffic or average PRB utilization and energy consumption of each base station in multiple regions during the (current) evaluation period. Assume an evaluation period contains N (N≥1) measurement periods. The traffic of a base station in this evaluation period is the sum of the traffic of the base station in the N measurement periods of this evaluation period. The PRB utilization rate of a base station in this evaluation period is the average of the PRB utilization rates of the base station in the N measurement periods of this evaluation period. The energy consumption of a base station in this evaluation period is the sum of the energy consumption of the base station in the N measurement periods of this evaluation period. Further, optionally, the first step of statistics also includes calculating the energy efficiency of each base station in multiple regions during the (current) evaluation period. The energy efficiency of a base station in the evaluation period is the traffic of the base station in this evaluation period divided by the energy consumption of the base station in this evaluation period.

[0113] Optionally, the aggregated statistics also include a second step of statistics, which includes: calculating the traffic or average PRB utilization rate, energy consumption, average single-site traffic, and energy efficiency of each region within multiple regions during the (current) evaluation period. Specifically, the traffic of a region during the evaluation period is the sum of the traffic of all base stations in that region. The average PRB utilization rate of a region during the evaluation period is the average of the PRB utilization rates of all base stations in that region. The energy consumption of a region during the evaluation period is the sum of the energy consumption of all base stations in that region. The average single-site traffic of a region during the evaluation period is the traffic of that region divided by the number of base stations in that region. The energy efficiency of a region during the evaluation period is the traffic of that region divided by the energy consumption of that region.

[0114] Step 303: Fit an energy efficiency baseline based on the energy efficiency data obtained from aggregation.

[0115] Option 1: Fit an energy efficiency baseline based on the average single-station flow or average PRB utilization rate of each region and the energy efficiency value of each region.

[0116] As one approach, the average single-station flow rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. Based on the energy efficiency data of multiple regions {average single-station flow rate, energy efficiency value}, a curve showing the change of energy efficiency value with the average single-station flow rate is fitted, which is the energy efficiency baseline.

[0117] As another approach, the average PRB utilization rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. Based on the energy efficiency data of multiple regions {average PRB utilization rate, energy efficiency value}, a curve of the change of energy efficiency value with the average PRB utilization rate is fitted, which is the energy efficiency baseline.

[0118] Option 2: Using base station type as the dimension, fit the energy efficiency baseline corresponding to each base station type based on the single-site traffic or average PRB utilization rate and energy efficiency value of each base station of each type.

[0119] As one implementation method, the average single-station traffic is used as the horizontal axis and the energy efficiency value is used as the vertical axis. Based on the energy efficiency data {single-station traffic, energy efficiency value} of multiple base stations belonging to the same base station type, the curve of the change of energy efficiency value with single-station traffic is fitted to obtain the energy efficiency baseline corresponding to the base station type.

[0120] As another implementation method, the average PRB utilization rate is used as the horizontal axis and the energy efficiency value is used as the vertical axis. Based on the energy efficiency data {average PRB utilization rate, energy efficiency value} of multiple base stations belonging to the same base station type, the curve of the change of energy efficiency value with the average PRB utilization rate is fitted to obtain the energy efficiency baseline corresponding to the base station type.

[0121] Step 304: Identify energy efficiency problem areas based on the energy efficiency baseline.

[0122] Option A (can be implemented in conjunction with Option 1 above): 1) For each region, substitute the region's average single-station flow or average PRB utilization rate into the energy efficiency baseline expression (or energy efficiency baseline function) determined in Option 1 to obtain the region's energy efficiency baseline value; determine the region's energy efficiency deviation value based on the following formula: Energy efficiency deviation value of the region = (Energy efficiency value of the region - Energy efficiency baseline value of the region) / Energy efficiency baseline value of the region, or Energy efficiency deviation value of the region = (Energy efficiency baseline value of the region - Energy efficiency value of the region) / Energy efficiency baseline value of the region. 2) Sort the energy efficiency deviation values ​​of each region, and consider regions with energy efficiency deviation values ​​less than or equal to a certain threshold ThEE as energy efficiency problem regions.

[0123] Option B (can be combined with Option 2 above): 1) For each base station, substitute the single-station traffic or average PRB utilization rate of the base station into the energy efficiency baseline expression (or energy efficiency baseline function) corresponding to the base station characteristics determined in Option 2 to obtain the energy efficiency baseline value of the base station; determine the energy efficiency deviation value of the base station based on the following formula: Energy efficiency deviation value of the base station = (Energy efficiency value of the base station - Energy efficiency baseline value of the base station) / Energy efficiency baseline value of the base station, or Energy efficiency deviation value of the base station = (Energy efficiency baseline value of the base station - Energy efficiency value of the base station) / Energy efficiency baseline value of the base station. 2) Sort the energy efficiency deviation values ​​of each base station, and select those with energy efficiency deviation values ​​less than or equal to a certain threshold Th. EE-site The base stations are considered to have energy efficiency problems. 3) Statistically calculate the proportion of energy efficiency problem base stations in each region, sort the proportions of each region, and classify the base stations with a proportion greater than or equal to a certain threshold. EE-ratio The region is considered an area with energy efficiency problems.

[0124] Step 305: Optimize the energy efficiency problem area.

[0125] Here, energy-saving thresholds for areas with energy efficiency issues can be adjusted. For example, increasing threshold parameters for entering and exiting energy-saving functions, such as PRB utilization rate and the number of RRC connected users, can improve energy efficiency. During the adjustment of energy-saving thresholds, it's necessary to monitor whether the area's performance indicators fluctuate within an acceptable range. If they are within the acceptable range, the energy-saving threshold can be adjusted; otherwise, it cannot. For example, performance indicators can include packet loss rate, disconnection rate, latency, and speed. It should be noted that raising the energy-saving threshold for a region makes it easier for that region to enter energy-saving mode, thereby improving its energy efficiency. For example, increasing PRB utilization rate from 3% to 5% means that when the region's PRB utilization rate drops to 5%, the region can enter energy-saving mode.

[0126] The technical solutions of this application embodiment are illustrated below with specific application examples. In the following application examples, energy efficiency assessment is performed at the province level as the regional granularity.

[0127] Application Example 1

[0128] This application example uses Scheme 1 and Scheme A as described above. For example... Figure 4 As shown, the carrier-grade power-saving platform is equipped with an energy efficiency assessment module. The carrier-grade power-saving platform can also be described as a carrier-grade operation and maintenance platform, an intelligent power-saving platform, or an energy efficiency monitoring platform, etc. The network operation and maintenance center (OMC) can also be described as a provincial-level power-saving platform or a provincial-level operation and maintenance platform, etc. The energy efficiency assessment method in this application example includes the following steps:

[0129] Step 401: The energy efficiency assessment module determines the assessment period and the province to be assessed, and sends an energy efficiency data collection request to the OMC of the province to be assessed; the OMC then sends an energy efficiency data collection request to the base station.

[0130] Here, the energy efficiency data collection request sent by the energy efficiency assessment module may include at least one of the following information: the energy efficiency assessment cycle, the base station measurement cycle, the base station reporting cycle, the OMC reporting cycle, the base station category and identifier, the base station location information, and the type of energy efficiency data that the base station needs to collect. Here, the types of energy efficiency data include traffic or PRB utilization rate and energy consumption.

[0131] Here, the energy efficiency data collection request sent by the OMC may include at least one of the following information: the energy efficiency assessment cycle, the base station measurement cycle, the base station reporting cycle, the base station category and identifier, the base station location information, and the type of energy efficiency data that the base station needs to collect. Here, the types of energy efficiency data include traffic or PRB utilization rate and energy consumption.

[0132] It should be noted that the information carried in the energy efficiency data collection request sent by the OMC can be the same as, different from, or partially the same as the information carried in the energy efficiency data collection request sent by the energy efficiency assessment module. The OMC can determine the information in the energy efficiency data collection request sent to the base station based on the information in the energy efficiency data collection request from the energy efficiency assessment module.

[0133] Step 402: The base station collects traffic or PRB utilization and energy consumption in each measurement cycle according to the measurement cycle.

[0134] Step 403: The base station reports the collected data to the OMC according to its reporting cycle, including: base station type and identifier, geographical location of the base station, measurement time of the base station in each measurement cycle, traffic or PRB utilization rate and energy consumption.

[0135] Step 404: After the OMC aggregates and statistically analyzes the received data, it reports it to the energy efficiency assessment module according to its reporting cycle.

[0136] Here, OMC can aggregate and statistically analyze the received data according to the evaluation period. Specifically, assume that an evaluation period contains N (N≥1) measurement periods. The base station's traffic in this evaluation period is: the sum of the base station's traffic in the N measurement periods of this evaluation period. The base station's PRB utilization rate in this evaluation period is: the average of the base station's PRB utilization rates in the N measurement periods of this evaluation period. The base station's energy consumption in this evaluation period is: the sum of the base station's energy consumption in the N measurement periods of this evaluation period. The base station's energy efficiency in this evaluation period is: the base station's energy consumption in this evaluation period divided by the base station's traffic in this evaluation period.

[0137] Step 405: The energy efficiency assessment module further aggregates and statistically analyzes the received data, namely, the flow or average PRB utilization rate, energy consumption, average single-station flow, and energy efficiency of the statistical province during the (current) assessment period.

[0138] Here, the province's traffic during the assessment period is: the sum of the traffic of all base stations in that province. The province's average PRB utilization rate during the assessment period is: the average PRB utilization rate of all base stations in that province. The province's energy consumption during the assessment period is: the sum of the energy consumption of all base stations in that province. The province's average traffic per base station during the assessment period is: the province's traffic divided by the number of base stations in that province. The province's energy efficiency during the assessment period is: the province's energy consumption divided by the province's traffic.

[0139] Step 406: The energy efficiency assessment module fits the energy efficiency baseline based on the data obtained from the aggregated statistics.

[0140] Here, since network energy efficiency is a comprehensive reflection of individual station energy efficiency, and individual station energy efficiency is strongly correlated with individual station traffic and PRB utilization rate, the energy efficiency baseline is fitted by using the average individual station traffic or average PRB utilization rate and energy efficiency value of all provinces to be evaluated.

[0141] Curve fitting can be performed using Python or data statistics software (such as Excel, Tableau, etc.). For example, using average single-station flow as the x-axis and energy efficiency value as the y-axis, energy efficiency data {average single-station flow, energy efficiency value} from multiple provinces can be input into the software. The software can then fit a curve showing the change in energy efficiency value with average single-station flow (i.e., the energy efficiency baseline). Figure 5 As shown, the expression (or function) of this energy efficiency baseline is simply referred to as the energy efficiency baseline expression (or energy efficiency baseline function).

[0142] Step 407: The energy efficiency assessment module identifies provinces with energy efficiency problems based on the energy efficiency baseline.

[0143] Specifically, 1) Substitute the average single-station flow value of each province into the energy efficiency baseline expression determined in step 406 above to calculate the energy efficiency baseline value of each province; 2) Calculate the energy efficiency deviation value between the energy efficiency value of each province and the corresponding energy efficiency baseline value according to the following formula: Energy efficiency deviation value of a province = (Energy efficiency value of the province - Energy efficiency baseline value of the province) / Energy efficiency baseline value of the province, or Energy efficiency deviation value of a province = (Energy efficiency baseline value of the province - Energy efficiency value of the province) / Energy efficiency baseline value of the province; 3) Sort the energy efficiency deviation values ​​of each province, and consider provinces with energy efficiency deviation values ​​less than or equal to a certain threshold ThEE as provinces with energy efficiency problems, such as... Figure 6 As shown.

[0144] Furthermore, provinces with energy efficiency issues can be displayed in the form of a list or map on the front-end interface of the operator-level energy-saving platform.

[0145] Step 408: The energy efficiency assessment module feeds back the energy efficiency assessment results to the OMC, that is, it reports the provinces with energy efficiency problems to the OMC.

[0146] Step 409: If the fluctuation of OMC monitoring performance indicators is within an acceptable range, increase the threshold parameters for the base station to enter and exit energy-saving functions.

[0147] Here, threshold parameters include, for example, PRB utilization rate and the number of RRC connected users. During the adjustment of energy-saving function thresholds, it is necessary to monitor whether the fluctuations in the region's performance indicators are within an acceptable range. If they are within the acceptable range, the energy-saving function threshold can be adjusted; otherwise, it cannot be adjusted. For example, performance indicators may include packet loss rate, disconnection rate, latency, and speed. It should be noted that raising the energy-saving function threshold for a region makes it easier for that region to activate energy-saving functions, thereby improving the region's energy efficiency. Taking PRB utilization rate as an example, increasing the PRB utilization rate from 3% to 5% means that when the region's PRB utilization rate drops to 5%, the region can activate energy-saving functions.

[0148] Application Example 2

[0149] This application example uses Scheme 2 and Scheme B as described above. For example... Figure 7 As shown, the carrier-grade energy-saving platform is equipped with an energy efficiency assessment module. The carrier-grade energy-saving platform can also be described as a carrier-grade operation and maintenance platform, a smart energy-saving platform, or an energy efficiency monitoring platform, etc. The OMC can also be described as a provincial-level energy-saving platform or a provincial-level operation and maintenance platform, etc. The energy efficiency assessment method in this application example includes the following steps:

[0150] Step 701: The energy efficiency assessment module determines the assessment period and the province to be assessed, and sends an energy efficiency data collection request to the OMC of the province to be assessed; the OMC then sends an energy efficiency data collection request to the base station.

[0151] Here, the energy efficiency data collection request sent by the energy efficiency assessment module may include at least one of the following information: the energy efficiency assessment cycle, the base station measurement cycle, the base station reporting cycle, the OMC reporting cycle, the base station category and identifier, the base station location information, and the type of energy efficiency data that the base station needs to collect. Here, the types of energy efficiency data include traffic or PRB utilization rate and energy consumption.

[0152] Here, the energy efficiency data collection request sent by the OMC may include at least one of the following information: the energy efficiency assessment cycle, the base station measurement cycle, the base station reporting cycle, the base station category and identifier, the base station location information, and the type of energy efficiency data that the base station needs to collect. Here, the types of energy efficiency data include traffic or PRB utilization rate and energy consumption.

[0153] It should be noted that the information carried in the energy efficiency data collection request sent by the OMC can be the same as, different from, or partially the same as the information carried in the energy efficiency data collection request sent by the energy efficiency assessment module. The OMC can determine the information in the energy efficiency data collection request sent to the base station based on the information in the energy efficiency data collection request from the energy efficiency assessment module.

[0154] Step 702: The base station collects traffic or PRB utilization and energy consumption in each measurement cycle according to the measurement cycle.

[0155] Step 703: The base station reports the collected data to the OMC according to its reporting cycle, including: base station type and identifier, geographical location of the base station, measurement time of the base station in each measurement cycle, traffic or PRB utilization rate and energy consumption.

[0156] Step 704: After the OMC aggregates and statistically analyzes the received data, it reports it to the energy efficiency assessment module according to its reporting cycle.

[0157] Here, OMC can aggregate and statistically analyze the received data according to the evaluation period. Specifically, assume that an evaluation period contains N (N≥1) measurement periods. The base station's traffic in this evaluation period is: the sum of the base station's traffic in the N measurement periods of this evaluation period. The base station's PRB utilization rate in this evaluation period is: the average of the base station's PRB utilization rates in the N measurement periods of this evaluation period. The base station's energy consumption in this evaluation period is: the sum of the base station's energy consumption in the N measurement periods of this evaluation period. The base station's energy efficiency in this evaluation period is: the base station's energy consumption in this evaluation period divided by the base station's traffic in this evaluation period.

[0158] Step 705: The energy efficiency assessment module fits the energy efficiency baseline based on the data obtained from the aggregated statistics.

[0159] Curve fitting can be performed using Python or data statistics software (such as Excel, Tableau, etc.). For example, the average single-station traffic is used as the x-axis, the energy efficiency value is used as the y-axis, and the base station type is used as the dimension. The energy efficiency data {single-station traffic, energy efficiency value} of each base station of each base station type is input into the software, and the software fits the curve of the change of energy efficiency value with average single-station traffic for the base station type (i.e., the energy efficiency baseline). The expression (or function) of the energy efficiency baseline is simply called the energy efficiency baseline expression (or energy efficiency baseline function).

[0160] Step 706: The energy efficiency assessment module determines the provinces with energy efficiency problems based on the energy efficiency baseline.

[0161] Specifically, 1) Substitute the single-site traffic value of each base station into the energy efficiency baseline expression determined in step 705 above, according to the base station type, to calculate the energy efficiency baseline value of each base station; 2) Calculate the energy efficiency deviation value between the energy efficiency value of each base station and the corresponding energy efficiency baseline value according to the following formula: Energy efficiency deviation value of base station = (Energy efficiency value of the base station - Energy efficiency baseline value of the base station) / Energy efficiency baseline value of the base station, or Energy efficiency deviation value of base station = (Energy efficiency baseline value of the base station - Energy efficiency value of the base station) / Energy efficiency baseline value of the base station; 3) Sort the energy efficiency deviation values ​​of each base station, and select those with energy efficiency deviation values ​​less than or equal to a certain threshold Th.EE-site 4) Calculate the proportion of energy-efficient base stations in each province, sort the proportions of each province, and classify the base stations with a proportion greater than or equal to a certain threshold. EE-ratio The provinces that consider energy efficiency issues to be problematic.

[0162] Furthermore, provinces with energy efficiency issues can be displayed in the form of a list or map on the front-end interface of the operator-level energy-saving platform.

[0163] Step 707: The energy efficiency assessment module feeds back the energy efficiency assessment results to the OMC, that is, it reports the provinces with energy efficiency problems to the OMC.

[0164] Step 708: If the fluctuation of OMC monitoring performance indicators is within an acceptable range, increase the threshold parameters for the base station to enter and exit energy-saving functions.

[0165] Here, threshold parameters include, for example, PRB utilization rate and the number of RRC connected users. During the adjustment of energy-saving function thresholds, it is necessary to monitor whether the fluctuations in the region's performance indicators are within an acceptable range. If they are within the acceptable range, the energy-saving function threshold can be adjusted; otherwise, it cannot be adjusted. For example, performance indicators may include packet loss rate, disconnection rate, latency, and speed. It should be noted that raising the energy-saving function threshold for a region makes it easier for that region to activate energy-saving functions, thereby improving the region's energy efficiency. Taking PRB utilization rate as an example, increasing the PRB utilization rate from 3% to 5% means that when the region's PRB utilization rate drops to 5%, the region can activate energy-saving functions.

[0166] The technical solution of this application embodiment adds an energy efficiency assessment module to the carrier-grade operation and maintenance platform. Energy efficiency data is collected from the base station by the OMC of the area to be assessed. The energy efficiency assessment module fits a curve of energy efficiency value changing with single-site traffic or PRB utilization rate based on the collected energy efficiency data, i.e., an energy efficiency baseline. By comparing the deviation of the actual energy efficiency of each area from the corresponding energy efficiency baseline, energy efficiency problem areas are identified. Furthermore, the OMC adjusts the parameter thresholds of energy-saving functions according to the energy efficiency assessment results, thereby improving network energy efficiency. Using the technical solution of this application embodiment, on the one hand, energy efficiency comparison is performed by aligning areas with the same traffic level, and different energy efficiency standards are set for areas with different traffic levels, which can effectively help operators screen out the real energy efficiency problem areas; on the other hand, the energy efficiency baseline is fitted based on current network data, rather than a fixed curve, thus better reflecting the actual development of network energy efficiency.

[0167] Figure 8 This is a schematic diagram of the structural composition of the energy efficiency assessment device provided in the embodiments of this application, as shown below. Figure 8 As shown, the device includes:

[0168] The fitting unit 802 is used to fit an energy efficiency baseline based on energy efficiency data from multiple regions, wherein the energy efficiency baseline is a curve showing the change in energy efficiency with single-station flow and / or PRB utilization rate.

[0169] Evaluation unit 803 is used to determine the energy efficiency of the plurality of regions based on the energy efficiency baseline.

[0170] In some embodiments, the apparatus further includes an acquisition unit 801 for acquiring energy efficiency data for multiple regions.

[0171] In some implementations, the acquisition unit 801 is specifically used to acquire energy efficiency data of each base station in each region or cell of multiple regions; or to acquire energy efficiency data of each region in multiple regions; wherein the energy efficiency data includes at least one of the following: traffic, PRB utilization rate, energy consumption, and number of base stations.

[0172] In some implementations, the acquisition unit 801 is used to acquire energy efficiency data of each base station or cell in each of multiple regions over a period of time; or, to acquire energy efficiency data of each region in multiple regions over a period of time.

[0173] In some embodiments, the apparatus further includes: a first aggregation statistics unit 804, configured to calculate the traffic of each region based on the traffic of each base station or cell in each region; and / or, calculate the energy consumption of each region based on the energy consumption of each base station or cell in each region; and / or, calculate the PRB utilization rate of each region based on the PRB utilization rate of each base station or cell in each region.

[0174] In some implementations, the first aggregation statistics unit 804 is further configured to calculate the energy efficiency value of each region based on the traffic of each region and the energy consumption of each region; and / or to calculate the average single-site traffic of each region based on the traffic of each region and the number of base stations in each region.

[0175] In some embodiments, the fitting unit 802 is used to fit an energy efficiency baseline based on the average single-station flow rate of each region in the plurality of regions and the energy efficiency value of each region; or, to fit an energy efficiency baseline based on the PRB utilization rate of each region in the plurality of regions and the energy efficiency value of each region.

[0176] In some embodiments, the evaluation unit 803 is used to determine the energy efficiency baseline value of each region based on the energy efficiency baseline, and to determine the energy efficiency deviation value between the energy efficiency value of each region and the energy efficiency baseline value; and to determine the energy efficiency quality of the multiple regions based on the energy efficiency deviation value of each region.

[0177] In some embodiments, the apparatus further includes a second aggregation and statistics unit 805, used to calculate the energy efficiency value of each base station based on the traffic of each base station and the energy consumption of each base station.

[0178] In some embodiments, the apparatus further includes: a partitioning unit, configured to partition each base station in the plurality of regions according to base station characteristics to obtain multiple groups of base stations, wherein the base station characteristics include at least one of the following: base station type, base station frequency band, number of base station channels, and base station PRB utilization level.

[0179] In some embodiments, the fitting unit 802 is configured to, for each of the multiple groups of base stations, fit an energy efficiency baseline corresponding to that group of base stations based on the single-station traffic and energy efficiency value of each base station in that group; fit an energy efficiency baseline corresponding to that group of base stations based on the average single-station traffic and energy efficiency value of each area in that group of base stations; or, fit an energy efficiency baseline corresponding to that group of base stations based on the PRB utilization rate and energy efficiency value of each base station in that group; or, fit an energy efficiency baseline corresponding to that group of base stations based on the PRB utilization rate and energy efficiency value of each area in that group of base stations.

[0180] In some implementations, the evaluation unit 803 is used to determine the energy efficiency baseline value of each base station or region in the group of base stations based on the energy efficiency baseline corresponding to the base station characteristics of the group of base stations, and to determine the energy efficiency deviation value between the energy efficiency value of each base station or region in the group of base stations and the energy efficiency baseline value; and to determine the base station or region in the group of base stations with energy efficiency problems based on the energy efficiency deviation value between the energy efficiency value of each base station or region in the group of base stations and the energy efficiency baseline value.

[0181] In some implementations, the evaluation unit 803 is used to count the proportion of base stations with energy efficiency problems in each of the multiple regions to the total number of base stations in that region, and to determine the energy efficiency of the multiple regions based on the proportion.

[0182] In some implementations, the energy efficiency deviation value is determined based on the following formula: energy efficiency deviation value = (energy efficiency value - energy efficiency baseline value) / energy efficiency baseline value, or energy efficiency deviation value = (energy efficiency baseline value - energy efficiency value) / energy efficiency baseline value.

[0183] Those skilled in the art should understand that Figure 8 The functions of each unit in the energy efficiency assessment device shown can be understood by referring to the relevant descriptions of the aforementioned methods. Figure 8 The functions of each unit in the energy efficiency assessment device shown can be realized through a program running on a processor or through specific logic circuits.

[0184] Figure 9 This is a schematic structural diagram of a processing device 900 provided in an embodiment of this application. Figure 9 The processing device 900 shown includes a processor 910, which can call and run computer programs from memory to implement the methods in the embodiments of this application.

[0185] Optionally, such as Figure 9 As shown, the processing device 900 may further include a memory 920. The processor 910 can retrieve and run computer programs from the memory 920 to implement the methods described in the embodiments of this application.

[0186] The memory 920 can be a separate device independent of the processor 910, or it can be integrated into the processor 910.

[0187] Optionally, such as Figure 9 As shown, the processing device 900 may also include a transceiver 930, which the processor 910 can control to communicate with other devices. Specifically, it can send information or data to other devices or receive information or data sent by other devices.

[0188] The transceiver 930 may include a transmitter and a receiver. The transceiver 930 may further include antennas, and the number of antennas may be one or more.

[0189] The processing device 900 may specifically be the first platform in the embodiments of this application (such as an operator-level operation and maintenance platform, an operator-level power-saving platform, an intelligent power-saving platform, or an energy efficiency monitoring platform, etc.), and the processing device 900 can implement the corresponding processes implemented by the energy efficiency assessment module in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0190] It should be understood that the processor in the embodiments of this application may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The processor described above can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0191] It is understood that the memory in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DR RAM). It should be noted that the memory used in the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0192] It should be understood that the above-described memory is exemplary and not a limiting description. For example, the memory in the embodiments of this application may also be static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DR RAM), etc. That is to say, the memory in the embodiments of this application is intended to include, but is not limited to, these and any other suitable types of memory.

[0193] This application also provides a computer-readable storage medium for storing a computer program. This computer-readable storage medium can be applied to the energy efficiency assessment module in the embodiments of this application, and the computer program causes a computer to execute the corresponding processes implemented by the energy efficiency assessment module in the various methods of the embodiments of this application. For the sake of brevity, further details are omitted here.

[0194] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0195] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0196] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0197] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0198] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0199] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0200] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An energy efficiency assessment method, characterized in that, The method includes: An energy efficiency baseline is fitted based on energy efficiency data from multiple regions. The energy efficiency baseline is a curve showing the change in energy efficiency with single-station flow and / or physical resource block (PRB) utilization. The energy efficiency of the multiple regions is determined based on the energy efficiency baseline. The step of determining the energy efficiency of the multiple regions based on the energy efficiency baseline includes: Based on the energy efficiency baseline, determine the energy efficiency baseline value for each of the plurality of regions, and determine the energy efficiency deviation value and / or percentage deviation value between the energy efficiency value of each region and the energy efficiency baseline value; based on the energy efficiency deviation value and / or percentage deviation value of each region, determine the energy efficiency quality of the plurality of regions; or, For each group of base stations in the multiple regions, the energy efficiency baseline value of each base station or region in the group is determined based on the energy efficiency baseline corresponding to the base station characteristics of the group, and the energy efficiency deviation value and / or percentage of the energy efficiency deviation value of each base station or region in the group is determined from the energy efficiency baseline value. Based on the energy efficiency deviation value and / or percentage of the energy efficiency deviation value of each base station or region in the group, the base stations or regions in the group with energy efficiency problems are determined. Among them, the base stations in the multiple regions are divided according to the base station characteristics to obtain the multiple groups of base stations. The base station characteristics include at least one of the following: base station type, base station frequency band, number of base station channels, and base station PRB utilization level. The energy efficiency deviation value and / or energy efficiency deviation percentage are determined based on the following formulas: energy efficiency deviation percentage = (energy efficiency value - energy efficiency baseline value) / energy efficiency baseline value, or energy efficiency deviation percentage = (energy efficiency baseline value - energy efficiency value) / energy efficiency baseline value, or energy efficiency deviation value = energy efficiency baseline value - energy efficiency value, or energy efficiency deviation value = energy efficiency value - energy efficiency baseline value.

2. The method according to claim 1, characterized in that, The method further includes: Obtain energy efficiency data for each base station or cell in each of multiple regions; or, obtain energy efficiency data for each region in multiple regions. The energy efficiency data includes at least one of the following: traffic, PRB utilization rate, energy consumption, and number of base stations.

3. The method according to claim 2, characterized in that, The method further includes: Calculate the traffic in each region based on the traffic of each base station or cell in each region; and / or, Calculate the energy consumption of each region based on the energy consumption of each base station or cell in each region; and / or, The PRB utilization rate of each region is calculated based on the PRB utilization rate of each base station or cell in each region.

4. The method according to claim 2 or 3, characterized in that, The method further includes: Calculate the energy efficiency value of each region based on the flow rate and energy consumption of each region; and / or, The average single-site traffic for each region is calculated based on the traffic volume in each region and the number of base stations in each region.

5. The method according to claim 4, characterized in that, The process of fitting an energy efficiency baseline based on energy efficiency data from multiple regions includes: An energy efficiency baseline is fitted based on the average single-station flow rate and energy efficiency value of each of the multiple regions; or... An energy efficiency baseline is fitted based on the PRB utilization rate and energy efficiency value of each of the multiple regions.

6. The method according to claim 2, characterized in that, The method further includes: The energy efficiency value of each base station is calculated based on the traffic and energy consumption of each base station.

7. The method according to claim 6, characterized in that, The process of fitting an energy efficiency baseline based on energy efficiency data from multiple regions includes: For each of the multiple groups of base stations, based on the single-site traffic and energy efficiency values ​​of each base station in that group, a corresponding energy efficiency baseline is fitted; or, For each of the multiple groups of base stations, based on the average single-station traffic and energy efficiency value of each area in that group, a corresponding energy efficiency baseline is fitted; or, For each of the multiple groups of base stations, based on the PRB utilization rate and energy efficiency value of each base station in that group, a corresponding energy efficiency baseline is fitted; or, For each of the multiple groups of base stations, an energy efficiency baseline is fitted based on the PRB utilization rate and energy efficiency value of each region in that group of base stations.

8. The method according to claim 7, characterized in that, The step of determining the energy efficiency of the multiple regions based on the energy efficiency baseline also includes: The proportion of base stations with energy efficiency problems in each of the multiple regions is statistically analyzed to determine the energy efficiency of the multiple regions based on the proportions.

9. An energy efficiency assessment device, characterized in that, The device includes: The fitting unit is used to fit an energy efficiency baseline based on energy efficiency data from multiple regions. The energy efficiency baseline is a curve showing the change in energy efficiency with single-station flow and / or PRB utilization. An evaluation unit is used to determine the energy efficiency of the multiple regions based on the energy efficiency baseline. The evaluation unit is configured to determine the energy efficiency baseline value for each of the plurality of regions based on the energy efficiency baseline, and to determine the energy efficiency deviation value and / or percentage of the energy efficiency deviation between the energy efficiency value of each region and the energy efficiency baseline value; and to determine the energy efficiency quality of the plurality of regions based on the energy efficiency deviation value and / or percentage of the energy efficiency deviation; or, The evaluation unit is configured to, for each group of base stations in the multiple regions, determine the energy efficiency baseline value of each base station or region in that group of base stations based on the energy efficiency baseline corresponding to the base station characteristics of that group of base stations, and determine the energy efficiency deviation value and / or percentage of energy efficiency deviation between the energy efficiency value of each base station or region in that group of base stations and the energy efficiency baseline value; and determine the base stations or regions in that group of base stations with energy efficiency problems based on the energy efficiency deviation value and / or percentage of energy efficiency deviation between the energy efficiency value of each base station or region in that group of base stations and the energy efficiency baseline value. A partitioning unit is used to partition each base station in the multiple regions according to base station characteristics to obtain the multiple groups of base stations. The base station characteristics include at least one of the following: base station type, base station frequency band, number of base station channels, and base station PRB utilization level. The energy efficiency deviation value and / or energy efficiency deviation percentage are determined based on the following formulas: energy efficiency deviation percentage = (energy efficiency value - energy efficiency baseline value) / energy efficiency baseline value, or energy efficiency deviation percentage = (energy efficiency baseline value - energy efficiency value) / energy efficiency baseline value, or energy efficiency deviation value = energy efficiency baseline value - energy efficiency value, or energy efficiency deviation value = energy efficiency value - energy efficiency baseline value.

10. A processing apparatus, characterized in that, include: A processor and a memory for storing a computer program, the processor for calling and running the computer program stored in the memory to perform the method as described in any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that, Used to store a computer program that causes a computer to perform the method as described in any one of claims 1 to 8.

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