Comprehensive energy efficiency evaluation method and system for 5G energy-saving base station

Abstract

The invention discloses a comprehensive energy efficiency evaluation method and system for a 5G energy-saving base station, and belongs to the technical field of energy efficiency evaluation. According to the comprehensive energy efficiency evaluation method for the 5G energy-saving base station, factors influencing the energy consumption of the 5G energy-saving base station are fully considered, and dynamic energy consumption factors and static energy consumption factors of the 5G base station are comprehensively considered by constructing a scene factor acquisition model, a 5G base station energy consumption simulation model, an energy efficiency evaluation system construction model and a comprehensive energy consumption evaluation model; on the basis of a'static 'energy efficiency model, 'dynamic' energy consumption elements of the 5G energy-saving base station are coupled, and a comprehensive energy efficiency evaluation system of the 5G energy-saving base station is constructed, so that an accurate comprehensive energy efficiency evaluation value of the 5G energy-saving base station can be obtained, the energy efficiency level of the actual performance of equipment of the 5G energy-saving base station can be accurately reflected, accurate evaluation of the energy efficiency of the 5G energy-saving base station is realized, and the energy efficiency of the 5G energy-saving base station is improved. And a reference basis is provided for scientific evaluation of energy conservation and emission reduction of the communication base station.

Description

Technical Field

[0001] The present invention relates to a comprehensive energy efficiency evaluation method and system for 5G energy-saving base stations, belonging to the technical field of energy efficiency evaluation. Background Art

[0002] With the rapid development of green and low-carbon energy and the in-depth promotion of the digital economy, as a new generation of communication technology, the 5G network is gradually becoming the core of building digital infrastructure. The high bandwidth and low latency characteristics of the 5G network provide a basis for the expansion of various application scenarios, and the number of base stations supporting the 5G network is growing exponentially. However, while 5G energy-saving base stations support the digital transformation of various fields of society, their energy consumption and carbon emission problems are becoming increasingly prominent, and have become a key challenge for the communication industry to achieve the "dual carbon" goal. Against the background of China's strive to achieve the "dual carbon" goal, it is particularly important to accurately evaluate the comprehensive energy efficiency level of 5G energy-saving base stations and provide data support for improving the energy efficiency of 5G energy-saving base stations.

[0003] The comprehensive energy efficiency of 5G energy-saving base stations involves multiple aspects, including equipment energy efficiency, network energy efficiency, and the application and evaluation of their energy-saving technologies. At present, traditional energy efficiency evaluation methods cannot be used to evaluate the energy efficiency of networks with more complex operating scenarios. There is an urgent need to carry out research on the construction of a systematic evaluation index system and energy efficiency evaluation, and develop scientific and reasonable comprehensive energy efficiency evaluation indexes and methods for 5G energy-saving base stations.

[0004] The information disclosed in this background art is only used to understand the background of the inventive concept, and thus it may include information that does not constitute the prior art. Summary of the Invention

[0005] Aiming at the above problems or one of the above problems, the first object of the present invention is to provide a comprehensive energy efficiency evaluation method and system for 5G energy-saving base stations, which fully considers the factors affecting the energy consumption of 5G energy-saving base stations. By constructing a scenario factor acquisition model, a 5G base station energy consumption simulation model, an energy efficiency evaluation system construction model, and a comprehensive energy consumption evaluation model, comprehensively considering the dynamic energy consumption factors and static energy consumption factors of 5G base stations, and constructing a comprehensive energy efficiency evaluation system for 5G energy-saving base stations, so as to obtain an accurate comprehensive energy efficiency evaluation value of 5G energy-saving base stations, accurately reflect the energy efficiency level of the actual performance of 5G energy-saving base station equipment, realize the accurate evaluation of the energy efficiency of 5G energy-saving base stations, and provide a reference basis for the scientific evaluation of energy conservation and emission reduction of communication base stations.

[0006] In view of the above problems or one of the above problems, the second object of the present invention is to provide a comprehensive energy efficiency evaluation method and system for 5G energy-saving base stations, breaking through the limitations of existing evaluation models, based on a "static" energy efficiency model, coupling the "dynamic" energy consumption factors of 5G energy-saving base stations, and forming a comprehensive energy efficiency evaluation method that comprehensively considers the static and dynamic energy consumption of 5G energy-saving base stations through a number of simulation models, so as to be applicable to the energy efficiency evaluation of 5G base stations, and thus accurately evaluate the energy efficiency level of 5G base stations.

[0007] To achieve one of the above objects, the first technical solution of the present invention is:

[0008] A comprehensive energy efficiency evaluation method for 5G energy-saving base stations, comprising the following steps:

[0009] Step 1, process the parameter information of a certain 5G energy-saving base station through a pre-constructed scenario factor acquisition model to obtain the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station;

[0010] Step 2, use a pre-constructed 5G base station energy consumption simulation model to establish an energy consumption calculation expression and constraint conditions for the 5G energy-saving base station according to the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station;

[0011] Step 3, adopt a pre-constructed energy efficiency evaluation system construction model, based on the energy consumption calculation expression and constraint conditions of the 5G energy-saving base station, extract several evaluation indicators affecting energy consumption, and construct a comprehensive energy efficiency evaluation system for the 5G energy-saving base station;

[0012] Step 4, use a pre-constructed comprehensive energy consumption evaluation model to conduct a comprehensive energy consumption evaluation of a certain 5G energy-saving base station according to the comprehensive energy efficiency evaluation system of the 5G energy-saving base station, and obtain the comprehensive energy efficiency evaluation value of the 5G energy-saving base station.

[0013] Through continuous exploration and experiments, the present invention fully considers the factors affecting the energy consumption of 5G energy-saving base stations. By constructing a scenario factor acquisition model, a 5G base station energy consumption simulation model, an energy efficiency evaluation system construction model, and a comprehensive energy consumption evaluation model, comprehensively considering the dynamic and static energy consumption factors of 5G base stations, and constructing a comprehensive energy efficiency evaluation system for 5G energy-saving base stations, so as to obtain an accurate comprehensive energy efficiency evaluation value of 5G energy-saving base stations, accurately reflect the energy efficiency level of the actual performance of 5G energy-saving base station equipment, realize the accurate evaluation of the energy efficiency of 5G energy-saving base stations, and provide a reference basis for the scientific evaluation of energy conservation and emission reduction of communication base stations.

[0014] The present invention breaks through the limitations of existing evaluation models. Based on the "static" energy efficiency model, it couples the "dynamic" energy consumption factors of 5G energy-saving base stations, and through a number of simulation models, forms a comprehensive energy efficiency evaluation method that comprehensively considers the static and dynamic energy consumption of 5G energy-saving base stations, so that it can be applied to the energy efficiency evaluation of 5G base stations, and thus can accurately evaluate the energy efficiency level of 5G base stations.

[0015] As a preferred technical measure:

[0016] Step 1, obtain the parameter information of a certain 5G energy-saving base station through a pre-constructed scenario factor acquisition model, and the methods for obtaining dynamic energy consumption factors and static energy consumption factors are as follows:

[0017] Obtain the parameter information of a certain 5G energy-saving base station; the parameter information includes at least hardware specification information, service load information, application information of energy-saving technologies, heat dissipation and heat resistance ability information, power efficiency difference information, main facility energy consumption information of 5G energy-saving base stations, transmission power information, power supply mode information, environmental auxiliary equipment information of 5G energy-saving base stations, and power supply system information of 5G energy-saving base stations;

[0018] Classify the parameter information of a certain 5G energy-saving base station to obtain environmental factors affecting the energy consumption of 5G energy-saving base station equipment and the self-energy consumption factors of 5G energy-saving base stations;

[0019] The environmental factors are dynamic energy consumption factors, which include hardware specification information, service load information, application information of energy-saving technologies, heat dissipation and heat resistance ability information, and power efficiency difference information;

[0020] The self-energy consumption factors of 5G energy-saving base stations are static energy consumption factors, which include main facility energy consumption information of 5G energy-saving base stations, transmission power information, power supply mode information, environmental auxiliary equipment information of 5G energy-saving base stations, and power supply system information of 5G energy-saving base stations.

[0021] As a preferred technical measure:

[0022] Hardware specification information: Due to differences in the technical architectures and key components of 5G energy-saving base station equipment manufacturers, the energy consumption between 5G energy-saving base station equipment is different; at the same time, the 5G energy-saving base station equipment of different manufacturers also differs in capacity, power, and carrier specifications, which also leads to different energy consumption of 5G energy-saving base station equipment;

[0023] Or / and, service load information: The service load factor refers to the fact that under different service characteristics, service loads, and user distributions, the energy consumption of 5G energy-saving base station equipment will vary due to carrying different service loads;

[0024] Or / and, application information of energy-saving technologies: The application of energy-saving technologies in 5G energy-saving base station equipment can effectively reduce the actual operating power consumption of 5G energy-saving base station equipment; When the energy-saving technology is the power control technology in the code division multiple access system, it can dynamically adjust the power output of the 5G energy-saving base station, thereby reducing energy consumption;

[0025] Or / and, heat dissipation and heat resistance capacity information: The energy efficiency of 5G energy-saving base station equipment is affected by the heat dissipation system; Temperature changes will affect the energy consumption of the heat dissipation system. The higher the temperature, the greater the heat dissipation demand; At the same time, the temperature and humidity environment where the 5G energy-saving base station equipment is located will also affect the performance of key components;

[0026] Or / and, power efficiency difference information: The energy consumption of 5G energy-saving base station equipment is affected by the power efficiency, and there are differences in power efficiency among different 5G energy-saving base station equipment manufacturers;

[0027] Or / and, energy consumption information of the main facilities of 5G energy-saving base stations: The main facilities of 5G energy-saving base stations refer to the wireless facilities of 5G energy-saving base stations, including the antenna feeder system, 5G energy-saving base station transceiver, and 5G energy-saving base station control center; This part of the energy consumption accounts for half of the total energy consumption of 5G energy-saving base stations; At the same time, different types of 5G energy-saving base stations also differ in design and function, resulting in different energy consumption differences;

[0028] Or / and, transmit power information: The transmit power of a 5G energy-saving base station refers to the power of the 5G energy-saving base station to send out signals; The higher the transmit power, the wider the signal coverage; In areas with a dense user population, 5G energy-saving base stations need to increase the transmit power to ensure signal quality, thereby resulting in increased energy consumption;

[0029] Or / and, power supply method information: The power supply method of 5G energy-saving base stations will affect the calculation and management of energy consumption; Using renewable energy can reduce dependence on the traditional power grid and reduce carbon emissions;

[0030] Or / and, environmental auxiliary equipment information of 5G energy-saving base stations: The environmental auxiliary equipment of 5G energy-saving base stations includes heat exchange systems, data transmission, 5G energy-saving base station monitoring, and lighting 5G energy-saving base station equipment, and its performance directly affects the overall energy efficiency of 5G energy-saving base stations;

[0031] Or / and, power supply system information of 5G energy-saving base stations: The power supply system of 5G energy-saving base stations usually includes switched-mode power supplies, energy storage facilities, and generators.

[0032] As a preferred technical measure:

[0033] Step 2, using the pre-constructed 5G base station energy consumption simulation model, according to the dynamic energy consumption factors and static energy consumption factors of 5G energy-saving base stations, the method for establishing the energy consumption calculation expression and constraint conditions of 5G energy-saving base stations is as follows:

[0034] Obtain the infrastructure of a 5G energy-saving base station, which includes a communication device and a power supply device;

[0035] According to the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station, the energy consumption of the communication device is divided into static energy consumption and dynamic energy consumption;

[0036] The static energy consumption is mainly the energy consumption of the 5G energy-saving base station itself, and its magnitude is independent of the number of mobile users accessing the 5G energy-saving base station; the dynamic energy consumption can be adjusted, and its magnitude is related to the dynamic energy consumption change of the 5G energy-saving base station equipment and the communication traffic of the accessed users, showing a linear relationship numerically. Thus, an energy consumption calculation expression for the 5G energy-saving base station is obtained, and its specific expression is as follows:

[0037] P BC =P S,t +αP D,t (3)

[0038] In the formula: P BC is the energy consumption of the 5G energy-saving base station; P S,t and P D,t respectively represent the static energy consumption and dynamic energy consumption of the 5G energy-saving base station at time t; α represents the dynamic change coefficient of the 5G energy-saving base station;

[0039] The 5G energy-saving base station is equipped with an energy storage device as a backup power supply. The state of charge SOC of the energy storage of the 5G energy-saving base station satisfies an equality constraint during charge and discharge, and its expression is as follows:

[0040]

[0041] In the formula: S BS,t is the state of charge of the energy storage of the 5G energy-saving base station at time t; and are respectively the charge and discharge powers of the energy storage of the 5G energy-saving base station; and are respectively the charge and discharge efficiencies of the energy storage of the 5G energy-saving base station; Δt is the charge and discharge time interval; C BS is the total capacity of the energy storage battery of the 5G energy-saving base station;

[0042] According to the characteristics of the energy storage device of the 5G energy-saving base station, the charging and discharging processes of the energy storage device of the 5G energy-saving base station do not occur simultaneously, and it satisfies the charge and discharge constraints, and its expression is as follows:

[0043]

[0044] The charge and discharge constraints ensure that the charge and discharge behaviors of the energy storage device of the 5G energy-saving base station do not occur simultaneously;

[0045] To ensure the safety of the 5G energy-saving base station and extend the battery life of the energy storage facility, the charging power of the energy storage device of the 5G energy-saving base station Discharge power Satisfy the power constraint, and its expression is as follows:

[0046]

[0047] In the formula: and are respectively the upper limits of the charging and discharging powers of the energy storage facilities of the 5G energy-saving base station;

[0048] Meanwhile, the state of charge S of the energy storage of the 5G energy-saving base station BS,t satisfies the state constraint, and its expression is as follows:

[0049] S BS,min ≤S BS,t ≤S BS,max (8)

[0050] S BS,t＝1 =S BS,t＝N (9)

[0051] In the formula: S BS,max and S BS,min are respectively the upper and lower limits of the state of charge of the energy storage facilities of the 5G energy-saving base station; N is the number of time periods in an optimization cycle;

[0052] Summarize the equality constraint, the charge-discharge constraint, the power constraint, and the state constraint to obtain the constraint conditions of the 5G energy-saving base station.

[0053] As a preferred technical measure:

[0054] Step 3, adopt a pre-constructed energy efficiency evaluation system to build a model. Based on the energy consumption calculation expression and constraint conditions of the 5G energy-saving base station, extract several evaluation indicators affecting energy consumption, and the method for building the comprehensive energy efficiency evaluation system of the 5G energy-saving base station is as follows:

[0055] Based on the energy consumption calculation expression and constraint conditions of the 5G energy-saving base station, obtain the energy consumption influencing factors of the 5G energy-saving base station, including the energy consumption of the base station main equipment, the energy consumption of the power supply system, the energy consumption of the computer room environmental facilities, and the energy consumption of the auxiliary facilities;

[0056] Couple the energy consumption of the power supply system, the energy consumption of the computer room environmental facilities, and the energy consumption of the auxiliary facilities to establish the energy consumption of the base station supporting equipment of the 5G energy-saving base station;

[0057] Take the energy consumption of the base station main equipment and the energy consumption of the base station supporting equipment as the primary evaluation indicators;

[0058] According to the energy efficiency indicators formulated by the communication industry for different types of base stations, formulate 4 secondary evaluation indicators for measuring the primary evaluation indicators. The secondary evaluation indicators include the half-load traffic volume, the half-load energy consumption per unit traffic volume, the actual energy consumption per unit traffic volume, and the PUE of the 5G energy-saving base station;

[0059] According to the secondary evaluation indicators, calculate the calculated values and weight values of each secondary evaluation indicator, so as to establish a complete comprehensive energy efficiency evaluation system for 5G energy-saving base stations.

[0060] As an optimal technical measure:

[0061] Half-load traffic volume refers to that within a specific time period, the traffic volume carried by a 5G energy-saving base station or device reaches half of its maximum carrying capacity; the half-load traffic volume is calculated by referring to the erl B table according to the call loss index set for the 5G energy-saving base station and the number of configured radio channels; in a mixed traffic scenario, the Equivalent Erlang method, PostErlang.B method, and Campbell method are usually used for calculation;

[0062] Or / and, the energy consumption per unit traffic volume at half load is equal to the energy consumption of the base station main equipment divided by the half-load traffic volume;

[0063] Or / and, the actual energy consumption per unit traffic volume refers to the ratio of the energy consumption of the main equipment to the actual traffic volume;

[0064] Or / and, the PUE of a 5G energy-saving base station is used to measure the energy efficiency of a data center or base station, and its value is equal to the total energy consumption of the base station divided by the energy consumption of the base station main equipment.

[0065] As an optimal technical measure:

[0066] The method for calculating the weight value of the secondary evaluation indicator is as follows:

[0067] S1: According to the m secondary evaluation indicators for the energy efficiency evaluation of 5G energy-saving base stations, establish m×m blanks to obtain a preference chart;

[0068] S2: According to the importance of the comprehensive energy efficiency evaluation indicators, fill in 1 or 0 in each blank of the preference chart;

[0069] When making pairwise comparisons of the secondary evaluation indicators, use the number 1 to represent the relatively "important" one of the two indicators and fill in 1 in the corresponding blank; use the number 0 to represent the relatively "unimportant" one and fill in 0 in the corresponding blank; select × to represent the result of self-comparison between the two indicators;

[0070] S3: Check and adjust the complementarity or symmetry of the preference chart. When determining the order of "importance" of each indicator, it is first necessary to conduct a complementarity check of the preference chart; regard the × with the same serial number as the diagonal line, and compare the numbers in the blanks on both sides of the diagonal line; if the numbers in the symmetric positions are both 0.5, or one side is 1 and the other side is 0, it means that the preference chart has completed the complementarity check;

[0071] S4: Cumulatively add up the scores of the secondary evaluation indicators in the preference chart, summarize the scores of each secondary evaluation indicator, and then divide the score of each secondary evaluation indicator by the total score to calculate the weight value of each secondary evaluation indicator.

[0072] As a preferred technical measure:

[0073] Step 4, use the pre-constructed comprehensive energy consumption evaluation model, and according to the 5G energy-saving base station comprehensive energy efficiency evaluation system, the method for comprehensively evaluating the energy consumption of a certain 5G energy-saving base station to obtain the comprehensive energy efficiency evaluation value of the 5G energy-saving base station is as follows:

[0074] According to the 5G energy-saving base station comprehensive energy efficiency evaluation system, measure the half-load unit traffic volume energy consumption, actual unit traffic volume energy consumption, and communication base station PUE value of a certain 5G base station;

[0075] The efficiency of the base station main facilities is specifically reflected by its efficiency per unit traffic volume in the half-load state, and the energy efficiency during the actual operation of the base station is calculated based on the efficiency data per actual unit traffic volume. Therefore, the energy efficiency evaluation value of the base station main equipment The calculation formula is as follows:

[0076]

[0077] In the formula: are the weight values of the indicators respectively; H is the half-load unit traffic volume energy consumption; R is the actual unit traffic volume energy consumption; H B is the unit traffic volume energy consumption benchmark value;

[0078] For the auxiliary facilities of the 5G base station, its energy efficiency is quantified and evaluated through the value of the power usage efficiency. Therefore, the energy efficiency evaluation value of the base station supporting equipment The calculation formula is as follows:

[0079]

[0080] In the formula: PUE is the communication base station PUE value; is the weight value of the indicator;

[0081] Integrate the energy efficiency evaluation value of the base station main equipment and the energy efficiency evaluation value of the base station supporting equipment to jointly form a comprehensive energy efficiency evaluation of the 5G base station's energy conservation and emission reduction performance, which is used to reflect the comprehensive energy efficiency evaluation result of the 5G base station. The calculation formula of the corresponding 5G base station comprehensive energy efficiency evaluation value Score is as follows:

[0082]

[0083] To achieve one of the above purposes, the second technical solution of the present invention is:

[0084] An integrated energy efficiency evaluation method for 5G energy-saving base stations, comprising the following steps:

[0085] S1, comprehensively considering the dynamic energy consumption factors and static energy consumption factors of 5G energy-saving base stations, establish a typical energy consumption simulation model of 5G base stations;

[0086] S2, extract the main factors affecting energy consumption, and construct an integrated energy efficiency evaluation system for 5G energy-saving base stations;

[0087] S3, establish an integrated energy efficiency evaluation method for 5G energy-saving base stations by analyzing and processing index data.

[0088] To achieve one of the above purposes, the third technical solution of the present invention is:

[0089] An integrated energy efficiency evaluation system for 5G energy-saving base stations, applying the above-mentioned integrated energy efficiency evaluation method for 5G energy-saving base stations, which includes: an energy efficiency information collection module, a data management module, and an energy efficiency evaluation module.

[0090] The energy efficiency information collection module is used to collect data related to 5G energy-saving base stations, set an energy efficiency threshold for monitoring, real-time monitor the energy consumption status of 5G energy-saving base stations, and transmit the data to the data management module;

[0091] The data management module is used to process the energy efficiency data of 5G energy-saving base stations collected in real time, store the energy efficiency data in a database, perform data cleaning and data preprocessing operations on the energy efficiency data, and accurately classify various data;

[0092] The energy efficiency evaluation module is used to provide energy efficiency evaluation services for 5G energy-saving base stations, and complete the evaluation work by sorting and analyzing index data and using the super-efficiency data envelopment analysis algorithm.

[0093] To achieve one of the above purposes, the fourth technical solution of the present invention is:

[0094] An electronic device, which includes:

[0095] One or more processors;

[0096] A storage device for storing one or more programs;

[0097] When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the above-mentioned integrated energy efficiency evaluation method for 5G energy-saving base stations.

[0098] Compared with the prior art solutions, the present invention has the following beneficial effects:

[0099] Through continuous exploration and experimentation, the present invention fully considers the factors affecting the energy consumption of 5G energy-saving base stations. By constructing a model for obtaining scenario factors, a simulation model for the energy consumption of 5G base stations, a model for constructing an energy efficiency evaluation system, and a comprehensive energy consumption evaluation model, it comprehensively considers the dynamic and static energy consumption factors of 5G base stations, and constructs a comprehensive energy efficiency evaluation system for 5G energy-saving base stations. Thus, an accurate comprehensive energy efficiency evaluation value of 5G energy-saving base stations can be obtained, which can accurately reflect the energy efficiency level of the actual performance of 5G energy-saving base station equipment, realize the accurate evaluation of the energy efficiency of 5G energy-saving base stations, and provide a reference basis for the scientific evaluation of energy conservation and emission reduction of communication base stations.

[0100] The present invention breaks through the limitations of existing evaluation models. Based on the "static" energy efficiency model, it couples the "dynamic" energy consumption elements of 5G energy-saving base stations, and through a number of simulation models, forms a comprehensive energy efficiency evaluation method that comprehensively considers the static and dynamic energy consumption of 5G energy-saving base stations. Thus, it can be applied to the energy efficiency evaluation of 5G base stations, and can accurately evaluate the energy efficiency level of 5G base stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0101] Figure 1 It is a schematic flow chart of a comprehensive energy efficiency evaluation method for 5G energy-saving base stations of the present invention;

[0102] Figure 2 It is a schematic diagram of an evaluation system for 5G energy-saving base stations of the present invention;

[0103] Figure 3 It is a framework diagram of a comprehensive energy efficiency evaluation system for 5G energy-saving base stations of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0104] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0105] On the contrary, the present invention covers any alternatives, modifications, equivalent methods and solutions made within the spirit and scope of the present invention as defined by the claims. Further, in order to enable the public to better understand the present invention, some specific details are described in detail in the following detailed description of the present invention. Those skilled in the art can fully understand the present invention without the description of these details.

[0106] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art belonging to the technical field of the present invention. The terms used herein are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The term "or / and" used herein includes any and all combinations of one or more related listed items.

[0107] As Figure 1 shown, the first specific embodiment of the comprehensive energy efficiency evaluation method for 5G energy-saving base stations according to the present invention is as follows:

[0108] A comprehensive energy efficiency evaluation method for 5G energy-saving base stations includes the following steps:

[0109] Step 1: Process the parameter information of a 5G energy-saving base station through a pre-constructed scenario factor acquisition model to obtain the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station;

[0110] Step 2: Use a pre-constructed 5G base station energy consumption simulation model to establish an energy consumption calculation expression and constraint conditions for the 5G energy-saving base station according to the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station;

[0111] Step 3: Adopt a pre-constructed energy efficiency evaluation system construction model, and based on the energy consumption calculation expression and constraint conditions of the 5G energy-saving base station, extract several evaluation indicators affecting energy consumption to construct a comprehensive energy efficiency evaluation system for the 5G energy-saving base station;

[0112] Step 4: Use a pre-constructed comprehensive energy consumption evaluation model to conduct a comprehensive energy consumption evaluation on a 5G energy-saving base station according to the comprehensive energy efficiency evaluation system of the 5G energy-saving base station to obtain the comprehensive energy efficiency evaluation value of the 5G energy-saving base station.

[0113] The second specific embodiment of the comprehensive energy efficiency evaluation method for 5G energy-saving base stations according to the present invention:

[0114] A comprehensive energy efficiency evaluation method for 5G energy-saving base stations includes the following steps:

[0115] S1: Comprehensively consider the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station and establish a typical 5G base station energy consumption simulation model;

[0116] S2: Extract the main factors affecting energy consumption and construct a comprehensive energy efficiency evaluation system for the 5G energy-saving base station;

[0117] S3: Establish a comprehensive energy efficiency evaluation method for the 5G energy-saving base station by analyzing and processing the index data.

[0118] In this embodiment, the static energy consumption factor is the self-energy consumption factor of the 5G energy-saving base station; the dynamic energy consumption factor is the main factor affecting the energy consumption of the base station equipment.

[0119] In this embodiment, for the comprehensive energy efficiency evaluation system of the 5G energy-saving base station, the preference ranking method is used to calculate the index weights.

[0120] In this embodiment, the comprehensive energy efficiency evaluation method for the 5G energy-saving base station is as follows: collect the energy consumption data of the base station; evaluate the energy efficiency level of the main equipment of the base station; evaluate the energy efficiency level of the supporting equipment of the base station; evaluate the comprehensive energy efficiency level of the 5G energy-saving base station.

[0121] In terms of considering the factors affecting the energy consumption of the 5G energy-saving base station, by comprehensively considering the dynamic energy consumption factors and static energy consumption factors of the base station, and establishing a 5G base station energy consumption simulation model and its communication facility energy consumption model, the energy efficiency level that can reflect the actual performance of the 5G energy-saving base station equipment can be obtained. At the same time, according to the comprehensive energy efficiency evaluation system for the 5G energy-saving base station, a comprehensive energy efficiency evaluation method and system for the 5G energy-saving base station are proposed. By decomposing the system structure, the energy efficiency indicators of the base station can be effectively quantified, the problem of difficult data collection can be solved, the accurate evaluation of the energy efficiency of the 5G energy-saving base station can be realized, and a reference basis can be provided for the scientific evaluation of energy conservation and emission reduction of communication base stations.

[0122] The third specific embodiment of the comprehensive energy efficiency evaluation method for the 5G energy-saving base station of the present invention:

[0123] A comprehensive energy efficiency evaluation method for a 5G energy-saving base station includes the following steps:

[0124] S1: Comprehensively consider the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station, and establish a typical 5G base station energy consumption simulation model;

[0125] S2: Use the energy efficiency evaluation system to construct a model, extract the main factors affecting energy consumption, and construct a comprehensive energy efficiency evaluation system for the 5G energy-saving base station;

[0126] S3: Use the comprehensive energy consumption evaluation model to establish a comprehensive energy efficiency evaluation method for the 5G energy-saving base station by analyzing and processing the index data.

[0127] In this embodiment, S1 includes the following steps:

[0128] S101: Analyze the energy consumption elements of the 5G energy-saving base station, which specifically includes the following content:

[0129] Generally, the main energy consumption factors of the 5G energy-saving base station itself are as follows:

[0130] (1) Energy consumption of the main facilities of the base station: Generally refers to the wireless facilities of the base station, including the antenna feeder system, base station transceiver, and base station control center, etc. This part of the energy consumption accounts for about half of the total energy consumption of the 5G energy-saving base station. At the same time, different types of base stations also have differences in design and function, resulting in different energy consumption differences.

[0131] (2) Transmit power: The transmit power of the base station refers to the power of the base station to send signals outward. The higher the transmit power, the wider the signal coverage range. In areas with dense users, the base station may need to increase the transmit power to ensure signal quality, resulting in increased energy consumption.

[0132] (3) Power supply method: The power supply method of the base station (such as power grid power supply, solar energy, wind energy, etc.) will affect the calculation and management of energy consumption. Using renewable energy can reduce the dependence on the traditional power grid and reduce carbon emissions, but usually the initial investment may be relatively high.

[0133] (4) Base station environmental auxiliary equipment: It includes heat exchange systems, data transmission, base station monitoring and lighting equipment, and its performance directly affects the overall energy efficiency of the base station.

[0134] (5) Base station power system: The base station power system usually includes switching power supplies, energy storage facilities, and generators, etc. This part of the energy consumption generally accounts for 4% of the total energy consumption of 5G energy-saving base stations.

[0135] S102: Analyze the main factors affecting the energy consumption of equipment, which specifically include the following:

[0136] (1) Hardware specifications: There are differences in the technical architectures and key components of equipment manufacturers, which result in different energy consumptions among equipment. Equipment from different manufacturers varies in capacity, power, and carrier specifications, thus affecting the energy consumption of base station equipment.

[0137] (2) Service load: The service load factor refers to the fact that under different service characteristics, service loads, and user distributions, the energy consumption of base station equipment will vary depending on the different service loads it bears.

[0138] (3) Application of energy-saving technologies: The application of energy-saving technologies in base station equipment can largely effectively reduce the actual operating power consumption of the equipment. For example, the power control technology in the code division multiple access system can dynamically adjust the power output of the base station, thereby reducing energy consumption.

[0139] (4) Heat dissipation and heat resistance capabilities: The energy efficiency of the equipment also needs to consider its heat dissipation system. Temperature changes will affect the energy consumption of the heat dissipation system. The higher the temperature, the greater the heat dissipation demand. In addition, the temperature and humidity environment where the equipment is located will also affect the performance of key components.

[0140] (5) Power efficiency differences: The energy consumption of the equipment will also be affected by the power efficiency. There are certain differences in power efficiency among different equipment manufacturers.

[0141] S103: Establish a 5G base station energy consumption simulation model, which includes a 5G energy-saving base station communication facility energy consumption model and a 5G energy-saving base station power supply facility (backup energy storage) model. The infrastructure of a 5G energy-saving base station mainly includes a power supply device (backup energy storage) and a communication device. Among them, the energy consumption of the communication device is divided into static energy consumption and dynamic energy consumption.

[0142] The method for establishing a 5G energy-saving base station communication facility energy consumption model includes the following:

[0143] Static energy consumption is mainly the energy consumption of the base station itself, and its size has nothing to do with the number of mobile users accessing the base station; dynamic energy consumption is adjustable, and its size is related to the dynamic energy consumption changes of 5G energy-saving base station equipment and the communication traffic of the users accessing, and the value is linear. The energy consumption expression of 5G base station is as follows:

[0144] P BC =P S,t +αP D,t (12)

[0145] Where: P BC Energy saving for 5G base stations; S,t and P D,t They respectively represent the static energy consumption and dynamic energy consumption of the 5G energy-saving base station at time t; α represents the dynamic change coefficient of the 5G energy-saving base station.

[0146] The method of establishing a 5G energy-saving base station power supply facility (backup energy storage) model includes the following contents:

[0147] 5G energy-saving base stations are usually equipped with energy storage devices as backup power sources to ensure the reliable operation of base stations. These backup energy storage can be used as dispatchable resources to participate in the coordinated optimization of the power system. The energy storage model is as follows:

[0148] The state of charge (SOC) of the 5G energy-saving base station energy storage satisfies the following equation constraints during charging and discharging:

[0149]

[0150] Where: S BS,t The state of charge of the 5G energy-saving base station energy storage at time t; and They are respectively the charging and discharging power of 5G energy-saving base station energy storage; and are the charging and discharging efficiency of 5G energy-saving base station energy storage; Δt is the charging and discharging time interval; C BS The total capacity of energy storage batteries for 5G energy-saving base stations.

[0151] According to the characteristics of the 5G energy-saving base station energy storage device, the charging and discharging processes of the 5G energy-saving base station energy storage device will not be carried out at the same time, satisfying the constraints:

[0152]

[0153] Formula (3) ensures that the charging and discharging behaviors of the 5G energy-saving base station energy storage device will not occur simultaneously.

[0154] To ensure the safety of 5G energy-saving base stations and extend the battery life of energy storage facilities, the behavior of overcharging and over-discharging should be avoided as much as possible. Therefore, the charging and discharging power of the energy storage device of the 5G energy-saving base station satisfies the constraint:

[0155]

[0156] In the formula: and are respectively the upper limits of the charging and discharging power of the energy storage facilities of the 5G energy-saving base station.

[0157] Meanwhile, the state of charge of the energy storage of the 5G energy-saving base station satisfies the constraint:

[0158]

[0159] In the formula: S BS,max and S BS,min are respectively the upper and lower limits of the state of charge of the energy storage facilities of the 5G energy-saving base station; N is the number of time periods within an optimization cycle.

[0160] In this embodiment, the said S2 includes the following steps:

[0161] S201: Construct an energy efficiency evaluation index for the 5G energy-saving base station, which includes the following contents:

[0162] The energy consumption of the 5G energy-saving base station is mainly affected by four aspects: the main facilities of the base station, the power supply system, the environmental facilities, and other auxiliary facilities. Among them, the power supply system, the computer room environmental facilities, and other auxiliary facilities together constitute the supporting facilities of the base station. Therefore, the 5G energy-saving base station can be regarded as consisting of two parts: the main facilities and the supporting facilities. Through the above analysis of the energy consumption factors of the 5G energy-saving base station and fully considering the impact of the base station facilities on energy consumption, the comprehensive energy efficiency evaluation index of the 5G energy-saving base station is selected. Among them, the primary evaluation index consists of the energy efficiency of the main facilities and the supporting facilities of the base station. At the same time, based on the energy efficiency indicators formulated by the communication industry for different types of base stations, four secondary evaluation indicators for measuring the primary evaluation index are formulated, and the measurement items for measuring the secondary evaluation indicators are given, and then a complete comprehensive energy efficiency evaluation index system for the 5G energy-saving base station is established. The specific indicators are shown in Table 1.

[0163] Table 1: Energy Efficiency Evaluation Index of 5G Energy-saving Base Station

[0164]

[0165] (1) The half-load traffic usually refers to the traffic carried by a base station or device reaching half of its maximum carrying capacity within a specific time period. The half-load traffic can be calculated by referring to the erl B table based on the call loss index set by the base station and the number of configured radio channels. In a mixed traffic scenario, the Equivalent Erlang method, PostErlang.B method, and Campbell method are usually used for calculation.

[0166] (2) The energy consumption per unit traffic at half-load refers to the expression of the energy consumption per unit traffic when the base station is at half-load as follows:

[0167] Energy consumption per unit traffic at half-load = Energy consumption of the base station main equipment / Half-load traffic

[0168] (3) The actual energy consumption per unit traffic refers to the ratio of the energy consumption of the main equipment to the actual traffic, and the expression is as follows:

[0169] Actual energy consumption per unit traffic = Energy consumption of the base station main equipment / Actual traffic

[0170] (4) The PUE of a 5G energy-saving base station is an important indicator for measuring the energy efficiency of a data center or base station, and the expression is as follows:

[0171] PUE of 5G base station = Total energy consumption of the base station / Energy consumption of the base station main equipment

[0172] S202: Use the preference ranking organization method for enrichment evaluation (PROMETHEE) to determine the weight coefficients of each indicator. The specific method is as follows:

[0173] Step 1: According to the m evaluation indicators for the energy efficiency evaluation of a 5G energy-saving base station, establish m×m blanks to obtain a preference ranking table;

[0174] Step 2: Fill in the two data 1 and 0 according to the importance of the comprehensive energy efficiency evaluation indicators; when making pairwise comparisons of each evaluation indicator, use the number 1 to represent the relatively "important" one of the two indicators and fill in 1 in the corresponding blank; use the number 0 to represent the relatively "unimportant" one and fill in 0 in the corresponding blank; select × to represent the result of self-comparison between the two indicators.

[0175] Step 3: Check and adjust the complementarity or symmetry of the preference ranking table. When determining the order of "importance" of each indicator, it is first necessary to conduct a complementarity check of the preference ranking table. Consider the × with the same serial number as the diagonal and compare the numbers in the blanks on both sides of the diagonal. If the numbers in the symmetric positions are both 0.5, or one side is 1 and the other side is 0, it means that the preference ranking table has completed the complementarity check.

[0176] Step 4: Calculate the weights of each indicator. The specific method is as follows:

[0177] Accumulatively add up the scores of the indicators in the preference chart, summarize the scores of each indicator, and then divide the score of each indicator by the total score to calculate the weight coefficient of each base station energy efficiency evaluation indicator. The score table of the base station energy efficiency indicators is shown in Table 2.

[0178] Table 2: Standard Weight Score Table

[0179]

[0180] After calculation, the weight vectors of the energy consumption per unit traffic volume at half load P1, the actual energy consumption per unit traffic volume P2, and the PUE P3 of the 5G energy-saving base station are:

[0181] W = (w1, w2, w3) = (0.167, 0.167, 0.666)

[0182] S203: Measure the benchmark value of the indicator, and the method is as follows:

[0183] From the above analysis of the secondary evaluation indicators of the 5G energy-saving base station, different indicators have different benchmark values (measurement standards). The calculation methods of the typical indicator benchmark values are as follows:

[0184] (1) Measurement method of the benchmark value of the energy consumption per unit traffic volume

[0185] Take the optimal value of the main equipment energy consumption of the communication base stations of each manufacturer as the benchmark to measure the benchmark value of the energy consumption per unit traffic volume. The calculation formula is as follows:

[0186] Benchmark value of the energy consumption per unit traffic volume = Optimal value of the main equipment energy consumption of the base stations of each manufacturer / Traffic volume at half load

[0187] (2) Determination of the PUE benchmark value of the 5G energy-saving base station

[0188] Take the PUE benchmark value of the 5G energy-saving base station as 1.1.

[0189] In this embodiment, S3 includes the following steps:

[0190] S301: Construct an energy efficiency evaluation model for the 5G energy-saving base station, and the method is as follows:

[0191] Based on the above constructed 5G energy-saving base station comprehensive energy efficiency evaluation index system, a 5G energy-saving base station energy conservation and emission reduction comprehensive energy efficiency evaluation model can be obtained as Figure 2 shown.

[0192] In the energy efficiency evaluation model, the efficiency of the main facilities of the base station is specifically reflected by its effectiveness per unit of traffic volume under half-load conditions, while the energy efficiency during the actual operation of the base station is calculated based on the effectiveness data per actual unit of traffic volume. By comprehensively considering the evaluation values of P1 and P2, the resulting comprehensive score constitutes the evaluation index for the energy efficiency of the main facilities of the base station. For the auxiliary facilities of the 5G energy-saving base station, its energy efficiency is quantified and evaluated through the value of power usage effectiveness. Finally, by integrating the evaluation results of the energy consumption E1 of the main base station equipment and the energy consumption E2 of the supporting equipment of the base station, a comprehensive energy efficiency evaluation of the energy conservation and emission reduction performance of the 5G energy-saving base station is jointly formed, and this result reflects the comprehensive energy efficiency evaluation result of the 5G energy-saving base station.

[0193] S302: A comprehensive energy efficiency evaluation method for 5G energy-saving base stations, including the following:

[0194] Step 1: By analyzing and processing the collected data, measure the energy consumption per unit of traffic volume under half-load, the actual energy consumption per unit of traffic volume, and the PUE value of the communication base station of the 5G energy-saving base station to achieve data collection and measurement.

[0195] Step 2: Energy efficiency of the main base station equipment The evaluation formula is as follows:

[0196]

[0197] In the formula: w is the index weight; H is the energy consumption per unit of traffic volume under half-load; R is the actual energy consumption per unit of traffic volume; H B is the benchmark value of the energy consumption per unit of traffic volume.

[0198] Step 3: Energy efficiency of the supporting equipment of the base station The evaluation formula is as follows:

[0199]

[0200] In the formula: PUE is the PUE value of the communication base station.

[0201] Step 4: The evaluation formula for the comprehensive energy efficiency Score of the 5G energy-saving base station is as follows:

[0202]

[0203] A specific embodiment of the comprehensive energy efficiency evaluation system for 5G energy-saving base stations according to the present invention:

[0204] A comprehensive energy efficiency evaluation system for 5G energy-saving base stations, including a system overall structure design unit, a structure decomposition model construction unit, and a system module design unit.

[0205] By decomposing the system structure, the present invention can effectively quantify the energy efficiency index of the base station, solve the problem of difficult data collection, realize the accurate evaluation of the energy efficiency of 5G energy-saving base stations, and provide a reference basis for the scientific evaluation of energy conservation and emission reduction of communication base stations.

[0206] In this embodiment: The overall system structure design unit includes the following:

[0207] The basic energy efficiency information of the base station is obtained through the energy efficiency information collection module. After the data management module sorts out and analyzes the data change rules, an intelligent algorithm is introduced to analyze the characteristics of the energy consumption difference of the base station, and the energy efficiency evaluation result is obtained. The overall architecture is as Figure 3 shown.

[0208] In this embodiment: The structure decomposition model construction unit includes the following:

[0209] When constructing the system, different functional modules should be divided. If the functional area K has multiple sub-functional areas K i , then the sub-functional areas should satisfy:

[0210] K = K1 ∪ K2 ∪ … ∪ K n

[0211]

[0212] If different modules of the system are each integrated into a whole, then the system requirements and the connection requirements of different modules need to be met through the functional module layer Z and the connection structure layer L. The evaluation system S is determined by Z and L. Assuming that the input and output matrices of the system are X and Y, the following should be satisfied:

[0213]

[0214] In the formula: g n is a certain function of the system, and x i is the input regarding a certain function of the system.

[0215] In this embodiment: The system design unit includes the following:

[0216] (1) Design the energy efficiency information collection module, which collects the relevant data of the base station through the monitoring module, sets the energy efficiency threshold monitoring, monitors the energy consumption status of the base station in real time, and transmits the data to the data management module.

[0217] (2) Design the data management module, which processes the energy efficiency data of the 5G energy-saving base station collected in real time, stores the data in a database, performs data cleaning and data preprocessing operations on the data, and accurately classifies various data.

[0218] (3) Design energy efficiency evaluation module, which provides base station energy efficiency evaluation service and is the core module of the system. It completes the evaluation work by sorting and analyzing index data and adopting the super-efficiency data envelopment analysis algorithm.

[0219] The present invention breaks through the limitations of the existing evaluation model and provides a comprehensive energy efficiency evaluation method and system for 5G energy-saving base stations that comprehensively considers the static energy consumption and dynamic energy consumption of base stations. By using the system structure decomposition method and combining the modular concept to design the functions of the system, it can accurately evaluate the energy efficiency level of base stations.

[0220] An equipment embodiment applying the method of the present invention:

[0221] An electronic device, which includes:

[0222] One or more processors;

[0223] A storage device for storing one or more programs;

[0224] When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the above-mentioned comprehensive energy efficiency evaluation method for 5G energy-saving base stations.

[0225] A computer medium embodiment applying the method of the present invention:

[0226] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the above-mentioned comprehensive energy efficiency evaluation method for 5G energy-saving base stations.

[0227] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, and computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, optical storage, etc.) containing computer-usable program code.

[0228] The present application is described according to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products of the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, so that the instructions executed by the processors of the computer or other programmable data processing devices generate for implementing in the process Figure 1 one process or multiple processes or / and blocks Figure 1a device for the functions specified in one or more boxes.

[0229] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device that implements the functions specified in Figure 1 one or more processes or / and boxes Figure 1 a box or multiple boxes.

[0230] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more processes or / and boxes Figure 1 a box or multiple boxes.

[0231] The model in this application is an object that constitutes an objective description of the morphological structure by means of an entity or virtual representation. The object is not equal to an object and is not limited to entities and virtuals. It can be a data processing function, software program, processing mode, usage method, operation method, work process, application process, electronic hardware, circuit module, processing system, system imitation or simulation object.

[0232] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art can still modify or equivalently replace the specific implementation manners of the present invention. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. An integrated energy efficiency evaluation method for 5G energy-saving base stations, characterized in that: It includes the following steps: Step 1, through a pre-constructed scenario factor acquisition model, process the parameter information of a certain 5G energy-saving base station to obtain the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station; Step 2, use a pre-constructed 5G base station energy consumption simulation model to establish an energy consumption calculation expression and constraint conditions for the 5G energy-saving base station according to the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station; Step 3, adopt a pre-constructed energy efficiency evaluation system construction model, based on the energy consumption calculation expression and constraint conditions of the 5G energy-saving base station, extract several evaluation indicators affecting energy consumption, and construct an integrated energy efficiency evaluation system for the 5G energy-saving base station; Step 4, use a pre-constructed comprehensive energy consumption evaluation model to conduct a comprehensive energy consumption evaluation of a certain 5G energy-saving base station according to the integrated energy efficiency evaluation system of the 5G energy-saving base station, and obtain the integrated energy efficiency evaluation value of the 5G energy-saving base station.

2. The integrated energy efficiency evaluation method for 5G energy-saving base stations according to claim 1, characterized in that: In step 1, the method of obtaining the dynamic energy consumption factors and static energy consumption factors by processing the parameter information of a certain 5G energy-saving base station through a pre-constructed scenario factor acquisition model is as follows: Obtain the parameter information of a certain 5G energy-saving base station; the parameter information includes at least hardware specification information, service load information, application information of energy-saving technologies, heat dissipation and heat resistance capacity information, power efficiency difference information, main facility energy consumption information of the 5G energy-saving base station, transmit power information, power supply method information, environmental auxiliary equipment information of the 5G energy-saving base station, and power system information of the 5G energy-saving base station; Classify the parameter information of a certain 5G energy-saving base station to obtain environmental factors affecting the energy consumption of the 5G energy-saving base station equipment and the energy consumption factors of the 5G energy-saving base station itself; The environmental factors are dynamic energy consumption factors, which include hardware specification information, service load information, application information of energy-saving technologies, heat dissipation and heat resistance capacity information, and power efficiency difference information; The energy consumption factors of the 5G energy-saving base station itself are static energy consumption factors, which include main facility energy consumption information of the 5G energy-saving base station, transmit power information, power supply method information, environmental auxiliary equipment information of the 5G energy-saving base station, and power system information of the 5G energy-saving base station.

3. The integrated energy efficiency evaluation method for 5G energy-saving base stations according to claim 1, characterized in that: Hardware specification information: Due to differences in the technical architectures and key components of 5G energy-saving base station equipment manufacturers, the energy consumption of 5G energy-saving base station equipment is different; at the same time, the 5G energy-saving base station equipment of different manufacturers also differs in capacity, power, and carrier specifications, which also leads to different energy consumption of 5G energy-saving base station equipment; Or / and, service load information: The service load factor refers to the fact that under different service characteristics, service loads, and user distributions, the energy consumption of 5G energy-saving base station equipment will vary due to carrying different service loads; Or / and, application information of energy-saving technologies: The application of energy-saving technologies in 5G energy-saving base station equipment can effectively reduce the actual operating power consumption of 5G energy-saving base station equipment; when the energy-saving technology is the power control technology in the code division multiple access system, it can dynamically adjust the power output of 5G energy-saving base stations, thereby reducing energy consumption; Or / and, heat dissipation and heat resistance capacity information: The energy efficiency of 5G energy-saving base station equipment is affected by the heat dissipation system; temperature changes will affect the energy consumption of the heat dissipation system, and the higher the temperature, the greater the heat dissipation demand; at the same time, the temperature and humidity environment where 5G energy-saving base station equipment is located will also affect the performance of key components; Or / and, power efficiency difference information: The energy consumption of 5G energy-saving base station equipment is affected by the power efficiency, and there are differences in power efficiency among different 5G energy-saving base station equipment manufacturers; Or / and, main facility energy consumption information of 5G energy-saving base stations: The main facilities of 5G energy-saving base stations refer to the wireless facilities of 5G energy-saving base stations, including the antenna feeder system, 5G energy-saving base station transceiver, and 5G energy-saving base station control center; this part of the energy consumption accounts for half of the total energy consumption of 5G energy-saving base stations; at the same time, different types of 5G energy-saving base stations also have differences in design and function, resulting in different energy consumption differences; Or / and, transmission power information: The transmission power of 5G energy-saving base stations refers to the power of 5G energy-saving base stations to send out signals; the higher the transmission power, the wider the signal coverage; in areas with dense users, 5G energy-saving base stations need to increase the transmission power to ensure signal quality, resulting in increased energy consumption; Or / and, power supply mode information: The power supply mode of 5G energy-saving base stations will affect the calculation and management of energy consumption; using renewable energy can reduce the dependence on the traditional power grid and reduce carbon emissions; Or / and, environmental auxiliary equipment information of 5G energy-saving base stations: The environmental auxiliary equipment of 5G energy-saving base stations includes heat exchange systems, data transmission, 5G energy-saving base station monitoring, and lighting 5G energy-saving base station equipment, and its performance directly affects the overall energy efficiency of 5G energy-saving base stations; Or / and, power supply system information of 5G energy-saving base stations: The power supply system of 5G energy-saving base stations usually includes switching power supplies, energy storage facilities, and generators.

4. The comprehensive energy efficiency evaluation method for 5G energy-saving base stations according to claim 1, characterized in that: Step two, using a pre-constructed 5G base station energy consumption simulation model, the method for establishing the energy consumption calculation expression and constraint conditions of 5G energy-saving base stations according to the dynamic energy consumption factors and static energy consumption factors of 5G energy-saving base stations is as follows: Obtain the infrastructure of 5G energy-saving base stations, which includes communication devices and power supply devices; According to the dynamic energy consumption factors and static energy consumption factors of 5G energy-saving base stations, divide the energy consumption of communication devices into static energy consumption and dynamic energy consumption; The static energy consumption is mainly the energy consumption of 5G energy-saving base stations themselves, and its magnitude is independent of the number of mobile users accessing 5G energy-saving base stations; the dynamic energy consumption can be adjusted, and its magnitude is related to the dynamic energy consumption change of 5G energy-saving base station equipment and the communication traffic of the accessed users, showing a linear relationship numerically, thereby obtaining the energy consumption calculation expression of 5G energy-saving base stations; 5G energy-saving base stations will be equipped with energy storage devices as backup power supplies, and the state of charge SOC of 5G energy-saving base station energy storage satisfies the equality constraint during charging and discharging; According to the characteristics of the energy-saving energy storage device for 5G base stations, the charging and discharging processes of the energy-saving energy storage device for 5G base stations do not occur simultaneously, and it satisfies the charge-discharge constraints; To ensure the safety of 5G energy-saving base stations and extend the battery life of energy storage facilities, the charging power of the energy storage device of the 5G energy-saving base station discharge power meets the power constraint; Meanwhile, the state of charge S of the energy storage of the 5G energy-saving base station BS,t satisfies the state constraints; Summarize the equality constraints, charge-discharge constraints, power constraints, and state constraints to obtain the constraint conditions for 5G base stations.

5. The comprehensive energy efficiency evaluation method for 5G energy-saving base stations according to claim 1, characterized in that: Step 3, use the pre-constructed energy efficiency evaluation system to build a model. Based on the energy consumption calculation expression and constraint conditions of 5G energy-saving base stations, extract several evaluation indicators affecting energy consumption. The method for building the comprehensive energy efficiency evaluation system for 5G energy-saving base stations is as follows: Based on the energy consumption calculation expression and constraint conditions of 5G energy-saving base stations, obtain the energy consumption influencing factors of 5G energy-saving base stations, including the energy consumption of the base station main equipment, the energy consumption of the power supply system, the energy consumption of the computer room environmental facilities, and the energy consumption of the auxiliary facilities; Couple the energy consumption of the power supply system, the energy consumption of the computer room environmental facilities, and the energy consumption of the auxiliary facilities to establish the energy consumption of the base station supporting equipment for 5G energy-saving base stations; Take the energy consumption of the base station main equipment and the energy consumption of the base station supporting equipment as the primary evaluation indicators; According to the energy efficiency indicators formulated by the communication industry for different types of base stations, formulate 4 secondary evaluation indicators for measuring the primary evaluation indicators. The secondary evaluation indicators include the half-load traffic volume, the energy consumption per unit traffic volume at half load, the actual energy consumption per unit traffic volume, and the PUE of 5G energy-saving base stations; According to the secondary evaluation indicators, calculate the calculated values and weight values of each secondary evaluation indicator, and thus establish a complete comprehensive energy efficiency evaluation system for 5G energy-saving base stations.

6. The comprehensive energy efficiency evaluation method for 5G energy-saving base stations according to claim 5, characterized in that: The half-load traffic volume refers to the traffic volume carried by a 5G energy-saving base station or device reaching half of its maximum carrying capacity within a specific time period; the half-load traffic volume is calculated by referring to the erl B table according to the call loss index set by the 5G energy-saving base station and the number of configured radio channels; in a mixed traffic scenario, the EquivalentErlang method, the PostErlang.B method, and the Campbell method are usually used for calculation; Or / and, the energy consumption per unit traffic volume at half load is equal to the energy consumption of the base station main equipment divided by the half-load traffic volume; Or / and, the actual energy consumption per unit traffic volume refers to the ratio of the energy consumption of the main equipment to the actual traffic volume; Or / and, the PUE of 5G energy-saving base stations is used to measure the energy efficiency of the data center or base station, and its value is equal to the total energy consumption of the base station divided by the energy consumption of the base station main equipment.

7. The comprehensive energy efficiency evaluation method for 5G energy-saving base stations according to claim 5, characterized in that: The method for calculating the weight values of the secondary evaluation indicators is as follows: S1: According to the m secondary evaluation indicators for the energy efficiency evaluation of 5G energy-saving base stations, establish m×m blanks to obtain a preference chart; S2: According to the importance of the comprehensive energy efficiency evaluation indicators, fill in 1 or 0 in each blank of the preference chart; When making pairwise comparisons of each secondary evaluation index, use the number 1 to represent the relatively "more important" one of the two indexes, and fill in 1 in the corresponding blank; use the number 0 to represent the relatively "less important" one, and fill in 0 in the corresponding blank; select × to represent the result of self-comparison between the two indexes. S3: Check and adjust the complementarity or symmetry of the preference chart. When determining the order of "importance" of each index, it is first necessary to conduct a complementarity check of the preference chart; regard the × with the same serial number as the diagonal, and compare the numbers in the blanks on both sides of the diagonal; if the numbers in the symmetric positions are both 0.5, or one side is 1 and the other side is 0, it means that the preference chart has completed the complementarity check. S4: Cumulatively add up the scores of the secondary evaluation indexes in the preference chart, summarize the scores of each secondary evaluation index, and then divide the score of each secondary evaluation index by the total score respectively to calculate the weight value of each secondary evaluation index.

8. A comprehensive energy efficiency evaluation method for a 5G energy-saving base station as described in claim 1, characterized in that: Step four, using a pre-constructed comprehensive energy consumption evaluation model, according to the comprehensive energy efficiency evaluation system of the 5G energy-saving base station, the method for comprehensively evaluating the energy consumption of a certain 5G energy-saving base station to obtain the comprehensive energy efficiency evaluation value of a certain 5G energy-saving base station is as follows: According to the comprehensive energy efficiency evaluation system of the 5G energy-saving base station, measure the half-load unit traffic volume energy consumption, actual unit traffic volume energy consumption and communication base station PUE value of a certain 5G base station. The efficiency of the base station main facilities is specifically reflected by its effectiveness per unit traffic volume under the half-load state, and the energy efficiency during the actual operation of the base station is calculated based on the effectiveness data of the actual unit traffic volume. Therefore, the energy efficiency evaluation value of the base station main equipment is calculated as follows: In the formula: are the weight values of the indicators respectively; H is the energy consumption per unit traffic volume under half load; R is the actual energy consumption per unit of business volume; H B is the benchmark value of energy consumption per unit of business volume; For the auxiliary facilities of 5G base stations, their energy efficiency is quantified and evaluated by the value of power usage efficiency. Therefore, the energy efficiency evaluation value of the base station supporting equipment is calculated as follows: Where: PUE is the PUE value of the communication base station; is the weight value of the index; Integrate the energy efficiency evaluation value of the base station main equipment and the energy efficiency evaluation value of the base station supporting equipment to jointly form a comprehensive energy efficiency evaluation of the energy conservation and emission reduction performance of the 5G base station, which is used to reflect the comprehensive energy efficiency evaluation result of the 5G base station. The calculation formula of the corresponding comprehensive energy efficiency evaluation value Score of the 5G base station is as follows:

9. A comprehensive energy efficiency evaluation method for a 5G energy-saving base station, characterized in that: It includes the following steps: S1, comprehensively consider the dynamic energy consumption factors and static energy consumption factors of the 5G energy-saving base station, and establish a typical energy consumption simulation model of the 5G base station. S2, extract the main factors affecting energy consumption, and construct a comprehensive energy efficiency evaluation system for the 5G energy-saving base station. S3, through analyzing and processing the index data, establish a comprehensive energy efficiency evaluation method for the 5G energy-saving base station.

10. A comprehensive energy efficiency evaluation system for a 5G energy-saving base station, characterized in that: Apply a comprehensive energy efficiency evaluation method for a 5G energy-saving base station as described in any one of claims 1-9, which includes: an energy efficiency information collection module, a data management module and an energy efficiency evaluation module; The energy efficiency information collection module is used to collect data related to the 5G energy-saving base station, set an energy efficiency threshold monitoring, real-time monitor the energy consumption status of the 5G energy-saving base station, and transmit the data to the data management module; The data management module is used to process the energy efficiency data of the 5G energy-saving base station collected in real time, store the energy efficiency data in a database, perform data cleaning and data preprocessing operations on the energy efficiency data, and accurately classify various data; The energy efficiency evaluation module is used to provide energy efficiency evaluation services for the 5G energy-saving base station, and complete the evaluation work by sorting and analyzing the index data and using the super-efficiency data envelopment analysis algorithm.

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