Base station PUE value calculation and optimization method

Abstract

The invention discloses a base station PUE value calculation and optimization method. The method comprises a base station PUE value calculation process and a PUE value optimization process. The specific process of calculating the PUE value of the base station is as follows: determining a measurement range: firstly, clearly calculating the range of the PUE value; measuring the energy consumption of the IT equipment: measuring and recording the energy consumption of all IT equipment by using a power measuring tool; measuring the total energy consumption: measuring the total energy consumption of the base station; after the data of the IT equipment energy consumption and the total energy consumption are obtained, the PUE value is calculated, and the calculation formula of the PUE value is PUE = IT equipment energy consumption / total energy consumption; data recording and analysis: recording data measured each time, including measurement time, IT equipment energy consumption, total energy consumption and the calculated PUE value; when the PUE value is abnormal, the PUE value is optimized; the PUE value optimization comprises the following specific processes: energy consumption analysis: analyzing the obtained iT equipment energy consumption and total energy consumption to obtain an analysis result. According to the invention, the PUE value can be better calculated and optimized.

Description

Technical Field

[0001] The present invention relates to the field of base station PUE, and in particular to a method for calculating and optimizing a base station PUE value. Background Art

[0002] The PUE value is an indicator used to measure the energy efficiency of a data center. It is usually defined as the ratio of the total energy consumption of a data center to the energy consumption of IT equipment. For base stations, although the term "PUE" is not directly used, the concept and calculation method of energy efficiency are similar;

[0003] In the process of analyzing and optimizing the base station PUE, the base station PUE value calculation and optimization method will be used.

[0004] The existing base station PUE value calculation and optimization method has poor calculation accuracy and optimization effect, which has a certain impact on the use of the base station PUE value calculation and optimization method. Therefore, a base station PUE value calculation and optimization method is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: how to solve the problem that the existing base station PUE value calculation and optimization method has poor calculation accuracy and optimization effect, which has brought certain impacts on the use of the base station PUE value calculation and optimization method, and provides a base station PUE value calculation and optimization method.

[0006] The present invention solves the above technical problems through the following technical solutions, which include a base station PUE value calculation process and a PUE value optimization process;

[0007] The specific process of calculating the base station PUE value is as follows:

[0008] Determine the measurement scope: First, you need to clearly define the range of the PUE value to be calculated;

[0009] Measure IT equipment energy consumption: Use power measurement tools to measure and record the energy consumption of all IT equipment;

[0010] Measure total energy consumption: measure the total energy consumption of the base station;

[0011] Calculate the PUE value: After obtaining the data on IT equipment energy consumption and total energy consumption, calculate the PUE value. The calculation formula for the PUE value is:

[0012] PUE = IT equipment energy consumption / total energy consumption;

[0013] Data recording and analysis: Record the data of each measurement, including measurement time, IT equipment energy consumption, total energy consumption and calculated PUE value;

[0014] When the PUE value is abnormal, the PUE value is optimized;

[0015] The specific process of PUE value optimization is as follows:

[0016] Energy consumption analysis: Analyze the energy consumption and total energy consumption of the acquired IT equipment and obtain the analysis results;

[0017] Formulate optimization plan: formulate optimization plan based on analysis results;

[0018] Implement optimization measures: gradually implement various measures according to the optimization plan;

[0019] Verification and evaluation: After the optimization plan is implemented, its optimization effect is verified and evaluated.

[0020] Furthermore, the specific process of measuring the energy consumption of IT equipment is as follows:

[0021] Select measurement tool: Select the corresponding power measurement tool;

[0022] Prepare the measurement environment: ensure that the measurement environment is stable and reduce the impact of external factors on the measurement results;

[0023] Place IT equipment in a location that is convenient for measurement and ensure that the equipment is in normal working condition;

[0024] Connect the measurement tool: Connect the power measurement tool to the power input of the IT equipment and ensure a stable connection;

[0025] Start measurement: Start the power measurement tool and start recording the energy consumption data of IT equipment.

[0026] Allow IT equipment to run for a preset period of time in normal working condition;

[0027] Record data: During the measurement process, regularly record the energy consumption data of IT equipment, including instantaneous power, average power, and cumulative energy consumption. Export the data to a computer or storage device as needed;

[0028] Analyze data: Analyze the collected data to obtain the energy consumption of IT equipment.

[0029] Furthermore, before the measurement, the power measurement tool needs to be verified, and the specific process of verifying the power measurement tool is as follows:

[0030] Prepare standards or known values: Prepare one or more standards or known physical quantities with known accurate values;

[0031] Set up the test environment: select the test environment, which meets the requirements of the measurement tool;

[0032] Install and calibrate measuring tools: Install and calibrate measuring tools according to their requirements;

[0033] Conduct preliminary tests: Perform preliminary tests on the measuring tool using standard parts or known values ​​to verify that it works within the normal range;

[0034] When the initial test results do not meet expectations, the installation and calibration process of the measuring tool should be checked and the above steps should be repeated;

[0035] Perform precision testing: Repeat the measurement several times using a standard or known value, record the result each time, compare the result with the standard or known value, and evaluate the precision of the measuring tool;

[0036] Analyze test results: calculate the mean value, standard deviation, and maximum error of the measurement results;

[0037] Determine whether the accuracy meets the requirements:

[0038] Based on the test results and the use requirements of the measuring tool, determine whether the accuracy of the measuring tool meets expectations. If the accuracy does not meet the requirements, further adjust the measuring tool or replace it with a more accurate measuring tool.

[0039] Furthermore, the measurement of IT equipment energy consumption and total energy consumption requires at least x tests, and after processing the x test results, the energy consumption and total energy consumption of all IT equipment are derived;

[0040] After processing the test results for x times, the specific process of deriving the energy consumption of all IT devices and the total energy consumption is as follows: after removing the maximum and minimum values ​​of the energy consumption of all IT devices for x times, the average of the energy consumption of all remaining x-2 IT devices is calculated, that is, the energy consumption of all IT devices finally derived is obtained;

[0041] After removing the maximum and minimum values ​​of the x total energy consumptions, the average of the remaining x-2 total energy consumptions is calculated, that is, the energy consumption of all IT devices that are finally exported is obtained.

[0042] Furthermore, the specific process of the energy consumption analysis is as follows:

[0043] Data cleaning and preprocessing: Clean and preprocess the collected energy consumption analysis results;

[0044] Data exploration: Use data visualization and statistical analysis methods to explore the characteristics and trends of energy consumption data;

[0045] Energy consumption analysis: Based on the results of data exploration, energy consumption analysis is performed. The analysis content includes analyzing the energy consumption contribution of different devices or systems, comparing the energy consumption differences in different time periods or different operating modes, identifying energy consumption anomalies or waste, and then obtaining and exporting the analysis results.

[0046] Furthermore, the specific process of the verification and evaluation is as follows: after the optimization plan is implemented, the energy consumption data of the data center, namely the total energy consumption and IT equipment energy consumption, is collected again, and then the total energy consumption and IT equipment energy consumption are calculated and processed to obtain the PUE values ​​before and after the optimization measures, and the change trend of the PUE value is analyzed;

[0047] When the PUE value decreases, it means that the optimization measures have effectively improved the energy efficiency of the data center and can continue to be optimized;

[0048] If the PUE value does not change or increases, the optimization scheme is replaced and optimized again.

[0049] Compared with the prior art, the present invention has the following advantages: the base station PUE value calculation and optimization method can save energy and reduce consumption: by reducing the PUE value, the energy consumption of the base station can be significantly reduced. This not only helps to reduce operating costs, but also helps to reduce carbon emissions and has a positive impact on the environment; improve equipment reliability: optimizing the PUE value usually involves improving the cooling system, power supply system and other aspects of the base station, thereby improving the stability and reliability of the equipment. This helps to reduce equipment failures and downtime, improve network availability and service quality; extend equipment life: reducing energy consumption can reduce equipment heating, thereby reducing equipment temperature. This helps to extend the service life of the equipment and reduce the cost of maintenance and replacement of equipment; improve operational efficiency: by monitoring and optimizing the energy use of the base station, potential energy waste problems can be discovered and solved in a timely manner. This helps to improve operational efficiency and reduce management costs. Through this method, more accurate base station PUE values ​​and better optimized base station PUE values ​​can be obtained, making this method more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is the overall structural diagram of the present invention. DETAILED DESCRIPTION

[0051] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0052] like Figure 1 As shown, this embodiment provides a technical solution: a base station PUE value calculation and optimization method, including a base station PUE value calculation process and a PUE value optimization process;

[0053] The specific process of calculating the base station PUE value is as follows:

[0054] Determine the measurement scope: First, it is necessary to clarify the scope of calculating the PUE value, that is, which equipment and systems should be included. Usually, this includes all IT equipment in the base station (such as servers, network equipment, transmission equipment, etc.), cooling systems (such as air conditioners, fans, etc.), power supply and distribution systems (such as UPS, transformers, switchboards, etc.), and lighting and other auxiliary equipment.

[0055] Measuring IT equipment energy consumption: IT equipment energy consumption is a key part of PUE calculation. Use power measurement tools (such as power meters, energy management software, etc.) to measure and record the energy consumption of all IT equipment. This usually includes the real-time power consumption of the equipment and the cumulative energy consumption over a certain period of time (such as hours, days, and months).

[0056] Measure total energy consumption: Next, you need to measure the total energy consumption of the base station. This includes the energy consumption of IT equipment, cooling system energy consumption, power supply and distribution system energy consumption, and the energy consumption of lighting and other auxiliary equipment. Again, use power measurement tools to measure and record the energy consumption of these devices.

[0057] Calculate the PUE value: After obtaining the data on IT equipment energy consumption and total energy consumption, calculate the PUE value. The calculation formula for the PUE value is:

[0058] PUE = IT equipment energy consumption / total energy consumption;

[0059] Data recording and analysis: Record the data of each measurement, including measurement time, IT equipment energy consumption, total energy consumption and calculated PUE value;

[0060] When the PUE value is abnormal, the PUE value is optimized.

[0061] Data recording and analysis: Record the data of each measurement, including the measurement time, IT equipment energy consumption, total energy consumption and calculated PUE value. Analyzing historical data can help understand the changing trend of base station energy consumption and find possible energy saving potential.

[0062] Note: When calculating the PUE value, you need to ensure the accuracy and reliability of the measurement data. Calibrate the measurement tools regularly and follow the correct measurement methods and procedures.

[0063] Pay attention to distinguishing the energy consumption in different time periods (such as peak hours and off-peak hours) in order to more accurately evaluate the energy efficiency of the base station.

[0064] The PUE value is only a relative indicator, which provides an overview of the energy efficiency of base stations. In order to further improve energy efficiency, it is necessary to combine other energy-saving measures and strategies for comprehensive consideration.

[0065] Through the above steps, the PUE value of the base station can be calculated, so as to understand the energy efficiency of the base station. According to the calculation results, corresponding energy-saving measures and strategies can be formulated to reduce the energy consumption of the base station and improve the energy efficiency.

[0066] The present invention can save energy and reduce consumption: by reducing the PUE value, the energy consumption of the base station can be significantly reduced. This not only helps to reduce operating costs, but also helps to reduce carbon emissions and has a positive impact on the environment; improve equipment reliability: optimizing the PUE value usually involves improving the cooling system, power supply system and other aspects of the base station, thereby improving the stability and reliability of the equipment. This helps to reduce equipment failures and downtime, improve network availability and service quality; extend equipment life: reducing energy consumption can reduce equipment heating, thereby reducing equipment temperature. This helps to extend the service life of the equipment and reduce the cost of maintenance and replacement of equipment; improve operational efficiency: by monitoring and optimizing the energy use of the base station, potential energy waste problems can be discovered and resolved in a timely manner. This helps to improve operational efficiency and reduce management costs, making this method more worthy of promotion and use.

[0067] The specific process of PUE value optimization is as follows:

[0068] Benchmark measurement: First, conduct a benchmark measurement, that is, record the current PUE value of the base station and the energy consumption of each subsystem. This includes IT equipment, cooling system, power supply and distribution system, etc.

[0069] Use professional energy consumption monitoring tools or systems to collect and record detailed data for subsequent analysis and comparison.

[0070] Energy consumption analysis: Conduct in-depth analysis of the collected data to identify the main sources of energy consumption and potential energy-saving points.

[0071] Analyze the energy efficiency of IT equipment to understand which devices or systems have high energy consumption and consider whether energy consumption can be reduced by upgrading or replacing equipment.

[0072] Analyze the operating efficiency of your cooling system to understand if there is over-cooling or under-cooling and consider optimizing your cooling strategy.

[0073] Analyze the energy efficiency of the power supply and distribution system to find out if there are any components or equipment with low energy efficiency, and consider whether they can be optimized or replaced.

[0074] Develop optimization plans: Develop targeted optimization plans based on the results of energy consumption analysis.

[0075] Consider adopting energy-saving technologies, such as virtualization, cloud computing, and green data center technologies, to improve the energy efficiency of IT equipment.

[0076] Optimize the cooling system, such as using natural cooling technology, intelligent temperature control system, etc., to reduce the energy consumption of cooling equipment such as air conditioners.

[0077] Optimize the power supply and distribution system, such as using high-efficiency transformers, UPS and other equipment to reduce the energy consumption of the power supply and distribution system.

[0078] Consider introducing renewable energy sources, such as solar energy, wind energy, etc., to reduce dependence on traditional energy.

[0079] Implement optimization measures: gradually implement various measures according to the optimization plan.

[0080] During the implementation process, pay attention to monitoring changes in various indicators to ensure the effectiveness of optimization measures.

[0081] If it is found that certain measures are not effective or have problems, adjust the optimization plan in time and continue to implement it.

[0082] Verification and evaluation: After implementing the optimization measures, re-measure the energy consumption and recalculate the PUE value.

[0083] Compare the PUE values ​​and various energy consumption indicators before and after optimization to evaluate the effectiveness of the optimization measures.

[0084] If the effect is significant, continue to execute and optimize; if the effect is not obvious or there are problems, re-analyze the reasons and develop a new optimization plan.

[0085] Continuous monitoring and improvement: Establish a long-term energy consumption monitoring mechanism and regularly collect and analyze data.

[0086] Adjust and optimize various measures in a timely manner based on the monitoring results to ensure that the base station always maintains a high level of energy efficiency.

[0087] Keep paying attention to new energy-saving technologies and methods, and introduce and apply them to base stations in a timely manner.

[0088] It should be noted that PUE value optimization is an ongoing process that requires continuous monitoring, analysis and adjustment. At the same time, the optimization process needs to comprehensively consider technical, economic, environmental and other factors to ensure the feasibility and effectiveness of the optimization measures.

[0089] The specific process of measuring the energy consumption of IT equipment is as follows:

[0090] Select measurement tools: First, you need to select appropriate power measurement tools, such as power meters, energy monitoring software, etc. Make sure the selected tools have sufficient accuracy and stability to accurately measure the energy consumption of IT equipment.

[0091] Prepare the measurement environment: Ensure that the measurement environment is stable to avoid external factors (such as temperature, humidity, voltage fluctuations, etc.) from affecting the measurement results.

[0092] Place IT equipment in a location that is convenient for measurement and ensure that the equipment is in normal working condition.

[0093] Connect the measurement tool: Connect the power measurement tool to the power input of the IT equipment and ensure that the connection is stable and reliable.

[0094] According to the requirements of the measurement tool, set the corresponding parameters, such as measurement range, sampling frequency, etc.

[0095] Start measurement: Start the power measurement tool and start recording the energy consumption data of IT equipment.

[0096] Allow the IT equipment to operate under normal operating conditions for a period of time (such as several minutes to several hours) to ensure the accuracy of the measurement results.

[0097] Record data: During the measurement process, regularly record the energy consumption data of IT equipment. Indicators such as instantaneous power, average power, and cumulative energy consumption can be recorded.

[0098] If needed, the data can be exported to a computer or storage device for subsequent analysis and processing.

[0099] Analyze data: Analyze the collected data to understand the energy consumption of IT equipment. You can calculate the average power, power factor, energy efficiency ratio and other indicators of the equipment.

[0100] Compare the energy consumption of different devices to identify inefficient devices or components and consider whether they need to be optimized or replaced.

[0101] Report compilation: The measurement and analysis results are compiled into a report, including equipment list, energy consumption data table, analysis results and suggestions, etc.

[0102] Submit the report to relevant personnel or departments so that they can understand the energy consumption of IT equipment and take corresponding measures.

[0103] It should be noted that when measuring the energy consumption of IT equipment, the accuracy and stability of the measuring tools should be ensured, and the correct measurement methods and procedures should be followed. At the same time, the measuring tools should be calibrated and maintained regularly to ensure the accuracy and reliability of the measurement results.

[0104] Before the measurement, the power measurement tool needs to be verified. The specific process of verifying the power measurement tool is as follows:

[0105] Prepare standards or known values: Prepare one or more standards or known physical quantities with known accurate values;

[0106] Set up the test environment: select the test environment, which meets the requirements of the measurement tool;

[0107] Install and calibrate measuring tools: Install and calibrate measuring tools according to their requirements;

[0108] Conduct preliminary tests: Perform preliminary tests on the measuring tool using standard parts or known values ​​to verify that it works within the normal range;

[0109] When the initial test results do not meet expectations, the installation and calibration process of the measuring tool should be checked and the above steps should be repeated;

[0110] Perform precision testing: Repeat the measurement several times using a standard or known value, record the result each time, compare the result with the standard or known value, and evaluate the precision of the measuring tool;

[0111] Analyze test results: calculate the mean value, standard deviation, and maximum error of the measurement results;

[0112] Determine whether the accuracy meets the requirements:

[0113] Based on the test results and the use requirements of the measuring tool, determine whether the accuracy of the measuring tool meets expectations. If the accuracy does not meet the requirements, further adjust the measuring tool or replace it with a more accurate measuring tool.

[0114] When measuring the energy consumption of IT equipment and the total energy consumption, at least x tests need to be performed, and after processing the x test results, the energy consumption and total energy consumption of all IT equipment are derived;

[0115] After processing the test results for x times, the specific process of deriving the energy consumption of all IT devices and the total energy consumption is as follows: after removing the maximum and minimum values ​​of the energy consumption of all IT devices for x times, the average of the energy consumption of all remaining x-2 IT devices is calculated, that is, the energy consumption of all IT devices finally derived is obtained;

[0116] After removing the maximum and minimum values ​​of the x total energy consumptions, the average of the remaining x-2 total energy consumptions is calculated, that is, the energy consumption of all IT devices finally exported is obtained, x≥10.

[0117] The specific process of the energy consumption analysis is as follows:

[0118] Data cleaning and preprocessing: Clean and preprocess the collected energy consumption analysis results;

[0119] Data exploration: Use data visualization and statistical analysis methods to explore the characteristics and trends of energy consumption data;

[0120] Energy consumption analysis: Based on the results of data exploration, energy consumption analysis is performed. The analysis content includes analyzing the energy consumption contribution of different devices or systems, comparing the energy consumption differences in different time periods or different operating modes, identifying energy consumption anomalies or waste, and then obtaining and exporting the analysis results.

[0121] The specific process of the verification and evaluation is as follows: after the optimization plan is implemented, the energy consumption data of the data center, namely the total energy consumption and IT equipment energy consumption, is collected again, and then the total energy consumption and IT equipment energy consumption are calculated and processed to obtain the PUE values ​​before and after the optimization measures, and the change trend of the PUE value is analyzed;

[0122] When the PUE value decreases, it means that the optimization measures have effectively improved the energy efficiency of the data center and can continue to be optimized;

[0123] If the PUE value does not change or increases, the optimization scheme is replaced and optimized again.

[0124] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0125] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0126] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for calculating and optimizing the PUE value of a base station, characterized in that: Including base station PUE value calculation process and PUE value optimization process; The specific process of calculating the base station PUE value is as follows: Determine the measurement scope: First, you need to clearly define the range of the PUE value to be calculated; Measure IT equipment energy consumption: Use power measurement tools to measure and record the energy consumption of all IT equipment; Measure total energy consumption: measure the total energy consumption of the base station; Calculate the PUE value: After obtaining the data on IT equipment energy consumption and total energy consumption, calculate the PUE value. The calculation formula for the PUE value is: PUE = IT equipment energy consumption / total energy consumption; Data recording and analysis: Record the data of each measurement, including measurement time, IT equipment energy consumption, total energy consumption and calculated PUE value; When the PUE value is abnormal, the PUE value is optimized; The specific process of PUE value optimization is as follows: Energy consumption analysis: Analyze the energy consumption and total energy consumption of the acquired IT equipment and obtain the analysis results; Formulate optimization plan: formulate optimization plan based on analysis results; Implement optimization measures: gradually implement various measures according to the optimization plan; Verification and evaluation: After the optimization plan is implemented, its optimization effect is verified and evaluated.

2. A method for calculating and optimizing a base station PUE value according to claim 1, characterized in that: The specific process of measuring the energy consumption of IT equipment is as follows: Select measurement tool: Select the corresponding power measurement tool; Prepare the measurement environment: ensure that the measurement environment is stable and reduce the impact of external factors on the measurement results; Place IT equipment in a location that is convenient for measurement and ensure that the equipment is in normal working condition; Connect the measurement tool: Connect the power measurement tool to the power input of the IT equipment and ensure a stable connection; Start measurement: Start the power measurement tool and start recording the energy consumption data of IT equipment; Allow IT equipment to run for a preset period of time in normal working condition; Record data: During the measurement process, regularly record the energy consumption data of IT equipment, including instantaneous power, average power, and cumulative energy consumption. Export the data to a computer or storage device as needed; Analyze data: Analyze the collected data to obtain the energy consumption of IT equipment.

3. A method for calculating and optimizing a base station PUE value according to claim 2, characterized in that: Before the measurement, the power measurement tool needs to be verified. The specific process of verifying the power measurement tool is as follows: Prepare standards or known values: Prepare one or more standards or known physical quantities with known accurate values; Set up the test environment: select the test environment, which meets the requirements of the measurement tool; Install and calibrate measuring tools: Install and calibrate measuring tools according to their requirements; Conduct preliminary tests: Perform preliminary tests on the measuring tool using standard parts or known values ​​to verify that it works within the normal range; When the initial test results do not meet expectations, the installation and calibration process of the measuring tool should be checked and the above steps should be repeated; Perform precision testing: Repeat the measurement several times using a standard or known value, record the result each time, compare the result with the standard or known value, and evaluate the precision of the measuring tool; Analyze test results: calculate the mean value, standard deviation, and maximum error of the measurement results; Determine whether the accuracy meets the requirements: Based on the test results and the use requirements of the measuring tool, determine whether the accuracy of the measuring tool meets expectations. If the accuracy does not meet the requirements, further adjust the measuring tool or replace it with a more accurate measuring tool.

4. A method for calculating and optimizing a base station PUE value according to claim 1, characterized in that: When measuring the energy consumption of IT equipment and the total energy consumption, at least x tests need to be performed, and after processing the x test results, the energy consumption and total energy consumption of all IT equipment are derived; After processing the test results for x times, the specific process of deriving the energy consumption of all IT devices and the total energy consumption is as follows: after removing the maximum and minimum values ​​of the energy consumption of all IT devices for x times, the average of the energy consumption of all remaining x-2 IT devices is calculated, that is, the energy consumption of all IT devices finally derived is obtained; After removing the maximum and minimum values ​​of the x total energy consumptions, the average of the remaining x-2 total energy consumptions is calculated, that is, the energy consumption of all IT devices that are finally exported is obtained.

5. A method for calculating and optimizing a base station PUE value according to claim 1, characterized in that: The specific process of the energy consumption analysis is as follows: Data cleaning and preprocessing: Clean and preprocess the collected energy consumption analysis results; Data exploration: Use data visualization and statistical analysis methods to explore the characteristics and trends of energy consumption data; Energy consumption analysis: Based on the results of data exploration, energy consumption analysis is performed. The analysis content includes analyzing the energy consumption contribution of different devices or systems, comparing the energy consumption differences in different time periods or different operating modes, identifying energy consumption anomalies or waste, and then obtaining and exporting the analysis results.

6. A method for calculating and optimizing a base station PUE value according to claim 1, characterized in that: The specific process of the verification and evaluation is as follows: after the optimization plan is implemented, the energy consumption data of the data center, namely the total energy consumption and IT equipment energy consumption, is collected again, and then the total energy consumption and IT equipment energy consumption are calculated and processed to obtain the PUE values ​​before and after the optimization measures, and the change trend of the PUE value is analyzed; When the PUE value decreases, it means that the optimization measures have effectively improved the energy efficiency of the data center and can continue to be optimized; If the PUE value does not change or increases, the optimization scheme is replaced and optimized again.

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