A high-efficiency computer room energy-saving control system and method

Abstract

The present application relates to the field of energy conservation in computer rooms, and in particular to an efficient computer room energy conservation control system and method, an efficient computer room energy conservation control system, including five modules: integrated data collection and monitoring, natural resource assessment and utilization, cooling demand calculation and prediction, energy conservation strategy formulation and execution, and data analysis and optimization. The system collects real-time environmental parameters, equipment status, and energy consumption data inside and outside the computer room, evaluates groundwater resources, geothermal energy, and external air quality to determine their applicability, accurately calculates and predicts cooling requirements, and formulates and implements energy conservation strategies based on this, such as adjusting the amount of fresh air and groundwater circulation. At the same time, the system conducts in-depth analysis of the execution results and monitoring data, evaluates the effectiveness of the strategy, and continuously optimizes the strategy to maximize the energy efficiency of the computer room, reduce energy waste, ensure a stable and reliable computer room environment, and promote the development of computer room management towards intelligence and automation.

Description

Technical Field

[0001] The present application relates to the field of energy saving in computer rooms, and in particular to a high-efficiency energy saving control system and method for computer rooms. Background Art

[0002] As the core infrastructure of modern information technology, computer rooms are facing increasingly prominent problems of high energy consumption and high heat emission. Traditional energy-saving measures for computer rooms often have limited effects and it is difficult to achieve precise control of the computer room environment and maximize energy efficiency.

[0003] Energy-saving control of computer rooms also needs to consider the rational use of natural resources. Natural resources such as groundwater, geothermal energy, and external air have great potential in computer room cooling, but how to evaluate the applicability of these resources, how to formulate effective utilization strategies, and how to ensure safety and stability during utilization are all difficult to solve by traditional computer room energy-saving control systems. Summary of the invention

[0004] In order to achieve precise control of the computer room environment and maximize energy efficiency, and rationally utilize natural resources for computer room cooling, the present application provides a high-efficiency computer room energy-saving control system and method.

[0005] In a first aspect, the present application provides a high-efficiency computer room energy-saving control system, comprising the following modules: Data collection and monitoring module, used to collect real-time environmental parameters such as temperature and humidity inside and outside the computer room, as well as the operating status and energy consumption data of the equipment; The natural resource assessment and utilization module uses geological exploration, meteorological monitoring and other technical means to assess the distribution and characteristics of groundwater and geothermal heat, as well as the temperature, humidity and quality of external air to determine whether it is suitable for cooling or heating the computer room; The cooling demand calculation and prediction module calculates the current required cooling capacity based on the load and temperature requirements of the computer room, and predicts the cooling demand change trend in the future; Energy-saving strategy formulation and execution module, which formulates energy-saving strategies based on natural resource assessment results and cooling demand calculations, and adjusts parameters such as fresh air volume and groundwater circulation volume to implement the strategies; Data analysis and optimization module, which organizes and analyzes execution results and monitoring data, and evaluates the effectiveness of energy-saving strategies; The data acquisition and monitoring module collects environmental parameters and equipment status in real time, and passes them to the natural resource assessment and utilization module and the cooling demand calculation module for evaluation and prediction. The energy-saving strategy formulation and execution module formulates and executes energy-saving strategies based on the evaluation results and predicted needs, and receives feedback from the data analysis and optimization module to optimize the strategy.

[0006] In a second aspect, a high-efficiency computer room energy-saving control method is implemented by using the above-mentioned high-efficiency computer room energy-saving control system, and includes the following steps: S1: Collect temperature, humidity and other parameters inside and outside the room in real time, analyze historical data, and understand the seasonal and daily variation characteristics of natural resources; S2: Obtain the distribution and characteristic data of groundwater and geothermal energy, evaluate whether the temperature and flow of groundwater meet the cooling requirements, whether the temperature of geothermal energy can be used for heating or auxiliary cooling, and whether the temperature, humidity and quality of external air are suitable for direct cooling; S3: Calculate the current required cooling capacity based on the load and temperature requirements of the computer room and predict the cooling demand change trend in the future; S4: If the outside air temperature is suitable and the quality is good, fresh air direct cooling is preferred. If the groundwater temperature is low and the flow is sufficient, the groundwater circulation cooling system is used. If the geothermal temperature meets the requirements, geothermal heating or auxiliary cooling is performed. When natural resources cannot meet the cooling needs, the cooling equipment itself is started; S5: Follow the cooling strategy, adjust parameters such as fresh air volume and groundwater circulation volume, monitor parameters such as temperature and humidity in the computer room to ensure that requirements are met, and promptly detect and handle abnormal situations; S6: Optimize the cooling strategy based on the execution results and monitoring data.

[0007] Optionally, the real-time collection of parameters such as temperature and humidity inside and outside the computer room, analysis of historical data, and understanding of seasonal and daily variation characteristics of natural resources include the following steps: S11: Deploy temperature sensors, humidity sensors, etc. at key locations inside and outside the computer room to ensure that the blockchain distribution area and the location of special equipment in the computer room are fully covered; S12: collects environmental parameters such as temperature and humidity inside and outside the computer room in real time through the sensor network; S13: Organize and analyze the collected historical data to understand the seasonal and diurnal characteristics of natural resources; S14: Analyze the impact of special equipment on environmental parameters based on their heat dissipation characteristics and operating requirements in the computer room to ensure that the collected and analyzed data can accurately reflect the actual conditions of the computer room.

[0008] Optionally, obtaining the distribution and characteristic data of groundwater and geothermal energy, evaluating whether the temperature and flow of groundwater meet the cooling requirements, whether the temperature of geothermal energy can be used for heating or auxiliary cooling, and whether the temperature, humidity and quality of external air are suitable for direct cooling, comprises the following steps: S21: Obtain geological data of the area where the computer room is located to understand the distribution and characteristics of groundwater and geothermal heat; S22: Conduct on-site exploration and testing of groundwater and geothermal resources around the computer room to assess whether their temperature and flow rate meet cooling or heating requirements; S23: Monitor the temperature, humidity and quality of the external air to assess whether it is suitable for direct use in the computer room cooling; S24: Combined with the blockchain distribution and special equipment characteristics of the computer room, a comprehensive assessment of natural resources such as groundwater, geothermal heat and external air is conducted to determine their suitability for cooling or heating the computer room.

[0009] Optionally, the step of calculating the currently required cooling capacity and predicting the cooling demand change trend in the future according to the load and temperature requirements of the computer room includes the following steps: S31: Analyze the heat dissipation of each device in the computer room to determine the total load of the computer room; S32: Determine the temperature and humidity control range of the computer room according to the operating temperature and humidity requirements of special equipment in the computer room; S33: Calculate the currently required cooling capacity according to the load and temperature requirements of the computer room; S34: Based on the operation mode of the computer room and the operation plan of special equipment, predict the changing trend of cooling demand in the future.

[0010] Optionally, if the outside air temperature is suitable and the quality is good, fresh air direct cooling is preferred; if the groundwater temperature is low and the flow is sufficient, a groundwater circulation cooling system is used; if the geothermal temperature meets the requirements, geothermal heating or auxiliary cooling is performed; when natural resources cannot meet the cooling needs, the cooling equipment itself is started, including the following steps: S41: Based on the results of the natural resource assessment, priority shall be given to the use of natural resources such as external air, groundwater and geothermal heat for cooling; S42: Initiate targeted cooling solutions based on the heat dissipation characteristics and operation requirements of special equipment in the computer room; S43: When natural resources cannot meet cooling needs, the backup cooling solution is activated to assist heat dissipation through basic cooling facilities; S44: Integrate and optimize natural resource utilization plans, special equipment cooling plans and backup cooling plans to form the final cooling strategy.

[0011] Optionally, the cooling strategy is executed according to the established cooling strategy, and parameters such as the fresh air volume and groundwater circulation volume are adjusted, and parameters such as the temperature and humidity in the computer room are monitored to ensure that the requirements are met, and abnormal situations are discovered and handled in a timely manner, including the following steps: S51: Execute the cooling strategy as per the established one and adjust the parameters such as fresh air volume and groundwater circulation volume; S52: Real-time monitoring of temperature, humidity and other parameters in the equipment room to ensure that requirements are met; S53: Once abnormal parameters or equipment failure are found, the emergency plan will be immediately activated for processing; S54: According to the characteristics of blockchain distribution in the computer room, special monitoring points are set up to ensure the stable operation and heat dissipation requirements of blockchain nodes are met.

[0012] Preferably, the step of optimizing the cooling strategy according to the execution results and monitoring data comprises the following steps: S61: Organize and analyze the execution results and monitoring data to evaluate the effectiveness of the cooling strategy; S62: Identify problems and deficiencies in cooling strategies; S63: Explore the application possibilities of new technologies in computer room cooling based on the special equipment characteristics and operation requirements of the computer room; S64: Continuously optimize and iterate the cooling strategy based on the evaluation results and improvement measures.

[0013] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of a high-efficiency computer room energy-saving control method as described in any one of the above items are implemented.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of a high-efficiency computer room energy-saving control method as described in any one of the above items are implemented.

[0015] In summary, this application includes the following beneficial technical effects: 1. By collecting environmental parameters and equipment status inside and outside the computer room in real time, the system can accurately calculate and predict cooling needs, thereby formulating a more scientific and reasonable energy-saving strategy. This not only avoids energy waste caused by excessive cooling or heating in traditional computer room management, but also reduces energy consumption by making full use of natural resources (such as groundwater and external air), significantly improving the overall energy efficiency of the computer room; 2. The system can monitor the environmental changes inside and outside the computer room in real time and dynamically adjust the energy-saving strategy according to these changes. This dynamic adjustment mechanism ensures that the computer room environment (such as temperature and humidity) is always kept within an appropriate range, thereby improving the operating stability and reliability of the equipment in the computer room and extending the service life of the equipment; 3. The introduction of an efficient computer room energy-saving control system has transformed computer room management from traditional reliance on manual experience and judgment to intelligent management based on data and algorithms. This not only reduces the burden on computer room managers and improves work efficiency, but also makes energy-saving strategies more accurate and efficient through continuous feedback and optimization of data analysis and optimization modules, realizing the automation and intelligent upgrade of computer room management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a principle block diagram of a high-efficiency computer room energy-saving control system in an embodiment of the present application.

[0017] Figure 2 It is a flow chart of an efficient computer room energy-saving control method in an embodiment of the present application.

[0018] Figure 3 It is a flowchart of the sub-steps of step S1 in the embodiment of the present application.

[0019] Figure 4 It is a flowchart of the sub-steps of step S2 in the embodiment of the present application.

[0020] Figure 5 It is a flowchart of the sub-steps of step S3 in the embodiment of the present application.

[0021] Figure 6 It is a flowchart of the sub-steps of step S4 in the embodiment of the present application.

[0022] Figure 7 It is a flowchart of the sub-steps of step S5 in the embodiment of the present application.

[0023] Figure 8 It is a flowchart of the sub-steps of step S6 in the embodiment of the present application. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1-Figure 8 This application is described in further detail.

[0025] Reference Figure 1 The present application embodiment discloses a high-efficiency computer room energy-saving control system, including the following modules: Data collection and monitoring module, used to collect real-time environmental parameters such as temperature and humidity inside and outside the computer room, as well as the operating status and energy consumption data of the equipment; The natural resource assessment and utilization module uses geological exploration, meteorological monitoring and other technical means to assess the distribution and characteristics of groundwater and geothermal heat, as well as the temperature, humidity and quality of external air to determine whether it is suitable for cooling or heating the computer room; The cooling demand calculation and prediction module calculates the current required cooling capacity based on the load and temperature requirements of the computer room, and predicts the cooling demand change trend in the future; Energy-saving strategy formulation and execution module, which formulates energy-saving strategies based on natural resource assessment results and cooling demand calculations, and adjusts parameters such as fresh air volume and groundwater circulation volume to implement the strategies; Data analysis and optimization module, which organizes and analyzes execution results and monitoring data, and evaluates the effectiveness of energy-saving strategies; The data acquisition and monitoring module collects environmental parameters and equipment status in real time, and passes them to the natural resource assessment and utilization module and the cooling demand calculation module for evaluation and prediction. The energy-saving strategy formulation and execution module formulates and executes energy-saving strategies based on the evaluation results and predicted needs, and receives feedback from the data analysis and optimization module to optimize the strategy.

[0026] Correspondingly, in the scenario of an efficient computer room, the above system realizes intelligent environmental control and energy management through tightly integrated modules such as data collection, resource assessment, demand forecasting, strategy formulation and execution, and data analysis and optimization. The following is an example to illustrate the corresponding situation.

[0027] Various sensors are deployed inside and outside the computer room, including temperature sensors, humidity sensors, air quality sensors, etc., to monitor environmental parameters in real time. At the same time, the operating status and energy consumption data of the equipment are continuously collected through the Internet of Things technology. These data are transmitted to the central monitoring system in real time through the network, providing a basis for subsequent analysis and decision-making.

[0028] Using geological survey data and meteorological monitoring systems, we evaluate the distribution and characteristics of groundwater and geothermal heat, as well as the temperature, humidity and quality of the outside air. For example, by analyzing the temperature and flow of groundwater, we can evaluate whether it is suitable for the cooling system of the computer room. At the same time, we monitor the temperature and humidity of the outside air to determine whether it can be used directly for cooling or needs pretreatment.

[0029] The current required cooling capacity is calculated based on the real-time load and temperature requirements of the computer room. By analyzing historical data, the trend of cooling demand changes in the future is predicted to provide a basis for the formulation of cooling strategies. For example, if high temperatures are predicted in summer, the system will adjust the cooling strategy in advance to ensure that the computer room can maintain a stable temperature under high load.

[0030] Based on the results of natural resource assessment and cooling demand calculation, the system automatically formulates energy-saving strategies. For example, it gives priority to direct cooling with external air, and when external conditions are not met, it activates the groundwater circulation cooling system. When the strategy is executed, the system automatically adjusts parameters such as fresh air volume and groundwater circulation volume to ensure that the computer room environment meets the requirements.

[0031] The system continuously collects execution results and monitoring data, and evaluates the effectiveness of energy-saving strategies through data analysis. For example, by comparing the energy consumption under different cooling strategies, the strategy is optimized to reduce energy consumption. In addition, the system optimizes the strategy based on feedback, forming a closed loop of continuous improvement to ensure that the cooling system is always in the best operating state.

[0032] Therefore, suppose that during the high temperatures of summer, the system predicts that the cooling demand for the computer room will increase significantly. Through natural resource assessment, it is found that the outside air temperature is too high and not suitable for direct use, while the groundwater temperature is low and the flow rate is sufficient. Therefore, the system automatically adjusts the strategy to give priority to the groundwater circulation cooling system and dynamically adjusts the groundwater circulation volume according to the cooling demand. At the same time, the system continuously monitors the temperature and humidity in the computer room to ensure that the environmental conditions meet the requirements. The data analysis and optimization module continuously adjusts the strategy parameters according to the execution results to achieve efficient use of energy and minimize costs.

[0033] Reference Figure 2 This embodiment also provides a high-efficiency computer room energy-saving control method, which is executed by using the above-mentioned high-efficiency computer room energy-saving control system, and includes the following steps: S1: Collect temperature, humidity and other parameters inside and outside the room in real time, analyze historical data, and understand the seasonal and daily variation characteristics of natural resources.

[0034] Reference Figure 3 , step S1 correspondingly includes the following sub-steps: S11: Deploy temperature sensors, humidity sensors, etc. at key locations inside and outside the computer room to ensure that the blockchain distribution area and the location of special equipment in the computer room are fully covered; S12: collects environmental parameters such as temperature and humidity inside and outside the computer room in real time through the sensor network; S13: Organize and analyze the collected historical data to understand the seasonal and diurnal characteristics of natural resources; S14: Analyze the impact of special equipment on environmental parameters based on their heat dissipation characteristics and operating requirements in the computer room to ensure that the collected and analyzed data can accurately reflect the actual conditions of the computer room.

[0035] Correspondingly, steps S11-S14 are described below by way of example.

[0036] In a high-efficiency computer room, high-precision temperature sensors and humidity sensors are deployed to fully cover the blockchain distribution area and the location of special equipment in the computer room. When designing the sensor network, the distribution of equipment and the location of heat sources in the computer room are taken into consideration to ensure coverage of key areas. For example, dense sensor networks are deployed in the blockchain server cluster area, near high-performance computing equipment, and at the air inlet and outlet of the computer room.

[0037] Among them, high-precision digital temperature sensors and humidity sensors such as DHT22 are used, with a temperature measurement range of -40°C to 80°C and an accuracy of ±0.5°C; the humidity measurement range is 0% to 100% and an accuracy of ±2%. According to the layout of the computer room and the distribution of equipment heat sources, a grid deployment strategy is adopted to ensure that there are at least 3 sensors in each key area to improve data redundancy and reliability.

[0038] The sensor network is connected to the central data acquisition system wirelessly or wired, uploading temperature and humidity data in real time at a cycle of 1 minute, and the collected data is stored in a time series database, such as InfluxDB, for subsequent analysis and historical data query.

[0039] On the other hand, in order to understand the seasonal and daily changes of natural resources and the impact of special equipment on environmental parameters, the collected historical data is analyzed in depth. For example, the changing trends of temperature and humidity inside and outside the computer room in summer and winter, as well as the impact of special equipment on environmental parameters during operation, are analyzed.

[0040] Use time series analysis algorithms, such as ARIMA (autoregressive integrated moving average model) and seasonal decomposition algorithms (such as STL, Seasonal and Trend decomposition using Loess), to identify seasonal and trend characteristics in the data. By comparing the changes in environmental parameters when the equipment is turned on and off, use statistical methods (such as t-tests) to evaluate the impact of equipment operation on the environment.

[0041] Then, we used the ARIMA model to analyze the seasonal changes in temperature and humidity inside and outside the computer room over the past year, and found that in summer, the temperature inside the computer room was 5°C lower than outside on average, and the humidity was 10% higher, while in winter, the temperature inside the computer room was 3°C higher than outside on average, and the humidity was 5% lower. When special equipment (such as high-performance computing clusters) was running, we used a t-test to compare the differences in temperature and humidity inside the room when the equipment was turned on and off, and found that when the equipment was running, the temperature inside the computer room increased by an average of 2°C, and the humidity decreased by 3%.

[0042] Replay Figure 2 , after step S1, the following steps are also included: S2: Obtain the distribution and characteristic data of groundwater and geothermal energy, evaluate whether the temperature and flow of groundwater meet the cooling requirements, whether the temperature of geothermal energy can be used for heating or auxiliary cooling, and whether the temperature, humidity and quality of external air are suitable for direct cooling.

[0043] Reference Figure 4 , step S2 correspondingly includes the following sub-steps.

[0044] S21: Obtain geological data of the area where the computer room is located to understand the distribution and characteristics of groundwater and geothermal heat; S22: Conduct on-site exploration and testing of groundwater and geothermal resources around the computer room to assess whether their temperature and flow rate meet cooling or heating requirements; S23: Monitor the temperature, humidity and quality of the external air to assess whether it is suitable for direct use in the computer room cooling; S24: Combined with the blockchain distribution and special equipment characteristics of the computer room, a comprehensive assessment of natural resources such as groundwater, geothermal heat and external air is conducted to determine their suitability for cooling or heating the computer room.

[0045] Correspondingly, steps S21-S24 are described below by way of example.

[0046] Assume that in the early stage of the construction of a high-efficiency computer room, the project team first obtained detailed geological data of the area where the computer room is located, including groundwater and geothermal distribution maps, geological structure maps, and hydrogeological reports. Based on this information, the team conducted on-site exploration and testing of groundwater and geothermal resources around the computer room to assess whether their temperature and flow meet the cooling or heating requirements.

[0047] In particular, through cooperation with the local geological survey bureau, high-precision geological data, including groundwater level, geothermal gradient, rock type and permeability, were obtained, and the availability of groundwater and geothermal resources was evaluated by using drilling and sampling techniques, combined with groundwater level monitoring and geothermal temperature measurement. For example, temperature sensors and flow meters were used to measure groundwater temperature and flow at different depths, as well as the temperature gradient of geothermal wells.

[0048] On the other hand, through on-site exploration, it was found that there was a stable groundwater layer around the computer room, with a temperature between 10°C and 15°C and sufficient flow, suitable for use as a cooling water source. The temperature gradient of the geothermal well is 30°C / km, and when the depth reaches 300 meters, the geothermal temperature can reach 90°C, which meets the heating needs of the computer room.

[0049] In addition, in order to evaluate whether the outside air is suitable for direct use in the computer room cooling, the project team set up multiple weather stations around the computer room to continuously monitor the temperature, humidity and quality of the outside air.

[0050] After obtaining geological data of the area where the computer room is located, conducting on-site exploration and testing of groundwater and geothermal resources, and monitoring the temperature, humidity, and quality of the outside air, a comprehensive assessment needs to be conducted based on the blockchain distribution and special equipment characteristics of the computer room. For example, blockchain node devices may be deployed in the computer room, which have high requirements for temperature and humidity. At the same time, other special equipment may also be deployed in the computer room, such as high-performance computing servers, which also have special requirements for cooling methods. Therefore, when evaluating the applicability of natural resources in cooling or heating the computer room, the characteristics and needs of these devices need to be fully considered.

[0051] When evaluating the suitability of groundwater for cooling a computer room, factors such as its temperature, flow rate, water quality, and the cooling requirements of the equipment in the computer room can be considered comprehensively; when evaluating the suitability of geothermal energy for heating a computer room, factors such as its temperature, geothermal gradient, and the heating requirements of the equipment in the computer room can be considered comprehensively. Ultimately, the most suitable natural resource for cooling or heating a computer room and its utilization method can be determined based on the evaluation results.

[0052] Replay Figure 2 , after step S2, the corresponding steps include: S3: Calculate the current required cooling capacity based on the load and temperature requirements of the computer room and predict the cooling demand change trend in the future.

[0053] Reference Figure 5 , step S3 correspondingly includes the following sub-steps: S31: Analyze the heat dissipation of each device in the computer room to determine the total load of the computer room; S32: Determine the temperature and humidity control range of the computer room according to the operating temperature and humidity requirements of special equipment in the computer room; S33: Calculate the currently required cooling capacity according to the load and temperature requirements of the computer room; S34: Based on the operation mode of the computer room and the operation plan of special equipment, predict the changing trend of cooling demand in the future.

[0054] Correspondingly, steps S31-S34 are described by way of example below.

[0055] In the operation and management of an efficient computer room, accurate analysis of the heat dissipation of each device in the computer room is the key to determining the total load. For example, by conducting a detailed analysis of the power consumption and heat dissipation characteristics of the servers, storage devices, and network devices in the computer room, combined with the thermal design power (TDP) data provided by the equipment manufacturer, the project team calculated that the total heat dissipation of the computer room when running at full load is 150kW. At the same time, considering the strict requirements of the operating environment for special equipment in the computer room, such as high-performance computing clusters, the temperature control range of the computer room is determined to be 20°C to 25°C, and the humidity control range is 40% to 60% to ensure the stable operation of the equipment and extend its service life.

[0056] In addition, based on the total load and temperature control requirements of the computer room, the project team used the principles of thermodynamics to calculate that under the current operating conditions, the required cooling capacity of the computer room is 180kW. In addition, by analyzing the operating mode of the computer room and the operating plan of special equipment, such as predicting that in the next quarter, due to business growth, the load of the computer room will increase by 20%, the team used time series prediction algorithms, such as the ARIMA model, to predict the trend of changes in the cooling demand of the computer room in the future. It is expected that the cooling demand will increase from the current 180kW to 216kW, which provides a scientific basis for the upgrade and expansion of the cooling system of the computer room and ensures the stable operation of the computer room during the peak business period.

[0057] Replay Figure 2 , after step S3, the following steps are also included: S4: If the outside air temperature is suitable and the quality is good, fresh air direct cooling is used first. If the groundwater temperature is low and the flow is sufficient, the groundwater circulation cooling system is used. If the geothermal temperature meets the requirements, geothermal heating or auxiliary cooling is performed. When natural resources cannot meet the cooling needs, start its own cooling equipment.

[0058] Reference Figure 6 , step S4 correspondingly includes the following sub-steps.

[0059] S41: Based on the results of the natural resource assessment, priority shall be given to the use of natural resources such as external air, groundwater and geothermal heat for cooling; S42: Initiate targeted cooling solutions based on the heat dissipation characteristics and operation requirements of special equipment in the computer room; S43: When natural resources cannot meet cooling needs, the backup cooling solution is activated to assist heat dissipation through basic cooling facilities; S44: Integrate and optimize natural resource utilization plans, special equipment cooling plans and backup cooling plans to form the final cooling strategy.

[0060] Correspondingly, steps S41-S44 are described below by way of example.

[0061] In the cooling strategy of the efficient computer room, priority is given to using natural resources such as external air, groundwater and geothermal heat for cooling to achieve energy conservation and emission reduction. For example, when the external air temperature is lower than the cooling temperature set in the computer room, the computer room will directly introduce external air for cooling, and use groundwater for pre-cooling to improve cooling efficiency. In response to the high heat dissipation requirements of special equipment such as high-performance computing clusters in the computer room, targeted cooling solutions have been launched, such as the use of liquid cooling technology to directly cool the equipment to ensure the stability and safety of the equipment when it is running under high load.

[0062] Secondly, in extreme cases where natural resources cannot meet cooling needs, such as high temperatures in summer, the computer room will start a backup cooling solution, using basic cooling facilities such as air conditioning systems and cooling towers to assist in heat dissipation, ensuring that the temperature and humidity of the computer room are controlled within a safe range. The project team integrated and optimized the natural resource utilization solution, special equipment cooling solution, and backup cooling solution to form a set of dynamically adjusted cooling strategies. For example, through the intelligent control system, the priority of the cooling solution and the operating parameters of the cooling equipment are automatically adjusted according to the real-time natural resource conditions and changes in the computer room load, achieving maximum cooling efficiency and minimization of energy consumption, ensuring efficient and stable operation of the computer room under various operating conditions.

[0063] Replay Figure 2 , after step S4, the following steps are also included: S5: Follow the established cooling strategy, adjust parameters such as fresh air volume and groundwater circulation volume, monitor parameters such as temperature and humidity in the computer room to ensure that requirements are met, and promptly detect and handle abnormal situations.

[0064] Reference Figure 7 , step S5 correspondingly includes the following sub-steps: S51: Execute the cooling strategy as per the established one and adjust the parameters such as fresh air volume and groundwater circulation volume; S52: Real-time monitoring of temperature, humidity and other parameters in the equipment room to ensure that requirements are met; S53: Once abnormal parameters or equipment failure are found, the emergency plan will be immediately activated for processing; S54: According to the characteristics of blockchain distribution in the computer room, special monitoring points are set up to ensure the stable operation and heat dissipation requirements of blockchain nodes are met.

[0065] Correspondingly, steps S51-S54 are described by way of example below.

[0066] First, in the daily operation of the high-efficiency computer room, the cooling strategy is strictly implemented, and the key parameters such as fresh air volume and groundwater circulation volume are dynamically adjusted through the intelligent control system to adapt to the changes in the computer room load and external environment. For example, during the high temperature period in summer, the system automatically increases the groundwater circulation volume to enhance the cooling effect, while reducing the fresh air volume to prevent high-temperature air from directly entering the computer room. Real-time monitoring of parameters such as temperature and humidity in the computer room ensures that they are always within the set control range, such as temperature control at 20°C to 25°C and humidity control at 40% to 60%, to ensure the normal operation of the equipment.

[0067] Secondly, once the monitoring system detects abnormal parameters such as temperature and humidity in the computer room, or a failure in the cooling equipment, the emergency plan will be immediately activated, such as automatically switching to the backup cooling system, and notifying maintenance personnel to conduct on-site inspections and processing to ensure the continuity and stability of the computer room operation. In view of the special needs of blockchain nodes in the computer room, special monitoring points are set up to monitor their operating status and heat dissipation in real time to ensure the stable operation of blockchain nodes. For example, by setting up temperature sensors and humidity sensors, the cabinets where the blockchain nodes are located are monitored 24 hours a day. Once the temperature or humidity is found to be out of the safe range, measures are taken immediately to adjust it, such as increasing the local cooling air volume, to ensure efficient heat dissipation and stable operation of blockchain nodes.

[0068] Replay Figure 2 , after step S5, the following steps are also included: S6: Optimize the cooling strategy based on the execution results and monitoring data.

[0069] Reference Figure 8 , step S6 correspondingly includes the following sub-steps.

[0070] S61: Organize and analyze the execution results and monitoring data to evaluate the effectiveness of the cooling strategy; S62: Identify problems and deficiencies in cooling strategies; S63: Explore the application possibilities of new technologies in computer room cooling based on the special equipment characteristics and operation requirements of the computer room; S64: Continuously optimize and iterate the cooling strategy based on the evaluation results and improvement measures.

[0071] This embodiment also provides an electronic device. The electronic device includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, an efficient computer room energy-saving control method is implemented: S1: Collect temperature, humidity and other parameters inside and outside the room in real time, analyze historical data, and understand the seasonal and daily variation characteristics of natural resources; S2: Obtain the distribution and characteristic data of groundwater and geothermal energy, evaluate whether the temperature and flow of groundwater meet the cooling requirements, whether the temperature of geothermal energy can be used for heating or auxiliary cooling, and whether the temperature, humidity and quality of external air are suitable for direct cooling; S3: Calculate the current required cooling capacity based on the load and temperature requirements of the computer room and predict the cooling demand change trend in the future; S4: If the outside air temperature is suitable and the quality is good, fresh air direct cooling is preferred. If the groundwater temperature is low and the flow is sufficient, the groundwater circulation cooling system is used. If the geothermal temperature meets the requirements, geothermal heating or auxiliary cooling is performed. When natural resources cannot meet the cooling needs, the cooling equipment itself is started; S5: Follow the cooling strategy, adjust parameters such as fresh air volume and groundwater circulation volume, monitor parameters such as temperature and humidity in the computer room to ensure that requirements are met, and promptly detect and handle abnormal situations; S6: Optimize the cooling strategy based on the execution results and monitoring data.

[0072] When the computer program is executed by a processor, any one of the efficient computer room energy-saving control methods in the above method embodiments can be implemented.

[0073] This embodiment further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: S1: Collect temperature, humidity and other parameters inside and outside the room in real time, analyze historical data, and understand the seasonal and daily variation characteristics of natural resources; S2: Obtain the distribution and characteristic data of groundwater and geothermal energy, evaluate whether the temperature and flow of groundwater meet the cooling requirements, whether the temperature of geothermal energy can be used for heating or auxiliary cooling, and whether the temperature, humidity and quality of external air are suitable for direct cooling; S3: Calculate the current required cooling capacity based on the load and temperature requirements of the computer room and predict the cooling demand change trend in the future; S4: If the outside air temperature is suitable and the quality is good, fresh air direct cooling is preferred. If the groundwater temperature is low and the flow is sufficient, the groundwater circulation cooling system is used. If the geothermal temperature meets the requirements, geothermal heating or auxiliary cooling is performed. When natural resources cannot meet the cooling needs, the cooling equipment itself is started; S5: Follow the cooling strategy, adjust parameters such as fresh air volume and groundwater circulation volume, monitor parameters such as temperature and humidity in the computer room to ensure that requirements are met, and promptly detect and handle abnormal situations; S6: Optimize the cooling strategy based on the execution results and monitoring data.

[0074] When the computer program is executed by a processor, any one of the efficient computer room energy-saving control methods in the above method embodiments can be implemented.

[0075] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0076] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0077] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application is described in detail in the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some of the technical features therein by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A high-efficiency energy-saving control system for a computer room, characterized in that: Includes the following modules: Data collection and monitoring module, used to collect real-time environmental parameters such as temperature and humidity inside and outside the computer room, as well as the operating status and energy consumption data of the equipment; The natural resource assessment and utilization module uses geological exploration, meteorological monitoring and other technical means to assess the distribution and characteristics of groundwater and geothermal heat, as well as the temperature, humidity and quality of external air to determine whether it is suitable for cooling or heating the computer room; The cooling demand calculation and prediction module calculates the current required cooling capacity based on the load and temperature requirements of the computer room, and predicts the cooling demand change trend in the future; Energy-saving strategy formulation and execution module, which formulates energy-saving strategies based on natural resource assessment results and cooling demand calculations, and adjusts parameters such as fresh air volume and groundwater circulation volume to implement the strategies; Data analysis and optimization module, which organizes and analyzes execution results and monitoring data, and evaluates the effectiveness of energy-saving strategies; The data acquisition and monitoring module collects environmental parameters and equipment status in real time, and passes them to the natural resource assessment and utilization module and the cooling demand calculation module for evaluation and prediction. The energy-saving strategy formulation and execution module formulates and executes energy-saving strategies based on the evaluation results and predicted needs, and receives feedback from the data analysis and optimization module to optimize the strategy.

2. A high-efficiency computer room energy-saving control method, implemented by a high-efficiency computer room energy-saving control system as claimed in claim 1, characterized in that: The following steps are involved: S1: Collect temperature, humidity and other parameters inside and outside the room in real time, analyze historical data, and understand the seasonal and daily variation characteristics of natural resources; S2: Obtain the distribution and characteristic data of groundwater and geothermal energy, evaluate whether the temperature and flow of groundwater meet the cooling requirements, whether the temperature of geothermal energy can be used for heating or auxiliary cooling, and whether the temperature, humidity and quality of external air are suitable for direct cooling; S3: Calculate the current required cooling capacity based on the load and temperature requirements of the computer room and predict the cooling demand change trend in the future; S4: If the outside air temperature is suitable and the quality is good, fresh air direct cooling is preferred. If the groundwater temperature is low and the flow is sufficient, the groundwater circulation cooling system is used. If the geothermal temperature meets the requirements, geothermal heating or auxiliary cooling is performed. When natural resources cannot meet the cooling needs, the cooling equipment itself is started; S5: Follow the cooling strategy, adjust parameters such as fresh air volume and groundwater circulation volume, monitor parameters such as temperature and humidity in the computer room to ensure that requirements are met, and promptly detect and handle abnormal situations; S6: Optimize the cooling strategy based on the execution results and monitoring data.

3. The high-efficiency computer room energy-saving control method according to claim 2 is characterized in that: The real-time collection of parameters such as temperature and humidity inside and outside the machine room, analysis of historical data, and understanding of the seasonal and daily variation characteristics of natural resources include the following steps: S11: Deploy temperature sensors, humidity sensors, etc. at key locations inside and outside the computer room to ensure that the blockchain distribution area and the location of special equipment in the computer room are fully covered; S12: collects environmental parameters such as temperature and humidity inside and outside the computer room in real time through the sensor network; S13: Organize and analyze the collected historical data to understand the seasonal and diurnal characteristics of natural resources; S14: Analyze the impact of special equipment on environmental parameters based on their heat dissipation characteristics and operating requirements in the computer room to ensure that the collected and analyzed data can accurately reflect the actual conditions of the computer room.

4. The high-efficiency computer room energy-saving control method according to claim 2 is characterized in that: The method of obtaining the distribution and characteristic data of groundwater and geothermal heat, evaluating whether the temperature and flow of groundwater meet the cooling demand, whether the temperature of geothermal heat can be used for heating or auxiliary cooling, and whether the temperature, humidity and quality of external air are suitable for direct cooling includes the following steps: S21: Obtain geological data of the area where the computer room is located to understand the distribution and characteristics of groundwater and geothermal heat; S22: Conduct on-site exploration and testing of groundwater and geothermal resources around the computer room to assess whether their temperature and flow rate meet cooling or heating requirements; S23: Monitor the temperature, humidity and quality of the external air to assess whether it is suitable for direct use in the computer room cooling; S24: Combined with the blockchain distribution and special equipment characteristics of the computer room, a comprehensive assessment of natural resources such as groundwater, geothermal heat and external air is conducted to determine their suitability for cooling or heating the computer room.

5. The high-efficiency computer room energy-saving control method according to claim 2 is characterized in that: The method of calculating the currently required cooling capacity and predicting the cooling demand change trend in the future based on the load and temperature requirements of the computer room includes the following steps: S31: Analyze the heat dissipation of each device in the computer room to determine the total load of the computer room; S32: Determine the temperature and humidity control range of the computer room according to the operating temperature and humidity requirements of special equipment in the computer room; S33: Calculate the currently required cooling capacity according to the load and temperature requirements of the computer room; S34: Based on the operation mode of the computer room and the operation plan of special equipment, predict the changing trend of cooling demand in the future.

6. The high-efficiency computer room energy-saving control method according to claim 2 is characterized in that: If the outside air temperature is suitable and the quality is good, fresh air direct cooling is preferred. If the groundwater temperature is low and the flow is sufficient, the groundwater circulation cooling system is used. If the geothermal temperature meets the requirements, geothermal heating or auxiliary cooling is performed. When natural resources cannot meet the cooling needs, the cooling equipment itself is started, including the following steps: S41: Based on the results of the natural resource assessment, priority shall be given to the use of natural resources such as external air, groundwater and geothermal heat for cooling; S42: Initiate targeted cooling solutions based on the heat dissipation characteristics and operation requirements of special equipment in the computer room; S43: When natural resources cannot meet cooling needs, the backup cooling solution is activated to assist heat dissipation through basic cooling facilities; S44: Integrate and optimize natural resource utilization plans, special equipment cooling plans and backup cooling plans to form the final cooling strategy.

7. The high-efficiency computer room energy-saving control method according to claim 2 is characterized in that: The cooling strategy is implemented according to the established cooling strategy, and the parameters such as fresh air volume and groundwater circulation volume are adjusted. The temperature and humidity in the computer room are monitored to ensure that the requirements are met, and abnormal situations are discovered and handled in a timely manner, including the following steps: S51: Execute the cooling strategy as per the established one and adjust the parameters such as fresh air volume and groundwater circulation volume; S52: Real-time monitoring of temperature, humidity and other parameters in the equipment room to ensure that requirements are met; S53: Once abnormal parameters or equipment failure are found, the emergency plan will be immediately activated for processing; S54: According to the characteristics of blockchain distribution in the computer room, special monitoring points are set up to ensure the stable operation and heat dissipation requirements of blockchain nodes are met.

8. The high-efficiency computer room energy-saving control method according to claim 2 is characterized in that: The cooling strategy is optimized according to the execution results and monitoring data, including the following steps: S61: Organize and analyze the execution results and monitoring data to evaluate the effectiveness of the cooling strategy; S62: Identify problems and deficiencies in cooling strategies; S63: Explore the application possibilities of new technologies in computer room cooling based on the special equipment characteristics and operation requirements of the computer room; S64: Continuously optimize and iterate the cooling strategy based on the evaluation results and improvement measures.

9. An electronic device, characterized in that: It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of a high-efficiency computer room energy-saving control method as described in any one of claims 2 to 8 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of a high-efficiency computer room energy-saving control method as described in any one of claims 2 to 8 are implemented.

Images