Mode switching method, device and equipment of water cooling system, storage medium and product

Abstract

The invention relates to a mode switching method and device of a water cooling system, equipment, a storage medium and a product, and the mode switching method of the water cooling system comprises the steps that the outdoor wet bulb temperature is obtained in real time; an optimization mode combination is determined based on the temperature interval where the outdoor wet bulb temperature is located; the two function modes in the optimization mode combination are adjacent in the system function mode sequence; under the constraint of a safety parameter range corresponding to the optimization mode combination, taking the minimum total energy consumption of the system as an optimization target, performing parameter optimization in an outdoor wet bulb temperature optimization range corresponding to the optimization mode combination, and obtaining a mode switching point between two function modes corresponding to the optimization mode combination; and under the condition that the outdoor wet bulb temperature reaches the mode switching point, the water cooling system is indicated to conduct function mode switching. By means of the method, on the premise that safe operation of the system is guaranteed, efficient and smooth switching between different function modes is achieved, and the overall energy consumption of the water cooling system is effectively reduced.

Description

Technical Field

[0001] This application relates to the field of water cooling system technology, and in particular to a mode switching method, apparatus, device, storage medium and product for a water cooling system. Background Technology

[0002] As data centers continue to expand and energy consumption becomes increasingly prominent, water cooling systems, as critical infrastructure, face significant challenges in optimizing energy efficiency. Traditional data center water cooling systems often rely on fixed thresholds or empirical judgments to switch between three modes: plate heat exchanger mode, pre-cooling mode, and chiller mode. This fails to fully consider multiple factors such as dynamic changes in environmental parameters, system response characteristics, and actual operating conditions, resulting in low energy utilization efficiency. Summary of the Invention

[0003] This application provides a method, apparatus, device, storage medium, and product for switching modes in a water-cooling system, which can solve the technical problem of low energy utilization caused by switching functional modes based on a fixed threshold. The technical solution is as follows.

[0004] On the one hand, a mode switching method for a water-cooling system is provided, the method comprising: Real-time acquisition of outdoor wet-bulb temperature; The optimal mode combination is determined based on the temperature range of the outdoor wet-bulb temperature; the two functional modes in the optimal mode combination are adjacent in the system functional mode sequence. Under the constraint of the safety parameter range corresponding to the optimization mode combination, with the minimum total system energy consumption as the optimization objective, parameter optimization is performed within the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination to obtain the mode switching point between the two functional modes corresponding to the optimization mode combination. When the outdoor wet-bulb temperature reaches the mode switching point, the function mode of the water cooling system is switched from the first function mode in the optimization mode combination to the second function mode.

[0005] On the other hand, a mode switching device for a water cooling system is provided, the device comprising: Temperature acquisition module, used to acquire outdoor wet-bulb temperature in real time; The combination determination module is used to determine the optimal combination of modes based on the temperature range in which the outdoor wet-bulb temperature is located. The optimization module is used to optimize parameters within the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination, with the goal of minimizing the total energy consumption of the system, under the constraint of the safety parameter range corresponding to the optimization mode combination, and to obtain the mode switching point between the two functional modes corresponding to the optimization mode combination. The mode switching module is used to instruct the water cooling system to switch from the first functional mode in the optimization mode combination to the second functional mode when the outdoor wet-bulb temperature reaches the mode switching point.

[0006] In one possible implementation, the safety parameter range includes the equipment control parameter range and the lower tower temperature range corresponding to each functional mode; The optimization module includes: The set generation submodule is used to generate a set of candidate parameters based on the range of the device control parameters and the outdoor wet-bulb temperature optimization range corresponding to the combination of optimization modes. The calculation submodule is used to calculate the system energy consumption and lower tower temperature of each candidate parameter combination in the candidate parameter set under the two functional modes. The optimization submodule is used to determine the outdoor wet-bulb temperature in the candidate parameter combination that meets the optimization condition in the candidate parameter set as the mode switching point between the two functional modes corresponding to the optimization mode combination; the optimization condition is that the lower tower temperature is within the lower tower temperature range of the corresponding functional mode and the energy consumption is the lowest.

[0007] In one possible implementation, the set generation submodule is used to traverse each parameter within the range of the device control parameters and each parameter within the range of the outdoor wet-bulb temperature optimization corresponding to the optimization mode combination, perform a data explosion operation, and generate the candidate parameter set.

[0008] In one possible implementation, different functional modes correspond to different energy consumption calculation models; The calculation submodule is used to calculate the system energy consumption of each candidate parameter combination through the energy consumption calculation model corresponding to each of the two functional modes. The lower column temperature is calculated using a lower column temperature calculation model for each candidate parameter combination.

[0009] In one possible implementation, the device further includes: The data acquisition module is used to acquire historical operating data of the water cooling system under various functional modes; The model building module is used to build models based on historical operating parameters and historical system energy consumption in the historical operating data corresponding to each functional mode, so as to obtain the energy consumption calculation model corresponding to each functional mode.

[0010] In one possible implementation, the functional modes include plate heat exchange mode, pre-cooling mode, and chiller mode; The mode switching module is also used for, When the outdoor wet-bulb temperature is in the first temperature range, the function mode of the water cooling system is set to plate heat exchange mode. When the outdoor wet-bulb temperature is in the second temperature range, the function mode of the water cooling system is set to pre-cooling mode. When the outdoor wet-bulb temperature is in the third temperature range, the function mode of the water cooling system is set to chiller mode. The maximum value of the first temperature range is less than the minimum value of the second temperature range, and the maximum value of the second temperature range is less than the minimum value of the third temperature range.

[0011] On the other hand, a computer device is provided, the computer device including a processor and a memory, the memory storing at least one computer program, the at least one computer program being loaded and executed by the processor to implement the above-described mode switching method for the water cooling system.

[0012] On the other hand, a computer-readable storage medium is provided, wherein at least one computer program is stored in the computer-readable storage medium, the computer program being loaded and executed by a processor to implement the above-described mode switching method for a water-cooling system.

[0013] On the other hand, a computer program product is provided, the computer program product including a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, which, when executed by a computer, cause the computer to execute to implement the mode switching method of the water cooling system provided in the above-described optional implementations.

[0014] The mode switching method for a water-cooled system provided in this application monitors the outdoor wet-bulb temperature in real time, determines an optimal mode combination based on the temperature range of the outdoor wet-bulb temperature, and optimizes the system to minimize total energy consumption within the safety parameter range corresponding to the optimal mode combination. Parameter optimization is performed within the outdoor wet-bulb temperature optimization range corresponding to the optimal mode combination to obtain the mode switching point between the two functional modes corresponding to the optimal mode combination. When the outdoor wet-bulb temperature reaches the mode switching point, the water-cooled system's functional mode is switched from the first functional mode to the second functional mode. Based on the dynamically optimized mode switching strategy, the intelligence of functional mode switching in the water-cooled system can be improved, and the energy efficiency of the water-cooled system can be enhanced. Compared with the traditional fixed threshold switching method, the method provided in this application establishes an outdoor wet-bulb temperature optimization range between adjacent functional modes and performs intelligent optimization with the goal of minimizing system energy consumption. It fully considers the dynamic changes of environmental parameters and system operating characteristics, and can adaptively determine the optimal mode switching point. Thus, while ensuring the safe operation of the system, it achieves efficient and smooth switching between different functional modes, thereby effectively reducing the overall energy consumption of the water-cooled system.

[0015] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0017] Figure 1 A flowchart illustrating a mode switching method for a water-cooling system provided in an exemplary embodiment of this application is shown. Figure 2 A flowchart of a mode switching method for a water-cooling system provided in another exemplary embodiment of this application is shown; Figure 3 This invention provides a schematic diagram illustrating the switching of a water-cooling system function mode according to an exemplary embodiment of the present application. Figure 4 A block diagram of a mode switching device for a water cooling system provided in an exemplary embodiment of this application is shown; Figure 5 This application shows a structural block diagram of a computer device according to an exemplary embodiment. Figure 6 A structural block diagram of a computer device is shown in another exemplary embodiment of this application. Detailed Implementation

[0018] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of methods consistent with some aspects of this application as detailed in the appended claims.

[0019] To improve energy efficiency, realize intelligent mode switching of water cooling system, and enhance the energy utilization efficiency of water cooling system, this application provides a mode switching method for water cooling system. This method dynamically determines the mode switching point between functional modes under the constraint of safety parameter range and with the minimum total energy consumption of the system as the optimization condition. This improves the accuracy of mode switching point determination under different environments and can enhance the overall energy utilization rate of water cooling system while ensuring system reliability.

[0020] Figure 1 This application illustrates a flowchart of a mode switching method for a water-cooling system provided in an exemplary embodiment. This method can be executed by a computer device, which can be implemented as a server or a terminal, such as... Figure 1 As shown, the method may include the following steps.

[0021] Step 110: Obtain the outdoor wet-bulb temperature in real time.

[0022] Wet-bulb temperature (WBT), also known as thermodynamic wet-bulb temperature, is a method for determining the relative humidity of air. It represents the lowest temperature that air can reach during adiabatic saturation, that is, the temperature at which air reaches thermodynamic equilibrium when it comes into contact with water and is cooled by mechanical means under adiabatic conditions.

[0023] The outdoor wet-bulb temperature can be measured using a wet-bulb thermometer, and the measured outdoor wet-bulb temperature can be input or transmitted to a computer device in real time.

[0024] Step 120: Determine the optimal mode combination based on the temperature range of the outdoor wet-bulb temperature; the two functional modes in the optimal mode combination are adjacent in the system functional mode sequence.

[0025] In this embodiment, the computer device can establish a correspondence between different optimization mode combinations and temperature ranges. Each optimization mode combination includes two functional modes, and these two functional modes are adjacent in the system functional mode sequence of the water cooling system. Schematic, if the system functional mode sequence of the water cooling system is: heat exchanger mode, pre-cooling mode, and chiller mode, then the optimization mode combination can be a combination of heat exchanger mode and pre-cooling mode, or a combination of pre-cooling mode and chiller mode. It should be noted that since the functional mode settings and number of different water cooling systems may be different, the system functional mode sequence may also be different. Therefore, different optimization mode combinations can correspond to different water cooling systems, and this application does not impose any restrictions on this.

[0026] Step 130: Under the constraint of the safety parameter range corresponding to the optimization mode combination, with the goal of minimizing the total energy consumption of the system, perform parameter optimization within the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination to obtain the mode switching point between the two functional modes corresponding to the optimization mode combination.

[0027] The mode switching point refers to the outdoor wet-bulb temperature value used when switching between two functional modes, i.e., the critical wet-bulb temperature between the two functional modes. For example, taking the two functional modes corresponding to the optimal mode combination as heat exchanger mode and pre-cooling mode, after determining the mode switching point corresponding to the optimal mode combination through parameter optimization, if the outdoor wet-bulb temperature is lower than the mode switching point, the recommended functional mode is heat exchanger mode; if the outdoor wet-bulb temperature is higher than or equal to the mode switching point, the recommended functional mode is pre-cooling mode.

[0028] Under the system safety constraints corresponding to adjacent operating mode combinations, outdoor wet-bulb temperature optimization is performed. This involves establishing an optimization parameter space that includes equipment operating parameters and outdoor wet-bulb temperature. The range of wet-bulb temperature values ​​is limited to a preset optimization interval (i.e., the outdoor wet-bulb temperature optimization range) corresponding to the optimization mode combination. Under the premise of system safety constraints, the computer equipment can generate different parameter combinations and perform energy consumption calculations to select the parameter combination with the lowest system energy consumption. The outdoor wet-bulb temperature in this parameter combination is then determined as the mode switching point. The safety parameter ranges may differ under different functional modes, and the safety parameter ranges under the same functional mode may also differ in different water-cooling systems. In practical applications, the safety parameter ranges of each functional mode corresponding to the water-cooling system can be input into the computer equipment so that the computer equipment can adapt to the water-cooling system for parameter optimization, thereby obtaining the mode switching point adapted to the water-cooling system.

[0029] Step 140: When the outdoor wet-bulb temperature reaches the mode switching point, the function mode of the water cooling system is switched from the first function mode in the optimization mode combination to the second function mode.

[0030] In one possible implementation, the computer device can provide feedback on the mode switching point to relevant personnel in the form of recommendation information, instructing them to switch the water cooling system's functional mode from the first functional mode to the second functional mode when the outdoor wet-bulb temperature reaches the mode switching point. Alternatively, in another possible implementation, the computer device can provide feedback on mode switching prompts when it detects that the outdoor wet-bulb temperature has reached the mode switching point, instructing the water cooling system to switch its functional mode. In yet another possible implementation, the computer device can establish a control connection with the water cooling system. After determining the mode switching point corresponding to the optimal mode combination, the computer device can monitor the outdoor wet-bulb temperature in real time. When it determines that the outdoor wet-bulb temperature has reached the corresponding mode switching point, the computer device can send a mode switching command to the water cooling system, instructing the water cooling system's functional mode to switch from the first functional mode to the second functional mode.

[0031] In summary, the mode switching method for a water-cooled system provided in this application monitors the outdoor wet-bulb temperature in real time, determines an optimal mode combination based on the temperature range of the outdoor wet-bulb temperature, and optimizes the system's total energy consumption within the safety parameter range corresponding to the optimal mode combination, with the goal of minimizing total energy consumption. Parameter optimization is performed within the outdoor wet-bulb temperature optimization range corresponding to the optimal mode combination to obtain the mode switching point between the two functional modes corresponding to the optimal mode combination. When the outdoor wet-bulb temperature reaches the mode switching point, the water-cooled system's functional mode is switched from the first functional mode to the second functional mode. Based on a dynamically optimized mode switching strategy, the intelligence of functional mode switching in the water-cooled system can be improved, and the energy efficiency of the water-cooled system can be enhanced. Compared with the traditional fixed threshold switching method, the method provided in this application establishes an outdoor wet-bulb temperature optimization range between adjacent functional modes, performs intelligent optimization with the goal of minimizing system energy consumption, fully considers the dynamic changes of environmental parameters and system operating characteristics, and can adaptively determine the optimal mode switching point. Thus, while ensuring the safe operation of the system, efficient and smooth switching between different functional modes is achieved, thereby effectively reducing the overall energy consumption of the water-cooled system.

[0032] In this embodiment, the safety parameter range may include the equipment control parameter range and the lower tower temperature range corresponding to each functional mode. That is, different functional modes correspond to different lower tower temperature ranges. In this case, during parameter optimization, the computer equipment needs to ensure that each equipment parameter in the parameter combination is within the equipment control parameter range, and that the lower tower temperature corresponding to the parameter combination is within the lower tower temperature range of the corresponding functional mode, in order to ensure system safety. Based on this, Figure 2A flowchart illustrating a mode switching method for a water-cooling system provided in another exemplary embodiment of this application is shown. This method can be executed by a computer device, which can be implemented as a server or a terminal, such as... Figure 2 As shown, the method may include the following steps.

[0033] Step 210: Obtain the outdoor wet-bulb temperature in real time.

[0034] Step 220: Determine the optimal mode combination based on the temperature range of the outdoor wet-bulb temperature; the two functional modes in the optimal mode combination are adjacent in the system functional mode sequence.

[0035] In one possible implementation, the functional mode sequence of the water-cooling system is plate heat exchanger mode, pre-cooling mode, and chiller mode. The temperature range corresponding to different optimization mode combinations can be the wet-bulb temperature range that serves as a transition between adjacent functional modes. For example, in the traditional switching method, the wet-bulb temperature range in chiller mode is >= 14℃, the wet-bulb temperature range in pre-cooling mode is >= 8℃ and < 14℃, and the wet-bulb temperature range in plate heat exchanger mode is < 8℃. When setting the temperature range, the temperature range corresponding to the optimization mode combination consisting of plate heat exchanger mode and pre-cooling mode can be set to 7-9℃, and the temperature range corresponding to the optimization mode combination consisting of pre-cooling mode and cooling mode can be set to 13℃-15℃. It should be noted that the wet-bulb temperature range corresponding to each of the above functional modes, as well as the temperature range corresponding to each optimization combination mode, can be set based on actual needs, and this application does not impose any restrictions on this.

[0036] Step 230: Generate a set of candidate parameters based on the range of equipment control parameters and the outdoor wet-bulb temperature optimization range corresponding to the combination of optimization modes.

[0037] The candidate parameter set can contain multiple candidate parameter combinations. Each candidate parameter combination can contain the corresponding equipment control parameters and the outdoor wet-bulb temperature. The values ​​of the equipment control parameters in each candidate parameter combination are within the corresponding equipment control parameter range, and the values ​​of the outdoor wet-bulb temperature in each candidate parameter combination are within the corresponding outdoor wet-bulb temperature optimization range.

[0038] For illustrative purposes, equipment control parameters may include chilled water outlet temperature of the chiller, frequency control range of the chilled pump, frequency control range of the cooling pump, and frequency control range of the cooling tower. The values ​​or ranges of equipment control parameters may differ in different water-cooling systems. For illustrative purposes, the chilled water outlet temperature of the chiller may be 13.5℃, the frequency control range of the chilled pump may be 25HZ-48HZ, the frequency control range of the cooling pump may be 25HZ-48HZ, and the frequency control range of the cooling tower may be 25HZ-50HZ.

[0039] Different combinations of optimization modes correspond to different outdoor wet-bulb temperature optimization ranges. In one possible implementation, the outdoor wet-bulb temperature optimization range corresponding to the combination of optimization modes is within the temperature range corresponding to the combination of optimization modes. Alternatively, in another possible implementation, the outdoor wet-bulb temperature optimization range corresponding to the combination of optimization modes can be greater than or less than the value range of the temperature range corresponding to the combination of optimization modes. This application does not impose any restrictions on this.

[0040] In one possible implementation, the computer device can generate a set of candidate parameters through a data explosion approach, which can be implemented as follows: The system iterates through all parameters within the range of equipment control parameters and all parameters within the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination, performs a data explosion operation, and generates a set of candidate parameters.

[0041] In a schematic manner, the computer device can use the explode function of the dataframe to perform data explosion for each optimization mode combination, thereby obtaining the dataframe format data to be optimized for each optimization mode combination. This data serves as the candidate parameter combination for each optimization mode combination, enabling the system energy consumption calculation based on the energy consumption calculation model corresponding to each optimization mode combination, and the lower tower temperature calculation based on the lower tower temperature calculation model.

[0042] Step 240: Calculate the system energy consumption and lower tower temperature of each candidate parameter combination in the candidate parameter set under the two functional modes.

[0043] Different functional modes correspond to different energy consumption calculation models. When calculating the system energy consumption and lower column temperature of each candidate parameter combination under two functional modes, the computer equipment can perform the corresponding calculations by calling the energy consumption calculation model and lower column temperature calculation model of different functional modes in the optimization mode combination corresponding to the candidate parameter combination. This process can be implemented as follows: The system energy consumption of each candidate parameter combination is calculated using the energy consumption calculation models corresponding to the two functional modes. The lower column temperature is calculated using a lower column temperature calculation model for each candidate parameter combination.

[0044] The energy consumption calculation model for each functional mode can be constructed based on the historical operating data of each functional mode. This process can be implemented as follows: Acquire historical operating data of the water cooling system under various functional modes; Based on the historical operating parameters and historical system energy consumption in the historical operating data corresponding to each functional mode, a model is constructed to obtain the energy consumption calculation model corresponding to each functional mode.

[0045] The acquisition period for historical operating data can be set based on actual needs, such as one year, one month, several months, one week, or several weeks. In one possible implementation, the computer equipment can acquire historical operating data of the water cooling system within a certain period. This data can be in the form of a data.csv file, which the computer equipment can read using the pandas library to obtain a DataFrame format data file (df). After acquiring the historical operating data of the water cooling system, the computer equipment can classify the historical operating data based on the identifiers of each functional mode, obtaining the historical operating data corresponding to each functional mode. The identifiers of each functional mode can be indicated schematically using standby status variables. The computer equipment can utilize… "", "and" "Three conditions are used to filter data for plate heat exchanger mode, pre-cooling mode, and chiller mode, respectively. Among them, for plate heat exchanger mode:" Pre-cooling mode: Cold mode: .

[0046] When constructing an energy consumption calculation model, computer equipment can use machine learning or equipment mechanism formulas to build the model. Taking machine learning as an example, the computer equipment can input historical operating data under the target functional mode into the pre-trained energy consumption calculation model to obtain the predicted system energy consumption output by the energy consumption calculation model. Based on the predicted system energy consumption and the historical system energy consumption corresponding to the historical operating data, a loss function is calculated. The parameters of the energy consumption calculation model are updated based on the calculation result of the loss function until the training completion condition is met, and the energy consumption calculation model of the target functional mode is obtained. The target functional mode can be any one of the various functional modes.

[0047] Taking the equipment mechanism formula as an example, computer equipment can construct an energy consumption calculation model based on historical operating data and historical system energy consumption under the target functional mode. In this case, the energy consumption calculation model can be an energy consumption calculation formula obtained by fitting historical operating data and historical system energy consumption. Schematic, the energy consumption calculation formula for each functional module can be expressed as follows: Energy consumption calculation formula for plate heat exchanger mode:

[0048] Energy consumption calculation formula for precooling mode:

[0049] Energy consumption calculation formula for chilled mode:

[0050] Correspondingly, the lower column temperature calculation model can also be constructed based on historical operating parameters and historical lower column temperatures. This lower column temperature calculation model can be expressed as:

[0051] When calculating the system energy consumption of each candidate parameter combination in the corresponding functional mode, each candidate parameter combination can be input into the energy consumption calculation model of the corresponding functional mode to obtain the system energy consumption corresponding to each candidate parameter combination. Similarly, when calculating the lower column temperature of each candidate parameter combination, each candidate parameter combination can be input into the lower column temperature calculation model to obtain the lower column temperature corresponding to each candidate parameter combination. Based on the lower column temperature corresponding to each candidate parameter combination, it can be determined whether the lower column temperature range constraint is met. By comparing the system energy consumption of candidate parameter combinations that meet the lower column temperature range constraint, candidate parameter combinations that meet the optimization conditions can be selected.

[0052] Step 250: Determine the outdoor wet-bulb temperature in the candidate parameter combination that meets the optimization condition in the candidate parameter set as the mode switching point between the two functional modes corresponding to the optimization mode combination; the optimization condition is that the lower tower temperature is within the lower tower temperature range of the corresponding functional mode and the energy consumption is the lowest.

[0053] The lower column temperature range varies depending on the functional mode. For example, in plate heat exchanger mode, the lower column temperature range can be 9℃-10.5℃; in pre-cooling mode, it can be 11℃-18℃; and in chiller mode, it can be 16℃-33℃.

[0054] To illustrate, taking the candidate parameter combination corresponding to the optimization mode combination consisting of plate heat exchanger mode and precooling mode as an example, the system energy consumption is calculated using the energy consumption calculation models corresponding to the plate heat exchanger mode and the precooling mode respectively, and the lower column temperature of the candidate parameter combination is calculated using the lower column temperature model. If the lower column temperature of the candidate parameter combination is within the lower column temperature range of the plate heat exchanger mode, then the system energy consumption under the plate heat exchanger mode is taken as the system energy consumption of the candidate parameter combination. If the lower column temperature of the candidate parameter combination is within the lower column temperature range of the precooling mode, then the system energy consumption under the precooling mode is taken as the system energy consumption of the candidate parameter combination. If the lower tower temperature of a candidate parameter combination is neither within the lower tower temperature range of the plate heat exchanger mode nor within the lower tower temperature range of the precooling mode, then the candidate parameter combination is discarded. The process for determining the system energy consumption of the candidate parameters corresponding to the optimization mode combination composed of the precooling mode and the chiller mode is similar to the above process and will not be repeated here. After determining the system energy consumption of each candidate parameter combination in the above manner, the system energy consumption of each candidate parameter combination is sorted to obtain the candidate parameter combination that minimizes the system energy consumption. Thus, the outdoor wet-bulb temperature in the candidate parameter combination is determined as the mode switching point.

[0055] In one possible implementation, in order to reduce the amount of computation required for system energy consumption calculation, the computer equipment can first calculate the lower tower temperature of the candidate parameter combination, determine the corresponding functional mode based on the lower tower temperature range, and then perform system energy consumption calculation based on the energy consumption calculation model corresponding to the functional mode, thereby avoiding the loss of computing resources caused by system energy consumption calculation of multiple functional modes.

[0056] Step 260: When the outdoor wet-bulb temperature reaches the mode switching point, the function mode of the water cooling system is switched from the first function mode in the optimization mode combination to the second function mode.

[0057] Schematic illustration: If the mode switching point between plate heat exchanger mode and pre-cooling mode is determined to be the first outdoor wet-bulb temperature, when the computer device detects that the outdoor wet-bulb temperature has reached the first outdoor wet-bulb temperature, it switches the functional mode based on the current functional mode. That is, if the water cooling system is currently in plate heat exchanger mode, it instructs the water cooling system to switch from plate heat exchanger mode to pre-cooling mode; if the water cooling system is currently in pre-cooling mode, it instructs the water cooling system to switch from pre-cooling mode to plate heat exchanger mode. In another possible implementation, to avoid frequent switching between functional modes and the occurrence of critical point oscillation, the computer device can be set... There is a switching hysteresis, which uses the mode switching point as the threshold when switching in the sequence of system function modes, and uses the difference between the mode switching point and the switching hysteresis as the threshold when switching in the reverse sequence of system function modes. In this case, illustratively speaking, if the current water cooling system is in plate heat exchanger mode, when the outdoor wet-bulb temperature reaches the first outdoor wet-bulb temperature T, the water cooling system is instructed to switch from plate heat exchanger mode to pre-cooling mode; if the current water cooling system is in pre-cooling mode, when the outdoor wet-bulb temperature reaches T-ΔT, the water cooling system is instructed to switch from pre-cooling mode to plate heat exchanger mode, where ΔT is the preset switching hysteresis.

[0058] To avoid wasting computing resources due to meaningless calculations, when switching modes, if the outdoor wet-bulb temperature falls within the temperature range corresponding to each functional mode, the water cooling system will be switched to the corresponding functional mode. In other words, when the outdoor wet-bulb temperature is in the first temperature range, the water cooling system's functional mode will be set to the plate heat exchanger mode. When the outdoor wet-bulb temperature is in the second temperature range, the function mode of the water cooling system is set to pre-cooling mode. When the outdoor wet-bulb temperature is in the third temperature range, the function mode of the water cooling system is set to chiller mode. Among them, the maximum value of the first temperature range is less than the minimum value of the second temperature range, and the maximum value of the second temperature range is less than the minimum value of the third temperature range.

[0059] Indicative, Figure 3 This application illustrates a schematic diagram of the functional mode switching of a water-cooling system provided in an exemplary embodiment, such as... Figure 3As shown, the first temperature range can be <7℃. When the outdoor wet-bulb temperature is <7℃, the water cooling system's functional mode is indicated as plate heat exchanger mode. The second temperature range can be 9℃-13℃. When the outdoor wet-bulb temperature is within the 9℃-13℃ range, the water cooling system's functional mode is indicated as pre-cooling mode. The third temperature range can be >15℃. When the outdoor wet-bulb temperature is >15℃, the water cooling system's functional mode is indicated as chiller mode, thus avoiding wasted computing resources. When the outdoor wet-bulb temperature is within the 7℃-9℃ range, the mode switching point between plate heat exchanger mode and pre-cooling mode is optimized, and the functional mode is switched. When the outdoor wet-bulb temperature is within the 13℃-15℃ range, the mode switching point between pre-cooling mode and chiller mode is optimized, and the functional mode is switched. It should be noted that the temperature range divisions corresponding to the above functional modes are only illustrative and can be set differently based on different actual needs. This application does not impose any restrictions on this.

[0060] In summary, the mode switching method for a water-cooled system provided in this application monitors the outdoor wet-bulb temperature in real time, determines an optimal mode combination based on the temperature range of the outdoor wet-bulb temperature, and optimizes the system's total energy consumption within the safety parameter range corresponding to the optimal mode combination, with the goal of minimizing total energy consumption. Parameter optimization is performed within the outdoor wet-bulb temperature optimization range corresponding to the optimal mode combination to obtain the mode switching point between the two functional modes corresponding to the optimal mode combination. When the outdoor wet-bulb temperature reaches the mode switching point, the water-cooled system's functional mode is switched from the first functional mode to the second functional mode. Based on a dynamically optimized mode switching strategy, the intelligence of functional mode switching in the water-cooled system can be improved, and the energy efficiency of the water-cooled system can be enhanced. Compared with the traditional fixed threshold switching method, the method provided in this application establishes an outdoor wet-bulb temperature optimization range between adjacent functional modes, performs intelligent optimization with the goal of minimizing system energy consumption, fully considers the dynamic changes of environmental parameters and system operating characteristics, and can adaptively determine the optimal mode switching point. Thus, while ensuring the safe operation of the system, efficient and smooth switching between different functional modes is achieved, thereby effectively reducing the overall energy consumption of the water-cooled system.

[0061] In addition, when the outdoor wet-bulb temperature falls within the wet-bulb range corresponding to each functional mode, the process of finding the mode switching point is performed without any further action, instructing the water cooling system to set the corresponding functional mode in order to reduce the waste of computing resources caused by meaningless calculations.

[0062] Figure 4 This application shows a block diagram of a mode switching device for a water-cooling system provided in an exemplary embodiment. The device can perform functions such as... Figure 1 or Figure 2 All or part of the steps in the illustrated embodiments, such as Figure 4As shown, the device may include the following modules.

[0063] Temperature acquisition module 410 is used to acquire outdoor wet-bulb temperature in real time; The combination determination module 420 is used to determine the optimal mode combination based on the temperature range in which the outdoor wet-bulb temperature is located. The optimization module 430 is used to optimize parameters within the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination, with the goal of minimizing the total energy consumption of the system, under the constraint of the safety parameter range corresponding to the optimization mode combination, and to obtain the mode switching point between the two functional modes corresponding to the optimization mode combination. The mode switching module 440 is used to instruct the water cooling system to switch from the first functional mode in the optimization mode combination to the second functional mode when the outdoor wet-bulb temperature reaches the mode switching point.

[0064] In one possible implementation, the safety parameter range includes the equipment control parameter range and the lower tower temperature range corresponding to each functional mode; The optimization module 430 includes: The set generation submodule is used to generate a set of candidate parameters based on the range of the device control parameters and the outdoor wet-bulb temperature optimization range corresponding to the combination of optimization modes. The calculation submodule is used to calculate the system energy consumption and lower tower temperature of each candidate parameter combination in the candidate parameter set under the two functional modes. The optimization submodule is used to determine the outdoor wet-bulb temperature in the candidate parameter combination that meets the optimization condition in the candidate parameter set as the mode switching point between the two functional modes corresponding to the optimization mode combination; the optimization condition is that the lower tower temperature is within the lower tower temperature range of the corresponding functional mode and the energy consumption is the lowest.

[0065] In one possible implementation, the set generation submodule is used to traverse each parameter within the range of the device control parameters and each parameter within the range of the outdoor wet-bulb temperature optimization corresponding to the optimization mode combination, perform a data explosion operation, and generate the candidate parameter set.

[0066] In one possible implementation, different functional modes correspond to different energy consumption calculation models; The calculation submodule is used to calculate the system energy consumption of each candidate parameter combination through the energy consumption calculation model corresponding to each of the two functional modes. The lower column temperature is calculated using a lower column temperature calculation model for each candidate parameter combination.

[0067] In one possible implementation, the device further includes: The data acquisition module is used to acquire historical operating data of the water cooling system under various functional modes; The model building module is used to build models based on historical operating parameters and historical system energy consumption in the historical operating data corresponding to each functional mode, so as to obtain the energy consumption calculation model corresponding to each functional mode.

[0068] In one possible implementation, the functional modes include plate heat exchange mode, pre-cooling mode, and chiller mode; The mode switching module 440 is also used for, When the outdoor wet-bulb temperature is in the first temperature range, the function mode of the water cooling system is set to plate heat exchange mode. When the outdoor wet-bulb temperature is in the second temperature range, the function mode of the water cooling system is set to pre-cooling mode. When the outdoor wet-bulb temperature is in the third temperature range, the function mode of the water cooling system is set to chiller mode. The maximum value of the first temperature range is less than the minimum value of the second temperature range, and the maximum value of the second temperature range is less than the minimum value of the third temperature range.

[0069] Figure 5 This diagram illustrates a structural block diagram of a computer device 500 according to an exemplary embodiment of this application. This computer device can be implemented as the loss measurement device described above in this application. The computer device 500 includes a Central Processing Unit (CPU) 501, a system memory 504 including Random Access Memory (RAM) 502 and Read-Only Memory (ROM) 503, and a system bus 505 connecting the system memory 504 and the CPU 501. The computer device 500 also includes a mass storage device 506 for storing an operating system 509, application programs 510, and other program modules 511. The system memory 504 and the mass storage device 506 can be collectively referred to as memory.

[0070] According to various embodiments of this application, the computer device 500 can also be connected to a remote computer on a network, such as the Internet. That is, the computer device 500 can be connected to a network 508 via a network interface unit 507 connected to the system bus 505, or the network interface unit 507 can be used to connect to other types of networks or remote computer systems (not shown).

[0071] The memory further includes at least one instruction, at least one program, code set, or instruction set, which are stored in the memory. The central processing unit 501 executes the at least one instruction, at least one program, code set, or instruction set to implement all or part of the steps in the mode switching method of the water cooling system shown in the above embodiments.

[0072] Figure 6 A structural block diagram of a computer device 600 illustrating another exemplary embodiment of this application is shown. The computer device 600 can be implemented as the aforementioned central node. For example, the computer device can be an Android terminal device; typically, the computer device 600 includes a processor 601 and a memory 602. The memory 602 may include one or more computer-readable storage media for storing at least one instruction, which is executed by the processor 601 to implement all or part of the steps in the mode switching method of the water-cooling system shown in the method embodiment of this application.

[0073] In some embodiments, the computer device 600 may optionally include a peripheral device interface 603 and at least one peripheral device. The processor 601, memory 602, and peripheral device interface 603 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes at least one of the following: a radio frequency circuit 604, a display screen 605, a camera assembly 606, an audio circuit 607, and a power supply 608. In some embodiments, the computer device 600 also includes one or more sensors 609. These sensors 609 include, but are not limited to, an accelerometer 610, a gyroscope 611, a pressure sensor 612, an optical sensor 613, and a proximity sensor 614. Those skilled in the art will understand that... Figure 6 The structure shown does not constitute a limitation on the computer device 600, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0074] In one exemplary embodiment, a computer-readable storage medium is also provided, which stores at least one computer program that is loaded and executed by a processor to implement all or part of the steps in the mode switching method of the water-cooling system described above. For example, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, or optical data storage device, etc.

[0075] In one exemplary embodiment, a computer program product is also provided, the computer program product including a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions that, when executed by a computer, cause the computer to perform the above-described actions. Figure 1 or Figure 2 All or part of the steps of the embodiments shown in any of the embodiments.

[0076] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the claims.

[0077] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A mode switching method for a water-cooling system, characterized in that, The method includes: Real-time acquisition of outdoor wet-bulb temperature; The optimal mode combination is determined based on the temperature range of the outdoor wet-bulb temperature; the two functional modes in the optimal mode combination are adjacent in the system functional mode sequence. Under the constraints of the safety parameter range corresponding to the optimization mode combination, with the goal of minimizing the total system energy consumption, parameter optimization is performed within the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination to obtain the mode switching point between the two functional modes corresponding to the optimization mode combination. When the outdoor wet-bulb temperature reaches the mode switching point, the function mode of the water cooling system is switched from the first function mode in the optimization mode combination to the second function mode.

2. The method according to claim 1, characterized in that, The safety parameter range includes the equipment control parameter range and the lower tower temperature range corresponding to each functional mode. Under the constraints of the safety parameter range corresponding to the optimization mode combination, with the goal of minimizing the total system energy consumption, parameter optimization is performed within the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination to obtain the mode switching point between the two functional modes corresponding to the optimization mode combination, including: Based on the range of the device control parameters and the outdoor wet-bulb temperature optimization range corresponding to the combination of optimization modes, a set of candidate parameters is generated. Calculate the system energy consumption and lower tower temperature for each candidate parameter combination in the candidate parameter set under the two functional modes; The outdoor wet-bulb temperature in the candidate parameter combination that meets the optimization condition in the candidate parameter set is determined as the mode switching point between the two functional modes corresponding to the optimization mode combination; the optimization condition is that the lower tower temperature is within the lower tower temperature range of the corresponding functional mode and the energy consumption is the lowest.

3. The method according to claim 2, characterized in that, The process of generating a candidate parameter set based on the range of device control parameters and the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination includes: The data explosion operation is performed to generate the candidate parameter set by traversing all parameters within the range of the device control parameters and all parameters within the range of the outdoor wet-bulb temperature optimization corresponding to the optimization mode combination.

4. The method according to claim 2, characterized in that, Different functional modes correspond to different energy consumption calculation models; The calculation of the system energy consumption and lower column temperature for each candidate parameter combination in the candidate parameter set under the two functional modes includes: The system energy consumption of each candidate parameter combination is calculated using the energy consumption calculation models corresponding to the two functional modes. The lower column temperature is calculated using a lower column temperature calculation model for each candidate parameter combination.

5. The method according to claim 4, characterized in that, The method further includes: Acquire historical operating data of the water cooling system under various functional modes; Based on the historical operating parameters and historical system energy consumption in the historical operating data corresponding to each functional mode, a model is constructed to obtain the energy consumption calculation model corresponding to each functional mode.

6. The method according to claim 1, characterized in that, The functional modes include plate heat exchanger mode, pre-cooling mode, and chiller mode; the method further includes: When the outdoor wet-bulb temperature is in the first temperature range, the function mode of the water cooling system is set to plate heat exchange mode. When the outdoor wet-bulb temperature is in the second temperature range, the function mode of the water cooling system is set to pre-cooling mode. When the outdoor wet-bulb temperature is in the third temperature range, the function mode of the water cooling system is set to chiller mode. Wherein, the maximum value of the first temperature range is less than the minimum value of the second temperature range, and the maximum value of the second temperature range is less than the minimum value of the third temperature range.

7. A mode switching device for a water cooling system, characterized in that, The device includes: Temperature acquisition module, used to acquire outdoor wet-bulb temperature in real time; The combination determination module is used to determine the optimal combination of modes based on the temperature range in which the outdoor wet-bulb temperature is located. The optimization module is used to optimize parameters within the outdoor wet-bulb temperature optimization range corresponding to the optimization mode combination, with the goal of minimizing the total system energy consumption, under the constraint of the safety parameter range corresponding to the optimization mode combination, and to obtain the mode switching point between the two functional modes corresponding to the optimization mode combination. The mode switching module is used to instruct the water cooling system to switch from the first functional mode in the optimization mode combination to the second functional mode when the outdoor wet-bulb temperature reaches the mode switching point.

8. A computer device, characterized in that, The computer device includes a processor and a memory, the memory storing at least one computer program, which is loaded and executed by the processor to implement the mode switching method of the water cooling system as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one computer program, which is loaded and executed by a processor to implement the mode switching method of the water cooling system as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions that, when executed by a computer, cause the computer to perform the mode switching method for the water cooling system as described in any one of claims 1 to 6.

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