Control method and electronic device for a cooling liquid circulation system

Abstract

This application provides a control method and electronic device for a coolant circulation system, applicable to the field of liquid cooling system control technology. The control method includes: acquiring target performance parameters of the coolant; processing the target performance parameters using historical performance parameter variation trends to obtain predicted trends for antifreeze concentration, conductivity, and temperature; determining the predicted coolant replacement time based on the correlation between the target performance parameters, variation trends, and the remaining service life of the coolant; determining at least one target deviation from multiple candidate deviations of the target antifreeze concentration, target conductivity, and target temperature relative to corresponding preset reference values, based on the predicted replacement time; weighting the pump speed compensation parameters corresponding to the at least one target deviation to generate an adjustment command for the circulation pump speed; and executing the adjustment command to adjust the circulation pump speed.

Description

Technical Field

[0001] This application relates to the field of liquid cooling heat dissipation system control technology, specifically to a control method and electronic device for a coolant circulation system. Background Technology

[0002] Existing liquid cooling systems mostly employ passive control schemes based on fixed thresholds, making simple adjustments by monitoring coolant parameters. This approach cannot predict the trend of coolant performance degradation, and can only respond passively when performance declines, leading to reduced heat dissipation efficiency and decreased system reliability.

[0003] Meanwhile, the fixed threshold strategy cannot adaptively adjust operating parameters according to the coolant state, resulting in problems such as untimely maintenance and low energy efficiency. Therefore, a new scheme that can achieve adaptive control is urgently needed. Summary of the Invention

[0004] In view of the above problems, this application provides a control method and electronic equipment for a coolant circulation system to improve the stability of the coolant circulation system and the service life of the coolant.

[0005] According to a first aspect of this application, a control method for a coolant circulation system is provided, comprising: acquiring target performance parameters of the coolant, the target performance parameters including target antifreeze concentration, target conductivity, and target temperature; processing the target performance parameters using historical performance parameter variation trends to obtain variation trends of predicted antifreeze concentration, predicted conductivity, and predicted temperature values; determining a predicted coolant replacement time based on the correlation between the target performance parameters, variation trends, and remaining coolant usage time; determining at least one target deviation from multiple candidate deviations of the target antifreeze concentration, target conductivity, and target temperature relative to corresponding preset reference values, based on the predicted replacement time; weighting a pump speed compensation parameter corresponding to the at least one target deviation to generate an adjustment command for the pump speed of the circulation pump; executing the adjustment command to adjust the pump speed of the circulation pump, wherein the pump speed compensation parameter is used to compensate for the pump speed adjustment required to compensate for the change in coolant heat transfer efficiency caused by the target deviation and is positively correlated with the corresponding target deviation.

[0006] A second aspect of this application provides a control device for a coolant circulation system, comprising: an acquisition module for acquiring target performance parameters of the coolant, including a target antifreeze concentration, a target conductivity, and a target temperature; a trend determination module for processing the target performance parameters using historical performance parameter change trends to obtain predicted trends for the antifreeze concentration, conductivity, and temperature; a replacement time determination module for determining a predicted replacement time of the coolant based on the correlation between the target performance parameters, their change trends, and the remaining service life of the coolant; a deviation determination module for determining at least one target deviation from multiple candidate deviations of the target antifreeze concentration, target conductivity, and target temperature relative to corresponding preset reference values, based on the predicted replacement time; and a command generation module for weighting pump speed compensation parameters corresponding to the at least one target deviation to generate a pump speed adjustment command for the circulation pump, executing the adjustment command to adjust the pump speed of the circulation pump, wherein the pump speed compensation parameters are used to compensate for the pump speed adjustment required to compensate for changes in coolant heat transfer efficiency caused by the target deviation, and are positively correlated with the corresponding target deviation.

[0007] A third aspect of this application provides an electronic device, a memory configured to store target performance parameters and historical performance parameters of a coolant, the target performance parameters including a target antifreeze concentration, a target conductivity, and a target temperature; and a processor connected to the memory, the processor configured to: process the target performance parameters using the changing trends of the historical performance parameters of the coolant to obtain the changing trends of the predicted values ​​of the antifreeze concentration, conductivity, and temperature; determine the predicted replacement time of the coolant based on the correlation between the target performance parameters, the changing trends, and the remaining service time of the coolant; determine at least one target deviation from multiple candidate deviations of the target antifreeze concentration, target conductivity, and target temperature relative to corresponding preset reference values, based on the predicted replacement time; perform weighted processing on the pump speed compensation parameters corresponding to the at least one target deviation to generate an adjustment command for the pump speed of the circulating pump; execute the adjustment command to adjust the pump speed of the circulating pump, the pump speed compensation parameters being used to compensate for the pump speed adjustment required due to the change in the heat transfer efficiency of the coolant caused by the target deviation, and being positively correlated with the corresponding target deviation.

[0008] A fourth aspect of this application also provides a computer-readable storage medium having a computer program or instructions stored thereon, which, when executed by a processor, implement the steps of the above-described method.

[0009] In this embodiment, the target performance parameters of the coolant include antifreeze concentration, conductivity, and temperature; the future trends of each parameter are predicted based on historical performance parameter trends; the predicted replacement time of the coolant is determined according to the target performance parameters and their trends; the target deviation is determined based on the predicted replacement time; and the pump speed compensation parameters corresponding to the target deviation are weighted to generate and execute the adjustment command for the circulating pump. Through predictive maintenance and adaptive pump speed adjustment, the impact of coolant performance degradation on heat transfer efficiency is effectively compensated, significantly improving the stability of the coolant circulation system and the service life of the coolant. Attached Figure Description

[0010] The above-mentioned contents, other objects, features and advantages of this application will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0011] Figure 1 This illustration schematically depicts an application scenario of a control method and electronic device for a coolant circulation system according to embodiments of this application.

[0012] Figure 2 A flowchart illustrating a control method for a coolant circulation system according to an embodiment of this application is shown schematically.

[0013] Figure 3 A flowchart illustrating the determination of predicted coolant replacement time according to an embodiment of this application is shown schematically.

[0014] Figure 4 A flowchart illustrating the determination of target deviation according to an embodiment of this application is shown schematically;

[0015] Figure 5 A flowchart illustrating an alarm in a coolant circulation system according to an embodiment of this application is shown schematically.

[0016] Figure 6 This schematic diagram illustrates the architecture of a coolant circulation system according to an embodiment of the present application;

[0017] Figure 7 This schematic diagram illustrates a structural block diagram of a control device for a coolant circulation system according to an embodiment of this application;

[0018] Figure 8 A block diagram schematically illustrates an electronic device suitable for implementing a control method for a coolant circulation system according to an embodiment of this application. Detailed Implementation

[0019] The embodiments of this application will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are merely examples and are not intended to limit the scope of this application. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of this application for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and technologies are omitted in the following description to avoid unnecessarily obscuring the concepts of this application.

[0020] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0021] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0022] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B and C, etc.).

[0023] Embodiments of this application provide a control method and electronic device for a coolant circulation system.

[0024] Figure 1 The illustration schematically depicts an application scenario of a control method and electronic device for a coolant circulation system according to embodiments of this application.

[0025] like Figure 1 As shown, the application scenario 100 according to this embodiment includes an interaction scenario between an intelligent cooling system and a circulation control device, specifically including a coolant circulation device 101, a network 102, and an intelligent cooling control platform 103. The network 102 is the communication medium between the coolant circulation device 101 and the intelligent cooling control platform 103. The network 102 can include various connection types, such as wired or wireless communication links or fiber optic cables.

[0026] In this application scenario, taking a high-performance server liquid cooling system in the data center field as an example, the coolant circulation device 101 is an execution system used to control core components such as the circulation pump, temperature sensor, conductivity sensor, and antifreeze concentration sensor.

[0027] During the operation of the cooling system, the intelligent cooling control platform 103 acquires the real-time performance parameters uploaded by the coolant circulation device 101 through the data acquisition interface, and performs prediction processing on the target performance parameters based on the changing trends of historical performance parameters to obtain the changing trends of the predicted values ​​of antifreeze concentration, conductivity, and temperature.

[0028] The coolant circulation device 101 adjusts the operating status of the circulation pump in real time based on the pump speed adjustment commands issued by the intelligent cooling control platform 103, thereby achieving precise control of the coolant flow rate. The intelligent cooling control platform 103 determines the predicted replacement time based on the correlation between performance parameters and remaining service life, selects target deviation parameters based on the prediction results, and generates optimized pump speed adjustment commands through weighted processing. These commands are used to intelligently regulate and optimize the heat transfer efficiency, system energy efficiency, and lifespan management of the coolant circulation device, thereby achieving energy efficiency optimization and predictive maintenance of the coolant circulation system while ensuring heat dissipation performance.

[0029] The following will be based on Figure 1 The described scene, through Figures 2-6 A control method for a coolant circulation system according to the disclosed embodiments will be described in detail.

[0030] Figure 2 A flowchart illustrating a control method for a coolant circulation system according to an embodiment of this application is shown.

[0031] like Figure 2 As shown, the control of the coolant circulation system in this embodiment includes operations S210 to S250.

[0032] In operation S210, the target performance parameters of the coolant are obtained.

[0033] In this embodiment, the target performance parameters include target antifreeze concentration, target conductivity, and target temperature. The obtained coolant refers to a dedicated heat transfer medium used in data center liquid cooling systems. The target antifreeze concentration refers to the proportion of antifreeze components in the coolant, which directly affects the coolant's thermal capacity characteristics.

[0034] The target conductivity reflects the ion content in the coolant and is used to assess the purity and corrosion risk of the coolant; the target temperature refers to the real-time temperature of the coolant during circulation and is a key indicator for measuring heat dissipation performance.

[0035] In operation S220, the target performance parameters are processed by utilizing the historical performance parameter variation trends of the coolant to obtain the variation trends of the antifreeze concentration, conductivity, and temperature prediction values.

[0036] In this embodiment, historical performance parameters refer to the sequence of antifreeze concentration, conductivity, and temperature data recorded for the coolant over a past time period. The trend is the direction and rate of parameter change derived from time-series analysis of the historical data.

[0037] The antifreeze concentration forecast is an estimate of the concentration level in the future based on historical consumption trends; the conductivity forecast reflects the estimated ion concentration state in the future; and the temperature forecast is an estimate of the coolant's operating temperature in the future.

[0038] In operation S230, the predicted replacement time of the coolant is determined based on the correlation between the target performance parameters, their changing trends, and the remaining service life of the coolant.

[0039] In the embodiments of this application, the correlation refers to the inherent relationship between the performance state of the coolant and its remaining usable time. The underlying logic for determining the predicted replacement time is as follows: analysis reveals that when the coolant's antifreeze concentration is lower, its conductivity is higher, its temperature is higher, and its performance parameters continue to deteriorate, the remaining service life of the coolant will be shorter.

[0040] By substituting the real-time acquired target performance parameters and remaining service life trends into the correlation, the predicted remaining service life of the coolant under current operating conditions can be calculated. Based on the predicted remaining service life and the current cumulative operating time of the coolant circulation system, the predicted replacement time can be determined.

[0041] In operation S240, based on the predicted replacement time, at least one target deviation is determined from multiple candidate deviations of the target antifreeze concentration, target conductivity, and target temperature relative to their respective preset reference values.

[0042] In the embodiments of this application, the antifreeze concentration deviation reflects the decay of the coolant's heat capacity characteristics, affecting the system's heat load capacity; the conductivity deviation indicates an increase in coolant ion contamination, predicting an increased risk of corrosion; and the temperature deviation reflects insufficient instantaneous heat dissipation capacity of the coolant circulation system.

[0043] The significance of target deviation lies in bridging predictive maintenance and real-time control. Based on the coolant's usable lifespan reflected in the predicted replacement time, the deviation parameters that need to be adjusted are selected. When the usable lifespan is sufficient, temperature deviation is prioritized to ensure heat dissipation efficiency; when the usable lifespan is insufficient, concentration and conductivity deviations are controlled to delay performance degradation.

[0044] In operation S250, the pump speed compensation parameters corresponding to at least one target deviation are weighted and processed to generate an adjustment command for the pump speed of the circulating pump. The adjustment command is then executed to adjust the pump speed of the circulating pump.

[0045] In this embodiment, the pump speed compensation parameter is used to compensate for the pump speed adjustment required to compensate for the change in coolant heat transfer efficiency caused by the target deviation, and is positively correlated with the corresponding target deviation. When the coolant performance parameters deviate from the preset benchmark value, the heat conduction characteristics of the coolant circulation system will be affected.

[0046] A positive deviation in temperature indicates insufficient immediate heat dissipation, requiring an increase in fluid velocity to enhance convective heat transfer; a positive deviation in conductivity reflects a decrease in coolant purity, necessitating increased flow velocity to suppress impurity deposition and localized corrosion; a negative deviation in antifreeze concentration alters heat capacity characteristics, requiring flow rate adjustment to compensate for heat transfer capacity. Increased deviations will correspondingly amplify the negative impact on heat transfer efficiency, thus requiring greater pump speed compensation.

[0047] In this embodiment, by acquiring performance parameters such as the target antifreeze concentration, target conductivity, and target temperature of the coolant, and combining them with historical data to predict trends, a quantitative correlation between performance parameters and remaining service life is established to determine the predicted replacement time. Based on the predicted replacement time, a target deviation is selected from multiple candidate deviations. Adjustment commands are generated by weighting the corresponding pump speed compensation parameters, dynamically adjusting the circulation pump speed. This achieves accurate prediction of coolant life and adaptive intelligent control of the coolant circulation system, significantly improving heat dissipation efficiency and operational reliability, effectively extending equipment lifespan, and reducing maintenance costs.

[0048] The following provides a detailed description of the control procedures for the coolant circulation system, including operations S210 to S250.

[0049] In this embodiment of the application, the above operation 210 may further include: determining the target antifreeze concentration based on the first output voltage related to the antifreeze concentration in the coolant; determining the target conductivity based on the resistance value of the coolant; adjusting the second output voltage representing the coolant temperature using a preset temperature sensitivity coefficient corresponding to the temperature sensor; and obtaining the target temperature based on the adjusted voltage and the preset reference temperature value.

[0050] In this embodiment, the chemical concentration is converted into a first output voltage signal by an antifreeze concentration sensor; the resistance value of the coolant is measured by a conductivity sensor and converted into a conductivity parameter; the second output voltage of the temperature sensor is used to perform linear calibration in combination with a preset temperature sensitivity coefficient, and then superimposed with a reference temperature value to calculate and determine the target temperature.

[0051] For example, electrochemical methods can be used to monitor changes in the chemical composition of coolant, such as the concentration of additives like antifreeze and corrosion inhibitors. Taking antifreeze as an example, its concentration can be estimated using the following formula:

[0052]

[0053] in, is the concentration of antifreeze, E is the output voltage of the electrochemical sensor, and k is a constant related to the sensor characteristics.

[0054] Electrical conductivity can be calculated using the following formula:

[0055]

[0056] in, R is the electrical conductivity, and R is the resistance of the coolant.

[0057] The temperature of the coolant is monitored using a thermistor or thermocouple to help evaluate the coolant's thermal conductivity. Temperature T can be calculated using the following formula:

[0058]

[0059] in, is the output voltage of the temperature sensor, and k is the sensitivity of the temperature sensor. This is a reference temperature.

[0060] In this embodiment, by using multi-sensor fusion measurement, the antifreeze concentration voltage signal, the coolant resistance value, and the temperature voltage signal are converted into corresponding performance parameters, thereby achieving accurate acquisition of multi-dimensional performance parameters and providing a reliable data foundation for the control of the coolant circulation system.

[0061] In this embodiment of the application, the above operation 220 may further include: taking the time of obtaining the target performance parameter as the time end point, extracting historical data for a preset time period from the historical performance parameters, and constructing a parameter sequence corresponding to the target antifreeze concentration, target conductivity, and target temperature; using multiple parameter sequences as multiple parameter prediction value sequences, the parameter prediction value sequence including the predicted value of antifreeze concentration, the predicted value of conductivity, and the predicted value of temperature; calculating the average rate of change of each predicted value in the multiple parameter prediction value sequences within the preset time period, the average rate of change representing the average change of parameters within the preset time period.

[0062] In this embodiment, using the current acquisition time as a reference point, continuous monitoring data within a preset time window is extracted from the historical database to construct time-series data sequences for antifreeze concentration, conductivity, and temperature. These multiple time-series data sequences are used as the basis for predictive analysis. By calculating the difference between the first and last values ​​of each parameter within a preset time period and then dividing by the time interval, the average change per unit time is obtained. The average rate of change quantifies the speed and direction of parameter change during the observation period, where the positive or negative sign indicates the direction of change, and the absolute value reflects the intensity of change, providing accurate trend characteristic input for subsequent lifetime prediction.

[0063] In this embodiment, a time-series data sequence is constructed based on historical performance parameters. By calculating the average rate of change of antifreeze concentration, conductivity and temperature prediction values ​​within a preset time period, the evolution trend and intensity of change of each performance parameter are quantitatively characterized. This enables the capture and trend prediction of the coolant performance index decay law, providing reliable data support and decision-making basis for life assessment and predictive maintenance.

[0064] Figure 3 A flowchart illustrating the determination of the predicted coolant replacement time according to an embodiment of this application is shown schematically.

[0065] like Figure 3 As shown, the above operation S230 may also include operations S301 to S303.

[0066] In operation S301, based on the correlation between the target performance parameters, the trend of change and the remaining service time of the coolant, the corresponding time contribution coefficient is determined. The time contribution coefficient represents the degree of influence of the target performance parameters and the trend of change of the coolant on the remaining service time of the coolant.

[0067] In this embodiment, the trend of change includes at least the average rate of change of the predicted temperature, predicted antifreeze concentration, and predicted conductivity over a preset time period. The time contribution coefficient is a weighted index that quantifies the impact of each parameter on the coolant lifespan. Specifically, the trend of change is reflected in the average rate of change of temperature, antifreeze concentration, and conductivity over a preset time period. The logic for determining the time contribution coefficient is as follows: antifreeze concentration uses a positive contribution coefficient because a higher antifreeze concentration is more conducive to maintaining cooling performance; while target conductivity, target temperature, and their rate of change all use negative contribution coefficients because an increase in the aforementioned target conductivity and target temperature will accelerate the degradation of coolant performance. By weighted fusion of the current parameter values ​​and the trend of change, the comprehensive impact of the current parameter values ​​and the trend of change on the remaining service life can be accurately assessed.

[0068] In operation S302, the average rate of change of the target performance parameters, predicted temperature, predicted antifreeze concentration, and predicted conductivity over a preset time period is weighted and summed using the time contribution coefficient to determine the predicted remaining service time of the coolant.

[0069] In this embodiment, the predicted remaining service life of the coolant is calculated by multiplying multiple feature quantities, such as the target antifreeze concentration, target conductivity, target temperature current parameter values, and their corresponding average rate of change, by time contribution coefficients obtained through training with historical data, summing them, and then superimposing a baseline life constant. This calculation process establishes a quantitative mapping relationship from multi-dimensional performance parameters to remaining service life.

[0070] In operation S303, the predicted coolant replacement time is obtained based on the continuous operating time of the coolant circulation system and the predicted remaining usage time.

[0071] In this embodiment of the application, the cumulative running time of the coolant circulation system after startup is added to the predicted remaining usage time. The sum is the predicted replacement time point of the coolant, and the predicted replacement time point represents the specific moment when the replacement operation needs to be carried out.

[0072] In this embodiment, by establishing a quantitative relationship between performance parameters and their changing trends and remaining service time, the remaining lifespan is predicted by weighted fusion calculation of each parameter using the time contribution coefficient, and then the replacement time point is determined by combining the running time of the coolant circulation system. This achieves accurate quantitative prediction of the remaining lifespan of the coolant, providing precise time basis for predictive maintenance and effectively avoiding premature or delayed replacement.

[0073] The above operation S301 may further include selecting a target weight parameter set that matches the target performance parameter and the trend of change from multiple sets of weight parameters. Each weight parameter in the target weight parameter set is then used as the time contribution coefficient of the corresponding parameter in the target performance parameter and the trend of change.

[0074] In this embodiment, each weight parameter is obtained by supervised learning training on historical operating data. The training objective is to minimize the error between the predicted remaining usage time and the actual remaining usage time. Based on the current performance parameters of the coolant, a matching target set is selected from a set of preset weight parameters. The weight parameters in the target set corresponding to antifreeze concentration, conductivity, temperature and the rate of change of antifreeze concentration, conductivity and temperature are used as time contribution coefficients.

[0075] For example, based on historical operating data, the algorithm can use regression analysis or machine learning methods to build a coolant performance degradation model. The coolant performance degradation model comprehensively considers current sensor readings and their historical trends; its core calculation formula is as follows:

[0076]

[0077] in, This indicates the predicted coolant replacement time. This indicates the system's current cumulative running hours. The remaining service life of the coolant, as predicted by the model, is derived from the following multiple regression model:

[0078]

[0079] in, , , , , , These represent the model coefficients obtained through supervised learning regression algorithm training; Indicates the current antifreeze concentration; Indicates the current conductivity; Indicates the recent average temperature; Indicates the slope of the change in antifreeze concentration; This represents the slope of the change in conductivity.

[0080] The coolant performance degradation model analyzes historical operating data to dynamically predict coolant performance degradation and outputs accurate predicted replacement times. This provides a core basis for decision-making in order to achieve predictive maintenance.

[0081] In this embodiment, matching weight parameters are selected from the weight set as time contribution coefficients to establish a quantitative mapping relationship between performance parameters and remaining lifetime. The weight parameters are optimized based on historical data through supervised learning, thereby achieving adaptive optimization of the lifetime prediction model, improving prediction accuracy and system adaptability, and ensuring the accuracy of replacement time prediction.

[0082] Figure 4 A flowchart illustrating the determination of target deviation according to an embodiment of this application is shown schematically.

[0083] like Figure 4 As shown, the above operation S240 may also include operations S401 to S402.

[0084] In operation S401, if the predicted replacement time is greater than or equal to a preset time threshold, the difference between the target conductivity and the conductivity reference value, and the difference between the target antifreeze concentration and the antifreeze concentration reference value are determined as target deviations.

[0085] In operation S402, if the predicted replacement time is less than a preset time threshold, the difference between the preset temperature reference value and the target temperature is determined as the target deviation.

[0086] In this embodiment, a control strategy is selected based on the comparison between the predicted replacement time and the preset time threshold. When the predicted replacement time is sufficient, i.e., the predicted replacement time is greater than or equal to the preset time threshold, the coolant circulation system enters the life priority mode, and the positive deviation of conductivity and the negative deviation of antifreeze concentration are determined as target deviations. By adjusting these two parameters, the performance degradation of the coolant is delayed. When the predicted replacement time is insufficient, i.e., the predicted replacement time is less than the threshold, the coolant circulation system switches to the performance priority mode, and the positive deviation of temperature is used as the target deviation to prioritize the heat dissipation efficiency of the system.

[0087] In this embodiment, the control mode is intelligently selected based on the predicted replacement time. When the lifespan is sufficient, the conductivity and antifreeze concentration deviation are preferentially adjusted to extend the lifespan. When the lifespan is insufficient, the temperature deviation is preferentially adjusted to ensure heat dissipation performance. This achieves the optimal control strategy for different life stages of the coolant, taking into account both the long-term reliability of the system and the short-term heat dissipation efficiency, thereby improving the overall operating efficiency.

[0088] In this embodiment, when at least one target deviation is the difference between a preset temperature reference value and a target temperature, the at least one target deviation is mapped to a first pump speed compensation parameter. The first pump speed compensation parameter represents a first pump speed increment, which is used to offset the additional fluid flow required to offset the decrease in coolant heat transfer efficiency caused by the temperature rise. A first pump speed compensation value is obtained by multiplying the first pump speed compensation parameter by a preset pump speed adjustment coefficient, which is used to convert the proportional relationship of the compensation parameter into the actual speed change. Based on the first pump speed compensation value, an adjustment command for optimizing heat dissipation performance is generated.

[0089] In this embodiment, when a positive deviation is detected where the target temperature exceeds a preset benchmark value, the target temperature deviation is converted into a first pump speed compensation parameter through a linear mapping relationship. The first pump speed compensation parameter represents the theoretical pump speed increment corresponding to the increased coolant flow rate required to restore standard heat transfer efficiency. The first pump speed compensation parameter is multiplied by a preset pump speed adjustment coefficient, which is set according to the specific pump type characteristics and pipeline system resistance characteristics. This multiplication converts the theoretical compensation amount into an actual executable speed adjustment value, i.e., the first pump speed compensation value. Based on the first pump speed compensation value, an adjustment command with a specific speed value is generated, driving the circulating pump to increase its speed by a set increment. This enhances the coolant circulation flow rate to promptly compensate for the decrease in heat transfer efficiency caused by temperature rise, thereby achieving rapid response and precise optimization of heat dissipation performance.

[0090] For example, assuming a preset temperature reference value and a target temperature, and based on the difference between the preset temperature reference value and the target temperature, the first pump speed compensation parameter corresponding to the temperature difference is queried. The specific correspondence is shown in Table 1:

[0091] Table 1

[0092]

[0093] In this embodiment, the temperature deviation is mapped to the pump speed compensation parameter, which is converted into the actual speed compensation value through a proportional coefficient. An adjustment command is generated to increase the coolant flow rate, compensate for the heat transfer efficiency loss, and achieve rapid and accurate control of heat dissipation performance. This ensures that the system maintains stable operation under high temperature conditions and effectively improves heat dissipation efficiency and system reliability.

[0094] In this embodiment, when at least one target deviation is the difference between the target antifreeze concentration and the antifreeze concentration reference value, and the difference between the target conductivity and the conductivity reference value, the difference between the target antifreeze concentration and the antifreeze concentration reference value is mapped to a second pump speed compensation parameter, and the difference between the target conductivity and the conductivity reference value is mapped to a third pump speed compensation parameter. The second pump speed compensation parameter represents a second pump speed increment, which is used to compensate for the sustained fluid flow required to offset the increase in coolant freezing point and decrease in heat capacity caused by the decrease in antifreeze concentration. The third pump speed compensation parameter represents a third pump speed increment, which is used to offset the fluid flow required to offset the increase in ion concentration and increased corrosion risk caused by the increase in conductivity. The second pump speed compensation parameter and the third pump speed compensation parameter are converted according to multiple preset pump speed adjustment coefficients to obtain a second pump speed compensation value. Based on the second pump speed compensation value, an adjustment command for limiting the pump speed within a preset safety range is generated.

[0095] In this embodiment, when a combined deviation of antifreeze concentration below a reference value and conductivity above a reference value is simultaneously detected, the negative deviation of antifreeze concentration is converted into a second pump speed compensation parameter through a preset mapping relationship. This second pump speed compensation parameter represents the pump speed increment corresponding to the basic fluid flow rate required to maintain system thermal stability. Simultaneously, the positive deviation of conductivity is converted into a third pump speed compensation parameter, representing the pump speed increment corresponding to the safe fluid flow rate required to suppress corrosion risk. The second and third pump speed compensation parameters are multiplied by their corresponding pump speed adjustment coefficients, where the antifreeze concentration compensation coefficient is set based on heat capacity characteristics and the conductivity compensation coefficient is set based on corrosion prevention requirements. The two compensation components are then superimposed to obtain the second pump speed compensation value. An adjustment command is generated based on the second pump speed compensation value to limit the circulating pump speed within a preset safe operating range. This ensures necessary coolant circulation while preventing accelerated system aging due to excessive flow rate, achieving a balance between safe operation and lifespan protection.

[0096] For example, based on the difference between the target antifreeze concentration and the baseline antifreeze concentration, the second pump speed compensation parameter corresponding to the temperature difference is queried, and based on the difference between the target conductivity and the baseline conductivity, the corresponding third pump speed compensation parameter is queried. The specific correspondences are shown in Tables 2 and 3:

[0097] Table 2

[0098]

[0099] Table 3

[0100]

[0101] In this embodiment, the antifreeze concentration deviation and conductivity deviation are mapped to the corresponding pump speed compensation parameters, respectively. The compensation value is obtained by superimposing the parameters after conversion through adjustment coefficients, and an adjustment command is generated to limit the pump speed within a safe range. By coordinating and controlling key performance parameters, the coolant performance degradation is delayed while ensuring the safe operation of the system, effectively extending the service life and preventing corrosion risks.

[0102] In this embodiment, when the predicted replacement time is found to be an invalid update time, a third pump speed compensation value is determined based on the difference between the target antifreeze concentration and the antifreeze concentration reference value, the difference between the target conductivity and the conductivity reference value, and the difference between the preset temperature reference value and the target temperature; an adjustment command is generated based on the third pump speed compensation value.

[0103] For example, multiply the difference between the target antifreeze concentration and the antifreeze concentration benchmark, the difference between the target conductivity and the conductivity benchmark, and the difference between the preset temperature benchmark and the target temperature by the corresponding adjustment coefficients, and add the base number of pumps. The third pump speed compensation value can be obtained using the following formula. :

[0104]

[0105] in, , , To adjust the coefficient, and This is the baseline value for coolant under normal conditions. The desired operating temperature of the coolant to achieve optimal heat dissipation.

[0106] The following combination Figure 5 The alarm process of the coolant circulation system is described, along with specific embodiments.

[0107] In this embodiment of the application, an alarm signal is generated when the target antifreeze concentration is lower than the antifreeze concentration threshold, or the target conductivity is higher than the conductivity threshold, or the target temperature is higher than the temperature threshold. The alarm signal is used to prompt the replacement of the coolant.

[0108] For example, when the antifreeze concentration is detected to be below x%, the conductivity exceeds y μS / cm, or the temperature remains above z℃, the coolant circulation system immediately generates a three-level alarm signal, reminding maintenance personnel to replace the coolant through audible and visual prompts and remote notifications. Here, x, y, and z are the preset alarm thresholds for antifreeze concentration, conductivity, and temperature, respectively, and the specific values ​​can be configured according to the type of coolant and the operating conditions of the equipment.

[0109] Figure 5 A flowchart illustrating an alarm in a coolant circulation system according to an embodiment of this application is shown.

[0110] In the embodiments of this application, such as Figure 5 As shown, the system collects data via sensors, continuously acquiring real-time data on the coolant's antifreeze concentration, conductivity, and temperature. Data processing is then performed, comparing these parameters with preset safety thresholds to complete a performance evaluation. If any parameter is found to be abnormal—for example, the target antifreeze concentration is below the threshold, the target conductivity is above the threshold, or the target temperature is above the threshold—the system immediately triggers an alarm. The alarm signal is transmitted via a local audible and visual alarm, a display screen, and is uploaded to the central monitoring system and a mobile application via a communication module, thus providing the user with a clear reminder to replace the coolant. After the reminder is issued, the system continues to monitor various parameters to ensure continuous tracking of the system status until the alarm conditions are cleared or maintenance is completed.

[0111] In this embodiment, when any key performance parameter exceeds the safety threshold, an alarm signal for replacing the coolant is immediately generated, providing timely and effective maintenance warnings, avoiding system failures caused by coolant failure, and ensuring the safe operation of the equipment.

[0112] The following combination Figure 6 The architecture of the coolant circulation system is described, along with specific embodiments.

[0113] Figure 6 A schematic diagram of the architecture of a coolant circulation system according to an embodiment of this application is shown.

[0114] In the embodiments of this application, such as Figure 6As shown, the coolant circulation system uses the coolant distribution unit control board as its core processing hub. This control board integrates a temperature sensor for real-time coolant temperature monitoring, a communication module for data transmission and reception, an alarm module for generating abnormal warnings, and a power supply module for powering all components. Externally connected to the coolant circulation system are purity and chemical sensors for monitoring the coolant's chemical composition. These sensors collect signals related to antifreeze concentration and conductivity, respectively. The coolant circulation system also integrates a central monitoring system, a mobile application, an audible and visual alarm, and a display screen.

[0115] During the operation of the coolant circulation system, the coolant distribution unit control board acquires the target performance parameters of the coolant through built-in and external sensors, and predicts its changing trend based on historical data, thereby determining the predicted coolant replacement time. According to the predicted replacement time, the coolant distribution unit control board generates corresponding pump speed adjustment commands to compensate for the heat transfer efficiency fluctuations caused by changes in coolant performance by changing the rotation speed of the circulation pump. When any critical parameter exceeds the safety threshold, the alarm module triggers an audible and visual alarm for on-site warning. At the same time, relevant information is uploaded to the central monitoring system via the communication module and pushed to the mobile application. The display screen is used to locally display all key data and system status, thereby realizing comprehensive intelligent monitoring and proactive control of the coolant circulation system.

[0116] Based on the above-described control method for a coolant circulation system, this application also provides a control device for a coolant circulation system. The following will be combined with... Figure 7 The device is described in detail.

[0117] Figure 7 A schematic block diagram of a control device for a coolant circulation system according to an embodiment of this application is shown.

[0118] like Figure 7 As shown, the control device 700 for the coolant circulation system in this embodiment includes an acquisition module 710, a trend determination module 720, a replacement time determination module 730, a deviation determination module 740, and a command generation module 750.

[0119] The acquisition module 710 is used to acquire the target performance parameters of the coolant, including the target antifreeze concentration, target conductivity, and target temperature. In one embodiment, the acquisition module 710 can be used to perform the operation S210 described above, which will not be repeated here.

[0120] The trend determination module 720 is used to process the target performance parameters using the historical performance parameter variation trends of the coolant, to obtain the variation trends of the predicted values ​​of antifreeze concentration, conductivity, and temperature. In one embodiment, the trend determination module 720 can be used to perform the operation S220 described above, which will not be repeated here.

[0121] The replacement time determination module 730 is used to determine the predicted replacement time of the coolant based on the correlation between the target performance parameters, their changing trends, and the remaining service life of the coolant. In one embodiment, the replacement time determination module 730 can be used to perform the operation S230 described above, which will not be repeated here.

[0122] The deviation determination module 740 is used to determine at least one target deviation from multiple candidate deviations of the target antifreeze concentration, target conductivity, and target temperature relative to corresponding preset reference values, based on the predicted replacement time. In one embodiment, the deviation determination module 740 can be used to perform the operation S240 described above, which will not be repeated here.

[0123] The instruction generation module 750 is used to perform weighted processing on pump speed compensation parameters corresponding to at least one target deviation, generate an adjustment instruction for the pump speed of the circulating pump, and execute the adjustment instruction to adjust the pump speed of the circulating pump. The pump speed compensation parameters are used to compensate for the pump speed adjustment required to compensate for the change in coolant heat transfer efficiency caused by the target deviation, and are positively correlated with the corresponding target deviation. In one embodiment, the instruction generation module 750 can be used to perform the operation S250 described above, which will not be repeated here.

[0124] According to embodiments of this application, any multiple modules among the acquisition module 710, trend determination module 720, replacement time determination module 730, deviation determination module 740, and instruction generation module 750 can be combined into one module, or any one of these modules can be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules can be combined with at least part of the functionality of other modules and implemented in one module. According to embodiments of this application, at least one of the acquisition module 710, trend determination module 720, replacement time determination module 730, deviation determination module 740, and instruction generation module 750 can be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or implemented in hardware or firmware by any other reasonable means of integrating or packaging the circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, at least one of the acquisition module 710, trend determination module 720, replacement time determination module 730, deviation determination module 740, and instruction generation module 750 may be at least partially implemented as a computer program module, which can perform corresponding functions when the computer program module is run.

[0125] Figure 8 A block diagram schematically illustrates an electronic device suitable for implementing a control method for a coolant circulation system according to an embodiment of this application.

[0126] like Figure 8 As shown, an electronic device 800 according to an embodiment of this application includes a processor 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage portion 808 into a random access memory (RAM) 803. The processor 801 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of this application.

[0127] RAM 803 stores various programs and data required for the operation of electronic device 800. Processor 801, ROM 802, and RAM 803 are interconnected via bus 804. Processor 801 executes various operations of the method flow according to embodiments of this application by executing programs in ROM 802 and / or RAM 803. It should be noted that programs may also be stored in one or more memories other than ROM 802 and RAM 803. Processor 801 may also execute various operations of the method flow according to embodiments of this application by executing programs stored in one or more memories.

[0128] According to embodiments of this application, the electronic device 800 may further include an input / output (I / O) interface 805, which is also connected to a bus 804. The electronic device 800 may also include one or more of the following components connected to the input / output (I / O) interface 805: an input section 806 including a keyboard, mouse, etc.; an output section 807 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 808 including a hard disk, etc.; and a communication section 809 including a network interface card such as a LAN card, modem, etc. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the input / output (I / O) interface 805 as needed. A removable medium 811, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 810 as needed so that computer programs read from it can be installed into the storage section 808 as needed.

[0129] This application also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of this application.

[0130] According to embodiments of this application, the computer-readable storage medium can be a non-volatile computer-readable storage medium, such as including but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this application, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to embodiments of this application, the computer-readable storage medium may include ROM 802 and / or RAM 803 and / or one or more memories other than ROM 802 and RAM 803 described above.

[0131] Embodiments of this application also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowchart. When the computer program product is run on a computer system, the program code is used to cause the computer system to implement the methods provided in the embodiments of this application.

[0132] When the computer program is executed by the processor 801, it performs the functions defined in the system / apparatus of this application embodiment. According to the embodiments of this application, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0133] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and may be downloaded and installed via the communication section 809, and / or installed from a removable medium 811. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0134] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 809, and / or installed from the removable medium 811. When the computer program is executed by the processor 801, it performs the functions defined in the system of this application embodiment. According to the embodiments of this application, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0135] According to embodiments of this application, program code for executing the computer programs provided in the embodiments of this application can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0136] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0137] Those skilled in the art will understand that the features described in the various embodiments of this application can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in this application. In particular, the features described in the various embodiments of this application can be combined and / or combined in various ways without departing from the spirit and teachings of this application. All such combinations and / or combinations fall within the scope of this application.

[0138] The embodiments of this application have been described above. However, these embodiments are merely illustrative and not intended to limit the scope of this application. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Without departing from the scope of this application, those skilled in the art can make various substitutions and modifications, all of which should fall within the scope of this application.

Claims

1. A control method for a coolant circulation system, the coolant circulation system comprising a circulation pump, characterized in that, The method includes: Obtain the target performance parameters of the coolant, including the target antifreeze concentration, target conductivity, and target temperature; The target performance parameters are processed using the historical performance parameters of the coolant to obtain the predicted values ​​of antifreeze concentration, conductivity, and temperature. Based on the correlation between the target performance parameters, their changing trends, and the remaining service life of the coolant, a corresponding time contribution coefficient is determined. The time contribution coefficient represents the degree of influence of the target performance parameters and their changing trends on the remaining service life of the coolant. The changing trends include at least the average rate of change of the predicted temperature, the predicted antifreeze concentration, and the predicted conductivity over a preset time period. Using the time contribution coefficient, the average rate of change of the target performance parameters, predicted temperature, predicted antifreeze concentration, and predicted conductivity over a preset time period is weighted and summed to determine the predicted remaining usage time of the coolant. The continuous operating time of the coolant circulation system is added to the predicted remaining usage time, and the sum is the predicted replacement time of the coolant. The predicted replacement time point represents the specific moment when the replacement operation needs to be carried out. If the predicted replacement time is less than the preset time threshold, the difference between the preset temperature reference value and the target temperature is determined as the target deviation. If the predicted replacement time is greater than or equal to a preset time threshold, the difference between the target conductivity and the conductivity reference value, and the difference between the target antifreeze concentration and the antifreeze concentration reference value, are determined as the target deviation. When the target deviation is the difference between the preset temperature reference value and the target temperature, the target deviation is mapped to the first pump speed compensation parameter through a preset linear mapping relationship; The first pump speed compensation parameter is multiplied by the preset pump speed adjustment coefficient to obtain the first pump speed compensation value. Based on the first pump speed compensation value, an adjustment command for optimizing heat dissipation performance is generated, and the adjustment command is executed to adjust the pump speed of the circulating pump. When the target deviation is the difference between the target antifreeze concentration and the antifreeze concentration reference value and the target conductivity and the conductivity reference value, the difference between the target antifreeze concentration and the antifreeze concentration reference value is mapped to a second pump speed compensation parameter, and the difference between the target conductivity and the conductivity reference value is mapped to a third pump speed compensation parameter. The second pump speed compensation parameter and the third pump speed compensation parameter are converted according to multiple preset pump speed adjustment coefficients to obtain the second pump speed compensation value; the preset pump speed adjustment coefficients are set according to the characteristics of the circulating pump and the pipeline system resistance characteristics of the coolant circulation system. Based on the second pump speed compensation value, the adjustment command is generated to limit the pump speed within a preset safety range.

2. The method according to claim 1, characterized in that, The target performance parameters for obtaining the coolant include: The target antifreeze concentration is determined based on a first output voltage related to the antifreeze concentration in the coolant; The target conductivity is determined based on the resistance value of the coolant; The second output voltage, representing the coolant temperature, is adjusted using a preset temperature sensitivity coefficient corresponding to the temperature sensor. The target temperature is then obtained based on the adjusted voltage and a preset reference temperature value.

3. The method according to claim 1, characterized in that, By processing the target performance parameters using the historical performance parameters of the coolant, the predicted values ​​of antifreeze concentration, conductivity, and temperature are obtained, including the following trends: Using the moment when the target performance parameter is obtained as the end point of the time series, historical data for a preset time period is extracted from the historical performance parameter to construct a parameter sequence corresponding to the target antifreeze concentration, target conductivity and target temperature; The multiple parameter sequences are used as multiple parameter prediction value sequences, which include antifreeze concentration prediction value, conductivity prediction value and temperature prediction value; Calculate the average rate of change of each predicted value in a sequence of predicted values ​​for multiple parameters within a preset time period. The average rate of change represents the average change of the parameters within the preset time period.

4. The method according to claim 1, characterized in that, Based on the correlation between the target performance parameters, their changing trends, and the remaining service life of the coolant, the corresponding time contribution coefficients are determined, including: Select a set of target weight parameters that matches the target performance parameter and its changing trend from multiple sets of weight parameters; Each weight parameter in the target weight parameter set is used as the time contribution coefficient of the target performance parameter and the corresponding parameter in the change trend; The weight parameters are obtained through supervised learning training on historical operating data, with the training objective being to minimize the error between the predicted remaining usage time and the actual remaining usage time.

5. The method according to claim 1, characterized in that, The first pump speed compensation parameter represents the first pump speed increment, which is used to offset the additional fluid flow required to offset the decrease in coolant heat transfer efficiency caused by temperature rise. The preset pump speed adjustment coefficient is used to convert the proportional relationship of the compensation parameter into the actual speed change. The pump speed compensation parameter is used to compensate for the pump speed adjustment required to compensate for the change in coolant heat transfer efficiency caused by the target deviation, and is positively correlated with the corresponding target deviation.

6. The method according to claim 1, characterized in that, The second pump speed compensation parameter represents the second pump speed increment, which is used to compensate for the sustained fluid flow required to compensate for the increase in the freezing point of the coolant and the decrease in heat capacity caused by the decrease in antifreeze concentration. The third pump speed compensation parameter represents the third pump speed increment, which is used to offset the fluid flow required to offset the increase in ion concentration and the increased risk of corrosion caused by the increase in conductivity.

7. The method according to claim 1, characterized in that, The method further includes: An alarm signal is generated when the target antifreeze concentration is lower than the antifreeze concentration threshold, the target conductivity is higher than the conductivity threshold, or the target temperature is higher than the temperature threshold. The alarm signal is used to prompt the replacement of the coolant.

8. An electronic device, characterized in that, include: At least one processor; as well as, A memory that is communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method according to any one of claims 1-7.

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