Intelligent control method and system for water-cooling heat dissipation plate

Abstract

The invention relates to the technical field of water-cooling heat dissipation plate process control, in particular to an intelligent control method and system for a water-cooling heat dissipation plate, and solves the problems that in the prior art, a liquid supply mode adopting constant flow or step adjustment is difficult to adapt to the dynamic working condition that the temperature distribution of the surface of the heat dissipation plate is not uniform; and therefore, the technical problem of insufficient local heat dissipation or low overall cooling energy efficiency can be solved. The method comprises the following steps: acquiring temperature data of a plurality of monitoring positions on the water-cooling heat dissipation plate; segmenting a flowing path of the water-cooling liquid in the water-cooling heat dissipation plate according to the temperature data of the plurality of monitoring positions, and determining path segmentation information; according to the temperature data of the multiple monitoring positions, whether the temperature distribution of the water-cooling heat dissipation plate meets a preset non-uniform condition or not is judged; if the non-uniform condition is met, pulse control parameters are determined according to the temperature data and path segmentation information of the multiple monitoring positions; and a control instruction is generated according to the pulse control parameters, and pulse type adjustment is conducted on the water cooling liquid flow.

Description

Technical Field

[0001] This invention relates to the field of process control technology for water-cooled heat sinks, and specifically to an intelligent control method and system for water-cooled heat sinks. Background Technology

[0002] In the thermal management of high-power electronic devices, industrial equipment, and energy systems, water-cooled heat sinks are core components. They guide the flow of cooling medium through internal channels to remove heat and are widely used in server cooling, power electronic module cooling, and other fields. As the integration and power density of equipment continue to increase, water-cooled heat sinks are gradually developing towards multi-channel, miniaturized, and high heat exchange efficiency, which places higher demands on the precision of cooling medium flow control.

[0003] Existing water-cooled heat sinks mostly adopt constant flow or stepped adjustment of liquid supply. By adjusting the overall flow of cooling water, the heat dissipation requirements of different working conditions can be met. This type of solution has a mature structure and simple control method. It has accumulated a large number of application cases in various industrial temperature control scenarios and has become the mainstream implementation method in the industry.

[0004] In actual heat dissipation processes, the temperature distribution on the surface of a water-cooled heat sink is often significantly uneven due to factors such as heat source distribution, structural differences, and changes in operating conditions. The stable flow cooling method of traditional water-cooled heat sinks makes it difficult to make targeted adjustments based on the thermal state of different areas. When the overall flow rate is too high, it will result in low utilization of the cooling medium in non-high-heat areas and increased system energy consumption. When the overall flow rate is too low, it will not be able to meet the transient heat exchange requirements of local high-heat areas, resulting in insufficient heat dissipation. It is difficult to achieve a balance between localized enhanced heat dissipation and overall energy efficiency. Summary of the Invention

[0005] To address the technical problem in existing technologies where constant flow or stepped liquid supply methods are ill-suited to dynamic conditions with uneven temperature distribution on the heat sink surface, leading to insufficient localized heat dissipation or overall low cooling efficiency, the present invention aims to provide an intelligent control method and system for water-cooled heat sinks. The specific technical solution adopted is as follows: In a first aspect, a smart control method for a water-cooled heat sink is provided, comprising: acquiring temperature data at multiple monitoring locations on the water-cooled heat sink; segmenting the flow path of the coolant within the water-cooled heat sink based on the temperature data at the multiple monitoring locations, and determining the path segmentation information; determining whether the temperature distribution of the water-cooled heat sink meets a preset non-uniformity condition based on the temperature data at the multiple monitoring locations; if the non-uniformity condition is met, determining pulse control parameters based on the temperature data at the multiple monitoring locations and the path segmentation information; the pulse control parameters include: the proportion of high flow time, the high flow value, and the pulse frequency within a pulse cycle; and generating control commands based on the pulse control parameters to pulse-type adjust the coolant flow rate.

[0006] Based on the above technical solution, in the intelligent control method of the water-cooled heat sink provided by the present invention, temperature data from multiple monitoring locations of the water-cooled heat sink are collected, and the flow path of the coolant is segmented according to the temperature distribution characteristics. When it is determined that the temperature distribution meets the non-uniformity condition, pulse control parameters are determined based on the temperature data and path segmentation information, and the flow rate of the coolant is pulsedly adjusted. This can accurately match the heat dissipation requirements of different areas, achieve targeted heat dissipation enhancement in local high-heat areas, and avoid ineffective consumption of cooling medium in non-high-heat areas. While ensuring sufficient heat dissipation, the system's operating efficiency is also taken into account, effectively improving the adaptability and operational stability of the water-cooled heat sink system to complex dynamic thermal load conditions.

[0007] In conjunction with the first aspect above, in one possible implementation, the method for determining whether the temperature distribution of the water-cooled heat sink meets the preset non-uniformity condition based on temperature data from multiple monitoring locations specifically includes: determining the non-uniformity index of the temperature distribution based on temperature data from multiple monitoring locations; if the non-uniformity index is greater than a preset trigger threshold, it is determined that the non-uniformity condition is met, and the pulse control mode is triggered simultaneously.

[0008] In conjunction with the first aspect above, in one possible implementation, the method of segmenting the flow path of coolant in the water-cooled heat sink based on temperature data from multiple monitoring locations specifically includes: dividing the flow path of coolant from inlet to outlet into multiple continuous path segments with each monitoring location as a reference point; and associating each path segment with a monitoring location.

[0009] In conjunction with the first aspect above, in one possible implementation, the method for determining pulse control parameters based on temperature data from multiple monitoring locations and path segmentation information specifically includes: determining an index of the degree of non-uniformity of temperature distribution based on temperature data from multiple monitoring locations; and determining the proportion of high flow time based on the degree of non-uniformity index.

[0010] In conjunction with the first aspect above, in one possible implementation, the method for determining pulse control parameters based on temperature data from multiple monitoring locations and path segment information specifically includes: determining the heat dissipation demand intensity of each path segment based on the path segment information and temperature data from multiple monitoring locations; and determining the high flow rate value based on the heat dissipation demand intensity of multiple path segments and the position of the path segment in the flow path.

[0011] In conjunction with the first aspect above, in one possible implementation, the method for determining pulse control parameters based on temperature data and path segmentation information from multiple monitoring locations further includes: determining a low flow rate value based on a preset baseline flow rate, a high flow rate time percentage, and a high flow rate value.

[0012] In conjunction with the first aspect above, in one possible implementation, the method for determining pulse control parameters based on temperature data from multiple monitoring locations and path segment information specifically includes: identifying the target path segment with the greatest heat dissipation demand intensity based on path segment information and temperature data from multiple monitoring locations; and determining the pulse frequency based on high flow rate value, high flow rate time percentage, and the position of the target path segment in the flow path.

[0013] In conjunction with the first aspect above, in one possible implementation, the method for acquiring temperature data at multiple monitoring locations on a water-cooled heat sink specifically includes: setting sensor mounting holes along the length direction on both sides of the water-cooled heat sink, embedding temperature sensors in an array within the mounting holes, and collecting temperature data at multiple monitoring locations.

[0014] In conjunction with the first aspect above, in one possible implementation, the method further includes: acquiring the current flow rate information of the coolant; comparing the current flow rate information with a preset target flow rate range to obtain flow deviation information; and adjusting the pulse control parameters based on the flow deviation information.

[0015] Secondly, an intelligent control system for a water-cooled heat sink is provided, comprising: a water-cooled heat sink, multiple temperature sensors, a control unit, and a flow regulating device; the water-cooled heat sink has a continuous flow channel for the flow of coolant inside its body, and multiple sensor mounting holes are opened along the length direction on both sides of the body, the mounting holes being close to or inside the surface of the body and arranged in an array along the extension direction of the flow channel; multiple temperature sensors are arranged on the mounting holes of the water-cooled heat sink for acquiring temperature data at multiple monitoring locations on the water-cooled heat sink; the control unit is communicatively connected to the multiple temperature sensors and is configured to perform the following operations: based on the temperature at multiple monitoring locations... The system segments the flow path of the coolant within the channel and determines the segmentation information. Based on temperature data from multiple monitoring locations, it determines whether the temperature distribution of the water-cooled heat sink meets the preset non-uniformity condition. If the non-uniformity condition is met, pulse control parameters are determined based on the temperature data from multiple monitoring locations and the path segmentation information. The pulse control parameters include the proportion of high flow time, the high flow value, and the pulse frequency within a pulse cycle. Control commands are generated based on the pulse control parameters. A flow regulating device is arranged in the pipeline connected to the flow channel and communicates with the control unit to pulse-regulate the coolant flow rate according to the control commands.

[0016] The present invention has the following beneficial effects: By collecting temperature data from multiple monitoring locations on the water-cooled heat sink and segmenting the coolant flow path based on temperature distribution characteristics, when the temperature distribution meets the non-uniformity condition, pulse control parameters are determined based on temperature data and path segmentation information, and pulse-type adjustment of the coolant flow rate is implemented. This can accurately match the heat dissipation needs of different areas, achieve targeted enhanced heat dissipation in local high-heat areas, and avoid ineffective consumption of cooling medium in non-high-heat areas. While ensuring sufficient heat dissipation, it also takes into account the system's operating efficiency, effectively improving the water-cooled heat dissipation system's adaptability and operational stability under complex dynamic thermal load conditions. Attached Figure Description

[0017] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A system structure diagram of an intelligent control system for a water-cooled heat sink provided in one embodiment of the present invention; Figure 2 A flowchart illustrating an intelligent control method for a water-cooled heat sink according to an embodiment of the present invention; Figure 3 This is a schematic diagram of flow path division provided in one embodiment of the present invention; Figure 4 This is a schematic diagram of the hardware structure of an intelligent control device for a water-cooled heat sink, provided as an embodiment of the present invention. Detailed Implementation

[0019] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an intelligent control method and system for a water-cooled heat sink according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0021] The following description, in conjunction with the accompanying drawings, details the specific scheme of the intelligent control method and system for a water-cooled heat sink provided by the present invention.

[0022] Please see Figure 1 The diagram shows a system structure diagram of an intelligent control system for a water-cooled heat sink according to an embodiment of the present invention. The intelligent control system for the water-cooled heat sink includes: a water-cooled heat sink 1, multiple temperature sensors 2, a control unit 3, and a flow regulating device 4.

[0023] Among them, the water-cooled heat sink 1 is the heat dissipation carrier and temperature monitoring platform of the entire system, providing the installation foundation and working environment for other modules. It contains two functional sub-modules, as follows: Flow channel 11 is a continuous flow channel machined inside the water-cooled heat sink 1. It can be realized through processes such as precision die casting and mechanical milling. Its specific direction and cross-sectional dimensions can be customized according to heat dissipation requirements. Its core function is to supply coolant for internal circulation, and to remove heat through heat exchange between the coolant and the plate. The complete flow path information of flow channel 11 is the basis for the subsequent path segmentation of the control unit 3.

[0024] The mounting holes are an array of holes along the length of both sides of the water-cooled heat sink 1. The holes are located close to the surface of the plate or directly inside the plate surface and are evenly distributed along the extension direction of the flow channel 11. The core function of this submodule is to provide stable mounting positions for multiple temperature sensors 2, ensuring that the temperature sensors 2 can make full contact with the plate and collect accurate plate temperature data.

[0025] The water-cooled heat sink 1 provides the hardware foundation for temperature monitoring and heat dissipation regulation of the entire system through the heat exchange function of the flow channel 11 and the sensor carrying function of the mounting hole. Its plate temperature data is collected by multiple temperature sensors 2, and the flow path information is transmitted to the control unit 3 for subsequent analysis.

[0026] Temperature sensor 2 is the system's temperature data acquisition module. It can be implemented using physical devices such as thermistors, thermocouples, or digital temperature sensors. Specifically, it is embedded into the mounting holes of the water-cooled heat sink 1, ensuring a tight fit with the surface of the plate. The core working principle of this module is to utilize the sensor's own temperature sensitivity to convert temperature signals from multiple monitoring locations on the water-cooled heat sink 1 into transmittable electrical or digital signals. The acquired temperature data from multiple monitoring points is transmitted to the control unit 3 in real time, serving as the core data support for the control unit 3 to perform subsequent tasks such as path segmentation, judgment of uneven temperature distribution, and determination of pulse control parameters.

[0027] Control Unit 3 is the core data processing and instruction generation module of the entire system. It can be implemented using physical devices such as PLC controllers, industrial-grade microcontrollers, and embedded control boards. It integrates four functional sub-modules, and some sub-modules can be expanded to a fifth sub-module as needed. All sub-modules work collaboratively and data flows in an orderly manner, as detailed below: The path segmentation submodule 31 receives temperature data from multiple monitoring locations transmitted by multiple temperature sensors 2. Using each monitoring location as a reference point, it divides the coolant flow path in the flow channel 11 into multiple continuous path segments and determines the corresponding path segment information. The path segmentation information output by this submodule is synchronously transmitted to the non-uniformity condition judgment submodule 32 and the pulse control parameter determination submodule 33, providing a basis for path segmentation for subsequent temperature distribution analysis and heat dissipation requirement matching. The non-uniformity condition judgment submodule 32 receives temperature data from multiple temperature sensors 2 and path segmentation information from the path segmentation submodule 31. It calculates the non-uniformity index of the temperature distribution using a preset algorithm and then compares the index with a preset trigger threshold. If the non-uniformity index is greater than the trigger threshold, the non-uniformity condition is determined to be met, and the pulse control mode is triggered. The judgment result is then transmitted to the pulse control parameter determination submodule 33 to start the subsequent pulse adjustment process. The pulse control parameter determination submodule 33 receives the trigger signal from the non-uniformity condition judgment submodule 32, temperature data from multiple temperature sensors 2, and path segmentation information from the path segmentation submodule 31. It then completes the pulse control parameter determination process in steps: First, it determines the high flow rate time percentage based on the non-uniformity index calculated from the temperature data. Next, it determines the heat dissipation demand intensity for each path segment based on the path segmentation information and temperature data, and determines the high flow rate value by combining the heat dissipation demand intensity and the path segment location. Then, it determines the low flow rate value based on the preset baseline flow rate, high flow rate time percentage, and high flow rate value. Finally, it identifies the target path segment with the highest heat dissipation demand intensity and determines the pulse frequency by combining the high flow rate value and the target path segment location. This ultimately forms a complete pulse control parameter set containing the high flow rate time percentage, high flow rate value, and pulse frequency. The control command generation submodule 34 receives the pulse control parameter set output by the pulse control parameter determination submodule 33 and converts the parameters into control commands that the flow regulating device 4 can recognize and execute. The command form can be matched to the type of the flow regulating device 4 as a switch signal, analog voltage signal or digital communication signal. The flow deviation adjustment submodule 35 is an extended functional submodule of the control unit 3, which can be implemented through an integrated flow acquisition interface. This submodule acquires the current flow information of the coolant, compares the current flow information with the preset target flow range to obtain the flow deviation information, and then dynamically adjusts the pulse control parameters output by the pulse control parameter determination submodule 33 based on the flow deviation information, thereby further improving the accuracy of flow regulation.

[0028] The control unit 3 completes the entire process from data reception, analysis and judgment to instruction generation through the coordinated processing of various sub-modules. Its output control instructions are the direct basis for the flow regulation device 4 to carry out pulse flow regulation.

[0029] The flow regulation device 4 is the execution module of the entire system. It can be implemented by physical devices such as electromagnetic flow regulating valves, variable frequency water pumps, and proportional flow valves, and is installed in the external pipeline connected to the flow channel 11 of the water-cooled heat sink 1. The core working mechanism of this module is to receive control commands from the control unit 3 and generate control commands output by the submodule 34. According to the pulse control parameters contained in the commands, the flow rate of the coolant is pulsedly regulated. Specifically, within one pulse cycle, the high flow rate value and low flow rate value operating states are switched according to the preset high flow rate time ratio, which is used to specifically match the heat dissipation requirements of each path segment and solve the problem of uneven temperature distribution of the water-cooled heat sink 1.

[0030] The flow regulation effect of the flow regulation device 4 is reflected by the temperature change of the water-cooled heat sink 1. The new temperature data will be re-collected by multiple temperature sensors 2 and transmitted to the control unit 3 for analysis, thereby forming a closed-loop control and realizing dynamic balance control of the water-cooled heat sink temperature.

[0031] Please see Figure 2 The diagram illustrates a flowchart of an intelligent control method for a water-cooled heat sink according to an embodiment of the present invention. The intelligent control method for the water-cooled heat sink includes: S1. Obtain temperature data from multiple monitoring locations on the water-cooled heat sink.

[0032] In some implementations, sensor mounting holes are set along the length of the water-cooled heat sink on both sides (e.g., at equal intervals of 5cm), with one row of mounting holes on each side covering the entire length of the sink. Temperature sensors are embedded in these holes in an array, with the sensors positioned inside the heat sink surface or close to the surface (about 2mm away). This close proximity of the sensors to the heat-generating area of ​​the heat sink effectively reduces temperature monitoring latency and improves data real-time performance and accuracy. Each temperature sensor collects temperature data from multiple monitoring locations at a fixed interval, such as 1 second.

[0033] Furthermore, a preset temperature distribution fitting algorithm (such as Kriging interpolation) is used to construct the temperature distribution status of the heat sink based on temperature data from multiple monitoring locations. Simultaneously, a preset temperature acquisition validity threshold (e.g., if the fluctuation range of three consecutive data acquisitions from the same sensor is less than 0.2℃, the data set is considered valid) is used to filter out abnormal data that occurs during transmission, improving the accuracy of the temperature distribution status and preventing abnormal data from interfering with subsequent judgments of the water cooling system's operating conditions.

[0034] S2. Based on temperature data from multiple monitoring locations, segment the flow path of the coolant within the water-cooled heat sink and determine the path segmentation information.

[0035] In some implementations, the flow path of the coolant from the inlet to the outlet is divided into multiple continuous path segments, using each monitoring location as a reference point. After segmentation, each path segment is associated with a monitoring location.

[0036] Specifically, first obtain the extension direction of the continuous flow channel of the coolant in the heat sink (i.e., the overall direction of the flow path), and at the same time retrieve the spatial coordinates of each temperature sensor on the heat sink (for example, establish a one-dimensional path coordinate system with the coolant inlet as the origin and along the actual curvature of the flow channel (the actual flow path of serpentine, loop, etc.). The coordinate values ​​of this coordinate system are the actual fluid flow length from the inlet to the corresponding position on the flow channel. Record the coordinate values ​​of each temperature sensor in this one-dimensional path coordinate system, as well as the starting and ending coordinates of each path segment in this coordinate system.

[0037] Subsequently, as Figure 3 As shown, along the extension direction of the flow path, the flow path is divided into multiple segments that are connected end to end without overlap or discontinuity, with the midpoint coordinates of adjacent temperature sensors in the actual flow path coordinate system as the dividing point. The length of each segment is the length of the actual flow path (for example, the first segment is from the inlet to the center point of the first and second sensors, the second segment is from the center point of the first sensor to the center point of the second and third sensors, and so on, with the last center point to the coolant outlet being the last segment). At the same time, a segment length threshold is preset (for example, the minimum segment length is not less than 2 cm). If the distance between adjacent sensors is less than this threshold, the corresponding segments are merged to ensure that the segments cover the entire flow path, and each segment corresponds to at least one temperature sensor, avoiding redundancy in subsequent analysis due to overly fine segmentation.

[0038] Next, a preset distance matching algorithm (such as the nearest neighbor matching algorithm) is used to establish an association between each segment and the nearest temperature sensor. At the same time, the length of each segment, the corresponding sensor identifier, and the monitoring location information of the sensor are recorded, so that each segment can be associated with specific temperature monitoring data, forming complete path segment information that includes the segment spatial range and associated monitoring points.

[0039] S3. Based on temperature data from multiple monitoring locations, determine whether the temperature distribution of the water-cooled heat sink meets the preset non-uniformity condition.

[0040] In some implementations, the method of S3 can be specifically implemented through the following S31 to S32, which are explained in detail below: S31. Based on temperature data from multiple monitoring locations, determine the index of the degree of unevenness in temperature distribution.

[0041] In some implementations, temperature data from multiple monitoring locations are sorted from highest to lowest, and the top 25% of the sorted data are selected to calculate the mean of this portion of data. (i.e., the average temperature of the local high-heat area), and simultaneously calculate the overall average of temperature data from all monitoring locations. Then, the difference between the average temperature of the local high-temperature area and the average temperature of the whole area is calculated, and this difference is divided by the preset temperature change. (Values ​​greater than zero, for example, 5℃), to obtain an index of the degree of unevenness in temperature distribution: In the formula, dividing by the preset temperature change eliminates dimensions, enabling the index to stably reflect the differences in temperature distribution under different operating conditions and avoiding judgment bias caused by fluctuations in the absolute value of temperature. The larger the index value, the greater the temperature of the local high-heat area is compared with the overall temperature, and the more significant the non-uniformity of temperature distribution.

[0042] S32. If the non-uniformity index is greater than the preset trigger threshold, the non-uniformity condition is determined to be met, and the pulse control mode is triggered simultaneously.

[0043] In some implementations, a preset non-uniformity trigger threshold is retrieved (e.g., a value of 0.85, which is preset based on the conventional heat exchange requirements and energy consumption balance requirements of the water cooling system). The non-uniformity index is compared with the trigger threshold. When the index is less than the threshold, the temperature difference between the local and the overall temperature is small, and the conventional uniform water cooling method can take into account both overall heat exchange and local heat dissipation. However, when the index exceeds the threshold, it means that the temperature difference between the local high-heat area and the whole has become so large that conventional uniform control cannot simultaneously meet the heat dissipation requirements of the local high-heat area and the reasonable control of overall energy consumption. At this time, the non-uniformity of temperature distribution has significantly affected the heat dissipation effect, and therefore it is determined that the non-uniformity condition is met.

[0044] Simultaneously, a trigger command is sent to the control module to enable the pulse control mode, promptly switching the control mode of the coolant so that the coolant enters an alternating flow state in the time dimension.

[0045] S4. If the non-uniformity condition is met, the pulse control parameters are determined based on the temperature data from multiple monitoring locations and the path segmentation information.

[0046] The pulse control parameters include: the percentage of high flow time, the high flow value, and the pulse frequency within a pulse cycle.

[0047] In some implementations, the method for determining the proportion of high flow time may specifically include: determining an index of temperature distribution unevenness based on temperature data from multiple monitoring locations; processing the unevenness index using a preset normalization algorithm to obtain corresponding weighting coefficients; and combining these with preset maximum and minimum values ​​for the proportion of high flow time (preset based on the response characteristics of the heat dissipation system, for example, 0.7 and 0.3 respectively) to determine the proportion of high flow time. In the formula, This represents the percentage of time corresponding to high flow rate within the pulse period at time t, with a value range of []. , ]; The weighting coefficient is obtained by processing the non-uniformity index at time t using a normalization function. This represents the maximum value (preset parameter) of high traffic percentage, indicating the upper limit of high traffic percentage; This represents the minimum value (preset parameter) of high traffic percentage, indicating the lower limit of high traffic percentage; Unless otherwise specified, the normalization functions mentioned in the embodiments of this invention all employ maximum and minimum value normalization. The maximum and minimum values ​​are preset empirical extreme values ​​derived from a large amount of historical experimental data. If the calculation result exceeds the interval [0, 1], a truncation function is used to limit it to the range [0, 1] (i.e., if the result is less than 0, it is taken as 0; if it is greater than 1, it is taken as 1) to eliminate the influence of outliers on the result.

[0048] In some implementations, methods for determining high flow rates may specifically include: First, determining the heat dissipation demand intensity for each path segment based on path segmentation information and temperature data from multiple monitoring locations. In the formula, This represents the heat dissipation demand intensity corresponding to the i-th path segment at time t; n represents the number of temperature sensors on the heat sink (fixed device parameters). The distance between the geometric center of the i-th path segment in the actual path coordinate system of the flow channel and the coordinate of the r-th temperature sensor in the actual path coordinate system of the flow channel represents the spatial relationship between the segment and the monitoring point. The smaller the value (the closer the segment is to the monitoring point), the greater its contribution to the heat dissipation requirement. w is the distance weighting coefficient, which can usually be taken as 1 unit distance. This represents the data collected by the r-th temperature sensor at time t, characterizing the temperature state at the corresponding monitoring location. The larger the value (the higher the temperature at the monitoring point), the greater its contribution to heat dissipation requirements.

[0049] Subsequently, based on the heat dissipation demand intensity of multiple path segments and their positions in the flow path, a high flow rate value is determined. Specifically, this includes: weighting the heat dissipation demand intensity of multiple path segments based on their positions in the flow path (distance from the coolant inlet) to obtain a correction coefficient for the high flow rate; then, retrieving a preset baseline flow rate (e.g., obtained through an empirical model fitted from historical operating data), and combining the baseline flow rate with the correction coefficient to calculate the high flow rate value. In the formula, This indicates the high flow rate value of pulse control at time t, which is an enhanced flow rate adapted to high-heat areas at a distance. The baseline flow rate at time t (based on empirical models / historical data) represents the adaptive flow rate under normal operating conditions; m represents the number of path segments (fixed segmentation parameters); norm is the normalization function. It is a correction factor for high flow rates.

[0050] In some implementations, the method may further include: determining a low flow value based on a preset baseline flow rate, the percentage of high flow time, and the high flow value. In the formula, This represents the low flow rate value of pulse control at time t, which is a low flow rate that balances energy consumption and basic heat dissipation. This indicates the percentage of high-flow time at time t; This indicates the preset minimum flow rate, representing the minimum allowable flow rate of the coolant.

[0051] It is a preliminary low flow value based on the average flow constraint. The value is related to the preset maximum and minimum values; you can avoid the denominator being zero by setting the maximum value to 0.7. This is to ensure that low traffic does not fall below the minimum allowable value.

[0052] In some implementations, the method for determining the pulse frequency may specifically include: identifying the target path segment with the highest heat dissipation demand based on path segment information and temperature data from multiple monitoring locations, and clarifying the location of the high-heat area that pulse control needs to focus on covering; determining the pulse frequency based on the high flow rate value, the proportion of high flow rate time, and the position of the target path segment in the flow path, specifically including: first calculating the duration of high flow rate in one cycle based on the high flow rate value, the position of the target path segment in the flow path, and the preset equivalent flow channel cross-sectional area. In the formula, This indicates the duration of the high-flow phase at time t; It represents the actual flow path length from the water coolant inlet to the end of the target segment at time t, and characterizes the path length that needs to be covered; is the pipeline correction factor (preset parameter, such as 0.85), used to correct the influence of flow channel corners and resistance on flow rate; A is the equivalent cross-sectional area of ​​the flow channel (fixed equipment parameter).

[0053] The theoretical forward velocity (i.e., flow rate) of the coolant is multiplied by α to obtain the actual forward velocity (correcting for the influence of flow channel resistance). The pipe length is divided by the actual forward velocity to obtain the duration of the high flow rate phase.

[0054] In addition, a minimum response time for the preset equipment is set (e.g., 0.5s, the specific value to be determined based on the actual response performance of the flow regulating device); if the calculated... If it is less than the device's minimum response time, then Adjust to the device's minimum response time; if If the result is greater than or equal to the device's minimum response time, the original calculation result is retained. This constraint avoids issues caused by... Too short a pulse frequency will prevent the flow regulation device from responding to the flow switching command in time, ensuring that the coolant can stably reach the target segment during the high flow stage, while preventing system fluctuations caused by excessively high pulse frequency.

[0055] Then, by combining the proportion of high-flow time, the pulse period is calculated, and thus the pulse frequency is obtained: In the formula, The pulse period at time t represents the total duration of one alternation between high and low flow rates; The pulse frequency at time t represents the number of alternations per unit time.

[0056] Furthermore, the method also includes: acquiring the current flow rate information of the coolant; comparing the current flow rate information with a preset target flow rate range (e.g., taking a ±5% range of the baseline flow rate) to determine whether the current flow rate is within the range, below the lower limit of the range, or above the upper limit of the range, and quantifying the degree of difference between the current flow rate and the baseline flow rate to obtain flow deviation information, including absolute deviation or relative deviation (e.g., when above the upper limit, the absolute deviation is the difference between the current flow rate and the upper limit of the range, and the relative deviation is the ratio of the absolute deviation to the upper limit of the range); adjusting the pulse control parameters according to the flow deviation information, for example, using a linear adjustment scheme to fine-tune the pulse control parameters. The core logic is to uniformly correct the parameters according to the proportion of the relative flow deviation, while setting an adjustment range limit to avoid excessive system fluctuations, as detailed below: First, preset the linear adjustment coefficient: the linear correction ratio for flow deviation is fixed, and the single adjustment range does not exceed 10% of the original parameter, and the cumulative adjustment range does not exceed 20% of the original parameter, to ensure smooth adjustment.

[0057] If the flow deviation is negative (actual flow is lower than the target range lower limit), the high flow value is adjusted linearly: for every 1% relative negative deviation, the high flow value increases linearly by 0.5%. For example, if the relative negative deviation is 6%, the high flow value increases linearly by 3% on the original basis, directly supplementing the average flow through the linear increase of the high flow amplitude. If the low flow has not yet reached the preset minimum flow at this time, it is simultaneously adjusted by a linear increase of 0.3% in the low flow value for every 1% relative negative deviation, avoiding flow fluctuations caused by adjusting only the high flow.

[0058] If the flow deviation is positive (actual flow exceeds the upper limit of the target range), the high flow time percentage is first adjusted linearly: for every 1% relative positive deviation, the high flow time percentage is reduced linearly by 0.4%. For example, if the relative positive deviation is 7%, the high flow time percentage is reduced linearly by 2.8%, thus reducing the total flow consumption by shortening the duration of high flow. If the flow still exceeds the target range after adjusting the percentage, further adjustments are made at a rate of 0.3% linear reduction in the high flow value for every 1% relative positive deviation. It is necessary to ensure that the adjusted high flow value is not lower than the baseline flow to avoid affecting the heat dissipation intensity of local high-heat areas.

[0059] After each linear adjustment, the average flow rate within the pulse cycle is recalculated. If the average flow rate returns to the target range, the adjustment is stopped. If there is still a deviation, the above adjustment steps are repeated according to the same linear ratio until the flow deviation is corrected. This ensures that the adjustment process is continuous and controllable, while not compromising the targeted heat dissipation function of the pulse control for local high heat.

[0060] S5. Generate control commands based on pulse control parameters to adjust the water coolant flow rate in a pulse manner.

[0061] The established pulse control parameters, including the high flow time percentage, high flow value, low flow value, and pulse frequency, are retrieved. A pulse-width modulation (PWM) algorithm is used to integrate these parameters, generating corresponding pulse control waveform signals. This process clarifies the switching sequence, duration, and corresponding flow amplitude between high and low flow. The high flow time percentage determines the proportion of high-level duration in the waveform, the pulse frequency determines the waveform period length, and the high and low flow values ​​correspond to the target flow references for the high and low level phases, respectively.

[0062] After receiving a control command, the flow regulating device (such as an electromagnetic proportional valve or a variable frequency pump) performs regulating actions according to the timing characteristics of the pulse control waveform: During the high flow stage of the pulse cycle, the device adjusts its working state according to the command signal corresponding to the high flow value (such as the electromagnetic proportional valve opening its valve or the variable frequency pump increasing its operating frequency) to quickly increase the coolant flow rate to the preset high flow value and maintain it; when the timing switches to the low flow stage, the device adjusts according to the command signal corresponding to the low flow value (such as the electromagnetic proportional valve closing its valve or the variable frequency pump decreasing its frequency) to make the flow rate drop back to the low flow value.

[0063] Based on the above technical solution, by collecting temperature data from multiple monitoring locations on the water-cooled heat sink and segmenting the coolant flow path according to the temperature distribution characteristics, when it is determined that the temperature distribution meets the non-uniformity condition, the pulse control parameters are determined based on the temperature data and path segmentation information, and the coolant flow rate is pulsedly adjusted. This can accurately match the heat dissipation needs of different areas, achieve targeted heat dissipation enhancement in local high-heat areas, and avoid ineffective consumption of cooling medium in non-high-heat areas. While ensuring sufficient heat dissipation, it also takes into account the system's operating efficiency, effectively improving the water-cooled heat dissipation system's adaptability and operational stability to complex dynamic thermal load conditions.

[0064] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0065] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0066] In this embodiment of the invention, the intelligent control device for a water-cooled heat sink can be divided into functional units according to the above method example. For example, each function can be divided into its own functional unit, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this embodiment is illustrative and only represents one logical functional division; in actual implementation, there may be other division methods.

[0067] This invention also provides a hardware structure diagram of an intelligent control device for a water-cooled heat sink, see [link / reference]. Figure 4 The intelligent control device 400 of the water-cooled heat sink includes a processor 401, and optionally, a memory 402 connected to the processor 401.

[0068] In the first possible implementation, see Figure 4 The intelligent control device 400 for the water-cooled heat sink also includes a transceiver 403. The processor 401, memory 402, and transceiver 403 are connected via a bus. The transceiver 403 is used to communicate with other devices or communication networks. Optionally, the transceiver 403 may include a transmitter and a receiver. The device in the transceiver 403 that implements the receiving function can be considered as a receiver, which is used to perform the receiving steps in the embodiments of the present invention. The device in the transceiver 403 that implements the transmitting function can be considered as a transmitter, which is used to perform the transmitting steps in the embodiments of the present invention.

[0069] Based on the first possible implementation method Figure 4 The structural diagram shown can be used to illustrate the structure of the intelligent control device for the water-cooled heat sink involved in the above embodiments.

[0070] in, Figure 4 The diagram can also illustrate the system chip in the intelligent control device of the water-cooled heat sink. In this case, the actions performed by the intelligent control device of the water-cooled heat sink can be implemented by the system chip. The specific actions performed can be found above and will not be repeated here.

[0071] Although the invention has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings and the disclosure, will understand and implement other variations of the disclosed embodiments in carrying out the claimed invention. In this invention, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality. A single processor or other unit can implement several of the functions listed in this invention.

[0072] Although the invention has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made therein without departing from the spirit and scope of the invention. Accordingly, this specification and drawings are merely illustrative of the invention and are to be considered as covering any and all modifications, variations, combinations, or equivalents within the scope of the invention. Clearly, those skilled in the art can make various alterations and modifications to the invention without departing from its spirit and scope. Thus, if such modifications and modifications of the invention fall within the scope of the invention and its equivalents, the invention is also intended to include such modifications and modifications.

Claims

1. A smart control method for a water-cooled heat sink, characterized in that, include: Acquire temperature data from multiple monitoring locations on the water-cooled heat sink; Based on the temperature data from the multiple monitoring locations, the flow path of the coolant within the water-cooled heat sink is segmented, and the path segmentation information is determined. Based on the temperature data from the multiple monitoring locations, determine whether the temperature distribution of the water-cooled heat sink meets the preset non-uniformity condition; If the non-uniformity condition is met, then the pulse control parameters are determined based on the temperature data from the multiple monitoring locations and the path segmentation information. The pulse control parameters include: the percentage of high flow time, the high flow value, and the pulse frequency within a pulse cycle; Control commands are generated based on the pulse control parameters to adjust the flow rate of the coolant in a pulse manner.

2. The intelligent control method according to claim 1, characterized in that, Based on the temperature data from the multiple monitoring locations, determine whether the temperature distribution of the water-cooled heat sink meets the preset non-uniformity condition, including: Based on the temperature data from the multiple monitoring locations, an index for the degree of unevenness in temperature distribution is determined; If the non-uniformity index is greater than the preset trigger threshold, the non-uniformity condition is determined to be met, and the pulse control mode is triggered simultaneously.

3. The intelligent control method according to claim 1, characterized in that, Based on the temperature data from the multiple monitoring locations, the flow path of the coolant within the water-cooled heat sink is segmented, including: Using each monitoring location as a reference point, the flow path of the coolant from the inlet to the outlet is divided into multiple continuous path segments; Each path segment is associated with a monitoring location.

4. The intelligent control method according to claim 1, characterized in that, Based on the temperature data from the multiple monitoring locations and the path segmentation information, pulse control parameters are determined, including: Based on the temperature data from the multiple monitoring locations, an index for the degree of unevenness in temperature distribution is determined; The proportion of high flow time is determined based on the unevenness index.

5. The intelligent control method according to claim 1, characterized in that, Based on the temperature data from the multiple monitoring locations and the path segmentation information, pulse control parameters are determined, including: Based on the path segmentation information and the temperature data from the multiple monitoring locations, the heat dissipation demand intensity for each path segment is determined. The high flow rate value is determined based on the heat dissipation requirements of multiple path segments and the position of the path segments in the flow path.

6. The intelligent control method according to claim 1, characterized in that, Based on the temperature data from the multiple monitoring locations and the path segmentation information, the pulse control parameters are determined, further including: The low flow rate is determined based on the preset baseline flow rate, the percentage of high flow time, and the high flow rate value.

7. The intelligent control method according to claim 1, characterized in that, Based on the temperature data from the multiple monitoring locations and the path segmentation information, pulse control parameters are determined, including: Based on the path segmentation information and the temperature data from the multiple monitoring locations, identify the target path segment with the greatest heat dissipation demand. The pulse frequency is determined based on the high flow rate value, the proportion of high flow time, and the position of the target path segment in the flow path.

8. The intelligent control method according to claim 1, characterized in that, Acquire temperature data from multiple monitoring locations on the water-cooled heatsink, including: By setting sensor mounting holes along the length direction on both sides of the water-cooled heat sink, temperature sensors are embedded in the mounting holes in an array to collect temperature data at multiple monitoring locations.

9. The intelligent control method according to claim 1, characterized in that, Also includes: Obtain the current flow rate information of the coolant; By comparing the current traffic information with the preset target traffic range, traffic deviation information is obtained; The pulse control parameters are adjusted based on the flow deviation information.

10. An intelligent control system for a water-cooled heat sink, characterized in that, include: Water-cooled heat sink, multiple temperature sensors, control unit, and flow regulation device; The water-cooled heat dissipation plate has a continuous flow channel for the flow of coolant inside the plate body. Multiple sensor mounting holes are opened on both sides of the plate body along the length direction. The mounting holes are close to the plate surface or located inside the plate surface and are distributed in an array along the extension direction of the flow channel. The multiple temperature sensors are arranged on the mounting holes of the water-cooled heat sink to acquire temperature data at multiple monitoring locations on the water-cooled heat sink. The control unit is communicatively connected to the plurality of temperature sensors and is configured to perform the following operations: Based on the temperature data from the multiple monitoring locations, the flow path of the coolant within the flow channel is segmented, and the path segmentation information is determined. Based on the temperature data from the multiple monitoring locations, determine whether the temperature distribution of the water-cooled heat sink meets the preset non-uniformity condition; If the non-uniformity condition is met, then the pulse control parameters are determined based on the temperature data from the multiple monitoring locations and the path segmentation information. The pulse control parameters include: the percentage of high flow time, the high flow value, and the pulse frequency within a pulse cycle; Control commands are generated based on the pulse control parameters; The flow regulating device is arranged in a pipeline connected to the flow channel and is communicatively connected to the control unit, and is used to pulse-type regulate the flow rate of the water coolant according to the control command.

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