A Two-Phase Cold Plate Heat Dissipation Control Method and System Based on Vibration and Flow Coordination

Abstract

This invention discloses a two-phase cold plate heat dissipation control method and system based on vibration and flow coordinated regulation, relating to the field of liquid cooling technology. The method and system include: S1, real-time acquisition of cold plate coordinated heat dissipation data and preprocessing of the data; S2, assessment of the degree of heat dissipation degradation of the two-phase cold plates, classification of heat dissipation status, and issuance of regulation commands; S3, execution of control commands, assessment of the regulation response status of the cooling path, determination of the regulation effect, and triggering of a time-sharing coordinated regulation strategy; S4, determination of whether the cooling path has failed in heat dissipation, assessment of the thermal degradation trend of the two-phase cold plates, and execution of a liquid path switching strategy. This invention solves the problem in existing cold plate liquid cooling technologies where coolant produces oil films due to temperature changes. These oil films easily adhere to the inner walls of micropores, causing flow obstruction and reduced heat exchange efficiency, further leading to localized overheating and unstable equipment performance.

Description

Technical Field

[0001] This invention relates to the field of liquid cooling technology, specifically to a two-phase cold plate heat dissipation control method and system based on the coordinated regulation of vibration and flow. Background Technology

[0002] Currently, in high-performance computing, data centers, servers, and thermal management scenarios for high heat flux density chips, two-phase liquid cooling technology has become an important technical route to solve chip heat dissipation bottlenecks due to its efficient heat conduction capabilities and compact integration characteristics. Among these components, the two-phase cold plate, as a core hot-end component, plays a crucial role in rapidly transferring heat from the chip to the coolant, and its heat dissipation performance directly affects the stability and energy efficiency of the entire cooling system. Therefore, several technical solutions have been proposed to improve heat exchange efficiency and heat dissipation uniformity, focusing on key factors such as cold plate structural design, internal flow channel optimization, and fin arrangement.

[0003] For example, the invention disclosed in CN118119164A provides a liquid-cooled heat sink, which includes: a first substrate, on the first surface of which multiple rows and columns of pins are formed, and the first surface of the first substrate also has longitudinally spaced inlet and outlet ends for coolant flow; a second surface of the first substrate has multiple mounting areas spaced laterally; at least one set of baffles, each set of baffles being inserted into the gaps between the pins corresponding to the intervals, the intervals being the areas between adjacent mounting areas, each set of baffles including multiple longitudinally spaced baffles, each baffle having a notch facing the outlet end to prevent coolant from entering the gaps between the pins within the notch; and a second substrate connected to the first surface of the first substrate, the second substrate having a groove forming an inlet hole and an outlet hole. This liquid-cooled heat sink can improve heat dissipation efficiency and increase reusability.

[0004] For example, the invention disclosed in CN113365485A discloses a liquid-cooled plate radiator, which includes a radiator body with a coolant flow channel formed inside the radiator body for circulating coolant. The coolant flow channel includes several sub-channels, and several fin units are arranged along the flow direction of the coolant on the sub-channels. Each fin unit has several fins extending side-by-side along the flow direction of the coolant. Furthermore, the fins of adjacent fin units on the sub-channels are staggered, thereby increasing the heat dissipation area and enhancing the turbulence of the coolant flowing within the sub-channels, thus improving heat dissipation efficiency. This solves the technical problems of limited heat dissipation area and low heat dissipation efficiency caused by a single straight-line coolant flow channel, effectively increasing the contact area between the liquid-cooled plate radiator and the coolant, and improving heat dissipation efficiency by increasing the turbulence of the coolant. The structure is simple.

[0005] However, while the aforementioned solutions have achieved some success in structural optimization and heat transfer performance improvement, they primarily focus on physical improvements to the cold plate body or flow channel structure, failing to conduct in-depth research on the dynamic collaborative control of cooling paths and the heat dissipation status perception mechanism at the system level. In actual operation, with the chip's thermal load exhibiting nonlinear fluctuations, the coolant's physical properties gradually deteriorating, and microchannel blockage caused by dynamic changes in the oil film frequently occurring, traditional heat dissipation solutions based on static structural design are no longer adequate for the complex heat dissipation scenarios in multi-path parallel liquid cooling systems.

[0006] Therefore, in order to address the above problems, there is an urgent need for a two-phase cold plate heat dissipation control method and system based on the coordinated regulation of vibration and flow. Summary of the Invention

[0007] Technical problems to be solved

[0008] To address the shortcomings of existing technologies, this invention provides a two-phase cold plate heat dissipation control method and system based on the coordinated regulation of vibration and flow. This solves the problem in existing cold plate liquid cooling heat dissipation technology where the coolant produces an oil film due to temperature changes. These oil films easily adhere to the inner wall of the micropores, causing flow obstruction and reduced heat exchange efficiency, and further leading to local overheating and unstable equipment performance.

[0009] Technical solution

[0010] To achieve the above objectives, the present invention provides the following technical solution: a two-phase cold plate heat dissipation control method based on vibration and flow synergy regulation, comprising: S1, real-time acquisition of cold plate synergy heat dissipation data, and performing timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression, and normalization processing on the cold plate synergy heat dissipation data; S2, based on the preprocessed cold plate synergy heat dissipation data, establishing a spatial mapping relationship between the temperature monitoring area and the cooling path, evaluating the degree of heat dissipation degradation of the two-phase cold plate, performing heat dissipation state classification judgment, and issuing corresponding regulation commands based on the classification results; S3, the execution unit receives and executes various control commands, evaluates the regulation response state of each cooling path, determines the regulation effect, and triggers the dynamic iteration process of the time-sharing synergy regulation strategy based on the regulation results; S4, continuously monitoring the oil film density evolution to determine whether the cooling path has heat dissipation failure, evaluating the thermal degradation trend of the two-phase cold plate, executing the liquid path switching strategy based on the evaluation results, and extracting path operation characteristics to construct a strategy evolution sample set to achieve continuous optimization of the cooling strategy.

[0011] Furthermore, the specific steps for real-time acquisition of cold plate collaborative heat dissipation data and the processing of this data, including timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression, and normalization, are as follows: Real-time acquisition of cold plate collaborative heat dissipation data, including inlet temperature, outlet temperature, coolant flow rate, coolant specific heat capacity, coolant viscosity, chip power consumption, chip temperature, vibrator frequency, ambient temperature, and oil film density; and the construction of a timing synchronization method based on multi-channel timestamp alignment and sampling interval reconstruction to perform cross-module time alignment and data frame unification of the cold plate collaborative heat dissipation data. The system employs several methods: First, an anomaly cleaning algorithm combining outlier identification and physical constraint filtering is introduced to filter and repair pulse disturbances, sensor drift, and physically inconsistent values ​​in the cold plate collaborative heat dissipation data. Second, a smoothing and denoising method combining sliding window filtering and dynamic threshold monitoring is used to suppress high-frequency jitter and measurement noise in the cold plate collaborative heat dissipation data. Third, a normalization processing method based on extremum mapping and piecewise stretching is constructed to perform cross-physical quantity numerical compression on the cold plate collaborative heat dissipation data. Finally, a joint algorithm combining standard deviation standardization and centering is introduced to standardize the distribution of the cold plate collaborative heat dissipation data.

[0012] Furthermore, based on the pre-processed cold plate collaborative heat dissipation data, the spatial mapping relationship between the temperature monitoring area and the cooling path is established. The specific steps for evaluating the degree of heat dissipation degradation of the two-phase cold plate are as follows: The chip is divided into multiple temperature monitoring areas. According to the structure of the two-phase cold plate and the flow channel configuration, a spatial correlation mapping relationship between the temperature monitoring area and the cooling path is established. Based on the pre-processed cold plate collaborative heat dissipation data, the coolant flow rate is multiplied by the difference between the outlet temperature and the inlet temperature, and then divided by the chip power consumption to obtain the coolant sensible heat transfer efficiency. The standard viscosity of the coolant is divided by the coolant viscosity to obtain the flowability effect. The oil film density is subtracted to obtain the microchannel patency correction. The coolant sensible heat transfer efficiency, flowability effect, and microchannel patency correction are multiplied sequentially to obtain the comprehensive heat dissipation capacity. The comprehensive heat dissipation capacity is subtracted to obtain the heat dissipation degradation assessment value.

[0013] Further, the specific steps for classifying and determining the heat dissipation status and issuing corresponding control commands based on the classification results are as follows: Real-time comparison of the heat dissipation degradation assessment value and the heat dissipation threshold is used to classify and control the operating status of the two-phase cold plates: When the heat dissipation degradation assessment value is less than or equal to the first-level heat dissipation threshold, the two-phase cold plates are determined to be in a normal heat dissipation state, and the existing heat dissipation configuration is maintained; when the heat dissipation degradation assessment value is greater than the first-level heat dissipation threshold but less than the second-level heat dissipation threshold, the two-phase cold plates are determined to be in a performance degradation state, and a progressive heat dissipation enhancement command is issued to the execution unit. Based on the incremental adjustment algorithm of the degradation gradient, the heat dissipation degradation degree of the current cycle and the previous cycle is considered. The evaluation value changes trend, and an adaptive proportional adjustment mechanism is used to adjust the coolant flow rate and vibrator frequency. When the heat dissipation degradation evaluation value is greater than or equal to the secondary heat dissipation threshold, it is determined that the two-phase cold plate is in an overheated state, and path-level local enhancement control is implemented: the real-time chip temperature of each temperature monitoring area is extracted, the temperature rise rate is calculated based on continuous time difference, abnormal chip areas with temperature rise rates exceeding the rate threshold are identified, the corresponding cooling path is marked as the priority control path, and a forced parameter refresh command is sent to the execution unit to adjust the coolant flow rate and vibrator frequency of the priority control path to the upper limit of flow rate and the upper limit of frequency, while the other cooling paths maintain the existing heat dissipation configuration.

[0014] Further, the execution unit receives and executes various control commands, and the specific steps for evaluating the regulation response status of each cooling path are as follows: The execution unit receives various control commands and sets the coolant flow rate and vibrator frequency to target values; the priority regulation path is adjusted first using a higher step level, and the other cooling paths are executed according to the normal step level; the cold plate collaborative heat dissipation data after execution is collected within a fixed sampling period, and the regulation response status of each cooling path is evaluated: the coolant flow rate is multiplied by the coolant specific heat capacity, and then multiplied by the difference between the outlet temperature and the inlet temperature to obtain the coolant sensible heat transfer term; the coolant sensible heat transfer term is divided by the chip power consumption, and the obtained ratio is subtracted to obtain the sensible heat transfer efficiency term; the coolant viscosity is subtracted from the coolant standard viscosity, and then divided by the coolant standard viscosity to obtain the flowability deviation term; the coolant sensible heat transfer efficiency term and the flowability deviation term are squared and added together to obtain the regulation response deviation evaluation value.

[0015] Furthermore, the specific steps for determining the control effect and triggering the dynamic iteration process of the time-sharing coordinated control strategy based on the control result are as follows: Real-time comparison of the control response deviation evaluation value and the control deviation threshold. When the control response deviation evaluation value is less than or equal to the control deviation threshold, the control is deemed effective, and the current coolant flow rate and vibrator frequency remain unchanged. When the control response deviation evaluation value is greater than the control deviation threshold, the control is deemed ineffective, and time-sharing coordinated control is executed: the vibrator frequency is increased first, and the coolant flow rate is increased after a delay of one sampling period; otherwise, only the vibrator frequency is increased.

[0016] Furthermore, the specific steps for continuously monitoring the evolution of oil film density to determine whether the cooling path has failed and assessing the thermal degradation trend of the two-phase cold plates are as follows: After performing time-sharing collaborative control, continuously monitor the oil film density change corresponding to each cooling path. If the oil film density still exceeds the density threshold within three consecutive sampling periods, mark the current cooling path as a heat dissipation failure path; extract all cold plate collaborative heat dissipation data from the start of the control response to the marking of the heat dissipation failure path, and count the corresponding number of sampling periods; subtract the initial coolant viscosity from the current coolant viscosity, and then divide by the product of the number of sampling periods and the standard viscosity of the coolant to obtain the coolant viscosity degradation term; for each sampling period, calculate the ratio of the difference between the chip temperature and the ambient temperature to the chip power consumption to obtain the unit power consumption thermal offset ratio; square all unit power consumption thermal offset ratios and calculate the average value based on the number of sampling periods to obtain the chip thermal load anomaly term; square the coolant viscosity degradation term and add the chip thermal load anomaly term to obtain the thermal degradation risk assessment value.

[0017] Furthermore, the specific steps for implementing the liquid path switching strategy based on the evaluation results are as follows: compare the thermal degradation risk assessment value with the degradation intensity threshold in real time. When the thermal degradation risk assessment value is less than or equal to the degradation intensity threshold, maintain the current control strategy configuration and record the current heat dissipation failure path as an acceptable risk level path. When the thermal degradation risk assessment value is greater than the degradation intensity threshold, mark the current cooling path as an unrecoverable path, implement the liquid path switching strategy, interrupt the heat dissipation task of the original cooling path, and migrate the corresponding heat load to the alternative two-phase cold plate area.

[0018] Furthermore, the specific steps for extracting path operation features to construct a strategy evolution sample set to achieve continuous optimization of the cooling strategy are as follows: Based on the marked acceptable risk paths and unrecoverable paths, extract the corresponding oil film density change, coolant viscosity evolution, and chip temperature response data to construct a control behavior feature set; calculate in real time the similarity between the control behavior features of the current cooling path and the historical path features in the control behavior feature set; if the similarity exceeds the matching threshold, generate optimized control commands based on the coolant flow rate setpoint and vibrator frequency setpoint associated with the historical path; otherwise, construct all cold plate collaborative heat dissipation data and control status of the current cooling path as strategy training samples and store them in the strategy training sample library for subsequent cooling strategy evolution and optimization.

[0019] The second aspect of this invention provides a two-phase cold plate heat dissipation control system based on vibration and flow coordinated regulation, comprising: a cold plate heat dissipation data acquisition and preprocessing module, a cold plate thermal state determination and regulation decision module, a control command execution and response evaluation module, and a cooling degradation identification and strategy optimization module, wherein: the cold plate heat dissipation data acquisition and preprocessing module is used to acquire cold plate coordinated heat dissipation data in real time, and perform timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression, and normalization processing on the cold plate coordinated heat dissipation data; the cold plate thermal state determination and regulation decision module is used to establish a spatial mapping relationship between the temperature monitoring area and the cooling path based on the preprocessed cold plate coordinated heat dissipation data. The system assesses the degree of heat dissipation degradation of the two-phase cold plate, performs heat dissipation status classification and judgment, and issues corresponding control commands based on the classification results; the control command execution and response evaluation module is used to receive and execute various control commands, evaluate the control response status of each cooling path, determine the control effect, and trigger the dynamic iteration process of the time-sharing collaborative control strategy based on the control results; the cooling degradation identification and strategy optimization module is used to continuously monitor the oil film density evolution to determine whether the cooling path has failed in heat dissipation, evaluate the thermal degradation trend of the two-phase cold plate, execute the liquid path switching strategy based on the evaluation results, and extract path operation characteristics to construct a strategy evolution sample set to achieve continuous optimization of the cooling strategy.

[0020] Beneficial effects

[0021] The present invention has the following beneficial effects:

[0022] (1) The two-phase cold plate heat dissipation control method and system based on vibration and flow synergy regulation, by constructing the spatial mapping relationship between the temperature monitoring area and the cooling path, integrating the sensible heat transfer efficiency of the coolant, the flow effect item and the microchannel patency correction item, and establishing a heat dissipation degradation assessment model, realizes the fine identification and classification control of the heat dissipation status of the cooling path, and improves the system's heat dissipation diagnosis accuracy and basic regulation response capability.

[0023] (2) The two-phase cold plate heat dissipation control method and system based on vibration and flow synergy control can identify local abnormal temperature rise areas by continuously monitoring the chip temperature evolution trend, dynamically delineate priority control paths, and rapidly enhance local heat dissipation capacity based on the time-sharing synergy control strategy of vibration and flow parameters, effectively addressing the problem of uneven heat distribution and local thermal runaway in high heat density load areas.

[0024] (3) The two-phase cold plate heat dissipation control method and system based on vibration and flow coordinated regulation constructs a regulation response deviation evaluation mechanism to determine whether the existing regulation scheme is effective, and triggers a time-sharing regulation strategy of vibration first and flow later when the response fails, realizing orderly linkage and iterative optimization of vibration frequency and cooling flow, and improving the regulation stability and strategy convergence capability of the system under complex heat load changes.

[0025] (4) The two-phase cold plate heat dissipation control method and system based on vibration and flow synergy control constructs a thermal degradation risk assessment index by real-time monitoring of oil film density and coolant viscosity evolution, determines whether there is a heat dissipation degradation trend in the cooling path, and performs liquid path switching and task migration when the degradation is severe. Combined with the strategy sample library, the system realizes the continuous evolution of cooling path management and control strategy, thereby enhancing the fault tolerance and operational reliability of the system. Attached Figure Description

[0026] Figure 1 This is a flowchart of a two-phase cold plate heat dissipation control method based on the coordinated regulation of vibration and flow.

[0027] Figure 2 This is a structural diagram of a two-phase cold plate heat dissipation control system based on the coordinated regulation of vibration and flow.

[0028] Figure 3 A graph showing the heat dissipation degradation assessment of the temperature monitoring area;

[0029] Figure 4 This is a schematic diagram of a two-phase cold plate cooling structure.

[0030] In the diagram, 1 is the liquid inlet pipe; 2 is the vibrator; 3 is the liquid outlet pipe; 4 is the two-phase cold plate; and 5 is the chip. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Please see Figures 1-4This invention provides a technical solution: a two-phase cold plate heat dissipation control method based on vibration and flow coordinated regulation, comprising: S1, real-time acquisition of cold plate coordinated heat dissipation data, and performing timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression, and normalization processing on the cold plate coordinated heat dissipation data; S2, based on the preprocessed cold plate coordinated heat dissipation data, establishing a spatial mapping relationship between the temperature monitoring area and the cooling path, evaluating the degree of heat dissipation degradation of the two-phase cold plate 4, performing heat dissipation state classification judgment, and issuing corresponding control commands according to the classification results; S3, the execution unit receives and executes various control commands, evaluates the control response state of each cooling path, determines the control effect, and triggers the dynamic iteration process of the time-sharing coordinated control strategy based on the control results; S4, continuously monitoring the oil film density evolution to determine whether the cooling path has heat dissipation failure, evaluating the thermal degradation trend of the two-phase cold plate 4, executing the liquid path switching strategy based on the evaluation results, and extracting path operation features to construct a strategy evolution sample set to achieve continuous optimization of the cooling strategy.

[0033] Specifically, the real-time acquisition of cold plate collaborative heat dissipation data, and the subsequent processing of this data including timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression, and normalization, are as follows: Real-time acquisition of cold plate collaborative heat dissipation data, including inlet temperature, outlet temperature, coolant flow rate, coolant specific heat capacity, coolant viscosity, chip power consumption, chip temperature, vibrator frequency, ambient temperature, and oil film density. The acquisition methods for each data point are as follows: Inlet and outlet temperatures are acquired using high-precision thermocouple temperature sensors installed at the inlet and outlet pipes 1 and 2 of the two-phase cold plate 4; the volumetric flow rate of the coolant is acquired by dynamically detecting the volumetric flow rate of the coolant per unit time using a micro-turbine flow sensor integrated in the coolant inlet path; the specific heat capacity of the coolant is calculated by combining the coolant physical property database with the ambient temperature and component density parameters within the current sampling period using a property fitting model; and the specific heat capacity of the coolant is obtained by installing an online rotating micro-viscosity sensor based on the relationship between the coolant shear rate and stress. Coolant viscosity; chip power consumption is obtained by periodic integration based on power management unit output data and real-time current and voltage sampling results; chip temperature is calculated by weighted algorithm after collecting local temperature point data by deploying a micro thermistor array on the surface of chip 5; vibrator frequency is obtained by transmitting frequency parameters from the vibration control unit and recording the current operating frequency in real time; ambient temperature is obtained by collecting cooling environment parameters by deploying thermistor temperature probes in the external ventilation environment of the cold plate; oil film thickness and distribution are measured by deploying capacitive thin-film sensors in the cooling path, and oil film density is calculated by combining liquid density parameters. By constructing a time synchronization method based on multi-channel timestamp alignment and sampling interval reconstruction, time calibration and data frame unification processing are performed on the cold plate collaborative heat dissipation data. A synchronization strategy including channel identifier embedding, time interpolation mapping, and nonlinear drift compensation is adopted to achieve high-precision alignment between cold plate collaborative heat dissipation data under the sampling error conditions of their respective channels, ensuring the consistency of the data foundation for collaborative analysis. An anomaly cleaning algorithm combining outlier identification and physical constraint filtering is introduced to filter and repair pulse disturbances, sensor drift, and physically inconsistent values ​​in the cold plate collaborative heat dissipation data. Outlier identification is based on a data statistical distribution model and a time-series jump detection mechanism. Physical constraints include the heat exchange correlation between coolant flow rate and chip power consumption, and the functional relationship between coolant viscosity and temperature, ensuring the physical rationality and numerical continuity of the cold plate collaborative heat dissipation data after cleaning. A smoothing and denoising method combining sliding window filtering and dynamic threshold monitoring is employed to suppress high-frequency jitter and measurement noise in the cold plate collaborative heat dissipation data. The sliding window filtering dynamically adjusts the window length to adapt to different rates of change in coolant flow rate, chip temperature, and oscillator frequency. The dynamic threshold mechanism adjusts the denoising intensity in real time based on the sampling stability coefficient, thereby improving the resolvability and stability of the cold plate collaborative heat dissipation data.By constructing a normalization method based on extremum mapping and piecewise stretching, cross-physical quantity numerical compression is performed on the cold plate collaborative heat dissipation data to ensure the applicability of the analysis under a unified dimension. A joint algorithm of standard deviation standardization and centering is introduced to standardize the distribution of the cold plate collaborative heat dissipation data. A zero-mean centering strategy centered on the moving mean is used to handle the long-term trend drift of coolant flow rate, chip power consumption, and oscillator frequency. Combined with standard deviation constraints, scaling of coolant viscosity, oil film density, and temperature variables is achieved, enabling all cold plate collaborative heat dissipation data to be input into subsequent analysis models under a unified distribution structure, thus improving model stability and generalization ability.

[0034] In this implementation plan, methods such as multi-channel timestamp alignment, sampling interval reconstruction, outlier identification and physical constraint screening, sliding window filtering and dynamic threshold monitoring, maximum and minimum value mapping and piecewise stretching, and standard deviation standardization and centering are used to comprehensively preprocess the inlet temperature, outlet temperature, coolant flow rate, coolant specific heat capacity, coolant viscosity, chip power consumption, chip temperature, vibrator frequency, ambient temperature, and oil film density in the cold plate collaborative heat dissipation data. This significantly improves the synchronization, reliability, stability, and standardization of the data, providing high-quality input for subsequent heat dissipation performance evaluation and control strategies.

[0035] Specifically, based on the pre-processed cold plate collaborative heat dissipation data, the spatial mapping relationship between the temperature monitoring area and the cooling path is established, and the specific steps for evaluating the heat dissipation degradation degree of the two-phase cold plate 4 are as follows: The chip 5 is divided into multiple temperature monitoring areas, each corresponding to a heat source distribution unit in the physical structure of the chip 5. Combined with the multi-channel flow configuration and structural parameters inside the cold plate, and based on the structural connection method of the two-phase cold plate 4, the coolant flow direction, and the flow channel topology, a one-to-one spatial correlation mapping relationship between the temperature monitoring area and the cooling path is established to achieve accurate modeling of the heat conduction path. Based on the pre-processed cold plate collaborative heat dissipation data, specifically including the inlet temperature, outlet temperature, coolant flow rate, and chip power consumption, the sensible heat transfer efficiency of the coolant is calculated: the coolant flow rate is multiplied by the temperature difference between the outlet temperature and the inlet temperature, and then the result is divided by the chip power consumption to obtain the sensible heat carrying capacity per unit power consumption. The standard viscosity value of the coolant is compared with the current coolant... Viscosity is divided to obtain a flowability impact term, which reflects the degree of deviation of the current coolant flow characteristics from the ideal state. The standard coolant viscosity value refers to the reference viscosity value measured under standard operating conditions when the coolant is in its optimal flow state, serving as the benchmark for determining the current operating viscosity. Subtracting the oil film density parameter value yields a microchannel unobstructedness correction term, used to quantify the impact of the microscopic resistance caused by the adhesion behavior of the oil film between the coolant and the channel wall on heat dissipation performance. Multiplying the coolant sensible heat transfer efficiency term, the flowability impact term, and the microchannel unobstructedness correction term sequentially yields a comprehensive heat dissipation capacity term, reflecting the overall heat exchange capacity after the coupling effect of multiple heat dissipation influencing factors. Finally, subtracting the comprehensive heat dissipation capacity term yields a heat dissipation degradation assessment value, serving as a quantitative indicator of the degree of thermal performance degradation of the cooling path corresponding to the current temperature monitoring area, providing a precise evaluation basis for subsequent state classification and strategy control.

[0036] The specific formula for calculating the assessment value of heat dissipation degradation is as follows:

[0037] ;

[0038] In the formula, This indicates the assessment value for the degree of heat dissipation degradation. Indicates coolant flow rate. Indicates the outlet temperature. Indicates the inlet temperature. Indicates chip power consumption. Indicates the viscosity of the coolant. Indicates the standard viscosity of the coolant. This indicates the oil film density.

[0039] In this embodiment, Table 1 is a data table of heat dissipation degradation assessment values, which shows the cold plate collaborative heat dissipation data and assessment results of the five temperature monitoring areas in the current control cycle, covering the values ​​of coolant flow rate, chip power consumption, coolant standard viscosity, coolant viscosity, oil film density, inlet temperature, outlet temperature and heat dissipation degradation assessment values. The specific details are as follows: In Region 1, the coolant flow rate is 3.080, the chip power consumption is 120, the standard viscosity of the coolant is 1.5, the coolant viscosity is 1.836, the oil film density is 0.211, the inlet temperature is 40°C, and the outlet temperature is 56.5°C. The calculated heat dissipation degradation assessment value is 0.73. In Region 2, the coolant flow rate is 6.387, the chip power consumption is 120, the standard viscosity of the coolant is 1.5, the coolant viscosity is 1.619, the oil film density is 0.294, the inlet temperature is 40°C, and the outlet temperature is 45.5°C. The calculated heat dissipation degradation assessment value is 0.82. In Region 3, the coolant flow rate is 7.312, the chip power consumption is 120, the standard viscosity of the coolant is 1.5, and the coolant viscosity is 1. In region 737, the oil film density is 0.170, the inlet temperature is 40°C, and the outlet temperature is 45.4°C, resulting in a calculated heat dissipation degradation assessment value of 0.76. In region 4, the coolant flow rate is 3.436 L, the chip power consumption is 120 kW, the standard viscosity of the coolant is 1.5, the coolant viscosity is 1.970, the oil film density is 0.293, the inlet temperature is 40°C, and the outlet temperature is 45.8°C, resulting in a calculated heat dissipation degradation assessment value of 0.91. In region 5, the coolant flow rate is 3.079 L, the chip power consumption is 120 kW, the standard viscosity of the coolant is 1.5, the coolant viscosity is 1.631, the oil film density is 0.193, the inlet temperature is 40°C, and the outlet temperature is 57.5°C, resulting in a calculated heat dissipation degradation assessment value of 0.67.

[0040] Table 1. Data Table of Heat Dissipation Deterioration Assessment Values

[0041]

[0042] like Figure 3 The figure shows the changes in the heat dissipation degradation assessment values ​​of five temperature monitoring zones, reflecting the thermal performance of the two-phase cold plate 4 in different zones. The solid line graph represents the heat dissipation degradation assessment values ​​for each zone, reflecting the differences in heat dissipation status between different zones. Two threshold lines are set in the figure to assist in judgment: the first-level heat dissipation threshold is a thin dashed line, used to determine the starting point of performance degradation; the second-level heat dissipation threshold is a thick dashed line, used to represent the boundary between overheating and severe degradation. It can be seen from the figure that zones 1 and 5 are in a normal heat dissipation state, indicating good heat dissipation; zones 2 and 3 are in a state of performance degradation for the two-phase cold plate 4, requiring appropriate enhanced control; zone 4 is in an overheated state, and priority control measures should be implemented immediately to prevent local thermal runaway.

[0043] In this implementation scheme, based on the established spatial mapping relationship between the temperature monitoring area and the cooling path, a multi-parameter calculation system is constructed by introducing cold plate collaborative heat dissipation data such as coolant flow rate, inlet temperature, outlet temperature, chip power consumption, coolant viscosity, coolant standard viscosity, and oil film density. This enables precise modeling of the coolant sensible heat transfer efficiency, flowability impact, and microchannel patency correction items. By constructing a comprehensive heat dissipation capability item through the product of multiple indicators, and using this as a reverse calculation, the degree of heat dissipation degradation assessment value can be obtained. This can accurately reflect the degradation trend of heat exchange performance within the temperature monitoring area, significantly improve the accuracy of heat dissipation performance analysis and the pertinence of control strategy execution, and ensure stronger heat dissipation safety and adaptability under multi-factor interference conditions.

[0044] Specifically, the steps for classifying and determining the heat dissipation status and issuing corresponding control commands based on the classification results are as follows: Based on the heat dissipation degradation assessment value corresponding to each temperature monitoring area at the current moment, the numerical relationship between the heat dissipation degradation assessment value and the first-level and second-level heat dissipation thresholds is compared in real time to accurately classify the operating status of the two-phase cold plate 4 and trigger the corresponding control response mechanism: When the heat dissipation degradation assessment value is less than or equal to the first-level heat dissipation threshold, the two-phase cold plate 4 is determined to be in a normal heat dissipation state, and all cooling paths maintain the original configuration of the current coolant flow rate setting value and the vibrator frequency setting value; when the heat dissipation degradation assessment value is greater than the first-level heat dissipation threshold and less than the second-level heat dissipation threshold, the two-phase cold plate 4 is determined to be in a state of degraded heat dissipation performance, and a progressive heat dissipation enhancement command is immediately issued to the execution unit. The command is calculated based on the incremental adjustment algorithm of the degradation gradient and dynamically integrates the heat dissipation degradation assessment values ​​corresponding to the current sampling period and the previous sampling period. The value change range, combined with the adaptive proportional adjustment mechanism, adjusts the coolant flow rate setting value and vibrator frequency setting value of the corresponding cooling path to improve heat transfer capability; when the heat dissipation degradation assessment value is greater than or equal to the secondary heat dissipation threshold, it is determined that the two-phase cold plate 4 is in an overheated state, and the path-level local enhancement control mechanism is immediately activated: the chip temperature 5 corresponding to all temperature monitoring areas is extracted in real time, and the temperature rise rate value of the chip temperature is obtained based on the continuous time difference calculation model. The chip 5 area with the temperature rise rate exceeding the set rate threshold is identified, and the corresponding cooling path is marked as the priority control path. A forced parameter refresh command is immediately sent to the execution unit to synchronously adjust the coolant flow rate setting value and vibrator frequency setting value of the priority control path to the upper limit of flow rate and the upper limit of frequency. The other cooling paths that are not determined to be abnormal maintain the current heat dissipation parameter configuration unchanged, so as to achieve priority response control of hot spots and stable maintenance of overall thermal balance.

[0045] In this implementation scheme, a classification-based control response mechanism based on the degree of heat dissipation degradation is constructed to achieve refined identification and precise control of the operating status of the two-phase cold plate 4. Based on the real-time comparison results between the degree of heat dissipation degradation assessment value and the primary and secondary heat dissipation thresholds, three operating categories are strictly divided: normal heat dissipation state, degraded heat dissipation performance state, and overheating state, ensuring that the cooling path receives differentiated control responses under different operating conditions. By issuing progressive heat dissipation enhancement commands and forced parameter refresh commands to the execution unit, adaptive fine-tuning control of the coolant flow rate setpoint and vibrator frequency setpoint under the performance degradation state is achieved, as well as upper limit refresh control of the coolant flow rate setpoint and vibrator frequency setpoint of the priority control path under the overheating state. This ensures that abnormal hot zones can be prioritized for intervention and response, effectively improving the dynamic control capability and safety fault tolerance performance of thermal management, thereby enhancing the stability, adaptability, and energy efficiency optimization level of the two-phase cold plate 4 heat dissipation under high-load continuous operation scenarios.

[0046] Specifically, the execution unit receives and executes various control commands, and the specific steps for evaluating the regulation response status of each cooling path are as follows: The execution unit receives various control commands issued based on the heat dissipation status classification judgment results, and configures the coolant flow rate setpoint and the vibrator frequency setpoint as target setpoints according to the command requirements; for cooling paths marked as priority regulation paths, priority parameters are adjusted using a higher step level, while the parameter adjustment process for other cooling paths is performed using a conventional step level; within a fixed sampling period, the execution unit synchronously collects cold plate collaborative heat dissipation data, which includes coolant flow rate, coolant specific heat capacity, outlet temperature, inlet temperature, chip power consumption, coolant viscosity, and coolant temperature. The standard viscosity was used to evaluate the control response effect of the collected cold plate collaborative heat dissipation data. First, the coolant flow rate was multiplied by the coolant specific heat capacity and then multiplied by the difference between the outlet temperature and the inlet temperature to calculate the sensible heat transfer term. Then, the sensible heat transfer term was divided by the chip power consumption, and the sensible heat transfer efficiency term was obtained by subtracting this ratio. The coolant viscosity was subtracted from the standard viscosity and then divided by the standard viscosity to obtain the flow deviation term, which reflects the trend of the coolant's dynamic performance. The sensible heat transfer efficiency term and the flow deviation term were squared respectively, and the two squared results were summed to obtain the control response deviation evaluation value used to determine the dynamic response capability and control accuracy of the cooling path.

[0047] The specific formula for calculating the control response deviation assessment value is as follows:

[0048] ;

[0049] In the formula, This represents the assessment value of the control response deviation. Indicates coolant flow rate. This indicates the specific heat capacity of the coolant. Indicates the outlet temperature. Indicates the inlet temperature. Indicates chip power consumption. Indicates the viscosity of the coolant. This indicates the standard viscosity of the coolant.

[0050] In this implementation scheme, the execution unit receives and executes control commands and dynamically analyzes the collaborative heat dissipation data of the cold plate, effectively achieving a precise quantitative assessment of the cooling path response status. The joint evaluation method using sensible heat transfer efficiency and flow deviation terms comprehensively reflects the changing trends of the coolant's heat transfer capacity and flow performance. By adjusting the response deviation evaluation value, the cooling path adjustment effect is quantitatively fed back, enabling the invention to possess not only a real-time response mechanism but also dynamic optimization capabilities. This improves the stability and adaptability of the cooling system, significantly enhancing the heat dissipation reliability and control accuracy of the two-phase cold plate 4.

[0051] Specifically, the steps for determining the control effect and triggering the dynamic iteration process of the time-sharing coordinated control strategy based on the control results are as follows: Real-time comparison of the control response deviation evaluation value and the control deviation threshold. When the control response deviation evaluation value is less than or equal to the control deviation threshold, the control strategy within the current cycle is deemed effective, maintaining the target coolant flow rate and target vibrator frequency unchanged. When the control response deviation evaluation value is greater than the control deviation threshold, the current control strategy is deemed not to have achieved the control target, and the time-sharing coordinated control stage begins: The vibrator frequency parameter is prioritized to improve the oil film density effect by enhancing microchannel disturbance, and the coolant flow rate parameter is synchronously increased after a delay of one complete sampling cycle to enhance the heat transfer effect of thermal convection. If the delay condition is not met, only the vibrator frequency parameter is increased to control the step response rhythm of the adjustment rate, achieving dynamic feedback control of the cooling path.

[0052] In this implementation scheme, by comparing the evaluation value of the control response deviation with the control deviation threshold in real time, the dynamic adjustment process of coolant flow rate and vibrator frequency is ensured to have a clear judgment mechanism, rhythm control mechanism, and target feedback mechanism. By adjusting the vibrator frequency and coolant flow rate sequentially, the system can effectively identify control lag problems in control failure scenarios and improve the response sensitivity to cold plate collaborative heat dissipation data. The above mechanisms improve the identification accuracy of the two-phase cold plate heat dissipation control system in the case of control failure, ensuring that the time-sharing collaborative control strategy has progressiveness, stability, and convergence, thereby achieving stable chip temperature control and continuous enhancement of local heat dissipation performance.

[0053] Specifically, the steps for continuously monitoring the evolution of oil film density to determine whether the cooling path has failed in heat dissipation and to assess the thermal degradation trend of the two-phase cold plate 4 are as follows: After completing the time-sharing coordinated control of coolant flow rate and vibrator frequency, the oil film density in the coordinated heat dissipation data of the cold plate is continuously collected based on a fixed sampling period mechanism, and the oil film density change sequence corresponding to each cooling path is dynamically tracked and analyzed; if the oil film density monitored in three consecutive sampling periods exceeds the oil film density threshold, the cooling path is determined to be a heat dissipation failure path and marked as a heat dissipation failure path state; subsequently, all coordinated heat dissipation data of the cold plate from the triggering time of the first control response command to the time when the cooling path is marked as a heat dissipation failure path state are extracted, and the total number of sampling periods within the time period is calculated. Based on the sampling period data, the following calculation process is performed: The current monitored coolant viscosity is subtracted from the initial coolant viscosity, and the result is then divided by the product of the number of sampling periods and the standard coolant viscosity to obtain a coolant viscosity degradation term, which characterizes the impact of coolant property degradation trends on heat transfer capacity. For each sampling period, the ratio of the difference between chip temperature and ambient temperature to chip power consumption is calculated to obtain a unit power consumption thermal offset ratio, which serves as a thermal load characteristic term for the degree of heat dissipation anomaly. Furthermore, the unit power consumption thermal offset ratio within all sampling periods is squared, and the mean is calculated based on the number of sampling periods to form a chip thermal load anomaly term, accurately depicting the degree to which the local thermal environment of chip 5 deviates from stable operating conditions. Finally, the coolant viscosity degradation term is squared and added to the chip thermal load anomaly term to form a thermal degradation risk assessment value, used to quantitatively assess the overall thermal performance degradation level of the two-phase cold plate 4 on the heat dissipation control failure path, providing a decision-making basis for the liquid path switching strategy.

[0054] The specific formula for calculating the thermal degradation risk assessment value is as follows:

[0055] ;

[0056] In the formula, This indicates the risk assessment value for thermal degradation. This indicates the current coolant viscosity. Indicates the initial coolant viscosity. Indicates the standard viscosity of the coolant. This represents the chip temperature during the i-th sampling period. This represents the ambient temperature during the i-th sampling period. This represents the chip power consumption during the i-th sampling period. Indicates the number of sampling periods.

[0057] In this implementation plan, by continuously monitoring the oil film density in the cold plate collaborative heat dissipation data, and combining indicators such as coolant viscosity, standard coolant viscosity, initial coolant viscosity, chip temperature, ambient temperature, chip power consumption, and number of sampling cycles, a heat dissipation failure path identification mechanism and thermal degradation risk assessment model based on the dynamic evolution of oil film density and multi-parameter cross-calculation are constructed. This enables accurate determination of whether the cooling path has failed and quantitative analysis of the thermal degradation trend of the two-phase cold plate, improving the early identification capability of abnormal heat dissipation states and the decision-making effectiveness of liquid circuit control strategies, and ensuring the high reliability and response accuracy of the thermal management system under complex operating conditions.

[0058] Specifically, based on the comparison between the thermal degradation risk assessment value and the degradation intensity threshold, the specific steps for implementing the liquid path switching strategy are as follows: The thermal degradation risk assessment value and the degradation intensity threshold are compared in real time. When the thermal degradation risk assessment value is less than or equal to the degradation intensity threshold, it is considered that the heat dissipation performance of the current cooling path, although showing a degradation trend, is still within a controllable range. The coolant flow rate and vibrator frequency are maintained unchanged, and the current cooling path is marked as an acceptable risk level path and degradation characteristic information is recorded. When the thermal degradation risk assessment value is greater than the degradation intensity threshold, it is considered that the heat dissipation capacity of the current cooling path is irrecoverable. It is immediately marked as an unrecoverable path, and the liquid path switching strategy is implemented. By interrupting the heat dissipation task of the current cooling path, stopping the coolant flow and vibrator 2 drive, the corresponding heat load is transferred to the other two-phase cold plate 4 areas that are not marked as unrecoverable paths, so as to achieve continuous heat dissipation and ensure the continuity and stability of thermal management.

[0059] In this implementation scheme, the thermal degradation risk of the cooling path is quantitatively determined by comparing the thermal degradation risk assessment value with the degradation intensity threshold in real time. When the thermal degradation risk assessment value is within an acceptable range, the coolant flow rate and vibrator frequency setting values ​​are kept unchanged, and the current cooling path is recorded as an acceptable risk level path. When the thermal degradation risk assessment value exceeds the degradation intensity threshold, the current cooling path is marked as an unrecoverable path, and the liquid path switching strategy is immediately executed to terminate the coolant flow and vibrator 2 drive of the cooling path. The corresponding heat load is transferred to the other two-phase cold plate 4 area that has not been marked as an unrecoverable path, thereby improving the robustness and fault tolerance of the heat dissipation configuration response, effectively avoiding the equipment stability risk caused by local overheating, and further enhancing the adaptive control capability of the heat dissipation system in the degradation evolution process.

[0060] Specifically, the steps for extracting path operation features to construct a strategy evolution sample set to achieve continuous optimization of the cooling strategy are as follows: Based on the cooling paths marked as acceptable risk paths and unrecoverable paths by comparing the thermal degradation risk assessment value with the degradation intensity threshold, oil film density change data, coolant viscosity evolution data, and chip temperature response data are extracted from the cold plate collaborative heat dissipation data associated with the cooling path. Based on these three types of data, a stable and well-defined control behavior feature set is constructed. The multi-dimensional similarity between the control behavior features of the current cooling path and the historical path features in the control behavior feature set is calculated in real time. If the similarity exceeds the matching threshold, the coolant flow rate set value and vibrator frequency set value associated with the historical path are extracted. Based on the optimization parameters, the optimized control command for the target cooling path is generated and the cooling configuration is updated. If the similarity index values ​​of the control behavior features of the current cooling path and all historical paths do not exceed the matching threshold, all cold plate collaborative heat dissipation data and corresponding control response state parameters of the current cooling path in the current control cycle are jointly constructed into a complete strategy training sample and stored in the strategy training sample library in chronological order as the data basis for cooling strategy evolution and control rule updates.

[0061] In this implementation plan, a set of regulatory behavior features is constructed, and the cooling path status is classified according to the thermal degradation risk assessment value and degradation intensity threshold. This makes the settings of coolant flow rate and vibrator frequency more consistent with historical effective regulation experience. When the cooling path features meet the similarity requirements, historical setting parameters can be accurately called to generate optimized control commands; when they do not meet the requirements, they are automatically stored as strategy evolution samples to continuously enrich training data and improve the adaptability and intelligence level of the cooling strategy.

[0062] like Figure 2As shown, the second aspect of the present invention provides a two-phase cold plate heat dissipation control system based on vibration and flow coordinated regulation, comprising: a cold plate heat dissipation data acquisition and preprocessing module, a cold plate thermal state determination and regulation decision module, a control command execution and response evaluation module, and a cooling degradation identification and strategy optimization module, wherein: the cold plate heat dissipation data acquisition and preprocessing module is used to acquire cold plate coordinated heat dissipation data in real time, and perform timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression, and normalization processing on the cold plate coordinated heat dissipation data; the cold plate thermal state determination and regulation decision module is used to establish a spatial mapping between the temperature monitoring area and the cooling path based on the preprocessed cold plate coordinated heat dissipation data. The system assesses the degree of heat dissipation degradation of the two-phase cold plate 4, performs heat dissipation status classification and judgment, and issues corresponding control commands based on the classification results. The control command execution and response evaluation module is used to receive and execute various control commands, evaluate the control response status of each cooling path, determine the control effect, and trigger the dynamic iteration process of the time-sharing collaborative control strategy based on the control results. The cooling degradation identification and strategy optimization module is used to continuously monitor the oil film density evolution to determine whether the cooling path has failed in heat dissipation, evaluate the thermal degradation trend of the two-phase cold plate 4, execute the liquid path switching strategy based on the evaluation results, and extract path operation characteristics to construct a strategy evolution sample set to achieve continuous optimization of the cooling strategy.

[0063] like Figure 4 As shown, the diagram clearly illustrates the regional division and key component layout of the two-phase cold plate 4 in this invention, providing structural support for the heat dissipation control principle. Specifically, it includes: an inlet pipe 1 through which the coolant enters the two-phase cold plate 4, serving as the starting point for the flow of the heat transfer medium; a vibrator 2 positioned on the inlet path to regulate the flow state of the coolant, enhancing local disturbance and flow uniformity, thereby achieving convection enhancement and improved heat transfer efficiency; an outlet pipe 3 through which the coolant, after absorbing sensible and latent heat, exits, completing the cooling cycle; the two-phase cold plate 4 is the core heat exchange component, internally containing multiple sets of parallel microchannel structures to absorb the chip's thermal load; and the chip 5 serves as a passive heat dissipation target, with the heat generated during operation being rapidly dissipated through the two-phase cold plate 4. This diagram uses a wireframe 3D perspective to represent the spatial relationships between the structures, highlighting the nested layout of the vibrator 2 and the flow channel system, as well as the direct contact between the chip 5 and the two-phase cold plate 4, providing a clear basis for subsequent cooling path division, control area setting, and thermal state mapping.

[0064] In this implementation plan, a closed-loop thermal management mechanism, from data acquisition to strategy optimization, is formed by constructing a two-phase cold plate heat dissipation control system based on vibration and flow coordinated regulation. The system relies on multi-source time-series data from the cold plate coordinated heat dissipation data, including inlet and outlet temperatures, coolant flow rate, coolant specific heat capacity, coolant viscosity, chip power consumption, chip temperature, vibrator frequency, ambient temperature, and oil film density. It completes the entire process in stages: data acquisition and preprocessing, thermal state determination and control decision-making, control command execution and response evaluation, and cooling degradation identification and strategy optimization. Through spatial mapping between the temperature monitoring area and the cooling path, the degree of heat dissipation degradation is accurately identified; through graded threshold comparison, heat dissipation control commands are dynamically issued to achieve adaptive adjustment of coolant flow rate and vibrator frequency; the control effect is judged based on the regulation response deviation evaluation value, and the evolution of oil film density over multiple cycles is used to determine whether heat dissipation has failed; finally, a strategy evolution sample set is constructed by combining path operation characteristics and regulation results to support the self-learning and optimization upgrade of the cooling strategy, thereby improving the real-time performance, accuracy, and intelligence of cooling control.

[0065] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0066] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation, characterized in that, Includes the following steps: S1 collects cold plate collaborative heat dissipation data in real time and performs timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression and normalization processing on the cold plate collaborative heat dissipation data; S2, based on the pre-processed cold plate collaborative heat dissipation data, establishes a spatial mapping relationship between the temperature monitoring area and the cooling path, assesses the degree of heat dissipation degradation of the two-phase cold plate, performs heat dissipation status classification judgment, and issues corresponding control commands according to the classification results; S3, the execution unit receives and executes various control commands, evaluates the regulation response status of each cooling path, determines the regulation effect, and triggers the dynamic iteration process of the time-sharing collaborative regulation strategy based on the regulation results; S4. Continuously monitor the evolution of oil film density to determine whether the cooling path has failed in heat dissipation, evaluate the thermal degradation trend of the two-phase cold plate, execute the liquid path switching strategy based on the evaluation results, and extract the path operation characteristics to construct a strategy evolution sample set in order to achieve continuous optimization of the cooling strategy. The specific steps for continuously monitoring the evolution of oil film density to determine whether the cooling path has failed and to assess the thermal degradation trend of the two-phase cold plate are as follows: After implementing time-sharing coordinated control, the oil film density change of each cooling path is continuously monitored. If the oil film density still exceeds the density threshold within three consecutive sampling cycles, the current cooling path is marked as a heat dissipation failure path. Extract all cold plate collaborative heat dissipation data from the start of the control response to the point where the heat dissipation failure path is marked, and count the corresponding number of sampling periods; Subtract the initial coolant viscosity from the current coolant viscosity, and then divide by the product of the number of sampling periods and the standard coolant viscosity to obtain the coolant viscosity degradation term; for each sampling period, calculate the ratio of the difference between the chip temperature and the ambient temperature to the chip power consumption to obtain the unit power consumption thermal offset ratio. The thermal offset ratios per unit power consumption are squared and the average value is calculated based on the number of sampling periods to obtain the chip thermal load anomaly. The thermal degradation risk assessment value is obtained by squared the coolant viscosity degradation term and then adding the chip thermal load anomaly term.

2. The two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation according to claim 1, characterized in that: The specific steps for real-time acquisition of cold plate collaborative heat dissipation data, and for performing timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression, and normalization processing on the cold plate collaborative heat dissipation data are as follows: Real-time acquisition of cold plate collaborative heat dissipation data, including inlet temperature, outlet temperature, coolant flow rate, coolant specific heat capacity, coolant viscosity, chip power consumption, chip temperature, vibrator frequency, ambient temperature, and oil film density. By constructing a timing synchronization method based on multi-channel timestamp alignment and sampling interval reconstruction, cross-module time calibration and unified data frame processing are performed on the cold plate collaborative heat dissipation data. An anomaly cleaning algorithm combining outlier identification and physical constraint screening is introduced to filter and repair pulse disturbances, sensor drift, and physical inconsistencies in cold plate collaborative heat dissipation data. A smoothing and denoising method combining sliding window filtering and dynamic threshold monitoring is used to suppress high-frequency jitter and measurement noise in cold plate collaborative heat dissipation data. A normalization processing method based on extremum mapping and piecewise stretching is constructed to perform cross-physical quantity numerical compression on cold plate collaborative heat dissipation data. A distribution standardization of cold plate collaborative heat dissipation data is performed by introducing a joint algorithm of standard deviation standardization and centering processing.

3. The two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation according to claim 1, characterized in that: The specific steps for establishing a spatial mapping relationship between the temperature monitoring area and the cooling path based on the preprocessed cold plate collaborative heat dissipation data, and evaluating the degree of heat dissipation degradation of the two-phase cold plates, are as follows: The chip is divided into multiple temperature monitoring areas, and a spatial mapping relationship between the temperature monitoring areas and the cooling path is established based on the two-phase cold plate structure and flow channel configuration. Based on the preprocessed cold plate collaborative heat dissipation data, the coolant flow rate is multiplied by the difference between the outlet temperature and the inlet temperature, and then divided by the chip power consumption to obtain the coolant sensible heat transfer efficiency; the standard viscosity of the coolant is divided by the coolant viscosity to obtain the flowability effect; and the oil film density is subtracted to obtain the microchannel patency correction. Multiply the coolant sensible heat transfer efficiency, flow effect, and microchannel patency correction term sequentially to obtain the comprehensive heat dissipation capacity term; subtract the comprehensive heat dissipation capacity term from one to obtain the heat dissipation degradation assessment value.

4. The two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation according to claim 1, characterized in that: The specific steps for classifying and determining the heat dissipation status and issuing corresponding control commands based on the classification results are as follows: Real-time comparison of heat dissipation degradation assessment values ​​and heat dissipation thresholds allows for categorized and controlled responses to the operating status of the two-phase cold plate. When the heat dissipation degradation assessment value is less than or equal to the first-level heat dissipation threshold, the two-phase cold plate is determined to be in normal heat dissipation state, and the existing heat dissipation configuration is maintained. When the heat dissipation degradation assessment value is greater than the first-level heat dissipation threshold and less than the second-level heat dissipation threshold, it is determined that the two-phase cold plate is in a state of performance degradation. A progressive heat dissipation enhancement command is issued to the execution unit. Based on the degradation gradient, the incremental adjustment algorithm adjusts the coolant flow rate and vibrator frequency according to the trend of the heat dissipation degradation assessment value in the current cycle and the previous cycle. When the heat dissipation degradation assessment value is greater than or equal to the secondary heat dissipation threshold, the two-phase cold plate is determined to be in an overheated state, and path-level local enhancement control is implemented: the real-time chip temperature of each temperature monitoring area is extracted, the temperature rise rate is calculated based on continuous time difference, abnormal chip areas with temperature rise rates exceeding the rate threshold are identified, the corresponding cooling path is marked as the priority control path, and a forced parameter refresh command is sent to the execution unit to adjust the coolant flow rate and vibrator frequency of the priority control path to the upper limit of flow rate and the upper limit of frequency, while the other cooling paths maintain the existing heat dissipation configuration.

5. The two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation according to claim 1, characterized in that: The execution unit receives and executes various control commands, and the specific steps for evaluating the regulation response status of each cooling path are as follows: The execution unit receives various control commands and sets the coolant flow rate and vibrator frequency to target values; it adjusts the priority control path first with a higher step level, and executes the other cooling paths with a normal step level. Collect cold plate collaborative heat dissipation data after execution within a fixed sampling period, and evaluate the control response status of each cooling path: multiply the coolant flow rate by the coolant specific heat capacity, and multiply by the difference between the outlet temperature and the inlet temperature to obtain the coolant sensible heat transfer term; divide the coolant sensible heat transfer term by the chip power consumption, and subtract the obtained ratio to obtain the sensible heat transfer efficiency term; subtract the coolant standard viscosity from the coolant viscosity, and then divide by the coolant standard viscosity to obtain the flowability deviation term; square the coolant sensible heat transfer efficiency term and the flowability deviation term respectively, and add them together to obtain the control response deviation evaluation value.

6. The two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation according to claim 1, characterized in that: The specific steps of determining the control effect and triggering the dynamic iteration process of the time-sharing coordinated control strategy based on the control result are as follows: The control response deviation assessment value and the control deviation threshold are compared in real time. When the control response deviation assessment value is less than or equal to the control deviation threshold, the control is deemed effective, and the current coolant flow rate and vibrator frequency are maintained unchanged. When the evaluation value of the control response deviation is greater than the control deviation threshold, the control is deemed to have failed, and time-sharing coordinated control is executed: the vibrator frequency is increased first, and the coolant flow rate is increased after a delay of one sampling period; otherwise, only the vibrator frequency is increased.

7. The two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation according to claim 1, characterized in that: The specific steps for implementing the fluid circuit switching strategy based on the evaluation results are as follows: The thermal degradation risk assessment value is compared with the degradation intensity threshold in real time. When the thermal degradation risk assessment value is less than or equal to the degradation intensity threshold, the current control strategy configuration is maintained and the current heat dissipation failure path is recorded as an acceptable risk level path. When the thermal degradation risk assessment value is greater than the degradation intensity threshold, the current cooling path is marked as an unrecoverable path, the liquid circuit switching strategy is executed, the heat dissipation task of the original cooling path is interrupted, and the corresponding heat load is migrated to the alternative two-phase cold plate area.

8. The two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation according to claim 1, characterized in that: The specific steps for constructing a strategy evolution sample set based on extracted path running features to achieve continuous optimization of the cooling strategy are as follows: Based on the labeled acceptable risk paths and unrecoverable paths, the corresponding oil film density changes, coolant viscosity evolution and chip temperature response data are extracted to construct a regulatory behavior feature set; The similarity between the current cooling path's regulation behavior characteristics and the historical path characteristics in the regulation behavior characteristic set is calculated in real time. If the similarity exceeds the matching threshold, an optimized control command is generated based on the coolant flow rate set value and vibrator frequency set value associated with the historical path. Otherwise, all cold plate collaborative heat dissipation data and regulation status of the current cooling path are constructed as strategy training samples and stored in the strategy training sample library for subsequent cooling strategy evolution and optimization.

9. A two-phase cold plate heat dissipation control system based on vibration and flow rate coordinated regulation, employing the two-phase cold plate heat dissipation control method based on vibration and flow rate coordinated regulation as described in any one of claims 1-8, characterized in that: It includes: a cold plate heat dissipation data acquisition and preprocessing module, a thermal state determination and control decision module, a control command execution and response evaluation module, and a cooling degradation identification and strategy optimization module, wherein: The cold plate heat dissipation data acquisition and preprocessing module is used to acquire cold plate collaborative heat dissipation data in real time, and perform timestamp alignment, sampling reconstruction, anomaly cleaning, noise suppression and normalization processing on the cold plate collaborative heat dissipation data. The cold plate thermal state determination and control decision module is used to establish a spatial mapping relationship between the temperature monitoring area and the cooling path based on the preprocessed cold plate collaborative heat dissipation data, assess the degree of heat dissipation degradation of the two-phase cold plates, perform heat dissipation state classification determination, and issue corresponding control commands according to the classification results. The control command execution and response evaluation module is used to receive and execute various control commands, evaluate the regulation response status of each cooling path, determine the regulation effect, and trigger the dynamic iteration process of the time-sharing collaborative regulation strategy based on the regulation result. The cooling degradation identification and strategy optimization module is used to continuously monitor the oil film density evolution to determine whether the cooling path has failed in heat dissipation, evaluate the thermal degradation trend of the two-phase cold plate, execute the liquid path switching strategy based on the evaluation results, and extract the path operation features to construct a strategy evolution sample set in order to achieve continuous optimization of the cooling strategy.

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