Waste heat recovery scheduling method and system for two-phase cold plate of data center

Abstract

The invention discloses a waste heat recovery scheduling method and system for a two-phase cold plate of a data center, and relates to the technical field of refrigeration and heat management. The waste heat recovery scheduling method and system for the two-phase cold plate of the data center comprises the following steps that S1, key thermal parameters and tail end state variables are collected through multiple types of thermal monitoring devices, and thermal state monitoring data are obtained and preprocessed; s2, on the basis of the thermal state monitoring data and in combination with an SLA configuration file, performing priority division on the heat utilization terminals, and constructing a scheduling deviation judgment mechanism to identify thermal state changes; s3, under driving of the regulation and control instruction, accessing multi-source waste heat and distributing the multi-source waste heat to each terminal scene, and evaluating a matching condition of the waste heat and a terminal demand; and S4, based on the change of the heat distribution state and the thermal state monitoring data, identifying an overload risk in combination with a multi-parameter linkage mechanism. The problems that waste heat recovery is insufficient and the energy utilization rate is limited under the light-load and multi-heat-source cooperative working condition are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigeration and heat management, and in particular to a waste heat recovery scheduling method and system for a two-phase cold plate in a data center. Background Art

[0002] With the widespread adoption of liquid cooling technology in data centers, two-phase cold plates, as core heat dissipation components for high-heat-density equipment, not only ensure stable computing power but also generate a significant amount of underutilized low- and medium-grade thermal energy. During operation, the industry is generally experimenting with extracting heat from the cold plate outlet and condensation area for heating, heating, and other energy scenarios, forming a preliminary framework for waste heat recovery.

[0003] For example, the invention patent with announcement number CN116164437B discloses an outdoor unit of a heat pump unit, comprising: a fin heat exchanger, comprising a left end plate, a right end plate and a fin, wherein a first heat exchange component and a second heat exchange component are sequentially arranged in the fin from top to bottom, the first heat exchange component comprising m first heat exchange copper tubes stacked from top to bottom, and the second heat exchange component comprising n second heat exchange copper tubes stacked from top to bottom; an air collecting pipe, wherein the first ends of the m first heat exchange copper tubes and the n second heat exchange copper tubes are all connected to the air collecting pipe; a liquid distributing component comprising a first liquid distributing pipe, a second liquid distributing pipe and a first one-way valve, the second liquid distributing pipe is connected to the first liquid distributing pipe through the first one-way valve, and the flow direction of the first one-way valve is from the second liquid distributing pipe to the first liquid distributing pipe; the first liquid distributing pipe comprises a brass distributor, the brass distributor is connected to the second ends of the m first heat exchange copper tubes and the second liquid distributing pipe through a pipeline, and the second liquid distributing pipe is connected to the second ends of the n second heat exchange copper tubes through a pipeline, and the defrosting effect is good.

[0004] For example, the invention patent with announcement number CN118932814B discloses a roadbed and pavement constant temperature system, which relates to the field of road temperature control technology and includes a ground heat exchange component located below the road surface; a buried pipe heat exchange device buried underground; a pipeline assembly; a heat pump unit, wherein the buried pipe heat exchange device is connected to the heat pump unit; the heat pump unit is connected to the ground heat exchange component; a solar device, wherein the solar device is connected to the heat pump unit; a cooling water device, wherein the cooling water device is connected to the heat pump unit; a phase change energy storage device, wherein the phase change energy storage device is connected to the solar device and the cooling water device; the phase change energy storage device can input hot water from the solar device for heat exchange and energy storage, and output the cooled water after heat exchange to the cooling water device for cold storage; the phase change energy storage device can input cooling water from the cooling water device to heat it and output the heated water to the heat pump unit through the pipeline assembly for heating. The present invention comprehensively utilizes multiple forms of energy to achieve thermal balance regulation of the roadbed and pavement in different seasons.

[0005] Most existing waste heat scheduling methods rely on preset priorities and fixed channels for heat distribution, which makes it difficult to adapt to the supply and demand imbalance caused by dynamic changes in load. In terms of thermal status identification, there are generally problems such as insufficient monitoring dimensions, low sampling granularity, and slow response, which make it impossible to achieve precise regulation based on real-time data. Many types of terminal status parameters have not yet been included in the scheduling basis, resulting in a low match between heat distribution results and actual demand, and the risk of low utilization efficiency and local heat redundancy.

[0006] In response to the above problems, there is an urgent need for a waste heat recovery scheduling method and system for a two-phase cold plate in a data center. Summary of the Invention

[0007] In response to the shortcomings of the existing technology, the present invention provides a waste heat recovery scheduling method and system for a two-phase cold plate in a data center, which solves the problems of insufficient waste heat recovery and limited energy utilization under light load and multi-heat source collaborative working conditions.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a waste heat recovery scheduling method for a two-phase cold plate in a data center, comprising the following steps: S1: collecting key thermal parameters and terminal state variables through multiple types of thermal monitoring devices, obtaining and preprocessing thermal state monitoring data; S2: based on the thermal state monitoring data, and in combination with the SLA configuration file, the heat-using terminals are prioritized, a scheduling deviation judgment mechanism is constructed to identify changes in thermal state, trigger the execution process of the control instruction, and complete priority switching, flow restriction and path adjustment; S3: under the drive of the control instruction, multi-source waste heat is connected and distributed to each terminal scene, the matching of waste heat and terminal demand is evaluated, the heating intensity and frequency are adjusted in stages, and the heat distribution list is updated; S4: based on the changes in heat distribution status and thermal state monitoring data, combined with the multi-parameter linkage mechanism, the overload risk is identified, a response judgment basis is constructed, and the heat channel switching and operation status recording process is triggered.

[0009] Furthermore, the specific steps of collecting key thermal parameters and terminal state variables through multiple types of thermal monitoring devices and obtaining and preprocessing thermal state monitoring data are as follows: collecting key thermal parameters and terminal state variables through multiple types of thermal monitoring devices to obtain thermal state monitoring data, the thermal state monitoring data including: cold plate outlet dryness, chip temperature, heat exchanger inlet temperature, heat exchanger outlet temperature, heat exchange flow, terminal flow rate, terminal inlet temperature, terminal outlet temperature, total number of terminals, water tank temperature and return water temperature; reading equipment factory data, actual measured data during installation and control interface data to obtain component structural parameters; the dryness detection device integrates capacitance sensor, microwave sensor and venturi tube pressure difference feedback, parses the dryness signal to calculate the dryness of the cold plate outlet; the thermocouple attached to the chip surface continuously senses temperature changes and converts them into real-time numerical values ​​to record the chip temperature; a digital temperature probe is embedded in the water inlet section of the plate heat exchanger, combined with the temperature gradient at the moment the fluid enters The heat exchanger inlet temperature is extracted, and the thermistor at the end of the water outlet section measures the heat exchanger outlet temperature; flow sensors are installed on the inlet and outlet sections of the heat exchanger to collect the heat exchange flow in real time, and the flow is dynamically adjusted in combination with the flow control valve; the flow rate passing through the terminal is collected in real time by the flow sensor installed on the terminal water inlet pipe; the platinum resistor embedded in the water inlet of each terminal device periodically samples and updates the terminal inlet temperature, and the temperature sensing patch in the terminal return section synchronously outputs the terminal outlet temperature; the total number of terminals is maintained in real time based on the total number of heated unit nodes registered during operation; immersion temperature sensors are deployed in the upper and lower layers of the water storage tank respectively, and the water tank temperature is extracted by monitoring the temperature difference; the digital temperature sensor installed in the return branch of the heating pipe network continuously uploads the sampling results to obtain the return water temperature; the thermal status monitoring data is uniformly standardized and normalized, and time alignment and interpolation are performed to mark the characteristics of sudden changes in the dryness of the cold plate outlet, abnormal increase in chip temperature, and sudden drop in heat exchange flow rate.

[0010] Furthermore, the specific steps of prioritizing heat-using terminals based on thermal status monitoring data and in combination with SLA configuration files are as follows: input component structural parameters and thermal status monitoring data under typical load scenarios, build a waste heat scheduling simulation model through thermal calculation and working condition simulation methods, and output efficiency safety data sets and waste heat distribution ratios; input thermal status monitoring data and simulation model calculation results, build a digital twin model through error fitting and deviation source correction algorithms, and output closed-loop calibrated twin model data; based on the efficiency safety data sets, waste heat distribution ratios and twin model data, read the cold plate outlet dryness, chip temperature, heat exchanger inlet temperature, heat exchanger outlet temperature and heat exchange flow, and The availability level and energy efficiency requirements recorded in the SLA configuration file are retrieved synchronously. The initial scheduling weight is determined based on the SLA configuration file, and restrictions are set based on the safety margin and waste heat utilization rate. When abnormal deviations are detected in the cold plate outlet dryness, chip temperature, or recovered heat, the scheduling weight is readjusted, and the configuration switch is completed within the maximum allowable switching time. Based on the current scheduling weight, the operating status of the plate heat exchanger, shell and tube heat exchanger, and water pump is controlled, and the flow of the heat exchange medium is adjusted to achieve heat allocation. Based on the current load level, recovered heat intensity, seasonal characteristics, and waste heat type, different heat-using terminals are prioritized, and the waste heat scheduling strategy is determined based on the priority ranking and terminal demand status.

[0011] Furthermore, the specific steps of constructing a scheduling deviation judgment mechanism to identify changes in thermal status are as follows: read the dryness safety critical value and the chip temperature critical value in the SLA configuration file; call the heat exchanger inlet temperature, heat exchanger outlet temperature and heat exchange flow, and calculate the current recovered heat in combination with the temperature difference and flow rate; obtain the cold plate outlet dryness and chip temperature; subtract the dryness safety critical value from the cold plate outlet dryness to obtain the deviation value between the two, and then square the deviation value to obtain the first dryness offset square value; then subtract the chip temperature critical value from the chip temperature, calculate the difference between the two, and then square it to obtain the second temperature offset square value; add the above two offset square values ​​as the numerator; then take the product of the current recovered heat and the scheduling intervention coefficient, and add it to the constant one to form the denominator; finally, divide the numerator by the denominator to obtain the strategy offset judgment value.

[0012] Furthermore, the triggering control instruction execution process completes the following specific steps of priority switching, flow restriction and path adjustment: real-time comparison of the strategy offset judgment value and the offset threshold, the offset threshold including the first-level offset threshold and the second-level offset threshold; when the strategy offset judgment value is greater than or equal to the first-level offset threshold, the execution priority is switched to chip cooling, the plate heat exchanger flow output is restricted, and the heat path to residential water heating and office buildings is suspended, retaining only the main heat flow to the small organic Rankine cycle equipment; when the strategy offset judgment value is greater than the second-level offset threshold and less than the first-level offset threshold, the current weight configuration and heat change trend are periodically read, and the distribution ratio between terminals is dynamically adjusted according to the continuous comparison results; when the strategy offset judgment value is less than or equal to the second-level offset threshold, the existing waste heat scheduling strategy is kept unchanged, and the cold plate outlet dryness, chip temperature and current recovered heat are recorded as the basis for subsequent fitting.

[0013] Furthermore, under the drive of the control instruction, the multi-source waste heat is connected and distributed to each terminal scenario, and the matching situation of the waste heat and terminal demand is evaluated. The specific steps are as follows: under the drive of the control instruction, the plate heat exchanger at the cold plate outlet and the shell and tube heat exchanger at the condenser outlet are connected respectively to realize the separation and utilization of sensible heat and latent heat, and the recovered waste heat is distributed to different heat-using terminals; the temperature difference between the terminal inlet temperature and the terminal outlet temperature is extracted, combined with the terminal flow rate, and substituted into the heat calculation relationship to calculate the actual heat absorbed by the current heat medium in the terminal to obtain the heat required by the terminal; the terminal reference temperature is extracted from the SLA configuration file, corresponding to the target heating temperature determined for different terminal types; the current recovered heat and the total number of terminals are obtained; for each terminal, the heat required by the terminal is extracted and multiplied by an adjustment factor. The adjustment factor is calculated as follows: take the absolute value of the difference between the terminal inlet temperature and the terminal reference temperature, add it to the constant 1, and finally take the inverse of the result; the product results corresponding to all terminals are summed up and used as the denominator; the current recovered heat is divided by the sum result to obtain the global heat fit value.

[0014] Furthermore, the specific steps of the hierarchical adjustment of heating intensity and frequency and updating of the heat allocation list are as follows: real-time comparison of the global heat match value and the match threshold, the match threshold includes a first-level match threshold and a second-level match threshold; when the global heat match value is greater than or equal to the first-level threshold, maintain heating for high-priority terminals, increase the heating frequency of medium-priority terminals, and adjust the scheduling priority field to recycling priority; when the global heat match value is greater than the second-level match threshold and less than the first-level match threshold, reduce the heating frequency of medium and low-priority terminals, re-sort the heat allocation list, switch the opening and closing of some terminal heating valves according to the monitoring data cycle, and skip the current allocation when the terminal inlet temperature is higher than the terminal reference temperature; when the global heat match value is less than or equal to the second-level match threshold, suspend heating to the low-match terminal, clear the heat allocation list and record the abnormal terminal number, adjust the scheduling priority field to chip cooling priority, and if the global heat match value is lower than the lower limit of the global heat match value in three or more consecutive scheduling cycles, call the redundant heat sources of other nodes in the park.

[0015] Furthermore, the specific steps of identifying overload risks based on the changes in the heat distribution status and thermal status monitoring data and combining the multi-parameter linkage mechanism to construct a response judgment basis are as follows: based on the changes in the heat distribution status and thermal status monitoring data, determine in real time whether the overload trigger condition is met; obtain the water tank temperature, return water temperature, chip temperature and cold plate outlet dryness; multiply the water tank temperature by the water tank weighting coefficient to obtain the water tank temperature rise influence term, and add it to the return water temperature to form a numerator; add the chip temperature and the temperature tolerance constant to form a denominator; divide the numerator by the denominator to obtain the temperature-related factor; subtract the cold plate outlet dryness from one to obtain the difference, and multiply the difference by the temperature-related factor to obtain the final abnormal response trigger value.

[0016] Furthermore, the specific steps of the process of triggering heat channel switching and operating status recording are as follows: real-time comparison of the abnormal response trigger value and the trigger threshold; when the abnormal response trigger value is greater than or equal to the trigger threshold, the main heat flow channel for domestic hot water and residential heating is closed, and the bypass valve is opened to guide excess heat to the heat exhaust branch, while retaining the heat path to the small organic Rankine cycle equipment, and starting high-frequency data acquisition, recording the maximum values ​​of the cold plate outlet dryness and chip temperature every second; when the abnormal response trigger value is less than the trigger threshold, the existing heat channel is kept unchanged, the water tank temperature, return water temperature and chip temperature are written to the cache, and the temperature change trend is continuously tracked.

[0017] A second aspect of the present invention provides a waste heat recovery and scheduling system for a two-phase cold plate in a data center, comprising: a data acquisition and monitoring module, a waste heat scheduling and control module, a heat transfer and utilization module, and a safety response linkage module, characterized in that: the data acquisition and monitoring module is used to collect key thermal parameters and terminal state variables through multiple types of thermal monitoring devices, and obtain and preprocess thermal state monitoring data; the waste heat scheduling and control module is used to prioritize heat-using terminals based on the thermal state monitoring data and in combination with an SLA configuration file, establish a scheduling deviation judgment mechanism to identify changes in thermal state, trigger the execution process of control instructions, and complete priority switching, flow restriction, and path adjustment; the heat transfer and utilization module is used to, driven by control instructions, access multi-source waste heat and distribute it to each terminal scenario, evaluate the matching of waste heat with terminal demand, hierarchically adjust the heating intensity and frequency, and update the allocation list; the safety response linkage module is used to identify overload risks based on changes in heat distribution status and thermal state monitoring data in combination with a multi-parameter linkage mechanism, establish a response judgment basis, and trigger the heat channel switching and operation status recording process.

[0018] The present invention has the following beneficial effects: (1) The present invention uses multiple types of thermal monitoring devices to collect the cold plate outlet dryness, chip temperature, heat exchanger temperature difference, terminal temperature and flow and other parameters in real time, and performs standardization, normalization and time alignment processing, so that the thermal status data can maintain high accuracy and consistency before entering the scheduling calculation, providing a reliable real-time data basis for subsequent waste heat distribution and safety judgment.

[0019] (2) The present invention dynamically calculates the scheduling weight based on the collected thermal status data and SLA configuration file, and triggers priority switching, flow restriction and path adjustment in combination with the strategy offset judgment value, thereby realizing real-time control of multiple heat sources and multiple terminals, so that heat distribution can automatically adapt to different operating conditions as the load changes.

[0020] (3) Driven by control instructions, the present invention combines the terminal inlet temperature, outlet temperature and flow rate to calculate the heat required by the terminal, generates a global heat matching value, and makes hierarchical adjustments to the heating intensity, execution frequency and heat allocation list, thereby forming a dynamically variable heat allocation strategy between different terminals and improving the matching of waste heat utilization.

[0021] (4) The present invention calculates the abnormal response trigger value through a multi-parameter linkage mechanism, and automatically executes heat channel switching, bypass heat exhaust and operation status recording operations when the threshold is exceeded. This enables the system to efficiently recover and utilize waste heat while quickly executing safety protection before the overload risk occurs, thereby maintaining overall operational stability.

[0022] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a method for scheduling waste heat recovery of a two-phase cold plate in a data center according to the present invention; Figure 2 This is a structural diagram of a waste heat recovery and scheduling system for a two-phase cold plate in a data center according to the present invention; Figure 3 This is a trend diagram of the strategy deviation judgment value of the present invention; Figure 4 It is a working principle diagram of the present invention; Figure 5 This is a waste heat distribution flow chart of the present invention.

[0024] In the figure, 1. heat exchanger; 2. office building; 3. residential building; 4. generator; 5. server; 6. two-phase cold plate; 7. capacitive sensor; 8. microwave sensor; 9. Venturi tube. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0026] See also Figure 1-Figure 5 , an embodiment of the present invention provides a technical solution: a waste heat recovery scheduling method for a two-phase cold plate in a data center, comprising the following steps: S1: collecting key thermal parameters and terminal state variables through multiple types of thermal monitoring devices, obtaining and preprocessing thermal state monitoring data; S2: based on the thermal state monitoring data, and in combination with the SLA configuration file, prioritizing the heat-using terminals, building a scheduling deviation judgment mechanism to identify thermal state changes, triggering the control instruction execution process, and completing priority switching, flow restriction and path adjustment; S3: driven by the control instruction, accessing multi-source waste heat and distributing it to each terminal scenario, evaluating the matching of waste heat and terminal demand, adjusting the heating intensity and frequency in stages, and updating the heat distribution list; S4: based on the heat distribution status and the changes in the thermal state monitoring data, combining the multi-parameter linkage mechanism to identify the overload risk, building a response judgment basis, and triggering the heat channel switching and operation status recording process.

[0027] Specifically, multiple thermal monitoring devices are used to collect key thermal parameters and terminal state variables, acquiring and preprocessing thermal state monitoring data. The specific steps are as follows: Multiple thermal monitoring devices distributed at each node simultaneously collect the cold plate outlet dryness, chip temperature, heat exchanger inlet temperature, heat exchanger outlet temperature, heat exchanger flow rate, terminal flow rate, terminal inlet temperature, terminal outlet temperature, total number of terminals, water tank temperature, return water temperature, and other core parameters. Corresponding component structural parameters are extracted by combining equipment factory documentation, actual installation data, and control interface information. The dryness detection device integrates the pressure differential feedback from a capacitive sensor 7, a microwave sensor 8, and a Venturi tube 9, analyzing and calculating the cold plate outlet dryness. Thermocouples attached to the chip surface continuously sense temperature changes and convert them into real-time numerical values ​​to record the chip temperature. A digital temperature probe is embedded in the inlet section of the plate heat exchanger to determine the inlet temperature based on the temperature gradient at the moment the fluid enters. A thermistor at the outlet section measures the outlet temperature. Flow sensors installed in the inlet and outlet sections of the heat exchanger collect real-time flow data and are linked to the flow control valve for dynamic regulation. The flow sensor of the terminal water inlet pipe collects the flow rate in real time, the platinum resistance of each terminal water inlet periodically samples and updates the inlet temperature, and the return water section temperature sensing patch synchronously outputs the outlet temperature; the total number of heated unit nodes registered during operation maintains the total number of terminals in real time. The immersion temperature sensors in the upper and lower layers of the water storage tank extract the water tank temperature by monitoring the temperature difference, and the digital temperature sensor of the return water branch of the heating pipe network continuously uploads the sampling results to obtain the return water temperature. All collected data are uniformly standardized and normalized, and time-aligned and interpolated. The trend characteristics of the detected sudden change in the dryness of the cold plate outlet, abnormal increase in chip temperature, and sudden drop in heat exchange flow are marked to provide a stable and accurate data basis for subsequent scheduling and control.

[0028] In this implementation, multiple thermal monitoring devices are used to collect dryness, temperature, flow rate, and other key parameters of cold plates, heat exchangers, terminals, and heat storage units. Component structural parameters are then derived by combining equipment information with measured data. Multi-source detection and real-time monitoring ensure full operational coverage. The collected results are standardized, normalized, and time-aligned, and anomalies are annotated, providing an accurate and reliable data foundation for waste heat distribution and safety control.

[0029] Specifically, based on the thermal status monitoring data and in combination with the SLA configuration file, the heat-using terminals are prioritized. The specific steps are as follows: input the component structural parameters and real-time thermal status monitoring data obtained under typical load scenarios, build a waste heat scheduling simulation model through thermal calculation and working condition simulation methods, generate an efficiency safety data set containing efficiency, safety margin and other indicators and the corresponding waste heat distribution ratio; then compare the thermal status monitoring data with the simulation model output results, use the error fitting and deviation source correction algorithm to build a digital twin model, and output the closed-loop calibrated twin model data. Based on the efficiency safety data set, waste heat distribution ratio and twin model data, read the cold plate outlet dryness, chip temperature, heat exchanger inlet and outlet temperature and heat exchange flow, and simultaneously retrieve the availability level and energy efficiency requirements recorded in the SLA configuration file; determine the initial scheduling weight based on this information, and set the constraint range under the premise of meeting the safety margin and waste heat utilization rate constraints. When abnormal deviations are detected in the cold plate outlet dryness, chip temperature or recovered heat, the scheduling weight is adjusted in a timely manner and the configuration update is completed within the specified maximum switching time. According to the updated scheduling weight, the operating status of the plate heat exchanger, shell and tube heat exchanger and water pump is controlled, and the flow of the heat exchange medium is dynamically adjusted to complete the heat distribution. Based on the current load level, recovered heat intensity, seasonal characteristics and waste heat type, different heat-using terminals are prioritized, and the final waste heat scheduling strategy is determined based on the priority order and the actual demand status of the terminal.

[0030] In this implementation plan, terminal priorities are dynamically divided based on thermal status monitoring data and SLA configuration files, and scheduling weights are calculated through simulation and digital twin models to maintain a balance between safety margin and waste heat utilization. When parameters are abnormal, the configuration is adjusted and equipment operation is controlled in a timely manner, so that heat distribution can quickly adapt to load changes and generate a highly matched scheduling strategy.

[0031] Specifically, a scheduling deviation judgment mechanism is constructed to identify changes in thermal status. The specific steps are as follows: read the preset dryness safety critical value and chip temperature critical value in the SLA configuration file as the scheduling safety reference baseline; call the heat exchanger inlet temperature, outlet temperature and heat exchange flow data, and calculate the current recovered heat by combining the temperature difference and flow rate; synchronously obtain the cold plate outlet dryness and chip temperature, subtract the dryness safety critical value from the cold plate outlet dryness to obtain the deviation value and square it to form the first dryness offset square value; then subtract the chip temperature critical value from the chip temperature to calculate the difference and square it to obtain the second temperature offset square value; add the two offset square values ​​together as the numerator; take the product of the current recovered heat and the scheduling intervention coefficient, and add it to the constant 1 to form the denominator; by analyzing the coupling relationship between the heat recovery intensity and the strategy adjustment amplitude during the scheduling strategy training process, the scheduling intervention coefficient is obtained by fitting, with a value range of 0.005-0.05; finally, divide the numerator by the denominator to obtain the strategy offset judgment value reflecting the degree of deviation of the current thermal status, providing a quantitative basis for subsequent scheduling switching and strategy adjustment.

[0032] The specific calculation method of the policy deviation judgment value is as follows: ; Where, Indicates the policy offset judgment value, Indicates the dryness of the cold plate outlet, represents the critical dryness safety value, Indicates the current recovered heat. Indicates the chip temperature, Indicates the critical value of chip temperature, represents the scheduling intervention coefficient.

[0033] As shown in Table 1, this is a data table of strategy offset judgment values ​​provided in an embodiment of the present application. In this embodiment, the dryness at the cold plate outlet of record 1 is set to 0.80, the dryness safety threshold is set to 0.65, the chip temperature is set to 46.00, the chip temperature threshold is set to 45.00, and the current recovered heat is set to 10; the dryness at the cold plate outlet of record 2 is set to 0.95, the dryness safety threshold is set to 0.65, the chip temperature is set to 46.10, the chip temperature threshold is set to 45.00, and the current recovered heat is set to 15; the dryness at the cold plate outlet of record 3 is set to 0.90, the dryness safety threshold is set to 0.65, The chip temperature is set to 46.20, the chip temperature critical value is set to 45.00, and the current recovered heat is set to 15; the cold plate outlet dryness of record 4 is set to 0.67, the dryness safety critical value is set to 0.65, the chip temperature is set to 46.30, the chip temperature critical value is set to 45.00, and the current recovered heat is set to 15; the cold plate outlet dryness of record 5 is set to 0.70, the dryness safety critical value is set to 0.65, the chip temperature is set to 45.90, the chip temperature critical value is set to 45.00, and the current recovered heat is set to 8.

[0034] Table 1 Strategy offset judgment value data table

[0035] like Figure 3 As shown, it is a trend graph of the policy offset judgment value provided by the embodiment of the present application. According to the data in the image and the table, the set first-level offset threshold is 1.1, the second-level offset threshold is 0.9, and the policy offset judgment values ​​of the five groups of records fluctuate between 0.70 and 1.30, showing an overall trend of first rising and then falling. The policy offset judgment value of record 4 is 1.30, which exceeds the first-level offset threshold, indicating that the current thermal state has obviously deviated from the scheduling balance and priority switching and flow restriction operations need to be performed; the policy offset judgment value of record 3 is 1.16, which is also higher than the first-level offset threshold, indicating that there is a need for scheduling adjustment; the policy offset judgment value of record 2 is 1.00, which is between the second-level and first-level offset thresholds, and the allocation ratio needs to be dynamically adjusted according to the trend; the policy offset judgment values ​​of record 1 and record 5 are 0.85 and 0.70 respectively, both of which are lower than the second-level offset threshold, indicating that the operating state is relatively stable. This figure can intuitively reflect the degree of offset of the scheduling state and provide a reference basis for triggering priority switching, adjusting heat distribution and executing protective measures.

[0036] In this implementation, the degree of deviation of the thermal state from the safety baseline is quantified by calculating the strategy offset judgment value, so that the system can accurately identify scheduling state changes based on changes in dryness, temperature and recovered heat, and provide a basis for subsequent strategy switching and heat allocation adjustment.

[0037] Specifically, the control instruction execution process is triggered to complete priority switching, flow restriction and path adjustment. The specific steps are as follows: real-time monitoring of the strategy offset judgment value and comparison with the preset first-level and second-level offset thresholds; when the judgment value is greater than or equal to the first-level threshold, the scheduling priority is immediately switched to the chip cooling mode, limiting the flow output of the plate heat exchanger to not exceed the safety range, and at the same time suspending the heat path to the residential water heating and office building 2, retaining only the main heat flow to the small organic Rankine cycle equipment; when the judgment value is between the second-level threshold and the first-level threshold, periodically read the current scheduling weight configuration and heat change trend, and combine the continuous comparison results to dynamically adjust the heat allocation ratio of different terminals; when the judgment value is less than or equal to the second-level threshold, maintain the existing waste heat scheduling strategy unchanged, and record the cold plate outlet dryness, chip temperature and current recovered heat as reference data for subsequent fitting and optimization.

[0038] In this implementation plan, by comparing the strategy offset judgment value with the preset threshold, it is determined whether it is necessary to switch priorities, limit and adjust heat distribution, and dynamically modify the output path and distribution ratio when the conditions are met; when no adjustment is required, the original strategy is maintained, and key data on dryness, temperature and recovered heat are recorded to provide support for subsequent allocation optimization.

[0039] Specifically, driven by control instructions, multiple sources of waste heat are connected and distributed to each terminal scenario to evaluate the matching of waste heat with terminal demand. The specific steps are as follows: under the action of the instruction, the plate heat exchanger at the cold plate outlet and the shell and tube heat exchanger at the condenser outlet are connected respectively to realize the separation and recovery of sensible heat and latent heat, and the resulting waste heat is distributed to different heat-consuming terminals according to type and demand; the temperature difference between the inlet and outlet of each terminal is extracted, combined with the real-time flow rate, and substituted into the heat calculation formula to obtain the current heat absorbed by the terminal as the heat required by the terminal; the terminal reference temperature is called from the SLA configuration file, and the target heating temperature is determined according to the terminal type; the current total recovered heat and the total number of terminals are obtained simultaneously; for each terminal, its required heat is multiplied by the adjustment factor, which is calculated as the absolute value of the difference between the terminal inlet temperature and the reference temperature plus one and then taken the inverse; the sum of the product results of all terminals is used as the denominator, and the current recovered heat is divided by this value to obtain a global heat fit value reflecting the overall supply and demand matching degree.

[0040] The specific calculation method of the global heat fit value is: ; Where, Represents the global heat fit value, Indicates the current recovered heat. Indicates the heat required by the terminal, represents the terminal inlet temperature, Indicates the terminal reference temperature, Indicates the total number of terminals.

[0041] In this implementation plan, the multi-source waste heat recovered by the cold plate and condenser is integrated under the action of the control instructions, and the actual absorbed heat of each terminal based on the temperature difference and flow is calculated respectively, and the adjustment factor is generated in combination with the reference temperature; the results are summarized and the global heat fit value is calculated to quantify the overall matching degree between the current waste heat supply and the needs of each terminal, providing a basis for subsequent heat distribution adjustments.

[0042] Specifically, the heating intensity and frequency are adjusted in stages and the heat allocation list is updated. The specific steps are as follows: real-time monitoring and comparison of the global heat matching value with the preset first-level and second-level matching thresholds; when the matching value is greater than or equal to the first-level threshold, the stable heating of high-priority terminals is maintained, while the heating frequency of medium-priority terminals is increased, and the scheduling priority field is switched to recycling priority; when the matching value is between the second-level and first-level thresholds, the heating frequency of medium- and low-priority terminals is reduced, the heat allocation list is reordered, and the opening and closing of the heating valves of some terminals are switched according to the monitoring data cycle. When it is detected that the terminal inlet temperature is higher than the reference temperature, the current allocation can be skipped; when the match value is less than or equal to the secondary threshold, stop supplying heat to the low-match terminal, clear the heat allocation list and record its number, and adjust the scheduling priority field to chip cooling priority; if the global heat match value is lower than the lower limit of the global heat match value for three or more consecutive scheduling cycles, the redundant heat sources of other nodes in the park will be called for supplementation. The lower limit of the global heat match value refers to the critical reference value used to calibrate the minimum stable matching level in the global heat match value extracted under historical supply and demand balance conditions.

[0043] In this implementation plan, based on the comparison results of the global heat compatibility value and the threshold, the heating intensity and execution frequency of terminals with different priorities are adjusted in stages, and the heat allocation list is reordered and cleared when necessary; when the compatibility is high, high priority heating is maintained and the medium priority frequency is increased; when the compatibility is medium, medium and low priority heating are reduced and the allocation order is optimized; when the compatibility is low, heating of low-compatibilty terminals is suspended and chip cooling priority is switched; when the low value state continues, the redundant heat source of the park can be called to supplement the supply, thereby ensuring the adaptability of heat distribution to terminal needs.

[0044] Specifically, based on the changes in heat distribution status and thermal status monitoring data, combined with the multi-parameter linkage mechanism, overload risks are identified and a response judgment basis is constructed. The specific steps are as follows: First, based on the real-time changes in heat distribution status and various thermal status monitoring data, it is determined whether the preset overload trigger condition is currently reached; then the water tank temperature, return water temperature, chip temperature, cold plate outlet dryness and other key parameters are obtained, and the water tank temperature is multiplied by the water tank weighting coefficient to obtain the water tank temperature rise influence term, and added to the return water temperature to form the numerator. By regression fitting the domestic hot water temperature rise rate The water tank weighting coefficient is obtained by the functional relationship between the rate and the change amplitude of the water tank temperature, with a value range of 0.3-1.5; the chip temperature and the temperature tolerance constant are added to form the denominator, and the temperature tolerance constant is obtained by fitting the historical minimum stable fluctuation range of the chip temperature under low load conditions, with a value range of 0.5-2.0; the temperature-related factor is calculated by dividing the numerator by the denominator, and the difference is obtained by subtracting the dryness at the cold plate outlet from one. The difference is multiplied by the temperature-related factor to obtain the final abnormal response trigger value, providing a quantitative judgment basis for the execution of subsequent overload protection actions.

[0045] The specific calculation method of the abnormal response trigger value is: ;

[0046] Where, Indicates the abnormal response trigger value, Indicates the water tank temperature. represents the water tank weighting coefficient, Indicates the return water temperature, Indicates the chip temperature, Indicates the dryness of the cold plate outlet, Represents the temperature tolerance constant.

[0047] In this implementation plan, the abnormal response trigger value is calculated through multi-parameter linkage, and the water tank temperature, return water temperature, chip temperature, cold plate outlet dryness and other key variables are comprehensively quantified to accurately reflect the overload risk level under the current operating state, providing a reliable basis for triggering overload protection and executing corresponding control actions.

[0048] Specifically, the process of triggering heat channel switching and operating status recording involves the following steps: real-time monitoring and comparison of the abnormal response trigger value with the preset trigger threshold. When the trigger value is greater than or equal to the threshold, the main heat flow channel for domestic hot water and residential heating is immediately closed, and a bypass valve is opened to direct excess heat into the heat exhaust branch, while maintaining normal operation of the heat path leading to the small organic Rankine cycle device. In this state, high-frequency data acquisition is initiated, recording the maximum values ​​of the cold plate outlet dryness and chip temperature once per second for subsequent analysis and judgment. When the trigger value is below the threshold, the existing heat channel remains unchanged, and the water tank temperature, return water temperature, and chip temperature are cached. Their changing trends are continuously monitored and recorded to dynamically monitor the operating status.

[0049] In this implementation plan, a real-time comparison between the abnormal response trigger value and the threshold is used to determine whether to execute the heat channel switching; when the threshold is exceeded, the domestic hot water and resident heating pathways are closed and the bypass heat dissipation is opened, while the small organic Rankine cycle equipment is retained for heating, and key temperature parameters are recorded; when the threshold is not reached, the pathway is kept unchanged and the temperature changes are continuously tracked to provide data support for subsequent operation analysis and regulation.

[0050] like Figure 2 As shown, it is a structural diagram of a waste heat recovery scheduling system for a two-phase cold plate of a data center provided by an embodiment of the present application. The waste heat recovery scheduling system for a two-phase cold plate of a data center provided by an embodiment of the present application applies a waste heat recovery scheduling method for a two-phase cold plate of a data center, including: a data acquisition and monitoring module, a waste heat scheduling control module, a heat energy transmission and utilization module and a safety response linkage module: the data acquisition and monitoring module collects the cold plate outlet dryness, chip temperature, heat exchanger temperature difference, flow rate and terminal status and other key parameters in real time through multiple types of thermal monitoring devices, and combines standardization, normalization and time alignment processing to form usable thermal status monitoring data; the waste heat scheduling control module is based on Based on the above data and combined with the SLA configuration file, dynamic priority is assigned to each heat-using terminal, and a scheduling deviation judgment mechanism is established to identify changes in operating status. Control instructions are triggered to complete priority switching, flow restriction and channel adjustment. Under the action of control instructions, the heat energy transmission and utilization module accesses multi-source waste heat from the cold plate and condenser, distributes it to different terminal scenarios, and adjusts the heating intensity and execution frequency in grades according to the matching degree between waste heat and terminal demand, and updates the allocation list at the same time. The safety response linkage module identifies overload risks based on changes in heat distribution status and thermal status monitoring data, combined with a multi-parameter linkage mechanism, to form a response judgment basis and, when necessary, execute heat channel switching and operating status recording operations.

[0051] In this implementation plan, through the synergistic effect of data collection and monitoring, waste heat scheduling and control, thermal energy transmission and utilization, and safety response linkage, full process management from thermal parameter acquisition, terminal priority determination, waste heat matching and allocation to overload risk protection is achieved, so that waste heat distribution can dynamically adapt to changes in operating status and improve heat utilization efficiency while ensuring heat dissipation safety.

[0052] like Figure 4 The figure shows the working principle diagram of the embodiment of the present application. As can be seen from the image, the two-phase cold plate 6 is connected to the server 5 to absorb the heat generated during the operation of the chip. The dryness detection link is completed by the capacitive sensor 7, microwave sensor 8 and venturi tube 9 to obtain and evaluate the working medium state at the outlet of the cold plate; after the heat conversion is completed by the heat exchanger 1, the waste heat can be transported to different terminals of the office building 2, residential building 3 and generator 4 respectively, realizing the utilization of multiple scenarios such as building heating, domestic hot water and low-voltage power generation. This figure can intuitively reflect the overall process of waste heat from collection, detection, heat exchange to multi-terminal distribution, providing a structural basis for subsequent heat regulation and energy efficiency evaluation.

[0053] like Figure 5 The figure shows a waste heat distribution flow chart for an embodiment of the present application. As can be seen from the image, the steam heat generated by the cold plate outlet is transferred to the office building after passing through the high-temperature heat exchange unit. The heat released by the condenser is then transferred to the residential water / heating end and a small organic Rankine cycle device after passing through the low-temperature heat exchange unit. This enables the distribution and utilization of waste heat in multiple terminals such as office, living, and power generation. This diagram intuitively illustrates the flow of waste heat from its source to different usage scenarios, providing a reference for the formulation of heat allocation strategies.

[0054] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0055] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the content of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for scheduling waste heat recovery of a two-phase cold plate in a data center, characterized in that: The following steps are involved: S1: Collect key thermal parameters and terminal state variables through multiple types of thermal monitoring devices, and obtain and preprocess thermal state monitoring data; S2: Based on thermal status monitoring data and combined with SLA configuration files, heat users are prioritized and a scheduling deviation judgment mechanism is established to identify thermal status changes, trigger the execution of control instructions, and complete priority switching, flow restriction, and path adjustment. S3: Driven by control instructions, it connects to multiple sources of waste heat and distributes it to various terminal scenarios. It evaluates the match between waste heat and terminal demand, adjusts the heating intensity and frequency in stages, and updates the heat allocation list. S4: Based on the changes in heat distribution status and thermal status monitoring data, combined with the multi-parameter linkage mechanism, overload risks are identified, response judgment basis is established, and the heat channel switching and operation status recording process are triggered.

2. The method for scheduling waste heat recovery of a two-phase cold plate in a data center according to claim 1, characterized in that: The specific steps of collecting key thermal parameters and terminal state variables through multiple types of thermal monitoring devices and obtaining and preprocessing thermal state monitoring data are as follows: Key thermal parameters and terminal state variables are collected through various thermal monitoring devices to obtain thermal status monitoring data. The thermal status monitoring data includes: cold plate outlet dryness, chip temperature, heat exchanger inlet temperature, heat exchanger outlet temperature, heat exchange flow rate, terminal flow rate, terminal inlet temperature, terminal outlet temperature, total number of terminals, water tank temperature, and return water temperature. Component structural parameters are obtained by reading equipment factory data, actual measurement data during installation, and control interface data. The dryness detection device integrates a capacitive sensor, a microwave sensor, and Venturi tube pressure differential feedback to analyze the dryness signal and calculate the dryness at the cold plate outlet. A thermocouple attached to the chip surface continuously senses temperature changes and converts them into real-time numerical values ​​to record the chip temperature. A digital temperature probe is embedded in the inlet section of the plate heat exchanger to extract the heat exchanger inlet temperature based on the temperature gradient at the moment the fluid enters the heat exchanger, while a thermistor at the end of the outlet section measures the heat exchanger outlet temperature. Flow sensors are installed in the inlet and outlet sections of the heat exchanger to collect real-time heat exchange flow, which is dynamically adjusted by a flow control valve. Flow sensors installed in the terminal water inlet pipes collect real-time terminal flow. Platinum resistance resistors embedded in the water inlet of each terminal device periodically sample and update the terminal inlet temperature, and temperature sensors in the terminal return section simultaneously output the terminal outlet temperature. The total number of terminals is maintained in real time based on the total number of registered heated unit nodes. Immersed temperature sensors are deployed in the upper and lower layers of the water storage tank to monitor temperature differences and extract the tank temperature. Digital temperature sensors installed in the return branch of the heating network continuously upload sampling results to obtain the return water temperature. Standardization and normalization are uniformly performed on the thermal status monitoring data, and time alignment and interpolation are performed to mark the characteristics of sudden changes in the dryness at the cold plate outlet, abnormal increases in chip temperature, and sudden drops in heat exchange flow.

3. The method for scheduling waste heat recovery of a two-phase cold plate in a data center according to claim 1, characterized in that: The specific steps for prioritizing heat-using terminals based on thermal status monitoring data and combined with the SLA configuration file are as follows: Input component structural parameters and thermal status monitoring data under typical load scenarios, build a waste heat scheduling simulation model through thermal calculation and working condition simulation methods, and output an efficiency safety data set and waste heat distribution ratio; Input thermal state monitoring data and simulation model calculation results, build a digital twin model through error fitting and deviation source correction algorithm, and output closed-loop calibrated twin model data; Based on the efficiency and safety data set, waste heat distribution ratio and twin model data, the cold plate outlet dryness, chip temperature, heat exchanger inlet temperature, heat exchanger outlet temperature and heat exchange flow are read, and the availability level and energy efficiency requirements recorded in the SLA configuration file are simultaneously retrieved; the initial scheduling weight is determined based on the SLA configuration file, and the restriction conditions are set on the basis of meeting the safety margin and waste heat utilization rate; when abnormal deviations are detected in the cold plate outlet dryness, chip temperature or recovered heat, the scheduling weight is readjusted and the configuration switching is completed within the maximum allowable switching time; according to the current scheduling weight, the operating status of the plate heat exchanger, shell and tube heat exchanger and water pump is controlled, and the flow of the heat exchange medium is adjusted to achieve heat allocation; based on the current load level, recovered heat intensity, seasonal characteristics and waste heat type, different heat-using terminals are prioritized, and the waste heat scheduling strategy is determined based on the priority ranking and terminal demand status.

4. The method for scheduling waste heat recovery of a two-phase cold plate in a data center according to claim 1, characterized in that: The specific steps of constructing a scheduling deviation judgment mechanism to identify thermal state changes are as follows: Read the dryness safety threshold and chip temperature threshold from the SLA configuration file; call the heat exchanger inlet temperature, heat exchanger outlet temperature, and heat exchange flow rate, and calculate the current recovered heat by combining the temperature difference and flow rate; obtain the cold plate outlet dryness and chip temperature; subtract the dryness safety threshold from the cold plate outlet dryness to obtain the deviation between the two, and then square the deviation to obtain the first dryness offset square value; then subtract the chip temperature threshold from the chip temperature, calculate the difference between the two, and square it again to obtain the second temperature offset square value; add the above two offset square values ​​as the numerator; Then take the product of the current recovered heat and the scheduling intervention coefficient, and add it to the constant 1 to form the denominator; finally, divide the numerator by the denominator to obtain the strategy offset judgment value.

5. The method for scheduling waste heat recovery of a two-phase cold plate in a data center according to claim 1, characterized in that: The specific steps of triggering the control instruction execution process to complete priority switching, flow restriction and path adjustment are as follows: The strategy offset judgment value and the offset threshold are compared in real time, and the offset threshold includes a first-level offset threshold and a second-level offset threshold. When the strategy offset judgment value is greater than or equal to the first-level offset threshold, the execution priority is switched to chip cooling, the plate heat exchanger flow output is restricted, and the heat path to residential water heating and office buildings is suspended, retaining only the main heat flow to the small organic Rankine cycle equipment. When the strategy offset judgment value is greater than the second-level offset threshold and less than the first-level offset threshold, the current weight configuration and heat change trend are periodically read, and the distribution ratio between terminals is dynamically adjusted according to the continuous comparison results. When the strategy offset judgment value is less than or equal to the second-level offset threshold, the existing waste heat scheduling strategy is kept unchanged, and the cold plate outlet dryness, chip temperature and current recovered heat are recorded as the basis for subsequent fitting.

6. The method for scheduling waste heat recovery of a two-phase cold plate in a data center according to claim 1, characterized in that: Driven by control instructions, the system accesses multiple sources of waste heat and distributes them to various terminal scenarios, and evaluates the matching between waste heat and terminal demand. The specific steps are as follows: Driven by control instructions, the plate heat exchanger at the cold plate outlet and the shell-and-tube heat exchanger at the condenser outlet are connected respectively to achieve the separation and utilization of sensible heat and latent heat, and distribute the recovered waste heat to different heat-using terminals. The temperature difference between the terminal inlet temperature and the terminal outlet temperature is extracted, combined with the terminal flow rate, and substituted into the heat calculation relationship to calculate the actual heat absorbed by the current heat medium in the terminal to obtain the heat required by the terminal. The terminal reference temperature is extracted from the SLA configuration file, corresponding to the target heating temperature determined for different terminal types; the current recovered heat and the total number of terminals are obtained; For each terminal, the heat required by the terminal is extracted and multiplied by an adjustment factor. The adjustment factor is calculated as follows: take the absolute value of the difference between the terminal inlet temperature and the terminal reference temperature, add it to the constant 1, and finally take the reciprocal of the result; sum the product results corresponding to all terminals as the denominator; divide the current recovered heat by the summed result to obtain the global heat fit value.

7. The method for scheduling waste heat recovery of a two-phase cold plate in a data center according to claim 1, characterized in that: The specific steps of adjusting the heating intensity and frequency by levels and updating the heat allocation list are as follows: Compare the global heat match value with the match threshold in real time. The match threshold includes a first-level match threshold and a second-level match threshold. When the global heat match value is greater than or equal to the first-level threshold, maintain heating for high-priority terminals, increase heating frequency for medium-priority terminals, and adjust the scheduling priority field to prioritize recycling. When the global heat match value is greater than the second-level match threshold and less than the first-level match threshold, the heating frequency of medium and low priority terminals is reduced, the heat allocation list is reordered, and the opening and closing of some terminal heating valves are switched according to the monitoring data cycle. When the terminal inlet temperature is higher than the terminal reference temperature, the current allocation can be skipped; when the global heat match value is less than or equal to the second-level match threshold, the heating supply to the low-match terminal is suspended, the heat allocation list is cleared and the abnormal terminal number is recorded, and the scheduling priority field is adjusted to chip cooling priority. If the global heat match value is lower than the lower limit of the global heat match value in three or more consecutive scheduling cycles, the redundant heat sources of other nodes in the park are called.

8. The method for scheduling waste heat recovery of a two-phase cold plate in a data center according to claim 1, characterized in that: The specific steps of identifying overload risks based on the changes in heat distribution status and thermal status monitoring data combined with a multi-parameter linkage mechanism and building a response judgment basis are as follows: Based on the changes in the heat distribution status and thermal status monitoring data, it is determined in real time whether the overload trigger condition has been met; the water tank temperature, return water temperature, chip temperature and cold plate outlet dryness are obtained; the water tank temperature is multiplied by the water tank weighting coefficient to obtain the water tank temperature rise impact term, and this is added to the return water temperature to form a numerator; the chip temperature is added to the temperature tolerance constant to form a denominator; the numerator is divided by the denominator to obtain the temperature-related factor; the difference obtained by subtracting the cold plate outlet dryness from one is multiplied by the temperature-related factor to obtain the final abnormal response trigger value.

9. The method for scheduling waste heat recovery of a two-phase cold plate in a data center according to claim 1, characterized in that: The specific steps of triggering heat channel switching and operating status recording are as follows: Compare the abnormal response trigger value and the trigger threshold in real time; when the abnormal response trigger value is greater than or equal to the trigger threshold, close the main heat flow channel for domestic hot water and residential heating, open the bypass valve to guide the excess heat to the heat exhaust branch, and at the same time retain the heat path to the small organic Rankine cycle equipment, and start high-frequency data acquisition, recording the maximum value of the cold plate outlet dryness and chip temperature every second; when the abnormal response trigger value is less than the trigger threshold, keep the existing heat channel unchanged, write the water tank temperature, return water temperature and chip temperature into the cache, and continue to track the temperature change trend.

10. A waste heat recovery scheduling system for a two-phase cold plate in a data center, applying the waste heat recovery scheduling method for a two-phase cold plate in a data center according to any one of claims 1 to 9, comprising: The data acquisition and monitoring module, waste heat dispatching and control module, heat energy transmission and utilization module, and safety response linkage module are characterized by: The data acquisition and monitoring module is used to collect key thermal parameters and terminal state variables through multiple types of thermal monitoring devices, and obtain and pre-process thermal state monitoring data; The waste heat scheduling control module is used to prioritize heat-using terminals based on thermal status monitoring data and in combination with the SLA configuration file, establish a scheduling deviation judgment mechanism to identify changes in thermal status, trigger the execution process of control instructions, and complete priority switching, flow restriction and path adjustment; The heat energy transmission and utilization module is used to access multi-source waste heat and distribute it to various terminal scenarios under the control instructions, evaluate the matching of waste heat with terminal demand, adjust the heating intensity and frequency in stages, and update the heat allocation list; The safety response linkage module is used to identify overload risks based on changes in heat distribution status and thermal status monitoring data, combined with a multi-parameter linkage mechanism, to build a response judgment basis and trigger the heat channel switching and operation status recording process.

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