Liquid cooling unit control method and device, liquid cooling unit and storage medium

Abstract

Embodiments of the present application relate to a liquid cooling unit control method and device, a liquid cooling unit and a storage medium. Reference data for evaluating the health state of each refrigeration module is determined according to detection data before starting of multiple refrigeration modules, and a first health evaluation result of each refrigeration module is determined according to the reference data. The starting order of the multiple refrigeration modules is determined according to the first health evaluation result of each refrigeration module, and the refrigeration modules are controlled to start and run in the starting order. In the running process of the refrigeration modules, a second health evaluation result of each refrigeration module is determined according to running state data of the multiple refrigeration modules, and the running parameters of the corresponding refrigeration module are adjusted according to the second health evaluation result. Thus, the starting and stopping and running of the refrigeration modules in the high-efficiency energy-saving liquid cooling unit are matched with the actual health state of the refrigeration modules, the situation of long-term high-load or low-load running of part of the refrigeration modules is reduced, and the rationality of the running scheduling of the liquid cooling unit is improved.

Description

Technical Field

[0001] The present invention relates to the field of refrigeration equipment control technology, and in particular to a liquid chiller control method, device, liquid chiller and storage medium. Background Technology

[0002] Liquid chillers, due to their high heat exchange efficiency, have been increasingly used in scenarios requiring continuous heat dissipation, such as data centers and communication equipment. To meet different cooling loads and operational redundancy requirements, liquid chillers typically include multiple refrigeration modules, each of which can share the cooling load to ensure that the liquid chiller continuously outputs coolant that meets the required temperature.

[0003] When controlling the start-up, shutdown, and operation of multiple refrigeration modules in existing liquid chiller units, the start-up sequence is usually determined based on information such as whether the refrigeration modules have failed and the cumulative running time. Less consideration is given to the actual detection and operating status of each refrigeration module. This can easily lead to some refrigeration modules operating at high or low loads for a long time. Moreover, alarms are usually only triggered after a failure occurs, making it difficult to detect operational abnormalities in a timely manner, which in turn affects the operational reliability and energy efficiency of the liquid chiller unit.

[0004] Therefore, it is necessary to evaluate the health status of each cooling module by combining the detection data and operating status of multiple cooling modules, and to adjust the startup and operation based on the health evaluation results. Improving the rationality of the start-up, shutdown, and operation scheduling of multiple cooling modules is a technical problem that needs to be solved. Summary of the Invention

[0005] In view of this, in order to solve the above-mentioned technical problems or some of the technical problems, the present invention provides a liquid cooling unit control method, device, liquid cooling unit and storage medium.

[0006] In a first aspect, embodiments of the present invention provide a control method for a liquid-cooled unit, the liquid-cooled unit comprising a plurality of refrigeration modules, the method comprising: Acquire pre-start detection data of multiple cooling modules, determine reference data for evaluating the health status of each cooling module based on the pre-start detection data of multiple cooling modules, and determine a first health evaluation result for each cooling module based on the reference data; The startup order of the multiple cooling modules is determined based on the first health evaluation result of each cooling module, and the cooling modules are controlled to start and run in accordance with the startup order; During the operation of the refrigeration module, a second health evaluation result for each refrigeration module is determined based on the operating status data of multiple refrigeration modules, and the operating parameters of the corresponding refrigeration module are adjusted based on the second health evaluation result.

[0007] In one possible implementation, the pre-start detection data includes: ambient temperature detection value, intake and exhaust temperature detection value, and intake and exhaust pressure detection value; The step of determining reference data for evaluating the health status of each of the multiple refrigeration modules based on pre-start detection data, and determining a first health evaluation result for each refrigeration module based on the reference data, includes: For the multiple cooling modules, the average value of multiple ambient temperature detection values ​​is calculated as the reference data corresponding to the ambient temperature detection value, the average value of multiple intake and exhaust temperature detection values ​​is calculated as the reference data corresponding to the intake and exhaust temperature detection value, and the average value of multiple intake and exhaust pressure detection values ​​is calculated as the reference data corresponding to the intake and exhaust pressure detection value. Determine the first difference between each pre-start detection data of each cooling module and the corresponding reference data, and determine the corresponding first evaluation score based on the threshold range in which the first difference is located; The first health evaluation result is determined based on the multiple first evaluation scores corresponding to each of the refrigeration modules.

[0008] In one possible implementation, determining the startup order of the plurality of cooling modules based on the first health assessment result of each of the cooling modules includes: Calculate the total first evaluation score for each cooling module based on the multiple first evaluation scores corresponding to each cooling module; The multiple refrigeration modules are sorted in descending order of their total scores in the first evaluation. For each of the cooling modules, the pre-startup detection data whose first difference is within the preset abnormal threshold range is determined as abnormal detection data, and when the number of abnormal detection data reaches a preset number, the corresponding cooling module is determined as a module that will not be started temporarily. The modules that are not to be started are excluded from the sorted cooling modules, and the sorting result of the remaining cooling modules is used as the starting order.

[0009] In one possible implementation, controlling the refrigeration module to start and operate according to the startup sequence includes: The initial number of refrigeration modules to be started is determined based on the initial load requirement of the liquid chiller unit, and the refrigeration modules corresponding to the initial number of modules to be started and operated to a preset frequency are controlled according to the starting sequence. Adjust the operating frequency of the activated cooling module based on the outlet water temperature detected by the activated cooling module; When the operating frequency of all the activated refrigeration modules reaches the preset ratio of the rated frequency, and the temperature difference between the outlet water temperature and the target set temperature reaches the preset temperature difference, the next refrigeration module is controlled to start operation according to the activation sequence.

[0010] In one possible implementation, the operating status data includes: operating time, condenser fan operating frequency, and compressor operating frequency; The step of determining the second health evaluation result for each of the multiple refrigeration modules based on their operating status data includes: For the multiple refrigeration modules, calculate the average of multiple operating times, the average of multiple condenser fan operating frequencies, and the average of multiple compressor operating frequencies; A second difference is determined between each operating status data of each cooling module and its corresponding average value, and a corresponding second evaluation score is determined based on the threshold range in which the second difference falls. The multiple second evaluation scores corresponding to each of the refrigeration modules are used as the second health evaluation results.

[0011] In one possible implementation, adjusting the operating parameters of the corresponding refrigeration module based on the second health assessment result includes: When the second difference corresponding to the operating frequency of the condenser fan is greater than the first frequency threshold, forced frequency reduction is performed when the operating frequency of the condenser fan is greater than the rated frequency, and frequency reduction is performed by capacity adjustment when the operating frequency of the condenser fan is less than or equal to the rated frequency. When the second difference corresponding to the operating frequency of the condenser fan is less than the negative first frequency threshold, forced frequency increase is performed when the operating frequency of the condenser fan is less than the minimum frequency threshold, and frequency increase is performed by capacity adjustment when the operating frequency of the condenser fan is greater than or equal to the minimum frequency threshold. When the second difference corresponding to the compressor operating frequency is greater than the second frequency threshold, forced frequency reduction is performed when the compressor operating frequency is greater than the rated frequency, and frequency reduction is performed by capacity adjustment when the compressor operating frequency is less than or equal to the rated frequency. When the second difference corresponding to the compressor operating frequency is less than the negative second frequency threshold, forced frequency increase is performed when the compressor operating frequency is less than the minimum oil return frequency threshold, and frequency increase is performed by capacity adjustment when the compressor operating frequency is greater than or equal to the minimum oil return frequency threshold. The forced frequency increase, forced frequency decrease and capacity adjustment are used to adjust the operating frequency to a preset range of the corresponding average value.

[0012] In one possible implementation, the method further includes: A first total evaluation score is calculated based on multiple first evaluation scores corresponding to each of the cooling modules, and a second total evaluation score is calculated based on multiple second evaluation scores corresponding to each of the cooling modules. The first evaluation score and the second evaluation score of each of the cooling modules are added together to obtain the comprehensive evaluation score. The shutdown order of the multiple cooling modules is determined according to the comprehensive evaluation score from low to high, and the multiple cooling modules are controlled to shut down sequentially according to the shutdown order. When the liquid cooling unit restarts, a new first evaluation score is determined for each refrigeration module based on the newly acquired pre-start detection data. The new first evaluation score is added to the second evaluation score determined for the corresponding refrigeration module in the previous operating cycle to obtain the restart evaluation score. The startup order of the multiple refrigeration modules is determined according to the restart evaluation scores from high to low.

[0013] Secondly, embodiments of this application provide a liquid-cooled unit control device, comprising: A determination module is used to acquire pre-start detection data of multiple cooling modules, determine reference data for evaluating the health status of each cooling module based on the pre-start detection data of multiple cooling modules, and determine a first health evaluation result for each cooling module based on the reference data. The control module is used to determine the startup order of the multiple refrigeration modules based on the first health evaluation result of each refrigeration module, and to control the refrigeration modules to start and run according to the startup order; An adjustment module is used to determine a second health evaluation result for each of the refrigeration modules based on the operating status data of multiple refrigeration modules during the operation of the refrigeration module, and to adjust the operating parameters of the corresponding refrigeration module based on the second health evaluation result.

[0014] Thirdly, embodiments of this application provide a liquid-cooled unit, including: a processor and a memory, wherein the processor is used to execute a liquid-cooled unit control program stored in the memory to implement the liquid-cooled unit control method described in any one of the first aspects above.

[0015] Fourthly, embodiments of this application provide a storage medium storing one or more programs, which can be executed by one or more processors to implement the liquid chiller control method of any of the first aspects described above.

[0016] The liquid-cooled chiller control method provided in this invention acquires pre-start detection data of multiple refrigeration modules, determines reference data for evaluating the health status of each refrigeration module based on the pre-start detection data, and determines a first health evaluation result for each refrigeration module based on the reference data. The method then determines the start-up sequence of the multiple refrigeration modules based on the first health evaluation result and controls the refrigeration modules to start and operate according to the start-up sequence. During the operation of the refrigeration modules, a second health evaluation result for each refrigeration module is determined based on the operating status data of the multiple refrigeration modules, and the operating parameters of the corresponding refrigeration modules are adjusted based on the second health evaluation result. Therefore, by performing a health evaluation based on the detection data of multiple refrigeration modules before startup, determining the start-up sequence based on the evaluation results, and simultaneously conducting a re-evaluation and parameter adjustment based on the operating status of each refrigeration module during operation, the start-up, shutdown, and operation of the refrigeration modules can be matched with their actual health status. This reduces the situation where some refrigeration modules operate at high or low loads for extended periods, improving the rationality, reliability, and energy efficiency of the liquid-cooled chiller operation scheduling. Attached Figure Description

[0017] Figure 1 A flowchart of a liquid-cooled unit control method provided in this application embodiment; Figure 2 A structural diagram of a liquid-cooled unit control system provided in an embodiment of this application; Figure 3 A flowchart illustrating another liquid-cooled unit control method provided in this application embodiment; Figure 4 A flowchart illustrating another liquid-cooled unit control method provided in this application embodiment; Figure 5 A structural diagram of a liquid-cooled unit control device provided in an embodiment of the present invention; Figure 6 This is a structural diagram of a liquid cooling unit provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.

[0019] To facilitate understanding of the embodiments of the present invention, further explanations and descriptions will be provided below with reference to the accompanying drawings and specific embodiments. These embodiments do not constitute a limitation on the embodiments of the present invention.

[0020] This application embodiment performs pre-start health evaluation and in-operation health evaluation on multiple refrigeration modules in the liquid chiller unit, and performs start-up scheduling, operation parameter adjustment and subsequent start-stop scheduling on multiple refrigeration modules according to the health evaluation results, so that different refrigeration modules can participate in the refrigeration work of the liquid chiller unit under operating conditions that are adapted to their own health status.

[0021] Figure 1 A flowchart of a liquid-cooled unit control method provided in this application embodiment is shown below. Figure 1 As shown, the specific implementation steps of this liquid-cooled unit control method are as follows: Step S101: Obtain pre-start detection data of multiple refrigeration modules, determine reference data for evaluating the health status of each refrigeration module based on the pre-start detection data of multiple refrigeration modules, and determine the first health evaluation result of each refrigeration module based on the reference data.

[0022] The liquid-cooled unit control method provided in this application can be applied to scenarios requiring continuous heat dissipation, such as data centers and communication equipment rooms, and can also be applied to high-efficiency energy-saving refrigeration equipment or liquid-cooled equipment. The liquid-cooled unit may include multiple refrigeration modules and a liquid supply unit connected to these modules. In one specific implementation, it may also include a liquid replenishment function section. Each refrigeration module may include a compressor, a condenser fan, a condenser, a heat exchanger, an electronic expansion valve, and multiple sensors for detecting the operating status of the refrigeration module. Multiple refrigeration modules can be connected in parallel to jointly provide cooling capacity to the liquid-cooled unit, and other refrigeration modules can assume the corresponding cooling load when some refrigeration modules stop or malfunction. The execution entity of the method can be the controller of the liquid-cooled unit. The controller can communicate with multiple refrigeration modules to obtain data uploaded by the refrigeration modules and send start, stop, and operating parameter adjustment commands to the refrigeration modules.

[0023] Pre-start detection data can be data obtained before the liquid chiller unit starts operation to reflect the current status of the refrigeration module. Reference data can be benchmark data determined based on the detection values ​​of multiple refrigeration modules corresponding to detection items. The first health evaluation result can be used to characterize the health status of the refrigeration module before startup.

[0024] In this embodiment, before the liquid cooling unit starts operation, pre-startup detection data of multiple refrigeration modules is acquired within a preset detection period. For each detection item in the pre-startup detection data, the detection value corresponding to each of the multiple refrigeration modules is acquired, and the average value of the multiple detection values ​​is calculated. The average value is determined as the reference data corresponding to that detection item. Further, the difference between each pre-startup detection data item of each refrigeration module and the corresponding reference data is determined, and a first evaluation score corresponding to that pre-startup detection data item is determined according to the threshold range of the difference. Different threshold ranges correspond to different first evaluation scores, and the first evaluation score is negatively correlated with the difference. The multiple first evaluation scores corresponding to each refrigeration module form the first health evaluation result of that refrigeration module.

[0025] For example, when pre-startup detection data includes ambient temperature, intake / exhaust temperature, and intake / exhaust pressure, the average value of each of the three types of detection values ​​can be calculated as reference data. For any refrigeration module, the difference between its three types of detection values ​​and the corresponding reference data is calculated; the smaller the difference, the higher the first evaluation score can be assigned, and the larger the difference, the lower the first evaluation score can be assigned. The first evaluation scores corresponding to the ambient temperature, intake / exhaust temperature, and intake / exhaust pressure detection values ​​are combined to form the first health evaluation result of the refrigeration module, reflecting the pre-startup health status of the refrigeration module under different detection dimensions.

[0026] Step S102: Determine the startup sequence of multiple refrigeration modules based on the first health evaluation result of each refrigeration module, and control the refrigeration modules to start and run according to the startup sequence.

[0027] The startup order can be used to characterize the priority relationship of multiple refrigeration modules participating in the current refrigeration operation. The higher the health level reflected by the first health evaluation result, the higher the startup priority of the corresponding refrigeration module can be.

[0028] In this embodiment, after obtaining the first health evaluation result for each refrigeration module, the health level of each refrigeration module is determined based on the first evaluation score corresponding to each pre-startup detection data in the first health evaluation result (for example, for each refrigeration module, all its corresponding first evaluation scores are added together to obtain a total evaluation score as the health level). The multiple refrigeration modules are then sorted from highest to lowest health level, and the sorting result is determined as the startup order. When the liquid cooling unit needs to start a refrigeration module, the refrigeration modules are selected sequentially according to the startup order, and a startup control command is sent to the selected refrigeration module so that the refrigeration module with a relatively better health status is put into operation first.

[0029] For example, a liquid-cooled chiller unit includes a first refrigeration module, a second refrigeration module, and a third refrigeration module. Based on the first health assessment results of each refrigeration module, if the first refrigeration module has the highest health level, followed by the third refrigeration module, and then the second refrigeration module has the lowest, then the first, third, and second refrigeration modules can be arranged sequentially to form a startup sequence. When a refrigeration module needs to be started, the first refrigeration module can be started first; when additional refrigeration modules need to be added, the subsequent refrigeration modules are started according to the aforementioned startup sequence.

[0030] Step S103: During the operation of the refrigeration module, determine the second health evaluation result of each refrigeration module based on the operating status data of multiple refrigeration modules, and adjust the operating parameters of the corresponding refrigeration module according to the second health evaluation result.

[0031] The operating status data can be data obtained after the refrigeration module starts running, which reflects the actual operating status of the refrigeration module, such as running time, condenser fan operating frequency and compressor operating frequency; the second health evaluation result can be used to characterize the health status of the refrigeration module during operation, and can include the evaluation results corresponding to each operating status data.

[0032] In this embodiment, during the operation of multiple refrigeration modules, the operating status data of each refrigeration module is acquired, and the overall operating level of the multiple refrigeration modules is determined for each piece of operating status data. For example, the average operating time, average condenser fan operating frequency, and average compressor operating frequency of the multiple refrigeration modules can be calculated separately. Then, the deviation of each operating status data of each refrigeration module from the corresponding average value is determined, and the corresponding evaluation score is determined based on the deviation. The multiple evaluation scores form the second health evaluation result of the refrigeration module.

[0033] Furthermore, for refrigeration modules whose condenser fan or compressor operating frequency deviates from a reasonable range according to the second health evaluation results, the condenser fan or compressor operating frequency can be adjusted by increasing or decreasing the frequency based on the direction of deviation and the relationship between the current operating frequency and the rated and minimum operating frequencies, so that the corresponding operating frequency returns to near the overall operating level of multiple refrigeration modules. The evaluation results corresponding to the operating time can be used to reflect whether the long-term operating load among different refrigeration modules is balanced, and serve as the basis for subsequent start-up and shutdown scheduling.

[0034] For example, when the operating frequency of the condenser fan of a certain refrigeration module is significantly higher than the average operating frequency of the condenser fans of multiple refrigeration modules, the operating frequency of that condenser fan can be reduced; when the operating frequency of the compressor of a certain refrigeration module is significantly lower than the average operating frequency of the compressor and close to the minimum oil return operating range, the operating frequency of that compressor can be increased, thereby reducing the situation where the long-term operating load difference between different refrigeration modules is too large.

[0035] As can be seen from the above, in this embodiment, a first health assessment is performed based on the state differences between multiple refrigeration modules before the liquid chiller unit is started, and the module start-up order is determined according to the results of the first health assessment. During the operation of the modules, a health assessment is performed again based on the actual operating state, and the operating parameters are dynamically adjusted according to the health assessment results, so that the start-up scheduling and operation control of the refrigeration modules are related to the module health status.

[0036] In one possible implementation, a specific process for determining the first health assessment result of a cooling module is described, with the following specific steps: Step S201: For multiple refrigeration modules, calculate the average value of multiple ambient temperature detection values ​​as the reference data corresponding to the ambient temperature detection values, calculate the average value of multiple suction and exhaust temperature detection values ​​as the reference data corresponding to the suction and exhaust temperature detection values, and calculate the average value of multiple suction and exhaust pressure detection values ​​as the reference data corresponding to the suction and exhaust pressure detection values.

[0037] The ambient temperature detection value can be the temperature detected by a temperature sensor located at the corresponding ambient detection position around or inside the refrigeration module; the suction and exhaust temperature detection values ​​can include temperature detection data corresponding to the compressor's suction and exhaust sides; the suction and exhaust pressure detection values ​​can include pressure detection data corresponding to the compressor's suction and exhaust sides. Reference data is used to represent the overall detection level of multiple refrigeration modules for the same detection parameter.

[0038] In this embodiment, before the liquid cooling unit is officially started, the controller can first check whether multiple refrigeration modules can upload corresponding sensor data normally. If the sensor communication is normal, the controller can continuously acquire the pre-start detection data of each refrigeration module within a preset detection time. For example, it can continuously collect data for one minute and determine the stable detection value corresponding to each refrigeration module based on the data within the preset detection time.

[0039] For ambient temperature detection values, the controller can sum the ambient temperature detection values ​​uploaded by multiple refrigeration modules and divide by the number of refrigeration modules involved in the detection to obtain the average value of the ambient temperature detection values. This average value is then used as the reference data for the corresponding ambient temperature detection values. The same method can be used to obtain the corresponding reference data for the intake and exhaust temperature detection values ​​and the intake and exhaust pressure detection values.

[0040] In one optional implementation, if a certain cooling module fails to upload the corresponding detection data normally, or if the controller detects that the corresponding sensor is in a faulty state, the detection data can be marked as invalid data, and a prompt can be made to check the corresponding sensor, circuit or module control part, so as to avoid abnormal sampling data affecting the overall evaluation results of multiple cooling modules.

[0041] Step S202: Determine the first difference between each pre-start detection data of each cooling module and the corresponding reference data, and determine the corresponding first evaluation score based on the threshold range of the first difference.

[0042] The first difference is used to characterize the degree of deviation of the pre-startup detection data of a single refrigeration module from the overall detection level of multiple refrigeration modules; the threshold range can be set separately for different types of pre-startup detection data; the first evaluation score can be used to quantify the health level represented by the corresponding pre-startup detection data. The smaller the deviation, the higher the first evaluation score can be set.

[0043] In this embodiment, for the ambient temperature detection value, a first difference can be calculated between the ambient temperature detection value of each cooling module and the corresponding reference data. For example, the absolute value of the first difference can be divided into multiple threshold ranges: when the absolute value of the first difference is not greater than 0.1 degrees Celsius, a higher first evaluation score can be assigned; when the absolute value of the first difference is greater than 0.1 degrees Celsius but not greater than 0.3 degrees Celsius, a middle-range first evaluation score can be assigned; when the absolute value of the first difference is greater than 0.3 degrees Celsius, a lower first evaluation score can be assigned.

[0044] For the intake and exhaust temperature detection values, a similar temperature difference threshold can be used for evaluation. For example, when the deviation between the intake and exhaust temperature detection values ​​and the corresponding reference data is small, a higher first evaluation score is assigned, and the first evaluation score is gradually reduced as the deviation increases.

[0045] For the intake and exhaust pressure detection values, a corresponding threshold range can be set according to the pressure detection accuracy. For example, when the absolute value of the first difference is no greater than 10 kPa, a higher first evaluation score can be assigned; when the absolute value of the first difference is greater than 10 kPa but no greater than 30 kPa, a middle-range first evaluation score can be assigned; when the absolute value of the first difference is greater than 30 kPa, a lower first evaluation score can be assigned.

[0046] It should be noted that the specific temperature thresholds, pressure thresholds, and evaluation scores mentioned above are only used to illustrate one possible implementation method and can be adjusted according to the sensor detection accuracy, refrigeration module specifications, and actual operating requirements of the liquid cooling unit.

[0047] Step S203: Determine the first health evaluation result based on the multiple first evaluation scores corresponding to each refrigeration module.

[0048] Among them, the multiple first evaluation scores correspond to multiple pre-start detection data of a refrigeration module, thus reflecting the status of the refrigeration module under different detection dimensions.

[0049] In this embodiment, the controller can associate and store the first evaluation scores corresponding to the ambient temperature detection value, intake and exhaust temperature detection value, and intake and exhaust pressure detection value of the same refrigeration module. These multiple first evaluation scores together constitute the first health evaluation result of the corresponding refrigeration module. Therefore, the first health evaluation result not only reflects the overall health level of the refrigeration module but also retains the specific evaluation information of each detection dimension, providing a basis for subsequent startup sorting and abnormal detection data screening.

[0050] In one possible implementation, a specific process for determining the startup order of multiple cooling modules based on a first health assessment result is described, and the specific implementation steps are as follows: Step S301: Calculate the total first evaluation score for each refrigeration module based on the multiple first evaluation scores corresponding to each refrigeration module.

[0051] The first evaluation score can be used to comprehensively characterize the overall health of the cooling module under multiple detection dimensions before startup.

[0052] In this embodiment, the controller can sum the first evaluation score corresponding to the ambient temperature detection value, the first evaluation score corresponding to the intake and exhaust temperature detection value, and the first evaluation score corresponding to the intake and exhaust pressure detection value of the same refrigeration module to obtain the first evaluation total score for the refrigeration module. The first evaluation score is set to be higher when the health level is higher, and the higher the first evaluation total score is, which can indicate that the overall health status of the refrigeration module is better before startup.

[0053] Step S302: Sort the multiple refrigeration modules in descending order of their total first evaluation scores.

[0054] By sorting multiple refrigeration modules, an initial startup priority relationship can be established among them.

[0055] In this embodiment, after the controller obtains the first total evaluation score for each cooling module, it arranges the multiple first total evaluation scores in descending order and establishes a mapping relationship between the first total evaluation scores and the corresponding cooling modules. Cooling modules with higher first total evaluation scores are arranged first, and cooling modules with lower first total evaluation scores are arranged last.

[0056] When multiple refrigeration modules have the same first evaluation total score, their relative order can be further determined based on the cumulative running time of the refrigeration modules, the pre-set module priority, or the module number, so as to ensure that the sorting result is unique and can be directly used for subsequent start-up control.

[0057] Step S303: For each cooling module, the pre-start detection data whose first difference is within the preset abnormal threshold range is determined as abnormal detection data, and when the number of abnormal detection data reaches the preset number, the corresponding cooling module is determined as a module that will not be started temporarily.

[0058] The preset abnormal threshold range can be a threshold range used to indicate that the corresponding detection data deviates significantly from the overall detection level of multiple cooling modules; the abnormal detection data can be the pre-start detection data where the first difference is within the preset abnormal threshold range; the modules not to be started can be cooling modules that do not participate in cooling operation during this startup scheduling process.

[0059] In this embodiment, the controller can determine whether the first difference between the ambient temperature detection value, the intake and exhaust temperature detection value, and the intake and exhaust pressure detection value is within the corresponding preset abnormal threshold range, and count the number of abnormal detection data corresponding to the same refrigeration module. For example, the preset number can be set to 2. When a refrigeration module has at least two abnormal detection data, even if the refrigeration module has obtained the first evaluation score, the refrigeration module can be determined as a module that will not be started temporarily, thus avoiding the direct operation of refrigeration modules with multiple obvious abnormalities.

[0060] Step S304: Exclude modules that will not be started from the sorted multiple refrigeration modules, and use the sorting result of the remaining refrigeration modules as the start-up order.

[0061] The remaining refrigeration modules can be those that have completed the pre-start health assessment and have not been identified as modules that will not be started for the time being.

[0062] In this embodiment, the controller removes the sorting positions corresponding to modules that are not yet started from the sorting results obtained in step S302, while maintaining the original relative sorting relationships of the remaining refrigeration modules. The processed sorting results are then determined as the startup sequence corresponding to the current operation of the liquid chiller unit. Thus, while prioritizing modules with higher overall first evaluation scores, modules with multiple obvious abnormal detection data are avoided from participating in the current operation.

[0063] In one possible implementation, a specific process for controlling the startup and operation of multiple cooling modules according to their startup sequence is described, and the specific implementation steps are as follows: Step S401: Determine the initial number of refrigeration modules to be started based on the initial load requirements of the liquid cooling unit, and control the refrigeration modules corresponding to the initial number of modules to start and run to the preset frequency according to the start sequence.

[0064] The initial load requirement can be the initial cooling capacity that the liquid chiller needs to provide to the external load when it starts to run; the initial start-up quantity can be the number of refrigeration modules that need to be started to meet the initial load requirement; and the preset frequency can be the initial operating frequency used to establish a stable refrigeration cycle after the refrigeration modules are started.

[0065] In this embodiment, the controller can determine the initial load requirement based on parameters such as the external cooling load, the target coolant temperature, the current coolant temperature, and the rated cooling capacity of a single refrigeration module, and further determine the initial number of refrigeration modules that need to be put into operation. For example, when the rated cooling capacity of one refrigeration module is insufficient to cover the initial load requirement, but the operation of two refrigeration modules together can meet the initial load requirement, the initial number of modules to be started can be determined to be 2.

[0066] After determining the initial number of modules to be started, the controller selects the number of refrigeration modules that are ranked first from the starting sequence obtained in step S304, and controls these refrigeration modules to start. After the refrigeration modules start, they can first run to a preset intermediate frequency, so that the refrigeration system can gradually establish a stable refrigerant cycle and reduce the operating fluctuations caused by the modules directly entering high-frequency operation after startup.

[0067] Step S402: Adjust the operating frequency of the activated cooling module based on the outlet water temperature detected by the activated cooling module.

[0068] The outlet water temperature can be the temperature of the coolant when it is output to the external load after being cooled by the liquid chiller unit. This temperature can reflect the matching between the actual cooling capacity of the liquid chiller unit and the external load demand.

[0069] In this embodiment, after each activated cooling module reaches a preset frequency, the controller can continuously acquire the outlet water temperature and compare it with the target set temperature. When the outlet water temperature is higher than the target set temperature, the operating frequency of the activated cooling modules can be increased based on the temperature deviation to increase the cooling capacity; when the outlet water temperature reaches near the target set temperature, the current operating frequency can be maintained or the operating frequency can be appropriately reduced according to actual control requirements, thereby stabilizing the coolant temperature near the target set temperature.

[0070] Step S403: When the operating frequency of all the activated cooling modules reaches the preset ratio of the rated frequency, and the temperature difference between the outlet water temperature and the target set temperature reaches the preset temperature difference, control the next cooling module to start operation according to the startup sequence.

[0071] Among them, the preset ratio of the rated frequency can be used to determine whether the currently activated cooling module is already close to a high load operating state; the preset temperature difference can be used to determine whether the current cooling capacity is still insufficient to meet the external cooling load.

[0072] In this embodiment, for example, the preset percentage of the rated frequency can be set to 95%. When the operating frequency of all currently activated cooling modules reaches or exceeds 95% of the corresponding rated frequency, it indicates that the currently activated cooling modules are already in a high cooling capacity output state. If the outlet water temperature is still higher than the target set temperature, and the temperature difference between the two reaches the preset temperature difference, it indicates that simply adjusting the current cooling modules is no longer sufficient to meet the current cooling load. Therefore, the controller can select the next cooling module according to the predetermined startup sequence and control its startup.

[0073] If either of the above two conditions is not met, the operating frequency of the currently activated refrigeration module can be adjusted or the current operating state can be maintained without immediately starting a new refrigeration module. This reduces frequent starts or standby cycles caused by mismatched cooling capacity in liquid chiller units.

[0074] In one possible implementation, a specific process for determining the second health evaluation result of each refrigeration module based on operational status data is described, with the following specific implementation steps: Step S501: For multiple refrigeration modules, calculate the average value of multiple running times, the average value of multiple condenser fan operating frequencies, and the average value of multiple compressor operating frequencies.

[0075] Among them, the running time can be data that reflects the actual duration of the cooling module's cooling task, such as the cumulative running time of the cooling module recorded by the controller; the condenser fan operating frequency can be used to reflect the current operating load on the condenser side of the cooling module; and the compressor operating frequency can reflect the cooling output capacity of the cooling module and the current operating load of the compressor.

[0076] In this embodiment, after the liquid chiller unit completes startup and enters the operation phase, the controller can periodically read the operating time of multiple refrigeration modules and calculate the average operating time of multiple refrigeration modules to evaluate whether the long-term workload of different modules is balanced.

[0077] To determine the operating frequencies of the condenser fan and compressor, statistics can be compiled for multiple refrigeration modules currently running and participating in cooling operations, calculating the average condenser fan operating frequency and the average compressor operating frequency. By using the average frequency of these multiple operating modules as a benchmark, it is possible to identify whether a particular refrigeration module is consistently operating at a significantly higher or lower load than other modules.

[0078] Step S502: Determine the second difference between each operating status data of each refrigeration module and the corresponding average value, and determine the corresponding second evaluation score based on the threshold range of the second difference.

[0079] The second difference can be used to represent the degree of deviation of the operating status data of a single refrigeration module from the overall operating level of multiple refrigeration modules; the second evaluation score can be used to quantify the operating health level reflected by the corresponding operating status data.

[0080] In this embodiment, regarding the running time, a second difference can be calculated between the running time of a single cooling module and the average running time of multiple cooling modules. A running time threshold can be preset: when the second difference is within a normal time range centered at zero, a higher second evaluation score is assigned; when the second difference is greater than a positive running time threshold, it indicates that the running time of the cooling module is significantly longer than the overall level, and a relatively lower second evaluation score can be assigned; when the second difference is less than a negative running time threshold, it indicates that the long-term running time of the cooling module is significantly shorter, and the corresponding second evaluation score can also be reduced to further determine whether the cooling module has unreasonable operating parameters or has not been properly involved in cooling for a long period.

[0081] A first frequency threshold can be set for the operating frequency of the condenser fan. When the second difference corresponding to the operating frequency of the condenser fan is between the positive and negative first frequency thresholds, a higher second evaluation score can be assigned; when the second difference exceeds the positive first frequency threshold or is lower than the negative first frequency threshold, a corresponding second evaluation score can be assigned according to its degree of deviation.

[0082] A second frequency threshold can be set for the compressor operating frequency. When the second difference corresponding to the compressor operating frequency is between the positive and negative second frequency thresholds, a higher second evaluation score can be assigned; when the second difference exceeds the above range, the corresponding second evaluation score is determined according to its deviation direction and degree.

[0083] Through the above processing, the second evaluation score corresponding to the running time mainly reflects the balance of the long-term operating load of multiple refrigeration modules, while the second evaluation scores corresponding to the condenser fan operating frequency and the compressor operating frequency can further reflect the real-time operating load status of the current refrigeration module.

[0084] Step S503: Take the multiple second evaluation scores corresponding to each refrigeration module as the second health evaluation results.

[0085] The second health evaluation result may include the second evaluation score corresponding to the running time, the operating frequency of the condenser fan, and the operating frequency of the compressor, so as to retain the evaluation information under different operating status dimensions.

[0086] In this embodiment, the controller can associate and store multiple second evaluation scores of the same refrigeration module to form a second health evaluation result corresponding to the current operating stage of the refrigeration module. Since each second evaluation score has a preset correspondence with the second difference and threshold range of the corresponding operating status data, when adjusting the operating parameters later, it can determine whether the operating frequency of the condenser fan or the operating frequency of the compressor is within the range that needs to be adjusted based on the second health evaluation result, and then control the specific operating parameters in conjunction with the corresponding second difference.

[0087] In one possible implementation, a specific process for adjusting the operating parameters of the corresponding refrigeration module based on the results of a second health assessment is described, and the specific implementation steps are as follows: The second evaluation score in the second health evaluation result is determined by the threshold range of the second difference. Therefore, when the controller adjusts the operating parameters based on the second health evaluation result, it can determine the corresponding threshold range based on the second evaluation scores corresponding to the operating frequency of the condenser fan and the operating frequency of the compressor, and determine whether the corresponding operating frequency is too high or too low relative to the average value by combining the positive and negative directions of the corresponding second difference.

[0088] Forced frequency increase or forced frequency decrease can correct the current operating frequency at a relatively fast frequency adjustment speed; capacity adjustment can gradually increase or decrease the operating frequency according to the predetermined capacity control strategy of the liquid chiller unit, and its adjustment speed can be lower than that of forced frequency adjustment, so as to reduce the impact of rapid changes in operating frequency on the stability of the refrigeration cycle.

[0089] Step S601: When the second difference corresponding to the operating frequency of the condenser fan is greater than the first frequency threshold, the frequency is forcibly reduced when the operating frequency of the condenser fan is greater than the rated frequency, and the frequency is reduced by capacity adjustment when the operating frequency of the condenser fan is less than or equal to the rated frequency.

[0090] If the second difference corresponding to the operating frequency of the condenser fan is greater than the first frequency threshold, it can be said that the operating frequency of the condenser fan of the refrigeration module is significantly higher than the average operating frequency of the condenser fan of multiple operating refrigeration modules.

[0091] In this embodiment, when the second difference is greater than the first frequency threshold, the controller further determines whether the current operating frequency of the condenser fan is greater than the rated frequency. If the current operating frequency of the condenser fan is greater than the rated frequency, it means that the condenser fan is already in a state exceeding the normal rated operating range, and forced frequency reduction can be directly executed to reduce the operating frequency of the condenser fan at a relatively fast speed; if the current operating frequency of the condenser fan is less than or equal to the rated frequency, it means that although the current frequency is relatively high compared to other modules, it has not yet exceeded the rated operating boundary, so the operating frequency can be gradually reduced through capacity adjustment.

[0092] Both frequency reduction methods can aim to adjust the condenser fan operating frequency to a preset range corresponding to the average condenser fan operating frequency. For example, this preset range can be determined by the average condenser fan operating frequency and a first frequency threshold.

[0093] Step S602: When the second difference corresponding to the operating frequency of the condenser fan is less than the negative first frequency threshold, the frequency is forcibly increased when the operating frequency of the condenser fan is less than the minimum frequency threshold, and the frequency is increased by capacity adjustment when the operating frequency of the condenser fan is greater than or equal to the minimum frequency threshold.

[0094] The minimum frequency threshold can be a frequency boundary determined based on the minimum frequency at which the condenser fan is allowed to operate stably for a long period. To allow for a certain control margin in the minimum operating frequency of the condenser fan, a preset frequency offset can be added to the minimum frequency to obtain the minimum frequency threshold. For example, the preset frequency offset can be 2 Hz.

[0095] In this embodiment, when the second difference is less than the negative first frequency threshold, it indicates that the operating frequency of the condenser fan is significantly lower than the average operating frequency of the condenser fans of multiple refrigeration modules. If the current operating frequency of the condenser fan is already lower than the minimum frequency threshold, the condenser fan is quickly moved out of the excessively low frequency operating range by forced frequency increase; if the current operating frequency of the condenser fan is still greater than or equal to the minimum frequency threshold, the operating frequency of the condenser fan can be gradually increased by capacity adjustment to bring it back to the preset range corresponding to the average operating frequency of the condenser fan.

[0096] Step S603: When the second difference corresponding to the compressor operating frequency is greater than the second frequency threshold, forced frequency reduction is performed when the compressor operating frequency is greater than the rated frequency, and frequency reduction is performed by capacity adjustment when the compressor operating frequency is less than or equal to the rated frequency.

[0097] The second frequency threshold can be set according to the compressor's operating characteristics and is used to determine whether the positive deviation of the operating frequency of a single compressor from the average operating frequency of multiple refrigeration modules reaches the level that needs to be adjusted.

[0098] In this embodiment, when the compressor operating frequency is significantly higher than the average compressor operating frequency, if the current compressor operating frequency has exceeded the rated frequency, the controller performs forced frequency reduction to reduce the possibility of the compressor being in a high-load state for a long time; if the current compressor operating frequency has not exceeded the rated frequency, the compressor operating frequency is gradually reduced through capacity adjustment so that the compressor operating frequency returns to the preset range corresponding to the average compressor operating frequency.

[0099] Step S604: When the second difference corresponding to the compressor operating frequency is less than the negative second frequency threshold, the compressor operating frequency is forced to increase when it is less than the minimum oil return frequency threshold, and the compressor operating frequency is increased by capacity adjustment when it is greater than or equal to the minimum oil return frequency threshold.

[0100] The minimum oil return frequency threshold can be a frequency boundary determined based on the minimum oil return frequency required for the compressor to ensure normal oil return. If the compressor operates at too low a frequency for an extended period, it may affect the normal return flow of lubricating oil inside the compressor. Therefore, a preset frequency offset can be added to the minimum oil return frequency to form the minimum oil return frequency threshold. For example, 2 Hz can be added to the minimum oil return frequency.

[0101] In this embodiment, when the compressor operating frequency is significantly lower than the average compressor operating frequency, if the current compressor operating frequency is already below the minimum oil return frequency threshold, the controller performs forced frequency increase to allow the compressor to quickly leave the low-frequency range that may affect normal oil return. If the current compressor operating frequency is still greater than or equal to the minimum oil return frequency threshold, the compressor operating frequency is gradually increased through capacity adjustment. Both forced frequency increase and capacity adjustment can aim to restore the compressor operating frequency to a preset range corresponding to the average compressor operating frequency.

[0102] Therefore, when there are significant differences in the operating capabilities of different refrigeration modules, the operating frequency of the condenser fan and compressor can be corrected separately. Furthermore, it can be determined whether to use forced frequency regulation or capacity regulation based on whether the current frequency is close to or exceeds the corresponding operating boundary. This balances the operating load of multiple refrigeration modules while taking into account the safety operation requirements of each frequency converter.

[0103] In one possible implementation, a specific process for scheduling the shutdown and restart of a liquid-cooled unit is described, with the following specific steps: Step S701: Calculate the first evaluation total score based on the multiple first evaluation scores corresponding to each refrigeration module, and calculate the second evaluation total score based on the multiple second evaluation scores corresponding to each refrigeration module.

[0104] The first evaluation score can be used to comprehensively characterize the health status of the refrigeration module before this startup; the second evaluation score can be used to comprehensively characterize the actual operational health status of the refrigeration module during this operating cycle; the operating cycle can be the time period from the start of the refrigeration module participating in the refrigeration operation of the liquid chiller unit to the shutdown of this operation.

[0105] In this embodiment, multiple first evaluation scores corresponding to the ambient temperature detection value, intake and exhaust temperature detection value, and intake and exhaust pressure detection value for each refrigeration module can be added together to obtain a first evaluation total score. Simultaneously, multiple second evaluation scores corresponding to the running time, condenser fan operating frequency, and compressor operating frequency of the corresponding refrigeration module can be added together to obtain a second evaluation total score.

[0106] Although the second evaluation score corresponding to the running time is not directly used for frequency adjustment in steps S601 to S604, it participates in the calculation of the total score of the second evaluation. Therefore, it can further affect the shutdown order at the end of the current running cycle and the start order of the next running cycle, so that the cooling modules with significantly high or low long-term running time can be adjusted accordingly in subsequent scheduling.

[0107] Step S702: Add the first evaluation total score and the second evaluation total score of each refrigeration module to obtain the comprehensive evaluation total score. Determine the shutdown order of multiple refrigeration modules according to the comprehensive evaluation total score from low to high, and control multiple refrigeration modules to shut down in sequence according to the shutdown order.

[0108] The overall evaluation score reflects both the basic health status of the cooling module before startup and its actual operational health status during the current operating cycle. When both the first and second evaluation scores are set according to the rule that higher scores indicate higher health levels, a higher overall evaluation score indicates a better overall health status for the corresponding cooling module.

[0109] In this embodiment, when the liquid cooling unit needs to gradually reduce its cooling capacity or perform a shutdown operation, the controller can add the first evaluation score and the second evaluation score for each cooling module to obtain the corresponding comprehensive evaluation score. Then, the multiple cooling modules currently in operation are sorted from low to high according to the comprehensive evaluation score, and the cooling modules with lower comprehensive evaluation scores are arranged in the earlier shutdown positions, while the cooling modules with higher comprehensive evaluation scores are arranged in the later shutdown positions.

[0110] For example, if the overall evaluation scores of the three cooling modules are as follows when the first module is the lowest, the second module is in the middle, and the third module is the highest, then the first, second, and third modules can be shut down in sequence. This allows the module with the relatively poor health status to be shut down first, while the module with the relatively good health status continues to bear the remaining cooling load.

[0111] Step S703: When the liquid cooling unit restarts, a new first evaluation total score for each refrigeration module is determined based on the newly acquired pre-start detection data. The new first evaluation total score is added to the second evaluation total score determined for the corresponding refrigeration module in the previous operating cycle to obtain the restart evaluation total score. The startup order of multiple refrigeration modules is determined according to the restart evaluation total score from high to low.

[0112] The new first evaluation score can be the evaluation score obtained after re-evaluating the pre-start health status of the liquid chiller unit before restarting, based on the newly acquired ambient temperature, suction and exhaust temperature, and suction and exhaust pressure values. The second evaluation score of the previous operating cycle can be the evaluation score calculated and saved based on multiple second evaluation scores corresponding to the operating time, condenser fan operating frequency, and compressor operating frequency in the most recent completed operating cycle of the liquid chiller unit. The restart evaluation score can be used to simultaneously characterize the current pre-start health status of the refrigeration module and the actual health status during the most recent operation.

[0113] In this embodiment, when the liquid cooling unit needs to be restarted after a shutdown, the controller does not directly use the first evaluation total score of the previous operating cycle, but instead re-collects the pre-start detection data of multiple refrigeration modules, and redetermines the first evaluation score and the new first evaluation total score of each refrigeration module in accordance with the methods corresponding to steps S201 to S203, so that the pre-start evaluation results can reflect the actual state of the refrigeration module at the current moment.

[0114] Subsequently, for each refrigeration module, the controller adds the new first evaluation score to the second evaluation score saved in the previous operating cycle to obtain the corresponding restart evaluation score. The refrigeration modules are then sorted from highest to lowest according to their restart evaluation scores to determine the restart sequence for this restart. The refrigeration modules are then controlled to participate in the refrigeration operation sequentially according to this restart sequence.

[0115] For example, if a cooling module has a good sensor reading before startup, but it has been under high load for a long time in the previous operating cycle, resulting in a relatively low second evaluation score, then the cooling module's restart evaluation score will be affected by both of these factors. On the other hand, if a cooling module has a normal reading before startup and its operating time and frequency in the previous operating cycle are within a reasonable range, its restart evaluation score can be relatively high, thus enabling it to obtain a higher startup priority.

[0116] By combining the newly determined first evaluation score and the second evaluation score from the previous operating cycle upon restart, the startup scheduling of the cooling module can take into account both the current static detection status and the historical health information reflected by the actual operating conditions of the previous operating cycle, thereby achieving continuous health management of multiple cooling modules across different operating cycles.

[0117] As described above, the embodiments of this application, by conducting a lateral health assessment of multiple refrigeration modules before starting the liquid chiller unit and determining the startup sequence based on the assessment results, can prioritize the operation of refrigeration modules with better health status. By further comparing the operating time, condenser fan operating frequency, and compressor operating frequency of multiple refrigeration modules during the operation phase, the differences in operating load between different modules can be identified in a timely manner, and targeted frequency adjustments can be made to fans and compressors that deviate from the reasonable operating range. Furthermore, by combining the pre-startup assessment results and the operation phase assessment results to determine the shutdown sequence and restart sequence, the situation of a single refrigeration module operating at a high load or low load for a long time can be reduced, making the operating burden of multiple refrigeration modules more balanced. While ensuring the cooling capacity of the liquid chiller unit, the long-term operational reliability and operating energy efficiency of the liquid chiller unit are improved.

[0118] Figure 2 The figure shows a structural diagram of a liquid-cooled unit control system provided in this embodiment. The liquid-cooled unit in this embodiment includes multiple refrigeration modules connected in parallel, such as refrigeration module 1 to refrigeration module N, and a liquid supply unit connected to the multiple refrigeration modules. The multiple refrigeration modules can each bear a portion of the cooling load of the liquid-cooled unit, and the controller of the liquid-cooled unit determines the start-up sequence and operating status of each refrigeration module based on the health evaluation results of each module and the current load demand.

[0119] Each refrigeration module may include a refrigeration compressor, a condenser, a condensing fan, an electronic expansion valve, and a plate heat exchanger. These components are connected sequentially to form a refrigerant circulation loop. After being compressed by the refrigeration compressor, the refrigerant enters the condenser for condensation and heat exchange. Then, after being throttled by the electronic expansion valve, it enters the plate heat exchanger, where it exchanges heat with the coolant on the supply side, thereby reducing the coolant temperature. Each refrigeration module may also be equipped with sensors for ambient temperature, suction temperature, discharge temperature, suction pressure, discharge pressure, liquid outlet temperature, and liquid return temperature to acquire the module's monitoring and operational status data.

[0120] Before starting the liquid cooling unit, ambient temperature, intake / exhaust temperature, and intake / exhaust pressure values ​​can be obtained from temperature and pressure sensors installed in each refrigeration module. These values ​​from multiple refrigeration modules for their respective parameters are then used to determine reference data, thereby establishing the initial health assessment result for each module. For example, the average values ​​of the ambient temperature, intake / exhaust temperature, and intake / exhaust pressure values ​​from multiple refrigeration modules can be calculated and used as reference data to evaluate the deviation of a single refrigeration module from the overall performance of the multiple modules.

[0121] The liquid supply unit may include a supply line, a return line, a supply pump, a check valve, a flow sensor, and supply and return liquid temperature and pressure detection components. The supply line connects to plate heat exchangers of multiple refrigeration modules. Coolant cooled by each refrigeration module is delivered to the heat load through the supply line. After absorbing heat from the heat load, the coolant returns to the liquid chiller unit via the return line and re-enters each refrigeration module for heat exchange, thus forming a coolant circulation. The supply temperature set in the supply line can be used as the outlet water temperature after the refrigeration module starts operating, to determine whether the current cooling capacity of the liquid chiller unit meets the load requirements. When the operating frequency of an already started refrigeration module reaches the corresponding condition and the outlet water temperature is still higher than the target set temperature, the next refrigeration module can be started according to a predetermined start-up sequence.

[0122] During the operation of the refrigeration modules, the operating time, condenser fan operating frequency, and compressor operating frequency of each refrigeration module can be acquired. A second health assessment result for each refrigeration module can be determined by comparing the corresponding operating status data of multiple refrigeration modules. When the condenser fan operating frequency or compressor operating frequency of a certain refrigeration module deviates from the corresponding range relative to the average operating frequency of multiple refrigeration modules, the frequency of the condenser fan or compressor of that refrigeration module can be adjusted by increasing or decreasing the frequency to keep the operating load of each refrigeration module within a reasonable range.

[0123] In addition, the liquid supply unit shown in the figure is equipped with liquid addition and reduction pipelines and a system liquid replenishment port, which can replenish the coolant to the coolant circulation loop when the system coolant is insufficient or maintenance is required; the shut-off valves on the liquid supply pipeline and the return pipeline can be used to control the opening and closing of the coolant circulation path; the liquid supply pump is used to drive the coolant to circulate between the refrigeration module, the liquid supply unit and the heat load; the flow sensor and the pump inlet and outlet pressure detection components can be used to monitor the operating status of the liquid supply loop.

[0124] Therefore, the multiple refrigeration modules and liquid supply units shown in the figure together constitute the refrigeration and liquid supply system of the liquid chiller. The detection data such as temperature, pressure and operating frequency set by each refrigeration module can provide a data basis for pre-start health evaluation and in-process health evaluation, and can be further used for the start-up scheduling and operation parameter adjustment of multiple refrigeration modules.

[0125] Figure 3 The flowchart of another liquid chiller control method provided in the embodiment of this application shows that before the liquid chiller is started for the first time, the ambient temperature detection value, suction and exhaust temperature detection value and high and low pressure detection value of multiple refrigeration modules can be obtained respectively, and health evaluation can be performed on different detection data.

[0126] Specifically, for the ambient temperature detection value, the average value of the ambient temperature detection values ​​of multiple refrigeration modules can be calculated, and a first difference between the ambient temperature detection value of each refrigeration module and the average value can be calculated. For example, when the first difference is within ±0.1℃, the corresponding detection status can be determined as good and assigned a first evaluation score corresponding to level A1; when the first difference is greater than ±0.1℃ but within ±0.3℃, the corresponding detection status can be determined as qualified and assigned a first evaluation score corresponding to level B1; when the first difference exceeds ±0.3℃, a first evaluation score corresponding to level C1 can be assigned, and maintenance information can be reported to prompt inspection of the ambient temperature sensor, wiring, and control system for any abnormalities.

[0127] For the intake and exhaust temperature detection values, a similar method can be used to calculate the average of the intake and exhaust temperature detection values ​​of multiple refrigeration modules, and a first difference between the intake and exhaust temperature detection value of each refrigeration module and the corresponding average value can be determined. When the first difference is within ±0.1℃, the first evaluation score corresponding to level A2 can be assigned; when the first difference is greater than the corresponding range of ±0.1℃ but within ±0.3℃, the first evaluation score corresponding to level B2 can be assigned; when the first difference exceeds the range of ±0.3℃, the first evaluation score corresponding to level C2 can be assigned, and the user is prompted to check the intake and exhaust temperature sensors and control system to avoid abnormal detection affecting the subsequent control of components such as the electronic expansion valve.

[0128] For high and low pressure detection values, the average value of the pressure detection values ​​corresponding to multiple refrigeration modules can be calculated, and a first difference between the pressure detection value of each refrigeration module and the corresponding average value can be determined. For example, when the first difference is within ±10 kPa, a first evaluation score corresponding to level A3 can be assigned; when the first difference is greater than ±10 kPa but within ±30 kPa, a first evaluation score corresponding to level B3 can be assigned; when the first difference exceeds ±30 kPa, a first evaluation score corresponding to level C3 can be assigned, and maintenance information can be reported to prompt inspection of the pressure sensor and control system.

[0129] Therefore, corresponding first evaluation scores can be generated for ambient temperature, intake and exhaust temperature, and high and low pressure, respectively. The first health evaluation result of the refrigeration module can be formed by multiple first evaluation scores corresponding to the same refrigeration module, so as to characterize the health status of the refrigeration module under different detection dimensions before the first start-up, and provide an evaluation basis for determining the start-up order of multiple refrigeration modules.

[0130] Figure 4 The flowchart illustrates another liquid-cooled chiller control method provided in this application embodiment. During the operation of the liquid-cooled chiller, the operating time, condenser fan operating frequency, and compressor operating frequency of multiple refrigeration modules that have been started and are running can be acquired, and the average value of the corresponding operating status data of each refrigeration module can be calculated. For each refrigeration module, a second difference between its operating time, condenser fan operating frequency, and compressor operating frequency and the corresponding average value is calculated. A second evaluation score is determined based on the threshold range of the second difference, and the second evaluation scores form the second health evaluation result of the refrigeration module.

[0131] Specifically, regarding operating time, the operating time of a single cooling module can be compared with the average operating time of multiple cooling modules. When the second difference between the two is within a preset normal time range, a higher second evaluation score can be assigned; when the second difference is greater than a positive time threshold, it indicates that the cumulative operating time of the cooling module is relatively long, and the corresponding second evaluation score can be reduced, reminding the user to pay attention to whether the cooling module has reached its maintenance cycle; when the second difference is less than a negative time threshold, it indicates that the cumulative operating time of the cooling module is relatively short, and further prompts to check the device status and operating parameters of the cooling module to determine whether it has not participated in cooling operation normally for a long time.

[0132] Regarding the condenser fan operating frequency, the operating frequency of the condenser fan in each refrigeration module can be compared with the average operating frequency of the condenser fans across multiple refrigeration modules. When the second difference is within the range defined by the positive and negative first frequency thresholds, it indicates that the condenser fan operating frequency is within a relatively reasonable range. When the second difference is greater than the first frequency threshold, it indicates that the condenser fan operating frequency is relatively high, and forced frequency reduction or frequency reduction through capacity adjustment can be selected depending on whether the current operating frequency exceeds the rated frequency. When the second difference is less than the negative first frequency threshold, it indicates that the condenser fan operating frequency is relatively low, and forced frequency increase or frequency increase through capacity adjustment can be selected depending on whether the current operating frequency is lower than the minimum frequency threshold, so that the condenser fan operating frequency returns to near the average condenser fan operating frequency.

[0133] Regarding compressor operating frequency, a similar approach can be used: compare the operating frequency of each refrigeration module's compressor with the average operating frequency of multiple refrigeration modules. When the second difference is within the range defined by the positive and negative second frequency thresholds, it indicates that the compressor operating frequency is relatively reasonable. When the second difference is greater than the second frequency threshold, forced frequency reduction or capacity adjustment frequency reduction can be implemented based on whether the current compressor operating frequency exceeds the rated frequency. When the second difference is less than the negative second frequency threshold, forced frequency increase or capacity adjustment frequency increase can be implemented based on whether the current compressor operating frequency is lower than the minimum oil return frequency threshold, in order to avoid the compressor operating in an excessively high load or excessively low frequency state for a long time.

[0134] Therefore, the balance of the long-term operating load of multiple refrigeration modules can be evaluated by the running time, and the current operating status of the refrigeration modules can be evaluated and adjusted by the operating frequency of the condenser fan and the compressor, thereby forming a second health evaluation result for each refrigeration module, and adjusting the corresponding operating parameters according to the evaluation results.

[0135] Figure 5 A structural diagram of a liquid-cooled unit control device provided in an embodiment of the present invention includes: The determination module 51 is used to acquire pre-start detection data of multiple refrigeration modules, determine reference data for evaluating the health status of each refrigeration module based on the pre-start detection data of the multiple refrigeration modules, and determine a first health evaluation result for each refrigeration module based on the reference data. The control module 52 is used to determine the startup order of the multiple refrigeration modules based on the first health evaluation result of each refrigeration module, and control the refrigeration modules to start and run according to the startup order; The adjustment module 53 is used to determine the second health evaluation result of each refrigeration module based on the operating status data of multiple refrigeration modules during the operation of the refrigeration module, and adjust the operating parameters of the corresponding refrigeration module based on the second health evaluation result.

[0136] In one possible implementation, the pre-start detection data includes: ambient temperature detection value, intake and exhaust temperature detection value, and intake and exhaust pressure detection value; The determining module is specifically used to calculate, for the multiple cooling modules, the average value of multiple ambient temperature detection values ​​as reference data corresponding to the ambient temperature detection values, the average value of multiple intake and exhaust temperature detection values ​​as reference data corresponding to the intake and exhaust temperature detection values, and the average value of multiple intake and exhaust pressure detection values ​​as reference data corresponding to the intake and exhaust pressure detection values. Determine the first difference between each pre-start detection data of each cooling module and the corresponding reference data, and determine the corresponding first evaluation score based on the threshold range in which the first difference is located; The first health evaluation result is determined based on the multiple first evaluation scores corresponding to each of the refrigeration modules.

[0137] In one possible implementation, the control module is specifically used to calculate the first evaluation total score of each refrigeration module based on the multiple first evaluation scores corresponding to each refrigeration module. The multiple refrigeration modules are sorted in descending order of their total scores in the first evaluation. For each of the cooling modules, the pre-startup detection data whose first difference is within the preset abnormal threshold range is determined as abnormal detection data, and when the number of abnormal detection data reaches a preset number, the corresponding cooling module is determined as a module that will not be started temporarily. The modules that are not to be started are excluded from the sorted cooling modules, and the sorting result of the remaining cooling modules is used as the starting order.

[0138] In one possible implementation, the control module is specifically used to determine the initial number of refrigeration modules to be started based on the initial load demand of the liquid chiller unit, and to control the refrigeration modules corresponding to the initial number of modules to start and run to a preset frequency according to the starting sequence. Adjust the operating frequency of the activated cooling module based on the outlet water temperature detected by the activated cooling module; When the operating frequency of all the activated refrigeration modules reaches the preset ratio of the rated frequency, and the temperature difference between the outlet water temperature and the target set temperature reaches the preset temperature difference, the next refrigeration module is controlled to start operation according to the activation sequence.

[0139] In one possible implementation, the operating status data includes: operating time, condenser fan operating frequency, and compressor operating frequency; In one possible implementation, the adjustment module is specifically used to calculate the average value of multiple operating times, the average value of multiple condenser fan operating frequencies, and the average value of multiple compressor operating frequencies for the multiple refrigeration modules. A second difference is determined between each operating status data of each cooling module and its corresponding average value, and a corresponding second evaluation score is determined based on the threshold range in which the second difference falls. The multiple second evaluation scores corresponding to each of the refrigeration modules are used as the second health evaluation results.

[0140] In one possible implementation, the adjustment module is specifically used to perform forced frequency reduction when the second difference corresponding to the operating frequency of the condenser fan is greater than the first frequency threshold, and to perform frequency reduction by capacity adjustment when the operating frequency of the condenser fan is less than or equal to the rated frequency. When the second difference corresponding to the operating frequency of the condenser fan is less than the negative first frequency threshold, forced frequency increase is performed when the operating frequency of the condenser fan is less than the minimum frequency threshold, and frequency increase is performed by capacity adjustment when the operating frequency of the condenser fan is greater than or equal to the minimum frequency threshold. When the second difference corresponding to the compressor operating frequency is greater than the second frequency threshold, forced frequency reduction is performed when the compressor operating frequency is greater than the rated frequency, and frequency reduction is performed by capacity adjustment when the compressor operating frequency is less than or equal to the rated frequency. When the second difference corresponding to the compressor operating frequency is less than the negative second frequency threshold, forced frequency increase is performed when the compressor operating frequency is less than the minimum oil return frequency threshold, and frequency increase is performed by capacity adjustment when the compressor operating frequency is greater than or equal to the minimum oil return frequency threshold. The forced frequency increase, forced frequency decrease and capacity adjustment are used to adjust the operating frequency to a preset range of the corresponding average value.

[0141] In one possible implementation, the control module is further configured to calculate a first total evaluation score based on a plurality of first evaluation scores corresponding to each of the refrigeration modules, and to calculate a second total evaluation score based on a plurality of second evaluation scores corresponding to each of the refrigeration modules; The first evaluation score and the second evaluation score of each of the cooling modules are added together to obtain the comprehensive evaluation score. The shutdown order of the multiple cooling modules is determined according to the comprehensive evaluation score from low to high, and the multiple cooling modules are controlled to shut down sequentially according to the shutdown order. When the liquid cooling unit restarts, a new first evaluation score is determined for each refrigeration module based on the newly acquired pre-start detection data. The new first evaluation score is added to the second evaluation score determined for the corresponding refrigeration module in the previous operating cycle to obtain the restart evaluation score. The startup order of the multiple refrigeration modules is determined according to the restart evaluation scores from high to low.

[0142] The liquid cooling unit control device provided in this embodiment can be as follows: Figure 5 The apparatus shown can perform, as Figure 1 All steps of the method, thus achieving Figure 1 For details on the technical effects of the method shown, please refer to [link / reference]. Figure 1 The relevant descriptions are presented concisely and will not be elaborated upon here.

[0143] Figure 6 This is a structural diagram of a liquid-cooled unit provided in an embodiment of the present invention. Figure 6 The liquid cooling unit 600 shown includes at least one processor 601, a memory 602, at least one network interface 604, and other user interfaces 603. The various components in the liquid cooling unit 600 are coupled together via a bus system 605. It is understood that the bus system 605 is used to implement communication between these components. In addition to a data bus, the bus system 605 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in… Figure 6 The general designated all buses as Bus System 605.

[0144] The user interface 603 may include a display, keyboard, or clicking device (e.g., mouse, trackball, touchpad, or touchscreen).

[0145] It is understood that the memory 602 in this embodiment of the invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate Synchronous DRAM (DDRSDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 602 described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0146] In some implementations, memory 602 stores elements, executable units or data structures, or subsets thereof, or extended sets thereof: operating system 6021 and application program 6022.

[0147] The operating system 6021 includes various system programs, such as the framework layer, core library layer, and driver layer, used to implement various basic business functions and handle hardware-based tasks. The application program 6022 includes various applications, such as a media player and a browser, used to implement various application functions. The program implementing the method of this embodiment can be included in the application program 6022.

[0148] In this embodiment of the invention, by calling the program or instructions stored in memory 602, specifically the program or instructions stored in application program 6022, processor 601 executes the method steps provided in each method embodiment, including, for example: Acquire pre-start detection data of multiple cooling modules, determine reference data for evaluating the health status of each cooling module based on the pre-start detection data of the multiple cooling modules, and determine a first health evaluation result for each cooling module based on the reference data; The startup order of the multiple cooling modules is determined based on the first health evaluation result of each cooling module, and the cooling modules are controlled to start and run in accordance with the startup order; During the operation of the refrigeration module, a second health evaluation result for each refrigeration module is determined based on the operating status data of multiple refrigeration modules, and the operating parameters of the corresponding refrigeration module are adjusted based on the second health evaluation result.

[0149] The methods disclosed in the above embodiments of the present invention can be applied to processor 601, or implemented by processor 601. Processor 601 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 601 or by instructions in the form of software. The processor 601 may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of the present invention can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software units in the decoding processor. The software units may be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 602. Processor 601 reads the information in memory 602 and, in conjunction with its hardware, completes the steps of the above method.

[0150] It is understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described herein, or combinations thereof.

[0151] For software implementation, the techniques described herein can be implemented by units that perform the functions described herein. The software code can be stored in memory and executed by a processor. The memory can be implemented in the processor or external to the processor.

[0152] The liquid cooling unit provided in this embodiment can be as follows: Figure 6 The liquid-cooled unit shown can perform the following operations: Figure 1 All steps of the method, thus achieving Figure 1 For details on the technical effects of the method shown, please refer to [link / reference]. Figure 1 The relevant descriptions are presented concisely and will not be elaborated upon here.

[0153] This invention also provides a storage medium (computer-readable storage medium). This storage medium stores one or more programs. The storage medium may include volatile memory, such as random access memory; it may also include non-volatile memory, such as read-only memory, flash memory, hard disk, or solid-state drive; and it may also include combinations of the above types of memory.

[0154] When one or more programs in the storage medium can be executed by one or more processors to achieve the above-described method of execution on the device side.

[0155] The processor is used to execute a program stored in memory to implement the steps of the method performed on the device side: Acquire pre-start detection data of multiple cooling modules, determine reference data for evaluating the health status of each cooling module based on the pre-start detection data of multiple cooling modules, and determine a first health evaluation result for each cooling module based on the reference data; The startup order of the multiple cooling modules is determined based on the first health evaluation result of each cooling module, and the cooling modules are controlled to start and run in accordance with the startup order; During the operation of the refrigeration module, a second health evaluation result for each refrigeration module is determined based on the operating status data of multiple refrigeration modules, and the operating parameters of the corresponding refrigeration module are adjusted based on the second health evaluation result.

[0156] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0157] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented in hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0158] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A control method for a liquid-cooled unit, characterized in that, The liquid-cooled unit includes multiple refrigeration modules, and the method includes: Acquire pre-start detection data of multiple cooling modules, determine reference data for evaluating the health status of each cooling module based on the pre-start detection data of multiple cooling modules, and determine a first health evaluation result for each cooling module based on the reference data; The startup order of the multiple cooling modules is determined based on the first health evaluation result of each cooling module, and the cooling modules are controlled to start and run in accordance with the startup order; During the operation of the refrigeration module, a second health evaluation result for each refrigeration module is determined based on the operating status data of multiple refrigeration modules, and the operating parameters of the corresponding refrigeration module are adjusted based on the second health evaluation result.

2. The method according to claim 1, characterized in that, The pre-startup detection data includes: ambient temperature detection value, intake and exhaust temperature detection value, and intake and exhaust pressure detection value; The step of determining reference data for evaluating the health status of each of the multiple refrigeration modules based on pre-start detection data, and determining a first health evaluation result for each refrigeration module based on the reference data, includes: For the multiple cooling modules, the average value of multiple ambient temperature detection values ​​is calculated as the reference data corresponding to the ambient temperature detection value, the average value of multiple intake and exhaust temperature detection values ​​is calculated as the reference data corresponding to the intake and exhaust temperature detection value, and the average value of multiple intake and exhaust pressure detection values ​​is calculated as the reference data corresponding to the intake and exhaust pressure detection value. Determine the first difference between each pre-start detection data of each cooling module and the corresponding reference data, and determine the corresponding first evaluation score based on the threshold range in which the first difference is located; The first health evaluation result is determined based on the multiple first evaluation scores corresponding to each of the refrigeration modules.

3. The method according to claim 2, characterized in that, The step of determining the startup order of the multiple cooling modules based on the first health evaluation result of each cooling module includes: Calculate the total first evaluation score for each cooling module based on the multiple first evaluation scores corresponding to each cooling module; The multiple refrigeration modules are sorted in descending order of their total scores in the first evaluation. For each of the cooling modules, the pre-startup detection data whose first difference is within the preset abnormal threshold range is determined as abnormal detection data, and when the number of abnormal detection data reaches a preset number, the corresponding cooling module is determined as a module that will not be started temporarily. The modules that are not to be started are excluded from the sorted cooling modules, and the sorting result of the remaining cooling modules is used as the starting order.

4. The method according to claim 3, characterized in that, The step of controlling the refrigeration module to start and operate according to the startup sequence includes: The initial number of refrigeration modules to be started is determined based on the initial load requirement of the liquid chiller unit, and the refrigeration modules corresponding to the initial number of modules to be started and operated to a preset frequency are controlled according to the starting sequence. Adjust the operating frequency of the activated cooling module based on the outlet water temperature detected by the activated cooling module; When the operating frequency of all the activated refrigeration modules reaches the preset ratio of the rated frequency, and the temperature difference between the outlet water temperature and the target set temperature reaches the preset temperature difference, the next refrigeration module is controlled to start operation according to the activation sequence.

5. The method according to claim 1, characterized in that, The operating status data includes: operating time, condenser fan operating frequency, and compressor operating frequency; The step of determining the second health evaluation result for each of the multiple refrigeration modules based on their operating status data includes: For the multiple refrigeration modules, calculate the average of multiple operating times, the average of multiple condenser fan operating frequencies, and the average of multiple compressor operating frequencies; A second difference is determined between each operating status data of each cooling module and its corresponding average value, and a corresponding second evaluation score is determined based on the threshold range in which the second difference falls. The multiple second evaluation scores corresponding to each of the refrigeration modules are used as the second health evaluation results.

6. The method according to claim 5, characterized in that, The step of adjusting the operating parameters of the corresponding cooling module based on the second health assessment result includes: When the second difference corresponding to the operating frequency of the condenser fan is greater than the first frequency threshold, forced frequency reduction is performed when the operating frequency of the condenser fan is greater than the rated frequency, and frequency reduction is performed by capacity adjustment when the operating frequency of the condenser fan is less than or equal to the rated frequency. When the second difference corresponding to the operating frequency of the condenser fan is less than the negative first frequency threshold, forced frequency increase is performed when the operating frequency of the condenser fan is less than the minimum frequency threshold, and frequency increase is performed by capacity adjustment when the operating frequency of the condenser fan is greater than or equal to the minimum frequency threshold. When the second difference corresponding to the compressor operating frequency is greater than the second frequency threshold, forced frequency reduction is performed when the compressor operating frequency is greater than the rated frequency, and frequency reduction is performed by capacity adjustment when the compressor operating frequency is less than or equal to the rated frequency. When the second difference corresponding to the compressor operating frequency is less than the negative second frequency threshold, forced frequency increase is performed when the compressor operating frequency is less than the minimum oil return frequency threshold, and frequency increase is performed by capacity adjustment when the compressor operating frequency is greater than or equal to the minimum oil return frequency threshold. The forced frequency increase, forced frequency decrease and capacity adjustment are used to adjust the operating frequency to a preset range of the corresponding average value.

7. The method according to claim 5, characterized in that, The method further includes: A first total evaluation score is calculated based on multiple first evaluation scores corresponding to each of the cooling modules, and a second total evaluation score is calculated based on multiple second evaluation scores corresponding to each of the cooling modules. The first evaluation score and the second evaluation score of each of the cooling modules are added together to obtain the comprehensive evaluation score. The shutdown order of the multiple cooling modules is determined according to the comprehensive evaluation score from low to high, and the multiple cooling modules are controlled to shut down sequentially according to the shutdown order. When the liquid cooling unit restarts, a new first evaluation score is determined for each refrigeration module based on the newly acquired pre-start detection data. The new first evaluation score is added to the second evaluation score determined for the corresponding refrigeration module in the previous operating cycle to obtain the restart evaluation score. The startup order of the multiple refrigeration modules is determined according to the restart evaluation scores from high to low.

8. A control device for a liquid-cooled unit, characterized in that, include: A determination module is used to acquire pre-start detection data of multiple refrigeration modules, determine reference data for evaluating the health status of each refrigeration module based on the pre-start detection data of the multiple refrigeration modules, and determine a first health evaluation result for each refrigeration module based on the reference data. The control module is used to determine the startup order of the multiple refrigeration modules based on the first health evaluation result of each refrigeration module, and to control the refrigeration modules to start and run according to the startup order; An adjustment module is used to determine a second health evaluation result for each of the cooling modules based on the operating status data of multiple cooling modules during the operation of the cooling module, and to adjust the operating parameters of the corresponding cooling module based on the second health evaluation result.

9. A liquid-cooled unit, characterized in that, include: A processor and a memory, the processor being configured to execute a liquid-cooled unit control program stored in the memory to implement the liquid-cooled unit control method according to any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores one or more programs, which can be executed by one or more processors to implement the liquid-cooled unit control method according to any one of claims 1 to 7.

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