Intelligent distribution method and system for cooling liquid of liquid-cooled cabinet

Abstract

The invention relates to a liquid cooling cabinet cooling liquid intelligent distribution method and system, and belongs to the liquid cooling field, the method comprises the following steps: S1, data collection: monitoring server equipment temperature information and cooling system information in real time; s2, judging the running state: comparing the monitoring information in the above step with a preset parameter threshold value, and judging the current cooling state; s3, adjusting the flow of the cooling liquid: dynamically adjusting the flow of the cooling liquid of the liquid cooling system according to the cooling state; and S4, performing abnormal early warning: continuing to perform data collection in real time after the flow is adjusted, judging the cooling state according to the collected information, returning to the step S3 until the temperature of the server returns to normal, and performing early warning when normal cooling cannot be performed. According to the method and the device provided by the invention, the stable and efficient operation of the server equipment is ensured through the steps of real-time monitoring, state judgment, flow adjustment, cooling state judgment, abnormal early warning, record feedback and the like.

Description

Technical Field

[0001] The present invention belongs to the field of liquid cooling, and in particular relates to a method and system for intelligently distributing cooling liquid in a liquid cooling cabinet. Background Art

[0002] With the high density and high performance of electronic equipment, heat dissipation technology has become a key factor restricting its performance. Traditional air cooling technology can no longer meet the heat dissipation needs of high-power electronic equipment due to its limited heat dissipation capacity. Therefore, liquid cooling technology came into being and became an effective way to solve the heat dissipation problem of high-power electronic equipment. Liquid cooling cabinets, as a specific application form of liquid cooling technology, can achieve efficient heat transfer by using liquid as a cooling medium, providing guarantee for the stable operation of high-power electronic equipment. However, in actual applications, due to the distribution problem of coolant in liquid cooling cabinets, the cooling effect of some equipment in the cabinet is often poor, and even the equipment is overheated and damaged. Therefore, how to realize the intelligent distribution of coolant in liquid cooling cabinets and improve the cooling effect has become a problem that needs to be solved urgently. Summary of the invention

[0003] In view of the above shortcomings of the prior art, the purpose of the invention is to provide a method and system for intelligently distributing coolant in a liquid-cooled cabinet, thereby improving the cooling efficiency of the liquid cooler.

[0004] A first aspect of the present invention provides a method for intelligently distributing coolant in a liquid-cooled cabinet, which is characterized by comprising: S1: Data collection: real-time monitoring of server equipment temperature information and cooling system information; S2: Determine the operating status: compare the monitoring information in the above steps with the preset parameter threshold to determine the current cooling status; S3: Adjust the coolant flow rate: dynamically adjust the coolant flow rate of the liquid cooling system according to the cooling status; S4: abnormal warning: continue to collect data in real time after adjusting the flow, and judge the cooling status based on the collected information, and return to step S3 until the server temperature returns to normal, and issue a warning if the temperature cannot be cooled normally; S5: Recording and feedback: The monitoring system records abnormal warnings in the log and generates warning information.

[0005] Furthermore, the temperature information of the server equipment detected in S1 requires that the server equipment be individually numbered and multiple temperature monitoring points be set at different parts of the server equipment. The temperature monitoring points are numbered in sequence according to the distance from the cooling system.

[0006] Furthermore, the cooling system information in S1 includes: coolant temperature information, coolant flow information and coolant pressure information.

[0007] Furthermore, the cooling status in S2 is divided into normal, overheated, and overcooled; the preset parameter thresholds include the server equipment operating temperature threshold, the coolant temperature threshold, and the coolant pressure threshold.

[0008] Furthermore, the cooling state includes normal cooling and too slow cooling.

[0009] Furthermore, the adjustment calculation formula is as follows: ; in, Measure temperature, is the temperature of the jth temperature node of the ith device, ; in, is the adjusted flow rate, Basic flow, Adjustment factor, Measure temperature, Target temperature.

[0010] Further, the abnormal state early warning method is as follows: Pressure warning threshold ,in, is the minimum working value of coolant pressure, is the maximum working value of coolant pressure; When a cooling time warning is performed, the warning time is determined based on step S5 and the working status of the equipment.

[0011] In a second aspect of the present invention, a liquid cooling cabinet cooling liquid intelligent subsystem is provided, the system comprising: Data collection module; used to monitor server equipment temperature information, cooling system information and environmental information in real time; Temperature monitoring point management module: used to number and configure the temperature monitoring points of each server device; Threshold setting module: used to set preset parameter thresholds, including server equipment operating temperature threshold, coolant temperature threshold and pressure threshold; A cooling state judgment module is used to judge the current cooling state according to the collected data and the preset threshold value; A flow adjustment module is used to dynamically adjust the coolant flow of the liquid cooling system according to the current cooling state; A cooling state judgment module is used to judge the cooling state according to real-time data after adjusting the flow rate; The log recording and feedback module is used to record abnormal warnings in the log and generate warning information for feedback.

[0012] Furthermore, it also includes a data correction module, which is used to eliminate misplaced and duplicated data collected by the data collection module.

[0013] Furthermore, the traffic adjustment modules are arranged in multiple groups according to the server devices, and each group of traffic adjustment modules corresponds to each server device one by one.

[0014] The beneficial effects of the present invention are as follows: The present invention provides a comprehensive and efficient intelligent distribution method for coolant in a liquid cooling cabinet, and designs a corresponding intelligent subsystem. The method ensures the stable and efficient operation of the server equipment through the steps of real-time monitoring, state judgment, flow adjustment, cooling state judgment, abnormal warning and record feedback. At the same time, the system structure is clear, and the modules work together to enhance the reliability and efficiency of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are only used to illustrate specific embodiments and are not considered to limit the present invention. In the entire drawings, the same reference symbols represent the same components. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0016] Figure 1 This is a flow chart of a method for intelligently distributing coolant in a liquid-cooled cabinet according to an embodiment of the present invention; Figure 2 A schematic diagram of a coolant intelligent subsystem for a liquid-cooled cabinet according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the connection between the traffic adjustment module and the server according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making creative work should fall within the scope of protection of the present invention.

[0018] Furthermore, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts disclosed in the present invention.

[0019] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0020] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of methods and systems consistent with some aspects of the present invention as detailed in the appended claims.

[0021] The present invention provides a method and system for intelligently distributing cooling liquid in a liquid cooling cabinet, thereby improving the cooling efficiency of a liquid cooling machine.

[0022] Method Embodiment The present invention provides a method for intelligently distributing cooling liquid in a liquid-cooled cabinet. Specifically, the method includes: S1: Data collection: real-time monitoring of server equipment temperature information and cooling system information; S2: Determine the operating status: compare the monitoring information in the above steps with the preset parameter threshold to determine the current cooling status; S3: Adjust the coolant flow rate: dynamically adjust the coolant flow rate of the liquid cooling system according to the cooling status; S4: abnormal warning: continue to collect data in real time after adjusting the flow, and judge the cooling status based on the collected information, and return to step S3 until the server temperature returns to normal, and issue a warning if the temperature cannot be cooled normally; S5: Recording and feedback: The monitoring system records abnormal warnings in the log and generates warning information.

[0023] Furthermore, the temperature information of the server equipment detected in S1 requires that the server equipment be individually numbered and multiple temperature monitoring points be set at different parts of the server equipment. The temperature monitoring points are numbered in sequence according to the distance from the cooling system.

[0024] Furthermore, the cooling system information in S1 includes: coolant temperature information, coolant flow information and coolant pressure information.

[0025] Furthermore, the cooling status in S2 is divided into normal, overheated, and overcooled; the preset parameter thresholds include the server equipment operating temperature threshold, the coolant temperature threshold, and the coolant pressure threshold.

[0026] Furthermore, the cooling state includes normal cooling and too slow cooling.

[0027] Furthermore, the adjustment calculation formula is as follows: ; in, Measure temperature, is the temperature of the jth temperature node of the ith device, ; in, is the adjusted flow rate, Basic flow, Adjustment factor, Measure temperature, Target temperature.

[0028] Further, the abnormal state early warning method is as follows: Pressure warning threshold ,in, is the minimum working value of coolant pressure, is the maximum working value of coolant pressure; When a cooling time warning is performed, the warning time is determined based on step S5 and the working status of the equipment.

[0029] In step S1, the system monitors the temperature information of the server equipment in real time through the temperature sensor. In order to more accurately monitor the temperature distribution of the server, each server equipment needs to be individually numbered and multiple temperature monitoring points need to be set in different locations. These temperature monitoring points can be numbered in sequence according to the distance from the cooling system to better understand the flow and heat dissipation of the coolant. At the same time, the system will also collect relevant information about the cooling system, including coolant temperature, coolant flow, and coolant pressure.

[0030] In step S2, the system compares the collected real-time data with the preset parameter thresholds to determine the current cooling status. The preset parameter thresholds include server equipment operating temperature thresholds, coolant temperature thresholds, and coolant pressure thresholds. By comparing the real-time data with the thresholds, the system can determine whether the current cooling status is normal, overheated, or overcooled.

[0031] In step S3, the system dynamically adjusts the coolant flow of the liquid cooling system according to the determined cooling status. If the server device temperature is too high, the system will increase the coolant flow to enhance the heat dissipation effect; conversely, if the server device temperature is too low, the system will reduce the coolant flow to reduce heat dissipation. The process of adjusting the flow can be achieved through a control valve, and the opening of the control valve can be accurately controlled according to the real-time temperature information and the target temperature.

[0032] In step S4, the system continues to monitor data in real time after adjusting the flow rate, and determines the cooling status based on the collected information. If the server temperature cannot return to normal within a reasonable time, the system will issue an early warning message. The early warning information includes the type of abnormal state, the time of occurrence, and the possible cause. The early warning information can remind maintenance personnel to deal with the problem in time through sound, light, and other means. In addition, the system will classify the abnormal state according to the type and severity, and take corresponding early warning measures. For example, when the coolant pressure is lower than the minimum working value, the system will issue a pressure warning; when the server cooling time is too long, the system will issue a cooling time warning. The warning time can be judged based on the working status and historical data of the equipment to ensure that problems are discovered in time and corresponding measures are taken.

[0033] In step S5, the monitoring system records the abnormal warning in the log and generates warning information for feedback. The log record includes information such as the type, occurrence time, and duration of the abnormal state for subsequent analysis and processing. At the same time, the warning information can also be sent to relevant personnel through text messages, emails, etc., so that they can understand and handle the abnormal situation in a timely manner. These feedback information is of great significance for maintaining the stable operation of the system and improving the reliability of the equipment.

[0034] In addition, in order to improve the accuracy and reliability of data, the system may also include a data correction module. This module is responsible for cleaning and sorting the collected data, eliminating misplaced and duplicate data, and ensuring the accuracy and reliability of the data. This is crucial for subsequent steps such as status judgment and flow adjustment.

[0035] In summary, this implementation method achieves precise control of server equipment temperature and intelligent distribution of coolant flow through real-time monitoring, state judgment, flow adjustment, cooling state judgment, abnormal warning and record feedback. At the same time, through the design of system structure and the coordinated work of various modules, the stable and efficient operation of the entire system is ensured.

[0036] System Example Another specific embodiment of the present invention discloses a liquid cooling cabinet cooling liquid intelligent subsystem, the system comprising: Data collection module 100; used to monitor server equipment temperature information, cooling system information and environmental information in real time; Temperature monitoring point management module 200: used to number and configure the temperature monitoring points of each server device; Threshold setting module 300: used to set preset parameter thresholds, including server equipment operating temperature threshold, coolant temperature threshold and pressure threshold; A cooling state determination module 400 is used to determine the current cooling state according to the collected data and a preset threshold value; A flow adjustment module 500, used to dynamically adjust the coolant flow of the liquid cooling system according to the current cooling state; A cooling state judgment module 600 is used to judge the cooling state according to real-time data after adjusting the flow rate; The log recording and feedback module 700 is used to record abnormal warnings in the log and generate warning information for feedback.

[0037] Furthermore, it also includes a data correction module 110, and the data correction module 110 is used to eliminate the misaligned and duplicated data collected by the data collection module.

[0038] Furthermore, the traffic adjustment modules are arranged in multiple groups according to the server devices, and each group of traffic adjustment modules corresponds to each server device one by one.

[0039] Through the coordinated work of the above components, this liquid cooling cabinet coolant intelligent subsystem can achieve precise control of server equipment temperature and intelligent distribution of coolant flow. At the same time, the system has a clear structure and clear division of labor among modules, which enhances the stability and reliability of the entire system and provides strong support for ensuring the normal operation of server equipment.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. Any changes or replacements that can be easily thought of by those skilled in the art within the technical scope disclosed in the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for intelligently distributing coolant in a liquid-cooled cabinet, characterized in that: include: S1: Data collection: real-time monitoring of server equipment temperature information and cooling system information; S2: Determine the operating status: compare the monitoring information in the above steps with the preset parameter threshold to determine the current cooling status; S3: Adjust the coolant flow rate: dynamically adjust the coolant flow rate of the liquid cooling system according to the cooling status; S4: abnormal warning: continue to collect data in real time after adjusting the flow, and judge the cooling status based on the collected information, and return to step S3 until the server temperature returns to normal, and issue a warning if the temperature cannot be cooled normally; S5: Recording and feedback: The monitoring system records abnormal warnings in the log and generates warning information.

2. The method for intelligently distributing coolant in a liquid-cooled cabinet according to claim 1, characterized in that: The temperature information of the server equipment detected in S1 requires that the server equipment be individually numbered and multiple temperature monitoring points be set at different parts of the server equipment. The temperature monitoring points are numbered in sequence according to the distance from the cooling system.

3. The method for intelligently distributing coolant in a liquid-cooled cabinet according to claim 2, characterized in that: The cooling system information in S1 includes: coolant temperature information, coolant flow information and coolant pressure information.

4. The method for intelligently distributing coolant in a liquid-cooled cabinet according to claim 3, characterized in that: The cooling status in S2 is divided into normal, overheated, and overcooled; the preset parameter thresholds include the server equipment operating temperature threshold, the coolant temperature threshold, and the coolant pressure threshold.

5. The method for intelligently distributing coolant in a liquid-cooled cabinet according to claim 4, characterized in that: The cooling state includes normal cooling and too slow cooling.

6. The method for intelligently distributing coolant in a liquid-cooled cabinet according to claim 5, characterized in that: The adjustment calculation formula is as follows: ； in, Measure temperature, is the temperature of the jth temperature node of the ith device, ； in, is the adjusted flow rate, Basic flow, Adjustment factor, Measure temperature, Target temperature.

7. The method for intelligently distributing coolant in a liquid-cooled cabinet according to claim 6, characterized in that: The abnormal state early warning method is as follows: Pressure warning threshold ,in, is the minimum working value of coolant pressure, is the maximum working value of coolant pressure; When a cooling time warning is performed, the warning time is determined based on step S5 and the working status of the equipment.

8. A liquid cooling cabinet coolant intelligent subsystem, characterized in that: Used to implement the method for intelligently distributing coolant for a liquid-cooled cabinet according to any one of claims 1 to 7, the system comprises: Data collection module: used to monitor server equipment temperature information, cooling system information and environmental information in real time; Temperature monitoring point management module: used to number and configure the temperature monitoring points of each server device; Threshold setting module: used to set preset parameter thresholds, including server equipment operating temperature threshold, coolant temperature threshold and pressure threshold; A cooling state judgment module is used to judge the current cooling state according to the collected data and the preset threshold value; A flow adjustment module is used to dynamically adjust the coolant flow of the liquid cooling system according to the current cooling state; A cooling state judgment module is used to judge the cooling state according to real-time data after adjusting the flow rate; The log recording and feedback module is used to record abnormal warnings in the log and generate warning information for feedback.

9. The system according to claim 8, characterized in that It also includes a data correction module, which is used to eliminate misplaced and duplicated data collected by the data collection module.

10. The system according to claim 9, characterized in that The flow adjustment modules are arranged in multiple groups according to the server devices, and each group of flow adjustment modules corresponds to each server device one by one.

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