Intelligent control method of environment-friendly intelligent immersed single-phase liquid cooling system

Abstract

The invention discloses an intelligent control method of an environment-friendly intelligent immersed single-phase liquid cooling system, and relates to the technical field of data center liquid cooling heat dissipation and intelligent operation and maintenance control. The existing immersed single-phase liquid cooling system generally has the problems of simple control logic, dependence on manual inspection and liquid supplementation, difficulty in realizing fine heat dissipation adjustment according to load change and incapability of meeting long-term unattended safe operation of high-power consumption equipment. According to the intelligent control method, multi-source data such as the TANK temperature, the liquid level and the running state of the heat dissipation tower are collected, the data are processed, the running working condition of the system is recognized, control instructions for cooling liquid circulation, graded heat dissipation and automatic liquid supplementing are generated according to the recognition result, and related execution components are driven to run in a linkage mode; and operation data are recorded, uploaded and optimized, so that closed-loop intelligent control is realized. The method is suitable for high-power-consumption data centers, edge computing nodes and other immersed single-phase liquid cooling heat dissipation and intelligent operation and maintenance scenes needing long-term stable and unattended operation.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for immersion cooling in data centers, specifically to control methods for environmentally friendly intelligent immersion single-phase liquid cooling systems. Background Technology

[0002] In recent years, with the continuous increase in heat and power consumption of data centers, efficient, environmentally friendly, and intelligently controlled immersion liquid cooling technology has been widely used in data center thermal management systems. Especially in scenarios with high power consumption, limited space, stringent environmental requirements, and insufficient management personnel, intelligent immersion single-phase liquid cooling systems have become an important way to achieve intelligent thermal management and improve equipment efficiency in data centers. Currently, various liquid cooling system solutions exist on the market, such as air cooling, cold plate cooling, two-phase immersion liquid cooling, and single-phase immersion liquid cooling systems.

[0003] In existing technologies, research on thermal management primarily focuses on heat conduction. For example, some solutions employ two-phase liquid cooling control systems, achieving heat conduction through the boiling of the coolant; others propose using cold plates for conduction, dissipating heat only from the largest heat source (such as the GPU). However, these systems are often limited by low heat output, large temperature differences during conduction, high energy consumption, and environmental leakage issues, making it difficult to meet the intelligent management needs of high-energy-consuming scenarios. Furthermore, the construction and maintenance costs of these cooling systems are high, requiring regular manual replenishment of the coolant, and there are environmental impacts from leaks of fluorinated liquids in emergencies such as equipment damage or disasters.

[0004] In the field of liquid cooling, most data center facilities currently use single-cycle systems. These systems require frequent coolant replenishment, involve extensive manual operation, and are prone to leaks and waste. While air cooling eliminates leaks, it suffers from high noise levels, significant power consumption, and high operating costs. Although a single-phase liquid cooling system can alleviate the problem of frequent replacements to some extent, it lacks intelligent control and remote safety management capabilities, making long-term autonomous operation difficult.

[0005] Furthermore, while some technologies propose intelligent management models to improve system independence through intelligent control, these systems generally focus on the simple management of ordinary fluorinated coolants, failing to achieve integrated intelligent control in areas such as customized coolants, safe storage, temperature monitoring, combined gas-electricity supply scheduling, remote data analysis, and anomaly early warning. Especially in unattended or long-term operating environments, the lack of a comprehensive automated management mechanism and multi-level monitoring system for customized coolants makes it difficult to avoid environmental and safety hazards caused by inaccurate automatic control, leaks, abnormal temperatures, or equipment failures.

[0006] In summary, existing technologies suffer from drawbacks such as low intelligence in the heat dissipation system, reliance on manual coolant management, lack of multi-level linkage energy-saving and safety control mechanisms, and difficulty in achieving long-term unattended stable operation based on environmentally friendly single-phase coolant. Summary of the Invention

[0007] To address the shortcomings of existing technologies, such as low intelligence levels in heat dissipation systems, reliance on manual coolant management, lack of multi-level linkage energy-saving and safety control mechanisms, and difficulty in achieving long-term unattended stable operation based on environmentally friendly single-phase coolant, the technical solution provided by this invention is as follows: An intelligent control method for an environmentally friendly intelligent immersion single-phase liquid cooling system includes: The steps to perform system initialization include device identification, parameter loading and logical mapping, and generating a set of system operating parameters. The steps involved in collecting TANK temperature, TANK liquid level, heat dissipation tower temperature and operating status information based on the system operating parameter set, forming multi-source operating data and outputting it. The steps to perform validity verification and processing on multi-source runtime data, obtain a valid runtime dataset, and output it. The steps to determine the system's operating condition based on the valid operating dataset, generate the corresponding system status identifier, and output it. The steps for generating and outputting control commands for the TANK pump, radiator return pump, radiator fan, radiator water pump and replenishment solenoid valve based on system status identifiers; The steps involve driving the corresponding actuators to complete heat dissipation adjustment and automatic liquid replenishment according to control commands, and generating execution feedback information. The steps of recording and uploading operational data, system status, and execution feedback enable operational monitoring and parameter optimization.

[0008] Furthermore, in a preferred embodiment, the method further includes configuring the range, zero point, sampling period, and alarm threshold of each sensor, and establishing a one-to-one correspondence between the sensors and the actuators.

[0009] Furthermore, in a preferred embodiment, the collected multi-source operating data includes at least temperature data and liquid level data for different TANK areas, as well as temperature and operating status data corresponding to the heat sink.

[0010] Furthermore, in a preferred embodiment, during the validity verification and processing of multi-source operational data, trend judgment is performed on the continuous sampling results and abnormal fluctuation data is removed.

[0011] Furthermore, in a preferred embodiment, in determining the system operating conditions, the system state is divided into normal operating state, energy-saving operating state, enhanced heat dissipation state, and safety response state based on the effective operating data set.

[0012] Furthermore, in a preferred embodiment, the control command generation process includes tiered start-up and shutdown control of the TANK pump, radiator return pump, radiator fan, and radiator water pump based on the system status identifier. Based on the same inventive concept, this invention also provides an intelligent control device for an environmentally friendly intelligent immersion single-phase liquid cooling system, comprising: This module performs system initialization, completes device identification, parameter loading and logical mapping, and generates a set of system operating parameters. This module collects TANK temperature, TANK liquid level, heat dissipation tower temperature and operating status information based on the system operating parameter set, and generates and outputs multi-source operating data. This module performs validity verification and processing on multi-source runtime data to obtain and output a valid runtime dataset. The module determines the system's operating condition based on the valid operating dataset, generates the corresponding system status identifier, and outputs it. A module that generates and outputs control commands for the TANK pump, cooling tower return pump, cooling tower fan, cooling tower water pump, and replenishment solenoid valve based on system status identifiers; A module that drives the corresponding execution components to complete heat dissipation adjustment and automatic liquid replenishment according to control commands, and generates execution feedback information; This module records and uploads operational data, system status, and execution feedback, enabling operational monitoring and parameter optimization.

[0013] Based on the same inventive concept, the present invention also provides a computer storage medium for storing a computer program, wherein when the computer program is read by a computer, the computer executes the method described thereon.

[0014] Based on the same inventive concept, the present invention also provides a computer, including a processor and a storage medium, wherein when the processor reads a computer program stored in the storage medium, the computer executes the method described thereon.

[0015] Based on the same inventive concept, the present invention also provides a computer program product, which, when executed, implements the method described.

[0016] Compared with the prior art, the advantages of the technical solution provided by the present invention are as follows: By arranging temperature sensors, level sensors, and flow sensors within multiple tank containers, and having them collected and analyzed uniformly by an intelligent controller, multi-dimensional sensing of the operating status of an immersion single-phase liquid cooling system is achieved. This effect is mainly due to the structure and control method of "multiple tank temperature sensors, tank level sensors, tank flow sensors, and intelligent controller working in concert." Compared to existing technologies that rely solely on single-point temperature or empirical thresholds for coarse control, this solution can accurately reflect changes in heat load under different areas and operating conditions, providing a reliable data foundation for subsequent refined heat dissipation and safety control.

[0017] By installing a backup coolant storage tank, a tank level sensor, and a solenoid valve, and with an intelligent controller automatically performing replenishment and shut-off operations based on the liquid level threshold, automated and safe management of the coolant is achieved. This effect stems from the "automatic replenishment control implementation method between the backup coolant storage tank and the TANK container." Compared to existing single-phase liquid cooling systems that generally rely on manual inspection and replenishment, this feature effectively avoids reduced heat dissipation performance or equipment risks due to insufficient liquid level, enabling the system to operate stably for extended periods under unattended conditions.

[0018] By linking the internal coolant circulation of the tank with multi-stage heat dissipation towers, and by activating the tank pump, heat dissipation tower return pump, and heat dissipation tower fan in stages according to different temperature ranges, an energy-saving heat dissipation control effect of on-demand start-stop is achieved. This effect is mainly brought about by the "automated energy-saving heat dissipation implementation method". Compared with the fixed strategy of long-term full-load operation of fans or pumps in existing technologies, this solution can reduce energy consumption at low loads and respond quickly at high loads, significantly improving the overall energy efficiency ratio of the system and extending the service life of equipment.

[0019] By introducing a water tank and pump into the heat dissipation tower under high power consumption or extreme operating conditions, a high power consumption protection heat dissipation mechanism is constructed to physically cool the heat dissipation tower fins through atomized water spray. This effect is derived from the "Implementation Method of High Power Consumption Protection Heat Dissipation Mechanism". Compared with existing technologies that rely solely on air cooling or liquid convection heat transfer, this feature provides additional safety redundancy under abnormally high temperature conditions, not only enhancing the system's heat dissipation capacity but also reducing the risk of safety accidents caused by overheating of the heat dissipation tower.

[0020] By using an intelligent controller to record, upload, and remotely visualize data from various sensors, the status of actuators, and power consumption, remote monitoring and operational status awareness of the liquid cooling system are achieved. This effect is mainly due to the system architecture of "intelligent controller and remote monitoring platform working together." Compared to the current research status of liquid cooling systems, which mostly focuses on local control or simple alarms, this solution enables centralized management of operational data, trend analysis, and anomaly early warning, providing decision support for maintenance personnel and significantly reducing maintenance costs.

[0021] By employing a fluorine-free, environmentally friendly single-phase coolant and designing a system around its high dielectric strength, low evaporation loss, and long lifespan, a comprehensive improvement in heat dissipation performance, environmental friendliness, and lightweight structure is achieved. This effect stems from the "system coupling design based on the characteristics of the environmentally friendly single-phase coolant." Compared to existing solutions that largely use fluorinated or low-boiling-point coolants, this feature effectively reduces environmental risks and operational losses, providing a superior technical path for the long-term, low-carbon operation of data centers.

[0022] By introducing a dual-circuit power supply design on the power side and combining it with the controller's data caching and breakpoint resume mechanism, the system's ability to operate continuously and ensure data integrity under power outages or communication failures is improved. This effect is mainly due to the "safe operation design of the power supply and intelligent controller." Compared to existing liquid-cooled control systems that do not adequately consider abnormal operating conditions, this solution forms a closed-loop guarantee in terms of reliability and safety, further supporting the technical goals of unattended operation and long-term stable operation.

[0023] It is suitable for immersion single-phase liquid cooling and intelligent operation and maintenance management in high-power data centers, edge computing nodes and other electronic devices that require long-term unattended operation. Attached Figure Description

[0024] Figure 1 A schematic diagram of an environmentally friendly intelligent immersion single-phase liquid cooling system; Among them, 1 is the TANK container, 2 is the TANK temperature sensor, 3 is the TANK level sensor, 4 is the TANK flow sensor, 5 is the TANK pump, 6 is the spare coolant storage tank, 7 is the storage tank level sensor, 8 is the storage tank solenoid valve, 9 is the heat dissipation tower, 10 is the heat dissipation tower temperature sensor, 11 is the heat dissipation tower flow sensor, 12 is the heat dissipation tower reflux pump, 13 is the heat dissipation tower fan, 14 is the heat dissipation tower water tank, 15 is the heat dissipation tower water tank level sensor, 16 is the heat dissipation tower water pump, 17 is the power supply, and 18 is the intelligent controller. Detailed Implementation

[0025] To make the advantages and benefits of the technical solution provided by the present invention clearer, the technical solution provided by the present invention will now be described in further detail with reference to the accompanying drawings, specifically: Implementation Method 1: This implementation method provides an intelligent control method for an environmentally friendly intelligent immersion single-phase liquid cooling system, including: The steps to perform system initialization include device identification, parameter loading and logical mapping, and generating a set of system operating parameters. The steps involved in collecting TANK temperature, TANK liquid level, heat dissipation tower temperature and operating status information based on the system operating parameter set, forming multi-source operating data and outputting it. The steps to perform validity verification and processing on multi-source runtime data, obtain a valid runtime dataset, and output it. The steps to determine the system's operating condition based on the valid operating dataset, generate the corresponding system status identifier, and output it. The steps for generating and outputting control commands for the TANK pump, radiator return pump, radiator fan, radiator water pump and replenishment solenoid valve based on system status identifiers; The steps involve driving the corresponding actuators to complete heat dissipation adjustment and automatic liquid replenishment according to control commands, and generating execution feedback information. The steps of recording and uploading operational data, system status, and execution feedback enable operational monitoring and parameter optimization.

[0026] It also includes the steps of configuring the range, zero point, sampling period and alarm threshold of each sensor, and establishing a one-to-one correspondence between the sensors and the actuators.

[0027] The collected multi-source operational data includes at least temperature data and liquid level data for different TANK areas, as well as temperature and operational status data for the corresponding heat dissipation towers.

[0028] In the process of validating and processing multi-source operational data, trend judgment is performed on continuous sampling results and abnormal fluctuation data is removed.

[0029] In determining the system's operating conditions, the system status is divided into normal operation status, energy-saving operation status, enhanced heat dissipation status, and safety response status based on the effective operating data set.

[0030] In the generated control commands, the TANK pump, radiator return pump, radiator fan, and radiator water pump are controlled to start and stop in stages according to the system status identifier.

[0031] An intelligent control device for an environmentally friendly intelligent immersion single-phase liquid cooling system is also provided, comprising: This module performs system initialization, completes device identification, parameter loading and logical mapping, and generates a set of system operating parameters. This module collects TANK temperature, TANK liquid level, heat dissipation tower temperature and operating status information based on the system operating parameter set, and generates and outputs multi-source operating data. This module performs validity verification and processing on multi-source runtime data to obtain and output a valid runtime dataset. The module determines the system's operating condition based on the valid operating dataset, generates the corresponding system status identifier, and outputs it. A module that generates and outputs control commands for the TANK pump, cooling tower return pump, cooling tower fan, cooling tower water pump, and replenishment solenoid valve based on system status identifiers; A module that drives the corresponding execution components to complete heat dissipation adjustment and automatic liquid replenishment according to control commands, and generates execution feedback information; This module records and uploads operational data, system status, and execution feedback, enabling operational monitoring and parameter optimization.

[0032] A computer storage medium is also provided for storing a computer program, which, when read by the computer, executes the method.

[0033] A computer is also provided, including a processor and a storage medium, wherein the computer executes the method when the processor reads a computer program stored in the storage medium.

[0034] A computer program product is also provided, which, when executed, implements the method described.

[0035] The method is implemented based on the following system: This embodiment provides an environmentally friendly intelligent immersion single-phase liquid cooling system, which consists of an immersion heat dissipation unit, a coolant replenishment unit, an external heat dissipation unit, an electrical control and power supply unit, and an intelligent control and communication unit. The units are connected by liquid pipelines and electrical connections to form a closed-loop collaborative structure, so as to achieve efficient heat dissipation, automatic coolant replenishment, and intelligent and safe operation of the equipment being cooled.

[0036] The core of the system is at least one TANK container 1. TANK container 1 is a sealed structure with an internal immersion chamber for placing the heat-dissipating plate equipment. This immersion chamber is filled with environmentally friendly single-phase coolant, allowing the entire equipment to be immersed in the coolant for direct heat exchange. The structural dimensions of TANK container 1 can be modularly expanded according to the number of equipment to be cooled. Multiple TANK containers 1 can be arranged in parallel or series to adapt to different scales of heat dissipation requirements.

[0037] Inside each tank container 1, tank temperature sensors 2 are installed along different heights and heat load zones to collect real-time temperature data of the coolant in different areas. Simultaneously, tank level sensors 3 are installed inside the tank container 1 to monitor the coolant level and determine if there is insufficient coolant or abnormal leakage. Tank flow sensors 4 are installed on the pipe connecting the tank container 1 to the external heat dissipation circuit to monitor the coolant circulation flow rate. All the aforementioned tank temperature sensors 2, tank level sensors 3, and tank flow sensors 4 are electrically connected to the intelligent controller 18, which provides power and collects data uniformly.

[0038] The TANK container 1 is also equipped with a TANK pump 5, which is installed on the coolant circulation pipeline to drive the coolant to circulate between the TANK container 1 and the heat dissipation tower 9. The start-up, shutdown, and speed of the TANK pump 5 are dynamically controlled by the intelligent controller 18 based on the collected temperature and flow data, thereby achieving on-demand heat dissipation and energy-saving operation.

[0039] To achieve automatic coolant replenishment, a backup coolant storage tank 6 is installed outside the TANK container 1. The backup coolant storage tank 6 is connected to each TANK container 1 via a replenishment pipeline. A storage tank level sensor 7 is installed inside the backup coolant storage tank 6 to monitor the backup coolant level. A storage tank solenoid valve 8 is installed on the replenishment pipeline to control the supply of backup coolant to the TANK container 1. Both the storage tank level sensor 7 and the storage tank solenoid valve 8 are electrically connected to an intelligent controller 18. When the intelligent controller 18 determines that the coolant level in the TANK container 1 is below a preset safety range, it automatically opens the storage tank solenoid valve 8 to replenish coolant. Once the coolant level returns to the safety range, it automatically closes, achieving automatic coolant replenishment management under unattended conditions.

[0040] The external heat dissipation unit consists of at least one heat dissipation tower 9, which is connected to the tank container 1 via a return pipe to cool the coolant returning from the tank container 1. Each heat dissipation tower 9 is equipped with a heat dissipation tower temperature sensor 10 to collect the temperature status of the heat exchange components; a heat dissipation tower flow sensor 11 is installed on the heat dissipation tower circulation pipe to monitor the flow of coolant within the heat dissipation tower. A heat dissipation tower return pump 12 is also installed inside the heat dissipation tower 9 to drive the coolant through the heat exchange structure to release heat.

[0041] A cooling tower fan 13 is installed at the heat exchange section of the cooling tower 9. The cooling tower fan 13 is used to supply air to the heat exchange components of the cooling tower, further improving the heat dissipation efficiency through air convection. Its start and stop status is controlled by the intelligent controller 18 according to the system heat load. A cooling tower water tank 14 is installed above or on the side of the cooling tower 9. The cooling tower water tank 14 is used to store spray water. A cooling tower water tank level sensor 15 is installed inside the tank to monitor the water level. The cooling tower water tank 14 is connected to the cooling tower water pump 16 through pipelines. The cooling tower water pump 16 is used to atomize and spray the water in the tank onto the surface of the heat exchange components of the cooling tower under high temperature or abnormal operating conditions to achieve physical cooling and safety protection.

[0042] The system's electrical control and power supply unit includes a power supply 17, which provides working power to the entire liquid cooling system and has the ability to monitor power consumption. The power supply 17 can adopt a dual-circuit power supply structure of mains power and backup power to improve the system's reliability in the event of a power outage.

[0043] The intelligent controller 18 serves as the core of the system control and is electrically connected to the TANK temperature sensor 2, TANK level sensor 3, TANK flow sensor 4, TANK pump 5, storage tank level sensor 7, storage tank solenoid valve 8, cooling tower temperature sensor 10, cooling tower flow sensor 11, cooling tower reflux pump 12, cooling tower fan 13, cooling tower water tank level sensor 15, cooling tower water pump 16, and power supply 17. The intelligent controller 18 has a built-in data acquisition, storage, and analysis module, capable of real-time processing of multi-source sensor data. Based on preset control logic and operating strategies, it hierarchically controls the operating status of each pump, fan, and solenoid valve, while simultaneously uploading system operating data to a remote monitoring platform, achieving intelligent, automated, and safe operation of the liquid cooling system.

[0044] Implementation Method Two: This implementation method is a further detailed description of the technical solution provided in Implementation Method One, specifically: The software solution provided in this embodiment is used for unified perception, intelligent decision-making and linkage control of environmentally friendly intelligent immersion single-phase liquid cooling system. Its overall process unfolds in the following order: "system initialization - data acquisition - data preprocessing - status identification - control decision - execution linkage - data recording and remote interaction - self-learning optimization".

[0045] First, the system initialization steps are executed to establish the foundation for software operation. After the system is powered on, the software control module starts in the intelligent controller, performs self-tests on all connected sensors, actuators, and communication modules, generates a device list and logical number mapping relationship, and loads preset liquid level thresholds, temperature grading thresholds, sampling periods, and control strategy parameters. After initialization, a set of usable system parameters and device status tables are output as the basic input for subsequent data acquisition and judgment.

[0046] After system initialization is complete, a multi-source data acquisition step is performed to obtain real-time system operating information. The software periodically reads data from the TANK temperature sensor, TANK level sensor, TANK flow sensor, radiator temperature sensor, radiator flow sensor, radiator water tank level sensor, and power supply status information according to the sampling period determined during initialization. The collected data is then uniformly time-stamped to form a multi-channel raw data set, which is output to the data preprocessing step.

[0047] After obtaining the multi-channel raw data set, a data preprocessing step is performed to improve the validity and reliability of the data. The software performs validity verification, anomaly removal, and smoothing on the collected raw data of various types. By judging the trend of continuous sampling results, it filters out instantaneous interference data and marks missing or abnormal channels. After processing, it outputs a structured and valid operating dataset as input for state recognition and operating condition determination.

[0048] After data preprocessing is completed, a system status identification step is performed to determine the current operating condition. The software compares the effective operating dataset with the threshold table loaded during the initialization phase, and determines the liquid level, temperature level, flow rate, and energy consumption status respectively. It identifies the specific state of the system, such as normal operation, energy-saving operation, enhanced heat dissipation, or safety response, and generates a corresponding system status identifier, which serves as the direct input for the control decision-making step.

[0049] After completing system status identification, the intelligent control decision-making step is executed to generate specific control commands. Based on the system status identifier, the software matches the corresponding control logic from the preset control strategy library, and makes decisions on the start-stop sequence, duration, and linkage relationship of each TANK pump, cooling tower return pump, cooling tower fan, cooling tower water pump, and storage tank solenoid valve, forming an ordered set of execution control commands, and outputting this set of control commands to the execution linkage step.

[0050] After obtaining the control command set, the software executes the linkage steps to drive hardware actions. The software sends control commands to the corresponding execution component interfaces, controlling the TANK pump to regulate coolant circulation, controlling the radiator return pump and fan to achieve staged heat dissipation, controlling the radiator water pump to perform physical cooling under high-temperature conditions, and simultaneously controlling the storage tank solenoid valve to automatically replenish coolant when insufficient liquid level is detected. Upon completion, execution status feedback information is generated as input for operation recording and verification.

[0051] Based on the completion of the linkage, the software performs data recording and remote interaction steps to achieve traceable operation management. It uniformly stores collected data, status identification results, control decision information, and execution feedback, and uploads key operational data to the remote monitoring platform according to a set cycle. This enables real-time visualization, alarm push notifications, and historical data queries. In the event of communication failure, data is cached locally and re-uploaded after communication is restored, forming a complete operation log.

[0052] Based on continuous data recording and remote interaction, self-learning and parameter optimization steps are performed to improve the long-term operating performance of the system. The software periodically counts the frequency of temperature fluctuations, the number of alarms, energy consumption changes, and execution effects. By analyzing historical operating data, threshold parameters and control priorities are gradually corrected, enabling the system to reduce unnecessary execution frequencies while meeting safety constraints, thereby improving overall energy efficiency and stability. The updated parameter set is then fed back to the system initialization module to complete closed-loop optimization.

[0053] Through the software technology solutions implemented step by step as described above, intelligent control of the entire process of the immersion single-phase liquid cooling system, from sensing, judgment, decision-making to execution and optimization, is realized, enabling the system to operate stably, safely, and energy-efficiently for a long time under unattended conditions.

[0054] Implementation Method 3, in conjunction with Appendix Figure 1 This embodiment describes the technical solution provided above in further detail through specific examples. Specifically: like Figure 1 As shown, this embodiment is an intelligent immersion cooling system developed based on an environmentally friendly single-phase coolant. The coolant must be PFAS-free (fluorine-free), transparent, odorless, have a dielectric strength greater than 45kV, and a resistivity greater than 1.5*10⁻⁶. 15 The dielectric constant is not less than 1.9, reflectivity is greater than 1.29 (nD20), pour point is less than -60℃, boiling point is greater than 150℃, thermal conductivity (at 25℃) is greater than 0.065W / m*K, and the product has a service life of more than 10 years. By utilizing the characteristics of the coolant, the evaporation losses that occur in two-stage immersion liquid cooling or low-boiling-point single-stage immersion liquid cooling at high power consumption are avoided. Environmental requirements are still met after optimizing the volume of sealed structural components, and coolant working losses are also avoided, thus enabling lightweight structural design, intelligent coolant replenishment, and unattended operation. If a coolant with high evaporation loss and excessively low thermal conductivity is used, the functions achieved and the energy-saving power consumption reached by this system will be correspondingly reduced.

[0055] like Figure 1As shown, an environmentally friendly intelligent immersion single-phase liquid cooling system includes a tank container 1 and a heat exchange tower 9. The tank container 1 is filled with coolant. A spare coolant storage tank 6, an intelligent controller 18, and a power supply 17 are fixed to the tank container 1. Multiple tank temperature sensors 2, multiple tank level sensors 3, a tank flow sensor 4, a tank pump 5, and a heat exchange tower flow sensor 11 are installed in the tank container 1. The spare coolant storage tank 6 is equipped with a storage tank level sensor 7, which intelligently replenishes the coolant to the tank container 1 via a storage tank solenoid valve 8. The heat exchange return pipe of the tank container 1 is connected to multiple heat exchange towers 9. Each heat exchange tower 9 is equipped with a heat exchange tower temperature sensor 10, a heat exchange tower return pump 12, a heat exchange tower fan 13, and a heat exchange tower water tank 14. Each heat exchange tower water tank 14 is equipped with a heat exchange tower water tank level sensor 15 and a heat exchange tower water pump 16. The intelligent controller 18 is connected to all sensors, pumps, and fans for intelligent control. The power supply 17 supplies power to the intelligent controller 18.

[0056] TANK container 1 can be connected in multiple combinations to dissipate heat from the equipment being cooled. The TANK container is a closed type and dissipates heat from the equipment by injecting environmentally friendly single-phase coolant.

[0057] Multiple TANK temperature sensors 2 are installed in different locations such as the high-temperature zone and low-temperature zone of the TANK container 1 to collect the temperature of the coolant at different locations. The data is sent to the intelligent controller 18 in real time. All TANK temperature sensors 2 are powered by the intelligent controller 18.

[0058] Multiple TANK level sensors 3 are installed at different positions in the TANK container 1 to collect the coolant level at different positions. The data is sent to the intelligent controller 18 in real time. All TANK level sensors 3 are powered by the intelligent controller 18.

[0059] The TANK flow sensor 4 is installed on the pipe of the TANK pump 5 in the TANK container 1 to collect the flow rate of the coolant. The data is sent to the intelligent controller 18 in real time. The TANK flow sensor 4 is powered by the intelligent controller 18.

[0060] The TANK pump 5 is installed in the TANK container 1 and is used to pump coolant and control the flow rate of coolant. The TANK pump 5 is powered and controlled by the intelligent controller 18.

[0061] The storage tank level sensor 7 is installed in the backup coolant storage tank 6 to collect the liquid level of the backup coolant storage tank 6. The data is sent to the intelligent controller 18 in real time. The storage tank level sensor 7 is powered by the intelligent controller 18.

[0062] The storage tank solenoid valve 8 is installed on the pipeline of the standby coolant storage tank 6 and is used to open and close the coolant in the standby coolant storage tank 6 to deliver coolant to the TANK container 1. The storage tank solenoid valve 8 is powered and controlled by the intelligent controller 18.

[0063] The heat dissipation tower temperature sensor 10 is installed in the heat dissipation tower 9 to collect the temperature of the heat dissipation tower 9. The data is sent to the intelligent controller 18 in real time. The heat dissipation tower temperature sensor 10 is powered by the intelligent controller 18.

[0064] The heat exchange tower reflux pump 12 is installed in the heat exchange tower 9 and is used to pump reflux liquid into the heat exchange tower 9. The heat exchange tower reflux pump 12 is controlled by the intelligent controller 18.

[0065] The cooling tower fan 13 is installed in the cooling tower 9 to supply air to the heat sink of the cooling tower 9. The cooling tower fan 13 is controlled by the intelligent controller 18.

[0066] The water level sensor 15 is installed in the water tank 14 of the heat tower to measure the water level in the water tank 14. The data is sent to the intelligent controller 18 in real time. The water level sensor 15 is powered by the intelligent controller 18.

[0067] The cooling tower water pump 16 is installed on the outlet pipe of the cooling tower water tank 14 and is used to spray water mist onto the cooling tower 9. The cooling tower water pump 16 is controlled by the intelligent controller 18.

[0068] The intelligent controller 18 is installed on the TANK container 1 and is powered by the power supply 17. It has an intelligent computing chip inside, which collects data from all sensors and flow meters, stores and calculates the data, and intelligently controls components such as the TANK pump 5, the heat dissipation tower return pump 12, the heat dissipation tower fan 13, and the heat dissipation tower water pump 16 to achieve safe operation and energy saving of the equipment. At the same time, it uploads the information to the remote monitoring platform to realize remote intelligent management and reduce manual operation costs.

[0069] In a specific embodiment: 1. Automated fluid replacement implementation method To make the objectives, technical solutions, and effects of this embodiment clearer, the embodiments will be described below with reference to the accompanying drawings. Obviously, this describes only some embodiments, not all embodiments. The components of this embodiment, typically described and shown in the accompanying drawings, can be laid out and designed in various different configurations.

[0070] The TANK level sensor 3 uploads the liquid level data of the TANK container 1 to the intelligent controller 18 in real time. The intelligent controller 18 records and stores the liquid level data every 30 seconds according to the date and time, and uploads the automatically calculated liquid level data to the remote monitoring platform. When the liquid level is above 90% of the threshold, the remote monitoring platform displays it as normal, and the corresponding digital twin is green. The intelligent controller 18 automatically determines the level based on the data collected by the TANK level sensor 3. When the level is between 80% and 90% of the threshold height, the remote monitoring platform displays it as normal, and the corresponding digital twin is yellow. The intelligent controller 18 automatically judges the liquid level based on the data collected by the TANK liquid level sensor 3. When the liquid level is below 80% of the threshold height, the remote monitoring platform displays "liquid level too low", the corresponding digital twin is red, and an alarm message is pushed to the monitoring and operation personnel. The intelligent controller 18 automatically determines the liquid level based on the data collected by the TANK liquid level sensor 3. When the liquid level is below 85% of the threshold height, the intelligent controller 18 automatically controls the opening of the storage tank solenoid valve 8, and the standby coolant storage tank replenishes the coolant stored inside to the TANK container 1 by gravity flow. The intelligent controller 18 automatically determines the liquid level based on the data collected by the TANK liquid level sensor 3. When the liquid level is higher than 95% of the threshold height, the intelligent controller 18 automatically controls the closing of the storage tank solenoid valve 8, so that the backup coolant in the backup coolant storage tank cannot flow out. The storage tank level sensor 7 collects the liquid level data of the standby coolant storage tank 6 and uploads it to the intelligent controller 18 in real time. The intelligent controller 18 records and stores the liquid level data every 30 seconds according to the date and time, and uploads the automatically calculated liquid level data to the remote monitoring platform. When the liquid level is above 60% of the threshold, the remote monitoring platform displays it as normal, and the corresponding digital twin is green. The intelligent controller 18 automatically determines the level based on the data collected by the liquid level sensor 7 in the storage tank. When the liquid level is 20-60% higher than the threshold height, the remote monitoring platform displays it as normal, and the corresponding digital twin is yellow. The intelligent controller 18 automatically determines the level based on the data collected by the liquid level sensor 7 of the storage tank. When the liquid level is 20% below the threshold height, the remote monitoring platform displays "liquid level too low", the corresponding digital twin is red, and an alarm message is pushed to the monitoring and operation personnel. 2. Automated Energy-Saving Heat Dissipation Implementation Methods Multiple TANK temperature sensors 2 upload the temperature data collected by the TANK container 1 to the intelligent controller 18 in real time. The intelligent controller 18 records and stores the temperature data every 30 seconds according to the date and time, and uploads the automatically calculated temperature data to the remote monitoring platform. When the temperature is below the threshold of 100%, the remote monitoring platform displays it as normal, and the corresponding digital twin is green. The intelligent controller 18 automatically determines the temperature threshold based on the data collected by the TANK temperature sensor 2 (e.g., temperature zone a). When the temperature threshold is higher than 110%, the intelligent controller 18 automatically controls the TANK pump 5 (e.g., TANK pump a). The coolant in the TANK container 1 flows faster in temperature zone a, achieving rapid heat dissipation in zone a within the TANK container 1. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of zone a and shows that TANK pump a is in the on state, with its corresponding digital twin image in green. The intelligent controller 18 automatically determines the temperature based on the data collected by the TANK temperature sensor 2 (e.g., temperature zone a). When the temperature threshold is below 100%, the intelligent controller 18 automatically controls the TANK pump 5 (e.g., TANK pump a) to shut down. The coolant in the TANK container 1 does not need to flow in temperature zone a, thus achieving energy saving. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of zone a and shows that TANK pump a is in the off state, with its corresponding digital twin in green. The intelligent controller 18 automatically determines the temperature range based on the data collected by the TANK temperature sensor 2 (e.g., temperature zone b, and other zones are similar). When the temperature threshold is higher than 110%, the intelligent controller 18 automatically controls the TANK pump 5 (e.g., TANK pump b, and other zones are similar). The coolant in the TANK container 1 flows faster in temperature zone b (and other zones are similar), achieving rapid heat dissipation in zone b (and other zones are similar) of the TANK container 1. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of zone b (and other zones are similar), and the TANK pump b (and other zones are similar) is in the on state. Its corresponding digital twin is green. The intelligent controller 18 automatically determines the temperature range based on the data collected by the TANK temperature sensor 2 (e.g., temperature zone b, and other zones are similar). When the temperature threshold is below 100%, the intelligent controller 18 automatically controls the TANK pump 5 (e.g., TANK pump b, and other zones are similar). The coolant in the TANK container 1 does not need to be forced to flow in temperature zone b (and other zones are similar), thus achieving energy saving. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of zone b (and other zones are similar), and TANK pump b (and other zones are similar) is in the off state. Its corresponding digital twin is green. The intelligent controller 18 automatically determines the temperature threshold based on data collected by one or more TANK temperature sensors 2 (regardless of number). When the temperature threshold exceeds 150%, the intelligent controller 18 automatically controls the activation of one heat sink reflux pump 12 (e.g., heat sink A) and the activation of heat sink 9 (e.g., heat sink A) for heat dissipation. However, the heat sink fan 13 (e.g., heat sink A) remains off, and the heat sink 9 dissipates heat naturally through its own heat sink fins, achieving energy saving and noise reduction. The intelligent controller 18 automatically calculates and generates working signals and uploads them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of heat sink 9 (e.g., heat sink A), the working status of heat sink reflux pump 12 and heat sink fan 13 (e.g., heat sink A), and the corresponding digital twin diagram is green. The intelligent controller 18 automatically determines the temperature based on the data collected by all TANK temperature sensors 2 (regardless of number). When all temperatures are below the threshold of 140%, the intelligent controller 18 automatically controls the shutdown of all heat exchange tower return pumps 12 (e.g., corresponding to heat exchange tower A) to achieve energy saving and noise reduction. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of heat exchange tower 9 (e.g., corresponding to heat exchange tower A), the working status of heat exchange tower return pump 12 and heat exchange tower fan 13 (e.g., corresponding to heat exchange tower A), and the corresponding digital twin diagram is green. The intelligent controller 18 automatically determines the temperature threshold based on data collected by one or more TANK temperature sensors 2 (regardless of number). When the temperature threshold exceeds 180%, the intelligent controller 18 automatically controls the activation of multiple (selectable) heat dissipation tower reflux pumps 12 (e.g., corresponding to heat dissipation tower B) and the activation of heat dissipation tower 9 (e.g., corresponding to heat dissipation tower B). However, the heat dissipation tower fan 13 (e.g., corresponding to heat dissipation tower B) remains off, and the heat dissipation tower 9 is cooled naturally by its own heat sink, thus achieving energy saving and noise reduction. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of heat dissipation tower 9 (e.g., corresponding to heat dissipation tower B), the working status of heat dissipation tower reflux pump 12 and heat dissipation tower fan 13 (e.g., corresponding to heat dissipation tower B), and the corresponding digital twin diagram is green. The intelligent controller 18 automatically determines the temperature based on the data collected by all TANK temperature sensors 2 (regardless of number). When all temperatures are below the threshold of 170%, the intelligent controller 18 automatically controls the shutdown of the heat dissipation tower reflux pump 12 (if the corresponding number is heat dissipation tower B, the quantity is optional) to achieve energy saving and noise reduction. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of heat dissipation tower 9 (if the corresponding number is heat dissipation tower A), the working status of heat dissipation tower reflux pump 12 and heat dissipation tower fan 13 (if the corresponding number is heat dissipation tower B, the quantity is optional), and the corresponding digital twin diagram is green. The intelligent controller 18 automatically determines the temperature threshold based on data collected by one or more TANK temperature sensors 2 (regardless of number). When the temperature threshold exceeds 200%, the intelligent controller 18 automatically controls the activation of one heat dissipation tower fan 13 (e.g., corresponding to heat dissipation tower A) to accelerate the heat dissipation capacity of heat dissipation tower 9. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of heat dissipation tower 9 (e.g., corresponding to heat dissipation tower A), the working status of heat dissipation tower return pump 12, and heat dissipation tower fan 13 (e.g., corresponding to heat dissipation tower A), and the corresponding digital twin diagram is yellow. The intelligent controller 18 automatically determines the temperature threshold based on data collected by one or more TANK temperature sensors 2 (regardless of number). When the temperature threshold is lower than 190%, the intelligent controller 18 automatically controls the shutdown of all heat dissipation tower fans 13 (e.g., corresponding to heat dissipation tower A) to achieve energy saving and noise reduction. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of heat dissipation tower 9 (e.g., corresponding to heat dissipation tower A), the working status of heat dissipation tower return pump 12 and heat dissipation tower fan 13 (e.g., corresponding to heat dissipation tower A), and the corresponding digital twin diagram turns green again. The intelligent controller 18 automatically determines the temperature threshold based on data collected by one or more TANK temperature sensors 2 (regardless of number). When the temperature threshold exceeds 250%, the intelligent controller 18 automatically controls the activation of multiple (selectable) cooling tower fans 13 (e.g., corresponding to cooling tower B) to accelerate the heat dissipation capacity of the cooling tower 9. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of the cooling tower 9 (e.g., corresponding to cooling tower B), the working status of the cooling tower reflux pump 12, and the cooling tower fans 13 (e.g., corresponding to cooling tower B), and the corresponding digital twin diagrams of multiple cooling towers 9 are shown in yellow. The intelligent controller 18 automatically determines the temperature threshold based on the data collected by all TANK temperature sensors 2 (regardless of number). When the temperature threshold exceeds 220%, the intelligent controller 18 automatically controls the shutdown of multiple (selectable) heat dissipation tower fans 13 (e.g., corresponding to heat dissipation tower B) to achieve energy saving and noise reduction. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of heat dissipation tower 9 (e.g., corresponding to heat dissipation tower B), the working status of heat dissipation tower reflux pump 12 and heat dissipation tower fan 13 (e.g., corresponding to heat dissipation tower B), and the corresponding digital twin diagrams of multiple heat dissipation towers 9 turn green again. 3. Implementation of High Power Consumption Protection and Heat Dissipation Mechanism The heat sink temperature sensor 10 collects the temperature data of the heat sink 9 and uploads it to the intelligent controller 18 in real time. The intelligent controller 18 records and stores the temperature data every 30 seconds according to the date and time, and uploads the automatically calculated temperature data to the remote monitoring platform. When the temperatures of both the TANK temperature sensor 2 and the heat sink temperature sensor 10 are below the threshold, the remote monitoring platform displays that it is normal. The intelligent controller 18 automatically determines the temperature of the TANK temperature sensor 2 and the heat dissipation tower temperature sensor 10 (regardless of their numbers) based on the data collected. When the temperature of either TANK temperature sensor 2 or heat dissipation tower temperature sensor 10 exceeds the threshold of 300%, the intelligent controller 18 automatically activates the heat dissipation tower water pump 16 to spray water from the heat dissipation tower water tank 15 onto the heat dissipation fins of the heat dissipation tower 9, thereby achieving the purpose of physical cooling of the heat dissipation tower 9. At the same time, this method can also automatically prevent the heat dissipation tower 9 from catching fire. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of the heat dissipation tower 9 (such as the heat dissipation tower corresponding to the number of the heat dissipation tower temperature sensor 10), the working status of the heat dissipation tower return pump 12 and the heat dissipation tower fan 13 (such as the heat dissipation tower corresponding to the number of the heat dissipation tower temperature sensor 10), and the corresponding digital twin image of the heat dissipation tower 9 is red. Alarm information is also sent to the monitoring and operation personnel. The intelligent controller 18 automatically determines the temperature based on the data collected by all TANK temperature sensors 2 and heat dissipation tower temperature sensors 10 (regardless of their numbers). When the temperature of both TANK temperature sensor 2 and heat dissipation tower temperature sensor 10 is below the threshold of 280%, the intelligent controller 18 automatically shuts down the heat dissipation tower water pump 16. The intelligent controller 18 will automatically calculate and generate working signals and upload them to the remote monitoring platform. The remote monitoring platform displays the real-time temperature value of heat dissipation tower 9 (as opposed to the heat dissipation tower with the corresponding heat dissipation tower temperature sensor 10 number), the working status of heat dissipation tower return pump 12 and heat dissipation tower fan 13 (as opposed to the heat dissipation tower with the corresponding heat dissipation tower temperature sensor 10 number), and the corresponding digital twin image of heat dissipation tower 9 turns back to yellow. The alarm information of the remote monitoring platform is turned off. 4. Equipment Operation and Implementation Methods The water level sensor 15 of the heat dissipation tower water tank uploads the water level data of the heat dissipation tower water tank 14 to the intelligent controller 18 in real time. The intelligent controller 18 records and stores the water level data every 30 seconds according to the date and time, and uploads the automatically calculated water level data to the remote monitoring platform. When the water level is above 80% of the threshold, the remote monitoring platform displays it as normal, and the corresponding digital twin is green. The intelligent controller 18 automatically determines the level based on the data collected by the water level sensor 15 in the heat dissipation tower water tank. When the water level is between 50% and 80% of the threshold height, the remote monitoring platform displays it as normal, and the corresponding digital twin image is yellow. The intelligent controller 18 automatically determines the level based on the data collected by the water level sensor 15 in the heat exchange tower water tank. When the water level is below 50% of the threshold height, the remote monitoring platform displays "low water level", the corresponding digital twin is red, and an alarm message is pushed to the monitoring and operation personnel.

[0071] The intelligent controller 18 automatically calculates and records the system power consumption based on the power consumption data and date of the power supply 17, and uploads it to the remote monitoring platform, which then generates a system power consumption visualization report.

[0072] When the remote monitoring platform cannot receive the signal uploaded by the intelligent controller 18, it will automatically push alarm information to the monitoring and operation personnel and provide auxiliary decision-making solutions based on the historical system operation data uploaded by the intelligent controller 18.

[0073] To cope with sudden power outages or network interruptions, the intelligent controller has data caching and breakpoint resume functions. Information that has not been uploaded is temporarily stored in the local storage unit and automatically re-uploaded after communication is restored, ensuring data integrity and traceability. At the same time, all system communications use encrypted transmission protocols to prevent data leakage.

[0074] The entire system achieves integrated operation of graded energy-saving heat dissipation, automatic liquid replenishment, intelligent monitoring, and safety management through the synergy of digital safety control and artificial intelligence algorithms. This structure not only ensures high-energy-consuming heat dissipation and safe operation but also significantly improves the system's intelligence, reliability, and low-carbon level.

[0075] The electrical control system, centered on an intelligent controller, achieves an integrated control process for efficient heat dissipation, liquid replenishment, and safety management through multi-source data acquisition, hierarchical safety control, multi-energy collaborative power supply, and remote communication. Upon power-up, the intelligent controller first performs self-checks on its internal power module, acquisition channels, execution ports, communication module, and clock system. After confirming that sensors, valves, and pumps are all in a connectable state, it establishes an equipment list and initialization parameters, including sensor range, zero point, alarm threshold, and sampling period. After initialization, the intelligent controller sets different sampling rhythms according to the parameter set, performing periodic sampling on safety channels such as temperature and liquid level, and periodic calibration on pumps and fans, thereby balancing energy consumption and response speed. When entering safety response mode, the system automatically switches safety channels to real-time sampling and ensures data consistency across channels within the same sampling window through a timestamp synchronization mechanism.

[0076] The acquired multi-channel raw data undergoes preprocessing and validity verification. The intelligent controller eliminates noise using moving averages and extreme value removal methods. If a sample deviates significantly from the historical average, it is marked as abnormal data. Simultaneously, the system performs multi-source consistency verification. If a sensor malfunctions, the verified data forms a feature parameter set, providing a basis for subsequent status identification. The intelligent controller identifies the status and determines operating conditions based on the feature parameter set. When the detected data is within the normal range, it enters operation monitoring mode; when any safety parameter exceeds the limit, it switches to safety response mode. In different modes, the system dynamically adjusts the threshold table and valve action strategy.

[0077] To ensure data security, all communications are encrypted. When the network is unavailable, the controller writes monitoring data, alarms, and video summaries to local non-volatile memory. Once the network is restored, the data is retransmitted in batches and the receipts are verified to ensure information integrity and traceability. During long-term system operation, the intelligent controller periodically analyzes alarm frequency, false alarm ratio, and gas consumption prediction errors. Based on historical data, it gradually adjusts threshold settings and response parameters to reduce false alarms and improve energy efficiency.

[0078] Through the above electronic control process, this implementation method realizes a complete control logic of perception, judgment, linkage, power supply, scheduling, communication, closed loop and optimization, so that energy-saving heat dissipation, liquid replenishment and safety protection form an intelligent closed loop system that supports each other, and can achieve long-term, stable and safe independent operation under unattended conditions.

[0079] The above description of several specific embodiments further details the technical solution provided by the present invention in order to highlight the advantages and benefits of the technical solution provided by the present invention. However, the above-described specific embodiments are not intended to limit the present invention. Any reasonable modifications and improvements to the present invention, combinations of embodiments, and equivalent substitutions based on the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent control method for an environmentally friendly intelligent immersion single-phase liquid cooling system, characterized in that, include: The steps to perform system initialization include device identification, parameter loading and logical mapping, and generating a set of system operating parameters. The steps involved in collecting TANK temperature, TANK liquid level, heat dissipation tower temperature and operating status information based on the system operating parameter set, forming multi-source operating data and outputting it. The steps to perform validity verification and processing on multi-source runtime data, obtain a valid runtime dataset, and output it. The steps to determine the system's operating condition based on the valid operating dataset, generate the corresponding system status identifier, and output it. The steps for generating and outputting control commands for the TANK pump, radiator return pump, radiator fan, radiator water pump and replenishment solenoid valve based on system status identifiers; The steps involve driving the corresponding actuators to complete heat dissipation adjustment and automatic liquid replenishment according to control commands, and generating execution feedback information. The steps of recording and uploading operational data, system status, and execution feedback enable operational monitoring and parameter optimization.

2. The intelligent control method for an environmentally friendly intelligent immersion single-phase liquid cooling system according to claim 1, characterized in that, It also includes the steps of configuring the range, zero point, sampling period and alarm threshold of each sensor, and establishing a one-to-one correspondence between the sensors and the actuators.

3. The intelligent control method for an environmentally friendly intelligent immersion single-phase liquid cooling system according to claim 1, characterized in that, The collected multi-source operational data includes at least temperature data and liquid level data for different TANK areas, as well as temperature and operational status data for the corresponding heat dissipation towers.

4. The intelligent control method for an environmentally friendly intelligent immersion single-phase liquid cooling system according to claim 1, characterized in that, In the process of validating and processing multi-source operational data, trend judgment is performed on continuous sampling results and abnormal fluctuation data is removed.

5. The intelligent control method for an environmentally friendly intelligent immersion single-phase liquid cooling system according to claim 1, characterized in that, In determining the system's operating conditions, the system status is divided into normal operation status, energy-saving operation status, enhanced heat dissipation status, and safety response status based on the effective operating data set.

6. The intelligent control method for an environmentally friendly intelligent immersion single-phase liquid cooling system according to claim 1, characterized in that, In the generated control commands, the TANK pump, radiator return pump, radiator fan, and radiator water pump are controlled to start and stop in stages according to the system status identifier.

7. An intelligent control device for an environmentally friendly intelligent immersion single-phase liquid cooling system, characterized in that, include: This module performs system initialization, completes device identification, parameter loading and logical mapping, and generates a set of system operating parameters. This module collects TANK temperature, TANK liquid level, heat dissipation tower temperature and operating status information based on the system operating parameter set, and generates and outputs multi-source operating data. This module performs validity verification and processing on multi-source runtime data to obtain and output a valid runtime dataset. The module determines the system's operating condition based on the valid operating dataset, generates the corresponding system status identifier, and outputs it. A module that generates and outputs control commands for the TANK pump, cooling tower return pump, cooling tower fan, cooling tower water pump, and replenishment solenoid valve based on system status identifiers; A module that drives the corresponding execution components to complete heat dissipation adjustment and automatic liquid replenishment according to control commands, and generates execution feedback information; This module records and uploads operational data, system status, and execution feedback, enabling operational monitoring and parameter optimization.

8. A computer storage medium for storing computer programs, characterized in that, When the computer program is read by the computer, the computer executes the method of claim 1.

9. A computer, comprising a processor and a storage medium, characterized in that, When the processor reads the computer program stored in the storage medium, the computer executes the method of claim 1.

10. A computer program product, as a computer program, is characterized by: When the computer program is executed, it implements the method of claim 1.

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