Accurate temperature control water cooling system based on SVG technology

Abstract

The invention discloses a precise temperature control water cooling system based on an SVG technology, and relates to the technical field of water cooling systems, and the system comprises an SVG control core module which is used for generating and dynamically adjusting a water cooling system control instruction according to the operation state and heat dissipation demands of an SVG reactive power compensation device; and the multi-dimensional temperature monitoring network is composed of various temperature sensors distributed in the water cooling pipeline, the SVG device heat dissipation terminal and the cooling liquid storage cavity, and is used for collecting temperature data and generating temperature field information. A heat dissipation control logic of an SVG reactive power compensation device is converted into a control instruction, a temperature control target is converted into a control instruction parameter, a corresponding relation between the parameter and a temperature adjustment amplitude is established, and the control instruction parameter is adjusted by using a particle swarm optimization algorithm, so that the control instruction can be dynamically optimized according to an actual operation state of the SVG device; compared with a traditional fixed parameter control mode, the response speed and accuracy of temperature control are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of water cooling system technology, specifically to a precision temperature control water cooling system based on SVG technology. Background Technology

[0002] In power systems, SVG (Voltage Var Compensator) is a key device for improving power quality. The heat generated by power loss during operation must be dissipated promptly to ensure stable operation. While existing SVG water-cooling systems can achieve basic cooling functions, they have shortcomings in precise temperature control. Traditional systems often use a single type of temperature sensor, which can only obtain local temperature information and cannot comprehensively reflect the temperature distribution of the SVG equipment and coolant. Furthermore, the control strategy is relatively fixed, and the control command parameters cannot be flexibly adjusted according to the real-time operating conditions of the system. When changes in the SVG equipment load cause differences in heat generation, the water-cooling system struggles to quickly and accurately adjust the coolant flow rate and heat exchange power, resulting in a certain lag and deviation in coolant temperature control, affecting the operating efficiency and lifespan of the SVG equipment. Summary of the Invention

[0003] To address the aforementioned technical issues, a precise temperature-controlled water cooling system based on SVG technology is provided. This technical solution resolves the problems described above.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A precision temperature-controlled water cooling system based on SVG technology includes: The SVG control core module is used to generate and dynamically adjust the water cooling system control commands based on the operating status and heat dissipation requirements of the SVG reactive power compensation device. The multi-dimensional temperature monitoring network consists of various temperature sensors distributed in the water-cooled pipeline, the heat dissipation terminal of the SVG device, and the coolant storage cavity, which are used to collect temperature data and generate temperature field information. The adaptive flow regulation water circulation component adjusts the coolant flow rate and direction according to the instructions of the SVG control core module and temperature field information; Composite heat exchange modules heat or cool coolant by combining different heat exchange methods; The intelligent data processing hub receives multi-dimensional temperature monitoring network data, analyzes and processes it, and then feeds it back to the SVG control core module.

[0005] Preferably, the SVG control core module includes: The instruction generation unit is used to convert the heat dissipation control logic of the SVG reactive power compensation device into control instructions. The dynamic command optimization unit adjusts the control command parameters based on the real-time operating parameters of the water-cooling system and the load changes of the SVG device using a particle swarm optimization algorithm. The update formula for the particle swarm optimization algorithm is as follows: in, For particle velocity, For inertial weights, , As a learning factor, , It is a random number. This represents the optimal position for an individual particle. The optimal position globally. This represents the particle's current position. The instruction output interface transmits the optimized SVG instructions to the corresponding execution module.

[0006] Preferably, the instruction generation unit converts the temperature control target of the SVG device into control instruction parameters, and establishes a correspondence between the parameters and the temperature adjustment range, as shown in the formula: in, For temperature adjustment range, To control command parameters, This is a proportionality coefficient, which is determined based on the heat dissipation characteristics of the SVG device and the heat exchange efficiency factor of the water cooling system. It is used to quantify the impact of changes in control command parameters on the temperature regulation range.

[0007] Preferably, the multi-dimensional temperature monitoring network includes: A high-precision contact temperature sensor array is arranged on the contact surface between the heat dissipation terminal and the coolant of the SVG device; A non-contact infrared temperature sensor array is installed outside the water-cooling piping. The temperature data fusion unit performs weighted fusion of data from different types of sensors. The fusion formula is as follows: in, This is the temperature value after fusion. Assign weights to each sensor. This corresponds to the sensor measurement value.

[0008] Preferably, the temperature data fusion unit dynamically adjusts the weights of each sensor based on the sensor's response time and measurement accuracy.

[0009] Preferably, the adaptive flow regulation water circulation component includes: Multi-branch variable diameter water-cooled piping, with each branch piping equipped with an independent electric regulating valve; Miniature turbine flow meter units are installed at the inlet of each branch pipeline; The flow coordination control unit, based on the instructions from the SVG control core module and temperature field data, adjusts the opening of each electric regulating valve to achieve differentiated flow distribution of coolant in different branch pipelines.

[0010] Preferably, the flow control unit uses a model predictive control algorithm to regulate the electric regulating valve, and the objective function of the model predictive control algorithm is: in, Let be the objective function. To predict the time domain, For target traffic, This represents the actual traffic volume. These are the weighting coefficients. To control the time domain, To control the increment of quantity.

[0011] Preferably, the composite heat exchange module includes: The electric heating and air-cooling co-heating unit uses an electric heating wire as the heating element, combined with a forced air-cooling device. The heating output is adjusted by controlling the current of the electric heating wire, and the air-cooling device adjusts the air speed according to the instructions of the SVG control core module to control the heating rate and temperature uniformity. The heat pump cooling and water cooling combined cooling unit uses the heat pump system to transfer the heat in the coolant to the outside, and at the same time combines the water cooling fins to remove the waste heat generated by the heat pump system through water circulation, thereby enhancing the cooling effect. The heat exchange mode switching and proportional adjustment unit quickly switches between heating and cooling modes according to the instructions issued by the SVG control core module, or precisely adjusts the working ratio of heating and cooling modes according to the system temperature requirements to achieve precise control of coolant temperature.

[0012] Preferably, in the heat pump refrigeration and water-cooled combined refrigeration unit, the refrigeration power of the heat pump is related to the compressor operating frequency and the refrigerant flow rate, and the refrigeration power calculation formula is as follows: in, For cooling capacity, , For coefficients, The compressor's operating frequency, This represents the refrigerant flow rate.

[0013] Preferably, the intelligent data processing center includes: An abnormal temperature pattern recognition unit identifies abnormal temperature change patterns based on historical temperature data and preset thresholds. The control strategy suggestion generation unit generates optimized control strategy suggestions based on abnormal temperature patterns and historical data from the SVG control core module. The data feedback interface transmits the processing results and strategy suggestions to the SVG control core module.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: By combining a high-precision contact temperature sensor array deployed in water-cooled pipelines, SVG device heat dissipation terminals, and coolant storage chambers with a non-contact infrared temperature sensor array, temperature data is collected from multiple locations and perspectives. Simultaneously, the temperature data fusion unit dynamically adjusts the weight of each sensor in the data fusion process based on the sensor's response time and measurement accuracy, and processes the data using a weighted fusion formula, establishing a comprehensive and accurate temperature field information acquisition mechanism. Compared with traditional single temperature monitoring methods, this significantly improves the accuracy and completeness of temperature data, laying a solid data foundation for precise temperature control of the water-cooling system and effectively avoiding control errors caused by temperature monitoring deviations.

[0015] By converting the heat dissipation control logic of the SVG reactive power compensation device into control commands and the temperature control target into control command parameters, establishing the correspondence between parameters and temperature adjustment range, and using particle swarm optimization algorithm to adjust the control command parameters, the control commands can be dynamically optimized according to the actual operating state of the SVG device. Compared with the traditional fixed parameter control method, this significantly improves the response speed and accuracy of temperature control.

[0016] Based on the commands issued by the SVG control core module and the temperature field data generated by the multi-dimensional temperature monitoring network, the flow control unit uses a model predictive control algorithm with the objective function as the optimization guide to precisely adjust the electric regulating valve. Combined with the structural characteristics of the multi-branch variable diameter water-cooled pipeline and the real-time flow monitoring function of the micro turbine flow meter group, an adaptive control system for coolant flow and direction is constructed. Compared with the traditional fixed flow control mode, it can quickly and accurately allocate coolant flow according to the heat dissipation requirements of different parts of the SVG device, avoid local overheating or cooling redundancy problems, and significantly improve the heat dissipation efficiency and energy consumption optimization level of the water-cooling system. Attached Figure Description

[0017] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0018] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0019] Reference Figure 1 As shown, the precision temperature control water cooling system based on SVG technology includes: The SVG control core module is used to generate and dynamically adjust the water cooling system control commands based on the operating status and heat dissipation requirements of the SVG reactive power compensation device. The multi-dimensional temperature monitoring network consists of various temperature sensors distributed in the water-cooled pipeline, the heat dissipation terminal of the SVG device, and the coolant storage cavity, which are used to collect temperature data and generate temperature field information. The adaptive flow regulation water circulation component adjusts the coolant flow rate and direction according to the instructions of the SVG control core module and temperature field information; Composite heat exchange modules heat or cool coolant by combining different heat exchange methods; The intelligent data processing hub receives multi-dimensional temperature monitoring network data, analyzes and processes it, and then feeds it back to the SVG control core module.

[0020] Specifically, the system uses the SVG (Static Var Compensator) as its core service object. The SVG control core module determines the heat dissipation requirements by monitoring the real-time operating status of the SVG device and the operating parameters of the water cooling system itself. Based on this, the preset heat dissipation control strategy is translated into specific control commands. A multi-dimensional temperature monitoring network collects temperature data from different locations and angles through various temperature sensors distributed in the water cooling pipeline, the SVG device's heat dissipation terminal, and the coolant storage chamber. This data is processed by the temperature data fusion unit to generate comprehensive temperature field information. The adaptive flow regulation water circulation component receives control commands and temperature field information, and changes the flow rate and direction of the coolant by adjusting the opening of the electric regulating valve in the multi-branch variable diameter water cooling pipeline. The composite heat exchange module combines different heat exchange methods to regulate the coolant temperature according to the control commands. The intelligent data processing center receives data from the temperature monitoring network, analyzes and processes it, and feeds it back to the SVG control core module to assist in optimizing control commands, forming a closed-loop precise temperature control system.

[0021] Through the coordinated operation of various modules, precise temperature control of the SVG reactive power compensation device is achieved. Compared with traditional water-cooling systems, this system can quickly respond to changes in the operating status of the SVG device, adjust the temperature and flow of the coolant in a timely manner, and avoid overheating or overcooling problems caused by inaccurate temperature control. This effectively improves the operating efficiency and service life of the SVG device and ensures the stable operation of the power system.

[0022] The SVG control core module includes: The instruction generation unit is used to convert the heat dissipation control logic of the SVG reactive power compensation device into control instructions. The dynamic command optimization unit adjusts the control command parameters based on the real-time operating parameters of the water-cooling system and the load changes of the SVG device using a particle swarm optimization algorithm. The update formula for the particle swarm optimization algorithm is as follows: in, For particle velocity, For inertial weights, , As a learning factor, , It is a random number. This represents the optimal position for an individual particle. The optimal position globally. This represents the particle's current position. The instruction output interface transmits the optimized SVG instructions to the corresponding execution module.

[0023] Specifically, the instruction generation unit converts the heat dissipation control logic of the SVG reactive power compensation device, such as temperature control targets and flow regulation strategies under different loads, into computer-recognizable control instructions. The dynamic instruction optimization unit uses a particle swarm optimization algorithm, taking the real-time operating parameters of the water cooling system and the load changes of the SVG device as inputs, and continuously iterates and updates the velocity and position of the particles (corresponding to the control instruction parameters) to find the optimal combination of control instruction parameters. The instruction output interface then accurately transmits the optimized control instructions to the execution modules such as the adaptive flow regulation water circulation component and the composite heat exchange module according to a specific communication protocol.

[0024] This enables the SVG control core module to dynamically optimize control commands. It can quickly adjust control command parameters based on the real-time operating status of the SVG device, generating more precise control commands. Compared to traditional fixed-parameter control methods, this significantly improves the response speed and accuracy of temperature control, ensuring that the water-cooling system provides optimal heat dissipation for the SVG device under various operating conditions.

[0025] The instruction generation unit converts the temperature control target of the SVG device into control instruction parameters, and establishes a correspondence between the parameters and the temperature adjustment range, as shown in the formula: in, For temperature adjustment range, To control command parameters, This is a proportionality coefficient, which is determined based on the heat dissipation characteristics of the SVG device and the heat exchange efficiency factor of the water cooling system. It is used to quantify the impact of changes in control command parameters on the temperature regulation range.

[0026] Specifically, the instruction generation unit converts the temperature control target of the SVG device into specific control instruction parameters. It establishes a correspondence between these control instruction parameters and the temperature adjustment range. This correspondence comprehensively considers the heat dissipation characteristics of the SVG device, such as its heat dissipation area and thermal conductivity, as well as the heat exchange efficiency of the water cooling system, such as the performance of the heat exchanger and the flow rate of the coolant. This provides a clear quantitative basis for temperature control, enabling the control commands to accurately reflect the temperature adjustment requirements. When the SVG device needs to adjust its temperature, the instruction generation unit can quickly generate the corresponding control instruction parameters based on this correspondence, ensuring that the water cooling system operates within the expected temperature adjustment range, further improving the accuracy and reliability of temperature control.

[0027] The multi-dimensional temperature monitoring network includes: A high-precision contact temperature sensor array is arranged on the contact surface between the heat dissipation terminal and the coolant of the SVG device; A non-contact infrared temperature sensor array is installed outside the water-cooling piping. The temperature data fusion unit performs weighted fusion of data from different types of sensors. The fusion formula is as follows: in, This is the temperature value after fusion. Assign weights to each sensor. This corresponds to the sensor measurement value.

[0028] Specifically, high-precision contact temperature sensor arrays are directly installed on the surface of the SVG device's heat dissipation terminal that contacts the coolant, enabling real-time and accurate temperature measurement of the heat dissipation terminal. Non-contact infrared temperature sensor arrays are installed externally on the water-cooling piping, utilizing infrared radiation to quickly acquire the temperature distribution of the coolant within the piping. The temperature data fusion unit dynamically adjusts the weights of different sensors in the data fusion process based on their response time and measurement accuracy. It comprehensively processes data collected from different types of sensors to generate comprehensive and accurate temperature field information. Compared to traditional single-type sensor temperature monitoring methods, the multi-dimensional temperature monitoring network can acquire temperature data from multiple angles and locations, and improves the accuracy and comprehensiveness of temperature monitoring through data fusion technology. This provides reliable temperature data support for the SVG control core module, enabling it to make more precise control decisions and avoid control deviations caused by inaccurate temperature monitoring.

[0029] The temperature data fusion unit dynamically adjusts the weights of each sensor based on the sensor's response time and measurement accuracy.

[0030] Specifically, during the operation of the water-cooling system, the performance of different sensors can change due to environmental factors such as temperature, humidity, and their own aging. The temperature data fusion unit monitors the response time and measurement accuracy of each sensor in real time. When the response time of a sensor increases or its measurement accuracy decreases, it automatically reduces the weight of that sensor in the data fusion; conversely, if a sensor performs well, its weight is increased. Through this dynamic adjustment, it ensures that the fused temperature data always accurately reflects the actual temperature condition of the system. This further improves the accuracy and reliability of temperature data fusion, making the temperature field information more realistic and trustworthy.

[0031] The adaptive flow regulation water circulation component includes: Multi-branch variable diameter water-cooled piping, with each branch piping equipped with an independent electric regulating valve; Miniature turbine flow meter units are installed at the inlet of each branch pipeline; The flow coordination control unit, based on the instructions from the SVG control core module and temperature field data, adjusts the opening of each electric regulating valve to achieve differentiated flow distribution of coolant in different branch pipelines.

[0032] Specifically, the multi-branch variable-diameter water-cooled piping provides the physical basis for differentiated coolant distribution. Each branch has an independent electrically controlled regulating valve to precisely control the coolant flow rate. Miniature turbine flowmeters are installed at the inlet of each branch to measure the coolant flow rate in real time and feed the data back to the flow coordination control unit. Based on commands from the SVG control core module and temperature field information generated by the multi-dimensional temperature monitoring network, the flow coordination control unit uses a specific control algorithm to calculate the optimal opening degree of each electrically controlled regulating valve, thereby achieving differentiated coolant flow distribution across different branch pipes.

[0033] The flow control unit uses a model predictive control algorithm to regulate the electric regulating valve. The objective function of the model predictive control algorithm is: in, Let be the objective function. To predict the time domain, For target traffic, This represents the actual traffic volume. These are the weighting coefficients. To control the time domain, To control the increment of quantity.

[0034] Specifically, the control algorithm employed by the flow control unit aims to minimize the objective function. Within each control cycle, the system model predicts the coolant flow rate of each branch pipe over a future period. The predicted actual flow rate is then compared with the target flow rate. By considering changes in the control parameters, the optimal adjustment of the electric regulating valve within the current control cycle is calculated. By adjusting the opening of the electric regulating valve, the actual flow rate gradually approaches the target flow rate. Compared to traditional flow control methods, this control algorithm offers better dynamic performance and anti-interference capabilities. It can predict coolant flow rate trends in advance and make precise adjustments based on the prediction results, rapidly responding to changes in the SVG device's operating status.

[0035] The composite heat exchange module includes: The electric heating and air-cooling co-heating unit uses an electric heating wire as the heating element, combined with a forced air-cooling device. The heating output is adjusted by controlling the current of the electric heating wire, and the air-cooling device adjusts the air speed according to the instructions of the SVG control core module to control the heating rate and temperature uniformity. The heat pump cooling and water cooling combined cooling unit uses the heat pump system to transfer the heat in the coolant to the outside, and at the same time combines the water cooling fins to remove the waste heat generated by the heat pump system through water circulation, thereby enhancing the cooling effect. The heat exchange mode switching and proportional adjustment unit quickly switches between heating and cooling modes according to the instructions issued by the SVG control core module, or precisely adjusts the working ratio of heating and cooling modes according to the system temperature requirements to achieve precise control of coolant temperature.

[0036] Specifically, in the electric heating and air-cooling co-heating unit, the electric heating wire generates heat through electric current to heat the coolant. The forced air cooling device adjusts the fan speed according to the instructions of the SVG control core module to accelerate heat dissipation, thereby controlling the heating rate and temperature uniformity. The heat pump and water-cooling composite cooling unit uses a heat pump system to transfer heat from the coolant to the outside, while the water-cooled heat sink fins remove waste heat generated by the heat pump system through water circulation, enhancing the cooling effect. The heat exchange mode switching and proportional adjustment unit, according to the instructions of the SVG control core module, can quickly switch between heating and cooling modes, or precisely adjust the co-operation ratio of heating and cooling modes according to the system's temperature requirements, achieving precise control of the coolant temperature.

[0037] In the aforementioned heat pump refrigeration and water-cooled combined refrigeration unit, the refrigeration power of the heat pump is related to the compressor operating frequency and refrigerant flow rate. The formula for calculating the refrigeration power is as follows: in, For cooling capacity, , For coefficients, The compressor's operating frequency, This represents the refrigerant flow rate.

[0038] Specifically, in a heat pump refrigeration and water-cooled combined refrigeration unit, the refrigeration power of the heat pump is closely related to the operating frequency of the compressor and the flow rate of the refrigerant. By adjusting the operating frequency of the compressor and the flow rate of the refrigerant, the refrigeration power of the heat pump can be precisely controlled.

[0039] The intelligent data processing center includes: An abnormal temperature pattern recognition unit identifies abnormal temperature change patterns based on historical temperature data and preset thresholds. The control strategy suggestion generation unit generates optimized control strategy suggestions based on abnormal temperature patterns and historical data from the SVG control core module. The data feedback interface transmits the processing results and strategy suggestions to the SVG control core module.

[0040] Specifically, the abnormal temperature pattern recognition unit analyzes real-time temperature data using pattern recognition algorithms based on historical temperature data and preset thresholds. When a temperature change conforming to a preset abnormal pattern is detected, such as a sharp temperature rise or a sustained deviation from the set range, the abnormal temperature situation is promptly identified. The control strategy suggestion generation unit, based on the identified abnormal temperature pattern and combined with historical instruction data from the SVG control core module, uses optimization algorithms to generate control strategy suggestions for the abnormal situation, such as adjusting heating or cooling power or changing coolant flow rate. The data feedback interface transmits the processing results and control strategy suggestions to the SVG control core module to help it adjust control commands. This enables the system to possess intelligent diagnostic and self-optimization capabilities, allowing it to promptly detect abnormal temperature situations and quickly generate effective control strategies, assisting the SVG control core module in making more reasonable control decisions.

[0041] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A precision temperature-controlled water cooling system based on SVG technology, characterized in that, include: The SVG control core module is used to generate and dynamically adjust the water cooling system control commands based on the operating status and heat dissipation requirements of the SVG reactive power compensation device. The multi-dimensional temperature monitoring network consists of various temperature sensors distributed in the water-cooled pipeline, the heat dissipation terminal of the SVG device, and the coolant storage cavity, which are used to collect temperature data and generate temperature field information. The adaptive flow regulation water circulation component adjusts the coolant flow rate and direction according to the instructions of the SVG control core module and temperature field information; Composite heat exchange modules heat or cool coolant by combining different heat exchange methods; The intelligent data processing hub receives multi-dimensional temperature monitoring network data, analyzes and processes it, and then feeds it back to the SVG control core module.

2. The precision temperature control water cooling system based on SVG technology according to claim 1, characterized in that, The SVG control core module includes: The instruction generation unit is used to convert the heat dissipation control logic of the SVG reactive power compensation device into control instructions. The dynamic command optimization unit adjusts the control command parameters based on the real-time operating parameters of the water-cooling system and the load changes of the SVG device using a particle swarm optimization algorithm. The update formula for the particle swarm optimization algorithm is as follows: in, For particle velocity, For inertial weights, , As a learning factor, , It is a random number. This represents the optimal position for an individual particle. To be the globally optimal position This represents the particle's current position. The instruction output interface transmits the optimized SVG instructions to the corresponding execution module.

3. The precision temperature control water cooling system based on SVG technology according to claim 2, characterized in that, The instruction generation unit converts the temperature control target of the SVG device into control instruction parameters, and establishes a correspondence between the parameters and the temperature adjustment range, as shown in the formula: in, For temperature adjustment range, To control command parameters, This is a proportionality coefficient, which is determined based on the heat dissipation characteristics of the SVG device and the heat exchange efficiency factor of the water cooling system. It is used to quantify the impact of changes in control command parameters on the temperature regulation range.

4. The precision temperature control water cooling system based on SVG technology according to claim 1, characterized in that, The multi-dimensional temperature monitoring network includes: A high-precision contact temperature sensor array is arranged on the contact surface between the heat dissipation terminal and the coolant of the SVG device; A non-contact infrared temperature sensor array is installed outside the water-cooling piping. The temperature data fusion unit performs weighted fusion of data from different types of sensors. The fusion formula is as follows: in, This is the temperature value after fusion. Assign weights to each sensor. This corresponds to the sensor measurement value.

5. The precision temperature control water cooling system based on SVG technology according to claim 4, characterized in that, The temperature data fusion unit dynamically adjusts the weights of each sensor based on the sensor's response time and measurement accuracy.

6. The precision temperature control water cooling system based on SVG technology according to claim 1, characterized in that, The adaptive flow regulation water circulation component includes: Multi-branch variable diameter water-cooled piping, with each branch piping equipped with an independent electric regulating valve; Miniature turbine flow meter units are installed at the inlet of each branch pipeline; The flow coordination control unit, based on the instructions from the SVG control core module and temperature field data, adjusts the opening of each electric regulating valve to achieve differentiated flow distribution of coolant in different branch pipelines.

7. The precision temperature control water cooling system based on SVG technology according to claim 6, characterized in that, The flow control unit uses a model predictive control algorithm to regulate the electric regulating valve. The objective function of the model predictive control algorithm is: in, Let be the objective function. To predict the time domain, For target traffic, This represents the actual traffic volume. These are the weighting coefficients. To control the time domain, To control the increment of quantity.

8. The precision temperature control water cooling system based on SVG technology according to claim 1, characterized in that, The composite heat exchange module includes: The electric heating and air-cooling co-heating unit uses an electric heating wire as the heating element, combined with a forced air-cooling device. The heating output is adjusted by controlling the current of the electric heating wire, and the air-cooling device adjusts the air speed according to the instructions of the SVG control core module to control the heating rate and temperature uniformity. The heat pump cooling and water cooling combined cooling unit uses the heat pump system to transfer the heat in the coolant to the outside, and at the same time combines the water cooling fins to remove the waste heat generated by the heat pump system through water circulation, thereby enhancing the cooling effect. The heat exchange mode switching and proportional adjustment unit quickly switches between heating and cooling modes according to the instructions issued by the SVG control core module, or precisely adjusts the working ratio of heating and cooling modes according to the system temperature requirements to achieve precise control of coolant temperature.

9. The precision temperature control water cooling system based on SVG technology according to claim 8, characterized in that, In the aforementioned heat pump refrigeration and water-cooled combined refrigeration unit, the refrigeration power of the heat pump is related to the compressor operating frequency and refrigerant flow rate. The formula for calculating the refrigeration power is as follows: in, For cooling capacity, , For coefficients, The compressor's operating frequency, This represents the refrigerant flow rate.

10. The precision temperature control water cooling system based on SVG technology according to claim 1, characterized in that, The intelligent data processing center includes: An abnormal temperature pattern recognition unit identifies abnormal temperature change patterns based on historical temperature data and preset thresholds. The control strategy suggestion generation unit generates optimized control strategy suggestions based on abnormal temperature patterns and historical data from the SVG control core module. The data feedback interface transmits the processing results and strategy suggestions to the SVG control core module.

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