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] The present invention relates to the technical field of water cooling systems, and specifically to a precise temperature control water cooling system based on SVG technology. Background Art

[0002] In the power system, as a key device for improving power quality, SVG (reactive power compensation device) generates heat during operation due to power loss, and this heat needs to be dissipated in a timely manner to ensure stable operation. Although existing SVG water cooling systems can achieve basic cooling functions, they have deficiencies in precise temperature control. Traditional systems mostly use a single type of temperature sensor, which can only obtain local temperature information and is difficult to comprehensively reflect the temperature distribution of SVG devices and coolant; moreover, the control strategy is relatively fixed, and the control instruction parameters cannot be flexibly adjusted according to the real-time operating conditions of the system. When the load of SVG devices changes, resulting in different heat generation, the water cooling system is difficult to quickly and precisely adjust the coolant flow rate and heat exchange power, resulting in certain hysteresis and deviation in coolant temperature control, which affects the operating efficiency and lifespan of SVG devices. Summary of the Invention

[0003] To solve the above technical problems, a precise temperature control water cooling system based on SVG technology is provided, and this technical solution solves the above problems.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] A precise temperature control water cooling system based on SVG technology, comprising:

[0006] An SVG control core module, configured to generate and dynamically adjust water cooling system control instructions according to the operating state and heat dissipation requirements of the SVG reactive power compensation device;

[0007] A multi-dimensional temperature monitoring network, composed of various temperature sensors distributed in the water cooling pipeline, the heat dissipation terminal of the SVG device, and the coolant storage chamber, for collecting temperature data and generating temperature field information;

[0008] An adaptive flow regulation water circulation component, which adjusts the coolant flow rate and flow direction according to the instructions of the SVG control core module and the temperature field information;

[0009] A composite heat exchange module, which heats or cools the coolant by combining different heat exchange methods;

[0010] An intelligent data processing center, which receives the data of the multi-dimensional temperature monitoring network, analyzes and processes it, and then feeds it back to the SVG control core module.

[0011] Preferably, the SVG control core module includes:

[0012] An instruction generation unit for converting the heat dissipation control logic of the SVG reactive power compensation device into control instructions;

[0013] A dynamic instruction optimization unit that, based on the real-time operating parameters of the water cooling system and the load changes of the SVG device, uses the particle swarm optimization algorithm to adjust the control instruction parameters. The update formula of the particle swarm optimization algorithm is:

[0014] v ij (t + 1) = ωv ij (t) + c1r 1j (t)(p ij -x ij (t)) + c2r 2j (t)(p gj -x ij (t))

[0015] x ij (t + 1) = x ij (t) + v ij (t + 1)

[0016] Wherein, v ij is the particle velocity, ω is the inertia weight, c1 and c2 are learning factors, r 1j 、r 2j are random numbers, p ij is the individual optimal position of the particle, p gj is the global optimal position, x ij is the current position of the particle;

[0017] An instruction output interface for transmitting the optimized SVG instruction to the corresponding execution module.

[0018] Preferably, the instruction generation unit converts the temperature control target of the SVG device into control instruction parameters and establishes a corresponding relationship between the parameters and the temperature adjustment range. The formula is:

[0019] ΔT = α × C

[0020] Wherein, ΔT is the temperature adjustment range, C is the control instruction parameter, α is the proportionality coefficient, and this coefficient is determined according to factors such as the heat dissipation characteristics of the SVG device and the heat exchange efficiency of the water cooling system, and is used to quantify the influence of the change of the control instruction parameter on the temperature adjustment range.

[0021] Preferably, the multi-dimensional temperature monitoring network includes:

[0022] A high-precision contact temperature sensor group arranged on the contact surface between the heat dissipation terminal of the SVG device and the coolant;

[0023] A non-contact infrared temperature sensor array installed outside the water cooling pipeline;

[0024] The temperature data fusion unit performs weighted fusion on data from different types of sensors. The fusion formula is as follows:

[0025]

[0026] where T is the fused temperature value, w i is the weight of each sensor, and T i is the measured value of the corresponding sensor.

[0027] Preferably, the temperature data fusion unit dynamically adjusts the weights of each sensor according to the response time and measurement accuracy of the sensors.

[0028] Preferably, the adaptive flow regulation water circulation component includes:

[0029] A multi-branch variable-diameter water-cooled pipeline, and each branch pipeline is provided with an independent electric control valve;

[0030] A micro-turbine flowmeter group, installed at the inlet of each branch pipeline;

[0031] A flow rate collaborative control unit, according to the instructions of the SVG control core module and the temperature field data, realizes differential flow distribution of the coolant in different branch pipelines by adjusting the opening degrees of each electric control valve.

[0032] Preferably, the flow rate collaborative control unit uses a model predictive control algorithm to adjust the electric control valve. The objective function of the model predictive control algorithm is:

[0033]

[0034] where J is the objective function, N p is the prediction horizon, y sp,i is the target flow rate, y i is the actual flow rate, ρ is the weight coefficient, N c is the control horizon, and Δu i is the control variable increment.

[0035] Preferably, the composite heat exchange module includes:

[0036] An electric heating and air-cooling collaborative heating unit, which uses an electric heating wire as a heating element, cooperates with a forced air-cooling device, adjusts the heating quantity by controlling the current magnitude of the electric heating wire, and the air-cooling device adjusts the wind speed according to the instructions of the SVG control core module to control the heating rate and temperature uniformity;

[0037] A heat pump refrigeration and water-cooling composite refrigeration unit, which transfers the heat in the coolant to the outside by using a heat pump system, and at the same time combines water-cooling radiating fins to take away the waste heat generated by the heat pump system through water circulation to enhance the refrigeration effect;

[0038] The heat exchange mode switching and ratio adjustment unit, according to the instructions issued by the SVG control core module, quickly switches between the heating and cooling modes, or precisely adjusts the collaborative working ratio of the heating and cooling modes according to the system temperature requirements, so as to accurately control the coolant temperature.

[0039] Preferably, in the heat pump refrigeration and water-cooled composite refrigeration unit, the refrigeration power of the heat pump is related to the compressor operating frequency and refrigerant flow rate, and the refrigeration power calculation formula is:

[0040] P = k1×f + k2×Q

[0041] Wherein, P is the refrigeration power, k1 and k2 are coefficients, f is the compressor operating frequency, and Q is the refrigerant flow rate.

[0042] Preferably, the intelligent data processing center includes:

[0043] The abnormal temperature mode recognition unit, based on historical temperature data and preset thresholds, recognizes the abnormal temperature change mode;

[0044] The control strategy recommendation generation unit, according to the abnormal temperature mode, combines the historical data of the SVG control core module instructions to generate optimized control strategy recommendations;

[0045] The data feedback interface transmits the processing results and strategy recommendations to the SVG control core module.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0047] By combining the high-precision contact temperature sensor group arranged in the water-cooled pipeline, the heat dissipation terminal of the SVG device and the coolant storage cavity with the non-contact infrared temperature sensor array, temperature data is collected from multiple positions and perspectives. At the same time, the temperature data fusion unit dynamically adjusts the weights of each sensor in data fusion according to the response time and measurement accuracy of the sensors, and processes the data using the weighted fusion formula, establishing a comprehensive and accurate temperature field information acquisition mechanism. Compared with the traditional single temperature monitoring method, the accuracy and integrity of temperature data are significantly improved, laying a solid data foundation for the precise temperature control of the water-cooled system, and effectively avoiding control errors caused by temperature monitoring deviations.

[0048] By converting the heat dissipation control logic of the SVG reactive power compensation device into control instructions, converting the temperature control target into control instruction parameters, establishing the corresponding relationship between the parameters and the temperature adjustment range, and using the particle swarm optimization algorithm to adjust the control instruction parameters, the control instructions can be dynamically optimized according to the actual operating state of the SVG device. Compared with the traditional control method with fixed parameters, the response speed and accuracy of temperature control are significantly improved.

[0049] Based on the instructions issued by the SVG control core module and the temperature field data generated by the multi-dimensional temperature monitoring network, the flow collaborative control unit uses the model predictive control algorithm, with the objective function as the optimization guidance, to precisely regulate the electric control valve. Combining the structural characteristics of the multi-branch variable-diameter water-cooled pipeline and the real-time flow monitoring function of the micro-turbine flowmeter group, it constructs an adaptive regulation system for the coolant flow and direction. Compared with the traditional fixed flow control mode, it can quickly and accurately dynamically allocate the coolant flow according to the heat dissipation requirements of different parts of the SVG device, avoiding problems such as local overheating or cooling redundancy, and greatly improving the heat dissipation efficiency and energy consumption optimization level of the water-cooling system. Brief Description of the Drawings

[0050] Figure 1 It is a flowchart of the present invention. Detailed Implementation Modes

[0051] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0052] Refer to Figure 1 As shown, the precise temperature control water-cooling system based on SVG technology includes:

[0053] The SVG control core module is used to generate and dynamically adjust the water-cooling system control instructions according to the operating state and heat dissipation requirements of the SVG reactive power compensation device;

[0054] The multi-dimensional temperature monitoring network is composed of various temperature sensors distributed in the water-cooling pipeline, the heat dissipation terminal of the SVG device, and the coolant storage cavity, and is used to collect temperature data and generate temperature field information;

[0055] The adaptive flow regulation water circulation component adjusts the coolant flow and direction according to the instructions of the SVG control core module and the temperature field information;

[0056] The composite heat exchange module heats or cools the coolant by combining different heat exchange methods;

[0057] The intelligent data processing center receives the data of the multi-dimensional temperature monitoring network, analyzes and processes it, and then feeds it back to the SVG control core module.

[0058] Specifically, the system takes the SVG reactive power compensation device as the core service object. The SVG control core module judges its heat dissipation requirements by monitoring the operating status of the SVG device and the operating parameters of the water cooling system in real time. Based on this, the preset heat dissipation control strategy is converted into specific control instructions. The multi-dimensional temperature monitoring network collects temperature data from different positions and angles through a variety of temperature sensors distributed in the water cooling pipeline, the heat dissipation terminal of the SVG device, and the coolant storage cavity. These data are processed by the temperature data fusion unit to generate comprehensive temperature field information. The adaptive flow regulation water circulation component receives the control instructions and temperature field information, and changes the flow rate and direction of the coolant by adjusting the opening of the electric control valve in the multi-branch variable-diameter water cooling pipeline. The composite heat exchange module adjusts the temperature of the coolant by combining different heat exchange methods according to the control instructions. The intelligent data processing center receives the data of the temperature monitoring network, analyzes and processes them, and then feeds them back to the SVG control core module to assist it in optimizing the control instructions, forming a closed-loop precision temperature control system.

[0059] Through the collaborative work of each module, precise temperature control of the SVG reactive power compensation device is achieved. Compared with the traditional water cooling system, this system can quickly respond to changes in the operating status of the SVG device, timely adjust the temperature and flow rate of the coolant, avoid equipment overheating or excessive cooling problems caused by inaccurate temperature control, effectively improve the operating efficiency and service life of the SVG device, and ensure the stable operation of the power system.

[0060] The SVG control core module includes:

[0061] An instruction generation unit for converting the heat dissipation control logic of the SVG reactive power compensation device into control instructions;

[0062] A dynamic instruction optimization unit that adjusts the control instruction parameters using the particle swarm optimization algorithm based on the real-time operating parameters of the water cooling system and the load change of the SVG device. The update formula of the particle swarm optimization algorithm is:

[0063] v ij (t + 1) = ωv ij (t) + c1r 1j (t)(p ij -x ij (t)) + c2r 2j (t)(p gj -x ij (t))

[0064] x ij (t + 1) = x ij (t) + v ij (t + 1)

[0065] Among them, v ijis the particle velocity, ω is the inertia weight, c1 and c2 are learning factors, r 1j and r 2j are random numbers, p ij is the individual optimal position of the particle, p gj is the global optimal position, x ij is the current position of the particle;

[0066] The instruction output interface transmits the optimized SVG instructions to the corresponding execution module.

[0067] Specifically, the instruction generation unit converts the heat dissipation control logic of the SVG reactive power compensation device, such as the temperature control target under different loads, the flow regulation strategy, etc., into control instructions recognizable by a computer. The dynamic instruction optimization unit uses the particle swarm optimization algorithm, takes the real-time operation parameters of the water cooling system and the load change of the SVG device as inputs, and by continuously iteratively updating the velocity and position of the particles (corresponding to the control instruction parameters), searches for 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.

[0068] It enables the SVG control core module to have the ability to dynamically optimize control instructions. It can quickly adjust the control instruction parameters according to the real-time operation state of the SVG device and generate more accurate control instructions. Compared with the traditional control method with fixed parameters, it significantly improves the response speed and accuracy of temperature control, ensuring that the water cooling system can provide the best heat dissipation effect for the SVG device under various working conditions.

[0069] The instruction generation unit converts the temperature control target of the SVG device into control instruction parameters and establishes the corresponding relationship between the parameters and the temperature adjustment range. The formula is:

[0070] ΔT = α × C

[0071] where ΔT is the temperature adjustment range, C is the control instruction parameter, and α is the proportionality coefficient. This coefficient is determined according to the heat dissipation characteristics of the SVG device and the heat exchange efficiency factors of the water cooling system, and is used to quantify the influence of the change of the control instruction parameter on the temperature adjustment range.

[0072] Specifically, the instruction generation unit converts the temperature control target of the SVG device into specific control instruction parameters. It establishes the corresponding relationship between the control instruction parameters and the temperature adjustment range, which comprehensively considers the heat dissipation characteristics of the SVG device, such as the heat dissipation area, heat conduction coefficient, etc., and the heat exchange efficiency of the water cooling system, such as the performance of the heat exchanger, the flow rate of the coolant, etc. This provides a clear quantitative basis for temperature control, enabling the control instructions to accurately reflect the requirements of temperature adjustment. When the SVG device needs to adjust its temperature, the instruction generation unit can quickly generate the corresponding control instruction parameters according to this corresponding relationship, ensuring that the water cooling system can operate according to the expected temperature adjustment range, further improving the accuracy and reliability of temperature control.

[0073] The multi-dimensional temperature monitoring network includes:

[0074] A high-precision contact temperature sensor group arranged on the contact surface between the heat dissipation terminal of the SVG device and the coolant;

[0075] A non-contact infrared temperature sensor array installed outside the water cooling pipeline;

[0076] A temperature data fusion unit that performs weighted fusion on the data of different types of sensors. The fusion formula is:

[0077]

[0078] where T is the fused temperature value, w i is the weight of each sensor, and T i is the measured value of the corresponding sensor.

[0079] Specifically, the high-precision contact temperature sensor group is directly installed on the contact surface between the heat dissipation terminal of the SVG device and the coolant, and can measure the temperature of the heat dissipation terminal in real time and accurately. The non-contact infrared temperature sensor array is installed outside the water cooling pipeline, and uses the principle of infrared radiation to quickly obtain the temperature distribution of the coolant in the pipeline. The temperature data fusion unit will dynamically adjust their weights in data fusion according to the response time and measurement accuracy of different sensors. It comprehensively processes the data collected by different types of sensors and finally generates comprehensive and accurate temperature field information. Compared with the traditional single-type sensor temperature monitoring method, the multi-dimensional temperature monitoring network can obtain temperature data from multiple angles and positions, and improves the accuracy and comprehensiveness of temperature monitoring through data fusion technology. It provides reliable temperature data support for the SVG control core module, enabling the control core module to make more accurate control decisions and avoiding control deviations caused by inaccurate temperature monitoring.

[0080] The temperature data fusion unit dynamically adjusts the weights of each sensor according to the response time and measurement accuracy of the sensor.

[0081] Specifically, during the operation of the water cooling system, the performance of different sensors will change due to environmental factors such as temperature, humidity, and its own aging. The temperature data fusion unit will monitor the response time and measurement accuracy of each sensor in real time. When the response time of a certain sensor becomes longer or the measurement accuracy decreases, it will automatically reduce the weight of this sensor in data fusion; conversely, if the performance of a certain sensor is good, its weight will be increased. Through this dynamic adjustment method, it is ensured that the fused temperature data can always accurately reflect the actual temperature condition of the system. Further improving the accuracy and reliability of temperature data fusion, making the temperature field information more real and credible.

[0082] The adaptive flow regulation water circulation component includes:

[0083] A multi-branch variable-diameter water cooling pipeline, and each branch pipeline is provided with an independent electric control valve;

[0084] A micro turbine flowmeter group, installed at the inlet of each branch pipeline;

[0085] A flow coordination control unit, according to the instructions of the SVG control core module and the temperature field data, realizes the differential flow distribution of the coolant in different branch pipelines by adjusting the opening degrees of each electric control valve.

[0086] Specifically, the multi-branch variable-diameter water cooling pipeline provides a physical basis for the differential distribution of the coolant. Each branch pipeline has an independent electric control valve, which can precisely control the flow rate of the coolant. The micro turbine flowmeter group is installed at the inlet of each branch pipeline, measures the flow rate of the coolant in real time, and feeds the measurement data back to the flow coordination control unit. The flow coordination control unit, according to the instructions issued by the SVG control core module and the temperature field information generated by the multi-dimensional temperature monitoring network, uses a specific control algorithm to calculate the optimal opening degrees of each electric control valve, so as to realize the differential flow distribution of the coolant in different branch pipelines.

[0087] The flow coordination control unit uses a model predictive control algorithm to adjust the electric control valve. The objective function of the model predictive control algorithm is:

[0088]

[0089] Among them, J is the objective function, N p is the prediction time domain, y sp,i is the target flow rate, y i is the actual flow rate, ρ is the weight coefficient, N c is the control time domain, Δu iis the increment of the control quantity.

[0090] Specifically, the control algorithm adopted by the flow coordination control unit aims to minimize the objective function. In each control cycle, it predicts the coolant flow rates of each branch pipeline in the future for a certain period according to the system model, then compares the predicted actual flow rates with the target flow rates, and combines the change situation of the control quantity to calculate the optimal adjustment quantity of the electric control valve in the current control cycle. By adjusting the opening degree of the electric control valve, the actual flow rate gradually approaches the target flow rate. Compared with the traditional flow control method, this control algorithm has better dynamic performance and anti-interference ability. It can predict the change trend of the coolant flow rate in advance and make precise adjustments according to the prediction results, quickly responding to the change of the operating state of the SVG device.

[0091] The composite heat exchange module includes:

[0092] An electric heating and air-cooling collaborative heating unit, which uses an electric heating wire as the heating element and cooperates with a forced air-cooling device. It adjusts the heat generation amount by controlling the current of the electric heating wire, and the air-cooling device adjusts the wind speed according to the instructions of the SVG control core module to control the heating rate and temperature uniformity;

[0093] A heat pump refrigeration and water-cooling composite refrigeration unit, which uses a heat pump system to transfer the heat in the coolant to the outside world, and at the same time combines water-cooling radiating fins to take away the waste heat generated by the heat pump system through water circulation to enhance the refrigeration effect;

[0094] A heat exchange mode switching and ratio adjustment unit, which quickly switches between the heating and refrigeration modes according to the instructions issued by the SVG control core module, or accurately regulates the collaborative working ratio of the heating and refrigeration modes according to the system temperature requirements to achieve precise control of the coolant temperature.

[0095] Specifically, in the electric heating and air-cooling collaborative heating unit, the electric heating wire generates heat by passing current to heat the coolant, and the forced air-cooling device adjusts the wind speed according to the instructions of the SVG control core module to accelerate the heat dissipation, thereby controlling the heating rate and temperature uniformity. The heat pump refrigeration and water-cooling composite refrigeration unit uses a heat pump system to transfer the heat in the coolant to the outside world, and at the same time the water-cooling radiating fins take away the waste heat generated by the heat pump system through water circulation to enhance the refrigeration effect. The heat exchange mode switching and ratio adjustment unit can quickly switch between the heating and refrigeration modes according to the instructions of the SVG control core module, or accurately regulate the collaborative working ratio of the heating and refrigeration modes according to the system temperature requirements to achieve precise control of the coolant temperature.

[0096] In the heat pump refrigeration and water-cooling composite refrigeration unit, the refrigeration power of the heat pump is related to the working frequency of the compressor and the refrigerant flow rate. The refrigeration power calculation formula is:

[0097] P = k1×f + k2×Q

[0098] Wherein, P is the refrigeration power, k1 and k2 are coefficients, f is the operating frequency of the compressor, and Q is the refrigerant flow rate.

[0099] Specifically, in the heat pump refrigeration and water-cooled composite refrigeration unit, the refrigeration power of the heat pump is closely related to the operating frequency of the compressor and the refrigerant flow rate. By adjusting the operating frequency of the compressor and the refrigerant flow rate, the refrigeration power of the heat pump can be accurately controlled.

[0100] The intelligent data processing center includes:

[0101] An abnormal temperature pattern recognition unit, which recognizes the abnormal temperature change pattern based on historical temperature data and a preset threshold;

[0102] A regulation strategy recommendation generation unit, which generates an optimized control strategy recommendation according to the abnormal temperature pattern and combines the historical data of the SVG control core module instructions;

[0103] A data feedback interface, which transmits the processing result and the strategy recommendation to the SVG control core module.

[0104] Specifically, the abnormal temperature pattern recognition unit will analyze the real-time temperature data using a pattern recognition algorithm based on historical temperature data and a preset threshold. When it detects that the temperature change conforms to a preset abnormal pattern, such as a sharp rise in temperature, continuous deviation from the set range, etc., it will promptly identify the abnormal temperature situation. The regulation strategy recommendation generation unit generates a regulation strategy recommendation for this abnormal situation, such as adjusting the heating or refrigeration power, changing the coolant flow rate, etc., according to the identified abnormal temperature pattern and combining the historical data of the SVG control core module instructions. The data feedback interface transmits the processing result and the regulation strategy recommendation to the SVG control core module to help it adjust the control instructions. This enables the system to have the ability of intelligent diagnosis and self-optimization, can promptly detect abnormal temperature situations, quickly generate effective regulation strategies, and assist the SVG control core module to make more reasonable control decisions.

[0105] The above shows and describes 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 by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed.

Claims

1. A precise temperature control water cooling system based on SVG technology, characterized in that, Including: An SVG control core module, which is used to generate and dynamically adjust the control instructions of the water-cooling system according to the operating status and heat dissipation requirements of the SVG reactive power compensation device; A multi-dimensional temperature monitoring network, which consists of a variety of temperature sensors distributed in the water-cooling pipeline, the heat dissipation terminal of the SVG device, and the coolant storage cavity, and is used to collect temperature data and generate temperature field information; An adaptive flow regulation water circulation component, which adjusts the coolant flow rate and flow direction according to the instructions of the SVG control core module and the temperature field information; A composite heat exchange module, which heats or cools the coolant by combining different heat exchange methods; An intelligent data processing center, which receives the data of the multi-dimensional temperature monitoring network, analyzes and processes it, and then feeds it back to the SVG control core module.

2. The precision temperature-controlled water cooling system based on SVG technology according to claim 1, wherein The SVG control core module includes: An instruction generation unit, which is used to convert the heat dissipation control logic of the SVG reactive power compensation device into control instructions; A dynamic instruction optimization unit, which adjusts the control instruction parameters based on the real-time operating parameters of the water-cooling system and the load change of the SVG device by using the particle swarm optimization algorithm. The update formula of the particle swarm optimization algorithm is: v ij (t + 1) = ωv ij (t) + c1r 1j (t)(p ij -x ij (t)) + c2r 2j (t)(p gj -x ij (t)) x ij (t + 1) = x ij (t) + v ij (t + 1) Among them, v ij is the particle velocity, ω is the inertia weight, c1 and c2 are the learning factors, r 1j and r 2j are random numbers, p ij is the individual optimal position of the particle, p gj is the global optimal position, and x ij is the current position of the particle; An instruction output interface, which transmits the optimized SVG instructions to the corresponding execution module.

3. The precision temperature-controlled 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 the corresponding relationship between the parameters and the temperature adjustment range. The formula is: ΔT = α × C Where, ΔT is the temperature adjustment range, C is the control instruction parameter, and α is the proportional coefficient. This coefficient is determined according to the heat dissipation characteristics of the SVG device and the heat exchange efficiency factors of the water-cooling system, and is used to quantify the influence of the change of the control instruction parameter on the temperature adjustment range.

4. The precision temperature-controlled 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 group, which is arranged on the contact surface between the heat dissipation terminal of the SVG device and the coolant; A non-contact infrared temperature sensor array, which is installed outside the water-cooling pipeline; A temperature data fusion unit, which performs weighted fusion on the data of different types of sensors. The fusion formula is: Among them, T is the temperature value after fusion, and w i is the weight of each sensor, and T i is the measured value of the corresponding sensor.

5. The precision temperature-controlled water cooling system based on SVG technology according to claim 4, wherein The temperature data fusion unit dynamically adjusts the weights of each sensor according to the response time and measurement accuracy of the sensor.

6. The precision temperature-controlled water cooling system based on SVG technology according to claim 1, wherein The adaptive flow regulation water circulation component includes: A multi-branch variable-diameter water-cooling pipeline, and each branch pipeline is provided with an independent electric control valve; A micro turbine flowmeter group, which is installed at the inlet of each branch pipeline; A flow coordination control unit, which realizes the differential flow distribution of the coolant in different branch pipelines by adjusting the opening degrees of each electric control valve according to the instructions of the SVG control core module and the temperature field data.

7. The precision temperature-controlled water-cooling system based on SVG technology according to claim 6, characterized in that, The flow coordination control unit uses the model predictive control algorithm to adjust the electric control valve. The objective function of the model predictive control algorithm is: Among them, J is the objective function, N p is the prediction horizon, y sp,i is the target flow rate, y i is the actual flow rate, ρ is the weight coefficient, N c is the control horizon, Δu i is the control increment.

8. The precision temperature-controlled water cooling system based on SVG technology according to claim 1, characterized in that The composite heat exchange module includes: An electric heating and air-cooling collaborative heating unit, which uses an electric heating wire as a heating element, cooperates with a forced air-cooling device, adjusts the heat generation amount by controlling the current magnitude of the electric heating wire, and the air-cooling device adjusts the wind speed according to the instructions of the SVG control core module to control the heating rate and temperature uniformity; A heat pump refrigeration and water-cooling composite refrigeration unit, which uses a heat pump system to transfer the heat in the coolant to the outside, and at the same time combines water-cooling heat dissipation fins to take away the waste heat generated by the heat pump system through water circulation to enhance the refrigeration effect; The heat exchange mode switching and ratio adjustment unit quickly switches between the heating and cooling modes according to the instructions issued by the SVG control core module, or accurately regulates the cooperation ratio of the heating and cooling modes according to the system temperature requirements, so as to accurately control the coolant temperature.

9. The precision temperature-controlled water cooling system based on SVG technology according to claim 8, characterized in that, In the heat pump refrigeration and water-cooled composite refrigeration unit, the refrigeration power of the heat pump is related to the operating frequency of the compressor and the refrigerant flow rate. The calculation formula for the refrigeration power is: P = k1×f + k2×Q Where, P is the refrigeration power, k1 and k2 are coefficients, f is the operating frequency of the compressor, and Q is the refrigerant flow rate.

10. The precision temperature-controlled water cooling system based on SVG technology according to claim 1, characterized in that, The intelligent data processing center includes: An abnormal temperature mode recognition unit that recognizes the abnormal temperature change mode based on historical temperature data and preset thresholds; A control strategy recommendation generation unit that generates an optimized control strategy recommendation according to the abnormal temperature mode and in combination with the historical data of the SVG control core module instructions; A data feedback interface that transmits the processing results and strategy recommendations to the SVG control core module.

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