Coupling regulation and control method and system for branch temperature and flow of thermal hydraulic experiment system

Abstract

The invention discloses a thermal hydraulic experiment system branch temperature and flow coupling regulation and control method and system, and relates to the field of thermal hydraulic experiment research. The invention discloses a thermal hydraulic experiment system branch temperature and flow coupling regulation and control method. The method comprises the following steps: acquiring historical data of a thermal hydraulic experiment system; working medium constant-pressure specific heat capacity is obtained; calculating a heating power coefficient; training the to-be-trained heating power coefficient prediction model to obtain a trained heating power coefficient prediction model; predicting to obtain a heating power coefficient prediction value; calculating to obtain a heating power feed-forward value; obtaining a heating power feedback adjustment value; according to the heating power feed-forward value and the heating power feedback value, the temperature of the fluid at the outlet of the experiment body is controlled. According to the invention, the outlet temperature of the body is efficiently and accurately regulated and controlled, and the problems of poor experiment reliability and efficiency are solved.

Description

Technical Field

[0001] The invention relates to the field of thermal hydraulic experiment research, and in particular to a coupling control method and system for branch temperature and flow of a thermal hydraulic experiment system. Background Art

[0002] The thermal hydraulic experimental system is an indispensable platform for studying thermal energy transfer and fluid dynamics processes, and is widely used in energy, chemical industry, HVAC and other fields. Such systems are usually designed with a complex main loop and experimental branch structure, where the main loop ensures a relatively constant fluid flow and temperature, providing a relatively stable boundary for the experimental branch. The experimental branch is the research object, and its core is to observe and analyze specific thermal phenomena or equipment performance of the experimental entity by precisely controlling the flow and temperature.

[0003] The experimental body, that is, the research object on the experimental branch, the stability of its outlet temperature is crucial to the consistency, repeatability and safety of the experiment. However, a wide range of stable experimental data points need to be obtained during the experiment. Therefore, it is necessary to obtain stable experimental data points for the flow rates of different experimental branches and the outlet fluid temperatures of different experimental bodies. During the switching of working conditions, it is necessary to adjust the flow rate of the experimental branch and the outlet fluid temperature of the experimental body. The experimental body is a heating structure. When the heating power is fixed, a slight change in the flow rate will be directly reflected in the outlet temperature. This is because the heat capacity and heat transfer coefficient of the fluid will change with the flow rate, forming a nonlinear response relationship. Therefore, this nonlinear characteristic brings difficulties to the controller when adjusting the flow rate of the experimental branch and synchronously adjusting the heating power of the body to achieve coupled adjustment of the outlet fluid temperature of the experimental body, especially in situations where fast response and high-precision control are required.

[0004] The heat dissipation effect further exacerbates the control problem, because the system not only needs to fight against the heat exchange of the external environment, but also ensure the internal thermal balance, which requires the controller to compensate for the temperature fluctuations caused by heat dissipation in real time. Traditional control methods often have difficulty in accurately predicting and compensating for these dynamic changes, making it difficult for experimental conditions to stabilize at the set value, limiting the accuracy and efficiency of the experiment.

[0005] In view of the above challenges, existing technologies have limitations in achieving coupled control of temperature and flow in thermal hydraulic experimental systems. Therefore, it is urgent to develop a coupled control method of temperature and flow in the branch of a thermal hydraulic experimental system to achieve efficient and accurate control of the outlet temperature of the main body when adjusting the flow of the experimental branch, thereby overcoming the shortcomings of traditional methods and improving the reliability and efficiency of experimental research. Summary of the invention

[0006] The technical problem to be solved by the present invention is the lack of a method that can efficiently and accurately control the outlet temperature of the main body when adjusting the flow of the experimental branch, resulting in poor experimental reliability and efficiency. The purpose is to provide a method and system for coupling control of branch temperature and flow of a thermal-hydraulic experimental system, which solves the problem of poor experimental reliability and efficiency.

[0007] The present invention is achieved through the following technical solutions:

[0008] The coupling control method of branch temperature and flow rate of thermal hydraulic experimental system includes:

[0009] Collecting historical data of the thermal hydraulic experiment system, wherein the historical data includes ambient temperature, heating power, experiment body inlet flow, experiment body inlet fluid temperature, experiment body outlet fluid temperature and experiment body inlet and outlet fluid average pressure;

[0010] According to the average pressure of the fluid inlet and outlet of the experimental body, the constant-pressure specific heat capacity of the working fluid is obtained through the working fluid physical property function;

[0011] The heating power coefficient is calculated according to the heating power, the inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body, the outlet fluid temperature of the experimental body and the constant pressure specific heat capacity of the working fluid;

[0012] The heating power coefficient prediction model to be trained is trained by using the ambient temperature, the experimental body inlet flow rate, the experimental body inlet fluid temperature, the experimental body outlet fluid temperature and the heating power coefficient to obtain a trained heating power coefficient prediction model;

[0013] The real-time ambient temperature, the experimental body inlet flow rate, the experimental body inlet fluid temperature and the experimental body outlet fluid temperature target value are used as input parameters of the heating power coefficient prediction model to predict the heating power coefficient prediction value;

[0014] The heating power feedforward value is calculated based on the predicted heating power coefficient, the target value of the test body outlet fluid temperature, the real-time test body inlet flow, the test body inlet fluid temperature and the constant pressure specific heat capacity of the working fluid;

[0015] According to the deviation between the target value of the outlet fluid temperature of the main body and the outlet fluid temperature of the main body, the PID control algorithm is adopted to obtain the heating power feedback adjustment value;

[0016] The heating power feedforward value and the heating power feedback value are added to obtain the body heating power value. The body heating power value is used as the target value to adjust the experimental body heating power, thereby achieving control of the fluid temperature at the outlet of the experimental body.

[0017] As a possible design, in the above heating power coefficient prediction model, the ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature, and the experimental body outlet fluid temperature are used as input parameters, and the heating power coefficient is the output result.

[0018] As a possible design, the above heating power coefficient prediction model adopts an artificial neural network algorithm or a convolutional neural algorithm.

[0019] As a possible design, the above heating power coefficient is calculated by the following formula:

[0020] α=P / (F in ·(T out -T in )·c p )

[0021] In the formula,

[0022] α: heating power coefficient;

[0023] P: heating power;

[0024] F in : Experimental body inlet flow;

[0025] T in : Experimental body inlet fluid temperature;

[0026] T out : The outlet fluid temperature of the experimental body;

[0027] c p : Specific heat capacity of working fluid at constant pressure.

[0028] As a possible design, the above heating power feedforward value is calculated by the following formula:

[0029] P ff =α ff ·F in ·(T out,s -T in )·c p

[0030] In the formula,

[0031] P ff : Heating power feedforward value;

[0032] α ff : Prediction value of heating power coefficient;

[0033] F in : Experimental body inlet flow;

[0034] T out,s : Target value of body outlet temperature;

[0035] T in : Experimental body inlet fluid temperature;

[0036] c p : Specific heat capacity of working fluid at constant pressure.

[0037] As a possible design, the above-mentioned control of the outlet fluid temperature of the experimental body is achieved by adjusting the experimental body heating power by taking the body heating power value as the target value. Specifically, it means adjusting the voltage and current of the experimental body to make the actual heating power value consistent with the body heating power value.

[0038] The present invention also provides a coupling control system for branch temperature and flow of a thermal hydraulic experiment system, which is applied to the thermal hydraulic experiment system, including:

[0039] The first parameter acquisition module is used to acquire historical data of the thermal hydraulic experiment system, the historical data including ambient temperature, heating power, experiment body inlet flow, experiment body inlet fluid temperature, experiment body outlet fluid temperature and experiment body inlet and outlet fluid average pressure;

[0040] The first calculation module is used to obtain the constant-pressure specific heat capacity of the working fluid through the working fluid physical property function according to the average pressure of the fluid at the inlet and outlet of the experimental body;

[0041] The second calculation module is used to calculate the heating power coefficient according to the heating power, the inlet flow rate of the experimental body, the inlet temperature of the experimental body, the outlet temperature of the experimental body and the constant pressure specific heat capacity of the working fluid;

[0042] A model training module is used to use the ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature, and the experimental body outlet fluid temperature as inputs, and the heating power coefficient as output to train the heating power coefficient prediction model, and obtain a trained heating power coefficient prediction model;

[0043] The second parameter acquisition module is used to obtain the real-time ambient temperature of the thermal hydraulic experiment system, the experiment body inlet flow, the experiment body inlet fluid temperature, the experiment body outlet fluid temperature and the experiment body inlet and outlet fluid average pressure;

[0044] The prediction module inputs the real-time ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature and the experimental body outlet fluid temperature target value into the heating power coefficient prediction model to predict the heating power coefficient;

[0045] The third calculation module calculates the heating power feedforward value through the predicted value of the heating power coefficient, the target value of the outlet fluid temperature of the experimental body, and the inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body, and the constant-pressure specific heat capacity of the working fluid in the predicted sample;

[0046] The third parameter acquisition module acquires the outlet fluid temperature of the experiment body in real time;

[0047] The fourth calculation module calculates a target difference value by using the outlet fluid temperature of the experimental body and the target value of the outlet fluid temperature of the experimental body, and inputs the target difference value into the PID controller to obtain a heating power feedback adjustment value;

[0048] A fifth calculation module, obtaining a main body heating power value by adding the heating power feedforward value and the heating power feedback value;

[0049] The control module is connected to the thermal hydraulic experiment system and adjusts the outlet fluid temperature of the experiment body according to the body heating power value.

[0050] The present invention also provides a host device, comprising

[0051] Memory for storing computer programs;

[0052] The processor is used to implement the coupling control method of branch temperature and flow of the thermal hydraulic experiment system when executing the computer program.

[0053] The present invention also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of a method for coupling control of branch temperature and flow in a thermal hydraulic experimental system.

[0054] The present invention also provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are loaded and executed by a processor, a coupling control method for branch temperature and flow of a thermal hydraulic experiment system is implemented.

[0055] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0056] The present invention obtains the constant-pressure specific heat capacity of the working fluid through the average pressure of the inlet and outlet fluids of the experimental body and the physical property function of the working fluid, obtains the heating power coefficient through the heating power, the inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body, the outlet fluid temperature of the experimental body and the constant-pressure specific heat capacity of the working fluid, and trains the heating power coefficient prediction model with the ambient temperature, the inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body, the outlet fluid temperature of the experimental body and the heating power coefficient, and then combines the real-time data to predict the heating power coefficient prediction value, and calculates the heating power feedforward value according to the predicted heating power coefficient prediction value, the outlet fluid temperature target value of the experimental body, the real-time inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body and the constant-pressure specific heat capacity of the working fluid, and according to the deviation between the outlet fluid temperature target value of the body and the outlet fluid temperature of the body, adopts an ordinary PID controller to obtain the heating power feedback adjustment value, adds the heating power feedforward value and the heating power feedback value to obtain the body heating power value, and adjusts the heating power through the body heating power feedforward value to realize the control of the outlet fluid temperature of the experimental body. It solves the problem that the outlet fluid temperature of the experimental body changes with the inlet flow of the experimental body, the flow adjustment of the experimental branch or the environmental changes during the thermal-hydraulic experiment, and the complex problem of automatic adjustment of the outlet fluid temperature of the experimental body. It efficiently and accurately controls the outlet fluid temperature of the experimental body and improves the reliability and efficiency of experimental research.

[0057] The present invention meets the need for adjusting the flow rate and temperature of the branch of the thermal hydraulic experiment system under different working conditions in the thermal hydraulic experiment research. The control method of the present invention can automatically control the outlet fluid temperature of the experimental body under the coupled flow adjustment under different flow rates and different experimental body outlet fluid temperature conditions during the test. The present invention has the advantages of simple structure and convenient operation, and can fully meet the requirements for coupled control of the temperature and flow rate of the branch of the thermal hydraulic experiment system during the thermal hydraulic experiment.

[0058] In the calculation of the heating power feedforward value of the present invention, environmental changes and other nonlinear influencing factors that are not directly considered are taken into account in the heating power coefficient obtained through training. By obtaining the predicted value of the heating power coefficient, combined with the target value of the experimental body outlet fluid temperature, the real-time experimental body inlet flow, the experimental body inlet fluid temperature, and the constant-pressure specific heat capacity of the working fluid, a more accurate heating power feedforward value can be obtained. At the same time, in the calculation of the heating power feedforward value, the linear influence of the experimental body inlet flow on the heating power feedforward value is taken into account, and the coupled regulation of the experimental body outlet temperature when the experimental body inlet flow changes rapidly can be achieved. The heating power feedback value realizes the precise control of the small deviation between the experimental body outlet temperature value and the experimental body outlet temperature target value. Overall, the precise control of the experimental body outlet fluid temperature and the experimental body inlet flow can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without creative work. In the drawings:

[0060] Figure 1 A schematic diagram of a thermal hydraulic experiment system circuit adapted to the coupling control method of the branch temperature and flow of the thermal hydraulic experiment system of the present invention;

[0061] Figure 2 It is a coupling control principle diagram of the coupling control method of the branch temperature and flow rate of the thermal hydraulic experiment system of the present invention;

[0062] Figure 3 This is a training diagram of the heating power coefficient prediction model of the present invention.

[0063] Marks and corresponding parts names in the attached drawings:

[0064] 1-pressure regulator; 2-main circulation pump; 3-experimental branch flow regulating valve; 4-experimental body; 5-experimental main circuit flow regulating valve; 6-mixer; 7-heat exchanger. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with examples and drawings. The illustrative embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention. If specific conditions are not specified in the examples, they are carried out according to conventional conditions or conditions recommended by the manufacturer. If the manufacturer is not specified for the reagents or instruments used, they are all conventional products that can be purchased commercially.

[0066] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0067] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0068] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0069] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0070] A person of ordinary skill in the art can understand that all or part of the steps in realizing the above-mentioned facts and methods can be completed by instructing the relevant hardware through a program, and the program involved or the program described can be stored in a computer-readable storage medium. When the program is executed, it includes the following steps: At this time, the corresponding method steps are derived, and the storage medium can be ROM / RAM, a disk, an optical disk, etc.

[0071] Since changes in the flow rate and environment of the branch in the thermal hydraulic experimental system will cause changes in the outlet temperature of the experimental body, it is difficult to achieve high-precision control and rapid response to the outlet temperature of the experimental body, which limits the accuracy and efficiency of the experiment. The present invention provides a coupling control method for the branch temperature and flow of a thermal hydraulic experimental system to solve the above problems, and efficiently and accurately control the outlet temperature of the experimental body, thereby improving the reliability and efficiency of experimental research.

[0072] Reference Figure 1 , Figure 1The thermal-hydraulic experimental system is only an example, and the coupling control method of the present invention is applicable to any thermal-hydraulic experimental system.

[0073] First, refer to Figure 2-3 The present invention provides a coupling control method for branch temperature and flow of a thermal hydraulic experimental system, comprising:

[0074] S1. Collect historical data of the thermal hydraulic experiment system, wherein the historical data includes ambient temperature, heating power, experiment body inlet flow, experiment body inlet fluid temperature, experiment body outlet fluid temperature and experiment body inlet and outlet fluid average pressure.

[0075] The inventors have found that in thermal hydraulic experimental research, in order to obtain experimental data at a stable operating point, researchers usually need to continuously adjust the flow rate and heating power of the experimental branch to make the outlet temperature of the experimental body reach the target value; and one experiment usually needs to study different working conditions, and the heating power span of the experimental branch is large and has nonlinear characteristics. By using the ambient temperature, heating power, experimental body inlet flow rate, experimental body inlet fluid temperature, experimental body outlet fluid temperature and experimental body inlet and outlet fluid average pressure as the basic data for artificial intelligence-based heating power coefficient prediction, using an artificial intelligence-based method to predict the heating power coefficient, it is possible to obtain a heating power coefficient with high accuracy compared to the actual result, and to achieve the prediction and adjustment of the experimental body outlet fluid temperature.

[0076] S2. According to the average pressure of the inlet and outlet fluids of the experimental body, the constant-pressure specific heat capacity of the working fluid is obtained through the working fluid physical property function.

[0077] Preferably, the above working fluid physical property function adopts IAPWS-IF97 physical property function.

[0078] S3. Calculate the heating power coefficient according to the heating power, the inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body, the outlet fluid temperature of the experimental body and the constant-pressure specific heat capacity of the working fluid.

[0079] In some embodiments of the present invention, the above heating power coefficient is calculated by the following formula:

[0080] α=P / (F in ·(T out -T in )·c p )

[0081] In the formula,

[0082] α: heating power coefficient;

[0083] P: heating power;

[0084] F in: Experimental body inlet flow;

[0085] T in : Experimental body inlet fluid temperature;

[0086] T out : The outlet fluid temperature of the experimental body;

[0087] c p : Specific heat capacity of working fluid at constant pressure.

[0088] S4. Use the ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature, the experimental body outlet fluid temperature and the heating power coefficient to train the heating power coefficient prediction model to be trained, and obtain a trained heating power coefficient prediction model.

[0089] In some embodiments of the present invention, the heating power coefficient prediction model adopts an artificial neural network algorithm or a convolutional neural algorithm.

[0090] Artificial neural network algorithms or convolutional neural algorithms have significant advantages in processing nonlinear relationships and complex data patterns, and are suitable for the multivariable, nonlinear coupled control characteristics of thermal hydraulic experimental systems. First, artificial neural networks (ANN) and convolutional neural networks (CNN) can learn and simulate such complex nonlinear relationships through weighted connections of multi-layer nodes and nonlinear activation functions, which enables them to more accurately predict the heating power coefficient under different input conditions, thereby improving control accuracy; second, they can automatically adjust weights through training to achieve self-adaptation to system changes. With the accumulation of historical data, the model can be continuously optimized through retraining to adapt to changes in system parameters or new operating conditions, ensuring continuous optimization of the control effect; third, convolutional neural networks perform well in processing image data. Although images are not directly processed here, their local connections and weight sharing mechanisms are also applicable to processing data with spatial or time series characteristics, such as changes in the inlet flow of the experimental body over time, which helps the model extract key features from the input data, reduce redundant information, and improve prediction efficiency; fourth, through sufficient training, the neural network model can generalize to unseen data, which means that even in the face of slight changes in experimental conditions, the model can provide reliable predictions, which is crucial to maintaining the stability of the experimental system and control accuracy; fifth, the structure of neural networks, especially CNN, is suitable for parallel computing, which can significantly improve computing efficiency when processing large amounts of data. For real-time control systems, fast response is the key.

[0091] In some embodiments of the present invention, in the above-mentioned heating power coefficient prediction model, ambient temperature, experimental body inlet flow, experimental body inlet fluid temperature, and experimental body outlet fluid temperature are used as input parameters, and the heating power coefficient is the output result.

[0092] S5. Using the real-time ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature and the experimental body outlet fluid temperature target value as input parameters of the heating power coefficient prediction model to predict the heating power coefficient prediction value.

[0093] S6. The heating power feedforward value is calculated based on the predicted heating power coefficient, the target value of the experimental body outlet fluid temperature, the real-time experimental body inlet flow, the experimental body inlet fluid temperature and the constant-pressure specific heat capacity of the working fluid.

[0094] In some embodiments of the present invention, the heating power feedforward value is calculated by the following formula:

[0095] P ff =α ff ·F in ·(T out,s -T in )·c p

[0096] In the formula,

[0097] P ff : Heating power feedforward value;

[0098] α ff : Prediction value of heating power coefficient;

[0099] F in : Experimental body inlet flow;

[0100] T out,s : Target value of body outlet temperature;

[0101] T in : Experimental body inlet fluid temperature;

[0102] c p : Specific heat capacity of working fluid at constant pressure.

[0103] S7. According to the deviation between the target value of the outlet fluid temperature of the main body and the outlet fluid temperature of the main body, a PID control algorithm is used to obtain a heating power feedback adjustment value.

[0104] S8. Add the heating power feedforward value and the heating power feedback value to obtain the body heating power value, and adjust the experimental body heating power by taking the body heating power value as the target value to control the fluid temperature at the outlet of the experimental body.

[0105] The present invention can realize automatic control of the outlet temperature of the experimental body under coupled flow adjustment by automatic control means according to different flow rates and different experimental body outlet fluid temperature working conditions.

[0106] In some embodiments of the present invention, the above-mentioned control of the outlet fluid temperature of the experimental body is achieved by adjusting the experimental body heating power by taking the body heating power value as the target value, specifically referring to adjusting the voltage and current of the experimental body so that the actual heating power value is consistent with the body heating power value.

[0107] In a second aspect, the present invention provides a coupled control system for branch temperature and flow of a thermal hydraulic experiment system, which is applied to a thermal hydraulic experiment system, comprising:

[0108] The first parameter acquisition module is used to acquire historical data of the thermal hydraulic experiment system, the historical data including ambient temperature, heating power, experiment body inlet flow, experiment body inlet fluid temperature, experiment body outlet fluid temperature and experiment body inlet and outlet fluid average pressure;

[0109] The first calculation module is used to obtain the constant-pressure specific heat capacity of the working fluid through the working fluid physical property function according to the average pressure of the fluid at the inlet and outlet of the experimental body;

[0110] The second calculation module is used to calculate the heating power coefficient according to the heating power, the inlet flow rate of the experimental body, the inlet temperature of the experimental body, the outlet temperature of the experimental body and the constant pressure specific heat capacity of the working fluid;

[0111] A model training module is used to use the adopted ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature, and the experimental body outlet fluid temperature as inputs, and use the heating power coefficient as output to train the heating power coefficient prediction model to obtain a trained heating power coefficient prediction model;

[0112] The second parameter acquisition module is used to obtain the real-time ambient temperature of the thermal hydraulic experiment system, the experiment body inlet flow, the experiment body inlet fluid temperature, the experiment body outlet fluid temperature and the experiment body inlet and outlet fluid average pressure;

[0113] The prediction module inputs the real-time ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature and the experimental body outlet fluid temperature target value into the heating power coefficient prediction model to predict the heating power coefficient;

[0114] The third calculation module calculates the heating power feedforward value through the predicted value of the heating power coefficient, the target value of the outlet fluid temperature of the experimental body, and the inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body, and the constant-pressure specific heat capacity of the working fluid in the predicted sample;

[0115] The third parameter acquisition module acquires the outlet fluid temperature of the experiment body in real time;

[0116] A fourth calculation module, which calculates a target difference value by using the experimental body outlet fluid temperature and the experimental body outlet fluid temperature target value, and inputs the target difference value into the PID controller of the fourth calculation module to obtain a heating power feedback adjustment value;

[0117] A fifth calculation module, obtaining a main body heating power value by adding the heating power feedforward value and the heating power feedback value;

[0118] The control module is connected to the thermal hydraulic experiment system and adjusts the outlet fluid temperature of the experiment body according to the body heating power value.

[0119] Preferably, a temperature measuring point and a flow measuring point are set on the inlet pipe of the experimental body of the thermal hydraulic experimental system, a temperature measuring point is set on the outlet pipe of the experimental body, and a heating power measuring point is set on the experimental body to accumulate historical data and real-time data.

[0120] Preferably, the above-mentioned control module includes a heating power controller to realize the control of the heating power.

[0121] In a third aspect, the present invention provides a host device, comprising

[0122] Memory for storing computer programs;

[0123] The processor is used to implement the above-mentioned method for coupling control of branch temperature and flow of the thermal hydraulic experimental system when executing the computer program.

[0124] In a fourth aspect, the present invention provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the above-mentioned method for coupling control of branch temperature and flow of a thermal-hydraulic experimental system.

[0125] In a fifth aspect, the present invention provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are loaded and executed by a processor, the coupling control method of branch temperature and flow of the above-mentioned thermal-hydraulic experimental system is implemented.

[0126] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A coupling control method for branch temperature and flow of a thermal hydraulic experiment system, characterized in that: include Collecting historical data of the thermal hydraulic experiment system, wherein the historical data includes ambient temperature, heating power, experiment body inlet flow, experiment body inlet fluid temperature, experiment body outlet fluid temperature and experiment body inlet and outlet fluid average pressure; According to the average pressure of the fluid inlet and outlet of the experimental body, the constant-pressure specific heat capacity of the working fluid is obtained through the working fluid physical property function; The heating power coefficient is calculated according to the heating power, the inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body, the outlet fluid temperature of the experimental body and the constant pressure specific heat capacity of the working fluid; The heating power coefficient prediction model to be trained is trained by using the ambient temperature, the experimental body inlet flow rate, the experimental body inlet fluid temperature, the experimental body outlet fluid temperature and the heating power coefficient to obtain a trained heating power coefficient prediction model; The real-time ambient temperature, the experimental body inlet flow rate, the experimental body inlet fluid temperature and the experimental body outlet fluid temperature are used as input parameters of the heating power coefficient prediction model to predict the heating power coefficient prediction value; The heating power feedforward value is calculated based on the predicted heating power coefficient, the target value of the outlet fluid temperature of the experimental body, the real-time inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body and the constant-pressure specific heat capacity of the working fluid; According to the deviation between the target value of the outlet fluid temperature of the main body and the outlet fluid temperature of the main body, the PID control algorithm is adopted to obtain the feedback adjustment value of the heating power; The heating power feedforward value and the heating power feedback value are added to obtain the body heating power value. The body heating power value is used as the target value to adjust the experimental body heating power, thereby achieving control of the fluid temperature at the outlet of the experimental body.

2. The coupling control method of branch temperature and flow rate of thermal hydraulic experiment system according to claim 1 is characterized in that: In the heating power coefficient prediction model, the ambient temperature, the experimental body inlet flow rate, the experimental body inlet fluid temperature, and the experimental body outlet fluid temperature are used as input parameters, and the heating power coefficient is the output result.

3. The coupling control method of branch temperature and flow rate of thermal hydraulic experiment system according to claim 1 is characterized in that: The heating power coefficient prediction model adopts an artificial neural network algorithm or a convolutional neural algorithm.

4. The coupling control method of branch temperature and flow rate of thermal hydraulic experiment system according to claim 1 is characterized in that: The heating power coefficient is calculated by the following formula: α=P / (F in ·(T out -T in )·c p ) In the formula, α: heating power coefficient; P: heating power; F in : Experimental body inlet flow; T in : Experimental body inlet fluid temperature; T out : The outlet fluid temperature of the experimental body; c p : Specific heat capacity of working fluid at constant pressure.

5. The coupling control method of branch temperature and flow rate of thermal hydraulic experiment system according to claim 1 is characterized in that: The heating power feedforward value is calculated by the following formula: P ff =α ff ·F in ·(T out,s -T in )·c p In the formula, P ff : Heating power feedforward value; α ff : Prediction value of heating power coefficient; F in : Experimental body inlet flow; T out,s : Target value of body outlet temperature; T in : Experimental body inlet fluid temperature; c p : Specific heat capacity of working fluid at constant pressure.

6. The coupling control method of branch temperature and flow rate of thermal hydraulic experiment system according to claim 1 is characterized in that: The adjusting the heating power of the experimental body specifically refers to adjusting the voltage and current of the experimental body so that the actual heating power value is consistent with the body heating power value.

7. A coupling control system for branch temperature and flow of a thermal hydraulic experiment system, characterized in that: Applied to thermal hydraulic experimental system, including The first parameter acquisition module is used to acquire historical data of the thermal hydraulic experiment system, the historical data including ambient temperature, heating power, experiment body inlet flow, experiment body inlet fluid temperature, experiment body outlet fluid temperature and experiment body inlet and outlet fluid average pressure; The first calculation module is used to obtain the constant-pressure specific heat capacity of the working fluid through the working fluid physical property function according to the average pressure of the fluid at the inlet and outlet of the experimental body; The second calculation module is used to calculate the heating power coefficient according to the heating power, the inlet flow rate of the experimental body, the inlet temperature of the experimental body, the outlet temperature of the experimental body and the constant pressure specific heat capacity of the working fluid; A model training module is used to use the ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature, and the experimental body outlet fluid temperature as inputs, and the heating power coefficient as output to train the heating power coefficient prediction model, and obtain a trained heating power coefficient prediction model; The second parameter acquisition module is used to obtain the real-time ambient temperature of the thermal hydraulic experiment system, the experiment body inlet flow, the experiment body inlet fluid temperature, the experiment body outlet fluid temperature and the experiment body inlet and outlet fluid average pressure; The prediction module inputs the real-time ambient temperature, the experimental body inlet flow, the experimental body inlet fluid temperature and the experimental body outlet fluid temperature target value into the heating power coefficient prediction model to predict the heating power coefficient; The third calculation module calculates the heating power feedforward value through the predicted value of the heating power coefficient, the target value of the outlet fluid temperature of the experimental body, and the inlet flow rate of the experimental body, the inlet fluid temperature of the experimental body, and the constant-pressure specific heat capacity of the working fluid in the predicted sample; The third parameter acquisition module acquires the outlet fluid temperature of the experiment body in real time; The fourth calculation module calculates a target difference value by using the test body outlet fluid temperature and the test body outlet fluid temperature standard value, and inputs the target difference value into the PID controller to obtain a heating power feedback adjustment value; A fifth calculation module, obtaining a main body heating power value by adding the heating power feedforward value and the heating power feedback value; The control module is connected to the thermal hydraulic experiment system and adjusts the outlet fluid temperature of the experiment body according to the body heating power value.

8. A host device, characterized in that: include Memory for storing computer programs; A processor is used to implement the coupled control method of branch temperature and flow of a thermal hydraulic experimental system as described in any one of claims 1 to 6 when executing the computer program.

9. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method for coupling control of branch temperature and flow rate of a thermal hydraulic experimental system as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are loaded and executed by the processor, the method for coupling control of branch temperature and flow of a thermal-hydraulic experimental system as described in any one of claims 1 to 6 is implemented.

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