Low-temperature system thermal load operation training system and data interaction method thereof

Abstract

The invention relates to the field of system simulation, in particular to an operation training system for a thermal load of a low-temperature system and a data interaction method thereof, which comprise a simulation model for the thermal load of the low-temperature system, a control system model for the thermal load of the low-temperature system and a method for performing data interaction between the simulation model and the control system model. The operation training system for the thermal load of the low-temperature system can know the thermodynamic performance of the thermal load of the low-temperature system in advance, simulate the dynamic thermal load of the thermal load of the low-temperature system, perform control program pre-verification, debug the main control logic of the thermal load of the low-temperature system, and perform performance pre-estimation of the thermal load of the low-temperature system in different working modes.

Description

Technical Field

[0001] The present invention relates to the field of system simulation, and in particular to an operation training system for thermal load of a cryogenic system and a data interaction method thereof. Background Art

[0002] With the development of science and technology, large cryogenic systems have been widely used in cutting-edge fields such as nuclear fusion, high-energy physics and superconducting systems, such as the Large Hadron Collider (LHC) of CERN, the International Thermonuclear Experimental Reactor (ITER) and the National Advanced Nuclear Fusion Experimental Device Superconducting Tokamak (EAST). At present, more than half of my country's large scientific facilities require the support of cryogenic technology, and eight systems under construction or in pre-research need to be equipped with large superfluid helium cryogenic systems.

[0003] In a helium refrigerator, the load is downstream of the refrigerator. The dynamic heat load of the load will cause a certain thermal shock to the refrigerator. In order to reduce the thermal shock of the heat load on the refrigerator, it is necessary to perform a dynamic simulation of the heat load of the cryogenic system.

[0004] For small helium refrigerators, the cooling capacity required by users is mainly in the liquid helium temperature zone, and the cooling capacity is relatively small. Therefore, it is only necessary to place a heater model equivalent to the set cooling capacity in the liquid helium dewar, or to place a heater model at the end of the refrigerator to simulate the heat load of the low-temperature system.

[0005] However, for large-scale superfluid helium cryogenic systems, users require more working temperature zones, generally including 2K / 4K temperature zone heat load, 4.5-75K temperature zone heat load, and 50-75K temperature zone heat load. Generally speaking, 2K / 4K temperature zone heat load mainly refers to the pre-cooling conditions, operating conditions, quench conditions and other non-steady-state conditions of superconducting cavities, superconducting magnets, superconducting solenoids and other components in the refrigerator load in the 2K / 4K temperature zone; 4.5-75K temperature zone heat load mainly refers to the pre-cooling conditions, operating conditions, quench conditions and other non-steady-state conditions of couplers and other components in the refrigerator load in the corresponding temperature zone; 50-75K temperature zone heat load mainly refers to various conditions of cold shields, current leads and other components in the refrigerator load.

[0006] Dynamic simulation of the low temperature system heat load can simulate the dynamic heat load under different working modes and variable working conditions, reduce the thermal shock to the refrigerator, and provide key guidance for the design of the refrigerator and the low temperature distribution system. In order to accurately simulate the working conditions of the low temperature system heat load under actual working conditions, when performing the dynamic simulation of the low temperature system heat load, it is necessary to load the loads of each temperature zone separately and simultaneously to ensure the versatility of the low temperature system heat load simulation model.

[0007] The OTS (Operation Training System) operation training system combines dynamic simulation and measurement and control system development technology to develop a front-end user operation interface, which is convenient for understanding the characteristics of the entire system and conducting operation training for staff before the system is put into operation.

[0008] Developing and utilizing an operator training system to train operators can avoid putting actual equipment in a dangerous situation. The operator training system can be run in certain special working conditions without worrying about serious consequences. For operators, they cannot distinguish whether they are facing a real system or a simulated system when facing the HMI human-machine interface. Summary of the invention

[0009] The embodiment of the present invention provides an operation training system for a low temperature system heat load and a data interaction method thereof, so as to at least solve the technical problem that the existing low temperature system heat load operation regulation simulation effect is poor.

[0010] According to an embodiment of the present invention, a low temperature system heat load operation training system is provided, including a simulation model and a control system model; wherein:

[0011] The simulation model is used to understand the thermodynamic performance of the cryogenic system heat load in advance, simulate the dynamic heat load of the cryogenic system heat load, and pre-verify the control program;

[0012] The control system model is the main body of the control logic;

[0013] The operation training system is used to debug the main control logic of the cryogenic system heat load and to estimate the performance of the cryogenic system heat load under different working modes.

[0014] Furthermore, the operation training system is also used to provide a reference for the actual operation adjustment of the low temperature system heat load and to train operators.

[0015] Furthermore, when establishing a simulation model of the thermal load of the cryogenic system, a component model of the thermal load of the cryogenic system is developed as required; and a current lead model is developed by a user according to user definition.

[0016] Furthermore, a simulation model of the thermal load of the low-temperature system is established based on the dynamic simulation software EcosimPro and compiled.

[0017] Furthermore, when establishing a simulation model of the thermal load of a low-temperature system, the internal variables simulation time time and error information error are respectively encapsulated into usable components; the internal variable simulation time time is encapsulated into a simulation time component; the internal variable error information error is encapsulated into an error information component; the simulation time component output is the simulation time value of the system, the variable type is real, and the analog output; the error information component output is the error information value of the system, the variable type is real, and the analog output.

[0018] Furthermore, the simulation time component and the error information component are placed in the same screen as the main loop model of the low temperature system heat load simulation model.

[0019] Furthermore, after the simulation model is compiled, a partition is generated. After the partition is successfully validated, a special experiment needs to be established, and the EL language code needs to be written in the experiment; the experiment is compiled and run.

[0020] Furthermore, a deck platform is generated based on the EL experiment code: first, the input and output variables are defined. The input variables are the variables controlled by the third-party software, and the output variables are the various process values ​​calculated by the simulation model.

[0021] Furthermore, the input variables are: the start signal of each heat load, the heating power of each heat load, the PID automatic start of each heat load, the incoming flow temperature, pressure, and flow rate on the high-pressure side, the return flow temperature, pressure, and flow rate on the low-pressure side; the heat load regulating valve signal, and the heat load switch valve signal;

[0022] The output variables are: simulation time time, error information error; temperature, pressure, flow before and after each heat load, heating power of each heat load; opening of the heat load regulating valve, temperature, pressure, flow before and after the regulating valve; opening of the heat load switch valve, temperature, pressure, flow before and after the switch valve.

[0023] According to another embodiment of the present invention, a data interaction method of an operation training system using the above-mentioned low temperature system heat load is provided, comprising:

[0024] Using the deck platform, the simulation model is packaged into a compilable C++ file; using the C++ program, the compilable C++ file is compiled into an executable file, the simulation model is run, and the running results are stored in the SQL database;

[0025] The PLC-based control system obtains the input and output data of the low-temperature system heat load simulation model in the SQL database and interacts with the simulation model.

[0026] The operation training system of the cryogenic system heat load in the embodiment of the present invention and the data interaction method thereof include a simulation model of the cryogenic system heat load, a control system model of the cryogenic system heat load, and a method for data interaction between the simulation model and the control system model. The operation training system of the cryogenic system heat load can understand the thermodynamic properties of the cryogenic system heat load in advance, simulate the dynamic heat load of the cryogenic system heat load, perform control program pre-verification, debug the main control logic of the cryogenic system heat load, and perform performance estimation of the cryogenic system heat load under different working modes. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0028] Figure 1 is a schematic flow chart of an operational training system for a cryogenic system heat load in one embodiment;

[0029] Figure 2 is a technical architecture diagram of an operator training system for a cryogenic system heat load applicable to one embodiment;

[0030] Figure 3 is a block diagram of a cryogenic system heat load suitable for use in one embodiment;

[0031] Figure 4 A technical roadmap for an operational training system for a cryogenic system heat load is provided in one embodiment. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0034] The present invention discloses an operation training system for a cryogenic system heat load and a data interaction method thereof, including a simulation model of a cryogenic system heat load, a control system model of a cryogenic system heat load, and a method for data interaction between the simulation model and the control system model. The operation training system for a cryogenic system heat load can understand the thermodynamic properties of the cryogenic system heat load in advance, simulate the dynamic heat load of the cryogenic system heat load, perform control program pre-verification, debug the main control logic of the cryogenic system heat load, and perform performance estimation of the cryogenic system heat load under different working modes. It provides a reference basis for the actual operation adjustment of the cryogenic system heat load and trains operators.

[0035] See also Figure 1-Figure 4 , the present invention adopts the following specific technical solutions:

[0036] A low temperature system heat load, the present invention is applicable to the following low temperature system heat loads, which are respectively described by examples.

[0037] 1. User heat load of small helium refrigerator

[0038] like Figure 3 The figure shows the user heat load of a small helium refrigerator. The cooling capacity required by the user is mainly in the liquid helium temperature range, and the cooling capacity is small. Placing a heater model at the end of the refrigerator can simulate the heat load of the cryogenic system.

[0039] In this case, different heating modes of the heater can be simulated, such as increasing the heating power in a ramp manner, in a step manner, using a sine wave, a cosine wave, or in a step pulse manner. You can also write the source code in a programming language according to the actual situation of the user's load, encapsulate the heater model into a custom load model, and then perform dynamic simulation.

[0040] Set the boundary conditions of high pressure inflow and low pressure return flow to perform dynamic simulation of low temperature system heat load. Debug the dynamic heat load of low temperature system heat load.

[0041] 2. Superconducting cavity, superconducting magnet, superconducting solenoid, coupler and other low temperature system heat load

[0042] There are no ready-made component models for the heat loads of cryogenic systems such as superconducting cavities, superconducting magnets, superconducting solenoids, and couplers in the cryogenic component library Cryolib of the dynamic simulation software EcosimPro, so user-defined development is required. After the model is developed, the model validity is verified.

[0043] After the component model is developed, dynamic simulation is performed based on different working modes, such as pre-cooling conditions, operating conditions, quench conditions and other non-steady-state conditions.

[0044] 3. Thermal loads of low temperature systems such as cold screens and current leads

[0045] The cold screen is the heat load of the low-temperature system, including liquid nitrogen cold screen and other temperature zone cold screens. In the low-temperature component library Cryolib of the dynamic simulation software EcosimPro, you can select the electric heater model to simulate the dynamic heat load of the cold screen.

[0046] The current lead is the heat load of the cryogenic system. There is no ready-made component model in the cryogenic component library Cryolib based on the dynamic simulation software EcosimPro, so user-defined development is required. After the model is developed, the model validity needs to be verified.

[0047] After the component model is developed, dynamic simulation is performed based on different working modes, such as pre-cooling conditions, operating conditions, quench conditions and other non-steady-state conditions.

[0048] A dynamic simulation model of the heat load of a cryogenic system is based on the dynamic simulation software EcosimPro. Firstly, a simulation model of the heat load of a cryogenic system is established and compiled.

[0049] When establishing a simulation model of the cryogenic system heat load, the component models of the cryogenic system heat load are developed as needed. For example, models of cryogenic system heat loads such as superconducting cavities, superconducting magnets, superconducting solenoids, couplers, and current leads need to be custom developed by users.

[0050] Dynamic simulation of the low temperature system heat load can simulate the dynamic heat load under different working modes and variable working conditions, reduce the thermal shock to the refrigerator, and provide key guidance for the design of the refrigerator and the low temperature distribution system. In order to accurately simulate the working conditions of the low temperature system heat load under actual working conditions, when performing the dynamic simulation of the low temperature system heat load, it is necessary to load the loads of each temperature zone separately and simultaneously to ensure the versatility of the low temperature system heat load simulation model.

[0051] For the simulation of the thermal load of the low temperature system, the input variables are: the start signal of each thermal load, the heating power of each thermal load, the PID automatic start of each thermal load, the high-pressure side incoming flow temperature, pressure, flow rate (two out of the three), the low-pressure side return flow temperature, pressure, flow rate (two out of the three), the thermal load regulating valve, and the thermal load switch valve signal.

[0052] Output variables are: simulation time time, error message error (optional, if the system has it). Temperature, pressure, flow rate before and after each heat load, heating power of each heat load. Opening of heat load regulating valve, temperature, pressure, flow rate before and after regulating valve. Opening of heat load switch valve, temperature, pressure, flow rate before and after switch valve, etc.

[0053] Optionally, when establishing a simulation model of the heat load of a low temperature system, the internal variables simulation time time and error information error are respectively encapsulated into available components. The internal variable simulation time time is encapsulated into a simulation time component. The internal variable error information error is encapsulated into an error information component. The simulation time component outputs the simulation time value of the system, the variable type is real, and the analog output. The error information component outputs the error information value of the system, the variable type is real, and the analog output.

[0054] The simulation time component and error information component do not need to be connected to the main loop of the low temperature system heat load simulation model. Simply place the simulation time component and error information component and the main loop model of the low temperature system heat load simulation model in the same screen. After the compilation is passed, it can run smoothly.

[0055] After the simulation model is compiled, a partition is generated. After the partition is successfully validated, a special experiment needs to be established and the EL language code is written in the experiment. Compile and run the experiment. Based on this EL experiment code, a deck platform is generated: first, the input and output variables are defined. The input variables are the variables that need to be controlled by the third-party software, and the output variables are the various process values ​​calculated by the simulation model.

[0056] Optionally, the time variable output by the simulation time component and the error variable output by the error information component are defined as output variables.

[0057] There are many more input variables and output variables, which are not listed here one by one.

[0058] One implementation method, see Figure 1 , Figure 2 , Figure 4 , a data interaction method for a low temperature system heat load operation training system includes:

[0059] Using the deck platform, the simulation model is packaged into a compilable C++ file. Using the C++ program, the compilable C++ file is compiled into an executable file, the simulation model is run, and the running results are stored in the SQL database.

[0060] The PLC-based control system obtains the input and output data of the low-temperature system heat load simulation model in the SQL database and interacts with the simulation model.

[0061] In this implementation, the PLC uses a virtual PLC, that is, a PLC simulator. In this implementation, no PLC hardware is used, and the economical efficiency is good.

[0062] The present invention encapsulates the dynamic simulation model of the cryogenic system heat load, and exchanges data between the dynamic simulation model of the cryogenic system heat load and the control system model of the cryogenic system heat load based on the PLC architecture. It can perform dynamic simulation and pre-verification and debugging of the cryogenic system heat load and control system without building an actual cryogenic system heat load, debug the main control logic of the cryogenic system heat load, perform performance estimation under different working modes of the cryogenic system heat load, and simulate the dynamic heat load of the cryogenic system heat load. It provides a reference basis for the actual operation and adjustment of the cryogenic system heat load and trains operators.

[0063] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0064] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0065] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0066] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0067] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0068] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0069] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A low temperature system heat load operation training system, characterized in that: Including simulation model and control system model; among which: The simulation model is used to understand the thermodynamic performance of the cryogenic system heat load in advance, simulate the dynamic heat load of the cryogenic system heat load, and perform control program pre-verification; The control system model is the main body of the control logic; The operation training system is used to debug the main control logic of the low-temperature system heat load and to perform performance estimation under different working modes of the low-temperature system heat load.

2. The low temperature system heat load operation training system according to claim 1, characterized in that: The operation training system is also used to provide a reference basis for the actual operation adjustment of the low temperature system heat load and to train operators.

3. The low temperature system heat load operation training system according to claim 1, characterized in that: When establishing a simulation model of the thermal load of a cryogenic system, a component model of the thermal load of the cryogenic system is developed as needed; and a current lead model is developed by a user according to user needs.

4. The low temperature system heat load operation training system according to claim 1, characterized in that: Based on the dynamic simulation software EcosimPro, a simulation model of the thermal load of the low-temperature system is established and compiled.

5. The low temperature system heat load operation training system according to claim 1, characterized in that: When establishing the simulation model of the low temperature system heat load, the internal variables simulation time time and error information error are respectively encapsulated into available components; The internal variable simulation time time is encapsulated into a simulation time component; the internal variable error information error is encapsulated into an error information component; the simulation time component outputs the simulation time value of the system, the variable type is real, and the analog output; the error information component outputs the error information value of the system, the variable type is real, and the analog output.

6. The low temperature system heat load operation training system according to claim 5, characterized in that: The simulation time component and the error information component are placed in the same screen as the main loop model of the low temperature system heat load simulation model.

7. The low temperature system heat load operation training system according to claim 5, characterized in that: After the simulation model is compiled, a partition is generated. After the partition is successfully validated, a special experiment needs to be established and the EL language code needs to be written in the experiment. Compile and run the experiment.

8. The low temperature system heat load operation training system according to claim 7, characterized in that: Generate a deck platform based on ELexperiment code: First, define the input and output variables. The input variables are the variables controlled by the third-party software, and the output variables are the various process values ​​calculated by the simulation model.

9. The low temperature system heat load operation training system according to claim 8, characterized in that: The input variables are: the start signal of each heat load, the heating power of each heat load, the PID automatic start of each heat load, the incoming flow temperature, pressure, and flow rate on the high-pressure side, and the return flow temperature, pressure, and flow rate on the low-pressure side; Thermal load regulating valve signal, thermal load switching valve signal; The output variables are: simulation time time, error information error; Temperature, pressure, flow rate before and after each heat load, heating power of each heat load; opening of heat load regulating valve, temperature, pressure, flow rate before and after regulating valve; Thermal load switch valve opening, temperature, pressure and flow before and after the switch valve.

10. A data interaction method for the low temperature system heat load operation training system using the low temperature system heat load operation training system according to claim 1, characterized in that: include: Using the deck platform, the simulation model is packaged into a compilable C++ file; Use C++ program to compile the compilable C++ file into an executable file, run the simulation model, and store the running results in the SQL database; The PLC-based control system obtains the input and output data of the low-temperature system heat load simulation model in the SQL database and interacts with the simulation model.

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