Operation training system of low-temperature refrigeration system and data interaction method thereof
By developing an operation training system for cryogenic refrigeration systems, and utilizing simulation models and control system models for dynamic simulation and data interaction, the system solves the problem of poor simulation effects in cryogenic refrigeration systems, enables control logic debugging and performance prediction, and provides a reference and operation training for actual operation.
Patent Information
- Application Number
- CN202411369280.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-29
- Publication Date
- 2025-12-09
- Estimated Expiration
- 2044-09-29
AI Technical Summary
The simulation of the operation and regulation of existing cryogenic refrigeration systems is poor, making it impossible to effectively debug control logic and predict performance. Furthermore, it is not suitable to improve efficiency and stability through extensive experiments.
Develop an operation training system for cryogenic refrigeration systems, including simulation models and control system models. Through the encapsulation of custom component models and simulation models, dynamic simulation and data interaction are performed. The simulation model is used to simulate thermodynamic performance and dynamic heat load, and to perform control program pre-verification and performance prediction.
It enables dynamic simulation and control logic debugging of cryogenic refrigeration systems without the need for actual systems, providing a reference for actual operation and operator training, and improving the simulation effect and the accuracy of system design.
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Figure CN119314372B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of system simulation, in particular to an operation training system of a low-temperature refrigeration system and a data interaction method thereof. BACKGROUND
[0002] With the development of science and technology, large-scale low-temperature systems have been widely used in frontier fields such as nuclear fusion, high-energy physics and superconducting systems, such as the Large Hadron Collider (LHC) of the European Organization for Nuclear Research (CERN), the International Thermonuclear Experimental Reactor (ITER) and the superconducting Tokamak of the National Advanced Nuclear Fusion Experimental Device (EAST). More than half of the large scientific devices in China currently require the support of low-temperature technology, and eight systems under construction or pre-research require matching large superfluid helium low-temperature systems.
[0003] A helium low-temperature refrigeration system from liquid hydrogen, liquid helium to superfluid helium temperature range refers to a low-temperature refrigeration system with a refrigeration temperature in the range of 1.8K-20K and a refrigeration capacity of several hundred to several thousand watts, which usually includes a room temperature helium compressor station and its high-precision oil filter, a liquid hydrogen / liquid helium temperature range helium refrigerator (including multi-stage turboexpander, multi-stage low-temperature heat exchanger and J-T throttle valve), a superfluid helium refrigerator and a user load (such as used for cooling various large superconducting magnets and superconducting radio frequency cavities, etc.).
[0004] Large hydrogen-helium low-temperature refrigeration systems are complex and have high power consumption, and it is not suitable to improve their important efficiency and stability through a large number of experiments. Dynamic simulation of low-temperature refrigeration systems can simulate dynamic thermal loads under different working modes and variable conditions, reduce thermal shock on the refrigerator, and perform performance estimation under different working modes of the low-temperature refrigeration system, providing key guidance for the design of the refrigerator and the design of the low-temperature distribution system.
[0005] OTS (Operation Training System) is a combination of dynamic simulation and test and control system development technology, which develops a front-end user operation interface to facilitate understanding of the characteristics of the entire system and operation training for the staff before the system is running.
[0006] Developing and utilizing the operation training system for training operators can avoid placing actual equipment in a dangerous situation. The operation training system can run in some special conditions without worrying about serious consequences. For the operator, it is difficult to distinguish between the real system and the simulation system facing the HMI human-machine interface.
[0007] The dynamic simulation model of the low-temperature refrigeration system is packaged, the dynamic simulation model of the low-temperature refrigeration system and the control system model of the low-temperature refrigeration system based on the PLC architecture are interacted, the dynamic simulation of the low-temperature refrigeration system can be simulated without building an actual low-temperature refrigeration system, the control system is pre-verified and debugged, the main control logic of the low-temperature refrigeration system is debugged, the performance of the low-temperature refrigeration system in different working modes is estimated, and the dynamic thermal load of the low-temperature refrigeration system is simulated. Provide a reference for the actual operation adjustment of the low-temperature refrigeration system, and train the operator. SUMMARY
[0008] The embodiment of the application provides an operation training system of a low-temperature refrigeration system and a data interaction method thereof, so as to at least solve the technical problem of poor simulation effect of the existing low-temperature refrigeration system operation adjustment.
[0009] According to an embodiment of the application, an operation training system of a low-temperature refrigeration system is provided, comprising a simulation model and a control system model.
[0010] The simulation model is used to understand the thermodynamic performance of the low-temperature refrigeration system in advance, simulate the dynamic thermal load of the low-temperature refrigeration system, and pre-verify the control program;
[0011] The control system model is the main body of the control logic;
[0012] The operation training system is used to debug the main control logic of the low-temperature refrigeration system, and estimate the performance of the low-temperature refrigeration system in different working modes.
[0013] Further, the operation training system is also used to provide a reference for the actual operation adjustment of the low-temperature refrigeration system, and train the operator.
[0014] Further, when establishing the simulation model of the compressor station, the required component model is developed according to the need; the compressor component model is customized, the performance characteristic curve of the compressor is written into the source code of the compressor component, and the special compressor model is defined and packaged.
[0015] Further, when establishing the simulation model of the turbine expander unit, the required component model is developed according to the need; the characteristic curve equation of each turbine is customized, the characteristic curve equation of each turbine is written into the source code of the turbine component, and the special turbine model is defined and packaged.
[0016] Further, when the simulation model of the cold compressor unit is established, the cold compressor component model is developed according to the requirement; in the simulation process, the atlas curve of the cold compressor unit is calculated by using the computer-aided calculation CFD method, the points are taken in the atlas curve, the blockage line of each cold compressor, the parameters of the specific pressure ratio and the specific flow rate, the specific flow rate and the specific speed mr_vs_Nr, the efficiency and the specific speed eta_vs_Nr are respectively defined, the source code is modified by using the parameters, and the cold compressor model is packaged into a self-defined cold compressor model.
[0017] Further, when the simulation model of the low-temperature refrigeration system is established, the internal variable simulation time time and the error information error are packaged into available components.
[0018] Further, when the simulation model of the low-temperature refrigeration system is established, the internal variable simulation time time is packaged into a simulation time component, and the internal variable error information error is packaged into an error information component; the simulation time component is output as the simulation time value of the system, the variable type is real, and the analog output is output; the error information component is output as the error information value of the system, the variable type is real, and the analog output is output.
[0019] Further, after the simulation model is compiled, the partition is generated, and after the partition is successfully validated, a special experiment needs to be established, and the EL language code is written in the experiment; the experiment is compiled and run.
[0020] Further, the deck platform is generated based on the EL experiment code: first, the input and output variables are defined, the input variable is a variable controlled by a third-party software, and the output variable is various process values calculated by the simulation model.
[0021] According to another embodiment of the application, a data interaction method of an operation training system of the low-temperature refrigeration system is provided, comprising:
[0022] The simulation model is packaged into a compilable C++ file by using the deck platform; the compilable C++ file is compiled into an executable file by using a C++ program, the simulation model is run, and the running result is placed in a SQL database;
[0023] The input and output data of the simulation model running of the low-temperature refrigeration system are obtained in the SQL database based on the PLC control system, and the data interaction is performed with the simulation model.
[0024] The operation training system of the low-temperature refrigeration system and the data interaction method thereof in the embodiment of the application include a simulation model of the low-temperature refrigeration system, a control system model of the low-temperature refrigeration system, and a method for data interaction between the simulation model and the control system model. The operation training system of the low-temperature refrigeration system can be used to understand the thermodynamic performance of the low-temperature refrigeration system in advance, simulate the dynamic heat load of the low-temperature refrigeration system, pre-verify the control program, debug the main control logic of the low-temperature refrigeration system, and estimate the performance of the low-temperature refrigeration system in different working modes. BRIEF DESCRIPTION OF DRAWINGS
[0025] The drawings described herein are used to provide further understanding of the application, and form a part of the application. The illustrative embodiments of the application and their descriptions serve to explain the application, and do not constitute an improper limitation on the application. In the drawings:
[0026] Figure 1 FIG. 1 is a flowchart of an operation training system of a low-temperature refrigeration system according to an embodiment;
[0027] Figure 2 FIG. 2 is a technical architecture diagram of the operation training system of the low-temperature refrigeration system according to the embodiment;
[0028] Figure 3 FIG. 3 is a block diagram of the low-temperature refrigeration system according to the embodiment;
[0029] Figure 4 FIG. 4 is a technical roadmap of the operation training system of the low-temperature refrigeration system according to the embodiment. DETAILED DESCRIPTION
[0030] In order to enable persons skilled in the art to better understand the application scheme, the technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only a part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by persons skilled in the art without creative labor should fall within the scope of protection of the application.
[0031] It is to be understood that the terms "first", "second", and the like used in the description and the claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged, where appropriate, so that the embodiments of the application described herein can be carried out in other than the order shown or described herein. Furthermore, the terms "comprise" and "have", and any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or apparatus that comprises a list of steps or units is not necessarily limited to those steps or units that are clearly listed, but can include other steps or units that are not clearly listed or inherent to such processes, methods, products, or apparatuses.
[0032] The application discloses a low-temperature refrigeration system operation training system and a data interaction method thereof, comprising a simulation model of a low-temperature refrigeration system, a control system model of the low-temperature refrigeration system, and a method for data interaction between the simulation model and the control system model. The low-temperature refrigeration system operation training system can understand the thermodynamic performance of the low-temperature refrigeration system in advance, simulate the dynamic heat load of the low-temperature refrigeration system, perform pre-verification of a control program, debug main control logic of the low-temperature refrigeration system, and perform performance estimation of the low-temperature refrigeration system under different working modes. The low-temperature refrigeration system operation training system provides a reference basis for actual operation adjustment of the low-temperature refrigeration system and training of an operator.
[0033] The application adopts the following specific technical solutions:
[0034] A low-temperature refrigeration system, see Figure 3 A low-temperature refrigeration system block diagram.
[0035] The low-temperature refrigeration system in the application refers to a large and medium-sized low-temperature refrigeration system, specifically refers to a kilowatt-level liquid hydrogen temperature zone refrigerator, a hundred-kilowatt-level liquid helium temperature zone refrigerator and a 20L / h and above helium liquefier. The above large and medium-sized low-temperature refrigeration system takes helium as a refrigeration working medium and is designed and assembled based on a Claude refrigeration cycle or a Collins refrigeration cycle. The low-temperature refrigeration system is composed of a compressor station of a normal temperature part, a heat exchanger group, a turbo expander group and a J-T throttling valve of a low-temperature part, a vacuum insulated cold box and a low-temperature storage tank or a user load connected through a low-temperature transmission pipeline.
[0036] The compressor station can be a piston type, a double screw type or a centrifugal type compressor; can be a single compressor, or can be two compressors in series, or a plurality of compressors in series and parallel combination.
[0037] When the simulation model of the compressor station is established, the required component models are developed according to the needs. The compressor component model can be customized, for example, the performance characteristic curve of the compressor is written into the source code of the compressor component, and is defined and packaged into a proprietary compressor model, so as to be more suitable for the actual situation and specific working conditions.
[0038] The helium refrigerator can be a helium refrigerator based on a Claude cycle, a modified Claude cycle, a two-stage turbine Collins cycle, a multi-stage (2 < n < 6) turbine Collins cycle, or a multi-stage (2 < n < 10) turbine modified Claude cycle combined with a Collins cycle.
[0039] The turboexpander set can be a static pressure gas bearing support, a dynamic pressure gas bearing support, a ceramic bearing support, or a magnetic bearing support; and can be a full gas turboexpander or a gas-liquid two-phase turboexpander.
[0040] When establishing a simulation model of the turboexpander set, a required component model is developed according to a need. For example, a characteristic curve equation of each turboexpander can be self-defined, that is, the characteristic curve equation of each turboexpander is written into a source code of a turboexpander component, is defined and encapsulated to become a proprietary turboexpander model, so as to be more suitable for actual conditions and specific working conditions.
[0041] The cryogenic storage tank can be a liquid helium dewar for storing liquid helium, can be a cold load test subsystem with a built-in heater for simulating a test refrigeration capacity, or can be a cryogenic distribution valve box for delivering cryogenic saturated helium gas to a user or a cooled load for cooling.
[0042] The user load can be a 2K / 4K temperature zone thermal load, a 4.5-75K temperature zone thermal load, or a 50-75K temperature zone thermal load. Generally, the 2K / 4K temperature zone thermal load mainly refers to pre-cooling, running, quenching and other non-steady state working conditions of components such as superconducting cavities, superconducting magnets and superconducting solenoids in a 2K / 4K temperature zone; the 4.5-75K temperature zone thermal load mainly refers to pre-cooling, running, quenching and other non-steady state working conditions of components such as couplers in a corresponding temperature zone; and the 50-75K temperature zone thermal load mainly refers to various working conditions of components such as cold screens and current leads.
[0043] Components such as superconducting cavities, superconducting magnets, superconducting solenoids and couplers in a cryogenic refrigeration system do not have ready-made component models available in a Cryolib of a dynamic simulation software EcosimPro, and need to be developed by a user. After the model is developed, the model validity is verified.
[0044] As a cryogenic refrigeration system, a cold screen includes a liquid nitrogen cold screen and other temperature zone cold screens, and an electric heater can be selected in a Cryolib of a dynamic simulation software EcosimPro to simulate a dynamic thermal load of the cold screen.
[0045] As a cryogenic refrigeration system, the current lead is not available in the Cryolib, a low-temperature component library based on dynamic simulation software EcosimPro, and needs to be developed by the user. After the development of the model, the model validity needs to be verified.
[0046] After the development of the component model, dynamic simulation is carried out based on different working modes, such as pre-cooling condition, running condition, superconducting loss condition and other non-steady state conditions.
[0047] The superfluid helium refrigerator can be a combination of Joule-Thomson throttle valve, negative pressure heat exchanger, cold compressor and negative pressure room temperature pump, or a combination of Joule-Thomson throttle valve, negative pressure heat exchanger and cold compressor, or a combination of Joule-Thomson throttle valve, negative pressure heat exchanger and negative pressure room temperature pump.
[0048] When establishing the simulation model of the cold compressor unit, the cold compressor component model is developed according to the needs. In the simulation process, the computer-aided calculation CFD method can be used to calculate the map curve of each cold compressor, and the points in the map curve are taken to respectively define the parameters of each cold compressor, such as the choke line, the rp_vs_Nr (ratio pressure ratio vs. ratio speed), the mr_vs_Nr (ratio flow vs. ratio speed), and the eta_vs_Nr (efficiency vs. ratio speed). The source code is modified with these parameters, and the custom cold compressor model is packaged, which can be closer to the actual situation and specific working conditions.
[0049] The negative pressure room temperature pump set can be an oil-free dry pump or an oil pump, and can be a pump or a plurality of pumps connected in parallel to form a pump set.
[0050] The negative pressure compressor set can realize direct gas compression from negative pressure to low pressure or negative pressure to medium pressure, and can be a negative pressure compressor or a plurality of negative pressure compressors connected in parallel to form a set.
[0051] Figure 3 The input variables in the model include the starting signals of each compressor, the starting signals of each pump set, the opening degrees of each regulating valve, the opening degrees of each on-off valve, the powers of each electric heater, the powers of each load, and the PID automatic signals. Specifically, the starting signals of the high-pressure compressor, the low-pressure compressor, the negative-pressure compressor, and the pump set. The PID automatic signals of each compressor station, the PID automatic signals of each turbo expander set, the PID automatic signals of each cold compressor set, the PID automatic signals of each pump set, and the PID automatic signals of each gas-liquid separator. The slide valve signals of the high-pressure compressor, the low-pressure compressor, and the negative-pressure compressor. The opening degrees of each regulating valve and the opening degrees of each on-off valve in the cryogenic refrigeration system. The powers of each electric heater and the powers of each load, etc.
[0052] Figure 3The output variables in the simulation model include the temperature, pressure, and flow rate before and after each heat exchanger, the opening of each valve, the temperature, pressure, and flow rate before and after each valve, the temperature, pressure, and flow rate before and after each turbine, the speed and efficiency of each turbine, the temperature, pressure, and flow rate before and after each cold compressor, the pressure ratio, speed, and efficiency of each cold compressor, the flow rate, head, speed, power, and efficiency of each pump, the temperature, pressure, and liquid level of each gas-liquid separator, the inlet and outlet flow rate of each gas-liquid separator, and the power of the internal electric heater of each gas-liquid separator, and the power of each load. Specifically, the simulation time, error information (optional if the system has), the inlet and outlet temperature, pressure, and flow rate of the high-pressure compressor / low-pressure compressor / negative-pressure compressor, the frequency and slide valve of the high-pressure compressor / low-pressure compressor / negative-pressure compressor, the opening of each regulating valve, the inlet and outlet temperature, pressure, and flow rate of each regulating valve, the opening of each on-off valve, the inlet and outlet temperature, pressure, and flow rate of each on-off valve, the inlet and outlet temperature, pressure, and flow rate of each turbine, the speed and efficiency of each turbine, the inlet and outlet temperature, pressure, and flow rate of each cold compressor, the pressure ratio, speed, and efficiency of each cold compressor, the flow rate, head, speed, power, and efficiency of each pump, the temperature, pressure, and flow rate before and after each heat exchanger, the temperature, pressure, and liquid level of each gas-liquid separator, the inlet and outlet flow rate of each gas-liquid separator, the power of the internal electric heater of each gas-liquid separator, and the power of each load. A dynamic simulation model of a low-temperature refrigeration system is based on a dynamic simulation software EcosimPro. First, a simulation model of the low-temperature refrigeration system is established and compiled.
[0053] When establishing the simulation model of the low-temperature refrigeration system, the component models of the low-temperature refrigeration system are developed as needed. For example, the simulation model of the compressor, the simulation model of the turbo expander, the simulation model of the low-temperature system heat load, and the simulation model of the cold compressor can be developed by the user as needed.
[0054] The dynamic simulation of the low-temperature refrigeration system can simulate the dynamic heat load under different working modes and variable conditions, reduce the thermal shock on 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 refrigeration system under actual conditions, when performing the dynamic simulation of the low-temperature refrigeration system, the user-defined low-temperature component model needs to be developed as needed, and then the low-temperature refrigeration system model is formed for dynamic simulation, which can be closer to the actual situation.
[0055] Optionally, when the simulation model of the low-temperature refrigeration system is established, the internal variable simulation time time and the error information error are packaged into available components respectively. The internal variable simulation time time is packaged into a simulation time component. The internal variable error information error is packaged into an error information component. The simulation time component outputs a simulation time value of the system, and the variable type is real and the analog output. The error information component outputs an error information value of the system, and the variable type is real and the analog output.
[0056] The simulation time component and the error information component do not need to be connected into the main loop of the simulation model of the low-temperature refrigeration system. The simulation time component and the error information component can be placed in the same picture as the main loop model of the simulation model of the low-temperature refrigeration system. After the compilation, the system can run smoothly.
[0057] After the simulation model is compiled, a partition is generated, and after the partition is successfully validated, a special experiment needs to be established. The EL language code is written in the experiment. The experiment is compiled and run. Based on the EL experiment code, a deck platform is generated. First, the input and output variables are defined. The input variable is the variable that needs to be controlled by the third-party software, and the output variable is the process value calculated by the simulation model.
[0058] 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.
[0059] There are many input and output variables, which are not described here.
[0060] One embodiment is shown in Figure 1 、 Figure 2 、 Figure 4 A data interaction method of an operation training system of a low-temperature refrigeration system
[0061] The simulation model is packaged into a compilable C++ file by using the deck platform. The compilable C++ file is compiled into an executable file by using a C++ program, the simulation model is run, and the running result is placed in a SQL database.
[0062] The input and output data of the simulation model running of the low-temperature refrigeration system are obtained in the SQL database by using a PLC-based control system, and data interaction is performed with the simulation model.
[0063] In this embodiment, the PLC is a virtual PLC, that is, a PLC simulator. In this embodiment, no PLC hardware is used, and the economy is better.
[0064] Advantages of the present application:
[0065] The application discloses a low-temperature refrigeration system operation training system and a data interaction method thereof, comprising a simulation model of a low-temperature refrigeration system, a control system model of the low-temperature refrigeration system, and a method for data interaction between the simulation model and the control system model. The low-temperature refrigeration system operation training system can know the thermodynamic performance of the low-temperature refrigeration system in advance, simulate the dynamic heat load of the low-temperature refrigeration system, perform control program pre-verification, debug the main control logic of the low-temperature refrigeration system, and perform performance estimation of the low-temperature refrigeration system under different working modes. The low-temperature refrigeration system operation training system provides a reference basis for actual operation adjustment of the low-temperature refrigeration system and trains operators.
[0066] The above-mentioned serial numbers of the embodiments of the application are only for description, and do not represent the advantages and disadvantages of the embodiments.
[0067] In the above-mentioned embodiments of the application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.
[0068] In several embodiments provided in the present application, it should be understood that the disclosed technical contents can be implemented by other ways. Among them, the system embodiments described above are only schematic, for example, the division of units can be a logical function division, and actual implementation can have another division way, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, units or modules, which can be electrical or other forms.
[0069] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed to multiple units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment scheme.
[0070] In addition, each functional unit in each embodiment of the application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or in the form of software functional unit.
[0071] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or in other words, the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.
[0072] The above is only the preferred embodiment of the present application, it should be pointed out that, for those skilled in the art, without departing from the principles of the present application, can make a number of improvements and refinements, these improvements and refinements should also be considered as the protection scope of the present application.
Claims
1. A data interaction method of an operation training system of a low temperature refrigeration system, characterized by, The data interaction method is executed by a low-temperature refrigeration system operation training system, the low-temperature refrigeration system operation training system comprising a simulation model and a control system model; wherein: The simulation model is used to understand the thermodynamic performance of the low-temperature refrigeration system in advance, simulate the dynamic heat load of the low-temperature refrigeration system, and perform pre-validation of the control program; when the simulation model of the low-temperature refrigeration system is established, internal variable simulation time time and error information error are encapsulated into available components, including encapsulating the internal variable simulation time time into a simulation time component; encapsulating the internal variable error information error into an error information component; the simulation time component outputs a simulation time value of the system, and the variable type is real, analog output; the error information component outputs an error information value of the system, and the variable type is real, analog output; when compiling, the simulation time component and the error information component are placed in the same picture as the main loop model of the low-temperature refrigeration system simulation model; after the simulation model is compiled and passed, a partition is generated; after the partition is successfully validated, a special experiment needs to be established; EL language code is written in the experiment; the experiment is compiled and run; based on the EL experiment code, a deck platform is generated; first, input and output variables are defined; the input variable is a variable controlled by a third-party software; the output variable is various process values calculated by the simulation model; 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 refrigeration system and perform performance estimation of the low-temperature refrigeration system under different working modes; The data interaction method comprises: Using the deck platform, the simulation model is encapsulated into a compilable C++ file; using a C++ program, the compilable C++ file is compiled to generate an executable file; the simulation model is run, and the running results are placed in a SQL database; The PLC-based control system obtains input and output data of the low-temperature refrigeration system simulation model running in the SQL database and interacts with the simulation model, wherein the PLC uses a virtual PLC and does not use PLC hardware.
2. The data interaction method of the operation training system of the low temperature refrigeration system according to claim 1, characterized in that, The operation training system is also used to provide a reference basis for adjusting the actual operation of the low-temperature refrigeration system and to train operators.
3. The data interaction method of the operation training system of the cryogenic refrigeration system according to claim 1, characterized in that, When establishing a simulation model of a compressor station, required component models are developed according to needs; a compressor component model is defined and encapsulated by writing performance characteristic curves of the compressor into the source code of the compressor component.
4. The data interaction method of the operation training system of the cryogenic refrigeration system according to claim 1, characterized in that, When establishing a simulation model of a turboexpander unit, required component models are developed according to needs; a special turboexpander model is defined and encapsulated by writing characteristic curve equations of each turboexpander into the source code of the turboexpander component.
5. The data interaction method of the operation training system of the cryogenic refrigeration system according to claim 1, characterized in that, When establishing the simulation model of the cold compressor unit, the cold compressor component model is developed according to the requirement; in the simulation process, the computer-aided calculation CFD method is used to calculate the map curve of each cold compressor, the points are taken in the map curve, the blockage line, the specific pressure ratio-contrast speed rp_vs_Nr, the specific flow ratio-contrast speed mr_vs_Nr and the efficiency-contrast speed eta_vs_Nr parameters of each cold compressor are respectively defined, the source code is modified by using the parameters, and the cold compressor model is packaged into the self-defined cold compressor model.
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