Driving training device and driving training method

The driver training device and method address high operational loads in simulators by using simplified operation models, allowing for efficient and high-quality training across various devices.

JP7623253B2Active Publication Date: 2025-01-28MITSUBISHI HEAVY IND LTD
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Patent Information

Application Number
JP2021142918
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-09-02
Publication Date
2025-01-28
Estimated Expiration
2041-09-02

AI Technical Summary

Technical Problem

Conventional driver training simulators impose high operational loads due to accurate operation models, limiting training to specific facilities and imposing numerous restrictions.

Method used

A driver training device and method utilizing a simplified first operation model for the training equipment and a second operation model for equipment affecting the first, reducing the number of systems in the first equipment's composition to lower operational load.

Benefits of technology

Enables low-operational-load training with high accuracy and convenience, suitable for use in devices like laptop computers, by employing simplified models for training scenarios and switching between simulation modes.

✦ Generated by Eureka AI based on patent content.

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Abstract

To perform a training using an operation model, with a lower operation load.SOLUTION: An operation training device has a model operation unit for simulating a system by using operation models, the system including a first facility and a second facility as a training target having an influence on the operation of the first facility. The operation models include a first operation model for simulating the first facility and a second operation model for simulating the second facility. The first operation model is formed on the basis of the structure of the first facility simplified so that the number of systems of the first facility will be reduced.SELECTED DRAWING: Figure 1
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Description

[Technical field]

[0001] The present disclosure relates to a driver training device and a driver training method. [Background technology]

[0002] As training for operators involved in plant operation, training is performed using a simulator device that simulates a plant. This type of simulator device reproduces the behavior of the plant by using a computation model constructed based on the actual plant. For example, Patent Document 1 discloses a simulator device that prepares multiple computation models for use in simulation and can realize simulation according to scenes in which the behavior of parameters differs by switching between them according to the scene. Patent Document 2 discloses an operation training simulator that can perform simulation by combining a computation model for calculating parameters of the entire nuclear plant and a computation model for calculating only main parameters when responding to a severe accident. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2014-115520 A [Patent Document 2] JP 2014-006178 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the conventional simulation device as described above, since a computational model constructed from the viewpoint of accurately reproducing the training subject is used, the computational load tends to be high. For example, in the case where the training subject is a specific serious accident response facility that is installed in a nuclear plant to respond to a serious accident, if a highly accurate computational model is constructed for the entire plant including the nuclear plant and the specific serious accident response facility, the computational load during the simulation becomes high. Training involving such a high computational load can only be performed on specific equipment that can handle the computational load, and there are many restrictions.

[0005] At least one embodiment of the present disclosure has been made in consideration of the above-mentioned circumstances, and aims to provide a driving training device and a driving training method that are capable of performing training using a computational model with a small computational load. [Means for solving the problem]

[0006] In order to solve the above problems, a driving training device according to at least one embodiment of the present disclosure includes: A computation model simulation unit is provided for simulating a system including a first facility and a second facility that is a training subject and that affects the operation of the first facility, using a computation model; The computational model is A first computation model that simulates the first facility; A second computation model that simulates the second facility; Equipped with The first computational model is constructed based on a configuration of the first facility that is simplified so as to reduce the number of multiple systems that the first facility has.

[0007] In order to solve the above problems, at least one embodiment of the present disclosure provides a driving training method, A method for training an operator to simulate a system including a first facility and a second facility that is a training subject and that affects an operation of the first facility, using a computational model, The computational model is A first computation model that simulates the first facility; A second computation model that simulates the second facility; Equipped with The first computational model is constructed based on a configuration of the first facility that is simplified so as to reduce the number of multiple systems that the first facility has. Effect of the Invention

[0008] According to at least one embodiment of the present disclosure, a driving training device and a driving training method capable of performing training using a computational model with a small computational load can be provided. [Brief description of the drawings]

[0009] [Figure 1] 1 is an overall configuration diagram of a system according to an embodiment; [Diagram 2] 1 is a block diagram showing a configuration of a driving training device according to an embodiment; [Diagram 3] 3 is a schematic diagram showing an example in which the configuration of the first facility in FIG. 1 is simplified in order to construct the first computation model in FIG. 2. [Figure 4] FIG. 13 is a block diagram showing a configuration of a driving training device according to another embodiment. [Diagram 5] 5 is an example of a time change in a calculation result output from the driving training device of FIG. 4. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, some embodiments of the present invention will be described with reference to the accompanying drawings. However, the dimensions, materials, shapes, relative arrangements, etc. of components described as the embodiments or shown in the drawings are merely illustrative examples and are not intended to limit the scope of the present invention.

[0011] 1 is an overall configuration diagram of a system 1 according to an embodiment. The system 1 is operated by an operator who is the training subject of an operation training device 100 according to at least one embodiment of the present disclosure, and is configured to include a first facility 2 and a second facility 4. The first facility 2 is a facility operated by the operator, and the second facility 4 is a facility that affects the operation of the first facility 2. In the following, as shown in FIG. 1, a nuclear power plant will be described as an example of the system 1, but the present invention is not limited thereto.

[0012] The first facility 2 is a nuclear reactor facility 6. The nuclear reactor facility 6 is configured to include a nuclear reactor 8, a primary cooling system 10, a pressurizer 12, and a steam generator 16 within a reactor containment vessel 7.

[0013] The nuclear reactor 8 is configured by housing fuel assemblies, control rod clusters, and other reactor internal structures 9 in a reactor vessel 18, which is a pressure vessel. The fuel assemblies have a plurality of fuel rods containing pellet-shaped nuclear fuel (e.g., uranium fuel, MOX fuel, etc.), and the control rod clusters are made up of a plurality of control rods arranged in a dispersed manner. The control rod clusters are capable of absorbing neutrons generated in the reactor core containing nuclear fuel, and the number of neutrons is adjusted by inserting and withdrawing them from the fuel assemblies, thereby controlling the reactor output.

[0014] The primary cooling system 10 has a plurality of primary cooling loops, which are flow paths for circulating a primary coolant, which is a heat transfer medium, between the reactor vessel 18 and the steam generator 16. Each primary cooling loop is provided with a primary cooling pump 20 for circulating the primary coolant, and FIG. 1 representatively shows one of the plurality of primary cooling loops.

[0015] The pressurizer 12 pressurizes the inside of the primary cooling system 10 so as to prevent the primary coolant flowing through the primary cooling system 10 from boiling. The pressurizer 12 is connected, for example, via a relief valve 13 so as to branch off from the primary cooling system 10.

[0016] The steam generator 16 is a heat exchanger that exchanges heat between secondary cooling water circulating through turbine equipment (not shown) and primary coolant flowing through the primary cooling system 10 to heat the secondary cooling water and generate steam.

[0017] The second facility 4 is a facility that affects the operation of the nuclear reactor facility 6, which is the first facility 2. In this embodiment, as an example, the second facility 4 is a specific serious accident response facility 22 for responding to a specific serious accident or the like that occurs in the nuclear reactor facility 6. The specific configuration of the specific serious accident response facility 22 is not limited, but FIG. 1 shows, as some examples, a gas turbine generator 24 for supplying emergency power to the nuclear reactor facility 6, a filter vent facility 26 equipped with a filtering function for removing radioactive materials and the like contained in the internal atmosphere and discharging them to the outside when the pressure inside the reactor containment vessel 7 increases, and a CV spray facility 28 for cooling the reactor containment vessel 7 by injecting cooling water as a coolant from a spray installed inside the vessel when the internal temperature rises.

[0018] FIG. 2 is a block diagram showing a configuration of an operation training device 100 according to an embodiment. The operation training device 100 is a device for training an operator who handles the second facility 4 of the system 1 having the above configuration. The operation training device 100 is composed of, for example, a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and a computer-readable storage medium. A series of processes for realizing various functions is stored in a storage medium or the like in the form of a program, for example, and the CPU reads out the program into the RAM or the like and executes information processing and arithmetic processing to realize various functions. The program may be installed in a ROM or other storage medium in advance, provided in a state stored in a computer-readable storage medium, or distributed via a wired or wireless communication means. The computer-readable storage medium may be a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like.

[0019] The driving training device 100 includes an operation information acquisition unit 110, a model calculation unit 120, and a calculation result output unit .

[0020] The operation information acquisition unit 110 is configured to acquire information (operation information) related to the operation of the operator who is the training subject. For example, the operation training device 100 includes an input device corresponding to a terminal operated by the operator when operating the system 1, and acquires information input to the device via a human interface (e.g., an operation button, an operation lever, a keyboard, a mouse, etc.) as operation information.

[0021] The model calculation unit 120 is configured to calculate the operating state of the system by using a calculation model M corresponding to the system 1 having the above configuration. The calculation model M of the model calculation unit 120 is constructed in advance to simulate the operation of the system 1 having the above configuration. The calculation model M is constructed to receive operation information acquired by the operation information acquisition unit 110, and to output a calculation result simulating the operation of the system 1 corresponding to the operation information.

[0022] The calculation result output unit 130 included in the operation training device 100 may be configured to display the calculation results in the model calculation unit 120 on multiple screens. By displaying the simulated state of the system 1 on multiple screens, it is possible to provide effective training for a system operated by an operator while referring to multiple screens or a system operated by multiple operators while each referring to a screen.

[0023] The computation model M includes a first computation model M1 and a second computation model M2. The first computation model M1 is a computation model that simulates a first facility 2 in the system 1, and the second computation model M2 is a computation model that simulates a second facility 4 in the system 1. Each parameter included in the operation information acquired by the operation information acquisition unit 110 is appropriately input to the first computation model M1 and the second computation model M2, respectively, and the computation results of the first computation model M1 and the second computation model M2 are output from the computation result output unit 130.

[0024] In this embodiment, the second arithmetic model M2 corresponds to the second equipment 4 which is the training subject (the subject of operation by the operator), and is constructed so as to accurately simulate the behavior of the second equipment 4 in order to perform highly accurate training. Therefore, it is preferable that the second arithmetic model M2 is constructed in relatively detail so as to accurately reproduce the behavior of the second equipment 4. Note that the second arithmetic model M2 may be constructed in a somewhat simplified manner without strictly simulating the second equipment 4, but the degree of simplification is preferably within a range in which the purpose of accurately reproducing the behavior of the second equipment 4 can be achieved, and the second arithmetic model M2 is constructed in relatively detail.

[0025] On the other hand, the first calculation model M1 corresponds to the first equipment 2 that is affected as a result of the second equipment 4 being operated by an operator. In other words, the first calculation model M1 is constructed to be more or less simplified in order to simulate the first equipment 2 that is not the object of operation of the operator like the second equipment 4, but is affected by the operation. Compared to the above-mentioned second calculation model M2, the first calculation model M1 is constructed to have a higher degree of simplification. Specifically, if a concept of simplicity is introduced as a parameter indicating the degree of simplification, with a calculation model constructed to reproduce strict behavior being 0%, the first calculation model M1 is constructed to have a higher degree of simplification than the second calculation model M2.

[0026] For example, a parameter that is expected to vary widely, such as the core thermal power in the event of a specific severe accident, may be included in the second calculation model M2, which has a low degree of simplicity, by using a physical formula. Also, a parameter that is expected to vary monotonically, such as the containment vessel pressure in the event of a specific severe accident, may be included in the first calculation model M1, which has a high degree of simplicity, as a function formula based on condition judgment, to reduce the amount of calculation as much as possible. In addition, facilities for dealing with specific major accidents, etc. can be simulated in detail by including them in the second calculation model M2, while other existing systems (reactor cooling system (RCS), reactor containment vessel (CV), core, etc.) can be simplified by including them in the first calculation model M1 using an appropriate simulation method for each parameter. In addition, in the simulation using the first calculation model M1 and the second calculation model M2, in order to enable monitoring operation training with the same feel as an actual machine, all calculations may be performed in real-time simulation as the basic calculation speed, but as a variation in calculation speed, it may be possible to set a speed-up function such as 1 / 2 speed, 1 speed, 2 speed, 10 speed, and 20 speed. Moreover, the first calculation model M1 and the second calculation model M2 exchange necessary parameters with each other via an interface (not shown). The parameters exchanged between the models in this way include, for example, the amount of water, the amount of heat, and the state of the equipment of each system.

[0027] The first calculation model M1 is constructed so as to simulate at least a partially simplified configuration of the first facility 2 in order to obtain a higher degree of simplicity than the second calculation model M2.

[0028] Here, FIG. 3 is a schematic diagram showing an example in which the configuration of the first facility 2 in FIG. 1 is simplified in order to construct the first calculation model M1 in FIG. 2. In this example, the configurations of the reactor 8 (reactor vessel 18 and reactor internal structure 9) accommodated in the reactor vessel 7 in FIG. 1, the pressurizer 12, the relief valve 13, etc. are simplified, and other configurations are omitted. The configuration to be simplified in the first facility 2 in this manner is not limited, but for example, when a plurality of equivalent elements are provided in the first facility 2, the number of these multiple elements may be reduced. In the above-mentioned first facility 2, since the primary cooling system 10 has a plurality of primary cooling loops, by simulating a configuration in which these primary cooling loops are combined into one, it is possible to obtain a first calculation model M1 with a low calculation load while maintaining a relatively good simulation accuracy.

[0029] As described above, according to the above embodiment, the computation model M for simulating the system 1 includes the first computation model M1 and the second computation model M2. The first computation model M1 simulates the first equipment 2, which is the training target of the system 1, and the second computation model M2 simulates the second equipment 4, which is another configuration of the system 1 that affects the first equipment 2. The second computation model M2 is constructed based on the configuration of the second equipment 4, which is simplified so as to reduce the number of multiple systems (primary cooling loops) that the second equipment 4 has, and can effectively reduce the computation load while ensuring the simulation accuracy of the first equipment 2, which is the training target. This makes it possible to carry out high-quality training with high convenience on a wide range of devices, including mobile terminals such as notebook computers.

[0030] 4 is a block diagram showing the configuration of a driving training device 100 according to another embodiment. In this embodiment, a training mode switching unit 140 and a scenario reproducing unit 150 are further provided in addition to the components shown in FIG.

[0031] The training mode switching unit 140 is configured to switch the training mode of the driving training device 100. In this embodiment, the driving training device 100 is provided with a model calculation mode and a scenario playback mode, and is configured to select one of the training modes by the training mode switching unit 140. Such switching of the training mode is performed when a predetermined switching condition is satisfied in the training mode switching unit 140, as described later.

[0032] As described above, the model calculation mode is a mode in which operation training is carried out by obtaining calculation results using the calculation model M from input based on the operator's operation. On the other hand, the scenario playback mode is a mode in which the time change of the calculation results is played back based on a preset scenario, regardless of the operator's operation.

[0033] The scenario reproducing unit 150 is configured to reproduce, as a preset scenario, the change over time in the calculation result output from the calculation result output unit 130 when the scenario reproducing mode is selected by the training mode switching unit 140. The scenario reproduced by the scenario reproducing unit 150 is preset and prepared in a readable manner in a storage medium (not shown) that the driving training device 100 has.

[0034] Figure 5 shows an example of the time change in the calculation result (for example, the temperature [°C] of the primary coolant) output from the operation training device 100 in Figure 4. Figure 4 shows an example in which the scenario playback mode is selected from time t0 to t1, and a predetermined switching condition is met at time t1, so that the model calculation mode is selected thereafter.

[0035] For example, in a nuclear power plant, when a specific serious accident or the like occurs, an operator in another location such as a central control room moves to the second facility 4, which is a facility for dealing with specific serious accidents, and then the specific serious accident or the like is dealt with. In order to train for such a situation, the operator training device 100 selects a scenario playback mode from time t0 to t1, which corresponds to the time before the start of dealing with the specific serious accident or the like. During this time period, the operator is in the stage before starting to deal with the specific serious accident or the like, so simulation using a computation model is not necessary, and by playing back a preset scenario, sufficient simulation can be performed while suppressing the computation burden.

[0036] At time t1 when the mode is switched to the model calculation mode, a predetermined switching condition is satisfied. The predetermined switching condition can be set as appropriate, but in the above-mentioned example of the nuclear power plant, it can be set so that it is determined whether the operator starts the operation to deal with a specific serious accident or the like based on whether at least one of the following conditions is satisfied: (i) Whether a predetermined period of time has elapsed since the occurrence of a specific serious accident, etc. (ii) Were the prescribed operations carried out when initiating response to a specific serious accident, etc.? (iii) Did the parameters of the scenario play out reach the preset criteria?

[0037] When the above (i) is used as the switching condition, the time when the scenario assumed in the use of the specific serious accident response equipment starts to affect the simulation model (for example, the time when the specific serious accident response equipment starts to operate and starts injection into the core) can be used as the preset time. In this case, the plant state when shifting from scenario playback to simulation can be made the same, and the operator can start operation based on that state. When the above (ii) is used as the switching condition, the timing of switching to the model calculation mode can be adjusted by the operator, who is the user, by using a predetermined operation as a trigger for switching to the model calculation mode. In this case, for example, an operation of starting injection into the core by operating equipment of the specific severe accident response equipment can be used as the predetermined operation. In addition, when the above (iii) is used as the switching condition, it is advantageous in that it is possible to faithfully reproduce the initial state simulation in which parameters fluctuate significantly due to the occurrence of a specific serious accident, etc., by reproducing the scenario, which is difficult to reproduce by model calculation.

[0038] As described above, according to this embodiment, by switching between scenario playback and model calculation, the calculation load can be effectively reduced compared to when the entire training is performed by model calculation. This makes it possible to provide high-quality training with high convenience on a wide range of devices, including mobile terminals such as notebook computers.

[0039] In addition, within the scope of the present disclosure, the components in the above-described embodiments may be replaced with well-known components as appropriate, and the above-described embodiments may be combined as appropriate.

[0040] The contents described in each of the above embodiments can be understood, for example, as follows.

[0041] (1) A driving training device (100) according to one embodiment includes: A model calculation unit (130) for simulating a system (1) including a first facility (2) and a second facility (4) that is a training subject and that affects the operation of the first facility, using a calculation model (M); The computational model is A first calculation model (M1) that simulates the first facility; A second calculation model (M2) that simulates the second facility; Equipped with The first computational model is constructed based on a configuration of the first facility that is simplified so as to reduce the number of multiple systems that the first facility has.

[0042] According to the above aspect (1), the computation model for simulating the system includes a first computation model and a second computation model. The first computation model simulates a first facility of the system, and the second computation model simulates a second facility, which is a training target and is another configuration of the system that affects the first facility. The first computation model is constructed based on the configuration of the first facility that is simplified so as to reduce the number of multiple systems that the first facility has, thereby effectively reducing the computation load while ensuring simulation accuracy for the second facility that is the training target. This makes it possible to provide high-quality training with high convenience on a wide range of devices, including mobile terminals such as notebook computers.

[0043] (2) In another embodiment, in the above embodiment (1), The first computation model is constructed based on the configuration in which the multiple systems are simplified into one system.

[0044] According to the above aspect (2), when constructing a first computation model based on the configuration of the first equipment, the computational load of the first computation model can be effectively reduced by simplifying the multiple systems of the first equipment into one.

[0045] (3) In another embodiment, in the above embodiment (1) or (2), The system further includes a scenario replay unit (150) that simulates operation of the system based on a preset scenario, a switching unit (140) for switching between simulating the operation of the system by the scenario reproducing unit or the model calculating unit; Equipped with.

[0046] According to the above aspect (3), the simulation of the operation of the system can be performed according to a preset scenario in addition to the simulation using the computational model as described above. The simulation using the computational model and the simulation based on the scenario can be switched between each other by a switching unit. Since the simulation based on the scenario has a smaller computation load than the simulation using the computational model, a driving training device with a smaller computation load can be realized.

[0047] (4) In another embodiment, in the above embodiment (3), The switching unit is configured to switch from the scenario replay unit to the simulation of the operation of the system by the model calculation unit when a predetermined condition is satisfied while the operation of the system is being simulated by the scenario simulation unit.

[0048] According to the above aspect (4), by switching from a simulation based on a scenario to a simulation using a computational model, provided that certain conditions are satisfied, it is possible to perform training that accurately reproduces the behavior of the system while reducing the computational load.

[0049] (5) In another embodiment, in the above embodiment (4), The predetermined condition includes at least one of: (i) the passage of a preset time, (ii) the performance of a preset operation, or (iii) a parameter related to the operation of the system reaching a preset criterion.

[0050] According to the above aspect (5), switching from simulation based on a scenario to simulation using a computational model is performed on the condition that at least one of (i) to (iii) is satisfied.

[0051] (6) In another embodiment, in any one of the above (1) to (5), A simulated state of the system can be displayed on multiple screens.

[0052] According to the above aspect (6), by displaying a simulated state of the system on multiple screens, it is possible to effectively conduct training on a system in which, for example, an operator operates the system while referring to multiple screens, or in which multiple operators operate the system while each referring to a screen.

[0053] (7) In another embodiment, in any one of the above (1) to (6), The second facility is a facility for dealing with specific serious accidents at nuclear power plants, The first facility is the target of response by the specific serious accident response facility.

[0054] According to the above aspect (7), it is possible to preferably carry out training for a nuclear plant equipped with a specific serious accident response facility for responding to a serious accident, etc., that occurs in the nuclear plant. In particular, by simplifying the second calculation model simulating a nuclear plant other than the specific serious accident response facility, which is the subject of the training, as described above, it is possible to preferably reduce the overall model calculation load.

[0055] (8) In another embodiment, in any one of the above (1) to (7), The multiple systems are multiple loops through which the reactor coolant circulates.

[0056] According to the above aspect (8), the first computation model is constructed based on a simplified configuration of a plurality of loops through which the coolant of the reactor circulates, thereby making it possible to effectively reduce the overall computation load.

[0057] (9) A driving training method according to one embodiment includes the steps of: A method for training an operator, comprising: simulating, by using a computational model (M), a system (1) including a first facility (2) and a second facility (4) that is a training subject and that affects the operation of the first facility; The computational model is A first calculation model (M1) that simulates the first facility; A second calculation model (M2) that simulates the second facility; Equipped with The first computational model is constructed based on a configuration of the first facility that is simplified so as to reduce the number of multiple systems that the first facility has.

[0058] According to the above aspect (9), the computation model for simulating the system includes a first computation model and a second computation model. The first computation model simulates a first facility of the system, and the second computation model simulates a second facility, which is a training target and is another configuration of the system that affects the first facility. The first computation model is constructed based on the configuration of the first facility that is simplified so as to reduce the number of multiple systems that the first facility has, thereby effectively reducing the computation load while ensuring simulation accuracy for the second facility that is the training target. This makes it possible to provide high-quality training with high convenience on a wide range of devices, including mobile terminals such as notebook computers. [Explanation of symbols]

[0059] 1 System 2 First equipment 4 Second equipment 6 Nuclear reactor equipment 7. Reactor Containment Vessel 8 nuclear reactor 9 Furnace internals 10 Primary cooling system 12 Pressurizer 13 Relief valve 16 Steam Generator 18 Reactor vessel 20 Primary cooling pump 22. Facilities for dealing with specific serious accidents, etc. 24 Gas turbine generator 26 Filter vent equipment 28 Spray Equipment 100 Driver training device 110 Operation information acquisition unit 120 Model Calculation Unit 130 Calculation result output section 140 Training mode switching section 150 Scenario Playback Section M arithmetic model M1 First calculation model M2 Second calculation model

Claims

1. A model calculation unit for simulating a system including a first facility and a second facility that is a training subject and affects the operation of the first facility using a calculation model; The computational model is A first computation model that simulates the first facility; A second computation model that simulates the second facility; Equipped with The first computation model is constructed based on a configuration of the first facility that is simplified to reduce the number of multiple systems that the first facility has; The second facility is a facility for dealing with specific serious accidents, etc. at a nuclear power plant, The first facility is a driving training device that is the target of response by the specific serious accident response facility.

2. The driving training device according to claim 1 , wherein the first computational model is constructed based on the configuration in which the multiple systems are simplified into one system.

3. a scenario replay unit that simulates operation of the system based on a preset scenario, a switching unit for switching between a simulation of the operation of the system by the scenario reproducing unit and a simulation of the operation of the system by the model calculating unit; A driving training device according to claim 1 or 2, comprising:

4. The driving training device according to claim 3 , wherein the switching unit is configured to switch from the scenario replay unit to the simulation of the operation of the system by the model calculation unit when a predetermined condition is satisfied while the operation of the system is being simulated by the scenario replay unit.

5. 5. The driving training device of claim 4, wherein the predetermined condition includes at least one of: (i) the passage of a preset time; (ii) the performance of a pre-specified operation; or (iii) a parameter related to the operation of the system reaching a preset standard.

6. 6. The driving training device according to claim 1, wherein the simulated state of the system can be displayed on a plurality of screens.

7. 7. The operator training device according to claim 1, wherein the plurality of systems are a plurality of loops through which a coolant of a nuclear reactor circulates.

8. A system including a first facility and a second facility that is a training subject and that affects the operation of the first facility, comprising a model calculation unit for simulating the system using a calculation model; The computational model is A first computation model that simulates the first facility; A second computation model that simulates the second facility; Equipped with The first computation model is constructed based on a configuration of the first facility that is simplified to reduce the number of multiple systems that the first facility has; An operation training device, wherein the multiple systems are multiple loops through which reactor coolant circulates.

9. A method for training an operator to simulate a system including a first facility and a second facility that is a training subject and that affects an operation of the first facility, using a computational model, comprising: The computational model is A first computation model that simulates the first facility; A second computation model that simulates the second facility; Equipped with The first computation model is constructed based on a configuration of the first facility that is simplified to reduce the number of multiple systems that the first facility has; The second facility is a facility for dealing with specific serious accidents, etc. at a nuclear power plant, The first facility is a target of response by the specific serious accident response facility.

10. A method for operation training that uses a computational model to simulate a system including a first facility and a second facility that is a training subject and that affects operation of the first facility, comprising: The computational model is A first computation model that simulates the first facility; A second computation model that simulates the second facility; Equipped with The first computation model is constructed based on a configuration of the first facility that is simplified to reduce the number of multiple systems that the first facility has; The operation training method, wherein the multiple systems are multiple loops through which a coolant of a nuclear reactor circulates.

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