Operation training simulator, operation training simulation method and operation training simulation program

Abstract

To provide an operation training simulator, an operation training simulation method and an operation training simulation program that enable subdivided evaluation.SOLUTION: A plant operation training simulator 50 has a series of plant operation processes that are composed of a plurality of major sections, each of which is composed of one or more medium sections, and comprises a setting unit 51 that sets evaluation criteria for operation training for each medium section, and an evaluation unit 52 that evaluates each major section of operation training based on the evaluation criteria. The plant operation training simulator 50 also has a series of plant operation processes that are composed of a plurality of major sections, and comprises a setting unit 51 that sets one or more screen items as evaluation criteria for operation training for each major section, and an evaluation unit 52 that evaluates the operation training based on whether each screen item is displayed.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present disclosure relates to a driving training simulator, a driving training simulation method, and a driving training simulation program. [Background technology]

[0002] Conventionally, operation training simulators have been developed for use in educating and training operators at power plants such as thermal power plants and nuclear power plants. In operation training simulators, operation training is evaluated based on deviations from model data. For example, Patent Document 1 discloses that model appropriate data for screen switching during plant operation is stored to support operator operations. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-113586 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the invention of Patent Document 1 had a problem in that it did not provide an adequate mechanism for evaluating the validity of monitoring the plant's operating status. In plant operations, plant control devices have become more sophisticated and automated, and operational monitoring has become more important than operational control. Therefore, differences in operational skill tend not to be easily detected in deviations from model appropriate data. Furthermore, conventional plant operator training simulators had the problem that they could not be evaluated unless the entire process, from startup from a completely shut-down state to rated operation, was carried out.

[0005] The present disclosure has been made in consideration of the above circumstances, and aims to provide a driving training simulator, a driving training simulation method, and a driving training simulation program that enable detailed evaluation. [Means for solving the problem]

[0006] In order to solve the above problems, the driving training simulator, driving training simulation method, and driving training simulation program of the present disclosure employ the following means. The operation training simulator of the present disclosure comprises a series of processes for plant operation in a plant, which are composed of a plurality of major divisions, each of which is composed of one or more medium divisions, and includes a setting unit that sets evaluation criteria for operation training for each of the medium divisions, and an evaluation unit that evaluates the operation training for each of the major divisions based on the evaluation criteria.

[0007] The operation training simulator of the present disclosure comprises a setting unit that sets one or more screen items as evaluation criteria for operation training for each of the major divisions, and an evaluation unit that performs evaluation based on whether or not each of the screen items is displayed.

[0008] The operational training simulation method disclosed herein is executed by a computer, and includes a setting step of setting evaluation criteria for operational training for each of the medium divisions, where a series of processes for plant operation in a plant is composed of multiple major divisions, and each of the major divisions is composed of one or more medium divisions, and an evaluation step of evaluating the operational training for each of the major divisions based on the evaluation criteria.

[0009] The driving training simulation program of the present disclosure causes a computer to execute the driving training simulation method described above.

[0010] The operation training simulation method disclosed herein is executed by a computer, and includes a setting step in which a series of processes for plant operation in a plant is composed of multiple major categories, and one or more screen items are set as evaluation criteria for operation training for each of the major categories, and an evaluation step in which evaluation is made based on whether or not each of the screen items is displayed.

[0011] The driving training simulation program of the present disclosure causes a computer to execute the driving training simulation method described above. [Effects of the Invention]

[0012] According to the present disclosure, in the evaluation of a simulation using an operator training simulator, evaluation can be performed for each major category or each medium category, and evaluation can be performed by extracting only one or more major categories. Furthermore, in plant operations where automation is increasing, the validity of operation monitoring can be appropriately evaluated. This is expected to contribute to improving the availability rate of the simulator. [Brief explanation of the drawings]

[0013] [Figure 1a] FIG. 1 illustrates a plant (steam power plant) according to some embodiments of the present disclosure. [Figure 1b] FIG. 1 is a diagram illustrating a plant (GTCC plant) according to some embodiments of the present disclosure. [Figure 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of a control device according to some embodiments of the present disclosure. [Figure 3] FIG. 2 is a diagram illustrating an example of the functionality of a control device according to some embodiments of the present disclosure. [Figure 4] FIG. 1 illustrates breakpoints for a plant in some embodiments of the present disclosure. [Figure 5] FIG. 10 is a diagram showing an example of evaluation of evaluation section Q4 in some embodiments of the present disclosure. [Figure 6] FIG. 1 illustrates an example system diagram according to some embodiments of the present disclosure. [Figure 7]FIG. 1 is a diagram illustrating a sequence block diagram according to some embodiments of the present disclosure. [Figure 8] FIG. 10 illustrates an ALARM / EVENT in some embodiments of the present disclosure. [Figure 9] FIG. 10 is a diagram illustrating an example of a screen for evaluating the validity of the monitoring screen of the evaluation section in some embodiments of the present disclosure. [Figure 10] FIG. 10 illustrates an example of a detailed screen of a breakpoint monitoring screen validity assessment in some embodiments of the present disclosure. [Figure 11] FIG. 10 illustrates an example of a utility evaluation screen in some embodiments of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, an embodiment of an operation training simulator, an operation training simulation method, and an operation training simulation program according to the present disclosure will be described with reference to the drawings.

[0015] Examples of the plant 1 in some embodiments of the present disclosure include a steam power (SP) power plant 1a and a gas turbine combined cycle (GTCC) plant 1b.

[0016] 1a is a diagram showing a steam power plant 1a. The steam power plant 1a includes a boiler 12, a steam turbine 10, a steam turbine generator (first generator) 11, a main steam control valve 13a, a reheat steam control valve 13b, and a condenser 20.

[0017] The boiler 12 of the steam power plant 1a generates steam by exchanging heat between feedwater containing water supplied from a condenser 20 and combustion gas generated by burning fuel. The generated steam (main steam) is introduced into a high-pressure turbine 10a of a steam turbine 10 and used to drive the steam turbine 10, and then supplied to a reheater (not shown) of the boiler 12 and resuperheated. The resuperheated steam (reheated steam) is introduced into a low-pressure turbine 10b of the steam turbine 10 and used to drive the steam turbine 10. The rotation of the steam turbine 10 causes a steam turbine generator 11 to generate electricity, and this generated electricity is sent to, for example, a power supply system (not shown). The steam used in the steam turbine 10 is returned to water in a condenser 20 and supplied to the boiler 12.

[0018] The combustion gas that has completed heat exchange in the boiler 12 is subjected to treatments such as denitration and desulfurization and then released into the atmosphere.

[0019] A steam turbine 10 of a steam power plant 1a rotates using steam generated in a boiler 12. A main steam control valve 13a and a reheat steam control valve 13b for adjusting the amount of steam supplied to the steam turbine 10 are provided in a steam pipe between the boiler 12 and the steam turbine 10.

[0020] 1b shows a GTCC plant 1b. The GTCC plant 1b includes a steam turbine 10, a steam turbine generator 11, a main steam control valve 13a, a reheat steam control valve 13b, a gas turbine 14, a gas turbine generator (second generator) 16, a heat recovery steam generator (HRSG) 17, and a condenser 20.

[0021] The gas turbine 14 of the GTCC plant 1b includes a compressor 18, a combustor 15, and a turbine 19, and the compressor 18 and the turbine 19 are connected by a rotating shaft. Compressed air is supplied to the combustor 15. The combustor 15 generates combustion gas by mixing the compressed air with fuel and burning it, and supplies the generated combustion gas to the turbine 19. The turbine 19 rotates a rotating shaft using the supplied combustion gas, thereby rotating and driving the gas turbine generator 16. This generated power is sent to, for example, a power supply system (not shown).

[0022] The heat recovery steam generator 17 of the GTCC plant 1b generates steam by exchanging heat between feedwater containing water supplied from a condenser 20 and combustion gas supplied from a gas turbine 14. The generated steam (main steam) is introduced into a high-pressure turbine 10a of a steam turbine 10 and used to drive the steam turbine 10, and then supplied to a reheater (not shown) of the heat recovery steam generator 17 and resuperheated. The resuperheated steam (reheated steam) is introduced into a low-pressure turbine 10b of the steam turbine 10 and used to drive the steam turbine 10. The rotation of the steam turbine 10 causes a steam turbine generator 11 to generate electricity, and the generated electricity is sent to, for example, a power supply system (not shown). The steam used in the steam turbine 10 is returned to water in a condenser 20 and supplied to the heat recovery steam generator 17. The combustion gas that has completed the heat exchange in the heat recovery boiler 17 is subjected to treatments such as denitration and desulfurization, and then released into the atmosphere.

[0023] The steam turbine 10 of the GTCC plant 1b rotates using steam generated in a heat recovery steam generator 17. A main steam control valve 13a and a reheat steam control valve 13b for adjusting the amount of steam supplied to the steam turbine 10 are provided in the steam piping between the heat recovery steam generator 17 and the steam turbine 10.

[0024] Next, an explanation will be given of an operation training simulator 50 for performing operation simulations in operation training for the plant 1. In training of operators (trainees) who will operate the plant 1, the operators use the operation training simulator 50 to simulate operation of the plant 1, and an evaluator such as a lecturer evaluates the operator's operation results based on the results. The evaluation is converted into a score.

[0025] FIG. 2 is a diagram illustrating an example of a hardware configuration of a driving training simulator according to some embodiments of the present disclosure. 2, the driving training simulator (Controller) 50 is a computer system including, for example, a CPU (Central Processing Unit: Processor) 1100, a secondary storage device (ROM, Secondary storage: Memory) 1200, a main storage device (RAM, Main Memory) 1300, a hard disk drive (HDD) 1400 as a large-capacity storage device, and a communication unit 1500 for connecting to a network or the like. Note that a solid-state drive (SSD) may also be used as the large-capacity storage device. These units are connected via a bus 1800.

[0026] The CPU 1100 controls the entire driving training simulator 50 using, for example, an OS (Operating System) stored in a secondary storage device 1200 connected via a bus 1800, and performs various processes by executing various programs stored in the secondary storage device 1200. One or more CPUs 1100 may be provided, and may implement processes in cooperation with each other.

[0027] The main memory device 1300 is composed of writable memory such as cache memory, RAM (Random Access Memory), etc., and is used as a working area for reading out programs executed by the CPU 1100 and writing data processed by the programs.

[0028] The secondary storage device 1200 is a non-transitory computer-readable storage medium. Examples of the secondary storage device 1200 include a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, and a semiconductor memory. Examples of the secondary storage device 1200 include a read-only memory (ROM), a hard disk drive (HDD), and a solid-state drive (SSD) flash memory. The secondary storage device 1200 stores, for example, an operating system (OS) for controlling the entire information processing device, such as Windows (registered trademark), iOS (registered trademark), or Android (registered trademark), a basic input / output system (BIOS), various device drivers for operating peripheral devices, various application software, and various data and files. The secondary storage device 1200 also stores programs for implementing various processes and various data required for implementing the various processes. A plurality of secondary storage devices 1200 may be provided, and the above-described programs and data may be stored separately in each secondary storage device 1200.

[0029] The driving training simulator 50 may also include an input unit such as a keyboard and a mouse, a display unit such as a liquid crystal display device that displays data, etc. The simulator may also include a notification unit such as a display unit, a lamp, and a speaker that outputs sound, especially an alarm sound.

[0030] FIG. 3 is a diagram illustrating an example of the functionality of a control device in some embodiments of the present disclosure. As shown in FIG. 3, the driving training simulator 50 includes a setting unit 51, an evaluation unit 52, and a calculation unit 53.

[0031] An operation training simulator 50 according to an embodiment of the present disclosure is a simulator that simulates the behavior of a plant 1, for example, a power plant. A user performs a simulation to train in plant operation. The user can obtain an evaluation of the simulation by comparing (discrepancy between) data resulting from the simulated plant operation and model data. The closer the data resulting from the simulated plant operation is to the model data, the higher the evaluation.

[0032] A series of processes for realizing the functions of the driving training simulator 50 is stored in the form of a program in the secondary storage device 1200 (see FIG. 2), for example, and the CPU (processor) 1100 (see FIG. 2) reads this program into the main storage device 1300 (see FIG. 2) and executes information processing and arithmetic processing to realize various functions. Note that the program may be pre-installed in the secondary storage device 1200, provided in a state stored in another non-transitory computer-readable storage medium, or distributed via wired or wireless communication means. Examples of non-transitory computer-readable storage media include magnetic disks, magneto-optical disks, CD-ROMs, DVD-ROMs, and semiconductor memories.

[0033] 3, a series of processes for plant operation is composed of multiple major divisions, each of which is composed of one or more medium divisions, and the setting unit 51 sets evaluation criteria for process values ​​for operation training (simulation) for each medium division. In this disclosure, the major divisions are breakpoints and the medium divisions are evaluation intervals. The breakpoints (major divisions) and evaluation intervals (medium divisions) for a series of processes will be described later.

[0034] The evaluation unit 52 evaluates each major category of process values ​​in the operation training based on the evaluation criteria set by the setting unit 51.

[0035] The calculation unit 53 performs calculations to convert utilities used in the processes of the plant 1, such as the in-plant power (electric energy), fuel consumption, and injected chemical amounts, into monetary amounts.

[0036] FIG. 4 is a diagram illustrating breakpoints of the plant 1 (steam power plant 1a) according to some embodiments of the present disclosure. 4 shows a series of processes (operations) of the plant 1. In the present disclosure, it is assumed that the series of processes are from the start-up of the plant 1 from a completely stopped state to rated operation.

[0037] As shown in FIG. 4 , in an embodiment of the present disclosure, the setting unit 51 divides a series of processes into 12 breakpoints. A breakpoint is a grouping of operations that can be divided in a series of actions into a single section from start to completion. When one breakpoint is completed, the next breakpoint can be operated, allowing for continuous driving training (driving monitoring training). In an embodiment of the present disclosure, when one breakpoint is completed, the next breakpoint is triggered by a user operation such as pressing a button.

[0038] In an embodiment of the present disclosure, the breakpoints are divided into 12 breakpoints: "Startup preparation / circulating water system startup", "Condensate cleanup", "Low pressure cleanup", "Boiler cleanup", "Ignition preparation", "Ignition / Temperature increase / Pressure increase", "Ventilation preparation", "Ventilation / Speed ​​increase", "Parallel / Initial load", "Load increase 1", "Load increase 2", and "Load increase 3".

[0039] Furthermore, in an embodiment of the present disclosure, the setting unit 51 further divides breakpoints that can be subdivided. For example, for the breakpoint "Startup Preparation / Circulating Water System Startup," five events, A1, A2, A3, A4, and A5, are listed as major events within the breakpoint. Of these, major events A1, A2, and A3 are events that can be grouped, and the setting unit 51 sets these as evaluation interval (medium section) Q1. Furthermore, A4 is listed as evaluation interval Q2, and A5 is listed as evaluation interval Q3. Furthermore, for the breakpoint "Condensate Cleanup," five events, B1, B2, B3, B4, and B5, are listed as major events within the breakpoint. Of these, the setting unit 51 sets major events B1, B2, and B3 as evaluation interval Q4, and B4 and B5 as evaluation interval Q5.

[0040] One evaluation interval Q may correspond to one breakpoint, or multiple evaluation intervals Q may correspond to one breakpoint. Furthermore, the evaluation interval Q may include one main event, or multiple main events.

[0041] As described above, when one breakpoint is completed, the next breakpoint can be started, and therefore the evaluation unit 52 can compare (discrepancy) the process value for the operation training with the model data for the process value for each breakpoint and perform evaluation. It is also possible to perform evaluation across multiple consecutive breakpoints. The smallest unit for comparison with the model data is each breakpoint.

[0042] FIG. 5 is a diagram showing a screen of an evaluation example of the evaluation section Q4 in some embodiments of the present disclosure. The evaluation unit 52 of the operation training simulator 50 evaluates the validity of operation monitoring (monitoring screen validity evaluation) in addition to evaluation using the deviation of process values ​​from model data. Specifically, at each breakpoint or each evaluation interval Q, the evaluation unit 52 evaluates whether monitoring items such as process values ​​and trends to be monitored were confirmed based on whether pre-set screen items were displayed on the screen. The pre-set screen items are selected and set from various screens that can be displayed during the operation of the plant 1, such as system diagrams, block diagrams, alarm screens, event screens, and trend graphs. Since the evaluation of monitoring screen validity is based on the timing at which the screen items are displayed, evaluation is possible not only at each breakpoint but also at each evaluation interval Q. In other words, the smallest unit of monitoring screen validity evaluation is each evaluation interval Q.

[0043] The left diagram in FIG. 5 displays a list of pre-set screen items for evaluation section Q4. In the evaluation section Q4 at the breakpoint "Condensate cleanup," the screen items configured are the system diagrams for the "Make-up water system," "Condensate system," "Condenser drain system," "Condensate and low-pressure cleanup overall system," and "Chemical injection system," the sequence block diagrams for "APS unit startup process progress" and "APS unit startup console," and the ALARM / EVENT (alarm / event list) for "Event list" and "Alarm summary." Here, APS stands for automatic plant startup and shutdown system.

[0044] FIG. 6 is a diagram illustrating an example of a system diagram according to some embodiments of the present disclosure. As shown in FIG. 6, the system diagram 101 displays each system representing the whole or part of the plant 1.

[0045] FIG. 7 is a diagram illustrating a sequence block diagram according to some embodiments of the present disclosure. As shown in FIG. 7, the sequence block diagram 102 displays each block diagram showing the flow of control in the operation of the plant 1.

[0046] FIG. 8 is a diagram illustrating ALARM / EVENT in some embodiments of the present disclosure. As shown in FIG. 8, in ALARM / EVENT 103, warnings and events that have occurred during the operation of plant 1 are displayed in a list.

[0047] Each preset screen item may be weighted according to its importance (the degree to which it is necessary to display the screen), as shown in the left diagram of Fig. 5. Each screen item includes screens that must be displayed and screens that are preferably displayed. In this case, for example, the weighting for a screen that must be displayed is "1," the weighting for a screen that is preferably displayed is "0.7," and the weighting for a screen that does not necessarily need to be displayed (whether it is necessary to display it or not) is "0.5."

[0048] The weighting value is not limited to this example, and may be set to decrease toward 0.0 as the degree of necessity for displaying the screen decreases, depending on the degree of necessity. The weighting value may also be changeable.

[0049] The evaluation unit 52 determines whether or not preset screen items are displayed on the screen, as shown in the right diagram of Fig. 5. In the embodiment of the present disclosure, "Condensate system," "Condenser drain system," "Condensate and low-pressure cleanup overall system," "APS unit startup process progress," and "Event list" are marked with "○," meaning that they are displayed on the screen, while "Make-up water system," "Chemical injection system," "APS unit startup console," and "Alarm summary" are marked with "×," meaning that they are not displayed on the screen.

[0050] The condition for determining whether a preset screen item is displayed on the screen may be that it has been displayed on the screen for a predetermined period of time. In this case, the predetermined period of time may be changeable.

[0051] The pre-set screen items may be set based on model operation results of the plant 1, which are acquired as teacher data. The settings may be automatically set by the setting unit 51, or may be manually set by the user via the setting unit 51.

[0052] The evaluation unit 52 calculates the ratio of the screen items displayed on the screen to the total number of preset screen items, and converts this into a score. In the case of Figure 5, the value when all of the preset screen items are displayed is 1 + 1 + 0.7 + 1 + 1 + 1 + 1 + 0.7 + 0.5 = 7.9, and the value of the screen items displayed on the screen is 1 + 0.7 + 1 + 1 + 0.7 = 4.4, so the ratio is approximately 55.7%. If 100% is 100 points, the ratio is rounded to the nearest integer, and the user's score (scoring result) is 56 points.

[0053] FIG. 9 is a diagram illustrating an example of a screen for evaluating the validity of the monitoring screen of the evaluation section according to some embodiments of the present disclosure. As shown in Fig. 9, the summary screen displays the scoring results as numerical values ​​and bar graphs for each evaluation section Q. Also, major events are displayed for each evaluation section Q, and the evaluation sections Q are grouped and displayed by breakpoint.

[0054] 9, the bar graphs and score display portions for evaluation sections Q with high scores (for example, 90 points or more) and evaluation sections Q with low scores (for example, 60 points or less) may be displayed in different colors, thereby improving visibility.

[0055] Furthermore, it may be possible to transition to a detailed screen so that the breakdown of the scores for each evaluation section Q can be confirmed. For example, a "Details" button may be displayed near the display in Fig. 9, and pressing the "Details" button will transition to a detailed screen for the monitoring screen validity evaluation.

[0056] If the monitoring screen validity evaluation is performed only for some breakpoints or evaluation section Q, the scoring results for only the relevant breakpoints or evaluation section Q will be displayed. Other items may be left blank, or the items themselves may not be displayed.

[0057] FIG. 10 is a diagram illustrating an example of a detailed screen of a breakpoint monitoring screen validity evaluation according to some embodiments of the present disclosure. Figure 10 shows the detailed screen of the monitoring screen validity evaluation for the breakpoint "Condensate cleanup." Since "Condensate cleanup" includes two evaluation sections Q, evaluation section Q4 and evaluation section Q5, the evaluation results of "Condensate cleanup (1)" for evaluation section Q4 and "Condensate cleanup (2)" for evaluation section Q5 are displayed.

[0058] Of the preset screen items, the screen items that are displayed on the screen are marked as "confirmed," and the screen items that are not displayed on the screen are marked as "unconfirmed."

[0059] When training is performed for all breakpoints (12 breakpoints in the embodiment of the present disclosure) and evaluation is carried out, the monitoring screen validity evaluation for each of the 12 breakpoints is displayed in a list.

[0060] The driver training simulator 50 may also perform a utility evaluation. The calculation unit 53 performs calculations to convert utilities used in the process of the plant 1, such as the in-plant power (electric energy), fuel consumption, and injected chemical amounts, into monetary terms, and displays the calculation results as utility evaluations.

[0061] FIG. 11 is a diagram illustrating an example of a utility evaluation screen according to some embodiments of the present disclosure. As shown in FIG. 11, each successive breakpoint is displayed on the bottom line. Above that, each utility amount for each breakpoint is displayed. The utility amounts displayed are "in-plant power (MWh)," "heavy oil consumption (kg)," "coal consumption (tons)," "chemical ammonia consumption (kg)," and "oxygen consumption (ML)." For each breakpoint, the utility amounts displayed are "training operation," which is the result of plant operation training (numerical values, consumption amounts), "model operation," which is the result of model operation (numerical values, consumption amounts), and "deviation," which is the result of training operation and model operation converted into monetary value by calculation unit 53.

[0062] The utility amount is an indispensable index for the economical and stable operation of the plant 1, and in addition to the items mentioned above, examples of the utility amount include the amount of hydrazine consumed.

[0063] The calculation unit 53 calculates the deviation between the numerical value of "training driving" and the numerical value of "model driving", calculates the product of the deviation and the standard price per unit amount of each utility amount set in advance, and sets and displays the deviation. Based on the calculation result of the calculation unit 53, the evaluation unit 52 performs an evaluation.

[0064] The base price per unit amount may be a fixed value or may be set by the user. It may be displayed in a currency other than yen in combination with a currency rate. The base price per unit amount and currency rate may be obtained sequentially from an external source via a network.

[0065] By using the calculation unit 53, evaluation can be performed in monetary terms that can be intuitively recognized by the user, whereas evaluation was conventionally performed in terms of consumption amount.

[0066] The "deviation" is a positive value when the numerical value of "training driving" is smaller than the numerical value of "model driving", and is a negative value when the numerical value of "training driving" is larger than the numerical value of "model driving".

[0067] Furthermore, above that, a bar graph is displayed showing the deviation from the model driving as a positive or negative value with the "deviation" being set at 0 yen. The bar graph may be displayed in different colors or other ways depending on whether the value is positive or negative or the deviation from 0.

[0068] In the above-described embodiment, normal or basic operation training is conducted at some or all of the breakpoints, but training may also be conducted by combining pre-registered malfunction groups (scenarios in which the system cannot function normally or an abnormality occurs).

[0069] When a malfunction group is combined, actual operations after an abnormality occurs can be performed on the operator training simulator 50. In this case, it is possible to train the movement to the site, confirmation of the location of the target equipment, operation on the screen, etc., which will be performed in actual operation. For example, movement to the site can be performed by displaying a map, confirming the route using videos or images, etc. The location of the target equipment can be confirmed by displaying images or videos, etc. Operation on the screen can be performed by displaying a simulated screen, etc.

[0070] Even when malfunction groups are combined, the evaluation unit 52 can compare (deviate) with model data for each breakpoint and perform evaluation. Evaluation can also be performed across multiple consecutive breakpoints. The smallest unit for comparison with model data is each breakpoint. Regarding the evaluation of the validity of the monitoring screen, evaluation is possible for each evaluation interval Q in addition to evaluation at each breakpoint.

[0071] The model data used in the evaluation by the evaluation unit 52 is set for each malfunction group (abnormality occurrence scenario). When the breakpoints to be evaluated have been determined, it is sufficient to set an abnormality occurrence scenario for the corresponding breakpoints.

[0072] <Additional Notes> The driving training simulator, driving training simulation method, and driving training simulation program described in the above-described embodiments can be understood, for example, as follows.

[0073] An operation training simulator (50) according to a first aspect of the present disclosure includes a setting unit (51) that sets evaluation criteria for operation training for each of the medium divisions, and an evaluation unit (52) that evaluates the operation training for each of the large divisions based on the evaluation criteria, in which a series of processes for plant operation in a plant (1) are composed of a plurality of large divisions, each of the large divisions being composed of one or more medium divisions.

[0074] In the evaluation of a simulation using an operator training simulator, evaluation can be performed for each major or medium category. Conventionally, evaluation was performed only after the entire series of processes had been carried out, but with this disclosure, evaluation can be performed by extracting only one or more major categories, which is expected to contribute to improving the operating rate of the simulator.

[0075] An operation training simulator (50) according to a second aspect of the present disclosure includes a setting unit (51) that sets one or more screen items as evaluation criteria for operation training for each of the major sections, and an evaluation unit (52) that performs evaluation based on whether or not each of the screen items is displayed.

[0076] When evaluating a simulation using an operator training simulator, it is possible to evaluate whether or not the screen items necessary for operation monitoring are displayed. In increasingly automated plant operations, this allows for appropriate evaluation of the validity of operation monitoring, and makes it easy to confirm numerically the improvement in skills through repeated training. This is expected to increase users' motivation for the next training session and contribute to improving the simulator's availability.

[0077] In a driving training simulator of a third aspect of the present disclosure, in the first aspect, the setting unit may set one or more screen items as the evaluation criteria for driving training for each of the intermediate categories, and the evaluation unit may perform evaluation based on whether or not each of the screen items is displayed.

[0078] In the driving training simulator of a fourth aspect of the present disclosure, in either the second aspect or the third aspect, the setting unit may set a weight for each of the screen items, and the evaluation unit may perform evaluation based on the weight and whether each of the screen items is displayed.

[0079] By setting a weight for each screen item, it is possible to perform a more accurate evaluation according to the importance of each screen item.

[0080] In the driving training simulator of a fifth aspect of the present disclosure, in the fourth aspect, the setting unit may be configured to enable setting of the weighting to be changed.

[0081] The weighting can be changed, allowing the importance of each screen item to be changed depending on the event, enabling more accurate evaluation.

[0082] In the operation training simulator of a sixth aspect of the present disclosure, in the fourth or fifth aspect, the setting unit may acquire an exemplary operation result of the plant, and set the screen items and the weighting based on the exemplary operation result.

[0083] Model driving results can be obtained and used as a basis for evaluating driving training. Model driving results can be obtained according to the driving situation, and evaluation criteria can be set for each user, allowing for flexible customization.

[0084] The operation training simulator of a seventh aspect of the present disclosure may be configured in any one of the first to sixth aspects to include a calculation unit (53) that converts a process value used in the process into a monetary amount, and the evaluation unit may perform evaluation based on the monetary amount of the process value calculated by the calculation unit.

[0085] Since the process values ​​are converted into monetary values ​​and evaluated, it is possible to perform evaluations to ensure the economical and stable operation of the plant.

[0086] In the driving training simulator of an eighth aspect of the present disclosure, in any one of the first to seventh aspects, the setting unit may set a scenario prepared in advance or an abnormality occurrence scenario.

[0087] By setting a scenario, operational training can be conducted and evaluated according to the scenario. Furthermore, operational training can be conducted in preparation for abnormalities that may actually occur.

[0088] An operation training simulator according to a ninth aspect of the present disclosure may be configured in the eighth aspect, wherein the setting unit acquires model operation results of the plant and sets the model operation results for each scenario.

[0089] By setting model driving results for each scenario, driving training can be conducted according to the scenario, and the model driving results can be evaluated, allowing any deviation from the model to be confirmed.

[0090] An operator training simulation method according to a tenth aspect of the present disclosure is executed by a computer, in which a series of processes for plant operation in a plant is composed of a plurality of major divisions, each of which is composed of one or more medium divisions, and the method comprises: a setting step of setting evaluation criteria for operator training for each of the medium divisions; and an evaluation step of evaluating the operator training for each of the major divisions based on the evaluation criteria.

[0091] An operation training simulation program according to an eleventh aspect of the present disclosure causes a computer to execute the operation training simulation method according to the tenth aspect.

[0092] An operation training simulation method according to a twelfth aspect of the present disclosure is executed by a computer, and includes a setting step in which a series of processes for plant operation in a plant is composed of a plurality of major sections, and one or more screen items are set as evaluation criteria for operation training for each of the major sections, and an evaluation step in which evaluation is made based on whether or not each of the screen items is displayed.

[0093] A driving training simulation program according to a thirteenth aspect of the present disclosure causes a computer to execute the driving training simulation method according to the twelfth aspect. [Explanation of symbols]

[0094] 1. Plant 1a Steam power plant 1b GTCC plant 10. Steam turbine 10a High-pressure turbine 10b Low-pressure turbine 11 Steam turbine generator (No. 1 generator) 12 Boiler 13a Main steam control valve 13b Reheat steam control valve 14 Gas turbine 15 Combustor 16 Gas turbine generator (second generator) 17. Heat recovery steam generator (HRSG) 18 Compressor 19 Turbine 20 Condenser 50 Driving Training Simulator 51 Setting section 52 Evaluation Department 53 Arithmetic section 1100 CPU 1200 Secondary storage 1300 Main storage 1500 Communications Department 1800 Bus

Claims

1. The series of processes in plant operation are divided into several major sections, Each of the large divisions is composed of one or more medium divisions, a setting unit that sets evaluation criteria for the driving training for each of the intermediate categories; an evaluation unit that evaluates each of the major categories of the driving training based on the evaluation criteria.

2. The series of processes in plant operation are divided into several major sections, a setting unit that sets one or more screen items as evaluation criteria for the driving training for each of the major categories; an evaluation unit that performs evaluation based on whether or not each of the screen items is displayed.

3. the setting unit sets one or more screen items as the evaluation criteria for the driving training for each of the medium categories, The driving training simulator according to claim 1 , wherein the evaluation unit performs the evaluation based on whether or not each of the screen items is displayed.

4. the setting unit sets a weight for each of the screen items; 4. The driving training simulator according to claim 2, wherein the evaluation unit performs evaluation based on the weighting and whether or not each of the screen items is displayed.

5. The driving training simulator according to claim 4 , wherein the setting unit allows the weighting to be changed.

6. The operator training simulator according to claim 4 , wherein the setting unit acquires model operation results of the plant, and sets the screen items and the weightings based on the model operation results.

7. a calculation unit that converts a process value used in the process into a monetary amount, 3. The operator training simulator according to claim 1, wherein the evaluation unit performs evaluation based on a monetary value of the process value calculated by the calculation unit.

8. 3. The driving training simulator according to claim 1, wherein the setting unit sets a prepared scenario or an abnormality occurrence scenario.

9. 3. The operator training simulator according to claim 1, wherein the setting unit acquires model operation results of the plant and sets the model operation results for each scenario.

10. The series of processes in plant operation are divided into several major sections, Each of the large divisions is composed of one or more medium divisions, a setting step of setting evaluation criteria for the driving training for each of the intermediate categories; and an evaluation step of evaluating each of the major categories of the driving training based on the evaluation criteria.

11. A driving training simulation program for causing a computer to execute the driving training simulation method according to claim 10.

12. The series of processes in plant operation are divided into several major sections, a setting step of setting one or more screen items as evaluation criteria for the driving training for each of the major categories; and an evaluation step of performing an evaluation based on whether or not each of the screen items is displayed.

13. A driving training simulation program for causing a computer to execute the driving training simulation method according to claim 12.

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