JPH03288882A - Operation training simulator device - Google Patents

Abstract

PURPOSE:To attain accurate characteristic evaluation and effective training by shifting the time axis of a reference data curve so as to be matched with a process value based upon the contents of operation and resetting the reference data when the process value once exceeds the allowable range of the reference data. CONSTITUTION:When the light of an alarm display lamp is instructed from an operation control part 3 to a simulated result output part 9 at the time of detecting that the process value exceeds the regulated allowable range, a reference data resetting part 10 finds out which point on the reference data curve stored in a reference data storage part 7 forms the process value by moving the time axis to reset the reference data. At the time of completing all running operation specified from an operation switch 1a, an operation evaluation part 8 extracts a deviation integration value integral DELTAv in an operation process from a deviation storage part 6 and evaluates whether the running result of a trainee has a level difference from ideal operation data or not and the evaluated result is outputted from a simulated result output part 9 to a CRT display device 1d or a printer 1a to inform the operation result. Consequently, the operation level of the trainee is accurately recognized.

Description

[Detailed Description of the Invention] [Objective of the Invention] (Industrial Application Field) The present invention is based on the deviation between a simulated process quantity obtained by a simulation reproduction of a trainee and the corresponding standard data. The present invention relates to a driving training simulator device that can evaluate the driving level of a trainee.

(Prior Art) Conventionally, in operation training simulator devices for thermal power, nuclear power, hydroelectric power plants, chemical plants, etc., the following method has been used to evaluate the operation level of trainees.

That is, FIG. 5 shows a block diagram of an example of a conventional driving training simulator, in which the arithmetic and control unit 3 receives operation content S1 given from the operation switch Ia in the driving operation panel 1 via the conversion content input unit 2. In response to this, the main steam pressure calculation formula is imported from the simulated content storage unit 4, the process amount Pv of the main steam pressure is calculated, and further compared with the standard data Nv of the main steam pressure retrieved from the standard data storage unit 7, It is determined whether the process amount Pv exceeds the allowable range with respect to the standard data Nv.

Figure 3 shows a part of the curve of the main steam pressure, which is one of the main process quantities in plant operation, at plant startup, where Nv is the standard data curve and Pv is the process quantity according to the operation results of the trainee. , and LVO+LV□ are an upper limit tolerance range and a lower limit tolerance range that indicate the tolerance range when comparing the standard data Nv and the process amount Pν, respectively.

Generally, in plant operation training simulator equipment,
Standard data Nv shown in FIG. 3, upper limit tolerance range 1-vo,
and the lower limit tolerance range LV is the actual plant operation result,
Alternatively, it is determined based on data obtained when a skilled operator drives using a driving training simulator device, or based on design values.

As a result of the above comparison, as in each region a to e shown in FIG. 3, if the process amount Pv exceeds the allowable range with respect to the standard data Nv, that is, Pv)Nv+LyO1 or Pv<Nv Lv□ In this case, the process quantity Pv is determined to be outside the tolerance range compared to the standard data Nv, the number of tolerance deviations is counted up by 1, and the process quantity Pv and the tolerance upper limit value (Nv+Lvo) or the tolerance lower limit value ( The deviation value Δνa from NV-Lvl) is calculated.

The driving evaluation unit 8 determines when the above-mentioned state outside the allowable range occurs.
The deviation value Δνa is integrated and stored in the deviation value storage unit 6 as a deviation integral value fΔV.

On the other hand, when the trainee has completed all driving operations, the driving evaluation unit 8 takes out the deviation integral value fΔV and the number of deviations from the allowable range, and outputs the result to the CRT via the simulated result output unit 9 as the driving evaluation result S3 of the current trainee. It is displayed on the display 1d.

In the example of Fig. 3, the total deviation integral value f in the driving process is
ΔV is the area a, b, and c where the deviation occurred.

It is the sum of the integral values of the deviations of d and e, and the deviation integral value fΔy= l f fpva − f fn
va 1 f fpvb - / fnvb 1 f fpvc - f fnvc 1 f fpvd / fnvd 1 / fpve f fnve.

As mentioned above, in the conventional driving training simulator device having an evaluation function, the plant data resulting from the operation by the trainee and the ideal standard data during the simulated operation are compared during the operation process, and the integral value of the deviation, The number of deviations from the allowable range that occurred during the driving process is saved, and after the driving is completed, these data are displayed on the CRT display [d] to ascertain the driving level of the trainee.

(Problem to be Solved by the Invention) However, in the above-mentioned conventional method, even if the process amount as the operation result changes at almost the same rate as the standard data, as shown in part e of Fig. 3, the permissible range of the standard data is Since it deviates from the above, the integral value of the deviation increases, and even though the driver is driving correctly, the deviation is evaluated as large, and therefore, there is a problem that correct evaluation cannot be made.

The present invention automatically rewrites the standard data to match the current process amount when the process amount due to the operation of the trainee deviates from the allowable range of the standard data when training the plant operation II + practice for the trainee. By setting it, you can make the driving level of the trainee more correct! ! The purpose of the present invention is to provide a rational driving training simulator device that enables driving training.

[Structure of the invention]

(Means and effects for solving the problem) In order to achieve the above object, the present invention provides a function to simulate multiple process quantities of a plant and output the calculation results to a CRT display or meter. A driving training simulator device comprising: an operation content manual unit for inputting the operation content from the input device; a simulation content storage unit for storing the operation content input by the operation content input unit; and the operation content and the simulation content. an arithmetic control unit that performs a simulation calculation based on the simulated content imported from the storage unit and calculates the process amount, a standard data storage unit that stores standard data corresponding to the process amount in advance, 5 the calculated process amount, and 4Fl.
i# Calculate the deviation from the standard data stored in the data storage unit, and when the deviation exceeds the allowable range, set the standard data 11 so that the standard pig matches the process amount at that time.
11. A standard data resetting unit that shifts the time axis of W, a deviation value storage unit that stores the integral value of the deviation, and a simulation result output that outputs the results of simulation calculations and operation evaluation results to a CRT display, printer, etc. It compares the standard data curve of the trainee's operation process with the process amount by the trainee's operation, and when the deviation deviates from the allowable range, it counts up the number of deviations and calculates the process amount at that point. Calculate the value at which point on the standard data curve, shift the time axis of the standard data, reset the standard data, and continue the operation. This enables accurate training evaluation.
The aim is to improve training effectiveness.

(Embodiment) FIG. 1 is a block diagram showing an embodiment of a driving training simulator device according to the present invention, and the same reference numerals as in the block diagram of the conventional driving training simulator device shown in FIG. 5 are used. ing. Further, FIG. 2 is a flowchart showing the processing procedure of the driving training simulator device according to the present invention.

In Fig. 1, reference numeral 1 denotes a driving operation panel used by trainees for driving training, which includes an operation switch 1a for operating the operating end, and an alarm display lamp t for displaying an alarm.
b, a display meter IC for displaying process quantities such as temperature, flow rate, and pressure, a CRT display 1d for displaying plant system diagrams and trends of state quantities, a printer LE for outputting operation results, etc. be.

2 is the operation details S from the operation switch la on the operation panel 1
4 is a simulated content storage unit that stores simulated content based on the operation csSl input by the operation content input unit 2; 3 is a simulated content storage unit 4 based on the operation content S1; 7 is a process variable that takes in simulated contents from the computer and performs a simulated calculation, and compares the obtained process quantity with the upper/lower limit values retrieved from the simulated content storage unit 4 to determine whether or not there is an alarm state; 7 is a process quantity; 8 is a standard data storage section that stores ideal operation data of the standard data storage section 7; 8 is an operation evaluation section that performs operation evaluation by comparing process quantities with standard data stored in the standard data storage section 7; 9 is a simulation calculation result and The simulation result output unit IO outputs the operation evaluation result S3 to the CRT display 1d or the printer le, and the operation evaluation unit 8 determines that the process amount is outside the allowable range as a result of the comparison calculation. This is a standard data resetting unit that resets the standard data stored in the standard data storage unit 7 when the standard data is stored in the standard data storage unit 7.

Next, the operation of the driving training simulator configured as described above will be explained with reference to the flowchart of FIG. 2.

First, the trainer sets standard data suitable for the training content (process 31) and begins driving training.

Operation details S1 input by the trainee from the operation switch 1a
is taken into the calculation control unit 4 from the operation content input unit 2 (process 32), and the calculation control unit 3 inputs the temperature, temperature,
Process quantities such as flow rate and pressure are calculated (process 33).

The arithmetic control unit 3 also determines the presence or absence of an alarm state according to the process amount (step 34), and instructs the alarm display lamp lb to be turned on/off. Furthermore, when the process amount deviates from the specified allowable range (YES in process 34) and instructs the simulation result output unit 9 to turn on the alarm display lamp, the arithmetic control unit 3 simultaneously sends an instruction to the alarm occurrence number storage unit 7. Then, an instruction is given to increment the alarm occurrence number storage unit by 1, and l is added to the alarm occurrence number signal S4 (processing 36).

The standard data resetting unit 10 moves the time axis to determine at what point the current process amount can deviate from the standard data curve in the standard data storage unit 7, and resets the standard data (processing 37).

On the other hand, the operation evaluation section 8 takes in the process amount Pv calculated by the arithmetic control section 3, and retrieves standard data NV corresponding to the process amount in the current plant state from the standard data storage section 7.

Compare the cursed process amount 1]v and the standard data Nv,
The deviation value ΔV is integrated, and the deviation integral value fΔV is stored in the deviation value storage unit 6 (processing 35).

Furthermore, when all driving operations from the operation switch la are completed (NO in process 38), the driving evaluation unit 8 retrieves the driving process deviation integral value fΔν from the deviation storage unit 6, and uses this data to determine the driving result of the trainee. evaluates whether there is a difference in degree from ideal driving data, etc., and sends this to the simulation result output section 9 as the driving evaluation result S3, and from the simulation result output section 9 to C.
The driving result is notified to the trainee by outputting it to the RT display 1d or printer la (process 39).
.

Examples of evaluation scoring include determining the degree of point deduction depending on the magnitude of the deviation integral value fΔV, or increasing the degree of point deduction when standard data is reset in the same direction two or more times. I do.

Figure 4 shows the case where this example is applied to the operation data of a trainee who performed the same operation as in Figure 3 above, and the process amount is within the allowable range of the standard data at points 1 to 3 of standard data resetting. We are resetting standard data due to deviations.
In response to this, evaluation and scoring as described above is performed.

As mentioned above, in the operation training simulator device of this embodiment, the plant data resulting from the operation by the trainee,
The ideal standard data during Model II operation is the integration result of each deviation during the operation process, and the number of deviations from the allowable range that occurred during the operation process is saved as the number of alarm occurrences, so after the operation is completed, based on these data. The driving results of the trainees are evaluated and displayed on the CRT display 1d.

By printing out the information on the printer 18, the trainee can easily grasp his or her own driving level, and it becomes possible to carry out more effective training.

〔Effect of the invention〕

As explained above, according to the present invention, if the process amount based on the trainee's operation content once deviates from the allowable range of standard data, the process amount based on the trainee's operation content at that time is adjusted. By shifting the time axis of the standard data curve and resetting the standard data, it is possible to more accurately evaluate the characteristics of the trainees, which allows for more efficient training. A training simulator device is obtained.

[Brief explanation of the drawing]

FIG. 1 is a block configuration diagram showing an embodiment of the driving training simulator device according to the present invention, FIG. 2 is a flowchart showing the calculation processing procedure of the driving training simulator device according to the present invention, and FIG. 3 is a conventional driving training simulator device. Fig. 4 is an operating data diagram of main process values to explain the operation of the driving training simulator device according to the present invention, and Fig. 5 is an operating data diagram of the main process values to explain the operation of the driving training simulator according to the present invention. FIG. 1 is a block configuration diagram showing an example of a device.

Claims (1)

[Claims] The above process corresponds to a driving training simulator device having a driving evaluation function that evaluates the driving of a trainee by comparing a simulated process quantity based on the operation content simulated inputted by the trainee with the corresponding standard data. 1. A driving training simulator device comprising a standard data resetting section that resets a standard data curve to match the current process amount when the standard data exceeds an allowable range.