JPS62204287A - Training simulator - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a training simulator for training power plant operators.

[Conventional technology]

For example, Figure 2 is a diagram showing the general system configuration of a training simulator. Perform all operation training. DI is digital input, DO is digital output, AC)ld analog output, AII/'s.

7f log input, CPU 1j a computer for calculating the control sequence of dynamic characteristics; IC is an instructor console for the instructor; M is an attached device such as a disk memory, Fii, CRT or printer. In addition, FIG. 3 shows the computer C
A dynamic model in which calculations are executed by the PU,
MM is a main memory, and 1 is a dynamic model program consisting of programs A, B, and C, for example. 2
is the data area OCA ((31obal Common
Area), and data can be accessed in common by multiple different programs.

Next, the operation will be explained. First, dynamic model programs A, B, and C are executed on a training simulator.
As shown in FIG. 3, all data is exchanged through the data area GCAlr.

Here, if the target W11 training simulator model is in a stable state of 100chi, program 1 of the dynamic model, A,
Data sounds B and C are sequentially read from the data area GCA2, calculated by the computer CPU, and all the calculation results are stored again in the data area 0CA2. In creating a stable state, adjustments are made so that there is no difference between the calculation results one step before and the current results, and they match the correct plant values. Therefore, for example, the fourth
When performing all the simulations for a power plant operator as shown in the figure, the operator operates the central control panel CCQ shown in FIG. Program 1 of the dynamic model simulates one run of the target, and solves pressure, temperature, flow rate, etc. using physical equations, and calculates all external conditions such as compression and heating applied to a certain system. All physical states in the system are calculated. For example, the plant dynamic characteristic section A calculates the physical state of the plant, for example, calculates the flow itw in the pipe P from the opening degree of the valve (2). Next, B is the plant control and the appropriate itt M of the plant controller section.
: Do w. For example, the deviation from the preset value is determined from the output value of the detector. Subsequently, C is a sequence section that calculates the plant's capacity range, for example, increases the opening degree of valve (2).

[Problem that the invention seeks to solve]

Conventional training simulators are configured as described above, so if the power plant model is not stable, in order to identify the cause, dynamic model programs A, B, etc. and data area GCA are used. It is necessary for the operator to check the cause of the failure by manual calculation step by step while referring to the data of the system, which poses a problem in that it takes a lot of time to discover the cause.

Does this invention have the above problems? This was done to solve the problem. Among the variables used in simulation model calculations, if the error exceeds a certain value, the fundamental tone of the variable is output in the order of execution, and the full name of the execution program is output. Where is the cause of this divergence? −
The purpose is to provide a training simulator that can be visually understood.

[Means for solving problems]

The training simulator according to the present invention compares the data obtained by executing the simulation with the correct preset plant value, and if the calculated value deviates significantly from the correct preset value, the program name, variable name, Output the data area GCA value, correct plant value, error value, etc. in the order of execution, and find the first cause of divergence? It's something you can find.

[Effect]

The simulator in this invention always compares the 100% data file and the value of the data area GCA, and also always remembers the name of the program being executed, and if the error becomes large, the program name, variable name, data area O
Output all CA values.

〔Example〕

An embodiment of the present invention will be described below with reference to the drawings. In the figure, the same parts as in Figure 3 are shown with the same symbols □ In Figure 1, 6 is the correct 1 for comparison with the actual value.
00% Plant data association variable name, 7 is the program name, 8 is the execution value data 5 and 10 of data area GCA2
This is an execution value monitoring device that compares the correct plant value data 4 of the 0% data file 6, calculates all the errors, and stores all executed variable names 6 and program names 7.

Next, the operation will be explained. First, in FIG. 1, the dynamic model program 1 reads data in the data area GCA2, executes the program, and writes the calculation results to the entire data area GCA2.

A variable name 6 representing the entire execution result and a name 7 of the program being executed are stored in the performance value monitoring device 8.

At the same time, compare the data execution value 5 in the data area GCA2 and the correct plant value data 4 in the data file 6 to determine if there is an error. demand.

In the execution value monitoring device 8, when this error exceeds a certain value, variable name 6, program name 7 error, data area G CA
Data execution value 5 of 2, correct plant value data 4 of data file 3 Only those with larger errors are output in the order of execution.

In the above example, there was one correct 100% plant data file, but files with various states are prepared, all errors are calculated when necessary, and all those with large errors are output, and all plant states are recorded. It may also be possible to use it in

〔Effect of the invention〕

As described above, according to the present invention, a 100% correct data file is compared with the data execution value of the dynamic model program written in the data area (fCA), and if the error becomes larger than a predetermined value, the variable name and program name are output. Since the actual value monitoring device is separated, the first cause of plant simulation divergence can be found very early, which has the effect of greatly shortening the adjustment time.

[Brief explanation of drawings]

Figure 1 is a configuration diagram of a program and data of a training simulator according to an exemplary embodiment of the invention, Figure 2 is a hardware configuration diagram of a training simulator, Figure 3 is a configuration diagram of a conventional program and data, and Figure @4 is a diagram of a program and data configuration of a training simulator. FIG. 2 is an explanatory diagram of a simulator. 1 is a dynamic model program, 2 is a data area OCA%6 is a data file, 4 is correct plant value data, 5 is a data execution value, 6 is a variable name, 7 is a program name, and 8 is an execution value monitoring device. Patent applicant Mitsubishi Electric Corporation Figure 1 7: Procurement name Figure 2

Claims (1)

[Claims] An operator simulates the plant using a central control panel built to the same specifications as the actual plant, reads data from the data area of the main storage device through the simulation, performs calculations using the dynamic model program, and then performs calculations again using the dynamic model program. In a training simulator that performs plant simulation by writing the calculation results in the data area, the execution values are monitored by checking the data execution values written in the data area and the correct plant value data in a separately provided 100% data file. When the comparison result exceeds a predetermined value, the program name, variable name, data execution value, correct plant value data, error, etc. of the dynamic model are output from the execution value monitoring device in the order of execution. A training simulator characterized by: