JPH06231111A - Simulating method - Google Patents

Abstract

PURPOSE:To improve the precision and efficiency of a test for plant control simulation. CONSTITUTION:Functions can be optionally selected and combined by processing them as programmable functions. Data are transmitted/received between a simulator 6 and a device 1 to be tested based upon an address set up by communication software. A random number signal is generated from a random number generator 12 to test the abnormality of the tested device 1. In addition, the device 1 including a sensor 15 is tested by generating a sensor signal from the simulator 6.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a simulation method for simulating the movement of equipment and materials of a steel plant, for example.

[0002]

2. Description of the Related Art FIG. 12 is a block diagram showing a configuration of a conventional simulation method. In FIG. 12, 1 is a device under test, 2 is an input part of the device under test 1, and 3 is an output part of the device under test 1. Reference numeral 4 is an application software section of the device under test 1, 5 is a communication cable connecting the device under test 1 and the simulator 6, 7 is an input unit of the simulator 6, and 8
Is an output unit of the simulator 6, 9 is a simulation function storage unit that stores a simulation function having a plant simulation function, and 10 is a communication cable that connects the output unit 8 of the simulator 6 and the input unit 2 of the device under test 1. .

Next, the operation will be described. To test the application software of the application software unit 4, the signal output from the output unit 3 of the device under test 1 is input to the input unit 7 of the simulator 6 via the communication cable 5. The simulator 6 applies the signal input from the input unit 7 to the simulation function storage unit 9 and outputs the simulation signal from the output unit 8. The simulation signal output from the output unit 8 is fed back to the device under test 1 via the communication cable 10, whereby the device under test 1 performs a simulated operation.

[0004]

The conventional simulation method is configured as described above, and it is necessary to place restrictions on the simulation conditions because the plant simulation function is fixed. Further, since the input unit and the output unit of each of the device under test and the simulator are connected to the cable, it is necessary to change the connection of the cable each time the simulation content of the simulator is changed. Further, since it does not have a setting function for a plurality of times, the number of times of simulation can be set only once, and the random noise test cannot be performed. Further, in the conventional simulation method, since the output of the simulator is fed back to the device under test, it is not possible to find a defect in the sensor for detecting the state of the plant, an error in the installation position, or the like in the simulation.

The present invention has been made to solve the above problems, and an object of the present invention is to obtain an efficient simulation method with high accuracy, wide simulation range.

[0006]

In the simulation method according to the present invention, a function is stored as a programmable function in the programmable function storage unit 11, and the functions can be freely selected and combined. In this way, various simulations are supported.

In the simulation method according to the second aspect of the present invention, the data from the simulator 6 to the device under test 1 is transferred from the simulator 6 based on the address set by the communication software provided as the interface means between the simulator 6 and the device under test 1. The transmission and the reception of data from the device under test 1 to the simulator 6 are performed.

In the simulation method according to the third aspect of the present invention, the random number signal generated from the random number generator 12 of the simulator 6 is applied to the device under test 1 to abnormally test the device under test 1.

In the simulation method according to the fourth aspect of the present invention, the simulation signal from the simulator 6 is applied to the device under test 1 as a test mode signal of the sensor 15 to test the device under test 1 including the operation of the sensor 15. It was done.

[0010]

According to the first aspect of the present invention, by storing the programmable function in the programmable function storage section 11, it becomes possible to freely select and combine the programmable functions, and it is possible to cope with various simulations.

According to the second aspect of the present invention, the data transmission from the simulator 6 to the device under test 1 and the data reception from the device under test 1 to the simulator 6 are performed based on the address set by the communication software. Done.

In the third aspect of the present invention, the random number signal generated from the random number generator 12 of the simulator 6 is applied to the device under test 1, and the device under test 1 is tested for abnormality.

In the invention of claim 4, the simulation signal from the simulator 6 is given to the device under test 1 as a test mode signal of the sensor 15, whereby the device under test 1 performs a test including an operation in the test mode of the sensor 15. Is done.

[0014]

【Example】

Example 1 (corresponding to claim 1). FIG. 1 is a block diagram showing the configuration of a simulation method according to an embodiment of the present invention. In FIG. 1, 1 is a device under test for controlling a plant (not shown), 2 is an input part of the device under test 1, 3 is an output part of the device under test 1, 4 is an application software part of the device under test 1, and 14 is a device under test. It is a communication software section as an interface means of the test apparatus 1. 6 is a simulator, 13 is a communication software part of the simulator 6, 17 is a simulation software part of the simulator 6, 11 is a programmable function storage part of the simulator 6, 12 is a random number generator of the simulator 6, and 8 is an output part of the simulator 6.
Reference numeral 15 is a sensor for detecting the state of a plant (not shown),
6 is a sensor control box for switching the output of the sensor 15 to the device under test 1 or the output of the simulator 6 to the device under test 1, 16a is an online input section of the sensor control box 16, and 16b is a sensor control box. 16 test input sections. Reference numeral 18 is a communication cable that connects the communication software unit 14 of the device under test 1 and the communication software unit 13 of the simulator 6, and 19 is a sensor cable that connects the output unit 8 of the simulator 6 and the sensor control box 16.

FIG. 2 is a flow chart showing the processing of a programmable function for a motor drive simulation, for example. In FIG. 2, 21 is a step for selecting a plant simulation function, 22 is a step for selecting a function, 23 is a step for setting a time constant T, 24 is a step for setting a time constant T, and 25 is a step. The step of setting the gain G2, and 26 are steps of setting the gain G2.

As described above, the programmable function can freely change parameters such as the time constant T and the gain G2. Further, such a programmable function has a plurality of functions, and any one of them can be freely selected.

FIG. 3 is a block diagram showing an example of a motor drive simulation. In FIG. 3, LR is a position reference, GI is a gain, VR is a speed reference, T is a time constant, V
F is velocity, LFI is moving distance, G2 is gain, and LF is feedback position information.

Next, the operation of the first embodiment will be described. For example, when simulating a motor drive, the simulator 6 causes the simulation software unit 17 to perform the calculation shown in FIG. 3 according to the procedure of the flowchart of FIG. That is, a plant simulation function is selected (steps 21 and 22), and then parameters of the function are set (steps 23 to 26). As described above, the simulator 6 is a programmable simulation device having various functions and having a function of simulating a plant alone or in combination.

FIG. 4 is a diagram for explaining a simulation of sensor input. 15a is a sensor provided at the origin A, 15b is a sensor provided at a point B, L is a distance between the origin A and the point B, and M indicates a material which moves from the origin A to the point B at the velocity V.

FIG. 5 is a flow chart showing the processing of the sensor input simulation. In FIG. 5, 51 is a step for obtaining a time constant T, 52 is a step for activating a simulation according to the time constant T, 53 is a step for deciding whether or not the activation time is up, 54 is an ON sensor.
This is the step of operating.

FIG. 6 is a diagram for explaining the process of the flowchart of FIG. In FIG. 6, a timer 61 in the simulator 6 performs a timing operation by the output of the sensor 15a when the material M shown in FIG. 4 has passed the origin A, and the time is up when a predetermined time elapses.
Is turned on.

Embodiment 2 (corresponding to claim 2). Although the programmable function has been described in the first embodiment, as the second embodiment, as shown in FIG. 7, the communication software provided as the interface means between the simulator and the device under test is used to transmit and receive data. That is,
Since the data is transmitted and received (steps 72 and 73) by turning on the fixed cycle clock (step 71), it is not necessary to change the cable every time the simulation item is changed, and the efficiency of the simulation is improved.

The reason why it is not necessary to change the cable will be described with reference to the flowchart of FIG. A plant is selected (step 81), equipment in the plant is selected (step 82), a function is selected and set (step 83), a simulation function is set (step 84), and then an address is set (step). 85). Then, the execution of the simulation is started (step 86). Although the amount of data sent / received once is limited due to the communication speed, an address is set by communication before the start of simulation execution, and data for that address is sent / received during simulation execution. There is no need to change the cable each time the address of the input section and output section changes.

Embodiment 3 (corresponding to claim 3). As a third embodiment, the number of tests can be set as shown in FIG. 9 (step 91), and the test condition is automatically changed for each number of tests (steps 92, 93, 94) to turn ON / OFF the interlock or the like. It is possible to improve the efficiency of the test due to the change. Further, by using the random number generator 12 shown in FIG. 1 (step 93), random timing of timing abnormality considered by humans can be given, so that the abnormality test of the device under test 1 (step 95).
The accuracy of is improved. The random timing is a timing at which the sensor 15 is turned on at random times.

The feature of the third embodiment is that, as shown in FIG. 1, a random number signal is generated from a random number generator 12 of a simulator 6 and the random number signal is given to an input section 2 of a device under test 1, whereby the device under test is tested. Abnormally test 1.

Embodiment 4 (corresponding to claim 4). FIG. 10 is a flowchart showing the simulation of the sensor closed loop as the fourth embodiment. FIG. 11 is a block diagram of a sensor closed loop simulation. Figure 10,
In 11, the sensor signal created by the simulator 6 is output (step 101) and input to the test input unit 16b of the sensor control box 16 (step 10).
2) Then, the actual input of the device under test 1 is turned on (step 103). According to this method, there is the same effect that feedback is returned from the actual sensor 15, a simulation including the sensor 15 can be performed, and a highly accurate simulation including a sensor portion that could not be performed in the past can be performed.

The feature of the fourth embodiment is that the simulation signal from the simulator 6 is given to the device under test 1 as a test mode signal (the sensor signal) of the sensor 15,
The device under test 1 is tested including the operation of the sensor 15.

[0028]

As described above, according to the invention of claim 1, since the function is a programmable function and the simulation items can be freely selected and set, a wide range of simulation can be performed accurately and efficiently. The effect is that

According to the second aspect of the invention, the transmission / reception is performed based on the address set by the communication software, that is, the input / output interface is used for transmission, so that the input / output cable connection for each simulation is performed. The effect of improving the efficiency of changing simulation contents is eliminated.

According to the third aspect of the present invention, by generating a random number signal, it is possible to perform an abnormal test of the device under test, which has the effect of improving the accuracy of simulation.

According to the invention of claim 4, by generating the test mode signal of the sensor, the closed loop simulation including the sensor can be performed by using the test input of the sensor, and the simulation accuracy is improved. is there.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of a simulation method according to a first embodiment of the present invention.

FIG. 2 is a flowchart showing the operation of the first embodiment of the present invention.

FIG. 3 is a block diagram showing the operation of the first embodiment of the present invention.

FIG. 4 is a diagram for explaining a sensor input simulation in the first embodiment of the present invention.

FIG. 5 is a flowchart showing a process of the sensor input simulation.

FIG. 6 is an explanatory diagram of the sensor input simulation.

FIG. 7 is a flowchart showing the operation of the second embodiment of the present invention.

FIG. 8 is a flowchart of supplementary explanation of the second embodiment.

FIG. 9 is a flowchart showing the operation of the third embodiment of the present invention.

FIG. 10 is a flowchart showing the operation of the fourth embodiment of the present invention.

FIG. 11 is a block diagram for explaining the operation of the fourth embodiment of the present invention.

FIG. 12 is a block diagram showing a configuration of a conventional simulation method.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Device under test 6 Simulator 11 Programmable function storage unit 12 Random number generator 13, 14 Communication software unit 15 Sensor 16 Sensor control box

Claims (4)

[Claims] 1. A simulator simulation method for simulating a device under test for controlling a plant based on a function to determine an operation result, wherein the function is a programmable function, thereby selecting and combining the functions. The simulation method is characterized in that it can be freely performed. 2. A simulator simulation method for simulating a device under test that controls a plant based on a function to determine an operation result, wherein communication software is provided as an interface means between the simulator and the device under test. , A simulation method, characterized in that data is transmitted from the simulator to the device under test and data is received from the device under test to the simulator based on an address set by the communication software. . 3. A simulator simulation method for deciding an operation result by simulatingly operating a device under test controlling a plant based on a function, wherein a random number signal is generated from the simulator, and the random number signal is used as the device under test. A simulation method, characterized in that the device under test is subjected to an abnormal test. 4. A simulation method of a simulator for simulating a device under test for controlling a plant based on a function to determine an operation result, wherein a sensor for detecting a state of the plant from a simulation signal from the simulator. The test method signal is applied to the device under test to test the device under test including the operation of the sensor.