JP3299019B2 - Simulator model generator - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a model generator for generating a model for a simulator for simulating operation of a plant or the like during operation or when an abnormal situation occurs.

[0002]

2. Description of the Related Art In a large-scale factory such as an LNG receiving base, an operator needs to manage a wide range of operations such as an LNG receiving operation, a tank storage operation, a vaporization equipment operation operation, a heat quantity adjustment operation, and a delivery operation. . Furthermore, since the plant is operated continuously day and night, prompt and appropriate processing by the operator is indispensable when an abnormality occurs.

[0003] However, since it is difficult to teach the operating procedure in the event of an abnormality to the operator by operating the actual plant, the operator is trained using a training simulator.

[0004]

In the case of training an operator using a simulator, it is necessary to create a simulation program having functions of actual plant equipment and the like in advance. Conventionally, such a simulation program has been manually created. However, in a large-scale plant such as an LNG tank, creating a simulation program requires a great deal of effort.

The present invention has been made in view of such a problem, and an object of the present invention is to provide a simulator model generator capable of semi-automatically creating a model for a simulator.

In order to achieve the above-mentioned object, a first invention is a simulator model generator used for a simulator for simulating a plant, comprising a primitive model creating means for creating a primitive model, and a management of the primitive model. Management information definition means for defining information;
Primitive model copying means for copying the primitive model, wherein the primitive model creating means is a model defining means for defining a model for the equipment of the plant, and an equipment specification setting means for setting specifications of the equipment. And model formula defining means for defining parameters corresponding to the model and defining model formulas such as material balance, pressure formula, flow rate, heat conduction, and heat balance using the parameters, The model copying means is a simulator model generator characterized by copying the first primitive model created by the primitive model creating means and creating a second primitive model. A second invention is a simulator model generator used in a simulator for simulating a plant, wherein a primitive model creating means for creating a primitive model, and a primitive model created by the primitive model creating means are combined with each other, and synthesized. Synthetic model creation means for creating a model, comprising: a primitive model creation means, a model definition means for defining a model for the equipment of the plant, equipment specification setting means for setting the specifications of the equipment, Define the parameters corresponding to the model, using the parameters material balance, pressure formula, flow rate,
Model formula defining means for defining model formulas such as heat conduction and heat balance, wherein the synthetic model creating means synthesizes the primitive models based on boundary variables set between the primitive models. A simulator model generator characterized in that:

[0007]

According to the present invention, a model of a plant is defined, and after the defined model is put into operation, the model is debugged.

[0008]

Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 1 is an explanatory diagram showing the relationship between a simulator using a simulator model generator according to one embodiment of the present invention and an actual plant.

In an actual plant, a flow meter 3 and a valve 5 are provided in a pipe 1 through which gas or the like passes. Flow meter 3, valve 5
Is connected to the control device via a local terminal block 7. The flow value of the gas measured by the flow meter 3 is sent to the control device via the on-site terminal block 7, and the control device determines the opening of the valve 5 based on the flow value and the like, and indicates the opening. A signal is sent to the valve 5 via the on-site terminal block 7, and the valve 5 is opened according to the signal indicating its opening, and the flow rate of the gas is adjusted.

The simulator 9 simulates such an actual plant, and has a computer 11 and a console 13. The program of the computer 11 has a simulator model generator 15 and a simulation unit 17. Simulation unit 17
Is for simulating a model corresponding to an actual plant, and has a plant simulation section 19, a plant variable section 21, an instrumentation equipment simulation section 23, and a virtual terminal 25.

An operator who receives training from the console 13 performs input. The plant simulation section 19 simulates a plant such as the pipe 1. The instrumentation equipment simulation unit 23 simulates instrumentation equipment such as the flow meter 3 and the valve 5. The virtual terminal 25 corresponds to the field terminal block 7. The simulation unit 17 is described in detail in "Kazuo Koyama, Plant Operator Training Simulator Development Example, Instrumentation Technology, March 1986, P54-P61".

Next, the simulator model generator 15 will be described. The simulator model generator 15 creates a model itself for performing a simulation. FIG. 2 is a flowchart showing the general operation of the simulator model generator 15. The simulator model generator 15 first defines a model (Step 201) and generates a defined model (Step 202). Generating a model means, for example, compiling and linking the model defined in step 201. Then, the model is debugged (step 203).

Next, the processing of step 201 will be described in detail with reference to FIGS. 3 and 4 are flowcharts showing the processing of step 201, FIG. 5 shows a target real plant, FIG. 6 shows a model of the real plant, and FIG. 7 shows equipment specifications.

FIG. 3 is a flowchart showing the definition of a primitive model. One primitive model corresponds to one physical facility, and the primitive model itself is a target of simulation.

First, a model diagram is created (step 30).
1). Here, for the sake of simplicity, the description is directed to an actual plant as shown in FIG. This actual plant sends LNG from LNG carrier 51 to tanks 57 and 77,
This is a plant that sends the LNG stored at 7, 77 to the main pipe 67. And the plant equipment A and the plant equipment B are
The configuration is almost the same except for the pipe diameter, equipment specifications, and the like.

A pipe 53 is provided between the LNG ship 51 and the tank 57, and a valve 55 is provided in the pipe 53. A pipe 59 and a pipe 6 are provided between the tank 57 and the main pipe 67.
5, a flow meter 61 is provided in the pipe 59, and a valve 63 is provided between the pipe 59 and the pipe 65.

A pipe 73 is provided between the LNG ship 51 and the tank 77, and a valve 75 is provided in the pipe 73. A pipe 79 and a pipe 8 are provided between the tank 77 and the main pipe 67.
5 is provided, a flow meter 81 is provided in a pipe 79, and a valve 83 is provided between the pipe 79 and the pipe 85.

Since the simulator model generator 15 according to the present embodiment has a copying function, a model for the plant equipment A is created, and after this model is created, copying is performed. A model of the facility B can be created.

FIG. 6 is a model diagram of the plant equipment A. 93 in FIG. 6 is a symbol corresponding to the pipe 53, the pressure is P _1. 95 is a symbol corresponding to the valve 55, the flow rate is F _1. Reference numeral 97 denotes a symbol corresponding to the tank 57 whose pressure is P ₂
It is. 98 is a pump, the discharge pressure is P _5. 99 corresponds to the pipe 59, the pressure is P _3, 10
5 corresponds to the pipe 65, the pressure is P _4. 101 corresponds to the flow meter 61, the flow rate is F _2, 103 corresponds to the valve 63, the flow rate is F _3.

In step 301, the creator of the program creates a model diagram as shown in FIG. 6 on the screen. Most of the symbols are prepared, and the program creator creates a model diagram as shown in FIG. 6 by using a graphic function.

Next, equipment specifications are defined (step 3).
02). The device specifications are specifications of devices such as valves and flow meters. FIG. 7 shows an example of the device specifications. The device specifications as shown in FIG. 7 are stored in a database (not shown), and the program creator retrieves the specifications of the predetermined device from this database, inputs numerical values and the like as appropriate, and sets the device specifications. Define.

Next, a model formula is defined (step 3).
03). Here, the model formulas are various formulas in consideration of a material balance, a pressure formula, a flow rate, heat conduction, a heat balance, and the like. For example, as shown in FIG. 6, there is F ₁ = K ₁ (P ₁ −P ₂ ) ^1/2 as a flow rate equation. That is, the flow rate F _{1 of the} valve 95 is proportional to the half power of the pressure difference between the pressure P _{1 in the} pipe 93 and the pressure P ₂ in the tank 97. Note that the constant K ₁ is a parameter that varies in accordance with the opening degree of the valve 95.

Similarly, the flow rate F ₂ of the flow meter 101 and the valve 1
Flow rate F ₃ of _{03, F 2 = K 2 (P} 5 -P 3) 1/2 F 3 = K 3 (P 3 -P 4) becomes ^1/2.

As the pressure equation, P = WRT / (MV) W: mass of gas, M: molecular weight of fluid, R: constant T: temperature, V: volume of pipe or tank.

Further, as a material balance, for example, a pipe 99
There are various expressions such as ΔW / ΔT = F ₂ −F ₃ .

The model formula is described in detail in the above-mentioned "Kazuo Koyama, Development Example of Training Simulator for Plant Operators, Instrumentation Technology, March 1986, P54-P61".

After the model formula is defined, management information and the like are defined next (step 304). The management information is an ID number of the source model, a comment on the source model, and the like. That is, when the model diagram as shown in FIG. 6 is defined, the ID number is uniquely and automatically set. Note that the program creator can arbitrarily set this ID number.

Next, when copying is performed (step 30)
5), a copying process is performed (step 306). For example, after a model diagram, a device specification, a model formula, management information, and the like are defined for the model shown in FIG. 6, a model for the plant equipment B can be defined by copying this. In this case, the ID number of the primitive model for the plant facility B is set to be different from the ID number of the primitive model for the plant facility A. If the equipment specifications of the valves 75 and 83 and the flow meter 81 of the plant equipment B are different from the equipment specifications of the valves 55 and 63 and the flow meter 61 of the plant equipment A, the program creator writes the copied piping equipment B It is necessary to change the equipment specifications for. When the pipe lengths of the pipes 73, 79, 85 of the plant equipment B are different from the pipes 53, 59, 65 of the plant equipment A,
The program writer needs to change the model formula.

In this way, primitive models for the two plant facilities A and B shown in FIG. 5 are defined.

Next, when another model is defined (step 307), steps 301 to 30
The processing up to 6 is repeated. In the above description, simple plant equipments A and B having two tanks 55 and 77 have been described. However, since there are actually many other physical equipments, models are created for all these physical equipments. I do.
Next, the definition of the composite model will be described. The synthetic model is a process of synthesizing the respective primitive models of the plant equipment A and the plant equipment B shown in FIG. 5 into one model, and the generated synthetic model itself can be copied.

When defining a synthetic model (step 40)
1), a primitive model is synthesized (step 402). For example, the primitive model of the plant facility A and the primitive model of the plant facility B shown in FIG. 5 are combined into one combined model. In this case, a new ID number or the like is assigned to the composite model, and the composite model is treated as one model.
When performing synthesis, it is also possible to perform synthesis of an existing synthesis model and a primitive model, and synthesis of synthesis models. When performing synthesis, the boundary variables of the model formula are set.

The boundary variables are, for example, the pressures P ₁ and P ₄ of the primitive model shown in FIG. This primitive model is called LNG in FIG.
When combined with the ship 51 and the main pipe 67, P ₁ is replaced by the pressure of the connecting portion of the LNG ship model by replacing P ₄ is the pressure of the connecting portion of the main pipe model, primitive models are mathematically coupled .

Next, when performing copying (step 4
03), a copying process is performed (step 404). That is, when an existing composite model is copied, almost the same model that is different from the existing composite model only in the ID number and the like is defined.

Next, when another composite model is defined (step 405), the process returns to step 401.

After defining the primitive model according to the flowchart of FIG. 3, a model is generated according to the flowchart of FIG. 2 (step 202), and the model is debugged (step 203). Further, it is also possible to define a composite model from one primitive model and another primitive model according to the flowchart shown in FIG. 4, generate a model for this composite model according to FIG. 2 (step 202), and debug the model (step 202). Step 203).

For example, in a plant facility such as a large-scale LNG base, the plant facility is divided into a large number of physical facilities, and a primitive model is defined, generated, and debugged for the divided facility. After that, a primitive model for the divided facilities is combined to finally define a combined model for the entire LNG base, and this combined model is generated and debugged. Then, simulation training is performed by the operator.

In this embodiment, when a model of a simulator for large-scale plant equipment is created, the model is divided into several primitive models, each primitive model is created independently, and then each primitive model is created. To complete the entire model. Here, when there are a plurality of facilities of the same type, copying is performed, and when connecting models, the boundary conditions of the model formula are appropriately set. The model diagram can be created using a graphic function, and the created model is a target for simulation whether it is a primitive model or a synthetic model.

As described above, when creating a model of a large-scale plant simulator, it is possible to divide the work and to significantly reduce the number of steps. Further, by accumulating the basic facility models, similar plant models can be efficiently created.

[0039]

As described above, according to the present invention, a model for a simulator can be semi-automatically created.

[Brief description of the drawings]

FIG. 1 is a diagram showing a relationship between an actual plant and a simulator.

FIG. 2 is a flowchart showing processing of a simulator model generator 15;

FIG. 3 is a flowchart showing processing of step 201;

FIG. 4 is a flowchart showing processing of step 201;

FIG. 5 is a diagram showing a target actual plant.

FIG. 6 is a diagram showing a model diagram of an actual plant.

FIG. 7 is a diagram showing device specifications.

[Description of Signs] 9 Simulator 13 Operation console 15 Simulator model generator 19 Plant simulation unit 21 Plant variable unit 23 Instrumentation unit simulation unit 25 ... virtual terminals

Continuation of front page (72) Inventor Sakae Tezuka 1-7-7 Suehirocho, Tsurumi-ku, Yokohama-shi, Kanagawa Prefecture Tokyo Gas Co., Ltd. Production Technology Center (56) References JP-A-59-109967 (JP, A) JP-A-60-11908 (JP, A) JP-A-63-118904 (JP, A) JP-A-59-68008 (JP, A) (58) Fields investigated (Int. Cl. ⁷ , DB name) G05B 1 / 00-24/04 G09B 1/00-29/14

Claims (4)

(57) [Claims] 1. A simulator model generator used in a simulator for simulating a plant, comprising: a primitive model creating means for creating a primitive model; management information defining means for defining management information of the primitive model; And a primitive model copying unit that copies the following. The primitive model creating unit includes: a model defining unit that defines a model for the device of the plant; a device specification setting unit that sets specifications of the device; Model formula defining means for defining parameters corresponding to the model and defining model formulas such as material balance, pressure formula, flow rate, heat conduction, heat balance and the like using the parameters, the primitive model copying means Creates a second primitive model by copying the first primitive model created by the primitive model creating means. Simulator model generator characterized by Rukoto. 2. A simulator model generator for use in a simulator for simulating a plant, comprising: a primitive model creating means for creating a primitive model; and a primitive model created by the primitive model creating means. Wherein the primitive model creating means comprises: a model defining means for defining a model for equipment of the plant; an equipment specification setting means for setting specifications of the equipment; and Model formula defining means for defining parameters corresponding to the model and defining model formulas such as material balance, pressure formula, flow rate, heat conduction, heat balance and the like using the parameters, the synthetic model creating means Is characterized in that the primitive models are synthesized based on boundary variables set between the primitive models. Simulator model generator. 3. The primitive model creating means creates a first primitive model, and copies the first primitive model to generate a second primitive model.
3. The simulator model generator according to claim 2, wherein a primitive model is created. 4. The simulator model generator according to claim 2, wherein said combined model creating means combines said combined models based on a boundary variable set between the combined models.