JP2002091504A - Parameter adjustment support device for plant monitoring and control - Google Patents

Abstract

PROBLEM TO BE SOLVED: To extremely easily adjust parameters without interposing an operator having expert knowledge. SOLUTION: In this parameter adjustment support device for plant monitoring and control to support parameter adjustment in plant monitoring and controlling equipment to monitor and control a plant, an I/F object arithmetic unit 3 to transfer parameters and pieces of data to be required for adjustment in the respective control blocks to monitor and control the plant, a control object arithmetic unit 4 to perform control by using the parameters obtained by the I/F object arithmetic unit 3 and an evaluation object arithmetic unit 5 to perform evaluation by using a result obtained by the control by the control object arithmetic unit 4 in comparison with the previous result are provided.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a parameter adjustment support device for plant monitoring and control for supporting parameter adjustment in a plant monitoring and control device for monitoring and controlling a plant including a demand forecasting device, an optimum operation device and a local control controller device. More particularly, the present invention relates to a parameter adjustment support device for plant monitoring and control that supports parameter adjustment for efficiently controlling operation of a plant.

[0002]

2. Description of the Related Art In general, in a plant monitoring and control device such as a power plant, gas, purified water, and heat (cold water, hot water) supply plant, for example, electric power or water, gas, heat or the like is manufactured in response to demand. Or a demand forecasting device for predicting the amount of demand required for supply, an optimal operating device for formulating an operation plan for efficiently operating equipment required for supplying demand, and a local controller And

The demand prediction device, the optimal operation device, and the local control controller have a plurality of parameters that affect the performance.

In this case, these parameters must be adjusted in order to efficiently control the operation of the plant. However, in the adjustment, equipment designed for each building is used. All adjustments are made manually based on knowledge.

[0005] At present, means for performing automatic adjustment comprehensively has not been realized.

As a similar technique of the invention, there is the following document.

[0007]

As described above, in the parameter adjustment in the plant monitoring and control, since an apparatus designed for each building is used, it must be adjusted for each building, which is very troublesome. is there.

Further, since all adjustments are made by a specialized operator, it takes a very long time to adjust the parameters, which is not practical.

An object of the present invention is to provide a parameter adjustment support apparatus for plant monitoring and control capable of extremely easily adjusting parameters without the intervention of an operator having specialized knowledge.

[0010]

In order to achieve the above object, according to the first aspect of the present invention, there is provided a parameter adjustment support device for a plant monitoring control for supporting a parameter adjustment in a plant monitoring control device for monitoring and controlling a plant. In, using an I / F object operation device that exchanges parameters and data necessary for adjustment in each control block that performs plant monitoring and control, and a parameter obtained by the I / F object operation device,
A control object operation device for performing control, and an evaluation object operation device for comparing and using a result obtained by control by the control object operation device with a previous result and evaluating the result are provided.

According to a second aspect of the present invention, in the parameter adjustment support apparatus for plant monitoring control according to the first aspect of the present invention, the control block automatically adjusts a control gain such as an objectized PID gain as a control block. A local control controller device.

According to a third aspect of the present invention, in the parameter adjustment support apparatus for plant monitoring control according to the first aspect of the present invention, the control block automatically adjusts a control gain such as an objectized PID gain as a control block. And a demand forecasting device for adjusting demand forecasting parameters.

According to a fourth aspect of the present invention, in the parameter adjustment support device for plant monitoring and control according to the first aspect of the present invention, the control block automatically adjusts a control gain such as an objectized PID gain as a control block. A local control controller device that adjusts a demand prediction parameter, and an optimal operation device that adjusts optimization weights.

According to a fifth aspect of the present invention, in the parameter adjustment support apparatus for plant monitoring and control according to the first aspect of the present invention, the control block automatically adjusts a control gain such as an objectized PID gain as a control block. A local control controller device for adjusting the demand prediction parameters, and an optimization device for adjusting the optimization weights and the GA parameters.

According to a sixth aspect of the present invention, in the plant monitoring control parameter adjustment support apparatus according to the first aspect of the present invention, the control block includes a demand prediction model such as an objectized GMDH or a neuro. It has a demand forecasting device that performs automatic selection.

According to a seventh aspect of the present invention, in the parameter adjustment support apparatus for plant monitoring and control according to the first aspect of the present invention, an optimization method of an objectized BBM, GA, or the like is used as the control block. Optimum operating device for automatic selection of

Accordingly, in the plant monitoring control parameter adjustment support apparatus according to the first to seventh aspects of the present invention, the contents of the plant monitoring control apparatus are created by creating an I / F object, a control object, and an evaluation object. Can be easily replaced, so that only the parts necessary for the plant can be taken out and the parameters can be adjusted.

On the other hand, according to the invention according to claim 8, in the parameter adjustment support apparatus for plant monitoring and control according to the invention according to claim 1, if the control block is not an object, the I / F conversion object
A local controller is provided which converts the object into an object in the same manner as an object and automatically adjusts a control gain such as a PID gain.

In the parameter adjustment support apparatus for plant monitoring and control according to the ninth aspect of the present invention, if the control block is not formed into an object, the control block is converted into an object by the I / F conversion object in the same manner as the object converted into the object. A local control controller for automatically adjusting a control gain such as a PID gain and a demand prediction device for adjusting a demand prediction parameter.

Further, in the invention corresponding to claim 10,
In the plant monitoring control parameter adjustment support device according to the first aspect of the present invention, if the control block is not an object-converted part, the control block is converted into an object by the I / F conversion object in the same manner as the object. A local control controller for automatically adjusting the control gain of the PID gain, a demand forecasting device for adjusting the demand forecasting parameter, and an optimum operating device for adjusting the optimization weight are provided.

According to an eleventh aspect of the present invention, in the plant monitoring and control parameter adjustment support apparatus according to the first aspect of the present invention, when the control block is not an objectized part, the I / F conversion object is used. , A local control controller for automatically adjusting a control gain such as a PID gain by converting to an object in the same manner as an object, a demand forecasting device for adjusting a demand forecasting parameter, an optimization weight, and a GA parameter And an optimal operation device for performing the adjustment.

According to a twelfth aspect of the present invention, in the parameter adjustment support apparatus for plant monitoring and control according to the first aspect of the present invention, if the control block is not an object, the I / F conversion object is used. GMDH as well as objectized parts
Alternatively, a demand forecasting device for automatically selecting a demand forecasting model such as neuro is provided.

Further, in the invention according to claim 13,
In the plant monitoring and control apparatus according to the first aspect of the present invention, when the control block is not an objectized component, the I / F conversion object can optimize the BBM, GA, MIP, or the like in the same manner as the objectized component. The optimal operation equipment is provided for the automatic selection of the chemical conversion method.

Therefore, in the parameter adjustment support device for plant monitoring and control according to the invention according to claims 8 to 13, the use of the I / F conversion object allows the adjustment even if the component is not an object. Because it becomes possible, it can correspond to any plant.

As described above, parameter adjustment can be performed extremely easily without the intervention of an operator having specialized knowledge.

[0026]

Embodiments of the present invention will be described below in detail with reference to the drawings.

(First Embodiment) FIG. 1 is a block diagram showing an overall configuration example of a plant monitoring and control parameter adjustment support apparatus according to this embodiment.

That is, as shown in FIG. 1, a plant monitoring and control parameter adjustment support apparatus 1 for supporting parameter adjustment in a plant monitoring and control apparatus 2 according to the present embodiment is an I / F object operation apparatus (hereinafter referred to as an I / F object operation apparatus). ,
An I / F device 3, a control object operation device (hereinafter referred to as a control object) 4, and an evaluation object operation device (hereinafter referred to as an evaluation object) 5
It is composed of

The plant monitoring and control device 2 supplies a demand forecasting device 6 for predicting a demand amount required for producing or supplying electric power, water, gas, heat or the like. The optimal operation device 7 for formulating an operation plan for efficiently operating the necessary equipment and the local controller 8 for controlling the equipment. Parameters and data necessary for adjustment in these respective control blocks. Exchange between the human interface 9 and the database 1 through the I / F device 3 of the parameter adjustment support device 1 for plant monitoring and control.
The parameters are adjusted by starting from 0, then adjusting the weight by the control object 4, and finally evaluating the weight by the evaluation object 5.

Here, a plurality of methods are prepared for the demand prediction device 6, the optimal operation device 7, and the local control controller device 8, and these methods can be appropriately selected.

In the I / F device 3, the demand forecasting device 6, the optimal operating device 7, the local control controller device 8
Is an object that has not been converted into an object, the I / F conversion object 11 is generated, the parameters necessary for the adjustment of the non-object converted component are extracted, and converted into an object. Similarly, data can be exchanged.

FIG. 2 is a block diagram showing a detailed configuration example of the plant monitoring and control device 2 in FIG.

In FIG. 2, the plant monitoring and control device 2
Includes a demand prediction device 6, an optimal operation device 7, and a local control controller device 8.

In the demand forecasting device 6, electric power or
For a demand of water, gas, heat, etc., a plurality of methods (for example, GMDH, neuro, etc.) 12 for predicting a demand amount required for manufacturing or supplying them are prepared, and the method is appropriately determined. Select to predict demand.

In the optimal operation device 7, a method (for example, BM, GA, mixed integer) for formulating a plant operation plan as an optimization problem in order to efficiently operate equipment required to supply demand. A plurality of planning methods (MIP) 13 are prepared, and the optimum operation plan is calculated using the demand prediction result obtained by the demand prediction device 6 and the measurement signal obtained from the database 10.

In the local controller 8, a method (for example, PI
D, PI, etc.), and transmits a control signal for controlling the equipment to the target plant 15 based on the optimal operation plan obtained by the optimal operation device 7 and the measurement signal of the plant, using a method selected from among 14. Output.

FIG. 3 is a schematic diagram showing an example of the target plant 15 in FIG.

Here, as an example of the target plant 15, a building air-conditioning heat source plant 16 is shown.

The building air-conditioning heat source plant 16 includes a heat storage tank 17 provided in a basement of the building.
It consists of a cold water tank for storing cold water used for cooling and a hot water tank for storing hot water used for heating.

A plurality of various heat pumps 18 are installed in the cold water tank.

The heat pump 18 is used to convert water at about 10 ° C. into water at about 5 ° C. in summer, for example.

Further, the cold water and the hot water stored in the cold water tank and the hot water tank are supplied to the heat demand 21 via the header 20 by the pump 19, respectively.

Further, in order to predict the demand of the heat demand 21 by the demand forecasting device 6 and supply the predicted heat demand, the heat storage tank 17 is provided by using a plurality of various heat pumps 18.
Adjust the temperature of the.

FIG. 4 is a block diagram showing a detailed configuration example of the I / F device 3 in FIG.

In FIG. 4, the I / F device 3 includes a demand prediction data I / F object 22, an optimal operation data I / F object 23, and a local control data I / F object 23.
An F object 24 and four control data I / F objects 25 are provided.

The demand forecasting device 6 performs forecasting by obtaining necessary information from the human interface 9 and the database 10 through the demand forecasting data I / F object 22 in order to forecast the demand amount.

The optimal operation device 7 uses the information obtained by the demand prediction device 6 and the information obtained from the human interface 9 and the database 10 through the optimal operation data I / F object 23 to efficiently operate the equipment. Develop an optimal operation plan for operation in

The local control controller 8 exchanges parameters and data necessary for adjustment in the equipment of the target plant 15 with the local control data I / F object 24 based on the operation plan obtained by the optimal operation device 7. Through the human interface 9 and the database 10 to give operation information to the equipment of the target plant 15.

On the other hand, control data I / F object 2
5 through the human interface 9 and the database 10, and the control object 4 performs weight adjustment.

In the control object 4, the demand prediction device 6
Of heat demand predicted by the control object 4
From the weights obtained from the above, the optimization problem created by the optimal operation device 7 that is formulated as an optimization problem for creating an operation plan of the heat storage plant is solved, and an operation plan of the heat storage plant is created.

Next, the operation of the plant monitoring control parameter adjustment support apparatus 1 according to the present embodiment configured as described above will be described.

Here, the building air-conditioning heat source plant 1
6 will be described as an example.

In the building air-conditioning heat source plant 16, the actual heat demand of the heat demand 21 is measured from the temperature and the flow rate of the incoming and outgoing water by the sensor, and is arranged as the actual heat demand by the internal signals such as the date and time and the day of the week. It is stored together with the weather information.

Next, the demand forecasting device 6 predicts the heat demand 21 for the next N hours on the basis of the actual heat demand data stored in the database 10 and the data such as weather information input from the human interface 9. Value is obtained,
The optimal operation device 7 can obtain an operation plan for N hours in the future using the capacity of the heat storage tank 17 and the rated capacity of the heat source device 18.

In this case, the calculation method of the demand prediction device 6 and the optimal operation device 7 is not particularly limited.

For example, the demand forecasting device 6 may be a neural network, a GMDH, or the like.

Further, as long as the optimum operation device 7 is used, a mathematical programming method or a genetic algorithm may be used.

Each of the above-mentioned means is converted into an object by object orientation as follows.

The cat will be specifically described below.

For object conversion, various class definition methods can be considered.

Examples of class definitions are listed below.

First, the object means of the demand forecasting device 6 is defined as follows. Class name: Heat demand forecast object Data name: Actual heat demand value Weather information Parameters required by the forecast method Method: Reference to each data Writing of each data Heat demand forecast calculation (GMDH, neutral network, system, etc.) The object means of the driving device 7 is defined as follows. Class name: Optimal operation plan object Data name: Plant initial value Parameters required for optimal operation plan creation Method: Reference to each data Writing of each data Operation of optimal operation plan (mathematical programming, GA, plant know-how operation plan, etc.) Etc. Further, the object means of the local controller 8 is defined as follows. Class name: Local control controller object Data name: Control input Controlled quantity Control gain Sampling cycle etc. Method: Control (start, stop, etc.) Data (discharge quantity, etc.) On the other hand, the demand prediction data I in the I / F device 3 / F
Object 22, optimal operation data I / F object 23, local control data I / F object 2
4. The object means of the control data I / F object 25 is defined as follows.

Class name: Data I / F object for each function Data name: All data required for each function (Example) Data measured by each sensor (these are a collection of sensor objects) (Discharge amount, discharge pressure, Current, power, power factor, number of revolutions, torque, etc.) Method: operation for disclosing each data, etc. (Example) Data reference, data writing, etc. Also, the control object 4 is a demand prediction device 6, an optimal operation. It is defined according to the configuration of the device 7 and the local controller 8.

Therefore, when the object is formed as described above, the object means of the control object 4 is defined as follows.

Class name: Control object Data name: Equipment initial state Weight (optimization weight, PID gain, demand forecast parameter, etc.) Optimization condition Equipment operation schedule, etc. Method: Data reference, data writing Weight calculation (optimization problem Etc. Further, the evaluation object 5 is defined according to the configuration of the control object 4.

Therefore, when the object is formed as described above, the object means of the evaluation object 5 is defined as follows.

Class name: Evaluation object Data name: Evaluation index (Peak cut power, Night power usage, Total plant efficiency (COP), etc.) Evaluation formula Target value, etc. Method: Data reference, data writing Evaluation calculation (Least Square Method, Relative Error Calculation Method) The object means of the human interface object is defined as follows.

Class name: Human interface object Data name: Data to be displayed Screen format information data Method: Data screen display Data input / output The object defined in this way is based on the building air conditioning plant configuration, , For the number of units, define
By giving an entity, it can be used as one component of the control device.

However, when not converted into an object as described above, by using the I / F conversion object 11, it can be used as one component of the control device.

The object means of the I / F conversion object 11 is defined as follows.

Class name: I / F conversion object Data name: Data to be converted Parameters required for each method Method: Reference to each data Writing of each data etc. Here, used by the control object 4 and the evaluation object 5 An example of the weight calculation method and the evaluation method will be described below.

A method of determining the weight when the operator determines the weight of the objective function of the optimization problem will be described.

The operator inputs a priority indicating what operation is preferentially considered for the operation of the desired heat storage plant on the day.

The priority is represented by the ratio [%] of each priority in the entire objective function as follows.

For example, it is assumed that the following four priority items are considered. (1) _Je : Reduction of operating cost (2) _Jp : Peak cut (reduction of power consumption during peak hours) (3) _Jy : Use of nighttime power (4) _Js : Stable operation of heat source equipment Then, if the units of each priority item are aligned in units such as amount of money or energy, the priority will be

[0076]

(Equation 1) Can be represented by

There is no limit on the number of types of priority.

The weight determination assists in deciding the optimization weights that result in the optimization for realizing the input priority in the following manner.

That is, for example, when a mixed integer programming problem is applied as a means, it is formulated as an integer programming problem and solved as a problem for finding a heat pump (on / off) that minimizes an objective function under constraints. .

For example, the weight of optimization is _expressed as W _yk = (presence / absence of night heat storage) × (night heat storage weight ratio) W _yh = (presence / absence of peak cut) × (peak cut weight ratio), and an appropriate number Set the weight of.

The evaluation f is expressed by using the priority (%) input by the operator, and is defined as follows.

[0082]

(Equation 2) Here, J ^~ is the priority obtained by the mixed integer programming problem.

That is, although there are an arbitrary number of optimization weight candidates, whether they are optimal or not is evaluated by the above equation (5).

According to this equation (5), J
It is necessary to obtain ^- a.

For that purpose, it is necessary to formulate each weight as an optimal problem and to optimize it by the optimal operation device 7.

In order to optimize with this optimal operation device 7, it is necessary to describe it as an optimization problem and to input it to the optimal operation device 7.

Therefore, a weight corresponding to each priority is formulated as an optimal problem by searching for an appropriate position.

In this way, the weights are actually optimized for evaluation, and the weight that satisfies the above equation (5) is determined as the optimum weight.

As described above, the number of priorities is not limited.

Here, as an example, there are four types of J.

As described above, in the parameter adjustment support device 1 for plant monitoring and control according to the present embodiment, the I / F
Since the object 3, the control object 4, and the evaluation object 5 are created, the configuration is such that the contents of the plant monitoring and control device can be easily exchanged. It is possible to do.

Further, according to the plant monitoring and control parameter adjustment support apparatus of the present invention, the I / F conversion object 1
Since 1 is used, it is possible to adjust even a part that is not an object, so that it is possible to cope with any plant.

As described above, parameter adjustment can be performed extremely easily without the intervention of an operator having specialized knowledge.

[0094]

As described above, according to the plant monitoring and control parameter adjustment support apparatus of the present invention, the I / F object, the control object, and the evaluation object are created. Because the contents are configured to be easily exchanged,
It is possible to take out only the parts necessary for the plant and adjust the parameters.

Further, according to the parameter adjustment support apparatus for plant monitoring and control of the present invention, since an I / F conversion object is used, it is possible to adjust even a part which is not an object. It is possible to correspond to any plant.

As described above, parameter adjustment can be performed extremely easily without the intervention of an operator having specialized knowledge.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an embodiment of a parameter adjustment support device for plant monitoring and control according to the present invention.

FIG. 2 is a block diagram showing a detailed configuration example of a plant monitoring control device in the plant monitoring control parameter adjustment support device of the same embodiment.

FIG. 3 is a schematic diagram showing an example of a target plant 15 in FIG.

FIG. 4 is a block diagram showing a detailed configuration example of an I / F device 3 in the plant monitoring control parameter adjustment support device of the same embodiment.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Parameter adjustment support device for plant monitoring and control, 2 ... Plant monitoring and control device, 3 ... I / F device, 4 ... Control object, 5 ... Evaluation object, 6 ... Demand forecasting device, 7 ... Optimization device, 8 ... Local 9: Human interface, 10: Database, 11: I / F conversion object, 12: Method for predicting demand (GMDH, neuro, etc.), 13: Formulation of operation plan as optimization problem (BBM, GA, Mixed Integer Programming (MIP), etc.), 14 ... Methods for performing multiple controls (PID, PI
Etc.), 15: target plant, 16: building air conditioning heat source plant, 17: heat storage tank, 18: heat pump, 19: pump, 20: header, 21: heat demand, 22: demand I / F object for demand forecast, 23 ... Optimal operation data I / F object, 24: Local control data I / F object, 25: Control data I / F object.

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) G06F 17/60 120 G06F 17/60 120 (72) Inventor Futa Kurokawa 1 Toshiba-cho, Fuchu-shi, Tokyo Toshiba Fuchu Office (72) Inventor Koichi Ikeda 1-1-1, Shibaura, Minato-ku, Tokyo Toshiba Corporation Head Office (72) Inventor Akira Fujii 1 Toshiba-cho, Fuchu-shi, Tokyo Toshiba Fuchu Office F-term (reference) 5B049 BB07 CC21 DD00 DD05 EE03 EE12 EE14 EE56 FF00 FF09 5H004 GA36 GB04 GB05 GB06 GB07 HA14 KA13 KA16 KC03 KC06 KC10 KC12 KC13 KC23 KC28 KC47 KD46 KD67 LA16 LA19 MA40

Claims (13)

[Claims] 1. A plant monitoring and control parameter adjustment support device for supporting parameter adjustment in a plant monitoring and control device for monitoring and controlling a plant, wherein parameters and data necessary for adjustment in respective control blocks for monitoring and controlling the plant are provided. An I / F object operation device for exchanging data, a control object operation device for performing control by using parameters obtained by the I / F object operation device, and a result obtained by control by the control object operation device. An evaluation object operation device for using and evaluating by comparing with the result of (1), and a parameter adjustment support device for plant monitoring and control, comprising: 2. The parameter adjustment support device for plant monitoring and control according to claim 1, wherein a local control controller device for automatically adjusting a control gain such as an objectized PID gain is provided as the control block. A parameter adjustment support device for plant monitoring and control, characterized in that: 3. The parameter adjustment support device for plant monitoring and control according to claim 1, wherein the control block is a local control controller device for automatically adjusting a control gain such as an objectized PID gain, and a demand prediction parameter. And a demand forecasting device for adjusting the parameter. 2. A parameter adjustment support device for plant monitoring and control, comprising: 4. The parameter adjustment support device for plant monitoring and control according to claim 1, wherein the control block is a local control controller device for automatically adjusting a control gain such as an objectized PID gain, and a demand prediction parameter. A parameter adjustment support device for plant monitoring and control, comprising: a demand forecasting device that adjusts the parameter; and an optimal operation device that adjusts the optimization weight. 5. The parameter adjustment support device for plant monitoring and control according to claim 1, wherein, as the control block, a local control controller device for automatically adjusting a control gain such as an objectized PID gain, and a demand prediction parameter. A parameter adjustment support device for plant monitoring and control, comprising: a demand forecasting device that adjusts the parameters; and an optimization device that adjusts optimization weights and GA parameters. 6. The parameter adjustment support device for plant monitoring and control according to claim 1, further comprising, as the control block, a demand prediction device for automatically selecting a demand prediction model such as an objectized GMDH or neuro. A parameter adjustment support device for plant monitoring and control. 7. The parameter adjustment support device for plant monitoring and control according to claim 1, further comprising: an optimal operation device for automatically selecting an optimization method such as an objectized BBM or GA as the control block. A parameter adjustment support device for plant monitoring and control, characterized in that: 8. The parameter adjustment support device for plant monitoring and control according to claim 1, wherein the control block is not an object.
A local control controller for automatically adjusting a control gain such as a PID gain by converting the object into an object in the same manner as an object by the I / F conversion object, and a parameter adjustment support for plant monitoring control. apparatus. 9. The plant monitoring and control parameter adjustment support device according to claim 1, wherein the control block is not an object.
A local control controller for automatically adjusting a control gain such as a PID gain by converting the object into an object in the same manner as an object by the I / F conversion object; and a demand forecasting device for adjusting a demand forecast parameter. A parameter adjustment support device for plant monitoring and control. 10. The plant monitoring and control parameter adjustment support device according to claim 1, wherein when the control block is not an object-converted part, the object is converted into an object by an I / F conversion object. A local control controller device that automatically adjusts the control gain of the PID gain by converting into a parameter, a demand prediction device that adjusts a demand prediction parameter, and an optimal operation device that adjusts an optimization weight. Parameter adjustment support device for plant monitoring and control. 11. The parameter adjustment support device for plant monitoring and control according to claim 1, wherein when the control block is not made into an object, the control block is converted into an object by an I / F conversion object. A local control controller device for automatically adjusting a control gain such as a PID gain by converting to an object, a demand forecasting device for adjusting demand forecasting parameters, and an optimal driving device for adjusting optimization weights and GA parameters. A parameter adjustment support device for plant monitoring and control, comprising: 12. The parameter adjustment support device for plant monitoring and control according to claim 1, wherein if the control block is not an object-formed part, the control block is converted into an object by an I / F conversion object. A demand forecasting device for automatically selecting a demand forecasting model such as GMDH or neuro, and a parameter adjustment support device for plant monitoring and control. 13. The plant monitoring and control apparatus according to claim 1, wherein when the control block is not an object-formed part, the I / F conversion object uses a BBM, a GA or a GA in the same manner as the object-formed part. MI
A parameter adjustment support device for plant monitoring and control, comprising: an optimal operation device for automatically selecting an optimization method such as P.