JPH1115517A - Plant condition monitoring system - Google Patents

Abstract

(57) [Problem] To evaluate the stability margin of a plant with respect to operating operation using an approximate model focusing on the variation from the current plant operating state, even in an operating state where no alarm is generated. By performing a transition prediction for the driving operation, information relating to the driving operation is provided as information that can be easily recognized by the driver according to the driving situation. An input processing unit receives an observation signal from a plant and determines whether the signal changes.
And a model generation unit 4 that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal when it is determined that the observation signal has not changed. It has a stability margin evaluator 5 for deriving a transfer function from a model to evaluate a stability margin, and a state display unit 6 for displaying at least an evaluation result by the evaluator on a display device.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a plant for automatically recognizing the operating state of a large-scale plant such as a nuclear power plant, a thermal power plant, and a chemical plant, and providing the operating state as information to an operator or the like. It relates to a condition monitoring system.

[0002]

2. Description of the Related Art Generally, in a large-scale plant such as a nuclear power plant, in order to continue stable and safe operation, not only during normal operation but also when any failure occurs, various process states are checked by an operator. A monitoring control system is provided for providing Based on the process status provided by the monitoring and control system, the operator determines whether or not the plant is operating as planned, and if a failure occurs in the plant, promptly determines the situation that occurred. Take appropriate action.

[0003] Therefore, it is of the utmost importance for a supervisory control system to appropriately provide appropriate information to the operator according to the operating conditions of the plant. In particular, when the magnitude of the abnormality is large or when the propagation of the transient phenomenon is fast, the burden on the operator becomes large, which may lead to erroneous determination.

[0004] Therefore, it is important to detect a failure at a minor stage and to prevent the occurrence of an abnormality from occurring in order to ensure safe operation of the plant. Prevention of abnormal expansion is also desired from the viewpoint of improving the operation rate of the plant.
For this reason, development of a plant state monitoring system for the purpose of appropriately providing appropriate information to an operator according to the operation state of the plant has been performed.

[0005]

Conventionally, this type of plant condition monitoring system has been developed based on the state of occurrence of an alarm.
Systems have been developed that determine the operating state of the plant and provide process information related to the most alarming alarms.

However, such a conventional monitoring system automatically recognizes an event that has occurred after a certain failure has been detected in a plant, and presents a process state according to the situation. The determination of the operating state, such as the margin of stability of the plant, when the operating state is not performed has been left to the operator.

Further, in a situation in which no alarm is generated, a system for estimating a transition of a transient state by using a dynamic characteristic model simulating the dynamic characteristic of a plant and by associating with a process state that changes every moment. Although development is underway, even if the cause of the transient state is unspecified, there is a demand that it must be simulated in synchronization with the plant behavior, making practical use difficult.

The present invention has been made in view of the above circumstances, and has as its object to use an approximate model that focuses on fluctuations from the current plant operation state even in an operation state in which no alarm is generated. By evaluating the stability margin of the plant with respect to the driving operation and predicting the transition with respect to the driving operation, the information relating to the driving operation is provided as information that can be easily perceived by the operator according to the driving situation. An object of the present invention is to provide a plant state monitoring system that assists a worker in determining a situation.

[0009]

According to a first aspect of the present invention, there is provided a plant state monitoring system which receives an observation signal from a plant and determines whether or not the signal changes. When it is determined that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal, A stability margin evaluator for deriving a transfer function from the generated approximate model to evaluate a stability margin, and a state display unit for displaying at least an evaluation result by the evaluator on a display device.

According to the present invention, an observation signal of a plant such as a nuclear power plant is input to the input processing unit, where it is determined whether or not the observation signal has changed. When the input processing unit determines that the observation signal has not changed, the model generation unit generates an approximate model that approximates the plant dynamic characteristic using the current plant state as a perturbation point based on the observation signal. The stability margin evaluation unit evaluates the stability margin using the approximate model, and at least the evaluation result is displayed on a display device of the state display unit.

[0011] Therefore, the stability margin in the current operating state of the plant can be provided as information that can be easily recognized by the operator via the display device. For this reason, it is possible to assist the operator in determining the situation.

According to a second aspect of the present invention, there is provided a plant state monitoring system, comprising: an input processing unit which receives an observation signal from a plant and determines whether or not the signal changes; An operating state input unit for inputting an operating state, and when it is determined that the observation signal has not changed by the input processing unit, a plant operating state from the operating state input unit is approximated to a plant dynamic characteristic as a perturbation point. A model generation unit that generates an approximate model; a stability margin evaluation unit that derives a transfer function from the approximate model generated by the model generation unit and evaluates a stability margin when the operation state is shifted to; And a status display unit for displaying at least the evaluation result by the display device on a display device.

According to the present invention, when the operator inputs the operating state to be shifted to the operating state in the operating state input section,
The stability margin in the plant operation state to be shifted to in the future is evaluated by the stability margin evaluation unit, and the evaluation result is displayed on the display device.

Therefore, it is possible to provide the operator with a form that makes it easy for the operator to recognize the stability margin in the operating state to be shifted in the future via the display device.

According to a third aspect of the present invention, in the plant state monitoring system, the state display unit includes a current stability margin from the stability margin evaluation unit and a stability when the operation state shifts to a future operation state input to the operation state input unit. It is characterized by having means for displaying the margin with a frequency characteristic so as to be comparable.

According to the present invention, in addition to the operation of the second aspect of the present invention, the status display section can compare the current stability margin of the plant and the stability margin in the operating state to be shifted to in the future by frequency characteristics. , The operator can recognize the current and future stability margins while comparing them.

According to a fourth aspect of the present invention, there is provided a plant state monitoring system, comprising: an input processing unit which receives an observation signal from a plant and determines whether the signal changes; When it is determined that it has not been performed, a model generation unit that generates an approximate model that approximates the plant dynamic characteristics with the current plant state as a perturbation point based on this observation signal, and an operation operation scheduled to be performed in the plant in the future. A driving operation input unit to be input, a plant behavior prediction unit that predicts a behavior of a plant when the driving operation input to the driving operation input unit is executed using the approximation model, and at least prediction by the prediction unit. A state display unit that displays a result on a display device and displays a behavior of a plant state when the driving operation is performed. And butterflies.

According to the present invention, when the operator inputs a driving operation scheduled to be operated in the future to the driving operation input section,
The plant behavior when the operation operation scheduled to be performed in the future is performed is predicted by the plant behavior prediction unit, and the prediction result is displayed on the display device.

Therefore, it is possible to provide a prediction of the plant behavior when a driving operation scheduled to be performed in the future is performed in a form that is easy for the operator to recognize through the display device.

According to a fifth aspect of the present invention, there is provided a plant state monitoring system which receives an observation signal from a plant and determines whether or not the signal changes. A model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal when it is determined that the observation has not been performed; Among the signals, an interlock monitoring unit that monitors whether or not the interlock signal has changed, and the interlock operates when the interlock monitoring unit detects that the interlock signal has changed. An approximation model with the previous plant operation state as a perturbation point is read from the model generation unit, and this And plant behavior prediction unit locks to predict the behavior of the plant since when operated, characterized by having a a status display unit for displaying at least the prediction result on the display device by the prediction unit.

According to the present invention, it is determined by the interlock monitoring unit whether or not the interlock signal among the observation signals from the plant has changed, and if it is determined that the interlock signal has changed, Then, the plant behavior after the interlock is activated is predicted by the plant behavior prediction section, and the prediction result is displayed on the display device.

Therefore, when the interlock of the plant is activated, the prediction of the plant behavior after the interlock is activated can be provided to the operator via the display device.

According to a sixth aspect of the present invention, there is provided a plant state monitoring system which receives an observation signal from a plant and determines whether or not the signal changes. The input processing unit changes the observation signal. When it is determined that it has not been performed, a model generating unit that generates an approximate model that approximates the plant dynamic characteristics with the current plant state as a perturbation point based on this observation signal, and an operation operation scheduled to be performed in the plant in the future. A driving operation input unit to be input, a sensitivity deriving unit that derives the sensitivity of the observed value to each driving operation using the approximation model, and a driving operation input unit based on the sensitivity of the observed value. A monitoring parameter selecting unit for selecting a parameter to be monitored that has a large change when a driving operation is performed; and displaying at least a result of the selection by the selecting unit. Display device, characterized by having a, a status display unit for displaying the parameter to be monitored when performing the driving operation.

According to the present invention, when a driver inputs a driving operation to be performed in the future to the driving operation input unit,
A parameter to be monitored when executing a driving operation scheduled to be performed in the future is selected by a monitoring parameter selection unit, and the selection result is displayed on a display device.

Therefore, parameters to be monitored when performing a driving operation scheduled to be operated in the future can be provided to the operator via the display device.

According to a seventh aspect of the present invention, in the plant state monitoring system, the state display unit displays the sensitivity of the observed value for each operation operation derived by the sensitivity derivation unit on a display device together with the plant configuration diagram. Characterized by having means for presenting the strength of spatial association within.

According to this invention, in addition to the operation of the invention of claim 6, the sensitivity of the observed value for each driving operation derived by the sensitivity derivation unit is displayed on the state display unit together with the plant configuration diagram. In addition, observation values for each operation can be provided to the operator in association with the image of the plant configuration, and the recognition of the operator can be improved.

The plant condition monitoring system according to the invention of claim 8 is an input processing unit which receives an observation signal from a plant and determines whether or not this signal changes, and the input processing unit changes the observation signal. A model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal when it is determined that the observation has not been performed; Among the signals, a driving operation monitoring unit that monitors a driving operation signal, a sensitivity deriving unit that derives the sensitivity of an observed value for each driving operation using the approximate model, and a sensitivity derived by the sensitivity deriving unit. A monitoring parameter selection unit for selecting parameters to be monitored in accordance with the driving operation read by the driving operation monitoring unit; And having at least a status display unit for displaying the parameter on a display device, was.

According to the present invention, it is determined by the operation monitoring section whether or not the operation signal among the observation signals from the plant has changed, and if it is determined that the operation signal has changed here. The parameters that need to be monitored in accordance with the executed driving operation are selected by the monitoring parameter selection unit, and the selection results are displayed on the display device.

Therefore, it is possible to provide the operator with parameters that need to be monitored in accordance with the executed driving operation.

According to a ninth aspect of the present invention, in the plant state monitoring system, the state display unit has means for displaying a plurality of monitoring parameters selected by the monitoring parameter selecting unit on a display device as a trend graph on the same time axis. It is characterized by the following.

According to the present invention, in addition to the function of the invention described in claim 6 or 8, since a plurality of monitoring parameters are displayed on the display device in the form of a trend graph on the same time axis on the display device. A plurality of monitoring parameters can be provided to the operator in a state of being simultaneously compared.

A plant state monitoring system according to a tenth aspect of the present invention provides an input processing unit that receives an observation signal from a plant and determines whether the signal changes. The input processing unit changes the observation signal. When it is determined that it has not been performed, a model generation unit that generates an approximate model that approximates the plant dynamic characteristics with the current plant state as a perturbation point based on the observed signal, and derives a transfer function from the approximate model to stabilize A stability margin evaluator for evaluating the margin, an operation stability sensitivity evaluator for evaluating the sensitivity of the stability margin for the driving operation parameter in the observation signal using the transfer function obtained by the stability margin evaluator, A recommended operation determining unit that determines a driving operation capable of increasing the stability margin based on the sensitivity of the stability margin evaluated by Plant state monitoring system and having a state display unit for displaying at least the determination result to the display device.

According to the present invention, the recommended operation determination unit determines the operation that can increase the stability margin and improve the plant stability based on the sensitivity of the stability margin evaluated by the operation stability sensitivity evaluation unit. A recommended determination is made, and the determination result is displayed on the display device.

Therefore, it is possible to provide the operator with an effective operation for improving the stability of the plant.

The plant condition monitoring system according to the eleventh aspect of the present invention provides an input processing unit which receives an observation signal from a plant and determines whether or not the signal changes. The input processing unit changes the observation signal. When it is determined that it has not been performed, a model generation unit that generates an approximate model that approximates the plant dynamic characteristics with the current plant state as a perturbation point based on the observed signal, and derives a transfer function from the approximate model to stabilize A stability margin evaluating unit for evaluating a margin, a driving operation input unit for inputting a driving operation to be performed in the plant in the future, and a driving operation input to the driving operation input unit using the approximation model were executed. The plant behavior prediction unit for predicting the behavior of the plant at the time, the sensitivity of the stability margin when the operation operation input to the operation operation input unit is executed, An operation stability sensitivity evaluation unit that evaluates using the transfer function derived by the constant margin evaluation unit, and a state display unit that displays at least the evaluation result of the sensitivity evaluation unit and the plant behavior prediction. Plant condition monitoring system.

According to the present invention, when a driver inputs a driving operation to be performed in the future to the driving operation input unit,
The sensitivity of the stability margin when this driving operation is performed is evaluated by the operation stability sensitivity evaluation unit, and the plant behavior prediction is predicted by the plant behavior prediction unit. The evaluation results of these sensitivity evaluation units and the plant behavior The prediction is displayed on a display device.

Therefore, it is possible to provide the operator with a stability margin and a prediction of the plant behavior when the operation operation to be performed in the future is performed.

According to a twelfth aspect of the present invention, there is provided a plant state monitoring system which receives an observation signal from a plant and determines whether or not the signal changes. A model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal when it is determined that the model has not been generated; and an approximate model generated by the model generation unit. A stability margin estimating unit for deriving a transfer function to evaluate a stability margin, and an interlock monitoring unit for monitoring whether or not an interlock signal is changed among observation signals of the plant input to the input processing unit. Generated when the interlock monitor detects that the interlock signal is changing, before the interlock is activated. A plant behavior prediction unit that reads an approximation model having the plant operation state as a perturbation point from the model generation unit and predicts the behavior of the plant using the approximation model, and the plant behavior prediction unit that is predicted by the plant behavior prediction unit. Comparing the behavior prediction and the behavior of the observation signal, and based on the difference, a sensor diagnosis unit that determines whether a sensor corresponding to the observation value is normal, and at least a diagnosis result by the diagnosis unit to a display device. And a status display unit for displaying.

According to the present invention, the interlock monitoring unit determines whether or not the interlock signal among the observation signals from the plant has changed, and if it is determined that the interlock signal has changed, The plant behavior after the interlock is activated is predicted by the plant behavior prediction unit. Further, the plant behavior prediction is compared with the observation value by the sensor diagnosis unit, and when the difference exceeds a predetermined threshold value, it is determined that the sensor corresponding to the observation value has failed, and the diagnosis result is displayed on the display device. Is displayed.

Therefore, when the interlock of the plant is activated, the soundness of the sensor at the time of a transient change after the interlock is activated can be provided to the operator via the display device.

According to a thirteenth aspect of the present invention, there is provided a plant state monitoring system which receives an observation signal from a plant and determines whether or not the signal changes. The input processing unit changes the observation signal. A model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal when it is determined that the observation has not been performed; Among the signals, a driving operation monitoring unit that determines whether a driving operation signal has changed, a driving operation input unit that inputs a driving operation scheduled to be performed in the plant in the future, and the driving operation monitoring unit that performs the driving operation. When it is determined that the operation signal is changing, the sensitivity of deriving the sensitivity of the observed value to each driving operation from the driving operation input unit using the approximation model. A deriving unit, a monitoring parameter selecting unit that selects a parameter to be monitored in accordance with the driving operation read by the driving operation monitoring unit based on the sensitivity derived by the sensitivity deriving unit, and a monitoring parameter selecting unit that is selected by the selecting unit. And a status display unit for displaying at least the monitoring parameter.

According to the present invention, it is determined by the operation monitoring section whether or not the operation signal has changed among the observation signals from the plant, and when it is determined that the operation signal has changed, A parameter that needs to be monitored is selected by the monitoring parameter selection unit in accordance with the driving operation and each operation input to the driving operation input unit, and the selection result is displayed on the display device.

Therefore, it is possible to provide the operator with parameters that need to be monitored in accordance with the executed driving operation.

[0045]

BRIEF DESCRIPTION OF THE DRAWINGS FIG.
This will be described with reference to FIG. In these figures, the same or corresponding parts are denoted by the same reference characters.

FIG. 1 is a block diagram showing a functional configuration of a plant state monitoring system 1 according to the first embodiment of the present invention. The plant state monitoring system 1 includes an input processing unit 3 for inputting a plurality of observation values M obtained from a plant 2 such as a nuclear power plant or a chemical plant, a model generation unit 4, a stability margin evaluation unit 5, a state display unit 6. Having.

The input processing section 3 periodically determines whether or not the observed value M has changed.

The model generation unit 4 stores the basic formula of the approximate model that approximates the dynamic characteristics of the plant, and when the input processing unit 3 determines that the observation signal M has not changed,
This is to generate an approximate model based on the observation value M.

The stability margin evaluator 5 uses the transfer function of the approximate model generated by the model generator 4 to
This is to evaluate the stability margin. The status display section 6 displays the stability margin evaluated by the stability margin evaluation section 5 on a display device.

FIG. 2 is a flowchart showing the processing procedure of the plant state monitoring system 1 configured as described above. In FIG. 2, S1 to S3 show the steps of the flowchart.

First, the first step S1 shows the processing in the input processing unit 3, in which the observation signal M of the plant is periodically taken in, and it is determined whether or not the observation signal M is changing. For example, assuming that a change determination threshold value for the value Mt of the observation signal M is Me, it is determined that there is no change when a condition represented by the following equation 1 is satisfied.

[0052]

(Equation 1)

The second step S2 is a process in the model generation unit 4. If the input processing unit 3 determines that the observation signal M has not changed, the observation is performed using the basic formula of the approximate model stored in advance. An approximate model with the state of the value Mt as a perturbation point is derived. For example, the law of conservation of momentum of the fluid flowing through the pipe i is expressed by the following two equations.

[0054]

(Equation 2)

Then, the flow rate Wt _i of the observed value Mt is set as a perturbation point, and the square term of the fluctuation component from the perturbation point is ignored, thereby obtaining the following three approximate expressions.

[0056]

(Equation 3)

The mass conservation law at the branch point j of the pipe is represented by the following four equations.

[0058]

(Equation 4) Here, it is assumed that Lj pipes are connected to the branch point j, and the flow rate is treated as positive when entering the branch point and as negative when exiting from the branch point.

Approximate expressions based on the law of conservation of momentum are derived by the number of pipes, and can be expressed by the following determinant (5).

[0060]

(Equation 5)

The equations based on the law of conservation of mass are derived by the number of branch points, and can be expressed by the following determinant (equation 6).

[0062]

(Equation 6)

As described above, the observed flow rate Wt
An approximate model in which _i (i = 1,... n) is a perturbation point is derived.

The third step S3 is a process in the stability margin evaluator 5, in which the transfer function of the approximate model generated by the model generator 4 is derived and the stability margin is evaluated. For example, the following two equations (Equations 7 and 8) are obtained by positively transforming Equation (5).

[0065]

(Equation 7)

(Equation 8)

P is eliminated from the above equation (7, 8), and
The following equation (9) is obtained by using equation (6).

[0067]

(Equation 9)

It is also assumed that a specific flow rate Wc is adjusted by a specific boosting head Phc according to the following control law (Equation 10).

[0069]

(Equation 10) Here, kc: because of the control gain, the above equation (9) and (1)
From the equation (0), the loop function of the control system is as the following equation (11).

[0070]

[Equation 11]

Then, the frequency characteristic of the equation (11) is obtained, and the gain margin Gs and the phase margin Fs, which are indicators of the stability margin, can be obtained.

After the third step S3, the status display unit 6
The gain margin Gs and the phase margin Fs derived by the stability margin evaluation unit 5 are displayed on the display device.

Therefore, according to the first embodiment, the stability margin in the current operation state of the plant 2 can be presented to the operator.

FIG. 3 is a block diagram of a plant state monitoring system 1A according to a second embodiment of the present invention. The plant state monitoring system 1A includes an input processing unit 3, an operation state input unit 7, a model generation unit 4, a stability margin evaluation unit 5, and a state display unit 6 that receive an observation signal M from the plant 2.
It is characterized in that the operating state input unit 7 is provided in the first embodiment.

The operating state input section 7 is operated by an operator.
The operation state to be shifted in the future is input, and the operation state Ck (k = 1, 2,...) Planned in the future is input.
..) Are stored in advance, and the operating state Cc selected and input by the operator is read.

Accordingly, similarly to the first embodiment, the observation signal M from the plant 2 is input to the input processing unit 3, where it is determined whether or not the observation signal M has changed. If it is determined that the observation signal M has not changed, the model generation unit 4 generates an approximate model that approximates the plant dynamic characteristics using the current plant state as a perturbation point based on the observation signal M.

The stability margin evaluator 5 reads the operating state which is input to the operating state input part 7 by the operator's operation of the operating tool and the like, and is to be shifted to the future. Then, an approximation model with と し た as a perturbation point is derived, and the stability margin in the operating state to be shifted in the future is evaluated. This stability margin evaluation is displayed on a display device (not shown) of the status display unit 6.

Therefore, according to the plant state monitoring system 1A, it is possible to automatically provide the operator with an easy-to-recognize stability margin in the operating state of the plant 2 to be shifted to the future via the display device. .

FIG. 4 is a block diagram of a plant state monitoring system 1B according to a third embodiment of the present invention. This plant state monitoring system 1B has an input processing unit 3, a model generation unit 4, a state display unit 6, an operation input unit 8, and a plant behavior prediction unit 9 similar to those in the above embodiments.

The driving operation input section 8 allows the operator to input a driving operation to be shifted to in the future. The driving operation Ok planned in the future (k = 1, 2,...)
..) Are stored in advance, and the driving operation Oc selected by the operator from these driving operations is read.

On the other hand, the plant behavior prediction section 9 predicts the behavior of the plant when the operation input to the operation input section 8 is executed by using the approximate model generated by the model generation section 4. Things.

That is, the plant behavior prediction unit 9 calculates the plant behavior when the operation operation Oc is executed, using the approximate model in which the current operation state generated by the model generation unit 4 is used as a perturbation point.

For example, when one of the booster heads Phc represented by the approximate model of the above equation (5) is raised by 10%, the time history change is calculated by simultaneously combining the equations (5) and (6). The result is displayed on the display device of the status display unit 6.

Therefore, according to this embodiment, it is possible to automatically provide a prediction of a plant behavior when a driving operation having a plan to be performed in the future is executed in a form that is easy for the operator to recognize via the display device. .

FIG. 5 is a block diagram of a plant state monitoring system 1C according to a fourth embodiment of the present invention. This plant state monitoring system 1C is characterized in that the operation input unit 8 according to the third embodiment is replaced with an interlock monitoring unit 10.

The interlock monitoring unit 10 outputs the observation signal M
To monitor the change of the interlock signal in the observation signal M. That is, the interlock monitoring unit 10 periodically determines whether the interlock signal of the observation signal M of the plant has changed. When it is determined that the interlock signal has changed, the activated interlock is notified to the plant behavior prediction unit 9.

Upon receiving this notification, the plant behavior predicting section 9 uses the approximate model in which the operating state generated before the interlock signal is activated by the model generating section 4 as a perturbation point is used to activate the interlock. , To calculate the plant behavior after the operation. For example, the above (5)
Ph of one of the boost heads represented in the approximate model of the equation
When the pump corresponding to c is tripped, Phc is set to zero, the equations (5) and (6) are simultaneously calculated to calculate the time history change, and the result is displayed on the display device of the status display unit 6.

Therefore, according to this embodiment, when the interlock of the plant 2 operates, the prediction of the plant behavior after the operation can be automatically presented to the operator via the display device.

FIG. 6 is a block diagram of a plant state monitoring system 1D according to a fifth embodiment of the present invention. This plant state monitoring system 1D includes an input processing unit 3, an operation operation input unit 8, a model generation unit 4, a state display unit 6, a sensitivity derivation unit 11, and a monitoring parameter selection unit 1 similar to those in the above embodiment.
2

The sensitivity deriving unit 11 derives the sensitivity of the observed value to each plant operation using the approximate model generated by the model generating unit 4. That is, the sensitivity deriving unit 11 calculates the change of the observed value M when all the driving operations of the plant 2 are performed using the approximation model generated by the model generating unit 4. Then, the sensitivity of the observed value for each driving operation is derived.

For example, a change in the flow rate when the boosting head represented by the approximation model of the equation (5) is changed by 1% is calculated by simultaneously combining the equations (5) and (6). This calculation is performed for each boosting head, and the flow rate change when Ph1 is changed is stored as (dW11, dW11, dW12,... DW1n), and similarly, the flow rate change for Ph2,. It is stored and notified to the monitoring parameter selection unit 12 as the sensitivity.

On the other hand, the monitoring parameter selecting unit 12 performs the driving operation Oc read by the driving operation input unit 7 based on the sensitivity of the observed value M for each driving operation derived by the sensitivity deriving unit 11. In such a case, an observation signal having a large change is selected.

For example, when it is input to operate Phc in the step-up head expressed by the approximation model of the equation (5), the flow rate change (dWc1, dWc2,.
For each of Wcn), a threshold determination is performed, and a flow rate exceeding the threshold is selected as a parameter to be monitored. This monitoring parameter is displayed on the display device of the status display unit 6.

Therefore, according to this embodiment, parameters to be monitored when performing a driving operation can be automatically presented to the operator via the display device.

FIG. 7 is a block diagram of a plant state monitoring system 1E according to a sixth embodiment of the present invention. This plant state monitoring system 1E is characterized in that the operation input unit 8 according to the fifth embodiment shown in FIG.

The operation monitoring section 13 periodically determines whether or not the operation signal among the observation signals M from the plant 2 has changed. If the operation signal has changed, the changed operation The signal is notified to the monitoring parameter selection unit 12.

In response to the notification, the monitoring parameter selecting unit 12 determines the driving operation Oc read by the driving operation monitoring unit 13 based on the sensitivity of the observed value for each driving operation derived by the sensitivity deriving unit 11. When this is done, an observation signal with a large change is selected as a parameter to be monitored. This monitoring parameter is displayed on the display device of the status display unit 6.

Therefore, according to this embodiment, parameters that need to be monitored in accordance with the executed driving operation can be automatically presented to the operator via the display device.

FIG. 8 is a block diagram of a plant state monitoring system 1F according to a seventh embodiment of the present invention. This plant state monitoring system 1F includes an input processing unit 3, a model generation unit 4, a stability margin evaluation unit 5, a state display unit 6, an operation stability sensitivity evaluation unit 14, and a recommended operation determination unit 15 similar to those in the above embodiment. .

The operation stability sensitivity evaluation section 14 evaluates the sensitivity of the stability margin to the operation parameters using the transfer function derived by the stability margin evaluation section 5. For example, a change in flow rate when the pressure rising head represented by the approximation model of Expression (5) is changed by 1% is calculated by simultaneously combining Expressions (5) and (6). This calculation is performed for each boosting head, and the flow rate when Ph1 is changed is calculated as (W′11, W′1
2, W′1n). Further, using a loop transfer function of the control system using the calculated flow rate as a perturbation point, a gain margin and a phase margin as indices of a stability margin are calculated by (Gs1,
Fs2). Similarly, the gain margin and the phase margin for Ph2,... Phm are calculated and stored.

Based on the gain margin and the phase margin for each driving operation derived by the operation stability sensitivity evaluation unit 14, the recommended operation determining unit 15 performs the operation with the largest stability margin, that is, improves the plant stability. Select a driving operation that is effective to perform The selected driving operation is displayed on the display device of the status display unit 6.

Therefore, according to this embodiment, it is possible to automatically show the operating operation effective for improving the stability of the plant 2 to the operator via the display device.

FIG. 9 is a block diagram of a plant state monitoring system 1G according to an eighth embodiment of the present invention. This plant state monitoring system 1G includes an input processing unit 3, an operation input unit 8, a model generation unit 4, a stability margin evaluation unit 5, a state display unit 6, a plant behavior prediction unit 9, and a sense of operation stability similar to those in the above embodiment. It has a degree evaluation unit 14.

The plant behavior predicting section 9 includes the model generating section 4
The driving operation Oc input to the driving operation input unit 8 using the approximate model in which the current driving state generated in
Is executed, the subsequent plant behavior is calculated.

The operation stability sensitivity evaluation unit 14 uses the transfer function derived by the stability margin evaluation unit 5 to calculate the sensitivity of the stability margin when the driving operation Oc input to the driving operation input unit 8 is performed. To evaluate. As a result, the predicted plant behavior and the stability margin are displayed on the display device of the status display unit 6.

Therefore, according to this embodiment, the prediction of the plant behavior and the stability margin when the planned operation to be performed in the future is executed can be presented to the operator via the display.

FIG. 10 is a block diagram of a plant state monitoring system 1H according to a ninth embodiment of the present invention. This plant state monitoring system 1H includes an input processing unit 3, an interlock monitoring unit 10, a model generation unit 4, a plant behavior prediction unit 9, a state display unit 6, and a sensor diagnosis unit 16 similar to those in the above embodiment.

The sensor diagnosis unit 16 diagnoses the soundness of the sensor by comparing the plant behavior predicted by the plant behavior prediction unit 9 with the observation signal. That is, the sensor diagnosis unit 16 periodically compares the plant behavior predicted by the plant behavior prediction unit 9 with the observed value M, and when the difference exceeds a predetermined threshold value, corresponds to the observed value M. The sensor of the plant is diagnosed as having failed, and the result of the diagnosis is displayed on the display device of the status display unit 6.

Therefore, according to this embodiment, when the interlock is activated, the soundness of the sensor at the time of a transient change after the activation can be diagnosed and presented to the operator via the display device.

FIG. 11 is a block diagram of a plant state monitoring system 1I according to a tenth embodiment of the present invention. This plant state monitoring system 1I includes an input processing unit 3, an operation operation input unit 8, and an operation operation monitoring unit 1 similar to those in the above embodiment.
3, a model generation unit 4, a sensitivity derivation unit 11, a monitoring parameter selection unit 12, and a state display unit 6.

The driving operation input section 8 allows the operator to input a driving operation to be shifted in the future in the same manner as in the above embodiment, and stores in advance driving operations planned in the future. The driving operation selected by the operator from the operations is read and given to the sensitivity deriving unit 11.

On the other hand, the operation monitoring unit 13 periodically determines whether or not the operation signal has changed among the observation signals M from the plant 2, and if the operation signal has changed, the change is determined. The operation signal thus obtained is supplied to the sensitivity deriving unit 11.

The sensitivity deriving unit 11 calculates a change in the observed value M when the driving operation is performed for all the driving operations by using the approximate model generated by the model generating unit 4, It derives the sensitivity of the observed value to each driving operation.

The monitoring parameter selecting unit 12 is the sensitivity deriving unit 1
Based on the sensitivity of the observed value for each driving operation derived in 1, a parameter such as a flow rate that exceeds a predetermined threshold when the driving operation read by the driving operation input unit 7 is executed is to be monitored. And the result of the selection is displayed on the display device of the status display unit 6.

Therefore, according to this embodiment, it is possible to automatically provide parameters to be monitored to the operator via the display when executing a driving operation planned in the future.

FIG. 12 shows a first display example of the status display section 6 on the display device. This is, for example, in the second embodiment described above, the loop transfer characteristic of the control system after the shift to the operating state derived by the stability margin evaluating unit 5 (after change) is displayed as a frequency characteristic by a broken line in the figure, and An example is shown in which a loop transfer characteristic of the current control system is displayed as a frequency characteristic together with a solid line in the figure.

According to the first display example, it is possible to provide the operator with the degree of change in the stability margin in the operating state to be shifted in the future as a frequency characteristic to the operator. The operator can be made aware at the same time.

FIG. 13 shows a second display example of the status display unit 6 by the display device. This shows a case where the sensitivity of the monitoring parameter to the operation parameter derived by the sensitivity deriving unit 11 is displayed on the plant scheme configuration diagram by, for example, the size of an arrow in the fifth embodiment or the like. .

According to the second display example, the relationship between the operation parameters in the plant 2 and the monitoring parameters can be presented to the operator together with the image of the plant 2 and the operator can monitor the monitoring parameters. Can improve understanding and recognition.

FIG. 14 shows a third display example on the display device of the status display section 6. For example, in the fourth or fifth embodiment or the like, a plurality of monitoring parameters (for example, flow rates A, B, and C) selected by the monitoring parameter selection unit 12 are displayed in a trend graph on the same time axis of the display device. It shows the case of displaying.

According to the third display example, the time history trend of the parameter to be monitored selected by the monitoring parameter selection section 12 can be automatically provided to the operator according to the plant state.

[0122]

As described above, according to the present invention,
Using an approximation model under the current plant condition or the assumed plant condition, it is possible to evaluate the stability margin and determine and display the operation method for improving the stability, as well as the plant operation and interlock operation. The behavior of the state can be easily predicted, and parameters to be monitored can be selected and displayed according to the operating state.

Further, by displaying these judgment results, prediction results and diagnosis results based on a time-series viewpoint and a spatial viewpoint, accurate plant information according to the plant state is automatically and easily recognized. Can be provided to the operator, and the stability and safety of plant operation can be improved.

[Brief description of the drawings]

FIG. 1 is a functional block diagram of a first embodiment of the present invention.

FIG. 2 is a processing flowchart of the first embodiment.

FIG. 3 is a functional block diagram according to a second embodiment of the present invention.

FIG. 4 is a functional block diagram according to a third embodiment of the present invention.

FIG. 5 is a functional block diagram according to a fourth embodiment of the present invention.

FIG. 6 is a functional block diagram according to a fifth embodiment of the present invention.

FIG. 7 is a functional block diagram according to a sixth embodiment of the present invention.

FIG. 8 is a functional block diagram according to a seventh embodiment of the present invention.

FIG. 9 is a functional block diagram according to an eighth embodiment of the present invention.

FIG. 10 is a functional block diagram according to a ninth embodiment of the present invention.

FIG. 11 is a functional block diagram according to a tenth embodiment of the present invention.

FIG. 12 is a diagram showing a first display example of the display device of the present invention.

FIG. 13 is a diagram showing a second display example of the display device of the present invention.

FIG. 14 is a diagram showing a third display example of the display device of the present invention.

[Explanation of symbols]

 1, 1A to 1I Plant status monitoring system 2 Plant 3 Input processing unit 4 Model generation unit 5 Stability margin evaluation unit 6 Status display unit 7 Operation status input unit 8 Operation operation input unit 9 Plant behavior prediction unit 10 Interlock monitoring unit 11 Sensitivity Derivation unit 12 Monitoring parameter selection unit 13 Operation monitoring unit 14 Operation stability sensitivity evaluation unit 15 Recommended operation determination unit 16 Sensor diagnosis unit

Claims (13)

[Claims] 1. An input processing unit that receives an observation signal from a plant and determines whether the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; A stability margin evaluation unit that derives a transfer function from an approximate model generated by the model generation unit and evaluates a stability margin, and a state display unit that displays at least an evaluation result by the evaluation unit on a display device. Characteristic plant status monitoring system. 2. An input processing unit that receives an observation signal from a plant and determines whether the signal changes.
An operating state input unit for inputting a plant operating state to be shifted in the future in the plant, and a plant operating state from the operating state input unit when the input processing unit determines that the observation signal has not changed. A model generation unit that generates an approximate model that approximates the plant dynamic characteristic with the perturbation point as a perturbation point, and evaluates a stability margin when the operation state is shifted by deriving a transfer function from the approximate model generated by the model generation unit. A plant state monitoring system, comprising: a stability margin evaluator that performs the operation; 3. The status display unit is capable of comparing the current stability margin from the stability margin evaluation unit with the stability margin in the case of shifting to a future operation state input to the operation state input unit using frequency characteristics. The plant status monitoring system according to claim 2, further comprising a display unit. 4. An input processing unit that receives an observation signal from a plant and determines whether the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; An operation input unit for inputting an operation to be performed in the plant in the future, and a plant behavior for predicting a behavior of the plant when the operation input to the operation input is executed by using the approximation model. A plant state monitoring system, comprising: a prediction unit; and a state display unit that displays at least a prediction result by the prediction unit on a display device and displays a behavior of a plant state when the driving operation is performed. 5. An input processing unit for receiving an observation signal from a plant and determining whether the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; An interlock monitoring unit that monitors whether or not the interlock signal has changed among the plant observation signals input to the input processing unit, and that the interlock monitoring unit detects that the interlock signal has changed Then, an approximate model with the plant operating state before the interlock is activated as a perturbation point is read from the model generation unit, and using this approximate model, the behavior of the plant after the interlock is activated is used. A plant behavior prediction unit for predicting,
A status display unit for displaying at least a result of prediction by the prediction unit on a display device. 6. An input processing unit that receives an observation signal from a plant and determines whether the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; A driving operation input unit for inputting a driving operation to be performed in the future in the plant, a sensitivity deriving unit that derives the sensitivity of the observed value for each driving operation using the approximation model, based on the sensitivity of the observed value. A monitoring parameter selection unit that selects a parameter to be monitored that has a large change when the driving operation input to the driving operation input unit is performed; and displaying at least a selection result by the selection unit on a display device, And a status display unit for displaying a parameter to be monitored when the operation is performed. 7. The status display unit displays the sensitivity of the observed value for each operation operation derived by the sensitivity derivation unit on a display device together with the plant configuration diagram, and displays the spatial relation strength in the plant. The plant status monitoring system according to claim 6, further comprising: means for presenting the following. 8. An input processing unit that receives an observation signal from a plant and determines whether the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; Among the observation signals of the plant input to the input processing unit, a driving operation monitoring unit that monitors a driving operation signal, and a sensitivity deriving unit that derives the sensitivity of an observation value for each driving operation using the approximation model, A monitoring parameter selecting unit for selecting a parameter to be monitored in response to the driving operation read by the driving operation monitoring unit based on the sensitivity derived by the sensitivity deriving unit; and displaying at least the parameter selected by the selecting unit. And a status display unit for displaying the status on a device. 9. A status display unit having means for displaying a plurality of monitoring parameters selected by the monitoring parameter selection unit on a display device as a trend graph on the same time axis. The plant condition monitoring system as described in the above. 10. An input processing unit that receives an observation signal from a plant and determines whether the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; A stability margin evaluator for deriving a transfer function from an approximate model to evaluate a stability margin, and an operation for evaluating the sensitivity of the stability margin to the driving operation parameter in the observation signal using the transfer function obtained by the stability margin evaluator. A stability sensitivity evaluation unit, a recommended operation determination unit that determines a driving operation capable of increasing the stability margin based on the sensitivity of the stability margin evaluated by the evaluation unit, and at least a determination result by the determination unit is displayed. And a status display unit for displaying the status on a device. 11. An input processing unit that receives an observation signal from a plant and determines whether the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; A stability margin evaluation unit that derives a transfer function from an approximate model to evaluate a stability margin, an operation input unit that inputs an operation to be performed in the plant in the future, and the operation input unit that uses the approximate model. A plant behavior prediction unit that predicts the behavior of the plant when the operation operation input to is executed,
An operation stability sensitivity evaluation unit that evaluates the sensitivity of the stability margin when the driving operation input to the driving operation input unit is performed using a transfer function derived by the stability margin evaluation unit, and at least the sensitivity evaluation unit And a state display unit that displays the plant behavior prediction and the plant behavior prediction. 12. An input processing unit that receives an observation signal from a plant and determines whether the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; A stability margin evaluation unit that derives a transfer function from the approximate model generated by the model generation unit and evaluates a stability margin, and among the observation signals of the plant input to the input processing unit, the interlock signal changes. An interlock monitor for monitoring whether or not the interlock signal has changed, and a perturbation point indicating a plant operating state generated before the interlock is activated when the interlock signal is detected to be changing. Plant behavior prediction for reading the approximate model obtained from the model generation unit and predicting the behavior of the plant using the approximate model. And comparing the behavior prediction of the plant and the behavior of the observation signal predicted by the plant behavior prediction unit, and determining, based on the difference, whether a sensor corresponding to the observation value is normal or not. A plant state monitoring system comprising: a display unit for displaying at least a diagnosis result by the diagnosis unit on a display device. 13. An input processing unit which receives an observation signal from a plant and determines whether or not the signal changes.
When the input processing unit determines that the observation signal has not changed, a model generation unit that generates an approximate model that approximates a plant dynamic characteristic with the current plant state as a perturbation point based on the observation signal; Among the observation signals of the plant input to the input processing unit, an operation monitoring unit that determines whether the operation signal has changed, and an operation input unit that inputs an operation scheduled to be performed in the plant in the future. And a sensitivity derivation that derives the sensitivity of an observed value for each driving operation from the driving operation input unit using the approximation model when the driving operation monitoring unit determines that the driving operation signal is changed. And a monitor for selecting a parameter to be monitored corresponding to the driving operation read by the driving operation monitoring unit based on the sensitivity derived by the sensitivity deriving unit. A parameter selection unit, the plant condition monitoring system characterized by having a a status display unit for displaying at least monitoring parameters selected by the selection unit.