JPH0916245A - Plant operation supporting device - Google Patents

Abstract

PURPOSE: To securely reduce the possibility that it takes a long time to converge an abnormal state and a plant stops. CONSTITUTION: To a processor 1, a 1st memory 2 which stores knowledge regarding the cause of abnormality of the plant, a 2nd memory 3 which stores knowledge regarding operation against the abnormality of the plant, and an output device 5 which outputs abnormality cause information on the plant and an operation guide for the abnormality of the plant are connected. The processor 1 detects the abnormality of the plant 11 on the basis of process quantities of the plant 1 obtained through a communication input device 4 and the knowledge stored in the 1st memory 2 and 2nd memory 3 to identify the cause of the abnormality, determines the operation guide for the abnormality, and detects the operation of a plant operator and also suppresses the output of the operation guide by the output device 5 for a desired time.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a plant operation support device applied to the operation support of a thermal power plant or the like.

[0002]

2. Description of the Related Art In recent years, various plants have been equipped with an abnormality diagnosis device and a driving support device for supporting driving operation.
However, although the operation guides output by them show the cause of the abnormality and the corresponding operation, they do not consider the delay of the response of the plant to the operation of the operator. The conventional plant operation support device will be described below with reference to the processing flow of FIG.

First, the plant data is taken in (step A1), it is checked whether or not an abnormality has occurred with respect to all the events to be supported, and if there is an abnormality, a possible cause is extracted as a cause candidate. (Step A
2). Next, in step A3, it is checked whether or not it is possible to identify the cause of the abnormality using the plant state information for all of the extracted cause candidates, and if possible, measures that can be considered are extracted as countermeasure candidates. To do. And
In step A4, an appropriate message is selected and output in consideration of the plant status with respect to all the extracted candidate measures.

[0004]

In the above-mentioned conventional plant operation support device, the response delay of the plant to the operation of the operator is not taken into consideration when the corresponding operation is presented, and therefore, there are the following problems.

(1) Even if an operator operates an instruction in accordance with an instruction from the driving support device when an abnormality occurs, the operation cannot be immediately restored to a normal state because the operation has a delay in response to the plant.
Since the driving support device presents the corresponding operation until it returns to the normal state, there is a possibility that the operator's operation becomes excessive.

(2) In an extreme case, there is no operating cost of the operation end instructed by the driving support device, and therefore the driving support device may search for an alternative and present it to the operator. May be even more excessive.

[0007] As a result, it takes a lot of time to converge the abnormal state, or in the worst case, the plant may be stopped. The present invention has been made in view of the above circumstances, and it is possible to reduce the possibility that the operator's operation becomes excessive, it takes a lot of time to converge the abnormal state, or the possibility of a plant stop is ensured. It is an object of the present invention to provide a plant operation support device that can be reduced to a minimum.

[0008]

A plant operation support apparatus according to the present invention comprises a first memory for storing knowledge on a cause of plant abnormality, and a second memory for storing knowledge on an operation for plant abnormality. A plant abnormality is detected based on the output device that outputs the plant abnormality cause information and the operation guide for the plant abnormality, and the process amount of the plant and the knowledge stored in the first memory and the second memory, and the abnormality is detected. Is identified, the operation guide for the abnormality is determined, the operation of the plant operator is detected, and the output of the operation guide at the output device is suppressed for a desired time.

[0009]

[Operation] Process amount of the plant to be supported, such as temperature,
The pressure, the open / closed state of the valve, the start / stop state of the pump, and the like are measured, and the process measurement signal is input to the processing device. When the process amount of the plant is input, the processing device first
Detection of abnormalities, identification of causes, determination of countermeasures, detection of operator's operation, and presentation of countermeasures by using the knowledge about the cause of abnormality stored in the second memory and the knowledge of countermeasures stored in the second memory To suppress. In this case, the processing device detects the operation of the plant operator, and by executing the process of suppressing the output of the operation guide in the output device for a desired time, the delay in the response of the plant to the operation of the operator is considered, and the guide Is suppressed, the possibility that the operator's operation becomes excessive is reliably reduced.

[0010]

An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing the configuration of a plant operation support device 10 according to an embodiment of the present invention. In the figure, reference numeral 1 is a processing device, and a first memory 2 and a second memory 3 are connected to the processing device 1. The first memory 2 stores knowledge regarding the cause of abnormality of the plant 11, and the second memory 3 stores knowledge regarding the handling operation when a plant abnormality occurs. Details of the knowledge stored in the first memory 2 and the second memory 3 will be described later. A plant 11 is connected to the processing device 1 via a communication input device 4. The communication input device 4 converts the process amount of the plant 11 into a signal that can be easily processed and inputs the signal into the processing device 1. Further, the processing device 1 includes an output device 5
Is connected. The processing device 1 has a function of referring to the knowledge stored in the first memory 2 and the second memory 3 to detect an abnormality in the plant 11, identifying the cause of the abnormality, and determining a countermeasure. The cause of the abnormality and the corresponding operation guide are output to the output device 5.

The following contents are described in the first memory 2 for each cause of abnormality. (A) Abnormality cause name The name uniquely assigned to the cause of each abnormality. (B) Trigger A condition for extracting each cause of abnormality as a candidate for the cause of abnormality. (C) Demonstration conditions Conditions for identifying each cause of abnormality as the cause of the abnormality. (D) Countermeasure name of a countermeasure candidate when the cause of the abnormality occurs. (E) Guide Contents of guidance output when a certain cause of abnormality occurs.

FIG. 4 shows a description format example of the abnormality cause knowledge stored in the first memory 2, and FIG. 5 shows a description example thereof.
In the figure, a plurality of symbols followed by "+" means that a plurality of items can be described. In the following, according to the general terminology of knowledge engineering, the entire description of FIG. 4 will be referred to as a frame, particularly in this case an anomaly cause frame.

In the example of description in FIG. 5, (1) "defective feed water flow rate control system" is taken out as an abnormal cause by (2) "drum water level caution alarm", and (3) "drum water level control deviation is large". And, "Large flow of water supply" and "Small output of water flow controller"
If it is not, or if it is not "small feed water flow" and "large feed water flow controller output", it is identified as an abnormal cause, and (4) "drum water level high countermeasures" and "drum water level low countermeasures" are taken out as countermeasure candidates. (5) It indicates that the message "Water supply flow control system is defective" is output.

Further, the second memory 3 stores the following knowledge regarding the handling operation at the time of abnormality. (a) Countermeasure name The name uniquely assigned to each countermeasure.

(B) Content When each countermeasure is selected as a candidate, a corresponding operation guide that is output, a method of detecting that the corresponding operation is performed, and a period from when the corresponding operation is performed until the influence on the plant disappears. Describe time as a selection condition. The selection condition is a condition for selecting an appropriate correspondence when the correspondence operation differs depending on the plant state, and the operation allowance of the operation end or the like is used as a judgment material.

FIG. 6 shows a description format example of the countermeasure knowledge stored in the second memory 3, and FIG. 7 shows a description example thereof. In the figure, a plurality of symbols followed by "+" means that a plurality of items can be described. In the following, the entire description of FIG. 6 is referred to as a countermeasure frame in accordance with general terms of knowledge engineering.

In the description example of FIG. 7, (1) "Countermeasures for low drum water level" is described, and (2) "If there is a charge for opening the drum water level control valve", "Open the drum water level control valve manually." If the drum water level rising speed is less than α and the drum water level rising speed is negative, the output of the guide is suppressed during the time calculated by "plant output" and "feed water pressure", and otherwise If it is not "Drum water level control valve opening operation allowance", "Please stop GT after contacting middle supply" is output and "10 minutes" after "GT stop operation start" Output is suppressed. It is shown that.

Next, the operation of the above embodiment will be described. The communication input device 4 receives the temperature, pressure,
Electrical (analog and digital) process measurement signals such as valve open / close status and pump start / stop status, and alarm signals
Is input to the processing device 1, converted into a signal that is easily processed by the processing device 1, and transmitted to the processing device 1.

The processing device 1 uses the signal received from the communication input device 4 and the knowledge of the cause of abnormality stored in the first memory 2 and the knowledge of countermeasures stored in the second memory 3, Detect abnormalities, identify causes, determine countermeasures, detect operator operations, and suppress countermeasure presentation. Specifically, the processing shown in the flowcharts of FIGS. 2 and 3 is executed.

(A) [Acquisition of data] The processing device 1 acquires the data sent from the communication input device 4 (step S1), and a memory (not shown) in the device so that it can be used in the subsequent processes. Remember.

(B) [Abnormality Detection] It is sequentially checked whether or not all the abnormal cause frames are in the plant state described in the trigger condition, that is, whether or not an abnormality has occurred (step S).
2). If an abnormality has occurred, the frame causing the abnormality is extracted and placed in the diagnostic queue without duplication (step S
3). If no abnormality has occurred, the process returns to step S1.

(C) Identification of Cause of Abnormality The verification conditions are successively evaluated for the failure cause frames corresponding to all the names of the failure causes in the diagnostic queue (step S4), and the verification conditions are satisfied. For example, while sending the guide corresponding to the cause of the abnormality to the output device 5,
The corresponding measure name is extracted and put in the measure queue without duplication (steps S5 and S6). If the proof conditions are not met,
The abnormal cause frame is deleted from the diagnostic queue (step S7).

(D) [Determination of Corresponding Operation] With respect to all countermeasure names in the countermeasure queue, it is sequentially checked whether or not the countermeasure name is in the output suppression queue. The selection conditions are sequentially evaluated for the corresponding countermeasure frames (step S8), the operation guide for the first established selection condition is transmitted to the output device 5 (step S9), and the selection conditions established as the countermeasure name are selected. Number (in the order of description, consider as 1, 2, 3, ...)
Sets of groups in the operation monitoring queue without duplication (step S1)
0). If the selection condition is not satisfied, steps S9 and S
The process proceeds to the monitoring process of the next operation without performing the process of 10.

(E) [Operation monitoring] For all pairs of countermeasure names and selection condition numbers in the operation monitoring queue, the suppression corresponding to the selection condition number in the corresponding countermeasure frame is sequentially performed. The condition is evaluated (step S11), and if the suppression condition is satisfied, the measure name, the selection condition number, and the time of the internal timer of the apparatus at this time are paired and put in the output suppression queue without duplication. The name / number pair is deleted from the operation monitoring queue (step S1).
2). If the suppression condition is not satisfied, the process directly proceeds to the next operation guide suppression process.

(F) [Suppression of operation guide] For all pairs of countermeasure names, selection condition numbers, and times in the output suppression queue, the selection condition numbers in the corresponding countermeasure frame are sequentially added. Find the corresponding suppression time,
It is checked whether or not this suppression time has elapsed from the time written in the data set (step S13). If the suppression time has elapsed, this set is deleted from the output suppression queue (step S14). After the processing of step S14 is completed, or when the suppression time has not elapsed, the process returns to step S1 to fetch the next data.

As described above, in the second memory 3, the knowledge for detecting the operation of the plant operator with respect to the abnormality of the plant 11 and the operation until the operation has no influence on the plant. By storing the time information, when presenting the corresponding operation to the operator, the response delay of the plant to the operation of the operator is taken into consideration and the presentation of the guide is suppressed, so the operation of the operator may be excessive. Is reliably reduced.

[0027]

As described above in detail, according to the present invention, the delay in the response of the plant to the operation of the operator is taken into consideration when the corresponding operation is presented, and the presentation of the guide is suppressed. It is possible to reliably reduce the possibility that As a result, it is possible to reduce the possibility that it takes a lot of time to converge the abnormal state or the plant is stopped.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a plant operation support device according to an embodiment of the present invention.

FIG. 2 is a flowchart showing a processing operation of the embodiment.

FIG. 3 is a flowchart showing a processing operation of the embodiment.

FIG. 4 is a diagram showing an example of a description format of abnormality cause knowledge in the same embodiment.

FIG. 5 is a diagram showing a description example of abnormality cause knowledge in the embodiment.

FIG. 6 is a diagram showing a description format example of countermeasure knowledge in the embodiment.

FIG. 7 is a diagram showing a description example of countermeasure knowledge in the embodiment.

FIG. 8 is a flowchart showing a processing operation of a conventional plant operation support device.

[Explanation of symbols]

 1 Processing Device 2 1st Memory 3 2nd Memory 4 Communication Input Device 5 Output Device 10 Plant Operation Support Device 11 Plant

─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. ⁶ Identification code Internal reference number FI technical display location G05B 9/02 G05B 9/02 L

Claims (2)

[Claims] 1. A first memory for storing knowledge about an abnormality cause of a plant, a second memory for storing knowledge about an operation for an abnormality of the plant, an abnormality cause information of the plant and an operation guide for the abnormality of the plant. Based on the output device and the process amount of the plant and the knowledge stored in the first memory and the second memory, the abnormality of the plant is detected, the cause of the abnormality is identified, and the operation guide for the abnormality is determined. A plant operation support device comprising: a processing device that detects an operation of a plant operator and suppresses an output of an operation guide in an output device for a desired time. 2. The knowledge stored in the second memory is knowledge for detecting that a plant operator has performed an operation for a plant abnormality, and until the operation has no influence on the plant. The plant operation support device according to claim 1, which has time information of.