JPH04121622A - Plant operation supporting method and device as well as data display method - Google Patents

Abstract

PURPOSE:To enable safety of a plant to be improved by memorizing monitoring data of each equipment constituting the plant for each setting time and then by judging stop of this related equipment or an entire plant based on history information of the past of the monitoring data when the monitoring data approaches a warning value. CONSTITUTION:Monitoring item parameter data of a main equipment of a plant or an equipment with movable parts is read by a data read-out device 4 and is stored in an analog data storage tape 6 as well as a data temporary storage area data base 1. When monitoring data of the equipment approaches the alarm value, the past history of the monitoring data is examined and stop of this related equipment or that of an entire plant is determined based on the history information. Also, when two types or more monitoring data of equipment reach the alarm value, the monitoring data changes rapidly, the equipment is tripped etc., it is notified to an operator and the trend is displayed.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a method and device for supporting the operation of a plant. The present invention relates to a plant operation support method and device suitable for increasing the safety of plants.

[Prior art] As conventional plant monitoring technology, Japanese Patent Application Laid-open No. 57-709, Japanese Patent Application Publication No. 60-36994, and Japanese Patent Application Laid-Open No. 62-13339
No. 3.

There are Japanese Patent Application Laid-open No. 63-12994, Japanese Patent Application Publication No. 1-127027, etc.

In the conventional technology described in Japanese Patent Application Laid-Open No. 57-709, various abnormalities that occur in a plant are combined with plant operating status, process data, etc., and a plant abnormality-related tree that includes the propagation time of the abnormality is prepared. When an abnormality occurs, the system automatically selects and displays operational guidance such as countermeasures and monitoring to prevent the abnormality from spreading to the abnormality that minimizes the margin time until the same effect is reached. There is.

The conventional technology described in Japanese Patent Application Laid-Open No. 60-36994 monitors information such as whether the main equipment of the plant is activated or not, the line-up status, etc., and when a plant operator attempts to perform a certain operation, that operation is An interlock is installed to prevent the operation from being performed if a mistake is made.

In the prior art described in JP-A-62-133393,
To ensure that the plant operating status is always within a safe range,
Driving guidance is displayed.

In the prior art described in Japanese Patent Application Laid-Open No. 63-12994.

We collect data that shows the operating status of the plant, use this data to comprehensively judge the operating status of the plant, evaluate the internal state of the plant, and take appropriate actions when an unacceptable abnormality occurs. .

In the prior art described in Japanese Unexamined Patent Publication No. 1-127027.

A plurality of process quantities in a plant are monitored, and when the balance between these process quantities is disrupted, it is assumed that some kind of abnormality has occurred.

[Problem to be solved by the invention] The conventional plant monitoring device described above monitors whether the operation of the entire plant is normal or not, and only collects data related to the entire plant. I hadn't. When an anomaly occurs in the data, devices that are presumed to be related to the anomaly are individually inspected. This is because it is physically impossible to individually monitor a huge number of devices, and it is also impossible to increase the number of terminals for inputting the monitoring data into a computer.

However, there is a safety problem if no monitoring data is collected for major equipment that has a significant impact on plant operation. Therefore, in the case of such major equipment, vibration meters and thermometers are installed to collect monitoring data such as vibration frequency, amplitude, and temperature in addition to operating parameters such as rotation speed and discharge pressure of pumps. When the vibration value exceeds a certain set value or the temperature exceeds a certain set value, it is assumed that a failure has occurred in the equipment and the equipment is tripped. In recent years, plants have begun to take safety measures as described above, but once an equipment trip occurs, it takes time to investigate the cause, and in the end, the plant may have to be shut down for a long period of time without knowing the cause. There is a high possibility that such a situation will occur.

An object of the present invention is to provide a plant in which it is easy to investigate the cause of equipment tripping, and also to detect signs of equipment abnormality before such equipment tripping occurs, and to request plant safety measures. An object of the present invention is to provide a driving support method and device, and a method for displaying monitoring data.

[Means for Solving the Problems] The above purpose is to acquire monitoring data for each piece of equipment that makes up the plant at each set time and store it in a storage device, so that the monitoring data for a certain piece of equipment can be used to trigger an alarm. This is achieved by retrieving the past history of the monitoring data from the storage device and examining it when the value approaches the value, and determining whether to stop the equipment or the entire plant based on the past history information6.
The above purpose is also to acquire multiple types of monitoring data for each device that makes up the plant at each set time and store them in a storage device, so that at least two types of monitoring data for a certain device can be used for each alarm. This can also be achieved by determining whether to shut down the equipment or the entire plant when a certain value is reached.

The above purpose is also Monitoring data for each piece of equipment making up the plant is acquired at each set time and stored in a storage device, and in the event of a sudden change in the monitoring data, a decision is made to stop the equipment or the entire plant. But it will be achieved.

[Effect] For example, when a device trips, in the conventional case, it is known that the monitoring data has exceeded the trip value, but since the past trends of the monitoring data are unknown, other analyzes must be performed to investigate the cause. However, in the present invention, the history of past monitoring data is stored in the storage device, so it is possible to investigate the cause of the failure from the past monitoring data. Also.

Since it is not determined whether or not an abnormality has occurred in the equipment based on only one type of monitoring data, but is determined based on at least two types of monitoring data, it is possible to avoid erroneous judgments due to other factors such as earthquakes. Furthermore, by displaying the past history of monitoring data in a graph, it becomes clear at a glance whether the monitoring data is simply changing over time or suddenly changing due to some kind of failure, making it easier to take countermeasures. Become.

[Embodiment] A preferred embodiment of the present invention will be described below with reference to the drawings.

FIG. 1(a) is an overall configuration diagram of a plant operation support device according to an embodiment of the present invention. This plant operation support device includes a data storage database 1 and a data recording/data storage database 1.
It has three databases: a processing database 2 and a knowledge database 3.

Monitoring item parameter data (analog data) of the main equipment of the plant or equipment having moving parts is read by the data reading control device W4, and this analog data is converted into digital data by the A/D converter 5. The analog data is also stored on the archival analog data storage tape 6, and the digital data is stored in the data storage area database 1 by the input device 7.

Equipment information, monitoring item parameter information 8, monitoring item data added and turned information 9, and alarm value information.

The management value information and the operating range information IO are stored in the data recording/processing database 2 by the input device 11.

The driving guidance information, abnormality guidance information 12, and the above-mentioned alarm value information, management value information, and driving range information 10 are also stored in the knowledge database 3 through the input device @13.

Auxiliary storage @15 has three subsystems 16゜17
, 18 are stored. The data storage/compression subsystem 16 includes a data storage program that temporarily stores equipment monitoring item parameter data in the database 1;
A data compression program that performs statistical processing (for example, average value, maximum value, minimum value) on the above data in a certain time unit (for example, about 1 hour) and compresses it, and a data transfer that transfers the compressed data to the data recording/processing database 2. Consists of programs.

The equipment monitoring/diagnosis subsystem 17 calculates and diagnoses in real time whether the compressed data recorded for each of the 11 monitoring parameters has exceeded the operating range or reached the control value or alarm value. It consists of a diagnostic program and a data processing and display program that processes and displays monitoring item parameters along the data processing curve.

The equipment operation guidance subsystem 18 is composed of an operation guidance program that instructs the normal operation of equipment that is normally operating based on monitoring item parameter data, and an abnormality guidance program that instructs the equipment to operate or stop when an abnormality occurs. .

When this driving support system is started, the auxiliary storage device 15
Each subsystem stored in 16゜17, 18
The program that operates the subsystems reads data from the respective databases 1, 2, and 3, processes the data using the control device, main storage device, and arithmetic device in the central processing unit 20, and sets the parameters of each monitoring item in operation. Calculates in real time whether the range has been exceeded or whether the alarm value or control value has been reached, displays the operating status of the equipment on the screen 21, and provides guidance for normal operation of a single equipment or operation in the event of an abnormality. is displayed on the screen and can be directly printed out from the printer 22 if necessary.

FIG. 1(b) shows the overall flow of the system according to this embodiment. This system is achieved by displaying the menu of each of the above subsystems, inputting the specified subsystem, and executing the processing of the specified subsystem.

As shown in FIGS. 2 and 3, after the system of this embodiment is started,
Temporarily stores and compresses device monitoring item parameter data,
We will explain the system processing procedure from monitoring and diagnosing equipment to providing operational guidance.

FIG. 2 is a data storage/compression subsystem processing flow.

First, monitoring item parameter data for monitoring the operating status of equipment is read as analog data by a data reading control device.

This analog data is stored on a storage tape at any time.

Analog data is converted into digital data by an A/D converter.

The data converted into digital data is temporarily stored for each monitored item parameter in the data storage area database of the computer using the input device.

At this time, the data stored in the - hour storage area database is full (about 1 hour is set here).
Each time, it is saved on a digital data storage tape.

The data stored in the temporary storage area database is
Statistical processing is performed every time, and the statistical processing value (a value obtained by statistical processing of the measured value of the monitoring item parameter. For example, the average value, maximum, minimum value, etc. is calculated as the statistical processing value (hereinafter referred to as The statistical processing values) are compressed into a data recording/processing database and stored for each monitoring item parameter.

FIGS. 3(a) and 3(b) are flowcharts of the equipment monitoring subsystem.

The flow of this subsystem is to display the device selection menu screen, select and input the specified device. Next, display a menu of changes, select and input the specified changes.

The statistically processed values for each monitoring item parameter for the designated equipment are recorded, read from the processing database, and the corresponding average is determined as a result of 0 judgment to determine whether the corresponding average, maximum, and minimum values have reached the alarm value or W-logical value. When the value, maximum, and minimum value do not reach the alarm value or control value (YES), the trend of each statistical processing value at the time specified in the specified added ever turn is displayed, and if no guidance instruction is requested, N.

Proceed to , return to the trend display of each statistical processing value at the time specified by the specified added everturn, and repeat the process.

On the other hand, the corresponding average, maximum, and minimum values are the alarm values.

When the control value is reached (No), the trend of each statistical processing value at the time specified by the specified added everturn is displayed, the guidance subsystem executes steps 81 to B3 below, and the guidance registration obtained by this is performed. indicate.

B1: Whether or not the relevant statistical processing value deviates from the operating range.

B2: Processing of the driving support procedure when the monitored parameter data value is within the driving range without deviating from Bl.

B3: Processing of the driving support procedure when the deviation occurs at B and the monitored parameter data value reaches the management value, alarm value, or trip value.

FIGS. 4(a) and 4(b) are flowcharts of the driving guidance subsystem.

The flow of this subsystem is to display the device selection menu screen, select and input the specified device. Next, display a menu of changes, select and input the specified changes.

Record the statistically processed values for each monitoring item barometer for the designated equipment, read them from the processing database, and record the statistically processed values and alarm values for each monitoring item parameter.

Determine the equipment operating status based on the control value, and calculate the equipment operating status -
Display the list 1st If the information for monitoring the monitoring item parameters is input (YES), the trend of each statistical processing value at the time specified by the specified added ever turn will be displayed, and
If monitoring information for monitoring item parameters is not entered (
No), steps 81 to B are performed without displaying the trend of each statistical processing value at the time specified by the specified added everturn.
The guidance obtained by performing the process in step 3 is displayed.

Next, an example of the screen display in the above-mentioned embodiment.

This will be explained with reference to FIGS. 5 to 8.

FIG. 5 is an example of the plant operation support system basic menu screen (equipment monitoring/diagnosis selection).

FIG. 6 is an example of a device monitoring/diagnosis device selection menu screen.

In the plant operation support system, if you select equipment monitoring/diagnosis in the selection menu shown in Figure 5, you will be transferred to the equipment selection menu shown in Figure 6, where you can select the equipment number and equipment name of the equipment installed in each system. Extracts monitoring items for each device.

FIG. 7 is an example of a monitoring item selection menu screen, in which data addition everturns are initially set for each parameter of the monitoring item.

In this figure, there is a window explaining the data-adding ever-turn. The data-adding ever-turn is a method in which the time interval for displaying data trends is changed according to the importance of each parameter. For example, the most important The parameter A of
Data is plotted every hour and displayed as a trend as pattern A.

In addition, the relatively less important parameter D is the pattern D
For example, only the statistically processed values are displayed during the operation cycle since startup after the last periodic inspection.

Of course, here it is also possible to arbitrarily change the initially set machining pattern.

FIGS. 8(a), (b), (c), and (d) are examples of display screens for each monitoring item data processing pattern, and the trend display for each data processing pattern described above will be explained.

FIG. 8(a) is an example of a pattern A display screen for monitoring item parameter A in FIG. With time on the horizontal axis and monitoring item parameter A on the vertical axis, one day's worth of data is plotted hourly and displayed using the least squares method so that the trend of change can be seen.

In addition, the normal operating range, control value, and alarm value of the monitoring items of the device are set and displayed on this display screen.

The data status (device operating status) can be visually checked.

Similarly to (a), FIGS. 8(b), (c), and (d) are examples of screens displayed for each pattern.

FIGS. 9(a) and 9(b) are driving support guidance flows. Guidance for driving operation when the monitoring item parameter is within the operating range and when an abnormality occurs outside the operating range will be explained according to this flow.

1 when each monitored parameter data value is within the operating range
Continue operating the equipment. Additionally, if the operating range is exceeded, monitoring will continue and be strengthened even if the control value has not been reached.

Here, when one parameter among multiple monitoring parameters reaches the control value, it may be due to a malfunction of the instrument itself or a disturbance such as an earthquake, so check the past data before reaching the control value. If the change occurs over time, investigate the cause, and if the cause cannot be identified, shut down the equipment within a certain amount of time.

In addition, if the data clearly shows a sudden change, we will continue to strengthen monitoring again. If the data does not return to the operating range and continues to reach the control value, the cause cannot be identified. , to stop the equipment within a certain amount of time.

On the other hand, if two or more parameters have reached the management value, the cause is immediately investigated, and if the cause cannot be identified, the equipment is stopped within a certain time.

If it is necessary to shut down the reactor after the equipment has been shut down, the reactor shall be shut down manually.

If there is no need to shut down, repair the equipment without shutting down the reactor.

In Figure 9(b), if each monitoring parameter data value has reached the alarm value, monitoring will be strengthened, and if one parameter among the multiple monitoring parameters has reached the alarm value, ( As in a), there may be a malfunction in the instrument itself or disturbances such as earthquakes, so check the past data before the arrival, and if the data changes over time, immediately stop the instrument.

In addition, if the data clearly shows a sudden change, investigate the cause, and if the cause cannot be identified, immediately stop the equipment.

On the other hand, if two or more parameters have reached the alarm value, immediately investigate the cause, and if the cause cannot be identified, immediately stop the equipment.

The subsequent steps are the same as in (a).

Note that when the monitoring item parameter data value reaches the trip value, the device automatically trips and stops as usual.

The subsequent procedure is also similar to (a).

The equipment operation guidance subsystem will be explained using specific display screen examples with FIGS. 1O to 18.

FIG. 1O is an example of a basic menu screen (equipment operation guidance selection) of the plant operation support system.

FIG. 11 is an example of a device operation guidance device selection menu screen.

FIG. 12 and FIG. 14 are examples of device operation status view screens, showing cases where there is no abnormality and when there is an abnormality. FIG. 13 and FIG. 15 are screen examples of the device operation support comprehensive diagnosis results, showing cases where there is no abnormality and when there is an abnormality.

In the plant operation support system, when equipment operation guidance is selected from the selection menu shown in Figure 10 using the selection key, item 11 is displayed.
Move to the device selection menu shown in the figure and select the device number and device name of the device installed in each system.

When a selection is made on the menu shown in FIG. 11, a list of the operating states of the equipment is displayed as shown in FIG. 12, and operation guidance is shown for each monitoring item parameter.

Furthermore, when checking the normal status of each parameter using a trend display, by selecting each parameter using the selection key, a trend display screen as shown in FIG. 8 can be opened.

The screen shown in FIG. 13 displays the results of comprehensively diagnosing the data shown in FIG. 12, and provides comprehensive guidance for driving operations.

FIG. 14 is a display example of the operating status screen similar to that shown in FIG. 12, but when there is an abnormality in the monitoring item parameter of one device.

FIG. 15 displays the results of the comprehensive diagnosis of FIG. 14, and provides comprehensive guidance for driving operations.

FIGS. 16(a), (b), and (c) are examples of display screens when an abnormality occurs in FIG. 8.

The screen settings in this figure are the same as those in FIG.

Figure 17 (a), (b), Figure 18 (a), (b)
The following are examples of compressed data display screens for each monitoring item, and are examples of a temporal change type and a sudden change type, respectively.

If only one parameter has reached the control value or alarm value in the equipment operation support comprehensive diagnosis result shown in Figure 15, there may be a malfunction in the instrument itself or a disturbance such as an earthquake. The display screen for checking the data is shown in Fig. 17 (a) + (b) p Fig. 18 (a),
(b).

Figure 17 (a) + (b) is a time-varying type, with 1 on the horizontal axis.
Time compression Compression time, monitoring items are plotted on the vertical axis, and trends are observed, data trends are automatically displayed on the screen, and changing trends can be judged on the screen.

Figures 18(a) and (b) are similar to Figures 17(a) and (b).
) is an example of a sudden change type display screen.

As described above, the operating status and operation of the equipment are automatically diagnosed and guided in real time.

Conventionally, when monitoring the operation of equipment at a nuclear power plant, there is no problem because the equipment automatically trips when the VI visual item parameter reaches the trip value, but when the alarm value is reached, the operator Because the process of reaching the value could not be diagnosed, accurate driving decisions could not be made.

According to this embodiment, it is possible to automatically diagnose in real time the process until the monitoring item parameter reaches the alarm value and the process until it deviates from the operating range and reaches the control value. The reliability of nuclear power plants can be improved by automatically and instantly determining normal operating operations and operational guidance in the event of an abnormality.

In addition, even if there is no need to stop the equipment due to a parameter change due to a malfunction in the monitoring instrument itself or a disturbance such as an earthquake, up until now, operators have been forced to stop the equipment based on their conservative judgment and take steps to restore it. Sometimes it took several days to several weeks, but once the cause was investigated, in many cases there was no need to stop the equipment. However, according to this embodiment, even in the above-mentioned case, the operator can continue to operate the equipment properly, which has a great effect on improving the operating rate of the nuclear power plant.

[Effects of the Invention] According to the present invention, changes in past data of plant component equipment can be viewed in real time, making equipment diagnosis easier and more reliable, improving plant safety, and improving plant operation. rate will also improve.

[Brief explanation of drawings]

FIG. 1(a) is an overall configuration diagram of a plant operation support device according to an embodiment of the present invention, FIG. 1(b) is a flowchart showing the overall processing procedure, and FIG. 2 is a data storage/compression subsystem. Processing flowchart, Figure 3 (a), (
b) is a flowchart of equipment monitoring/diagnosis subsystem processing, Figures 4(a) and (b) are flowcharts of equipment operation guidance subsystem processing, and Figure 5 is a plant operation support system basic menu screen (equipment monitoring/diagnosis selection). )
Figure 6 is a diagram of the equipment monitoring/diagnosis equipment selection menu screen.
Figure 7 is a screen diagram of the monitoring item selection menu, Figure 8 (a),
(b). (c) and (d) are screen diagrams of the Everturn display screen with data added to each monitoring item, Figures 9 (a) and (b) are flowcharts of operational support guidance in abnormal situations, and Figure 10 is a basic menu of the plant operation support system (equipment operation Guidance selection) figure, Figure 11 is the equipment operation guidance equipment selection menu diagram,
Figure 12 is a diagram of the equipment operating status - view screen (no abnormality),
Figure 3 shows the device operation support comprehensive diagnosis result screen (no abnormalities).
Figure 14 is the equipment operating status - view screen (with abnormalities),
Figure 5 shows the device operation support comprehensive diagnosis result screen (with abnormalities).
Figures 16 (a), (b), and (c) are views of each monitoring item data processing pattern display screen (with abnormalities), and Figures 17 (a) and (b) are views of each monitoring item compressed data display screen (changes over time). Figures 18(a) and 18(b) are views of each monitoring item compressed data display screen (sudden change type). 1.2.3...Database, 4...Data reading control device, 5...A/D converter, 15...Auxiliary storage device, 20...Central processing unit, 21...Display Device. Agent Patent Attorney Tadashi Akimoto Actual Figure (b) Figure 3 (a) Figure 4 (a) Figure (b) Figure Figure 8 (a) (b) Figure ( C) (d) Figure 9 (a) Figure (b) Figure 10 Figure 13 Figure 15 Figure 16 (a) Gorge - Ro

Claims (1)

[Claims] 1. Obtaining monitoring data for each device constituting the plant at each set time and storing it in a storage device,
When the monitoring data of a certain device approaches an alarm value, the past history of the monitoring data is retrieved from the storage device and examined;
A plant operation support method characterized by determining whether to stop the equipment or the entire plant based on past history information. 2. Acquire multiple types of monitoring data for each device that makes up the plant at each set time and store them in a storage device, and at least two types of monitoring data for a certain device reach their respective alarm values. 1. A plant operation support method characterized by determining whether to stop the equipment or the entire plant when the equipment is stopped. 3. Obtain monitoring data for each device that makes up the plant at each set time and store it in a storage device,
A plant operation support method characterized by determining whether to stop the equipment or the entire plant when monitoring data suddenly changes. 4. Obtain monitoring data for each device that makes up the plant at each set time and store it in a storage device,
A plant operation support method characterized in that when a certain piece of equipment trips, past monitoring data of the piece of equipment is retrieved from the storage device and the cause is investigated. 5. Detection means for acquiring monitoring data for each device constituting the plant at each set time, a storage device for storing each acquired monitoring data, and a detection means for detecting when the monitoring data of a certain device approaches an alarm value. The present invention is characterized by comprising means for notifying a plant operator when an alarm value is reached, and means for retrieving the past history of the monitoring data from the storage device and displaying a trend based on an input instruction from the plant operator. Plant operation support equipment. 6. Detection means for acquiring multiple types of monitoring data for each device constituting the plant at each set time, a storage device for storing each acquired monitoring data, and at least two types of monitoring data for a certain device. and means for notifying a plant operator when the respective warning values have been reached. 7. A method of acquiring monitoring data of equipment that constitutes a plant at every required time, storing it in a storage device, and displaying the monitoring data on a display screen when input instructions are received from a plant operator, and past monitoring data A data display method characterized by displaying the data in a graph with time as an axis. 8. The data display method according to claim 7, characterized in that the alarm value is displayed at the same time. 9. A method for diagnosing an abnormality in a plant, characterized in that in addition to diagnosing the abnormality of the entire plant, equipment constituting the plant is individually diagnosed for abnormality. 10. A device for diagnosing abnormalities in a plant, in addition to the device for diagnosing abnormalities in the entire plant, acquires and stores individual monitoring data of the equipment that makes up the plant at each required time, and analyzes the relevant information based on chronological changes in the monitoring data. An abnormality diagnosis device for a plant, comprising a device for diagnosing the presence or absence of an abnormality in equipment. 11. Means for acquiring monitoring data of plant component equipment at each required time, first storage means for storing each acquired data as digital data, and monitoring data stored in the first storage means within a normal operating range. a determination means for determining whether the monitoring data is within the normal operating range, and a message prompting a plant operator to diagnose the equipment corresponding to the monitoring data when the determination means detects that the monitoring data deviates from the normal operating range. and display means for displaying a graphical representation of past monitoring data of the equipment read out from the first storage means in response to the message or an input instruction from a plant operator. Abnormality diagnosis device.