JP2008140110A - Process analysis support apparatus, and process analysis support method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a process analysis support apparatus and a process analysis support method capable of effectively supporting process analysis by providing proper information. <P>SOLUTION: A history storing means 31 stores a history of process data. A display means 21 displays the history of the process data stored in the history storing means 31. The display means 21 displays the process data of an item associated with an event by an associating means 22 by graphic along with a time axis when generation of an event is detected by an event detecting means 23. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a process analysis support apparatus and a process analysis support method that support process analysis by displaying a history of stored process data.

  In order to operate the plant safely, it is very important to detect abnormalities at an early stage and respond to them. For this reason, it is an important task for plant operators to quickly and accurately respond to abnormalities in processes and equipment.

When a process abnormality occurs, the operator works according to the following flow.
(1) The alarm detection worker receives an alarm notification from the plant control system or the safety instrumentation system via the plant monitoring terminal.
(2) Alarm interpretation The operator interprets the contents of the generated process alarm and specifies the alarm generation source process data.
(3) The information collection operator manually calls the trend of the alarm generation source process data from the plant monitoring terminal, and confirms the process data before and after the occurrence of the alarm. Further, the operator derives process data (related process data) related to the alarm generation source process data based on his / her process knowledge.
(4) The information analysis operator identifies process data (alarm cause process data) that initially showed a different behavior from the alarm generation source process data and related process data. Next, the operator manually searches the operation history to check whether an operation that may cause a change in the alarm cause process data has been performed. As a result, it is possible to know whether or not an abnormality has occurred due to an erroneous operation by the operator. Further, the operator manually calls the historical data of the alarm cause process data, and compares the deviation and moving average of a specific period. In this way, it is determined whether or not there is a sudden failure of the device or a failure due to aging. In addition, the operator will also consider whether software malfunctions.
(5) Coping If the operator's erroneous operation is the cause of the abnormality, the operator performs an operation to return the process data to normal. In addition, if the cause is a sudden failure of the device or a failure due to aging, the failed device is repaired. Perform other necessary work.
(6) If the process data related to the implementation of the recurrence prevention measure is not registered in the historical data, the data is newly registered in the historical data. Also, an abnormality detection logic is created to prevent an abnormal event from occurring. Furthermore, the abnormality detection logic is verified.

JP 2006-58983 A

Among the operations described above when a process abnormality occurs, there are the following problems that cause a burden on the operator's work, particularly when performing information collection and information analysis.
(1) In the process of collecting information, the operator must identify the alarm cause process data based on his / her own experience in an imminent situation.
(2) In the process of information analysis, the operator must manually search the operation history and historical data of the alarm cause process data to find the trace that caused the abnormality. In addition, we must consider ourselves based on the raw data and identify the cause.

  At present, the computer only stores information as a database, and the operator manually processes and analyzes the necessary information in an easy-to-see form, and the computer cannot actively support it. Therefore, it is desired to develop a process analysis support apparatus that supports recovery of an abnormal process state using a computer and presents information that allows a plant operator to perform a quick and accurate operation.

  An object of the present invention is to provide a process analysis support apparatus and a process analysis support method that can effectively support process analysis by presenting appropriate information.

The process analysis support apparatus according to the present invention includes a history storage unit that stores a history of process data, and a display unit that displays the history of the process data stored in the history storage unit. Association means for associating an item with an item, and event detection means for detecting the occurrence of the event, and the display means, when the event detection means detects the occurrence of the event, the association means The process data of the item associated with the event is displayed by a graphic along a time axis.
According to this process analysis support device, the process data of the item associated with the event is displayed by the graphic along the time axis, so the process data of the item necessary for the analysis of the event can be referred to and the process analysis can be easily performed. It can be performed.

The process analysis support apparatus according to the present invention includes a history storage unit that stores a history of process data, and a display unit that displays the history of the process data stored in the history storage unit. The display means displays the process data of the same item with respect to a plurality of objects by a graphic along the time axis on the same screen.
According to this process analysis support apparatus, the process data of the same item is displayed for each of the plurality of objects by a graphic along the time axis on the same screen, so that comparison between objects can be visually made easy. Process analysis can be performed.

  The display means may move the graphic display position in the time axis direction for each object according to a predetermined operation.

A process analysis support apparatus according to the present invention includes a history storage unit that stores a history of process data, and a display unit that displays a history of the process data stored in the history storage unit. The display unit displays the process data of the plurality of items associated with each other by a graphic along a time axis. .
According to this process analysis support device, the process data of a plurality of items associated with each other is displayed by a graphic along the time axis, so that the process data of the plurality of items necessary for the analysis can be simultaneously confirmed, and the process can be easily performed. Analysis can be performed.

The process analysis support apparatus of the present invention is a process analysis support apparatus comprising: history storage means for storing a history of process data; and display means for displaying the process data stored in the history storage means. Is characterized in that a transition of digital data as the process data having a plurality of values is displayed by a band-like graphic along the time axis.
According to this process analysis support device, the transition of digital data as multi-valued process data is displayed as a band-shaped graphic along the time axis, so that the transition of digital data can be visually confirmed and process analysis is easy. It can be performed.

The process analysis support method according to the present invention includes a step of storing a history of process data, and a step of displaying the history of the process data stored by the step of storing the history. A step of associating an item and a step of detecting the occurrence of the event, wherein in the step of displaying, when the occurrence of the event is detected by the detecting step, the step of associating corresponds to the event The process data of the attached item is displayed by a graphic along a time axis.
According to this process analysis support method, the process data of the item associated with the event is displayed by the graphic along the time axis, so the process data of the item necessary for event analysis can be referred to, and the process analysis is easy It can be performed.

The process analysis support method of the present invention is a process analysis support method comprising the steps of storing a history of process data and displaying a history of the process data stored in the history storage means. Then, with respect to a plurality of objects, the process data of the same item is displayed by a graphic along the time axis on the same screen.
According to this process analysis support method, the process data of the same item for a plurality of objects is displayed on the same screen by a graphic along the time axis, so that comparison between objects can be visually made easy. Process analysis can be performed.

The process analysis support method of the present invention is a process analysis support method comprising: a step of storing a history of process data; and a step of displaying the history of the process data stored by the step of storing the history. A step of associating items with each other, wherein in the displaying step, the process data of the plurality of items associated with each other in the associating step is displayed by a graphic along a time axis.
According to this process analysis support method, the process data of a plurality of items associated with each other is displayed in a graphic along the time axis, so that the process data of the plurality of items necessary for the analysis can be confirmed at the same time, and the process Analysis can be performed.

The process analysis support method of the present invention is a process analysis support method comprising: a step of storing a history of process data; and a step of displaying the process data stored by the step of storing the history. Then, the transition of the digital data as the process data having a plurality of values is displayed by a band-like graphic along the time axis.
According to this process analysis support method, the transition of digital data as multi-valued process data is displayed as a band-shaped graphic along the time axis, so that the transition of digital data can be visually confirmed and process analysis is easy. It can be performed.

  According to the process analysis support apparatus of the present invention, since the process data of the item associated with the event is displayed by the graphic along the time axis, the process data of the item necessary for the analysis of the event can be referred to easily. Process analysis can be performed.

  According to the process analysis support device of the present invention, the process data of the same item for a plurality of objects is displayed by a graphic along the time axis on the same screen, so that comparison between objects can be made visually. Process analysis can be easily performed.

  According to the process analysis support device of the present invention, since the process data of a plurality of items associated with each other is displayed by a graphic along the time axis, the process data of the plurality of items necessary for the analysis can be confirmed simultaneously and easily. Process analysis can be performed.

  According to the process analysis support device of the present invention, since the transition of digital data as process data having multiple values is displayed by a band-like graphic along the time axis, the transition of digital data can be visually confirmed and easily Process analysis can be performed.

  According to the process analysis support method of the present invention, since the process data of the item associated with the event is displayed by the graphic along the time axis, the process data of the item necessary for analyzing the event can be referred to easily. Process analysis can be performed.

  According to the process analysis support method of the present invention, the process data of the same item for a plurality of objects is displayed by a graphic along the time axis on the same screen, so that comparison between objects can be made visually. Process analysis can be easily performed.

  According to the process analysis support method of the present invention, since the process data of a plurality of items associated with each other is displayed by a graphic along the time axis, the process data of the plurality of items necessary for the analysis can be confirmed simultaneously and easily. Process analysis can be performed.

  According to the process analysis support method of the present invention, since the transition of digital data as multi-value process data is displayed by a band-like graphic along the time axis, the transition of digital data can be visually confirmed and easily Process analysis can be performed.

  Hereinafter, an embodiment of a process analysis support apparatus according to the present invention will be described with reference to FIGS.

  FIG. 1 is a block diagram showing a configuration of a field control system provided with a process analysis support apparatus of this embodiment.

  As shown in FIG. 1, the field control system is for monitoring and operating field controllers 1, 1,... Distributed in a plant and field device groups via the field controllers 1, 1,. And a data storage unit 3 that collects and accumulates process data such as process values output from the field devices and operation values given to the field devices. The field controllers 1, 1,..., The plant monitoring terminal 2 and the data storage unit 3 are connected to each other by a communication line 4.

  The data storage unit 3 includes a history storage unit 31 that sequentially collects process data and stores it as history data. Further, the plant monitoring terminal 2 includes a display unit 21 that displays a history of process data stored in the history storage unit 31, an association unit 22 that associates an event with an item, and an event detection that detects the occurrence of an event. And means 23.

  FIG. 2 is a diagram illustrating a data configuration of the trouble unit and the analyzer object stored in the plant monitoring terminal 2. The trouble unit and the analyzer object function as an event detection unit 23 and an association unit 22, respectively.

  As shown in FIG. 2, trouble definition information 42 is stored in the trouble unit 41. The trouble definition information 42 defines collection trigger conditions, collection targets, collection cycles, collection periods, and the like. The collection trigger condition defines an event that triggers collection of trouble information (process data), and is a condition for determining whether or not a trouble (event) has occurred. The collection target specifies trouble information (process data) to be collected. The collection cycle defines the collection cycle of trouble information (process data). The collection period defines the period of trouble information (process data) to be collected. Note that the collection period is normally set to a period including before and after the occurrence of the trouble (event) so as to be useful for trouble (event) analysis.

  In the trouble unit 41, trouble information (process data) is stored in units of trouble objects 43. The trouble information (process data) is a set of snapshot data 44 collected from various data sources in accordance with the trouble definition information. When the collection trigger condition is satisfied, a trouble object 43 storing trouble information is newly generated.

  The analyzer object 45 stores holding information indicating the analysis operation at the time of occurrence of a trouble (event) and the display content by the display means 21 for each type of trouble (event). The retention information includes the comparison source object, the comparison target object, the item sequence order that defines the order of items to be displayed, and the effective collection data period that defines the collection period of the process data to be displayed. . Each analyzer object 45 is associated with each trouble defined by the trouble unit 41.

  Next, the operation of the process analysis support apparatus of this embodiment will be described.

  When a trouble occurs during plant operation, the collection trigger condition of the trouble definition information 42 is satisfied. The plant monitoring terminal 2 acquires necessary process data from the history storage unit 31 according to the trouble object 43 and the analyzer object 45. This process data is given to the display means 21, and the display means 21 displays a predetermined screen.

  FIG. 3 is a diagram showing a screen displayed on the monitor of the plant monitoring terminal 2 by the display means 21. As shown in FIG. 3, an analyzer view 5, a trouble browser 6, a profile view 7, and a correlation diagram 8 are displayed on the screen.

  FIG. 4 is a diagram showing the analyzer view 5. The analyzer view 5 displays a trend graph of data related to the trouble to be analyzed. The analyzer view 5 is used as a main screen when analyzing a trouble.

  The analyzer view 5 shows process data arranged in the vertical direction for each item such as a tag and an alarm, and a time axis is provided in the horizontal direction. At the left end, an item column 58 indicating each item is displayed. The items in the item column 58 are defined based on the item sequence order of the analyzer object 45. In the example of FIG. 4, tags 58A, tags 58B, tags 58C, tags 58D, tags 58E, tags 58F, system alarms 58G, and the like are defined by the item sequence as items related to the trouble.

  Since the item sequence order can be freely set by the user's operation, the displayed items and their order can be flexibly set and changed according to the plant situation.

  Moreover, the addition of an item can be executed during analysis while referring to the screen displayed on the monitor of the plant monitoring terminal 2 (on-demand tag addition function). The addition of the item is reflected in the analyzer object 45.

  In the example of FIG. 4, for each item, the process data of the process (object) that is currently in progress and the process data of the past process (object) are displayed in a graphic manner so as to overlap each other. Data selected as process data of a process (object) that is currently in progress is specified as a comparison source of the analyzer object 45. The data selected as the process data of the past process (object) is specified as a comparison target of the analyzer object 45.

  For example, for one tag 58A, a trend graph 51b of process data for a process that is currently in progress and a trend graph 51a of past process data for the same process are displayed in an overlapping manner. The process currently in progress corresponds to the comparison source, and the past process data corresponds to the comparison target.

  In addition, for the tag 58B, a trend graph 52b of the process data for the process currently in progress and a trend graph 52a of the past process data for the same process are displayed so as to overlap each other. The past process corresponds to the comparison target, and the past process corresponds to the comparison target.

  Similarly, for the tag 58C, a trend graph 53b indicating a process that is currently in progress and a trend graph 53a indicating a past process, and for the tag 58D, a trend graph 54b that indicates a process that is currently in progress and a past process trend graph. 54a are displayed so as to overlap each other. The process currently in progress corresponds to the comparison source, and the past process corresponds to the comparison target.

  The trend graph is a graphic display in which points indicating the numerical values of history data (process data) are connected by a straight line, and displays a change state of an analog value.

  The tag 58E is a process value that takes binary digital data indicating selection of manual operation / automatic operation. The transition of the value for the process that is currently in progress is represented as a character string band graph 55b. The transition of values is represented by a graphic as a character string band graph 55a. The process currently in progress corresponds to the comparison source, and the past process corresponds to the comparison target.

  FIG. 5A is a diagram illustrating a display example of a character string band graph. The character string band graph visually displays character string data. In the example of the character string band graph 55 in FIG. 5A, the manual operation period is represented by a band displaying the character string “MAN”. The period of automatic operation is represented by a line. In addition, as shown in FIG. 5A, the event occurrence time can be displayed on the upper side of the belt. The character string band graph is used to express a status display in a block mode, a period until an alarm occurs, and a return period.

  Next, a tag 58F shown in FIG. 4 is a process value that takes binary digital data, similar to the tag 58E, and the transition of the value for the process currently in progress is represented as a digital band graph 56b. The transition of values is represented by a graphic as a digital band graph 56a. The process currently in progress corresponds to the comparison source, and the past process corresponds to the comparison target.

  FIG. 5B is a diagram showing a display example of a digital band graph. The digital band graph visually displays the value of digital data (0/1). In the example of the digital band graph 56 in FIG. 5B, the period during which a predetermined event is established is displayed as a band. The period of failure is indicated by a line. The character string band graph is used to represent the on period of the switch, the duration of “valve open”, and the like.

  The system alarm 58G shown in FIG. 4 is process data indicating the state of the system alarm, and indicates the system alarm occurrence time by plotting a marker. The display 57b plots the system alarm generation time for the process currently in progress, and the display 57a displays the system alarm generation time for the past process. The process currently in progress corresponds to the comparison source, and the past process corresponds to the comparison target.

  FIG. 5C shows an example of the plot display, and the plot position of the marker M on the display 57 represents a predetermined event occurrence time. Such a plot display is used to display an event history such as an alarm history / operation history.

  When a specific event history is designated in the event history list display, the data (event occurrence) is highlighted as shown by a mark M1 in FIG.

  Next, in the analyzer view 5, time filtering according to the situation is possible.

  FIG. 6 is a diagram illustrating temporal filtering. As shown in FIG. 6A, when a specific time zone 47 is designated by a predetermined operation and filtering is executed, the display of the time zone 47 is erased as shown in FIG. The display before and after the band 47 is switched to a continuous display. By such filtering, for example, when it is desired to analyze the influence of manual operation, disturbances other than the factor of interest can be excluded from the display by deleting the display of the automatic operation time zone.

  In the analyzer view 5, the display position can be moved in the time axis direction for each object.

  FIG. 7 is a diagram illustrating an example of moving the display position. FIG. 7A shows a display state before movement. From this state, by clicking on the area of any object, the object can be selected as a movement target. For example, in the example of FIG. 7B, the lower object is selected from the two objects displayed one above the other. After that, by dragging the area with the mouse and moving it in the direction of the arrow 47, the display of the objects in the lower row can be moved simultaneously in the same direction by the same distance for all items.

  FIG. 7C shows a display state after movement. In this way, by moving the display position for each object, the time axis of the part to be compared can be easily adjusted. This enables efficient process analysis.

  FIG. 8A shows the trouble browser 6A (FIG. 3). As shown in FIG. 8, the trouble browser 6 displays the trouble unit 41 and the trouble object 43 (FIG. 2) as a hierarchical structure. As shown in FIG. 8B, detailed information 6B of each object can be displayed.

  FIG. 9 is a diagram showing the profile view 7 (FIG. 3). The profile view 7 displays the statistical calculation result for the process data of the object. The calculation range can be set using a line 71 (FIG. 4) on the analyzer view 5. When the calculation button 72 (FIG. 9) is operated after setting the calculation range, the statistical calculation result is displayed in the profile view 7. As shown in FIG. 7, the calculation values include a maximum value, a minimum value, an average value, regression, and the like, and the calculation results are also displayed graphically in the analyzer view 5.

  FIG. 10 is a diagram illustrating a graphic display example of the calculation result. In this example, a marker 75 indicating the maximum value, a marker 76 indicating the minimum value, a straight line 77 indicating the average value, and a straight arrow 78 indicating the regression are displayed over the trend graph 74 of the process value.

  FIG. 11 is a diagram illustrating the correlation diagram 8 (FIG. 3). In the correlation diagram 8, the correlation between the process values for the two types of items is indicated by a straight line (slope). In the example of FIG. 8, the correlation in the comparison source object and the correlation in the comparison target object are displayed so that both can be compared.

  In the above-described embodiment, the process data of the same item for two objects are displayed in a graphic form, but they may be displayed on the same coordinate as shown in FIG. In this example, a trend graph 91 and a trend graph 92 are superimposed and displayed.

  Moreover, as shown in FIG.12 (b), after offsetting the coordinate of both, you may superimpose and display. In this example, the coordinate axis 91a of the trend graph 91 and the coordinate axis 92a of the trend graph 92 are displayed in a shifted state.

  As described above, according to the process analysis support device of the present invention, the process data of the item associated with the event is displayed by the graphic along the time axis, so the process data of the item necessary for the analysis of the event The process analysis can be easily performed.

  Further, according to the process analysis support apparatus of the present invention, the process data of the same item is displayed for each of the plurality of objects by a graphic along the time axis on the same screen, so that comparison between objects is visually performed. And process analysis can be easily performed.

  In addition, according to the process analysis support apparatus of the present invention, the process data of a plurality of items associated with each other is displayed by a graphic along the time axis, so that the process data of a plurality of items necessary for the analysis can be simultaneously confirmed. Process analysis can be easily performed.

  In addition, according to the process analysis support device of the present invention, since the transition of the digital data as the process data having a plurality of values is displayed by a band-like graphic along the time axis, the transition of the digital data can be visually confirmed, Process analysis can be easily performed.

  The scope of application of the present invention is not limited to the above embodiment. The present invention is widely applied to a process analysis support apparatus and a process analysis support method that include a history storage unit that stores a history of process data and a display unit that displays a history of process data stored in the history storage unit. can do.

1 is a block diagram illustrating a configuration of a field control system provided with a process analysis support apparatus according to an embodiment. FIG. 2 is a diagram showing the data structure of the trouble unit and analyzer object stored in the data storage unit 3. The figure which shows the screen displayed on the monitor of the terminal for plant monitoring. The figure which shows an analyzer view. It is a figure which shows the example of a display of a band graph, (a) is a figure which shows the example of a display of a character string band graph, (b) is a figure which shows the example of a display of a digital band graph. It is a figure which shows temporal filtering, (a) is a figure which shows the display before filtering, (b) is a figure which shows the display after filtering. It is a figure which shows the movement of a display position, (a) is a figure which shows the display state before a movement, (b) is a figure which shows the state which selected the object to move, (c) shows the display state after a movement. Figure. It is a figure which shows the display of a monitor, (a) is a figure which shows a trouble browser, (b) is a figure which shows the example of a display of the detailed information of an object. The figure which shows a profile view. The figure which shows the example of a graphic display of a calculation result. The figure which illustrates a correlation diagram. It is a figure which shows the example of a display of a trend graph, (a) is a figure which shows the example which superimposes and displays two trend graphs, (b) is a figure which shows the example which offset both coordinates.

Explanation of symbols

21 Display means 22 Association means 23 Event detection means 31 History storage means

Claims (9)

History storage means for storing process data history;
Display means for displaying a history of the process data stored in the history storage means;
In a process analysis support device comprising:
An association means for associating an event with an item;
Event detection means for detecting the occurrence of the event;
With
The display means displays the process data of the item associated with the event by the association means by a graphic along a time axis when the occurrence of the event is detected by the event detection means. A process analysis support device characterized by that. History storage means for storing process data history;
Display means for displaying a history of the process data stored in the history storage means;
In a process analysis support device comprising:
The display means displays the process data of the same item with respect to a plurality of objects by a graphic along the time axis on the same screen. The process analysis support apparatus according to claim 2, wherein the display unit moves the display position of the graphic in a time axis direction for each object according to a predetermined operation. History storage means for storing process data history;
Display means for displaying a history of the process data stored in the history storage means;
In a process analysis support device comprising:
An association means for associating a plurality of items with each other,
The process analysis support apparatus, wherein the display unit displays the process data of the plurality of items associated with each other by the association unit using a graphic along a time axis. History storage means for storing process data history;
Display means for displaying the process data stored in the history storage means;
In a process analysis support device comprising:
The process analysis support apparatus, wherein the display means displays a transition of digital data as the process data having a plurality of values by a band-like graphic along a time axis. Storing process data history;
Displaying the history of the process data stored by storing the history;
In a process analysis support method comprising:
Associating an event with an item;
Detecting the occurrence of the event;
With
In the displaying step, when the occurrence of the event is detected in the detecting step, the process data of the item associated with the event in the associating step is displayed by a graphic along a time axis. A process analysis support method characterized by the above. Storing process data history;
Displaying a history of the process data stored in the history storage means;
In a process analysis support method comprising:
In the displaying step, the process data of the same item for a plurality of objects is displayed on the same screen by a graphic along the time axis, respectively. Storing process data history;
Displaying the history of the process data stored by storing the history;
In a process analysis support method comprising:
The step of associating multiple items with each other,
In the displaying step, the process data of the plurality of items associated with each other in the associating step is displayed by a graphic along a time axis. Storing process data history;
Displaying the process data stored by storing the history;
In a process analysis support method comprising:
In the displaying step, a transition of digital data as the process data having a plurality of values is displayed by a band-like graphic along a time axis.