TWI735844B - Abnormality monitoring device and abnormality monitoring method - Google Patents

Abstract

The present invention provides an abnormality monitoring technology capable of easily grasping the correlation between process data and event data. The process data/event data time sequence display unit (70) aligns the time axis to display the time sequence of process values related to the state of the system and the time sequence of events related to the process control of the aforementioned system. The process data/event data time sequence display unit (70) displays the time sequence of the event by displaying a mark indicating the occurrence of the event on the time axis at the time of the event occurrence. The display mode switching unit (80) allows the operator to select whether to display the time series of the event in parallel or overlap the time series of the process value.

Description

Abnormality monitoring device and abnormality monitoring method

This application claims priority based on Japanese Patent Application No. 2018-053118 filed on March 20, 2018. The entire contents of this Japanese application are incorporated in this specification by reference.

The invention relates to an abnormality monitoring device and an abnormality monitoring method.

An abnormality monitoring device is used to analyze/monitor the operating data of process systems such as chemical equipment or power generation equipment to detect abnormalities. The application data is divided into process data and event data. The process data is the measurement value of various sensors of the process system, the target setting value or control compensation value for control, the user's setting value, the index group calculated based on a plurality of measurement values, and other values related to the state of the system. Time series data. The event data is the history of events that occurred in the process system, for example, including alarm history and operator's operation history.

The process data is time series data such as measurement values, so the time is generally taken on the horizontal axis and the change of the process value is displayed in a graph (graph), but the event data is the history of the event, so it is usually in the form of a list together with the timestamp. To display. In this way, the process data and event data adopt their own display formats.

(Prior technical literature) (Patent Document)

Patent Document 1: Japanese Patent Application Publication No. 2017-211839

When an abnormality occurs in the process system, the operator refers to the time of the alarm from the event history list to determine the cause of the abnormality. Therefore, confirm the change of the process value at the time of the alarm in the graph of the process data, and then follow the event history. Check the operation history of the same time period in the history list. In addition, sometimes the operator refers to the time when the process value shows an abnormal change in the graph of the process data, and confirms the operation content or the presence of an alarm in the same time period from the event history list. In this way, when an abnormality occurs, the operator performs tracking operations across the time-series graph of the process data and the history list of the event data. However, due to the different display modes of the process data and the event data, it is difficult to grasp the correlation between the process data and the event data. Also, tracking takes time, and sometimes misses occur.

One of the illustrative purposes of one aspect of the present invention is to provide an abnormality monitoring technology that can easily grasp the correlation between process data and event data.

In order to solve the above-mentioned problems, an abnormality monitoring device of one aspect of the present invention includes a time series display unit that aligns the time axis to display the time series of the process value related to the state of the system and the process of the aforementioned system Control the time sequence of related events.

According to this aspect, the operator can visually grasp the correlation between the process value and the event according to the alignment of the time series of the process value with the time axis of the time series of the event.

Another aspect of the present invention is an abnormality monitoring method. The method includes a time series display step, in which the time axis is aligned to display the time series of process values related to the state of the system and the time series of events related to the process control of the aforementioned system.

In addition, any combination of the above constituent elements or the constituent elements of the present invention, or alternatives expressed in methods, devices, systems, computer programs, data structures, recording media, etc., are also effective as aspects of the present invention.

According to the present invention, it is possible to easily grasp the relevance of process data and event data.

10: Process data acquisition department

20: Candidate display for process data selection

30: Process data selection department

40: Incident Data Acquisition Department

50: Event data selection candidate display part

60: Event Data Selection Department

70: Process data/event data time sequence display

80: Display mode switching part

300: Abnormal monitoring device

Fig. 1 is a configuration diagram of the abnormality monitoring device of this embodiment.

FIG. 2 is a diagram for explaining an example of time series data of a plurality of process values.

Fig. 3(a) is a diagram for explaining an example of an operation history, and Fig. 3(b) is a diagram for explaining an example of an alarm history.

Fig. 4 is a diagram for explaining a screen example of the abnormality monitoring device of Fig. 1.

Figure 5 is used to illustrate that the time series data of multiple events are superimposed and displayed The diagram of the example.

FIG. 6 is a diagram for explaining an example of overlapping display of the time series data of the event and the time series data of the process value.

FIG. 7 is a diagram for explaining an example of overlapping display of time-series data of high-level alarms and process values.

Fig. 8 is a flowchart showing the procedure of abnormality monitoring processing based on the abnormality monitoring device of Fig. 1.

Hereinafter, the present invention will be described based on preferred embodiments and with reference to the drawings. The same or equivalent structural elements, members, and processes shown in the various drawings are denoted by the same symbols, and repeated descriptions are appropriately omitted. In addition, the embodiment does not limit the inventor, but is an example, and all the features or combinations of the features described in the embodiment are not necessarily essential to the invention.

Fig. 1 is a configuration diagram of an abnormality monitoring device 300 of this embodiment. The abnormality monitoring device 300 is used for monitoring abnormalities of the manufacturing process system. The abnormality monitoring device 300 includes a process data acquisition unit 10, a process data selection candidate display unit 20, a process data selection unit 30, an event data acquisition unit 40, an event data selection candidate display unit 50, an event data selection unit 60, and process data/event data. The time series display unit 70 and the display mode switching unit 80.

FIG. 4 is a diagram for explaining a screen example of the abnormality monitoring device 300. Each configuration of the abnormality monitoring device 300 of FIG. 1 will be described with reference to the screen example of FIG. 4.

The process data acquisition part 10 acquires and represents the process system in the form of time-series data Multiple process values of the state of the system.

FIG. 2 is a diagram for explaining an example of time series data of a plurality of process values. Together with the time stamp, time series data such as process value A, process value B, process value C, and process value D are obtained.

The process data selection candidate display unit 20 displays the plurality of process values acquired by the process data acquisition unit 10 as selection candidates in a list format or the like on the screen.

The process data selection window 210 in FIG. 4 is a list of multiple process value candidates displayed by the process data selection candidate display unit 20, and the items in the window can be scrolled up and down to realize the viewing of parts that cannot be completely displayed. In this example, the process values A~F are displayed in the process data selection window 210.

The process data selection unit 30 allows the operator to select one or more process values to be viewed from among a plurality of process value candidates displayed by the process data selection candidate display unit 20 in a list. The operator selects the process value to be viewed in the process data selection window 210 of FIG. 4 with the mouse. In this example, two process values B and D are selected, and the selected process values are highlighted.

The event data acquisition unit 40 acquires the history of events such as operator operations or alarms when controlling the manufacturing process of the manufacturing system.

Fig. 3(a) is a diagram for explaining an example of the operation history. Get the history of the operation category and operation result together with the time stamp. In this example, operation A, operation A, and operation B are executed in the order, and the operation result is S (success), F (failure), S (success), S (success) in order.

Fig. 3(b) is a diagram for explaining an example of the alarm history. With time stamp Obtain the history of alarm types and alarm levels. In this example, alarm events have occurred in the order of alarm P, alarm P, alarm P, and alarm Q, and the alarm levels are L (low), L (low), H (high), and L (low) in order.

The event data selection candidate display unit 50 displays the plurality of event data acquired by the event data acquisition unit 40 as selection candidates in a list format or the like on the screen.

The event data selection window 220 in FIG. 4 is a list of multiple event candidates displayed by the event data selection candidate display unit 50, and the items in the window can be scrolled up and down to allow viewing of parts that cannot be fully displayed. In this example, alarms P, Q, R, operations A, B, and C are displayed in the event data selection window 220.

The event data selection unit 60 allows the operator to select one or more events to be viewed from among a plurality of event candidates listed in the event data selection candidate display unit 50. The operator selects an event to be viewed in the event data selection window 220 of FIG. 4 with a mouse or the like. In this example, two alarms P and Q and one operation B are selected, and the selected events are highlighted.

In addition, if the process value exceeds a predetermined threshold, an alarm is issued or the operator performs an operation, and the result of the alarm output or operation input will affect the specific process value. Therefore, sometimes the process value and the event will be associated with each other. In order to make it easy for the operator to select the process values and events that are related to each other, the event data selection window 220 may highlight the related events in the event data selection window 220 when the operator selects the process value in the process data selection window 210. Conversely, it is also possible for the operator to select an event in the event data selection window 220. In the process data selection window 210, the associated process value is highlighted in the process data selection window 210.

The process data/event data time-series display unit 70 (hereinafter, referred to as the “time-series display unit 70” for simplification) aligns the time axis to display the time-series data of the process values and events selected by the operator.

The process data selection unit 30 notifies the time series display unit 70 of the process value selected by the operator, and the event data selection unit 60 notifies the time series display unit 70 of the event selected by the operator. The time series display unit 70 acquires the time series data of the process value selected by the operator from the process data acquisition unit 10, and acquires the time series data of the event selected by the operator from the event data acquisition unit 40.

As a display aspect of the time-series data of the process value and the time-series data of the event, the time-series display unit 70 aligns the time axis and displays the time-series data of the process value and the time-series data of the event side by side.

The process time series graph 230 of FIG. 4 uses the horizontal axis as the time and displays the time series data of the process values selected by the operator in a line graph. Here, the time series data of the process values of the past six days are displayed. The time series data of the process value B is displayed with a solid line, and the time series data of the process value D is displayed with a dotted line.

The event time series diagrams 240a, 240b, and 240c of FIG. 4 are those showing time series data of events selected by the operator with the horizontal axis as time. It is aligned with the time axis of the process time series graph 230 to display time series data of events in the past six days. The presence or absence of an event is displayed along the time axis by displaying a mark (here, a vertical bar) indicating the occurrence of the event on the time axis at the time when the event occurs. Here, the time series chart 240a of the alarm P, the time series chart 240b of the alarm Q, Time sequence diagram 240c of operation B.

In addition to vertical bars, the marks indicating the occurrence of events can also be dots or triangles. However, in the case of vertical bars, it is easy to grasp the frequency of events on the visual screen based on the density of the marks.

The process time sequence graph 230 of FIG. 4 is aligned with the time axis of the event time sequence diagrams 240a, 240b, 240c, so the operator can view the time change of the process value and the time change of the event at the same time to compare the change of the process value and the frequency of the event. Establish associations to master.

In FIG. 4, the time-series display unit 70 displays the time-series data of a plurality of events in parallel, but it is also possible to superimpose and display the time-series data of a plurality of events.

Fig. 5 is a diagram for explaining an example in which the time-series data of a plurality of events are overlapped and displayed. In this example, the operator selects the alarm R and the operation C as the event data to be viewed. The event time sequence diagram 242 is displayed in alignment with the time axis of the process time sequence graph 230. In the event time series diagram 242, the time series data of the alarm R and the time series data of the operation C are overlapped and displayed, the time series data of the alarm R is represented by a solid line, and the time series data of the operation C is represented by a dotted line. The time series data of the alarm R and the time series data of the operation C can also be displayed separately by the difference of colors. In this way, by superimposing and displaying the time-series data of a plurality of events in a mutually identifiable manner, the operator can easily grasp the correlation between the plurality of events. For example, with this overlapping display, it is possible to confirm the overlap of multiple alarms or the relevance or influence of operations and alarms.

When displaying time series data of more than three events, all The time series data of the events are overlapped, but the operator can also select the events to be overlapped. In this case, the time-series diagrams of the events that are not selected as overlapping objects are displayed side by side with the time-series diagrams of the overlapping events. Thereby, only the events to be viewed in overlap can be checked on one graph by superimposing each other, and other events can be confirmed separately on the graph displayed side by side. If the time series data of more than three events are superimposed on one chart, it is sometimes difficult to distinguish the time series data of different events on the visual screen, but if you can select at least two specific events and superimpose them on one chart In this, the remaining events can be individually confirmed in the graphs displayed side by side, so that the operator can analyze the correlation between at least two specific events in one graph, and also the occurrence of the remaining events. Perform analysis.

As another display aspect of the time-series data of the process value and the time-series data of the event, the time-series display unit 70 aligns the time axis to overlap and display the time-series data of the process value and the time-series data of the event.

FIG. 6 is a diagram for explaining an example in which the time series data of the event and the time series data of the process value are overlapped and displayed. In the process value/event time series graph 250, the time series data of the alarm R and the operation C are overlapped and displayed on the line graph of the time series data of the process value B and the process value D. By overlapping the time-series data of the event with the time-series data of the process value in this way, the operator can associate the change of the process value and the frequency of the event occurrence in a graph for grasping.

When displaying the time-series data of multiple events, the time-series data of all events can be overlapped with the time-series data of the process value, but it can also be operated by The staff chooses the events to be overlapped. In this case, the time-series graphs of the events that are not selected as overlapping objects are displayed side by side with the time-series graphs of the process values. Thereby, the operator can only superimpose the event to be viewed with the time series of the process value and the time series graph of the process value to confirm in one graph, and other events can be confirmed separately in the graph displayed side by side. If the time-series data of multiple events and the time-series data of the process value are overlapped, it is sometimes difficult to visually distinguish the time-series data of different events. The time series data overlaps, and the remaining events can be individually confirmed in the graph displayed side by side with the time series graph relative to the process value, so that the operator can analyze the occurrence of a specific event and the change of the process value in one graph. On the other hand, the occurrence of the remaining events is also analyzed.

The time series display unit 70 can also superimpose and display the high-level alarms and the time series data of the process value. In this way, even if the operator does not select a specific event as the object of overlapping display, the time series data of important events such as high-level alarms and the time series data of process values can be automatically overlapped to grasp the relevance.

FIG. 7 is a diagram for explaining an example in which time series data of high-level alarms and process values are overlapped and displayed. Here, similar to FIG. 4, the process time sequence graph 230 and the event time sequence graphs 240a, 240b, and 240c are displayed side by side with the time axis aligned. At the time of "alarm", as shown by the symbol 244, the mark indicating the occurrence of a serious alarm is displayed superimposed on the process time sequence graph 230. In this way, critical alarms can be easily displayed on the sequence graph 230 during the manufacturing process. Confirmation. Minor alarms can be confirmed separately in the event sequence diagrams 240a, 240b, and 240c. In this way, the critical alarm can be overlapped with the time-series data of the process value so that the operator can quickly grasp the correlation with the change of the process value. In addition, minor alarms may also occur frequently. Therefore, if they overlap with the time series data of the process value, it will become unclear. Therefore, there is no need to overlap it with the time series data of the process value. It is displayed in the event time series chart side by side with the process time series graph for individual confirmation.

The time series display unit 70 can distinguish the difference of the alarm level with different colors to display the time series data of the alarm. For example, by displaying a low-level alarm in yellow and a high-level alarm in red, it is easy to visually confirm the level of the alarm.

The display mode switching unit 80 allows the operator to select the display mode of the time series data of the process values and events, and instructs the time series display unit 70 to switch the display mode. The display mode switching unit 80 allows the operator to select whether to display the time series data of the event and the time series data of the process value side by side or to display the time series data of the event and the time series data of the process value overlappingly. Moreover, when there are a plurality of events, the display mode switching unit 80 allows the operator to select which event's time-series data and the process value's time-series data are to be overlapped. In addition, the display mode switching unit 80 allows the operator to select whether or not to display time series data of a plurality of events superimposed on each other.

As a method for the operator to select the display mode, a graphical user interface (Graphical User Interface) can be used. For example, the operator can drag and drop the time series display of a specific event with a mouse, etc. Graphically select the event to be overlapped with the time series data of the process value. In addition, the operator can drag and drop the time series display of a specific event on the time series display of other events with a mouse or the like to select the events to be displayed overlapping each other.

FIG. 8 is a flowchart showing the steps of the abnormality monitoring process based on the abnormality monitoring device 300.

The operator selects the process value that should be read from the candidates of a plurality of process values (S10). The operator selects an event to be viewed from the candidates of a plurality of events (S12). Here, it is set to select the order of events after selecting the process value, but it is also possible to select the process value after selecting the event. This is because the operator is tracking the time-series data of the process value and the time-series data of the event, so there are situations in which he wants to view the events of the same time period based on the abnormal change in the process value. View the change of the process value in the same time period at the time of the event.

The time series display unit 70 aligns the time axis to display the time series data of the selected process value and the time series data of the selected event (S14). As a display aspect, there are the aspect that aligns with the time axis of the time-series graph of the process value and displays the time-series mark of the event side by side, and the aspect that aligns with the time axis of the time-series graph of the process value and overlaps the time-series mark of the event. Sample. In the state where the time series mark of the event is displayed side by side in the time series graph of the process value, the operator can individually view and monitor the time change of the process value and the occurrence frequency of the event, and the event is displayed in the time series graph of the process value. In the aspect of time series marking, the operator can view and monitor the correlation between the time change of the process value and the occurrence frequency of the event in a graph.

The display mode switching unit 80 allows the operator to select the display mode of the time-series data of the process values and events (S16). When the operator instructs to switch the display mode (Yes in S16), the display mode switching unit 80 causes the time sequence display unit 70 to change the display mode (S18), and returns to step S14. For example, when the operator instructs the side-by-side display mode, the time axis is aligned and the time-series graph of the event and the time-series graph of the process value are displayed side-by-side. When the operator instructs the overlapping display mode, the time axis is aligned and the time series graph of the event and the time series graph of the process value are superimposed and displayed. When the operator does not instruct to switch the display mode (No in S16), step S18 is skipped, and step S14 is returned.

According to the abnormality monitoring device 300 of the present embodiment, by aligning the time axis to display the time series data of the process value and the time series data of the event, the operator can easily associate the change of the process value with the frequency of the occurrence of the event. Therefore, it can support the determination of the cause of the abnormality and the formulation of countermeasures in advance. Since the time series graph of the process value is aligned with the time axis of the time series graph of the event, the operator can easily track the process data and the event data, and can quickly respond when an abnormality occurs.

Above, the present invention has been described based on the embodiments. The present invention is not limited to the above-mentioned embodiments, and those skilled in the art should understand that various design changes and various modifications can be made, and such modifications are also within the scope of the present invention.

10: Process data acquisition department

20: Candidate display for process data selection

30: Process data selection department

40: Incident Data Acquisition Department

50: Event data selection candidate display part

60: Event Data Selection Department

70: Process data/event data time sequence display

80: Display mode switching part

300: Abnormal monitoring device

Claims (9)

An abnormality monitoring device, which is characterized by including: a process data acquisition part, which acquires a plurality of process values representing the state of the system in the form of time series data; an event data acquisition part, which acquires the operation of the operator in the process control of the system The time sequence of events such as alarms or alarms; the time sequence display unit aligns the time axis to display the time sequence of the foregoing process values related to the state of the system and the time sequence of the foregoing events related to the process control of the foregoing system; and a vertical bar To display the mark indicating the occurrence of the event. According to the abnormality monitoring device described in claim 1, wherein the time series display unit displays the time series of the aforementioned events by displaying a mark indicating the occurrence of the event on the time axis at the time of occurrence of the event. For example, the abnormality monitoring device described in item 1 or 2 of the scope of the patent application further includes: a selection unit that allows the operator to select the aforementioned process value or the aforementioned item to be read from among the aforementioned process value candidates or the aforementioned event candidates For events, the time sequence display unit switches to display the process value or the time sequence of the event selected by the operator. Such as the abnormal monitoring device described in item 1 or 2 of the scope of patent application, wherein The aforementioned time series display unit displays the time series of a plurality of aforementioned events in parallel or overlapped. The abnormality monitoring device described in item 1 or 2 of the scope of patent application, wherein the time series display unit displays the time series of the aforementioned events and the time series of the aforementioned process values in parallel. According to the abnormality monitoring device described in item 1 or 2 of the scope of the patent application, the time series display unit displays the time series of the aforementioned events and the time series of the aforementioned process values overlappingly. For example, the abnormality monitoring device described in item 1 or 2 of the scope of patent application further includes: a switching unit that allows the operator to select whether to display the time series of the aforementioned events side by side or overlap the time series of the aforementioned process values. An abnormality monitoring method, which is characterized by including: a process data acquisition step, which is to acquire a plurality of process values representing the state of the system in the form of time series data; an event data acquisition step, which is to acquire the operator's operation in the process control of the system The time sequence of events such as alarms or alarms; the time sequence display step is to align the time axis to display the time sequence of the aforementioned process values related to the state of the system and the time sequence of the aforementioned events related to the process control of the aforementioned system; And a vertical bar is used to display the mark indicating the occurrence of the event. A computer program product, which is characterized by causing a computer to execute: a program storing the abnormality monitoring method as described in claim 8.

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