KR102638003B1 - Monitoring devices, monitoring methods, programs, control devices and plants - Google Patents

Abstract

The process data/event data time series display unit 70 displays a time series of process values related to the state of the system and a time series of events related to process control of the system, aligned on the time axis. The process data/event data time series display unit 70 displays the time series of events by displaying a mark indicating event occurrence at the event occurrence time on the time axis. The display mode switching unit 80 causes the operator to select whether to display the time series of events in a row or overlapping them with respect to the time series of process values.

Description

Monitoring devices, monitoring methods, programs, control devices and plants

The present invention relates to a monitoring device and method.

Anomaly monitoring devices are used to detect abnormalities by analyzing and monitoring operation data of process systems such as chemical plants and power plants. Operational data is divided into process data and event data. Process data is a time series (temporal) of values related to the state of the system, such as measured values of various sensors in the process system, target set values for control, control compensation values, user set values, and a group of indicators calculated based on multiple measured values. It is classified data. Event data is the history of events that occurred in the process system, and includes, for example, the history of alarms and the history of operator operations.

Since process data is time series data such as measured values, it is common to display changes in process values as a graph with time on the horizontal axis. However, since event data is a history of events, it is better to display it in a list format with a timestamp. It's normal. In this way, process data and event data take separate display forms.

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

When an abnormality occurs in the process system, the operator refers to the time when the alarm occurred from the event history list and checks the change in process value at the time of alarm occurrence in the process data graph to determine the cause of the abnormality. In addition, the operation history of the same time period is checked from the event history list. In addition, the operator may refer to the time when the process value showed an abnormal change in the process data graph and check the contents of the operation at the same time and the presence or absence of an alarm from the event history list. In this way, when an abnormality occurs, the operator performs trace work by traversing the time series graph of the process data and the history list of the event data. Since the display formats of the process data and event data are different, the relationship between the process data and event data must be checked. It is difficult to understand, and tracing takes time and may result in omissions.

One of the exemplary purposes of one aspect of the present invention is to provide a monitoring technology that can easily determine the relationship between process data and event data.

In order to solve the above problem, the monitoring device of one aspect of the present invention includes a time series display unit that displays a time series of process values related to the state of the system and a time series of events related to process control of the system by aligning the time axis.

According to this aspect, the operator can visually grasp the relationship between the process value and the event because the time axes of the time series of the process value and the time series of the event are aligned.

Another aspect of the present invention is a monitoring method. This method includes a time series display step for displaying a time series of process values related to the state of the system and a time series of events related to process control of the system by aligning the time axis.

However, any combination of the above components or substitution of the components or expressions of the present invention among 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 determine the relationship between process data and event data.

1 is a configuration diagram of an abnormality monitoring device according to this embodiment.
FIG. 2 is a diagram illustrating an example of time series data of a plurality of process values.
In FIG. 3, (a) is a diagram illustrating an example of an operation history, and (b) of FIG. 3 is a diagram illustrating an example of an alarm history.
FIG. 4 is a diagram illustrating an example screen of the abnormality monitoring device of FIG. 1.
Figure 5 is a diagram illustrating an example in which time series data of a plurality of events are displayed in an overlapping manner.
FIG. 6 is a diagram illustrating an example in which time series data of an event is displayed overlapping time series data of a process value.
Figure 7 is a diagram illustrating an example in which a high-level alarm is displayed overlaid on time series data of process values.
FIG. 8 is a flow chart showing the procedure of abnormality monitoring processing by the abnormality monitoring device of FIG. 1.

Hereinafter, the present invention will be described with reference to the drawings based on preferred embodiments. The same or equivalent components, members, and processes appearing in each drawing are given the same reference numerals, and duplicate descriptions are omitted as appropriate. In addition, the embodiments are illustrative rather than limiting the invention, and all features or combinations thereof described in the embodiments are not necessarily limited to being essential to the invention.

Fig. 1 is a configuration diagram of an abnormality monitoring device 300 according to this embodiment. The abnormality monitoring device 300 is used to monitor abnormalities in the 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, and an event data selection candidate display unit. It includes (50), an event data selection unit (60), a process data/event data time series display unit (70), and a display mode switching unit (80).

FIG. 4 is a diagram illustrating an example screen of the abnormality monitoring device 300. Referring to the screen example in FIG. 4, each configuration of the abnormality monitoring device 300 in FIG. 1 will be described.

The process data acquisition unit 10 acquires a plurality of process values representing the state of the process system from time series data.

FIG. 2 is a diagram illustrating an example of time series data of a plurality of process values. Time series data such as process value A, process value B, process value C, and process value D are acquired along with a timestamp.

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

The process data selection window 210 in FIG. 4 is a list of candidates for a plurality of process values displayed by the process data selection candidate display unit 20, and the items in the window can be scrolled up and down to view parts that are not fully displayed. do. In this example, process values A to F are displayed in the process data selection window 210.

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

The event data acquisition unit 40 acquires the history of events such as operator operations and alarms in process control of a process system.

Figure 3(a) is a diagram illustrating an example of operation history. The operation type and the history of the operation results are obtained along with a timestamp. In this example, operation A, operation A, and operation B are executed in the order, and the operation results are S (success), F (failure), S (success), and S (success) in this order.

Figure 3(b) is a diagram illustrating an example of alarm history. History of alarm type and alarm level is acquired along with timestamp. In this example, alarm events are generated 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 this order. am.

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

The event data selection window 220 in FIG. 4 is a list of candidates for a plurality of events displayed by the event data selection candidate display unit 50, and the items in the window can be scrolled up and down to view parts that cannot be displayed in full. do. 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 causes the operator to select one or more events to be viewed from among the plurality of event candidates listed by the event data selection candidate display unit 50. The operator selects the event to be viewed in the event data selection window 220 of FIG. 4 by clicking on it with a mouse or the like. In this example, two alarms P, Q and one operation B are selected and the selected event of these is highlighted.

However, when an alarm is issued when a process value exceeds a predetermined threshold or an operator's operation is performed and an influence on a specific process value appears as a result of the alarm output or operation input, the process value and the event are related to each other. There is. In order to make it easier for the operator to select process values and events that are related to each other, when the operator selects a process value in the process data selection window 210, the related event is highlighted in the event data selection window 220. do. Conversely, when the operator selects an event in the event data selection window 220, the related process value may be 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 simplicity) displays time series data of process values and events selected by the operator by aligning the time axis.

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 time series data of the process value selected by the operator from the process data acquisition unit 10, and acquires time series data of the event selected by the operator from the event data acquisition unit 40.

As one display mode of time series data of process values and time series data of events, the time series display unit 70 displays the time series data of process values and time series data of events arranged in an aligned time axis.

The process time series graph 230 in FIG. 4 displays time series data of process values selected by the operator as a line graph with time as the horizontal axis. Here, time series data of process values for the past 6 days is displayed. The time series data of process value B is indicated by a solid line, and the time series data of process value D is indicated by a dotted line.

The event time series charts 240a, 240b, and 240c in FIG. 4 display time series data of events selected by the operator with time on the horizontal axis. The time series data of events for the past 6 days is displayed by aligning it with the time axis of the process time series graph 230. By displaying a mark (here, a vertical line) indicating the occurrence of an event on the time at which the event occurred on the time axis, the presence or absence of occurrence of the event is indicated along the time axis. Here, the time series chart 240a of alarm P, the time series chart 240b of alarm Q, and the time series chart 240c of operation B are displayed in parallel along the time axis of the process time series graph 230.

The mark indicating the occurrence of an event may be a dot or triangle other than a vertical line, but in the case of a vertical line, it is easy to visually determine the frequency of event occurrence by the density of the mark.

Since the time axes of the process time series graph 230 and the event time series charts 240a, 240b, and 240c of FIG. 4 are aligned, the operator lists and views the time change of the process value and the time change of event occurrence, and It can be identified by relating fluctuations to the frequency of event occurrence.

In FIG. 4, the time series display unit 70 displays time series data of multiple events in parallel, but it can also display time series data of multiple events in an overlapping manner.

FIG. 5 is a diagram illustrating an example in which time series data of a plurality of events are displayed in an overlapping manner. This example shows a case where the operator selects alarm R and operation C as event data to be viewed. The event time series chart 242 is displayed by aligning it with the time axis of the process time series graph 230. In the event time series chart 242, the time series data of alarm R and the time series data of operation C are displayed overlapping, with the time series data of alarm R shown as a solid line and the time series data of operation C shown as a dotted line. The time series data of alarm R and the time series data of operation C may be displayed separately by color differences. In this way, by displaying the time series data of a plurality of events in an identifiable overlapping manner, the operator can easily determine the relationship between the plurality of events. For example, through this overlapping display, it is possible to check the overlapping status of multiple alarms or the relationship or influence between operations and alarms.

When displaying time series data of three or more events, the time series data of all events may be overlapped, or the operator may select the event to be overlapped. In that case, the time series chart of the event that was not selected as the object of overlap is displayed in parallel with the time series chart of the overlapped event. As a result, only the events you want to view can be checked in one chart by overlapping them, and other events can be checked separately in charts displayed in parallel. When time series data of three or more events are superimposed on one chart, it may become difficult to visually distinguish time series data of different events. However, by selecting at least two specific events and superimposing them on one chart, the remaining events can be superimposed on one chart. If these can be checked individually on charts displayed in parallel, the operator can analyze the relationship between at least two specific events in one chart while simultaneously analyzing the occurrence of the remaining events.

As another display mode of time series data of process values and time series data of events, the time series display unit 70 displays the time series data of process values and time series data of events in an overlapping manner by aligning the time axes.

FIG. 6 is a diagram illustrating an example in which time series data of an event is displayed overlapping time series data of a process value. In the process value/event time series graph 250, a chart showing time series data of alarm R and operation C is displayed overlaid on a line graph showing time series data of process values B and 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 understand the change in the process value and the frequency of event occurrence in one graph.

When displaying time series data of multiple events, the time series data of all events may be superimposed on the time series data of the process value, or the operator may select the event to be superimposed. In that case, the time series chart of the event that was not selected as the object of overlap is displayed in parallel with the time series graph of the process value. As a result, only the events that the operator wants to view by superimposing them on the time series of the process values can be checked in a single graph by overlaying them on the time series graph of the process values, and other events can be checked separately on charts displayed in parallel. If time series data of multiple events are overlaid on time series data of process values, it may become difficult to visually distinguish time series data of different events, but only specific events can be selectively switched and overlaid on time series data of process values. , If the remaining events can be individually checked on a chart displayed in parallel with the time series graph of the process value, the operator can analyze the relationship between the occurrence of a specific event and the change in the process value in a single graph and check the remaining events. The occurrence of events can also be analyzed accordingly.

The time series display unit 70 can also display high-level alarms by superimposing them on time series data of process values. As a result, without the operator having to select a specific event as the object of overlapping display, the time series data of important events such as high-level alarms can be automatically superimposed on the time series data of process values to determine their relationship.

FIG. 7 is a diagram illustrating an example in which a high-level alarm is displayed overlapping time series data of process values. Here, as in FIG. 4, the process time series graph 230 and the event time series charts 240a, 240b, and 240c are displayed with the time axis aligned. However, for example, for alarm Q, the alarm level is higher than a predetermined value. At the timing when a high “heavy alarm” occurs, a mark indicating the occurrence of a heavy alarm, as indicated by symbol 244, is displayed overlaid on the process time series graph 230. Accordingly, major alarms can be easily checked on the process time series graph 230, and light alarms can be checked separately on the event time series charts 240a, 240b, and 240c. As a result, heavy alarms can be superimposed on the time series data of the process value so that the operator can quickly determine the relationship with the change in the process value. In addition, because warning alarms may occur frequently, they become difficult to view if overlaid on the process value time series data, so they are displayed on the event time series chart in parallel with the process time series graph, rather than overlaid on the process value time series data, so that individual You can check it with .

The time series display unit 70 may display time series data of alarms by distinguishing differences in alarm levels with different colors. For example, low-level alarms are displayed in yellow and high-level alarms in red, making it easy to visually check the level of the alarm level.

The display mode switching unit 80 causes the operator to select a display mode for time series data of process values and events and instructs the time series display unit 70 to switch the display mode. The display mode switching unit 80 causes the operator to select whether to display the event time series data aligned with the process value time series data or to display the event time series data overlaid on the process value time series data. Additionally, when there are a plurality of events, the display mode switching unit 80 causes the operator to select which event's time series data will be overlaid with the process value's time series data. Additionally, the display mode switching unit 80 allows the operator to select whether to display time series data of a plurality of events overlapping each other.

As a means for allowing the operator to select a display mode, a graphical user interface can be used. For example, the operator can select the event to be superimposed on the time series data of the process value by dragging and dropping the time series display of a specific event onto the process time series graph using a mouse or the like. Additionally, the operator can select events to be displayed by overlapping them by dragging and dropping the time series display of a specific event onto the time series display of other events using a mouse or the like.

FIG. 8 is a flowchart showing the procedure of abnormality monitoring processing by the abnormality monitoring device 300.

The operator selects a process value to be viewed from among a plurality of process value candidates (S10). The operator selects an event to be viewed from among a plurality of event candidates (S12). Here, the order is to select the process value and then select the event, but you can also select the event and then select the process value. Since the operator performs trace work by crossing the time series data of process values and the time series data of events, there are cases where it is desired to view events of the same time period from abnormal changes in process values, and process values of the same time period from the time of occurrence of the event. This is because there are cases where you may want to view changes in .

The time series display unit 70 displays the time series data of the selected process value and the time series data of the selected event by aligning the time axis (S14). As a display mode, there is a mode in which time series marks of events are displayed in a row by aligning them with the time axis of the time series graph of process values, and a mode in which time series marks of events are displayed in an overlapping manner by aligning them with the time axis of a time series graph of process values. . In the form of displaying the time series marks of events in a time series graph of the process value, the operator can individually view and monitor the time change of the process value and the frequency of occurrence of the event, and display the time series of events in the time series graph of the process value. In the form of displaying marks by overlapping them, the operator can view and monitor the relationship between time changes in process values and the frequency of occurrence of events in one graph.

The display mode switching unit 80 causes the operator to select a display mode for time series data of process values and events (S16). When the operator instructs the display mode to be switched (Y in S16), the display mode switching unit 80 changes the display mode in the time series display unit 70 (S18) and returns to step S14. For example, when the operator instructs the parallel display mode, the event time series chart is displayed in parallel with the time axis aligned with the process value time series graph. When the operator specifies the overlapping display mode, the time series chart of the event is displayed by aligning the time axis with the time series graph of the process value. If the operator does not instruct to switch the display mode (N in S16), step S18 is skipped and the process returns to step S14.

According to the abnormality monitoring device 300 of this embodiment, by displaying the time series data of the process value and the time series data of the event by aligning the time axis, the operator can easily relate the change in the process value and the frequency of event occurrence. Therefore, it can support early identification of abnormal causes and planning of countermeasures. Since the time axes of the time series graph of process values and the time series chart of events are aligned, the operator can easily perform tracing work across process data and event data, and can respond quickly when an abnormality occurs.

Above, the present invention was explained based on examples. It is understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that various design changes and various modifications are possible, and that such modifications are also within the scope of the present invention.

It can be used for system monitoring technology.

10 Process data acquisition department
20 Process data selection candidate display unit
30 Process data selection section
40 Event data acquisition department
50 Event data selection candidate display section
60 Event data selection section
70 Process data/event data time series display unit
80 Display mode conversion part
Over 300 monitoring device

Claims (11)

a process data acquisition unit that acquires a plurality of process values representing the state of the system as time series data;
an event data acquisition unit that acquires time series data on events including operator operations and alarms in process control of the system;
A time series display unit arranged on a time axis to display the time series of the process values related to the state of the system and the time series of the events related to the process control of the system,
The mark indicating the occurrence of an event is displayed as a vertical line,
The time series information of process values and the time series information of events are graphs of different formats and are displayed simultaneously on the time series display unit. In the time series information of events, the time series information of operator operations and the time series information of alarms are in different areas. displayed at the same time,
An abnormality monitoring device characterized in that alarm time series information is displayed below the time series information of process values, and time series information of operator operations is displayed below the alarm time series information. According to paragraph 1,
An abnormality monitoring device characterized in that the time series display unit displays a time series of the event by displaying a mark indicating the occurrence of the event at the event occurrence time on the time axis. According to claim 1 or 2,
Further comprising a selection unit for allowing an operator to select the process value to be viewed or the event to be viewed from among the process value candidates or the event candidates,
The time series display unit is an abnormality monitoring device characterized in that the time series of the process value or event selected by the operator is switched and displayed. According to claim 1 or 2,
The time series display unit is an abnormality monitoring device characterized in that the time series of the plurality of events are displayed in an overlapping manner. According to claim 1 or 2,
The time series display unit is an abnormality monitoring device characterized in that it displays the time series of the events by arranging them in the time series of the process values. According to claim 1 or 2,
An abnormality monitoring device, wherein the time series display unit displays the time series of the event overlaid on the time series of the process value. According to claim 1 or 2,
An abnormality monitoring device further comprising a switching unit that allows an operator to select whether to display the time series of the events in an array or overlapping with the time series of the process values. A process data acquisition step for acquiring a plurality of process values representing the state of the system as time series data by a process data acquisition unit;
An event data acquisition step for acquiring, by an event data acquisition unit, time series data regarding events including operator operations and alarms in process control of the system;
A time series display step for displaying the time series of the process values related to the state of the system and the time series of the events related to the process control of the system by aligning the time axis by a time series display unit,
The mark indicating the occurrence of an event is displayed as a vertical line,
The time series information of process values and the time series information of events are graphs of different formats and are displayed simultaneously on the time series display unit. In the time series information of events, the time series information of operator operations and the time series information of alarms are in different areas. displayed at the same time,
An abnormality monitoring method characterized in that alarm time series information is displayed below the time series information of process values, and time series information of operator operations is displayed below the alarm time series information. A process data acquisition step for acquiring a plurality of process values representing the state of the system as time series data, and an event data acquisition step for acquiring time series data regarding events including operator operations and alarms in process control of the system, Executing a time series display step to align the time axis and display the time series of the process values related to the state of the system and the time series of the events related to process control of the system,
The mark indicating the occurrence of an event is displayed as a vertical line,
The time series information of process values and the time series information of events are graphs of different formats and are displayed simultaneously on the time series display. In the time series information of events, the time series information of operator operations and the time series information of alarms are simultaneously displayed in different areas. displayed,
A non-transitory computer-readable recording medium that records a program that displays time-series information of alarms below the time-series information of process values and displays time-series information of operator operations below the time-series information of alarms. When acquiring a plurality of process values representing the state of the system as time series data, acquiring time series data about events including operator operations and alarms in process control of the system, and monitoring the state of the system, the system The time series of the process values related to the state and the time series of the events related to the process control of the system are displayed in an aligned time axis, and a mark indicating the occurrence of an event is displayed as a vertical line,
The time series information of process values and the time series information of events are graphs of different formats and are displayed simultaneously on the time series display. In the time series information of events, the time series information of operator operations and the time series information of alarms are simultaneously displayed in different areas. displayed,
A control device in which time series information of alarms is displayed below the time series information of process values, and time series information of operator operations is displayed below the time series information of alarms. A plurality of process values representing the state of the process system are acquired as time series data, time series data regarding events including operator operations and alarms in process control of the process system are acquired, and the state of the process system is acquired. When monitoring, the time series of the process values related to the state of the process system and the time series of the events related to the process control of the process system are displayed in alignment with the time axis, and the mark indicating the occurrence of the event is a vertical line. mark,
The time series information of process values and the time series information of events are graphs of different formats and are displayed simultaneously on the time series display. In the time series information of events, the time series information of operator operations and the time series information of alarms are simultaneously displayed in different areas. displayed,
A plant in which time series information of alarms is displayed below the time series information of process values, and time series information of operator operations is displayed below the time series information of alarms.