JP2016201011A - Plant data summary display device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a plant data summary display device that can display even plant data accumulated for a long period in a limited display area without losing characteristics and tendencies of the plant data.SOLUTION: A plant data summary display device comprises: a plant data storage unit 11 that retains plant data accumulated in the past; a display term input unit 12 that inputs a time range defining a display period of the plant data; a characteristic area extraction unit 13 that extracts a change in plant data as a characteristic area of an event phenomenon, and divides the plant data for each extracted characteristic area into a plurality of divided sections; a summary condition extraction unit 14 that sets a summary condition for a summary display in which the display period of the plant data is displayed with the display period thereof compressed every the plurality of divided sections divided by the characteristic area extraction unit; and a summary data creation display unit 15 that displays summary data summarized on the basis of the summary condition.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a plant data summary display device for summarizing and displaying accumulated past plant data in a plant monitoring control system.

  Plant monitoring and control systems often have a function of displaying events such as accidents and abnormal conditions. For example, Patent Document 1 discloses a data display device that displays a graph capable of performing trend monitoring and abnormal value monitoring of plant data over a long period of time.

JP 2010-49533 A

  In the data display device of Patent Literature 1, monitoring data is displayed as a graph based on the maximum value, minimum value, and average value of past monitoring data. Thereby, it is possible to grasp the tendency of the monitoring data.

  However, in the technique disclosed in Patent Document 1, since long-term monitoring data is displayed using an average value, a characteristic tendency such as a sudden change in value is lost. Further, when it is desired to check long-term data, it is necessary to sequentially check the entire data from the beginning.

  The present invention has been made to solve the above-described problems, and even long-term accumulated plant data is displayed in a limited display area without losing the characteristics and trends of the plant data. An object of the present invention is to provide a summary display device for plant data that can be used.

  A plant data summary display device according to the present invention includes a plant data storage unit that stores plant data accumulated in the past, a display period input unit that inputs a time range that defines a display period of the plant data, and the plant A change of data is extracted as a feature region of the occurrence event, a feature region extraction unit that divides the plant data for each extracted feature region into a plurality of divided sections, and the display period of the plant data includes the feature A summary condition extraction unit that sets a summary condition for summary display that is compressed and displayed for each of the plurality of divided sections divided by the region extraction unit, and a summary that displays summary data summarized based on the summary condition A data generation display unit.

  According to the plant data summary display device according to the present invention, even plant data accumulated for a long time can be displayed in a limited display area without losing the characteristics and trends of the plant data. The plant data can be checked efficiently.

It is a functional block diagram which shows the structure of the summary display apparatus of the plant data of Embodiment 1 which concerns on this invention. It is a hardware block diagram which implement | achieves the summary display apparatus of plant data. It is a figure which shows an example of the information stored in a plant data storage part. It is a figure which shows an example of the start time and end time of a summary data display period. It is a flowchart which shows feature area extraction operation | movement. It is a flowchart explaining operation | movement of the production | generation of the variation table of plant data. It is a figure which shows the variation | change_quantity table of the plant data produced in the feature area extraction part. It is a flowchart explaining the operation | movement which divides | segments a display period into the area for every characteristic area unit. It is a figure explaining the determination operation | movement of the division point in case plant data is represented by multiple values. It is a figure explaining the determination operation | movement of the division point in case plant data is represented by multiple values. It is a figure explaining the judgment operation of a division point in case plant data is expressed by binary. It is a figure explaining the judgment operation of a division point in case plant data is expressed by binary. It is a figure which shows an example of a division | segmentation table. It is a figure which shows an example when the information stored in a contingency table has a graph format. It is a flowchart explaining the operation | movement which detects the sudden change of plant data. It is a figure which shows the current waveform of an electric current value as an example of plant data. It is a figure which shows the state which divided the plant data into the some division | segmentation area. It is a flowchart explaining the integration operation of a division area. It is a figure which shows an example at the time of dividing the area of plant data, without integrating the division area. It is a figure which shows an example at the time of integrating the division area and performing the area division of plant data. It is a flowchart explaining the classification | category operation | movement of the appearance tendency of the change of plant data. It is a figure which shows an example of an appearance tendency table | surface. It is a flowchart which shows summary condition extraction operation | movement. It is a figure which shows an example of summary conditions. It is a figure which shows an example of the summary data displayed in a summary data generation display part. It is a flowchart which shows the operation | movement which specifies a quality defect area etc. It is a figure which shows the plant data containing a missing measurement area. It is a functional block diagram which shows the structure of the summary display apparatus of the plant data of Embodiment 2 which concerns on this invention. It is a figure which shows an example of the extraction location designated via the extraction location designation | designated part. It is a flowchart which shows the summary condition extraction operation | movement in a summary condition extraction part. It is a figure which shows an example of the summary display when the extraction location is designated. It is a functional block diagram which shows the structure of the summary display apparatus of the plant data of Embodiment 3 which concerns on this invention. It is a figure which shows an example of plant equipment information. It is a flowchart which shows operation | movement of a related event extraction part. It is a figure which shows an example of a summary data display period.

<Embodiment 1>
FIG. 1 is a functional block diagram showing a configuration of a plant data summary display apparatus 100 according to Embodiment 1 of the present invention. As shown in FIG. 1, the plant data summary display device 100 includes a plant data storage unit 11 that stores accumulated past plant data, and a display for inputting a time range that defines a display period for displaying plant data. A period input unit 12, a change in plant data is extracted as a feature region of an occurrence event, a feature region extraction unit 13 that classifies plant data for each extracted feature region, and a display of plant data for each segmented feature region A summary condition extraction unit 14 that extracts a summary condition for summary display that compresses and displays a period and a summary data generation display unit 15 that displays summary data summarized based on the summary condition are provided.

  FIG. 2 is a hardware configuration diagram showing a hardware configuration for realizing the plant data summary display device 100 shown in FIG. As shown in FIG. 2, the plant data summary display device 100 is realized by, for example, a PC (personal computer) 21, but is not limited to a PC as long as it is a computer system.

  The PC 21 includes a central processing unit (CPU) 22 that performs arithmetic operations, a storage device 23 such as a hard disk device and a flash memory that stores information, and an input device that inputs data to the PC 21 such as a keyboard and a mouse. 24 and an output device 25 such as a display for displaying summary data. This configuration is the same in the second and subsequent embodiments.

  In the plant data summary display device 100 shown in FIG. 1, the plant data storage unit 11 is realized by the storage device 23, the display period input unit 12 is realized by the input device 24, and the feature region extraction unit 13 and the summary condition extraction unit. 14 is realized by a software program developed by the CPU 22, and the summary data generation / display unit 15 is realized by the output device 25.

  FIG. 3 is an example of information stored in the plant data storage unit 11. The plant data storage unit 11 stores plant data names, times, and plant data values as plant data. FIG. 3 shows an example of the device 1 current value and the device 2 switch as the plant data name. As the device 1 current value, the current value of the device 1 measured every second from 10:00: 00 As the device 2 switch, the ON / OFF state of the device 2 (switch) every 1 second from 10:00:00 is shown as the plant data value.

  The data storage format may be stored using a binary format, text format, or RDB (Relational Database). Moreover, as plant data values, state values such as missing data or missing data may be stored in addition to measured values such as current values.

  FIG. 4 is an example of the start time and end time of the summary data display period input via the display period input unit 12, and the start time is 10:00 on February 3, 2014, and the end time Is 23:59:59 on February 10, 2014. Here, the end time may be specified by a relative time from the start time instead of the absolute time specification. For example, in FIG. 4, when the end time is set to “15 hours” by specifying the relative time, the extraction range of the summary condition for performing the display process is “2014/02/03 10:00:00” to “2014 / 02/04 01:00:00 "is eligible.

<1. Feature region extraction operation>
FIG. 5 is a flowchart showing the feature region extraction operation of the feature region extraction unit 13. When the feature region extraction unit 13 starts the feature region extraction operation, first, the feature region extraction unit 13 reads the start time ST and the end time ET of the summary data display period designated via the display period input unit 12 (step 51).

  Next, after setting the start time ST to the search time T in step S52, a plant data change amount table is generated (step S53).

  Next, the search time T is advanced by one preset minimum unit time (step S54). Here, one minimum unit time can be arbitrarily set such as 1 second, 10 seconds, and 100 seconds, and is set based on the usage mode and function of the device to be monitored.

  Next, in step S55, it is determined whether or not the search time T has passed the end time ET. If it has passed, the process proceeds to step S56, and if not, step S53 and subsequent steps are repeated. Here, if the end time ET is 23:59:59 on February 10, 2014 shown in FIG. 4, the feature region extraction unit 13 starts from 10:00 on February 3, 2014, and 1 Steps S53 to S55 are performed at the minimum unit time interval to collect data.

  If the search time T has passed the end time ET, it means that the extraction of the summary condition for performing the display processing has ended, and the display period is divided into sections (divided sections) for each feature region unit ( Step S56). Here, the summary data display period includes a steady region where the plant data does not change and is operating steadily, and a feature region where the plant data suddenly changes, including step S56. Is a process of extracting a feature region by dividing the summary data display period into a plurality of sections.

  Thereafter, the appearance tendency of changes (features) in the plant data is classified (step S57), and the series of processes is terminated.

<1-1. Generation of plant data change amount table>
FIG. 6 is a flowchart for further explaining the operation of generating the plant data change amount table in step S53 shown in FIG.

  When the generation of the plant data change amount table is started, the feature region extraction unit 13 first extracts the plant data at the search time T stored in the plant data storage unit 11 (step S61). This plant data is data about a device to be monitored that is set in advance, and is data about the device 1 and the device 2 as shown in the example of FIG. 3, for example.

  In step S62, it is determined whether or not there is unprocessed plant data for which the generation process of the change amount table has not been completed among the plant data of the devices that are the monitoring targets (processing targets). If there is any plant data, the process proceeds to step S63, and if there is no unprocessed plant data, the change amount table generating operation is terminated.

  In step S63, the plant data value at the search time T is compared with the search time one minimum unit time before the search time T, that is, the plant data value at the time (T-1), and the plant data value is increased or decreased. calculate. Here, the increase / decrease of the plant data value may record not only the numerical change amount but also the number of changes. For example, in the case of the device 2 (switch) as shown in the example of FIG. 3, the number of times of switching may be recorded.

  In step S64, the change amount of the plant data value and the calculation target period are associated with each other and stored in the change amount table, and the processes in and after step S62 are repeated until there is no unprocessed plant data.

  FIG. 7 is an example of a plant data change amount table created by the feature region extraction unit 13. The change amount table shown in FIG. 7 repeats the processing from step S53 to step S55 in the flowchart described with reference to FIG. 5 at intervals of 1 minimum unit time from the start time ST to the end time ET of the summary data display period. It is obtained by.

  As shown in FIG. 7, the plant data change amount table stores the target plant data name, the calculation target period, and the change amount. Here, the amount of change indicates, as an example, a value of a difference in plant data values in a period to be calculated, that is, a period between the search time T and the time (T-1).

  If the target of the plant data is an analog value, the increased / decreased value is stored as a signed real number, such as the amount of change indicated by the plant data name “equipment 1 current value” in FIG. For example, the amount of change in the period from 10:00 to 10:00:01 on February 3, 2014 is stored as 0.1 A (ampere), and 10:00:02 to 10:00. : The change amount in the period of 03 is stored as −1.7 A, and indicates that the current value has decreased in this period.

  Also, if the target of the plant data is a digital value, “00”, “01”, “10”, “11”, like the amount of change indicated by the plant data name of “device 2 switch” in FIG. Stored as binary data. Here, the change amount “00” remains from “0” to “0” (the switch remains on or remains off) during the period between the target time T and the time (T−1). This indicates that the device 2 has not changed, and the change amount “01” indicates that the switch has changed from “0” to “1” (the switch has changed from ON to OFF or from OFF to ON). Yes.

<1-2. Flow to divide display period into sections for each feature area unit>
FIG. 8 is a flowchart for further explaining the operation of dividing the display period of step S56 shown in FIG. 5 into sections for each feature region unit.

  When the feature region extraction unit 13 starts an operation of dividing the display period into sections for each feature region unit, the feature region extraction unit 13 first extracts plant data from the change amount table created in step S53 (FIG. 5) (step S81).

  In step S82, the start time ST of the summary data display period is set as the classification search time T in order to search for the start and end times of the divided sections.

  Next, in step S83, a classification search time one minimum unit time before the classification search time T, that is, a plant data value at time (T-1), is set as the pre-change plant data PV. Proceed to judgment operation.

  In step S84, the pre-change plant data PV and the plant data at the classification search time are compared using the threshold values set as the upper limit value and the lower limit value, and the value of the pre-change plant data PV and the plant data at the classification search time T are compared. If there is an upper limit value or a lower limit value between the values, that is, if the value of the plant data at the classification search time T changes across the upper limit value or the lower limit value, the classification search time T is divided into sections. It is determined as the division point. The division point is the start point of a new divided section and the end point of the previous divided section.

  On the other hand, if the value of the plant data at the classification search time T does not cross the upper limit value or the lower limit value, that is, if the value of the plant data changes only between the upper limit value and the lower limit value, Yes, the classification search time T is not a division point.

  The above-described dividing point determination operation will be further described with reference to FIGS. FIG. 9 and FIG. 10 are diagrams schematically illustrating the operation of determining the dividing points when the plant data is expressed in multiple values such as a change in current value.

  FIG. 9 shows a time change (current waveform) CW of a current value as plant data, and an upper limit UL and a lower limit DL are set as threshold values for the current value (vertical axis). As shown in FIG. 9, the current waveform CW has a portion that changes over the upper limit value UL or the lower limit value DL, and a portion that changes only between the upper limit value UL and the lower limit value DL. Yes. In addition, although there is a part which has changed in the area | region smaller than lower limit DL, description is abbreviate | omitted.

  FIG. 10 shows a state in which the dividing points are set with respect to FIG. 9, and five dividing points from P1 to P5 are set. For example, since the current value at the classification search time T1 one minimum unit time before it is smaller than the lower limit DL, the current at the segment P1 is determined to have changed across the lower limit DL. And set as a division point.

  In addition, since the current value at the classification search time T2 one minimum unit time before the segment point P2 is a value between the upper limit value UL and the lower limit value DL, the current value at the segment point P2 is the lower limit value DL. It is determined that it has changed over the range, and it is set as a division point.

  In addition, there is a time interval of one minimum unit time between the division points P2 and P3, and the division point P3 is a current at the classification search time T3 (that is, the division point P2) one minimum unit time before that. Since the value is smaller than the lower limit DL, it is determined that the current value at the dividing point P3 has changed across the lower limit DL, and is set as the dividing point.

  In addition, since the current value at the classification search time T4 one minimum unit time before the segment point P4 is a value between the upper limit value UL and the lower limit value DL, the current value at the segment point P4 is the lower limit value DL. It is determined that it has changed over the range, and it is set as a division point.

  In addition, there is a time interval of one minimum unit time between the division points P4 and P5, and the division point P5 is a current at the classification search time T5 (that is, the division point P4) one minimum unit time before that. Since the value is smaller than the lower limit value DL, it is determined that the current value at the dividing point P5 changes across the lower limit value DL, and is set as the dividing point. In addition, the arrow in a figure has shown the up-and-down movement of the electric current value.

  As described above, by using the threshold values set as the upper limit value and the lower limit value, it is possible to perform an operation for determining a division point when the plant data is expressed in multiple values.

  In the above, the determination operation of the dividing point when the plant data is represented by multi-values has been described. However, the case where the plant data is represented by binary values such as an ON / OFF state of the switch can be similarly handled. it can.

  That is, in the case of a switch change, an upper limit value and a lower limit value are set in the horizontal axis (time axis) direction, and within the time axis (time series) direction section divided by the upper limit value and the lower limit value, It can be determined by whether or not the value change is continuously occurring.

  The operation for determining the dividing point when the plant data is in the on / off state of the switch will be further described with reference to FIGS. 11 and 12.

  FIG. 11 shows the time change (pulse waveform) PW of the switch on / off state as plant data, and the determination section X set by the upper limit UL and the lower limit DL with respect to the time axis (horizontal axis). And Y are shown. Note that the interval at which the determination section is provided and the length of the determination section itself can be arbitrarily set, and may be set according to the operation of the device to be monitored.

  In FIG. 11, in the determination section X, one pulse is generated by turning on and off the switch. In the determination section Y, a plurality of pulses are continuously generated across the section.

  FIG. 12 shows a state in which partition points are set with respect to FIG. 11, and three partition points are set from P11 to P13. Here, the division point P11 is assumed to be the end point of the previous divided section, and the classification search time T00, which is one minimum unit time after the division point P11, is set to T00, the plant data of the division point P11, and Since the value of the plant data at the classification search time T00 is a value between the upper limit value UL and the lower limit value DL, the classification search time T00 is not determined as a division point, and the pulse in the determination interval X Even if there is, the section is classified as a flat section without a pulse.

  On the other hand, when the division point P12 is compared with the plant data at the classification search time T12 one minimum unit time before that, it is determined that the value of the plant data at the division point P12 changes across the lower limit DL. And set as a division point.

  Further, when the division point P13 is compared with the plant data at the classification search time T13 one minimum unit time before that, it is determined that the value of the plant data at the division point P13 changes across the upper limit UL. And set as a division point.

  When the classification search time T is determined as the division point of the divided section in the operation of determining the division point in step S84 described above, the process proceeds to step S85, and the classification search time T is set as the division point. On the other hand, if the classification search time T is not determined as the division point of the divided section, the classification search time T is advanced by one minimum unit time in step S88, and then the processing in step S83 and subsequent steps is repeated.

  Then, the division points set in step S85 are registered in the contingency table as shown in FIG. 13 (step S86), and the process proceeds to step S87.

  In step S87, it is determined whether or not the divided search time T is the end time ET of the summary data display period (is greater than or equal to the end time ET). If the end time ET has been reached, the display period is set for each feature region unit. When the operation for dividing the section is terminated, otherwise, the classification search time T is advanced by one minimum unit time in step S89, and then the processes in and after step S83 are repeated.

  FIG. 13 shows an example of the split table 91 obtained in step S86 shown in FIG. As shown in FIG. 13, the division table stores a section number, a plant data name, a start time and an end time of the divided section. The start time and end time of the divided section in FIG. 13 correspond to the time of the division point set in step S85, and one section is determined by setting the start time and end time of the divided section. A number is assigned.

  Note that the information stored in the contingency table may be stored not in a table format but in a graph format, and each section is separated by a broken line along the time-series direction of the current waveform CW as in the graph 92 shown in FIG. And the section number may be displayed for each section.

<1-3. Detection of sudden changes in plant data>
In the flow of dividing the display period described with reference to FIG. 8 into sections for each feature region unit, in step S84, a threshold is provided to set a dividing point by detecting a change amount (feature amount) of plant data, Divided sections were defined by dividing points. At that time, since the change amount of the plant data in each divided section is acquired at one minimum unit time interval, a change similar to the change of the plant data in a specific divided section has existed in the past. It is possible to search whether or not the change in plant data in the specific divided section is periodic. And by performing the said determination, the sudden change which arises separately from the periodic change of plant data is detectable. Hereinafter, the detection method will be described with reference to FIGS.

  FIG. 15 is a flowchart for explaining an operation for detecting an abrupt change in plant data using features of past plant data. Note that the flowchart shown in FIG. 15 will be described assuming that a sudden change in plant data is detected between step S85 and step S86 in the flowchart shown in FIG.

  That is, in the feature region extraction unit 13, after setting the time of the division point in step S85, the change (feature) similar to the change (feature) of the plant data in the divided section defined by the division point is changed in the past. It is determined whether it exists in plant data (step S101).

  FIG. 16 shows a current waveform of a current value as an example of plant data, and shows an example in which a minute change 110 occurs as an abrupt change within the summary data display period.

  FIG. 17 shows a state in which the plant data is divided into a plurality of divided sections. A section in which a minute change 110 occurs in the summary data display period is shown as a divided section 112 and immediately before the divided section 112. It is shown that a current waveform CW0 similar to the current waveform CW1 in the divided section 111 is periodically generated in past plant data. As described above, the current waveform CW1 in the divided section 111 is periodically generated. In step S101, such a periodic change in the plant data can be detected.

  Here, as shown in FIG. 16, the minute change 110 changes between the lower limit value DL and the upper limit value UL. In the process of step S84 shown in FIG. It will not be detected as a feature of. However, by determining whether or not the current waveform CW1 is periodically generated in the past plant data in step S101, the minute change 110 can also be detected as a feature of the plant data.

  That is, after the division section 111 is defined, the division section is defined by the process of step S84 shown in FIG. 8 for the region including the minute change 110. In addition to the current waveform CW1, the minute change 110 is included in the division section. In step S101, it is determined that there is no similar current waveform in the divided section in the past plant data, and the process proceeds to step S102. The determination in step S101 is made by comparing the current waveform in the past plant data with the current waveform in the divided section defined to include the minute change 110.

  In step S102, the minute change 110 is specified by detecting data that does not match based on the comparison result between the current waveform in the divided section in step S101 and the current waveform in the past plant data.

  In step S103, division points 112 shown in FIG. 17 are defined by setting segment points before or after the specified minute change 110. In the setting of the division points here, for example, the classification search time T closest to the minute change 110 among the classification search times T set for each minimum unit time in the process of step S84 shown in FIG. May be set as a dividing point.

  As described above, through the processing of steps S101 to S103, the divided section 112 is defined and the divided section 113 is also defined. Thereafter, in step S86 shown in FIG. 8, the division points are registered in the divided table. It becomes.

  If it is determined in step S101 that there are similar features in the past plant data, the process proceeds to step S86.

  As described above, sudden changes such as the minute change 110 included in the summary data display period can be extracted as features of the plant data through the processes of steps S101 to S103.

<1-4. Integration operation of divided sections>
In the flow of dividing the display period described with reference to FIG. 8 into sections for each feature region unit, in step S84, a threshold is provided to set a dividing point by detecting a change amount (feature amount) of plant data, Divided sections were defined by dividing points. At that time, since the change amount of the plant data in each divided section is acquired at one minimum unit time interval, the similarity of the characteristics of the plant data in the divided sections that precede and follow the specific divided section is determined. When similarity is recognized in both divided sections, the periodicity of the characteristics of the plant data can be further clarified by integrating the divided sections. An operation for integrating divided sections will be described with reference to FIGS.

  FIG. 18 is a flowchart for explaining the integration operation of the divided sections. Note that the flowchart shown in FIG. 18 will be described assuming that division sections are integrated between step S85 and step S86 of the flowchart shown in FIG.

  That is, in the feature region extraction unit 13, one division section is defined by setting the time of the division point in step S85, and in step S86, the time of the division point is registered in the division table, but is registered in the division table. In step S111, the start time of the divided section is reset to the start time of the previous section. The end time is not changed. Thus, the two divided sections are integrated into one and become an integrated section.

  Then, it is determined whether or not a divided section (similar section) having a feature that matches (or resembles) the characteristics of the plant data in the integrated divided section exists in the past plant data (step S112). If so, the process proceeds to step S113. If not, the process proceeds to step S114. In step S114, the integrated section is canceled and the time of the division point set in step S85 is registered in the contingency table.

  On the other hand, in step S113, it is determined whether or not the similar section determined to exist in step S112 is a continuous section with the integrated section. If the similar section is a continuous section, it is registered in the contingency table as an integrated section in step S86. If it is not a continuous section, it is determined that the integrated section is an independent section having no periodicity, the process proceeds to step S114, and the integrated section is canceled.

  FIG. 19 is a diagram illustrating an example when the section division of the plant data is performed without performing the processes of steps S111 to S113 described above. As shown in FIG. 19, in the plant data in which the current waveform CW11 and the current waveform CW12 appear alternately, if the section is divided in the process of step S84 shown in FIG. 8, the current waveform CW11 and the current waveform CW12 are obtained. These are included in separate divided sections DS. However, by performing the processing of steps S111 to S113, as shown in FIG. 20, the current waveform CW11 and the current waveform CW12 are included in one divided section DS, and the current waveform CW11 and the current waveform CW12 are a series. It becomes clearer that the current waveform appears periodically.

<1-5. Classification of the appearance tendency of changes in plant data>
FIG. 21 is a flowchart for further explaining the classification operation of the appearance tendency of the change in the plant data in step S57 shown in FIG.

  When the feature region extraction unit 13 starts the operation of classifying the appearance tendency of changes in plant data, the feature region extraction unit 13 reads the contingency table created in step S86 described with reference to FIG. 8 (step S141), and proceeds to step S142.

  In step S142, the change amount of the plant data in the divided section that is the target of the classification operation is converted into data (feature amount is extracted), and the process proceeds to step S143. That is, in step S84 described with reference to FIG. 8, a threshold value is provided and a change point (feature value) of plant data is detected to set a division point, and a division section is defined by the division point. At that time, since the change amount of the plant data in each divided section is acquired at one minimum unit time interval, the change amount of the plant data acquired in step S84 may be converted into data.

  In step S143, it is confirmed whether or not there is an unprocessed section to be classified. If there is an unprocessed section, the process proceeds to step S144. If there is no unprocessed section, the classification process is terminated.

  In step S144, change data of the plant data corresponding to each division section in the contingency table (data converted in step S142) is extracted, and the process proceeds to step S145.

  In step S145, the division section subject to the classification operation is compared with the next processing section, and it is determined whether or not the section is a similar section having a change (feature) of plant data similar to the next processing section. When it is determined that it is a similar section, the process proceeds to step S146, and when it is determined that it is not a similar section, the process proceeds to step S148. The similarity determination is the same as step S101 described with reference to FIG.

  In step S146, an appearance tendency table in which the appearance frequency of changes in plant data is summarized for each similar section is created, and the process proceeds to step S147. FIG. 22 shows an example of the appearance tendency table.

  The appearance tendency table 151 shown in FIG. 22 stores the classification number of the similar section, the appearance frequency (number of times) of the similar section, and the total appearance time (seconds). For example, it is shown that the similar section with classification number 1 appears three times during the summary data display period, and the total of similar sections with classification number 1 is 15 seconds.

  In step S147, the divided sections for which similarity has been determined are excluded from the determination targets, and the process proceeds to step S148. In the case of similarity in step S148, the segment for which similarity is determined is set as the next segment, and the processes in and after step S143 are repeated.

<2. Summary condition extraction operation>
FIG. 23 is a flowchart showing the summary condition extraction operation of the summary condition extraction unit 14. When the summary condition extraction unit 14 starts the summary condition extraction operation, the summary condition extraction unit 14 first reads the appearance tendency table created by the feature region extraction unit 13 (step S161), and proceeds to step S162.

  In step S162, it is confirmed whether or not there is an unprocessed section to be subjected to the summary condition extraction process. If there is an unprocessed section, the process proceeds to step S163. If there is no unprocessed section, the summary condition extraction process is performed. finish.

  In step S163, the section having the maximum feature value is set as the reference section from the appearance tendency table, the display summary rate is determined, and summary data is created. For example, the similar section of classification number 3 in the appearance tendency table 151 shown in FIG. 22 appears four times during the summary data display period, and the total period during which the plant data changes is 719 seconds. ing. This is a section having the maximum feature amount in the appearance tendency table 151, and a similar section with classification number 3 is set as a reference section. The display summarization ratio is obtained by assigning a display compressible ratio in units of sections, and is set as a compression ratio with respect to the size of the reference section.

  In step S164, the remaining displayable time is calculated by subtracting the total time of the reference section from the displayable time in the summary data generation display unit 15 (FIG. 1), and the process proceeds to step S165.

  In step S165, the display summary rate of the data in the divided sections other than the reference section is uniformly changed so that the data in the divided sections other than the reference section can be displayed during the remaining displayable time calculated in step S164. For example, when the remaining displayable time is 60% of the displayable time, the display summarization ratio set for each of the divided sections other than the reference section in step S163 is decreased by 60%. Then, the process after step S162 is repeated.

  FIG. 24 is a list 171 showing an example of summary conditions obtained by the summary condition extraction unit 14. The generated summary condition list 171 stores plant data name, summary start time, summary end time, display summary rate, and the like. Here, the summary start time and the summary end time correspond to the start time and end time of the divided sections, respectively. The display summary rate is displayed as a percentage, but it may be displayed as a percentage. In FIG. 24, a divided section in which the summarization rate is 100% (sometimes referred to as equal magnification or compression rate 0%) corresponds to the reference section.

  FIG. 25 is an example of summary data displayed on the summary data generation / display unit 15. FIG. 25 is an example in which the current value of the device 1 is displayed as a graph as plant data, with the horizontal axis representing the time axis and the vertical axis representing the current value. The plant data is shown for one week from February 3 to February 10.

  In FIG. 25, the upper part shows plant data before summarization, and the lower part shows plant data after summarization. As shown in FIG. 25, the display summary rate is 100% in the divided section DS1, which is the reference section, and the display summary rate is smaller than 100% in the other divided sections, and is displayed in a compressed form. The summary data may be displayed in a tabular format in addition to the graph as shown in FIG. The obtained summary data is stored in the plant data storage unit 11.

  In this way, by displaying plant data as summary data, regions of plant data that have changes that appear repeatedly are displayed at the same magnification without being compressed, and regions that have changes with a small number of appearances are compressed. Therefore, even plant data accumulated for a long time can be displayed in a limited display area.

  In the above description, the example of determining whether to display the compressed data or the same size display based on the number of changes in the plant data has been shown. You may decide. In that case, in the operation of classifying the appearance tendency of the change in plant data described with reference to FIG. 21, the summarization condition may be set with the divided section having the largest absolute value of the change in plant data as the reference section. In this case, since a region having a large change is displayed without being compressed, it is possible to efficiently confirm past plant data.

<3. Specific actions such as poor quality section>
The plant data may include a section in which measurement data is missing (missing section) or a quality failure section in which low-quality data is recorded. The summary condition extraction unit 14 performs processing on plant data including these. Can set the missing flag and the poor quality section by setting a predetermined flag.

  FIG. 26 is a flowchart showing an operation of identifying a quality defect section or the like with respect to plant data including the quality defect section or the like. When the summary condition extraction unit 14 starts an operation for identifying a defective quality section or the like, first, the summary condition extraction unit 14 reads the appearance tendency table created by the feature region extraction unit 13 (step S191), and proceeds to step S192.

  In step S192, it is confirmed whether the target section of the summary condition extraction process includes a missing section or a poor quality section. This process can be determined not only based on the presence / absence of data or pass / fail based on a predetermined threshold value, but also based on a quality flag included in the plant data itself. This flag is given by the plant data supplier.

  If it is determined in step S192 that a missing measurement section or a poor quality section is included, the process proceeds to step S193. If it is determined that a missing section or a poor quality section is not included, the specific operation such as a defective quality section is terminated.

  In step S193, in order to show that it is a missing measurement section and a poor quality section, a missing measurement section flag and a poor quality section flag are set at the start time and end time of the section, and the process proceeds to step S194.

  In step S194, the summarization rate of the section in which the poor quality section flag or the like is set is uniformly changed, and then the processing in step S192 and subsequent steps is repeated.

  Note that the above-described specific operation such as a defective quality section may be performed in parallel with the summary condition extraction operation described with reference to FIG. 23, or may be performed before or after the summary condition extraction operation.

  FIG. 27 shows an example of displaying the plant data including the missing section in the summary data generation / display unit 15, where the horizontal axis represents the time axis and the vertical axis represents the current value.

  In FIG. 27, the upper part shows plant data before summarization, and the lower part shows plant data after summarization. As shown in FIG. 27, the missing section set with the missing section flag is displayed not only with a summary with a higher compression rate than others, but also with an icon 181 indicating that it is a missing section. It is also possible to display with different colors.

<Embodiment 2>
In the plant data summary display device 100 of the first embodiment described above, the summary conditions for the specified period are automatically extracted by the feature region extraction unit 13 and the summary condition extraction unit 14, but the part that the operator wants to pay particular attention to. For specific plant data, a configuration in which summary conditions can be specified may be used.

  FIG. 28 is a functional block diagram showing the configuration of the plant data summary display apparatus 200 according to the second embodiment of the present invention. As shown in FIG. 28, the plant data summary display device 200 has a configuration in which the plant data summary display device 100 shown in FIG. The same reference numerals are assigned to the same components as in FIG. The hardware configuration for realizing the plant data summary display device 200 is also the same as the configuration shown in FIG. 2, and the extraction location specifying unit 211 is realized by the input device 24 in the same manner as the display period input unit 12. Is done.

  The extraction location specification unit 211 is connected to the summary condition extraction unit 14 and can specify a specific extraction location of plant data, and is configured by the same keyboard and mouse as the input device 24.

  FIG. 29 is a list 221 showing an example of extraction locations designated via the extraction location designation unit 211. In FIG. 29, a time range (specified period) is specified as an extraction location, and a plant data name as an extraction target is specified. That is, the extraction start time is set to 10:00 on February 3, 2014, the end time is set to 23:59:59 on February 10, 2014, and the name of the plant data to be extracted Is device 1 data. A plurality of extraction locations may be designated, and a threshold value may be set in order to extract plant data that changes at a value equal to or greater than a certain threshold value.

  FIG. 30 is a flowchart showing a summary condition extraction operation in the summary condition extraction unit 14 when an extraction location is designated via the extraction location designation unit 211. When the summary condition extraction unit 14 starts the summary condition extraction operation, the summary condition extraction unit 14 first reads the appearance tendency table created by the feature region extraction unit 13 (step S231), and proceeds to step S232.

  In step S232, the designated period is set as a reference section, and the process proceeds to step S235. In step S235, the remaining displayable time is calculated by subtracting the total time of the reference section from the displayable time in the summary data generation display unit 15 (FIG. 1), and the process proceeds to step S236.

  In step S235, if there are two types of reference sections, that is, the reference section set in step S232 and the reference section set through steps S231, S233, and S234, the total time of both is calculated. The remaining displayable time is calculated by subtracting from the displayable time.

  In step S236, the display summarization ratio of the data of the divided sections other than the reference section is uniformly changed so that the data of the divided sections other than the reference section can be displayed during the remaining displayable time calculated in step S235. This process is the same as the process in step S165 described with reference to FIG. Then, the process after step S233 is repeated. Note that the processing from step S233 to step S236 is the same as the processing from step S162 to step S165 described with reference to FIG. It should be noted that, in the portion where the extraction location is not specified, by performing the processing from step S233, the reference section is set and the reference section is displayed in the same size without being summarized as in the first embodiment. It becomes.

  FIG. 31 is an example of a summary display when an extraction location is designated via the extraction location designation unit 211, with the horizontal axis representing the time axis and the vertical axis representing the current value.

  In FIG. 31, the upper part shows the plant data before summarizing, and the extraction point OP is surrounded by an ellipse. The lower part shows the summarized plant data.

  As shown in FIG. 31, the extracted part OP is displayed in the same size without being summarized, and the reference section is also displayed in the same size without being summarized, and the other portions are displayed in the same manner as in the first embodiment. The summary rate is smaller than 100% and is displayed in a compressed form.

  As described above, according to the plant data summary display device 200 of the second embodiment, by designating specific plant data, it is possible to display without summarizing, such as a point that an operator wants to pay attention to. , It can be displayed while maintaining a detailed display.

<Embodiment 3>
In the plant data summary display device 100 according to the first embodiment, the feature for extracting the summary condition is extracted by analyzing the appearance tendency of the feature of the plant data in the feature region extraction unit 13. You may extract based on the equipment information of data.

  FIG. 32 is a functional block diagram showing the configuration of the plant data summary display apparatus 300 according to the third embodiment of the present invention. As shown in FIG. 32, the plant data summary display device 300 further includes a plant facility information storage unit 251 and a related event extraction unit 252 in addition to the plant data summary display device 100 shown in FIG. 1. . Note that. The same components as those of the plant data summary display device 100 are denoted by the same reference numerals, and redundant description is omitted.

  The hardware configuration for realizing the plant data summary display device 300 is also the same as the configuration shown in FIG. 2, and the plant facility information storage unit 251 is realized by the storage device 23 in the same manner as the plant data storage unit 11. The related event extraction unit 252 is realized by a software program developed by the CPU 22 in the same manner as the feature region extraction unit 13 and the summary condition extraction unit 14.

  The related event extraction unit 252 is connected to the plant facility information storage unit 251, and based on the plant facility information stored in the plant facility information storage unit 251, such as the connection relationship of the facilities, control logic, and interlock conditions, the related event extraction unit 252 determines the causal relationship (cause and result) of the occurrence event, and instructs the summary condition extraction unit 14 to display the summary of the plant data related to the determined causal relationship on the summary data generation display unit 15, thereby driving It is possible to display the application tendency of the characteristics of the plant data according to the conditions peculiar to the plant that the staff does not notice.

  FIG. 33 is an example of plant facility information stored in the plant facility information storage unit 251. The plant facility information shown in FIG. 33 is information that the devices 1 and 2 are connected to the device A, and the device 3 is connected to the device B. In addition, although the connection relation of equipment is shown in FIG. 33, information such as control logic and interlock conditions may be used.

  FIG. 34 is a flowchart showing the operation of the related event extraction unit 252 when the connection information of equipment is used. When the related event extraction unit 252 starts the related event extraction operation, in step S271, the summarized data of the plant data to be monitored is acquired from the plant data storage unit 11, and the process proceeds to step S272.

  In step S272, information (for example, information as shown in FIG. 33) related to the facility that holds the plant data to be monitored is acquired from the plant facility information storage unit 251, and the process proceeds to step S273.

  In step S273, the section start time of the characteristic part of the plant data to be monitored is selected, and the process proceeds to step ST274.

  In step S274, it is determined whether there is a feature part in the plant data of the related equipment before the section start time of the feature part of the plant data to be monitored. If there is a feature part, the process proceeds to step S275, and the feature part is missing. If so, the related event extraction operation is terminated.

  In step S275, the extracted portion of the related event is set as a display target, and the processing in step S271 and subsequent steps is repeated.

  FIG. 35 shows an example of a summary data display period when some abnormality occurs in the device A due to the state change of the device 2 in the plant facility information shown in FIG.

  That is, in the plant facility information shown in FIG. 33, the device A monitors and controls the devices 1 and 2, but in this case, the plant data indicating the operation of the device 2 in FIG. A sudden situation occurs and the influence (occurrence of a failure event, etc.) reaches the device A, so that the plant data of the device A changes (features).

  In the feature area extraction unit 13, when the plant data of the device A is to be displayed, the section start time of the feature portion of the plant data of the device A is selected, and the plant of the facility related to the device A is selected before the section start time. Check whether changes (features) have occurred in the data. Here, the equipment associated with the device A is obtained as information shown in FIG. 33, and based on the information, the summary data of the device 2 is acquired from the plant data storage unit 11 and changed to plant data (feature). Check to see if this has occurred.

  In the example of FIG. 35, a change (feature) occurs in the summary data of the device 2 and is displayed in the summary data display period together with the feature portion of the plant data of the device A. FIG. 35 shows an example in which different plant data are simultaneously summarized and displayed in one display area. However, they may be displayed in separate areas or displayed in a superimposed manner. Also good.

  In this way, by displaying the characteristic part of the plant data of the related equipment based on the plant equipment information, the summary display is performed in the display range that is actively changed based on the causal relationship before and after the occurrence of the specific event. be able to. As a result, even if the operator initially designates summary display of only the plant data of device A, related events are automatically displayed as summary data, which can be used to promote understanding of state changes. .

  In the above description, only the connection relationship of the equipment to be monitored has been described, but the same applies to the case of plant equipment information such as control logic and interlock conditions. For example, when a certain signal γ is satisfied from an AND condition of the signal α and the signal β, in the monitoring control of the plant, such a signal aggregation condition may be set to generate a signal state. However, this aggregation relationship represents the relationship between the cause and the result, and the cause signal α and the signal β can be summarized and displayed together with the signal γ that is the result, so that the cause can be estimated.

  It should be noted that the present invention can be freely combined with each other within the scope of the invention, and each embodiment can be appropriately modified or omitted.

  DESCRIPTION OF SYMBOLS 11 Plant data storage part, 12 Display period input part, 13 Feature area extraction part, 14 Summary condition extraction part, 15 Summary data generation display part, 211 Extraction location designation | designated part, 251 Plant equipment information storage part, 252 Related event extraction part

Claims (7)

A plant data storage unit for holding plant data accumulated in the past;
A display period input unit for inputting a time range defining a display period of the plant data;
Extracting the change of the plant data as a feature region of the occurrence event, a feature region extraction unit that divides the plant data for each extracted feature region and forms a plurality of divided sections;
A summary condition extraction unit for setting a summary condition for summary display for compressing and displaying the display period of the plant data for each of the plurality of divided sections divided by the feature region extraction unit;
A plant data summary display device, comprising: a summary data generation / display unit that displays summary data summarized based on the summary conditions. The feature region extraction unit includes:
Detecting the change in the plant data at a predetermined minimum unit time interval of the display period;
The first data value before the one minimum unit time is compared with the second data value at the current time, and a threshold value is set between the first data value and the second data value. 2. When there is an upper limit value or a lower limit value, the time when the second data value is detected is set as a dividing point of the divided section, so that the feature region is extracted and the plant data is divided. Plant data summary display device. The feature region extraction unit includes:
Detecting the change in the plant data at a predetermined minimum unit time interval of the display period;
A region in which changes in the plant data continue beyond the upper limit value and the lower limit value set as threshold values in the time axis direction is extracted as the feature region, and each of the upper limit value and the lower limit value is 1 The plant data summary display device according to claim 1, wherein the plant data is classified by using a time after a minimum unit time and a time before the one minimum unit time as a dividing point of the divided section. The summary condition extraction unit includes:
For each of the plurality of divided sections, a similar section in which the change in the plant data is similar is detected, the type of the similar section is classified, and the similar section having the highest appearance frequency is used as a reference section. Set,
The compression ratio is set so that the divided section other than the reference section is displayed in the remaining displayable time obtained by subtracting the total time of the reference section from the displayable time in the summary data generation display unit, and the reference The plant data summary display device according to claim 1, wherein the summary condition is set so that the section is not compressed. Further comprising an extraction location designating unit for designating a specific location of the plant data as an extraction location,
The summary condition extraction unit includes:
2. The plant data summary display device according to claim 1, wherein the summary condition is set so that the extracted portion is not compressed. A plant equipment information storage unit for storing plant equipment information;
A related event extracting unit that is connected to the plant facility information storage unit and determines a causal relationship of an occurrence event based on the plant facility information;
The related event extraction unit includes:
The plant data summary display device according to claim 1, wherein the determined plant data in the causal relationship is a subject of summary display. The plant facility information includes connection information of a plurality of facilities constituting the plant,
The related event extraction unit includes:
Among the plurality of facilities, the second facility connected to the first facility in which the event has occurred is identified based on the plant facility information,
If a second change has occurred in the second plant data output by the second facility before the occurrence of the first change in the first plant data output by the first facility, It is determined that there is a causal relationship with respect to the occurrence event between the second change and the first change, and the first and second plant data are subjected to summary display. The plant data summary display device.

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