JP6886870B2 - Plant operation monitoring system and plant operation monitoring method - Google Patents

Description

The present invention relates to a plant operation monitoring system and a plant operation monitoring method.

In a plant operation monitoring system that monitors the operation of plants such as water and sewage fields, foods, and chemical factories, trend data that records monitoring information such as plant measurement values or set values in chronological order is displayed as a trend graph on the operation monitoring screen. However, the operation of the plant status is monitored. In particular, when some control operation is performed on the plant, the current trend graph and the trend graph when good control results are obtained by performing the same operation in the past are displayed on the operation monitoring screen. It may be displayed together and compared.

When displaying the two trend graphs of the present and the past according to the operation monitoring screen, the case of drawing in each of the two display areas arranged in parallel on the same operation monitoring screen, and the case of drawing the two trend graphs in 1 It may be drawn overlaid on one display area. In either case, in order to draw the trend data in the display area, it is necessary to specify the start time of each of the two trend graphs.

Since these two start times are the drawing start positions of the trend graphs, if the times are not appropriate, the two trend graphs are displayed offset, making it difficult to compare these two trend graphs. To specify an appropriate time, the operator can display the trend graph once, then visually read the time, manually specify the time, redisplay the screen, and make fine adjustments to the time. It was necessary to perform complicated screen operations.

As a conventional technique for displaying two trend graphs side by side, for example, there is a technique described in Patent Document 1. The technique described in Patent Document 1 searches for a specified event from an event history database that records an event history such as an alarm occurrence, selects two times when the specified event occurs, and uses the two times as the basis. The trend data is acquired and drawn.

Japanese Unexamined Patent Publication No. 2003-29826

The trend data acquisition method shown in Patent Document 1 is to extract a trend related to a specific event such as an alarm occurrence, but after extracting the trend data, it is necessary to adjust the display range, the start time, and the like.

In addition, even if an alarm is generated, for example, an alarm may occur due to various factors, and the operator specifies an appropriate event in consideration of the cause of the alarm and selects the trend data to be compared. I had to search. Further, after searching the trend data to be compared, it is necessary to adjust the display range, the start time, etc. so that the two trend graphs can be compared.
In this way, with the conventionally proposed technology, even if the candidates for the trend data to be compared can be narrowed down to some extent, it is still necessary for the operator to adjust the display range and the start time, which imposes a burden on the operator. There was a problem that it was big.

An object of the present invention is to provide a plant operation monitoring system and a plant operation monitoring method capable of appropriately narrowing down trend data to be compared and determining a display range when displaying a plurality of trend data at the same time. To do.

In order to solve the above problems, for example, the configuration described in the claims is adopted.
The present application includes a plurality of means for solving the above problems. For example, an event for storing at least one event of controlled plant alarm information, state change information, and plant operation information in chronological order. Extract and extract event data related to the trend data saved in the trend database from the history database, the trend database that saves the trend data that is the time series of the plant data acquired by monitoring the plant, and the event history database. A screen for displaying a trend graph that compares two trend data by extracting two trend data from the trend data generator that adds the event data to the trend data and the trend data saved in the trend database. It has a generator.
Then, when extracting the two trend data, the screen generator narrows down to the event data common to the two trend data, and then adds the start time of each trend data to the event added to each trend data. It is characterized by generating a trend graph of a display form in which settings are made based on data and the display positions of the start times are matched.

According to the present invention, the operator can determine an appropriate start time of the trend data to be compared and display it on the operation monitoring screen simply by selecting the trend data to be compared, which greatly reduces the time and effort of the operator's operation. be able to.
Issues, configurations and effects other than those described above will be clarified by the description of the following embodiments.

It is a block diagram of the plant operation monitoring system according to the example of one Embodiment of this invention. It is a block diagram which shows the hardware of the computer apparatus applied to the plant operation monitoring system by the example of one Embodiment of this invention. It is a figure which shows the example of the trend data (FIG. 3A), event data (FIG. 3B), and plant composition information (FIG. 3C) by the example of one Embodiment of this invention. It is a figure which shows the screen example of the trend graph by one Embodiment of this invention. It is a figure which shows the screen example of the comparison target trend data selection screen by one Embodiment of this invention. It is a flowchart which shows the time axis alignment process at the time of generating the comparison screen by one Embodiment of this invention. It is a figure which shows the screen example of the trend graph at the time of comparison by one Embodiment of this invention, FIG. 7A shows the case of superimposition display, and FIG. 7B shows the case of two-stage display. It is a figure which shows the example of the change rate of two trend data by one Embodiment of this invention.

Hereinafter, an example of an embodiment of the present invention (hereinafter, referred to as “this example”) will be described with reference to the accompanying drawings.
[1. System-wide configuration]
FIG. 1 is a diagram showing an overall configuration of the plant operation monitoring system of this example.
In FIG. 1, the plant 1 is an industrial facility such as a water and sewage plant, a food factory, a chemical factory, and a power plant.
Data such as an operating status is acquired from the plant 1 by the plant input unit 11. Here, the data acquired by the plant input unit 11 is, for example, measured values such as temperature and flow rate measured by a sensor installed in the plant 1. In the following description, the data acquired by the plant input unit 11 will be referred to as "plant data". This plant data is stored in the plant database 12. The latest plant data is stored in the plant database 12.

Further, the plant input unit 11 acquires event data, which is information on an event that has occurred in the plant 1, from the plant 1. The data events acquired here are the alarm information and the state change information of the plant 1.
The event data acquired by the plant input unit 11 is stored in the event history database 13. At this time, the time when the event indicated by each information occurred is added to the alarm information generated in the plant 1 and the state change information of the plant 1, and the event history arranged in a time series is used as a new database. It is saved in the event history database 13. In this way, the process of creating a database for the event history is performed.

Further, the event history data stored in the event history database 13 also includes plant operation information input from the display unit 19 that displays the operation monitoring screen and the like. The display unit 19 will be described later. The plant operation information is also added with the time when the operation was performed, and is stored in the event history database 13 in chronological order.
While the plant 1 is in operation, the latest data is supplied to the plant database 12 and the event history database 13, and the latest data is accumulated in the plant database 12 and the event history database 13.

The trend data generation unit 14 performs a trend data generation process for generating trend data based on the plant data and the event history data stored in the plant database 12 and the event history database 13. The trend data has a tag number associated with the plant data, and the collection time is added to the data to be collected extracted from the plant data based on the tag number, and the event that occurred in the same facility as the data to be collected The event consistency number is obtained from the event history database and added.
The above-mentioned method for discriminating the same equipment will be described. The trend data generation unit 14 acquires the configuration information of the plant 1 from the plant configuration information storage unit 15. Then, the trend data generation unit 14 adds an equipment number indicating which component (equipment) of the plant 1 the trend data is to the generated trend data. By indexing the tag number of the trend data from the tag number to which the plant configuration information belongs, it is possible to determine which facility the trend data is related to. If the equipment number is the same, it is the trend data of the same equipment.

The trend data generated by the trend data generation unit 14 is stored in the trend database 16. Here, the operator takes out arbitrary trend data from the trend data accumulated in the trend database 16 by using the operation monitoring screen displayed on the display unit 19, and saves it in the trend data storage unit 17. Can be done. The trend data storage unit 17 stores the read trend data in an internal storage device such as a hard disk drive device (HDD device) or an external storage medium of various data recording disks (DVD or the like).

Then, the screen generation unit 18 creates a trend graph showing the state of the plant 1 in time series using the trend data stored in the trend database 16 or the trend data read by the trend data storage unit 17. The display unit 19 displays the trend graph created by the screen generation unit 18. This trend graph is displayed, for example, on a part of the operation monitoring screen.

An operation unit (not shown) that receives operation input from an operator who monitors the plant 1 is connected to the display unit 19, and the operation unit can perform operations on the operation monitoring screen and plant operations. .. The information regarding the operation on the operation monitoring screen input to the display unit 19 is supplied to the screen generation unit 18, and the operation is reflected in the display content of the operation monitoring screen generated by the screen generation unit 18.
Further, the information regarding the plant operation input to the display unit 19 is supplied to the plant output unit 20. The plant output unit 20 supplies plant operation information to the plant 1 and executes the operation indicated by the information. The information regarding the plant operation is also supplied to the event history database 13 and stored in the event history database 13.

When the screen generation unit 18 creates a trend graph, the two trend graphs may be displayed side by side. The details of the processing when these two trend graphs are displayed side by side will be described later in the flowchart of FIG.

[2. Hardware configuration example]
FIG. 2 shows a hardware configuration example of the computer device 900 that realizes the plant operation monitoring system shown in FIG.
The computer device 900 includes a CPU (Central Processing Unit) 901, a ROM (Read Only Memory) 902, and a RAM (Random Access Memory) 903, which are connected to the bus line 910, respectively. Further, the computer device 900 includes a non-volatile storage 904, a network interface 905, an input device 906, and a display device 907.

The CPU 901 reads the program code of the software that realizes each function of the plant operation monitoring system from the ROM 902 and executes it. Variables, parameters, etc. generated during the arithmetic processing are temporarily written in the RAM 903. For example, when the CPU 901 reads out the program stored in the ROM 902, a process of generating an operation monitoring screen including a trend graph and a process of collecting and storing plant data are performed.

As the non-volatile storage 904, for example, HDD (Hard disk drive), SSD (Solid State Drive), flexible disk, optical disk, optical magnetic disk, CD-ROM, CD-R, magnetic tape, non-volatile memory and the like are used. Be done. In this non-volatile storage 904, in addition to the OS (Operating System) and various parameters, a program for operating the computer device 900 as a plant operation monitoring system is recorded. In addition, various databases such as the trend database 16 are built in the non-volatile storage 904.

For the network interface 905, for example, a NIC (Network Interface Card) or the like is used, and various data can be transmitted / received via a LAN (Local Area Network) to which terminals are connected, a dedicated line, or the like. For example, data reception as the plant input unit 11 and data transmission as the plant output unit 20 are performed via the network interface 905.
The input device 906 is composed of a keyboard, a mouse, and the like, and accepts operations by the operator. The display device 907 functions as a display unit 19 for displaying the operation monitoring screen.

[3. Data structure example]
FIG. 3 shows trend data (FIG. 3A) stored in the trend database 16, event data (FIG. 3B) stored in the event history database 13, and plant configuration information (FIG. 3) stored in the plant configuration information storage unit 15. An example of 3C) is shown.

Trend data includes tag numbers, items, units, and equipment numbers, as shown in FIG. 3A. Each trend data is data in which the time, display value, and event consistency number are arranged in chronological order.
The event data includes an event consistency number, time, tag number, equipment number, event type, and message, as shown in FIG. 3B. The message is data that supplements the event indicated by the event data, for example. For example, when the event type is an alarm, a message indicates data indicating the cause of the alarm.
As shown in FIG. 3C, the plant configuration information has an equipment number, an equipment name, and affiliation tag numbers 1 to N (N is an arbitrary integer).

[4. Trend graph display example (independent display example)]
FIG. 4 shows an example of a trend graph displayed on the display unit 19. Here, an example of displaying one trend graph is shown, but in the example of displaying a plurality of trend graphs described later, the trend data shown by the trend graph shown in FIG. 4 is the original that is compared with other trend data. It becomes trend data (hereinafter referred to as "comparison source trend data").

As shown in FIG. 4, in the trend graph drawing area 21, the trend data read by the screen generation unit 18 from the trend database 16 or the trend data storage unit 17 is drawn and displayed as a trend graph. When the trend graph being displayed is a trend graph based on the trend data read from the trend database 16, the trend data being displayed is saved in the trend data storage unit 17 by the selection operation of the save button 22 on the screen. The trend.
Then, when there is a selection operation of the comparison button 23 on the screen, the screen generation unit 18 newly generates a selection screen for trend data to be compared (hereinafter referred to as "comparison trend data"), and selects the comparison trend data. The screen is displayed on the display unit 19.

[5. Display example of comparison trend data selection screen]
FIG. 5 shows a display example of the comparison trend data selection screen.
On the comparison trend data selection screen, a list of torrent data stored in the trend data storage unit 17 in the operation monitoring system is displayed in the storage trend data list display area 31. The operator selects any one of the comparison trend data from the list in the saved trend data list display area 31 from the list, and selects the execution button 33. As a result, the trend graph comparison screen display for comparing the comparison source trend data and the comparison trend data is performed.

The trend graph comparison screen display may be a case where two trend graphs are superimposed and displayed, or a case where two trend graphs are displayed in two stages. Either of them can be selected by selecting the display format radio button 32. One display format is instructed.

[6. Time axis alignment process when generating comparison screen]
When displaying the trend graph comparison screen, the screen generation unit 18 performs a process of aligning the time axes of the two displayed trend graphs.
The flowchart of FIG. 6 shows an example of the process of aligning the time axis of the trend graph. Here, the comparison source trend data and the comparison trend data will be described as trend data A and trend data B, respectively.

First, the screen generation unit 18 extracts the event data of the display section of the trend data A (step S10). The display section here is, for example, a section displayed in the trend graph drawing area 21 shown in FIG. 4, and all event data added in the display section is taken out. Next, the screen generation unit 18 extracts the event data of the entire section of the trend data B selected on the comparison trend data selection screen shown in FIG. 5 (step S11).
After that, the screen generation unit 18 compares the event data of the trend data A extracted in step S10 with the event data of the trend data B extracted in step S11, and extracts event data common to both data (step). S12). Here, the common event data is, for example, event data in which the event type constituting the event data and the message match.

Next, the screen generation unit 18 obtains the rate of change of the trend data between the extracted event occurrence times in the trend data A and the trend data B, respectively. Then, the screen generation unit 18 obtains the difference in the rate of change between the trend data A and the trend data B, and if the difference in the rate of change does not satisfy a predetermined condition, the event data is excluded by excluding the event. Narrow down (step S13).

Further, from the event data narrowed down in step S13, the event data having the highest priority of the event type and the oldest time is selected as the time for aligning the time axis of the trend graph according to the priority of the event type determined in advance. (Step S14). As the priority of the event type, for example, the occurrence of an alarm is set as the highest event type, and the occurrence of a specific operation or the detection of an event other than the alarm is set as the event type having a lower priority than the occurrence of the alarm.

Then, the screen generation unit 18 determines whether the display format selected by the radio button 32 on the comparison trend data selection screen shown in FIG. 5 is a superimposed display or a two-stage display (step S15). Here, when the selected display format is the superimposed display, the screen generation unit 18 generates a trend graph comparison screen of the superimposed display form and displays the trend graph comparison screen of the superimposed display form. It is displayed on the unit 19 (step S16).
If the display format selected in step S15 is a two-stage display, the screen generation unit 18 generates a trend graph comparison screen in the two-stage display form, and the two-stage display form is displayed. The trend graph comparison screen is displayed on the display unit 19 (step S17).

[7. Example of trend graph comparison screen]
FIG. 7 shows a display example of the trend graph comparison screen. FIG. 7A shows a trend graph comparison screen in the superimposed display form, and FIG. 7B shows a trend graph comparison screen in the two-stage display form.
In the case of the trend graph comparison screen of the superimposed display form shown in FIG. 7A, two trend graphs (trend data A and B) are superimposed and displayed in the superimposed trend graph drawing area 41.

The start time of the display section of these two trend graphs is the time when the event of the highest priority type occurs. Moreover, a section having a small difference in the rate of change of the two data is selected, and as shown in FIG. 7A, two trend graphs having similar trends are superimposed and displayed. A two-stage display button 42 is displayed in the trend graph comparison screen of the superimposed display form, and the selection operation of the two-stage display button 42 changes to the trend graph comparison screen of the two-stage display form.

In the case of the trend graph comparison screen of the two-stage display form shown in FIG. 7B, the upper trend graph drawing area 41a and the lower trend graph drawing area 41b are arranged in two upper and lower stages. Then, the trend graph of the trend data A is displayed in the upper trend graph drawing area 41a, and the trend graph of the trend data B is displayed in the lower trend graph drawing area 41b.
The setting of the start time of the display section of these two trend graphs is the same as the superimposed display mode shown in FIG. 7A. The overlay display button 43 is displayed in the trend graph comparison screen of the two-stage display form, and the trend graph comparison screen of the overlay display form is changed by the selection operation of the overlay display button 43.

[8. Example of setting the start time from the rate of change]
FIG. 8 shows an example of setting the start time when displaying each data on the trend graph comparison screen from the rate of change between the trend data A (comparison source trend data) and the trend data B (comparison trend data). ..
For example, the rate of change d1 (20%) of the trend data display value in the section between the event data A1 at the oldest time extracted from the trend data A and the time of the event data A2 at the next oldest time is obtained. Then, the rate of change d2 (21%) of the trend data display value between the event data B1 at the oldest time extracted from the trend data B and the time of the event data B2 at the next oldest time is obtained. Here, the event data A1 and the event data B1 are event data of the same type, and the event data A2 and the event data B2 are event data of the same type.

Then, the screen generation unit 18 obtains the difference between the rate of change d1 and the rate of change d2. For example, the threshold condition that there is a difference in the rate of change is set to 3%. Here, since the rate of change d1 is 20% and the rate of change d2 is 21%, the difference between the rate of change d1 and the rate of change d2 is 1% (within 3%), which satisfies the condition.

In this way, the rate of change between each event data A1, A2, A3, and A4 of the trend data A is obtained in order. Further, the rate of change between each event data B1, B2, B3, B4 of the trend data B is also obtained in order. In the example of FIG. 8, for example, the rate of change d3 between the event data A3 and the event data A4 is −1%, and the rate of change d4 between the event data B3 and the event data B4 is −10%. That is, the difference between the two rate of change d3 and d4 is 9%, which exceeds the threshold condition of 3%. Therefore, the screen generation unit 18 does not delete the event data A3 and the event data B3 from the extracted candidate event data, and does not select the occurrence time of the event data A3 and the event data B3 as the start time. By performing this processing, it is possible to narrow down the event data that causes the change in the trend data having the same tendency.

According to the plant operation monitoring system of this example described above, when displaying two trend graphs at the same time on the operation monitoring screen, the start time of the appropriate trend data is automatically set by simply selecting the trend data to be compared. You will be able to decide and display. Therefore, it is not necessary to adjust the start time by the operation of the operator, and the burden on the operator can be significantly reduced.
Further, by checking the rate of change between the events of the common event extracted from the comparison source trend data and the comparison trend data and narrowing down the events, the event data can be appropriately narrowed down. That is, only event data that is effective for extracting trend data having a similar tendency remains as a candidate, and when two trend graphs are displayed at the same time, event data having different tendencies is not selected.

[8. Modification example]
In the above-described embodiment, the start time of each trend graph when two trend graphs are displayed at the same time is matched with the event data. On the other hand, the event data may be used to match a reference position other than the head position, such as an intermediate position of the displayed trend graph. By doing so, it is possible to display the change from before the event occurred.

Further, in the above-described embodiment, the data events are three types of information: plant alarm information, state change information, and plant operation information. On the other hand, at least one type of event information may be stored, and a start time or a reference time when displaying a trend graph may be set from the event information.

Further, the present invention is not limited to the above-described embodiment, and includes various modifications. For example, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to those having all the described configurations. Further, it is possible to add / delete / replace a part of the configuration of the embodiment with another configuration.

Further, each of the above configurations, functions, processing units, processing means and the like may be realized by hardware by designing a part or all of them by, for example, an integrated circuit. Further, each of the above configurations, functions, and the like may be realized by software by the processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files that realize each function can be placed in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.
In addition, the control lines and information lines indicate those that are considered necessary for explanation, and do not necessarily indicate all the control lines and information lines in the product. In practice, it can be considered that almost all configurations are interconnected.

1 ... Plant, 10 ... Plant operation monitoring device, 11 ... Plant input unit, 12 ... Plant database, 13 ... Event history database, 14 ... Trend data generation unit, 15 ... Plant configuration information storage unit, 16 ... Trend database, 17 ... Trend data reading unit, 18 ... screen generation unit, 19 ... display unit, 21 ... trend graph drawing area, 22 ... save button, 23 ... comparison button, 31 ... saved trend data list display area, 32 ... radio button, 33 ... execution Button, 41 ... Overlaid trend graph drawing area, 41a ... Upper trend graph drawing area, 41b ... Lower trend graph drawing area, 42 ... Two-stage display button, 43 ... Overlaid display button, 900 ... Computer device, 901 ... Central processing unit (CPU), 902 ... ROM, 903 ... RAM, 904 ... non-volatile storage, 905 ... network interface, 906 ... input device, 907 ... display device, 910 ... bus

Claims (4)

An event history database that stores at least one event of controlled plant alarm information, state change information, and plant operation information in chronological order.
A trend database that stores trend data that is a time series of plant data acquired by monitoring the plant, and
A trend data generation unit that extracts event data related to the trend data stored in the trend database from the event history database and adds the extracted event data to the trend data.
It is provided with a screen generator for extracting two trend data from the trend data stored in the trend database and displaying a trend graph for comparing the two trend data.
When extracting the two trend data, the screen generator narrows down to the event data common to the two trend data, and then sets the start time of each trend data to the event data added to each trend data. A plant operation monitoring system that generates a trend graph with a display format that matches the display position of the start time by setting based on. Further, the rate of change of the section of the two extracted trend data separated by the time of occurrence of the event data is obtained, and if the difference between the obtained rate of change does not satisfy a predetermined condition, the event data is excluded. The plant operation monitoring system according to claim 1 , wherein the event data for determining the start time is narrowed down. The plant operation monitoring system according to any one of claims 1 to 2 , wherein when the start time of each of the two trend data is selected based on the event data, the start time is selected according to the priority of the event type set in advance. The process of creating an event history database that stores at least one event of the controlled plant's alarm information, state change information, and plant operation information in chronological order, and
The process of creating a trend database that saves trend data that is a time-series version of the plant data acquired by monitoring the plant, and
A trend data generation process that extracts event data related to the trend data stored in the trend database from the event history database and adds the extracted event data to the trend data.
Two trend data are extracted from the trend data stored in the trend database, a screen for displaying a trend graph comparing the two trend data is generated, and two trend data are generated when the screen is generated. When extracting, after narrowing down to the event data common to the two trend data, set the start time of each trend data based on the event data added to each trend data, and display the start time. A plant operation monitoring method that includes a trend graph display process that generates a trend graph in a display format that matches the position.

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