WO2024047694A1 - Operation assistance device, operation assistance system, and operation assistance method - Google Patents

Abstract

A purpose of the present disclosure is to provide an operation assistance device that makes it possible to present appropriate operation assistance information. An operation assistance device according to the present disclosure comprises: a time series data recording unit that records time series data that is collected from a plant; a feature amount calculation unit that calculates a feature amount from the time series data on the basis of a feature amount calculation logic; a retrieval unit that retrieves time series data that has the highest matching degree with a retrieval condition from the time series data; an operation assistance information creation unit that creates operation assistance information that assists with operation of the plant, on the basis of the retrieved time series data and a calculated feature amount that is associated with said time series data; and a feature amount imparting unit that associates the time series data with an additional feature amount that is input by an operator with respect to the time series data, and records the time series data in a feature amount-imparted time series data recording unit, wherein the operation assistance information creation unit creates the operation assistance information on the basis of the retrieved time series data, and the calculated feature amount and the additional feature amount that are associated with said time series data.

Description

Driving support device, driving support system, and driving support method

The present disclosure relates to an operation support device, an operation support system, and an operation support method that present operation information regarding the operation of plants such as water supply and sewage, electric power, chemical, steel, railway, and building air conditioning plants.

In the operation of large-scale plants such as water and sewage, electric power, chemical, steel, railway, and building air conditioning plants, operators estimate plant conditions based on process data collected by supervisory control equipment that monitors and controls the plant. Input the setting values so that the condition is optimal. Driving support devices are available to support the operator's decisions in such cases, and the driving support devices are equipped with functions such as various predictions, simulations, abnormality detection, and set value guidance. However, there are restrictions on the number and period of data that can be displayed on the screen of the supervisory control device or driving support device. Conventionally, when collecting information from a large number of measuring instruments installed in a large-scale plant, a method has been used to select and generate operation support information to be displayed on the screen of a monitoring control device or operation support device using an algorithm and present it to the operator. It has been disclosed (for example, see Patent Document 1).

Japanese Patent Application Publication No. 2004-310492

When an operator decides on a plant operation, in addition to the plant measurement values collected by the monitoring and control device, he also uses information not collected by the monitoring and control device. Here, the information not collected by the monitoring and control device includes, for example, expected seasonal and weather changes, events outside the plant that affect the plant, and plant maintenance information.

In the technology of Patent Document 1, the driving support information is selected and generated by an algorithm based on the quantized value of the measured values collected by the supervisory control device, and is presented to the operator. There was a problem in that appropriate operation support information was not presented when plant control decisions should be made using information that was not available. Another possible method is to input information that is not collected by the monitoring and control equipment but is used to make plant control decisions all at once into the time-series data recording unit, but it is possible that time has passed since the monitoring and control work was performed. Even if the operator attempts to input information necessary for making plant control decisions after the system has been used, there is a problem in that the operator's memory becomes vague and the correct information is not input.

The present disclosure has been made to solve such problems, and aims to provide a driving support device, a driving support system, and a driving support method that can present appropriate driving support information. do.

In order to solve the above problems, an operation support device according to the present disclosure includes a time-series data recording unit that records supervisory control data collected from the plant as time-series data by a supervisory control device that monitors the plant, and a time-series data recording unit that records supervisory control data collected from the plant as time-series data. A feature calculation logic recording unit that records feature calculation logic for calculating feature quantities, and a feature that calculates feature quantities from time-series data based on the feature calculation logic recorded in the feature calculation logic recording unit. A quantity calculation unit, a time-series data recording unit that records time-series data and calculated feature quantities, which are the feature quantities computed by the feature quantity calculation unit, in association with each other, and a search unit that divides the time series data recorded in the feature-added time series data recording unit based on the feature value, and searches the divided time series data for time series data that has the highest degree of matching with the search condition; An operation support information creation unit that creates operation support information to support plant operation based on the time series data searched by the user and the calculated feature values associated with the time series data; The driving support information creation unit includes a feature value adding unit that records additional feature values, which are additional feature values input by the operator, in a feature value added time series data recording unit in association with time series data. Driving support information is created based on the time series data searched by the section, and the calculated feature amount and additional feature amount associated with the time series data.

According to the present disclosure, it is possible to present appropriate driving support information.

Objects, features, aspects, and advantages of the present disclosure will become more apparent from the following detailed description and accompanying drawings.

1 is a block diagram showing an example of a configuration of a driving support device according to a first embodiment; FIG. 1 is a block diagram showing an example of a configuration of a driving support device according to a first embodiment; FIG. 3 is a flowchart illustrating an example of the operation of the driving support device according to the first embodiment. 5 is a flowchart illustrating an example of the operation of the driving support device according to the first embodiment. FIG. 2 is a schematic diagram of a feature amount calculation logic recording unit according to the first embodiment. FIG. 3 is a diagram showing an example of a screen displayed on the input/output device according to the first embodiment. FIG. 3 is a diagram for explaining an operation of searching for driving support information according to the first embodiment. FIG. 3 is a diagram showing an example of a screen displayed on the input/output device according to the first embodiment. FIG. 3 is a diagram for explaining the operation of the feature value adding section according to the first embodiment. FIG. 3 is a diagram showing an example of a screen displayed on the input/output device according to the first embodiment. FIG. 3 is a diagram showing an example of a screen displayed on the input/output device according to the first embodiment. FIG. 3 is a diagram showing an example of a screen displayed on the input/output device according to the first embodiment. FIG. 2 is a block diagram showing an example of the configuration of a driving support device according to a second embodiment. 7 is a flowchart illustrating an example of the operation of the driving support device according to the second embodiment. 7 is a flowchart illustrating an example of the operation of the driving support device according to the second embodiment. FIG. 3 is a schematic diagram of a search logic recording unit according to a second embodiment. FIG. 7 is a schematic diagram of a schedule stored in a scheduling unit according to the second embodiment. FIG. 3 is a block diagram illustrating an example of the configuration of a driving support device according to a third embodiment. 7 is a flowchart illustrating an example of the operation of the driving support device according to Embodiment 3. 12 is a diagram showing an example of a screen displayed on an input/output device according to Embodiment 3. FIG. 12 is a diagram showing an example of a screen displayed on an input/output device according to Embodiment 3. FIG. FIG. 12 is a diagram for explaining an operation of adding a simulation and its evaluation to a time-series data recording unit to which feature amounts and evaluation values have been assigned according to the third embodiment; FIG. 7 is a block diagram showing an example of the configuration of a driving support device according to a fourth embodiment. FIG. 7 is a block diagram showing an example of the configuration of a driving support device according to a fifth embodiment. 12 is a diagram showing an example of a screen displayed on an input/output device according to Embodiment 5. FIG. FIG. 7 is a schematic diagram of a time-series data recording unit according to Embodiment 5. FIG. FIG. 7 is a block diagram showing an example of the configuration of a driving support device according to a sixth embodiment. 12 is a diagram showing an example of a screen displayed on an input/output device according to Embodiment 6. FIG. FIG. 7 is a schematic diagram of a search time series group ID recording unit according to Embodiment 6; FIG. 12 is a schematic diagram of a frequency probability recording unit according to Embodiment 6; 12 is a flowchart illustrating an example of the operation of the driving support device according to the sixth embodiment. 12 is a flowchart illustrating an example of the operation of the driving support device according to the sixth embodiment. 12 is a flowchart illustrating an example of the operation of the driving support device according to the sixth embodiment. FIG. 7 is a block diagram showing an example of the configuration of a driving support device according to a seventh embodiment. 1 is a block diagram showing an example of a hardware configuration of a driving support device according to Embodiments 1 to 7. FIG. 1 is a block diagram showing an example of a hardware configuration of a driving support device according to Embodiments 1 to 7. FIG. 1 is a block diagram showing an example of a configuration of a driving support system according to Embodiments 1 to 7. FIG.

<Embodiment 1>
<Configuration>
FIG. 1 is a block diagram showing an example of the configuration of a driving support device according to the first embodiment. The driving support device shown in FIG. 1 shows the minimum necessary configuration of the driving support device according to the present disclosure.

FIG. 2 is a block diagram showing an example of the configuration of a driving support device according to another configuration including the driving support device shown in FIG. 1. The driving support device shown in FIG. It includes a data recording section 201, a feature amount calculation logic recording section 202, and a feature amount added time series data recording section 203. The present disclosure is characterized in that the driving support device includes a feature amount adding unit 104.

The supervisory control device 105 collects supervisory control data including measurement information output from measuring instruments installed in the plant and control input information input by an operator, and converts the collected supervisory control data into time series data. It is recorded in the recording unit 201. Additionally, the supervisory control device 105 transmits control input information input by the operator to each piece of equipment making up the plant.

The feature amount calculation logic recording unit 202 records feature amount calculation logic for calculating feature amounts from the time series data recorded in the time series data recording unit 201.

The feature quantity calculation unit 101 calculates feature quantities from the time series data recorded in the time series data recording unit 201 based on the feature quantity calculation logic recorded in the feature quantity calculation logic recording unit 202.

The feature value added time series data recording unit 203 stores the time series data recorded in the time series data recording unit 201, the feature values calculated by the feature value calculation unit 101, and the features input from the feature value adding unit 104. Record it in association with the amount.

The search unit 102 classifies the time-series data recorded in the feature-added time-series data recording unit 203 based on search conditions input by the operator via the input/output device 106. Then, the search unit 102 identifies time-series data that highly matches the search condition from among the divided time-series data. The time series data (search results) specified by the search unit 102 may be recorded in a recording unit (not shown).

The driving support information creation unit 103 creates driving support information based on the search results of the search unit 102. Specifically, the driving support information creation unit 103 creates driving support information based on the time series data searched by the search unit 102 and the calculated feature amount and additional feature amount associated with the time series data. .

The input/output device 106 (input/output unit) displays the driving support information created by the driving support information creation unit 103. The input/output device 106 also receives input of search conditions or additional input of feature amounts by the operator.

The feature value adding unit 104 records information on the feature values input by the operator in the feature value added time series data recording unit 203.

<Operations from acquiring supervisory control data to displaying driving support information>
FIG. 3 is a flowchart showing the operation of the driving support device from acquiring supervisory control data to displaying driving support information.

In step S11, the supervisory control device 105 records the collected supervisory control data in the time-series data recording unit 201 as time-series data.

In step S12, the feature quantity calculation unit 101 calculates the feature quantity from the time series data recorded in the time series data recording unit 201 according to the feature quantity calculation logic recorded in the feature quantity calculation logic recording unit 202. Record feature values in association with time series data.

In step S13, the input/output device 106 receives search conditions input by the operator.

In step S14, the search unit 102 searches the data recorded in the feature amount added time series data recording unit 203 according to the search conditions input by the operator.

In step S15, the driving support information creation unit 103 creates driving support information based on the search results of the search unit 102. The input/output device 106 then displays the driving support information created by the driving support information creation unit 103.

<Operation to record feature values additionally input by the operator>
FIG. 4 is a flowchart showing the operation of recording feature quantities additionally inputted by the operator in the feature quantity assigned time series data recording unit 203.

In step S21, the input/output device 106 displays driving support information.

In step S22, the input/output device 106 receives the time series name and each time value of the time series data input by the operator.

In step S23, the feature amount adding unit 104 adds an additional feature amount to the time series data based on the information input by the operator, and records it in the feature amount added time series data recording unit 203.

<Functions of feature value calculation logic recording unit 202>
FIG. 5 is a schematic diagram of the feature amount calculation logic recording unit 202. The feature amount calculation logic recording unit 202 includes a feature amount time series name 301, a feature amount time series unit 302, a feature amount type 303 used for calculation, an original time series 304, an original time series unit 305, and a feature amount type 306. , and a calculation formula 307.

For example, "feature amount 1" is to perform "integration (10 hours)" processing recorded as the feature amount type 303 used for calculation on "measurement value 1" recorded as the original time series 304. It is calculated by Specifically, "integral (10 hours)" is specified as a key from the feature quantity type 306, and "integral (10 hours)" is calculated using the formula corresponding to "integral (10 hours)" in the calculation formula 307. Process. In the arithmetic processing, the unit 305 of the original time series and the unit 302 of the feature amount time series are used, and unit conversion processing is performed as necessary.

<Screen of input/output device 106 when searching driving support information>
FIG. 6 is a diagram showing an example of the screen of the input/output device 106 when searching for driving support information. The screen for searching driving support information includes a search condition input 400, a search result list 410, a time series data selection 420, a trend graph 430, a search button 440, and an add feature button 450.

In search condition input 400, the operator inputs search conditions 405, 406, 407 as time series name 401, and specifies search type 402, target time 403, and condition 404 for each input search condition 405, 406, 407. .

The search condition 405 "time zone" is required to be input, and the condition 404 is the start time and end time. The start time can be input in the range 0:00 to 23:59, and the end time can be input any time after the start time. When the end time exceeds 24:00, it means the next day or later, the quotient when divided by 24:00 represents the number of elapsed days, and the remainder when divided by 24:00 represents the time.

Time series names other than time zones 401 (that is, search conditions other than time zones) include period, year, month, day, year/month, month/day, day of the week, weekday or holiday, measured value time series, and feature amount time. There are several series, and the operator selects an arbitrary search condition from these.

A search result list 410 that simultaneously satisfies each search condition input by the operator is output. For example, in the search condition 405, “time zone” is selected as the time series name 401, and “14:00 to 23:59” is selected as the condition 404. Furthermore, in the search condition 406, "feature amount 1" is selected as the time series name 401, "numeric exact match" is selected as the search type 402, "23:59" is selected as the target time 403, and "40000~" is selected as the condition 404. . Furthermore, in the search condition 407, "measured value 2" is selected as the time series name 401, "numerical similarity" is selected as the search type 402, "14:00" is selected as the target time 403, and "3.5" is selected as the condition 404. . When the search button 440 is pressed with the search conditions 405, 406, 407 entered in this way, the search unit 102 searches the data that simultaneously satisfies the search conditions 405, 406, 407 in the time series data recording unit with added features. Search from 203.

When "numerical similarity" is selected as the search type 402, search results are output in a ranking format in descending order of degree of match with the input search condition. As other search types 402, "character string complete match", "character string partial match", "character string beginning match", and "character string trailing match" can be selected.

Indices used when calculating the degree of match with the condition 404 at the target time 403 of a single or multiple time series for which "numerical similarity" is selected as the search type 402 include cosine similarity, Pearson's correlation coefficient, Deviation pattern similarity, Euclidean distance, scaled Euclidean distance, Manhattan distance, Minkowski distance, Chebyshev distance, and Mahalanobis distance can be used. When similarity and correlation coefficient are used as indicators, data with high similarity and correlation coefficient is determined to be data with high matching. Furthermore, when distance is used as an index, data with a close distance is determined to be data with a high degree of matching.

In the search result list 410, summary information is displayed in the form of a ranking 412 in descending order of the degree of match with the search conditions 405, 406, and 407. The summary information includes information regarding the date and time and the time series name input as the search condition. As a search condition, if a search is related to a time series name in which a target time is entered, the value of the target time is displayed, if a search is related to a day of the week, the day of the week is displayed, if a search is related to a weekday or holiday, the matching string is displayed. .

In the example of FIG. 6, the search result 413 displays the date and time of the search result, the search result 414 displays the value of "feature value 1 at 23:59", and the search result 415 displays "measurement value 2 at 14:00". The value of is displayed. The trend graph 430 displays time series data selected from the time series data selection 420 in the period selected from the selection 411 of the search result list 410.

<Operation in which the search unit 102 searches for driving support information>
FIG. 7 is a diagram for explaining an operation in which the search unit 102 searches for driving support information, and is a schematic diagram of the time-series data recording unit 203 with added features. Here, the search operation when the operator inputs search conditions 405, 406, and 407 shown in FIG. 6 will be described.

First, since "14:00 to 23:59" is selected as the time period of the search condition 405, the time series data (date and time column 500) recorded in the feature value added time series data recording unit 203 is Each day is divided into "14:00-23:59".

Next, in the search condition 406, "Feature 1" is selected as the time series name 401, "Numeric exact match" is selected as the search type 402, "23:59" is selected as the target time 403, and "40000~" is selected as the condition 404. Therefore, among the divided time series data, the data "40000~" at "23:59" of "feature amount 1" remains as a search result candidate. For example, the values of "feature quantity 1" of "23:59" in the time series data of sections 501 and 02 are "42400" and "58734", respectively, and satisfy the condition 404 "40000 ~", so the search is performed. It remains as a candidate for the result.

Finally, in the search condition 407, "Measurement value 2" is selected as the time series name 401, "Numeric similarity" is selected as the search type 402, "14:00" is selected as the target time 403, and "3.5" is selected as the condition 404. Therefore, among the divided time series data, data having a value similar to "3.5" for "measurement value 2" is determined to have a higher degree of matching with the search condition. For example, the value of "measurement value 2" at "14:00" in the time series data of section 501 is "3.55", and the value of "measurement value 2" at "14:00" of the time series data of section 502 is "3.55". When compared with the value "3.47", "3.47" is more similar to "3.5". Therefore, it is determined that the time series data in section 502 matches the search condition more closely than the time series data in section 501.

<Operations when the operator adds features to time series data>
FIG. 8 is a diagram showing an example of a screen displayed on the input/output device 106 when an operator adds feature amounts to time series data.

When the operator presses the feature quantity addition button 450, a selection window 451 for selecting a feature quantity addition method is displayed. When the operator selects "trend" in the selection window 451, a period selection bar 431 is displayed on the trend graph 430, and a period can be selected. When the operator selects a period, the feature name 432 and its value 433 to be given to the selected period can be input. In the example of FIG. 8, “2020/8/11 16:00 to 20:00” is input as the selection period, “event 1” is input as the feature name 432, and “type A” is input as the value 433.

FIG. 9 is a diagram for explaining the operation in which the feature value adding unit 104 records the feature value in the feature value added time series data recording unit 203 when the operator performs an operation to add a feature value to time series data. FIG. 2 is a schematic diagram of a time-series data recording unit 203 with feature amounts added.

For example, as shown in FIG. 8, the operator inputs "2020/8/11 16:00-20:00" as the selection period, "Event 1" as the feature name 432, and "Type A" as the value 433. If "Event 1" is not registered in the time-series data recording unit 203 with features added, "Event 1" is additionally registered in the last column 530 of the time-series data recording unit 203 with features added. be done. Then, "Type A" is registered in the cell corresponding to "2020/8/11 16:00-20:00" in the "Event 1" column. In addition, if "Event 1" is already registered, "Type A" should be additionally registered in the cell corresponding to "2020/8/11 16:00-20:00", or another value is already registered. If so, you can overwrite it and register it.

FIG. 10 is a diagram showing an example of a screen displayed on the input/output device 106 when performing a search using feature amounts assigned by an operator as search conditions.

As shown in FIG. 9, "Event 1" is registered as the time series name and "Type A" is registered as the value in the feature amount assigned time series data recording unit 203. Therefore, in the search condition 408 in FIG. 10, the time series name is It is possible to select "Event 1", "Character string complete match" as the search type, and "Type A" as the condition.

If the operator specifies search condition 408 in addition to search conditions 405, 406, and 407, the data for “2020/8/11 16:00 to 23:59” that simultaneously satisfies search conditions 405, 406, 407, and 408 will be searched. Displayed in the results list.

FIG. 11 is a diagram showing an example of a screen displayed on the input/output device 106 when "search results" is selected as the feature amount addition method.

When the operator selects "Search Results" from the selection window 451, the time series name and value can be specified in the search result list. The selection period is the date and time corresponding to the cell in which the value was input.

In the example in Figure 11, "Event 2" is entered as the time series name, "Type B" is entered as the value, and the date and time corresponds to the cell in which "Type B" was entered (the cell in which "Type B" was entered). on the same line) becomes "2020/8/11 14:00-23:59".

The operation in which the feature value adding unit 104 records the feature value in the feature value added time series data recording unit 203 is the same as the operation in which the feature value is recorded when “trend” is selected from the selection window 451 in the example of FIG. It is.

FIG. 12 is a diagram showing an example of a screen displayed on the input/output device 106 when "calendar" is selected as the feature amount addition method.

When the operator selects "Calendar" from the selection window 451, a calendar 460 is displayed. In the calendar 460, the period unit selection button 461 can switch the unit of the display period of the calendar 460 to week, month, or year. The < button 462 can return the display period of the calendar 460. > button 463 can advance the display period of calendar 460. Today button 464 can change the display period so that today's date is displayed.

The period selection bar 465 allows you to select any period. When a period is selected using the period selection bar 465, a feature name 466 and a value 467 to be given to the selected period can be input. In the example of FIG. 12, "2020/7/28 0:00 to 2020/8/24 0:00" is selected as the selection period, "Event 3" is set as the feature name 466, and "Type X" is set as the value 467. It has been entered.

<Effect>
The driving support device according to the first embodiment includes a feature amount adding section 104. The feature value adding unit 104 records the feature values input by the operator in the feature value added time series data recording unit 203 in association with time series data. This makes it possible to present the operator with appropriate operation support information that takes into account "information that is not collected by the supervisory control device 105 but is necessary for making plant control decisions."

<Embodiment 2>
In the first embodiment, a method has been described in which the operator inputs information not collected by the monitoring and control device while referring to the driving support information, and immediately searches for and displays appropriate driving support information. In the method described in Embodiment 1, new driving support information is displayed only when the operator inputs search conditions, but new driving support information is not displayed when the operator does not input search conditions. Embodiment 2 was created to solve this problem, and details thereof will be explained below.

<Configuration>
FIG. 13 is a block diagram showing an example of the configuration of a driving support device according to the second embodiment.

As shown in FIG. 13, the driving support device according to the second embodiment further includes a scheduling unit 107, an updating unit 108, and a search logic recording unit 204 in addition to the driving support device according to the first embodiment (see FIG. 2). It is characterized by being prepared.

The scheduling unit 107 specifies a schedule for the search unit 102 to perform the search. The schedule is recorded in the scheduling section 107. The search logic recording unit 204 records search logic for the search unit 102 to search. The updating unit 108 updates the feature calculation logic recorded in the feature calculation logic recording unit 202, the schedule specified by the scheduling unit 107, and the search logic recording unit 204 according to instructions input by the operator via the input/output device 106. Update the search logic recorded in .

<Operations from acquiring supervisory control data to displaying driving support information>
FIGS. 14 and 15 are flowcharts showing operations from when the driving support device acquires monitoring control data until displaying driving support information. Note that steps S31, S32, and S34 in FIG. 14 are the same processes as steps S11, S12, and S15 in FIG. 3, so the description thereof will be omitted here. Below, steps S33 and S35 in FIG. 14 and step S36 in FIG. 15 will be explained.

In step S33, the search unit 102 searches the data in the feature-added time series data recording unit 203 according to the schedule specified by the scheduling unit 107 and according to the search logic recorded in the search logic recording unit 204.

In step S35, the input/output device 106 determines whether the operator has determined that the information intended by the operator has been displayed on the input/output device 106 at the timing intended by the operator. If it is determined that the information intended by the operator has been displayed at the timing intended, the operation in FIG. 14 ends. On the other hand, if it is determined that the information intended by the operator is not displayed at the timing intended, the process moves to step S36 in FIG. 15.

In step S36, the operator uses the input/output device to update the feature calculation logic, schedule, and search logic so that the information intended by the operator is displayed at the timing the operator intends, and performs feature calculation on each of them. It is recorded in the logic recording section, scheduling section, and search logic recording section.

<Function of search logic recording unit 204>
FIG. 16 is a schematic diagram of the search logic recording unit 204. The search logic recording unit 204 includes a search logic ID 600 and search conditions 610. The search conditions 610 include, for example, “search conditions 1 to 5”. “Search condition 1” includes a time series name 611, a search type 612, a target time 613, a first condition 614, and a second condition 615. “Search condition 2” includes a time series name 616, a search type 617, a target time 618, a first condition 619, and a second condition 620.

For example, in the search logic ID 600 "SL1", for "search condition 1", the time series name 611 is "time zone", the first condition 614 is "same time as search", and the second condition 615 is "10 hours of search". "later time" is specified. “Same time as search” is the time when “SL1” with search logic ID 600 was executed according to the schedule by the scheduling unit 107. For example, if it was executed at 5:00 on January 6, 2021, 5:00 is specified. be done. The "time 10 hours after the search" is specified as 15:00, which is the time 10 hours after 5:00.

Regarding "Search condition 2", the time series name 616 is "Feature amount 1", the search type 617 is "Numeric exact match", the target time 618 is "Time 10 hours after the search", and the first condition 619 is " 40000" is specified. The second condition 620 is not specified. Note that when "numerical complete match" is specified as the search type, the lower limit value is specified as the first condition, and the upper limit value is specified as the second condition. In "SL1" of the search logic ID 600, "40000" is specified as the lower limit value in the first condition 619, so a value of "40000~" is selected as the search result.

Furthermore, for "Search condition 3", "Measurement value 2" is specified as the time series name, "Numeric similarity" is specified as the search type, "Same time as search" is specified as the target time, and "3.5" is specified as the first condition. . If "numerical similarity" is specified as the search type, the second condition cannot be specified.

<Functions of scheduling section 107>
FIG. 17 is a schematic diagram of the schedule stored in the scheduling section 107. The schedule includes a search logic ID 701, a start date and time 702, an end date and time 703, and a cycle 704.

For example, the search logic ID 701 "SL1" has a regular cycle from the start date and time 702 of "2021/1/1 0:00" to the period 704 of "60 minutes", and the end date and time 703 of "2030/12/ 31 23:59" is repeatedly executed.

The update unit 108 updates the schedule, feature calculation logic, and search logic according to operator operations input via the input/output device 106. When updating the schedule, the schedule recorded in the scheduling unit 107 is updated. When updating the feature amount calculation logic, the feature amount calculation logic recorded in the feature amount calculation logic recording unit 202 is updated. When updating the search logic, the search logic recorded in the search logic recording unit 204 is updated.

<Effect>
The driving support device according to the second embodiment includes a scheduling section 107 and a search logic recording section 204. The search unit 102 searches the data in the feature value added time series data recording unit 203 according to the schedule recorded in the scheduling unit 107 and the search logic recorded in the search logic recording unit 204 . Thereby, new driving support information can be automatically presented to the operator.

Further, the driving support device according to the second embodiment includes an update unit 108. The update unit 108 updates the schedule, feature calculation logic, and search logic according to operator operations input via the input/output device 106. Thereby, the driving support information intended by the operator can be presented at the timing intended by the operator.

<Embodiment 3>
In the first embodiment, a method has been described in which the operator inputs information not collected by the monitoring and control device while referring to the driving support information, and immediately searches for and displays appropriate driving support information. In the method described in Embodiment 1, the past plant operation history collected by the supervisory control device is displayed as a search result, but an operation method that is not included in the past plant operation history is not displayed as a search result. Embodiment 3 has been developed to solve this problem, and the details thereof will be explained below.

<Configuration>
FIG. 18 is a block diagram showing an example of the configuration of a driving support device according to the third embodiment.

As shown in FIG. 18, the driving support device according to the third embodiment has a time series data editing unit 109, a simulation execution unit 110, and an evaluation value calculation unit, in contrast to the driving support device according to the first embodiment (see FIG. 2). 111 , and a feature amount and evaluation value added time series data recording unit 205 in place of the feature value added time series data recording unit 203 .

The time series data editing unit 109 edits time series data according to instructions input by the operator via the input/output device 106. The simulation execution unit 110 simulates the behavior of the plant based on the time series data edited by the time series data editing unit 109. The evaluation value calculation unit 111 evaluates the behavior of the plant simulated by the simulation execution unit 110. The feature quantity and evaluation value added time series data recording unit 205 records the simulation results by the simulation execution unit 110 and the evaluation results by the evaluation value calculation unit 111 in association with each other.

<Operations from editing time series data to evaluating and recording simulation results>
FIG. 19 is a flowchart showing the operation of the driving support device from editing time series data to evaluating and recording simulation results.

In step S41, the driving support information creation unit 103 creates driving support information based on the data recorded in the feature amount and evaluation value added time series data recording unit 205. The input/output device 106 then displays driving support information.

In step S42, the operator uses the input/output device 106 to edit the time-series data related to past plant operations displayed on the input/output device 106 and some values of the time-series data generated by the simulation execution unit 110. do.

In step S43, the simulation execution unit 110 executes a simulation based on the time series data edited by the time series data editing unit 109.

In step S44, the evaluation value calculation unit 111 evaluates the simulation results.

In step S45, the evaluated simulation results are recorded in the feature amount and evaluation value added time series data recording unit 205, and added to the search target in the subsequent search process.

<Editing time series data>
FIG. 20 is a diagram showing an example of a screen displayed on the input/output device 106 when the time-series data editing unit 109 edits time-series data according to instructions input by the operator via the input/output device 106. .

After pressing the simulation input creation button 801, the operator selects the value of the time series data to be edited in the trend graph 802. For example, time series data 803 of "measurement value 1" is selected, and simulation time series data 804 of "measurement value 1" is created by GUI (Graphical User Interface) operation. Then, when the simulation execution button 805 is pressed, the simulation execution unit 110 executes the simulation.

The simulation execution unit 110 executes the simulation using the edited time series data when the measurement value has been edited, and using the time series data of the measurement value before editing when the measurement value has not been edited.

<Simulation execution results and evaluation values>
FIG. 21 is a diagram showing an example of displaying the simulation execution result by the simulation execution unit 110 and the evaluation value calculated by the evaluation value calculation unit 111 on the screen of the input/output device 106.

The evaluation result list 900 is composed of selections 901, dates and times 902, scenarios 903, and evaluation values 904. The trend graph 910 displays measured values and simulation results for each scenario 903.

The operator checks the trend graph 910 and the evaluation values, and selects a scenario to be added to the search target using the selection 901. In the example of FIG. 21, "Simulation 1" which is the scenario 903 is selected, and when the Add to Search Objects button 905 is pressed, "Simulation 1" is added to the search objects.

FIG. 22 is a schematic diagram of the time-series data recording unit 205 with feature amounts and evaluation values added. The measured value is recorded in the column of measurement value 1001, the evaluation value of the measurement value is recorded in the column of evaluation value 1002, the measurement value of "Simulation 1" is recorded in the column of simulation measurement value 1003, and the evaluation value of the measurement value is recorded in the column of simulation measurement value 1003. The evaluation values of the measured values are recorded in the column of simulation evaluation values 1004. If the number of simulation scenarios increases, they will be added to the last column.

The respective evaluation values for the measured values and simulation measured values are recorded at the final time of the period in which the simulation and evaluation are performed. For example, the evaluation value of the measurement value is recorded in cell 1005. Furthermore, the evaluation value of the measurement value of "Simulation 1" is recorded in the cell 1006.

<Effect>
The driving support device according to the third embodiment includes a time series data editing section 109, a simulation execution section 110, an evaluation value calculation section 111, and a time series data recording section 205 with feature amounts and evaluation values added. The time series data editing unit 109 edits time series data according to instructions input by the operator via the input/output device 106. The simulation execution unit 110 executes a simulation based on the time series data edited by the time series data editing unit 109. The evaluation value calculation unit 111 evaluates the results of the simulation executed by the simulation execution unit 110. The feature quantity and evaluation value added time series data recording unit 205 records the simulation results by the simulation execution unit 110 and the evaluation results by the evaluation value calculation unit 111 in association with each other. Thereby, an operating method that is not found in the past operation history of the plant can be displayed as a search result.

<Embodiment 4>
In the second embodiment, a method has been described in which new driving support information is automatically displayed by executing the search logic recorded in the search logic recording unit according to the schedule recorded in the scheduling unit. In the method described in Embodiment 2, the past plant operation history collected by the supervisory control device is displayed as a search result, but the operation method that is not included in the past plant operation history is not displayed as a search result. Embodiment 4 is designed to solve this problem.

FIG. 23 is a block diagram showing an example of the configuration of a driving support device according to Embodiment 4.

As shown in FIG. 23, the driving support device according to the fourth embodiment has a time series data editing unit 109, a simulation execution unit 110, and an evaluation value calculation unit, in contrast to the driving support device according to the second embodiment (see FIG. 13). 111 , and a feature amount and evaluation value added time series data recording unit 205 in place of the feature value added time series data recording unit 203 . That is, the configuration and operation of the driving support device according to Embodiment 4 is a combination of the driving support device according to Embodiment 2 (see FIG. 13) and the driving support device according to Embodiment 3 (see FIG. 18). be.

According to the fourth embodiment, new operation support information is automatically presented to the operator, the operation support information intended by the operator is presented at the timing the operator intends, and an operation method not found in the past operation history of the plant is searched. It can be displayed as a result.

<Embodiment 5>
In the first embodiment, a method has been described in which the operator inputs information not collected by the monitoring and control device while referring to the driving support information, and immediately searches for and displays appropriate driving support information. In the method described in Embodiment 1, although it is possible to narrow down and display the period of data recorded as a search result, there is a problem in that it is not possible to narrow down and display the time series name. Embodiment 5 is designed to solve this problem.

FIG. 24 is a block diagram showing an example of the configuration of a driving support device according to Embodiment 5.

As shown in FIG. 24, the driving support device according to the fifth embodiment is different from the driving support device according to the first embodiment (see FIG. 2) in that it further includes a time-series data group recording unit 206. The time series data group recording unit 206 records time series data for each group.

FIG. 25 is a diagram showing an example of a screen displayed on the input/output device 106. The time series data selection 1100 is provided with a time series data group selection 1101. When an arbitrary group is selected from the time series data group selection 1101, time series data 1102 forming the selected group is displayed.

FIG. 26 is a schematic diagram of the time-series data group recording unit 206. The time series data group recording unit 206 records, for each group ID 1201, the time series names 1202 that constitute the group.

The driving support device according to the fifth embodiment includes a time-series data group recording section 206. Thereby, it is possible to narrow down and display the number of time series data forming the driving support information.

<Embodiment 6>
Embodiment 5 describes a method in which an operator inputs information not collected by the monitoring and control device while referring to driving support information, and immediately searches for and displays appropriate driving support information by specifying the period and time series name. We explained how to filter and display results. The method described in Embodiment 5 has the problem that it is time-consuming because it is necessary to define groups of time-series data in advance and record them in the time-series data group recording unit 206. Embodiment 6 is designed to solve this problem.

<Configuration>
FIG. 27 is a block diagram showing an example of the configuration of a driving support device according to Embodiment 6.

As shown in FIG. 27, the driving support device according to the sixth embodiment has a search time series group ID recording unit 207, a frequency probability recording unit 208, and It further includes a time series data group estimation section 112.

FIG. 28 is a diagram showing an example of a screen displayed on the input/output device 106. When a search condition 1321 that is a combination of arbitrary measurement values and feature amounts is input in the search condition input 1320 and a search is performed, a time series data combination 1301 to be displayed on the trend graph 1310 is selected in the time series data selection 1300.

FIG. 29 is a schematic diagram of the search time series group ID recording unit 207. The search time series group ID recording unit 207 includes a search time series group ID 1401 and a search time series 1402.

In the search time series 1402, a combination (search condition 1321) of a measurement value and a feature quantity input as a time series name in the search condition input 1320 of FIG. 28 is recorded. A unique ID is assigned to the search time series group ID 1401 each time a new combination of time series names is input as the search condition 1321 when the search button 1322 in FIG. 28 is pressed to execute a search. Ru.

FIG. 30 is a schematic diagram of the frequency probability recording unit 208. The frequency probability recording unit 208 has a table of display frequencies and display probabilities for each search time series group ID. The example in FIG. 30 shows a table with the search time series group ID "ST1". The table shown in FIG. 30 is a table that has time series names recorded in the feature value added time series data recording unit 203 as items in each row and column.

For example, regarding "measurement value 2" and "measurement value 1," the number of times "measurement value 1" was selected for display when "measurement value 2" was selected for display (selected in time series data selection 1300 in FIG. 28) 1501 and a conditional probability 1502 that "measurement value 1" is selected for display when "measurement value 2" is selected for display are recorded. The number of times 1501 is obtained from "f (measured value 1 | measured value 2)", and the conditional probability 1502 is obtained from "p (measured value 1 | measured value 2)".

The time series data group estimating unit 112 refers to the search time series 1402 in the search time series group ID recording unit 207 and searches for a matching search time series group ID 1401 every time a search condition is input and a search is executed. . If there is no matching search time series group ID, the search time series group associated with the search condition will not be selected because this is the first input. On the other hand, if there is a matching search time series group ID, refer to the cell in which the display probability conditional on each time series data of the set of search time series 1402 is recorded, and check the conditional probability that the display probability exceeds the predetermined threshold. A set of time-series data recorded in a cell with a time-series data group is recorded in the time-series data group ID recording unit 206 as a time-series data group.

<Operation>
31 and 32 are flowcharts showing operations from inputting a search condition to estimating a time series data group and displaying it on the input/output device 106.

In step S51, the input/output device 106 receives search conditions input by the operator.

In step S52, it is determined whether the set of search time series input as the search condition exists in the search time series group ID recording unit 207. If the set of search time series exists in the search time series group ID recording unit 207, the process moves to step S53. On the other hand, if the set of search time series does not exist in the search time series group ID recording unit 207, the process moves to step S55.

In step S53, the time series data group estimating unit 112 records the display probability conditional on each time series of the set of search time series from the table of the search time series ID recorded in the frequency probability recording unit 208. With reference to the cells, a set of time series recorded in cells having a conditional probability exceeding a predetermined threshold is recorded as a time series data group in the time series data group recording unit 206.

In step S54, the input/output device displays the time series data as a time series data group when the operator searches.

In step S55, the search time series group ID recording unit 207 assigns a new number to the search time series ID and registers the set of search time series input as the search condition.

In step S56, the time series data group estimation unit 112 does not estimate the time series data group.

FIG. 33 is a flowchart showing the operation of updating the frequency probability recording unit 208 when the operator operates the input/output device 106.

In step S61, the input/output device 106 receives search conditions input by the operator.

In step S62, the input/output device 106 displays the search results.

In step S63, the frequency probability recording unit 208 sets each time series data as a condition for each time series data that has already been selected for display at the timing when the time series data to be displayed in the time series data selection is added, Updates the count of the number of display selections for which the newly selected time series is the result.

In step S64, the frequency probability recording unit 208 updates the probability that time series j will be displayed when time series i is selected for display, according to calculation formula p. Here, the calculation formula p is expressed by the following formula (1).

<Effect>
The driving support device according to the sixth embodiment includes a search time series group ID recording section 207, a frequency probability recording section 208, and a time series data group estimating section 112. The time-series data group estimating unit 112 estimates a time-series data group based on the operator's operation history on the input/output device 106. This makes it possible to narrow down and display the number of time-series data that constitutes driving support information, without having to define time-series data groups in advance.

<Embodiment 7>
In the sixth embodiment, the operator inputs information not collected by the monitoring and control device while referring to the driving support information, immediately searches for and displays appropriate driving support information, and records the operator's operation history for the input/output device. We have described a method for narrowing down and displaying the period of driving support information without having to define the time series data group in advance by estimating the time series data group based on the time series data group. In the method described in Embodiment 6, new driving support information is displayed only when the operator inputs search conditions, but new driving support information is not displayed when the operator does not input search conditions. Embodiment 7 is designed to solve this problem.

FIG. 34 is a block diagram showing an example of the configuration of a driving support device according to Embodiment 7.

As shown in FIG. 34, the driving support device according to the seventh embodiment has a scheduling section 107, an updating section 108, and a search logic recording section 204 in addition to the driving support device according to the sixth embodiment (see FIG. 27). We are prepared. That is, the configuration and operation of the driving support device according to Embodiment 7 is a combination of the driving support device according to Embodiment 6 (see FIG. 27) and the driving support device according to Embodiment 2 (see FIG. 13). be.

According to the seventh embodiment, new driving support information is automatically presented to the operator, driving support information intended by the operator is presented at the timing intended by the operator, and time-series data groups are not defined in advance. It is also possible to narrow down and display the number of time series data that make up the driving support information.

<Hardware configuration>
Each of the functions of the feature calculation unit 101, the search unit 102, the driving support information creation unit 103, and the feature addition unit 104 in the driving support device described in the first embodiment is realized by a processing circuit. That is, the driving support device calculates feature amounts from the time series data recorded in the time series data recording unit 201, searches the time series data based on search conditions input by the operator, and performs driving support based on the search results. It is provided with a processing circuit for creating information and recording information on feature quantities input by an operator in the feature quantity added time series data recording unit 203. The processing circuit may be dedicated hardware, and may be a processor (CPU, central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, DSP (Digital Signal Processor)) that executes a program stored in memory. ).

When the processing circuit is dedicated hardware, as shown in FIG. 35, the processing circuit 1600 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, or an ASIC (Application Specific Integrated Circuit). , FPGA (Field Programmable Gate Array), or a combination of these. Each of the functions of the feature calculation unit 101, the search unit 102, the driving support information creation unit 103, and the feature addition unit 104 may be realized by the processing circuit 1600, or each function may be realized by a single processing circuit 1600. You may.

When the processing circuit 1600 is the processor 1610 shown in FIG. 36, each function of the feature calculation section 101, the search section 102, the driving support information creation section 103, and the feature amount adding section 104 can be implemented using software, firmware, or software and firmware. This is realized by a combination of Software or firmware is written as a program and stored in memory 1620. Processor 1610 implements each function by reading and executing programs recorded in memory 1620. That is, the driving support device performs the following steps: calculating a feature amount from the time series data recorded in the time series data recording unit 201, searching the time series data based on the search conditions input by the operator, and searching the time series data based on the search results. A memory 1620 is provided to store a program that will result in the steps of creating driving support information and recording feature information input by the operator in the feature-added time series data recording unit 203. Be prepared. It can also be said that these programs cause the computer to execute the procedures or methods of the feature amount calculating section 101, the search section 102, the driving support information creation section 103, and the feature amount adding section 104. Here, memory refers to nonvolatile or volatile memory such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (Electrically Erasable Programmable Read Only Memory). The storage medium may be a flexible semiconductor memory, a magnetic disk, a flexible disk, an optical disk, a compact disk, a DVD (Digital Versatile Disc), or any storage medium that will be used in the future.

Note that some of the functions of the feature calculation unit 101, search unit 102, driving support information creation unit 103, and feature addition unit 104 are realized by dedicated hardware, and other functions are implemented by software or firmware. It may be realized by

In this way, the processing circuit can realize each of the above functions using hardware, software, firmware, or a combination thereof.

Although the hardware configuration of the driving support device shown in FIG. 2 has been described above, the same applies to the hardware configuration of the driving support device shown in FIGS.

<Driving support system>
FIG. 37 is a block diagram showing the configuration of the driving support system. The driving support system includes a server 1700 and a terminal device 1710. Server 1700 is a server installed on the cloud. Terminal device 1710 is a device provided at a location where an operator is present. Server 1700 and terminal device 1710 are communicably connected.

The server 1700 includes a monitoring control device 105, a time-series data recording section 201, a feature calculation logic recording section 202, a feature calculation section 101, a feature-added time-series data recording section 203, and a feature addition section. 104. Further, the terminal device 1710 includes a search section 102, a driving support information creation section 103, and an input/output device 106. Each component included in server 1700 and terminal device 1710 is the same as each component in the driving support device according to the first embodiment (see FIG. 2).

Note that although FIG. 37 shows a configuration in which each component of the driving support device according to the first embodiment is distributed and arranged in the server 1700 and the terminal device 1710, the configuration of the driving support system is limited to this. It's not a thing. The driving support system may have a configuration in which each component of the driving support device shown in FIGS.

Note that within the scope of the present disclosure, it is possible to freely combine the embodiments, or to modify or omit each embodiment as appropriate.

Although the present disclosure has been described in detail, the above description in all aspects is illustrative and not restrictive. It is understood that countless variations not illustrated may be envisioned.

101 Feature calculation unit, 102 Search unit, 103 Driving support information creation unit, 104 Feature provision unit, 105 Monitoring control device, 106 Input/output device, 107 Scheduling unit, 108 Update unit, 109 Time series data editing unit, 110 Simulation Execution unit, 111 Evaluation value calculation unit, 112 Time series data group estimation unit, 201 Time series data recording unit, 202 Feature value calculation logic recording unit, 203 Feature value assigned time series data recording unit, 204 Search logic recording unit, 205 Feature value and evaluation value assigned time series data recording unit, 206 Time series data group recording unit, 207 Search time series group ID recording unit, 208 Number probability recording unit, 301 Feature value time series name, 302 Unit of feature value time series , 303 Type of feature used for calculation, 304 Source time series, 305 Unit of source time series, 306 Type of feature, 307 Calculation formula, 400 Search condition input, 401 Time series name, 402 Search type, 403 Target time, 404 Condition, 405 Search condition, 406 Search condition, 407 Search condition, 408 Search condition, 410 Search result list, 411 Selection, 412 Ranking, 413 Search result, 414 Search result, 415 Search result, 420 Time series data selection, 430 Trend Graph, 431 Period selection bar, 432 Feature name, 433 Value, 440 Search button, 450 Add feature button, 451 Selection window, 460 Calendar, 461 Period unit selection button, 462 < button, 463 > button, 464 Today button, 465 Period selection bar, 466 Feature name, 467 Value, 500 Date and time column, 501 Classification, 502 Classification, 510 Measurement value 2 column, 520 Feature value 1 column, 530 Last column, 600 Search logic ID, 610 Search Condition, 611 Time series name, 612 Search type, 613 Target time, 614 First condition, 615 Second condition, 616 Time series name, 617 Search type, 618 Target time, 619 First condition, 620 Second condition, 701 Search Logic ID, 702 Start date and time, 703 End date and time, 704 Cycle, 801 Simulation input creation button, 802 Trend graph, 803 Time series data, 804 Time series data for simulation, 805 Simulation execution button, 900 Evaluation result list, 901 Selection, 902 Date and time, 903 Scenario, 904 Evaluation value, 905 Add to search button, 910 Trend graph, 1001 Measurement value, 1002 Evaluation value, 1003 Simulation measurement value, 1004 Simulation evaluation value, 1005 Cell, 1006 Cell, 1100 Time series data selection, 1101 Time series data group selection, 1102 Time series data, 1201 Group ID, 1202 Time series name, 1300 Time series data selection, 1301 Time series data combination, 1310 Trend graph, 1320 Search condition input, 1321 Search condition, 1322 Search button , 1401 Search time series group ID, 1402 Search time series, 1501 Number of times, 1502 Probability, 1600 Processing circuit, 1610 Processor, 1620 Memory, 1700 Server, 1710 Terminal device.

Claims (10)

1. a time-series data recording unit that records supervisory control data collected from the plant by a supervisory control device that monitors the plant as time-series data;
   a feature amount calculation logic recording unit that records feature amount calculation logic for calculating feature amounts from the time series data;
   a feature amount calculation unit that calculates the feature amount from the time series data based on the feature amount calculation logic recorded in the feature amount calculation logic recording unit;
   a feature amount added time series data recording unit that records the time series data in association with a calculated feature amount that is the feature amount calculated by the feature amount calculation unit;
   Based on the search conditions input by the operator, the time series data recorded in the feature value added time series data recording unit is divided, and the degree of match with the search conditions is highest among the divided time series data. a search unit that searches the time series data;
   an operation support information creation unit that creates operation support information that supports operation of the plant based on the time series data searched by the search unit and the calculated feature amount associated with the time series data;
   a feature amount adding unit that records an additional feature amount that is an additional feature amount input by the operator to the time series data in the feature amount added time series data recording unit in association with the time series data;
   Equipped with
   The driving support information creation unit creates the driving support information based on the time series data searched by the search unit, and the calculated feature amount and the additional feature amount associated with the time series data. Driving support equipment.
2. The driving support device according to claim 1, further comprising an input/output unit that displays the driving support information created by the driving support information creation unit and receives the search condition and the additional feature amount input by the operator.
3. a search logic recording unit that records search logic for the search by the search unit;
   a scheduling unit that specifies a schedule for the search unit to execute the search;
   Furthermore,
   The driving support device according to claim 1, wherein the search unit executes the search based on the search logic recorded by the search logic recording unit in the schedule specified by the scheduling unit.
4. a time series data editing unit that edits the time series data;
   a simulation execution unit that simulates the behavior of the plant based on the time series data edited by the time series data editing unit;
   an evaluation value calculation unit that evaluates the behavior of the plant simulated by the simulation execution unit;
   a feature amount and evaluation value assigned time series data recording unit that records simulation results by the simulation execution unit and evaluation results by the evaluation value calculation unit in association with each other;
   The driving assistance device according to claim 1, comprising:
5. a time series data editing unit that edits the time series data;
   a simulation execution unit that simulates the behavior of the plant based on the time series data edited by the time series data editing unit;
   an evaluation value calculation unit that evaluates the behavior of the plant simulated by the simulation execution unit;
   a feature amount and evaluation value assigned time series data recording unit that records simulation results by the simulation execution unit and evaluation results by the evaluation value calculation unit in association with each other;
   The driving support device according to claim 3, comprising:.
6. The driving support device according to claim 1, further comprising a time-series data group recording unit that records the time-series data group by group.
7. a search time series group ID recording unit that records a group of the time series data input as the search condition in association with an ID of the group;
   For each ID of the group, the number of times when the operator selects one of the time series data from the driving support information, the other time series data is selected, and the number of times the operator selects one of the time series data from the driving support information. a frequency probability recording unit that records the probability that other time series data will be selected when time series data is selected;
   Recording in the time series data group recording unit based on the group and the ID of the group recorded in the search time series group ID recording unit, and the number of times and the probability recorded in the number probability recording unit. a time series data group estimating unit that estimates the group of the time series data to be
   The driving assistance device according to claim 6, comprising:
8. a search logic recording unit that records search logic for the search by the search unit;
   a scheduling unit that specifies a schedule for the search unit to execute the search;
   Furthermore,
   The driving support device according to claim 7, wherein the search unit executes the search based on the search logic recorded by the search logic recording unit in the schedule specified by the scheduling unit.
9. A driving support system comprising a server and a terminal device provided at a location where the operator is located,
   The server is
   a time-series data recording unit that records supervisory control data collected from the plant by a supervisory control device that monitors the plant as time-series data;
   a feature amount calculation logic recording unit that records feature amount calculation logic for calculating feature amounts from the time series data;
   a feature amount calculation unit that calculates the feature amount from the time series data based on the feature amount calculation logic recorded in the feature amount calculation logic recording unit;
   a feature amount added time series data recording unit that records the time series data in association with a calculated feature amount that is the feature amount calculated by the feature amount calculation unit;
   a feature amount adding unit that records an additional feature amount that is an additional feature amount input by the operator to the time series data in the feature amount added time series data recording unit in association with the time series data;
   has
   The terminal device is
   Based on the search conditions input by the operator, the time series data recorded in the feature value added time series data recording unit is divided, and the degree of match with the search conditions is highest among the divided time series data. a search unit that searches the time series data;
   an operation support information creation unit that creates operation support information that supports operation of the plant based on the time series data searched by the search unit and the calculated feature amount associated with the time series data;
   has
   The driving support information creation unit creates the driving support information based on the time series data searched by the search unit, and the calculated feature amount and the additional feature amount associated with the time series data. Driving assistance system.
10. A supervisory control device that monitors a plant records supervisory control data collected from the plant as time series data,
    Recording feature amount calculation logic for calculating feature amounts from the time series data,
    Calculating the feature amount from the time series data based on the feature amount calculation logic,
    Correlating and recording the time series data and a calculated feature amount that is the calculated feature amount,
    dividing the recorded time-series data based on search conditions input by an operator, searching the divided time-series data for the time-series data that has the highest degree of agreement with the search conditions;
    creating operation support information for supporting the operation of the plant based on the retrieved time series data and the calculated feature amount associated with the time series data;
    Associating an additional feature quantity that is an additional feature quantity input by the operator with respect to the time series data with the time series data,
    A driving support method, wherein the driving support information is created based on the retrieved time series data, the calculated feature amount, and the additional feature amount associated with the time series data.

Images