WO2023190458A1

WO2023190458A1 - Assistance device, assistance method, and assistance program

Info

Publication number: WO2023190458A1
Application number: PCT/JP2023/012397
Authority: WO
Inventors: 英里子 ▲高▼▲崎▼; 木乃美平田
Original assignee: 住友重機械工業株式会社
Priority date: 2022-03-29
Filing date: 2023-03-28
Publication date: 2023-10-05
Also published as: TW202338543A

Abstract

An assistance device (10) for assisting the operation of a plant comprises: an abnormality detection unit (14e) that detects, on the basis of sensor data detected by a plurality of sensors provided at a plant (1), a sensor indicating an abnormality; a storage unit (18) that stores sensor relevancy information in which are associated a plurality of sensor sites affiliated with the respective sensors and representing constituent elements of the plant, a process in which the plurality of sensor sites are passed through and measured by the sensors respectively affiliated with the plurality of sensor sites, and a process sequence for the process for passing through the plurality of sensor sites; and a relevancy information identification unit (14d) that, with reference to the sensor relevancy information stored in the storage unit (18), identifies information related to a relevant sensor recognized as having relevancy in at least one of the sensor sites, the process, and the process sequence, with respect to a detected sensor detected by the abnormality detection unit (14e).

Description

Support devices, support methods and support programs

The present invention relates to a support device, a support method, and a support program for supporting plant operation.

The central monitoring room in the plant monitors time-series data acquired from sensors installed in the plant, and constantly monitors alarms issued by the DCS (distributed control system). The warnings that are issued vary widely from caution level to monitoring required level, and after being issued, operators evaluate the importance and urgency of each alarm and decide whether to take specific action.

JP2000-56825

However, plant processes are often complexly intertwined, and operators without sufficient experience and knowledge may not be able to identify the information necessary for making decisions.

One of the exemplary objects of an embodiment of the present invention is to provide a support device and a support device that can easily and quickly grasp the information necessary for determining the location and cause of a failure when an abnormality is detected by a sensor in a plant. The objective is to provide methods and support programs.

In order to solve the above problems, one aspect of the present invention is a support device. This support device is a device for supporting plant operation, and includes an abnormality detection unit that detects a sensor indicating an abnormality based on sensor data detected by a plurality of sensors installed in the plant, and each sensor. A storage unit that stores sensor related information in which a sensor part indicating a component of a plant to which the sensor belongs, a process that passes through the sensor part and is measured by the sensor, and a process order in which the process passes through the sensor part. Then, with reference to the sensor relationship information stored in the storage unit, information regarding a related sensor that is found to be related to the detection sensor detected by the abnormality detection unit in at least one of the sensor location, process, and process order. and a related information identification unit that identifies the relevant information.

According to the above aspect, since the support device identifies a related sensor that is recognized to be related to the detection sensor in at least one of the sensor location, the process, and the process order, an operator without sufficient experience and knowledge can You can easily and quickly obtain the information needed to make a decision.

Yet another aspect of the present invention is a support method. This method is a method for supporting plant operation, and includes an abnormality detection step of detecting a sensor indicating an abnormality based on sensor data detected by a plurality of sensors installed in the plant; a storage step for storing sensor related information in which a sensor site indicating a component of the sensor site, a process passing through the sensor site and measured by the sensor, and a process order indicating the order in which the process passes through the sensor site; , with reference to the sensor relationship information stored in the storage step, information regarding a related sensor that is found to be related in at least one of a sensor location, a process, and a process order to the detection sensor detected by the abnormality detection step. and a related information specifying step.

Yet another aspect of the present invention is a support program. This program is a program for supporting the operation of a plant, and includes an abnormality detection means for detecting a sensor indicating an abnormality based on sensor data detected by a plurality of sensors installed in the plant. Sensor relationship information in which a sensor site indicating a component of the plant to which each sensor belongs, a process that passes through the sensor site and is measured by the sensor, and a process order indicating the order in which the processes pass through the sensor site are associated. With reference to the storage means to store and the sensor relevance information stored by the storage means, a relationship is recognized in at least one of the sensor part, the process, and the process order with respect to the detection sensor detected by the abnormality detection means. It functions as a related information specifying means for specifying information regarding related sensors.

Note that the present invention also includes any combination of the above constituent elements, and mutual substitution of constituent elements and expressions of the present invention among methods, apparatuses, systems, computer programs, data structures, recording media, etc. It is effective as a mode.

According to the present invention, when an abnormality is detected by a sensor in a plant, it is possible to easily and quickly obtain information necessary for determining the location and cause of the failure.

1 is a diagram showing the configuration of a support device 10 according to an embodiment of the present invention. 1 is a diagram showing an example of a hardware configuration of a support device 10. FIG. 2 is a diagram showing an example of the relationship between sensors, sensor parts, and processes of the support device 10. FIG. 2 is a diagram showing an example of the relationship between sensors, sensor parts, and processes of the support device 10. FIG. It is a figure which shows an example of the sensor relevance information memorize|stored in the sensor relevance information storage part 18e. 3 is a flowchart illustrating an example of a support method by the support device 10. FIG. 3 is a flowchart illustrating an example of a support method by the support device 10. FIG. 3 is a flowchart illustrating an example of a support method by the support device 10. FIG. 3 is a flowchart illustrating an example of a support method by the support device 10. FIG. 3 is a diagram showing an example of a display screen displayed by the support device 10. FIG.

Hereinafter, the present invention will be explained through embodiments of the invention with reference to the drawings, but the following embodiments do not limit the claimed invention, and the embodiments described in the embodiments do not limit the claimed invention. Not all combinations of features are essential to the solution of the invention. Identical or equivalent components, members, and processes shown in each drawing are designated by the same reference numerals, and redundant explanations will be omitted as appropriate.

1 to 5 are diagrams for explaining a support device 10 according to an embodiment of the present invention. Specifically, FIG. 1 is a diagram showing the configuration of a support device 10 according to an embodiment of the present invention, and FIG. 2 is a diagram showing an example of the hardware configuration of the support device 10. 3 and 4 are diagrams illustrating an example of the relationship between sensors, sensor parts, and processes of the support device 10. FIG. 5 is a diagram for explaining an example of sensor relevance information stored in the sensor relevance information storage section 18e.

The support device 10 is a device that supports the operation of the plant 1. Examples of the plant 1 include a power generation plant, an incineration plant, a chemical plant, and the like. In the plant 1, arbitrary sensor data is used. The sensor data is, for example, data on process values such as temperature, pressure, air volume, concentration, or components. Specifically, the process value of the sensor data is a measured value detected by a sensor (not shown) installed in the plant 1, and a manipulated variable based on the difference between the set value and measured value for the point detected by the sensor. and may include. The sensor data obtained from the plant 1 is multidimensional data that includes hundreds of types or more.

The support device 10 is connected to the plant 1 via a DCS (distributed control system) 2, and acquires sensor data from sensors installed in the plant 1. According to the support device 10, when an abnormality is detected by any sensor in the plant, it is possible to easily and quickly grasp the information necessary for determining the location and cause of the failure.

The support device 10 has a predetermined program necessary for executing the support method according to the present embodiment installed in advance, and an example of its hardware configuration is shown in FIG. 2. Specifically, the support device 10 can be a general-purpose or dedicated computer that includes a CPU 100, a ROM 102, a RAM 104, an external storage device 106, a user interface 108, a display 110, and a communication interface 112. The CPU 100 performs calculations based on information input by the worker through the user interface 108 and outputs the calculation results to the display 110, and while the worker recognizes the output, the user interface 108 allows the support device 10 to You can now enter the necessary information.

The support device 10 may be composed of a single computer or may be composed of multiple computers distributed on a network. In the support device 10, for example, the CPU executes a predetermined program (a program specifying the support method according to the present embodiment) stored in the above-mentioned ROM, RAM, external storage device, etc. or downloaded via a communication network. By doing so, the support device 10 can function as various functional blocks or various steps described below.

Hereinafter, various functional blocks of the support device 10 will be explained using FIG. 1.

The support device 10 according to the present embodiment includes an input section 12 having an operation receiving section 12a and a selection receiving section 12b, a processing section 14, a display section 16 having a display 16a, and a storage section 18. Here, the processing section 14 includes a data acquisition section 14a, a display control section 14c, a related information identification section 14d, and an abnormality detection section 14e. The storage unit 18 also includes an abnormality threshold information storage unit 18a, a sensor data storage unit 18b, a detected sensor information storage unit 18c, a related sensor information storage unit 18d, and a sensor relevance information storage unit 18e.

The data acquisition unit 14a acquires sensor data of the plant via the DCS. The sensor data is for determining the operating state of the plant, and can also be referred to as operating data. The sensor data is, for example, data indicating changes over time in measured values of a sensor. In this case, the sensor data may be continuous changes in sensor measurements at predetermined time intervals. Sensor data may be multidimensional data. The sensor data acquired by the data acquisition unit 14a is stored in the sensor data storage unit 18b together with information regarding time.

The abnormality detection unit 14e refers to the abnormality threshold information stored in the abnormality threshold information storage unit 18a, detects that there is a value outside the threshold in the acquired sensor data, and indicates the process value outside the threshold. The detected sensor is stored as a detection sensor in the detection sensor information storage section 18c. Note that the abnormality threshold information is information including a threshold value for determining that an abnormality has occurred for each sensor in the plant. The state in which an abnormality has occurred includes not only a state in which the operation of the plant has to be stopped, but also a state in which the plant can continue operation but is not in a good operating state.

Further, the abnormality threshold information includes information input by the user via the user interface 108, information stored in the external storage device 106 or RAM 104, information automatically set as the plant operates, and the like.

The threshold value for determining that an abnormality has occurred may be set arbitrarily as appropriate. Furthermore, the threshold value may be set in multiple stages. For example, if the temperature value measured by a certain sensor is between 60° C. and 80° C., the user may be notified as a “caution”, and when it is between 80° C. and 100° C., the user may be notified as “monitoring required”.

The related information specifying unit 14d refers to the sensor relevance information stored in the sensor related information storage unit 18e and the detected sensor information stored in the detected sensor information storage unit 18c, and identifies sensor parts and processes for the detected sensor. and sensors that are found to be related in at least one of the process orders are stored as related sensor information in the related sensor information storage unit 18d. Note that the definitions of the sensor parts and process order will be described later. Further, a specific example of the sensor relevance information stored in the sensor relevance information storage unit 18e will also be described later.

The display control unit 14c displays the measurement information of the related sensor on the display 16a based on the related sensor information stored in the related sensor information storage unit 18d. The measurement information is, for example, a time series graph in which the vertical axis is the measured value of the sensor and the horizontal axis is the measurement time, or an instantaneous value of the measured value of the sensor at a specific time.

The operation reception unit 12a and the selection reception unit 12b accept an operation or selection via the user interface 108 from a user who has confirmed the measurement information displayed on the display 16a, and display the received information on the display 16a via the display control unit 14c. Change information. The types of operations include, for example, filtering part of the measurement information, changing the time width of the measurement information to be displayed, and the like.

Next, the relationship among the sensor, sensor part, and process will be explained using FIG. 3.

The sensor site indicates a component of the plant. As an example, sensor sites A to D in FIG. 3 are a furnace, a compact separator outlet, a superheating furnace inlet, and a carbon dioxide equivalent inlet, respectively. Note that the types of sensor parts used as examples do not limit the plants to which the present invention is applied.

A process is a process in which a substance passes through each sensor site in the plant. As an example, process α and process β in FIG. 3 both pass through sensor locations A to D in different orders.

The process may only pass through some of the plant components. For example, when all the components of a plant are sensor site A to sensor site D, a process may pass through sensor site A to sensor site C, but not through sensor site D. Also, the process may be branched into multiple sensor sites. For example, after a certain process passes through sensor site A, the process may branch and pass through sensor site B and sensor site C.

A sensor measures a certain process at a certain sensor site. For example, sensor A1 in FIG. 3 measures process α at sensor site A.

Further, the sensor may be a sensor group, which is a plurality of sensors that perform measurements in the same process at the same sensor site. For example, since the sensors A1a to A1h all measure the process α at the sensor site A, the sensor A1 can also be said to be a sensor group consisting of the sensors A1a to A1h. In cases where the area of the sensor site is large and a single physical sensor cannot sufficiently acquire information about the sensor site, multiple sensors may be installed in this manner. For example, if the area where process α passes through sensor site A is large, a single physical sensor cannot measure the entire passing area. Therefore, by using eight sensors, sensor A1a to sensor A1h, it is possible to measure the entire passing portion.

In this case, the detection sensor identified by the abnormality detection unit 14e may be sensor A1, which is a sensor group, or may be any one of sensors A1a to A1h included in sensor A1. For example, when an abnormality is detected in sensor A1a, sensor A1a itself may be used as the detection sensor, or sensor A1, which is a sensor group to which sensor A1a belongs, may be used as the detection sensor.

Furthermore, when sensor A1 is a sensor group, the measured value of sensor A1 may be expressed, for example, in the form of a vector consisting of at least some of the measured values of sensor A1a to sensor A1h. It may also be a statistic calculated from measured values.

Note that the sensor group may be composed of multiple types of sensors. For example, sensors A2a to A2d may be temperature sensors, and sensors A2e to A2h may be pressure sensors.

Next, the relationship between processes and process order will be explained using FIG. 4. FIG. 4 is a simplified diagram of FIG.

A process order is the order of sensor parts that a certain process passes through. For example, the process order of process α in FIG. 4 is sensor part A, sensor part B, sensor part C, sensor part D, and the process order of process β is sensor part D, sensor part A, sensor part C, sensor part B. It is.

A stage in a process sequence is the order in which a certain sensor site is passed through in the process sequence. For example, in process α, the process order of sensor part C is in the third stage out of four stages. In addition, the fact that the process order is in the previous or next stage means that, for example, sensor part B (second stage in process α) is one stage before sensor part C (third stage in process α). , sensor part D (fourth stage in process α) is located one stage later.

Next, an example of the sensor relevance information stored in the sensor relevance information storage section 18e will be described using FIG. 5. Sensor relevance information is information in which a sensor part, a process, and a process order are associated with each sensor.

FIG. 5 shows sensor relevance information corresponding to the plant configuration shown in FIG. 4. The sensor relevance information is information in which each sensor (c10) is associated with the sensor part (c12) to which it belongs, the process to be measured (c16), and the step (c16) in the process order that passes through the sensor part in the process. It is.

By using the sensor relevance information, it is possible to specify a sensor site and process that correspond to a certain sensor, and conversely, it is possible to specify a certain sensor from the sensor site and process. For example, according to row r18, sensor C1 (r18, c10) belongs to sensor part C (r18, c12) and measures process α (r18, c14), and the process order in process α of sensor part C is three stages. You can read that it is an eye (r18, c16). In addition, for example, according to the rows r10, r14, r18, r22 in which the column c14 of "Process" is the process α, the process α is the sensor A1, B1, C1, It can be read that D1 measures.

The sensor relevance information is not limited to what is represented by one table as shown in FIG. For example, it may be represented by a plurality of tables that can create a table equivalent to the table in FIG. 5 by combining the tables as appropriate. Further, it may be represented by a data structure other than a table, such as a list format or an XML (Extensible Markup Language) format.

Hereinafter, as an embodiment of the support device 10 of the present invention, an example of the operation of the support device 10 will be described using flowcharts shown in FIGS. 6 to 9. FIG. 6 is an example of the overall operation of the support device 10 according to this embodiment. 7 to 9 are examples of operations when the related information specifying unit 14d specifies a related sensor.

In FIG. 6, first, sensor data is acquired by the data acquisition unit 14a (S10). The sensor data acquired by the data acquisition section 14a is stored in the sensor data storage section 18b. Sensor data may be acquired directly from the DCS 2, by accepting sensor data input from the user via the user interface 108, or via the RAM 104 or external storage device 106. This may also be done by reading.

Next, the abnormality detection unit 14e compares the sensor data stored in the sensor data storage unit 18b with the abnormality threshold information stored in the abnormality threshold information storage unit 18a (S14). If there is no sensor data that exceeds the threshold, the support device 10 ends the operation, assuming that there is no sensor indicating an abnormality.

On the other hand, if there is sensor data exceeding the threshold, the sensor corresponding to the sensor data is set as the detection sensor (S16). Information regarding the detection sensor is stored in the detection sensor information storage section 18c.

After step S16, the related information identifying unit 14d identifies related sensors based on the detected sensor information stored in the detected sensor information storage unit 18c and the sensor relevance information stored in the sensor relevance information storage unit 18e. (S18). An example of the operation of the related information specifying unit 14d will be explained separately using FIGS. 7 to 9. Information on the identified related sensor is stored in the related sensor information storage section 18d.

After step S18, the display control unit 14c displays measurement information on the display 16a based on the detection sensor information stored in the detection sensor information storage unit 18c and the related sensor information stored in the related sensor information storage unit 18d ( S20). The displayed information can be changed in response to input from the user to the operation reception section 12a or the selection reception section 12b. An example of the display screen will be explained separately using FIG. 10. After step S20, the support device 10 ends its operation.

The operation of the embodiment of the present invention described above is only an example, and is not limited thereto. For example, the order of each step may be changed as long as there is no contradiction in operation, and at least a portion of the steps may be repeatedly executed (for example, after step S20, the process may return to step S10 without ending).

Next, an example of the operation of the related information specifying unit 14d in the case where the sensor C1 in FIG. 4 is a sensor indicating an abnormality will be explained using FIGS. 7, 4, and 5. In this example, the process that sensor C1 measures is identified, and sensors belonging to other sensor sites through which this process passes are identified as related sensors.

First, the process to be measured by the sensor C1 and the sensor site to which the sensor C1 belongs are identified. Specifically, first, the process α(r18, c14) is identified from the information in the process column c14 in the row r18 where the sensor column c10 is "sensor C1" (S182a). Second, the sensor part C (r18, c12) is specified from the information in the sensor part column c12 in the row r18 where the sensor column c10 is "sensor C1" (S182b). Here, the identified process α and sensor site C correspond to the process measured by sensor C1 and the site to which sensor C1 belongs, respectively.

Furthermore, in row r10, row r14, row r18, and row r22 where the process column c14 is "process α", the sensor part column c12 is referred to, and the sensor part that is different from the sensor part C and through which the process α passes is selected. Specify (S182c).

The sensor site candidates to be identified are sensor site A (r10, c12), sensor site B (r14, c14), and sensor site D (r22, c12), and any one of these can be specified. In this embodiment, an example is shown in which the process order is taken into consideration. Specifically, while the process order of sensor part C in process α is the third stage (r18, c16), the process order of sensor part D in process α is the fourth stage (r22, c16), which is one stage later. Identify.

Finally, the sensor D1 (r22, c10) corresponding to the row r22 where the sensor part column c12 is "sensor part D" and the process column c14 is "process α" is identified as a related sensor (S182d).

Even if a sensor belongs to a sensor site different from the detection sensor, information indicated by the sensor tends to be more closely related between sensor sites through which the same process passes than when through different processes. In particular, sensor parts located before or after the process order (that is, either one step before or one step after) have a higher degree of relevance to the information indicated by the sensors. For example, in relation to process α, sensor part C (r18, c12) whose process order is the 3rd stage is different from sensor part A (r10, c12) whose process order is the 1st stage. In comparison, sensor site D (r22, c12), which is in the fourth stage of the process order, tends to have higher relevance. In such a case, the location of the failure that cannot be determined using only the sensor C1 can be determined by combining the information from the identified sensor D1.

Next, another example of the operation of the related information specifying unit 14d when the sensor C1 in FIG. 4 is a detection sensor will be described using FIGS. 8, 4, and 5. In this example, a sensor that belongs to the same sensor site as sensor C1 and measures a different process is identified as a related sensor.

First, the process to be measured by the sensor C1 and the sensor site to which the sensor C1 belongs are identified. Specifically, first, the process α(r18, c14) is specified from the information in the process column c14 in the row r18 where the sensor column c10 is "sensor C1" (S184a). Second, the sensor part C (r18, c12) is specified from the information in the sensor part column c12 in the row r18 where the sensor column c10 is "sensor C1" (S184b). Here, the identified process α and sensor site C correspond to the process measured by sensor C1 and the site to which sensor C1 belongs, respectively.

Further, from r18 and r20 where the sensor part column c12 is "sensor part C", the process column c14 is referenced to identify the process β (r20, c14) which is different from the process α (S184c).

Finally, the sensor C2 (r20, c10) corresponding to the row r20 where the sensor part column c12 is "sensor part C" and the process column c14 is "process β" is identified as a related sensor (S184d).

Even if a sensor measures a process different from the detection sensor, information indicated by sensors that belong to the same sensor site tends to have higher relevance than sensors that belong to different sensor sites. For example, a failure location that cannot be determined using only the sensor C1 can be determined by combining information from the identified sensor C2.

Next, another example of the operation of the related information specifying unit 14d when the sensor C1 in FIG. 4 is a detection sensor will be described using FIGS. 9, 4, and 5. In this example, a sensor that belongs to a different sensor site from sensor C1 and measures a different process is identified as a related sensor.

First, the process to be measured by the sensor C1 and the sensor site to which the sensor C1 belongs are identified. Specifically, first, the process α is specified from the information in the process column c14 in the row r18 where the sensor column c10 is "sensor C1" (S186a). Second, the sensor part C is specified from the information in the sensor part column c12 in the row r18 where the sensor column c10 is "sensor C1" (S186b). Here, the identified process α and sensor site C correspond to the process measured by sensor C1 and the site to which sensor C1 belongs, respectively.

Next, from r18 and r20 where the sensor part column c12 is "sensor part C", the process column c14 is referenced to identify the process β (r20, c14) that is different from the process α (S186c).

Further, from rows r12, rows r16, rows r20, and rows r24 where the process column c14 is "process β", the sensor part column c12 is referred to, and a sensor part different from the sensor part C through which the process β passes is identified. (S186d).

The sensor site candidates to be identified are sensor site A (r12, c12), sensor site B (r16, c12), and sensor site D (r24, c12), and any one of these can be specified. In this embodiment, an example is shown in which the process order is taken into consideration. Specifically, while the process order of sensor part C in process β is the third stage (r20, c16), the process order of sensor part A in process β is the second stage (r12, c16), which is one stage earlier. Identify.

Finally, the sensor A2 (r12, c10) corresponding to the row r12 where the sensor part column c12 is "sensor part A" and the process column c14 is "process β" is identified as a related sensor (S186e).

Even if a sensor measures a different process than the detection sensor and belongs to a different sensor site, the sensors identified by the above method tend to have high relevance. This is because the process measured by the sensor identified by the above method and the process measured by the detection sensor both pass through the sensor site to which the detection sensor belongs. For example, the process β measured by the sensor A2 identified by the above method and the process α measured by the detection sensor C1 both pass through the sensor part C to which the detection sensor C1 belongs, so the sensor A2 and the sensor C1 are related. It may be highly sexual.

Further, the information indicated by the sensors has a higher degree of relevance between sensor parts located before or after the process order (that is, either one step before or one step after). For example, in relation to process β, sensor part C (r20, c12) whose process order is the 3rd stage is different from sensor part D (r24, c12) whose process order is the 1st stage. In comparison, sensor part A (r12, c12), which is in the second stage of the process order, tends to have higher relevance. In such a case, the location of the failure that cannot be determined using only the sensor C1 can be determined by combining the information from the identified sensor A2. It is particularly difficult for an unskilled operator to discover the sensors shown in this embodiment, which can be related despite having different processes and sensor locations.

The above related sensor identification method can also use different identification methods in a superimposed manner. For example, the related sensors may include all of sensor D1 in the same process and different sensor locations, sensor C2 in different processes and the same sensor location, and sensor A2 in different processes and different sensor locations.

Additionally, the same identifying method for the above-mentioned related sensors can be used in a superimposed manner. For example, related sensors may include both sensor D1 and sensor B1, which are multiple sensors of the same process and different sensor locations.

FIG. 10 is an example of a display screen 200 of related sensor information acquired according to the present embodiment. The graph display area 230 displays measurement information of the detection sensor and related sensors. The display period setting area 210 displays the period of the graph to be displayed. The filtering option area 220 displays buttons for selecting and displaying part of the information in the graph. The reset button area 240 displays a button for resetting the set filtering conditions.

The graph display area 230 displays measurement information of the detection sensor and related sensors in a time series graph. The time series graph area 232 displays an explanation 233 and a time series graph 232a corresponding to the sensor C1. In this way, when the sensor C1 is a single sensor, only one time series graph may be displayed.

However, like the time series graph area 238, a plurality of time series graphs may be displayed in the area. Specifically, when there are multiple sensors (sensor group) that measure the same process at a certain sensor site, a time series graph corresponding to each sensor may be displayed. For example, when there are eight sensors A2a to A2h that measure process β at sensor site A, such as sensor A2 in FIG. Eight graphs of 238h may be displayed.

In this way, by displaying a plurality of sensors that belong to the same sensor site and measure the same process side by side, it is possible to more accurately grasp the location of a failure. For example, if an abnormality is observed in the time series graph 238a, but no abnormality is observed in the other seven time series graphs such as the time series graph 238h arranged in the time series graph area 238, the time series graph 238a It can be estimated that there is a failure around the location where the corresponding sensor is installed. More specifically, if the sensor corresponding to the time series graph 238a is, for example, sensor A2a in FIG. 3, it can be estimated that the failure location is particularly at the lower left middle position in sensor part A (furnace). .

The time series graph 234a (corresponding to sensor D1), time series graph 236a (corresponding to sensor C2), and time series graphs 238a to 238h (corresponding to sensor A2) in the graph display area 230 indicate that the detection sensor in FIG. 4 is sensor C1. This is the measurement information of the related sensor if there is one. These related sensors were identified using different identification methods in a superimposed manner. Specifically, with respect to sensor C1, which is a detection sensor, sensor D1 measures the same process and belongs to a different sensor site, and sensor C2 measures a different process and belongs to the same sensor site. , sensor A2 is a sensor specified by the related information specifying unit 14d as a sensor that measures a different process and belongs to a different sensor site.

In the graph display area 230, time-series graphs corresponding to multiple sensors identified in a superimposed manner using the same identifying method may be displayed simultaneously. For example, if the detection sensor in FIG. 4 is sensor C1, the time series graph corresponding to sensor B1 that measures the same process for sensor C1 and is identified as a sensor belonging to a different sensor site (see FIG. (not shown) may be displayed at the same time, and a time series graph (not shown in FIG. 10) corresponding to the identified sensor B2 measuring different processes for the sensor C1 and belonging to a different sensor site may be simultaneously displayed. May be displayed.

The time series graphs displayed in the graph display area 230 do not need to have the same measured values or the same vertical axis display range. For example, while the time series graph 238a represents changes in temperature, a graph representing changes in pressure, such as a time series graph 238h, may be displayed at the same time. In addition, for example, while the time series graph 232a displays the range from 0°C to 100°C, the time series graph 236a may display the range from -80°C to 300°C.

By changing the display range of measured values and vertical axes according to each time series graph, visibility of the display screen is improved and information necessary for determining failure locations can be efficiently discovered.

The time series graph displayed in the graph display area 230 may include a scroll bar for changing the display range in the horizontal axis direction. By operating a scroll bar, the display range of one time series graph may be changed, or all time series graphs may be scrolled uniformly.

In the time series graph displayed in the graph display area 230, the scale of the display range on the horizontal axis may be changed by a user's operation. For example, a mouse wheel operation may be received from the user via the user interface 108, and the display may be enlarged or reduced in the horizontal axis direction accordingly.

By making it possible to change the display range of the horizontal axis, for example, after checking the overall trend of the time series graph over a long time span, you can check the sensor data by focusing on a period that is particularly necessary for determining the location of a failure, etc. can be confirmed.

The time series graphs may be displayed side by side as shown in FIG. 10, or multiple sensor data may be displayed overlappingly on one time series graph.

The display period setting area 210 can change the display range of the horizontal axis of each time series graph based on input from the user via the user interface 108. For example, if you set "March 1, 2022 0:00 to March 2, 2022 12:15", the left end of the horizontal axis of each time series graph will be "March 1, 2022 0:00". The right end is set to "March 2, 2022, 12:15," and the measured values in that period are displayed. The time set in the display period setting area 210 may be changed to match the above-described scroll bar operation.

The filtering options area 220 displays buttons for the process, sensor site, and each measurement target, and can select the information to be displayed based on input from the user via the user interface 108. For example, when "process α" of the button 220a is selected, a time series graph 232a and a time series 234a, which are measurement information of a sensor that measures process α, are displayed.

Selection may be performed by applying multiple conditions in a superimposed manner. For example, when "sensor part A" of the button 220c and "temperature" of the button 220g are selected, only the measurement information of the temperature sensor including the time series graph 238a among the time series graphs 238a to 238h is displayed.

If the number of related sensors is enormous, displaying all of the time series graphs corresponding to them will reduce the visibility of the display screen, and it may not be possible to properly discover useful information. By enabling such sorting, only necessary information can be displayed from a large number of related sensors in accordance with the user's operations.

The present invention is not limited to the above-described embodiments, and can be modified and applied in various ways. The operations of the support device 10 are not limited to those in which all operations are automated by computer processing, but also include operations in which at least some of the operations are manually performed by an operator. Further, the display section described in FIG. 10 in the above embodiment is only an example, and is not limited thereto.

The embodiments described through the embodiments of the invention above can be used in combination or with changes or improvements as appropriate depending on the application, and the present invention is not limited to the description of the embodiments described above. do not have. For example, the present invention may be applied to each of a plurality of sensors in which an abnormality has been detected as a detection sensor, or one or more sensors with particularly high relevance among the identified sensors may be used as a related sensor. It is clear from the claims that such combinations or forms with changes or improvements may also be included within the technical scope of the present invention.

The present invention also includes the following aspects.

[Additional note 1]
A support device 10 according to one aspect of the present invention is a support device 10 for supporting the operation of a plant 1, and indicates an abnormality based on sensor data detected by a plurality of sensors provided in the plant 1. An abnormality detection unit 14e that detects a sensor, a plurality of sensor parts to which each sensor belongs and which indicates a component of the plant 1, and a sensor that passes through the plurality of sensor parts and is measured by the sensor belonging to each of the plurality of sensor parts. The process and the process order in which the process passes through a plurality of sensor parts are associated with each other. The apparatus includes a related information specifying section 14d that specifies information regarding a related sensor that is found to be related to the sensor detected by the detecting section 14e in at least one of a sensor part, a process, and a process order.

[Additional note 2]
In the support device 10 of Supplementary note 1, the process includes a first process that passes through a detection sensor site to which the detection sensor belongs, the detection sensor measures the first process, and the related sensor is different from the detection sensor site and the first process. It may include a first associated sensor that belongs to a first sensor site through which one process passes and that measures the first process.

[Additional note 3]
In the support device 10 of Supplementary Note 2, the first sensor part may be one step before or one step after the detection sensor part in the process order in the first process.

[Additional note 4]
In the support device 10 according to any one of Supplementary notes 1 to 3, the process includes a first process in which the detection sensor passes through the detection sensor part to which the detection sensor belongs, and a first process that is different from the first process and passes through the detection sensor part. 2 processes, and the related sensor may include a second related sensor that is different from the detection sensor and belongs to the detection sensor site.

[Additional note 5]
In the support device 10 according to any one of Supplementary Notes 1 to 4, the process includes a first process in which the detection sensor passes through the detection sensor part to which the detection sensor belongs, and a first process that is different from the first process and passes through the detection sensor part. The related sensor may include a third related sensor that is different from the sensing sensor location and belongs to a second sensor location through which the second process passes, and that measures the second process.

[Additional note 6]
In the support device 10 described in Supplementary Note 5, the second sensor portion may be one step earlier or one step later in the process order in the second process with respect to the detection sensor portion.

[Additional note 7]
The support device 10 according to any one of Supplementary Notes 1 to 6 further includes a display unit 16 that displays measurement information of at least some of the related sensors, and the measurement information is based on the measured values. The information may be information associated with the measurement time of the measurement value.

[Additional note 8]
In the support device 10 described in Appendix 7, the measurement information may include a time series graph in which measurement times on the horizontal axis are associated with measurement values on the vertical axis.

[Additional note 9]
The support device 10 described in Appendix 8 further includes an operation reception unit 12a that receives an operation from the user, and the display unit 16 changes the display range of the horizontal axis of the time series graph based on the operation received by the operation reception unit 12a. You may.

[Additional note 10]
The support device 10 according to any one of Supplementary Notes 7 to 9 includes a selection reception unit 12b that receives a selection from a user regarding at least one of the sensor type, the process type, and the position of the sensor part. The display unit 16 may select and display the measurement information based on the selection received by the selection reception unit 12b.

[Additional note 11]
A support method according to another aspect of the present invention is a method for supporting the operation of a plant 1, in which a sensor indicating an abnormality is detected based on sensor data detected by a plurality of sensors provided in the plant 1. a plurality of sensor parts to which each sensor belongs and indicates a component of the plant 1; a process of passing through the plurality of sensor parts and being measured by a sensor belonging to each of the plurality of sensor parts; a process order in which the sensor passes through a plurality of sensor parts; a storage step for storing sensor relevance information associated with the sensor; and a detection sensor detected in the abnormality detection step by referring to the sensor relevance information stored in the storage step. , a related information specifying step of specifying information regarding related sensors that are found to be related in at least one of a sensor site, a process, and a process order.

[Additional note 12]
The support program according to another aspect of the present invention is a program for supporting the operation of the plant 1, and is a program for supporting the operation of the plant 1. an abnormality detection means for detecting a sensor indicating a sensor, a plurality of sensor parts to which each sensor belongs and which indicates a component of the plant 1, and a sensor that passes through the plurality of sensor parts and is measured by the sensor belonging to each of the plurality of sensor parts. a storage means for storing sensor relevance information in which a process in which the process passes through a plurality of sensor parts is associated with a process order in which the process passes through a plurality of sensor parts; and an abnormality detection means by referring to the sensor relevance information stored by the storage means The present invention is made to function as a related information specifying means for specifying information related to a related sensor that is recognized to be related in at least one of a sensor part, a process, and a process order with respect to the detection sensor detected by the above method.

DESCRIPTION OF SYMBOLS 1... Plant, 2... DCS, 10... Support device, 12a... Operation reception part, 12b... Selection reception part, 14a... Data acquisition part, 14b... Control part, 14c... Display control part, 14d... Related information identification part, 14e ...Abnormality detection section, 16a...Display, 18...Storage section, 18a...Abnormality threshold information storage section, 18b...Sensor data storage section, 18c...Detected sensor information storage section, 18d...Related sensor information storage section, 18e...Sensor relevance Information storage unit, 100...CPU, 102...ROM, 104...RAM, 106...external storage device, 108...user interface, 110...display, 112...communication interface

Claims

A support device for supporting plant operation,
an abnormality detection unit that detects a sensor indicating an abnormality based on sensor data detected by a plurality of sensors installed in the plant;
a plurality of sensor sites to which each sensor belongs and indicates a component of the plant; a process that passes through the plurality of sensor sites and is measured by a sensor belonging to each of the plurality of sensor sites; a storage unit storing sensor related information associated with a process order of passing through the sensor site;
With reference to the sensor relevance information stored in the storage unit, a relationship is recognized in at least one of the sensor part, the process, and the process order with respect to the detection sensor detected by the abnormality detection unit. a related information identification unit that identifies information regarding related sensors;
A support device equipped with.
The process includes a first process of passing through a detection sensor site to which the detection sensor belongs,
The detection sensor measures the first process,
The support according to claim 1, wherein the related sensor includes a first related sensor that is different from the detection sensor location and belongs to a first sensor location through which the first process passes, and that measures the first process. Device.
The support device according to claim 2, wherein the first sensor part is either one step before or one step after the first process in the process order with respect to the detection sensor part.
The process includes a first process that passes through a detection sensor part to which the detection sensor belongs, and a second process that is different from the first process and passes through the detection sensor part,
The support device according to claim 1, wherein the related sensor includes a second related sensor that is different from the detection sensor and belongs to the detection sensor site.
The process includes a first process that passes through a detection sensor part to which the detection sensor belongs, and a second process that is different from the first process and passes through the detection sensor part,
The support according to claim 1, wherein the related sensor includes a third related sensor that is different from the detection sensor location and belongs to a second sensor location through which the second process passes, and that measures the second process. Device.
The support device according to claim 5, wherein the second sensor part is either one step before or one step after the second process in the process order with respect to the detection sensor part.
Further comprising a display unit that displays measurement information of at least some of the related sensors,
The support device according to claim 1, wherein the measurement information is information that associates a measurement time of the measurement value with a measurement value.
The support device according to claim 7, wherein the measurement information includes a time series graph in which the measurement time on the horizontal axis is associated with the measurement value on the vertical axis.
It further includes an operation reception unit that receives operations from the user,
The support device according to claim 8, wherein the display unit changes the display range of the horizontal axis of the time series graph based on the operation received by the operation reception unit.
further comprising a selection reception unit that accepts a selection from a user regarding at least one of the type of sensor, the type of process, and the position of the sensor part,
The support device according to any one of claims 7 to 9, wherein the display unit selects and displays the measurement information based on the selection received by the selection reception unit.
A method for supporting plant operation, the method comprising:
an abnormality detection step of detecting a sensor indicating an abnormality based on sensor data detected by a plurality of sensors provided in the plant;
a plurality of sensor sites to which each sensor belongs and indicates a component of the plant; a process that passes through the plurality of sensor sites and is measured by a sensor belonging to each of the plurality of sensor sites; a storing step of storing sensor association information associated with a process order of passing through the sensor site;
With reference to the sensor relationship information stored in the storage step, a relationship is recognized in at least one of the sensor site, the process, and the process order with respect to the detection sensor detected in the abnormality detection step. a related information identification step of identifying information about the related sensor;
How we can help, including:
A program to support plant operation,
to the computer,
Abnormality detection means for detecting a sensor indicating an abnormality based on sensor data detected by a plurality of sensors installed in the plant;
a plurality of sensor sites to which each sensor belongs and indicates a component of the plant; a process that passes through the plurality of sensor sites and is measured by a sensor belonging to each of the plurality of sensor sites; A storage means for storing sensor related information associated with a process order of passing through the sensor site;
With reference to the sensor relevance information stored by the storage means, a relationship is recognized in at least one of the sensor part, the process, and the process order with respect to the detection sensor detected by the abnormality detection means. a related information specifying means for specifying information regarding the related sensor;
A support program that functions as a