WO2023190458A1 - Dispositif d'assistance, procédé d'assistance, et programme d'assistance - Google Patents

Dispositif d'assistance, procédé d'assistance, et programme d'assistance Download PDF

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Publication number
WO2023190458A1
WO2023190458A1 PCT/JP2023/012397 JP2023012397W WO2023190458A1 WO 2023190458 A1 WO2023190458 A1 WO 2023190458A1 JP 2023012397 W JP2023012397 W JP 2023012397W WO 2023190458 A1 WO2023190458 A1 WO 2023190458A1
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Prior art keywords
sensor
information
detection
plant
support device
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PCT/JP2023/012397
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English (en)
Japanese (ja)
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英里子 ▲高▼▲崎▼
木乃美 平田
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住友重機械工業株式会社
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Publication of WO2023190458A1 publication Critical patent/WO2023190458A1/fr

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring

Definitions

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • FIG. 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
  • 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
  • FIG. 1 to 5 are diagrams for explaining a support device 10 according to an embodiment of the present invention.
  • FIG. 1 is a diagram showing the configuration of a support device 10 according to an embodiment of the present invention
  • 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.
  • the plant 1 include a power generation plant, an incineration plant, a chemical plant, and the like.
  • arbitrary sensor data is used.
  • the sensor data is, for example, data on process values such as temperature, pressure, air volume, concentration, or components.
  • 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.
  • DCS distributed control system
  • 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.
  • 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.
  • 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.
  • a predetermined program a program specifying the support method according to the present embodiment
  • the support device 10 can function as various functional blocks or various steps described below.
  • the support device 10 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.
  • 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.
  • 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.
  • 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.
  • the sensor site indicates a component of the plant.
  • 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.
  • process ⁇ and process ⁇ 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.
  • sensor A1 in FIG. 3 measures process ⁇ at sensor site A.
  • the senor may be a sensor group, which is a plurality of sensors that perform measurements in the same process at the same sensor site.
  • the sensor A1 can also be said to be a sensor group consisting of the sensors A1a to A1h.
  • multiple sensors may be installed in this manner. For example, if the area where process ⁇ 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.
  • 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.
  • 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.
  • 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.
  • sensors A2a to A2d may be temperature sensors
  • sensors A2e to A2h may be pressure sensors.
  • FIG. 4 is a simplified diagram of FIG.
  • a process order is the order of sensor parts that a certain process passes through.
  • the process order of process ⁇ in FIG. 4 is sensor part A, sensor part B, sensor part C, sensor part D
  • the process order of process ⁇ 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.
  • the process order of sensor part C is in the third stage out of four stages.
  • the fact that the process order is in the previous or next stage means that, for example, sensor part B (second stage in process ⁇ ) is one stage before sensor part C (third stage in process ⁇ ).
  • sensor part D fourth stage in process ⁇ is located one stage later.
  • 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.
  • sensor C1 (r18, c10) belongs to sensor part C (r18, c12) and measures process ⁇ (r18, c14), and the process order in process ⁇ of sensor part C is three stages. You can read that it is an eye (r18, c16).
  • the process ⁇ 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.
  • 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.
  • it may be represented by a data structure other than a table, such as a list format or an XML (Extensible Markup Language) format.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the support device 10 ends its operation.
  • FIGS. 7, 4, and 5 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.
  • 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.
  • 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 ⁇ (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).
  • the identified process ⁇ and sensor site C correspond to the process measured by sensor C1 and the site to which sensor C1 belongs, respectively.
  • 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.
  • the process order is taken into consideration. Specifically, while the process order of sensor part C in process ⁇ is the third stage (r18, c16), the process order of sensor part D in process ⁇ is the fourth stage (r22, c16), which is one stage later. Identify.
  • 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 ⁇ " is identified as a related sensor (S182d).
  • sensor parts located before or after the process order have a higher degree of relevance to the information indicated by the sensors.
  • sensor part C whose process order is the 3rd stage is different from sensor part A (r10, c12) whose process order is the 1st stage.
  • sensor site D r22, c12
  • 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.
  • FIGS. 8, 4, and 5 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.
  • a sensor that belongs to the same sensor site as sensor C1 and measures a different process is identified as a related sensor.
  • 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 ⁇ (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).
  • the identified process ⁇ and sensor site C correspond to the process measured by sensor C1 and the site to which sensor C1 belongs, respectively.
  • the process column c14 is referenced to identify the process ⁇ (r20, c14) which is different from the process ⁇ (S184c).
  • 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 ⁇ " is identified as a related sensor (S184d).
  • a failure location that cannot be determined using only the sensor C1 can be determined by combining information from the identified sensor C2.
  • FIGS. 9, 4, and 5 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.
  • a sensor that belongs to a different sensor site from sensor C1 and measures a different process is identified as a related sensor.
  • 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 ⁇ 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).
  • the identified process ⁇ and sensor site C correspond to the process measured by sensor C1 and the site to which sensor C1 belongs, respectively.
  • the process column c14 is referenced to identify the process ⁇ (r20, c14) that is different from the process ⁇ (S186c).
  • 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.
  • the process order is taken into consideration. Specifically, while the process order of sensor part C in process ⁇ is the third stage (r20, c16), the process order of sensor part A in process ⁇ is the second stage (r12, c16), which is one stage earlier. Identify.
  • 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 ⁇ " is identified as a related sensor (S186e).
  • 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 ⁇ measured by the sensor A2 identified by the above method and the process ⁇ 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.
  • 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).
  • 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.
  • sensor part A (r12, c12) which is in the second stage of the process order, tends to have higher relevance.
  • 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.
  • 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.
  • 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.
  • time series graph area 2308 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 ⁇ at sensor site A, such as sensor A2 in FIG. Eight graphs of 238h may be displayed.
  • 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.
  • sensor C1 which is a detection sensor
  • sensor D1 measures the same process and belongs to a different sensor site
  • 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.
  • 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.
  • a graph representing changes in pressure such as a time series graph 238h, may be displayed at the same time.
  • 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.
  • 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.
  • 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.
  • 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 ⁇ " 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 ⁇ , 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.
  • 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.
  • 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.
  • 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.
  • a support device 10 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.
  • 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.
  • 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.
  • 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 second related sensor that is different from the detection sensor and belongs to the detection sensor site.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the support device 10 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.
  • a support method 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 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.
  • 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.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

L'invention concerne un dispositif d'assistance (10) destiné à venir en assistance au fonctionnement d'une installation, comprenant : une unité de détection d'anomalie (14e) qui détecte, sur la base de données de capteur détectées par une pluralité de capteurs disposés au niveau d'une installation (1), un capteur indiquant une anomalie ; une unité de stockage (18) qui stocke des informations de pertinence de capteur dans lesquelles sont associés une pluralité de sites de capteur affiliés aux capteurs respectifs et représentant des éléments constitutifs de l'installation, un processus dans lequel la pluralité de sites de capteur sont traversés et mesurés par les capteurs respectivement affiliés à la pluralité de sites de capteur, et une séquence de processus pour le processus de traversée de la pluralité de sites de capteur ; et une unité d'identification d'informations de pertinence (14d) qui, en référence aux informations de pertinence de capteur stockées dans l'unité de stockage (18), identifie des informations relatives à un capteur pertinent reconnu comme ayant une pertinence au moins dans les sites de capteur et/ou le processus et/ou la séquence de processus, par rapport à un capteur détecté qui est détecté par l'unité de détection d'anomalie (14e).
PCT/JP2023/012397 2022-03-29 2023-03-28 Dispositif d'assistance, procédé d'assistance, et programme d'assistance WO2023190458A1 (fr)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011145496A1 (fr) * 2010-05-20 2011-11-24 株式会社日立製作所 Dispositif de diagnostic de contrôle et procédé de diagnostic de contrôle
WO2018052015A1 (fr) * 2016-09-14 2018-03-22 日本電気株式会社 Dispositif de support d'analyse pour système, procédé de support d'analyse et programme pour système

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011145496A1 (fr) * 2010-05-20 2011-11-24 株式会社日立製作所 Dispositif de diagnostic de contrôle et procédé de diagnostic de contrôle
WO2018052015A1 (fr) * 2016-09-14 2018-03-22 日本電気株式会社 Dispositif de support d'analyse pour système, procédé de support d'analyse et programme pour système

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