WO2019229916A1 - Dispositif de surveillance d'état, procédé de surveillance d'état et programme de surveillance d'état - Google Patents

Dispositif de surveillance d'état, procédé de surveillance d'état et programme de surveillance d'état Download PDF

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Publication number
WO2019229916A1
WO2019229916A1 PCT/JP2018/020886 JP2018020886W WO2019229916A1 WO 2019229916 A1 WO2019229916 A1 WO 2019229916A1 JP 2018020886 W JP2018020886 W JP 2018020886W WO 2019229916 A1 WO2019229916 A1 WO 2019229916A1
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WIPO (PCT)
Prior art keywords
state
information
component
event
model
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PCT/JP2018/020886
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English (en)
Japanese (ja)
Inventor
昭宏 馬場
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三菱電機株式会社
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Priority to PCT/JP2018/020886 priority Critical patent/WO2019229916A1/fr
Publication of WO2019229916A1 publication Critical patent/WO2019229916A1/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 state monitoring device, a state monitoring method, and a state monitoring program.
  • the communication unit of the image generation apparatus receives the operation information of the components in the facility.
  • the storage unit of the image generation device associates image data in which display symbols representing constituent elements and display hierarchies are associated with each other, and upper display symbols associated with upper display hierarchies are associated with lower display hierarchies.
  • the lower display symbols are stored so as to be aggregated.
  • the control unit of the image generation device reads the image data of the designated display hierarchy from the storage unit, and based on the read image data and the operation information of the component received by the communication unit, the display symbol and the operation A display image associated with information is generated.
  • the first cause is that a set of components having a hierarchical structure must be individually added or deleted.
  • the second cause is that the same combination of conditions appearing at a plurality of locations must be individually defined.
  • the third cause is that a combination of sensor values and conditions of components must be defined for each display mode.
  • the object of the present invention is to facilitate the correction on the monitoring side accompanying the change of the component to be monitored existing in the system.
  • a state monitoring apparatus Corresponding to a plurality of conditional expression information defining a formula for calculating a true / false value using a sensor value and each of the multiple conditional expression information, each of the expressions defined in the corresponding conditional expression information Multiple event information that represents an event determined to have occurred when the calculated value is true, and is set for each component included in the monitored system, each corresponding to at least one of the multiple event information And a structural model storage unit that stores a structural model including a plurality of pieces of component information that defines a condition for determining the state of the component based on whether or not an event represented by the corresponding event information has occurred, A sensor value at a certain time is acquired, and the state of the component is determined for each component included in the system according to the acquired sensor value and the structural model stored in the structural model storage unit, and the time and A state model creating unit that creates a state model representing the determined state.
  • a plurality of pieces of conditional expression information, a plurality of pieces of event information corresponding to each of the plurality of pieces of conditional expression information, and a plurality of pieces of conditional expression information are set for each component included in the monitored system.
  • the state of the constituent element at an arbitrary time is determined according to a structural model including a plurality of constituent element information corresponding to at least one of the event information. Therefore, it is possible to cope with changes in the constituent elements simply by editing the information included in the structural model or the corresponding relationship. That is, according to the present invention, it is easy to modify the monitoring side in accordance with the change of the monitoring target component existing in the system.
  • FIG. 1 is a block diagram showing a configuration of a state monitoring device according to Embodiment 1.
  • FIG. 3 is a diagram illustrating an example of a structural model according to the first embodiment.
  • Legend of FIG. 5 is a flowchart showing an operation of the state monitoring apparatus according to the first embodiment.
  • FIG. 3 is a diagram illustrating an example of a state model according to the first embodiment.
  • Legend of FIG. FIG. 6 is a diagram illustrating an example of a structural model according to Embodiment 2.
  • 6 is a flowchart showing the operation of the state monitoring apparatus according to the second embodiment.
  • 6 is a flowchart showing the operation of the state monitoring apparatus according to the second embodiment.
  • 6 is a flowchart showing the operation of the state monitoring apparatus according to the second embodiment.
  • FIG. 6 is a diagram illustrating an example of a state model according to the second embodiment.
  • FIG. 4 is a block diagram showing a configuration of a state monitoring device according to a third embodiment.
  • FIG. 10 is a diagram illustrating an example of a structural model according to Embodiment 3; 10 is a flowchart showing the operation of the state monitoring apparatus according to the third embodiment. 10 is a flowchart showing the operation of the state monitoring apparatus according to the third embodiment.
  • FIG. 6 shows an example of a display model according to Embodiment 3.
  • FIG. 6 shows an example of a display model according to Embodiment 3.
  • FIG. 6 shows an example of a display model according to Embodiment 3.
  • FIG. 6 shows an example of a display model according to Embodiment 3.
  • FIG. 10 is a diagram illustrating an example of a structural model according to Embodiment 3;
  • FIG. 6 shows an example of a display model according to Embodiment 3.
  • Embodiment 1 FIG. This embodiment will be described with reference to FIGS.
  • the state monitoring device 10 is a computer.
  • the state monitoring apparatus 10 includes a processor 11 and other hardware such as a memory 12, a storage 13, and a communication interface 14.
  • the processor 11 is connected to other hardware via a signal line, and controls these other hardware.
  • the state monitoring device 10 includes a structural model storage unit 41, an input unit 42, a state model creation unit 43, a control unit 44, and a display unit 45 as functional elements.
  • the function of the structural model storage unit 41 is realized by the storage 13.
  • the functions of the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 are realized by software.
  • the functions of the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 are realized by a state monitoring program.
  • the state monitoring program is a program that causes the computer to execute the processing performed by the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 as input processing, state model creation processing, control processing, and display processing, respectively.
  • the state monitoring program may be provided by being recorded on a computer-readable medium, may be provided by being stored in a recording medium, or may be provided as a program product.
  • the processor 11 is a device that executes a state monitoring program.
  • the processor 11 is, for example, a CPU, a GPU, or a combination thereof.
  • CPU is an abbreviation for Central Processing Unit.
  • GPU is an abbreviation for Graphics Processing Unit.
  • the memory 12 and the storage 13 are devices for storing a state monitoring program.
  • the memory 12 is, for example, a RAM, a flash memory, or a combination thereof.
  • RAM is an abbreviation for Random Access Memory.
  • the RAM is, for example, SRAM or DRAM.
  • SRAM is an abbreviation for Static Random Access Memory.
  • DRAM is an abbreviation for Dynamic Random Access Memory.
  • the storage 13 is, for example, an HDD, an SSD, or a combination thereof.
  • “HDD” is an abbreviation for Hard Disk Drive.
  • SSD is an abbreviation for Solid State Drive.
  • the storage 13 may be a portable storage medium such as an SD (registered trademark) memory card, a CF, a NAND flash, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, or a DVD.
  • SD is an abbreviation for Secure Digital.
  • CF is an abbreviation for CompactFlash (registered trademark).
  • DVD is an abbreviation for Digital Versatile Disc.
  • the communication interface 14 is an interface for communicating with an external device such as the component 20 and the display device 30 included in the monitored system.
  • the communication interface 14 is an interface for receiving data input to the state monitoring program and transmitting data output from the state monitoring program.
  • the communication interface 14 is, for example, an Ethernet (registered trademark), USB, or HDMI (registered trademark) port.
  • USB is an abbreviation for Universal Serial Bus.
  • HDMI is an abbreviation for High-Definition Multimedia Interface.
  • the state monitoring program is loaded from the storage 13 to the memory 12, read into the processor 11, and executed by the processor 11.
  • the storage 13 stores not only the state monitoring program but also the OS. “OS” is an abbreviation for Operating System.
  • the processor 11 executes the state monitoring program while executing the OS. A part or all of the state monitoring program may be incorporated in the OS.
  • the state monitoring device 10 may include a plurality of processors that replace the processor 11.
  • the plurality of processors share the execution of the state monitoring program.
  • Each processor is, for example, a CPU, a GPU, or a combination thereof.
  • Data, information, signal values, and variable values used, processed, or output by the state monitoring program are stored in the memory 12, the storage 13, or a register or cache memory in the processor 11.
  • the state monitoring device 10 may be composed of a single computer or a plurality of computers.
  • the functions of the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 may be distributed and realized in each computer.
  • the component 20 is an object that exists in the system and is monitored using the state monitoring device 10.
  • the component 20 is, for example, equipment such as a pump and a valve of a water purification plant, parts such as a stator and a rotor of a generator, or a train on a route.
  • the display device 30 is a device that displays data transmitted from the state monitoring device 10.
  • the display device 30 is, for example, an LCD.
  • LCD is an abbreviation for Liquid Crystal Display.
  • the structural model 51 stored in the structural model storage unit 41 will be described with reference to FIGS.
  • the structural model 51 includes sensor information, conditional expression information, event information, and component information.
  • the sensor information is information necessary for acquiring a sensor value.
  • the conditional expression information is information defining an expression for calculating a true / false value using one or more sensor values.
  • the event information is information representing an event that has the corresponding conditional expression information and is determined to have occurred when the condition represented by the corresponding conditional expression information becomes true.
  • the component information represents the component 20 to be monitored, event information of one or more events that can occur in the component 20 to be monitored, and sensors of one or more sensors related to the component 20 to be monitored. Information having a conditional expression for determining the state of the component 20 to be monitored based on whether or not an event represented by the corresponding event information has occurred.
  • FIG. 2 is a schematic diagram showing an example of a structural model 51 in which a generator is monitored.
  • the generator has a “stator” and a “rotor” as components 20.
  • the component “stator” has “temperature” and “discharge amount” as sensors. In the component “stator”, events of “temperature abnormality” and “large discharge amount” occur. The component “stator” is normal when the event “temperature abnormality” does not occur and the event “large discharge amount” does not occur.
  • the event “temperature abnormality” is defined by a conditional expression that is true when the value obtained by the sensor “temperature” is greater than 300.
  • the event “large discharge amount” is defined by a conditional expression that is true when the value obtained by the sensor “discharge amount” is larger than 4.
  • the component “rotor” has “vibration” as a sensor.
  • an event of “large vibration” occurs.
  • the component “rotor” is normal when the event “large vibration” does not occur.
  • the event “large vibration” is defined by a conditional expression that is true when the value obtained by the sensor “vibration” is greater than 130.
  • the structural model 51 stored in the structural model storage unit 41 includes a plurality of pieces of conditional expression information, a plurality of pieces of event information, and a plurality of pieces of component element information.
  • the multiple conditional expression information is information that defines an expression for calculating a true / false value using a sensor value.
  • conditional expression information that defines an expression “temperature> 300” using a temperature sensor value, and conditional expression information that defines an expression “discharge amount> 4” using a temperature sensor value; And conditional expression information that defines an expression “vibration> 130” using the sensor value of vibration.
  • the multiple event information corresponds to any of the multiple conditional expression information, and represents the event that is judged to have occurred when the calculated value of the expression defined in the corresponding conditional expression information is true It is.
  • event information indicating an event of “temperature abnormality” that is determined to occur when “temperature> 300” is true, and event information that is generated when “discharge amount> 4” is true.
  • Event information representing an event of “large discharge amount” and event information representing an event of “vibration large” judged to have occurred when “vibration> 130” is true.
  • Plural pieces of constituent element information are set for each constituent element 20 included in the monitored system, each corresponding to at least one of the plural pieces of event information, and whether or not an event represented in the corresponding event information has occurred
  • the structural model 51 includes a plurality of pieces of sensor information.
  • the plurality of pieces of conditional expression information is information that defines one or more pieces of sensor information and defines an expression for calculating a true / false value using a sensor value obtained based on the corresponding sensor information.
  • the plurality of pieces of sensor information are information for obtaining sensor values for at least one of the constituent elements 20 included in the system.
  • sensor information for obtaining a sensor value for the temperature of the stator included in the generator sensor information for obtaining a sensor value for the discharge amount of the stator, and a rotor included in the generator.
  • Sensor information for obtaining the sensor value of the vibration is information for obtaining the sensor value of the vibration.
  • the input unit 42 acquires in the state monitoring device 10 a sensor value that is a value at a specific time of an attribute related to the component 20 to be monitored.
  • the sensor value is, for example, a valve opening or a stator temperature.
  • these sensor values are values measured in real time by a sensor physically attached to the component 20 to be monitored, but the values measured by human eyes are stored electronically in a database. You may have done.
  • the input unit 42 is, for example, a JDBC (registered trademark) API.
  • JDBC is an abbreviation for Java (registered trademark) Database Connectivity.
  • API is an abbreviation for Application Programming Interface.
  • the state model creation unit 43 acquires sensor values using the input unit 42 according to the structure model 51, and logically represents the state of the system determined by the occurrence of an event in the monitoring target component 20 at a specific time.
  • a state model 52 is created.
  • the display unit 45 records the state of the system in data that can be displayed by the display device 30.
  • the data that can be displayed is, for example, data that represents the state of each component 20 of the system as a character string such as “normal” or “abnormal”.
  • the control unit 44 controls the operation of the entire state monitoring device 10 using the state model creation unit 43 and the display unit 45.
  • step S100 the state model creation unit 43 starts creating the state model 52.
  • step S ⁇ b> 101 the state model creation unit 43 determines whether the states of all the components of the structural model 51 have been determined.
  • step S101 is NO
  • the state model creation unit 43 selects one component 20 from the structural model 51 in step S102.
  • the method of selecting the component 20 in step S102 is arbitrary.
  • the names of the components 20 are in dictionary order.
  • step S103 the state model creation unit 43 determines whether all sensor values of the component 20 have been acquired for the component 20 selected in step S102.
  • step S104 the state model creation unit 43 selects one sensor.
  • the method for selecting the sensor in step S104 is arbitrary, and as an example, the sensor name is in dictionary order.
  • step S105 the state model creation unit 43 acquires the sensor value and returns to step S103.
  • step S103 the state model creation unit 43 determines whether the states of all the events of the component 20 have been determined.
  • step S106 NO, in step S107, the state model creation unit 43 selects one event.
  • the method of selecting an event in step S107 is arbitrary, and as an example, the event name is in dictionary order.
  • step S108 the state model creation unit 43 determines the state of the event by evaluating the event conditional expression for the event selected in step S107, and returns to step S106.
  • step S109 the state model creation unit 43 determines the state of the component 20 by evaluating the conditional expression of the component 20, and returns to step S101.
  • step S110 the state model creation unit 43 ends the creation of the state model 52.
  • the state model 52 created by the state model creation unit 43 will be described with reference to FIGS.
  • FIG. 5 shows the state model 52 at the time “2018/03/28 17:00” created according to the structural model 51 shown in FIG.
  • the value of the sensor “temperature” of the component “stator” is 308, and the value of the sensor “discharge amount” is 0.3.
  • the event “abnormal temperature” occurs, and the event “large discharge amount” does not occur. Therefore, the component “stator” is abnormal.
  • the value of the sensor “vibration” of the component “rotor” is 61.
  • the event “large vibration” does not occur. Therefore, the component “rotor” is normal.
  • the state model 52 is described in the JSON format, but may be described in a format other than JSON, such as XML, or may be stored in a database.
  • JSON is an abbreviation for JavaScript (registered trademark) Object Notation.
  • XML is an abbreviation for Extensible Markup Language.
  • the state model creation unit 43 acquires a sensor value at a certain time, and in accordance with the acquired sensor value and the structural model 51 stored in the structural model storage unit 41, For each component 20 included in the system, the state of the component 20 is determined and a state model 52 is created.
  • the state model 52 represents, for each component 20, the time, the state determined by the state model creation unit 43, and the occurrence of an event represented in the event information corresponding to the component information of the component 20. It is a model. Note that whether or not an event has occurred may be omitted.
  • a plurality of pieces of conditional expression information, a plurality of pieces of event information corresponding to any of the plurality of pieces of conditional expression information, respectively, are set for each component 20 included in the monitored system,
  • the state of the component 20 at an arbitrary time is determined according to the structure model 51 including a plurality of pieces of component information corresponding to at least one of the plurality of pieces of event information. Therefore, it is possible to cope with a change in the component 20 only by editing the information included in the structural model 51 or the corresponding relationship. That is, according to the present embodiment, correction on the monitoring side accompanying change of the monitoring target component 20 existing in the system is easy.
  • the structural model 51 has event information representing an event that has a corresponding conditional expression and that is determined to occur when the condition represented by the corresponding conditional expression becomes true. . Therefore, once a combination of conditional expressions is defined, it can be reused at a plurality of locations in the structural model 51, and it becomes easy to construct a new state monitoring device 10 and to correct the state monitoring device 10 due to a change in the system to be monitored.
  • the functions of the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 are realized by software.
  • the input unit 42, the state model creation unit 43, and the control unit 44 are used.
  • the function of the display unit 45 may be realized by a combination of software and hardware. That is, some of the functions of the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 may be realized by dedicated hardware, and the rest may be realized by software.
  • the dedicated hardware is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, a logic IC, a GA, an FPGA, an ASIC, or some or all of these.
  • IC is an abbreviation for Integrated Circuit.
  • GA is an abbreviation for Gate Array.
  • FPGA is an abbreviation for Field-Programmable Gate Array.
  • ASIC is an abbreviation for Application Specific Integrated Circuit.
  • Both the processor 11 and the dedicated hardware are processing circuits. That is, regardless of whether the functions of the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 are realized by software or a combination of software and hardware, the input unit 42, the state Operations of the model creation unit 43, the control unit 44, and the display unit 45 are performed by a processing circuit.
  • the functions of the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 may be realized using calculation resources provided via a network such as a cloud.
  • Embodiment 2 FIG. In the present embodiment, differences from the first embodiment will be mainly described with reference to FIGS.
  • a state model 52 is created using a structure model 51 composed of sensor information, conditional expression information, event information, and component information, and sensor values.
  • event information and component element information have a hierarchical structure.
  • the structural model 51 stored in the structural model storage unit 41 will be described with reference to FIG.
  • the point that the structural model 51 is composed of sensor information, conditional expression information, event information, and component information is the same as in the first embodiment, but the following two points are different from the first embodiment.
  • the first point is that the event information has zero or more event information as a child in addition to the event information in the first embodiment, that is, the event information has a hierarchical structure.
  • the second point is that the constituent element information has zero or more constituent element information as a child in addition to the constituent element information in the first embodiment, that is, the constituent element information has a hierarchical structure.
  • FIG. 7 is a schematic diagram showing an example of a structural model 51 in which a generator is monitored.
  • the component “generator” has a “stator” and a “rotor” as child components.
  • the component “generator” is normal when the “stator” is normal and the “rotor” is normal.
  • the component “stator” has “temperature rise” as a sensor in addition to “temperature” and “discharge amount”. In the component “stator”, events of “temperature abnormality” and “large discharge amount” occur. The component “stator” is normal when the event “temperature abnormality” does not occur and the event “large discharge amount” does not occur.
  • the event “temperature abnormality” has “high temperature” and “high temperature rise” as child events.
  • the event “high temperature” is defined by a conditional expression that is true when the value obtained by the sensor “temperature” is greater than 300.
  • the event “high temperature rise” is defined by a conditional expression that is true when the value obtained by the sensor “temperature rise” is greater than 10.
  • the event “large discharge amount” is defined by a conditional expression that is true when the value obtained by the sensor “discharge amount” is larger than 4.
  • the component “rotor” is the same as the example in FIG.
  • a plurality of pieces of component element information included in the structural model 51 stored in the structural model storage unit 41 has a hierarchical structure.
  • the component information of a parent component having a child component is information that defines a condition for determining the state of the parent component based on the state of the child component.
  • the generator is determined to be normal when the stator is normal and the rotor is normal based on the component information of the generator including the stator and the rotor. .
  • a plurality of pieces of event information included in the structural model 51 stored in the structural model storage unit 41 has a hierarchical structure.
  • the event information of a parent event having a child event is information that defines a condition for determining whether or not the parent event has occurred depending on whether or not the child event has occurred.
  • event information indicating an event of “temperature abnormality” that is determined not to occur when “temperature high” does not occur and “temperature increase” does not occur.
  • step S200 to step S204 is the main process.
  • step S200 the state model creation unit 43 starts creating the state model 52.
  • step S ⁇ b> 201 the state model creation unit 43 determines whether or not the state of all the highest levels of the structural model 51, i.e., the components 20 having no parent have been determined.
  • step S201 NO
  • step S202 the state model creation unit 43 selects one uppermost component 20 from the structural model 51.
  • step S203 the state model creation unit 43 determines the state of the component 20 for the highest-order component 20 selected in step S202, and returns to step S201.
  • step S201 is YES
  • step S204 the state model creation unit 43 ends the creation of the state model 52.
  • step S203 The details of the processing of step S203 and step S214 described later are the processing of step S210 to step S222.
  • step S210 the state model creation unit 43 starts determining the state of the component 20.
  • step S211 the state model creation unit 43 determines whether the component 20 has a child component.
  • step S212 the state model creation unit 43 determines whether or not the states of all child constituent elements of the constituent element 20 have been determined.
  • step S212 is NO, in step S213, the state model creation unit 43 selects one child component.
  • step S214 the state model creation unit 43 determines the state of the child component for the child component selected in step S213, and returns to step S212.
  • step S211 is NO
  • step S215 the state model creation unit 43 determines whether all sensor values of the component 20 have been acquired.
  • step S215 when step S215 is NO, in step S216, the state model creation unit 43 selects one sensor. In step S217, the state model creation unit 43 acquires sensor values for the sensor selected in step S216, and returns to step S215.
  • step S215 is YES, in step S218, the state model creation unit 43 determines whether the states of all the events of the component 20 have been determined.
  • step S218 is NO, in step S219, the state model creation unit 43 selects one event.
  • step S220 the state model creation unit 43 determines the state of the event for the event selected in step S219, and returns to step S218.
  • step S212 is YES or step S218 is YES
  • the state model creation unit 43 evaluates the conditional expression of the component 20 in step S221.
  • step S ⁇ b> 222 the state model creation unit 43 ends the determination of the state of the component 20.
  • step S220 and step S234 described later are the processing of step S230 to step S236.
  • step S230 the state model creation unit 43 starts event state determination.
  • step S231 the state model creation unit 43 determines whether the event has a child event.
  • step S231 the state model creation unit 43 determines whether the states of all child events of the event have been determined.
  • step S232 the state model creation unit 43 selects one child event.
  • step S234 the state model creation unit 43 determines the state of the child event for the child event selected in step S233, and returns to step S232.
  • step S231 is NO or when step S232 is YES
  • step S235 the state model creation unit 43 evaluates the conditional expression of the event.
  • step S236 the state model creation unit 43 ends the event state determination.
  • the state model 52 created by the state model creation unit 43 will be described with reference to FIG.
  • FIG. 11 shows a state model 52 at time “2018/03/29 16:00: 00” created according to the structural model 51 shown in FIG.
  • the value of the sensor “temperature” of the child component “stator” of the component “generator” is 308, the value of the sensor “temperature rise” is 2, and the value of the sensor “discharge amount” is 0. 3.
  • the child event “high temperature” of the event “temperature abnormality” occurs, and the child event “high temperature rise” does not occur. Therefore, the event “temperature abnormality” does not occur.
  • the event “large discharge amount” does not occur. Therefore, the component “stator” is normal.
  • the value of the sensor “vibration” of the component “rotor” is 61. The event “large vibration” does not occur. Therefore, the component “rotor” is normal. Therefore, the component “generator” is normal.
  • the component 20 has a hierarchical structure. Therefore, the structural model 51 can be defined in units of higher-order components 20 composed of a plurality of components 20 like a plant composed of a plurality of devices. Therefore, once the upper component 20 is defined, it can be reused at a plurality of locations in the structural model 51, and it becomes easy to newly construct the state monitoring device 10 and to correct the state monitoring device 10 due to the change of the monitored system. .
  • events have a hierarchical structure. Therefore, once an event that abstracts a plurality of specific events or a complex event in which a plurality of events occur simultaneously is defined once, it can be reused at a plurality of locations in the structural model 51, and a new construction and monitoring of the state monitoring device 10 can be performed. It becomes easy to correct the state monitoring apparatus 10 accompanying the change of the target system.
  • Embodiment 3 FIG. In the present embodiment, differences from the second embodiment will be mainly described with reference to FIGS.
  • event information and component information have a hierarchical structure in a structure model 51 composed of sensor information, conditional expression information, event information, and component information, and the structure model 51 and sensor values are used.
  • a state model 52 is created.
  • the structural model 51 has information for visualizing the monitoring target component 20, the information indicating the state of the monitoring target component 20 included in the state model 52 and the monitoring target included in the structural model 51.
  • a three-dimensional or two-dimensional symbol is created using information necessary to visualize the component 20.
  • the state monitoring apparatus 10 includes a display model creation unit 46 in addition to the structural model storage unit 41, the input unit 42, the state model creation unit 43, the control unit 44, and the display unit 45 as functional elements.
  • the function of the structural model storage unit 41 is realized by the storage 13.
  • the functions of the input unit 42, state model creation unit 43, control unit 44, display unit 45, and display model creation unit 46 are realized by software. Specifically, the functions of the input unit 42, the state model creation unit 43, the control unit 44, the display unit 45, and the display model creation unit 46 are realized by a state monitoring program.
  • the state monitoring program performs the processing performed by the input unit 42, the state model creation unit 43, the control unit 44, the display unit 45, and the display model creation unit 46, respectively, as input processing, state model creation processing, control processing, display processing, and display model.
  • the structural model 51 stored in the structural model storage unit 41 will be described with reference to FIG.
  • the structural model 51 is composed of sensor information, conditional expression information, event information, and component element information is the same as in the second embodiment, but the component element information is used to visualize the component 20 to be monitored.
  • the difference from Embodiment 2 is that it has necessary information.
  • the information necessary for visualization is information on the appearance of the component 20 alone.
  • the information necessary for visualization is a three-dimensional object including a mesh.
  • information necessary for visualization is information on how to combine these child components.
  • the information necessary for visualization is a matrix representing the presence / absence of scaling, rotation, and translation for each child component.
  • the format need not be particularly limited, but as an example, it is glTF which is a format of a three-dimensional model. “GlTF” is an abbreviation for graphics library Transmission Format.
  • FIG. 13 is a schematic diagram showing an example of a structural model 51 in which a generator is monitored.
  • the components “stator” and “rotor” that do not have child components each have different appearance information depending on whether the state is “normal” or “abnormal”. ing.
  • the component “generator” has the information necessary for visualization that combines the components “stator” and “rotor” without scaling, without rotation, and without translation.
  • the operation of the state model creation unit 43 creating the state model 52 is the same as that of the second embodiment shown in FIGS.
  • step S300 to step S304 is the main process.
  • step S300 the display model creation unit 46 starts creating the display model 53.
  • step S ⁇ b> 301 the display model creation unit 46 determines whether or not all the top models of the state model 52, that is, the display models 53 of the component 20 having no parent have been created.
  • step S301 is NO
  • step S302 the display model creation unit 46 selects one top-level component 20 from the state model 52.
  • step S303 the display model creation unit 46 creates the display model 53 of the component 20 for the highest-order component 20 selected in step S302, and returns to step S301.
  • step S304 the display model creation unit 46 finishes creating the display model 53.
  • step S303 and step S314 Details of the processing of step S303 and step S314 described later are the processing of step S310 to step S318.
  • step S310 the display model creation unit 46 starts creating the display model 53 of the component 20.
  • step S ⁇ b> 311 the display model creation unit 46 determines whether the component 20 has a child component. If step S311 is YES, in step S312, the display model creation unit 46 determines whether or not the display models 53 of all the child constituent elements of the constituent element 20 have been created. When step S312 is NO, in step S313, the display model creation unit 46 selects one child component. In step S314, the display model creation unit 46 creates the child component display model 53 for the child component selected in step S313, and returns to step S312.
  • step S312 When step S312 is YES, in step S315, the display model creation unit 46 obtains information on how to combine child constituent elements of the constituent element 20 from the structural model 51. In step S316, the display model creation unit 46 combines the display models 53 of all the child components based on the information acquired in step S315. In step S317, the display model creation unit 46 finishes creating the display model 53 of the component 20.
  • step S311 is NO
  • step S318 the display model creation unit 46 acquires the appearance information of the component 20 from the structural model 51 as the display model 53. In step S317, the display model creation unit 46 finishes creating the display model 53 of the component 20.
  • the display model 53 created by the display model creation unit 46 will be described with reference to FIGS.
  • FIGS. 16 to 19 show examples in which a display model 53 in which the state of the system is displayed as a three-dimensional symbol is visualized by the display unit 45.
  • FIG. FIGS. 16 to 19 show the component “generator” created by combining the appearances of the component “stator” and the component “rotor” without scaling, without rotation, and without translation. ”Represents a display model 53.
  • stator part and the rotor part of the component “generator” are both in the “normal” state.
  • stator portion of the component “generator” is in an “abnormal” state, and the rotor portion is in a “normal” state.
  • stator portion of the component “generator” is in a “normal” state, and the rotor portion is in an “abnormal” state.
  • stator portion and the rotor portion of the component “generator” are both “abnormal”.
  • FIG. 20 corresponds to FIG. 13 and is a schematic diagram showing an example of a part of the structural model 51 in which the generator is monitored.
  • the state of the system is displayed as a two-dimensional symbol.
  • the appearance of the component “stator” having no child component is defined according to whether the state is “normal” or “abnormal” in the example of FIG. 13, but in the example of FIG.
  • the combinations of events that occur are defined according to whether they are “normal”, “temperature abnormality”, “large discharge amount”, and “temperature abnormality and large discharge amount”, and have four types of appearance.
  • the appearance of the “rotor” is defined according to whether the state is “normal” or “abnormal” as in the example of FIG.
  • the component “generator” moves the component “stator” by ⁇ 30 in the vertical direction and moves the component “rotor” by 30 in the vertical direction, thereby arranging these two child components vertically. Have the information to combine.
  • FIG. 21 corresponds to FIG. 19 and shows an example in which a display model 53 in which the state of the system is displayed with a two-dimensional symbol is visualized by the display unit 45.
  • stator portion of the component “generator” is in the “temperature abnormal and large discharge amount” state, and the rotor portion is in “abnormal” state.
  • the display model creation unit 46 determines the state of the component 20 represented by the state model 52 created by the state model creation unit 43 for each component 20 included in the system.
  • a display model 53 that represents the appearance of the component 20 in a different manner of appearance is created.
  • the display model creation unit 46 displays, for each component 20 included in the system as the display model 53, the state and event of the component 20 represented by the state model 52 created by the state model creation unit 43.
  • a model is created that represents the appearance of the component 20 with different appearance depending on the combination of the occurrence and non-occurrence of
  • the display unit 45 may display the display model 53 created by the display model creation unit 46 on the display device 30 using a three-dimensional symbol, or may display the display model 30 on the display device 30 using a two-dimensional symbol.
  • the structural model 51 has information for visualizing the monitoring target component 20, the information indicating the state of the monitoring target component 20 included in the state model 52 and the monitoring target included in the structural model 51.
  • the display model 53 is created using information necessary for visualizing the component 20. Therefore, a single state model 52 can be visualized by a plurality of methods, and a new construction of the state monitoring device 10 and a modification of the state monitoring device 10 accompanying a change in the system to be monitored are facilitated.
  • the functions of the input unit 42, the state model creation unit 43, the control unit 44, the display unit 45, and the display model creation unit 46 are realized by software.
  • the functions of the input unit 42, the state model creation unit 43, the control unit 44, the display unit 45, and the display model creation unit 46 may be realized by a combination of software and hardware.
  • 10 state monitoring device 11 processor, 12 memory, 13 storage, 14 communication interface, 20 component, 30 display device, 41 structural model storage unit, 42 input unit, 43 state model creation unit, 44 control unit, 45 display unit, 46 display model creation unit, 51 structural model, 52 state model, 53 display model.

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

Abstract

Dans la présente invention, un modèle structurel comprend : une pluralité d'éléments d'informations d'expression conditionnelle ; une pluralité d'éléments d'informations d'événement ; et une pluralité d'éléments d'informations d'élément constitutif. La pluralité d'éléments d'informations d'expression conditionnelle définit des expressions qui calculent une valeur booléenne à l'aide d'une valeur de capteur. La pluralité d'informations d'événement correspond respectivement à la pluralité d'éléments d'informations d'expression conditionnelle, et représente un événement qui est déterminé comme s'étant produit lorsque la valeur calculée de l'expression définie dans les informations d'expression conditionnelle correspondante est juste. La pluralité d'éléments d'informations d'élément constitutif est définie pour des éléments constitutifs respectifs (20) et chaque élément correspond à au moins un élément de la pluralité d'éléments d'informations d'événement et définit une condition qui détermine l'état de l'élément constitutif (20) selon que l'événement représenté par l'élément d'informations d'événement correspondant s'est produit. Une unité de création de modèle d'état (43) d'un dispositif de surveillance d'état (10) crée, selon une valeur de capteur à un certain instant et le modèle structurel, un modèle d'état représentant l'instant et l'état pour chaque élément constitutif (20).
PCT/JP2018/020886 2018-05-31 2018-05-31 Dispositif de surveillance d'état, procédé de surveillance d'état et programme de surveillance d'état WO2019229916A1 (fr)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07152984A (ja) * 1993-11-30 1995-06-16 Mitsubishi Electric Corp プラント監視方法および装置
JPH07320174A (ja) * 1994-05-23 1995-12-08 Mitsubishi Electric Corp 警報表示装置
JP2000259220A (ja) * 1999-03-10 2000-09-22 Toshiba Corp 監視装置
JP2008097424A (ja) * 2006-10-13 2008-04-24 Mitsubishi Electric Corp エンジニアリングツール
JP2015049679A (ja) * 2013-08-30 2015-03-16 株式会社東芝 画像生成装置、画像生成システム及び画像生成方法
JP2015176400A (ja) * 2014-03-17 2015-10-05 三菱電機株式会社 監視制御装置
WO2016147726A1 (fr) * 2015-03-16 2016-09-22 株式会社日立製作所 Système d'assistance à la prédiction/récupération d'anomalies, procédé d'assistance à la prédiction/récupération d'anomalies, et système de traitement de l'eau
JP2016170560A (ja) * 2015-03-12 2016-09-23 三菱電機株式会社 監視制御システム

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07152984A (ja) * 1993-11-30 1995-06-16 Mitsubishi Electric Corp プラント監視方法および装置
JPH07320174A (ja) * 1994-05-23 1995-12-08 Mitsubishi Electric Corp 警報表示装置
JP2000259220A (ja) * 1999-03-10 2000-09-22 Toshiba Corp 監視装置
JP2008097424A (ja) * 2006-10-13 2008-04-24 Mitsubishi Electric Corp エンジニアリングツール
JP2015049679A (ja) * 2013-08-30 2015-03-16 株式会社東芝 画像生成装置、画像生成システム及び画像生成方法
JP2015176400A (ja) * 2014-03-17 2015-10-05 三菱電機株式会社 監視制御装置
JP2016170560A (ja) * 2015-03-12 2016-09-23 三菱電機株式会社 監視制御システム
WO2016147726A1 (fr) * 2015-03-16 2016-09-22 株式会社日立製作所 Système d'assistance à la prédiction/récupération d'anomalies, procédé d'assistance à la prédiction/récupération d'anomalies, et système de traitement de l'eau

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