WO2019229916A1

WO2019229916A1 - Status monitoring device, status monitoring method, and status monitoring program

Info

Publication number: WO2019229916A1
Application number: PCT/JP2018/020886
Authority: WO
Inventors: 昭宏馬場
Original assignee: 三菱電機株式会社
Priority date: 2018-05-31
Filing date: 2018-05-31
Publication date: 2019-12-05

Abstract

In the present invention, a structural model includes: a plurality of pieces of conditional expression information; a plurality of pieces of event information; and a plurality of pieces of constituent element information. The plurality of pieces of conditional expression information define expressions which calculate a Boolean value using a sensor value. The plurality of pieces of event information correspond respectively to the plurality of pieces of conditional expression information, and represents an event that is determined to have occurred when the calculated value of the expression defined in the corresponding conditional expression information is true. The plurality of pieces of constituent element information are set for respective constituent elements (20) and each piece corresponds to at least one of the plurality of pieces of event information and defines a condition which determines the status of the constituent element (20) depending on whether the event represented by the corresponding piece of event information has occurred. A status model creation unit (43) of a status monitoring device (10) creates, according to a sensor value at a certain time and the structural model, a status model representing the time and the status for each constituent element (20).

Description

Status monitoring device, status monitoring method, and status monitoring program

The present invention relates to a state monitoring device, a state monitoring method, and a state monitoring program.

In the technique described in Patent Document 1, 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.

Japanese Patent Laying-Open No. 2015-049679

In the conventional technology, there is a problem that the monitoring side device cannot be easily corrected in accordance with the change of the component to be monitored.

In the technique described in Patent Document 1, the following three points are causes of the problem. 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 according to an aspect of the present invention is provided.
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.

In the present invention, 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.

1 is a block diagram showing a configuration of a state monitoring device according to Embodiment 1. FIG. 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.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals. In the description of the embodiments, the description of the same or corresponding parts will be omitted or simplified as appropriate. The present invention is not limited to the embodiments described below, and various modifications can be made as necessary. For example, two or more embodiments among the embodiments described below may be combined and executed. Alternatively, among the embodiments described below, one embodiment or a combination of two or more embodiments may be partially implemented.

Embodiment 1 FIG.
This embodiment will be described with reference to FIGS.

*** Explanation of configuration ***
With reference to FIG. 1, the structure of the state monitoring apparatus 10 which concerns on this Embodiment is demonstrated.

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. Specifically, 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. When the state monitoring apparatus 10 is configured by 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. In the example of FIG. 2, 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. In the component “rotor”, 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.

Thus, in the present embodiment, 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. In the example of FIG. 2, 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. In the example of FIG. 2, it is determined that 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 Is information that defines a condition for determining the state of the component 20. In the example of FIG. 2, it is determined that the stator is normal when “temperature abnormality” does not occur and “large discharge amount” does not occur according to the component information of the stator included in the generator. Is defined, and it is defined by the component information of the rotor included in the generator that the rotor is determined to be normal when “large vibration” does not occur.

In the present embodiment, 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. In the example of FIG. 2, 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.

*** Explanation of operation ***
The operation of the state monitoring apparatus 10 according to this embodiment will be described with reference to FIGS. 4 to 6 in addition to FIGS. The operation of the state monitoring device 10 corresponds to the state monitoring method according to the present embodiment.

First, an outline of the operation will be described.

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. In the present embodiment, 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. When the sensor value is accumulated in the database, 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.

Next, with reference to FIG. 4 in particular, the details of the operation in which the state model creation unit 43 creates the state model 52 will be described.

In step S100, the state model creation unit 43 starts creating the state model 52. In step S 101, the state model creation unit 43 determines whether the states of all the components of the structural model 51 have been determined. When 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. For example, the names of the components 20 are in dictionary order. In 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. When step S103 is NO, in 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. In step S105, the state model creation unit 43 acquires the sensor value and returns to step S103. When step S103 is YES, in step S106, the state model creation unit 43 determines whether the states of all the events of the component 20 have been determined. When step S106 is 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. In 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. When step S106 is YES, in 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. When step S101 is YES, in 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.

In the example of FIG. 5, 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.

In the example of FIG. 5, 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. When the state model 52 is in a text format such as JSON, the display unit 45 may output the state model 52 as it is. However, when the state model 52 is stored in the database, the display unit 45 displays the state model 52. Convert to text format and output.

As described above, in the present embodiment, 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.

*** Explanation of the effect of the embodiment ***
In the present embodiment, 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.

In the present embodiment, 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.

*** Other configurations ***
In the present embodiment, 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. However, as a modification, 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.

In Embodiment 1, 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. In the present embodiment, event information and component element information have a hierarchical structure.

*** Explanation of configuration ***
The configuration of the state monitoring apparatus 10 according to the present embodiment is the same as that of the first embodiment shown in FIG.

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. In the example of FIG. 7, 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.

As described above, in the present embodiment, 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. In the example of FIG. 7, it is defined that 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. .

In the present embodiment, 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. In the example of FIG. 7, there is 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.

*** Explanation of operation ***
In addition to FIG. 7, the operation of the state monitoring apparatus 10 according to the present embodiment will be described with reference to FIGS. 8 to 11. The operation of the state monitoring device 10 corresponds to the state monitoring method according to the present embodiment.

Referring in particular to FIGS. 8 to 10, details of the operation of the state model creation unit 43 creating the state model 52 will be described.

The process from step S200 to step S204 is the main process.

In step S200, the state model creation unit 43 starts creating the state model 52. In step S 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. When step S201 is NO, in step S202, the state model creation unit 43 selects one uppermost component 20 from the structural model 51. In 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. When step S201 is YES, in step S204, the state model creation unit 43 ends the creation of the state model 52.

The details of the processing of step S203 and step S214 described later are the processing of step S210 to step S222.

In step S210, the state model creation unit 43 starts determining the state of the component 20. In step S211, the state model creation unit 43 determines whether the component 20 has a child component. When step S211 is YES, in 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. When step S212 is NO, in step S213, the state model creation unit 43 selects one child component. In 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. When step S211 is NO, in step S215, the state model creation unit 43 determines whether all sensor values of the component 20 have been acquired. 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. When 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. When step S218 is NO, in step S219, the state model creation unit 43 selects one event. In 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. If 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. In step S 222, the state model creation unit 43 ends the determination of the state of the component 20.

Details of the processing of step S220 and step S234 described later are the processing of step S230 to step S236.

In step S230, the state model creation unit 43 starts event state determination. In step S231, the state model creation unit 43 determines whether the event has a child event. When step S231 is YES, in step S232, the state model creation unit 43 determines whether the states of all child events of the event have been determined. When step S232 is NO, in step S233, the state model creation unit 43 selects one child event. In 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. When step S231 is NO or when step S232 is YES, in step S235, the state model creation unit 43 evaluates the conditional expression of the event. In 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.

In the example of FIG. 11, 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.

*** Explanation of the effect of the embodiment ***
In the present embodiment, 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. .

In this embodiment, 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.

In the second embodiment, 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. In the present embodiment, 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.

*** Explanation of configuration ***
With reference to FIG. 12, a configuration of state monitoring apparatus 10 according to the present embodiment will be described.

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. A program to be executed by a computer as a creation process.

The point that 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. When the component 20 has no child component, the information necessary for visualization is information on the appearance of the component 20 alone. As an example, when the component 20 is visualized in three dimensions, the information necessary for visualization is a three-dimensional object including a mesh. When the component 20 has child components, information necessary for visualization is information on how to combine these child components. As an example, when the component 20 is visualized in three dimensions, 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. In the example of FIG. 13, 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.

*** Explanation of operation ***
In addition to FIGS. 12 and 13, the operation of the state monitoring apparatus 10 according to the present embodiment will be described with reference to FIGS. The operation of the state monitoring device 10 corresponds to the state monitoring method according to the present embodiment.

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.

Referring in particular to FIGS. 14 and 15, the operation of the display model creation unit 46 creating the display model 53 will be described.

The process from step S300 to step S304 is the main process.

In step S300, the display model creation unit 46 starts creating the display model 53. In step S 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. When step S301 is NO, in step S302, the display model creation unit 46 selects one top-level component 20 from the state model 52. In 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. When step S301 is YES, in step S304, the display model creation unit 46 finishes creating the display model 53.

Details of the processing of step S303 and step S314 described later are the processing of step S310 to step S318.

In step S310, the display model creation unit 46 starts creating the display model 53 of the component 20. In step S 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. 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. When step S311 is NO, in 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.

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.

In the example of FIG. 16, the stator part and the rotor part of the component “generator” are both in the “normal” state. In the example of FIG. 17, the stator portion of the component “generator” is in an “abnormal” state, and the rotor portion is in a “normal” state. In the example of FIG. 18, the stator portion of the component “generator” is in a “normal” state, and the rotor portion is in an “abnormal” state. In the example of FIG. 19, the stator portion and the rotor portion of the component “generator” are both “abnormal”.

A modification example in which the state of the system is displayed with a two-dimensional symbol instead of a three-dimensional symbol will be described.

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.

In the example of FIG. 20, 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.

In the example of FIG. 21, the stator portion of the component “generator” is in the “temperature abnormal and large discharge amount” state, and the rotor portion is in “abnormal” state.

As described above, in the present embodiment, 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. In some cases, 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.

*** Explanation of the effect of the embodiment ***
In the present embodiment, 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.

*** Other configurations ***
In the present embodiment, as in the first embodiment, 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. As in the modification of the first embodiment, 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.

Claims

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 monitoring device comprising: a state model creating unit that creates a state model representing the determined state.
The structural model includes a plurality of pieces of sensor information for obtaining sensor values for at least one of the components included in the system,
The plurality of pieces of conditional expression information is information that defines a formula for calculating a true / false value by using a sensor value obtained based on the corresponding sensor information corresponding to any one of the plurality of pieces of sensor information. The state monitoring apparatus according to claim 1.
The plurality of component information has a hierarchical structure,
The state monitoring device according to claim 1 or 2, wherein the constituent element information of a parent constituent element having a child constituent element is information defining a condition for determining the state of the parent constituent element based on the state of the child constituent element.
The plurality of event information has a hierarchical structure,
The state monitoring device according to any one of claims 1 to 3, wherein event information of a parent event having a child event is information defining a condition for determining whether or not the parent event has occurred based on whether or not the child event has occurred. .
For each component included in the system, a display model creation unit that creates a display model that represents the appearance of the component in a different appearance depending on the state of the component represented in the state model created by the state model creation unit The state monitoring device according to any one of claims 1 to 4, further comprising:
The state model creation unit is represented in the event information corresponding to the constituent element information of the constituent element in addition to the time and the state of the constituent element for each constituent element included in the system as the state model. Create a model that indicates whether an event has occurred,
The display model creation unit, as the display model, for each component included in the system, a combination of the state of the component represented by the state model created by the state model creation unit and the occurrence of an event The state monitoring apparatus according to claim 5, wherein a model that represents an appearance of a component with a different appearance depending on the state is created.
The state monitoring device according to claim 5 or 6, further comprising a display unit that displays the display model created by the display model creation unit on a display device with a three-dimensional symbol.
The state monitoring device according to claim 5 or 6, further comprising a display unit that displays the display model created by the display model creation unit on a display device with a two-dimensional symbol.
A plurality of conditional expression information defining an expression for calculating a true / false value using a sensor value, and corresponding to any of the multiple conditional expression information, and the expression defined in the corresponding conditional expression information. Multiple event information that represents an event that is determined to occur 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 items And a computer having a structural model storage unit that stores a structural model including a plurality of pieces of constituent element information that defines conditions for determining the state of the constituent element depending 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. Time and status monitoring method of creating a state model representing the determined state.
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 computer having a structural model storage unit for storing a structural model including a plurality of component information defining conditions for determining the state of the component depending 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 monitoring program for executing a state model creation process for creating a state model representing the determined state.