WO2019102756A1 - Monitoring state display device, monitoring state display method, and monitoring state display program - Google Patents

Monitoring state display device, monitoring state display method, and monitoring state display program Download PDF

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Publication number
WO2019102756A1
WO2019102756A1 PCT/JP2018/039119 JP2018039119W WO2019102756A1 WO 2019102756 A1 WO2019102756 A1 WO 2019102756A1 JP 2018039119 W JP2018039119 W JP 2018039119W WO 2019102756 A1 WO2019102756 A1 WO 2019102756A1
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WIPO (PCT)
Prior art keywords
monitoring
state
image
target device
monitoring target
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PCT/JP2018/039119
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French (fr)
Japanese (ja)
Inventor
光樹 佃
玲平 高谷
幸義 山本
高洋 佐藤
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オムロン株式会社
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Publication of WO2019102756A1 publication Critical patent/WO2019102756A1/en

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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 monitoring state display technique for displaying various measurement values and various states of a monitoring target device such as a motor.
  • Patent Document 1 describes a power amount monitoring system.
  • the power monitoring system comprises a PC and a plurality of power measurement units.
  • the PC is connected to a plurality of power measurement units.
  • the PC acquires the amount of power measured by the plurality of power measurement units.
  • the PC displays the amount of power as a graph.
  • an object of the present invention is to provide a technology capable of providing user-friendly information useful for predictive maintenance.
  • the monitoring state display device includes a state determination unit and a monitoring image generation unit.
  • the state determination unit determines the normal or abnormal state of the monitoring target device from the monitoring data acquired from the measuring device installed for the monitoring target device.
  • the monitoring image generation unit generates a monitoring image including at least one of a plurality of types of graphs created based on the monitoring data or the determination result of the state.
  • a plurality of types of graphs are provided based on not only monitoring data such as measurement values but also the device status determined by the monitoring data. Thereby, the user can easily obtain information effective for predictive maintenance based on these graphs.
  • the monitoring image includes at least one of a target-specific image configured of a graph of each monitoring target device and a type-specific image configured of a graph of each type of monitoring data.
  • the graph can be visually recognized for each monitoring target device or each monitoring data, and the sign maintenance according to the user equipment and the maintenance application becomes easier.
  • a plurality of types of graphs include a line graph indicating time-series changes of measured values that are monitoring data, and a bar indicating time-series bars of a plurality of display modes according to the determination result of the monitoring state. And graph.
  • the line graph indicates a reference line which is a determination criterion of the determination result of the monitoring state.
  • the line graph shows different background colors according to the determination result of the monitoring state.
  • the bar graph indicates the detection time of the change of the monitoring state.
  • the monitoring image generation unit generates a monitoring image including detailed data indicating a state related to a monitoring target device or monitoring data corresponding to the operation position based on the operation position with respect to the monitoring image. Do.
  • FIG. 1 It is a figure which shows the shape of the icon for display switching. It is a figure which shows an example of the bar graph image according to monitoring object. It is the figure which expanded a part of bar graph. It is a figure which shows an example of the bar graph image according to monitoring type. It is a figure which shows an example of the line graph image according to monitoring object. It is the figure which expanded a part of line graph. It is a figure which shows an example of the monitoring object classified detailed state image. It is a figure which shows an example of a measured value display window. (A), (B) is a figure which shows an example of a status display window. It is a figure which shows an example of a detailed condition image classified by type.
  • FIG. 1 is a block diagram showing a transition relationship of a plurality of aspects of a monitoring image according to an embodiment of the present invention.
  • a monitoring image having a plurality of modes is prepared. Specifically, the monitoring image has an image classified by monitoring object and an image classified by monitoring type.
  • the monitoring target-specific image is a monitoring image set for each monitoring target device to be monitored.
  • the monitoring target classified image includes a monitoring target classified status list image, a monitoring type classified bar graph, a monitoring type classified line graph, and a monitoring target classified detailed state image.
  • the monitoring target status list image is an image that displays the general status of the monitoring target device by a symbol mark such as an icon.
  • the state preferably includes, for example, at least normal and abnormal, and further includes a state requiring attention.
  • the monitoring type classified bar graph is an image displaying time transition of the state of monitoring data in the monitoring target device.
  • the monitoring type classified line graph is an image displaying time transition and the like of monitoring data (measurement values and the like) in the monitoring target device.
  • the monitoring target classified detailed state image is an image that displays various monitoring data for the monitoring target device in more detail.
  • the monitoring type classified image is a monitoring image set for each monitoring data to be monitored.
  • the monitoring type classified image includes a monitoring type classified status list image, a monitoring target classified bar graph, a monitoring target classified line graph, and a type classified detailed status image.
  • the monitoring type classified status list image is an image that displays a schematic status of the monitoring data by a symbol mark such as an icon.
  • the state preferably includes, for example, at least normal and abnormal, and further includes a state requiring attention.
  • the monitoring target-classified bar graph is an image that displays, for example, time transition of the state of monitoring data of the monitoring target device to be displayed among the monitoring data. This indicates substantially the same content as the monitoring type bar graph.
  • the monitoring target classified line graph is an image that displays, for example, time transition of monitoring data of the monitoring target device to be displayed among the monitoring data. This indicates substantially the same content as the monitoring type classified line graph.
  • the type-specific detailed state image is an image that displays various monitoring data for the monitoring target device in more detail.
  • the images of the above-described aspects can be sequentially switched, for example, in accordance with an operation input from the user.
  • the user can visually recognize the transition of the state or data for each monitoring target device or each monitoring data. As a result, the user can obtain more information effective for predictive maintenance. In addition, the user can obtain information effective for sign maintenance more easily and easily.
  • FIG. 1 is a block diagram showing transition relations of a plurality of aspects of the monitoring image according to the embodiment of the present invention.
  • FIG. 2 is a block diagram showing an example of the configuration of the monitoring state display device according to the embodiment of the present invention.
  • FIG. 3 is a view showing an example of the configuration of a monitoring system including the monitoring state display device according to the embodiment of the present invention.
  • a monitoring image is generated which shows information effective for predictive maintenance in a plurality of modes.
  • Such generation of a monitoring image is realized, for example, by the configuration shown in FIG.
  • the monitoring state display device 10 includes a monitoring data acquisition unit 11, a state determination unit 12, a monitoring image generation unit 13, a storage unit 14, a communication control unit 15, an operation input unit 16, and a display unit 17. Equipped with The monitoring state display device 10 is realized by, for example, an arithmetic processing unit such as a personal computer and a program in which processing to be executed by the arithmetic processing unit is described. The program is stored, for example, in the storage unit 14 formed of a magnetic medium, a semiconductor storage medium, or the like.
  • the monitoring state display device 10 is a component of the monitoring system 1 as shown in FIG.
  • the monitoring system 1 includes a monitoring state display device 10, a network 90, measuring instruments 921, 922, and monitoring target devices 931, 932.
  • the number of measuring instruments and monitoring target devices included in the monitoring system 1 is not limited to the configuration shown in FIG. 3 and is appropriately set according to the system to be monitored.
  • the measuring instrument 921 measures various physical quantities related to the state of the monitoring target device 931.
  • the measuring instrument 921 generates monitoring data for the monitoring target device 931 based on the measurement result.
  • the monitoring data is, for example, acceleration, speed, temperature, differential temperature, insulation resistance, deterioration degree, current, and the like.
  • the differential temperature is, for example, the difference between the motor temperature and the ambient temperature.
  • the degree of deterioration is an index calculated from the disturbance of the current waveform.
  • the measuring instrument 921 acquires information other than the physical quantities, for example, information such as communication errors and power on / off from the monitoring target device 931 and detects the information, and includes the information in the monitoring data.
  • the measuring instrument 922 measures various physical quantities related to the state of the monitoring target device 932 by the same method as the measuring instrument 921.
  • the measuring instrument 922 generates monitoring data for the monitoring target device 932 based on the measurement result in the same manner as the measuring instrument 921.
  • the measuring instrument 921 and the measuring instrument 922 are connected to the monitoring state display device 10 via the network 90.
  • the measuring instrument 921 and the measuring instrument 922 transmit the monitoring data generated by each to the monitoring state display device 10.
  • the communication control unit 15 of the monitoring state display device 10 is connected to the network 90 described above, and controls communication with the measuring instrument 921 and the measuring instrument 922.
  • the monitoring data acquisition unit 11 acquires monitoring data from the measuring instrument 921 and the measuring instrument 922 via the communication control unit 15 and the network 90.
  • the monitoring data acquisition unit 11 outputs the monitoring data to the state determination unit 12 and the monitoring image generation unit 13.
  • the monitoring data acquisition unit 11 can be omitted, and in this case, the monitoring data may be acquired by the state determination unit 12 and the monitoring image generation unit 13.
  • the state determination unit 12 determines the states of the monitoring target device 931 and the monitoring target device 932 based on the monitoring data.
  • the state of the device includes at least a normal state and an abnormal state, and preferably includes a state requiring attention.
  • the caution state is not as serious as an abnormal state but is a deterioration state compared to a normal state.
  • this determination is realized by setting a reference value (threshold value) of the caution state or the abnormal state to the monitoring data and comparing the monitoring data with the reference value.
  • this determination is realized by detecting a match between the status of the monitoring data and the status corresponding to the normal state, the abnormal state, and the caution state. This determination is sequentially performed at predetermined time intervals.
  • this determination is performed for each monitoring data. For example, when a plurality of monitoring data exist for the monitoring target device, the state determination is performed for each of the plurality of monitoring data.
  • the state determination unit 12 outputs the determined state (state determination result) to the monitoring image generation unit 13.
  • the state determination unit 12 acquires an operation abnormality of the monitoring target device and outputs the operation abnormality to the monitoring image generation unit 13.
  • the operation abnormality is not an abnormality determined based on monitoring data including measured values, but an abnormality in the operation itself of the monitored device such as a communication error, power on / off, and the like.
  • the monitoring image generation unit 13 stores the monitoring data and the state determination result in the storage unit 14.
  • the monitoring image generation unit 13 generates a monitoring image in any of the above-described plurality of modes using the monitoring data or the state determination result.
  • the specific example of the monitoring image of a several aspect is mentioned later.
  • the monitoring image generation unit 13 causes the operation input unit 16 to detect the content operated on the monitoring image by the user, and generates a monitoring image of an aspect according to the content of the operation.
  • the operation input unit 16 is realized by, for example, a keyboard, a mouse, a touch panel, and the like.
  • the monitoring image generation unit 13 outputs the generated monitoring image to the display unit 17.
  • the display unit 17 displays a monitoring image.
  • FIG. 4 is a flowchart showing an outline of a monitoring method according to the first embodiment of the present invention.
  • the monitoring state display device 10 causes the operation input unit 16 to accept the selection of the display mode from the user (S11).
  • the monitoring image generation unit 13 of the monitoring state display device 10 determines whether a display mainly for the monitoring target device is selected or a display mainly for the type of monitoring data is selected (S12).
  • the monitoring image generation unit 13 generates a monitoring target image if the display having the monitoring target device as the main is selected (S13).
  • the monitoring image generation unit 13 generates an image classified by monitoring type if the display having the main type of monitoring data is selected (S14).
  • FIG. 5 is a flowchart showing a specific processing example of the monitoring method according to the first embodiment of the present invention.
  • the monitoring image generation unit 13 of the monitoring state display device 10 generates a list image as shown in FIG. 6 (A) and FIG. 6 (B) described later (S21). At this time, the monitoring image generation unit 13 generates a monitoring target status list image or a monitoring type status list image according to the selection result.
  • the monitoring image generation unit 13 receives an operation on the list image (S22), and detects the operation position and the operation content (for example, single click by mouse, right click, etc.) (S23).
  • the monitoring image generation unit 13 generates a bar graph image as shown in FIGS. 8 and 10 described later according to the contents of the operation (S24).
  • the monitoring image generation unit 13 receives an operation input to the bargraph image, and detects the operation position and the operation content (S25). If this operation is the generation target of a line graph image (S26: YES), the monitoring image generation unit 13 generates a line graph image as shown in FIG. 11 described later (S27).
  • the monitoring image generation unit 13 receives an operation input to the line graph image, and detects the operation position and the operation content (S28). If this operation is a generation target of a detailed state image (S29: YES), the monitoring image generation unit 13 generates a detailed state image as shown in FIG. 13 and FIG. 16 described later (S30).
  • the monitoring target device is a motor.
  • the monitoring target device is not limited to this.
  • the number of monitoring target devices and the number of types of monitoring data to be monitored are not limited to the number described below.
  • FIG. 6A is a view showing an example of the monitoring target classified state list image
  • FIG. 6B is a view showing an example of the monitoring type classified state list image.
  • 6 (A) and 6 (B) in order to make a figure intelligible, a symbol is added only to one part and the addition of the symbol to the same location is abbreviate
  • the monitoring target status list image 71A has a plurality of icons 711 and a display switching icon 701.
  • the plurality of icons 711 are set for each monitoring target device (motor). That is, the icon 711 is set for each of the eight motors.
  • the plurality of icons 711 are arranged on the by-target list image 71A.
  • the icon 711 has a name 7111 of the corresponding motor, a symbol mark 7112 indicating the state of the motor, text data 7113 indicating the state of the motor, and an icon 7114 indicating an additional abnormality of the motor.
  • the additional abnormality is not an abnormality determined based on monitoring data including measured values, but is an abnormality based on a communication error, power on / off of a sensor or the like, an operation abnormality, or the like.
  • the icon 7114 can also be omitted.
  • the design of the symbol mark 7112 differs according to the state of the motor. For example, in FIG. 6 (A), the ⁇ ⁇ mark on the hole shows a normal state, and the “!” Mark in the ⁇ mark on the hole shows a caution state, and the “!” Mark in the filled ⁇ mark is an abnormal state Indicates The state of these symbol marks 7112 and the state of the text data 7113 are synchronized. In addition, the symbol mark 7112 may have different colors depending on the state. For example, green in the normal state, yellow in the caution state, and red in the abnormal state. This further improves the visibility.
  • the normal state, the abnormal state, and the caution state are determination results of the current value. Further, the state displayed on the icon 711 and the symbol mark 7112 use the plurality of monitoring data for the target motor and extract the worst among the determination results determined for each monitoring data. For example, for the motor 1, the acceleration, speed, temperature, differential temperature, insulation resistance, deterioration degree, and current state are acquired as a plurality of monitoring data, and if all are normal states, the normal state is displayed. Further, if at least one of the plurality of monitoring data is in the caution state and there is no abnormal state, the caution state is displayed. If at least one of the plurality of monitoring data is in an abnormal state, an abnormal state is displayed.
  • the monitoring type classified status list image 71B has a plurality of icons 712 and a display switching icon 701.
  • the plurality of icons 712 are set for each type of monitoring data.
  • the types of monitoring data are acceleration, speed, temperature, differential temperature, insulation resistance, deterioration degree, and current. That is, the icon 712 is set for each of the eight types of monitoring data.
  • the plurality of icons 712 are arranged on the monitoring type classified status list image 71B according to the monitoring type used for monitoring.
  • the icon 712 has a corresponding type of monitoring data 7121, a symbol mark 7122 indicating the status of the monitoring data, and text data 7123 indicating the status of the monitoring data.
  • the symbol mark 7122 has a different design depending on the status of the monitoring data. For example, in FIG. 6 (B), the circled hole ⁇ indicates a normal state, and the hole! Indicated by an “!” Mark indicates a caution state, and a filled circle ⁇ indicates an “!” Mark abnormal state. Indicates The state of these symbol marks 7122 and the state of the text data 7123 are synchronized. In addition, the symbol mark 7122 may have different colors depending on the state. For example, green in the normal state, yellow in the caution state, and red in the abnormal state. This further improves the visibility.
  • the normal state, the abnormal state, and the caution state are determination results of the current value.
  • the state displayed on the icon 712 and the symbol mark 7122 use the states of a plurality of monitoring target devices with respect to the target monitoring data to extract and show the worst. For example, regarding acceleration, the states of the motor 1 to the motor 8 are acquired as a plurality of monitoring target devices, and when all are normal states, the normal state is displayed. Further, if at least one of the plurality of monitored devices is in the caution state and there is no abnormal state, the caution state is displayed. If at least one of the plurality of monitored devices is in an abnormal state, an abnormal state is displayed.
  • the display switching icon 701 included in the monitoring target status list image 71A and the monitoring type status list image 71B has, for example, a shape as shown in FIG.
  • FIG. 7 is a view showing the shape of the display switching icon.
  • the display switching icon 701 displays the type of the current image, that is, whether it is the monitoring object classified state list image 71A or the monitoring type classified state list image 71B.
  • “monitoring by motor” is set for the monitoring target classified state list image 71A
  • “monitoring by monitoring type” is set for the monitoring type classified state list image 71B.
  • selectable list images are displayed.
  • a monitoring object classified bar graph image 72 shown below is generated and displayed. Further, when a selection operation of the icon 7114 is received, a later-described detailed state image 75 including an additional abnormality is generated and displayed.
  • a monitoring type-classified bar graph image 73 shown below is generated and displayed. As a result, the user can easily confirm the additional information by monitoring target device or monitoring data type.
  • FIG. 8 is a view showing an example of a bar graph image for each monitoring target.
  • FIG. 9 is an enlarged view of a part of the bar graph.
  • FIG. 10 is a view showing an example of a bar graph image classified by monitoring type.
  • the monitoring target classified bar graph image 72 has a monitoring target device list window 721 and a bar graph display window 722. Further, the monitoring target-classified bar graph image 72 has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703.
  • the monitoring target device list window 721 has a monitoring target device display window 7211 and a status display icon 7212.
  • the monitoring target device display window 7211 displays the numbers according to the number of monitoring target devices currently being monitored. In the monitoring target device display window 7211, respective names (for example, the motor 1, the motor 2 and the like) are described.
  • the status display icon 7212 is an icon corresponding to the caution state or the abnormal state of the monitoring target device, and is displayed in the monitoring target device display window 7211 of the monitoring target device in the caution state or the abnormal state. As a result, the user can easily confirm the monitoring target device in the caution state or the abnormal state.
  • the bar graph display window 722 has a bar graph 724 indicating the state of the monitoring target device selected in the monitoring target device list window 721.
  • the bar graph 724 is generated for each device used to measure the monitoring target device.
  • the bar graphs 724 are generated for each monitoring data (for example, acceleration, velocity, temperature, differential temperature, etc.) for one device, and are arranged such that the times of the respective bar graphs coincide.
  • the bar graph display window 722 also has a monitoring device name 723 for detecting the state for each bar graph 724, and an icon 725 indicating the current state.
  • the icon 725 may be any one that can discriminate at least the caution state and the abnormal state.
  • the bar graph 724 has an item display window 726 and a bar graph display window 727.
  • the item display window 726 has a name 7261 of monitoring data, a measured value 7262 of monitoring data, a unit symbol 7263 of monitoring data, and an icon 7264 indicating the current state of the monitoring data.
  • the measured value 7262 of the monitoring data is highlighted according to each state.
  • the user can easily and easily confirm that each monitoring data is currently in the caution state or the abnormal state. This state can also be confirmed by the icon 7264.
  • bars 7271 of different display modes are displayed in time series according to the state of the monitoring data.
  • the bar graph display window 727 also displays the time 7272 when the state of the monitoring data has changed.
  • the user can easily and easily confirm the time transition of the state of each monitoring data in each monitoring target device. That is, it is possible to capture time-series changes of the monitoring target device, and obtain information necessary for sign maintenance.
  • the monitoring type bar graph image 73 has a monitoring data list window 731 and a bar graph display window 732. Also, the monitoring type-based bar graph image 73 has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703.
  • the monitoring data list window 731 has a monitoring data display window 7311 and a status display icon 7312.
  • the monitoring data display window 7311 displays the numbers according to the number of types of monitoring data currently being monitored. Each name (for example, acceleration, velocity, etc.) is described in the monitoring data display window 7311.
  • the status display icon 7312 is an icon corresponding to the caution state or abnormal state of the monitoring data, and is displayed in the monitoring data display window 7311 of the monitoring data in the caution state or abnormal state. Thereby, the user can easily confirm the monitoring data in the caution state or the abnormal state.
  • the bar graph display window 732 has a bar graph 734 indicating the status of the monitoring data selected in the monitoring data list window 731.
  • the bar graphs 724 are generated for each monitoring target device (for example, motor 1, motor 2, etc.) for one monitoring data, and are arranged so that the time of each bar graph matches.
  • the bar graph display window 732 has, for each bar graph 734, a monitoring data name 733 for detecting the state, and an icon 735 indicating the current state.
  • the icon 735 may be any icon that can discriminate at least the caution state and the abnormal state.
  • the bar graph 734 has an item display window and a bar graph display window.
  • the item display window has the name of the monitored device, the measured value of the monitored data, the unit symbol of the monitored data, and an icon indicating the current status of the monitored data.
  • the measured value of the monitoring data is highlighted according to each state.
  • the user can easily confirm, with respect to desired monitoring data, which monitoring target device is currently in the caution state or abnormal state. This state can also be confirmed by an icon.
  • bar graph display window bars of different display modes are displayed in time series according to the state of the monitoring data.
  • the bar graph display window also displays the time when the status of the monitoring data has changed (not shown in FIG. 10).
  • the graph selection icon 702 can be operated to display a line graph as shown in FIG. 11 described later. At this time, the bar graph and the line graph may be simultaneously displayed, or the line graph may be displayed instead of the bar graph.
  • the scale switching icon 703 by operating the scale switching icon 703, the scale of the bar graph time axis can be changed. Thereby, the user can confirm the time transition of the state on the desired time scale.
  • FIG. 11 is a view showing an example of a line graph image for each monitoring target.
  • FIG. 12 is an enlarged view of a part of the line graph.
  • a bar graph can also be abbreviate
  • the line graph image 74 has a monitoring target device list window 741 and a graph display window 742. Further, the line graph image 74 has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703.
  • the monitoring target device list window 741 has a monitoring target device display window and a status display icon, as in the above-described monitoring target device list window 721.
  • the monitoring target device display window displays the numbers according to the number of monitoring target devices currently being monitored. Each name (for example, motor 1, motor 2 etc.) is described in the monitoring object apparatus display window.
  • the status display icon is an icon corresponding to the caution state or abnormal state of the monitoring target device, and is displayed in the monitoring target device display window of the monitoring target device in the caution state or abnormal state. As a result, the user can easily confirm the monitoring target device in the caution state or the abnormal state.
  • the graph display window 742 has a bar graph 744 and a line graph 746 indicating the state of the monitored device selected in the monitored device list window 741.
  • the bar graph 744 and the line graph 746 are generated for each device used for measurement of the monitoring target device.
  • the bar graph 744 and the line graph 746 are displayed in synchronization with time.
  • the bar graph 744 and the line graph 746 are generated for each monitoring data (for example, acceleration, speed, temperature, differential temperature, etc.) for one device, and are arranged so that the time of each bar graph matches. There is.
  • the graph display window 742 also has a monitoring device name 743 for detecting the state for each of the bar graph 744 and the line graph 746, and an icon 745 indicating the current state.
  • the icon 745 may be any icon that can discriminate at least the caution state and the abnormal state.
  • the line graph 746 has a horizontal axis 7461, a vertical axis 7462, a broken line 7463, a caution reference line 7464, an anomaly reference line 7465, a caution region background 7466, and an anomaly region background 7467.
  • the horizontal axis 7461 displays time
  • the vertical axis 7462 displays a scale of measurement values.
  • a broken line 7463 corresponding to the measurement value as monitoring data is displayed.
  • the caution base line 7464 is displayed based on a threshold for determining the caution state
  • the abnormality reference line 7465 is displayed based on the threshold for determining the abnormal state.
  • the caution area background 7466 is displayed in the area between the threshold for determining the caution state and the threshold for determining the abnormal state
  • the abnormal area background 7467 is higher than the threshold for determining the abnormal state. It is displayed in the high value area.
  • Different colors are set for the caution area background 7466 and the abnormal area background 7467, and these are also set to a color different from the area indicating the normal state (the area having a value lower than the threshold for determining the attention required state). It is done.
  • the user can confirm the time transition of the state of monitoring data in more detail. Further, by using the caution reference line 7464 and the abnormality reference line 7465, the transition state to the caution state and the abnormal state can be more easily understood and can be confirmed in detail. Furthermore, by using the critical area background 7466 and the abnormal area background 7467, the transition state to the critical state or the abnormal state can be confirmed more easily.
  • the bar graph and the line graph are displayed side by side, it is possible to check while simultaneously comparing the schematic state transition and the detailed state transition. As a result, more effective information for sign maintenance can be confirmed collectively and is effective for sign maintenance.
  • a line graph may be generated for each monitoring target device based on the monitoring data.
  • FIG. 13 is a view showing an example of the monitoring target classified detailed state image.
  • the monitoring target-based detailed state image 75 has a device list window 751 and a detailed content display window 752.
  • the detailed content display window 752 includes a measurement value display window 753, a status display window 754, and a graph display window 755.
  • the graph display window 755 is similar to the graph display window 742 described above, and the description is omitted.
  • the monitoring target classified detailed state image 75 has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703. These are also the same as the above-described respective images, and the description will be omitted.
  • the device list window 751 has a device name window 7511 and a monitoring device display window 7512.
  • buttons corresponding to the caution state or the abnormal state are displayed. Thereby, the user can easily confirm that the user is in the caution state or the abnormal state.
  • the monitoring device display window 7512 displays the numbers according to the number of devices of the monitoring target devices currently being monitored.
  • respective names for example, in the case of FIG. 13, K6CM-VB etc.
  • FIG. 14 is a view showing an example of the measurement value display window.
  • the type (name) of the measurement value, the measurement value, and the unit of the measurement value are displayed.
  • operation integration number of triggers, acceleration (current value), acceleration (MIN (minimum value)), motor temperature (current value), motor temperature (MIN (minimum Values), motor temperature (MAX (maximum value)), differential temperature (current value).
  • the operation integration is an index that is an indicator of the life of the monitored device.
  • the number of triggers is the number of times the measurement on / off trigger is used.
  • the highlighted display is performed on the measured values in the caution state and the abnormal state.
  • FIG. 15A and FIG. 15B are diagrams showing an example of the status display window.
  • various statuses effective for grasping the status of the monitoring target device are displayed in the status display window.
  • statuses as shown in FIGS. 15A and 15B, acceleration non-measurement state, acceleration input abnormality, acceleration alarm (attention), acceleration alarm (abnormal), motor temperature non-measurement state, motor Temperature input error, motor temperature alarm (attention), motor temperature alarm (error), measurement CPU error, measurement CPU data flash error, main CPU error, main CPU data flash error, operation integration status, measurement status, trigger input, error output Etc. That is, the status is not a state that can be determined by the measurement value but represents an abnormality or the like related to the measurement device.
  • an icon indicating an abnormal state is attached to the status determined to be an abnormal state.
  • the user can confirm not only monitoring data based on measurement values but also more various and detailed information.
  • the user can easily confirm the detailed information based on the monitoring target device.
  • FIG. 16 is a view showing an example of the type-specific detailed state image.
  • the type-specific detailed state image 76 has a monitoring target device list window 761 and a detailed content display window 762.
  • the detailed content display window 762 includes a measurement value display window 763, a status display window 764, and a graph display window 765.
  • the detailed content display window 762 is similar to the above-described detailed content display window 752, and the description thereof is omitted.
  • the type-specific detailed state image 76 also has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703. These are also the same as the above-described respective images, and the description will be omitted.
  • the monitoring target device list window 761 has a monitoring data name window 7611 and a monitoring target device display window 7612.
  • the monitoring data name window 7611 displays icons corresponding to the caution state or the abnormal state. Thereby, the user can easily confirm that the user is in the caution state or the abnormal state.
  • the monitoring target device display window 7612 displays the numbers according to the number of monitoring target devices corresponding to the monitoring data currently being monitored. In the monitoring target device display window 7612, respective names (for example, in the case of FIG. 16, the motor 1 etc.) are described.
  • the user can easily confirm detailed information based on the type of monitoring data.
  • Monitoring system 10 Monitoring status display device 11: Monitoring data acquisition unit 12: Status determination unit 13: Monitoring image generation unit 14: Storage unit 15: Communication control unit 16: Operation input unit 17: Display unit 71A: Separate by monitoring target Status list image 71 B: Status list by monitoring type Image 72: Bargraph image by monitoring target 73: Bar graph image by monitoring type 74: Line graph image 75: Detailed status image by monitoring target 76: Detailed status image by monitoring type 90: Network 701: Display switching icon 702: Graph selection icon 703: Scale switching icon 711: Icon 712: Icon 721: Monitoring target device list window 722: Bar graph display window 723: Monitoring device name 724: Bar graph 725: Icon 726: Item display window 727: Bar graph display window 7 1: Monitoring data list window 732: Bar graph display window 733: Monitoring data name 734: Bar graph 735: Icon 741: Monitoring target device list window 742: Graph display window 743: Monitoring device name 744: Bar graph 745: Icon 746: Line graph 7

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Abstract

A monitoring state display device comprising a state determination unit and a monitoring image generation unit. The state determination unit determines normal and abnormal states for a monitoring target device, from monitoring data obtained from a measurement instrument arranged on the monitoring target device. The monitoring image generation unit generates a monitoring image including at least one of a plurality of types of graphs created on the basis of monitoring data or state determination results.

Description

監視状態表示装置、監視状態表示方法、および、監視状態表示プログラムMonitor status display device, monitor status display method, and monitor status display program
　本発明は、モータ等の監視対象機器の各種計測値および各種状態を表示する監視状態表示技術に関する。 The present invention relates to a monitoring state display technique for displaying various measurement values and various states of a monitoring target device such as a motor.
　特許文献１には、電力量監視システムが記載されている。電力量監視システムは、ＰＣと複数の電力計測ユニットを備える。ＰＣは、複数の電力計測ユニットに接続されている。 Patent Document 1 describes a power amount monitoring system. The power monitoring system comprises a PC and a plurality of power measurement units. The PC is connected to a plurality of power measurement units.
　ＰＣは、複数の電力計測ユニットで計測した電力量を取得する。ＰＣは、電力量をグラフ化して表示している。 The PC acquires the amount of power measured by the plurality of power measurement units. The PC displays the amount of power as a graph.
特開２０１１－１４５３１０号公報JP 2011-145310 A
　しかしながら、特許文献１のシステムでは、電力量を１種類の時系列の棒グラフで表示するだけであり、これは単なる計測値の表示である。このため、ユーザが予兆保全を実現するために必要とする情報を分かり易く提供できているとは限らない。 However, in the system of Patent Document 1, the amount of power is displayed by only one type of time-series bar graph, which is merely a display of measurement values. For this reason, it is not always easy to understand the information required by the user to realize the sign maintenance.
　したがって、本発明の目的は、予兆保全に有効な情報をユーザに分かり易く提供できる技術を提供することにある。 Therefore, an object of the present invention is to provide a technology capable of providing user-friendly information useful for predictive maintenance.
　本開示の一例では、監視状態表示装置は、状態判定部、および、監視画像生成部を備える。状態判定部は、監視対象機器に対して設置された計測器から取得した監視データから監視対象機器の正常または異常の状態を判定する。監視画像生成部は、監視データまたは状態の判定結果に基づいて作成される複数種類のグラフの少なくとも１つを含む監視画像を生成する。 In an example of the present disclosure, the monitoring state display device includes a state determination unit and a monitoring image generation unit. The state determination unit determines the normal or abnormal state of the monitoring target device from the monitoring data acquired from the measuring device installed for the monitoring target device. The monitoring image generation unit generates a monitoring image including at least one of a plurality of types of graphs created based on the monitoring data or the determination result of the state.
　この構成では、計測値のような監視データだけでなく、当該監視データによって判定される機器の状態に基づいて、複数種類のグラフが提供される。これにより、ユーザは、これらのグラフに基づいて、予兆保全に有効な情報を分かり易く得られる。 In this configuration, a plurality of types of graphs are provided based on not only monitoring data such as measurement values but also the device status determined by the monitoring data. Thereby, the user can easily obtain information effective for predictive maintenance based on these graphs.
　また、本開示の一例では、監視画像は、監視対象機器毎のグラフで構成される対象別画像と、監視データの種類毎のグラフで構成される種類別画像と、の少なくとも一方を含む。 Further, in an example of the present disclosure, the monitoring image includes at least one of a target-specific image configured of a graph of each monitoring target device and a type-specific image configured of a graph of each type of monitoring data.
　この構成では、監視対象機器毎または監視データ毎にグラフを視認でき、ユーザ設備や保全用途に合わせた予兆保全がより容易になる。 In this configuration, the graph can be visually recognized for each monitoring target device or each monitoring data, and the sign maintenance according to the user equipment and the maintenance application becomes easier.
　また、本開示の一例では、複数種類のグラフは、監視データである計測値の時系列変化を示す折れ線グラフと、監視状態の判定結果に応じた複数の表示態様のバーを時系列に示すバーグラフと、を含む。 Further, in an example of the present disclosure, a plurality of types of graphs include a line graph indicating time-series changes of measured values that are monitoring data, and a bar indicating time-series bars of a plurality of display modes according to the determination result of the monitoring state. And graph.
　この構成では、計測値の遷移を確認し易いグラフと、監視状態の遷移が確認し易いグラフとが用いられる。これにより、１つの監視対象機器に注目した詳細な予兆保全と、ユーザ設備全体を把握する概要的な予兆保全との使い分けが、より容易になる。 In this configuration, a graph in which the transition of the measurement value is easy to confirm and a graph in which the transition of the monitoring state is easy to confirm are used. This makes it easier to use the detailed predictive maintenance focusing on one monitoring target device and the general predictive maintenance for grasping the entire user equipment.
　また、本開示の一例では、折れ線グラフは、監視状態の判定結果の判定基準となる基準線が示されている。 Further, in an example of the present disclosure, the line graph indicates a reference line which is a determination criterion of the determination result of the monitoring state.
　この構成では、折れ線グラフからも監視状態の遷移を容易に確認できる。 In this configuration, the transition of the monitoring state can be easily confirmed from the line graph.
　また、本開示の一例では、折れ線グラフは、監視状態の判定結果に応じて異なる背景色が示されている。 Further, in an example of the present disclosure, the line graph shows different background colors according to the determination result of the monitoring state.
　この構成では、折れ線グラフによる監視状態の遷移の確認がさらに容易になる。 In this configuration, it is easier to confirm the transition of the monitoring state by the line graph.
　また、本開示の一例では、バーグラフは、監視状態の変化の検出時刻が示されている。 Further, in an example of the present disclosure, the bar graph indicates the detection time of the change of the monitoring state.
　この構成では、監視状態の変化の時刻を容易に確認できる。 In this configuration, the time of change of the monitoring state can be easily confirmed.
　また、本開示の一例では、監視画像生成部は、監視画像に対する操作位置に基づいて、該操作位置に対応する監視対象機器または監視データに関連する状態を示す詳細なデータを含む監視画像に生成する。 Further, in an example of the present disclosure, the monitoring image generation unit generates a monitoring image including detailed data indicating a state related to a monitoring target device or monitoring data corresponding to the operation position based on the operation position with respect to the monitoring image. Do.
　この構成では、監視状態や監視データの詳細なデータを容易に確認できる。 In this configuration, it is possible to easily check detailed data of the monitoring status and monitoring data.
　本発明によれば、予兆保全に有効な、より多く情報をユーザに分かり易く提供できる。 According to the present invention, it is possible to provide more information to the user in an easy-to-understand manner, which is more effective for sign maintenance.
本発明の実施形態に係る監視画像の複数の態様の遷移関係を示すブロック図である。It is a block diagram which shows the transition relation of the several aspect of the monitoring image which concerns on embodiment of this invention. 本発明の実施形態に係る監視状態表示装置の構成の一例を示すブロック図である。It is a block diagram showing an example of composition of a surveillance state display concerning an embodiment of the present invention. 本発明の実施形態に係る監視状態表示装置を含む監視システムの構成の一例を示す図である。It is a figure showing an example of the composition of the surveillance system containing the surveillance state display device concerning the embodiment of the present invention. 本発明の第１の実施形態に係る監視方法の概略を示すフローチャートである。It is a flow chart which shows an outline of a surveillance method concerning a 1st embodiment of the present invention. 本発明の第１の実施形態に係る監視方法の具体的な処理例を示すフローチャートである。It is a flowchart which shows the specific processing example of the monitoring method which concerns on the 1st Embodiment of this invention. （Ａ）は、監視対象別状態一覧画像の一例を示す図であり、（Ｂ）は、監視種類別状態一覧画像の一例を示す図である。(A) is a figure which shows an example of the monitoring object classified state list image, (B) is a figure which shows an example of the monitoring kind classified state list image. 表示切替用アイコンの形状を示す図である。It is a figure which shows the shape of the icon for display switching. 監視対象別のバーグラフ画像の一例を示す図である。It is a figure which shows an example of the bar graph image according to monitoring object. バーグラフの一部を拡大した図である。It is the figure which expanded a part of bar graph. 監視種類別のバーグラフ画像の一例を示す図である。It is a figure which shows an example of the bar graph image according to monitoring type. 監視対象別の折れ線グラフ画像の一例を示す図である。It is a figure which shows an example of the line graph image according to monitoring object. 折れ線グラフの一部を拡大した図である。It is the figure which expanded a part of line graph. 監視対象別詳細状態画像の一例を示す図である。It is a figure which shows an example of the monitoring object classified detailed state image. 計測値表示ウィンドウの一例を示す図である。It is a figure which shows an example of a measured value display window. （Ａ）、（Ｂ）は、ステータス表示ウィンドウの一例を示す図である。(A), (B) is a figure which shows an example of a status display window. 種類別詳細状態画像の一例を示す図である。It is a figure which shows an example of a detailed condition image classified by type.
　以下、本発明の実施形態を、図を参照して説明する。 Hereinafter, embodiments of the present invention will be described with reference to the drawings.
　・適用例
　まず、図１を用いて、本発明が適用される一例について説明する。図１は、本発明の実施形態に係る監視画像の複数の態様の遷移関係を示すブロック図である。 Application Example First, an example to which the present invention is applied will be described with reference to FIG. FIG. 1 is a block diagram showing a transition relationship of a plurality of aspects of a monitoring image according to an embodiment of the present invention.
　図１に示すように、本実施形態に係る監視状態表示装置および監視状態表示方法では、複数の態様からなる監視画像が用意されている。具体的には、監視画像は、監視対象別画像と監視種類別画像とを有する。 As shown in FIG. 1, in the monitoring state display device and the monitoring state display method according to the present embodiment, a monitoring image having a plurality of modes is prepared. Specifically, the monitoring image has an image classified by monitoring object and an image classified by monitoring type.
　監視対象別画像は、監視対象とする監視対象機器毎に設定された監視画像である。監視対象別画像は、監視対象別状態一覧画像、監視種類別バーグラフ、監視種類別折れ線グラフ、および、監視対象別詳細状態画像を含む。 The monitoring target-specific image is a monitoring image set for each monitoring target device to be monitored. The monitoring target classified image includes a monitoring target classified status list image, a monitoring type classified bar graph, a monitoring type classified line graph, and a monitoring target classified detailed state image.
　監視対象別状態一覧画像は、監視対象機器の概略的な状態を、例えばアイコン等のようなシンボルマークによって表示する画像である。ここで、状態とは、例えば、正常、異常を少なくとも含み、さらに要注意状態を含むことが好ましい。 The monitoring target status list image is an image that displays the general status of the monitoring target device by a symbol mark such as an icon. Here, the state preferably includes, for example, at least normal and abnormal, and further includes a state requiring attention.
　監視種類別バーグラフは、監視対象機器における監視データの状態の時間遷移等を表示する画像である。 The monitoring type classified bar graph is an image displaying time transition of the state of monitoring data in the monitoring target device.
　監視種類別折れ線グラフは、監視対象機器における監視データ（計測値等）の時間遷移等を表示する画像である。 The monitoring type classified line graph is an image displaying time transition and the like of monitoring data (measurement values and the like) in the monitoring target device.
　監視対象別詳細状態画像は、監視対象機器に対する各種の監視データをより詳細に表示する画像である。 The monitoring target classified detailed state image is an image that displays various monitoring data for the monitoring target device in more detail.
　監視種類別画像は、監視対象とする監視データ毎に設定された監視画像である。監視種類別画像は、監視種類別状態一覧画像、監視対象別バーグラフ、監視対象別折れ線グラフ、および、種類別詳細状態画像を含む。 The monitoring type classified image is a monitoring image set for each monitoring data to be monitored. The monitoring type classified image includes a monitoring type classified status list image, a monitoring target classified bar graph, a monitoring target classified line graph, and a type classified detailed status image.
　監視種類別状態一覧画像は、監視データの概略的な状態を、例えばアイコン等のようなシンボルマークによって表示する画像である。ここで、状態とは、例えば、正常、異常を少なくとも含み、さらに要注意状態を含むことが好ましい。 The monitoring type classified status list image is an image that displays a schematic status of the monitoring data by a symbol mark such as an icon. Here, the state preferably includes, for example, at least normal and abnormal, and further includes a state requiring attention.
　監視対象別バーグラフは、監視データの内、表示対象とする監視対象機器の監視データの状態の時間遷移等を表示する画像である。これは、実質的には、監視種類別バーグラフと同様の内容を示している。 The monitoring target-classified bar graph is an image that displays, for example, time transition of the state of monitoring data of the monitoring target device to be displayed among the monitoring data. This indicates substantially the same content as the monitoring type bar graph.
　監視対象別折れ線グラフは、監視データの内、表示対象とする監視対象機器の監視データの時間遷移等を表示する画像である。これは、実質的には、監視種類別折れ線グラフと同様の内容を示している。 The monitoring target classified line graph is an image that displays, for example, time transition of monitoring data of the monitoring target device to be displayed among the monitoring data. This indicates substantially the same content as the monitoring type classified line graph.
　種類別詳細状態画像は、監視対象機器に対する各種の監視データをより詳細に表示する画像である。 The type-specific detailed state image is an image that displays various monitoring data for the monitoring target device in more detail.
　上述の各態様の画像は、例えば、ユーザからの操作入力にしたがって、順次切り替えが可能である。 The images of the above-described aspects can be sequentially switched, for example, in accordance with an operation input from the user.
　このような構成によって、ユーザは、監視対象機器毎、または監視データ毎に状態やデータの遷移を視認できる。これにより、ユーザは、予兆保全に有効な情報を、より多く得られる。また、ユーザは、予兆保全に有効な情報を、より容易に且つ分かり易く得られる。 With such a configuration, the user can visually recognize the transition of the state or data for each monitoring target device or each monitoring data. As a result, the user can obtain more information effective for predictive maintenance. In addition, the user can obtain information effective for sign maintenance more easily and easily.
　・構成例
　次に、本発明の実施形態に係る監視状態表示装置および監視状態表示方法について、図を参照して説明する。上述のように、図１は、本発明の実施形態に係る監視画像の複数の態様の遷移関係を示すブロック図である。図２は、本発明の実施形態に係る監視状態表示装置の構成の一例を示すブロック図である。図３は、本発明の実施形態に係る監視状態表示装置を含む監視システムの構成の一例を示す図である。 Configuration Example Next, a monitoring state display device and a monitoring state display method according to an embodiment of the present invention will be described with reference to the drawings. As described above, FIG. 1 is a block diagram showing transition relations of a plurality of aspects of the monitoring image according to the embodiment of the present invention. FIG. 2 is a block diagram showing an example of the configuration of the monitoring state display device according to the embodiment of the present invention. FIG. 3 is a view showing an example of the configuration of a monitoring system including the monitoring state display device according to the embodiment of the present invention.
　上述のように、本実施形態に係る監視状態表示装置および監視状態表示方法では、予兆保全に有効な情報を複数の態様で示す監視画像が生成される。このような監視画像の生成は、例えば、図２に示す構成によって実現される。 As described above, in the monitoring state display device and the monitoring state display method according to the present embodiment, a monitoring image is generated which shows information effective for predictive maintenance in a plurality of modes. Such generation of a monitoring image is realized, for example, by the configuration shown in FIG.
　図２に示すように、監視状態表示装置１０は、監視データ取得部１１、状態判定部１２、監視画像生成部１３、記憶部１４、通信制御部１５、操作入力部１６、および、表示部１７を備える。監視状態表示装置１０は、例えば、パーソナルコンピュータ等の演算処理装置と、該演算処理装置で実行される後述の処理が記載されたプログラムとによって実現される。このプログラムは、例えば、磁気媒体または半導体記憶媒体等からなる記憶部１４に記憶されている。 As shown in FIG. 2, the monitoring state display device 10 includes a monitoring data acquisition unit 11, a state determination unit 12, a monitoring image generation unit 13, a storage unit 14, a communication control unit 15, an operation input unit 16, and a display unit 17. Equipped with The monitoring state display device 10 is realized by, for example, an arithmetic processing unit such as a personal computer and a program in which processing to be executed by the arithmetic processing unit is described. The program is stored, for example, in the storage unit 14 formed of a magnetic medium, a semiconductor storage medium, or the like.
　この監視状態表示装置１０は、図３に示すような監視システム１の構成要素である。監視システム１は、監視状態表示装置１０、ネットワーク９０、計測器９２１、９２２、監視対象機器９３１、９３２を備える。なお、監視システム１に含まれる計測器および監視対象機器の個数は、図３の構成に限るものではなく、監視対象のシステムに応じて適宜設定されている。 The monitoring state display device 10 is a component of the monitoring system 1 as shown in FIG. The monitoring system 1 includes a monitoring state display device 10, a network 90, measuring instruments 921, 922, and monitoring target devices 931, 932. The number of measuring instruments and monitoring target devices included in the monitoring system 1 is not limited to the configuration shown in FIG. 3 and is appropriately set according to the system to be monitored.
　計測器９２１は、監視対象機器９３１の状態に関する各種の物理量を計測する。計測器９２１は、計測結果に基づいて監視対象機器９３１に対する監視データを生成する。ここで、監視データとは、例えば、加速度、速度、温度、差温、絶縁抵抗、劣化度、電流等である。差温とは、例えば、モータ温度と周囲温度との差である。劣化度は、電流波形の乱れから算出される指数である。また、計測器９２１は、これら物理量以外の情報、例えば、通信エラー、電源のオン／オフ等の情報を監視対象機器９３１から取得、検出し、監視データに含む。計測器９２２は、計測器９２１と同様の方法で、監視対象機器９３２の状態に関する各種の物理量を計測する。計測器９２２は、計測器９２１と同様の方法で、計測結果に基づいて監視対象機器９３２に対する監視データを生成する。 The measuring instrument 921 measures various physical quantities related to the state of the monitoring target device 931. The measuring instrument 921 generates monitoring data for the monitoring target device 931 based on the measurement result. Here, the monitoring data is, for example, acceleration, speed, temperature, differential temperature, insulation resistance, deterioration degree, current, and the like. The differential temperature is, for example, the difference between the motor temperature and the ambient temperature. The degree of deterioration is an index calculated from the disturbance of the current waveform. In addition, the measuring instrument 921 acquires information other than the physical quantities, for example, information such as communication errors and power on / off from the monitoring target device 931 and detects the information, and includes the information in the monitoring data. The measuring instrument 922 measures various physical quantities related to the state of the monitoring target device 932 by the same method as the measuring instrument 921. The measuring instrument 922 generates monitoring data for the monitoring target device 932 based on the measurement result in the same manner as the measuring instrument 921.
　計測器９２１および計測器９２２は、ネットワーク９０を介して、監視状態表示装置１０に接続されている。計測器９２１および計測器９２２は、それぞれが生成した監視データを、監視状態表示装置１０に送信する。 The measuring instrument 921 and the measuring instrument 922 are connected to the monitoring state display device 10 via the network 90. The measuring instrument 921 and the measuring instrument 922 transmit the monitoring data generated by each to the monitoring state display device 10.
　監視状態表示装置１０の通信制御部１５は、上述のネットワーク９０に接続されており、計測器９２１および計測器９２２との通信を制御する。監視データ取得部１１は、通信制御部１５およびネットワーク９０を介して、計測器９２１および計測器９２２から監視データを取得する。監視データ取得部１１は、監視データを、状態判定部１２および監視画像生成部１３に出力する。なお、監視データ取得部１１は、省略が可能であり、この場合、監視データは、状態判定部１２および監視画像生成部１３によって取得すればよい。 The communication control unit 15 of the monitoring state display device 10 is connected to the network 90 described above, and controls communication with the measuring instrument 921 and the measuring instrument 922. The monitoring data acquisition unit 11 acquires monitoring data from the measuring instrument 921 and the measuring instrument 922 via the communication control unit 15 and the network 90. The monitoring data acquisition unit 11 outputs the monitoring data to the state determination unit 12 and the monitoring image generation unit 13. The monitoring data acquisition unit 11 can be omitted, and in this case, the monitoring data may be acquired by the state determination unit 12 and the monitoring image generation unit 13.
　状態判定部１２は、監視データに基づいて、監視対象機器９３１および監視対象機器９３２の状態を判定する。ここで、機器の状態とは、少なくとも正常状態と異常状態とを含み、要注意状態を含むことが好ましい。要注意状態とは、異常状態ほど問題にはならないが正常状態と比較して悪化状態である。 The state determination unit 12 determines the states of the monitoring target device 931 and the monitoring target device 932 based on the monitoring data. Here, the state of the device includes at least a normal state and an abnormal state, and preferably includes a state requiring attention. The caution state is not as serious as an abnormal state but is a deterioration state compared to a normal state.
　この判定は、例えば、監視データが数値であれば、監視データに対して要注意状態または異常状態の基準値（しきい値）を設定し、監視データと基準値との比較によって実現される。また、この判定は、監視データがステータスを示すデータであれば、監視データのステータスと正常状態、異常状態、要注意状態に対応するステータスとの一致を検出することによって実現される。なお、この判定は、所定の時間間隔で逐次実行される。 For example, if the monitoring data is a numerical value, this determination is realized by setting a reference value (threshold value) of the caution state or the abnormal state to the monitoring data and comparing the monitoring data with the reference value. In addition, if the monitoring data is data indicating a status, this determination is realized by detecting a match between the status of the monitoring data and the status corresponding to the normal state, the abnormal state, and the caution state. This determination is sequentially performed at predetermined time intervals.
　また、この判定は、監視データ毎に行われる。例えば、監視対象機器に対して複数の監視データが存在する場合には、これら複数の監視データ毎に状態の判定が行われる。 Also, this determination is performed for each monitoring data. For example, when a plurality of monitoring data exist for the monitoring target device, the state determination is performed for each of the plurality of monitoring data.
　状態判定部１２は、判定した状態（状態判定結果）を、監視画像生成部１３に出力する。また、状態判定部１２は、監視対象機器の動作異常を取得し、監視画像生成部１３に出力する。動作異常とは、計測値からなる監視データに基づいて判定される異常ではなく、通信エラー、電源のオン／オフ等の監視対象機器の動作そのものの異常である。 The state determination unit 12 outputs the determined state (state determination result) to the monitoring image generation unit 13. In addition, the state determination unit 12 acquires an operation abnormality of the monitoring target device and outputs the operation abnormality to the monitoring image generation unit 13. The operation abnormality is not an abnormality determined based on monitoring data including measured values, but an abnormality in the operation itself of the monitored device such as a communication error, power on / off, and the like.
　監視画像生成部１３は、監視データおよび状態判定結果を記憶部１４に記憶する。監視画像生成部１３は、これら監視データまたは状態判定結果を用いて、上述の複数の態様のいずれかの監視画像を生成する。なお、複数の態様の監視画像の具体例は、後述する。 The monitoring image generation unit 13 stores the monitoring data and the state determination result in the storage unit 14. The monitoring image generation unit 13 generates a monitoring image in any of the above-described plurality of modes using the monitoring data or the state determination result. In addition, the specific example of the monitoring image of a several aspect is mentioned later.
　この際、監視画像生成部１３は、操作入力部１６によって、ユーザから監視画像に対して操作された内容を検出し、当該操作内容に応じた態様の監視画像を生成する。なお、操作入力部１６は、例えば、キーボード、マウス、タッチパネル等によって実現される。 At this time, the monitoring image generation unit 13 causes the operation input unit 16 to detect the content operated on the monitoring image by the user, and generates a monitoring image of an aspect according to the content of the operation. The operation input unit 16 is realized by, for example, a keyboard, a mouse, a touch panel, and the like.
　監視画像生成部１３は、生成した監視画像を表示部１７に出力する。表示部１７は、監視画像を表示する。 The monitoring image generation unit 13 outputs the generated monitoring image to the display unit 17. The display unit 17 displays a monitoring image.
　この監視状態表示装置１０および監視方法では、概略的に、次に示す処理によって、監視画像を決定して表示する。図４は、本発明の第１の実施形態に係る監視方法の概略を示すフローチャートである。 In the monitoring state display device 10 and the monitoring method, a monitoring image is determined and displayed by the following process. FIG. 4 is a flowchart showing an outline of a monitoring method according to the first embodiment of the present invention.
　まず、監視状態表示装置１０は、操作入力部１６によって、ユーザから表示態様の選択の受け付けを実行する（Ｓ１１）。監視状態表示装置１０の監視画像生成部１３は、監視対象機器をメインとする表示が選択されたか、監視データの種類をメインとする表示が選択されたかを判定する（Ｓ１２）。 First, the monitoring state display device 10 causes the operation input unit 16 to accept the selection of the display mode from the user (S11). The monitoring image generation unit 13 of the monitoring state display device 10 determines whether a display mainly for the monitoring target device is selected or a display mainly for the type of monitoring data is selected (S12).
　監視画像生成部１３は、監視対象機器をメインとする表示が選択されていれば、監視対象別画像を生成する（Ｓ１３）。監視画像生成部１３は、監視データの種類をメインとする表示が選択されていれば、監視種類別画像を生成する（Ｓ１４）。 The monitoring image generation unit 13 generates a monitoring target image if the display having the monitoring target device as the main is selected (S13). The monitoring image generation unit 13 generates an image classified by monitoring type if the display having the main type of monitoring data is selected (S14).
　さらに、本実施形態の監視状態表示装置１０および監視方法では、次に示す処理によって、予兆保全に関連するより多くのデータを含む監視画像を生成する。図５は、本発明の第１の実施形態に係る監視方法の具体的な処理例を示すフローチャートである。 Furthermore, in the monitoring state display device 10 and the monitoring method of the present embodiment, the following processing generates a monitoring image including more data related to predictive maintenance. FIG. 5 is a flowchart showing a specific processing example of the monitoring method according to the first embodiment of the present invention.
　監視状態表示装置１０の監視画像生成部１３は、後述の図６（Ａ）、図６（Ｂ）に示すような一覧画像を生成する（Ｓ２１）。この際、監視画像生成部１３は、選択結果に応じて、監視対象別状態一覧画像または監視種類別状態一覧画像を生成する。 The monitoring image generation unit 13 of the monitoring state display device 10 generates a list image as shown in FIG. 6 (A) and FIG. 6 (B) described later (S21). At this time, the monitoring image generation unit 13 generates a monitoring target status list image or a monitoring type status list image according to the selection result.
　監視画像生成部１３は、一覧画像に対する操作を受け付け（Ｓ２２）、その操作位置および操作内容（例えば、マウスによるシングルクリック、右クリック等）を検出する（Ｓ２３）。 The monitoring image generation unit 13 receives an operation on the list image (S22), and detects the operation position and the operation content (for example, single click by mouse, right click, etc.) (S23).
　監視画像生成部１３は、この操作内容に応じて、後述の図８、図１０に示すようなバーグラフ画像を生成する（Ｓ２４）。 The monitoring image generation unit 13 generates a bar graph image as shown in FIGS. 8 and 10 described later according to the contents of the operation (S24).
　監視画像生成部１３は、バーグラフ画像に対する操作入力を受け付け、その操作位置および操作内容を検出する（Ｓ２５）。監視画像生成部１３は、この操作が折れ線グラフ画像の生成対象であれば（Ｓ２６：ＹＥＳ）、後述の図１１に示すような折れ線グラフ画像を生成する（Ｓ２７）。 The monitoring image generation unit 13 receives an operation input to the bargraph image, and detects the operation position and the operation content (S25). If this operation is the generation target of a line graph image (S26: YES), the monitoring image generation unit 13 generates a line graph image as shown in FIG. 11 described later (S27).
　監視画像生成部１３は、この操作が折れ線グラフ画像の生成対象でなく（Ｓ２６：ＮＯ）、詳細状態画像の生成対象であれば（Ｓ２９：ＹＥＳ）、後述の図１３、図１６に示すような詳細状態画像を生成する（Ｓ３０）。 If this operation is not the generation target of the line graph image (S26: NO) and the generation of the detailed state image (S29: YES), the monitoring image generation unit 13 as shown in FIG. 13 and FIG. A detailed state image is generated (S30).
　また、監視画像生成部１３は、折れ線グラフ画像に対する操作入力を受け付け、その操作位置および操作内容を検出する（Ｓ２８）。監視画像生成部１３は、この操作が詳細状態画像の生成対象であれば（Ｓ２９：ＹＥＳ）、後述の図１３、図１６に示すような詳細状態画像を生成する（Ｓ３０）。 In addition, the monitoring image generation unit 13 receives an operation input to the line graph image, and detects the operation position and the operation content (S28). If this operation is a generation target of a detailed state image (S29: YES), the monitoring image generation unit 13 generates a detailed state image as shown in FIG. 13 and FIG. 16 described later (S30).
　このように、本実施形態の構成および処理を用いることによって、ユーザの所望する態様が異なる複数の監視画像を提供できる。これにより、予兆保全に有効な情報を、ユーザに分かり易く提供できる。 As described above, by using the configuration and processing of the present embodiment, it is possible to provide a plurality of monitoring images different in the aspect desired by the user. This enables the user to be provided with information that is effective for sign maintenance, in an easy-to-understand manner.
　次に、各監視画像の具体例を説明する。なお、以下の説明では、監視対象機器をモータとしている。しかしながら、監視対象機器は、これに限るものではない。また、監視対象機器数、監視対象の監視データの種類数も、以下で説明する個数に限るものではない。 Next, specific examples of each monitoring image will be described. In the following description, the monitoring target device is a motor. However, the monitoring target device is not limited to this. Further, the number of monitoring target devices and the number of types of monitoring data to be monitored are not limited to the number described below.
　（一覧画像）
　図６（Ａ）は、監視対象別状態一覧画像の一例を示す図であり、図６（Ｂ）は、監視種類別状態一覧画像の一例を示す図である。なお、図６（Ａ）、図６（Ｂ）では、図を見やすくするために、記号を一部にのみ付記し、同様の箇所への記号の付記は省略している。 (List image)
FIG. 6A is a view showing an example of the monitoring target classified state list image, and FIG. 6B is a view showing an example of the monitoring type classified state list image. 6 (A) and 6 (B), in order to make a figure intelligible, a symbol is added only to one part and the addition of the symbol to the same location is abbreviate | omitted.
　（監視対象別状態一覧画像）
　図６（Ａ）に示すように、監視対象別状態一覧画像７１Ａは、複数のアイコン７１１、表示切替用アイコン７０１を有する。複数のアイコン７１１は、監視対象機器（モータ）毎に設定されている。すなわち、８個のモータのそれぞれに対して、アイコン７１１が設定されている。複数のアイコン７１１は、対象別一覧画像７１Ａ上に配列されている。 (List of images by monitoring target)
As shown in FIG. 6A, the monitoring target status list image 71A has a plurality of icons 711 and a display switching icon 701. The plurality of icons 711 are set for each monitoring target device (motor). That is, the icon 711 is set for each of the eight motors. The plurality of icons 711 are arranged on the by-target list image 71A.
　アイコン７１１には、対応するモータの名称７１１１、このモータの状態を示すシンボルマーク７１１２、このモータの状態を示すテキストデータ７１１３、および、このモータの付加的異常を示すアイコン７１１４を有する。付加的異常とは、計測値からなる監視データに基づいて判定される異常ではなく、通信エラー、センサ等の電源のオン／オフ、動作異常等に基づく異常である。なお、アイコン７１１４は、省略することもできる。 The icon 711 has a name 7111 of the corresponding motor, a symbol mark 7112 indicating the state of the motor, text data 7113 indicating the state of the motor, and an icon 7114 indicating an additional abnormality of the motor. The additional abnormality is not an abnormality determined based on monitoring data including measured values, but is an abnormality based on a communication error, power on / off of a sensor or the like, an operation abnormality, or the like. The icon 7114 can also be omitted.
　シンボルマーク７１１２は、モータの状態に応じてデザインが異なる。例えば、図６（Ａ）では、穴開きの○印は正常状態を示し、穴開きの○印の中に「！」マークは、注意状態を示し、塗りつぶし○印に「！」マークは異常状態を示す。これらのシンボルマーク７１１２の状態と、テキストデータ７１１３の状態とは同期している。また、シンボルマーク７１１２は、状態に応じて色を異ならせてもよい。例えば、正常状態では緑色、注意状態では黄色、異常状態では赤色とする。これにより、視認性は更に向上する。 The design of the symbol mark 7112 differs according to the state of the motor. For example, in FIG. 6 (A), the 開 き mark on the hole shows a normal state, and the “!” Mark in the 印 mark on the hole shows a caution state, and the “!” Mark in the filled 印 mark is an abnormal state Indicates The state of these symbol marks 7112 and the state of the text data 7113 are synchronized. In addition, the symbol mark 7112 may have different colors depending on the state. For example, green in the normal state, yellow in the caution state, and red in the abnormal state. This further improves the visibility.
　なお、この正常状態、異常状態、および、要注意状態は、現在値の判定結果である。また、アイコン７１１に表示される状態およびシンボルマーク７１１２は、対象のモータに対する複数の監視データを用い、監視データ毎に判定した判定結果の中で、最も悪いものを抽出して示している。例えば、モータ１について、複数の監視データとして加速度、速度、温度、差温、絶縁抵抗、劣化度、および、電流の状態を取得し、全てが正常状態であれば、正常状態の表示を行う。また、複数の監視データの少なくとも１つが要注意状態であり、異常状態がなければ、要注意状態の表示を行う。また、複数の監視データの少なくとも１つが異常状態であれば、異常状態の表示を行う。 The normal state, the abnormal state, and the caution state are determination results of the current value. Further, the state displayed on the icon 711 and the symbol mark 7112 use the plurality of monitoring data for the target motor and extract the worst among the determination results determined for each monitoring data. For example, for the motor 1, the acceleration, speed, temperature, differential temperature, insulation resistance, deterioration degree, and current state are acquired as a plurality of monitoring data, and if all are normal states, the normal state is displayed. Further, if at least one of the plurality of monitoring data is in the caution state and there is no abnormal state, the caution state is displayed. If at least one of the plurality of monitoring data is in an abnormal state, an abnormal state is displayed.
　この表示により、ユーザは、複数のモータの状態を、容易に且つ分かり易く、一括して確認できる。 By this display, the user can easily and easily understand the states of the plurality of motors and collectively check them.
　（監視種類別状態一覧画像）
　図６（Ｂ）に示すように、監視種類別状態一覧画像７１Ｂは、複数のアイコン７１２、表示切替用アイコン７０１を有する。複数のアイコン７１２は、監視データの種類毎に設定されている。ここでは、監視データの種類は、加速度、速度、温度、差温、絶縁抵抗、劣化度、および、電流である。すなわち、８種類の監視データのそれぞれに対して、アイコン７１２が設定されている。複数のアイコン７１２は、監視種類別状態一覧画像７１Ｂ上に、監視に使用している監視種類別に配列されている。 (Status list image by monitoring type)
As shown in FIG. 6B, the monitoring type classified status list image 71B has a plurality of icons 712 and a display switching icon 701. The plurality of icons 712 are set for each type of monitoring data. Here, the types of monitoring data are acceleration, speed, temperature, differential temperature, insulation resistance, deterioration degree, and current. That is, the icon 712 is set for each of the eight types of monitoring data. The plurality of icons 712 are arranged on the monitoring type classified status list image 71B according to the monitoring type used for monitoring.
　アイコン７１２には、対応する監視データの種類７１２１、この監視データの状態を示すシンボルマーク７１２２、および、この監視データの状態を示すテキストデータ７１２３を有する。 The icon 712 has a corresponding type of monitoring data 7121, a symbol mark 7122 indicating the status of the monitoring data, and text data 7123 indicating the status of the monitoring data.
　シンボルマーク７１２２は、監視データの状態に応じてデザインが異なる。例えば、図６（Ｂ）では、穴開きの○印は正常状態を示し、穴開きの○印の中に「！」マークは、注意状態を示し、塗りつぶし○印に「！」マークは異常状態を示す。これらのシンボルマーク７１２２の状態と、テキストデータ７１２３の状態とは同期している。また、シンボルマーク７１２２は、状態に応じて色を異ならせてもよい。例えば、正常状態では緑色、注意状態では黄色、異常状態では赤色とする。これにより、視認性は更に向上する。 The symbol mark 7122 has a different design depending on the status of the monitoring data. For example, in FIG. 6 (B), the circled hole ○ indicates a normal state, and the hole! Indicated by an “!” Mark indicates a caution state, and a filled circle ○ indicates an “!” Mark abnormal state. Indicates The state of these symbol marks 7122 and the state of the text data 7123 are synchronized. In addition, the symbol mark 7122 may have different colors depending on the state. For example, green in the normal state, yellow in the caution state, and red in the abnormal state. This further improves the visibility.
　なお、この正常状態、異常状態、および、要注意状態は、現在値の判定結果である。また、アイコン７１２に表示される状態およびシンボルマーク７１２２は、対象の監視データに対する複数の監視対象機器の状態を用いて、最も悪いものを抽出して示している。例えば、加速度について、複数の監視対象機器としてモータ１からモータ８の状態を取得し、全てが正常状態であれば、正常状態の表示を行う。また、複数の監視対象機器の少なくとも１つが要注意状態であり、異常状態がなければ、要注意状態の表示を行う。また、複数の監視対象機器の少なくとも１つが異常状態であれば、異常状態の表示を行う。 The normal state, the abnormal state, and the caution state are determination results of the current value. The state displayed on the icon 712 and the symbol mark 7122 use the states of a plurality of monitoring target devices with respect to the target monitoring data to extract and show the worst. For example, regarding acceleration, the states of the motor 1 to the motor 8 are acquired as a plurality of monitoring target devices, and when all are normal states, the normal state is displayed. Further, if at least one of the plurality of monitored devices is in the caution state and there is no abnormal state, the caution state is displayed. If at least one of the plurality of monitored devices is in an abnormal state, an abnormal state is displayed.
　この表示により、ユーザは、複数の監視データの状態を、容易に且つ分かり易く、一括して確認できる。 By this display, the user can easily and easily understand the status of a plurality of monitoring data and collectively check it.
　なお、監視対象別状態一覧画像７１Ａおよび監視種類別状態一覧画像７１Ｂに含まれる表示切替用アイコン７０１は、例えば、図７のような形状である。図７は、表示切替用アイコンの形状を示す図である。 The display switching icon 701 included in the monitoring target status list image 71A and the monitoring type status list image 71B has, for example, a shape as shown in FIG. FIG. 7 is a view showing the shape of the display switching icon.
　図７に示すように、表示切替用アイコン７０１には、現在の画像の種類、すなわち、監視対象別状態一覧画像７１Ａであるか、監視種類別状態一覧画像７１Ｂであるかが表示されている。図７の例では、監視対象別状態一覧画像７１Ａに対しては「モータ別監視」が設定され、監視種類別状態一覧画像７１Ｂに対しては「監視種類別監視」が設定されている。さらに、表示切替用アイコン７０１は、選択操作によって、図７に示すように、選択可能な一覧画像が表示される。そして、表示切替用アイコン７０１によって選択操作されることで、「モータ別監視」と「監視種類別監視」との切り替え、すなわち、監視対象別状態一覧画像７１Ａと監視種類別状態一覧画像７１Ｂとの切り替えが実行される。これにより、ユーザは、その時点で予兆保全として有効な一覧画像を選択して確認できる。 As shown in FIG. 7, the display switching icon 701 displays the type of the current image, that is, whether it is the monitoring object classified state list image 71A or the monitoring type classified state list image 71B. In the example of FIG. 7, “monitoring by motor” is set for the monitoring target classified state list image 71A, and “monitoring by monitoring type” is set for the monitoring type classified state list image 71B. Furthermore, as the display switching icon 701 is selected, as shown in FIG. 7, selectable list images are displayed. When the display switching icon 701 is selected and operated, switching between “monitoring by motor” and “monitoring by monitoring type”, that is, the monitoring target status list image 71A and the monitoring type status list image 71B. A switch is performed. As a result, the user can select and confirm a list image effective as predictive maintenance at that time.
　そして、上述の監視対象別状態一覧画像７１Ａのアイコン７１１の選択操作を受け付けると、次に示す監視対象別バーグラフ画像７２が生成され、表示される。また、アイコン７１１４の選択操作を受け付けると、付加的異常を含む後述の詳細状態画像７５が生成され、表示される。 Then, when a selection operation of the icon 711 of the monitoring object classified state list image 71A is received, a monitoring object classified bar graph image 72 shown below is generated and displayed. Further, when a selection operation of the icon 7114 is received, a later-described detailed state image 75 including an additional abnormality is generated and displayed.
　また、上述の種類別一覧画像７１Ｂのアイコン７１２の選択操作を受け付けると、次に示す監視種類別バーグラフ画像７３が生成され、表示される。これにより、ユーザは、監視対象機器別、または、監視データの種類別の更なる情報を、容易に確認できる。 Further, when a selection operation of the icon 712 of the above-described type-classified list image 71B is received, a monitoring type-classified bar graph image 73 shown below is generated and displayed. As a result, the user can easily confirm the additional information by monitoring target device or monitoring data type.
　（バーグラフ画像）
　図８は、監視対象別のバーグラフ画像の一例を示す図である。図９は、バーグラフの一部を拡大した図である。図１０は、監視種類別のバーグラフ画像の一例を示す図である。 (Bar graph image)
FIG. 8 is a view showing an example of a bar graph image for each monitoring target. FIG. 9 is an enlarged view of a part of the bar graph. FIG. 10 is a view showing an example of a bar graph image classified by monitoring type.
　（監視対象別バーグラフ画像）
　図８に示すように、監視対象別バーグラフ画像７２は、監視対象機器一覧ウィンドウ７２１、バーグラフ表示ウィンドウ７２２を有する。また、監視対象別バーグラフ画像７２は、表示切替用アイコン７０１、グラフ選択用アイコン７０２、および、スケール切替用アイコン７０３を有する。 (Bargraph image by monitoring target)
As shown in FIG. 8, the monitoring target classified bar graph image 72 has a monitoring target device list window 721 and a bar graph display window 722. Further, the monitoring target-classified bar graph image 72 has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703.
　監視対象機器一覧ウィンドウ７２１は、監視対象機器表示ウィンドウ７２１１、状態表示アイコン７２１２を有する。監視対象機器表示ウィンドウ７２１１は、現在監視している監視対象機器数に応じた数が配列して表示されている。監視対象機器表示ウィンドウ７２１１には、それぞれの名称（例えば、モータ１、モータ２等）が記載されている。状態表示アイコン７２１２は、監視対象機器の要注意状態または異常状態に応じたアイコンであり、要注意状態または異常状態にある監視対象機器の監視対象機器表示ウィンドウ７２１１内に表示されている。これにより、ユーザは、要注意状態または異常状態にある監視対象機器を容易に確認できる。 The monitoring target device list window 721 has a monitoring target device display window 7211 and a status display icon 7212. The monitoring target device display window 7211 displays the numbers according to the number of monitoring target devices currently being monitored. In the monitoring target device display window 7211, respective names (for example, the motor 1, the motor 2 and the like) are described. The status display icon 7212 is an icon corresponding to the caution state or the abnormal state of the monitoring target device, and is displayed in the monitoring target device display window 7211 of the monitoring target device in the caution state or the abnormal state. As a result, the user can easily confirm the monitoring target device in the caution state or the abnormal state.
　バーグラフ表示ウィンドウ７２２は、監視対象機器一覧ウィンドウ７２１にて選択された監視対象機器の状態を示すバーグラフ７２４を有する。バーグラフ７２４は、監視対象機器の計測に用いるデバイス毎に生成されている。バーグラフ７２４は、１つのデバイスに対して監視データ毎（例えば、加速度、速度、温度、差温等）に生成され、それぞれのバーグラフの時刻が一致するように、配列されている。 The bar graph display window 722 has a bar graph 724 indicating the state of the monitoring target device selected in the monitoring target device list window 721. The bar graph 724 is generated for each device used to measure the monitoring target device. The bar graphs 724 are generated for each monitoring data (for example, acceleration, velocity, temperature, differential temperature, etc.) for one device, and are arranged such that the times of the respective bar graphs coincide.
　また、バーグラフ表示ウィンドウ７２２は、バーグラフ７２４毎に当該状態を検出する監視デバイス名７２３、および、現在の状態を示すアイコン７２５を有する。なお、アイコン７２５は、少なくとも要注意状態と異常状態とを判別できるものであればよい。 The bar graph display window 722 also has a monitoring device name 723 for detecting the state for each bar graph 724, and an icon 725 indicating the current state. The icon 725 may be any one that can discriminate at least the caution state and the abnormal state.
　図９に示すように、バーグラフ７２４は、項目表示ウィンドウ７２６、および、バーグラフ表示ウィンドウ７２７を有する。 As shown in FIG. 9, the bar graph 724 has an item display window 726 and a bar graph display window 727.
　項目表示ウィンドウ７２６は、監視データの名称７２６１、監視データの計測値７２６２、監視データの単位記号７２６３、監視データの現在の状態を示すアイコン７２６４を有する。この際、監視データの計測値７２６２は、監視データが要注意状態または異常状態であると、それぞれの状態に応じた強調表示がされる。これにより、ユーザは、各監視データが現在、要注意状態または異常状態であることを、容易に分かり易く確認できる。また、この状態は、アイコン７２６４によっても確認できる。 The item display window 726 has a name 7261 of monitoring data, a measured value 7262 of monitoring data, a unit symbol 7263 of monitoring data, and an icon 7264 indicating the current state of the monitoring data. At this time, when the monitoring data is in the caution state or an abnormal state, the measured value 7262 of the monitoring data is highlighted according to each state. As a result, the user can easily and easily confirm that each monitoring data is currently in the caution state or the abnormal state. This state can also be confirmed by the icon 7264.
　バーグラフ表示ウィンドウ７２７には、監視データの状態に応じてそれぞれに異なる表示態様のバー７２７１が、時系列に表示されている。また、バーグラフ表示ウィンドウ７２７には、監視データの状態が変化した時刻７２７２が表示されている。このようなバーグラフを用いることによって、ユーザは、監視データの状態の時間遷移を、容易に分かり易く確認できる。また、時刻７２７２によって、状態が変化した時刻を、容易に確認できる。 In the bar graph display window 727, bars 7271 of different display modes are displayed in time series according to the state of the monitoring data. The bar graph display window 727 also displays the time 7272 when the state of the monitoring data has changed. By using such a bar graph, the user can easily confirm the time transition of the state of monitoring data in an easy-to-understand manner. Further, the time when the state has changed can be easily confirmed by the time 7272.
　このようなバーグラフの画像を用いることによって、ユーザは、各監視対象機器における各監視データの状態の時間遷移を容易に且つ分かり易く確認できる。すなわち、監視対象機器の時系列変化を捉えることができ、予兆保全に必要となる情報を取得できる。 By using such an image of a bar graph, the user can easily and easily confirm the time transition of the state of each monitoring data in each monitoring target device. That is, it is possible to capture time-series changes of the monitoring target device, and obtain information necessary for sign maintenance.
　（監視種類別バーグラフ画像）
　図１０に示すように、監視種類別バーグラフ画像７３は、監視データ一覧ウィンドウ７３１、バーグラフ表示ウィンドウ７３２を有する。また、監視種類別バーグラフ画像７３は、表示切替用アイコン７０１、グラフ選択用アイコン７０２、および、スケール切替用アイコン７０３を有する。 (Bargraph image by monitoring type)
As shown in FIG. 10, the monitoring type bar graph image 73 has a monitoring data list window 731 and a bar graph display window 732. Also, the monitoring type-based bar graph image 73 has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703.
　監視データ一覧ウィンドウ７３１は、監視データ表示ウィンドウ７３１１、状態表示アイコン７３１２を有する。監視データ表示ウィンドウ７３１１は、現在監視している監視データの種類数に応じた数が配列して表示されている。監視データ表示ウィンドウ７３１１には、それぞれの名称（例えば、加速度、速度等）が記載されている。状態表示アイコン７３１２は、監視データの要注意状態または異常状態に応じたアイコンであり、要注意状態または異常状態にある監視データの監視データ表示ウィンドウ７３１１内に表示されている。これにより、ユーザは、要注意状態または異常状態にある監視データを容易に確認できる。 The monitoring data list window 731 has a monitoring data display window 7311 and a status display icon 7312. The monitoring data display window 7311 displays the numbers according to the number of types of monitoring data currently being monitored. Each name (for example, acceleration, velocity, etc.) is described in the monitoring data display window 7311. The status display icon 7312 is an icon corresponding to the caution state or abnormal state of the monitoring data, and is displayed in the monitoring data display window 7311 of the monitoring data in the caution state or abnormal state. Thereby, the user can easily confirm the monitoring data in the caution state or the abnormal state.
　バーグラフ表示ウィンドウ７３２は、監視データ一覧ウィンドウ７３１にて選択された監視データの状態を示すバーグラフ７３４を有する。また、バーグラフ７２４は、１つの監視データに対して監視対象機器毎（例えば、モータ１、モータ２等）に生成され、それぞれのバーグラフの時刻が一致するように、配列されている。 The bar graph display window 732 has a bar graph 734 indicating the status of the monitoring data selected in the monitoring data list window 731. The bar graphs 724 are generated for each monitoring target device (for example, motor 1, motor 2, etc.) for one monitoring data, and are arranged so that the time of each bar graph matches.
　また、バーグラフ表示ウィンドウ７３２は、バーグラフ７３４毎に当該状態を検出する監視データ名７３３、および、現在の状態を示すアイコン７３５を有する。なお、アイコン７３５は、少なくとも要注意状態と異常状態とを判別できるものであればよい。 The bar graph display window 732 has, for each bar graph 734, a monitoring data name 733 for detecting the state, and an icon 735 indicating the current state. The icon 735 may be any icon that can discriminate at least the caution state and the abnormal state.
　バーグラフ７３４は、バーグラフ７２４と同様に、項目表示ウィンドウ、および、バーグラフ表示ウィンドウを有する。 Similar to the bar graph 724, the bar graph 734 has an item display window and a bar graph display window.
　項目表示ウィンドウは、監視対象機器の名称、監視データの計測値、監視データの単位記号、監視データの現在の状態を示すアイコンを有する。この際、監視データの計測値は、監視データが要注意状態または異常状態であると、それぞれの状態に応じた強調表示がされる。これにより、ユーザは、所望とする監視データに対してどの監視対象機器が現在、要注意状態または異常状態であることを、容易に分かり易く確認できる。また、この状態は、アイコンによっても確認できる。 The item display window has the name of the monitored device, the measured value of the monitored data, the unit symbol of the monitored data, and an icon indicating the current status of the monitored data. At this time, when the monitoring data is in the caution state or an abnormal state, the measured value of the monitoring data is highlighted according to each state. As a result, the user can easily confirm, with respect to desired monitoring data, which monitoring target device is currently in the caution state or abnormal state. This state can also be confirmed by an icon.
　バーグラフ表示ウィンドウには、監視データの状態に応じてそれぞれに異なる表示態様のバーが、時系列に表示されている。また、バーグラフ表示ウィンドウには、監視データの状態が変化した時刻が表示されている（図１０では図示を省略している）。このようなバーグラフを用いることによって、ユーザは、監視データを基準とした各監視対象機器の状態の時間遷移を、容易に分かり易く確認できる。また、時刻によって、状態が変化した時刻を、容易に確認できる。 In the bar graph display window, bars of different display modes are displayed in time series according to the state of the monitoring data. The bar graph display window also displays the time when the status of the monitoring data has changed (not shown in FIG. 10). By using such a bar graph, the user can easily confirm the time transition of the state of each monitoring target device based on the monitoring data in an easy-to-understand manner. Also, the time when the state has changed can be easily confirmed by the time.
　このようなバーグラフの画像を用いることによって、ユーザは、各監視データにおける各監視対象機器の状態の時間遷移を容易に且つ分かり易く確認できる。すなわち、監視データを基準として、予兆保全に必要となる情報を確認できる。 By using such an image of a bar graph, the user can easily and easily understand the time transition of the state of each monitoring target device in each monitoring data. That is, it is possible to confirm information required for predictive maintenance based on monitoring data.
　そして、このようなバーグラフを用いることによって、膨大な数および種類のデータの状態遷移を概略的にひと目で把握できる。これにより、高い保全スキルを有さなくても、予兆保全が可能になり、また、保全工数を削減できる。また、状態の変化、および、変化時間が容易に把握できるので、原因分析や保全計画の策定の助けになる。これにより、保全活動の効率が向上する。 And, by using such a bar graph, it is possible to grasp at a glance the state transition of a huge number and types of data. This enables predictive maintenance without having high maintenance skills, and can reduce the number of maintenance steps. In addition, changes in conditions and change times can be easily grasped, which helps in the analysis of causes and the development of maintenance plans. This improves the efficiency of maintenance activities.
　なお、監視対象別バーグラフ画像７２および監視種類別バーグラフ画像７３において、グラフ選択用アイコン７０２を操作し、後述の図１１に示すような折れ線グラフを表示することができる。この際、バーグラフと折れ線グラフとを同時に表示してもよく、バーグラフに換えて折れ線グラフを表示してもよい。 It should be noted that in the monitoring target classified bar graph image 72 and the monitoring type classified bar graph image 73, the graph selection icon 702 can be operated to display a line graph as shown in FIG. 11 described later. At this time, the bar graph and the line graph may be simultaneously displayed, or the line graph may be displayed instead of the bar graph.
　また、スケール切替用アイコン７０３を操作することによって、バーグラフの時間軸のスケールを変更できる。これにより、ユーザは、所望とする時間スケールで、状態の時間遷移を確認できる。 Also, by operating the scale switching icon 703, the scale of the bar graph time axis can be changed. Thereby, the user can confirm the time transition of the state on the desired time scale.
　（折れ線グラフ画像）
　図１１は、監視対象別の折れ線グラフ画像の一例を示す図である。図１２は、折れ線グラフの一部を拡大した図である。なお、以下では、バーグラフと折れ線グラフとを同時に表示する態様を示すが、バーグラフを省略することもできる。 (Line graph image)
FIG. 11 is a view showing an example of a line graph image for each monitoring target. FIG. 12 is an enlarged view of a part of the line graph. In addition, although the aspect which displays a bar graph and a line graph simultaneously is shown below, a bar graph can also be abbreviate | omitted.
　図１１に示すように、折れ線グラフ画像７４は、監視対象機器一覧ウィンドウ７４１、グラフ表示ウィンドウ７４２を有する。また、折れ線グラフ画像７４は、表示切替用アイコン７０１、グラフ選択用アイコン７０２、および、スケール切替用アイコン７０３を有する。 As shown in FIG. 11, the line graph image 74 has a monitoring target device list window 741 and a graph display window 742. Further, the line graph image 74 has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703.
　監視対象機器一覧ウィンドウ７４１は、上述の監視対象機器一覧ウィンドウ７２１と同様に、監視対象機器表示ウィンドウ、状態表示アイコンを有する。監視対象機器表示ウィンドウは、現在監視している監視対象機器数に応じた数が配列して表示されている。監視対象機器表示ウィンドウには、それぞれの名称（例えば、モータ１、モータ２等）が記載されている。状態表示アイコンは、監視対象機器の要注意状態または異常状態に応じたアイコンであり、要注意状態または異常状態にある監視対象機器の監視対象機器表示ウィンドウ内に表示されている。これにより、ユーザは、要注意状態または異常状態にある監視対象機器を容易に確認できる。 The monitoring target device list window 741 has a monitoring target device display window and a status display icon, as in the above-described monitoring target device list window 721. The monitoring target device display window displays the numbers according to the number of monitoring target devices currently being monitored. Each name (for example, motor 1, motor 2 etc.) is described in the monitoring object apparatus display window. The status display icon is an icon corresponding to the caution state or abnormal state of the monitoring target device, and is displayed in the monitoring target device display window of the monitoring target device in the caution state or abnormal state. As a result, the user can easily confirm the monitoring target device in the caution state or the abnormal state.
　グラフ表示ウィンドウ７４２は、監視対象機器一覧ウィンドウ７４１にて選択された監視対象機器の状態を示すバーグラフ７４４および折れ線グラフ７４６を有する。バーグラフ７４４および折れ線グラフ７４６は、監視対象機器の計測に用いるデバイス毎に生成されている。バーグラフ７４４と折れ線グラフ７４６とは、時刻同期して表示されている。バーグラフ７４４および折れ線グラフ７４６は、１つのデバイスに対して監視データ毎（例えば、加速度、速度、温度、差温等）に生成され、それぞれのバーグラフの時刻が一致するように、配列されている。 The graph display window 742 has a bar graph 744 and a line graph 746 indicating the state of the monitored device selected in the monitored device list window 741. The bar graph 744 and the line graph 746 are generated for each device used for measurement of the monitoring target device. The bar graph 744 and the line graph 746 are displayed in synchronization with time. The bar graph 744 and the line graph 746 are generated for each monitoring data (for example, acceleration, speed, temperature, differential temperature, etc.) for one device, and are arranged so that the time of each bar graph matches. There is.
　また、グラフ表示ウィンドウ７４２は、バーグラフ７４４および折れ線グラフ７４６毎に当該状態を検出する監視デバイス名７４３、および、現在の状態を示すアイコン７４５を有する。なお、アイコン７４５は、少なくとも要注意状態と異常状態とを判別できるものであればよい。 The graph display window 742 also has a monitoring device name 743 for detecting the state for each of the bar graph 744 and the line graph 746, and an icon 745 indicating the current state. The icon 745 may be any icon that can discriminate at least the caution state and the abnormal state.
　図１２に示すように、折れ線グラフ７４６は、横軸７４６１、縦軸７４６２、折れ線７４６３、要注意基準線７４６４、異常基準線７４６５、要注意領域背景７４６６、および、異常領域背景７４６７を有する。 As shown in FIG. 12, the line graph 746 has a horizontal axis 7461, a vertical axis 7462, a broken line 7463, a caution reference line 7464, an anomaly reference line 7465, a caution region background 7466, and an anomaly region background 7467.
　横軸７４６１には、時刻が表示され、縦軸７４６２は、計測値の目盛りが表示される。この横軸７４６１と縦軸７４６２とからなる平面において、監視データである計測値に応じた折れ線７４６３が表示される。また、要注意基準線７４６４は、要注意状態を判定するしきい値に基づいて表示されており、異常基準線７４６５は、異常状態を判定するしきい値に基づいて表示されている。要注意領域背景７４６６は、要注意状態を判定するしきい値と異常状態を判定するしきい値との間の領域に表示され、異常領域背景７４６７は、異常状態を判定するしきい値よりも高い値の領域に表示されている。要注意領域背景７４６６と異常領域背景７４６７とは、異なる色が設定されており、これらは正常状態を示す領域（要注意状態を判定するしきい値よりも低い値の領域）とも異なる色が設定されている。 The horizontal axis 7461 displays time, and the vertical axis 7462 displays a scale of measurement values. In a plane formed by the horizontal axis 7461 and the vertical axis 7462, a broken line 7463 corresponding to the measurement value as monitoring data is displayed. Further, the caution base line 7464 is displayed based on a threshold for determining the caution state, and the abnormality reference line 7465 is displayed based on the threshold for determining the abnormal state. The caution area background 7466 is displayed in the area between the threshold for determining the caution state and the threshold for determining the abnormal state, and the abnormal area background 7467 is higher than the threshold for determining the abnormal state. It is displayed in the high value area. Different colors are set for the caution area background 7466 and the abnormal area background 7467, and these are also set to a color different from the area indicating the normal state (the area having a value lower than the threshold for determining the attention required state). It is done.
　このような折れ線グラフを用いることによって、ユーザは、監視データの状態の時間遷移を、より詳細に確認できる。また、要注意基準線７４６４、異常基準線７４６５を用いることによって、要注意状態、異常状態への遷移状態をより分かり易く、詳細に確認できる。さらに、要注意領域背景７４６６、および、異常領域背景７４６７を用いることによって、要注意状態、異常状態への遷移状態をより分かり易く確認できる。 By using such a line graph, the user can confirm the time transition of the state of monitoring data in more detail. Further, by using the caution reference line 7464 and the abnormality reference line 7465, the transition state to the caution state and the abnormal state can be more easily understood and can be confirmed in detail. Furthermore, by using the critical area background 7466 and the abnormal area background 7467, the transition state to the critical state or the abnormal state can be confirmed more easily.
　そして、このような折れ線グラフを用いることによって、わずかな兆候であっても容易に確認でき、精密な状態監視を実現できる。これにより、精密な予兆保全を実現できる。また、要注意基準線および異常基準線を用いることによって、監視データ、すなわち、機器の状態がどのように要注意状態および異常状態に遷移していくかを、精密に把握でき、高い保全スキルを要することなく、予兆保全を確実に実現できる。 And by using such a line graph, even a slight symptom can be easily confirmed, and precise condition monitoring can be realized. Thus, precise predictive maintenance can be realized. In addition, by using the critical reference line and the abnormal reference line, it is possible to precisely grasp monitoring data, that is, how the state of the device transitions to the critical state and the abnormal state, and high maintenance skills can be obtained. Precautionary maintenance can be realized without any need.
　また、バーグラフと折れ線グラフとを並べて表示する態様では、概略的な状態遷移と、詳細な状態遷移とを同時に比較しながら確認できる。これにより、予兆保全に有効な情報を、より多く、一括して確認でき、予兆保全に有効である。 Further, in the aspect in which the bar graph and the line graph are displayed side by side, it is possible to check while simultaneously comparing the schematic state transition and the detailed state transition. As a result, more effective information for sign maintenance can be confirmed collectively and is effective for sign maintenance.
　なお、図示していないが、監視データを基準として、監視対象機器毎に折れ線グラフを生成してもよい。 Although not illustrated, a line graph may be generated for each monitoring target device based on the monitoring data.
　（監視対象別詳細状態画像）
　図１３は、監視対象別詳細状態画像の一例を示す図である。図１３に示すように、監視対象別詳細状態画像７５は、デバイス一覧ウィンドウ７５１、詳細内容表示ウィンドウ７５２を有する。詳細内容表示ウィンドウ７５２は、計測値表示ウィンドウ７５３、ステータス表示ウィンドウ７５４、および、グラフ表示ウィンドウ７５５を備える。グラフ表示ウィンドウ７５５は、上述のグラフ表示ウィンドウ７４２と同様であり、説明は省略する。 (Detailed state image by monitoring target)
FIG. 13 is a view showing an example of the monitoring target classified detailed state image. As shown in FIG. 13, the monitoring target-based detailed state image 75 has a device list window 751 and a detailed content display window 752. The detailed content display window 752 includes a measurement value display window 753, a status display window 754, and a graph display window 755. The graph display window 755 is similar to the graph display window 742 described above, and the description is omitted.
　また、監視対象別詳細状態画像７５は、表示切替用アイコン７０１、グラフ選択用アイコン７０２、および、スケール切替用アイコン７０３を有する。これらも、上述の各画像と同様であり、説明は省略する。 Further, the monitoring target classified detailed state image 75 has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703. These are also the same as the above-described respective images, and the description will be omitted.
　デバイス一覧ウィンドウ７５１は、機器名称ウィンドウ７５１１、監視デバイス表示ウィンドウ７５１２を有する。 The device list window 751 has a device name window 7511 and a monitoring device display window 7512.
　機器名称ウィンドウ７５１１には、要注意状態または異常状態に応じたアイコンが表示されている。これにより、ユーザは、要注意状態または異常状態にあることを容易に確認できる。 In the device name window 7511, icons corresponding to the caution state or the abnormal state are displayed. Thereby, the user can easily confirm that the user is in the caution state or the abnormal state.
　監視デバイス表示ウィンドウ７５１２は、現在監視している監視対象機器のデバイス数に応じた数が配列して表示されている。監視デバイス表示ウィンドウ７５１２には、それぞれの名称（例えば、図１３であれば、Ｋ６ＣＭ－ＶＢ等）が記載されている。 The monitoring device display window 7512 displays the numbers according to the number of devices of the monitoring target devices currently being monitored. In the monitoring device display window 7512, respective names (for example, in the case of FIG. 13, K6CM-VB etc.) are described.
　計測値表示ウィンドウ７５３には、機器名称ウィンドウ７５１１に示されている監視対象機器の各種の計測値が表示されている。図１４は、計測値表示ウィンドウの一例を示す図である。図１４に示すように、計測値表示ウィンドウには、計測値の種類（名称）、計測値、および、計測値の単位が表示されている。例えば、計測値の種類としては、図１４に示すように、運転積算、トリガ回数、加速度（現在値）、加速度（ＭＩＮ（最小値））、モータ温度（現在値）、モータ温度（ＭＩＮ（最小値））、モータ温度（ＭＡＸ（最大値））、差温（現在値）がある。なお、運転積算は、監視対象機器の寿命の目安になる指標である。また、トリガ回数は、計測のオン／オフトリガの使用回数である。 In the measurement value display window 753, various measurement values of the monitoring target device shown in the device name window 7511 are displayed. FIG. 14 is a view showing an example of the measurement value display window. As shown in FIG. 14, in the measurement value display window, the type (name) of the measurement value, the measurement value, and the unit of the measurement value are displayed. For example, as the types of measurement values, as shown in FIG. 14, operation integration, number of triggers, acceleration (current value), acceleration (MIN (minimum value)), motor temperature (current value), motor temperature (MIN (minimum Values), motor temperature (MAX (maximum value)), differential temperature (current value). The operation integration is an index that is an indicator of the life of the monitored device. Also, the number of triggers is the number of times the measurement on / off trigger is used.
　計測値表示ウィンドウ７５３では、要注意状態および異常状態にある計測値に対して強調表示が施されている。 In the measured value display window 753, the highlighted display is performed on the measured values in the caution state and the abnormal state.
　このような計測値の表示を行うことで、ユーザは、監視データに関するより詳細な情報を確認できる。 By displaying such measurement values, the user can confirm more detailed information on monitoring data.
　ステータス表示ウィンドウ７５４には、機器名称ウィンドウ７５１１に示されている監視対象機器の各種のステータスが表示されている。 In the status display window 754, various statuses of the monitoring target device shown in the device name window 7511 are displayed.
　図１５（Ａ）、図１５（Ｂ）は、ステータス表示ウィンドウの一例を示す図である。図１５（Ａ）、図１５（Ｂ）に示すように、ステータス表示ウィンドウには、監視対象機器の状態把握に有効な各種のステータスが表示されている。例えば、ステータスとしては、図１５（Ａ）、図１５（Ｂ）に示すように、加速度未計測状態、加速度入力異常、加速度警報（注意）、加速度警報（異常）、モータ温度未計測状態、モータ温度入力異常、モータ温度警報（注意）、モータ温度警報（異常）、計測ＣＰＵ異常、計測ＣＰＵデータフラッシュ異常、メインＣＰＵ異常、メインＣＰＵデータフラッシュ異常、運転積算状態、計測状態、トリガ入力、異常出力等がある。すなわち、ステータスとは、計測値によって判定可能な状態ではなく、計測デバイスに関する異常等を表すものである。 FIG. 15A and FIG. 15B are diagrams showing an example of the status display window. As shown in FIGS. 15 (A) and 15 (B), various statuses effective for grasping the status of the monitoring target device are displayed in the status display window. For example, as statuses, as shown in FIGS. 15A and 15B, acceleration non-measurement state, acceleration input abnormality, acceleration alarm (attention), acceleration alarm (abnormal), motor temperature non-measurement state, motor Temperature input error, motor temperature alarm (attention), motor temperature alarm (error), measurement CPU error, measurement CPU data flash error, main CPU error, main CPU data flash error, operation integration status, measurement status, trigger input, error output Etc. That is, the status is not a state that can be determined by the measurement value but represents an abnormality or the like related to the measurement device.
　ステータス表示ウィンドウ７５４には、異常状態と判定されたステータスに対して、異常状態を示すアイコンが添えられている。 In the status display window 754, an icon indicating an abnormal state is attached to the status determined to be an abnormal state.
　このようなステータスの表示を行うことで、ユーザは、計測値に基づく監視データのみでなく、より多様で詳細な情報を確認できる。 By displaying such statuses, the user can confirm not only monitoring data based on measurement values but also more various and detailed information.
　そして、このような表示を行うことによって、ユーザは、監視対象機器を基準にした詳細な情報を、分かり易く確認できる。 Then, by performing such display, the user can easily confirm the detailed information based on the monitoring target device.
　（種類別詳細状態画像）
　図１６は、種類別詳細状態画像の一例を示す図である。図１６に示すように、種類別詳細状態画像７６は、監視対象機器一覧ウィンドウ７６１、詳細内容表示ウィンドウ７６２を有する。詳細内容表示ウィンドウ７６２は、計測値表示ウィンドウ７６３、ステータス表示ウィンドウ７６４、および、グラフ表示ウィンドウ７６５を備える。詳細内容表示ウィンドウ７６２は、上述の詳細内容表示ウィンドウ７５２と同様であり、説明は省略する。 (Detailed state image by type)
FIG. 16 is a view showing an example of the type-specific detailed state image. As shown in FIG. 16, the type-specific detailed state image 76 has a monitoring target device list window 761 and a detailed content display window 762. The detailed content display window 762 includes a measurement value display window 763, a status display window 764, and a graph display window 765. The detailed content display window 762 is similar to the above-described detailed content display window 752, and the description thereof is omitted.
　また、種類別詳細状態画像７６は、表示切替用アイコン７０１、グラフ選択用アイコン７０２、および、スケール切替用アイコン７０３を有する。これらも、上述の各画像と同様であり、説明は省略する。 The type-specific detailed state image 76 also has a display switching icon 701, a graph selection icon 702, and a scale switching icon 703. These are also the same as the above-described respective images, and the description will be omitted.
　監視対象機器一覧ウィンドウ７６１は、監視データ名称ウィンドウ７６１１、監視対象機器表示ウィンドウ７６１２を有する。 The monitoring target device list window 761 has a monitoring data name window 7611 and a monitoring target device display window 7612.
　監視データ名称ウィンドウ７６１１には、要注意状態または異常状態に応じたアイコンが表示されている。これにより、ユーザは、要注意状態または異常状態にあることを容易に確認できる。 The monitoring data name window 7611 displays icons corresponding to the caution state or the abnormal state. Thereby, the user can easily confirm that the user is in the caution state or the abnormal state.
　監視対象機器表示ウィンドウ７６１２は、現在監視している監視データに対応する監視対象機器数に応じた数が配列して表示されている。監視対象機器表示ウィンドウ７６１２には、それぞれの名称（例えば、図１６であれば、モータ１等）が記載されている。 The monitoring target device display window 7612 displays the numbers according to the number of monitoring target devices corresponding to the monitoring data currently being monitored. In the monitoring target device display window 7612, respective names (for example, in the case of FIG. 16, the motor 1 etc.) are described.
　そして、このような表示を行うことによって、ユーザは、監視データの種類を基準にした詳細な情報を、分かり易く確認できる。
Then, by performing such a display, the user can easily confirm detailed information based on the type of monitoring data.
１：監視システム
１０：監視状態表示装置
１１：監視データ取得部
１２：状態判定部
１３：監視画像生成部
１４：記憶部
１５：通信制御部
１６：操作入力部
１７：表示部
７１Ａ：監視対象別状態一覧画像
７１Ｂ：監視種類別状態一覧画像
７２：監視対象別バーグラフ画像
７３：監視種類別バーグラフ画像
７４：折れ線グラフ画像
７５：監視対象別詳細状態画像
７６：監視種類別詳細状態画像
９０：ネットワーク
７０１：表示切替用アイコン
７０２：グラフ選択用アイコン
７０３：スケール切替用アイコン
７１１：アイコン
７１２：アイコン
７２１：監視対象機器一覧ウィンドウ
７２２：バーグラフ表示ウィンドウ
７２３：監視デバイス名
７２４：バーグラフ
７２５：アイコン
７２６：項目表示ウィンドウ
７２７：バーグラフ表示ウィンドウ
７３１：監視データ一覧ウィンドウ
７３２：バーグラフ表示ウィンドウ
７３３：監視データ名
７３４：バーグラフ
７３５：アイコン
７４１：監視対象機器一覧ウィンドウ
７４２：グラフ表示ウィンドウ
７４３：監視デバイス名
７４４：バーグラフ
７４５：アイコン
７４６：線グラフ
７５１：デバイス一覧ウィンドウ
７５２：詳細内容表示ウィンドウ
７５３：計測値表示ウィンドウ
７５４：ステータス表示ウィンドウ
７５５：グラフ表示ウィンドウ
７６１：監視対象機器一覧ウィンドウ
７６２：詳細内容表示ウィンドウ
７６３：計測値表示ウィンドウ
７６４：ステータス表示ウィンドウ
７６５：グラフ表示ウィンドウ
９２１、９２２：計測器
９３１、９３２：監視対象機器
７１１１：名称
７１１２：シンボルマーク
７１１３：テキストデータ
７１１４：アイコン
７１２１：種類
７１２２：シンボルマーク
７１２３：テキストデータ
７２１１：監視対象機器表示ウィンドウ
７２１２：状態表示アイコン
７２６１：名称
７２６２：計測値
７２６３：単位記号
７２６４：アイコン
７２７１：バー
７２７２：時刻
７３１１：監視データ表示ウィンドウ
７３１２：状態表示アイコン
７４６１：横軸
７４６２：縦軸
７４６３：線
７４６４：要注意基準線
７４６５：異常基準線
７４６６：要注意領域背景
７４６７：異常領域背景
７５１１：機器名称ウィンドウ
７５１２：監視デバイス表示ウィンドウ
７６１１：監視データ名称ウィンドウ
７６１２：監視対象機器表示ウィンドウ 1: Monitoring system 10: Monitoring status display device 11: Monitoring data acquisition unit 12: Status determination unit 13: Monitoring image generation unit 14: Storage unit 15: Communication control unit 16: Operation input unit 17: Display unit 71A: Separate by monitoring target Status list image 71 B: Status list by monitoring type Image 72: Bargraph image by monitoring target 73: Bar graph image by monitoring type 74: Line graph image 75: Detailed status image by monitoring target 76: Detailed status image by monitoring type 90: Network 701: Display switching icon 702: Graph selection icon 703: Scale switching icon 711: Icon 712: Icon 721: Monitoring target device list window 722: Bar graph display window 723: Monitoring device name 724: Bar graph 725: Icon 726: Item display window 727: Bar graph display window 7 1: Monitoring data list window 732: Bar graph display window 733: Monitoring data name 734: Bar graph 735: Icon 741: Monitoring target device list window 742: Graph display window 743: Monitoring device name 744: Bar graph 745: Icon 746: Line graph 751: device list window 752: detailed content display window 753: measurement value display window 754: status display window 755: graph display window 761: monitoring target device list window 762: detailed content display window 763: measurement value display window 764: Status display window 765: Graph display window 921, 922: Measuring instrument 931, 932: Monitored device 7111: Name 7112: Symbol mark 7113: Text data 71 4: Icon 7121: Type 7122: Symbol mark 7123: Text data 7211: Monitored device display window 7212: Status display icon 7261: Name 7262: Measurement value 7263: Unit symbol 7264: Icon 7271: Bar 7272: Time 7311: Monitor data Display window 7312: status display icon 7461: horizontal axis 7462: vertical axis 7463: line 7464: attention reference line 7465: abnormality reference line 7466: attention area background 7467: abnormality area background 7511: device name window 7512: monitoring device display Window 7611: Monitored data name window 7612: Monitored device display window

Claims (9)

  1. 　監視対象機器に対して設置された計測器から取得した監視データから前記監視対象機器の正常または異常の状態を判定する状態判定部と、
    　前記監視データまたは前記状態の判定結果に基づいて作成される複数種類のグラフの少なくとも１つを含む監視画像を生成する監視画像生成部と、
    　を備える、監視状態表示装置。     A state determination unit that determines a normal or abnormal state of the monitoring target device from monitoring data acquired from a measuring device installed for the monitoring target device;
    A monitoring image generation unit that generates a monitoring image including at least one of a plurality of types of graphs created based on the monitoring data or the determination result of the state;
    A monitoring status display device comprising:
  2. 　前記監視画像は、
    　前記監視対象機器毎の前記グラフで構成される監視対象別画像と、
    　前記監視データの種類毎の前記グラフで構成される監視種類別画像と、
    　の少なくとも一方を含む、
    　請求項１に記載の監視状態表示装置。     The surveillance image is
    A monitoring target-specific image configured by the graph for each of the monitoring target devices;
    An image classified by monitoring type configured by the graph for each type of the monitoring data;
    At least one of
    The monitoring state display device according to claim 1.
  3. 　前記複数種類のグラフは、
    　前記状態の判定結果に応じた複数の表示態様のバーを時系列に示すバーグラフと、
    　前記監視データである計測値の時系列変化を示す折れ線グラフと、
    　を含む、
    　請求項１または請求項２に記載の監視状態表示装置。     The plurality of types of graphs are
    A bar graph showing, in time series, bars of a plurality of display modes according to the determination result of the state;
    A line graph showing a time-series change of the measured value which is the monitoring data;
    including,
    The monitoring status display device according to claim 1 or 2.
  4. 　前記折れ線グラフは、前記状態の判定結果の判定基準となる判定基準線が示されている、
    　請求項３に記載の監視状態表示装置。     The line graph shows a determination reference line which is a determination reference of the determination result of the state.
    The monitoring state display device according to claim 3.
  5. 　前記折れ線グラフは、前記状態の判定結果に応じて異なる背景色が示されている、
    　請求項３または請求項４に記載の監視状態表示装置。     The line graph shows different background colors according to the determination result of the state,
    The monitoring state display apparatus of Claim 3 or Claim 4.
  6. 　前記バーグラフは、前記状態の変化の検出時刻が示されている、
    　請求項３乃至請求項５のいずれかに記載の監視状態表示装置。     The bar graph indicates the detection time of the change of the state,
    The monitoring state display apparatus according to any one of claims 3 to 5.
  7. 　前記監視画像生成部は、
    　前記監視画像に対する操作位置に基づいて、該操作位置に対応する前記監視対象機器または前記監視データに関連する前記状態を示す詳細なデータを含む前記監視画像を生成する、
    　請求項１乃至請求項６のいずれかに記載の監視状態表示装置。     The surveillance image generation unit
    Generating the monitoring image including detailed data indicating the state related to the monitoring target device or the monitoring data corresponding to the operation position based on the operation position with respect to the monitoring image;
    The monitoring state display apparatus according to any one of claims 1 to 6.
  8. 　監視対象機器または該監視対象機器に対して設置された計測器から取得した監視データから前記監視対象機器の正常または異常の状態を判定する処理と、
    　前記監視データまたは前記状態の判定結果に基づいて作成される複数種類のグラフの少なくとも１つを含む監視画像を生成する処理と、
    　を実行する、監視状態表示方法。     A process of determining a normal or abnormal state of the monitoring target device from the monitoring target device or monitoring data acquired from a measuring device installed for the monitoring target device;
    A process of generating a monitoring image including at least one of a plurality of types of graphs created based on the monitoring data or the determination result of the state;
    Monitor status display method to execute.
  9. 　監視対象機器または該監視対象機器に対して設置された計測器から取得した監視データから前記監視対象機器の正常または異常の状態を判定する処理と、
    　前記監視データまたは前記状態の判定結果に基づいて作成される複数種類のグラフの少なくとも１つを含む監視画像を生成する処理と、
    　を、演算処理装置に実行させる監視状態表示プログラム。     A process of determining a normal or abnormal state of the monitoring target device from the monitoring target device or monitoring data acquired from a measuring device installed for the monitoring target device;
    A process of generating a monitoring image including at least one of a plurality of types of graphs created based on the monitoring data or the determination result of the state;
    A monitoring status display program that causes an arithmetic processing unit to execute
PCT/JP2018/039119 2017-11-27 2018-10-22 Monitoring state display device, monitoring state display method, and monitoring state display program WO2019102756A1 (en)

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