JP2019096239A - Monitoring state display device, monitoring state display method, and monitoring state display program - Google Patents

Abstract

The present invention provides a monitoring display technique capable of easily grasping the state of a device to be monitored. A monitoring state display device includes a state determination unit and a monitoring image generation unit. The state determination unit determines a normal or abnormal state of the monitoring target device from monitoring data acquired from a measuring instrument installed for the monitoring target device. The monitoring image generation unit generates a symbol mark for each state based on the determination result of the state, and generates a monitoring image including a list of symbol marks for each monitoring target device or each type of monitoring data. [Selection] Figure 1

Description

  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 a list of a plurality of power measurement units together with the amount of power.

  Further, in the inter-electric energy system of Patent Document 1, when the electric energy exceeds the threshold value, the electric energy is displayed in a highlighted manner.

JP, 2011-145310, A

  However, in Patent Document 1, only the display of the power amount and the highlighting when the threshold exceeds the display are performed for each device. For this reason, it is difficult for a user (operator) with little experience of sign maintenance to easily grasp the state of the device.

  Therefore, an object of the present invention is to provide a monitoring display technology capable of easily grasping the state of the monitoring target device.

  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 symbol mark for each state based on the determination result of the state, and generates a monitoring image including a list of symbol marks for each monitoring target device or each type of monitoring data.

  In this configuration, since the status is displayed as symbol marks for each monitored device or for each type of monitored data, the status of the monitored device can be easily grasped.

  Further, in an example of the present disclosure, the state determination unit determines the state of one monitoring target device using each of a plurality of monitoring data. The monitoring image generation unit determines a symbol mark for each monitoring target device from the determination results of the states of the plurality of monitoring data.

  In this configuration, since the state to be displayed for the monitoring target device is determined by the plurality of monitoring data, the state of the monitoring target device can be comprehensively grasped.

  Further, in an example of the present disclosure, the monitoring image generation unit determines the symbol mark using the determination result of the worst state in the determination results of the states of the plurality of monitoring data.

  In this configuration, the worst state of the monitored device can be grasped more accurately.

  Further, in an example of the present disclosure, the state determination unit determines the state of each of the plurality of monitoring target devices with respect to one type of the monitoring data. The monitoring image generation unit determines a symbol mark for each monitoring data from the determination results of the states of the plurality of monitoring target devices.

  In this configuration, since the state to be displayed for one type of monitoring data is determined by the states of the plurality of monitoring target devices, the state of the monitoring data can be comprehensively grasped.

  Further, in an example of the present disclosure, the monitoring image generation unit determines the symbol mark using the determination result of the worst state in the determination results of the states of the plurality of monitoring target devices.

  In this configuration, the worst state of the monitoring data can be grasped more accurately.

  Further, in an example of the present disclosure, the monitoring image generation unit generates an alert mark regarding an operation abnormality of the monitoring target device, and adds the alert mark to the list image.

  In this configuration, it is possible to easily grasp the operation abnormality of the monitoring target device.

  Further, in an example of the present disclosure, when the monitoring image generation unit receives an operation input to the monitoring image including the list, the monitoring image generation unit generates an image including detailed information of the monitoring data according to the operation position. Switch.

  In this configuration, it is possible to switch from the list image to an image including detailed information, and to display detailed information effective for sign maintenance by an easy operation.

  According to the present invention, it is possible to provide a monitoring display technology capable of easily grasping the state of the monitoring target device.

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. It is a block diagram showing an example of composition of a surveillance state display concerning an embodiment of the present invention. 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. It is a flow chart which shows a method of outline processing of a surveillance method concerning a 1st embodiment of the present invention. It is a flowchart which shows the specific processing example of the monitoring method which concerns on the 1st Embodiment of this invention. (A) is a figure which shows an example of the monitoring target classified list image, (B) is a figure which shows an example of the monitoring type classified list image. 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.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

Application Example First, an example to which the present invention is applied will be described with reference to FIG. FIG. 6A is a view showing an example of the monitoring target classified list image, and FIG. 6B is a view showing an example of the monitoring type classified list image.

(List image by target)
As shown in FIG. 6A, the monitoring target classified list image 71A has a plurality of icons 711. The plurality of icons 711 are set for each monitoring target device (motor), and are arranged on the monitoring target classified list image 71A.

  The icon 711 has a name 7111 of the corresponding motor, and a symbol mark 7112 indicating the state of the motor. The design of the symbol mark 7112 differs according to the state of the motor. That is, the design differs depending on whether the motor is in the normal state, the abnormal state, or the caution state. By this display, the user can easily and easily understand the states of the plurality of motors and collectively check them. 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.

(List image by type)
As shown in FIG. 6B, the monitoring type classified list image 71B has a plurality of icons 712. The plurality of icons 712 are set for each type of monitoring data, and are arranged on the monitoring type list image 71B according to the monitoring type used for monitoring.

  The icon 712 has a corresponding type of monitoring data 7121 and a symbol mark 7122 indicating the status of the monitoring data. The symbol mark 7122 has a different design depending on the status of the monitoring data. That is, the design differs depending on whether the monitoring data is in the normal state, the abnormal state, or the caution state. By this display, the user can easily and easily understand the status of a plurality of monitoring data and collectively check it. 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.

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.

  First, the relationship between the respective images will be described with reference to FIG. 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.

  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 detailed status 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. Here, 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 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 type classified state list image, an object classified bar graph, an object classified line graph, and a detailed state image.

  The status list image classified by type is an image that displays the 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.

  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 type-specific 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 type-sorted line graph.

  The 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.

  With such a configuration, the user can visually recognize the transition of the state or data for each monitoring target device and 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.

  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.

  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.

  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. 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.

  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. 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.

  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.

  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.

  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 consisting of measured values, but is an abnormality in the operation itself of the monitored device such as a communication error or power on / off.

  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.

  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.

  The monitoring image generation unit 13 outputs the generated monitoring image to the display unit 17. The display unit 17 displays a monitoring image.

  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 a method of outline processing of the monitoring method according to the first embodiment of the present invention.

  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).

  The monitoring image generation unit 13 generates a monitoring image classified by target if a display mainly for the monitoring target device is selected (S13). The monitoring image generation unit 13 generates a type-specific monitoring image if the display having the main type of monitoring data is selected (S14).

  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.

  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 list image for each monitoring target or a list image for each monitoring type 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).

  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).

  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 the monitoring image generation unit 13 is a generation target of the operation 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).

  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.

  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.

(List image)
FIG. 6A is a view showing an example of the monitoring target classified list image, and FIG. 6B is a view showing an example of the monitoring type classified 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.

(List image by monitoring target)
As shown in FIG. 6A, the monitoring target classified 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 the 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 (alert mark) 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 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.

  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 indicate the worst among the determination results based on the monitoring data using a plurality of monitoring data for the target motor. 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.

  By this display, the user can easily and easily understand the states of the plurality of motors and collectively check them.

(List image by monitoring type)
As shown in FIG. 6B, the monitoring type classified 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 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.

  By this display, the user can easily and easily understand the status of a plurality of monitoring data and collectively check it.

  The display switching icon 701 included in the monitoring target classified list image 71A and the monitoring type classified 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.

  As shown in FIG. 7, the display switching icon 701 displays the type of the current image, that is, the monitoring target classified list image 71A or the monitoring type classified list image 71B. In the example of FIG. 7, “monitoring by motor” is set for the monitoring target classified list image 71A, and “monitoring by monitoring type” is set for the monitoring type classified 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 performs selection operation, switching between "monitoring by motor" and "monitoring by monitoring type", that is, switching between the monitoring target list image 71A and the monitoring type list image 71B is performed. To be executed. As a result, the user can select and confirm a list image effective as predictive maintenance at that time.

  Then, when the selection operation of the icon 711 of the monitoring target classified list image 71A is received, the monitoring target classified bar graph image 72 is generated and displayed.

  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.

(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.

(Bargraph image by 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.

  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.

  As shown in FIG. 9, 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. 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.

  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.

  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.

(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.

  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.

  Similar to the bar graph 724, 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. 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.

  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.

  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.

  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.

  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.

  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.

(Line graph image)
FIG. 11 is a diagram showing an example of a line graph image classified by object. 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.

  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.

  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.

  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.

  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.

  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.

  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.

  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 predictive maintenance can be confirmed collectively and effective for predictive maintenance.

  Although not illustrated, a line graph may be generated for each monitoring target device based on the monitoring data.

(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.

  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.

  The device list window 751 has a device name window 7511 and a monitoring device display window 7512.

  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.

  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.

  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. Moreover, the number of times of trigger is the number of times of use of the on / off trigger of measurement.

  In the measured value display window 753, the highlighted display is performed on the measured values in the caution state and the abnormal state.

  By displaying such measurement values, the user can confirm more detailed information on monitoring data.

  In the status display window 754, various statuses of the monitoring target device shown in the device name window 7511 are displayed.

  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 There is 1 grade. 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.

  In the status display window 754, an icon indicating an abnormal state is attached to the status determined to be an abnormal state.

  By displaying such statuses, the user can confirm not only monitoring data based on measurement values but also more various and detailed information.

  Then, by performing such display, the user can easily confirm the detailed information based on the monitoring target device.

(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.

  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.

Then, by performing such a display, the user can easily confirm detailed information based on the type of monitoring data.

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 List image 71B: Monitor type list image 72: Monitor target bar graph image 73: Monitor type bar graph image 74: Line graph image 75: Monitor target detailed state image 76: Monitor type detailed state image 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 731: manager Data list window 732: Bar graph display window 733: Monitor data name 734: Bar graph 735: Icon 741: Monitor target device list window 742: Graph display window 743: Monitor device name 744: Bar graph 745: Icon 746: Line graph 751 : Device list window 752: Detailed content display window 753: Measured value display window 754: Status display window 755: Graph display window 761: Monitored device list window 762: Detailed content display window 763: Measured 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 7114: A Con 712: Type 7122: Symbol mark 7123: Text data 7211: Monitored device display window 7212: Status display icon 7261: Name 7262: Measured value 7263: Unit symbol 7264: Icon 7271: Bar 7272: Time 7311: Monitored 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 7567: abnormality area background 7511: apparatus name window 7512: monitoring device display window 7611 : Monitored data name window 7612: Monitored device display window

Claims (9)

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 symbol marks for each state based on the determination result of the state, and generates a monitoring image including a list of the symbol marks for each of the monitoring target devices or for each type of the monitoring data;
A monitoring status display device comprising: The state determination unit
Determining the state of each of the plurality of monitoring data with respect to one of the monitoring target devices;
The surveillance image generation unit
The symbol mark is determined for each of the monitoring target devices from the determination result of the state of the plurality of monitoring data.
The monitoring state display device according to claim 1. The surveillance image generation unit
In the determination result of the state of the plurality of monitoring data, the symbol mark is determined using the determination result of the worst state.
The monitoring state display device according to claim 2. The state determination unit
Each of the plurality of monitored devices determines the state of one type of the monitoring data;
The surveillance image generation unit
The symbol mark is determined for each of the monitoring data from the determination results of the states of the plurality of monitoring target devices.
The monitoring state display apparatus according to any one of claims 1 to 3. The surveillance image generation unit
In the determination results of the states of the plurality of monitored devices, the symbol mark is determined using the determination result of the worst state.
The monitoring state display device according to claim 4. The surveillance image generation unit
Generating an alert mark regarding an operation abnormality of the monitoring target device and adding it to the list image;
The monitoring state display apparatus according to any one of claims 1 to 5. The surveillance image generation unit
When an operation input to a monitoring image including the list is received, an image including detailed information of the monitoring data according to the operation position is generated, and switching is performed from the image including the list.
The monitoring state display apparatus according to any one of claims 1 to 6. 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 symbol mark for each state based on the determination result of the state, and generating a monitoring image including a list of the symbol marks for each of the monitoring target devices or for each type of monitoring data;
Monitor status display method to execute. 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 symbol mark for each state based on the determination result of the state, and generating a monitoring image including a list of the symbol marks for each of the monitoring target devices or for each type of monitoring data;
A monitoring status display program that causes an arithmetic processing unit to execute

Images