TW201925943A - Monitoring state display device, monitoring state display method, and monitoring state display program - Google Patents

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

Monitoring status display device, monitoring status display method, and monitoring status display program

The present invention relates to a monitoring state display technique for displaying various measured values and various states of a device to be monitored such as a motor.

Patent Document 1 describes a power storage monitoring system. The power monitoring system has a PC and a plurality of power measuring units. The PC is connected to a plurality of power measuring units.

The PC acquires the amount of electricity measured by a plurality of power measuring units. The PC graphically displays the power. [Prior Technical Literature] [Patent Literature]

[Patent Document 1] Japanese Patent Laid-Open Publication No. 2011-145310

[Problems to be solved by the invention]

However, in the system of Patent Document 1, the electric quantity is displayed only in a bar graph of one time series, which is a display of simple measurement values. Therefore, it may not be easy to understand the information required by the user to achieve the omen preservation.

Accordingly, it is an object of the present invention to provide a technique for providing a user with information useful for predictive preservation to a user in a concise manner. [Technical means to solve the problem]

In an example of the present invention, the monitoring state display device includes a state determination unit and a monitoring image generation unit. The state determination unit determines the state of the normal or abnormal state of the device to be monitored based on the monitoring data acquired from the measuring device provided for the device to be monitored. The monitoring image generation unit generates a monitoring image including at least one of a plurality of types of graphics created based on the determination result of the monitoring data or the state.

In this configuration, not only the data is monitored based on the measured value but also a plurality of patterns are provided based on the state of the machine determined by the monitoring data. Thereby, the user can obtain the information useful for the warning preservation in a simple and easy-to-understand manner according to the graphics.

Further, in an example of the present invention, the monitoring image includes an image of the object divided by the pattern of each of the monitoring target devices, and an image of the type composed of the graphic of each of the monitoring data. At least one.

In this configuration, it is possible to visually recognize the graphics for each monitoring target device or each type of monitoring data, and it is easier to realize the warning preservation in cooperation with the user equipment or the security use.

Further, in an embodiment of the present invention, the plurality of patterns include a line graph indicating monitoring data, that is, a time series change of measured values, and a graphic strip indicating a plurality of display states corresponding to the determination result of the monitoring state in time series. Bar chart.

In this configuration, a pattern that easily confirms the change of the measured value and a pattern that easily confirms the change of the monitoring state are used. In this way, it is easier to realize the detailed warning preservation of one monitoring target device and the use of the premonition security of the overall outline of the user equipment.

Moreover, in an example of the present invention, a reference line which is a criterion for determining the result of the monitoring state is shown in the line graph.

Also in this configuration, it is possible to easily confirm the transition of the monitoring state from the line drawing.

Further, in an example of the present invention, the line graph displays different background colors in accordance with the determination result of the monitoring state.

In this configuration, it is easy to confirm the transition of the monitoring state by the line graph.

Further, in an example of the present invention, the bar graph shows the detection timing of the change in the monitoring state.

In this configuration, the timing of the change in the monitoring state can be easily confirmed.

Further, in an example of the present invention, the monitoring image generating unit generates a monitoring image including detailed data based on an operation position of the monitoring image, the detailed data display being related to a monitoring target device or monitoring material corresponding to the operation position. State.

In this configuration, the details of the monitoring state or the monitoring data can be easily confirmed. [Effects of the Invention]

According to the present invention, more information useful for the preservation of the warning can be provided to the user in a concise and understandable manner.

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

-Application Example First, an example of application of the present invention will be described with reference to Fig. 1 . 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.

As shown in FIG. 1, in the monitoring state display device and the monitoring state display method of the present embodiment, a monitoring image composed of a plurality of aspects is prepared. Specifically, the monitoring image has an image divided by the monitoring target and an image classified by the type of monitoring.

The image to be monitored is a monitoring image set for each monitoring target device to be monitored. The image to be monitored includes a list of status images by monitoring object, a bar chart by monitoring type, a line chart by monitoring type, and a detailed status image by monitoring object.

The status list image by the monitoring target is an image showing the outline state of the device to be monitored by a symbol mark such as an icon. Here, the state, for example, includes at least a normal state and an abnormal state, and preferably includes a state to be noted.

The bar graph according to the type of monitoring displays an image such as the time transition of the state of the monitoring data of the monitoring target device.

The line graph according to the type of monitoring displays an image such as the time transition of the monitoring data (measured value, etc.) of the monitoring target device.

The detailed status image divided by the monitoring object displays images of various monitoring data for the monitoring target machine in more detail.

The image by monitor type is a monitor image set for each monitor data to be monitored. The image according to the type of monitoring includes a status list image by monitoring type, a bar chart by monitoring target, a line drawing by monitoring object, and a detailed status image by type.

The status list image by monitoring type is an image showing the outline state of the monitoring data by a symbol mark such as an icon. Here, the state, for example, includes at least a normal state and an abnormal state, and preferably includes a state to be noted.

The bar graph of the monitoring target is an image showing the temporal transition of the state of the monitoring data of the monitoring target device as the display target in the monitoring data. It essentially represents the same content as the bar chart of the type of monitoring.

The line graph of the monitoring target is an image showing the time transition of the monitoring data of the monitoring target device as the display target in the monitoring data. It essentially represents the same content as the line graph according to the type of monitoring.

The detailed status image by type displays images of various monitoring data for the monitoring target machine in more detail.

The images of the above aspects can be sequentially switched, for example, in accordance with an operation input from a user.

With this configuration, the user can recognize the change of the status or the data for each monitoring target machine or each type of monitoring data. In this way, users can get more information useful for warning preservation. Moreover, the user can obtain information useful for the warning preservation more easily and more easily.

[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 a transition relationship of a plurality of aspects of a monitoring image according to an embodiment of the present invention. Fig. 2 is a block diagram showing an example of a configuration of a monitoring state display device according to an embodiment of the present invention. Fig. 3 is a view showing an example of a configuration of a monitoring system including a monitoring state display device according to an embodiment of the present invention.

As described above, in the monitoring state display device and the monitoring state display method of the present embodiment, a monitoring image indicating information useful for the warning preservation is generated in a plurality of aspects. The generation of such a monitoring image is achieved, for example, by the configuration shown in FIG. 2.

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. The monitoring state display device 10 is realized by, for example, an arithmetic processing device such as a personal computer and a program describing the following processing to be executed by the arithmetic processing device. This program is stored, for example, in the memory unit 14 composed of a magnetic medium or a semiconductor memory medium.

The monitoring state display device 10 is a component of the monitoring system 1 shown in FIG. The monitoring system 1 includes a monitoring state display device 10, a network 90, measuring devices 921 and 922, and monitoring target devices 931 and 932. In addition, the number of the measuring device and the monitoring target device included in the monitoring system 1 is not limited to the configuration of FIG. 3, but is appropriately set according to the system to be monitored.

The measurer 921 measures various physical quantities related to the state of the monitoring target machine 931. The measurer 921 generates monitoring data for the monitoring target machine 931 based on the measurement result. Here, the monitoring data is, for example, acceleration, speed, temperature, temperature difference, insulation resistance, deterioration degree, current, and the like. The so-called temperature difference is, for example, the difference between the motor temperature and the ambient temperature. The degree of deterioration is an index calculated based on the disorder of the current waveform. Further, the measuring device 921 acquires and detects information other than the physical quantities from the monitoring target device 931, such as communication errors, power on/off information, and the like, and includes them in the monitoring data. The measurer 922 measures various physical quantities related to the state of the monitoring target machine 932 in the same manner as the measurer 921. The measurer 922 uses the same method as the measurer 921 to generate monitoring data for the monitoring target machine 932 based on the measurement result.

The measurer 921 and the measurer 922 are connected to the monitoring state display device 10 via the network 90. The monitor 921 and the measurer 922 transmit the respective generated monitoring data to the monitoring state display device 10.

The communication control unit 15 of the monitoring state display device 10 is connected to the above-described network 90, and controls communication with the measurer 921 and the measurer 922. The monitoring data acquisition unit 11 acquires monitoring data from the measuring device 921 and the measuring device 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. In addition, the monitoring data acquisition unit 11 can be omitted, and in this case, the monitoring data can be acquired by the state determination unit 12 and the monitoring image generation unit 13.

The state determination unit 12 determines the state of the monitoring target device 931 and the monitoring target device 932 based on the monitoring data. Here, the state of the machine includes at least a normal state and an abnormal state, and preferably includes an attention state. The so-called attention state refers to the state in which the problem is not serious to the abnormal state, but it is deteriorated compared with the normal state.

This determination is realized by, for example, if the monitoring data is a numerical value, a reference value (threshold value) of the attention state or the abnormal state is set to the monitoring data, and the monitoring data is compared with the reference value. Further, the determination is realized by detecting whether the state of the monitoring data matches the state of the normal state, the abnormal state, and the state to be noticed, if the monitoring data is data indicating the state. Furthermore, the determination is performed sequentially at predetermined time intervals.

Moreover, this determination is made for each type of monitoring data. For example, when there are a plurality of kinds of monitoring data for the monitoring target device, the state is determined for each of the plurality of types of monitoring data.

The state determination unit 12 outputs the determined state (state determination result) to the monitoring image generation unit 13. Further, the state determination unit 12 acquires an operation abnormality of the monitoring target device and outputs it to the monitoring image generation unit 13. The abnormality of the operation is not an abnormality determined based on the monitoring data composed of the measured values, but is an abnormality in the operation of the monitoring target device such as a communication error or a 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 of any one of the plurality of aspects using the monitoring data or the state determination result. Further, specific examples of the monitoring images of the plurality of aspects will be described below.

At this time, the monitoring image generating unit 13 detects the content of the operation of the monitoring image from the user by the operation input unit 16, and generates a monitoring image corresponding to the content of the operation. Furthermore, the operation input unit 16 is realized by, for example, a keyboard, a mouse, a touch panel, or the like.

The monitor image generating unit 13 outputs the generated monitor 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, the monitoring image is roughly determined and displayed by the processing shown next. Fig. 4 is a flow chart showing the outline of the monitoring method according to the first embodiment of the present invention.

First, the monitoring state display device 10 accepts the selection of the display aspect by the user by operating the input unit 16 (S11). The monitoring image generation unit 13 of the monitoring state display device 10 determines whether the display mainly for the monitoring target device is selected or the display based on the type of the monitoring data is selected (S12).

When it is determined that the display to be monitored is the main display, the monitor image generating unit 13 generates an image to be monitored (S13). When it is determined that the display based on the type of the monitoring data is selected, the monitoring image generating unit 13 generates an image classified by the type of monitoring (S14).

Further, in the monitoring state display device 10 and the monitoring method of the present embodiment, the monitoring image including the more information related to the warning preservation is generated by the processing shown next. 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 generating unit 13 of the monitoring state display device 10 generates a list image (S21) as shown in Figs. 6(A) and 6(B) below. At this time, the monitoring image generation unit 13 generates a status list image by monitoring target or a status list image by monitoring type based on the selection result.

The monitoring image generating unit 13 accepts an operation on the list image (S22), and detects the operation position and the operation content (for example, a single click, a right click, or the like by a mouse) (S23).

The monitor image generating unit 13 generates a bar graph image as shown in Figs. 8 and 10 below based on the content of the operation (S24).

The monitoring image generating unit 13 accepts an operation input to the bar graph image, and detects the operation position and the operation content (S25). When the operation is the generation target of the line graph image (S26: YES), the monitor image generating unit 13 generates a line graph image as shown in FIG. 11 below (S27).

When the operation is not the generation target of the line graph image (S26: NO) and the detailed state image is generated (S29: YES), the monitor image generating unit 13 generates as shown in FIG. 13 and FIG. 16 below. Detailed state image (S30).

Further, the monitoring image generating unit 13 accepts an operation input to the line graph image, and detects the operation position and the operation content (S28). When the operation is the generation of the detailed state image (S29: YES), the monitoring image generation unit 13 generates a detailed state image as shown in Figs. 13 and 16 below (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 manner desired by the user. In this way, information useful for the preservation of the warning can be provided to the user in a concise and understandable manner.

Next, a specific example of each monitoring image will be described. In the following description, the monitoring target device is set to be a motor. However, the monitoring target machine 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 numbers described below.

(List image) FIG. 6(A) is a view showing an example of a list of status images by monitoring target, and FIG. 6(B) is a view showing an example of a list of status images by monitoring type. In addition, in FIGS. 6(A) and 6(B), in order to make the drawings simple and easy to understand, only a part of the parts are marked with symbols, and the same parts are omitted.

(Status list image by monitoring target) As shown in Fig. 6 (A), the status list image 71A according to the monitoring target has a plurality of icons 711 and a display switching icon 701. A 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. A plurality of icons 711 are arranged on the list image 71A by object.

The icon 711 has a name 7111 of the corresponding motor, a symbol mark 7112 indicating the state of the motor, a character data 7113 indicating the state of the motor, and an icon 7114 indicating an abnormality of the motor. The additional abnormality is not an abnormality determined based on the monitoring data composed of the measured values, but refers to an abnormality that occurs due to a communication error, an on/off of a power source such as a sensor, or an abnormal operation. Furthermore, the icon 7114 can also be omitted.

The design of the symbol mark 7112 differs depending on the state of the motor. For example, in Fig. 6(A), the hollow mark indicates the normal state, and the hollow mark ○ indicates that the "!" sign indicates the attention state, and the solid mark "○" indicates the abnormal state. The state of the symbol marks 7112 is synchronized with the state of the text material 7113. Also, the symbol mark 7112 may be a color depending on the state. For example, it is green in the normal state, yellow in the attention state, and red in the abnormal state. Thereby, the visibility is further improved.

Furthermore, the normal state, the abnormal state, and the state of attention are the result of the determination of the current value. Further, the state and the symbol mark 7112 displayed on the icon 711 are expressed by using a plurality of types of monitoring data for the target motor, and extracting the worst of the determination results for each type of monitoring data. For example, the motor 1 acquires the states of acceleration, speed, temperature, temperature difference, insulation resistance, deterioration degree, and current as a plurality of kinds of monitoring data, and if all of them are in a normal state, the normal state is displayed. Moreover, if at least one of the plurality of types of monitoring data is in an attention state and there is no abnormal state, the display of the state to be noted is performed. Further, if at least one of the plurality of types of monitoring data is in an abnormal state, an abnormal state is displayed.

With its display, the user can confirm the status of a plurality of motors at one time easily and concisely.

(Status list image by monitoring type) As shown in Fig. 6 (B), the status list image 71B of the monitoring type has a plurality of icons 712 and a display switching icon 701. A plurality of icons 712 are set for each type of monitoring material. Here, the types of monitoring data are acceleration, speed, temperature, temperature difference, insulation resistance, deterioration degree, and current. That is, the icon 712 is set for each of eight types of monitoring data. The plurality of icons 712 are arranged in the status list image 71B according to the type of monitoring in accordance with the type of monitoring being used in the monitoring.

The icon 712 has a type 7121 corresponding to the monitoring data, a symbol mark 7122 indicating the state of the monitoring data, and a text file 7123 indicating the state of the monitoring data.

The design of the symbol mark 7122 differs depending on the state of the monitoring data. For example, in Fig. 6(B), the hollow mark indicates the normal state, and the hollow mark ○ indicates that the "!" sign indicates the attention state, and the solid mark "○" indicates the abnormal state. The state of the symbol marks 7122 is synchronized with the state of the text material 7123. Also, the symbol mark 7122 may be different in color depending on the state. For example, it is green in the normal state, yellow in the attention state, and red in the abnormal state. Thereby, the visibility is further improved.

Furthermore, the normal state, the abnormal state, and the state of attention are the result of the determination of the current value. Further, the state and the symbol mark 7122 displayed on the icon 712 are expressed by using the state of a plurality of monitoring target devices for the target monitoring data, and extracting the worst. For example, regarding the acceleration, the state of the motor 1 to the motor 8 is acquired as a plurality of monitoring target devices, and if all of them are in a normal state, the normal state is displayed. Further, if at least one of the plurality of monitoring target devices is in an attention state and there is no abnormal state, the display of the state to be noted is performed. Further, when at least one of the plurality of monitoring target devices is in an abnormal state, an abnormal state is displayed.

By means of its display, the user can confirm the status of a plurality of types of monitoring data at one time easily and concisely.

In addition, the display switching icon 701 included in the state list image 71A and the state list image 71B in the monitoring type is, for example, a shape as shown in FIG. Fig. 7 is a view showing the shape of the icon for switching.

As shown in FIG. 7, the display switching icon 701 displays the current image type, that is, the status list image 71A classified by the monitoring target or the status list image 71B classified by the monitoring type. In the example of FIG. 7, "monitoring by motor" is set in the status list image 71A to be monitored, and "monitoring by monitoring type" is set for the status list image 71B of the type of monitoring. Further, the display switching icon 701 displays a selectable list image as shown in FIG. 7 by a selection operation. By the selection operation of the display switching icon 70, the switching between the "monitoring by motor" and the "monitoring by monitoring type" is performed, that is, the status list image 71A and the type of monitoring by the monitoring target are executed. The state list image 71B is switched. Thereby, the user can select and confirm the list image useful for the warning preservation at this time.

When the selection operation of the icon 711 of the status list image 71A according to the monitoring target is received, the bar graph image 72 of the monitoring target group shown next is generated and displayed. Further, when the selection operation of the icon 7114 is accepted, the following detailed state image 75 including the additional abnormality is generated and displayed.

When the selection operation of the icon 712 of the list image 71B by the type is accepted, the bar graph image 73 of the monitor type shown next is generated and displayed. Thereby, the user can easily confirm further information according to the type of the monitoring target device or the type of the monitoring data.

(Bar graph image) Fig. 8 is a view showing an example of a bar graph image divided by a monitoring object. Figure 9 is an enlarged view of a portion of the bar graph. Fig. 10 is a view showing an example of a bar graph image by monitor type.

(Bar graph image by monitoring object) As shown in FIG. 8, the bar graph image 72 according to the monitoring target has a monitoring device list window 721 and a bar graph display window 722. Further, the bar graph image 72 according to the monitoring target includes a display switching icon 701, a graphic 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 number of monitoring target device display windows 7211 corresponding to the number of monitoring target devices currently being monitored is displayed in the array. In the monitoring target device display window 7211, various 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 attention 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 attention state or the abnormal state. Thereby, the user can easily confirm the device to be monitored which is in the state of being noticed or in an 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 for monitoring the measurement of the target machine. The bar graph 724 is generated for each device according to each type of monitoring data (for example, acceleration, speed, temperature, temperature difference, etc.), and is arranged in such a manner that the timings of the respective bar graphs coincide.

Further, the bar graph display window 722 has, for each bar graph 724, a monitoring device name 723 for detecting the relevant state, and an icon 725 indicating the current state. Furthermore, the icon 725 may be any one that can determine at least the state of attention and the state of abnormality.

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 the monitoring data, a measured value 7262 of the monitoring data, a unit symbol 7263 of the monitoring data, and an icon 7264 indicating the current state of the monitoring data. At this time, if the monitoring data is the attention state or the abnormal state for the measured value 7262 of the monitoring data, the emphasis display corresponding to each state is performed. Thereby, the user can easily and concisely confirm that each monitoring data is currently in a state of attention or an abnormal state. Also, this state can be confirmed by the icon 7264.

In the bar graph display window 727, a graphic strip 7271 having different display states according to the state of the monitoring data is displayed in time series. Further, in the bar graph display window 727, the time 7272 at which the state of the monitor data changes is displayed. By using such a bar graph, the user can easily and concisely recognize the time transition of the state of the monitoring data. Moreover, by the time 7272, the time at which the state changes can be easily confirmed.

By using the image of such a bar graph, the user can easily and concisely recognize the time transition of the state of each monitoring data of each monitoring target device. In other words, it is possible to grasp the time series change of the monitoring target device, and thereby obtain the information required for the warning preservation.

(Bar graph image by monitor type) As shown in FIG. 10, the bar graph image 73 by monitor type has a monitor data list window 731 and a bar graph display window 732. Further, the bar graph image 73 according to the type of monitoring has a display switching icon 701, a graphic selection icon 702, and a scale switching icon 703.

The monitoring material list window 731 has a monitoring material display window 7311 and a status display icon 7312. A monitor data display window 7311 having a number corresponding to the number of types of monitoring data currently being monitored is displayed. In the monitoring data display window 7311, various names (for example, acceleration, speed, etc.) are described. The status display icon 7312 is an icon corresponding to the attention state or the abnormal state of the monitoring data, and is displayed in the monitoring data display window 7311 of the monitoring data in the state of attention or abnormal state. Thereby, the user can easily confirm the monitoring data in the state of being noticed or in an abnormal state.

The bar graph display window 732 has a bar graph 734 indicating the state of the monitor data selected in the monitor material list window 731. Further, the bar graph 724 is generated for each type of monitoring data (for example, the motor 1, the motor 2, and the like) for each type of monitoring data, and is arranged such that the timings of the respective bar graphs coincide.

Further, the bar graph display window 732 has, for each bar graph 734, a monitor material name 733 for detecting the relevant state, and an icon 735 indicating the current state. Furthermore, the icon 735 may be any one that can discriminate at least the state of attention and the state of abnormality.

The bar graph 734 has an item display window and a bar graph display window similarly to the bar graph 724.

The item display window has a name of the device to be monitored, a measurement value of the monitoring data, a unit symbol of the monitoring data, and an icon indicating the current state of the monitoring data. At this time, if the monitoring data is a state to be noted or an abnormal state for the measured value of the monitoring data, an emphasis display corresponding to each state is performed. Thereby, the user can easily and concisely check which of the monitoring target devices is currently in the desired state or the abnormal state with respect to the desired monitoring data. Also, this state can be confirmed by an icon.

In the bar graph display window, the graph bars showing different patterns according to the state of the monitor data are displayed in time series. Further, in the bar graph display window, the time at which the state of the monitor data changes is displayed (not shown in FIG. 10). By using such a bar graph, the user can easily and concisely recognize the time transition of the state of each monitoring target machine based on the monitoring data. Moreover, the time at which the state changes can be easily confirmed by the time.

By using the image of such a bar graph, the user can easily and concisely recognize the time transition of the state of each monitoring target machine of each monitoring data. That is, it is possible to confirm the information required for the warning preservation based on the monitoring data.

Moreover, by using such a bar chart, it is possible to grasp the state of the huge amount and type of materials at a glance. In this way, even if you do not have high security skills, you can achieve the omen preservation, and you can reduce the number of security steps. Moreover, it is possible to easily grasp the state change and the change time, and thus contribute to the cause analysis and the development of the preservation plan. Thereby, the efficiency of the preservation activities is improved.

Further, in the bar graph image 72 divided by the monitoring target and the bar graph image 73 in the monitoring type, the graph selecting icon 702 can be operated, and a line graph as shown in FIG. 11 below is displayed. At this point, the bar and line charts can be displayed at the same time, or the line chart can be displayed instead of the bar chart.

Further, by operating the scale switching icon 703, the scale of the time axis of the bar graph can be changed. Thereby, the user can confirm the time transition of the state at the desired time scale.

(Line Chart Image) FIG. 11 is a view showing an example of a line graph image divided by the monitoring target. Figure 12 is an enlarged view of a portion of a line graph. In addition, hereinafter, the bar graph and the line graph are simultaneously displayed, but the bar graph may be omitted.

As shown in FIG. 11, the line graph image 74 has a monitoring target device list window 741 and a graphic display window 742. Further, the line graph image 74 has a display switching icon 701, a graphic 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 similarly to the monitoring target device list window 721. The monitoring target device display window corresponding to the number of monitoring target devices currently being monitored is displayed in a row. In the monitoring target device display window, various names (for example, motor 1, motor 2, etc.) are described. The status display icon is an icon corresponding to the attention state or the abnormal state of the monitoring target machine, and is displayed in the monitoring target machine display window of the monitoring target machine in the state to be noted or the abnormal state. Thereby, the user can easily confirm the device to be monitored which is in the state of being noticed or in an abnormal state.

The graphic display window 742 has a bar graph 744 and a line graph 746 indicating the state of the monitoring target device selected in the monitoring target device list window 741. A bar graph 744 and a line graph 746 are generated for each device for monitoring the measurement of the target machine. The bar graph 744 is displayed in synchronization with the line graph 746. The bar graph 744 and the line graph 746 are generated for each device according to each type of monitoring data (for example, acceleration, speed, temperature, temperature difference, etc.), and are arranged in such a manner that the timings of the respective bar graphs coincide.

Further, the graphic display window 742 has a monitoring device name 743 for detecting the state of each of the bar graph 744 and the line graph 746, and an icon 745 indicating the current state. Furthermore, the icon 745 may be any one that can determine at least the state of attention and the state of abnormality.

As shown in FIG. 12, the line graph 746 has a horizontal axis 7461, a vertical axis 7462, a fold line 7463, a reference base line 7464, an abnormal reference line 7465, an attention area background 7466, and an abnormal area background 7467.

On the horizontal axis 7461, the time is displayed, and on the vertical axis 7462, the scale of the measured value is displayed. A broken line 7463 corresponding to the monitored data, that is, the measured value, is displayed in a plane formed by the horizontal axis 7461 and the vertical axis 7462. Further, it should be noted that the reference line 7464 is displayed based on the threshold value for determining the state of attention, and the abnormality reference line 7465 is displayed based on the threshold value for determining the abnormal state. It is to be noted that the area background 7466 is displayed in an area between the threshold for determining the state of attention and the threshold for determining the abnormal state, and the background area of the abnormal region 7467 is displayed in a region higher than the threshold at which the abnormal state is determined. It is to be noted that the area background 7466 and the abnormal area background 7467 are set to different colors, and are also set to different colors in the area indicating the normal state (the area lower than the threshold at which the state of the attention state is determined).

By using such a line graph, the user can confirm the time transition of the state of the monitoring data in more detail. Further, by using the reference line 7464 and the abnormal reference line 7465, it is possible to confirm the transition state to the attention state and the abnormal state in a more concise and more detailed manner. Further, by using the attention area background 7466 and the abnormal area background 7467, it is possible to more easily and clearly recognize the transition state to the attention state and the abnormal state.

Moreover, by using such a line graph, even a slight symptom can be easily confirmed, thereby achieving accurate state monitoring. In this way, accurate omission preservation can be achieved. Moreover, by using the reference line and the abnormal reference line, it is possible to accurately grasp the monitoring data, that is, how the state of the machine changes to the state of attention and the state of the abnormal state, and it is possible to surely realize the omen preservation without the need for a high maintenance skill.

Further, in the aspect in which the bar graph and the line graph are arranged and displayed, it is possible to confirm the state transition and the detailed state transition at the same time. In this way, it is possible to confirm more useful information for the warning preservation at one time, which is useful for warning preservation.

Further, although not shown, it is also possible to generate a line graph for each monitoring target device based on the monitoring data.

(Detailed State Image by Monitoring Object) FIG. 13 is a view showing an example of a detailed state image divided by the monitoring target. As shown in FIG. 13, the detailed state image 75 divided by the monitoring target has a device list window 751 and a detailed content display window 752. The detailed content display window 752 includes a measured value display window 753, a status display window 754, and a graphic display window 755. The graphic display window 755 is the same as the above-described graphic display window 742, and thus the description thereof will be omitted.

Further, the detailed state image 75 divided by the monitoring target includes a display switching icon 701, a graphic selection icon 702, and a scale switching icon 703. These are also the same as the above respective images, and thus the description thereof will be omitted.

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

In the machine name window 7511, an icon corresponding to the state to be noted or the state of the abnormality is displayed. Thereby, the user can easily confirm that the source is in an attention state or an abnormal state.

The number of monitoring device display windows 7512 corresponding to the number of devices of the monitoring target machine currently being monitored are displayed in a row. In the monitoring device display window 7512, various names are described (for example, in FIG. 13, K6CM-VB, etc.).

In the measured value display window 753, various measured values of the monitoring target machine shown in the machine name window 7511 are displayed. Fig. 14 is a view showing an example of a measurement value display window. As shown in Fig. 14, in the measurement value display window, the unit of the type (name), measured value, and measured value of the measured value is displayed. For example, as the type of measurement value, as shown in FIG. 14, there are operation accumulation, number of triggers, acceleration (current value), acceleration (MIN (minimum value)), motor temperature (current value), motor temperature (MIN (minimum value) )), motor temperature (MAX (maximum)), temperature difference (current value). Furthermore, the running cumulative system is an indicator for determining the life of the monitoring target machine. Again, the number of triggers is the number of uses of the on/off trigger of the measurement.

In the measured value display window 753, the measured values in the state of attention and the state of abnormality are emphasized.

By displaying such measurements, the user can confirm more detailed information related to the monitored data.

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

15(A) and 15(B) are diagrams showing an example of a state display window. As shown in FIGS. 15(A) and 15(B), in the status display window, various states useful for grasping the state of the device to be monitored are displayed. For example, as shown in FIG. 15(A) and FIG. 15(B), there are an unmeasured acceleration state, an acceleration input abnormality, an acceleration alarm (attention), an acceleration alarm (abnormality), a motor temperature not measured state, and a motor temperature. Input error, motor temperature alarm (note), motor temperature alarm (abnormal), measurement CPU error, measurement CPU data flash error, main CPU error, main CPU data flash abnormality, running cumulative status, measurement status, trigger input , abnormal output, etc. In other words, the state is not a state that can be determined by the measured value, but is an abnormality related to the measuring device.

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

By displaying such a state, the user can not only confirm the monitoring data based on the measured values, but also can confirm more and more detailed information.

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

(Detailed State Image by Type) FIG. 16 is a view showing an example of a detailed state image by type. As shown in FIG. 16, the detailed state image 76 by type has a monitoring target device list window 761 and a detailed content display window 762. The detailed content display window 762 includes a measured value display window 763, a status display window 764, and a graphic display window 766. The detailed content display window 762 is the same as the detailed content display window 752 described above, and thus the description thereof will be omitted.

Further, the detailed state image 76 by type has a display switching icon 701, a graphic selection icon 702, and a scale switching icon 703. These are also the same as the above respective images, and thus the description thereof will be omitted.

The monitoring target device list window 761 has a monitoring material name window 7611 and a monitoring target device display window 7612.

In the monitor data name window 7611, an icon corresponding to the state to be noted or the state of the abnormality is displayed. Thereby, the user can easily confirm that the situation is in a state of attention or an abnormal state.

A monitoring target device display window 7612 corresponding to the number of monitoring target devices corresponding to the monitoring data currently being monitored is displayed in a row. In the monitoring target device display window 7612, each name is described (for example, the motor 1 or the like in FIG. 16).

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

1‧‧‧Monitoring system

10‧‧‧Monitoring status display device

11‧‧‧Monitoring Data Acquisition Department

12‧‧‧State Judgment Department

13‧‧‧Monitoring image generation unit

14‧‧‧Memory Department

15‧‧‧Communication Control Department

16‧‧‧Operation Input Department

17‧‧‧Display Department

71A‧‧‧List of status images by monitoring target

71B‧‧‧List of status images by type of surveillance

72‧‧‧Bar chart image by monitoring object

73‧‧‧Bar chart image by type of surveillance

74‧‧‧Digital line image

75‧‧‧Detailed state image by monitoring object

76‧‧‧Detailed state image by type of surveillance

90‧‧‧Network

701‧‧‧Display switching icon

702‧‧‧Graphic selection icon

703‧‧‧scale switching icon

711‧‧‧ icon

712‧‧‧ icon

721‧‧‧Monitoring machine list window

722‧‧‧ bar chart display window

723‧‧‧Monitor device name

724‧‧‧ bar chart

725‧‧‧ icon

726‧‧‧Project display window

727‧‧‧ bar chart display window

731‧‧‧Monitoring data list window

732‧‧‧ bar chart display window

733‧‧‧Monitor data name

734‧‧‧ bar chart

735‧‧‧ icon

741‧‧‧Monitor device list window

742‧‧‧Graphic display window

743‧‧‧Monitoring equipment name

744‧‧‧ bar chart

745‧‧‧ icon

746‧‧‧Line chart

751‧‧‧Device list window

752‧‧‧Details display window

753‧‧‧Measurement value display window

754‧‧‧Status display window

755‧‧‧Graphic display window

761‧‧‧Monitoring machine list window

762‧‧‧Details display window

763‧‧‧Measurement value display window

764‧‧‧Status display window

765‧‧‧Graphic display window

921, 922‧‧‧ measurer

931, 932‧‧ ‧ surveillance target machine

7111‧‧‧Name

7112‧‧‧ symbol mark

7113‧‧‧Text information

7114‧‧‧ icon

Type 7121‧‧‧

7122‧‧‧ symbol mark

7123‧‧‧Text information

7211‧‧‧Monitor machine display window

7212‧‧‧Status display icon

7261‧‧‧Name

7262‧‧‧Measured value

7263‧‧‧unit symbol

7264‧‧‧ icon

7271‧‧‧Graph

7272‧‧‧ moment

7311‧‧‧Monitoring data display window

7312‧‧‧Status display icon

7461‧‧‧ horizontal axis

7462‧‧‧ vertical axis

Line 7463‧‧

7464‧‧‧Note the baseline

7465‧‧‧Abnormal baseline

7466‧‧‧Attention to regional background

7467‧‧‧Abnormal area background

7511‧‧‧ Machine Name Window

7512‧‧‧Monitor display window

7611‧‧‧Monitoring data name window

7612‧‧‧Monitor machine display window

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. Fig. 2 is a block diagram showing an example of a configuration of a monitoring state display device according to an embodiment of the present invention. Fig. 3 is a view showing an example of a configuration of a monitoring system including a monitoring state display device according to an embodiment of the present invention. Fig. 4 is a flow chart showing the outline of the monitoring method according to the first embodiment of the present invention. Fig. 5 is a flowchart showing a specific processing example of the monitoring method according to the first embodiment of the present invention. 6(A) is a view showing an example of a list of status images by monitoring target, and (B) is a view showing an example of a list of status images by monitoring type. Fig. 7 is a view showing the shape of the icon for switching. Fig. 8 is a view showing an example of a bar graph image divided by a monitoring object. Figure 9 is an enlarged view of a portion of the bar graph. Fig. 10 is a view showing an example of a bar graph image by monitor type. Fig. 11 is a view showing an example of a line graph image divided by a monitoring object. Figure 12 is an enlarged view of a portion of a line graph. Fig. 13 is a view showing an example of a detailed state image divided by the monitoring target. Fig. 14 is a view showing an example of a measurement value display window. 15(A) and 15(B) are diagrams showing an example of a state display window. Fig. 16 is a view showing an example of a detailed state image by type.

Claims (9)

A monitoring state display device includes: a state determination unit that determines a state of normal or abnormal state of the device to be monitored based on monitoring data acquired from a measuring device provided for a device to be monitored; and a monitoring image generating unit; It generates a monitoring image including at least one of a plurality of patterns created based on the monitoring data or the determination result of the above state. The monitoring state display device according to claim 1, wherein the monitoring image includes an image of the monitoring target formed by the graphic of each of the monitoring target devices, and the graphic of each of the monitoring materials At least one of the images constituting the monitoring type. The monitoring state display device according to claim 1, wherein the plurality of patterns include a bar graph indicating a plurality of display patterns corresponding to the determination result of the state in time series, and indicating the monitoring data, that is, A line graph of time series changes in measured values. The monitoring state display device according to claim 3, wherein the determination of the determination reference line as a determination criterion of the determination result of the state is shown in the line graph. The monitoring state display device according to claim 3, wherein the line graph displays different background colors in accordance with the determination result of the state. The monitoring state display device according to claim 3, wherein the detection time of the change of the state is shown in the bar graph. The monitoring state display device according to claim 1, wherein the monitoring image generating unit generates the monitoring image including detailed data based on an operation position of the monitoring image, the detailed information display and the operation position corresponding to the operation The above-mentioned state related to the monitoring target device or the above-mentioned monitoring data. A monitoring state display method, which performs a process of: determining a normal or abnormal state of the device to be monitored based on monitoring data acquired from a monitoring target device or a measuring device provided for the monitoring target device; A monitoring image of at least one of the plurality of patterns created by the monitoring data or the determination result of the state. A monitoring state display program that causes the arithmetic processing unit to perform a process of determining a normal or abnormal state of the monitoring target machine based on monitoring data acquired from a monitoring target device or a measuring device provided for the monitoring target device; And generating a monitoring image including at least one of a plurality of patterns created based on the monitoring data or the determination result of the state.