JP2022148866A - Data visualization device, and data visualization program - Google Patents

Abstract

To provide a data visualization device capable of visualizing time-series data of devices that are always in operation, such as IoT devices.SOLUTION: A data visualization device includes: a data reception unit that receives new time series data belonging to a plurality of items; and a data display unit that is configured to, with respect to the predetermined number of new time series data belonging to the items, assign each item to each longitude range of a sphere object, assign each time series data to each latitude range from one pole to the other pole of the sphere object 3, and display the time series data.SELECTED DRAWING: Figure 5

Description

The present invention relates to a data visualization device and a data visualization program.

With the spread of IoT (Internet Of Things), the environment in which various sensing data can be acquired is expanding, but in order to analyze the acquired data, it is necessary to understand the data by "data visualization".

Non-Patent Document 1 describes a system that assigns each item of data to be analyzed to each face of a three-dimensional cube. According to the system described in Non-Patent Document 1, analyzes such as drill-down, slice, and dice for changing viewpoints are realized by GUI (Graphical User Interface) operations such as a mouse without repeating complicated data operations. It is possible.

“HITSENSER5 Web Commentary/Handbook”, [online], Hitachi, Ltd., [searched on August 10, 2019], Internet <URL: http://itdoc.hitachi.co.jp/manuals/3020/3020608040/ d608040.PDF>

In the invention described in Non-Patent Document 1, the number of items is limited to three because an item is assigned to each surface of a three-dimensional cube. Therefore, the invention described in Non-Patent Document 1 is not suitable for analyzing measurement data of each base in a power system, for example. In addition, Non-Patent Document 1 does not mention at all about visualization of abnormality determination in constant operation data as in IoT devices.
Accordingly, an object of the present invention is to visualize time-series data of a device that is always in operation, such as an IoT device.

In order to solve the above-described problems, the data visualization device of the present invention includes a receiving unit that receives new time-series data belonging to a plurality of items, and a predetermined number of new time-series data belonging to the items. is assigned to each longitude range of the spherical object, and each of the time-series data is assigned to each latitude range from one pole to the other pole of the spherical object and displayed.

The data visualization program of the present invention provides a computer with a step of acquiring new time-series data belonging to a plurality of items, for a predetermined number of the latest time-series data belonging to the items, each of the items to each longitude range of a spherical object. and assigning each of the time-series data to each latitude range from one pole to the other pole of the spherical object and displaying the same.
Other means are described in the detailed description.

According to the present invention, it is possible to visualize the time-series data of devices that are always in operation, such as IoT devices.

1 is a configuration diagram of a data visualization device according to this embodiment; FIG. It is a flow chart of data visualization processing. 10 is a flowchart of processing when there are a plurality of abnormal items; 10 is a flowchart of display update processing for a spherical object; FIG. 10 is a diagram showing a sphere object; It is a figure which shows an example of a coordinate storage part. It is a figure which shows an example of a coordinate storage part. It is a figure which shows the monitoring mode screen example which visualized data. FIG. 10 is a diagram showing an operation mode screen for a spherical object; FIG. 10 is a diagram showing a cross section of a spherical object when there are no abnormal items; FIG. 10 is a diagram showing a cross section of a spherical object when there is one abnormal item; FIG. 10 is a diagram showing a cross section of a spherical object when there are multiple abnormal items; It is a figure which shows the reproduction|regeneration mode screen of past data. FIG. 10 is a diagram showing a spherical object when there is no abnormality in past data; FIG. 10 is a diagram showing a longitudinal section of a spherical object when there is no abnormality in past data; FIG. 10 is a diagram showing a longitudinal section of a spherical object when there is an abnormality in past data; FIG. 10 is a diagram showing a longitudinal section of a spherical object when there is an abnormality in past data; It is a figure which shows an example of a coordinate memory|storage part when there is abnormality in past data. FIG. 10 is a diagram showing a monitoring mode screen displaying spherical objects when there are two abnormal items;

EMBODIMENT OF THE INVENTION Henceforth, the form for implementing this invention is demonstrated in detail with reference to each figure.
The present invention is an apparatus and a program for suitably grasping that an abnormality has occurred by visualizing time-series data of a device such as an IoT device that is always in operation. The data visualization device assigns each item of time-series data to be visualized to each longitude range of the spherical object, and assigns each time of the time-series data to each latitude range of the spherical object. Then, the data visualization device updates the display of the time-series data on the spherical object as the time-series data is updated. Further, if an abnormality occurs in any item, the data visualization device expands the longitude range assigned to that item and assigns the item in which the error occurred to the operator's longitude range. The user can preferably grasp that an abnormality has occurred from this three-dimensional object.

FIG. 1 is a configuration diagram of a data visualization device 1 according to this embodiment.
The data visualization device 1 is a computer including a CPU (Central Processing Unit) 11 , a ROM (Read Only Memory) 12 and a RAM (Random Access Memory) 13 . The data visualization device 1 further includes a data display section 14 , a printing section 15 , a storage section 16 , a data reception section 17 and an operation section 18 . The storage unit 16 is, for example, a hard disk or flash memory, and stores a data visualization program 161 and a coordinate storage unit 162 . The coordinate storage unit 162 stores the time-series data shown in FIGS. 6 and 7 over a plurality of items. This data visualization device 1 is connected via a network 9 to nodes 2a to 2c.

The CPU 11 is a computing means that executes various computations, and activates the data visualization device 1 by reading and executing a BIOS (Basic Input Output System) program (not shown) stored in the ROM 12 . Further, the CPU 11 reads the data visualization program 161 stored in the storage unit 16 into the RAM 13 or the like and executes it, thereby converting the time-series data into the coordinate values of the coordinate storage unit 162, and further converting the coordinate values of the coordinate storage unit 162 into Update the display of the sphere object. The CPU 11 also operates the spherical object according to the operation instruction received by the operation unit 18 . Here, the operation instruction is, for example, an instruction to rotate a spherical object.

The ROM 12 is a non-volatile memory and executes a program unique to the data visualization device 1 like a BIOS program. The RAM 13 is a volatile memory and is used by the CPU 11 as a work area for various programs.

The data display unit 14 is a control unit that displays characters, graphics, images, and the like on, for example, a liquid crystal panel. The data display unit 14 is embodied by the CPU 11 executing the data visualization program 161 . The data display unit 14 assigns each item to each longitude range of the spherical object for a predetermined number of latest time-series data belonging to each item, and displays each time-series data from one pole of the spherical object to the other pole. Display by assigning it to a latitude range.

The printing unit 15 prints characters, graphics, images, and the like on a recording medium such as paper. The data display unit 14 of the data visualization device 1 visualizes the coordinate values in the coordinate storage unit 162 and displays the visualized spherical object on a liquid crystal panel or the like.

The data receiving unit 17 is, for example, a NIC (Network Interface Card), and receives new time-series data belonging to a plurality of items from an external device via the network 9 .

The operation unit 18 is, for example, a keyboard, a mouse, a touch panel, or the like, and receives operation information such as a user's instruction to select or change a spherical object. Thereby, the CPU 11 can calculate the analysis data and display the spherical object changed by the CPU 11 according to the user's instruction on the liquid crystal panel. In accordance with an instruction from the operation unit 18, the monitoring mode for displaying the time-series data received by the data receiving unit 17 in real time on a spherical object, the real-time display in the monitoring mode is temporarily stopped, and the time-series data received by the data receiving unit 17 in the past is displayed. into a spherical object, and an operation mode of manipulating the orientation and/or size of this spherical object.

FIG. 2 is a flowchart of data visualization processing during real-time display.
First, the data receiving unit 17 receives time-series data in real time from any of the nodes 2a to 2c via the network (step S10). Then, the CPU 11 determines whether or not there is data abnormality in these time-series data (step S11). If there is no data abnormality in the time-series data (No), the CPU 11 proceeds to step S12, calculates the display coordinates of the north pole vertex (one pole) of the received data, and registers them in the coordinate storage unit 162. Then (step S15), the process of FIG. 2 ends.

In step S11, if the time-series data is abnormal (Yes), the CPU 11 calculates a display width (angle) according to the degree of abnormality (step S13), and calculates coordinates based thereon. Furthermore, the CPU 11 calculates data items having a high correlation with the data item in which the abnormality has occurred, and rearranges the display order (step S14). Then, the CPU 11 registers in the coordinate storage unit 162 information that can be used to determine that the time-series data is abnormal (step S15), and terminates the processing of FIG.

FIG. 3 is a flowchart of processing when an abnormal item is displayed on a spherical object.
In step S30, the data display unit 14 determines whether or not there are a plurality of abnormal items displayed on the spherical object. If there is only one abnormal item (No), the data display unit 14 ends the process of FIG. 3 after adjusting the abnormal item to the user's viewpoint.
If there are a plurality of abnormal items (Yes), the data display unit 14 proceeds to step S31, moves the item with the highest degree of abnormality according to the user's viewpoint, and repeats the processing of steps S33 to S37 for other abnormal items. .

In step S34, the data display unit 14 determines whether or not this abnormal item has a correlation with the item with the highest degree of abnormality. If this abnormal item has a correlation with the item with the highest degree of abnormality (Yes), the data display unit 14 aligns the abnormal item with the highest degree of abnormality with the item with the highest degree of abnormality (step S35), These series of processes are repeated. If there is no correlation between this abnormal item and the item with the highest degree of abnormality (No), the data display unit 14 moves the abnormal item with the lowest correlation to the center position of the column with no correlation (step S36), These series of processes are repeated. After repeating the processing of steps S33 to S37 for other abnormal items, the data display unit 14 terminates the processing of FIG.

FIG. 4 is a flowchart of display update processing for a spherical object.
The data display unit 14 repeats the display update processing of steps S20 to S27 at regular intervals. In this display update process, the data display unit 14 determines whether or not the coordinate storage unit 162 has the latest time-series data (step S21). If the coordinate storage unit 162 has the latest time-series data (Yes), the data display unit 14 proceeds to step S23. If the coordinate storage unit 162 does not have the latest time-series data (No), the data display unit 14 proceeds to step S27 and executes update processing for the next cycle.

In step S23, the data display unit 14 determines whether or not there is abnormal data in the past time-series data not displayed in the spherical object. If there is abnormal data in the past time-series data (Yes), the data display unit 14 proceeds to step S24, and after displaying a certain number of data before and after the data from the South Pole, proceeds to step S25. If there is no abnormal data in the past time-series data (No), the data display unit 14 proceeds to step S25.

In step S25, the data display unit 14 acquires the coordinate data related to the past time-series data, and displays it in an area other than the display location of the past abnormal data. As a result, when there is abnormal data, the data display unit 14 can display a certain number of data before and after the data from the South Pole. Therefore, it is possible to prevent the abnormal occurrence data from disappearing from the spherical object before it is confirmed by the user.
When the data display unit 14 calculates the display color from the number of past abnormal occurrences of the time-series data of the corresponding item (step S26), the process proceeds to step S27, and the series of display updates ends.

FIG. 5 is a diagram showing the spherical object 3. As shown in FIG.
The data display unit 14 displays a predetermined number of recent time-series data in each latitude range of the spherical object 3 . At this time, the data display unit 14 displays the North Pole as the latest time-series data and the South Pole as past time-series data for a predetermined period of time. Here, the nearest predetermined number is the number of latitude ranges 3a, 3b, 3c, 3d, . . . Here, the latitude range 3d is indicated by hatching.

The data display unit 14 further assigns each item to each longitude range of the spherical object 3 . Thereby, the data display unit 14 can display time-series data of a plurality of items in a viewable manner.

6 and 7 are diagrams showing an example of the coordinate storage unit 162. FIG.
The table of the coordinate storage unit 162 in FIG. 6 is time-series data of one item, and includes a time column, a data column, and a display position column in the column direction, and shows the time-series data in the row direction. there is Here, the state immediately after receiving the time-series data at 10:50 is shown.

At this time, the time-series data at 10:50 is displayed in the latitude range 3a around the North Pole shown in FIG. In the table of the coordinate storage unit 162, this latitude range 3a is described as position N. FIG.
The time-series data at 10:40 is displayed in the latitude range 3b next to the latitude range 3a shown in FIG. 5 and farther from the North Pole. In the table of the coordinate storage unit 162, this latitude range 3b is described as position N-1.

The time-series data at 10:30 is displayed in the latitude range 3c next to the latitude range 3b shown in FIG. 5 and farther from the north pole. In the table of the coordinate storage unit 162, this latitude range 3c is described as position N-2.
The time-series data at 10:20 is displayed in the latitude range 3d next to the latitude range 3c shown in FIG. 5 and away from the North Pole. In the table of the coordinate storage unit 162, this latitude range 3d is described as position N-3.

The table of the coordinate storage unit 162 in FIG. 7 shows the state immediately after receiving the time-series data at 11:00.
At this time, the time-series data at 11:00 is displayed in the latitude range 3a around the North Pole shown in FIG. In the table of the coordinate storage unit 162, this latitude range 3a is described as position N. FIG.
The time-series data at 10:50 is displayed in the latitude range 3b next to the latitude range 3a shown in FIG. 5 and farthest from the North Pole. In the table of the coordinate storage unit 162, this latitude range 3b is described as position N-1.

The time-series data at 10:40 is displayed in the latitude range 3c next to the latitude range 3b shown in FIG. 5 and farther from the north pole. In the table of the coordinate storage unit 162, this latitude range 3c is described as position N-2.
The time-series data at 10:30 is displayed in the latitude range 3d next to the latitude range 3c shown in FIG. 5 and away from the North Pole. In the table of the coordinate storage unit 162, this latitude range 3d is described as position N-3.

In this way, each time the data receiving unit 17 receives new time-series data, the latitude range for displaying the latest time-series data is sequentially shifted toward the South Pole.

FIG. 8 is a diagram showing an example of a monitoring mode screen 41 that visualizes data.
The monitoring mode screen 41 includes a spherical object 3 that visualizes data, an X-axis 413 , a Y-axis 414 and a Z-axis 415 . An X-axis 413 is an axis that indicates the north pole direction of the spherical object 3 . A Y-axis 414 and a Z-axis 415 are axes indicating either direction of the equatorial plane of the spherical object 3 .

When new time-series data is acquired, the data display unit 14 displays the latest time-series data in the latitude range around the North Pole, and moves the time-series data being displayed toward the South Pole. In this monitoring mode screen 41, time-series data flows from the North Pole to the South Pole.

When the data display unit 14 acquires new time-series data after displaying certain time-series data in the latitude range around the South Pole, the data display unit 14 stops displaying this time-series data on the monitoring mode screen 41 . However, the time-series data at the time of the anomaly remains around Antarctica. This is shown in FIGS. 16 to 18 to be described later.

FIG. 9 is a diagram showing an operation mode screen 41a for the spherical object 3. As shown in FIG.
When the user clicks the spherical object 3, the screen is switched to the operation mode screen 41a. On the operation mode screen 41a, the information of the spherical object 3 at the time of clicking remains as it is, and the time-series data shown on its surface is not updated. The operating method is, for example, as follows.

(1) After the user instructs the sphere center rotation mode, when the mouse cursor is placed on the surface of the sphere object 3 and dragged, the sphere object 3 on the operation mode screen 41a fixes the center of the sphere and moves to the pointed position. to match the destination of the mouse cursor.
(2) After the user instructs the X-axis rotation mode, when the mouse cursor is placed on the surface of the sphere object 3 and dragged, the sphere object 3 rotates in the X direction so that the pointed position is aligned with the movement destination of the mouse cursor. Rotate around an axis.

(3) After the user instructs the region rotation mode, when the mouse cursor is placed on the surface of the spherical object 3 and dragged, the spherical object 3 on the operation mode screen 41a is rotated with the central axis of the region fixed.

The latest time-series data is dynamically updated and displayed in the sub-window 416 displayed on the operation mode screen 41a. When the subwindow 416 is clicked, the monitor mode screen 41 is displayed again.

FIG. 10 is a diagram showing a cross section of the spherical object 3 when there is no abnormal item.
Here, the spherical object 3 assigns items A to P to each longitude range. A user 5 indicates the viewpoint of an observer observing this spherical object 3 . At this time, item C is the longitude range closest to the user's viewpoint.
Items AP do not contain anomalous time series data, so the angle θ ₁ of each longitude range is evenly assigned to each item AP.

FIG. 11 is a diagram showing a cross section of the spherical object 3 when there is one abnormal item.
The data display unit 14 changes the width (display angle), color, or height of the abnormal item row according to the degree of abnormality that has occurred. The data display unit 14 expands the display width of this item according to the degree of abnormality of the item, and arranges the longitude range of this item on the user's viewpoint side. Thereby, the user 5 can easily visually recognize the degree of abnormality of the item in which the abnormality has occurred.

Here, since an abnormality occurs in the time-series data of item A, the longitude range of item A is changed to angle γ, and the longitude range of other items is changed to angle θ _1a . Furthermore, the data visualization device 1 of this embodiment arranges the longitude area of the item A on the user's viewpoint side. However, the determination of the degree of abnormality varies depending on the equipment, monitoring items, and the like.

Height, color, and display angle can be used to determine the degree of abnormality, and the following seven combinations are possible.
(1) Determining the degree of abnormality based only on height.
(2) Determining the degree of abnormality based only on the angle.
(3) Judge the degree of anomaly only by color.
(4) Determine the degree of abnormality by combining height and color.

(5) Judge the degree of abnormality from the combination of height and angle.
(6) Determine the degree of abnormality by combining color and angle.
(7) Determine the degree of abnormality by combining height, color, and angle.

The data display unit 14 arranges items having a high correlation with those in which an abnormality has occurred, and makes it possible to confirm items to be confirmed in the initial operation. The data display unit 14 arranges the anomaly occurrence item at the display position of the user's viewpoint, and arranges data with high correlation from the left and right.

FIG. 12 is a diagram showing a cross section of the spherical object 3 when there are multiple abnormal items.
Here, an abnormality occurs in the time-series data of item A, item C, and item N. Correlations between item A and items D, J, H, and C are greater than or equal to a predetermined value, and correlations between item C and items E and H are greater than or equal to a predetermined value.

Therefore, the data display unit 14 changes the width (display angle), color, or height of the item row of the items A, C, and N according to the degree of abnormality of the items A, C, and N. FIG. The data display unit 14 arranges the longitude range of item A, which has the highest degree of abnormality of the item, on the user's viewpoint side. The longitude range 31 is a range including items whose correlation with items A and C is less than a predetermined value.

Then, the data display unit 14 arranges items D, J, H, and C whose correlations with item A are equal to or greater than a predetermined value next to item A, and arranges items E and H whose correlations with item C are equal to or greater than a predetermined value. are placed next to item C. As a result, the user 5 can easily visually recognize the item in which an abnormality has occurred and the item having a correlation therewith.

FIG. 13 is a diagram showing a past data reproduction mode screen 6 displayed on the display unit.
This playback mode screen 6 is displayed including a monitoring area 61 , an operation area 62 and a detailed confirmation area 63 . The monitoring area 61 is a screen for reproducing and monitoring the spherical object 3 .

The operation area 62 is for operating the playback time of the monitoring area 61 . The operation area 62 includes a rewind button 621 , a frame rewind button 622 , a pause button 623 , a frame forward button 624 , a fast forward button 625 and jump buttons 626 and 627 .

The rewind button 621 is a button for transitioning to a mode in which the reproduction time of the monitoring area 61 is rewound at a speed exceeding -1 times speed.
The fast-forward button 625 is a button for transitioning to a mode in which the reproduction time of the monitoring area 61 is advanced while being reproduced at a speed exceeding +1 times speed.

The frame rewind button 622 is a button that moves back the playback time of the monitoring area 61 by -1 frame each time it is clicked once.
The frame advance button 624 is a button that advances the reproduction time of the monitoring area 61 by +1 frame each time it is clicked.
The pause button 623 is a button for switching between a mode in which the playback time is paused and a mode in which playback is performed at normal speed.

The jump button 626 is a button that returns to the most recent abnormal location in the past each time it is clicked. The jump button 627 is a button that advances to the most recent abnormal location in the future each time it is clicked.

The detailed confirmation area 63 is displayed including a trend graph 631 and latest data values 632 . The trend graph 631 is a graph showing time-series data of each item with a line. The latest data value 632 is a table showing the latest time-series data of each item.

The data display unit 14 of FIG. 1 stores the time-series data once displayed in the past data storage unit of the storage unit 16 . When the user switches to the reproduction mode, the data display unit 14 reproduces the past data, making it possible to check the time-series data at each time point.

FIG. 14 is a diagram showing the spherical object 3 when there is no abnormality in the past data.
In this spherical object 3, a longitude range 3C corresponding to item C and a longitude range 3K corresponding to item K are indicated by hatching.

FIG. 15 is a diagram showing a longitudinal section of the spherical object 3 when there is no abnormality in the past data.
Here, a cross-sectional view cut through the center of the longitude range 3C and the center of the longitude range 3K of FIG. 14 is shown. Here, the semicircle from the North Pole to the South Pole is divided into 8 pieces. The position closest to the north pole is position N. The position closest to the South Pole is position N-7. Each time series moves from the North Pole to the South Pole each time a new time series is received.

FIG. 16 is a diagram showing a longitudinal section of the spherical object 3 when there is one abnormality in the past data.
Here, a cross-sectional view cut through the center of the longitude range 3C and the center of the longitude range 3K of FIG. 14 is shown. Here, the semicircle from the North Pole to the South Pole is divided into 8 pieces. The position closest to the north pole is position N. Position X is closest to the South Pole and displays historical data. Time-series data for items C and K move from position N toward position N−6 each time new time-series data is received.

FIG. 17 is a diagram showing a longitudinal section of the spherical object 3 when there are two abnormalities in the past data.
Here, a cross-sectional view cut through the center of the longitude range 3C and the center of the longitude range 3K of FIG. 14 is shown. Here, the semicircle from the North Pole to the South Pole is divided into 8 pieces. Position N is the closest to the North Pole. Position X is closest to the South Pole and displays historical data. Position Y is the second closest to the South Pole after position X and displays past data. Time-series data for items C and K move from position N toward position N-5 each time new time-series data is received.

FIG. 18 is a diagram showing an example of the coordinate storage unit 162 when there is an abnormality in the past data.
The table of the coordinate storage unit 162 in FIG. 18 is time-series data of one item, and includes a time column, a data column, an abnormality determination column, and a display position column in the column direction, and a time-series data column in the row direction. showing the data. Here, the state immediately after receiving the time-series data at 10:10 is shown.

At this time, the time-series data at 10:10 is normal, and the display position is position N.
The time-series data at 10:09 is normal, and the display position is position N-1.
The time-series data at 10:08 is normal, and the display position is position N-2.
The time-series data at 10:07 is normal, and the display position is position N-3.
The time-series data at 10:06 is normal, and the display position is position N-4.
The time-series data at 10:05 is normal, and the display position is position N-5.

The time-series data at 9:53 is normal, and there is no display position information. Therefore, the time-series data at 9:53 is no longer displayed on the spherical object 3 .

The time-series data at 9:52 is abnormal and the display position is position Y.
The time-series data at 9:51 is abnormal, and the display position is position X.
The time-series data at 9:50 is normal and there is no display position information. Therefore, the time-series data at 9:50 is no longer displayed on the spherical object 3 .

When anomalous items are indicated by a longitude range, when the data reaches the south pole and remains at the south pole, the change of the longitude range becomes invalid and the normal longitude range is displayed. In the monitoring mode, the time-series data of anomalous items with an extended longitude range will be stored and retained on the Antarctic side. Therefore, the longitude range of the abnormal item is returned to the normal longitude range, and the abnormal data is expressed only by color or height and color.

FIG. 19 is a diagram showing a monitoring mode screen 7 displaying a spherical object 3 when there are two abnormal items displayed on the display unit.
The monitoring mode screen 7 includes a spherical object 3 , an X axis 413 , a Y axis 414 and a Z axis 415 . The monitoring mode screen 7 includes labels 71A, 71B, 71C, 71D, 71J, 71L, 71O and 71P.

The label 71A is a label indicating the longitude range of the item A in which an abnormality has occurred, and is highlighted so as to be distinguishable from other labels in order to indicate the occurrence of an abnormality. Item A is displayed in the longitude range closest to the user's viewpoint in order to indicate the occurrence of an abnormality.

The label 71L is a label indicating the longitude range of the item L in which an abnormality has occurred, and is highlighted so as to be distinguishable from other labels in order to indicate the occurrence of an abnormality. This item L has a correlation with item A that is less than a predetermined value and has a lower degree of abnormality than item A, so it is arranged on the opposite side of item A.

Label 71B is a label indicating the longitude range of item B which is normal. Label 71C is a label indicating the longitude range of item C which is normal. Label 71D is a label indicating the longitude range of item D which is normal. Label 71J is a label indicating the longitude range of item J which is normal. Label 71O is a label indicating the longitude range of item O which is normal. Label 71P is a label indicating the longitude range of normal item P. FIG. In this way, the data display unit 14 displays the items displayed within 180 degrees around the user's viewing position in a normal color frame.

Item J has the highest correlation with item A, so it is adjacent to item A on the left side. Item D has the highest correlation with item A next to item J, so it is adjacent to item A on the right side. Each item is rearranged according to the correlation with item A in the same way thereafter.

(Effect of this embodiment)
The embodiment described above has the following effects (A) to (D).
(A) Since the latest data are clustered and displayed near the North Pole, it is easy to confirm even when the number of monitoring data devices (number of data items) increases. It should be noted that, in the case of a normal graph, the user has to check the graph for the number of data items by scrolling, etc., which is troublesome.
(B) Since a large amount of time-series data can be displayed on a single object, it is possible to omit space such as instruments.

(C) Since an abnormality occurrence location and its correlated location can be confirmed on the same circle, confirmation locations can be localized even when the number of confirmation data increases.
(D) It is possible to check the relationship with other data (equipment) because even those that are not time-synchronized are represented on the same circle.

(Modification)
The present invention is not limited to the above-described embodiments, and includes various modifications. For example, the above-described embodiments have been described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the described configurations. A part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Moreover, it is also possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

Some or all of the above configurations, functions, processing units, processing means, etc. may be realized by hardware such as integrated circuits. Each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as programs, tables, and files that implement each function can be stored in recording devices such as memory, hard disks, SSDs (Solid State Drives), or recording media such as flash memory cards and DVDs (Digital Versatile Disks). can.

In each embodiment, control lines and information lines indicate those considered necessary for explanation, and not all control lines and information lines are necessarily indicated on the product. In fact, it may be considered that almost all configurations are interconnected.
Modifications of the present invention include, for example, the following (a) to (c).

(a) In the above embodiment, an example of a sphere was described as a three-dimensional object for displaying analysis data and for GUI operation. However, the present invention is not limited to this, and analysis data may be represented by, for example, a cylinder, an ellipsoid, a torus, etc., and is not limited to this.
(b) User instructions may be arbitrary. For example, it may be a key operation, a mouse operation, a touch panel display operation on a tablet terminal, or an operation by voice recognition.

(c) In the above embodiment, time-series data for each item has been described. However, the data is not limited to this, and may be arbitrary data for each item, such as a combination of items indicating gender such as male and female, and time-series data, for example, and is not limited to this.

1 data visualization device 11 CPU
12 ROMs
13 RAM
14 Data display section (display section)
15 printing unit 16 storage unit 161 data visualization program 162 coordinate storage unit 17 data receiving unit (receiving unit)
18 Operation unit 2a Node 2b Node 2c Node 3 Spherical objects 3a to 3d Latitude range 31 Longitude range 3C Longitude range 3K Longitude range 41 Monitoring mode screen 41a Operation mode screen 413 X axis 414 Y axis 415 Z axis 416 Subwindow 5 User 6 Playback mode Screen 61 Monitoring area 62 Operation area 621 Rewind button 622 Frame rewind button 623 Pause button 624 Frame forward button 625 Fast forward button 626 Jump button 627 Jump button 63 Detailed confirmation area 631 Trend graph 632 Latest data value 7 Monitoring mode screens 71A and 71B , 71C, 71D, 71J, 71L, 71O, 71P Label

In order to solve the above-described problems, the data visualization device of the present invention includes a receiving unit that receives new time-series data belonging to a plurality of items, and a predetermined number of new time-series data belonging to the items. is assigned to each longitude range of the spherical object, each of the time-series data is assigned to each latitude range from one pole to the other pole of the spherical object and displayed , and among the time-series data of each item, an abnormality occurs a display unit that allocates and displays the items of the time-series data obtained by assigning to the longitude range of the spherical object on the side of the user's viewpoint .

The data visualization program of the present invention provides a computer with a step of acquiring new time-series data belonging to a plurality of items, for a predetermined number of the latest time-series data belonging to the items, each of the items to each longitude range of a spherical object. and assigning each of the time-series data to each latitude range from one pole to the other pole of the spherical object and displaying them; is assigned to the longitude range on the user's viewpoint side of the spherical object and displayed .
Other means are described in the detailed description.

Claims (9)

a receiving unit that receives new time-series data belonging to a plurality of items;
For a predetermined number of new time series data belonging to said item, each said item is assigned to each longitude range of a spherical object, and each said time series data is assigned to each latitude range from one pole to the other pole of said spherical object. a display unit that displays
A data visualization device comprising: The display unit updates display of the spherical object when the receiving unit acquires time-series data belonging to one of a plurality of items.
The data visualization device according to claim 1, characterized by: The display unit changes and displays the width, color, or height of the latitude range and the longitude range related to the item according to the degree of abnormality of the time-series data of each item.
The data visualization device according to claim 1, characterized by: The display unit allocates and displays an item of time-series data in which an abnormality has occurred among the time-series data of each of the items to a longitude range on the user's viewpoint side of the spherical object.
The data visualization device according to claim 1, characterized by: The display unit allocates and displays a longer range than the longitude range of items in which an abnormality has not occurred, to the longitude range of the time-series data item in which an abnormality has occurred among the time-series data of each of the items.
5. The data visualization device according to claim 4, characterized in that: The display unit arranges and displays items having a high correlation with the time-series data item in order from the time-series data item in which the abnormality occurred, among the time-series data of each of the items.
5. The data visualization device according to claim 4, characterized in that: The display unit allocates and displays the time-series data of each of the items in which an abnormality occurred in the past to the other pole's longitude range,
The data visualization device according to claim 1, characterized by: further comprising an operation unit for inputting operation information for the spherical object,
a monitoring mode in which the time-series data received by the receiving unit in real time is displayed on the spherical object according to an instruction from the operation unit; a playback mode in which time-series data received by the receiving unit in the past is played back on the spherical object; , selecting any of the manipulation modes that manipulate the orientation and/or size of the spherical object;
The data visualization device according to claim 1, characterized by: to the computer,
obtaining new time-series data belonging to a plurality of items;
For a predetermined number of the most recent time-series data belonging to said item, each said item is assigned to each longitude range of a spherical object, and each said time-series data is assigned to each latitude range from one pole to the other pole of said spherical object. the step of displaying
A data visualization program for executing

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