JP2018032135A - Data Visualization System - Google Patents

Abstract

PROBLEM TO BE SOLVED: To efficiently perform three-dimensional display of science data including many small elements.SOLUTION: A data visualization system of an embodiment of the present invention includes: a processor; a storage device for storing attribute data associated to each coordinate on a space; a display unit for displaying, as an image, the plurality of attribute data. The processor receives, from a user, information about a plane that is intended to be visualized, of the coordinates on the space, acquires, from the storage device, the attribute data associated to the coordinate on the plane that is intended to be visualized, generates the image of the plane that is intended to be visualized on the basis of the acquired attribute data, and makes the display unit display the generated image.SELECTED DRAWING: Figure 23

Description

  The present invention relates to a system for visualizing data.

  Scientific data, such as results calculated by physical experiments or numerical simulations, is usually a string of numbers that contains multiple pairs of attribute values such as physical quantities associated with coordinates in space (or space-time). However, it is difficult to understand the meaning of scientific data at first glance. Therefore, a technique for displaying scientific data in an easy-to-understand manner for a user has been considered.

  For example, in Patent Document 1 shown below, in order to display a physical quantity (for example, stress) given to coordinates on a cross-section of a figure in an easy-to-understand manner for the user, the display is performed by coloring according to the physical quantity given to the coordinates. A method is disclosed.

JP 2006-154965 A

  With the technique disclosed in Patent Document 1, the attributes associated with the coordinates in the space can be displayed in an easily understandable manner. However, in general, the amount of scientific data required by a single experiment or calculation is very large, and there is a problem that when drawing processing is performed for each coordinate, the time required for display to the user increases.

  A data visualization system according to an embodiment of the present invention includes a processor, a storage device that stores attribute data associated with each coordinate in space, and a display unit that displays a plurality of the attribute data as images. Have. The processor receives from the user information about the plane to be visualized among the coordinates in the space, acquires the attribute data associated with the coordinates on the plane to be visualized from the storage device, and based on the acquired attribute data, An image of a plane to be visualized is generated, and the generated image is displayed on the display unit.

  Even for scientific data consisting of a large number of elements, content confirmation and 3D display can be performed simultaneously and smoothly without burdening the user.

It is a functional block diagram of a scientific data analysis system. It is a hardware structural example of a scientific data analysis system. 3 is an example of a display screen of the scientific data analysis system according to the first embodiment. 6 is a flowchart of screen update processing according to the first embodiment. 6 is a flow of a display condition transmission / reception unit according to the first embodiment. 3 is a configuration example of display condition data and image generation condition data according to the first embodiment. 3 is a flow of search condition generation processing according to the first embodiment. 6 is a flow of a spatio-temporal search process according to the first embodiment. 3 is a configuration example of physical quantity data according to the first embodiment. FIG. 3 is a conceptual diagram of physical quantity data arrangement according to the first embodiment. 3 is a configuration example of a physical quantity data search result according to the first embodiment. 3 is a flow of image generation processing according to the first embodiment. 4 is a flow of display update processing according to the first embodiment. 3 is a configuration example of display image data according to the first embodiment. 12 is an example of a display screen during cutting plane input in the scientific data analysis system according to the second embodiment. It is a structural example of the display condition data of Example 2, and image generation condition data. It is a flow of the spatio-temporal search process of Example 2. It is a structural example of the physical quantity data of Example 2. It is a conceptual diagram of the procedure which specifies the space-time division | segmentation area | region through which a diagonal cut surface passes in the scientific data analysis system which concerns on Example 2. FIG. It is a conceptual diagram of the division | segmentation of the diagonal cut surface in the scientific data analysis system which concerns on Example 2. FIG. It is a conceptual diagram of image generation in the scientific data analysis system according to the second embodiment. 6 is a configuration example of display image data according to the second embodiment. 10 is an example of a display screen according to the second embodiment. 10 is an example of a display screen of Example 3. It is a structural example of the display condition data and image generation condition data of Example 3. It is a structural example of the physical quantity data of Example 3. 12 is a configuration example of display image data according to the third embodiment.

  FIG. 1 shows a functional configuration example of the scientific data analysis system according to the first embodiment. The scientific data analysis system includes a database server (101) for managing experimental and numerical data, and a client computer (111) for visualizing the database server (101). Has been. Note that there may be a single client computer (111) or a plurality of client computers. If there are a plurality of client computers (111), there is an advantage that the same data can be analyzed in parallel by a plurality of people.

  The database server (101) includes an image generation unit (102) for generating an image, a display information transmission / reception unit (103) for communicating with a client computer, and a spatio-temporal search unit (104) for searching for scientific data. A spatio-temporal DB (105) for storing scientific data, and a registration unit (106) for registering scientific data in the spatio-temporal DB (105). The spatio-temporal DB (105) receives a search request from the spatio-temporal search unit (104), and reads out data corresponding to the search condition specified in the search request from the storage device (storage device (207) in FIG. 2). Return to the space-time search unit (104). Note that the spatio-temporal DB (105) may be a system composed of a plurality of devices, or may be configured to store data in an external system over a network.

  The client computer (111) has a web browser (112) that provides a user interface for browsing information via the network (110), and the web browser (112) includes a 3D display unit for performing 3D display. (113) and a display condition setting unit (114).

  FIG. 2 shows a hardware configuration example of the scientific data analysis system according to the first embodiment. The database server (101) and the client computer (111) each used a processor (205) with an arithmetic function, a DRAM (208) which is a volatile temporary storage area capable of reading and writing at high speed, an HDD, a flash memory, etc. A storage device (207) that is a permanent storage area, a NIC (206) that is a network interface card for communication, a monitor (209) that is a display device for displaying information, and a computer operation An input device (210) such as a mouse or a keyboard is provided.

  The storage device (207) of the database server (101) stores scientific data managed by the spatio-temporal DB (105), as well as programs executed by the processor (205) of the database server (101) (in the following, A program that is executed by the client computer 111 (hereinafter referred to as a “client program”) is stored. The processor (205) of the database server (101) reads the server program from the storage device (207) to the DRAM (208) and executes it, thereby causing the database server (101) to transmit and receive display information. The apparatus is operated as a device having functional blocks such as a unit (103), a spatiotemporal search unit (104), a spatiotemporal DB (105), and a registration unit (106).

  In the following, when the contents of various processes executed by the database server (101) are described, the functional blocks such as the spatio-temporal search unit (104) may be described as the processing subject. As described above, the spatio-temporal search unit (104) and the like are functional blocks realized by a server program being executed by the processor (205) of the database server (101). Therefore, in the following description, the processing described with the functional block as the subject actually means that the processor (205) of the database server (101) performs the processing. However, in order to avoid redundant description, in the present embodiment, the contents of various processes will be described with a functional block such as the spatio-temporal search unit (104) as the main subject of the process.

  On the other hand, the storage device (207) of the client computer (111) stores a program executed by the client computer (111) (hereinafter referred to as “browser program”), and the processor (205) of the client computer (111) Then, the browser computer is read from the storage device (207) and executed to operate the client computer (111) as a device including the Web browser (112). The 3D display unit (113) and the display condition setting unit (114) are functional blocks realized by the client program. Specifically, the Web browser (112) downloads the client program from the database server (101) and causes the processor (205) of the client computer (111) to execute the program, so that the Web browser (112) It functions as a browser having (113) and a display condition setting unit (114).

  In the following, when the contents of various processes executed by the client computer (111) are described, the functional blocks such as the display condition setting unit (114) may be described as the subject of the process. As described above, the display condition setting unit (114) or the like is a functional block realized by executing a client program or the like by the processor (205) of the client computer (111). Therefore, in the following description, the processing described with the functional block as the subject means that the processor (205) of the client computer (111) actually performs the processing.

  FIG. 3 shows an example of a display screen (300) displayed on the monitor (209) of the client computer (111) by the Web browser (112) of the client computer (111). In the center of this screen, the display target data group (301) is three-dimensionally displayed. The user moves the cursor (302) on the screen by operating a device such as a mouse connected as the input device (210) of the client computer (111), for example, the figure rotates when dragging on the screen, etc. Visualization from various viewpoints is easy. For the viewpoint, the numerical value for the direction of the viewpoint is also displayed in the viewpoint change window of (303), the change result using the cursor (302) is also reflected in this, and set directly to (303) It may be possible to move the viewpoint.

  Further, the user can designate display target data using a control window (304) for setting display conditions. A large amount of data is stored in advance in the database server (101), and the user can set which data is to be displayed by a drop-down box (305). The data to be displayed is fine grid data on the Cartesian coordinate system in the three-dimensional space determined by the x-axis, y-axis, and z-axis that are orthogonal to each other, so data that is not on the surface is hidden by other elements. Do not show.

  Therefore, in the scientific data analysis system according to the first embodiment, the user can specify each of the x-axis, y-axis, and z-axis ranges as the display range, and on the cross section configured by the plane specified by the specified range. The coordinate values (physical quantities described later) of each coordinate can be easily visualized. This setting can be performed by operating the slide bar (306). For example, when a range of 12 to 120 is designated as the range of the x axis, a cross section by a plane of x = 12 and a plane of x = 120 is displayed on the display screen (300). The values that can be specified for the upper and lower limits of the x-axis, y-axis, and z-axis ranges (values that can be set by the user using the slide bar (306)) are the coordinate values of the grid points in the three-dimensional space. It shall be equal.

  If the x-axis, y-axis, or z-axis range is not specified, a cross-section composed of planes specified by the predetermined minimum and maximum values is displayed on the display screen (300). The In this specification, the predetermined x-axis minimum value, x-axis maximum value, y-axis minimum value, y-axis maximum value, z-axis minimum value, and z-axis maximum value are set to Xmin, Expressed as Xmax, Ymin, Ymax, Zmin, Zmax.

  In addition, this display screen (300) is a drop that is an interface that can specify a data type to be displayed (for example, a physical quantity such as temperature, energy, density, magnetization, wave function value, fluid flow velocity, electric field). A down box (307) is also provided. The type of data specified by the user operating the drop-down box (307) is displayed on a plane (cross section) on the display screen (300). When data is displayed, the data is converted into color information (pixel values) and displayed on a plane (cross section) as a point having the converted color. For example, as the data value of a certain coordinate value is larger, the coordinate is displayed as a point having a bright color, and conversely, as the data value is smaller, the coordinate is displayed as a point having a dark color.

  The setting contents of various conditions specified using the control window (304) are determined by the user pressing the update button (308) arranged on the screen, and the display screen (300) is displayed based on the setting contents. The displayed content is updated.

  If the scientific data analysis system has sufficient performance, it is not necessary to press the update button (308), but immediately after the user operates (306) or (307), the display screen ( 300) The display section may be updated by setting the cross section displayed on the screen. Also, for example, when the user clicks the cross section displayed on the display screen (300) using the cursor (302), a window (309) for displaying the physical quantity of the clicked coordinates is prepared, etc. You may provide the function which can visualize and totalize scientific data from various viewpoints.

  Here, the processing procedure of the scientific data analysis system when the user presses the update button (308) will be described with reference to FIG. When the update button (308) is pressed, display condition transmission / reception processing (401) is executed, and an update request is made from the client computer (111) to the database server (101). As a result, the database server (101) executes the search condition generation process (402) and the image generation process (404), and the result is transferred to the client computer (111) in the display update process (405). It is reflected in.

  FIG. 5 shows a processing flow of the display condition transmission / reception process (401). First, the display condition setting unit (114) acquires the display target range set on the control window (304) on the screen (501). Next, the display condition setting unit (114) creates display condition data (601) based on the value and sends it to the display information transmitting / receiving unit (103) of the database server (101) (502). The display information transmission / reception unit (103) receives the display condition data (601) (503), generates image generation condition data (602) based on the display condition data (601), and sends it to the image generation unit (102) (504). ).

  FIG. 6 shows a data configuration example of the display condition data (601) and the image generation condition data (602) generated therefrom. The display condition data (601) is data generated from the values set on the control window (304) on the screen of the client computer (111).

  The display condition ID (603) is an identifier that is given so that the correspondence relationship is not lost when the client computer (111) receives the return of the result, and is automatically generated in a timely manner in the client computer (111). . For example, the client computer (111) can use the pair of the operation time and the network address of the client computer (111) as the display condition ID (603).

  The target data ID (604) is specified by a drop-down box (305) for specifying target data on the control window (304). In addition, in order for the scientific data analysis system to generate a list displayed in the drop-down box (305), the client computer (111) and the database server (101) separately communicate the list information. It is desirable to have a function of transmitting and receiving. The scientific data analysis system having such a function has an advantage that it is easy to add data.

  The X display range (605), the Y display range (606), and the Z display range (607) are information indicating the display range of coordinates. For example, 1 ≦ x ≦ 178, 50 ≦ y ≦ 199, 60 The upper and lower limits of each coordinate are set such that ≦ z ≦ 80. The information set in the X display range (605), Y display range (606), and Z display range (607) is the value set by the coordinate control slide bar (306) on the screen of the client computer (111) ( Range).

  Finally, in the display target attribute (608), the attribute (for example, the type of physical quantity) specified in the drop-down box (307) of the display target physical quantity on the screen of the client computer (111) is drawn (color-coded). It is stored as information used for. Note that this also includes functions such as communication between the client computer (111) and the database server (101) in advance, and sending and receiving a list of attribute information displayed in the display target attribute (608). There is an advantage that the data structure can be easily changed.

  The image generation condition data (602) is data generated by the display information transmitting / receiving unit (103) based on the display condition data (601). The display condition data (601) is a request set by the user on the display screen (300), but what is actually displayed on the screen is a rectangular parallelepiped as shown in FIG. 3, and is pasted on each surface of the rectangular parallelepiped. An image is needed.

  Therefore, the display information transmission / reception unit (103) subdivides the display condition data (601) into generation requests for individual images (six images in this example). The image generation condition data (602) means each generation request for a subdivided image. Accordingly, in the process (504) of sending to the image generation unit (102), a plurality (six in the first embodiment) of image generation condition data (602) are sent. However, in consideration of processing efficiency, the display information transmission / reception unit (103) may send a set of a plurality of image generation condition data (602) all at once, or the reason for software implementation (simplification of functions) The single image generation condition data (602) may be sent a plurality of times.

  Next, the contents of each element included in the image generation condition data (602) will be described. The image generation condition ID (609) is an identifier for maintaining the correspondence when the result is received, and is automatically generated in a timely manner in the database server (101). For example, the database server (101) may set the display condition ID (603) to which the serial number is added at the end as the image generation condition ID (609).

  In the display condition ID (610), the display condition ID (603) of the display condition data (601) that is the basis of the image generation condition data (602) is stored as it is. Thus, the correspondence between the image generation condition data (602) and the display condition data (601) is not lost.

  Similarly, for the display target attribute name (614), the information stored in the display target attribute (608) is inherited as it is. The target cross section (611) is information for designating which surface the image generated based on the image generation condition data (602) should be pasted. In the first embodiment, the cross section displayed on the screen is specified by a plane perpendicular to any of the x, y, and z axes (that is, x = constant, y = constant, z = constant). Therefore, in the first embodiment, x = constant, y = constant, z = constant is stored in the target cross section (611). However, various cross sections may be displayed depending on the embodiment (for example, a spherical surface or a cylinder). In that case, information suitable for each is stored. In the designated position (612), the value of the surface specified by the target cross section (611) is stored. On the other hand, the display range (613) stores the display range of the axis not specified in the target cross section.

  In the first embodiment, the information stored in the target section (611), the specified position (612), and the display range (613) are the X display range (605) and the Y display range (606) of the display condition data (601). , And the value of the Z display range (607). For example, when 50 ≦ X ≦ 150 and 5 ≦ Y ≦ 15 are set in these, the cross section by the condition of x is the plane of x = 50 and the plane of x = 150, the cross section by the condition of y is y = 5 and Since the surface of y = 15, z has no condition, the maximum and minimum values are specified as conditions.

  Therefore, from this display condition data (601), the target cross section (611) is x = constant, the specified position (612) is x = 50, and the display range (613) is 5 ≦ y ≦ 15. The target cross section (611) is x = constant, the specified position (612) is x = 150, the display range (613) is 5 ≦ y ≦ 15, and the target cross section (611) is Image generation condition data (602) where y = constant, designated position (612) is y = 5, display range (613) is 50 ≦ X ≦ 150, and target cross section (611) is y = constant, designated position (612) Is y = 15 and the display range (613) is 50 ≦ x ≦ 150, image generation condition data (602) is generated.

  Since the condition of z is not particularly specified, there are two image generation condition data (602) in which the target cross section (611) is z = constant, the display range (613) is 50 ≦ x ≦ 150 and 5 ≦ y ≦ 15. Two image generation condition data (602) is generated (specifically, the specified position (612) is z = Zmin (minimum value of z-axis) and z = Zmax (maximum value of z-axis)) ) When all are combined, six image generation condition data (602) are generated.

  FIG. 7 shows the procedure of the search condition generation process (402). In the search condition generation process (402), the image generation unit (102) generates a search condition sentence based on the image generation condition data (602) received from the display information transmission / reception unit (103) (701). In general, a search request in a database system is described in a specific language such as SQL. In this process, as a search condition statement, data corresponding to a condition specified in the image generation condition data (602) (a physical quantity described later) An SQL sentence or the like for searching for data (901) is generated. The search condition sentence generated here is sent to the spatiotemporal search unit (104) (702).

  FIG. 8 shows the procedure of the spatio-temporal search process (403). The spatio-temporal search process (403) is a process for processing a search condition sentence when processing a complicated conditional sentence, but in the first embodiment, the spatio-temporal search unit (104) simply converts the search condition sentence to a time. It is only necessary to send (801) to the space DB (105) and receive the result (802). Alternatively, the spatiotemporal search unit (104) may perform optimization for speeding up the processing.

  FIG. 9 shows the configuration of the physical quantity data (901) stored in the space-time DB (105). Physical quantity data (901) is the main body of data to be handled by this system, and stores the results of scientific calculations and experiments.

  The scientific data ID (902) is a unique identifier assigned to a series of data. For example, when physical quantity data (901) is registered in the spatio-temporal DB (105), a unique value is assigned to each unit that separates scientific data, such as a series of operations from the start of experiment to the end of numerical calculation. Is granted. In other words, the original scientific data can be restored by collecting data having the same scientific data ID (902). This scientific data ID (902) is associated with the target data ID (604), and specifying the target data ID (604) is equivalent to specifying the scientific data ID (902) (more specifically, Specifically, the scientific data ID (902) itself may be used as the target data ID (604)).

  The physical quantity (906) is one or a plurality of physical quantities that are the substance of scientific data, and can store various things such as temperature, energy, density, magnetization, wave function value, fluid flow velocity, and electric field. In X (903), Y (904), and Z (905), the coordinate value of the position where the physical quantity (906) is measured (or calculated) is stored. One physical quantity data (901) may store a plurality of types of physical quantities. When multiple types of physical quantities are stored, the physical quantity of the type specified by the display target attribute name (614) is selected at the time of image generation, and the selected physical quantities are displayed as an image. In this specification, this selected physical quantity may be referred to as an “attribute value”.

  The spatio-temporal DB (105) is configured to perform a search specified in the search condition sentence on this data and return the result to the spatio-temporal search unit (104). FIG. 10 shows a schematic diagram of this search (two-dimensionalized for simplicity). The dashed line (1001) in the figure means a grid, and the space-time DB (105) has coordinates that correspond to the intersections of the dashed lines (1001) and measured by experiments at those coordinates (or numerical calculations, etc.) The physical quantity (906) calculated in (1) is stored.

  In the first embodiment, this data is searched under conditions regarding x, y, and z indicated by thick lines (1002), (1003), (1004), and (1005). For example, (1002) and (1003) mean z = constant condition, but the coordinates that should actually be extracted by the search are the range of y in the grids on the thick lines (1002) and (1003) The coordinates of the grid located on the line segment (1006) sandwiched between (thick lines (1004) and (1005)).

  Note that this figure is shown in two dimensions for simplicity, but since it is actually three-dimensional and is sandwiched by the x condition, the grids located on the plane surrounded by the y-axis range and the x-axis range Coordinates become search target data. Since this search is a search for a large number of data, a long processing time is generally required. Therefore, when registering the physical quantity data (901) in the spatio-temporal DB (105), the registration unit (106) builds an index with the x-coordinate value, the y-coordinate value, and the z-coordinate value as keys. To do. Thus, for example, when z = a (a is a constant) is designated, the spatio-temporal DB (105) refers to the index to search the physical storage location (storage device (901) of the physical quantity data (901) of z = a. 207) The above address etc.) can be directly specified. That is, the spatio-temporal DB (105) can read only the physical quantity data (901) of z = a without reading all the data on the storage device (207).

  As shown in FIG. 11 (1101), the search result has the same configuration as the physical quantity data (901), but only the data that can be displayed is limited.

  The image generation unit (102) receives the search result and executes the image generation process (404) in association with the image generation condition data (602) received in the search condition generation process (402). This procedure is shown in FIG.

  The image generation unit (102) selects the physical quantity (1102) of the search result (1101) that matches the display target attribute name (614), converts it to color information based on a predetermined rule (value value) For different ones, other colors are used, or the density is changed according to the magnitude of the value), and image data is generated (1201). The format of the image data generated here may be a known format such as a BMP format. The generated image data is transferred to the display information transmitting / receiving unit (103) (1202).

  FIG. 13 shows the display update process (405). In this process, first, the display information transmission / reception unit (103) receives the image data generated in the image generation process (404) (1301) and transmits it to the 3D display unit (113).

  FIG. 14 shows the configuration of display image data (1401) used when the display information transmitting / receiving unit (103) transmits image data to the 3D display unit (113). As described above, the database server (101) generates a plurality of image generation condition data (602) from the display condition data (601) received from the client computer (111), and an image corresponding to each image generation condition data (602). Is generated. Each of these images corresponds to one of the plurality of image generation condition data (602). As a result, a plurality of images may correspond to one display condition data (601). Display image data (1401) is data corresponding to each image. Therefore, the response to the display condition data (601) may consist of a plurality of display image data (1401).

  The display image data (1401) is assigned a display condition ID (1402), and which display condition data (601) corresponds to each display image data (1401) is indicated by a display condition ID (603 or 610).

  For the target cross section (1403) and the specified position (1404), the information of the image generation condition data (602) that is the source when generating the image is stored, and (611) and (612) are inherited respectively. Yes. The image data generated in (1201) is stored in the image (1405). When the attribute value is displayed on the attribute display window (309) of the display screen, the attribute value (1406) corresponding to each pixel of the image is also given to the display image data (1401).

  Among a plurality of display image data (1401), a bundle of a series of data (same display condition ID (1402)) is transmitted to the 3D display unit (113) of the client computer (111) (1302). ). The 3D display unit (113) receives it (1304) and reflects it on the screen (1305). By applying a known texture mapping method that pastes the received image on the corresponding surface of a single rectangular parallelepiped when reflecting on the screen, even a powerless client computer (111) can be operated lightly. It becomes.

  Since the scientific data analysis system according to the first embodiment performs the above processing, only data displayed on the screen is read from the storage device (207), and only data necessary for screen display is stored in the database server (101). To the client computer (111). That is, since the scientific data analysis system according to the first embodiment does not need to transmit and receive the entire scientific data, the communication amount between the database server (101) and the client computer (111) can be reduced, and the client computer (111) The operation at can be made light. Further, in order to realize such a lightness, the speed is often increased by making it impossible to change the display range or the like, but in the first embodiment, the displayed cross section is changed. There is an advantage that the process can be easily and quickly performed on the screen.

  Next, a scientific data analysis system according to the second embodiment will be described. Since the hardware configuration of the scientific data analysis system according to the second embodiment is the same as that of the scientific data analysis system according to the first embodiment, illustration is omitted.

  FIG. 15 shows an example of a display screen (300 ') of the web browser (112) in the scientific data analysis system according to the second embodiment. In the web browser (112) according to the first embodiment, a cut surface perpendicular to any of the x axis, the y axis, and the z axis can be visualized. On the other hand, the Web browser 112 according to the second embodiment is different from the scientific data analysis system according to the first embodiment in that the cut surface may be oblique.

  When the user designates a cutting plane, the direction of the cutting plane can be adjusted by dragging the cutting plane using the cursor (302) on the display screen (300 '). The input cut plane is displayed as a plane (1501) on the screen, and its position and inclination can be changed by dragging it. Similar to the first embodiment, when the user designates a cutting plane and presses the update button (1502), the result is reflected on the screen.

  Note that a method other than the method described above may be used as the method for specifying the cut surface. For example, the plane can be expressed by a mathematical expression such as (Equation 1) described below. Therefore, the Web browser (112) (the display condition setting unit (114) thereof) may be configured to provide an interface through which a user can input a mathematical expression representing a cut surface.

  Further, in the scientific data analysis system according to the second embodiment, a cross section (cut plane perpendicular to any of the x axis, the y axis, and the z axis) as described in the first embodiment can be visualized. However, in order to avoid complicated description below, the cutting plane perpendicular to any of the x-axis, y-axis, and z-axis is not specified by the user, and the user is a plane expressed by (Equation 1). An example in which only one is designated as a cut surface will be described. In this case, the display screen (300 ′) of the web browser (112) has a plane specified by the formulas x = Xmin, x = Xmax, y = Ymin, y = Ymax, z = Zmin, z = Zmax (Example) A plane perpendicular to any of the x-axis, y-axis, and z-axis described in 1) and a plane expressed by (Expression 1) are displayed as cut planes. In the following description, a cross section by a plane expressed by (Expression 1) is referred to as an “oblique cross section” or an “oblique cut surface”.

After the update button (1502) is pressed, the same processing as the procedure (400) of the first embodiment is executed. However, in the second embodiment, the contents of display condition data transmitted and received between the client computer (111) and the database server (101) by the display condition transmission / reception process (401) are different from those described in the first embodiment. FIG. 16 shows the display condition data (1601) of the second embodiment. The display condition data (1601) includes the same display condition ID (1603) and display target attribute (1605) as in the first embodiment, but differs in that it includes a cross-section formula (1604). In Example 1, since only a plane orthogonal to any of the x-axis, y-axis, and z-axis can be designated as a cross section, the type of the cut surface suitable for it was recorded. Information of the mathematical formula is stored in the cross-sectional formula (1604). In particular
ax + by + cz = 1 (Formula 1)
(However, at least two of the coefficients a, b, and c are non-zero values)
Since the plane can be identified by the equation (1604), the values of the three coefficients a, b, and c in (Expression 1) are stored in the cross-sectional expression (1604).

  The image generation condition data (1602) generated from the display condition data (1601) is also different from the image generation condition data (602) of the first embodiment. The image generation condition ID (1606) and the display condition ID (1607) are the same as those in the first embodiment, but the target cross section formula (1608) stores information on the cross section formula (1604) of the display condition data (1601). . In the first embodiment, six image generation condition data (602) are generated for one display condition data (601). However, in the second embodiment, the number is not necessarily six. For example, as described in the first embodiment, each of the x-axis, y-axis, and z-axis ranges is designated as the display range, and there is one plane expressed by (Equation 1) described above. 6 to 7 image generation condition data (1602) are generated. However, if the user can set a plurality of planes expressed by (Equation 1) as the cut plane, more image generation condition data (1602) is generated accordingly.

  The image generation unit (102) that has received the image generation condition data (1602) constructs a search condition sentence in the same manner as in the first embodiment, and delivers it to the space-time search unit (104). Then, the spatiotemporal search unit (104) that has received the search condition statement executes a spatiotemporal search process (403). Since the image display procedure on the plane perpendicular to any of the x-axis, y-axis, and z-axis is the same as that described in the first embodiment, the image display procedure on the oblique cut plane is mainly described below. The description of the image display method on a plane perpendicular to any of the x-axis, y-axis, and z-axis will be omitted.

  FIG. 17 shows the spatio-temporal search process (403) in the second embodiment. The spatio-temporal retrieval unit (104) according to the second embodiment needs to retrieve a physical quantity defined by coordinates on an oblique section, but the physical quantity data of coordinates on the oblique section is not necessarily stored in the spatio-temporal DB ( There is no guarantee stored in 105). For this reason, the spatio-temporal search unit (104) needs to search for physical quantity data of coordinates located in the vicinity of the coordinates on the oblique cut plane, but this has a problem that processing time is required for a simple B-Tree or the like. .

  Therefore, in the scientific data analysis system according to the second embodiment, the physical quantity data stored in the spatiotemporal DB (105) is assigned with a partition number called a spatiotemporal code and stored. In the spatiotemporal search process (403), a search using a spatiotemporal code is performed. The spatiotemporal code is a code value assigned to an area generated by dividing a space into sections having a certain width. An area generated by dividing a space into sections having a certain width is referred to as a “time-space division area”.

  FIG. 18 shows physical quantity data (1801) stored in the spatiotemporal DB (105) in the second embodiment. The physical quantity data (1801) is given the spatio-temporal code (1802) when it is registered in the spatiotemporal DB (105). The other information (scientific data ID (902), x (903), y (904), z (905), physical quantity (906)) included in the physical quantity data (1801) is the physical quantity data described in the first embodiment. Same as (901). At the time of searching, by performing a search including the space-time code (1802) as a condition, there is an advantage that candidates can be narrowed down at a high speed and the processing speed is increased.

  The relationship between the area on the coordinate space and the spatio-temporal code assigned to the area on the coordinate space will be outlined with reference to FIG. For simplification of description, the description will be made using a two-dimensional space coordinate system (for example, xy coordinate system). The spatio-temporal DB (105) according to the present embodiment is an intersection of a horizontal broken line (2802) and a vertical broken line (2801) in FIG. 21 (black circle part in FIG. 21. In this specification, this is a grid point. Physical quantity data (1801) is stored for each coordinate. Note that the interval between the plurality of broken lines (2801 or 2802) is 0.5 in both the horizontal direction (x-axis direction) and the vertical direction (y-axis direction). In the example shown in FIG. (0.25, 0.25), the coordinates of the upper right grid point are (3.75, 3.75).

  On the other hand, a region surrounded by a thick line is a spatio-temporal division region. In the example of FIG. 21, the width and height of the spatiotemporal division region are both 1. A 4-digit numerical value (in binary notation) written in the left corner of each space-time division region is a space-time code. In the example of FIG. 21, the space-time code of the space-time division area in the lower left is set to 0000, and the upper two digits of the space-time code have the lower left of the frame obtained by dividing the area in the two-dimensional space shown in FIG. The lower right, upper left, and upper right correspond to the upper two digits, and codes of 0000, 0100, 1000, and 1100 are assigned to the sections existing in each quadrant frame. Similarly, when each frame is divided into four, for example, in the upper right frame, 1000, 1001, 1010, and 1011 are allocated in the lower left, lower right, upper left, and upper right, respectively.

  In the example shown in FIG. 21, there are four lattice points in one spatio-temporal division region. For example, four coordinates ((3.25, 0.25), (3.75, 0.25), (3.25, 0.75), in the spatio-temporal division region (region where the coordinate value in the lower left is (3,0)) with space-time code 0101, (3.75, 0.75)) is the grid point. However, the number of grid points existing in one spatio-temporal division region may be more (or less) than four.

  When the registration unit (106) registers the physical quantity data (1801) in the space-time DB (105), the space-time code is calculated using the coordinate values. In the case of the example shown in FIG. 21, the following relationship exists between the space-time code assigned to the space-time division region and the coordinate value at the lower left of the space-time division region. Of the four-digit space-time code (indicated as “pqrs”, p, q, r, and s are all 0 or 1), the leftmost bit (most significant bit) and the second from the right The 2-digit binary number “pr” composed of bits is equal to the y-coordinate value at the lower left of the space-time division region. On the other hand, of the 4-digit space-time code, the 2-digit binary number “qs” consisting of the second bit from the left and the rightmost bit (least significant bit) is the x-coordinate value at the lower left of the space-time division area. equal.

  Since there is such a relationship between the space-time code assigned to the space-time division area and the coordinate value at the lower left of the space-time division area, it is assigned from the coordinate value to the space-time division area to which the coordinate belongs. The space-time code can be easily calculated. Here, the relationship between the coordinate value and the spatio-temporal code in the area on the two-dimensional space has been described, but the coordinate value and the spatio-temporal code can also be calculated easily from the coordinate value in the area on the three-dimensional space. Can be defined.

  When the registration unit (106) registers the physical quantity data (1801) in the spatiotemporal DB (105), the same physical quantity data (1801) of the spatiotemporal code (1802) is stored in a continuous area on the storage device (207). . Furthermore, the registration unit (106) creates an index using the space-time code as a key. Specifically, the registration unit (106) creates an index in which physical quantity data (1801) having a certain space-time code is stored and information on the address range of the storage device (207) is recorded. As a result, when the spatio-temporal code is specified as a search key during search, the spatio-temporal DB (105) does not need to read all the data in the storage device (207), and the physical quantity to which the specified spatio-temporal code is assigned Only data (1801) can be read from the storage device (207).

  Further, the registration unit (106) may sequentially store the physical quantity data (1801) having the smallest space-time code (1802) in the storage device (207) in order. When such a storage mode is adopted, the spatio-temporal DB (105) stores only the start address of the storage device (207) in which the physical quantity data (1801) with a spatio-temporal code of 0000 is stored. The space-time DB (105) can easily specify the address where the physical quantity data to which the specified space-time code is assigned is stored.

  FIG. 19 shows an outline of the procedure for specifying the spatio-temporal division region through which the oblique cut surface passes. In FIG. 19 (a), a plane formed by three sides (1900-1, 1900-2, 1900-3) passing diagonally above the rectangular parallelepiped (1901) is an oblique cut surface. And the rectangular parallelepiped (1901) cut | disconnected by the diagonal cut surface is a display object. The element (one record of the physical quantity data (1801)) through which the oblique cut surface passes contacts the circumscribed cuboid (1902) of the oblique cut surface. On the contrary, out of the coordinates included in the rectangular parallelepiped (1901), the coordinates that are not included in the circumscribed rectangular parallelepiped (1902) of the oblique cut surface are clear that the oblique cut surface does not pass, so the spatio-temporal search unit (104) Finds the coordinate values of the (8) vertices of the circumscribed cuboid (1902) of the oblique cut plane, and then, based on the range of the obtained coordinate values, the space-time division region included in the circumscribed cuboid The space-time division region to be read is specified by obtaining the space-time code. As a result, the space-time division area to be read can be reduced.

  However, an unnecessary space-time division region may still be read out. In order to make this efficient, it is effective to finely divide the cut surface (1903). As shown in FIG. 19, when the oblique cut surface is finely divided by a surface perpendicular to any of the x-axis, y-axis, and z-axis, and the circumscribed cuboid is obtained for each divided oblique cut surface, the data to be read is more It becomes possible to narrow down. In the example of FIG. 19, the oblique cut plane shown in FIG. 19 (a) is divided into four parts by a plane perpendicular to the x axis and divided into two parts by a plane perpendicular to the y axis. In this case, the circumscribed rectangular parallelepiped (1903) for each of the divided oblique cut planes is smaller than the circumscribed rectangular parallelepiped (1902) before the division (FIG. 19 (a)), so that the space-time division area to be read is reduced. For example, the region (1904) surrounded by the alternate long and short dash line in FIG. 19B is not included in the circumscribed cuboid for each of the divided oblique cut planes, so that it can be determined that reading is unnecessary. By dividing in this way, the amount of space-time division area to be read can be reduced, leading to higher speed. In addition, the scientific data analysis system may determine automatically the division | segmentation number of an oblique cut surface, and you may comprise so that it may divide | segment by the number designated by the user.

  FIG. 20 shows a conceptual diagram thereof. Here, it is displayed on a two-dimensional surface for simplicity. A spatio-temporal code (2001) is assigned to a spatio-temporal divided region in which the elements indicated by bold lines are grouped.

  On the other hand, it is assumed that an oblique cut surface (2002) passes. In FIG. 20, a rectangle (2005) indicated by a one-dot chain line is a circumscribed rectangle of the oblique cut surface (2002). Among the spatio-temporal divided regions including the circumscribed rectangle (2005), those that do not intersect with the oblique cutting plane (2002) are included (for example, spatio-temporal divided regions having spatio-temporal codes of 0010, 1100, and 1101).

  Here, if this diagonal cut surface (2002) is divided into two at the center of the entire data, two circumscribed rectangles are constructed: the left half circumscribed rectangle (2003) and the right half circumscribed rectangle (2004). it can. In this way, by dividing the oblique cut surface (2002) and constructing a circumscribed rectangle for each of the divided oblique cut surfaces, for example, the spatio-temporal divided regions with the spatiotemporal codes of 1100 and 1101 are not included in the circumscribed rectangle, Unnecessary data is difficult to read. For each circumscribed rectangle, by determining the magnitude relationship between the coordinate values of the four corners, it is possible to easily determine which section intersects.

  Here, the spatio-temporal code that an element that can be an oblique cut plane can have should match one of the spatio-temporal codes of the section where the circumscribed rectangle (2003) and circumscribed rectangle (2004) intersect. Therefore, by adding the spatiotemporal code of the section where the circumscribed rectangle (2003) and circumscribed rectangle (2004) intersect to the condition of the search condition statement, it is possible to omit the determination of elements included in unnecessary sections. High-speed processing is possible.

  Returning to the description of FIG. The spatio-temporal search unit (104) rewrites the conditions of the search condition sentence (conditions specifying the oblique cut plane) into a plurality of search condition sentences that specify the divided oblique cut planes (1701), as described above. In the same way (determining the spatio-temporal code of the spatio-temporal divided area included in the circumscribed cuboid (circumscribed rectangle)), the rewritten multiple conditions are further converted into the conditions using the spatio-temporal code to the spatio-temporal DB (105) Send (1702). When a search result is received from the spatiotemporal DB (105) for each condition (1703), the spatiotemporal search unit (104) integrates the respective results (1704) and returns the integrated data to the image generation unit.

  The image generation unit (102) that has received the data generated by the spatiotemporal search unit (104) temporarily stores the received data in the DRAM (208), and the cross-sectional image based on the data stored in the DRAM (208) Is sent back to the display information transmission / reception unit (103). The concept of this image generation method will be described with reference to FIG. First, a method for determining the color of each coordinate by the image generation unit (102) according to the second embodiment will be described. In FIG. 21, a square described by a thin solid line (a square having a center of each lattice point and a side length of 0.5) is referred to as a “lattice region” (for example, in FIG. 21, the lattice point (2804 ) Includes squares in the range of 3.5 ≦ x <4, 1 ≦ y <1.5).

  The image generation unit (102) according to the second embodiment needs to determine the color (pixel value) of the coordinates of each point on the oblique cut surface (2803), and obtains color information by the following method. In FIG. 21, an example of determining the color of the point (2805) on the oblique cut surface (2803) will be described. The point (2805) in FIG. 21 passes through the lattice region including the lattice point (2804). In this case, the image generation unit (102) determines that the physical quantity of the point (2805) is the same as the physical quantity of the lattice point (2804) of the lattice area including the point (2805), and determines the color. That is, the physical quantities of all coordinates on the lattice area including the lattice point (2804) are regarded as the same.

  With the above method, the image generation unit (102) determines the color of the coordinates of each point (2805, etc.) on the oblique cut surface (2803). First, the image generation unit (102) extracts points on which the color (pixel value) should be determined on the oblique cut surface (2803). For example, the image generation unit (102) may select the points at regular intervals by selecting a coordinate whose x coordinate value is an integer multiple of 0.1 among the points on the oblique cut surface (2803). Subsequently, the image generation unit (102) specifies the coordinates of the lattice points included in the lattice region through which the selected point passes. Since the physical quantity data (1801) of the lattice points has been read from the storage device (207) to the DRAM (208) by the previous processing (time-space search processing (403)), the image generation unit (102) 208) The physical quantity data (1801) of the identified grid point is searched from the plurality of physical quantity data (1801) above, and the physical quantity (906) is specified. Then, the image generation unit (102) determines the color of the point on the oblique cut surface by converting the physical quantity value of the specified lattice point into color information.

  The generated image is converted into display image data (2201) by the display information transmitting / receiving unit (103) and sent to the client computer (111) as in the first embodiment. FIG. 22 shows the display image data (2201) in the second embodiment. This is basically the same as in Example 1, but the representation of the cross section (2202) is different.

  In the second embodiment, in order to specify the cross section corresponding to the display condition data (1601) sent from the client computer (111), the shape is sent as a coordinate string for all cross sections to be displayed. . A list of coordinate values to be displayed is described in the cross section (2202), and a list of pixel values (color information) corresponding to the coordinate values described in the cross section (2202) is stored in the image (2203). The As a result, on the client computer (111) side, appropriate three-dimensional display can be executed simply by displaying a three-dimensional shape. By taking this form, it is possible to reduce the three-dimensional calculation on the client computer (111) side, and it is possible to perform three-dimensional display even with a relatively weak client computer (111).

  However, in general three-dimensional display, it is necessary to pay attention to the orientation of the surface. In that case, give appropriate information or change the orientation with the description direction of the surface coordinates (clockwise, counterclockwise). It may be specified. Note that this calculation may be performed on the client computer (111) side, and in that case, it is necessary to specify the pasting surface by assigning a unique number to the cut surface, but the communication amount is The number can be smaller than in the second embodiment.

  FIG. 23 shows a result of displaying a cross section on the Web browser 112 in the second embodiment. A diagonally cut figure is displayed.

  With the above configuration, not only a cross section perpendicular to the x-axis, y-axis, or z-axis, but also a cross-section in an arbitrary direction can be displayed in three dimensions, and scientific data can be analyzed in a short time. Although the image display method on the oblique cut surface has been described above, the image display method described above is used when displaying an image on a cross section perpendicular to the x-axis, the y-axis, or the z-axis. Also good.

  Next, a scientific data analysis system according to the third embodiment will be described. Since the hardware configuration of the scientific data analysis system according to the third embodiment is the same as that of the scientific data analysis system according to the first or second embodiment, the illustration is omitted. Similar to the scientific data analysis system described in the second embodiment, the scientific data analysis system according to the third embodiment can display an oblique cut surface, and can display a physical quantity whose value changes with time. Is possible. FIG. 24 shows an example of a display screen (300 ″) displayed on the Web browser (112) by the scientific data analysis system according to the third embodiment. In the third embodiment, a time display range setting control (2401) and an animation slide bar (2402) are provided on the display screen (300 ″). When the user moves the slide bar (2402), the image on the displayed graphic is switched, so that the user can visually confirm how the physical quantity changes with time.

  FIG. 25 shows display condition data (2501) and image generation condition data (2503) used in the scientific data analysis system according to the third embodiment. The third embodiment is different from the display condition data (1601) described in the second embodiment in that a time range (2502) is added to the display condition data (2501). In this time range (2502), the value set in the setting control (2401) on the screen is stored.

  The display information transmission / reception unit (103) generates image generation condition data (2503) based on this. In the third embodiment, the display information transmission / reception unit (103) generates the image generation condition data (2503) by dividing the time range (2502) of the display condition data (2501) into one frame (one second as an example). Therefore, as shown in FIG. 25, the image generation condition data (2503) includes time (2504). As a result, while 6 to 7 images are generated in the second embodiment, the scientific data analysis system according to the third embodiment generates images that are times the number of time frames. For example, when a time range (2502) is specified from 0: 0 to 0: 1, images every second (0: 0: 0, 0: 0: 1, 0: 0: 2 ... 0: 0 min 59 sec, 0 hr 1 min 0 sec).

  The procedure for generating an image using the image generation condition data (2503) is almost the same as that in the second embodiment. However, since the time condition is included, the space-time code includes a code representing time (or time zone). For example, the data is divided into the first half and the second half in time, 0 and 1 are assigned to the head, and the codes are assigned to 00, 01, 10, and 11 by further halving each. Then, for example, codes indicating lower left, lower right, upper left, and upper right in the first half of the data in the upper right frame are assigned as 101000, 101001, 101010, and 101011, respectively.

  The data stored in the spatio-temporal DB (105) is constructed so that it can be searched using the spatio-temporal code allocated by such calculation. FIG. 26 shows physical quantity data (2601) of the third embodiment. In this configuration, time t (2602) is added in addition to the configuration of the second embodiment, and the space-time code (1802 ') is also stored with a code added with the above-mentioned time frame digits. As in the second embodiment, in the scientific data analysis system according to the third embodiment, when the registration unit (106) registers the physical quantity data (2601) in the spatiotemporal DB (105), the spatiotemporal code (1802 ′) The same physical quantity data (2601) is stored in a continuous area on the storage device. In the search, as in the second embodiment, the spatiotemporal search unit according to the third embodiment converts the condition of the search condition sentence into a condition using a spatiotemporal code. In addition to the value, the spatiotemporal code may be calculated using the time (2504) included in the image generation condition data (2503).

  After the cross-sectional images at each time are generated by the above procedure, they are converted into display image data and sent to the client computer (111). FIG. 27 shows display image data (2701) of the third embodiment. In the third embodiment, since the time (2504) corresponding to each image exists, the time (2702) corresponding to the image is stored in the display image data (2701). The 3D display unit (113) receives this and switches the image to be displayed in accordance with the operation of the animation slide bar (2402). Thereby, a time change can be displayed in the form of animation. A function such as automatically moving the slide bar may be added so that the animation automatically proceeds.

  Since the scientific data analysis system according to the third embodiment has the functions described above, data can be visualized under arbitrary conditions even for physical quantities that change over time, so that the analysis of scientific data can be further accelerated. Become.

  As mentioned above, although several Example of this invention was described, these are illustrations for description of this invention, Comprising: It is not the meaning which limits the scope of the present invention only to these Examples. The present invention can be implemented in various other forms.

  For example, in the embodiment described above, an example has been described in which functional blocks such as a spatio-temporal search unit are realized by executing a program by a processor of a general-purpose computer. However, as another embodiment, a part or all of the functional blocks described in the embodiments may be implemented by hardware such as FPGA or ASIC.

  Further, the program (one or more) executed by the database server or the client computer may be provided via a program distribution server or a storage medium and installed in a device that executes the program. Here, the storage medium means a computer-readable medium for storing data non-temporarily, and is a non-volatile storage medium such as an IC card, an SD card, a DVD or the like.

  In the embodiment described above, the scientific data analysis system has been described as an example composed of at least two computers: a database server and a client computer. However, as another embodiment, the scientific data analysis system may be configured by a single computer. For example, in addition to the image generation unit (102), the display information transmission / reception unit (103), the spatio-temporal search unit (104), the spatio-temporal DB (105), the registration unit (106), the database server includes the embodiment described above. The client computer may have a Web browser (112), a 3D display unit (113), a display condition setting unit (114), and the like.

(101) Database server
(102) Image generator
(103) Display information transmitter / receiver
(104) Spatio-temporal search part
(105) Spatio-temporal DB
(111) Client computer
(112) Web browser
(113) 3D display
(114) Display condition setting section

Claims (14)

A processor, a storage device that stores attribute data associated with each coordinate in space, and a display unit for displaying a plurality of the attribute data as images,
The processor receives information about a plane to be visualized from a user among the coordinates on the space, acquires the attribute data associated with the coordinates on the plane to be visualized from the storage device,
Based on the acquired attribute data, generate an image of the plane to be visualized, and display the generated image on a display unit.
A data visualization system characterized by this. The data visualization system includes a database server having the processor and the storage device, and one or more client computers,
Each of the one or more client computers includes the display unit.
The data visualization system according to claim 1, wherein: The coordinates on the space are coordinates on an orthogonal coordinate system composed of an x-axis, a y-axis, and a z-axis that are orthogonal to each other,
The processor manages an index using the x coordinate value, the y coordinate value, and the z coordinate value as keys as index information of the attribute data,
When the plane to be visualized is a plane perpendicular to any of the x-axis, y-axis, and z-axis, the processor uses the index to associate the attribute associated with the coordinates on the plane to be visualized. Get data,
The data visualization system according to claim 1, wherein: The processor assigns and manages a spatio-temporal code to a plurality of spatio-temporal divided regions generated by dividing the space by a space of a predetermined size,
The processor also assigns and manages the space-time code assigned to the space-time division region to which the coordinates belong, for each of the attribute data associated with the coordinates,
The processor obtains the spatio-temporal code given to the spatio-temporal division region including the plane to be visualized, and acquires the attribute data from the storage device using the spatio-temporal code as a search key.
The data visualization system according to claim 1, wherein: The processor obtains coordinates of a circumscribed cuboid of the plane to be visualized,
The spatiotemporal divided region including the circumscribed cuboid is the spatiotemporal divided region including the plane to be visualized.
The data visualization system according to claim 4, wherein: The processor stores the attribute data to which the same space-time code is assigned in a continuous area on the storage device.
The data visualization system according to claim 4, wherein: The attribute data is data whose value can change over time,
The space-time code is an identifier including information indicating a time zone,
The storage device stores the attribute data associated with time information in addition to the coordinates,
The processor assigns and manages the space-time code including information representing the time zone to each of the attribute data,
The data visualization system according to claim 4, wherein: The processor receives information on the plane to be visualized and information on a time zone to be visualized,
Generate an image from the value of the attribute data in the time zone of the visualization target of the coordinates on the plane to be visualized,
The data visualization system according to claim 7, wherein: In a processor of a computer having a storage device that stores attribute data associated with each coordinate in space, and a display unit for displaying a plurality of the attribute data as images,
Of the coordinates on the space, receiving from the user information about the plane to be visualized,
Obtaining the attribute data associated with the coordinates on the plane to be visualized from the storage device;
Generating a plane image to be visualized based on the acquired attribute data, and displaying the generated image on a display unit;
The computer-readable storage medium which recorded the program which performs this. The coordinates on the space are coordinates on an orthogonal coordinate system composed of an x-axis, a y-axis, and a z-axis that are orthogonal to each other,
In the processor,
As the index information of the attribute data, the index with the x coordinate value, the y coordinate value, and the z coordinate value as a key is managed,
When the plane to be visualized is a plane perpendicular to any of the x-axis, y-axis, and z-axis, the attribute data associated with the coordinates on the plane to be visualized is acquired using the index. ,
The computer-readable storage medium according to claim 9, wherein the program is recorded. In the processor,
A plurality of spatio-temporal division regions generated by dividing the space by a space of a predetermined size are assigned and managed with a spatio-temporal code,
For each of the attribute data associated with the coordinates, the space-time code assigned to the space-time division region to which the coordinates belong is assigned and managed,
When the information about the plane to be visualized is received from the user, the space-time code assigned to the space-time division area including the plane to be visualized is obtained, and the space-time code is used as a search key from the storage device. Obtaining the attribute data;
The computer-readable storage medium according to claim 9, wherein the program is recorded. In the processor,
Let the coordinates of the circumscribed cuboid of the plane to be visualized be obtained,
Determining the spatio-temporal divided region including the circumscribed cuboid as the spatio-temporal divided region including the plane to be visualized;
The computer-readable storage medium according to claim 11, wherein the program is recorded. In the processor,
Storing the attribute data to which the same space-time code is assigned in a continuous area on the storage device;
The computer-readable storage medium according to claim 12, wherein the program is recorded. The attribute data is data whose value can change over time,
The space-time code is an identifier including information indicating a time zone,
The storage device stores the attribute data associated with time information in addition to the coordinates,
In the processor,
For each of the attribute data, the space-time code including information representing the time zone is given and managed,
When the information on the plane to be visualized and the information on the time zone to be visualized are received, an image is generated from the attribute data value of the time zone to be visualized in the coordinates on the plane to be visualized.
The computer-readable storage medium according to claim 12, wherein the program is recorded.

Images