Similar building extraction device, similar building extraction method, and program

The similar building extraction device simplifies the identification of structurally similar buildings by using an architectural frame information database and TanimotoScore, enhancing the efficiency of building similarity extraction.

JP7744254B2Active Publication Date: 2025-09-25SHIMIZU CORP
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Patent Information

Application Number
JP2022009390
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-01-25
Publication Date
2025-09-25
Estimated Expiration
2042-01-25

AI Technical Summary

Technical Problem

Existing systems struggle to determine structural similarity between buildings based on conditions, requiring complex comparisons of three-dimensional drawings, complicating the extraction of buildings with similar structures.

Method used

A similar building extraction device and method that utilizes an architectural frame information database to analyze the frame information of buildings, employing TanimotoScore and the ratio of maximum heights to identify and extract buildings with similar structural shapes.

Benefits of technology

Facilitates easy extraction of buildings with similar structural structures by using TanimotoScore and maximum height ratios, simplifying the process and improving efficiency.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

To provide a similar construction extraction device which can easily extract a construction similar in a frame.SOLUTION: A similar construction extraction device includes: a construction frame information database unit which stores construction frame information on a frame of each of a plurality of constructions; an object construction frame information acquisition unit which acquires object construction frame information which is construction frame information on a frame of a construction as an object; a similar construction extraction unit which extracts a construction similar in the frame to the construction as the object from the plurality of constructions; and an output unit which outputs information showing the extracted construction. The similar construction extraction unit selects each of the plurality of constructions and extracts the similar construction on the basis of at least a Tanimoto Score calculated from the construction frame information on the selected construction and the object construction frame information and a ratio between a maximum height of the construction as the object and a maximum height of the selected construction.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present invention relates to a similar building extraction device, a similar building extraction method, and a program. [Background technology]

[0002] As a reference for a planned building, design information of a building with a similar structural structure to the planned building may be used. For example, after designing the structural shape of the planned building, design information of a building with a similar structural structure may be used as a reference when selecting members to be used for the columns, beams, etc. that make up the structural structure. Also, design information of a building with a similar structural structure may be used as a reference for the structural design concept (design method, setting criteria, etc.) for the planned building. Also, design information of a building with a similar structural structure may be used when wanting to get an overview of the quantities (e.g., steel frame volume) for the planned building. Conventionally, when searching for similar buildings, three-dimensional drawings of the structural structure are created, and designers and others compare the three-dimensional drawings to determine whether the buildings are similar or not. There is also a building design document providing system that acquires architectural design documents that meet building conditions based on building conditions such as site area, building coverage ratio, floor area ratio, number of rooms, and room size (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-032376 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the system described in Patent Document 1, it is not possible to determine whether or not structures are similar based on building conditions, and the method of comparing three-dimensional drawings of the structures requires comparing three-dimensional drawings of the structures of the target building with three-dimensional drawings of the structures of candidate buildings, which poses the problem that extracting buildings with similar structures can require complicated work.

[0005] The present invention has been made in view of the above circumstances, and provides a similar building extraction device, a similar building extraction method, and a program that can easily extract buildings with similar structural shapes. [Means for solving the problem]

[0006] The present invention has been made to solve the above-mentioned problems, and one aspect of the present invention is a similar building extraction device comprising: an architectural frame information database unit that stores architectural frame information related to the frame of each of a plurality of buildings; a target architectural frame information acquisition unit that acquires target architectural frame information, which is architectural frame information related to the frame of a target building; a similar building extraction unit that extracts buildings from the plurality of buildings that have frames similar to the target building; and an output unit that outputs information indicating the extracted buildings, wherein the similar building extraction unit selects for each of the plurality of buildings and extracts the similar buildings based at least on the architectural frame information of the selected building and the TanimotoScore calculated from the target architectural frame information, and the ratio of the maximum height of the target building to the maximum height of the selected building.

[0007] Another aspect of the present invention is the similar building extraction device described above, wherein the ratio of the maximum height of the target building to the maximum height of the selected building is the value obtained by dividing the lower of the maximum height of the target building and the maximum height of the selected building by the higher, and the similar building extraction unit extracts the similar buildings based on the square root of the product of the TanimotoScore and the value.

[0008] Another aspect of the present invention is the similar building extraction device described above, wherein the building frame information includes the number of nodes corresponding to each pattern consisting of whether or not members are attached in a plurality of directions.

[0009] Another aspect of the present invention is the similar building extraction device described above, wherein the building frame information includes the number of members included in each of a plurality of length ranges.

[0010] Another aspect of the present invention is a similar building extraction method using a similar building extraction device equipped with an architectural frame information database unit that stores architectural frame information related to the frame of each of a plurality of buildings, the method comprising the steps of: acquiring target architectural frame information related to the frame of a target building; extracting, from the plurality of buildings, buildings whose frames are similar to the target building; and outputting information indicating the extracted buildings, wherein the extraction step selects each of the plurality of buildings, and extracts the similar architectural frame based at least on the architectural frame information of the selected building and the TanimotoScore calculated from the target architectural frame information, and the ratio of the maximum height of the target building to the maximum height of the selected building.

[0011] Another aspect of the present invention is a program for causing a computer to function as an architectural frame information database unit that stores architectural frame information related to the frame of each of a plurality of buildings, a target architectural frame information acquisition unit that acquires target architectural frame information related to the frame of a target building, a similar building extraction unit that extracts buildings from the plurality of buildings that have frames similar to the target building, and an output unit that outputs information indicating the extracted buildings, wherein the similar building extraction unit selects for each of the plurality of buildings and extracts the similar architectural frame based at least on the architectural frame information of the selected building and the TanimotoScore calculated from the target architectural frame information, and the ratio of the maximum height of the target building to the maximum height of the selected building. [Effects of the Invention]

[0012] According to this invention, the similar building extraction device can easily extract buildings with similar structural structures. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a schematic block diagram showing the functional configuration of a similar building extraction device 10 according to an embodiment of the present invention. [Figure 2] 3 is a diagram showing a first example of stored contents of the architectural frame information DB unit 12 according to the embodiment. FIG. [Figure 3] FIG. 10 is a schematic diagram illustrating patterns a0 to a7 according to the embodiment. [Figure 4] FIG. 10 is a diagram showing a second example of stored contents of the architectural frame information DB unit 12 according to the embodiment. [Figure 5] FIG. 10 is a schematic diagram illustrating patterns b0 to b11 according to the embodiment. [Figure 6] FIG. 10 is a diagram showing a third example of stored contents of the architectural frame information DB unit 12 according to the embodiment. [Figure 7] 10 is a schematic diagram illustrating a set C1∪C2 and a set C1∩C2 according to the embodiment. FIG. [Figure 8] FIG. 10 is a three-dimensional diagram showing an example of extraction of similar buildings according to the embodiment. [Figure 9] FIG. 10 is a three-dimensional diagram showing an example of extraction of similar buildings according to a comparative example of the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a schematic block diagram showing the functional configuration of a similar building extraction device 10 according to one embodiment of the present invention. The similar building extraction device 10 acquires target building frame information, which is building frame information related to the frame of a target building, such as the frame of a building under planning, and outputs information indicating buildings whose frames are similar to the target building. As will be described later, the building frame information includes at least the number of nodes corresponding to each pattern consisting of the presence or absence of attachment of members in multiple directions, or the number of members included in each of multiple length ranges, contained in the frame of the corresponding building. The building frame information may also include the maximum height of the corresponding building.

[0015] The similar building extraction device 10 comprises a target building frame information acquisition unit 11, a building frame information DB (database) unit 12, a similar building extraction unit 13, and a similar building information output unit 14. The target building frame information acquisition unit 11 acquires the above-mentioned target building frame information. For example, the target building frame information acquisition unit 11 comprises an input interface for specifying a file on the file system of the device itself or on a network to which the device itself is connected as a file in which the target building frame information is stored, and acquires the file specified by the operator using the input interface.

[0016] The architectural structure information DB unit 12 stores architectural structure information for multiple buildings. Figure 2 is a diagram showing a first example of the contents stored in the architectural structure information DB unit 12. As shown in Figure 2, the architectural structure information DB unit 12 stores architectural structure information for multiple buildings together with a building ID that identifies each corresponding building. The example shown in Figure 2 is an example in which the architectural structure information includes the number of nodes corresponding to each pattern consisting of whether or not members are attached in multiple directions, which is included in the frame of the corresponding building, and among these, it is an example in which the pattern consists of whether or not members are attached in the positive direction of each of the x, y, and z axes.

[0017] For example, the x-axis is the long side direction of the horizontal plane of the building, the y-axis is the long side direction of the horizontal plane of the building, and the z-axis is the vertical direction (direction of gravity). The orientation of these axes is determined so that the positive direction of the z-axis is opposite to gravity, and the positive directions of the x-axis and y-axis are a right-handed system. The x-axis, y-axis, and z-axis are not limited to this example and may be changed depending on the location or shape of the building, or may be a left-handed system. The x-axis, y-axis, and z-axis may be the same at all nodes or may be different for each node. When the x-axis, y-axis, and z-axis are different for each node, they may be determined, for example, based on a specific beam or column. A node is an end point of a column or beam that constitutes a structural frame, or a point where a column or beam is connected to another column or beam.

[0018] In the example shown in Figure 2, each piece of building structure information includes the maximum height [m] of the corresponding building, the number of nodes of pattern a0, the number of nodes of pattern a1, the number of nodes of pattern a2, the number of nodes of pattern a1, the number of nodes of pattern a4, the number of nodes of pattern a5, the number of nodes of pattern a6, and the number of nodes of pattern a6 in the corresponding building. Note that the target building structure information includes the same items as the building structure information stored in the building structure information DB unit 12. Therefore, in this case, the target building structure information also includes the maximum height [m] of the target building, the number of nodes of pattern a0, the number of nodes of pattern a1, the number of nodes of pattern a2, the number of nodes of pattern a1, the number of nodes of pattern a4, the number of nodes of pattern a5, the number of nodes of pattern a6, and the number of nodes of pattern a6 in the target building.

[0019] FIG. 3 is a schematic diagram illustrating patterns a0 to a7 in FIG. 2. As mentioned above, patterns a0 to a7 are patterns that consist of whether or not a member is attached in the positive direction of each of the x, y, and z axes. In FIG. 3, black circles represent nodes, solid lines indicate that a member is attached in that direction, and dashed lines indicate that a member is not attached in that direction. Note that for directions that have neither a solid line nor a dashed line, whether or not a member is attached in that direction does not affect whether or not the pattern applies.

[0020] As shown in Figure 3, pattern a0 is a pattern where no members are attached in the positive direction of the x, y, or z axes. Pattern a1 is a pattern where members are attached in the positive direction of the y axis, but no members are attached in the positive directions of the x and z axes. Pattern a2 is a pattern where members are attached in the positive direction of the x axis, but no members are attached in the positive directions of the y and z axes. Pattern a3 is a pattern where members are attached in the positive directions of the x and y axes, but no members are attached in the positive direction of the z axis.

[0021] Pattern a4 is a pattern where there are no attachments of members in the positive direction of the x-axis and y-axis, but there are attachments of members in the positive direction of the z-axis. Pattern a5 is a pattern where there are attachments of members in the positive direction of the y-axis and z-axis, but there are no attachments of members in the positive direction of the x-axis. Pattern a6 is a pattern where there are attachments of members in the positive direction of the x-axis and z-axis, but there are no attachments of members in the positive direction of the y-axis. Pattern a7 is a pattern where there are attachments of members in the positive direction of the x-axis, y-axis, and z-axis.

[0022] Fig. 4 is a diagram showing a second example of the stored contents of the architectural frame information DB unit 12. The example shown in Fig. 4 is an example in which the architectural frame information includes the number of nodes corresponding to each pattern consisting of whether or not members are attached in multiple directions, which is included in the frame of the corresponding building, and among these, it is an example in which the pattern consists of whether or not members are attached in the positive direction of each of the x, y, and z axes and the negative direction of each of the x, y, and z axes. The x, y, and z axes are the same as those in Fig. 2, and may be changed depending on the location and shape of the building, and may be the same for all nodes or may be different for each node.

[0023] In the example of Fig. 4, the architectural structure information DB unit 12 also stores architectural structure information of multiple buildings together with a building ID that identifies each corresponding building. In the example shown in Fig. 4, each piece of architectural structure information includes the maximum height [m] of the corresponding building, and the number of nodes of pattern b0, the number of nodes of pattern b1, the number of nodes of pattern b2, the number of nodes of pattern b3, the number of nodes of pattern b4, the number of nodes of pattern b5, the number of nodes of pattern b6, the number of nodes of pattern b7, the number of nodes of pattern b8, the number of nodes of pattern b9, the number of nodes of pattern b10, and the number of nodes of pattern b11 in the corresponding building. In this case, the target building structural information also includes the maximum height [m] of the target building, the number of nodes of pattern b0, the number of nodes of pattern b1, the number of nodes of pattern b2, the number of nodes of pattern b3, the number of nodes of pattern b4, the number of nodes of pattern b5, the number of nodes of pattern b6, the number of nodes of pattern b7, the number of nodes of pattern b8, the number of nodes of pattern b9, the number of nodes of pattern b10, and the number of nodes of pattern b11 in the target building.

[0024] FIG. 5 is a schematic diagram explaining patterns b0 to b11 in FIG. 4. As mentioned above, patterns b0 to b11 are patterns consisting of the orientation of each of the x, y, and z axes and whether or not a member is attached. In FIG. 5, as in FIG. 3, black circles represent nodes, solid lines indicate that a member is attached in that orientation, and dashed lines indicate that a member is not attached in that orientation. Note that, as in FIG. 3, for orientations that have neither a solid line nor a dashed line, whether or not a member is attached in that orientation does not affect whether or not the pattern applies.

[0025] As shown in Figure 5, pattern b0 is a pattern where there are no components attached to the positive directions of the x, y, and z axes, or the negative directions of the x and y axes. Pattern b1 is a pattern where one component is attached to only one of the four positive and negative directions of the x and y axes, and no components are attached to the remaining three directions or the positive direction of the z axis. Pattern b2 is a pattern where two components are attached to two of the four positive and negative directions of the x and y axes that form a 180-degree angle, and no components are attached to the remaining two directions or the positive direction of the z axis. Pattern b3 is a pattern where two components are attached to two of the four positive and negative directions of the x and y axes that form a 90-degree angle, and no components are attached to the remaining two directions or the positive direction of the z axis.

[0026] Pattern b4 is a pattern where three members are attached to three of the four positive and negative directions of the x and y axes, and no members are attached to the remaining one or to the positive direction of the z axis.Pattern b5 is a pattern where four members are attached to four of the four positive and negative directions of the x and y axes, and no members are attached to the positive direction of the z axis.Pattern b6 is a pattern where, in addition to pattern b0, there is an attachment of a member to the positive direction of the z axis.

[0027] Pattern b7 is a pattern where, in addition to pattern b1, a member is attached in the positive direction of the z-axis. Pattern b8 is a pattern where, in addition to pattern b2, a member is attached in the positive direction of the z-axis.

[0028] Pattern b9 is a pattern where, in addition to pattern b3, a member is attached in the positive direction of the z-axis. Pattern b10 is a pattern where, in addition to pattern b4, a member is attached in the positive direction of the z-axis. Pattern b11 is a pattern where, in addition to pattern b5, a member is attached in the positive direction of the z-axis.

[0029] 2 and 4 are shown as examples of cases where the architectural structure information includes the number of nodes corresponding to each pattern consisting of whether or not members are attached in multiple directions, which are included in the corresponding architectural structure. However, other patterns are also possible. For example, a pattern may consist of whether or not members are attached in the negative direction of each of the x, y, and z axes, or may consist of whether or not members are attached in the negative direction of each of the x, y, and z axes and in the positive direction of each of the x and y axes.

[0030] Fig. 6 is a diagram showing a third example of the contents stored in the architectural frame information DB unit 12. The example shown in Fig. 6 is an example in which the architectural frame information is the number of members (number of pieces) included in each of a plurality of length ranges included in the frame of the corresponding building, and in particular, the number of beam members and column members included in each of a plurality of length ranges. Note that the number of beam members or the number of column members may be used instead of the number of beam members and column members. In the example of Fig. 6 as well, the architectural frame information DB unit 12 stores the architectural frame information of a plurality of buildings together with a building ID that identifies each corresponding building. In the example shown in FIG. 6, each piece of building structural information includes the maximum height [m] of the corresponding building, the number of beam members in the corresponding building whose length is within l1, the number of beam members whose length is l1 to l2, the number of beam members whose length is l2 to l3, the number of beam members whose length is l3 to l4, and the number of beam members whose length is l4 or longer, and the number of column members whose length is within h1, the number of column members whose length is h1 to h2, the number of column members whose length is h2 to h3, the number of column members whose length is h3 to h4, and the number of column members whose length is h4 or longer.

[0031] Here, "~" represents the range from the description before "~" to the description after "~", for example, A~B is a range of A or more but less than B, or a range of more than A and less than B, ~B is a range less than B or a range less than B, and A~ represents a range of A or more or a range exceeding A. In this case, the target building frame information also includes the maximum height [m] of the target building, the number of beam members in the target building whose length is within ~l1, the number of members whose length is between l1 and l2, the number of members whose length is between l2 and l3, the number of members whose length is between l3 and l4, and the number of members whose length is between l4 and, and the number of column members whose length is within ~h1, the number of members whose length is between h1 and h2, the number of members whose length is between h2 and h3, the number of members whose length is between h3 and h4, and the number of members whose length is between h4 and.

[0032] Returning to Figure 1, the similar building extraction unit 13 extracts, from among the multiple buildings, buildings whose structures are similar to the building in the target building structure information. Here, each of the multiple buildings corresponds to multiple pieces of building structure information stored in the building structure information DB unit 12. The similar building extraction unit 13 selects each of the multiple buildings and extracts similar buildings based at least on the TanimotoScore calculated from the building structure information of the selected building and the target structure information, and the ratio of the maximum height of the target building to the maximum height of the selected building.

[0033] The similar building extraction unit 13 extracts similar buildings based on the value Sim of the modified TanimotoScore expressed in equation (1), where H1 is the maximum height of the target building and H2 is the maximum height of the selected building. Note that C1 represents the set of the target building structural information excluding the maximum height, and C2 represents the set of the selected building structural information excluding the maximum height. Furthermore, MAX(A,B) represents the larger value of A and B, and MIN(A,B) represents the smaller value of A and B.

[0034]

number

[0035] The similar building extraction unit 13 may extract the selected building as a similar building when the value Sim of the modified TanimotoScore exceeds a predetermined threshold, or may extract a predetermined number of buildings as similar buildings in descending order of the modified TanimotoScore value Sim. A combination of these may also be used. The value representing the similarity may be calculated using a method other than equation (1). For example, the value representing the similarity may be calculated by omitting the square root calculation from equation (1), or may be calculated as a weighted average of the ratio of the TanimotoScore to the maximum height. Each term may also be weighted.

[0036] TanimorScore is also known as the Tanimoto Coefficient or Jaccard Coefficient, and is used to measure the similarity of chemical compounds. TanimorScore is expressed by formula (2). In formula (2), N(C) represents the number of elements in set C, C1∩C2 represents the logical product of sets C1 and C2, and C1∪C2 represents the logical sum of sets C1 and C2. Thus, the TanimorScore increases as the proportion of common elements contained in sets C1 and C2 increases, and reaches the maximum value of "1" when sets C1 and C2 are the same set.

[0037]

number

[0038] FIG. 7 is a schematic diagram illustrating sets C1∪C2 and C1∩C2. In FIG. 7, each set is represented by a bar graph showing the distribution of elements with the same attribute. For example, if a set corresponds to the example building structural information shown in FIG. 2, the set is represented by a bar graph in which each bar represents the number of nodes in pattern a0, the number of nodes in pattern a1, the number of nodes in pattern a2, the number of nodes in pattern a3, the number of nodes in pattern a4, the number of nodes in pattern a5, the number of nodes in pattern a6, and the number of nodes in pattern a7.

[0039] Sets C1∪C2 and C1∩C2 can be calculated as follows: First, the bar graphs of sets C1 and C2 are overlaid to obtain bar graph G. Then, for the bars corresponding to each attribute in bar graph G, the larger of the two sets C1 and C2 is selected to become set C1∪C2, and the smaller of the two is selected to become set C1∩C2. In the case of Figure 2 or Figure 4, the elements of the set are nodes, and the attribute of each element is the attachment pattern of the component. In the case of Figure 6, the elements of the set are beams and columns, and the attribute of each element is the range of the component's length. Note that the lengths of beams and columns used vary from building to building, so the TanimotoScore can be calculated by assigning the same attribute to components within a certain range of lengths.

[0040] Returning to Fig. 1, the similar building information output unit 14 outputs information about the buildings extracted by the similar building extraction unit 13. As information about the buildings extracted by the similar building extraction unit 13, the similar building information output unit 14 may output only information indicating the buildings, such as the building ID and building name, or may output design information about the buildings. The output method may be to show the information on a display, output it as audio, output it as a file, or send it to another device.

[0041] FIG. 8 is a three-dimensional diagram showing an example of extraction of similar buildings according to this embodiment. FIG. 9 is a three-dimensional diagram showing an example of extraction of similar buildings according to a comparative example of this embodiment. When extracting similar buildings, the example in FIG. 8 uses modified TanimotoScore, while the example in FIG. 9, which is a comparative example, uses TanimotoScore. Each of FIGS. 8 and 9 shows three rows (top, middle, and bottom) with four rows each, for a total of 12 three-dimensional diagrams of building frames. The top row is an example of FIG. 2, i.e., an example in which the building frame information includes the number of nodes corresponding to each pattern consisting of whether or not members are attached in the positive direction of each of the x, y, and z axes, contained in the corresponding building frame. The middle row is an example of FIG. 4, i.e., an example in which the building frame information includes the number of nodes corresponding to each pattern consisting of whether or not members are attached in the positive direction of each of the x, y, and z axes, and the negative direction of each of the x and y axes, contained in the corresponding building frame. The bottom row shows the example of Figure 4, that is, an example where the architectural frame information is the number of beam members and column members (number of pieces) included in each of a plurality of length ranges included in the frame of the corresponding building.

[0042] The leftmost part of each row is a three-dimensional diagram of the target building's frame. Therefore, the leftmost part of all three rows is the same three-dimensional diagram. The remaining three three-dimensional diagrams in each row are the three with the highest similarity (modified TanimotoScore), arranged from left to right. In Figure 9, the top and middle rows are ranked second in similarity, and low-rise buildings different from the target building are included, but in Figure 8, such buildings are not included.

[0043] As described above, the similar building extraction device 10 in this embodiment includes a building frame information DB unit 12 that stores building frame information related to the frame of each of multiple buildings; a target building frame information acquisition unit 11 that acquires target building frame information, which is building frame information related to the frame of the target building; a similar building extraction unit 13 that extracts buildings with frames similar to the target building from among the multiple buildings; and a similar building information output unit 14 that outputs information indicating the extracted buildings. The similar building extraction unit 13 then selects each of the multiple buildings and extracts similar buildings based at least on the building frame information of the selected building, the TanimotoScore calculated from the target building frame information, and the ratio of the maximum height of the target building to the maximum height of the selected building. This incorporates the maximum height, an important factor for the building frame, in addition to the TanimotoScore, making it easy to extract similar buildings.

[0044] 1 may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read into a computer system and executed to realize the similar building extraction device 10. Note that the term "computer system" here includes hardware such as an OS and peripheral devices.

[0045] Furthermore, if a WWW system is used, the "computer system" also includes the homepage provision environment (or display environment). "Computer-readable recording media" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into computer systems. Furthermore, "computer-readable recording media" also includes devices that dynamically store programs for a short period of time, such as communication lines used when transmitting programs over networks like the Internet or over communication lines like telephone lines, and devices that store programs for a fixed period of time, such as volatile memory within computer systems that serve as servers or clients. The programs may also be programs that implement some of the aforementioned functions, or may be programs that can realize the aforementioned functions in combination with programs already stored in the computer system.

[0046] Furthermore, each functional block of the similar building extraction device 10 in FIG. 1 may be individually formed into a chip, or some or all of them may be integrated into a chip. Furthermore, the method of integrated circuit formation is not limited to LSI, and may be realized by a dedicated circuit or a general-purpose processor. Either a hybrid or monolithic method is also acceptable. Some functions may be realized by hardware and some by software. Furthermore, if advances in semiconductor technology result in the emergence of integrated circuit technology that can replace LSI, it may also be possible to use integrated circuits based on such technology.

[0047] Although an embodiment of the present invention has been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes and the like are also included within the scope that does not deviate from the gist of the present invention. [Explanation of symbols]

[0048] 10 Similar building extraction device, 11 Target building frame information acquisition unit, 12 Building frame information DB unit, 13 Similar building extraction unit, 14 Similar building information output unit

Claims

1. a building frame information database unit that stores building frame information relating to the frames of each of a plurality of buildings; a target building frame information acquisition unit that acquires target building frame information, which is building frame information related to the frame of the target building; a similar building extraction unit that extracts buildings having a similar structure to the target building from among the plurality of buildings; an output unit that outputs information indicating the extracted building; Equipped with The similar building extraction unit selects each of the plurality of buildings, and extracts the similar building based at least on the TanimotoScore calculated from the building frame information of the selected building and the target building frame information, and the ratio of the maximum height of the target building to the maximum height of the selected building. Similar architecture extraction device.

2. The ratio of the maximum height of the target building to the maximum height of the selected building is a value obtained by dividing the lower of the maximum height of the target building and the maximum height of the selected building by the higher of the maximum height of the target building and the maximum height of the selected building; The similar building extraction device according to claim 1 , wherein the similar building extraction unit extracts the similar building based on a square root of a product of the TanimotoScore and the value.

3. 3. The similar building extraction device according to claim 1, wherein the architectural structure information includes the number of nodes corresponding to each of a plurality of patterns of whether or not members are attached in a plurality of directions.

4. The similar building extraction device according to claim 1 or 2, wherein the architectural structure information includes the number of members included in each of a plurality of length ranges.

5. A similar building extraction method using a similar building extraction device having an architectural frame information database unit that stores architectural frame information related to the frames of each of a plurality of buildings, A step of acquiring target building frame information regarding a frame of a target building; extracting buildings having a similar structure to the target building from among the plurality of buildings; outputting information indicating the extracted building; and The extracting step selects each of the plurality of buildings, and extracts the similar buildings based at least on the TanimotoScore calculated from the structural information of the selected building and the structural information of the target building, and the ratio of the maximum height of the target building to the maximum height of the selected building. Similar architecture extraction method.

6. Computer, an architectural frame information database unit that stores architectural frame information relating to the frames of each of the plurality of buildings; a target building frame information acquisition unit that acquires target building frame information related to the frame of the target building; a similar building extraction unit that extracts buildings having a similar structure to the target building from among the plurality of buildings; an output unit that outputs information indicating the extracted building; A program for functioning as The similar building extraction unit selects each of the plurality of buildings, and extracts the similar building based at least on the TanimotoScore calculated from the building frame information of the selected building and the target building frame information, and the ratio of the maximum height of the target building to the maximum height of the selected building. program.

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