JP3801119B2 - System and program for determining optimum shape of building - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a system and a program for determining the optimum shape of a building suitable for use in determining the optimum form of a planned building.
[0002]
[Prior art]
In order to ensure a good living environment, the Building Standards Law restricts the height of buildings by means of oblique line restrictions and shade restrictions. The oblique line restriction is to restrict the height of each part of the building, up to a height proportional to the distance to the boundary line on the opposite side of the front road or the adjacent land boundary line. In addition, the shading regulation is a regulation that the shading time by the building does not exceed a certain time at the point where it exceeds the measuring line (5m line, 10m line) with a horizontal distance of 5m and 10m from the boundary line of the medium- and high-rise building. To do.
[0003]
For example, a shadow check system is known as a system for determining whether or not to clear such a restriction on height. This shade check system is a system for determining whether or not the shade regulation is acceptable for a concrete plan of a planned building.
[0004]
On the other hand, various conditions (for example, site position, road position, north direction, check line position, allowable shade time, etc.) are set and input, and the oblique line restriction and the shade restriction are satisfied based on these setting conditions. A reverse shade system is generally known as a system for calculating a building area.
[0005]
[Problems to be solved by the invention]
  However, in the conventional shadow check system described above, pass / fail is determined for each tentative proposal.BecauseAlthough the designer's wishes can be directly reflected in the design of the planned building, there has been a problem that a lot of trial and error is required to obtain a necessary building volume.
[0006]
On the other hand, in the conventional reverse shadow system, it is possible to obtain various solutions (constructable areas) depending on how the conditions are given, but it is difficult to grasp the correlation between the obtained solutions and the given conditions. There was a problem that it was difficult to directly reflect the wishes of the designer. In addition, because the building plan area is simply output, not the specific plan contents of the building, it is difficult to evaluate the output result, and the building range corresponding to each given condition should be compared at the same time. There was also a problem that it was not possible.
Further, in any of the above systems, there is a possibility that an optimum building form may be missed, and furthermore, there is a problem that it takes a lot of time and effort to obtain an optimum solution.
[0007]
The present invention has been made in view of such circumstances, and an object thereof is to provide a building optimum shape determination support system and program capable of easily obtaining an optimum form of a building.
[0008]
[Means for Solving the Problems]
  The building optimum shape determination support system according to the present invention as set forth in claim 1 sets a plurality of unit arrangement frames whose positions and shapes in space are determined in advance, and sets some of the unit arrangement frames in the building A building model creating means for creating a building model by arranging units as unit constituent elements, an input means for setting and inputting a constraint condition regarding the shape of the building, and the building model created by the building model creating means are Determination means for determining whether or not the constraint condition input by the input means is satisfied;Of the building models that satisfy the above constraint conditions, a building model that does not satisfy the above constraint conditions when at least one other unit is added is defined as the maximum state building model. The maximum state extracting means for extracting from the building model and only the building model in the maximum state extracted by the maximum state extracting means.Output means for evaluating and outputting with predetermined evaluation items.
[0009]
  Also,Claim 4The program for determining the optimum shape of a building according to the present invention described in the present invention sets an input step for setting and inputting a constraint condition related to the shape of the building, and sets a plurality of unit arrangement frames whose positions and shapes in space are determined in advance. The building model creation step of creating a building model by placing units that are building unit components in some of the unit arrangement frames, and the building model created in the building model creation step are A determination step of determining whether or not the input constraint condition is satisfied;Of the building models that satisfy the above constraint conditions, a building model that does not satisfy the above constraint conditions when at least one other unit is added is defined as the maximum state building model. Only the maximum state extraction step for extracting from the building model and the building model in the maximum state extracted by the maximum state extraction means,An output step of evaluating and outputting with a predetermined evaluation item is executed by a computer.
[0010]
Here, the unit corresponds to one dwelling unit or a combination of a plurality of dwelling units, for example, in a building such as an apartment house, and corresponds to one guest room or a combination of a plurality of guest rooms in a building such as a hotel. The building may be in any form as long as it is a building constituted by a combination of a plurality of units. In particular, in multi-family housings, a method of vertically stacking the same flat unit units according to the demand for productivity is generally adopted. Therefore, the optimal shape determination support system according to the present invention is preferably used when designing multi-family housings. Can be used.
[0011]
The building model may be in any form as long as the combination pattern (which unit is arranged where) of the units constituting the building model can be specified. As a method of creating this building model, for example, a space area where units can be arranged is obtained based on constraints, all units that can be accommodated in this space area are derived, and an arbitrary number of units are selected from these units. For example, a method of appropriately extracting and creating a building model based on the extracted unit combination pattern may be used.
[0012]
  For example, various restrictions (such as building oblique line restrictions, floor area restrictions, shading regulations in the Building Standards Act, sky rate at specific locations, etc.) Setting conditions (for example, structural constraints that do not allow the presence of units floating in the air, the number of peaks that serve as an index of continuity of horizontal flow lines on each floor, and the like) are included.
  Predetermined evaluation items include the number of units or total floor area (volume) as typical evaluation items, but in addition, the floor area / outer wall area ratio that affects the construction cost per unit area, total floor area The ratio of the revenue area to the area, the total sunshine hours received by each unit, etc. These evaluation items may be set in advance in the system, or may be set or selected by the user each time. In addition, as a method of evaluating a building model with a predetermined evaluation item, for example, each piece of information by quantifying information corresponding to the evaluation item of each building model and substituting it into a predetermined arithmetic expression or determining with a determination expression For example, a method for assigning an evaluation score to a building model. As an output method in this case, for example,Claim 2As described in the invention described above, there are a method of sequentially outputting a building model having a high evaluation score, and a method of outputting only a building model having a predetermined evaluation score or higher.
[0013]
  Claim 1 or 4According to the invention described in the above, a building model is automatically created, and it is determined whether or not this building model satisfies the constraint condition,Then, the building model in the maximum state is extracted from the building models that are determined to satisfy the constraints, and the building model in the maximum state is extracted.Since the evaluation is performed using predetermined evaluation items and the output is made, the designer can easily obtain a desired building model from the building models satisfying the constraints, and based on this building model, the building The optimal form can be easily determined. In addition, the designer's wishes can be directly reflected in the design of the planned building.
[0016]
  The maximum state isThe combination pattern of the unit corresponding to the building model created by the building model creation means satisfies the above constraint conditions and does not include any other combination pattern that completely includes the building form and satisfies the above constraint conditions.For example, the unit combination pattern P corresponding to a certain building model satisfies the constraint condition C, and satisfies another constraint pattern (P + α) that completely includes the pattern P. If nothing exists, the pattern P is in a maximal state with respect to the constraint C.
[0017]
  In the invention according to claim 1 or 4,Since the building model in the maximum state is extracted from the building models satisfying the constraint conditions, it becomes easy to narrow down the building models used for the design, and the optimum form of the building can be obtained easily and quickly.
  The reason why such an effect is obtained is based on the following background.
[0018]
That is, there is a tendency that a building shape having a volume as large as possible is generally required from the viewpoint of the profitability of the building, and the volume of the building is one of the most important evaluation items. On the other hand, there are various laws and regulations as indispensable constraints on building shapes, and many of these are constraints on size. A size-related constraint condition refers to a condition that when a building form satisfies the condition, all forms completely included in the building form satisfy the same condition. The size-related constraints do not necessarily require that the building outline be contained within one defined area. For example, the shading regulations and the stipulations for slanting restrictions due to the sky rate are more than one unit. Even if you find one extreme state that cannot be added, you can remove a number of units from that state and add as many units as possible to another location. The form is allowed.
The designer has to find the optimum form by aiming for the largest possible volume among the many possibilities that satisfy the constraints on the size.
[0019]
On the other hand, it is also true that the goal is not just to obtain the maximum volume, and there are some evaluation items that conflict with the volume. When there are such conflicting evaluation items, it is difficult to determine a method for synthesizing evaluation points so that they can be comprehensively evaluated numerically at the same time. Furthermore, some of the evaluation items must be based on the visual intuition of the designer, and it is not possible to rely entirely on the method of extracting the optimum plan by ranking the evaluation points.
For this reason, even when a designer tries to obtain a pattern with a high evaluation score by selecting some evaluation items that can be numerically evaluated, not only the highest evaluation score but also a considerably higher evaluation score than that. It is necessary to pay attention to low patterns.
[0020]
However, in general, even if it is limited to only a few patterns below the highest evaluation point, the number is often very large, and it is difficult to find the optimal proposal by browsing all of them. It is.
For these reasons, it is extremely effective as a method for selecting a comprehensive optimum plan to extract a building model in a maximal state from building models that satisfy the constraint conditions and to show the extraction result to the designer. . A set of building models in a maximal state is a relatively small number that gives useful information for the designer's decision out of a huge number of unit combination patterns that meet the constraints, considering its characteristics. Has been elected. It shows the designer a unique idea with the center of gravity in various parts of the unit layout frame, while aiming for a larger volume. You can show the designer a pattern that suggests a suggestion.
[0021]
Note that the building model and its set in the maximum state have the following characteristic points.
First of all, the number of building models in the maximum state is very small compared to the whole building model that satisfies the constraint conditions. Even when listing a certain evaluation item above a certain evaluation item, if the list is limited to only the building model in the maximum state, the number is generally very small.
Secondly, the set of building models in the maximum state always includes the one with the maximum volume that satisfies the constraint conditions.
[0022]
Third, each of the building models in the maximal state may be considerably smaller than the maximum volume, but in a form close to itself, it is in a limit state as a result of aiming at the maximum volume.
Fourth, all of the building models that satisfy the constraint conditions can be obtained only by the procedure of unilaterally removing the units from the combination of the units constituting the building model in the maximum state. Furthermore, if the building model is the result of a larger volume orientation, even if it is not itself maximal, it can be obtained with a simple procedure of removing a small number of units from one maximal state. Can do.
[0023]
Fifth, a set of building models in a maximal state is more diverse in content than a set of only building models that have a large volume among building models that satisfy the constraint conditions. That is, the set of building models in the maximum state always includes a unit combination pattern in the case where all the units are buried in an arbitrary part of the predetermined unit arrangement frame. For example, if we obtain a set of local maximums for a 10-span building, there are local maximums when we assume that a particular one of the 10 spans is maximized. It still exists.
[0025]
  Claim 2The invention described inClaim 1In the building optimum shape determination support system described in (2), the output means is arranged to output in order from a building model having a high evaluation score for the predetermined evaluation item.
  thisClaim 2According to the invention described in (4), since the building models with the high evaluation score for the predetermined evaluation item are output in order, the comparison between the obtained building models is facilitated. Moreover, a desired building model can be found in a short time.
[0026]
  Claim 3The invention described inClaim 1 or 2The building optimum shape determination support system described in 1) is characterized by comprising display means for displaying the overall shape of the building model in a state where the combination pattern of the units constituting the building model can be identified.
  thisClaim 3According to the invention described in the above, since the overall shape of the building model is displayed in a state where the combination pattern of the units constituting the building model can be identified, the designer intuitively determines the suitability of the building model. Judgment can be made.
[0027]
DETAILED DESCRIPTION OF THE INVENTION
FIG. 1 is a schematic configuration diagram showing an embodiment of a building optimum shape determination support system according to the present invention.
As shown in FIG. 1, this building optimum shape determination support system 10 includes a CPU 11, a RAM 12, a display device (display means) 13, an input device (input means) 14, a storage device 15, and the like. Connected by.
A CPU (Central Processing Unit) 11 stores various processing programs stored in a storage area of the storage device 15, various instructions input from the input device 14, various data corresponding to the instructions, and the like in the RAM 12, and inputs them Various processes are executed in accordance with various processing programs stored in the RAM 12 in accordance with the instructions and various data, and the processing results are temporarily stored in the RAM 12 and output to the display device 13 or the like.
[0028]
  The CPU 11 constitutes a building model creation means according to the present invention, sets a plurality of unit arrangement frames whose positions and shapes in space are determined in advance, and sets a unit of a building in some of the unit arrangement frames. Create a building model by placing units that serve as components (for example, if the building is an apartment house, the unit corresponding to the dwelling unit)ProcessingExecute. Specifically, a frame (unit arrangement frame) in which the unit can be arranged is obtained based on some constraints on the shape of the building (for example, oblique line restriction), and whether or not the unit exists in each of the frames. (For example, when there are 10 frames, the frame is expressed by a 10-digit bit string, and “1” is set when the unit is present, and “0” is set when there is no unit, “1011011110”, “01011111101”. A plurality of building models are created by setting unit combination patterns. Further, for example, when there are plane areas A, B, and C in which units can be stacked, the number of units stacked in each plane area A, B, and C is set (for example, “the number of unit stacks in A” , B, and unit stacking numbers in C, set unit combination patterns such as “7, 6, 9”, “5, 9, 8”) to create multiple building models It is also possible to do.
[0029]
Further, the CPU 11 constitutes a determination unit and an output unit according to the present invention, and determines whether the created building model satisfies the constraint condition regarding the shape of the building, and based on the determination result, the constraint A process of evaluating and outputting a building model satisfying the condition with a predetermined evaluation item (for example, total floor area) is executed.
In addition, the constraint condition regarding the shape of the building is set and input from the input device 14, and examples of the constraint condition include legal restriction conditions (such as building diagonal line restrictions and shading restrictions according to the Building Standards Act). And setting conditions that are determined according to the plan details of the building (structural constraints that do not allow the presence of units floating in the air, the number of peaks that serve as an indicator of continuity of horizontal flow lines on each floor, etc.) It is.
[0030]
Moreover, CPU11 comprises the maximum state extraction means which concerns on this invention, and performs the process which extracts the building model in a maximum state from the building models which satisfy | fill a constraint condition. Here, the maximal state means that the unit combination pattern corresponding to the created building model satisfies the constraint condition and does not include any other combination pattern that completely includes the building form and satisfies the constraint condition. This is the limit state. For example, the unit combination pattern “1011011110” described above satisfies the constraint conditions, and a combination pattern (“1111011110”, “1011111110”, “1011011111”, “1111011111”) in which one or more other units are added to this pattern. Etc.) does not satisfy the constraint condition, this combination pattern “1011011110” is in a maximal state with respect to the constraint condition. Similarly, the unit combination pattern “7, 6, 9” described above satisfies the constraint condition, and a combination pattern (“8, 6, 9”, “7”) in which one or more other units are added to this pattern. , 7, 9 ”,“ 7, 6, 10 ”,“ 8, 7, 9 ”, etc.) do not satisfy the constraint, this combination pattern“ 7, 6, 9 ”is the maximal state with respect to the constraint It becomes.
[0031]
It should be noted that a unit combination pattern obtained by excluding some units from the combination pattern of units in the maximum state (for example, “0011011110”, “6, 6, 9”, etc.) According to the definition of the maximal state, the included unit combination pattern) does not become the maximal state, and therefore it is not necessary to determine whether or not such a combination is in the maximal state. On the other hand, a unit combination pattern obtained by adding another unit to a combination pattern of units in the maximum state (for example, “1111011110”, “8, 6, 9”, etc.) completely includes a combination pattern of units in the maximum state. As for the combination pattern of another unit, the constraint condition is not satisfied (therefore, the maximum state is not reached). Therefore, it is not necessary to determine whether or not such a combination is in the maximum state. .
When the combination pattern of units is expressed in binary, the inclusion relationship between the combination patterns of two units can be determined instantaneously by a single bit operation (OR operation). That is, assuming that the bit string corresponding to the unit combination pattern A is (a) and the bit string corresponding to the unit combination pattern B is (b), in each digit, (a) or (b) = (a) is If true, A⊇B.
[0032]
A RAM (Random Access Memory) 12 includes various processing programs executed by the CPU 11 and a storage area for temporarily storing data relating to the processing.
The display device 13 is configured by a CRT (Cathode Ray Tube), an LCD (Liquid Crystal Display), or the like, and displays various screens based on display data input from the CPU 11.
The input device 14 is configured by a keyboard, a pointing device, and the like, and outputs an input instruction signal to the CPU 11. The input device 14 constitutes input means according to the present invention, and has a function of setting and inputting various constraint conditions related to the shape of the building in accordance with an input screen displayed on the display device 13.
[0033]
The storage device 15 includes a storage medium 15a in which programs, data, and the like are stored. The storage medium 15a is configured by a magnetic or optical recording medium or a semiconductor memory. This storage medium 15a is fixedly attached to the storage device 15, or is detachably mounted, and various processing programs executed by the CPU 11 (including the building optimum shape determination support program according to the present invention). And a storage area for storing control data and the like. When the CPU 11 executes the building optimum shape determination support program stored in the storage medium 15a, the building optimum shape determination support process (FIG. 2), which will be described later, is performed. The optimum shape determination support program stored in the storage medium 15a may be configured to receive a part or all of it from another computer or the like via a network or the like and store it.
[0034]
Next, the optimum shape determination support process for a building executed by the optimum shape determination support system for a building having the above configuration will be described.
As shown in FIG. 2, the optimum shape determination support process of the building includes the processes of steps S <b> 1 to S <b> 6, and these series of processes are the optimal shape determination support program of the building stored in the storage medium 15 a of the storage device 15. It is designed to be performed sequentially.
[0035]
First, in step S1, a process of setting and inputting a constraint condition regarding the shape of the building is performed (input step). Items to be set and input in this process include items related to legal restriction conditions such as shade restrictions and oblique line restrictions (for example, site input, road setting, boundary condition setting, north direction setting, check line or observation) Point setting, setting of allowable shade time at each observation point, etc.) and items related to the setting conditions determined according to the plan of the building (for example, setting whether to allow units floating in the air, top For example, setting the allowable number).
[0036]
In this process, an input screen for prompting input of setting of each constraint condition is displayed on the display screen of the display device 13, and setting input of each constraint condition is performed from the input device 14 in accordance with this input screen. In addition, on this input screen, setting input of items related to various design conditions necessary for creating a building model (for example, setting of the unit plane arrangement, setting of the unit plane shape and floor height, etc.) is also performed. It is like that. For example, as shown in FIG. 3, each setting content is displayed on the display screen of the display device 13 and then stored in a storage area of the storage device 15. In FIG. 3, reference numeral 21 denotes a boundary line of the site, 22 denotes a plane arrangement of the building, 23 denotes a plane arrangement of the unit, 24 a denotes a 5 m line, 24 b denotes a 10 m line 24 b, and 25 denotes an observation point.
[0037]
Next, in step S2, processing for creating a building model is performed (building model creation step).
In this process, first, a buildable area is set based on a partial condition (for example, oblique line restriction) in the restriction condition, and the maximum building model Mx that can be taken in this buildable area is obtained. Thereafter, an arbitrary number of units are extracted from the unit group constituting the building model Mx to generate a combination of units having various patterns, and a building model corresponding to each combination pattern is created. In the example of FIG. 4, since the building model Mx is configured by a combination of 93 units, frames “0” to “92” corresponding to each of the 93 units are set, and from among these frames A combination of frames in which units are arranged is sequentially extracted, and a building model corresponding to each combination pattern is created.
[0038]
Next, in step S3, a process of determining whether or not the building model created in step S2 satisfies the constraint condition input in step S1 is performed (determination step). Here, whether or not the building model created in step S2 satisfies the constraint conditions (for example, shade restrictions) excluding some conditions (for example, oblique line restrictions) added in the building model creation stage in step S2. Processing for determining whether or not. For example, when it is determined whether or not the building model created in step S2 satisfies the shading regulations, the shading time when the building model is actually constructed is calculated for all observation points 25 (FIG. 3). Then, the calculation results are compared with an allowable shade time set in advance for each observation point. As a result, if the shadow time at all the observation points 25 is less than the allowable shadow time, it is determined that the building model satisfies the shadow regulation, while the calculated shadow time is the allowable day. When even one observation point 25 exceeding the shadow time exists, it is determined that the building model does not satisfy the shadow regulation.
[0039]
As a result of the determination in step S3, when it is determined that the constraint condition is not satisfied, the process returns to step S2. On the other hand, when it is determined that the constraint condition is satisfied, the process proceeds to step S4.
[0040]
Next, in step S4, a process of determining whether or not the building model determined to satisfy the constraint conditions in step S3 is a maximal building model is performed. If the result of this determination is that the building model is in a maximal state, processing for storing the unit combination pattern corresponding to this building model in the storage area of the storage device 15 is executed (maximum state extraction step). Thereafter, in step S5, the processes in steps S2 to S4 are repeated until it is determined that determinations for all building models are completed. When determinations for all building models created in step S2 are completed, the process proceeds to step S6. .
[0041]
In the repetitive processing of steps S2 to S4, for example, the following method can be employed to increase processing efficiency.
First, as described above, frames (unit arrangement frames) are set, the frames are arranged in a line, and the last 10 digits (hereinafter abbreviated as the lower digit portion) of this frame and the upper digits (hereinafter, It is abbreviated as upper girder part). Then, for all combination patterns (A1, A2, A3,... AN) of the upper digit part, each pattern is sequentially called, and the called upper digit part pattern (for example, A1) and the lower digit part respectively. Building models are sequentially created based on combinations of patterns (1024 patterns from “0000000000000” to “1111111111”).
[0042]
In that case, first, a building model is created by combining the upper digit pattern (for example, A1) that has been called and the lower digit part pattern (“0000000”) in which the last 10 digits are all “0”. To do. And, for this building model, the constraint condition regarding the size included in the constraint condition (when a certain building form satisfies the condition, it means that all forms that completely include the condition satisfy the same condition) , This condition includes, for example, shade regulation, etc.), and if the result of this determination does not satisfy the constraint on the size, the pattern of the upper digits that have been called It is determined that there is no building model in the maximum state among the building models that completely include (A1), and the process proceeds to the next upper girder pattern (A2). In this case, all determinations of the building model corresponding to the combination of the upper digit pattern (A1) and the lower digit pattern other than “0000000” (1023 patterns from “0000000001” to “1111111111”) are omitted. Can do.
[0043]
On the other hand, if the building model that combines the called upper girder pattern (A1) and the lower girder pattern ("0000000000000") satisfies the above-mentioned constraints on the size, the called upper girder pattern ( A1) and a building model in which the last 10 digits are all combined with the pattern of the lower digits of “1” (“1111111111”) are created, and whether or not the above-mentioned size constraint condition is satisfied for this building model Determine whether. As a result of this determination, if the size-related constraint condition is satisfied, a building model is created based on the combination of the called upper girder pattern (A1) and the lower girder pattern, respectively. For one building model, determine whether or not the constraint conditions other than the above-mentioned size constraint conditions (for example, the number of tops, structural constraints, minimum reserved floors for a specific span, etc.) are satisfied. When it is satisfied, it is determined whether or not the maximum state is reached. In this case, any combination other than the upper digit pattern (A1) and the lower ten digit pattern (“1111111111”) is completely included in the combination form of “1111111111”, and thus becomes a maximal state. No. Therefore, the maximum state determination process for these combinations can be omitted. On the other hand, if the building model that combines the called upper girder pattern (A1) and the lower girder pattern ("1111111111") does not satisfy the constraint on the size, the called upper girder pattern A building model is created based on a combination of (A1) and each pattern of the lower girder part, and it is determined whether or not each building model satisfies all the constraint conditions including the constraint condition related to the size. If the condition is satisfied, it is determined whether or not the state is a maximum state.
[0044]
When all the combinations of the called upper digit part pattern (A1) and lower digit part combination are completed, the process proceeds to the next upper digit part pattern (A2), and the same processing is repeated. As described above, according to the above method, a part of the determination can be omitted, and thereby the processing time of steps S2 to S4 can be shortened. For example, when the number of digits in the upper digit part is still large, the same method can be applied to the lower 10 digits in the upper digit part. When the repetition process of steps S2 to S4 is completed, the process proceeds to step S6.
[0045]
In step S6, a process of evaluating and outputting the building model in the maximum state extracted in step S4 with a predetermined evaluation item is performed (output step). Examples of the predetermined evaluation items include the number of units, the total floor area, the ratio of the outer wall area to the total floor area, and the total sunshine hours received by each unit. These evaluation items are stored in advance in a storage area or the like of the storage device 15 in a state that can be selectively input from the input device 14.
[0046]
The building models in the maximum state extracted in step S4 are displayed in a list on the display screen of the display device 13 in descending order of evaluation score for the evaluation item selected from the input device 14, as shown in FIG. When a plurality of evaluation items are selected, comprehensive evaluation points are calculated based on weights, priorities, and the like for each evaluation item, and building models are displayed in a list in descending order of the total evaluation points. If any one of the building models displayed in the list is selected from the input device 14, the overall shape of the building model is displayed in a state where the combination pattern of units constituting the building model can be identified as shown in FIG. 13 display screens. Therefore, the designer can intuitively determine the suitability of the building model visually.
[0047]
In the example of FIG. 4A, “2”, “22”, “41”, “63”, “72”, “73”, “74” in the frames “0” to “92”. ”,“ 75 ”,“ 84 ”, and“ 92 ”frames, each representing a building model (unit combination pattern) in which the unit exists, and the example of FIG. For each frame except frames “14”, “22”, “41”, “52”, “63”, “72”, “73”, “74”, “75”, “84”, “92” Represents the building model where the unit exists. A building model in which units are arranged in all the frames “0” to “92” is the building model Mx described above. For example, when the number of units is used as the evaluation item, the building model in FIG. 4A with the number of units “83” is higher than the building model in FIG. 4B with the number of units “81”. Will be displayed.
[0048]
In this way, the building models in the maximum state are displayed in a list in descending order of the evaluation score for the evaluation items set by the designer, so the designer sequentially checks the form of the building model from the top of the list display. By doing so, it is possible to easily and quickly find a desired building model that matches or is close to the image of the designer.
Note that the combination pattern of units excluding some units from the combination pattern of units in the maximal state will satisfy at least the size restriction condition, so some units from the combination pattern of units in the maximal state A desired building model can also be obtained by a simple operation of removing the.
[0049]
As described above, according to the present embodiment, by inputting a constraint condition from the input device 14 (step S1), a building model is automatically created (step S2). It is determined whether or not it is satisfied (step S3), and then a building model in the maximum state is extracted from the building models determined to satisfy the constraint conditions (step S4), and the building model in this maximum state is extracted. Is evaluated by a predetermined evaluation item and output (step S6), the designer can easily find a desired building model from among the building models satisfying the constraint conditions. Based on this, the optimum form of the building can be determined easily and quickly. That is, the designer's wish can be directly reflected in the design of the planned building.
[0050]
【The invention's effect】
  As explained above,Claim 1 or 4According to the invention described in the above, it is possible to provide the designer with effective information for selecting the optimum plan. Therefore, it becomes easy to determine the optimum form of the building, and the designer's wish can be directly reflected in the design of the planned building.
  Also, because only the building models that are in the maximum state are extracted from the building models that satisfy the constraints,Effective information for selecting the optimum plan can be provided to the designer in a state of being collected in a small number. Thus, the designer can easily and quickly determine the optimal form of the building..
  Claim 2According to the invention described in (1), it becomes easy to compare and compare the obtained building models, and a desired building model can be found in a short time.
  Claim 3According to the invention described in (4), the designer can intuitively determine the suitability of the building model visually.
[Brief description of the drawings]
FIG. 1 is a schematic configuration diagram showing an embodiment of a building optimum shape determination support system according to the present invention.
FIG. 2 is a flowchart of a building optimum shape determination support process executed by the optimum shape determination support system of FIG. 1;
FIG. 3 is a schematic diagram illustrating an example of setting a unit layout and observation points.
FIG. 4 is a schematic diagram showing a display example of a building model in a maximum state.
FIG. 5 is a schematic diagram showing a list display example of a building model in a maximum state.
[Explanation of symbols]
10 Optimal shape determination support system for buildings
11 CPU
(Building model creation means, judgment means, output means, maximum state extraction means)
13 Display device (display means)
14 Input device (input means)

Claims (4)

Create a building model by setting a plurality of unit arrangement frames whose positions and shapes in space are determined in advance and arranging units that are unit components of the building in some of the unit arrangement frames Means,
An input means for setting and inputting a constraint on the shape of the building;
Determining means for determining whether the building model created by the building model creating means satisfies the constraint condition input by the input means;
Of the building models that satisfy the above constraint conditions, a building model that does not satisfy the above constraint conditions when at least one other unit is added is defined as the maximum state building model. Maximal state extraction means for extracting from the building model;
An optimum shape determination support system for a building, comprising: an output unit that evaluates and outputs only the building model in the maximum state extracted by the maximum state extracting unit using a predetermined evaluation item. 2. The building optimum shape determination support system according to claim 1, wherein the output unit outputs the building models arranged in order from a building model having a high evaluation score for the predetermined evaluation item. 3. The optimum shape determination support system for a building according to claim 1 or 2, further comprising display means for displaying an entire shape of the building model in a state in which a combination pattern of units constituting the building model can be identified. An input step for setting and inputting constraints on the shape of the building;
Create a building model that creates a building model by setting multiple unit placement frames whose positions and shapes in space are determined in advance, and placing units that are unit components of the building in some of the unit placement frames Steps,
A determination step of determining whether the building model created in the building model creation step satisfies the constraint condition input in the input step;
Of the building models that satisfy the above constraint conditions, a building model that does not satisfy the above constraint conditions when at least one other unit is added is defined as the maximum state building model. A maximum state extraction step to extract from the building model;
An optimal shape determination support program for a building, which causes a computer to execute an output step of evaluating and outputting only the building model in the maximum state extracted by the maximum state extracting means using a predetermined evaluation item.

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