Planting selection system and planting selection method

Abstract

To provide a planting selection system and the like capable of appropriately selecting a plant planted in an area to be planted of a building.SOLUTION: A planting selection system includes: a storage part which stores a database in which a type of plant is associated with characteristics regarding shade tolerance and wind tolerance; a simulation part which performs sunshine simulation and air current simulation regarding an area to be planted of a subject building by using a three-dimensional shape model of the subject building and its surrounding buildings; and a selecting part which selects a plant planted in each of a plurality of sections of the area to be planted on the basis of a result of simulation and database.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a plant selection system and a plant selection method. [Background technology]

[0002] Plants require water, light, air, and minerals to grow, and some research has shown that providing plants with an appropriate amount of wind can promote their growth. Conventionally, there is known technology that simulates the growth of natural turf in stadiums, taking into account environmental conditions such as the amount of sunlight (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2015-156809 Summary of the Invention [Problem to be solved by the invention]

[0004] When planting areas on buildings, such as the green walls of buildings, are positioned in a way that makes them susceptible to the effects of the natural environment (sunlight, wind), or when there is a mixture of areas that are susceptible to the effects of the natural environment and areas that are less susceptible to the effects of the natural environment, it is necessary to select plants that take environmental conditions into consideration.

[0005] The present invention was made in consideration of the above-mentioned problems, and its main purpose is to provide a planting selection system etc. that can appropriately select plants to be planted in the target planting area of ​​a building. [Means for solving the problem]

[0006] The present invention relates to a plant selection system that includes a memory unit that stores a database that associates plant types with characteristics related to shade tolerance and wind resistance, a simulation unit that uses a three-dimensional shape model of a target building and buildings surrounding the target building to simulate sunlight and airflow for a target planting area in the target building, and a selection unit that selects plants to be planted in each of multiple sections of the target planting area based on the results of the simulation and the database.

[0007] The present invention also relates to a plant selection method comprising: a storage step for storing in a memory unit a database that associates plant types with characteristics related to shade tolerance and wind resistance; a simulation step for simulating sunlight and airflow in a target planting area of ​​a target building using a three-dimensional shape model of the target building and buildings surrounding the target building; and a selection step for selecting plants to be planted in each of a plurality of sections of the target planting area based on the results of the simulation and the database.

[0008] According to the present invention, plants to be planted in each of multiple sections of a target planting area can be appropriately selected by taking into consideration the sunlight and air currents in the target planting area and the characteristics of the plants regarding shade tolerance and wind resistance. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 2 is a diagram showing an example of functional blocks of the plant selection system of the present embodiment. [Figure 2] FIG. 10 is a diagram showing an example of a database associating plant types with shade tolerance and wind tolerance. [Figure 3] FIG. 10 is a diagram showing an example of a simple city model used in a sunshine simulation. [Figure 4] FIG. 10 is a diagram showing an example of a partial detailed model obtained by cutting out a target planting area from a detailed model of the surrounding area of ​​the target planting area. [Figure 5]FIG. 10 is a diagram showing an example of a simplified model obtained by simplifying a detailed model of the area around the target planting area. [Figure 6] FIG. 10 is a diagram showing an example of an integrated model obtained by integrating a simple city model, a partial detailed model, and a simple model. [Figure 7] FIG. 10 is a diagram showing an example of the position of the sun set in a virtual three-dimensional space. [Figure 8] FIG. 10 is a diagram showing an example of the position of the sun set in a virtual three-dimensional space. [Figure 9] FIG. 10 is a diagram showing an example of the position of the sun set in a virtual three-dimensional space. [Figure 10] FIG. 10 is a diagram showing an example of illuminance distribution in a target planting area. [Figure 11] FIG. 10 is a diagram showing an example of a city model used in airflow simulation. [Figure 12] FIG. 10 is a diagram showing an example of airflow velocity distribution in a target planting area. [Figure 13] FIG. 10 is a diagram showing an example of airflow velocity distribution in a target planting area. [Figure 14] A diagram showing the results of the sunlight and airflow simulation reflected in multiple plots of the planting area. [Figure 15] 1 is a flowchart showing the processing flow of the plant selection system of this embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments of the present invention will be described. Note that the embodiments described below do not unduly limit the content of the present invention described in the claims. Furthermore, not all of the configurations described in the present embodiments are necessarily required constituent elements of the present invention.

[0011] 1. Configuration 1 is a diagram showing an example of functional blocks of a plant selection system according to this embodiment. The plant selection system 1 includes a processing unit 100, an input unit 110, a storage unit 120, and a display unit .

[0012] The input unit 110 is a device for inputting (detecting) input information from a user, and outputs the user's input information (operation information) to the processing unit 100. The functions of the input unit 110 can be realized by input devices such as a keyboard, a mouse, a touch panel, or the like.

[0013] The storage unit 120 stores programs and various data for causing the computer to function as each part of the processing unit 100, and also functions as a work area for the processing unit 100. The functions of the storage unit 120 can be realized by a hard disk, memory (RAM), etc. The storage unit 120 also stores a database that associates plant types with characteristics related to shade tolerance and wind resistance, and data on three-dimensional shape models of the target building and buildings surrounding the target building.

[0014] The display unit 130 displays the image generated by the processing unit 100, and its function can be realized by a display such as an LCD or a touch panel that also functions as the input unit 110.

[0015] The processing unit 100 performs various processes using the storage unit 120 as a work area. The functions of the processing unit 100 can be realized by hardware such as various processors (CPU, DSP, etc.) and programs. The processing unit 100 includes a simulating unit 101 and a selecting unit 102.

[0016] The simulator 101 performs a sunlight simulation and an airflow simulation for the target planting area in the target building using the three-dimensional shape model stored in the memory 120. Note that the three-dimensional shape model used in the sunlight simulation and the three-dimensional shape model used in the airflow simulation may be different.

[0017] The selection unit 102 selects plants to be planted in each of the multiple sections of the planting target area based on the results of the simulation performed by the simulation unit 101 and the database stored in the memory unit 120. For example, based on the results of the sunshine simulation, the selection unit 102 selects plants of a type that is highly shade-tolerant as plants to be planted in sections of the multiple sections with short sunshine hours that can ensure a predetermined illuminance, and based on the results of the airflow simulation, selects plants of a type that is highly wind-resistant as plants to be planted in sections of the multiple sections that are affected by wind. The selection results of plants to be planted in each of the multiple sections are output to the display unit 130.

[0018] 2. Method of this embodiment Next, the method of this embodiment will be described with reference to the drawings.

[0019] Figure 2 shows an example of a database that associates plant types with shade tolerance (illuminance class) and wind resistance (wind environment). In the database DB shown in Figure 2, the shade tolerance of plants is shown using four levels of illuminance class "L-0" to "L-3" (the lower the illuminance class, the higher the shade tolerance), and the wind tolerance of plants is shown using two levels: "affected by wind" (low wind tolerance) and "not affected" (high wind tolerance). The types of plants that belong to each of the eight classifications based on the combination of these four levels of shade tolerance and two levels of wind resistance are specified. Note that some plants belong to multiple classifications.

[0020] Next, we will explain the simulation of sunlight. First, an urban model including a target building and its surrounding buildings (the area required for the sunlight simulation) is prepared, and the urban model is simplified to create the simple urban model CM shown in Figure 3. In this example, the target building TB is a high-rise building. Next, a detailed model of the surrounding planting area of ​​the target building TB (in this example, the lower floors of the high-rise building) is created, and the planting area PA (in this example, the east wall of the first floor) is extracted from the detailed model to create the partial detailed model PM shown in Figure 4. Furthermore, the model other than the planting area PA of the detailed model is simplified to create the simplified model SM shown in Figure 5. The simple urban model CM, the partial detailed model PM, and the simplified model SM are then integrated to create the integrated model IM shown in Figure 6. In the integrated model IM, the planting area PA, which is the target of the simulation calculation, is composed of the partial detailed model PM, the other lower floors are composed of the simplified model SM, and the other target building TB and surrounding buildings are composed of the simplified urban model CM.

[0021] The sun's path throughout the year is set in the virtual three-dimensional space in which this integrated model IM is placed. Figures 7 to 9 show the seasonal positions of the sun SN set in the virtual three-dimensional space. Figure 7 shows the position of the sun SN at 12:00 on the summer solstice, Figure 8 shows the position of the sun SN at 12:00 on the vernal and autumnal equinoxes, and Figure 9 shows the position of the sun SN at 12:00 on the winter solstice. A sunshine simulation is performed based on this solar radiation model and meteorological data (sunshine data such as sunshine hours and sunshine rate) for the area where the target building TB is located (Tokyo in this example), and the illuminance distribution in the target planting area PA is analyzed. The target planting area PA is divided into multiple sections, and the annual sunshine hours that ensure a specified illuminance are determined for each of the multiple sections based on the analysis of the illuminance distribution. In the example shown in Figure 10, for multiple plots in the planting area PA, plots with an annual sunshine duration of 2000 lux or more and less than 1000 hours are color-coded, plots with an annual sunshine duration of 1000 hours or more but less than 1500 hours, and plots with an annual sunshine duration of 1500 hours or more.

[0022] Next, the airflow simulation will be explained. First, an urban model of the target building TB and its surrounding buildings (the range required for airflow simulation) is prepared, as shown in Fig. 11. Using this urban model, an airflow simulation is performed based on meteorological data (seasonal wind direction and wind speed) for the area where the target building TB is located, and the seasonal wind direction and wind speed in the target planting area PA are calculated. The airflow velocity distribution for each node was analyzed. The example shown in Figure 12 shows the airflow velocity distribution around the planting area PA when the prevailing summer wind (south-southeasterly monsoon) is blowing, and the example shown in Figure 13 shows the airflow velocity distribution around the planting area PA when the prevailing winter wind (north-northwesterly monsoon) is blowing.

[0023] Next, we will explain the selection of plants. Figure 14 shows the results of the sunlight simulation and the airflow simulation reflected in multiple sections of the planting area PA. In this example, the multiple sections of the planting area PA are defined by horizontal grids (1 to 126) and vertical rows (1 to 13). Among the multiple sections, sections that are affected by wind (seasonal airflow speeds above a predetermined value) based on the results of the airflow simulation are shaded. In addition, the multiple sections are color-coded in four levels according to the illuminance classification based on the results of the sunlight simulation. Sections with low brightness indicate short annual sunshine hours at which the specified illuminance can be ensured, while sections with high brightness indicate long annual sunshine hours at which the specified illuminance can be ensured. Note that the sections marked with circles are sections where plants are planned to be planted.

[0024] Based on the simulation results of sunlight and airflow for the target planting area PA and the database DB, plants to be planted in each of the multiple sections (sections to be planted) in the target planting area PA are selected. That is, for the sections with low brightness and marked with diagonal lines, plants with high shade tolerance and high wind resistance are selected, and for the sections with low brightness and not marked with diagonal lines, plants with high shade tolerance and low wind resistance are selected. For example, for the sections with the lowest brightness and marked with diagonal lines, plants belonging to the category of "L-0" illuminance class and "no" wind influence in the database DB are selected. Furthermore, for the sections with high brightness and marked with diagonal lines, plants with low shade tolerance and high wind resistance are selected, and for the sections with high brightness and not marked with diagonal lines, plants with low shade tolerance and low wind resistance are selected. For example, for the sections with the highest brightness and marked with diagonal lines, plants belonging to the category of "L-3" illuminance class and "no" wind influence in the database DB are selected. Note that plants with high shade tolerance may be selected for sections with high brightness, and plants with high wind tolerance may be selected for sections without diagonal lines. In other words, plants with low shade tolerance should not be planted in sections with low brightness, and plants with low wind tolerance should not be planted in sections with diagonal lines. Note that multiple types of plants may be selected for one section.

[0025] The planting selection system of this embodiment can appropriately select plants to plant in each of the multiple sections of the planting area PA of a target building TB, taking into consideration the sunlight and air currents in the planting area PA and the shade tolerance and wind resistance characteristics of the plants. This is particularly effective when the planting area is located in a position that is easily affected by the natural environment (sunlight, wind), such as when greening the walls of a high-rise building. Note that the planting area is not limited to the wall surface of a building, but may also be the rooftop or roof of a building.

[0026] 3. Processing Next, an example of the processing of the plant selection system of this embodiment will be described using the flowchart in Fig. 15. It is assumed that the plant database DB, the 3D shape models for sunshine simulation and airflow simulation (3D shape models that model the target building TB and its surrounding buildings), and weather data are stored in the storage unit 120.

[0027] First, the simulator 101 performs a sunshine simulation for the planting target area PA based on the three-dimensional shape model (integrated model IM) for sunshine simulation stored in the memory unit 120, the solar radiation model, and meteorological data (sunshine data) for the area where the target building TB is located, and determines the illuminance distribution in the planting target area PA (the distribution of sunshine hours that can ensure a specified illuminance) (step S10).

[0028] Next, the simulator 101 performs an airflow simulation for the target planting area PA based on the three-dimensional shape model (urban model) for airflow simulation stored in the memory 120 and meteorological data (seasonal wind direction and wind speed) for the area where the target building TB is located, and determines the airflow speed distribution in the target planting area PA (step S11). Note that steps S10 and S11 may be performed in any order, and may be performed in parallel.

[0029] Next, the selection unit 102 selects plants to be planted in each of the multiple sections of the planting area PA based on the simulation results of sunlight and airflow for the planting area PA and the database DB stored in the memory unit 120 (step S12), and outputs the selection results to the display unit 130 (step S13).

[0030] The present invention is not limited to the above-described embodiments, and various modifications are possible. For example, terms cited in the specification or drawings as broadly defined or synonymous terms can be replaced with broadly defined or synonymous terms in other descriptions in the specification or drawings. [Explanation of symbols]

[0031] 1... Plant selection system, 100... Processing unit, 101... Simulation unit, 102... Selection unit, 110... Input unit, 120... Storage unit, 130... Display unit

Claims

1. a storage unit that stores a database in which plant types are associated with characteristics related to shade tolerance and wind resistance; a simulation unit that uses a three-dimensional shape model of a target building and buildings surrounding the target building to perform a simulation of sunlight and airflow for a target planting area in the target building; A plant selection system comprising a selection unit that selects plants to be planted in each of a plurality of sections of the planting target area based on the results of the simulation and the database.

2. In claim 1, The planting selection system is characterized in that the database defines the types of plants that belong to each of a plurality of classifications based on a combination of multiple levels of shade tolerance and multiple levels of wind resistance.

3. In claim 1, The selection unit A plant selection system characterized by selecting, based on the results of the sunlight simulation, plants of a type that is highly shade-tolerant as plants to be planted in sections of the plurality of sections with short sunshine hours that can ensure a specified illuminance, and selecting, based on the results of the air current simulation, plants of a type that is highly wind-resistant as plants to be planted in sections of the plurality of sections that are affected by wind.

4. a storage step of storing a database in a storage unit in which the type of plant is associated with characteristics related to shade tolerance and wind resistance; a simulating step of simulating sunlight and airflow in a target planting area of ​​the target building using a three-dimensional shape model of the target building and buildings surrounding the target building; A plant selection method comprising a selection step of selecting plants to be planted in each of a plurality of sections of the planting target area based on the results of the simulation and the database.

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