KR-20260067800-A - AI-based garden design system with company recommendation function

KR20260067800AKR 20260067800 AKR20260067800 AKR 20260067800AKR-20260067800-A

Abstract

The present invention relates to an AI-based garden design system having a company recommendation function that can design a garden by considering the type, color, and quantity of plants selected by the client, along with sunlight information, climate information, and feature information based on the location information of the construction target area requested by the client, calculate an estimate for the construction costs associated with the garden design, and recommend companies required for the garden construction. The present invention is for designing a customized garden for a construction target area requested by a client, and comprises: a sunlight information collection unit that collects sunlight information based on shadow changes over a day in the construction target area; a climate information collection unit that collects climate information based on location information regarding the construction target area; a feature information collection unit that collects feature information existing in the construction target area; a construction possible area determination unit that sets a construction possible area within the construction target area where planting can be installed based on the sunlight information and the feature information; a planting recommendation unit that recommends the type and quantity of planting that can be installed in the construction possible area by considering the climate information and the sunlight information among a plurality of types of planting suitable for garden installation; a planting selection unit that selects the type and quantity of planting to be installed in the construction possible area according to the client's input from among the planting recommended by the planting recommendation unit; and a virtual construction image generation unit that generates a virtual construction image of the construction target area in which the planting selected by the planting selection unit is installed in the construction possible area. The technical gist of the AI-based garden design system having a company recommendation function is that it comprises: an estimate calculation unit that estimates and provides the construction cost required to install plants in the construction-possible area according to the type and quantity of plants selected by the plant selection unit; and a company recommendation unit that recommends a company required when installing a garden in the construction-possible area using plants selected by the plant selection unit.

Inventors

강희원
권지민

Assignees

주식회사 사람과초록

Dates

Publication Date: 20260513
Application Date: 20241106

Claims (7)

It is intended to design a custom garden for the construction site commissioned by the client, A sunlight information collection unit that collects sunlight information based on shadow changes over a day in the above-mentioned construction target area; A climate information collection unit that collects climate information based on location information regarding the above-mentioned construction target area; A feature information collection unit that collects feature information existing in the above-mentioned construction target area; A constructionable zone determination unit that sets a constructionable zone where planting can be carried out among the construction target area based on the above sunlight information and above feature information; A planting recommendation unit that recommends the type and quantity of planting suitable for construction in the construction-possible area, taking into account the climate information and sunlight information among multiple types of planting suitable for construction in a garden; A plant selection unit that selects the type and quantity of plants to be constructed in the construction-possible area according to the client's input from among the plants recommended by the plant recommendation unit; A virtual construction image generation unit that generates a virtual construction image of the construction target area in which the planting selected by the planting selection unit is constructed in the construction possible area; An estimate calculation unit that estimates and provides the construction cost required to install plants in the construction-possible area according to the type and quantity of plants selected by the plant selection unit; and An AI-based garden design system having a company recommendation function, characterized by comprising: a company recommendation unit that recommends a company needed when constructing a garden in the construction-possible area using the planting selected by the planting selection unit.
In paragraph 1, The above company recommendation department A design firm recommendation unit that recommends a design firm to design a garden according to the type and quantity of plants selected by the above-mentioned plant selection unit; A material supplier recommendation unit that recommends a material supplier supplying the above-mentioned planting material and auxiliary materials required for the construction of the above-mentioned planting material; and An AI-based garden design system having a company recommendation function, characterized by comprising: a construction company recommendation unit that recommends a construction company possessing the manpower and construction equipment necessary for the construction of the above-mentioned planting materials and above-mentioned auxiliary materials.
In paragraph 2, The above estimate calculation unit A unit price calculation unit by type that calculates the total unit price by type of the above-mentioned food materials according to the unit price by type and the quantity by type of the above-mentioned food materials; A material cost calculation unit that calculates material costs by adding up all the combined unit prices by type of the above-mentioned planting materials and then adding up the costs for auxiliary materials required for the construction of the planting materials; A construction cost calculation unit that calculates the construction cost based on the number of personnel, working hours, and construction equipment required to construct the above-mentioned planting according to the type and quantity of the above-mentioned planting; and An AI-based garden design system having an estimate calculation function comprising: a construction cost estimation unit that estimates and provides construction costs based on the above material costs and above construction costs.
In paragraph 3, The above sunlight information collection unit A surrounding terrain feature search unit that searches for surrounding terrain features existing around the above-mentioned construction target area and causing shadows on the above-mentioned construction target area; A surrounding terrain feature height information collection unit that collects height information for the above-mentioned surrounding terrain features; A first unit zone division unit that divides the above construction target area into a plurality of first unit zones; A sunlight simulation unit that performs a sunlight simulation to determine whether shadows are formed, the time, and the area of shadows during the day based on location information of the construction target area and height information of the surrounding topographic features; and An AI-based garden design system with a company recommendation function, characterized by comprising: a sunlight information output unit that calculates individual sunlight information for each of the first unit zones based on whether shadows are formed, time, and area during the day according to the sunlight simulation, and outputs the average value of the calculated individual sunlight information as sunlight information.
In paragraph 4, The above-mentioned property information collection department An image acquisition unit for acquiring a planar image of the above-mentioned construction target area; A second unit zone division unit that divides the above construction target area into a plurality of second unit zones on the above planar image; and An AI-based garden design system with a company recommendation function, characterized by comprising: a unit area feature information collection unit that collects feature information for each second unit area by identifying objects identifiable as features appearing on the pixels of the above-mentioned planar image through an object analysis technique using image processing.
In paragraph 5, The above constructionable area determination unit A unit area overlapping section that overlaps the first unit area and the second unit area at corresponding locations; and An AI-based garden design system with a company recommendation function, characterized by comprising: a construction-possible area determination unit that determines, on a zone basis, the construction-possible area where planting can be constructed within the construction target area based on the sunlight information of the first unit area superimposed by the unit area superimposition unit and the feature information of the second unit area.
In paragraph 6, The above-mentioned planting recommendation section A planting information storage unit that stores growth information for multiple types of planting materials suitable for garden construction; A growth information matching unit that matches the type of plant material whose growth information corresponds to the climate information among the plurality of types of plant materials stored in the plant material information storage unit; A recommended planting determination unit that determines the type of planting matched by the growth information matching unit as a recommended planting unit; and An AI-based garden design system with a company recommendation function, characterized by comprising: a quantity determination unit that determines the quantity of the recommended planting determined by the recommended planting determination unit to correspond to the area of the construction-possible zone.

Description

AI-based garden design system with company recommendation function The present invention relates to an AI-based garden design system having a company recommendation function that can design a garden by considering the type, color, and quantity of plants selected by the client, along with sunlight information, climate information, and feature information based on the location information of the construction target area requested by the client, calculate an estimate for the construction costs associated with the garden design, and recommend companies required for the garden construction. Generally, gardens (landscapes) are created in the yards of multi-family houses or country houses as needed or in accordance with building codes to achieve purposes such as environmental improvement, visual enhancement, improvement of quality of life, health promotion, and environmental protection. In particular, as the number of country houses increases rapidly due to the rapid rise in the number of people seeking an eco-friendly lifestyle or a safe and comfortable life with pets, interest in gardens is growing significantly. Meanwhile, it is desirable for a garden to be designed so that the most suitable types of plants are selected and planted in the most suitable locations, taking into account the amount of sunlight, climate, and topography of the construction site to be built, in order to improve life expectancy, reduce costs, and facilitate maintenance, while also meeting the client's requirements. However, due to the lack of proper technology for designing gardens while considering the aforementioned factors, the reality is that only standardized gardens can be designed and constructed. Furthermore, there are limitations in accurately predicting construction costs, making it difficult to determine if the costs are reasonable. Additionally, it is difficult to find construction companies that offer reasonable non-construction costs. Therefore, in order to break away from standardized structures and construct gardens with unique characteristics at a reasonable cost, it is necessary to research and develop technology that can conveniently and effectively design a garden that meets the client's requirements while considering the characteristics of the construction site, provide an estimate for construction costs, and recommend contractors needed for garden construction. FIG. 1 is a configuration diagram illustrating an AI-based garden design system with a company recommendation function according to a preferred embodiment of the present invention. FIG. 2 is an example diagram illustrating the state in which a construction target area is divided into a plurality of first unit zones by the sunlight collection unit of an AI-based garden design system having a company recommendation function according to a preferred embodiment of the present invention. FIG. 3 is an example diagram illustrating a state in which a construction target area is divided into a plurality of second unit zones by a construction-possible zone determination unit of an AI-based garden design system having a company recommendation function according to a preferred embodiment of the present invention. FIG. 4 is an example diagram illustrating a constructionable area determined by the constructionable area determination unit of an AI-based garden design system having a company recommendation function according to a preferred embodiment of the present invention. The present invention relates to an AI-based garden design system having a company recommendation function that can conveniently design a garden provided for purposes such as environmental improvement, visual enhancement, improvement of quality of life, health promotion, and environmental protection in the yard of a multi-family house or country house, or in accordance with building codes. In particular, the AI-based garden design system with a company recommendation function according to the present invention is characterized by being able to design a garden by considering sunlight information, climate information, and geographical information based on the location information of the construction target area requested by the client, as well as the type, color, and quantity of plants selected by the client, calculate an estimate for the construction costs associated with the garden design, and recommend companies necessary for the garden construction. Hereinafter, an AI-based garden design system with a company recommendation function according to a preferred embodiment of the present invention will be described in detail with reference to the attached drawings. An AI-based garden design system with a company recommendation function according to a preferred embodiment of the present invention is designed to automatically design a customized garden for a construction target area (10) requested by a client, and as shown in FIG. 1, it may be composed of a sunlight information collection unit (200), a clim