CN116415330A - Garden landscape design method based on 3D modeling - Google Patents
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Abstract
The invention relates to the technical field of garden landscape design, in particular to a garden landscape design method based on 3D modeling, which comprises the steps of garden data acquisition, terrain modeling, virtual scene generation, required depth optimization and secondary intelligent optimization, wherein scene shooting is carried out at a position needing to be designed by an unmanned plane, appearance information data is obtained, and an official database or field data acquisition is carried out; according to the invention, the steps of garden data acquisition, terrain modeling, virtual scene generation, required depth optimization and secondary intelligent optimization are adopted to carry out rapid design, a computer is adopted as an aid to firstly generate the primary model, a large amount of time for manually building the model is saved, and then the primary model is manually modified according to garden terrain data, regional climate data, soil data, surrounding roads and other building data, so that the designed final garden model can meet the local climate and road requirements, the intelligent degree is high, the design efficiency is high, and the design effect is good.
Description
Technical Field
The invention relates to a design method, in particular to a 3D modeling-based garden landscape design method, and belongs to the technical field of garden landscape design.
Background
The landscape planning design is to create a living place with beautiful environment and life recreation through various garden art and engineering technical means, terrain transformation, vegetation planting, building construction, garden road arrangement and other approaches in a certain region range. Through the design of the garden landscape, the comprehensive indexes of daily use and aesthetic appreciation of the surrounding environment of the garden can be analyzed and evaluated in advance, and the sustainable development of ecology is maintained, so that the landscape is provided with a vector. Landscape elements can be generally divided into two main categories: one is a soft landscape and the other is a hard landscape. Soft landscapes generally refer to substances in nature, including vegetation, water, sky, wind and rain, and the like; hard landscapes generally refer to artificial substances, including small items such as buildings, structures, floor coverings, roads, stools in gardens, batting, sculptures, fitness equipment, and the like. Afforestation vegetation, buildings and roads are basic components of the landscape architecture. Afforestation vegetation has the effect of beautifying the environment and purifying air. The complexity of the landscape elements determines the complexity of landscape planning and design, and a planning designer needs to integrally consider the influence of multiple elements on the landscape. The traditional landscape planning and designing method firstly carries out two-dimensional plane design, and then adopts a three-dimensional rendering technology to generate a landscape effect map.
According to the landscape architecture design method provided by the Chinese invention patent with the application number of CN202210112227.X, when a designer inputs the space information of the target building position of the landscape architecture, the target space can be automatically planned, dan Yi placement positions in the landscape architecture, planting positions suitable for planting and green planting in the landscape architecture are recommended to the designer, building positions of artificial ponds in the recommended landscape architecture and road planning in the recommended landscape architecture are recommended to the designer, the designer can refer to the design positions before deep design, the design efficiency of the designer and the scientificity of the design can be improved to a certain extent, the practical value is high, the design method provided by the comparison file still has the advantage of simple two-dimensional design, the intelligent degree is insufficient in the design process, the designer is required to perform generation of a large number of models, the operation is time-consuming and labor-consuming, the finally designed product model is also not good enough, the geographic environments and the climate environments of different areas are different, some designers are designed only in the landscape type and the landscape architecture, the final garden architecture is likely to adapt to the soil for the sunshade and the peripheral vegetation, or the survival rate is not high due to the influence of the survival factors.
The present invention has been made in view of this.
Disclosure of Invention
The invention aims to provide a 3D modeling-based garden landscape design method, which is characterized in that steps of garden data acquisition, terrain modeling, virtual scene generation, required depth optimization and secondary intelligent optimization are adopted to conduct rapid design, a computer is adopted as an aid to generate an initial model, a large amount of time for manually building the model is saved, and the initial model is modified manually, so that the modification is carried out according to garden terrain data, regional climate data, soil data, surrounding roads and other building data, the designed final garden model is ensured to meet local climate and road requirements, the intelligent degree is high, the design efficiency is high, and the design effect is good.
The invention realizes the aim through the following technical proposal, a garden landscape design method based on 3D modeling, which comprises the following steps,
s1, garden data acquisition, namely scene shooting is carried out at a position where design is required through an unmanned aerial vehicle, appearance information data is acquired, other related data are acquired through official databases or field data acquisition, specific acquisition information of garden data acquisition comprises garden topography data, regional climate data, soil data, surrounding roads and other building data, and in subsequent model improvement, garden vegetation and drainage facilities in underground engineering can be better designed by combining data such as local environment and soil, so that the problem that vegetation planted in gardens is not suitable for environmental death or a drainage system is not good is avoided;
s2, terrain modeling, namely generating a three-dimensional model of a designed terrain and a scene within a range of 1 km around in three-dimensional modeling software according to the terrain related data information acquired in the S1, wherein on one hand, the terrain of a garden design position is generated for basic garden design, and the increase of the scene within the range of 1 km around enables gardens to be better adjusted according to road and surrounding building conditions when inlets and outlets or vegetation are designed to be distributed, so that the inconvenience of inlets and outlets or the shielding of partial vegetation by buildings is avoided;
s3, virtual scene generation, namely analyzing the modeled address through a computer, combining big data garden data, aiming at the type of the initially selected garden, analyzing the data of the three-dimensional model produced in the S2 by the computer aiming at the manually selected garden type, and automatically generating a virtual garden model in the initial form, namely an initial model;
s4, optimizing the required depth, and sequentially performing vegetation position adjustment, vegetation type adjustment, vegetation distribution adjustment, road data adjustment, pond data adjustment, infrastructure data adjustment and underground engineering data adjustment through the primary model generated in the manual auditing step S3 to form a secondary treatment model;
s5, performing secondary intelligent optimization, introducing the related data acquired in the step S1 into a computer aiming at the secondary processing model generated in the step S4, combining soil data, regional climate data, surrounding roads and other building data with the secondary processing model through the computer to generate a final model, simultaneously retaining the secondary processing model, generating a modified comparison table of the final model and the secondary processing model, and determining the final model after manual verification or re-entering the step S4 for reprocessing until the final model is determined.
The method has the advantages that the steps of garden data acquisition, terrain modeling, virtual scene generation, demand depth optimization and secondary intelligent optimization are used for rapid design, a computer is used as an aid, a primary model is generated firstly, a large amount of time for manually building the model is saved, the primary model is modified manually, the modification is performed according to garden terrain data, regional climate data, soil data, surrounding roads and other building data, the fact that the designed final garden model can meet local climate and road requirements is guaranteed, the intelligent degree is high, the design efficiency is high, and the design effect is good.
Further, in step S1, specific collected information of the garden data includes garden topography data, regional climate data, soil data, surrounding roads and other building data.
Further, in step S3, the type of circle selection is specifically a european classical landscape, a british rural garden landscape, a chinese classical landscape or a modern landscape.
Further, in step S3, the generation sequence of the primary model is sequentially from underground engineering generation to ground surface road generation to street lamp, pavilion, corridor frame, welcome wall generation to rockery, pond generation to vegetation generation.
Further, in step S4, the specific mode of vegetation position adjustment is manually adjusted through the interactive operation of the mouse and the keyboard, the adjustment standard is adjusted according to manual self-analysis, the specific mode of vegetation type adjustment is manually self-adjusted according to the topography, the soil data and the design requirements, and the specific mode of vegetation distribution adjustment is manually self-adjusted according to the topography, the soil data and the design requirements.
Further, in step S4, the specific way of road data adjustment is to manually adjust according to the garden entrance, and the specific way of pond data adjustment is to manually adjust through the local climate environment, the water supply source design entrance and the depth area.
Further, in step S4, the specific manner of adjusting the infrastructure data is to manually adjust the infrastructure data by local passenger flow, and the specific manner of adjusting the underground engineering data is to manually adjust the infrastructure data according to the soil data.
Further, in step S5, the comparison data in the modification comparison tables of the final model and the secondary processing model specifically include the before-after-modification comparison map, the modification area, the modification depth, the modification position, and the modification type.
The invention has the technical effects and advantages that: according to the invention, the steps of garden data acquisition, terrain modeling, virtual scene generation, required depth optimization and secondary intelligent optimization are adopted to carry out rapid design, a computer is adopted as an aid to firstly generate the primary model, a large amount of time for manually building the model is saved, and then the primary model is manually modified according to garden terrain data, regional climate data, soil data, surrounding roads and other building data, so that the designed final garden model can meet the local climate and road requirements, the intelligent degree is high, the design efficiency is high, and the design effect is good.
Drawings
Fig. 1 is a schematic structural view of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Please refer to fig. 1.
Example 1
A garden landscape design method based on 3D modeling comprises the following steps.
S1, garden data acquisition, scene shooting is carried out at a position where design is needed through an unmanned aerial vehicle, appearance information data is acquired, other relevant data are acquired through an official database or field data acquisition, specific acquisition information of garden data acquisition comprises garden topography data, regional climate data, soil data, surrounding roads and other building data, and according to the acquired non-appearance data, in subsequent model improvement, better design can be carried out on garden vegetation and drainage facilities in underground engineering by combining local environment, soil and other data, and the problem that vegetation planted in gardens is not suitable for environmental death or a drainage system is not good is avoided.
S2, terrain modeling, wherein according to the terrain related data information acquired in the S1, a three-dimensional model of a designed terrain and a scene within a range of 1 km around is generated in three-dimensional modeling software, on one hand, the terrain of a garden design position is generated for basic garden design, and the increase of the scene within the range of 1 km around enables gardens to be better adjusted according to road and surrounding building conditions when inlets and outlets or vegetation are designed to be distributed, so that the inconvenience of inlets and outlets or the inconvenience of partial vegetation is avoided, or the situation that part of vegetation is blocked by buildings is avoided.
S3, virtual scene generation, namely analyzing the modeled address through a computer, combining big data garden data, aiming at the type of the initially selected garden, analyzing the data of the three-dimensional model produced in the S2 aiming at the manually selected garden type by the computer, and automatically generating a virtual garden model in the initial form, namely an initial model.
S4, the required depth is optimized, and vegetation position adjustment, vegetation type adjustment, vegetation distribution adjustment, road data adjustment, pond data adjustment, infrastructure data adjustment and underground engineering data adjustment are sequentially carried out through the primary model generated in the manual auditing step S3 to form a secondary treatment model.
S5, performing secondary intelligent optimization, introducing the related data acquired in the step S1 into a computer aiming at the secondary processing model generated in the step S4, combining soil data, regional climate data, surrounding roads and other building data with the secondary processing model through the computer to generate a final model, simultaneously retaining the secondary processing model, generating a modified comparison table of the final model and the secondary processing model, and determining the final model after manual verification or re-entering the step S4 for reprocessing until the final model is determined.
The method has the advantages that the steps of garden data acquisition, terrain modeling, virtual scene generation, demand depth optimization and secondary intelligent optimization are used for rapid design, a computer is used as an aid, a primary model is generated firstly, a large amount of time for manually building the model is saved, the primary model is modified manually, the modification is performed according to garden terrain data, regional climate data, soil data, surrounding roads and other building data, the fact that the designed final garden model can meet local climate and road requirements is guaranteed, the intelligent degree is high, the design efficiency is high, and the design effect is good.
In step S3, the type of circle selection is specifically european classical landscape, european classical landscape form, british rural garden landscape, chinese classical landscape or modern landscape.
In step S3, the generation sequence of the initial model is sequentially underground engineering generation-ground surface road generation-street lamp, pavilion, corridor, welcome wall generation-rockery, pond generation-vegetation generation.
Example 2
A3D modeling-based landscape design method comprises the following steps,
s1, garden data acquisition, scene shooting is carried out at a position where design is needed through an unmanned aerial vehicle, appearance information data is acquired, other relevant data are acquired through an official database or field data acquisition, specific acquisition information of garden data acquisition comprises garden topography data, regional climate data, soil data, surrounding roads and other building data, and according to the acquired non-appearance data, in subsequent model improvement, better design can be carried out on garden vegetation and drainage facilities in underground engineering by combining local environment, soil and other data, and the problem that vegetation planted in gardens is not suitable for environmental death or a drainage system is not good is avoided.
S2, terrain modeling, wherein according to the terrain related data information acquired in the S1, a three-dimensional model of a designed terrain and a scene within a range of 1 km around is generated in three-dimensional modeling software, on one hand, the terrain of a garden design position is generated for basic garden design, and the increase of the scene within the range of 1 km around enables gardens to be better adjusted according to road and surrounding building conditions when inlets and outlets or vegetation are designed to be distributed, so that the inconvenience of inlets and outlets or the inconvenience of partial vegetation is avoided, or the situation that part of vegetation is blocked by buildings is avoided.
S3, virtual scene generation, namely analyzing the modeled address through a computer, combining big data garden data, aiming at the type of the initially selected garden, analyzing the data of the three-dimensional model produced in the S2 aiming at the manually selected garden type by the computer, and automatically generating a virtual garden model in the initial form, namely an initial model.
S4, the required depth is optimized, and vegetation position adjustment, vegetation type adjustment, vegetation distribution adjustment, road data adjustment, pond data adjustment, infrastructure data adjustment and underground engineering data adjustment are sequentially carried out through the primary model generated in the manual auditing step S3 to form a secondary treatment model.
S5, performing secondary intelligent optimization, introducing the related data acquired in the step S1 into a computer aiming at the secondary processing model generated in the step S4, combining soil data, regional climate data, surrounding roads and other building data with the secondary processing model through the computer to generate a final model, simultaneously retaining the secondary processing model, generating a modified comparison table of the final model and the secondary processing model, and determining the final model after manual verification or re-entering the step S4 for reprocessing until the final model is determined.
The method has the advantages that the steps of garden data acquisition, terrain modeling, virtual scene generation, demand depth optimization and secondary intelligent optimization are used for rapid design, a computer is used as an aid, a primary model is generated firstly, a large amount of time for manually building the model is saved, the primary model is modified manually, the modification is performed according to garden terrain data, regional climate data, soil data, surrounding roads and other building data, the fact that the designed final garden model can meet local climate and road requirements is guaranteed, the intelligent degree is high, the design efficiency is high, and the design effect is good.
In the embodiment, in step S4, the vegetation position is adjusted manually through the interactive operation of the mouse and the keyboard, the adjustment standard is adjusted according to manual self-analysis, the vegetation type is adjusted according to the topography, the soil data and the design requirements, the vegetation distribution is adjusted according to the topography, the soil data and the design requirements, the road data is adjusted according to the garden access, the pond data is adjusted manually through the local climate environment, the water supply source design access and the depth area, the infrastructure data is adjusted manually through the local passenger flow, and the underground engineering data is adjusted according to the soil data.
Example 3
S1, garden data acquisition, scene shooting is carried out at a position where design is needed through an unmanned aerial vehicle, appearance information data is acquired, other relevant data are acquired through an official database or field data acquisition, specific acquisition information of garden data acquisition comprises garden topography data, regional climate data, soil data, surrounding roads and other building data, and according to the acquired non-appearance data, in subsequent model improvement, better design can be carried out on garden vegetation and drainage facilities in underground engineering by combining local environment, soil and other data, and the problem that vegetation planted in gardens is not suitable for environmental death or a drainage system is not good is avoided.
S2, terrain modeling, wherein according to the terrain related data information acquired in the S1, a three-dimensional model of a designed terrain and a scene within a range of 1 km around is generated in three-dimensional modeling software, on one hand, the terrain of a garden design position is generated for basic garden design, and the increase of the scene within the range of 1 km around enables gardens to be better adjusted according to road and surrounding building conditions when inlets and outlets or vegetation are designed to be distributed, so that the inconvenience of inlets and outlets or the inconvenience of partial vegetation is avoided, or the situation that part of vegetation is blocked by buildings is avoided.
S3, virtual scene generation, namely analyzing the modeled address through a computer, combining big data garden data, aiming at the type of the initially selected garden, analyzing the data of the three-dimensional model produced in the S2 aiming at the manually selected garden type by the computer, and automatically generating a virtual garden model in the initial form, namely an initial model.
S4, the required depth is optimized, and vegetation position adjustment, vegetation type adjustment, vegetation distribution adjustment, road data adjustment, pond data adjustment, infrastructure data adjustment and underground engineering data adjustment are sequentially carried out through the primary model generated in the manual auditing step S3 to form a secondary treatment model.
S5, performing secondary intelligent optimization, introducing the related data acquired in the step S1 into a computer aiming at the secondary processing model generated in the step S4, combining soil data, regional climate data, surrounding roads and other building data with the secondary processing model through the computer to generate a final model, simultaneously retaining the secondary processing model, generating a modified comparison table of the final model and the secondary processing model, and determining the final model after manual verification or re-entering the step S4 for reprocessing until the final model is determined.
The method has the advantages that the steps of garden data acquisition, terrain modeling, virtual scene generation, demand depth optimization and secondary intelligent optimization are used for rapid design, a computer is used as an aid, a primary model is generated firstly, a large amount of time for manually building the model is saved, the primary model is modified manually, the modification is performed according to garden terrain data, regional climate data, soil data, surrounding roads and other building data, the fact that the designed final garden model can meet local climate and road requirements is guaranteed, the intelligent degree is high, the design efficiency is high, and the design effect is good.
In this embodiment, step S5 is implemented on the basis of embodiment 1, and in step S5, the comparison data in the modification comparison tables of the final model and the secondary processing model specifically include the comparison map before and after modification, the modification area, the modification depth, the modification position and the modification type, and the specific tables are as follows, and the modification modes that do not exist are marked as unobtainable.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (8)
1. A garden landscape design method based on 3D modeling is characterized in that: the method comprises the following steps:
s1, garden data acquisition, namely, shooting a scene at a position to be designed through an unmanned aerial vehicle, acquiring appearance information data, and acquiring other related data through official databases or field data acquisition;
s2, terrain modeling, namely generating a three-dimensional model of a scene within a range of 1 km around and a designed terrain in three-dimensional modeling software according to the terrain related data information acquired in the S1;
s3, virtual scene generation, namely analyzing the modeled address through a computer, combining big data garden data, aiming at the type of the initially selected garden, analyzing the data of the three-dimensional model produced in the S2 by the computer aiming at the manually selected garden type, and automatically generating a virtual garden model in the initial form, namely an initial model;
s4, optimizing the required depth, and sequentially performing vegetation position adjustment, vegetation type adjustment, vegetation distribution adjustment, road data adjustment, pond data adjustment, infrastructure data adjustment and underground engineering data adjustment through the primary model generated in the manual auditing step S3 to form a secondary treatment model;
s5, performing secondary intelligent optimization, introducing the related data acquired in the step S1 into a computer aiming at the secondary processing model generated in the step S4, combining soil data, regional climate data, surrounding roads and other building data with the secondary processing model through the computer to generate a final model, simultaneously retaining the secondary processing model, generating a modified comparison table of the final model and the secondary processing model, and determining the final model after manual verification or re-entering the step S4 for reprocessing until the final model is determined.
2. The 3D modeling-based landscape architecture design method according to claim 1, wherein: in step S1, specific collection information of the garden data collection includes garden topography data, regional climate data, soil data, surrounding roads and other building data.
3. The 3D modeling-based landscape architecture design method according to claim 1, wherein: in step S3, the type of circle selection is specifically european classical landscape, british rural garden landscape, chinese classical landscape or modern landscape.
4. The 3D modeling-based landscape architecture design method according to claim 1, wherein: in step S3, the generation sequence of the primary model sequentially comprises underground engineering generation, ground surface road generation, street lamps, pavilions, corridor frames, welcome wall generation, rockery, pond generation and vegetation generation.
5. The 3D modeling-based landscape architecture design method according to claim 1, wherein: in step S4, the vegetation position is adjusted manually through the interactive operation of the mouse and the keyboard, the adjustment standard is adjusted according to manual self-analysis, the vegetation type is adjusted manually and automatically according to the topography, the soil data and the design requirements, and the vegetation distribution is adjusted manually and automatically according to the topography, the soil data and the design requirements.
6. The 3D modeling-based landscape architecture design method according to claim 1, wherein: in step S4, the specific way of road data adjustment is according to manual adjustment of garden entrances and exits, and the specific way of pond data adjustment is through manual adjustment of local climate environment, water supply source design entrances and exits and depth areas.
7. The 3D modeling-based landscape architecture design method according to claim 1, wherein: in step S4, the specific manner of infrastructure data adjustment is manually adjusted by local passenger flow, and the specific manner of underground engineering data adjustment is manually adjusted according to soil data.
8. The 3D modeling-based landscape architecture design method according to claim 1, wherein: in step S5, the comparison data in the modification comparison tables of the final model and the secondary processing model specifically include the before-after-modification comparison map, the modification area, the modification depth, the modification position, and the modification type.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116702299A (en) * | 2023-08-02 | 2023-09-05 | 山东建筑大学 | Garden design method based on garden simulation |
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| CN116702299A (en) * | 2023-08-02 | 2023-09-05 | 山东建筑大学 | Garden design method based on garden simulation |
| CN116702299B (en) * | 2023-08-02 | 2023-10-17 | 山东建筑大学 | Garden design method based on garden simulation |
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