A garden landscape simulation design method

Abstract

The present invention discloses a garden landscape simulation design method, which relates to the technical field of intelligent simulation and includes the following steps: calculating the average distance between adjacent color blocks in the second color block class; calculating the landscape fragmentation based on the third area and the first area; setting the landscape vulnerability to a first value; setting the landscape interference to a second value; constructing a landscape evaluation model; and looping through steps S1 to S5 to select the optimal areas of different color blocks in the first color block class and the distribution positions of different color blocks in the first color block class. The present invention converts a top view of the garden into color blocks of multiple colors, making the analysis more efficient. It extracts multiple parameters from the top view, enhances the correlation between the parameters, and makes the evaluation indicators more holistic. Based on the multiple new parameters, a landscape evaluation model is established, improving the comprehensiveness of the model establishment, selecting the optimal color block area and color block distribution position, and increasing the accuracy and scientificity of the design.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent simulation, and in particular to a garden landscape simulation design method. Background Art

[0002] In recent years, the urbanization process has continued to accelerate, the urban population has increased rapidly, and the scale of urban construction has expanded. There is a great demand for the leisure and entertainment, air quality improvement, water purification and increased urban landscape value provided by landscaping projects.

[0003] Currently, a Chinese invention patent with publication number CN 117994443 B discloses a garden design method based on landscape garden simulation. The method obtains an adaptive fuzzy window strength by simulating visual images and three-dimensional models of green plant scenery, obtains the green view rate of green plant information coverage based on the difference between the smoothed visual image of the green plant and the visual image before simulation, and then obtains the overall landscape garden green view rate, thereby improving the greening quality of the garden design. However, the related technology does not simulate the garden as a whole, lacks comprehensiveness of the simulation, does not calculate the correlation between different parameters to obtain the optimal solution of the design, and lacks accuracy and integrity of the simulation. Summary of the Invention

[0004] The technical problem solved by the present invention is that the related art does not simulate the garden as a whole, lacks comprehensiveness of the simulation, does not calculate the relationship between different parameters to obtain the optimal solution of the design, and lacks accuracy and integrity of the simulation.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: a garden landscape simulation design method, comprising the following steps:

[0006] Step S1, obtaining a first area of a garden and a first top view of the garden, preprocessing the first top view, and separating different colors in the preprocessed first top view to obtain different color blocks;

[0007] Step S2: remove black and gray blocks, count the number of remaining blocks, and classify and number the remaining blocks of the same color;

[0008] Step S3, obtaining natural data of the area to which the garden belongs, and inputting the first color block class, the areas of different color blocks in the first color block class, the distribution positions of different color blocks in the first color block class, and the natural data into a simulation model for simulation;

[0009] Step S4, obtaining a simulated second top view, obtaining a second color block class, obtaining an area of the second color block class (recorded as a third area), calculating an average distance between adjacent color blocks in the second color block class, calculating landscape separation based on the average distance and the third area, and calculating landscape fragmentation based on the third area and the first area;

[0010] In step S5, the landscape vulnerability is set to a first value, the landscape interference is set to a second value, a landscape evaluation model is constructed, and steps S1 to S5 are repeated to select the optimal areas of different color blocks in the first color block class and the optimal distribution positions of different color blocks in the first color block class.

[0011] As a preferred embodiment of the garden landscape simulation design method of the present invention, step S1 includes the following sub-steps:

[0012] Step S11, obtaining a first area of the garden, and obtaining a first overhead view of the garden by using a drone;

[0013] Step S12: performing denoising and filtering on the first top view, and separating different colors in the first top view after the denoising and filtering to obtain different color blocks.

[0014] The step S2 includes the following sub-steps:

[0015] Step S21, obtaining different color blocks, and removing black blocks and gray blocks from the different color blocks;

[0016] Step S22: Count the number of remaining color blocks, classify the remaining color blocks of the same color, generate a first color block class, and number the first color block class as X. i , number the different color blocks in the first color block class as X ij .

[0017] As a preferred embodiment of the garden landscape simulation design method of the present invention, step S3 includes the following sub-steps:

[0018] Step S31, obtaining natural data of the area to which the garden belongs, the natural data including precipitation data, sunshine azimuth data, sunshine altitude data, wind speed data, wind pressure data, and temperature data, obtaining a first color block class, the areas of different color blocks in the first color block class, and the distribution positions of different color blocks in the first color block class;

[0019] Step S32 , setting simulation time, and inputting the first color block class, the areas of different color blocks in the first color block class, the distribution positions of different color blocks in the first color block class, and natural data into the simulation model for simulation.

[0020] As a preferred embodiment of the garden landscape simulation design method of the present invention, step S4 includes the following sub-steps:

[0021] Step S41, obtaining the simulated second top view, the second color block type in the second top view, and the area of the second color block type in the second top view through the simulation model, and recording the area of the second color block type in the second top view as a third area;

[0022] Step S42 , calculating an average distance between adjacent color blocks in the second color block class, calculating landscape separation based on the average distance and the third area, and calculating landscape fragmentation based on the third area and the first area.

[0023] As a preferred embodiment of the garden landscape simulation design method of the present invention, the calculation logic of the average distance is as follows: obtaining the distance between the centers of two adjacent color blocks, and calculating the average value of the distance between the centers of the two adjacent color blocks, and recording the average value of the distance between the centers of the two adjacent color blocks as the average distance;

[0024] The number of color blocks in different color block categories in the second bird's-eye view is counted, the average distance, the first area, the second area, the third area, and the number of color blocks are normalized, and the landscape separation and landscape fragmentation are calculated.

[0025] As a preferred solution of the garden landscape simulation design method described in the present invention, the calculation expression of the landscape separation degree is:

[0026] ;

[0027] in, For the The landscape separation of color blocks, For the The normalized average distance value of the color blocks in the color block class, For the The value of the normalized third area of each color block class;

[0028] The calculation expression of the landscape fragmentation is:

[0029] ;

[0030] in, For the The fragmentation of the landscape of color blocks, After normalization, The value of the number of color blocks in the color block class, is the value of the first area after normalization.

[0031] As a preferred embodiment of the garden landscape simulation design method of the present invention, step S5 includes the following sub-steps:

[0032] Step S51: construct a landscape evaluation model. The input of the landscape evaluation model is the normalized third area, the normalized first area, the normalized number of color blocks in the color block class, the landscape separation and the landscape fragmentation, and the output is the evaluation value.

[0033] Step S52 , looping steps S1 to S5 , selecting the optimal areas of different color blocks in the first color block class and the optimal distribution positions of different color blocks in the first color block class.

[0034] As a preferred solution of the garden landscape simulation design method described in the present invention, the distribution positions are obtained by constructing a coordinate system and expressed as two-dimensional plane coordinates.

[0035] The logic for selecting the areas of different color blocks in the optimal first color block class is:

[0036] Randomly select the areas of two different color blocks in the first color block class, compare the corresponding evaluation values, retain the area of the different color blocks in the first color block class with the larger value, traverse the areas of the different color blocks in the first color block class, select the largest area of the different color blocks in the first color block class, and use the largest area of the different color blocks in the first color block class as the optimal area of the different color blocks in the first color block class.

[0037] As a preferred solution of the garden landscape simulation design method described in the present invention, the calculation expression of the evaluation value is:

[0038] ;

[0039] in, is the evaluation value, is the number of normalized color block classes in the second top view, is the normalized third area, is the first area after normalization, For the The landscape separation of color blocks, For the The fragmentation of the landscape of each color block.

[0040] The beneficial effects of the present invention are as follows: converting a bird's-eye view of a garden into blocks of multiple colors is conducive to simplifying subsequent analysis and making the analysis more efficient; extracting multiple parameters from the bird's-eye view, and calculating multiple new parameters based on the correlation between the parameters, thereby enhancing the correlation between the parameters and making the evaluation indicators more holistic; establishing a landscape evaluation model based on the multiple new parameters, thereby improving the comprehensiveness of the model establishment; selecting the optimal color block area and color block distribution position, and increasing the accuracy and scientificity of the design. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of the basic flow of a garden landscape simulation design method provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0043] Example 1, with reference to Figure 1 , as an embodiment of the present invention, provides a garden landscape simulation design method, comprising the following steps:

[0044] Step S1, obtaining a first area of a garden and a first top view of the garden, preprocessing the first top view, and separating different colors in the preprocessed first top view to obtain different color blocks;

[0045] Step S2: remove black and gray blocks, count the number of remaining blocks, and classify and number the remaining blocks of the same color;

[0046] Step S3, obtaining natural data of the area to which the garden belongs, and inputting the first color block class, the areas of different color blocks in the first color block class, the distribution positions of different color blocks in the first color block class, and the natural data into a simulation model for simulation;

[0047] Step S4, obtaining a simulated second top view, obtaining a second color block class, obtaining an area of the second color block class (recorded as a third area), calculating an average distance between adjacent color blocks in the second color block class, calculating landscape separation based on the average distance and the third area, and calculating landscape fragmentation based on the third area and the first area;

[0048] In step S5, the landscape vulnerability is set to a first value, the landscape interference is set to a second value, a landscape evaluation model is constructed, and steps S1 to S5 are repeated to select the optimal areas of different color blocks in the first color block class and the optimal distribution positions of different color blocks in the first color block class.

[0049] The present invention converts a bird's-eye view of a garden into color blocks of multiple colors, which helps to simplify subsequent analysis and make the analysis more efficient. It extracts multiple parameters from the bird's-eye view, calculates multiple new parameters based on the correlation between the parameters, enhances the correlation between the parameters, and makes the evaluation indicators more holistic. Based on the multiple new parameters, a landscape evaluation model is established, which improves the comprehensiveness of the model establishment, selects the optimal color block area and color block distribution position, and increases the accuracy and scientificity of the design.

[0050] The step S1 includes the following sub-steps:

[0051] Step S11, obtaining a first area of the garden, and obtaining a first overhead view of the garden by using a drone;

[0052] Step S12: performing denoising and filtering on the first top view, and separating different colors in the first top view after the denoising and filtering to obtain different color blocks.

[0053] In a specific implementation, Gaussian filtering is used in the filtering process. By converting the bird's-eye view of the garden into blocks of multiple colors, it is helpful to simplify the subsequent analysis and make the analysis more efficient.

[0054] The step S2 includes the following sub-steps:

[0055] Step S21, obtaining different color blocks, and removing black blocks and gray blocks from the different color blocks;

[0056] Step S22: Count the number of remaining color blocks, classify the remaining color blocks of the same color, generate a first color block class, and number the first color block class as X. i , number the different color blocks in the first color block class as X ij .

[0057] In a specific implementation, numbering the first color block class and numbering the different color blocks in the first color block class is beneficial for clearer separation of the color blocks and facilitates subsequent simulation.

[0058] The step S3 includes the following sub-steps:

[0059] Step S31, obtaining natural data of the area to which the garden belongs, the natural data including precipitation data, sunshine azimuth data, sunshine altitude data, wind speed data, wind pressure data, and temperature data, obtaining a first color block class, the areas of different color blocks in the first color block class, and the distribution positions of different color blocks in the first color block class;

[0060] Step S32 , setting simulation time, and inputting the first color block class, the areas of different color blocks in the first color block class, the distribution positions of different color blocks in the first color block class, and natural data into the simulation model for simulation.

[0061] The step S4 includes the following sub-steps:

[0062] Step S41, obtaining the simulated second top view, the second color block type in the second top view, and the area of the second color block type in the second top view through the simulation model, and recording the area of the second color block type in the second top view as a third area;

[0063] Step S42 , calculating an average distance between adjacent color blocks in the second color block class, calculating landscape separation based on the average distance and the third area, and calculating landscape fragmentation based on the third area and the first area.

[0064] The calculation logic of the average distance is as follows: obtaining the distance between the centers of two adjacent color blocks, and calculating the average value of the distance between the centers of the two adjacent color blocks, and recording the average value of the distance between the centers of the two adjacent color blocks as the average distance;

[0065] The number of color blocks in different color block categories in the second bird's-eye view is counted, the average distance, the first area, the second area, the third area, and the number of color blocks are normalized, and the landscape separation and landscape fragmentation are calculated.

[0066] In the specific implementation, multiple parameters are extracted from the top view, and multiple new parameters are calculated based on the correlation between the parameters, which enhances the correlation between the parameters and makes the evaluation indicators more holistic.

[0067] The calculation expression of the landscape separation is:

[0068] ;

[0069] in, For the The landscape separation of color blocks, For the The normalized average distance value of the color blocks in the color block class, For the The value of the normalized third area of each color block class;

[0070] The calculation expression of the landscape fragmentation is:

[0071] ;

[0072] in, For the The fragmentation of the landscape of color blocks, After normalization, The value of the number of color blocks in a color block class, is the value of the first area after normalization.

[0073] The step S5 includes the following sub-steps:

[0074] Step S51: construct a landscape evaluation model. The input of the landscape evaluation model is the normalized third area, the normalized first area, the normalized number of color blocks in the color block class, the landscape separation and the landscape fragmentation, and the output is the evaluation value.

[0075] Step S52 , looping steps S1 to S5 , selecting the optimal areas of different color blocks in the first color block class and the optimal distribution positions of different color blocks in the first color block class.

[0076] In the specific implementation, a landscape evaluation model was established based on multiple new parameters, which improved the comprehensiveness of the model establishment, selected the optimal color block area and color block distribution position, and increased the accuracy and scientificity of the design.

[0077] The distribution positions are obtained by constructing a coordinate system and are expressed as two-dimensional plane coordinates.

[0078] The logic for selecting the areas of different color blocks in the optimal first color block class is:

[0079] Randomly select the areas of two different color blocks in the first color block class, compare the corresponding evaluation values, retain the area of the different color blocks in the first color block class with the larger value, traverse the areas of the different color blocks in the first color block class, select the largest area of the different color blocks in the first color block class, and use the largest area of the different color blocks in the first color block class as the optimal area of the different color blocks in the first color block class.

[0080] The calculation expression of the evaluation value is:

[0081] ;

[0082] in, is the evaluation value, is the number of normalized color block classes in the second top view, is the normalized third area, is the first area after normalization, For the The landscape separation of color blocks, For the The fragmentation of the landscape of each color block.

[0083] The present invention converts a bird's-eye view of a garden into color blocks of multiple colors, which helps to simplify subsequent analysis and make the analysis more efficient. It extracts multiple parameters from the bird's-eye view, calculates multiple new parameters based on the correlation between the parameters, enhances the correlation between the parameters, and makes the evaluation indicators more holistic. Based on the multiple new parameters, a landscape evaluation model is established, which improves the comprehensiveness of the model establishment, selects the optimal color block area and color block distribution position, and increases the accuracy and scientificity of the design.

[0084] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 Functions specified in one or more boxes

[0085] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A garden landscape simulation design method, characterized in that: The following steps are involved: Step S1, obtaining a first area of a garden and a first top view of the garden, preprocessing the first top view, and separating different colors in the preprocessed first top view to obtain different color blocks; Step S2: remove black and gray blocks, count the number of remaining blocks, and classify and number the remaining blocks of the same color; Step S3, obtaining natural data of the area to which the garden belongs, and inputting the first color block class, the areas of different color blocks in the first color block class, the distribution positions of different color blocks in the first color block class, and the natural data into a simulation model for simulation; Step S4, obtaining a simulated second top view, obtaining a second color block class, obtaining an area of the second color block class (recorded as a third area), calculating an average distance between adjacent color blocks in the second color block class, calculating landscape separation based on the average distance and the third area, and calculating landscape fragmentation based on the third area and the first area; Step S5: setting the landscape vulnerability to a first value and the landscape interference to a second value, constructing a landscape evaluation model, and looping through steps S1 to S5 to select the optimal areas of different color blocks in the first color block class and the optimal distribution positions of different color blocks in the first color block class; The step S3 includes the following sub-steps: Step S31, obtaining natural data of the area to which the garden belongs, the natural data including precipitation data, sunshine azimuth data, sunshine altitude data, wind speed data, wind pressure data, and temperature data, obtaining a first color block class, the areas of different color blocks in the first color block class, and the distribution positions of different color blocks in the first color block class; Step S32, setting a simulation time, and inputting the first color block class, the areas of different color blocks in the first color block class, the distribution positions of different color blocks in the first color block class, and natural data into a simulation model for simulation; The step S4 includes the following sub-steps: Step S41, obtaining the simulated second top view, the second color block type in the second top view, and the area of the second color block type in the second top view through the simulation model, and recording the area of the second color block type in the second top view as a third area; Step S42, calculating the average distance between adjacent color blocks in the second color block class, calculating the landscape separation based on the average distance and the third area, and calculating the landscape fragmentation based on the third area and the first area; The calculation logic of the average distance is as follows: obtaining the distance between the centers of two adjacent color blocks, and calculating the average value of the distance between the centers of the two adjacent color blocks, and recording the average value of the distance between the centers of the two adjacent color blocks as the average distance; The number of color blocks in different color block categories in the second bird's-eye view is counted, the average distance, the first area, the second area, the third area, and the number of color blocks are normalized, and the landscape separation and landscape fragmentation are calculated.

2. A garden landscape simulation design method according to claim 1, characterized in that: The step S1 includes the following sub-steps: Step S11, obtaining a first area of the garden, and obtaining a first overhead view of the garden by using a drone; Step S12: performing denoising and filtering on the first top view, and separating different colors in the first top view after the denoising and filtering to obtain different color blocks.

3. A garden landscape simulation design method according to claim 1, characterized in that: The step S2 includes the following sub-steps: Step S21, obtaining different color blocks, and removing black blocks and gray blocks from the different color blocks; Step S22: Count the number of remaining color blocks, classify the remaining color blocks of the same color, generate a first color block class, and number the first color block class as X. i , number the different color blocks in the first color block class as X ij。 4. A garden landscape simulation design method according to claim 1, characterized in that: The step S5 includes the following sub-steps: Step S51, constructing a landscape evaluation model, wherein the inputs of the landscape evaluation model are the normalized third area, the normalized first area, the normalized number of color blocks in the color block class, the landscape separation and the landscape fragmentation, and the output is the evaluation value; The calculation expression of the landscape separation is: ； in, For the The landscape separation of color blocks, For the The normalized average distance value of the color blocks in the color block class, For the The value of the normalized third area of each color block class; The calculation expression of the landscape fragmentation is: ； in, For the The fragmentation of the landscape of color blocks, After normalization, The value of the number of color blocks in a color block class, is the value of the first area after normalization; Step S52 , looping steps S1 to S5 , selecting the optimal areas of different color blocks in the first color block class and the optimal distribution positions of different color blocks in the first color block class.

5. The garden landscape simulation design method according to claim 1, wherein: The distribution position is obtained by constructing a coordinate system and expressed as two-dimensional plane coordinates; The logic for selecting the areas of different color blocks in the optimal first color block class is: Randomly select the areas of two different color blocks in the first color block class, compare the corresponding evaluation values, retain the area of the different color blocks in the first color block class with the larger value, traverse the areas of the different color blocks in the first color block class, select the largest area of the different color blocks in the first color block class, and use the largest area of the different color blocks in the first color block class as the optimal area of the different color blocks in the first color block class.

6. A garden landscape simulation design method according to claim 4, characterized in that: The calculation expression of the evaluation value is: ； in, is the evaluation value, is the number of normalized color block classes in the second top view, is the normalized third area, is the first area after normalization, For the The landscape separation of color blocks, For the The fragmentation of the landscape of each color block.

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