Method for determining optimal planting surface of foliage arbor by bisection method and positioning device

Abstract

The invention relates to a method for determining an optimal planting surface of foliage arbors by a bisection method and a positioning device. The method comprises the steps of determining a density segmentation surface at a vertical density boundary of branches and leaves of a crown; determining a far-end boundary point of a crown breadth in a suspected area; performing primary partitioning, drawing an imaginary circle on the ground, forming an imaginary density segmentation line by an orthographic projection of the density segmentation surface on the ground, and dividing the imaginary circle into an imaginary suspected region and an imaginary abandoned region by the imaginary density segmentation line; and carrying out secondary partitioning, respectively partitioning a fan-shaped region with a central angle of 45 degrees on each of two sides of the imaginary suspected region by using the positioning device to serve as a secondary optimal planting surface a and a secondary optimal planting surface b, and taking a fan-shaped region with a central angle of 90 degrees between the optimal planting surfaces as the optimal planting surface. According to the method for determining the optimal planting surface of the foliage arbor by the bisection method and the positioning device, quantitative control on the identification result quality of the optimal planting surface of single foliage arbor can be achieved, execution standards are uniform and operation is simple and convenient.

Description

technical field [0001] The present invention relates to the cultivation of hops, grapes, fruit trees or similar trees, in particular to the technical fields of soil and water conservation broad-leaved arbor planting and landscape foliage arbor planting, in particular to a dichotomous method for determining the best planting surface of foliage arbors and its Positioning means. Background technique [0002] Planting broad-leaved trees and leaf-viewing trees is not only one of the measures in soil and water conservation projects, but also a common type in landscape greening projects, especially in landscape greening group projects, planting leaf-viewing trees is very common. In terms of landscape aesthetic requirements, the foliage trees used in each location will serve the viewing points for tourists set in the landscape design, which requires that the best planting surface (also called the best viewing surface) of all foliage trees must face The above-mentioned viewing point...

AI Technical Summary

Problems solved by technology

[0004] First, there is a lack of quantitative control methods for the quality of the final greening landscape effect, resulting in the lack of a quantitative control method for the non-quantitative indicator of greening landscape aesthetics through quantitative quality control of individual plants

[0005] Second, it completely relies on the subjective judgment of on-site workers, and there is no unified implementation standard for the management of the aesthetic quality of individual plant planting. Judging criteria, it is difficult to ensure that the best planting surface of each plant is facing the viewing point of tourists, and the overall landscape effect is poor

In addition, the quality of the final landscape is completely dependent on the construction party and construction personnel, which leads to the passive management of the landscape quality by the construction unit

[0006] Third, there is no way to realize the control of the aesthetics of individual arbor planting and the high-quality implementation of the overall landscape design plan

The existing traditional method is fuzzy judgment, and the determined optimal planting surface has a large randomness, which cannot guarantee that the optimal planting surface of each plant is uniformly oriented to the main viewing point, just like in a group photo, each person faces different directions and does not Facing the camera, it's messy

Therefore, the existing traditional methods are not conducive to the quantitative control of landscape quality, and cannot ensure that the target deviation between the actual effect of the green landscape aesthetics and the design effect is within the quantitative controllable range, which ultimately leads to the inability to present the design intention with high quality, especially for trees. Design intentions of landscape groups and landscape sketches

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