A Solar Energy Potential Assessment Method Based on Ground Laser Point Cloud

A laser point cloud and solar energy technology, applied in the field of solar energy resource assessment, can solve problems such as large shadow area and difficult to adapt to complex scenes
CN106780586BActive Publication Date: 2019-08-27XIAMEN UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
XIAMEN UNIV
Publication Date
2019-08-27

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Abstract

The invention discloses a ground laser point cloud based solar energy potential evaluation method, which comprises the steps of S1, rarefying the original point cloud; S2, performing extraction of a ground point set R in a region of interest on the rarefied point cloud P, wherein the rarefied point cloud P is a subset of the ground point set R; S3, setting a light source deviation control angle; S4, quickly calculating the position and the number of base points by adopting a farthest-first traversal strategy; S5, calculating the base point sun position; S6, performing shading analysis on a three-dimensional point cloud scene by adopting a generalized hidden point removal (GHPR) algorithm, and thus performing sunlight simulation calculation; S7, performing binary shadow rendering on a shading analysis result; and S8, performing solar radiation calculation on the point cloud scene. The evaluation method disclosed by the invention can provide quick and efficient automatic evaluation for solar energy resources, and can provide a three-dimensional solar energy resource distribution map in any time period of an investigated area for users.
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Description

technical field

[0001] The invention relates to the field of computer graphics, in particular to a method for evaluating solar energy resources by using laser point clouds. Background technique

[0002] The traditional assessment of solar energy potential is mainly based on the method of subjective estimation during the installation of equipment. However, the distribution of solar radiation depends on time, climate, and the spatial position relationship of objects in the survey environment. Simple inspection and calculation are difficult to deal with complex and changeable conditions. Investigate the environment, such as urban areas, woodlands, and traffic sections. For the traditional manual measurement method, its analysis efficiency is low, and the data collection and subsequent processing are separated, which is difficult to meet the needs. Therefore, an accurate analysis method with the ability of time-space transformation and inversion is urgently needed.

[0003] In ...

Claims

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