Method for point cloud data processing and crossover object obtaining of transmission line
A technology of 3D point cloud and transmission line, which is applied in the direction of electrical digital data processing, image data processing, special data processing applications, etc., can solve the problems of no 3D point cloud data processing and intersecting object acquisition methods, etc., and achieve comprehensive data information Rich, precise and practical effects
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0031] A method for processing three-dimensional point cloud data of a power transmission line and acquiring cross-span objects, characterized in that the method includes the following steps:
[0032] 1) according to the information of ground objects in the three-dimensional point cloud data, the topographical object information database is established, wherein the ground object information includes the spatial position, shape, type, and size of the ground object;
[0033] 2) Using 3D laser scanning to obtain the original 3D point cloud data;
[0034]3) Obtaining ground features: adding the ground feature information to the 3D point cloud data by automatically identifying the spatial position, shape, type or size of the terrain features; or adding the ground feature attributes to the 3D coordinates manually The form is added to the 3D point cloud data.
Embodiment 2
[0036] A transmission line three-dimensional point cloud data processing method and a method for acquiring cross-span objects as described in Embodiment 1, the difference is that the terrain and object information database includes tree models, building models, three-line models, road models, and railway models , river model, pipeline model, greenhouse model and nursery model.
Embodiment 3
[0038] A method for processing three-dimensional point cloud data of a power transmission line and acquiring cross-span objects as described in Embodiment 1, the difference is that, in the step 3), first, the ground object information is automatically identified by the spatial position, shape, The matching method of type or size is added to the three-dimensional point cloud data; and then the ground object information is added to the three-dimensional point cloud information map for proofreading by manually assigning three-dimensional coordinates.
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com