Three-dimensional transformer station semi-automatic reconstruction method based on laser point cloud data

A technology of laser point cloud data and point cloud data, which is applied in the fields of electric power engineering, surveying and mapping, and 3D digitization. It can solve the problems of large amount of manual interaction, difficulty in guaranteeing model accuracy, and low production efficiency. Intervention, the effect of improving production efficiency

Inactive Publication Date: 2016-08-10
XIAMEN GREAT POWER GEO INFORMATION TECH +1
View PDF3 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] Due to the complex and diverse structure of substation equipment, there are problems such as large amount of manual interaction, difficulty in ensuring model accuracy, and low production efficiency in the process of three-dimensional modeling of substations. Semi-automatic reconstruction method of 3D substation based on laser point cloud data to ensure model accuracy and improve production efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Three-dimensional transformer station semi-automatic reconstruction method based on laser point cloud data
  • Three-dimensional transformer station semi-automatic reconstruction method based on laser point cloud data
  • Three-dimensional transformer station semi-automatic reconstruction method based on laser point cloud data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The key technology of the present invention is to obtain the classification and identification of the substation power equipment expressed by point cloud data, and the matching between the substation power equipment and the three-dimensional standard model in the three-dimensional standard model library.

[0060] Specific embodiments of the present invention will be described in detail below.

[0061] (1) Data collection.

[0062] Data acquisition includes collecting point cloud data of substations with laser scanning equipment and texture data of substations with optical cameras. For point cloud data of substations, see figure 2 .

[0063] The collection of point cloud data is as follows:

[0064] According to the site conditions, conduct field surveys and lay out targets. The basic principles of target layout are: ① Ensure that at least 3 public targets are observed between stations; ② To ensure the splicing of point cloud data Accuracy requires that the point clo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a three-dimensional transformer station semi-automatic reconstruction method based on laser point cloud data. The method comprises the steps: according to the existing standard of an electrical apparatus in the electric power industry, by collecting point cloud data and texture data of a transformer station, constructing a high-reality three-dimensional standard mode library of the electrical apparatus of the transformer station; by combining with the existing standard model of the transformer station, based on the laser point cloud data, performing ground feature extraction and identification, and automatically acquiring a position and a gesture of the electric apparatus in space; putting the three-dimensional electric apparatus into a corresponding point cloud three-dimensional scene, thereby completing vectorization of the point cloud data and further completing three-dimensional reconstruction of a transformer station scene. According to the three-dimensional transformer station semi-automatic reconstruction method based on the laser point cloud data, semi-automation of the three-dimensional reconstruction of the transformer station is achieved, and manual interference can be reduced, so that the production efficiency is improved, and the production cycle is shortened; by utilizing the precision advantage of laser point cloud, the precision of model products can be improved, and the whole simulation degree is high.

Description

technical field [0001] The invention belongs to the technical fields of electric power engineering, surveying and mapping, and three-dimensional digitization, and in particular relates to a semi-automatic reconstruction method of a three-dimensional substation based on laser point cloud data. Background technique [0002] With the in-depth research and application of digital city and 3D visualization technology in the electric power field, the establishment of a high-fidelity 3D substation model has become a research and application hotspot [1-5] . Based on the digital application of grid resources, the 3D grid GIS platform can not only express the visual management characteristics of smart grid more realistically and intuitively, but also more realistically and effectively comprehensively use and manage complex grid spatial data. Traditional 3D modeling technology mainly uses close-range photogrammetry technology and fragmented-step measurement technology to carry out 3D r...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06T17/00
CPCG06F30/367G06T17/00G06T2200/08G06T2210/04
Inventor 高云龙张帆黄先锋李静高平施明泰李朝阳张伟
Owner XIAMEN GREAT POWER GEO INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products