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Quick sectioning method based on point cloud, intelligent terminal and cloud platform

A technology of intelligent terminal and cloud platform, applied in the fields of engineering drawing and digital construction, 3D reverse, and 3D visualization, it can solve the problems of data redundancy, difficulty in copying and sharing, and high hardware requirements, so as to reduce hardware requirements and reduce big data redundancy. Effect

Inactive Publication Date: 2021-01-19
信成网络科技(阳江)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the data processing of point cloud data may have multiple data conversion formats and data redundancy. At present, the display and interaction of point cloud is mostly based on the installation of the client, which is difficult to copy and share, and has high requirements for hardware.

Method used

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  • Quick sectioning method based on point cloud, intelligent terminal and cloud platform
  • Quick sectioning method based on point cloud, intelligent terminal and cloud platform
  • Quick sectioning method based on point cloud, intelligent terminal and cloud platform

Examples

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Embodiment Construction

[0071] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0072] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc. indicated orientations or positional relationships are based...

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Abstract

The invention discloses a quick sectioning method based on point cloud, an intelligent terminal and a cloud platform, and the method comprises the following steps: uploading point cloud data, so as toenable the cloud platform to convert the point cloud data into an octree binary system for storage, and obtaining a point cloud file; after a viewing instruction is obtained, asynchronously loading the point cloud file from the cloud platform according to the viewing instruction, and visually rendering the point cloud according to the point cloud file; sensing the area of interest and the parameters, so that the cloud platform evaluates the number of point clouds in the region of interest and returns points; uploading a generation instruction to enable the cloud platform to calculate the number of point clouds in the area of interest to obtain target data; and uploading the downloading instruction, so that the cloud platform converts the target data into a corresponding output data type and returns the output data type. Based on a browser, a PC terminal, a mobile terminal and other clients are supported, the cloud platform stores the point cloud data and performs data operation, the hardware requirements of the clients are reduced, and the invention can be widely applied to the field of three-dimensional visualization.

Description

technical field [0001] The invention relates to the technical fields of three-dimensional visualization, three-dimensional reverse engineering, engineering drawing and digital construction, and in particular to a point cloud-based fast sectioning method, an intelligent terminal and a cloud platform. Background technique [0002] Cloud point data means that the scanned data is recorded in the form of points, each point contains three-dimensional coordinates, and some may contain color information. Due to the large data volume of point cloud data, a large storage space is required, and a large network bandwidth, hard disk, memory, etc. are required for transmission, and there is no good management of large data set point clouds, so it is not easy to share. Users need to extract interested digital asset information in large scenarios. In addition, the data processing of point cloud data may have multiple data conversion formats and data redundancy. At present, the display and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06T15/00
CPCG06T15/005G06T17/005G06T2207/10028G06T2207/20104
Inventor 陈友艺
Owner 信成网络科技(阳江)有限公司
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