Automobile intelligent paint spraying system based on cloud computing

A cloud computing and automotive technology, applied in spray booths, transmission systems, spray devices, etc., can solve problems such as affecting the health of operators, poor quality consistency, and large paint loss, avoiding health injuries, high production efficiency, and paint loss. small effect

Active Publication Date: 2017-03-22
吉林省天大精益智能制造技术有限公司
View PDF5 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the problems of large paint loss, poor quality consistency, affecting the health of operators, serious pollution, low efficiency and high cost in the existing manual painting, the present invention provides a cloud computing-based intelligent car painting system

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
  • Automobile intelligent paint spraying system based on cloud computing
  • Automobile intelligent paint spraying system based on cloud computing
  • Automobile intelligent paint spraying system based on cloud computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0038] A cloud computing-based intelligent automobile painting system of the present invention utilizes its own powerful storage capacity and data processing capacity to manage the three-dimensional model data of various types of sprayed parts, plan the spraying path, monitor the working state of the spraying, and improve the processing path and process according to the feedback data. Spray method for increased efficiency. Through the construction of the cloud computing platform 1, the spraying and baking rooms 3 of the separate and independently operated auto repair shops are now grouped into a networked workshop, so as to realize information sharing among the spraying and baking rooms 3 and optimize resource allocation. Each city is equipped with 1-2 city service platforms 2 based on machine vision model intelligent recognition technology as an information ...

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 provides an automobile intelligent paint spraying system based on cloud computing, relating to the field of spray painting process. The problems of large paint loss, poor quality consistency, the affection of the health of operating personnel, serious pollution, low efficiency, and high cost in existing artificial painting are solved. The system comprises a cloud computing platform, multiple city service platforms, and a plurality of spraying and baking rooms. The cloud computing platform comprises a large server, a data memory, a double-wire-access type Gigabit network, a router, a switch, a data management system, an automobile spare part 3D model database, and an automobile spare part spraying program database. Each of the city service platforms comprises a high performance server, a 3D scanning device, a 3D scanning device control system, a spray piece point cloud database, an automobile spare part spraying program database, a quality inspection database, an automobile spare part spraying path planning system, and a double-wire-access type Gigabit network. Electric shutter doors are used to divide the spraying and baking rooms into spraying rooms and baking rooms. The system has the advantages of good quality consistency, no pollution, high efficiency and low cost.

Description

technical field [0001] The invention relates to the technical field of painting technology, in particular to an intelligent car painting system based on cloud computing. Background technique [0002] With the continuous development of the automobile industry, the continuous increase of labor costs and the continuous enhancement of environmental protection awareness, traditional industries urgently need to be armed with a series of technical means such as automation, informatization, and intelligence. industry product competitiveness. In recent years, the number of automobiles in my country has risen sharply, the demand for resources has increased sharply, and the air pollution caused by it has also become increasingly serious. Benefiting from the introduction of energy-saving and environmental protection policies, energy-saving and environmental protection, new energy vehicles and related parts industries will be new investment growth points and the future development direc...

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): G05B19/04B05B15/12B05B13/04H04L29/08
CPCB05B13/0431B05B16/20G05B19/04H04L67/10
Inventor 许明哲尤涛张成礼张荫君
Owner 吉林省天大精益智能制造技术有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap