Self-adaption welding method and system based on cloud platform big data

A welding method and welding system technology, applied in welding equipment, resistance welding equipment, metal processing equipment, etc., can solve the problems of no adaptive control logic, lack of network big data intelligent adaptation and support guidance, etc., to reduce manual interaction Repeated assembly process, high production practical value and market economic value, and the effect of reducing production cost

Active Publication Date: 2019-05-31
无锡海菲焊接设备有限公司
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the existing DSP controllers are all stand-alone versions, and the adaptive control logic generally has no or local solidified control logic, and lacks intelligent adaptation and support guidance of network big data; therefore, the prior art lacks a network-based cloud Intelligent adaptive welding technology with big data storage

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
  • Self-adaption welding method and system based on cloud platform big data
  • Self-adaption welding method and system based on cloud platform big data
  • Self-adaption welding method and system based on cloud platform big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] In order to enable those skilled in the art to better understand the present invention and to define the protection scope of the present invention more clearly, the present invention will be described in detail below with respect to some specific embodiments of the present invention. It should be noted that the following are only some specific implementations of the present invention concept, which are only part of the embodiments of the present invention, and the specific and direct descriptions of the relevant structures are only for the convenience of understanding the present invention, and each specific feature is not a matter of course. , directly limit the scope of implementation of the present invention. Routine selections and replacements made by those skilled in the art under the guidance of the concept of the present invention should be considered within the scope of protection of the present invention.

[0082] A method for realizing adaptive welding based o...

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 self-adaption welding method and system based on cloud platform big data. According to the self-adaption welding method, a big data storage and intelligent rule base is established through a cloud platform server; a dynamic resistance control main theory is adopted to perform welding self-adaption control; and in cooperation with optimized welding process evaluation and energy control ideas, all-around guidance, process monitoring and quality control are carried out on the welding quality of DSP control. A forward-oriented self-adaption control theory is achieved, post-processing process evaluation and quality compensation optimization are achieved, system configuration of an automated trusteeship technology manner is used in cooperation, the perfect and comprehensive production process method and system are achieved, the very high process quality and automated production level are provided for the mechanical welding industry through establishment and perfectmoving direction maturity, the social labor efficiency can be directly improved, and ultimately the high economic and social benefits are achieved.

Description

technical field [0001] The invention relates to the resistance welding business of the machinery industry, and relates to a method and system for realizing self-adaptive welding based on cloud platform big data. Background technique [0002] Resistance welding is a welding process that uses current to pass through the resistance of the workpiece and the welding contact surface to generate heat, and at the same time applies pressure to the welding place for welding. It has the characteristics of high production efficiency, low cost, material saving and easy automation, and is widely used. In aerospace, energy, electronics, automobiles, light industry and other industrial fields. According to the nature of the power source, welding machines can be divided into industrial frequency AC welding machines, secondary rectifier welding machines, three-phase low-frequency welding machines, DC shock wave welding machines, capacitor energy storage welding machines, and inverter welding ...

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): B23K11/00B23K11/36
Inventor 郭天水
Owner 无锡海菲焊接设备有限公司
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