Research And Design Of Welding Seam Tracking Control System

• doi: 10.1109/WCMEIM52463.2020.00051
• title: Research and design of welding seam tracking control system
• publisher: IEEE
• isbn: 978-1-6654-3112-5
• issn:
• rank: 3450
• access_type: LOCKED
• content_type: Conferences
• abstract: To solve the problem of welding automation, based on ARM+FPGA technology, this paper proposed a welding seam tracking control system design scheme, the whole process includes image acquisition and motion control. The system adopts CMOS image sensor to collect image information of welding seam for denoising, curve fitting, calculation of deviation amount, control motor to adjust the position of the welding torch in real-time, and achieve the purpose of automatic welding. The test results show that the system can perform image processing accurately, locate welding seam and realize automatic welding tracking [1].
• article_number: 9409436
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9409436
• html_url: https://ieeexplore.ieee.org/document/9409436/
• abstract_url: https://ieeexplore.ieee.org/document/9409436/
• publication_title: 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)
• conference_location: Shanghai, China
• conference_dates: 4-6 Dec. 2020
• publication_number: 9409055
• is_number: 9409320
• publication_year: 2020
• publication_date: 4-6 Dec. 2020
• start_page: 212
• end_page: 216
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 169
• insert_date: 20210423
• index_terms:
  • ieee_terms:
    • Automation
    • Tracking
    • Welding
    • Image processing
    • Noise reduction
    • Process control
    • Control systems
  • author_terms:
    • ARM
    • FPGA
    • seam tracking
    • automatic welding
  • dynamic_index_terms:
    • Control System
    • Weld Seam
    • Seam Tracking
    • Image Processing
    • Image Acquisition
    • Motor Control
    • Image Sensor
    • Camera Sensor
    • Coordinate System
    • Human-computer Interaction
    • Human Computer Interaction
    • User Interaction
    • Control Mode
    • Performance In Applications
    • Pixel Coordinates
    • Welding Process
    • Reference Tracking
    • Serial Port
    • Physical Coordinates
    • Storage Module
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-3112-5, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-4109-4, isbnType: New-2005
• authors:
  • Author Name: Lin Hou
    Affiliation: School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China
    Author URL: https://ieeexplore.ieee.org/author/37088351591
    ID: 37088351591
    Order: 1
    Author Affiliations:
    • School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China
  • Author Name: Haichuan Zhang
    Affiliation: School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China
    Author URL: https://ieeexplore.ieee.org/author/37086191069
    ID: 37086191069
    Order: 2
    Author Affiliations:
    • School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China
  • Author Name: Yan Mu
    Affiliation: School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China
    Author URL: https://ieeexplore.ieee.org/author/37088846675
    ID: 37088846675
    Order: 3
    Author Affiliations:
    • School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China

Image Sensor

• sensor_type: CMOS
• resolution: varies by application (commonly specified as e.g., 1920x1080)
• dynamic_range: varies (often specified in dB)
• pixel_size: typically in micrometers (µm)
• dark_current: varies (e-/s) based on sensor specifications

Optical Data

• focal_length: varies (depends on lens used, expressed in mm)
• aperture: varies (expressed as f-number, e.g., f/2.8)
• field_of_view: varies by design (expressed in degrees)
• distortion: varied by design specifics (often given as a percentage)

Performance Metrics

• frame_rate: varies by application (expressed in fps)
• signal_to_noise_ratio: varies (specified in dB)
• sensitivity: varies (expressed in ISO units)
• shutter_speed: varies (e.g., 1/60s)
• power_consumption: varies by design (expressed in mW)
• noise: varies (typically expressed in electrons e- or as noise floor values)

Applications & Benefits

• cell_imaging: Used in medical imaging devices for diagnostics and research
• benefits: Enables high-quality digital imaging across various sectors, including compact size, low power consumption, and high adaptability.

Supporting Organizations

• supported_by: Various organizations engaged in semiconductor research and development.

Manuscript Details

• publication_date: 4-6 Dec. 2020

Relevancy Score

• score: 10
• missing_fields:
  • publication_date
  • authors
  • specific resolution
  • specific dynamic_range
  • specific pixel_size
  • specific dark_current
  • specific fill_factor
  • specific quantum_efficiency
  • specific readout_speed
  • specific noise_sources

Processed JSON Filename

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