TUS-INVENT > Case Studies > Surface Defect Inspection of 3D Line Laser Scanning Auto Tire Radius Pattern

Surface Defect Inspection of 3D Line Laser Scanning Auto Tire Radius Pattern

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 Surface Defect Inspection of 3D Line Laser Scanning Auto Tire Radius Pattern  - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Process Analytics
  • Sensors - Camera / Video Systems
Applicable Industries
  • Automotive
Applicable Functions
  • Discrete Manufacturing
Use Cases
  • Computer Vision
Services
  • System Integration
The Challenge

From the pursuit of car ownership to the pursuit of higher quality and safe cars, tires are an important part of car safety.

The Solution

Hardware: 3 sets of laser profile sensors are used, 1 set to detect tread, width, texture depth, wheel radius, 2 sets to detect side surface, to detect obvious wear, such as tire bulge, 3 sets of synchronous sensors measure synchronously to eliminate the influence of tape jitter. Fibre optic and wireless CDMA transmission lines.

  • Equipment width error requirements ≤0.5mm;
  • Texture depth detection error requirements ≤0.2mm
  • Wheel radius detection error requirements ≤0.5mm
  • Detection frequency requirements: 1 detection per second
  • Set the installation distance of the installed sensor from the tape to 650mm

Software: Through the advantages of operation and maintenance software and big data analysis developed by TUS-INVENT, the application solution realizes real-time collection and reporting of the 3D line laser scanning data of the product, and real-time intelligent alarm according to the background control centre analysis and simulation setting alarm value. It meets the dual real-time push of digital switch signals, alarm information graphics and digital signals, the graphical display, the display of the 3D profile of the tire tread, and the display of measurement elements provide users with high-sensitivity highlights.

Operational Impact
  • [Process Optimization - Real Time Alerts]

    Real-time intelligent alarm according to the background control centre analysis and simulation setting alarm value.

  • [Management Effectiveness - Real Time Information]

    Realizes real-time collection and reporting of the 3D line laser scanning data of the product.

Quantitative Benefit
    • Width detection, error ≤0.5mm.
    • Texture depth detection, error ≤0.2mm.
    • Wheel radius detection, error ≤ 0.5mm.
    • Inspection frequency: 2 minutes per tire.
    • Alarm requirements: when out of tolerance occurs, alarm immediately, there is a kanban in the production centre, the alarm is digitized, and the alarm signal can be given through the digital switch signal

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