Intelligent continuous casting full surface quality online inspection system

The continuous casting surface quality inspection system comprehensively applies multi-disciplinary knowledge such as light, mechanics, electricity, pattern recognition, and deep learning. It is a typical application of machine vision AI recognition technology in the metallurgical industry.

  • In-depth integration with Academia Sinica to develop core imaging
  • Integrated continuous casting inspection mature hardware
  • Rich knowledge base of steel continuous casting process quality
  • Product cost performance and localization services

Function introduction and key technical indicators

Large slab continuous casting
Billet Surface quality

 

  • Comprehensive defect detection rate: ≥98%;
  • Comprehensive defect classification rate: ≥75%;
  • Comprehensive defective detection rate: ≤5%;
  • Continuous casting billet number recognition rate: ≥99.9%;
  • System operation rate: ≥99.9%;

Value of the billet surface quality inspection system

1) Seize the “export gate” of steelmaking and improve the quality control level of the process
2) Reduce on-site personnel, reduce labor load, and increase the effect of centralized control of continuous casting operations
3) Integrate with the production control system (L1, L3) to automatically control the continuous casting billet logistics rhythm according to the detection results
4) Increase the hot transfer rate of continuous casting slabs

Seize the "export gate" of steelmaking and improve the quality control level of the process

Reduce on-site personnel, reduce labor load, and increase the effect of centralized control of continuous casting operations

Automatically control the continuous casting billet logistics rhythm according to the detection results

Increase the hot transfer rate of continuous casting slabs

Optical Imaging Design Elements

The optical imaging system ensures that the detection device can obtain high-contrast defect images with optimal resolution, optical path and imaging method, ensuring that defects are most clearly visible in the background, laying a solid foundation for subsequent image processing and defect classification.

The area array and line cameras of the optical imaging system are designed with infrared cut-off filters, LED high-brightness light sources, strobe light sources, custom-selected large aperture lenses and other imaging devices to adapt to the surface conditions of continuous casting and overcome high temperatures and red heat. interference with imaging.

  • camera short exposure
    Infrared wavelength cut filter
  • Adaptive brightness adjustment LED light source (with line array camera)
  • High-brightness LED strobe light source (with area scan camera)
  • Large aperture lens

Line array sensor unit detection renderings

billet quality

Line array camera module to create a complete continuous casting diagram of the upper and lower surfaces

1) Intuitive display and complete data storage


2) As a supplement to automatic defect identification, it prevents serious defects from being missed.


3) Sensors can be added on both sides of the end for end-face quality detection


4) Facilitates defect collection and can be marked manually

Area array sensor unit detection renderings

billet quality inspection

The area array camera module, combined with line array data, completes defect detection and classification based on AI learning in the image processing computer.

Additional detection modules available

  • The system can be configured with end detection modules on both sides to detect full-length end defects of the continuous casting billet passing through the inspection area. It cooperates with the servo control mechanism and laser ranging equipment to ensure that the camera collects end images at the accurate design object distance.

 

  • The system can be configured with an automatic recognition module for the continuous casting billet number, and uses an external triggering method to shoot, that is, the position of the continuous casting billet is detected through the through-beam switch. When the billet moves to cover the through-beam switch, the light source strobes, and the camera captures an image simultaneously. This image collection method can ensure that the relative position of the character surface of the continuous casting billet and the camera is fixed at the moment of collecting the image. The billet surface is located at the best focus position of the camera, and the image has the best clarity and resolution lock.

     

  • Based on the deep learning algorithm, character recognition can achieve higher accuracy and robustness, and compare and match the recognized characters with L2 information. For unrecognizable characters, an alarm will be given.

Metallurgical Intelligence
Change the way of manufacturing

Save labor, improve working environment, improve efficiency, reduce error rate and save cost!

Металлургический интеллект
Изменить способ производства

Сэкономьте труд, улучшите рабочую среду, повысьте эффективность, уменьшите количество ошибок и снизьте затраты!