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A Soft Sensor Model of Sintering Process Quality Index Based on Multi-Source Data Fusion.

Yuxuan Li1,2, Weihao Jiang1, Zhihui Shi1

  • 1Hikvision Research Institute, Hangzhou 310051, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
Summary

This study introduces a new sintering quality prediction model using multi-source data fusion, incorporating industrial video data. The model enhances prediction accuracy for key quality variables in complex industrial sintering processes.

Keywords:
image feature extractionkeyframe extractionmulti-source data fusionsintering quality prediction

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Area of Science:

  • Materials Science
  • Industrial Engineering
  • Computer Vision

Background:

  • Key quality variables in industrial sintering are challenging to measure online, leading to delays and scarce data.
  • Existing methods struggle with real-time monitoring and data scarcity in sintering processes.

Purpose of the Study:

  • To develop an accurate sintering quality prediction model using multi-source data fusion.
  • To integrate industrial video data into sintering quality assessment.

Main Methods:

  • Keyframe extraction based on feature height from industrial camera video.
  • Multi-scale feature extraction using shallow layer (sinter stratification) and deep layer (ResNet) methods.
  • Fusion of extracted image features with industrial time series data for a soft sensor model.

Main Results:

  • The proposed multi-source data fusion model significantly improves the accuracy of sinter quality prediction.
  • Effective utilization of diverse data sources, including visual and time-series data.
  • Demonstrated feasibility of using video data for real-time quality monitoring.

Conclusions:

  • Multi-source data fusion, incorporating video analysis, offers a robust solution for accurate sintering quality prediction.
  • The developed soft sensor model addresses limitations of traditional offline testing and data scarcity.
  • This approach enhances process control and quality management in industrial sintering.