Calibration

Last updated 2026.02.13
교정Calibration측정장비품질관리센서예지보전스마트팩토리AI

Definition

Calibration is the process of comparing measurement values from a device under test with a calibration standard of known accuracy to verify and adjust measurement precision. In manufacturing, it is an essential activity to ensure the reliability of measurement equipment and maintain product quality.

Application in Manufacturing

Measurement Equipment Management

  • Precision instruments: Regular calibration of micrometers, calipers, and dimensional measurement tools
  • Sensor systems: Maintaining accuracy of temperature, pressure, and flow sensors
  • Inspection equipment: Setting standards for 3D measurement machines and vision inspection systems
  • Analytical instruments: Standardization of composition analyzers and physical property measurement equipment

Quality Assurance System

  • Calibration history management required for quality certifications like ISO 9001, IATF 16949
  • Process capability improvement by minimizing measurement uncertainty
  • Preventive quality management through calibration cycle control

Manufacturing AI Perspective

Intelligent Calibration Management

  • Predictive calibration: AI learns sensor drift patterns to predict optimal calibration timing
  • Auto-calibration: Real-time adjustment using machine learning-based automatic correction algorithms
  • Calibration data analysis: Predicting equipment aging by analyzing calibration history

Smart Factory Integration

  • Automatic calibration notification system for IoT sensors
  • Auto-calibration of AI vision systems
  • Virtual calibration simulation in digital twins

Key Points

Calibration cycle management: Systematic calibration scheduling based on equipment characteristics and usage frequency is key to reducing defect rates. AI-based predictive models minimize production downtime from excessive calibration while ensuring measurement reliability.