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Design and Implementation of a Digital Twin Platform for Integrated Management and Performance Optimization of Olefin Unit Cracking Furnaces Using Prescriptive Artificial Intelligence

Design and implementation of an AI-based digital twin platform for real-time monitoring, coke formation prediction, and combustion optimization of cracking furnaces in an olefin unit using machine vision and Industrial Internet of Things (IIoT) data.

Kangan Petro Refining Company2026
Overview
  1. 1

    The challenge

    Secure and uninterrupted integration with DCS/PLC systems, thermal imaging and monitoring at temperatures above 1,000°C, real-time processing of large-scale data, and management of noise and missing data in industrial environments.

  2. 2

    Our approach

    Use of an Edge AI Gateway, thermal imaging cameras equipped with 3.9 μm filters, advanced filtering techniques (Kalman filters and Autoencoders), and closed-loop prescriptive models with operator-in-the-loop validation.

  3. 3

    The result

    Deployment of a digital twin pilot for a single furnace, development of real-time thermal dashboards, followed by full-scale implementation across all furnaces, incorporating a prescriptive AI module for decoking scheduling and combustion optimization.

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Design and Implementation of a Digital Twin Platform for Integrated Management and Performance Optimization of Olefin Unit Cracking Furnaces Using Prescriptive Artificial Intelligence | Novaco