1st Edition

Process Imaging For Automatic Control

Edited By David M. Scott, Hugh McCann Copyright 2005
    439 Pages 278 B/W Illustrations
    by CRC Press

    As industrial processes and their corresponding control models increase in complexity, the data provided by traditional point sensors is no longer adequate to ensure product quality and cost-effective operation. Process Imaging for Automatic Control demonstrates how in-process imaging technologies surpass the limitations of traditional monitoring systems by providing real-time multidimensional measurement and control data. Combined with suitable data extraction and control schemes, such systems can optimize the performance of a wide variety of industrial processes.

    Contributed by leading international experts, Process Imaging for Automatic Control offers authoritative, comprehensive coverage of this new area of process control technology, including:

  • Basic goals of process modeling and their application to automatic control
  • Direct imaging devices and applications, such as machine vision and spatial measurement of flow velocity, pressure, shear, pH, and temperature
  • Various techniques, hardware implementations, and image reconstruction methods for process tomography
  • Image enhancement and restoration
  • State estimation methods
  • State space control system models, control strategies, and implementation issues
  • Five chapters devoted to case studies and advanced applications

    From theory to practical implementation, this book is the first to treat the entire range of imaging techniques and their application to process control. Supplying broad coverage with more than 270 illustrations and nearly 700 cited references, it presents an accessible introduction to this rapidly growing, interdisciplinary technology.
  • Contributors
    Preface
    THE CHALLENGE
    D.M. Scott and H. McCann
    Motivation
    Roadmap
    Vista
    PROCESS MODELING
    P. Linke, A. Kokossis, J.U. Repke, and G. Wozny
    Introduction
    Simulation Versus Optimization
    Process Models for Imaging and Analysis
    Process Modeling for Design, Control, and Diagnostics
    References
    DIRECT IMAGING TECHNOLOGY
    S. Someya and M. Takei
    Introduction
    Light Sources
    Sensors
    Optical Components
    Applications
    Machine Vision
    References
    PROCESS TOMOGRAPHY
    B.S. Hoyle, H. McCann, and D.M. Scott
    Introduction
    Tomographic Sensor Modalities
    Image Reconstruction
    Current Tomography Systems
    Applications
    References
    IMAGE PROCESSING AND FEATURE EXTRACTION
    D. Zhao
    Introduction
    Image Enhancement
    Image Restoration
    Segmentation
    Feature Representation
    Morphological Image Processing and Analysis
    References
    STATE ESTIMATION
    J. Kaipio, S. Duncan, E. Somersalo, A. Seppänen, and A. Voutilainen
    Introduction
    Real-Time Recursive Estimation: Kalman Predictors and Filters
    On-Line and Transient Estimation: Smoothers
    Nonlinear and Non-Gaussian State Estimation
    Partially Unknown Models: Parameter Estimation
    Further Topics
    Observation and Evolution Models in Process Industry
    Example: Convection-Diffusion Models
    References
    CONTROL SYSTEMS
    S. Duncan, J. Kaipio, A. Ruuskanen, M. Malinen, and A. Seppänen
    Introduction
    Modeling the Process
    Feedback Control
    Control Design
    Practicalities of Implementing Controllers
    Conclusion
    References
    IMAGING DIAGNOSTICS FOR COMBUSTION CONTROL
    V. Sick and H. McCann
    Introduction
    Combustor Types
    Imaging in Combustors
    Results from Combustion Imaging
    Conclusions
    References
    MULTIPHASE FLOW MEASUREMENTS
    T. Dyakowski and A.J. Jaworski
    Introduction
    Flow Pattern Recognition
    Flow Pattern Imaging
    Solids Mass Flow Measurements
    References
    APPLICATIONS IN THE CHEMICAL PROCESS INDUSTRY
    D.M. Scott
    Introduction
    Applications Related to Process Control
    Applications Related to Process/Product R&D
    Conclusion
    Reference
    MINERAL AND MATERIAL PROCESSING
    R.A. Williams
    Motivation for Development of Image-Based Techniques
    Design of Comminution Equipment
    Granular Flow and Bulk Transportation
    Particle Classification in Cyclones
    Performance of Flotation Cells and Columns
    Solids Settling and Water Recovery
    Microscale Analysis of Granules, Flocs, and Sediments
    Concluding Remarks
    References
    APPLICATIONS IN THE METALS PRODUCTION INDUSTRY
    J.A. Coveney, N. Gray, and A.K. Kyllo
    Introduction
    Detection of Slag Entrainment
    Measurement of Furnace Refractory Wear
    Flow Measurement
    Imaging of Solid State Phase Change
    Conclusion
    References
    INDEX

    Biography

    David M. Scott, Hugh McCann