Process Imaging For Automatic Control: 1st Edition (Hardback) book cover

Process Imaging For Automatic Control

1st Edition

Edited by David M. Scott, Hugh McCann

CRC Press

439 pages | 278 B/W Illus.

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Hardback: 9780824759209
pub: 2005-05-31
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Description

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.

  • Table of Contents

    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

    About the Series

    Electrical and Computer Engineering

    Learn more…

    Subject Categories

    BISAC Subject Codes/Headings:
    SCI013060
    SCIENCE / Chemistry / Industrial & Technical
    TEC007000
    TECHNOLOGY & ENGINEERING / Electrical
    TEC009060
    TECHNOLOGY & ENGINEERING / Industrial Engineering