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:

ContributorsPrefaceTHE CHALLENGED.M. Scott and H. McCannMotivationRoadmapVistaPROCESS MODELINGP. Linke, A. Kokossis, J.U. Repke, and G. WoznyIntroductionSimulation Versus OptimizationProcess Models for Imaging and AnalysisProcess Modeling for Design, Control, and DiagnosticsReferencesDIRECT IMAGING TECHNOLOGYS. Someya and M. TakeiIntroductionLight SourcesSensorsOptical ComponentsApplicationsMachine VisionReferencesPROCESS TOMOGRAPHYB.S. Hoyle, H. McCann, and D.M. ScottIntroductionTomographic Sensor ModalitiesImage ReconstructionCurrent Tomography SystemsApplicationsReferencesIMAGE PROCESSING AND FEATURE EXTRACTIOND. ZhaoIntroductionImage EnhancementImage RestorationSegmentationFeature RepresentationMorphological Image Processing and AnalysisReferencesSTATE ESTIMATIONJ. Kaipio, S. Duncan, E. Somersalo, A. Seppänen, and A. VoutilainenIntroductionReal-Time Recursive Estimation: Kalman Predictors and FiltersOn-Line and Transient Estimation: SmoothersNonlinear and Non-Gaussian State EstimationPartially Unknown Models: Parameter EstimationFurther TopicsObservation and Evolution Models in Process IndustryExample: Convection-Diffusion ModelsReferencesCONTROL SYSTEMSS. Duncan, J. Kaipio, A. Ruuskanen, M. Malinen, and A. SeppänenIntroductionModeling the ProcessFeedback ControlControl DesignPracticalities of Implementing ControllersConclusionReferencesIMAGING DIAGNOSTICS FOR COMBUSTION CONTROLV. Sick and H. McCannIntroductionCombustor TypesImaging in CombustorsResults from Combustion ImagingConclusionsReferencesMULTIPHASE FLOW MEASUREMENTST. Dyakowski and A.J. JaworskiIntroductionFlow Pattern RecognitionFlow Pattern ImagingSolids Mass Flow MeasurementsReferencesAPPLICATIONS IN THE CHEMICAL PROCESS INDUSTRYD.M. ScottIntroductionApplications Related to Process ControlApplications Related to Process/Product R&DConclusionReferenceMINERAL AND MATERIAL PROCESSINGR.A. WilliamsMotivation for Development of Image-Based TechniquesDesign of Comminution EquipmentGranular Flow and Bulk TransportationParticle Classification in CyclonesPerformance of Flotation Cells and ColumnsSolids Settling and Water RecoveryMicroscale Analysis of Granules, Flocs, and SedimentsConcluding RemarksReferencesAPPLICATIONS IN THE METALS PRODUCTION INDUSTRYJ.A. Coveney, N. Gray, and A.K. KylloIntroductionDetection of Slag EntrainmentMeasurement of Furnace Refractory WearFlow MeasurementImaging of Solid State Phase ChangeConclusionReferencesINDEX