Production Optimization Monitoring System Implementing Artificial Intelligence and Big Data
Alessandro Massaro, Sergio Selicato, Roberto Miraglia, Antonio Panarese, Angelo Calicchio, Angelo Galiano
Abstract
The proposed work describes an architecture able to optimize production supporting wheat transformation processes, developed within the framework of an industry research project. The architecture is designed in order to integrate and enable different systems and technologies including big data systems and artificial intelligence algorithms. Preliminary results about detected field data and data flow implementation are discussed. A particular attention is focused on predictive maintenance of production machines by infrared thermography imaging and accelerometer signal processing.
Topics & Concepts
Computer scienceBig dataField (mathematics)ArchitectureArtificial intelligenceProduction (economics)Transformation (genetics)Systems engineeringData scienceMachine learningData miningEngineeringMathematicsEconomicsBiochemistryGeneChemistryVisual artsPure mathematicsMacroeconomicsArtSpectroscopy and Chemometric AnalysesSmart Agriculture and AICurrency Recognition and Detection