Publications (9) View all
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Conference Proceeding: Industrial Process Model Integration Using a Blackboard Model within a Pan Stage Decision Support System
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ABSTRACT: This paper describes the critical features for information sharing and exchange between industrial pan stage process models within a knowledge based supervisory support system (KBSSS), for pan stage operations in a sugar mill. The innovation outlined underpins the integration of the industrial process models working cooperatively with a blackboard system to provide system forecasting of future pan stage operating conditions. The primary topic of this paper will be a description of the approach and how it supports information exchange during the forecast process undertaken by the pan stage industrial process models with a focus on: (1) design features, (2) implementation and (3) application to the prediction process.Network and System Security, 2009. NSS '09. Third International Conference on; 11/2009 -
Conference Proceeding: Pan stage steady state flow model for integration within a knowledge based supervisory support system
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ABSTRACT: This paper covers the development of a core industrial process model of an expert advisory system and its integration within a knowledge based supervisory support system (KBSSS) for the control and management of a sugar mill crystallization stage. The pan stage steady state flow model predicts the long term steady state flow rates and purities of process materials within the pan stage. The primary topic of this paper will be a description of the steady state flow model for the knowledge based supervisory support system. This paper will focus on: (1) design features, (2) implementation, and (3) results of the proposed model.Industrial Technology, 2009. ICIT 2009. IEEE International Conference on; 03/2009 -
Conference Proceeding: Dynamic allocation of predicted quantities to forecast intervals for pan stage supervisory support system process models
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ABSTRACT: This paper describes a critical feature for the industrial process models of an expert advisory system and their integration within a knowledge based supervisory support system (KBSSS) for advice on best practices and management of a sugar mill crystallization stage. This functionality works cooperatively to translate pan stage industrial process models, used during the forward prediction of pan stage operating conditions, to a time scale basis by dynamically allocating forecast processing quantities to predefined intervals over the prediction horizon. The innovative dynamic allocation procedure outlined underpins the prediction ability of the process models, acting in a backbone capacity, to establish forecasting capabilities for the system. The primary topic of this paper will be a description of the approach and how it supports the predictive modelling with focus on: (1) design features, (2) implementation and (3) application to the prediction of syrup quantities to the pan stage from cane receival and juice processing information.Industrial Technology, 2009. ICIT 2009. IEEE International Conference on; 03/2009 -
Conference Proceeding: Functional Characteristics and Proposed Deployment Infrastructure of an Industrial Decision Support System within a Sugar Mill Crystallisation Stage.
Third International Conference on Network and System Security, NSS 2009, Gold Coast, Queensland, Australia, October 19-21, 2009; 01/2009 -
Conference Proceeding: Industrial Process Model Integration Using a Blackboard Model within a Pan Stage Decision Support System.
Third International Conference on Network and System Security, NSS 2009, Gold Coast, Queensland, Australia, October 19-21, 2009; 01/2009
