A blackboard application for process monitoring and supervision |
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| Affiliation: | 1. Department of Human Factors and Behavioral Neurobiology, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA;2. Center for Operator Performance, Dayton, OH, USA;1. Mary Kay O''Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843-3122, USA;2. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, USA;1. Department of Chemical Engineering, University of California, Davis, CA 95616, USA;2. MTA-PE Lendulet Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, 10 Egyetem str., Veszprém H-8200, Hungary;3. MOL Danube Refinery, 2 Olajmunkás str., Százhalombatta H-2443, Hungary |
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| Abstract: | This paper describes the architecture of a supervisory control and data-acquisition system. It works like an operator support tool by diagnosing malfunctions of a production process and inspecting the quality of the product. The system provides the operator in a plant with relevant process data and, at the same time, has to meet tough real-time requirements. The integration of intelligent alarm processing into a large supervisory control system will be described and techniques covering on-line processing of real-time data and intelligent alarm processing will be discussed. The system is based on a blackboard architecture which integrates a sequence of problem-solving methods and exhibits an incremental and opportunistic problem-solving style. |
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