Open architecture for intelligent multisensor integration in industrial applications

Michael D. Naish; Elizabeth A. Croft

doi:10.1117/12.294437

9 December 1997 Open architecture for intelligent multisensor integration in industrial applications

Michael D. Naish, Elizabeth A. Croft

Proceedings Volume 3203, Architectures, Networks, and Intelligent Systems for Manufacturing Integration; (1997) https://doi.org/10.1117/12.294437
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States

Abstract

An open architecture framework for intelligent multisensor integration in an industrial environment is being developed. This framework allows for the computational evaluation and understanding of sensor uncertainty and data validity through the comparison of sensor data in a common format. A logical sensor model is used to represent both real and abstract sensors within the architecture. This allows for the unobtrusive addition or replacement of sensors. All logical sensor outputs are accompanied by a corresponding confidence level. These confidences are used to dynamically allocate valid sensor readings for use by higher-level sensors. Sensory information is passed to an inference engine which uses user- selectable and adjustable fuzzy logic and/or neural network modules to provide the required decision making intelligence. This architecture may be applied to a broad range of industrial applications, especially those involving non- uniform product grading.

Citation Download Citation

Michael D. Naish and Elizabeth A. Croft "Open architecture for intelligent multisensor integration in industrial applications", Proc. SPIE 3203, Architectures, Networks, and Intelligent Systems for Manufacturing Integration, (9 December 1997); https://doi.org/10.1117/12.294437

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