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Proceedings Paper

Open architecture for intelligent multisensor integration in industrial applications
Author(s): Michael D. Naish; Elizabeth A. Croft
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Paper 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.

Paper Details

Date Published: 9 December 1997
PDF: 9 pages
Proc. SPIE 3203, Architectures, Networks, and Intelligent Systems for Manufacturing Integration, (9 December 1997); doi: 10.1117/12.294437
Show Author Affiliations
Michael D. Naish, Univ. of British Columbia (Canada)
Elizabeth A. Croft, Univ. of British Columbia (Canada)

Published in SPIE Proceedings Vol. 3203:
Architectures, Networks, and Intelligent Systems for Manufacturing Integration
Bhaskaran Gopalakrishnan; San Murugesan; Odo Struger; Gerfried Zeichen, Editor(s)

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