Abstract
A novel approach to model generic intelligent sensors is presented. The degree of intelligence incorporated in the sensor is related to the following functional characteristics: (1) interpretation of sensed values using expressions that describe the sensed phenomenon, (2) estimation of future values or behaviors based on a history of data collected and an updated set of specifications describing the sensor's performance, and (3) learning of the sensor's own behavior and evolution, so it may update its ability to interpret and estimate, and always provide current, accurate and complete information. As sensors are physical objects, the object oriented paradigm is used to implement the model, Smalltalk/v is used as the object oriented environment. A structure for the model has been created and tested by instantiating simple versions of two intelligent sensors: a flowmeter and a frequency meter.
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