Smart Spectrometer for Distributed Fuzzy Control
Eric Benoit (LISTIC, Lamii), Laurent Foulloy (LISTIC)

TL;DR
This paper introduces a smart fuzzy spectrometer that performs local fuzzy color processing and communicates results via CAN network, enhancing industrial process control with intelligent sensor capabilities.
Contribution
It presents a novel solution for local fuzzy color measurement processing in sensors, integrating fuzzy logic with smart sensor technology for industrial applications.
Findings
Developed a smart fuzzy spectrometer prototype.
Demonstrated effective local fuzzy color processing.
Enabled remote fuzzy data transmission via CAN network.
Abstract
If the main use of colour measurement is the metrology, it is now possible to find industrial control applications which uses this information. Using colour in process control leads to specific problems where human perception has to be replaced by colour sensors. This paper relies on the fuzzy representation of colours that can be taken into account by fuzzy controllers. If smart sensors already include intelligent functionalities like signal processing, or configuration, only few of them include functionalities to elaborate the fuzzy representation of measurements. In this paper, we develop a solution where the numeric processing is performed locally by the sensor, and where fuzzy processing is exported towards another computing resource by means of the CAN network. This paper presents the concept and the application to a smart fuzzy spectrometer.
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Taxonomy
TopicsFuzzy Logic and Control Systems · Sensor Technology and Measurement Systems · Advanced Chemical Sensor Technologies
