A smart transducer is the integration of an analog or digital sensor plus an embedded system including a mixed-signal conditioning and data conversion unit, an application processor with associated software for digital signal processing and data fusion, calibration and diagnostics, and a communication controller. The latter passes the measured or calculated parameters to a host or monitoring system in a network by means of a network communication protocol [1–3]. To address the need for standardized interfaces and architectures for networked transducers, this work illustrates in Sect. 5.2 the architecture of a system of networked transducers and reviews the emerging IEEE 1451 family of standards. In Sect. 5.3 an appli- cation case study is proposed: a safety system based on hydrogen/methane sensors to monitor the gas leak in multi-fuel and zero emissions vehicles. Section 5.4 deals with sensor selection, modelling and compensation through data fusion. Section 5.5 presents the design of the mixed-signal embedded system for intelligent sensor interface and data fusion and show experimental results. Conclusions are drawn in Sect. 5.6.
IEEE 1451 Sensor Interfacing and Data Fusion in Embedded Systems
SAPONARA, SERGIO;FANUCCI, LUCA;NERI, BRUNO
2011-01-01
Abstract
A smart transducer is the integration of an analog or digital sensor plus an embedded system including a mixed-signal conditioning and data conversion unit, an application processor with associated software for digital signal processing and data fusion, calibration and diagnostics, and a communication controller. The latter passes the measured or calculated parameters to a host or monitoring system in a network by means of a network communication protocol [1–3]. To address the need for standardized interfaces and architectures for networked transducers, this work illustrates in Sect. 5.2 the architecture of a system of networked transducers and reviews the emerging IEEE 1451 family of standards. In Sect. 5.3 an appli- cation case study is proposed: a safety system based on hydrogen/methane sensors to monitor the gas leak in multi-fuel and zero emissions vehicles. Section 5.4 deals with sensor selection, modelling and compensation through data fusion. Section 5.5 presents the design of the mixed-signal embedded system for intelligent sensor interface and data fusion and show experimental results. Conclusions are drawn in Sect. 5.6.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
