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Real time implementation of physical intelligent sensors

Posted on:2007-01-12Degree:M.SType:Thesis
University:Southern Illinois University at CarbondaleCandidate:Padmanaban, HaricharanFull Text:PDF
GTID:2458390005482324Subject:Engineering
Abstract/Summary:
A Physical Intelligent Sensor (PIS) has been developed that detects the events occurring in real time data. This is a part of a project undertaken at NASA's Stennis Space Center (SSC) to build an integrated framework for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands at SSC, but is also generally applicable to the Integrated System Health Management (ISHM) vision, which assists the development of intelligent sensors as part of an integrated systems approach, i.e. one treats the sensor as a complete system. This thesis work deals with the development of the Physical Intelligent Sensors (PIS) implemented with event detection routines and obtained from Glenn Research Center (GRC) and previous work called DATA-SIMLAMT (Dynamic Across Time Autonomous---Sensing, Interpretation, Model Learning and Maintenance Theory). For this work a traditional temperature sensor is converted into a Smart Networked Temperature Sensor (SNTS) for monitoring the temperature of the liquid oxygen tank on the SSC rocket test stand. A K-type thermocouple with a sigma-delta analog to digital converter (ADC) AD7794 is used to measure the temperature. This ADC is integrated with a Z-world's rabbit microprocessor "RCM3300" to make it intelligent. The temperature readings are collected in the flash memory of the microprocessor and the event detection routines are embedded in the microprocessor. The event detection routines are capable of detecting anomalies (flat, noise, spike, drift, level shift) in the acquired data, and if an anomaly is detected it is reported to the local monitoring system. Hence the output of the PIS is data coupled with a confidence factor in the reliability of the data.;The PIS is connected to a remote so that the PIS can send data and health information to the PC. This connected has been established using Transmission Control Protocol/Internet Protocol (TCP/IP). The smart sensor implementation coupled with the connection protocols is the major contribution of this thesis work.
Keywords/Search Tags:Sensor, Physical intelligent, PIS, Time, Event detection routines, Data, Smart, Work
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