Sensor Integration to Wireless Sensor Networks
Arvola, Jani (2010)
2010
Signaalinkäsittelyn ja tietoliikennetekniikan koulutusohjelma
Tieto- ja sähkötekniikan tiedekunta
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Hyväksymispäivämäärä
2010-12-08
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201012141386
https://urn.fi/URN:NBN:fi:tty-201012141386
Tiivistelmä
In computer world, plug-and-play is a commonplace. In general, the sensor manufacturers use various standard physical interfaces in their sensors but they are not compatible in measurement data transfer. IEEE 1451 and ISA-100 standardization is working on common interfaces for industrial applications. The lack of standards in the field of sensor manufacturer require each sensor to be integrated individually to a wireless sensor node.
This thesis presents the design of a sensor integration process for Tampere University of Technology Wireless Sensor Network (TUTWSN). The integration process eases the sensor integration, shortens the required time to integrate a sensor, and minimizes the frequency of errors and the presence of software bugs. The included documentation minimizes the loss of information in multi-partner projects. The integration process consists of five major phases: selecting a sensor, hardware integration testing, integration to a node, integration to a server infrastructure, and testing phases. The focus of this thesis is in the node and its embedded software.
The integration process is tested with five sensors which are integrated to TUTWSN. The sensors are: multipurpose standard industrial signal sensor, air velocity sensor, power meter sensor, radon sensor, and piezoelectric motion detector. Two of the sensors are using I2C interface, two are using analog-to-digital converter, and one is using interrupts.
Multipurpose standard industrial signal sensor required designing and calibrating the whole sensor and new software components on each level. Air velocity sensor needed a fitter sensor board for an existing transmitter and a new software application. Power meter sensor required designed and calibrating the sensor and a new software application. Piezoelectric motion detector required a new sensor and modification to motion detection application. Calibration is in all the cases done with an existing sensor and the designed sensor are calibrated according to it. The sensor integration takes less than two weeks time on average from selecting the sensor to adopted wireless sensor network. /Kir10
This thesis presents the design of a sensor integration process for Tampere University of Technology Wireless Sensor Network (TUTWSN). The integration process eases the sensor integration, shortens the required time to integrate a sensor, and minimizes the frequency of errors and the presence of software bugs. The included documentation minimizes the loss of information in multi-partner projects. The integration process consists of five major phases: selecting a sensor, hardware integration testing, integration to a node, integration to a server infrastructure, and testing phases. The focus of this thesis is in the node and its embedded software.
The integration process is tested with five sensors which are integrated to TUTWSN. The sensors are: multipurpose standard industrial signal sensor, air velocity sensor, power meter sensor, radon sensor, and piezoelectric motion detector. Two of the sensors are using I2C interface, two are using analog-to-digital converter, and one is using interrupts.
Multipurpose standard industrial signal sensor required designing and calibrating the whole sensor and new software components on each level. Air velocity sensor needed a fitter sensor board for an existing transmitter and a new software application. Power meter sensor required designed and calibrating the sensor and a new software application. Piezoelectric motion detector required a new sensor and modification to motion detection application. Calibration is in all the cases done with an existing sensor and the designed sensor are calibrated according to it. The sensor integration takes less than two weeks time on average from selecting the sensor to adopted wireless sensor network. /Kir10