Fire warning system with wireless sensor networks
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Abstract (EN)
In this study, early warning system that aims detecting forest fires using Wireless Sensor Networks has been founded. Nowadays it can be possible to install quite large Wireless Sensor Networks as they have low energy consumption and cost. This situation has allowed tracking environmental issues which influence wide geographical regions. The structure of the applied system includes lots of randomly distributed wireless sensor nodes which contain microcontroller and temperature sensors. First of all in this system, the environment temperature has been measured periodically by wireless sensor nodes which contain temperature sensors. After the environment parameters have been measured by sensors, they have been converted to digital data in microprocessor, and afterwards these digital environment data together with location and time information which taken by GPS module build data packages. These data packages have been sent to the gateway which has a direct connection to the computer by using wireless communication protocol ZigBee. The data of environment temperature, location and time information, sent by the gateway, are visualized by software program. The information also has been stored on a database in the computer. Moreover, GSM/GPRS module in the sensor node sends a warning SMS to a particular GSM number if critical situation or alarming situation occurs. This situation provides an alternative notification channel in case there is a failure in ZigBee wireless communication. Furthermore, whole processes of the hardware platform of warning and observation from its design, implementation to final product are completely done throughout the research. LCD in this platform illustrates the environment temperature and accurate coordinates of the sensor node, so another alternative notification channel addition to software in the computer has been found.
Author
Murat Yazar
Institution
How to Cite
Murat Yazar (Master Thesis). Fire warning system with wireless sensor networks, 2015, Yıldız Technical University.
License
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