Wireless sensor network for monitoring swifts habitat/birdnest

Kee, Mee Lee. (2008) Wireless sensor network for monitoring swifts habitat/birdnest. [Final Year Project Report] (Unpublished)

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Abstract

Swift farms that resemble the natural habitat of cave for swifts breeding have been designed and growing very fast in Malaysia.The swiftlet farming industry has the potential to grow into a multi/million ringgit industry due to the industry’s relatively profitable risk/return profile as well as a continuously growing demand for edible birds nests by wealthy overseas countries. There is also a discernable world/wide trend pursued by international as well as homegrown pharmaceutical and herbal products companies in using edible birds’ nests as base materials for producing natural and organic health supplement products for local and overseas consumption. It is known that the ideal temperature for swifts breeding is between 27°C to 29°C. However, a real/time monitoring system has never been designed for a swift habitat. Temperature and humidity of the farms can only be monitored manually by entering the farms once in every four to six weeks. There has yet to be a monitoring system to monitor the essential natural requirements of a swiftlet farm which are the temperature, humidity and the light density being developed. There is also no remote controlling system for all the equipments in the swift farm. The equipments can only be turned on and off with a timer control or manually. With research and investigation of the technology of Wireless Sensor Network (WSN), this thesis suggests a solution to the problem. To fulfill the hardware design for this project, a sensor node (MTS400), IRIS and Micaz rad io transceivers and a USB interfaced gateway base station of Crossbow (Xbow) Technology WSN were employed. The Graphical User Interface (GUI) of thi s project is written in Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) along with Xbow Technology drivers provided by National Instrument.As a result, this monitoring system is able to read temperature and humidity data, present data read in both tables and waveform charts, display warning on the GUI and send a notification email whenever the temperature reading is out of spec, save all the monitoring data into a database, email the monitoring data to the system operator and owner, and the system can be remote accessed and controlled from anywhere through the internet using LogMeIn software. Finally, this research draws a conclusion that a WSN Monitoring System for Swift Habitat as a tool that enable the enhancement to the current swift farming industry in Sarawak had been successfully developed.

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