| dc.description |
The existing systems normally used to monitor the industrial environmental condition in factories
in Kenya are mostly wired systems and more expensive. Despite the benefits of tools and
emerging technology, most companies do not use automated systems due to the high installation
and maintenance costs and a lack of formal early-warning mechanism.
This research project intends to provide information using wireless sensor technology, which
comprises of sensors, Zigbee, raspberry pi, Arduino Uno, and wireless sensor network (WSN).
The system is developed using open-source hardware raspberry pi and Zigbee which proves to be
cost-effective and has low power consumption. The sensors will collect the data of various
environmental parameters and transmit it to the raspberry pi, which acts as a base station. The
raspberry pi will then transmit the data using Zigbee, and the processed data displayed on GUI
through the Zigbee on the receiver end.
The database was developed using MYSQL DB and the web application written in the PHP
programming language. In addidtion, the system is integrated with Zigbee technology to send
SMS and e-mail notifications to the respective registered users.
The developed system was tested at different plant areas to detect the concentration of Carbon
monoxide, temperature, humidity, and dust in the factory. The result shows that the system
responds positively when these parameters were detected and sends notification alerts via e-mail
and SMS. Finally, the data collected can be used for further data analysis and research in the
future. |
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