Development Of An IoT Environmental Information System For Users Of GPS-Based Public Transport

The Internet-of-Things (IoT) brings a development potential to transform the communities into Smart Cities with the idea of incorporating data collection and services sharing. It brings a lot of benefits including lowering levels of pollution, real-time weatherforecasting, improving traffic, buildin...

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Bibliographic Details
Main Author: Mar, Hee Sheng
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2018
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Online Access:http://eprints.usm.my/53381/1/Development%20Of%20An%20IOT%20Environmental%20Information%20System%20For%20Users%20Of%20GPS-Based%20Public%20Transport_Mar%20Hee%20Sheng_E3_2018.pdf
http://eprints.usm.my/53381/
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Summary:The Internet-of-Things (IoT) brings a development potential to transform the communities into Smart Cities with the idea of incorporating data collection and services sharing. It brings a lot of benefits including lowering levels of pollution, real-time weatherforecasting, improving traffic, building up energy efficiency, and a better overall quality of life for the future citizen. This research work proposes a mobile environmental sensing platform for city information collection and condition monitoring by feeding the data to a cloud computing system. To develop the system, the air quality sensor, temperature and humidity sensors and geolocation module are designed and interfaced with a Raspberry Pi 3. After that, environmental parameters are collected, stored in PhpMyadmin local database and uploaded to ThingSpeak cloud database in real-time. Then, the data are pre-processed and visualized graphically for further data analyses and monitoring. A prototype field test has been carried out to investigate proper working of the developed system using the conventional static sensing and new mobile sensing. It is found that there is a 6.93% difference between the static and mobile sensing method, which is rather small. Overall, the development of the IoT environmental information system by using mobile sensing has been a success and able to facilitate environmental sensing and monitoring.