Development of an iot environmental information system for users of gps-based public transport
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Date
2018-06
Authors
Mar, Hee Sheng
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Abstract
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 weather
forecasting, 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.