Development of an iot environmental information system for users of gps-based public transport

dc.contributor.authorMar, Hee Sheng
dc.date.accessioned2021-03-19T08:23:29Z
dc.date.available2021-03-19T08:23:29Z
dc.date.issued2018-06
dc.description.abstractThe 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.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/12348
dc.language.isoenen_US
dc.titleDevelopment of an iot environmental information system for users of gps-based public transporten_US
dc.typeOtheren_US
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