Development of an iot environmental information system for users of gps-based public transport
dc.contributor.author | Mar, Hee Sheng | |
dc.date.accessioned | 2021-03-19T08:23:29Z | |
dc.date.available | 2021-03-19T08:23:29Z | |
dc.date.issued | 2018-06 | |
dc.description.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. | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/12348 | |
dc.language.iso | en | en_US |
dc.title | Development of an iot environmental information system for users of gps-based public transport | en_US |
dc.type | Other | en_US |
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