David Sta. Cruz
Game Programmer
An IoT prototype system for environmental sustainability
Abstract: We present an Intel Edison and Raspberry Pi 3 based proof-of-concept Internet of Things (IoT) prototype to efficiently collect environmental data, to advance understanding of water quantity and quality research. By utilising the Intel Edison board and Raspberry Pi 3, we create an IoT prototype to remotely monitor important environment variables, including air temperature, light intensity, and water temperature, pH, and conductivity. Specifically, for Intel Edison, by leveraging water temperature sensor probe H377, low-voltage precision centigrade sensor probe TMP36, and light sensor SEN-9088, we have built a prototype IoT to collect water temperature, air temperature, and ambient light. For Raspberry Pi 3, we leverage EZO class pH and conductivity sensor probes from AtlasScientific and Raspbian Jessie. The collected readings are then calibrated and transmitted to a public channel from www.ThingSpeak.com, which facilitates data sharing with researchers. We further point out important future work to extend our proposed IoT full-fledged.
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I was co-author of this research article along with Cynthia Fu, Dr. Bo Sun, and Dr. Guang Sun. My contributions were to get the Raspberry Pi 3 to work with the pH and conductivity sensor probes, calibrating them to gather data accurately, and sending the data to an IoT. A sample code written in Python was available for the sensors to work and I edited them to make the sensors read and send data simultaneously to the IoT. The research article that we have written is titled "An IoT prototype system for environmental sustainability" and was published in the International Journal of Sensor Networks, Volume 28, No. 3.