Sensor Platform for IoT Training
Dahal, Suman (2015)
Dahal, Suman
Metropolia Ammattikorkeakoulu
2015
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2015120218952
https://urn.fi/URN:NBN:fi:amk-2015120218952
Tiivistelmä
The goal of the project was to design and develop a sensor platform board which would be used to train new students on embedded programming. The students would be able to program the Pyboard and excess all its timer, serial buses and various other embedded topics. They would be able to learn the procedure and functionality of Internet of Things (IoT) and design a sensor platform that could be used in the greenhouse environment.
The board would use a microcontroller platform where all the sensors would be interfaced. The data manipulation, calibration and packet formation would take place in the microcontroller. Once the data was ready to be transmitted, it could be sent wirelessly through Bluetooth Low energy protocol which could be received by BLE client devices. The data received in the client device can be used to analyze environmental conditions and act accordingly remotely.
The goal of the project was achieved successfully. The sensor platform board is being used at Helsinki Metropolia University of Applied Sciences to train the students on IoT and embedded programming. The students are using the Python programming to get the reading from the sensors integrated on the sensor platform board. In addition to this, they are connecting additional sensors through the RJ12 ports and pin headers available on the board. The available sensors are mostly used to study the greenhouse environment.
The board would use a microcontroller platform where all the sensors would be interfaced. The data manipulation, calibration and packet formation would take place in the microcontroller. Once the data was ready to be transmitted, it could be sent wirelessly through Bluetooth Low energy protocol which could be received by BLE client devices. The data received in the client device can be used to analyze environmental conditions and act accordingly remotely.
The goal of the project was achieved successfully. The sensor platform board is being used at Helsinki Metropolia University of Applied Sciences to train the students on IoT and embedded programming. The students are using the Python programming to get the reading from the sensors integrated on the sensor platform board. In addition to this, they are connecting additional sensors through the RJ12 ports and pin headers available on the board. The available sensors are mostly used to study the greenhouse environment.