Cloud Communication Channel for Thermal Cameras
Bolaños Rodríguez, Álvaro (2017)
Metropolia Ammattikorkeakoulu
2017
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201705107549
https://urn.fi/URN:NBN:fi:amk-201705107549
Tiivistelmä
The objective of this project was to develop an effective bidirectional communication system for thermal sensors from the company LeViteZer using an IoT approach and connecting them through cloud services and mobile networks provided by the Nokia Innovation Platform.
In the project different methods are described to build his communication channel from a full stack point of view. The methods are grouped on different sides depending on the point of view of each element of the communication channel which are sensor, server and client side. The described sensor-side methods are different pieces of hardware to connect the sensor to the network: an Android smartphone used as a gateway, an LTE module and a Raspberry Pi with a LTE dongle. The server-side methods are different languages and frameworks to control how clients and sensor are connected to the cloud through a web API. The client-side methods are different ways to interpret the data which comes from the cloud and therefore the sensors. There is also description about other methods for testing, cloud, control version and document preparation system.
The outcome of this project was a set of pieces of applications to make the communication system using the best fitted methods for it. On the sensor-side were used a Raspberry Pi to read the sensor using Python alongside systemd services to keep the data flowing from the sensors to the network. On the server-side a Node.js application orchestrates how clients and sensors are connected. On the client-side Python and Android was used to make client applications.
This communication system as the date of the publication of this thesis was tested and met the expectations. It is being used on the Nokia Innovation Platform for further research.
In the project different methods are described to build his communication channel from a full stack point of view. The methods are grouped on different sides depending on the point of view of each element of the communication channel which are sensor, server and client side. The described sensor-side methods are different pieces of hardware to connect the sensor to the network: an Android smartphone used as a gateway, an LTE module and a Raspberry Pi with a LTE dongle. The server-side methods are different languages and frameworks to control how clients and sensor are connected to the cloud through a web API. The client-side methods are different ways to interpret the data which comes from the cloud and therefore the sensors. There is also description about other methods for testing, cloud, control version and document preparation system.
The outcome of this project was a set of pieces of applications to make the communication system using the best fitted methods for it. On the sensor-side were used a Raspberry Pi to read the sensor using Python alongside systemd services to keep the data flowing from the sensors to the network. On the server-side a Node.js application orchestrates how clients and sensors are connected. On the client-side Python and Android was used to make client applications.
This communication system as the date of the publication of this thesis was tested and met the expectations. It is being used on the Nokia Innovation Platform for further research.