IoT with the Raspberry Pi – Final application – Part 3

In our final application, we have put together a solution consisting of four different modules. First, we have again the Raspberry Pi which raises and sends the sensor data using the already presented Python script. We changed the transfer protocol in the final application to MQTT, which gives us more possibilities in different aspects, but more on that later.
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IoT with the Raspberry Pi – Node RED – Part 2

As already stated in the introduction to our project, we decided to create a Cloud Foundry-Application in IBM Bluemix. We used the boilerplate called “Internet of Things Platform Starter”. Using this boilerplate Node Red is deployed initially.

Node Red is a software tool for graphical dataflow programming. It was developed by IBM and is open source since 2016. Providing a browser-based flow editor it enables to wire together hardware devices, APIs and online services.
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IoT with the Raspberry Pi – Part 1

Introduction to the project

As part of the lecture “Software Development for Cloud Computing” in summer term 2017 we primarily wanted to work on a project that has something to do with the Internet of Things. In more detail we decided to measure air quality using a Raspberry Pi with the MQ135 Gas sensor and send this data to our self-built cloud application to analyze it.

We started out by getting IBM Bluemix student accounts. Playing around with different Bluemix Services we found the IBM Watson IoT Platform which can display data you can send to it from other devices out of the box. Despite displaying the data in charts it is also possible to create rules and send alerts based on them and to authorize other Bluemixusers to manage your devices as well.
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