End to End Data – From Sensors to PI: IoT and Fog Computing Lab at PI World 2018

Just one year ago, at the 2017 OSIsoft User Conference in San Francisco, we had long discussions and debates around the present and future of operational intelligence: thousands of new sensors and devices, petabytes of data generated every day, fragmented in an endless number of incompatible protocols and interfaces. Furthermore, new and old players want to provide their own, isolated service, leaving developers and end users with the [almost] insurmountable problem of putting all this stuff together and making it run in a smooth and cost-effective fashion. That was the time when the idea of an Open Edge Module, that then became FogLAMP , was conceived.

One year later, at PIWorld 2018 in San Francisco, we are able to demonstrate the result of twelve months of hard coding on this concept. We have worked on a thriving open source project to bring any data coming from new and old devices, sensors, actuators etc. into PI. This project is called FogLAMP (available on GitHub): free to learn, use, and adopt as every open source project is.

These are really exciting times, and for a good reason. PIWorld is a milestone for FogLAMP and a game changer for the whole Community involved in the development and implementation of IoT and IIoT projects. For the first time, industrial-grade solutions can combine decades of investments in existing infrastructure with new and innovative technologies.

We will talk about this and more at the FogLAMP Community booth, where you will be able to meet developers and contributors from OSIsoft, Dianomic Systems, software providers and hardware manufacturers.

We also have two talks, one on the features of FogLAMP (with a short demo) and one on Fog Computing architectures.

North/South and East/West components interaction in a Fog Computing Architecture.

Lab environment.

Last but not least, we will have a bit of fun with a game we have organized for you. We will run our RC trucks with the Raspberry PIs mounted on it, on a track where you can score points and race for the highest number of collected data in the room!