Integrate The Things Stack with Microsoft Azure IoT

When

01/28/2021 4:00pm

Thursday 28 January 2021
07:00 am - 08:00 am PT

Add to Calendar 01/28/2021 4:00pm 01/28/2021 5:00pm Europe/Paris Integrate The Things Stack with Microsoft Azure IoT

In just a few years, connecting LoRaWAN devices has become almost too easy of a task: there is a plethora of network server implementations as well as public and private network operators to choose from for connecting your applications.

However, as collecting sensor data becomes easier and easier, one key challenge remains: how to make sure that said data does not end up in yet another silo, and instead becomes an integral part of your information system.

In this workshop, we will be following a step-by-step approach to go from zero, to having our own LoRaWAN Network Server — The Things Stack — running on Azure, effectively making data more easily and efficiently routable to enterprise systems also deployed in the cloud.

We will also learn how sensor data can be synchronized in real-time with a digital twin environment modeling a complete smart building environment.

Finally we will connect our digital twin “knowledge graph” to a Blender 3D model, therefore enabling rich, real-time, data visualization and interaction, all in less than 25 lines of code!

Part 1: Deploying The Things Stack on Azure.

Part 2: The Things Stack meets Digital Twins and real-time 3D visualization.

Supporting resources:

– https://blog.benjamin-cabe.com/2020/12/01/deploying-a-lorawan-network-server-on-azure

– https://github.com/kartben/thethingsstack-on-azure

– http://github.com/kartben/lorawan-adt-demo

– https://azure.microsoft.com/services/digital-twins

Friday 29 January 2021
01:00 am - 02:00 am CET

01/28/2021 04:00 pm

Add to Calendar Friday 29 January 2021 01:00 am Thursday 28 January 2021 02:00 am Europe/Paris Integrate The Things Stack with Microsoft Azure IoT

In just a few years, connecting LoRaWAN devices has become almost too easy of a task: there is a plethora of network server implementations as well as public and private network operators to choose from for connecting your applications.

However, as collecting sensor data becomes easier and easier, one key challenge remains: how to make sure that said data does not end up in yet another silo, and instead becomes an integral part of your information system.

In this workshop, we will be following a step-by-step approach to go from zero, to having our own LoRaWAN Network Server — The Things Stack — running on Azure, effectively making data more easily and efficiently routable to enterprise systems also deployed in the cloud.

We will also learn how sensor data can be synchronized in real-time with a digital twin environment modeling a complete smart building environment.

Finally we will connect our digital twin “knowledge graph” to a Blender 3D model, therefore enabling rich, real-time, data visualization and interaction, all in less than 25 lines of code!

Part 1: Deploying The Things Stack on Azure.

Part 2: The Things Stack meets Digital Twins and real-time 3D visualization.

Supporting resources:

– https://blog.benjamin-cabe.com/2020/12/01/deploying-a-lorawan-network-server-on-azure

– https://github.com/kartben/thethingsstack-on-azure

– http://github.com/kartben/lorawan-adt-demo

– https://azure.microsoft.com/services/digital-twins

In just a few years, connecting LoRaWAN devices has become almost too easy of a task: there is a plethora of network server implementations as well as public and private network operators to choose from for connecting your applications.

However, as collecting sensor data becomes easier and easier, one key challenge remains: how to make sure that said data does not end up in yet another silo, and instead becomes an integral part of your information system.

In this workshop, we will be following a step-by-step approach to go from zero, to having our own LoRaWAN Network Server — The Things Stack — running on Azure, effectively making data more easily and efficiently routable to enterprise systems also deployed in the cloud.

We will also learn how sensor data can be synchronized in real-time with a digital twin environment modeling a complete smart building environment.

Finally we will connect our digital twin “knowledge graph” to a Blender 3D model, therefore enabling rich, real-time, data visualization and interaction, all in less than 25 lines of code!

Part 1: Deploying The Things Stack on Azure.

Part 2: The Things Stack meets Digital Twins and real-time 3D visualization.

Supporting resources:

– https://blog.benjamin-cabe.com/2020/12/01/deploying-a-lorawan-network-server-on-azure

– https://github.com/kartben/thethingsstack-on-azure

– http://github.com/kartben/lorawan-adt-demo

– https://azure.microsoft.com/services/digital-twins

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