Industrial Internet of Things – A working example
The Internet of Things (IoT) is a new buzzword that describes connecting consumer products from your thermostat to your smartwatch to the internet. These connected products allow you to set the temperature of your house to a comfortable level from your smartphone or track the number of steps you have taken over the past week.
The Industrial Internet of Things (IIoT), on the other hand, is focused on capturing data from existing industrial systems and new connected sensors then storing that data into the Cloud. The data is then analyzed via Machine Learning algorithms and displayed in a format that an end user can easily understand.
In this presentation, we will explore a working demonstration of a sample system that will capture data from wirelessly connect sensors. The data will then be sent to Microsoft Azure where it will be analyzed and presented back to the user in a graphical format. The following areas will be covered:
Capturing data via inexpensive sensors and controllers – Analyzing the protocols, configuration, reliability and expense. · Connecting the devices to the Cloud – We will provision and monitor the devices into Azure IoT Hub.
· Analyze and Present the Data – Walk through a sample of setting up Machine Learning and presenting that data back to the user using Power BI.
Presenter: Shawn Gwin
Shawn is a Software Systems Developer/Architect, Database Administrator, and Entrepreneur specializing in custom Windows, mobile and web based systems. He's particularly interested in new Microsoft base technologies and smartphone/tablet development. He also likes long walks on the beach.