If you are curious about IoT and how to get started, I recommend you to create an Azure account (You’ll get a 30 day trial with $200 free credit) and head over to the Azure IoT portal. This will let you deploy two different IoT demo solutions for you to explore. I’ll guide you through it.
When you sign in you will be met with this screen:
The Azure IoT suite lets us create two demo solutions:
This is used mainly to predict equipment failures before they actually happens and prevent them. Predictive Maintenance uses streaming data from sensors and devices to recognize warning signs, predict when equipment needs maintenance, and preemptively service that equipment before costly repairs are needed. You can also include data from a variety of sources like weather data to see if that has some correlation with devices breaking down.
Remote monitoring solutions streams realtime data to the user to get an overview on how the machines/devices are performing. You can use the data to trigger automatic alerts and operational actions based on current conditions, such as remote diagnostics and maintenance requests.
To get started click on the Create new solution tile and select the project that you want. In my example I’m going to create a Predictive Maintenance solution.
I have to give the solution a name, select my subscription (Try for free, or if you already have credits in an other subscription you can use that one. Remember that this will cost you some credits so remember to turn the solution off when you are done using it) and select my region:
Azure will then start deploying the solution. We will have to wait some minutes for it to finish:
Once your solution is ready hit “Launch”. So in this demo we will have a look at engines on an airplane with different sensors (We have to start the simulation to get data).
The dashboard will show us four different line charts with some streaming sensor data for both of the engines compared to eachother. We also get information about the number of cycles and how many remaining useful life cycles for both engines. After a while it will display a warning symbol on one of the engines, which in a real life scenario will give information to the airline company that something is wrong or that there has to be done some maintenance soon.
Really cool! This gives us a great overview of some of the possibilites within the Azure IoT suite portal. I also recommend deploying the Remote Monitoring soultion if you want to have a closer look at streaming sensor data.
Visit this page for more information about Microsoft Azure IoT! If you are interested in using your Raspberry PI as an IoT device I recommend going through my guide on how to stream data to Power BI or follow Microsoft’s guide on using a Raspberry Pi to stream data to Azure IoT (I will create a post about this as soon as I recieve my new sensor).
Any questions or comments, send me an email or use the comment section below.