Telemetric data is all the data that is collected from the machines in your production set-up. Collecting data is a big and important step towards understanding your production better and improving its performance. You can learn more about that here. Today, we will look at the NEXT big step towards increasing your OEE, and that is the combination of looking at telemetric data and event data.
Let’s begin by examining the difference between telemetric data and event data. Imagine an ocean. Telemetric data is all the water in the ocean. It’s an endless mass of information that you can look at, but which is hard to navigate in because of its sheer size and complexity. As mentioned above, telemetric data is all the data available from your production set-up. It is highly valuable, and everything you need to know is there, but it is hard to use the information, because it floats around without any navigation points. It can be information about how hot something is at a particular moment or how much power something is using, for instance. Now let’s look at events. Events are the navigational seamarks you need on the ocean to find out where you are. They are the orange buoys floating around so you can see them and anchored to the bottom, so they don’t move. An event is the message that at a particular time, something became hotter than the limit you’ve set or that at a particular time, something started using more power than you want it to. Events give you access to look at an exact spot where something has occurred in the ocean of data and the exact time it occurred at. And they allow you to investigate in depth what exactly led up to a particular event.
Just like an ocean without navigation marks is hard to navigate, a navigation mark without an ocean makes very little sense. Telemetric data and event data work in the same way. Your event information is not useful unless you use it to investigate the data stream around a particular event. And a data stream becomes much more valuable if you look at it through the lens of events. Let’s say your production flatlines for ten minutes. No new products come through the machine. Your sea of data will give you a vast amount of information about various KPI’s all over the machine, but you need to navigate the order of events to understand why the production stopped. If you have the right software, you can both understand when something happened and where It happened – and that will give you the key to why it happened.
Once you’ve understood which chain of events led to your production stop, you can now create a new rule for your data surveillance: The next time a particular series of events happen in a particular order, you can ask to be notified right away. Or – better yet – you will be notified if the data analysis predicts that there is a risk that this particular line of events is about to occur. This is where we get into predictive maintenance – a highly interesting field with a lot of potential.
Please contact us to find out more about how data collection and data analysis can help your business perform even better. We are eager to tell you about our software solution called CATCH.AI which can help improve your OEE drastically.
CIM makes end-to-end software solutions that enable our customers to make business-critical decisions based on solid data. We create the necessary connections between data acquisition, data analyses, and data presentation so our customers can efficiently and consistently create products of superior quality – and make decisions based on true insights.