Tackling IoT challenges
Setting up an IoT platform and collecting machine data involves a number of challenges. Consider, for example, the sheer volume of data, as well as its analysis and security. “The sensors on our machines generate enormous amounts of data. For every measurement, 40,000 data points are generated per sensor. All of this needs to be efficiently collected, processed and stored,” explains Steven. “That’s why, a few years ago, we started looking for a partner who could support us in developing such an IoT platform. In Savaco, we found the right partner for the job.”
Specifically, Savaco helped CNH set up an IoT platform based on Microsoft Azure. “All sensor data from the machine is sent to this platform for further processing,” explains Steven.
Wim Van Geem, Solution Architect at Savaco, explains how the platform works: ‘To send data from the machine to the cloud, we used Azure IoT technology. This allows us to run containers close to the machine at the edge. To then process the machine data in the cloud and make it available for analysis, we deployed Azure Databricks technology.’
The platform ensures that the machine data is delivered quickly, securely and accurately to the tester via a mobile app also developed by Savaco. “The data from the sensors is processed via the IoT platform into specific tasks. Through the app, the tester then knows what still needs to be done before the machine can be dispatched to the customer.” The data is then further processed by the R&D department within CNH. They use all this machine data to analyse whether there are any recurring issues that could be avoided in future production and even in terms of machine design.
Knowledge sharing as the basis for collaboration
In his collaboration with Savaco, Steven values the focus on knowledge-sharing, the proactive approach and the way consultant Wim listens. “Wim really tries to understand what we need and tailors his technology advice accordingly. For us, the speed and security of our data were crucial. After all, our tester needs to be able to receive feedback on the machine’s quality within minutes, whilst R&D works with the data over a longer term. Savaco took this into account right from the start. The choice of a cloud platform and Savaco’s agile way of working also have advantages: we are able to respond very quickly to changing circumstances or new ideas, to push updates to the machines, … Finally, I also see great added value in Savaco sharing their knowledge with us. After all, this provides the foundation from which we can then continue to build our IoT platform.”
Another aspect we particularly appreciated about our collaboration was that Savaco proactively came up with solutions to prevent us from running into certain limitations later on if we were to expand the system.
Steven Devos
Innovation Engineer, CNH
Industrial Internet of Things
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