Mr Dietrich, how is Sick approaching the topic of digitalization?

Max Dietrich: Digitalization is only possible if data is collected and processed into information. Our sensors are the key to this. We are therefore working on generating concrete added value for operational processes from the data collected by the sensors. Decentralized intelligence is central to this: the provision of data in the cloud is important - especially when it comes to the comparability of data from different locations. For reasons such as integration costs and data security, we assume that the edge will become much more important in the future. We are therefore paying particular attention to carrying out many computing operations on the edge today.

Among other things, you are presenting the 'Smart Service Suite'. What exactly is that?

Max Dietrich: The name serves as a bracket for our portfolio, which includes Industry 4.0 solutions and supports our partners in the digitalization of their production. We implement this in four steps: First, of course, is the collection of data - via our app, for example. In the second step, the data is displayed in the digital maintenance manager, including the necessary documents such as maintenance and inspection reports. Live data is then visualized and evaluated, threshold values are defined and notifications are generated if the values are exceeded or not reached. We already have initial condition monitoring solutions for selected sensors. The final step is prediction, in which data is analyzed over a time axis and certain events are predicted thanks to intelligent algorithms. We will be showcasing solutions for all four steps at our stand.

How do users benefit?

Max Dietrich: We are making it easier to get started with the digitalization of production and Industry 4.0 applications. Even individual solutions that are suitable for the user lead to cost reductions and increased performance. By recording and visualizing the installed base, users gain a comprehensive and structured overview of their current sensor and machine status. This enables service requirements to be identified at an early stage. Condition monitoring reduces unplanned downtimes and service costs, as operating personnel can intervene in machine or system processes at an early stage. Combined with a prediction of the probability of failure of device components, the service life of critical components can also be extended.

Does Sick rely on cloud solutions?

Max Dietrich: We offer both off-premise and on-premise solutions to meet a wide range of customer requirements. This means that in addition to a solution in the Sick Cloud, integration into the customer network is also possible in principle.