Illustrate the targeted use of IIoT

Synostik, an IT service provider from Oebisfelde, has recognized in the context of its mechanical engineering and chemical projects that the consistent integration of IIoT and AI functions in the industrial environment offers enormous potential. Unfortunately, these opportunities are not yet being exploited on a broad front in Germany and Europe.

The reason: users are often inhibited from starting corresponding projects due to the complexity of the topic, the flood of data and the need to ensure interoperability. The expert knowledge that needs to be integrated and the involvement of the workforce are also obstacles. "However, these challenges can be solved quickly with a simple approach: diagnostic design," explains Johannes Diedrich, Head of Industrial Projects at Synostik GmbH.

Today, industrial production companies can rely on state-of-the-art technologies to optimize their processes. The Industrial Internet of Things (IIoT) and artificial intelligence (AI) are of central importance here. Combined in a targeted manner, both approaches can help to significantly improve processes and minimize disruptions or downtimes, for example. This gives companies the opportunity to increase their competitiveness, drive technological development and, in particular, optimize production and business processes.
Selecting suitable IIoT and AI functions through diagnostic design

The challenges of integrating IIoT or AI functions into a company are considerable, but there are helpful methods that make it easier to get started. With its in-house development DiagnoseDesign, Synostik provides a technical process that uses the structured analysis of technical systems to provide a basis for determining which events can be identified by IIoT and AI and which algorithms can be automated in industrial processes. In this way, potentials and quick wins are quickly and individually identified through AI applications for the system under consideration. The first projects can be selected in such a way that they show initial success after a very short time and thus contribute to the general acceptance of AI in the company.
Graphical interface and identification of work packages

The DiagnoseDesigner software tool offers a graphical system display that enables an early and structured analysis of the system under consideration. Work packages are reliably identified so that IIoT and AI projects can be implemented efficiently. The tool reliably uncovers potential for process improvements and automation. In addition, all results data can be saved and used for follow-up projects.
Active involvement of employees

"With the help of DiagnoseDesign, the complexity of IIoT and AI becomes manageable. The necessary or already existing flood of data is reduced to the data that is actually required. In addition, obstacles to the interoperability of the data are identified and can thus be eliminated efficiently," says Johannes Diedrich. By securing the results, domain knowledge is also secured in the company in the long term and can also be made available to the customers themselves. Employees are actively involved in the processes, which significantly reduces staff reservations about new technologies.