Whitepaper 1: Business Opportunities

Digitalization in production technology allows for efficient machine condition monitoring using sensors and IoT. Data analysis reduces costs by enabling precise maintenance planning and minimizing machine downtime. Collaborative condition monitoring promotes new business opportunities and enhances production processes through shared data and insights. One major obstacle in data sharing is the concern over data privacy and security, as companies are wary of exposing sensitive information to potential competitors. Additionally, the lack of standardized data formats and interoperability issues between different systems can significantly hinder effective data exchange.
The BMBF joint project “ProKInect”, which is one of 17 ProLern initiatives, aims to implement a manufacturer-independent condition monitoring system. The sub-goals include developing new collaborative business relationships that go beyond traditional bilateral partnerships, secure and trustworthy data exchange in protected data spaces, and the integration of expert and user knowledge into AI models. The project participants include TRUMPF, WITTENSTEIN, TVARIT, and the Fraunhofer LBF.
This whitepaper discusses the fundamental principles and objectives of collaborative condition monitoring. It also describes the concept and presents a specific case study.