Enabling Predictive Maintenance in Machine Tools through Data Space Technology
General Information
Challenge, Value & Description
Performance, Access & Contact
1 – General Information
Partners
Sectors addressed
Application categories covered
Lifecycle level covered
Digital Engineering
Planning & Commissioning
Smart Production & Operations
Smart Maintenance
Customer Service
Circularity
Fillstraße 1, 4942 Gurten, Austria
Geographical Scope
- Europe
- DACH (Germany, Austria, Switzerland)
2 – Challenge, Value & Description
Challenge
By analyzing machine data, algorithms can be developed for the predictive maintenance of individual machine components. This requires a secure and reliable exchange of data between the machine operator and the machine manufacturer. With the technologies currently in use, this is either not possible or only possible to a limited extent
Value
Data space technology enables secure and sovereign data exchange across company boundaries. This facilitates the development of smart software products aimed at improving service performance. As a result, productivity is increased and, in particular, maintenance costs are reduced.
Description
As part of the pilot, machine- and component-related data from CNC machines, along with part quality data generated by a coordinate measuring machine, will be exchanged. This data exchange enables the development of new services for predictive maintenance and improved component quality.
Data Value Chain Description
Infraestructure Elements
- Private Cloud
- PLC / Industrial PC
3 – Performance, Access & Contact Info
Performance
By using EDC connectors, secure gateways to a company’s data infrastructure are established. This enables the significant advantage of cross-company data processing. Work is currently underway to improve the interoperability of the exchanged data.