Secure data storage and service automation for cyber physical production systems through distributed ledger technologies

Research output: Contribution to journalResearch articleContributedpeer-review


  • Gordon Lemme - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Kilian Armin Nölscher - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Erhao Bei - , TUD Dresden University of Technology (Author)
  • Christian Hermeling - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Steffen Ihlenfeldt - , Chair of Machine Tools Development and Adaptive Controls, TUD Dresden University of Technology (Author)


In this paper, we use the blockchain technology to design a prototype to secure process data from a 3D-printer. Datastreams are gathered from various sources such as OPC UA servers and autonomous retrofit sensor nodes. This is followed by pre-processing for data reduction, storage in a data model, and the generation of a unique hash value over it. The hash values are stored in a blockchain using appropriate consensus methods, taking into account their temporal origin and production identification number. This also includes the context-related influence of sensor signals on the production process Restrictive access regulations using smart contracts make a partially or fully automated machine tool calibration possible. In this context, we show to realize a process partial or full automation through smart contracts. Physical machine tools and virtual simulations are integrated into the block-chain network to document the stability and performance.


Original languageEnglish
Pages (from-to)89-97
Number of pages9
JournalJournal of Machine Engineering
Issue number1
Publication statusPublished - 2021

External IDs

ORCID /0009-0000-4965-8303/work/153109302



  • Distributed ledger, Smart contract, Value networks