Non-intrusive and secure lifetime operation monitor


  • IoT platforms improve efficient data streaming from operation and service of machine fleets. The machine life-cycle becomes transparent
  • Remote connections to machines inherit security and accessibility risks

streamwise solution

  • streamwise has developed a nonintrusive operation monitor “attached monitor” that detects basic machine operation patterns like start/stop or load based on emission signatures
  • This allows us to connect operation with fleet service data and developed a fleet service monitor
  • We establish nonintrusive fleet surveillance with machine learning algorithms to evaluate equivalent operation hours (EOH) and adapt service execution
  • Our service prediction models base on real fleet operation data and drives inventory and delivery execution
  • We apply our solution on Siemens Mindsphere and Microsoft Azure platforms