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Edge Streaming Analytics | Optimize processes with real-time feedback

PdM, CBM, APM, xDT, Process Optimization with Edge Streaming Analytics (SAS)

Experts working along the value chain are nowadays confronted with high productivity and decision-making pressure. Machine operators need real-time feedback for anomaly detection to support decisions that can affect line availability, product quality, and therefore product throughput. Subject matter experts need a way to implement their analytic concepts to drive line improvements by flexible data connection and predictive modeling. Fleet engineers, who need to understand similar machines across a large fleet, leverage learnings to improve performance and provide feedback to machine designers.

Edge Streaming Analytics provides users with a cloud-based UI for project creation and management. Its built-in analytics with drag & drop programming and low latency analytic execution on edge devices of choice enables process optimization.

The solution helps to reduce downtime in production up to 70% and allows a reduction of up to 25% in repair time as well as up to 10% in maintenance costs. All this with a closed-loop development of analytics from MindSphere to Open Edge.

  • Technical Requirements


    • Access to data sources/streams in standard industry protocols 
    • Edge device such as Siemens IPC or equivalent with a 64-bit processor and 2GB RAM minimum
    • Subject matter experts use an intuitive drag & drop interface and data scientists may use programming interfaces
    • Online & in-person training options as well as documentation are available


  • Implementation Outline

    • Confirmation of business value with help of Use Case Screening and Data Readiness Check as well as Proof of Value
    • The implementation takes place after Edge and Cloud connection testing and application refinement with tailored interface for operators
    • After the initial use of the solution first experiences are evaluated, outputs and interfaces are verified and the business benefit is stated
    • To ensure effective use of the application regular cadence is monitored
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