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SVAIO TECH

Technology

From machine data to intelligence

Six layers between a signal on a machine and a decision somebody acts on. Every one of them is a place a project quietly fails, which is why they are named separately.

  1. Layer 01

    Sense

    What the machine already emits — a signal, a tag, a counter, a reading.

    • Sensors
    • PLCs
    • SCADA
    • Machine signals
  2. Layer 02

    Connect

    Getting those signals off the machine, in whatever protocol it speaks.

    • Industrial protocols
    • Gateways
    • APIs
    • Data integration
  3. Layer 03

    Process

    Filtering, aggregating and timestamping close to the source, before anything travels.

    • Edge computing
    • Data filtering
    • Data aggregation
    • Real-time processing
  4. Layer 04

    Analyze

    Finding what is abnormal, what it means, and what usually follows it.

    • AI / ML
    • Anomaly detection
    • Predictive analytics
    • Computer vision
  5. Layer 05

    Visualize

    Putting the result in front of the person who can act on it, and alerting when they should.

    • Dashboards
    • KPIs
    • Alerts
    • Reports
  6. Layer 06

    Act

    The point of the whole chain — a work order raised, a setting changed, a stop avoided.

    • Recommendations
    • Maintenance actions
    • Operational decisions
    • Automation

Deployment

Edge, cloud, on-premise or hybrid

Where the intelligence runs is your decision, and it is not one you make once and cannot revisit.

  • Edge

    Next to the machine, where latency is measured in milliseconds and the network is optional.

    • Real-time processing
    • Low latency
    • Local intelligence
    • Offline capability
  • Cloud

    One view across sites, and the room to analyse more history than an edge box can hold.

    • Centralized data
    • Multi-site visibility
    • Scalable analytics
    • Enterprise integration
  • On-Premise

    Inside your own perimeter, for the plants where operational data does not leave the site.

    • Data sovereignty
    • Existing IT infrastructure
    • Local deployment
    • Enterprise control
  • Hybrid

    The usual answer in practice — decisions at the edge, history and comparison above it.

    • Edge intelligence
    • On-premise systems
    • Cloud analytics
    • Flexible architecture

Which layer are you stuck at?

Most plants are further along than they think at Sense and Connect, and stop at Analyze because nobody owns the question the data was supposed to answer.