Industrial IoT: from field data to decisions
Understand the layers, limitations and acceptance criteria for a focused pilot.
Practical guides to understanding industrial data and asking the right questions.
20 articles
Understand the layers, limitations and acceptance criteria for a focused pilot.
A practical plan for sampling, timestamps, device load and missing records.
Broker, topics, QoS and reconnection: separate protocol guarantees from application duties.
Compare transport options through register maps, polling and field conditions.
Connect device polling and message distribution through a well-defined gateway.
Preserve meaning and quality from approved reads to the user's screen.
Start with user decisions, connection limits and failure behaviour.
Consider the sensor, wiring, input module and record quality together.
Plan placement, calibration, duration-based alarms and missing data handling.
From kW versus kWh to counter resets and fair consumption comparisons.
Begin with a state model, product context and dependable initial measurements.
Keep time intervals, reason codes and operator confirmation distinct.
Apply hysteresis, duration, priority and ownership to reduce alarm fatigue.
Build measurement quality, maintenance history and context before selecting a model.
Make roles, freshness, alarm context and uncertainty visible.
Clarify protocol bridging, local buffering and responsibilities at the edge.
Decisions about volume, outages, duplicates and secure access.
Connect a small scope to a meaningful operating question and measurable acceptance.
Calculate availability, performance and quality from a consistent event model.
Design command requests, field acceptance and verified physical outcomes separately.
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