Operational intelligence, industrial IoT, predictive maintenance, and the realities of running sensors in production environments.
Business Case
Most downtime cost calculations stop at lost production hours. The actual economic impact of unplanned downtime is three to five times higher than the direct labor and production loss.
Technical
Inductive Automation Ignition is the most widely adopted SCADA platform in North American manufacturing. Here is how a read-only connection to an operational intelligence platform works.
Operations
Industrial facilities with thousands of active alarms are not better protected than facilities with fewer. Alarm flood is one of the leading contributors to serious process incidents.
Technical Deep Dive
OSIsoft PI and AVEVA are the industrial historian standard. InfluxDB and TimescaleDB are the modern alternative. The decision is not as simple as replacing one with the other.
Best Practices
Mean time between failures and mean time to repair are the core reliability metrics. Most plants calculate them wrong because their maintenance data has gaps. Here is how to fix that.
Market Analysis
Industry 4.0 frameworks describe an ideal transformation. Most mid-size manufacturers implement a much narrower version. Here is what actually gets done and why.
Analysis
The industrial maintenance market is full of AI-powered predictive maintenance claims. Most plants do not need a machine learning model. Here is what actually works.
Technical
Modbus is still running in 70% of industrial facilities built before 2010. Here is why that is not automatically a problem, and when it actually is.
Security
Read-only API access sounds safe. Your OT security team still has 12 questions. Here is how most of those conversations go, and what documents help move them forward.
Case Study
A bearing failure caused 38 hours of unplanned downtime. The sensor data was there the entire time. This is the story of how Relynk was built, and what that incident cost.