From the production line to business systems: implementation steps, design decisions and commissioning checks.
19 articles · Data & analytics
Unplanned downtime costs manufacturers billions every year. A well-designed vibration monitoring pipeline can detect bearing wear, misalignment, and imbalance weeks before failure — and it does not require a massive budget.
Raw industrial sensor data is messy. Before any ML model can deliver value, it needs to survive proper preprocessing. Here is the pipeline that actually works in the field.
Storing and querying industrial time-series data at the edge requires a different mindset than cloud-native architectures. Here is what works in practice.
Real-world patterns and pitfalls when using HighByte to normalize, contextualize, and route industrial data to multiple downstream systems.
How to build monitoring and alerting that spans both traditional IT systems and industrial control networks without drowning operators in irrelevant noise.
Design patterns for building robust, maintainable protocol gateways that translate between Modbus, OPC UA, MQTT, and REST without becoming unmanageable spaghetti.
How we deploy compact machine learning models directly on edge devices for real-time quality inspection, predictive maintenance, and anomaly detection — completely offline.
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