Technical articles for industrial IT and OT teams
74 articles on OEE, Modbus, OPC UA and MQTT, OT security, industrial data, edge computing and IT/OT project planning.
8 articles · data
Time synchronization for industrial data: NTP, PTP and timestamp discipline
Why timestamps decide whether data can be trusted, where NTP is enough, when PTP is worth the effort, and how to choose a single time source and timestamp convention.
Process unit conversion pitfalls: gauge vs absolute, normal vs standard volume
The conversions that cause real mistakes in process data: gauge versus absolute pressure, temperature offsets, volumetric versus mass flow, and normal versus standard cubic meters.
Reading a sensor CSV: outliers, drift and flatlines before analytics
A short routine for checking an exported sensor file: timestamps, missing samples, z-scores and outliers, drift and frozen values, and what to do before data reaches a dashboard or a model.
Sizing an IIoT data budget: sampling, deadband and retention
How tag count, sampling interval, payload size, overhead and retention combine into bandwidth and storage numbers, and how deadband and compression change them.
Size historian retention with a measured data budget
Estimate the data path, separate sampling from storage and validate compression before choosing capacity.
Write a data contract your automation and IT teams can both use
Define meaning, timing, quality and ownership so an industrial tag remains understandable outside its source system.
Check sensor data quality before building analytics
Use simple checks for completeness, range, timing and context before trusting a trend or training a model.
Wireless Sensor Networks in Harsh Industrial Environments
Heat, metal, vibration, and interference make factory wireless hard. How to design wireless sensor networks that survive real plants.
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