Cyber Resilience Act and IoT products
What the CRA means for IoT and industrial device manufacturers: security by design, vulnerability handling, updates and reporting obligations.
Read article →Actionable knowledge for energy, IoT and operational decisions.
They are not technological buzzwords, but decision aspects, implementation models and practical questions.
NIS2 and IEC 62443 in OT
What do NIS2 and IEC 62443 mean for operational systems? Accountability, risk management, segmentation, remote access and supplier security.
Read article →Industrial AI is not a chatbot
Anomaly detection, forecasting, optimisation and decision support: the value of industrial AI comes from models working quietly within physical constraints.
Read article →Predictive maintenance does not start with AI
Part 6 of the OT knowledge series: failure modes, sensors, sampling, data quality and operating context – machine learning comes only after that.
Read article →Edge or cloud? In industry, the wrong question
What should be processed locally at the edge, and what belongs in a central or cloud environment? Practical decision criteria for industrial IoT systems.
Read article →A dashboard is not digitalisation
Why displaying data on charts is not enough – and how a measurement becomes an event, an owned action, feedback and a business result.
Read article →From sensor to business system
The complete industrial data path from the measurement point through the gateway, MQTT, processing and databases to the business process.
Read article →Why separate IT and OT networks?
Flat networks, VLANs, zones and controlled connections: why office laptops and PLCs should not share the same network.
Read article →What is an OT network, and why does it matter?
IT–OT convergence, industrial gateways, network segmentation, IEC 62443 and the path from a physical measurement point to a business process.
Read article →The business value of energy monitoring
When does the consumption curve become a real decision-making tool? Baseline, comparison, alert and savings check.
Read article →Predictive maintenance: what makes it more than an alarm?
Status data is useful when associated with a device, failure mode, and actionable maintenance process.
Read article →IIoT and SCADA: not necessarily either-or
The control role of SCADA and the scalable data, integration and analysis layer of IIoT solve different problems.
Read article →IoT: from device to business process
Sensor, connection, device identity, data quality, evaluation and intervention — the entire chain in a nutshell.
Read article →EV charging: from connection to billable service
Standard charging connection, identification, measurement, offline operation and business integration in one controllable process.
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OrigSmart
Decision support, not generic SEO copy
Each article examines a practical technical or operational decision: when an IoT layer is justified, how IIoT and SCADA complement each other, what creates business value from energy data, and when an alert becomes a real maintenance process. Readers receive useful checkpoints before contacting us.
Measured facts, design assumptions and business conclusions are kept separate. Examples are not automatic savings promises or universal compliance requirements; the actual system design follows from the site, data-source and responsibility assessment.
Before proceeding, record what is already known, which data is missing, what decision must be supported and who will own the result. This prevents device procurement from preceding the operational objective and avoids an attractive interface being built on unverified data or unresolved responsibility.