Üretim hattından kurumsal sistemlere: uygulama adımları, tasarım kararları ve devreye alma kontrolleri.
62 yazı · İngilizce arşiv yazıları EN ile işaretlidir.
When Wi-Fi is too short-range and cellular is too expensive, LoRaWAN fills the gap — connecting sensors across warehouses, yards, and remote sites at a fraction of the cost.
Every factory needs a historian — but the choice between enterprise platforms, SCADA-native solutions, and open-source time-series databases depends on your scale, budget, and team skills.
Energy is the third-largest cost in most manufacturing operations — and the least measured. A structured energy monitoring program typically reveals 15-25% savings opportunities that were invisible before.
You do not need to replace your Siemens S7-300 or Allen-Bradley SLC to get IIoT data. A lightweight MQTT gateway bridges legacy controllers to modern analytics without touching the control logic.
Alarm floods kill more productivity than equipment failures. A structured alarm management program following ISA-18.2 turns chaos into actionable intelligence.
Grafana is not just for DevOps anymore. When paired with the right time-series database and industrial data connectors, it becomes the most flexible and cost-effective monitoring platform for manufacturing environments.
Gartner predicts 80% of edge software will run in containers by 2028. Here is what containerization actually looks like on a factory floor — and the pitfalls nobody tells you about.
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.
Traditional SCADA systems require thick clients, Windows workstations, and painful upgrade cycles. Web-based SCADA changes the equation entirely — and it is already here.
OPC UA is replacing legacy protocols as the backbone of industrial interoperability. Here is what IT engineers need to know about adoption, security, and real-world integration patterns.
IT and OT have different languages, different priorities, and different risk tolerances. Sustainable digital transformation only happens when both sides build shared frameworks — not just shared networks.
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.
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