The Smart CNC Machine Monitoring & Event Intelligence System is a plug-and-play Industrial IoT (IIoT) device that turns any existing CNC machine into a smart, connected asset. It captures power status, operator activity, cycle start/completion, production count, and cycle time as clean, structured events — transmitted securely over Wi-Fi (MQTT) to the cloud or an on-premises server — with no modification to the machine and no dependency on the OEM.
Manufacturers running CNC machines typically have no real-time visibility into machine utilisation, cycle times, or operator activity.
Production counts, downtime, and cycle times are recorded manually, hours after the fact.
Supervisors must walk the shop floor to know whether a machine is running or idle.
Without accurate timestamped data, OEE and performance analysis are guesswork, not fact.
Traditional monitoring retrofits usually require OEM involvement or invasive changes to the machine controller—costly and slow.
The Event Intelligence Unit sits alongside the CNC machine and reads its existing signals non-intrusively — nothing on the machine itself is modified. Rather than logging raw signal noise, it interprets machine behaviour into meaningful digital events (Power ON/OFF, Login/Logout, Cycle Start/Completion, Production Count, Cycle Time) and streams only those events to a central platform — ready for dashboards, ERP, and analytics from day one.
Power status and cycle start/completion are captured the instant they happen, not reconstructed at end-of-shift.
Every cycle and production count is logged with an exact timestamp, giving accurate data for OEE and throughput analysis.
Login/logout events are tied to each machine, giving clear operator accountability without paper logs.
Events transmit over Wi-Fi using MQTT—lightweight, reliable, and secure, with no new wiring required.
Only meaningful events are transmitted, not constant raw signal noise, keeping data clean and network load low.
Installs without machine modification or OEM involvement—live in hours, not weeks.
Data flows through the system in five stages:
Existing power, cycle, and counter signals are read directly from the machine, non-intrusively.
The on-machine Event Intelligence Unit interprets raw signals into structured, meaningful events.
Events are sent securely over standard Wi-Fi using the MQTT protocol.
A central cloud or on-premises server receives, stores, and processes every event.
Supervisors, operators, and ERP systems consume the data live through dashboards and mobile apps.
Data flows through the system in five stages:
Existing power, cycle, and counter signals are read directly from the machine, non-intrusively.
The on-machine Event Intelligence Unit interprets raw signals into structured, meaningful events.
Events are sent securely over standard Wi-Fi using the MQTT protocol.
A central cloud or on-premises server receives, stores, and processes every event.
Supervisors, operators, and ERP systems consume the data live through dashboards and mobile apps.
Supervisors see live machine status and cycle counts on a dashboard, without walking the shop floor.
Automatic, timestamped cycle and power data feeds directly into availability, performance, and quality calculations.
Login/logout events tie production output to the operator on shift, without manual paper logs.
Production counts and cycle times flow straight into ERP systems for planning and costing.
Non-intrusive by design — No modification to the CNC machine, no dependency on the OEM, and no changes to existing infrastructure.
Event intelligence, not raw data — Interprets signals into decision-ready events rather than dumping raw telemetry for someone else to make sense of.
Machine and vendor agnostic — Works across CNC machine brands and controllers since it doesn't rely on OEM support.
Lightweight network footprint — Event-driven transmission keeps the network footprint light compared with continuous data streaming systems.
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