Live OEE, machine health and energy per machine across the shop floor — with vibration drift flagged as a predictive-maintenance alert, well before the bearing actually fails.
Book a PilotOn most shop floors, a machine's health is only known when someone walks the line or when it stops. Current draw, vibration, temperature and run hours all carry early warning signs — but without sensing on the equipment, those signs go unread until the line is already down.
A motor, bearing or pump fails without warning and production stops, because nothing was watching the early trend.
A bearing starts drifting toward failure days before it lets go — invisible without a continuous vibration trend to compare against.
Each machine is its own island. There's no single dashboard showing availability, performance and quality across the floor.
Without per-machine energy data, idle draw and inefficient cycles quietly add to the power bill unnoticed.
30 machines on one OEE dashboard, energy per machine, and machine 7's bearing drifting toward failure until the predictive-maintenance flag catches it first — this is the same engine and scenario running at demos.barquecontech.com, embedded live below.
From a vibration or current sensor on the machine to a maintenance ticket — the same path the live demo above runs on.
Vibration, current, temperature, run-hour telemetry
Local aggregation, buffering during network drops
OEE calculation, drift detection against baseline
Maintenance flag raised ahead of the fault event
Live OEE, energy and machine-health view
The building blocks we combine to fit the machines and panels you already run.
Retrofit sensors on motors, pumps and bearings reporting continuous condition data.
Availability, performance and quality tracked live across every machine on the floor.
Remote switching and monitoring for heavy three-phase loads, no trip to the panel.
Drift-to-failure detection that raises a maintenance flag ahead of the actual breakdown.
Per-machine energy and run-time data to find waste and trim idle draw.
Overheating, abnormal current or fire-risk readings pushed the moment they appear.
Machine data is only useful where your team already works — we integrate rather than replace.
Push predictive-maintenance flags straight into the work-order queue your team already uses.
Tie OEE and downtime data back to the production order, so planning has one source of truth.
Push fault and drift alerts to SMS, email or a channel your maintenance team already watches.
Concrete outcomes from putting a live health signal on every machine.
surprise breakdowns once drift is caught by a predictive alert instead of a failed part.
OEE once availability losses are visible per machine instead of buried in a shift report.
energy cost once idle draw and inefficient cycles are visible and can be trimmed.
Directional outcomes based on what continuous condition monitoring makes visible — we'll size the specific case against your floor and machines during a pilot.
Watch the floor run live, or tell us about your machines and we'll shape a pilot around them.