Conveyor diagnostics is continuous 3D-LiDAR fault detection on belts: load-profile anomalies, off-centre loading, belt mistracking and spillage — flagged the moment they appear, not at the next inspection. Powered by the OWL EYE® engine.
Förderbanddiagnostik ist kontinuierliche 3D-LiDAR-Schadenerkennung auf Bändern: Profil-Anomalien, Schieflast, Bandverlauf-Abweichungen und Spillage — markiert in dem Moment, in dem sie auftreten, nicht erst bei der nächsten Inspektion. Angetrieben von der OWL EYE®-Engine.
Diagnostyka przenośników to ciągłe wykrywanie usterek 3D-LiDAR na taśmach: anomalie profilu obciążenia, obciążenie niesymetryczne, schodzenie taśmy z osi i wysyp — flagowane w momencie pojawienia się, nie przy następnym przeglądzie. Napędzane silnikiem OWL EYE®.
La diagnostica nastri trasportatori è il rilevamento continuo dei guasti tramite 3D-LiDAR: anomalie del profilo di carico, caricamento decentrato, disallineamento del nastro e spandimenti — segnalati nel momento esatto in cui si verificano, non alla prossima ispezione. Basata sul motore OWL EYE®.
Le diagnostic convoyeur, c'est la détection continue de défauts par 3D-LiDAR sur les bandes : anomalies de profil de charge, chargement décentré, déviation de bande et déversement de matière — signalés à l'instant où ils apparaissent, et non lors de la prochaine inspection. Propulsé par le moteur OWL EYE®.
El diagnóstico de cintas es la detección continua de fallos con 3D-LiDAR sobre la cinta transportadora: anomalías del perfil de carga, carga descentrada, desviación de la cinta y derrame de material, señalizados en el instante en que aparecen, no en la siguiente inspección. Impulsado por el motor OWL EYE®.
O diagnóstico de correias é a detecção contínua de falhas por 3D-LiDAR em correias transportadoras: anomalias de perfil de carga, carga descentrada, desalinhamento da correia e derrame — sinalizados no instante em que aparecem, não na próxima inspeção. Movido pelo motor OWL EYE®.
Conveyor diagnostics is what happens when a belt scan sees more than just throughput. The 2D-LiDAR cross-scan delivers a complete load profile every line — and from that profile the OWL EYE® engine derives a continuous stream of condition signals.
Off-centre loading shifts the load profile sideways. Belt mistracking drifts the entire band across the idlers. Spillage appears as belt-edge over-flow. Worn chutes and skirt-board leaks show up as asymmetric profile shape. Each of these failure modes used to require a walk-down or a manual camera review. With OWL EYE® they become live anomaly events — into your CMMS, into the dashboard, into a maintenance plan that finally stays ahead of failure.
The result: preventative maintenance based on what the belt actually does, not on a calendar. Conveyor diagnostics and volumetric flow measurement from one sensor.
Conveyor-diagnostic signals running across K+S, proFagus, Nordzucker and inside the active mining operation of the Sachtleben Minerals Group.
The load sits to one side of the belt. LiDAR sees the asymmetric profile instantly and flags the chute or feed point that is drifting — before idlers and edges wear unevenly.
Material spilling over the belt edge or piling at transfer points shows up as profile-height anomalies near the rim. Captured live, logged for housekeeping and risk reports.
The whole load profile drifts laterally as the belt mistracks. Detected before idler damage; combined with gradual asymmetry trends it becomes a true predictive-maintenance signal.
Anywhere belts are critical, plants are large, or stopping a conveyor is expensive — diagnostic LiDAR is the cheapest preventative- maintenance instrument you can install.
| Dimension | Traditional belt monitoring | OWL EYE® Conveyor Diagnostics |
|---|---|---|
| Off-centre loading | manual walk-down inspection | live anomaly event |
| Belt mistracking | discovered when idlers fail | detected from profile drift |
| Spillage / edge overflow | housekeeping after the fact | captured continuously, logged |
| Profile asymmetry / chute wear | not visible until shutdown | trend visible weeks in advance |
| Data source | one-off cameras, manual checks | continuous 3D-LiDAR profile stream |
| Maintenance trigger | calendar-based or after failure | condition-based, predictive |
Questions process and maintenance engineers ask before evaluating LiDAR-based conveyor diagnostics.