Predge Conveyor
Boost conveyor uptime with predictive maintenance. Using existing data and system design, it forecasts the remaining life of rollers, pulleys, and drives—driving smarter, data-based decisions.
OVERVIEW
Enhance conveyor performance with predictive analytics
All information is easily access through a web portal or directly communicated to other systems through standard interfaces.
Data-driven decisions
Optimize availability and efficiency with fact-based insights.
Comprehensive component analysis
Get remaining useful life, degradation rates, hot spots, and critical object detection.
Efficient access
View data via a web portal or integrate it with other systems through standard interfaces.
How we work
From data to uptime
Use of available data sources
Generates actionable insights that enhance maintenance planning, operational efficiency, and equipment reliability.
Predict remaining useful life of key components
Using data-driven analytics to prevent failures, reduce downtime, and plan maintenance effectively.
Increase availability, efficiency & safety
Turning existing data into actionable insights for proactive maintenance and optimized operations.
FEATURE
Forms
Efficient reporting forms for anomalies, inspections and component exchanges. Enables component level management as an extension of, or integrator into, your maintenance system. Track actions, follow up deviations and initiate actions.
FEATURE
Belt object detection
Boost safety. Cut downtime.
Belt object detection, cloud-integrated for efficiency, detects risks early to keep operations safe and running without disruption.
Real-time anomaly detection
Equipped with a camera, light source, and onboard processing, the system detects conveyor anomalies in real time. Detections are logged for traceability and can be reviewed to enhance accuracy.
INSIGHTS
SplAIce
In collaboration with Hosch, we provide insights on current and future conditions of specific locations on a belt, like splices, to plan inspections and maintenance actions in time.
