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Product Overview
Reinventing crane maintenance with digital twins.
The crane digital-twin maintenance platform brings together digital twin technology, industrial IoT, AI diagnostics, a knowledge base, large models, voice interaction and digital humans to deliver integrated maintenance: real-time sensing, intelligent monitoring, precise diagnosis, predictive maintenance and closed-loop management.
Performance Strengths
- Full-scenario visibility
Covers the whole crane view, situation monitoring, health monitoring, safety monitoring, equipment diagnosis, energy analysis and full-dimension operations analysis.
- Full-data integration
Supports acquisition from 1,000+ data points and integrates with WCS, MES, WMS, MOM and other systems, joining equipment data to operations data.
- Full lifecycle management
Covers equipment records, BOM, faults, inspections, servicing, repair work orders, spare parts and service-life management.
- AI diagnostics
Moves beyond simple alarms to anomaly detection, root-cause analysis, risk assessment and repair recommendations.
- Predictive maintenance
Catches faults before they happen, cutting downtime losses and extending equipment life.
- Large models that keep improving
A knowledge base, large models, voice interaction and digital humans let fault knowledge, repair experience, equipment models and maintenance strategies accumulate and improve continuously.
Functional Value
- 01
Digital-twin panoramic monitoring real-time sensing of every vital sign
One screen shows the operation, safety, health, energy use, maintenance and efficiency of every crane in the plant, moving equipment management from experience-based to data-based decisions.
- 02
Full-lifecycle management of equipment assets monitoring and analysis of operating status
Faults are diagnosed automatically, inspections run online and repair work orders close the loop, while past experience is reused quickly to shorten fault location and repair time.
- 03
Real-time monitoring and diagnosis full-dimension operations analysis
Linked analysis of operating and equipment status reduces sudden failures and unplanned downtime, keeping production logistics running continuously.
- 04
Fault diagnosis predictive maintenance
High-risk states are identified early with real-time alerts, closed-loop handling and full traceability, shifting safety management from reaction to prevention.
- 05
Large-model assistant
Accumulates crane equipment, fault, repair and energy data alongside knowledge assets to form the digital foundation for smart factory equipment maintenance.
Applications
A full-lifecycle intelligent maintenance system for cranes in heavy-load, complex material handling