Mining
Long-distance mining equipment like belt conveyors and tailings pipelines stretch for kilometers, making real-time manual inspection impossible. Distributed acoustic sensing collects and analyzes sound along the entire line, using acoustic localization to reduce fault detection time to minutes.
Distributed Acoustic Sensing (DAS) System
Distributed Acoustic Sensing Host
AI Acoustic Signature Monitoring Solution
8-mic Industrial Microphone
AI Acoustic-Vibration-Temperature Sensing Solution
Wireless Acoustic-Vibration-Temperature Sensor
AI Acoustic-Vibration-Temperature Sensing Solution
Wireless Acoustic-Vibration-Temperature Sensor
AI Acoustic-Vibration-Temperature Sensing Solution
Wired Acoustic-Vibration-Temperature Sensor
AI Acoustic Imager
Handheld Acoustic Imager
Customer Case
iFLYTEK AI Distributed Acoustic Sensing System Secures Conveyor System in Coal Mining Operation
Application Scenario
A coal mine with a 5.9 km surface and underground belt conveyor system struggled with hidden conveyor idler faults that traditional inspection methods failed to cover. Partnering with iFLYTEK, the site deployed a Fiber-Optic Distributed Acoustic Sensing (DAS) System. By leveraging optical fiber sensing combined with AI acoustic analytics, the solution enables automated acoustic anomaly alerting and real-time remote continuous monitoring. The system detected over 10 critical anomalies missed by manual checks, cut routine inspection time by over 30%, and reduced unplanned downtime by more than 80%. Delivering stable performance in demanding underground environments, this project now serves as a scalable benchmark across the mining group.
iFLYTEK AI Distributed Acoustic Sensing System Secures Conveyor System in Major Steel Mill
Application Scenario
Operating in harsh metallurgical environments, traditional manual inspections for ironmaking conveyor belts carry high safety risks, low efficiency, and frequent missed anomalies. A major steel enterprise partnered with iFLYTEK to deploy a Fiber-Optic Acoustic Sensing System powered by Distributed Acoustic Sensing (DAS) technology, providing 8.17 km of continuous full-line coverage. The system delivers early warnings for critical mechanical risks such as idler bearing damage and steel roller deformation. Field verification confirmed a >50% increase in inspection efficiency, a >92% accuracy rate for acoustic anomaly alerts, and a 98.4% precision rate for continuous acoustic anomalies, proving exceptional model reliability in high-heat, high-dust steelmaking conditions.
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