en.Wedoany.com Reported - iFLYTEK TideForce, a subsidiary of China's iFLYTEK, recently completed the deployment of a fiber optic acoustic monitoring project for belt conveyors at an iron mine under a major steel group. The project installed an AI fiber optic auscultation system on five key belt conveyors at the mine, establishing a full-distance, round-the-clock intelligent operation and maintenance monitoring system. The mine has proven reserves of 230 million tons and is a key supporting project to ensure the group's main production capacity.
iFLYTEK TideForce is an industrial AI acoustic monitoring brand under iFLYTEK, focusing on applying artificial intelligence and acoustic technology to the predictive maintenance of industrial equipment. The system replaces human ear identification with fiber optic auscultation and replaces empirical judgment with AI analysis, achieving 7×24-hour uninterrupted monitoring. Since deployment, the system has identified 279 abnormal sound alarms. After AI analysis, 13 warnings were classified as severe abnormal sounds requiring timely roller replacement. Verified one by one by the customer's operation and maintenance team, the alarm accuracy rate reached 95%, and the alarm recall rate reached 100%.
In February 2026, the system captured an abnormal periodic friction sound pattern in the 24 belt conveyor section and triggered an alarm. The on-site verification result by the operation and maintenance personnel was 100% consistent with the AI diagnosis, confirming that the roller bearing was damaged. Timely replacement prevented secondary accidents such as roller lock-up and belt scratches. In the same month, a fault on the 25 belt conveyor was also accurately identified by the system. After remotely reviewing the sound via the system, the operation and maintenance personnel rushed to the site and found that the bearing had stopped rotating, consistent with the system's diagnosis.
By capturing fault abnormal signals in advance, the system transforms passive emergency repairs into proactive intervention, effectively avoiding unplanned downtime caused by equipment degradation. Currently, the iron mine has achieved 7×24-hour online monitoring of belt conveyor rollers and AI intelligent warning of abnormal sounds, mitigating equipment safety risks at the source. Both parties have reached a consensus to continue deepening cooperation in monitoring and diagnosis-related businesses.
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