Aura IQ’s award winning technology harnesses the power of Ava Risk Group’s fibre optic detection and sensing platform (FFT TM Aura Ai-2), combined with Mining3’s advanced signal processing algorithms, predictive analytics, and identification tools to acoustically monitor and assess conveyor health via the cloud-based analysis, reporting and alerts.
Providing deeper insights to maintenance technicians, site personnel, regional operational hubs and global headquarters, conveyors are automatically connected to the cloud via an Industrial Grade Wireless Internet of Things (IoT) Gateway, enabling daily asset reliability reports from every conveyor, at every site around the world.
By transmitting a series of short, laser pulses along a single fibre optic cable retrofitted along the length of a conveyor, acoustic disturbances from the conveyor system cause microscopic changes in the backscattered laser light that is then categorised into known parameters.
Following these recent in-field successes, a new version of the conveyor condition monitoring algorithm for acoustic sensing has been implemented. Major improvements to the system to note are the ability to monitor conveyor line stands with different idler configurations as well as remove spurious noise frequencies.
Conveyors are not always made up of just a single sized roller. Because of this, Mining3 conducted a number of tests and managed to improve the flexibility of the system by enabling the processing of multiple roller sizes in one location. With these new parameters added into the predictive analytics, the Aura IQ can now give a more accurate assessment of line stands. For example, carry rollers vs return rollers can now be monitored by a single fibre.
Additionally, the latest software release has further enhanced the ability of the Aura IQ system to handle extraneous signals and potential acoustic contamination from adjacent equipment, a critical feature to ensure a more reliable and accurate condition monitoring of the conveyor belt.
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