Environment

IBM uses big data to prevent mining equipment failures

20th Feb `14, 07:29 AM in Environment

IBM is announcing today that it can help mining companies predict when their equipment is going to fail,…

BDMS
Guest Contributor
 

IBM is announcing today that it can help mining companies predict when their equipment is going to fail, using real-time analytics culled together from equipment sensors and a rich trove of operational data.

It is a case of using supercomputing power and sensors from the “Internet of Things” to solve a huge financial headache for industrial companies.

You never know what big data will accomplish next, as it is a transformational technology that could overhaul a lot of industries. In this case, IBM will use it to potentially save billions of dollars a year for companies such as Thiess, a major operator of mining equipment. The work is the result of research spearheaded by the IBM Almaden Research Center in San Jose, Calif., and Thiess.

Matt Denesuk, manager of Smarter Planet Modeling and Analytics for IBM Research, said in an interview with VentureBeat that the modeling and analytics work could transform the $5 trillion business of operating mining equipment.

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