Internet of Things applied to industry: a case of Predictive Maintenance

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At an important manufacturer of industrial equipment,  Blue BI  has created an innovative analysis system for predictive maintenance that combines issues related to the Internet of Things, Predictive Analysis and Big Data.

Internet of Things

The case concerns the need for  connect, monitor and control in real-time the operating data generated by the sensors of a vast base of industrial equipment installed around the world.

Predictive Analysis

Statistical models have been developed on the data collected and organized in a specific data warehouse to describe the behavior of the equipment, predict future failures and optimize maintenance activities.


Big Data 

The systems subject to control generate a very high number of transactions every day  which therefore required a technological infrastructure that would allow not only the extraction and management of large volumes of data, but at the same time have in-memory capacity to guarantee the necessary computing performance.

The technological platform used was SAP: Hana (DB in-memory), Data Services (ETL procedures), Business Objects (front-end data analysis), Predictive and “R” language.

 

This typical example of IIOT (Industrial Internet of Things) has allowed the company to make the entire after-sales process more efficient, with significant logistical savings on time and materials and significantly increasing the level of assistance for its customers.

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