Johannesburg, 20 Nov 2017
Cloudera (NYSE: CLDR), the modern platform for machine learning and analytics, optimised for the cloud, announced that Komatsu, a leading global heavy equipment manufacturer, has implemented a cloud-based industrial Internet of things (IIOT) analytics platform powered by Cloudera Enterprise and Microsoft Azure.
The platform enables Komatsu teams to help mining customers around the world continuously monitor the performance of some of the largest equipment used in surface and underground mining, increase asset utilisation and productivity, and deliver essential resources including energy and industrial minerals for the global economy.
Komatsu's JoySmart Solutions is an IIOT-based service that helps customers optimise machine performance using machine data and analytics. The JoySmart platform ingests, stores and processes a wide variety of data collected from mining equipment operating around the globe, often at very remote locations in harsh conditions. Types of equipment monitored includes longwall mining systems, electric rope shovels, continuous miners and wheel loaders.
Their data includes time-series metrics - machine pressures, temperatures, currents, etc - alarm and event data, and other information from third party systems. A single machine can have hundreds to multiple thousand data metrics and generate 30 000-50 000 unique time-stamped records per minute.
"With increasing customer demand and more connected machines, we were looking at data growth reaching 30 terabytes per month. Our former environment limited our ability to scale, grow and innovate," said Anthony Reid, senior manager of analytics at Komatsu. "With Cloudera's modern platform, we use advanced data analytics and machine learning to power our IIOT success. We now provide customers with better recommendations on machine utilisation and deliver services faster. In one example, we were able to make recommendations for a large coal mining company that enabled them to double the daily utilisation of their Joy longwall system."
"By deploying Cloudera Enterprise on Microsoft Azure, our teams make the invisible visible, gaining valuable insights to help customers optimise productivity and mining efficiencies. Cloudera delivered the fast performance, data security and customer support that allowed our teams to access machine data analytics and collaborate with different user groups across the world," said Reid.
Komatsu data scientists can now build and deploy machine learning models faster to understand equipment operation, provide better insights for customers and ultimately influence future mining equipment design. Utilising components such as Apache Kudu and Apache Spark, Komatsu can drive real-time processing, machine learning and analytics on all of their IOT data, including data in motion and data at rest.
"Komatsu required a modern data platform that not only delivers next-generation machine learning and advanced analytics capabilities in the cloud, but is also scalable to increases in their customers' equipment utilisation and productivity," said Dave Shuman, IOT and manufacturing industry leader at Cloudera. "With Cloudera, Komatsu can now use the vast amounts of data to help its mining customers manage increasing pressure to be environmentally smarter and more productive at a lower operation cost."
Komatsu helps its customers optimise mine production using an IIOT analytics platform powered by Cloudera Enterprise and Microsoft Azure.
Additional resources
* Learn how Komatsu is applying machine learning using Cloudera: video and success story
* Read about Cloudera for IOT
* Check out the new Cloudera Data Science Success Kit that includes Data Science Workbench bundled with world-class professional services
* Watch our on-demand Webinars:
* An End-to-End Open Source Architecture for IoT provided jointly with Red Hat
* Simplifying Real-Time Architectures for IOT with Apache Kudu
* IOT-Enabled Predictive Maintenance provided jointly with Tata Consultancy Services
* IOT - Data Management Trends, Best Practices & Key Use Cases with Christian Renaud of 451 Research
* Download The Internet of Things Heat Map, 2016: Where IOT Will Have the Biggest Impact on Digital Business by Michele Pelino and Frank E Gillett, Forrester
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