SAN RAMON, CA — August 4, 2015 —GE Digital (NYSE: GE) today announced the availability of Historian 7.0, a best-in-class data historian designed to connect industrial equipment from the control (asset) layer to cloud environments, natively integrated with GE’s Predix platform. Historian collects, stores and normalizes time series sensor data from industrial equipment and processes.
This information empowers real-time analysis and troubleshooting needed to analyze asset performance so industrial businesses can improve operations and maintenance efficiency.
Proven with a more than 15-year legacy and thousands of installs at companies around the world, Historian 7.0 changes the way businesses perform and compete by making data accessible and actionable. The software features a proprietary archiving and compression technique, native collectors and APIs to easily get data in and out, native methods to move data to both HDFS and to Predix, GE’s operating system for the Industrial Internet.
Historian installs in minutes with a small footprint, yet it scales to support hundreds of users and millions of individual machine data points. Administration and trending is delivered through a secure thin client web application, providing immediate value, and out-of-the-box data mirroring for high availability and data redundancy.
“High performing Industrials are increasingly data driven organizations,” said Jeremiah Stone, APM General Manager for GE Digital. “Companies in every industry and every geography rely on process historians as their primary operational data store to deliver real-time analysis and troubleshooting, enable historical and complex analytics, and reduce data management costs. GE’s Historian enables data-driven decision making by connecting islands of production information and removes barriers to decision-making by providing a ‘single source of the truth’ with a common data foundation and consistent analysis and reporting.”
“In the past, the historian has too often been the final resting place for plant data,” said Greg Gorbach, vice president, ARC Advisory Group. “Today, it is the gateway to optimizing plant performance through cloud-based solutions and powerful analytics, as well as the source of massive amounts of training data for machine learning and predictive maintenance solutions.”
Validated on Pivotal and Hortonworks, the Historian HD solution is now Cloudera certified, specifically to move Historian data from GE’s high performance proprietary format to the widely adopted open-source Parquet schema. This supports the ability to combine time series data with other data types for complete data variety on the HDFS platform, potentially saving months of time in creating the data sets companies need to run big data analytics using open source tools.
With Historian, collectors can be configured to send data to a customer-premise/edge Historian, or to the Predix cloud-based time series data store to support cloud implementations. In addition, GE’s Historian HD solution provides a native method to move Historian data from a Windows® computing environment to a Linux-based Hadoop HDFS cluster, offering fault tolerance and horizontal scale.
Every day, GE employs Historian to collect more than 30,000 operating hours of data from more than 1,600 globally deployed power generation assets, supplementing a 50 terabyte database representing more than 100 million fleet operating hours. In its Monitoring & Diagnostics (M&D) Center in Atlanta, Georgia, USA, a team of more than 20 M&D engineers analyzes more than 25,000 operational alarms per year, assisting customers in enhancing their asset reliability and performance 24/7/365.
“GE Historian is an efficient storage model,” said Eric Poole, Consulting Engineer & Chief Architect for GE’s Atlanta M&D Center. “This combined depth of expertise at the Center, as well as operational excellence in the execution of downstream processes facilitated by Historian, has generated customer savings estimated at more than $100 million in one year.”
For more information, visit www.ge.com/digital/asset-performance-management.