As connectivity and computing power continue to expand in industrial companies, the availability of data has revolutionized the way they solve problems and adapt to change. However, they still face the complexities of making useful data available in the right place at the right time, and lack in-house expertise in data management, from hardware to the cloud.
The "Project Scio" platform is part of Rockwell Automation's strategy to help manufacturers improve production through advanced analysis tools. By making it easier to provide the right information to the right person at the right time, the new platform is a powerful decision-support tool.
The platform opens up access to ad hoc analysis and performs advanced analysis by extracting structured and unstructured data from any data source in the enterprise. It can also merge related data intelligently, providing intuitive dashboards, called storyboards, that users can share and view. Users can then perform manual analysis to make better decisions and significantly speed up implementation.
" Analysis at all levels of the enterprise, at the edge, on site or in the cloud, provides previously impossible information. "says John Genovesi, vice president of the division. Information Software from Rockwell Automation. Merging multiple data sources and using Machine Learning to make systems more predictive and intelligent. With an easy-to-use and easy-to-configure interface, Scio makes analytics available to everyone. The open and scalable platform provides users with secure, personalized access to any data source, structured or not. "This platform offers:
Automatic device detection
Manually mapping software to every device on the plant floor can be a time-consuming and error-prone process. The Scio platform automatically discovers Rockwell Automation equipment and tags, as well as data from third-party equipment, to save time and reduce risk. What's more, the auto-discovery process gives users access to more detailed information than is usually available through manual mapping, such as device name, line and plant location.
Centralization of analysis data
Instead of leaving data isolated at its source and creating database snapshots, the platform centralizes the data in a single location and continuously updates it. In addition, the connection to data sources only needs to be made once. This connection allows users to create custom analyses and update them at any desired frequency without the help of a data scientist.
Flexible machine learning
Using the right machine learning algorithm for each use case. The Project Scio platform can be configured to support many leading algorithms, such as SparkML, MLLib and Python.
Closed loop analysis
Using Machine Learning or predefined parameters, the platform can monitor operations and automatically trigger control adjustments if processes begin to exceed allowed parameters. This can help users optimize control, improve product quality and consistency, and reduce scrap and waste.
Application store
Rockwell Automation will launch a store of in-house and third-party developed applications. Accessing any data source and creating custom analytics for each user's application are key features. However, users can also take advantage of Rockwell Automation's FactoryTalk Analytics applications. These applications allow users to monitor key performance indicators, such as overall yield and quality, in a standardized manner with no configuration required.
Open platform
Manufacturers will not completely replace their existing information and control systems to modernize it and gain value from analytics. The Scio platform with its open and scalable architecture has been designed to be extended to an entire ecosystem of Industrial Internet of Things data sources. It enables the rapid connection of a full range of systems - controllers, industrial process management software and devices at the edge - that transmit data to a Connected Enterprise.
In addition to these information solutions, Rockwell Automation offers a comprehensive range of connected services, enabling customers to ensure network integrity and security, infrastructure design and maintenance, and remote equipment monitoring, including predictive maintenance. These services can help customers with every aspect of their transition to the connected enterprise, including the development of an Industrial Internet of Things strategy and infrastructure, as well as remote analysis and monitoring.
Learn more: www.rockwellautomation.com