OSIsoft helps facilitate aluminium smelter upgrade
May 2010
IT in Manufacturing
“A 1,4 billion (Canadian dollar) project to increase the production capacity of the Aluminerie Alouette plant called for the plant’s automation technology
to be replaced. The challenge was to maintain all production controls while replacing and substantially increasing data processing capabilities. Thanks to the PI System provided by OSIsoft, we met this challenge without adversely affecting production. We maintained the capacity for processing a data stream of 70 000 items per second in real-time!” says Robert Pelletier, computer specialist, Automation & Production Systems, Aluminerie Alouette.
Ability to sustain 24/7 plant operation during upgrade
Since Alouette’s plant is running 24/7, it was (and is) essential that the process managing systems never stop. It is one of the elements of the OSIsoft vision that enormously appealed to Alouette’s executives.
Within the context of the plant expansion, Alouette’s automation and production systems department required a robust, dependable system capable of processing more than 70 000 data items per second.
Furthermore, the system had to be easy to install and capable of handling the company’s future needs. “Because our system runs non-stop, and must be capable of meeting our needs one, two, or three years down the road,” observed the manager, automation and production systems.
One of the most important criteria proposed by SNCLavalin Hatch officials was selecting a tool that was already well established worldwide. The PI System has been around for decades, and is used throughout the world.
Installing the PI system whilst maintaining production
From the outset, the automation and production systems team at Aluminerie Alouette had to process data that was output from the old databases (scada interface running VXL on VMS Alpha) in tandem with the new PI System to ensure continuity of production. At the same time, it integrated data from the new equipment, as it gradually came on line. The processing had to occur without production managers noticing changes.
“Installing the PI System went very smoothly,” says Pelletier. “We set up a temporary interface between the old systems and the new PI System. As the new systems were phased in, we redirected the data sources without any impact on production. This was clearly the stage at which problems were likely to arise. Even though everything did not work as expected right off the bat, on the whole, installation went smoothly and no data was lost.”
The PI system in operation
Today, all production data at the Aluminerie Alouette plant is integrated and processed by the PI System. The operating network includes:
* Four PI servers of 20 000 tags each.
* Seven data acquisition nodes.
* Data collection interfaces used: OPC, CSV file loader and MCN Health Monitor.
Readers wanting to find out more about this application can view the full article at http://instrumentation.co.za/+c13809a
For more information contact Nick Stead, OSIsoft, +27 (0)31 767 2111, [email protected], www.osisoft.com
Further reading:
Next-generation road-legal race car.
Siemens South Africa
IT in Manufacturing
Siemens Digital Industries Software has announced that Briggs Automotive Company (BAC) will move to the Siemens Xcelerator portfolio of industry software and use it to develop the next generation of its single-seater road-legal race car, Mono.
Read more...
Cybersecurity at a crossroads
IT in Manufacturing
here’s a growing unease in boardrooms, data centres and cabinet offices across South Africa. It’s not just about economic headwinds or political uncertainty, it’s about something quieter, more technical and yet just as dangerous - the rising tide of cyber threats.
Read more...
Enabling a sustainable industrial organisation
IT in Manufacturing
This article explains the top sustainability trends and key actions that you can leverage to become a more sustainable organisation.
Read more...
Navigating discrete manufacturing in South Africa through digitalisation
IT in Manufacturing
South Africa’s discrete manufacturing sector faces mounting pressure from global competition, fragmented supply chains and outdated infrastructure. In this complex environment, digitalisation is a critical lever for survival, resilience and growth.
Read more...
Africa’s pragmatic approach to AI and how data centres are enabling it
Schneider Electric South Africa
IT in Manufacturing
In Africa, the current AI momentum is driven by a fundamental need, building a resilient digital infrastructure that addresses the real-world challenges of the continent’s communities.
Read more...
World first simulation of error-correctable quantum computers
IT in Manufacturing
Quantum computers still face a major hurdle on their pathway to practical use cases, their limited ability to correct the arising computational errors. In a world first, researchers from Chalmers University of Technology in Sweden have unveiled a method for simulating specific types of error-corrected quantum computations.
Read more...
Platform to accelerate supply chain decarbonisation
Schneider Electric South Africa
IT in Manufacturing
Schneider Electric has launched Zeigo Hub by Schneider Electric, a powerful new digital platform designed to help organisations decarbonise their supply chains at scale.
Read more...
Future-ready data centres
IT in Manufacturing
The white paper ‘Future-Ready Data Centres’ by Black & Veatch outlines how integrating sustainable design principles not only helps meet ESG goals but also ensures reliability, operational efficiency and business continuity in the face of climate change and growing digital demand.
Read more...
Sustainable energy management
Siemens South Africa
IT in Manufacturing
Utilising its innovative ONE approach technology, Siemens provides complete transparency on resource consumption and offers data-driven optimisation recommendations for sustainable energy management.
Read more...
Enhancing operational safety and efficiency through advanced risk-based modelling
IT in Manufacturing
Now, more than ever, capital and operational cost can be reduced while enhancing operational safety and increasing production uptime by applying transformative methods such as Computational Fluid Dynamics modelling.
Read more...