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Challenges, Opportunities and Strategies for Integrating IIoT
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OSIsoft Brings PI System to Amazon Web Services
What We Do
The story of pharmaceutical production is often a quest for the golden batch: a repeatable process that consistently optimizes yield and quality. Recently an animal health subsidiary of Boehringer Ingelheim - a top international pharmaceutical company - began collaborating with Sartorius Stedim Data Analytics, a long time OSIsoft partner, on a project that uses multivariate data analysis techniques (MVDA) to create golden batch trajectories based on historic data. These golden batch trajectories can then be used for real-time monitoring and prescriptive process control for higher potency batches.
In 2016, Goldcorp launched an ambitious plan, dubbed “20/20/20,” that aims to achieve a 20% increase in gold production, a 20% increase in gold reserves, and a 20% reduction in all-in sustaining costs. As part of that plan, the company initiated a PI System pilot project at its mine in Peñasquito, Mexico, to provide operators with real-time data and deliver dynamic performance targets to enhance metal recovery from the feed moving through the plant. In its first year, the project achieved a rapid return on investment, boosting the recovery rate of metals and effectively adding the equivalent of four to five days of additional production at Peñasquito.
A typical offshore deep-water rig may be two or three hours by helicopter from land, making it one of the most hostile and logistically challenging environments on the planet. Deep-water rigs cannot be moored, and must be kept in place with huge thrusters to counteract the pressure of the wind and waves. The rigs are loaded with large, expensive and potentially dangerous equipment from many different manufacturers, each with its own proprietary data interface. Satellite communication with the mainland can be spotty, and bandwidth for exchanging data is a precious resource. Transocean operates a fleet of 47 drilling rigs worldwide, each with up to 250 workers living and working on rig at any given time. As a result, they turned to OSIsoft's PI System to help improve well performance, enhance worker safety, enable greater automation, and move toward condition-based maintenance of critical equipment.
Fuel burn rate, wear and tear on the hull, vibration, equipment maintenance, shifting weather conditions, different possible routes: all of these factors, and more, combine to steer the path and the pace of a ship through the sea. Most captains navigate a sea of decisions board ship with the help of expertise and old-fashioned intuition. But there is an increasingly important role for data to play, too. With the help of OSIsoft's PI System, the British defense firm BAE Systems is proving that taking data analysis and machine learning to sea can yield dramatic savings on shipping costs.