New Industrial AI ML Solutions Built to Modernize Manufacturing Plants
Industrial AI ML solutions are the new buzzwords in the series of latest innovations announced from the data science world. Leading asset optimization software company Aspen Technology has announced a new Industrial AI ML solution specifically for the new-age manufacturing plants and engineering centers. Commercially available as Aspen Hybrid Models, it runs on the aspenONE® V12 software. It has come up with the idea of leveraging AI ML for the Self-Optimizing Plant. The Self-Optimizing Plant is the future of all industrial operations that would utilize embedded AI and analytics software to drive automation into every function of a manufacturing plant.
Let’s understand more about Aspen Technology’s Industrial AI ML solution for the Self-Optimizing Plant.
Driving Force: aspenONE® V12 software
Aspen Technology embeds artificial intelligence (AI) across the portfolio, and uses the cloud for delivery of enterprise-wide analytics and insights for increased safety, sustainability, and improved margins. AspenTech’s Industrial AI solutions democratize the application of AI where it can deliver most value and is a vital step towards the Self-Optimizing Plant.
“Aspen Hybrid Models™ are a major advance in the field of chemical engineering. Hybrid models are a major step forward in bringing together AspenTech’s process models and machine learning and are a game-changer in process engineering and plant improvement,” said Dr. Karuna Potdar, Vice President, Technology Centre of Excellence, Reliance Industries Limited.
How Industrial AI models work?
aspenONE® V12 solutions have the first Industrial AI hybrid model capability that is purpose-built for the process industries and other capital-intensive industries. Aspen Hybrid Models™ capture data from assets across the enterprise, and then apply AI, engineering first principles and AspenTech’s domain expertise to deliver comprehensive, more accurate models at enterprise speed and scale. With AspenTech’s four decades of knowledge about the unique challenges of building solutions for process industries and other capital-intensive industries, aspenONE® V12 enables customers to apply AI to critical processes without additional data science expertise and offers better support for new users without deep process knowledge or experience.
The process industries have embraced digital transformation to drive operational excellence and innovation as they respond to meet the needs of growing populations and expectations for sustainability. The new solutions in aspenONE® V12 address these unique challenges with better modeling accuracy, greater insights and improved total cost of ownership that can support evolving business needs and take advantage of the new digital native workforce.
Industrial AI Solutions Enable Plants to Meet Sustainability Targets
“The process industries and other capital-intensive industries are experiencing new levels of volatility in supply and demand, and the need to be agile in response to all market conditions requires a new approach to asset optimization,” said Antonio Pietri, President and CEO, Aspen Technology.
Antonio added, “In addition, they face higher expectations for efficiency and profitability, and increasing pressure to meet sustainability targets. This next generation of Industrial AI solutions will change how process industries work. The Self-Optimizing Plant represents the future of operational excellence, and we continue our commitment to innovate and deliver solutions that can accelerate our customers’ journey toward it.”
According to Peter Reynolds, Senior Analyst, ARC Advisory Group, “AI has the potential to enhance many industrial work processes; however, most companies are not well-equipped to bolt on AI themselves. AspenTech’s industry-specific applications with embedded AI will help companies accelerate transformation. While other technology strategies require asset owners to invest in complex platforms and data scientists, with embedded AI, users can get started right away improving margins and profitability.”
Francesco Mura, Digital Platform Manager, Process and Technology for Saras, sees the advantage for updating planning models. “Aspen Hybrid Models™ provide very efficient nonlinear planning model generation, taking information from Aspen HYSYS rigorous refining reactor models and offering a great deal of promise as a new approach for updating planning models.”