TAGS:#industrial automation #real-time data collection #Emerson AspenTech Inmation #PLC and DCS systems
Facilitating Digital Transformation for Energy Operations
TotalEnergies has entered into a strategic collaboration with Emerson's Aspen Technology business to revolutionize data management at its facilities globally. The initiative relies on continuous, real-time industrial data gathering, facilitating better decision-making and greater energy efficiency. TotalEnergies becomes a leader in industrial automation, PLC, and control systems innovation through the use of Emerson's Inmation™ technology.
Leveraging Industrial Data Fabrics for Intelligent Decision-Making
Implementing AspenTech Inmation™ offers a converged industrial data fabric for TotalEnergies' worldwide facilities. This infrastructure compiles millions of real-time data points in an encrypted space. Therefore, plant managers and engineers gain faster access to precise operating insight, and factory automation and process control systems can operate more accurately and with less downtime.
Empowering Artificial Intelligence (AI) in Process Control
After setting up the industrial data layer, TotalEnergies will roll out AI-enabled applications on its DCS and process automation systems. The presence of AI enables operators to detect anomalies earlier, improve process performance, and enhance plant safety. Additionally, Emerson's advanced process control software optimizes the flexibility of industrial control systems for dynamic energy consumption, reducing operational costs and emissions.
Accelerating Energy and Environmental Performance
Over the next two years, this digital infrastructure will drive multiple sustainability goals. By regularly tracking key process variables, TotalEnergies can optimize energy consumption and reduce carbon emissions. Furthermore, real-time industrial automation ensures that environmental compliance requirements are met more efficiently. This initiative demonstrates how digital technologies not only drive the highest plant productivity but also make concrete contributions to corporate sustainability.
Industry Perspective and Expert Commentary
Operators have long employed SCADA, PLC, and DCS systems to control and monitor oil and gas operations. The advent of industrial data fabrics and AI-driven automation, however, represents a paradigm shift. From my perspective as an industry observer, I see this collaboration as more than the adoption of technology—it signals a shift towards software-defined, OT-capable platforms. Businesses that embrace them will gain a cost and sustainability edge.
Real-World Implementation in Industrial Settings
This course shows real-world application scenarios for digital transformation in heavy industry. Examples are:
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Turbine monitoring and optimization with predictive maintenance models.
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Energy management across the entire plant using real-time consumption analysis.
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Operator decision-making support by integrating AI into control systems.
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Environmental compliance monitoring through automated data collection and reporting.
These application scenarios show how industrial automation and digital solutions can extend asset life, reduce costs, and enhance operating safety.