A major strategy in process industries is to run industrial processes at the highest economic performance through the involvement of hardware and software solutions. Just like internet companies that can create high value by optimizing the commercial assets in the consumer market by data analytics, process industries can also generate high value by optimizing their assets from analytics of machine and process data they have acquired from the operations and productions. Modern machine and deep learning technologies enable simply interacting with the process and incrementally improving control behavior. The purpose of the Modcon-AI package is to provide process engineers with a set of economic optimization tools, which enables the prediction of physical properties and chemical composition for different process streams, to optimize the setpoints of unit operations.
Download our latest white paper, which gives an overview of the top 8 AI use cases for process industries.
Contents:
– INTRODUCTION
1. REFINERY ECONOMIC OPTIMIZATION
2. PREDICTIVE OLEFINS PRODUCTION
3. NATURAL GAS PROCESSING
4. BIOTECHNOLOGY INDUSTRY
5. CHEMICAL INDUSTRY
6. POWER GENERATION
7. WATER TREATMENT
8. OIL AND GAS PRODUCTION
– THE EMERGING TECHNOLOGIES
