Artificial intelligence, machine learning, and deep learning are now being used in the chemical industry.
Machine Learning and Deep Learning are a growing and diverse fields of Artificial Intelligence (AI) which studies algorithms that are capable of automatically learning from data and making predictions based on data. Machine Learning and Deep Learning are two of the most exciting technological areas of AI today. Each week there are new advancements, new technologies, new applications, and new opportunities. It’s inspiring, but also overwhelming. That’s why we created this guide to help you keep pace with all these exciting developments.
Whether you’re currently employed in the chemical industry, or just pursuing an interest in the subject, or working with us at Produvia, there will always be something here to inspire you!
Here are five artificial intelligence ideas for the chemical industry:
- Raw Materials Load Forecasting. Imagine a technology that is able to load forecast for raw materials (oil, natural gas, air, water, metals, minerals, etc.) to meet demand and supply of power and energy.
- Preventative Maintenance & Asset Management. Imagine software that is able to prevent machinery (motors, pumps, etc.) failure to reduce interruptions.
- Prediction of Phase Diagrams. Imagine computer code that is able to predict phase diagram used to show conditions at which thermodynamically distinct phases occur and coexist at equilibrium.
- Gas Detection Alarms. Imagine code that’s performing continuous gas monitoring for abnormal or lower explosive levels of hydrogen sulphide, oxygen, nitrogen dioxide, carbon monoxide and sulphur dioxide.
- Intelligent Chemical Processing. Imagine a system that ranks chemical structures for processing effectiveness.
If you have any questions about artificial intelligence or the future of chemicals, feel free to message us at produvia.com
Five Artificial Intelligence (AI) Ideas for the Chemical Industry was originally published in Produvia Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.