Ekiya applied in Chemical Industrial Plant

Problem

Chemical Industrial Plants manufacture or processes chemicals on a large scale and use specialized technology and equipment. The know-how of the equipment and technology is often embedded in hundreds of pages of documentation and with company experts.

Solution

Ekiya summarizes the scattered information using different AI tools and systems for the benefit of the end user.

Benefit

This produces a unique AI tailored solution that saves hours of time for employees. The system will continuously learn and adapt to new constraints or changes in the processes. It will support the organization at many different levels such as training, knowledge transfer, problem resolution, maintenance, planing of changes, etc.

AI Technologies used

Ekiya´s Domain Knowledge Extractor (DKE) will firstly build a mind map from the documentation. This is done using Knowledge Graphs, which is visual representation of the relationships between different entities, facts and ideas.

Once the documentation is captured, the AI focuses on the geographical and process constraints in the installation. An example of the areas it tackles are questions regarding device location, inter-device connectivity and presence of obvious constraints.

As not everything will be documented, the Ekiya engineering process adds expert knowledge at different steps. In the steps, the expert analyzes available information or aggregates them to form a knowledge base.

For example, physical constraints or rules are elicited from expert input, added and will then contribute to symbolic reasoning.