MOAF-DIT is a funded Eurostars project with the following members: JeoIT, Karel, TU Eindhoven and Univia. The shared product is a powerful digital twin utilizing cutting edge AI. The purpose of MOAF-DIT is to provide immediate benefits at a low cost while preserving a very high growth potential as it has the capacity to continue evolving while managing a facility.

Digital Twin and AI Based Facility Management

A new generation facility management platform adhering to digital twin principles. This holistic approach to management will include ontologies for human, space and inter process relationships.

Multi-Agent Reinforcement Learning

A multi-agent reinforcement learning approach will be utilized to explore solutions spaces across the facility. A unique set of algorithms and ontology driven agent types will be developed.

Semantic Knowledge Graphs

Reinforcement learning and other AI methods will be based on well defined ontological definitions. This approach will aid in scalability to multiple domains as well as aid in in-facility integration of legacy systems.