E-MC2
Energy and resource monitoring, prediction,
and decision-support
Energy and resource monitoring, prediction, and decision-support
Predict Faults in Military Operations Systems
The Army requires effective management of energy and supply resources needed to train, move, and sustain forces and systems in military operations. E-MC2 helps predict resource gaps and faults in military operations systems using Figaro™. Figaro is Charles River’s open-source, probabilistic programming language for probabilistic modeling.
“Under the E-MC2 effort, we are designing an energy and resource monitoring, prediction, and decision-support tool that uses probabilistic reasoning to construct and learn models of complex, real-world power equipment. E-MC2’s models can notify leaders of potential upcoming energy and resource consumption issues.”
Alison O’Connor
Principal Scientist and Principal Investigator on E-MC2 effort
The Army is also looking to develop modeling tools that provide diagnostic and prognostic information about backup power equipment to avoid power failures and ensure the reliability of backup power equipment in critical situations. Charles River is using the flexibility of Figaro to quickly assemble models of interacting components in both efforts. In E-MC2, Charles River is building models of energy consumption and resource usage.
Contact us to learn more about E-MC2.
This material is based upon work supported by the Small Business Innovative Research (SBIR) Program and the Engineering Research and Development Center (ERDC) – Construction Engineering Research Laboratory (CERL) under Contract W9132T-17-C-0018, and by the Army Contracting Command under Contract No. W56KGU-18-C-0007. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the SBIR Program, ERDC-CERL, or the Army Contracting Command.
