Improvement of the remote expert system based on OTEA software (ITMATI-C50-2017)
PROBLEM DESCRIPTION: Development of a system that, through the platform of remote management of facilities OTEA, is able to predict maintenance incidents through the interpretation of the data monitored, and can apply rules that improve the efficiency of the system and extend the life of the equipment.
CHALLENGES AND GOALS:
- To multiply the value of the OTEA system by maximizing the efficiency of the facilities and minimizing the basic management resources.
- To deploy a predictive tool which enables to detect maintenance incidents before they happen.
OTEA: controls, monitors and manages energy, synonymous of business intelligence.
- Sector: Energy, IT & Telecoms
- Principal Investigator: Javier Roca Pardiñas
- Company: The University of Edinburgh
