Técnicas avanzadas de control para quemadores
- Placer Maruri, Emilio
- J. R. Llata Director
- Luciano Alonso Rentería Tutor
Defence university: Universidad de Cantabria
Fecha de defensa: 06 May 2022
- Leopoldo Acosta Sánchez Chair
- Francisco Jesús Velasco González Secretary
- Montserrat Gil Martínez Committee member
Type: Thesis
Abstract
The evolution of technology that has been taking place in recent years, together with the awareness of security, understood from the perspective of demographic evolution in which there are more and more vulnerable people (children, but above all the elderly), implies the search of new control systems to cover the new needs. The complexity of this challenge, in a changing economic and technological environment, forces companies to improve their solutions through innovation. For this, companies can rely on the following tools. Firstly, data mining, as an advanced and systematic information management process aimed at supporting decision-making on the suitability of systems. Secondly, artificial intelligence that allows the creation of systems that are capable of adapting to complex multivariable environments such as combustion management. The results of the research show that both tools contribute to the innovation of gas appliance safety systems by adding new functions hitherto unknown that will allow the state of the art in this sector to be updated.