Access to clean drinking water is crucial worldwide. Throughout history, various methods of distribution have been developed to ensure that people have access to good quality water. Nowadays, there are various risks associated with water contamination, including those caused intentionally and unintentionally. Responding to such incidents typically involves manual decisionmaking processes, emphasizing the need for automated strategies. This thesis introduces a novel approach employing Mixed Integer Nonlinear Programming (MINLP) to optimize isolation strategies and flushing methods within water distribution systems (WDSs). By integrating mass conservation and energy conversion equations, coupled with Hazen-Williams equation for pressure drop calculations, the proposed model aims to minimize contamination risks arising from various sources, including natural disasters and cyber-attacks. The...

REDES DE COMPUTADORAS PAN (RED DE ADMINISTRACIÓN PERSONAL) LAN (RED DE ÁREA LOCAL) CAN (RED DE ÁREA DE CAMPUS) WAN (RED DE ÁREA EXTENSA) MAN (RED DE ÁREA METROPOLITANA) ETHERNET PLC HMI SENSORES Y ACTUADORES SISTEMA DE CONTROL PROGRAMACION Y COMUNICACION DE LA RED RESULTADOS