This paper describes and proposes different engineering techniques for designing an intelligent system focused on environmental protection, based on stationary and mobile subsystems for monitoring physical variables. The variables selected for monitoring were water level, flow rate, pH, vibration, and surface water temperature, which are transmitted via radio frequency to an external monitoring center and a mobile unit. This system was designed using an optimized analysis of polynomial models to correlate each measured physical variable. Furthermore, this research also integrates the measurement subsystems through wireless data transmission between the sensors and the stationary and mobile receiving centers. This allows for the consolidation of all measured data to obtain a comprehensive view of the main target, such as a lake or river. Such bodies of water can cause serious damage in ci...

A small, intelligent desalination submarine system is proposed, designed to achieve optimal seawater desalination that can be adapted and deployed along Peru's Pacific coast. This desalination submarine was designed using thermodynamic analysis to organize measurements of physical variables in seawater and during the desalination process (temperature, position, velocity, force). The desalination system was programmed autonomously to make its own decisions based on the physical variables measured by the submarine's sensors, including correlating these variables with theoretical models of chemistry and thermodynamics. These models, in turn, support the development of optimal, adaptive, and predictive systems for desalination. The proposed system can operate on the ocean surface and assist communities affected by water scarcity.