Integration of Flow Sensors into Cyber-Physical Systems for Intelligent Water Resource Management in Residential Environments

Abstract

The growing scarcity of natural resources necessitates the development of more efficient technologies for water management in residential settings. This study introduces a solution based on Cyber-Physical Systems (CPS) for intelligent water monitoring, rooted in the RAMI 4.0 architectural model and the Asset Administration Shell (AAS) concept. The primary objective was to ensure interoperability and standardized communication between the physical and digital environments. Utilizing an experimental and quantitative methodology, a functional prototype was developed using the YF-S201B flow sensor integrated with an ESP8266 microcontroller, employing MQTT and OPC UA communication protocols. The AAS was implemented to serve as the digital representation of the asset, facilitating centralized visualization and data management. The results obtained validate the effectiveness of the proposed architecture, demonstrating accuracy in real-time monitoring of flow rates and accumulated volumes. It is concluded that applying Industry 4.0 technologies in residential contexts enables early leak detection and promotes sustainability, providing a robust and scalable solution for modern home automation.