IoT Based Smart Water Meter for Domestic Utility

In the absence of water, our kind would face extinction. Rapid population growth and increasing urbanization have become water usage monitoring a critical issue in our society. The water use of residences may be monitored, regulated, and perhaps reduced. The Internet of Things has recently introduced the potential for electronic devices, systems, and applications that might diminish water use in urban environments and structures. Although extensive study has been conducted on smart meter systems utilizing the IoT, there is significantly less investigation into the IoT sensor node, especially concerning battery longevity. This research aims to create and assess an efficient and effective data collection approach for IoT-based smart metering applications, emphasizing the significance of energy consumption. The system comprises a Wi-Fi-ESP8266, an Arduino Uno, and water flow sensors. This research introduces an IoT smart water meter system employing two ESP32 microcontrollers arranged in a master-slave configuration. It utilizes Wi-Fi connectivity for instantaneous monitoring and control. Utilizing a water flow sensor and the subordinate ESP32, connected to a local Wi-Fi network, data on water use may be transmitted wirelessly to the primary ESP32. Users may remotely track their water consumption using web platforms or mobile applications, while the master unit aggregates all data to provide real-time alerts for any irregular usage. The Wi-Fi-enabled communication among the ESP32 units renders the design optimal for both residential and commercial applications, as it eliminates the necessity for wired connections. To enhance water management, install a smart meter and utilize its features, such as leak detection and water conservation insights. The ESP32's Wi-Fi capabilities facilitate integration into larger IoT ecosystems, enhancing the system's scalability. This system provides comprehensive, real-time data to facilitate decision-making, promoting sustainable water consumption while being cost-effective.