DEVELOPMENT OF GREEN TECH IOT BASED WATER SUPPLY PIPING AUTOMATION USING ARDUINO AND ESP MCU

Abstract

With the rapid advancement of technology, automation has become integral to improving daily tasks, from industrial processes to smart home systems. Automation reduces human effort and enhances safety, especially when powered by reliable energy sources. Many home appliances now incorporate platforms such as Android, GSM, and Wi-Fi for seamless integration. While these applications are common in domestic settings, their benefits can also extend to industrial and environmental management. Given the global issue of declining water levels, effective water management is increasingly essential. This study focuses on the development of a Green Tech IoT-based Water Supply Piping Automation system designed to monitor water flow, detect pipeline leaks, and assess water quality using sensor data transmitted to the cloud. The system eliminates the need for moving parts or battery dependence and aims to promote sustainable water usage through automated, real-time monitoring. This study employs the experimental prototyping method to develop the proposed automation system. The researchers used Arduino Uno and ESP32 microcontrollers, programmed through Arduino IDE in the C language, as the core components of the system. The prototype was designed to perform real-time monitoring of water-related parameters, particularly focusing on leak detection, temperature, and water quality. The system also utilized a solar-powered setup to ensure energy efficiency. The automation process was enhanced by integrating cloud-based monitoring through the Blynk application, which allowed users to receive data remotely and take appropriate action. The developed prototype demonstrated effective functionality, utilizing Arduino Uno and ESP32 microcontrollers to automate the monitoring and regulation of water flow, temperature, and quality. The system was equipped with sensors and powered by solar energy. During testing, the prototype successfully identified pipeline leaks and transmitted real-time data to the cloud platform. Respondents rated the system positively across several indicators, including efficiency, sustainability, safety, and cost-effectiveness. These results affirm the suitability of the selected microcontrollers and the effectiveness of the integrated monitoring solution. The study confirmed that integrating Arduino and ESP-based microcontrollers with IoT and solar power technologies offers a practical and sustainable solution for water pipeline management in residential and community settings. The system’s cloud-based platform enabled real-time monitoring, improving responsiveness to leakages and reducing the time required for detection and repair. The inclusion of solar energy further contributed to the system's environmental sustainability. Future developments may explore more advanced data analytics features and broader deployment in large-scale utility infrastructures.