Thesis Abstract

Abstract
The continuous monitoring of water quality is crucial for ensuring the safety and sustainability of water resources. In recent years, the advancement of Internet of Things (IoT) technology has provided opportunities to develop innovative solutions for water quality monitoring. This thesis presents the development of a portable water quality monitoring system using IoT technology. The system is designed to collect real-time data on various water quality parameters and transmit the information wirelessly to a central server for analysis and visualization. The introduction section provides a background of the study, highlighting the importance of water quality monitoring and the potential benefits of IoT technology in this context. The problem statement identifies the limitations of existing water quality monitoring systems and the need for a more flexible and cost-effective solution. The objectives of the study are outlined to guide the research process and ensure the successful development of the proposed system. The literature review section explores existing research on water quality monitoring systems, IoT technology applications in environmental monitoring, and relevant sensor technologies. The review identifies key challenges and opportunities in the field and informs the design and implementation of the proposed system. The research methodology section details the steps taken to design, develop, and test the portable water quality monitoring system. It includes information on sensor selection, system architecture, data transmission protocols, and testing procedures. The methodology ensures the reliability and accuracy of the system for real-world applications. The discussion of findings section presents the results of testing and validation of the developed system. It includes analysis of data collected from different water sources and compares the performance of the system with traditional monitoring methods. The findings demonstrate the effectiveness and reliability of the IoT-based water quality monitoring system. In conclusion, the study highlights the significance of the developed system in improving water quality monitoring practices. The system offers a portable, cost-effective, and efficient solution for monitoring water quality in various settings. The thesis contributes to the advancement of IoT technology in environmental monitoring and provides a foundation for future research and development in this field.

Thesis Overview