Detection of Water Quality in Sediment Filter for Water Purification System

Efficient water purification is vital for ensuring access to clean and safe drinking water. One essential component of water purification systems is the sediment filter, responsible for removing particulate matter and debris from the water. Monitoring and maintaining the performance of sediment filters are critical to guarantee the overall effectiveness of the water purification process. This study focuses on the development of a detection method to assess the water quality within sediment filters. The proposed detection method combines advanced sensing technologies and data analysis techniques to continuously evaluate the sediment filter's efficiency and identify potential issues. The system can promptly detect deviations from optimal performance by integrating real-time monitoring of key water quality parameters, such as turbidity, sediment concentration, and pressure differentials. Additionally, machine learning algorithms are employed to analyze the collected data, enabling the system to predict sediment filter clogging and degradation trends.