Application of Logistic Regression Algorithm to the Water Potability System using Thermal Filtration

Abstract

Nowadays, the population is growing and our re- quirements are increasing, one of these essential needs which are growing exponentially is freshwater. This kind of water can be utilized for a variety of purposes, including bathing, agriculture, food processing, leisure activities, and as an additional source of electricity. But above all, it is used as clean, potable water for human use. Although it may seem endless, the truth is quite literally the opposite: freshwater makes up a very small portion of the world’s total water supply, and as long as humans continue to use it, they will eventually run out of drinkable freshwater. Fortunately, scientists have long anticipated this crisis and have worked to find creative solutions, one of which is desalination, which is the process of taking the largest type of water which is seawater, and turning it into fresh water through a variety of techniques. The researchers want to create a device that uses copper coils to absorb steam from evaporation and assist it in condensing back into water, containers for the salt water, and solenoid valves to aid in the cooling of the copper coil to prevent the coil from overheating, and finally, a mechanism that uses thermal filtration to desalinate seawater. Using a PH sensor to measure the water’s acidity, an electrical conductivity to measure its salinity, and turbidity to measure its clarity, the researchers also hope to create an analysis system to verify the potability of the desalinated water. Using the sensor data, they will create a program based on logistic regression to automatically calculate the water’s potability. The equipment will distribute the potable desalinated water into storage once its potability has been confirmed.