Development of salinity level of water sensor via blue led detection

Nazri, Nurbalqis Bahirah (2024) Development of salinity level of water sensor via blue led detection. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Agriculture, environmental studies, aquaculture, industries, and natural waters all benefit from salinity. However, some mining and industrial processes generate saline wastewater, which can contaminate natural water sources if not adequately handled. High quantities of salt in naturally occurring water sources could make them unsafe for human consumption. Salty water has a bad flavor and might make human dehydrated if human drink too much of it. Moreover, it has the potential to affect human health, which can lead to hypertension, kidney issues, and electrolyte abnormalities. Therefore, the purpose of the project is to develop of salinity water level sensor via blue LED detections. The objectives of this project are to develop water concentration sensor using LDR sensor, analyze the sensor performance through blue LED power transfer and optimize the sensor performance by sensitivity, linearity and stability results. The system's inputs and outputs are controlled by an Arduino UNO processor, which is used to measure the saltiness of the water. It is in charge of how the blue LED worked, like turning it on or off. The Arduino UNO send data on how much light reflected from water samples to the LCD so that they could be observed. LDR is the sensor that found out how bright the light is as it went through the water. As a result, a sensitivity value and three kinds of graphs have been made that show linearity, repeatability, and stability. It shows that the more the concentration of salt in water, the less light comes out of it. This invention introduces an improved understanding of salt in drinking water at a low cost and with minimal effort on the part of the user.

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