Turbidity describes how many particles are suspended in water and is an important indicator of water quality, for example in fish farming. Continuous turbidity measurements can help detect changes in the environment and provide early information about conditions that may affect fish health and production.
Most turbidity sensors use light and measure how particles in the water scatter it. However, measurements can gradually become less reliable because biological material grows on the optical surfaces. Air bubbles, water colour and different types of particles can also affect the readings. Sensors therefore require regular cleaning and inspection.
This project develops a sensor that examines the water in several ways at the same time. It measures both scattered light and light transmitted through the water and uses several wavelengths to obtain additional information about water colour and the properties of suspended particles.
By combining these measurements, the sensor will be better able to distinguish real changes in the water from effects caused by fouling, bubbles or other disturbances.
The sensor will also be designed to determine when cleaning is actually required. Mechanical cleaning and UV light for reducing biological growth will be combined with automatic sensor diagnostics.
The goal is a sensor that can operate for long periods with less maintenance while providing more reliable and informative measurements of water quality.
