Hundreds of sewage leaks detected thanks to AI
Sewage: Hundreds of already unreported releases of raw sewage into UK rivers have been detected thanks to artificial intelligence. While scientists identified 926 “spill events” from two wastewater treatment plants over an 11-year period by employing machine learning.
Moreover, the UK Environment Agency said it was “impressing by the accuracy” of the approach. The researchers, who published their study in the journal Clean Water, trained a computer algorithm to recognize. The pattern of flow through a treatment plant when a spill was happening. Algorithms are software-based instructions for solving a problem.
How can Artificial Intelligence help?
In addition, the research led by Prof Peter Hammond, also from the UKCEH. Used a pattern recognition algorithm originally developed for medical genetics. On the other hand, I was using machine learning to detect subtle differences in the shape of children’s faces to help diagnose certain genetic conditions, he said.
Moreover, instead of mapping the 3D shape of a face, here we have the shape of the flow through a wastewater treatment works. While that may seem like a departure, the pattern recognition, and machine learning approach work in the same way.
As the name suggests, pattern recognition is a way of using computing to detect regular or repeating elements in data. Moreover, machine learning is an approach to detecting those patterns using algorithms. That improves automatically, through experience, and through the analysis of data.
On the other hand, the researchers spent years gathering data about flow rates in two treatment plants. While teaching the algorithm to recognize the “shape of the flow”. When a plant was operating normally and when it was spilling untreated wastewater.
Spills that appear to be going unnoticed and unreported
The Environment Agency agreed there were good opportunities should water companies wish to consider the model as a planning tool to help manage pollution and prevent incidents from occurring. Moreover, Prof Singer added: I have spent my career understanding the effects of pollution on our environment and treating the problems understanding better to inform people who make decisions.
However, we cannot afford the polluting impact on our waterways if we want to be able to use them safely for recreation. And if we want to enable a truly green recovery that brings back wildlife into our rivers. On the other hand, many companies are already employing AI techniques in order to manage their assets, a Water UK spokesperson added. We will continue to explore new and innovative techniques to enhance the health of rivers further.