at 08H30 | 518 C

Artificial Intelligence in Support of the Environment

Moderated by: Robert Haller, CWWA
Innovation and clean technology

- Demystifying Artificial Intelligence: Applications in the Environment Sector

Artificial intelligence is more and more present in our environment, but before implementing applications of artificial intelligence, we must know what it is and what it can bring us. During this presentation, we will demystify what this new technology is. As a first step, we will clarify the vocabulary frequently seen in the media: Artificial Intelligence, Deep Learning, Genetic Algorithm and Internet of Things. In a second step, we will quickly skip the evolution of artificial intelligence since the 1980s, to help us understand why technology is happening today. Thirdly, we will explore the typical applications of deep learning in the environmental sector, as well as the limitations encountered. Using handy examples and using a common vocabulary, the manager will now be equipped to understand artificial intelligence, find out what the application opportunities are in his industry, what the potential gains are, and what the limitations are with the current technology.

- Using Machine-Learning for Real Time Control of the Chemical Quality of Boring Machine Cuttings

ENVISOL has had the opportunity to conduct a project with a strong AI component. The main objective of the talk is to give a feedback on the key steps of the project : from the data acquisition, the measurements methodology and the first statistical analysis to the implementation of Machine Learning algorithms that give away the final output.Machine learning fulfilled a need in gaining time, money and efficiency in the chemical characterisation of cuttings from boring machine. "Random-Forest" algorithms, trained on built datasets, make possible a real-time classification of those cuttings.This talk, which aims to be accessible to everyone, will go through the main steps while avoiding going into unnecessary details. Limitations and difficulties encountered will also be developed to give a global picture of the use of Machine Learning in that practical and specific application.

- Artificial Intelligence to Catalyze a Circular Economy in the Water Industry

In recent years, there has been a lot of effort on resource recovery from wastewater treatment processes. However, little attention has been put on the recovery of parts and equipment that are obsolete for some utilities but still fully functional for other small businesses, industrial plants, and municipalities. This situation is partly due to the fact that existing solutions to deal with equipment surplus are time consuming and require ressources.In this presentation we will show how artificial intelligence can become a catalyst for a circular economy in the water industry. We will begin the presentation with an overview of existing solutions for managing surplus inventory. We will then explain how to combine open data and artificial intelligence to facilitate the sharing and exchange of parts and equipment within the water industry. Finally, we will touch on rewards programs for reducing the carbon, water and energy footprint linked to re-using existing equipment.