Alex Lovett’s Post

🌊🔬🤖 Harnessing the power of machine learning to optimize wastewater treatment! Discover how AI is enhancing efficiency, reducing costs, and improving environmental outcomes in the water industry. A major leap towards sustainable water management. https://lnkd.in/dm5REi-3 #MachineLearning #AI #Wastewater #WaterTreatment #Efficiency #Sustainability #Innovation #Technology #Environment #WaterManagement

Great review of treatment technologies which can be applied to fine fluid tailings. Because tailings are not just oilsands process affected water and the solid portion (fine fluid tailings, mixed fines tailings, coarse sand tailings, etc) without remediation are contaminated surface and sub-surface soils and these tailings deposits are being used to create terrestrial closure features on reclamation landscapes Alberta Energy Regulator (AER) Canada’s Oil Sands Innovation Alliance (COSIA) Suncor Syncrude Canada Ltd. Canadian Natural Resources Limited (CNRL) Imperial Oil Athabasca Chipewyan First Nation Mikisew Cree First Nation

FYLD is here for the #water industry in Australia and New Zealand, leveraging #AI for rapid leakage mitigation. Let me show you how our AI platform can transform your water management. #safety #riskassesment #jsea #jse #swms

Can Artificial Neural Networks find leaks in pipes? We have tried to answer this question in a scientific paper in the IWA Publishing journal Water Supply. The paper is free to read and download. Enjoy! Thanks to Erik Nilsson, Didrik Nilsson, Ebba Gröndahl, David Rehn and Tommy Giertz for great collaboration. REF: Sörensen, J., Nilsson, E., Nilsson, D., Gröndahl, E., Rehn, D., Giertz, T., 2024. Evaluation of ANN model for pipe status assessment in drinking water management. Water Supply 24, 1985–1998. ABSTRACT: Non-revenue water due to pipe leakages presents a significant global challenge, impacting both the economy and environmental sustainability. The current approach to pipe management for water utilities in Sweden is mainly reactive; leaks are repaired when detected, sometimes with large costs if the leakage is extensive and critical. With this study, we want to focus on proactive pipe network management by using an Artificial Neural Network (ANN) model to estimate the probability of leakage in water pipes. The ANN model was trained on leaks that occurred over 10 years. A comparison with leaks reported after the training shows that the model succeeds in identifying groups of pipes with a higher leakage frequency. Evaluation of both new and historical leaks in four different water pipe networks in Sweden showed that a higher prediction value from the ANN model was linked to a higher occurrence of leakage. This indicates that the ANN model succeeds in identifying some of the combinations of attributes that lead to leakage. An evaluation of the input attributes in the ANN model found that the most important attributes for leakage prediction were pipe material, pipe age, adjacent problems on the pipe stretch, pipe length and pipe dimension.

💧🤖🌍 Optimizing wastewater treatment with AI! Cutting-edge models are transforming how we manage and purify water, enhancing efficiency and sustainability. This tech innovation is a game-changer for protecting our water resources and promoting a cleaner, greener future. https://lnkd.in/gBpa-Bu7 #AI #Water #Sustainability #Innovation #Technology #Wastewater #Efficiency #Environment #GreenTech #CleanWater

🚰 Transforming water management with AI With regulatory pressures mounting and environmental risks increasing, UK utilities are urgently required to halve water leakage by 2050. Discover how FYLD’s AI technology is addressing this challenge by: - Significantly cutting leakage & costs - Improving collaboration & decision-making - Boosting customer satisfaction Dive into our latest blog to see the impact of AI in transforming water utility management. ➡️ Read the full article here: https://lnkd.in/gNvgGfF2 #watermanagement #AI #leakdetection #utilities #sustainability

Great article about #ai entering utilities and how it can be leveraged to help with leakages brought on by aging infrastructure and other causes. #Ai #infrastructure #leakage #water

The team at O&M Solutions, LLC are in the very early stages of exploring its integration, and I found this article insightful. It highlights AI's ability to enhance efficiency and sustainability in the industry. What's your take on AI's role in environmental management? https://lnkd.in/eUczNJty #InnovationInWastewater #AIAdvancements #SustainableSolutions #wastewatertreatment #wastewatermanagement #artificialintelligenceforbusiness

This summer, Defra will be releasing the final version of the Continuous Water Quality Monitoring regulations, which will mandate water companies to monitor rivers near discharge points. While this marks a positive step forward, the estimated cost of implementing and operating traditional monitoring methods could potentially reach £15 billion over the next decade.   George Hesmondhalgh will be leading our Smart Rivers initiative, where we are pioneering the utilization of cutting-edge technology, AI, and machine learning to deliver real-time, dependable river health data at a significantly reduced cost.   Discover more about the promising future of river monitoring in his latest article by featured in Smart Water Magazine: https://lnkd.in/d34t-ggR #WaterManagement #EnergySector #UtilityIndustry

🚀 Embracing the Future: How AI is Revolutionizing Water Infrastructure Optimization 🌊 🔄 Paradigm Shift with AI: AI is rapidly changing the game for wastewater utilities. While data analytics and machine learning are already employed, AI represents a paradigm shift by enabling systems to learn, reason, adapt, and function with higher autonomy. With AI's continuous learning and optimization capabilities, the possibilities for wastewater treatment are endless. ⚙️ Optimizing Treatment Processes and Driving Net Zero Progress: From treatment plant performance to predictive maintenance, AI-driven insights offer significant efficiency gains, resulting in substantial cost and time savings. AI emerges as a catalyst for achieving net zero operations, accelerating sustainability initiatives, and decarbonization efforts. By optimizing treatment processes, enabling predictive maintenance, and enhancing anaerobic digestion, AI reduces energy usage, lowers carbon footprints, and supports wastewater companies in making strides towards net zero. 🤖 Concerns and Ethical Implementation: However, as AI adoption grows, ethical considerations take centre stage. To benefit communities by improving public health, environmental quality, and service affordability, AI systems must be transparent, explainable, and unbiased. Addressing workforce concerns, AI should be an empowering tool for human operators, not a replacement. ❓ What do you think? Is Artificial Intelligence the future for water infrastructure optimisation? #AI #WaterInfrastructure #Sustainability #Innovation #FutureTech #WaterTreatment