Network Calming - Using Smart Sensors to Improve Water Asset Performance. Recent high-frequency monitoring in water distribution networks (WDNs) shows that pressure perturbations are significantly more dramatic than expected and cause pipe failures with highly disruptive consequences. This project aims to hydraulically calm WDNs to improve their performance, informed by smart sensors. The project will generate insightful knowledge of the hydraulic behaviour of real WDNs. The outcomes will be new ....Network Calming - Using Smart Sensors to Improve Water Asset Performance. Recent high-frequency monitoring in water distribution networks (WDNs) shows that pressure perturbations are significantly more dramatic than expected and cause pipe failures with highly disruptive consequences. This project aims to hydraulically calm WDNs to improve their performance, informed by smart sensors. The project will generate insightful knowledge of the hydraulic behaviour of real WDNs. The outcomes will be new strategies to identify, eliminate and suppress harmful pressure perturbations, leading to a reduced burst rate, extended asset life, improved system operation and advanced design principles. The resultant sustainable water assets provide significant economic and environmental benefits to the water industry and society.Read moreRead less
Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe co ....Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe condition using new innovative active hydro-acoustic signal generators and sensors, combined with state-of-the-art signal analysis methods. The unprecedented cost-effectiveness of the technology will ensure a broad use in the water industry for targeted and efficient action, creating jobs and saving costs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100481
Funder
Australian Research Council
Funding Amount
$388,673.00
Summary
Illuminating Dark Fibres for Smart Water Asset Monitoring. Smart water networks formed by fleets of acoustic sensors to detect developing cracks in water networks have grown rapidly in the past decade but are costly to install and maintain. This project aims to overcome this challenge by exploiting unused underground optical fibre cables that are ubiquitous in cities. The result will be low-cost and ready-made distributed sensing systems that protect critical water supplies, supported by intelli ....Illuminating Dark Fibres for Smart Water Asset Monitoring. Smart water networks formed by fleets of acoustic sensors to detect developing cracks in water networks have grown rapidly in the past decade but are costly to install and maintain. This project aims to overcome this challenge by exploiting unused underground optical fibre cables that are ubiquitous in cities. The result will be low-cost and ready-made distributed sensing systems that protect critical water supplies, supported by intelligent data analytic algorithms that can translate real-time data into valuable information to optimise water asset monitoring. The research outcomes will stimulate a technological revolution in smart water networks, accelerate water digitalisation globally and bring significant economic and social benefits.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosio ....Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosion and odour management a problem. Innovative control methodology will simultaneously manipulate chemical dosing unit(s) and selected sewage pumping station(s), based on real-time prediction of sewage flows and characteristics both at sources and across the network, to ensure optimal delivery of dosed chemicals to mitigate hydrogen sulphide.Read moreRead less