Artificial neural network software improves sludge pipe design
Case study: Artificial neural network software has been developed to design and optimise sludge pipelines at the Eastern Treatment Plant, and visualise sludge flow.
Case study: Artificial neural network software has been developed to design and optimise sludge pipelines at the Eastern Treatment Plant, and visualise sludge flow.
Case study: we worked with researchers and the VICSES to pilot an innovative and effective approach to community flood education.
Case study: A series of dynamic wellbeing initiatives has not only improved our employee's health and wellbeing, but also changed perceptions. Read the case study to learn more.
Case study: we developed a new digital platform that streamlines the application process for accessing sewers.
Case study: A new technology is automatically sequencing pumping and water distribution across our infrastructure network.
Case study: We're working with leading universities to develop a new, evidence-based operating protocol for our Western Treatment Plant's anaerobic lagoons, in order to manage sludge and optimise biogas production.
Cases study: a new automated system at Patterson Lakes will remotely close the town's flood gates as soon as we are alerted about potential flood conditions.
Case study: a trial has shown that intermittently operating aerators at our reservoirs can achieve the same water quality outcomes as continuous aeration.
Case study: artificial intelligence has been used with drone imagery to detect vegetation in retarding basins, potentially reducing monitoring costs to ensure they meet design requirements.
Case study: we collaborated with a number of partners to alert authorities about potential clusters of people infected with the COVID-19 virus, and timelines of potential outbreaks.