In this Webcast, we will introduce how digital platforms including artificial intelligence (AI) and machine learning (ML) can be used to improve asset management strategies, operational efficiencies, enhance source control, validate unit process performance, predict product water quality and making sound decisions for assessing suitability of product water for human consumption. The data collected from a pilot and full-scale potable reuse train have been used to develop artificial neuron networks as part of the ML platform that clearly demonstrated ML can be used to predict, for example, the product water TOC concentration of a pilot advanced treatment facility and the specific fluxes on the third stage of a full-scale advanced treatment facility as the feed quality and operating conditions are changed. The methodology used and model outputs will be introduced during Webcast. We will also present how we can couple AI/ML concept with the Internet of Things (IoT) and next generation of the SCADA systems to operate and maintain assets efficiently while significantly enhancing public and regulatory confidence in potable reuse projects.
Global Meet Event