Nowadays, numerous sensors are installed at membrane facilities that collect a considerable amount of data each hour. Analyzing these data brings tremendous opportunity for the operators to better operate the system for tasks such as membrane cleaning or optimize chemical dosing. Currently, many facilities still perform manual data collection and review maintenance logs infrequently. These methods severely limit a utility’s ability to leverage new, real-time data solutions. Consequently, by the time operators receive the KPIs, sometimes more than a month will have passed, whereby the window of opportunity to preventatively take action is lost. Understanding the challenges RO facilities face when attempting to hasten the data collection process, calculate KPIs, and inform stakeholders in real-time is key for an effective RO O&M strategy. Effective operation of RO systems is a data-intensive, multivariate statistical, preventative maintenance problem. Advanced techniques such as Artificial Intelligence (AI) offer tremendous benefits for modeling and predicting complex systems in different industries as well as the water industry. Recently there are some applications of using AI techniques in membrane operations that describe the efficiency of these tools for membrane facilities. This webinar will review what is AI and how it could be used as a supporting tool for membrane operation. Especially we will focus on membrane cleaning and review what data can be used for training AI models. We will review six steps needed for developing an AI model from the beginning of business understanding to the end for AI model deployment. Finally, we will discuss how AI can be used to support operators to make more informed decisions on membrane cleaning. Opportunities and challenges of using AI for this procedure will be discussed during this webinar.
This presentation is available to AMTA Members only.
- Javad Roostaei
- Hazen and Sawyer
- AMTA Membrane Cleaning Webinar Part 4, Online
- Membrane Cleaning Webinar Series
- Artificial Intelligence, Data-driven Membrane Operations, Predictive Analytics