Session: Using Big Data to Improve Process Operations
Artificial Intelligence for Cost Optimization of Treatment Processes
The schedule and timing of individual presentations within a session is subject to change based on the actual length of each presentation. Contact hours are awarded for attendance at the session and will be given for the actual length of the session.
Thursday, October 22, 2020
10:10 AM – 10:50 AM PDT
Practice Area: Operations & Maintenance Electrical & Instrumentation
O & M Growth Leader - West Region Jacobs San Miguel, California
21st Century technologies such as machine learning have been of interest to water utilities. Real Time Decision Support Systems (RT-DSS) can bring cyber and physical systems together to deliver actionable information. RT-DSS has enabled O&M cost reductions by ~25%, process safety, and stability, and increasing the margin of compliance.
Describe ways machine learning can assist operational staff and planning staff to manage water and wastewater treatment facilities.
Discuss how machine learning has been used at other facilities to increase compliance margins and reduce energy and chemical consumption.
Demonstrate understanding of Real Time Decision Support Systems (RT-DSS).