An Artificial Intelligence Platform for Asset Management Contributes to Better Decision‐making Tools for Operations, Maintenance, and Utility Management: Sen et al. (1st April 2018)

• Record Type: Journal Article
• Authors: Sen, D.; Fashokun, A.; Angelotti, R.; Brooks, M.; Bhaumik, H.; Card, C.; Lodhi, A.; Godrej, A.; Chung, C.
• Is Part Of: Water environment research. Volume 90:Number 4(2018)
• Page Start: 355
• Page End: 375
• Publication Date: 2018-04-01
• Subjects: asset management -- artificial intelligence -- process models -- wastewater -- reuse; Water quality management -- Periodicals; Water -- Purification -- Periodicals; Water -- Pollution -- Periodicals; Water -- Pollution; Water -- Purification; Water quality management; Sewage; Water Pollution; Periodicals; Electronic journals; Periodicals; 628.16
• DOI: 10.2175/106143017X15131012152762
• Languages: English
• ISSNs: 1061-4303

Abstract

ABSTRACT: : An Artificial Intelligence system was developed and implemented for water, wastewater, and reuse plants to improve management of sensors, short and long‐term maintenance plans, asset and investment management plans. It is based on an integrated approach to capture data from different computer systems and files. It adds a layer of intelligence to the data. It serves as a repository of key current and future operations and maintenance conditions that a plant needs have knowledge of. With this information, it can simulate the configuration of processes and assets for those conditions to improve or optimize operations, maintenance and asset management, using the IViewOps (Intelligent View of Operations) model. Based on the optimization through model runs, it is able to create output files that can feed data to other systems and inform the staff regarding optimal solutions to the conditions experienced or anticipated in the future.