Artificial Intelligence and Water Resource Recovery Facilities

Grand Rapids and Grand Rapids, Michigan, USA

Water Resource Recovery Facilities (WRRF) receive water after it has been used by a community and processes it to protect human health and the environment and to extract valuable resources such as energy and nutrients. Professor Glen Daigger and his team are using advancements in big data, data mining, and artificial intelligence to improve performance of the highly advanced Grand Rapids WRRF.

Water Theme

Funding Source

Daijaing Environmental, Nanjing, Republic of China

About the Project

With a core mission to protect human health and the environment, the Grand Rapids, MI, WRRF is diligently pursing a path of greater service to the community and increased sustainability by recovering useful resources from the domestic, commercial, and industrial used water it processes.

Implementing unique approaches to receiving and processing industrial used water (Grand Rapids is the “Beer City”), it is becoming a regional and national leader and example of this evolving paradigm.

 

Extracting increased value from the used water stream also means an increasingly complicated processing facility, which represents one of the challenges the WRRF is addressing.  Grand Rapids is addressing this challenge by aggressively implementing advanced sensor technology to compliment traditional methods of process facility data collection.  The challenge created by a significantly increased stream of data is the need to process it so that it is useful for decision-making.  Fortunately developments in big data, data mining, and artificial intelligence creates the possibility of turning the data challenge into an opportunity for optimizing the facility and further improving resource efficiency.

 

The collaboration between Grand Rapids and the University of Michigan promises to significantly enhance Grand Rapid’s ability to extract resources from the used water stream and contribute to the sustainability of the Grand Rapids community.  Learning about the opportunities created by the application of advanced sensor technology, coupled with data mining and artificial intelligence promises lessons that can be applied to other facilities, not only within the region but nationally and internationally.  Thus, a further objective of the research team is to generalize their results and share them broadly.

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