Conference paper Open Access

Developing and testing a Fuzzy Logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting

Abdel-Aal, Mohamad; Shepherd, Will; Ostojin, Sonja; Mounce, Stephen; Shucksmith, James; Schellart, Alma; Skipworth, Pete; Steinhardt, Joerg; Tait, Simon

The aim of the CENTAUR project (Cost Effective Neural Technique for Alleviation of Urban flood Risk) is to develop a low cost system that is able to mobilise unused distributed storage within sewer networks during rainfall events and so reduce local flood risk. The current system uses a Fuzzy Logic algorithm to regulate a flow control device to reduce the risk of downstream flooding in sewers by maximising the usage of existing upstream storage capacity.

This paper presents results from a laboratory study using a full scale pilot system and work undertaken to refine and prove the methodology before implementation in a sewer network.

CENTAUR is an Innovation action funded by European Union’s (EU) Horizon 2020 research and innovation programme under grant agreement No 641931.

All versions This version
Views 328328
Downloads 169169
Data volume 139.4 MB139.4 MB
Unique views 295295
Unique downloads 155155


Cite as