Multi-level information fusion for spatiotemporal monitoring in water distribution networks

作者：

Highlights：

• Multi-level information fusion offers improved water quality monitoring under uncertainty.

• The NF-BRB and high-level BRB systems provide flexible inference frameworks based on WQP features.

• Hybrid learning and dynamic fusion algorithms significantly enhance the detection performance.

• Validation strategy with projecting anomaly signal patterns allows performance evaluation.

摘要

•Multi-level information fusion offers improved water quality monitoring under uncertainty.•The NF-BRB and high-level BRB systems provide flexible inference frameworks based on WQP features.•Hybrid learning and dynamic fusion algorithms significantly enhance the detection performance.•Validation strategy with projecting anomaly signal patterns allows performance evaluation.

论文关键词：Hierarchical belief rule-based system,Fuzzy evidential reasoning,Dynamic fusion,Spatiotemporal monitoring,Water distribution network

论文评审过程：Available online 1 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.014