Contamination Event Detection with Multivariate Time-Series Data in Agricultural Water Monitoring

Contamination Event Detection with Multivariate Time-Series Data in Agricultural Water Monitoring

Time series data of multiple water quality parameters are obtained from the water sensor networks deployed in the agricultural water supply network. The accurate and efficient detection and warning of contamination events to prevent pollution from spreading is one of the most important issues when p...

Full description

Bibliographic Details
Main Authors: Yingchi Mao, Hai Qi, Ping Ping, Xiaofang Li
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
event detection
back propagation model
multivariate water quality parameters
time-series data
spatial-temporal model
connected dominating set
water supply network
Online Access:https://www.mdpi.com/1424-8220/17/12/2806

Internet

https://www.mdpi.com/1424-8220/17/12/2806

Similar Items