Efficient Online Source Identification Algorithm for Integration within Contamination Event Management System

Autor: Lea Meyer-Harries, Jochen Deuerlein, Nicolai Guth
Rok vydání: 2017
Předmět:
DOI: 10.5194/dwes-2017-16
Popis: The automatic identification of the source of a contamination is an important component of an early warning and event management system for security enhancement of water supply networks. Whilst a number of algorithms have been published on the algorithmic development, only few information exists about the integration within a comprehensive real-time Event Detection and Management System. In the following the analytical solution and the software implementation of a real-time source identification module and its integration within a web-based Event Management System is described. The development was part of the project SAFEWATER, which was funded under FP 7 of the European Commission.
Databáze: OpenAIRE