ResiWater deliverable 1.2: Investigation of Use Cases by means of the new secure Sensor Networks and self- learning Monitoring Tools WP1 Use cases specifications, investigation and vulnerability assessments
Autor: | Wagner, M., Kühnert, C., Féliers, C., Cheifetz, N., Weber, J. M., Baruthio, M., Sedehizade, F., Olivier Piller |
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Přispěvatelé: | TZW DEU, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Fraunhofer IOSB), Fraunhofer (Fraunhofer-Gesellschaft), Veolia Environnement (FRANCE), EUROMETROPOLE DE STRASBOURG FRA, BWD DEU, Environnement, territoires et infrastructures (UR ETBX), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), National Recherche Autres (appel d'offres international), irstea, Financement bilatéral franco-allemand ANR BMBF, ANR-14-PICS-0003,ResiWater,Outils, modèles et réseaux sécurisés et innovants de capteurs pour une résilience augmentée des infrastructures liées à l'eau(2014) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: | |
Zdroj: | [Research Report] irstea. 2018, pp.30 HAL |
Popis: | The core of Resiwater project is the development of new sensors and secured sensor networks, self- learning monitoring tools, robust simulation models and vulnerability and resilience assessment tools. To ensure realistic and relevant application on field for water suppliers the project is end user oriented. Increasing the resilience of water distribution systems is a strong target of the project. Consequently the benefits of developed tools have to be investigated and assessed by the perspective of realistic water distribution system failures. Therefore, WP1 aims to specify the use cases with scenarios for each end user (WP1.1) to evaluate vulnerability and resilience of a Water Distribution System (WDS) for the use cases (WP1.3) and to evaluate new tools of the project by the mean of the use cases (WP1.2) as described in the present report. First, the test results for online water quality measurement at the TZW scale network are reported. Then, the self-learning methods and tools are tested for different configurations at the ResiWater three water utility. |
Databáze: | OpenAIRE |
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