| Issue |
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
|
|
|---|---|---|
| Article Number | 03016 | |
| Number of page(s) | 9 | |
| Section | Performance and behaviour of flood defences | |
| DOI | https://doi.org/10.1051/e3sconf/20160703016 | |
| Published online | 20 October 2016 | |
ALOHA: an innovative system for surveillance of hydraulic structures
1 CNR CACOH 4 rue de Chalon sur Saone, Lyon, France
2 SHEM 1 Rue Louis Renault - BP 13383, 31133 Balma Cedex France
3 CNR DSI, 2 rue André Bonin, France
4 Advitam Group Rueil Malmaison, France
a Corresponding author: p.faure@cnr.tm.fr
Developers and operators of a full range of hydroelectricity structures (500 kms of dykes, 19 in-stream structures and 12 high-head installations) for over 100 years, CNR and SHEM are required to guarantee a constant monitoring of their infrastructure to ensure hydraulic safety, meet their regulatory requirements and to be prepared to new challenges: improved efficiencies, optimised monitoring of high risks areas and information sharing between the different operators.
To reach a better surveillance and improve risk management, CNR and SHEM called upon the Advitam Group to set up, in less than 12 months, the innovative software solution ‘ALOHA’ for the inspections and monitoring of their structures to a better knowledge of risk.
This monitoring is ensured by over 15,000 sensors, allowing an analysis of historic data spread over 30 years.
ALOHA, a development based on the ScanPrint® web based software, allows the full range of operators to collect, visualise, analyse and edit all of the auscultation and monitoring data in an integrated platform. To respond to the specific needs of CNR and SHEM, innovative modules were developed for both in-office work and mobile tools.
This article will detail the functional requirements of the CNR and SHEM, the solutions proposed by Advitam with the ALOHA system and the integration of the solution in the risk management.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.