Large scale surveillance, detection and alerts information management system for critical infrastructure
Large scale surveillance, detection and alerts information management system for critical infrastructure
A proof-of-concept system for large scale surveillance, detection and alerts information management (SDAIM) is presented in this paper. Various aspects of building the SDAIM software system for large scale critical infrastructure monitoring and decision support are described. The work is currently developed in the large collaborative ZONeSEC project (www.zonesec.eu). ZONeSEC specializes in the monitoring of so-called Wide-zones. These are large critical infrastructure which require 24/7 monitoring for safety and security. It involves integrated in situ and remote sensing together with large scale stationary sensor networks, that are supported by cross-border communication. In ZONeSEC, the specific deployed sensors around the critical infrastructure may include: Accelerometers that are mounted on perimeter fences; Underground acoustic sensors; Optical, thermal and hyperspectral video cameras or radar systems mounted on strategic areas or on airborne UAVs for mission exploration. The SDAIM system design supports the ingestion of the various types of sensors platform wide-zones’ environmental observations and provide large scale distributed data fusion and reasoning with near-real-time messaging and alerts for critical decision-support. On a functional level, the system design is founded on the JDL/DFIG (Joint Directors of Laboratories/ Data Fusion Information Group) data and information fusion model. Further, it is technologically underpinned by proven Big Data technologies for distributed data storage and processing as well as on-demand access to intelligent data analytics modules. The SDAIM system development will be piloted and validated at various selected ZONeSEC project wide-zones [1]. These include water, oil and transnational gas pipelines and motorway constructions in six European countries.
237-246
Sabeur, Zoheir
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Zlatev, Zlatko
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Melas, Panagiotis
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Veres, Galina
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Arbab-Zavar, Banafshe
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Middleton, Lee
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Museux, Nicolas
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May 2017
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Zlatev, Zlatko
8f2e3635-d76c-46e2-85b9-53cc223fee01
Melas, Panagiotis
bf7a965b-691f-4380-96d1-f2f8eb319c89
Veres, Galina
3c2a37d2-3904-43ce-b0cf-006f62b87337
Arbab-Zavar, Banafshe
40e175ea-6557-47c6-b759-318d7e24984b
Middleton, Lee
f165a2fa-1a66-4d84-9c58-0cdaa8e73272
Museux, Nicolas
2eba4151-dc26-41c2-bc47-cfe85b1b56d8
Sabeur, Zoheir, Zlatev, Zlatko, Melas, Panagiotis, Veres, Galina, Arbab-Zavar, Banafshe, Middleton, Lee and Museux, Nicolas
(2017)
Large scale surveillance, detection and alerts information management system for critical infrastructure.
Hřebíček, Jiří, Denzer, Ralf, Schimak, Gerald and Pitner, Tomáš
(eds.)
In Environmental Software Systems. Computer Science for Environmental Protection: 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, May 10-12, 2017, Proceedings.
vol. %07,
Springer.
.
(doi:10.1007/978-3-319-89935-0_20).
Record type:
Conference or Workshop Item
(Paper)
Abstract
A proof-of-concept system for large scale surveillance, detection and alerts information management (SDAIM) is presented in this paper. Various aspects of building the SDAIM software system for large scale critical infrastructure monitoring and decision support are described. The work is currently developed in the large collaborative ZONeSEC project (www.zonesec.eu). ZONeSEC specializes in the monitoring of so-called Wide-zones. These are large critical infrastructure which require 24/7 monitoring for safety and security. It involves integrated in situ and remote sensing together with large scale stationary sensor networks, that are supported by cross-border communication. In ZONeSEC, the specific deployed sensors around the critical infrastructure may include: Accelerometers that are mounted on perimeter fences; Underground acoustic sensors; Optical, thermal and hyperspectral video cameras or radar systems mounted on strategic areas or on airborne UAVs for mission exploration. The SDAIM system design supports the ingestion of the various types of sensors platform wide-zones’ environmental observations and provide large scale distributed data fusion and reasoning with near-real-time messaging and alerts for critical decision-support. On a functional level, the system design is founded on the JDL/DFIG (Joint Directors of Laboratories/ Data Fusion Information Group) data and information fusion model. Further, it is technologically underpinned by proven Big Data technologies for distributed data storage and processing as well as on-demand access to intelligent data analytics modules. The SDAIM system development will be piloted and validated at various selected ZONeSEC project wide-zones [1]. These include water, oil and transnational gas pipelines and motorway constructions in six European countries.
Text
Large_Scale_Surveillance_Detection_and_Alerts_Information_Management_System_for_Critical_Infrastructure
- Accepted Manuscript
More information
Accepted/In Press date: 29 January 2017
e-pub ahead of print date: 24 April 2017
Published date: May 2017
Venue - Dates:
International Symposium on Environmental Software Systems, , Zadar, Croatia, 2017-05-10 - 2017-05-12
Identifiers
Local EPrints ID: 412613
URI: http://eprints.soton.ac.uk/id/eprint/412613
PURE UUID: c79c8007-1471-4e3d-bf89-e8e58f79058b
Catalogue record
Date deposited: 24 Jul 2017 16:32
Last modified: 15 Mar 2024 21:55
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Contributors
Author:
Zoheir Sabeur
Author:
Zlatko Zlatev
Author:
Panagiotis Melas
Author:
Galina Veres
Author:
Banafshe Arbab-Zavar
Author:
Lee Middleton
Author:
Nicolas Museux
Editor:
Jiří Hřebíček
Editor:
Ralf Denzer
Editor:
Gerald Schimak
Editor:
Tomáš Pitner
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