THE INTEREST OF GEOGRAPHICAL INFORMATION, ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY FOR THE UNDERGROUND NETWORK REPRESENTATION

https://doi.org/10.24057/2414-9179-2016-1-22-5-7

View or download the article (Eng)

About the Author

M. Lacroix

Université Pierre et Marie Curie
Russian Federation

METIS Department

Paris, France. 1Spatial, Arcueil

Abstract

Two years ago, 63 people died and more than 150 were seriously injured in Beijing (China) because of damage to a hydrocarbon pipeline. Urban networks are invisible because usually buried between 1 and 1,5 meters underground. They should be identified to prevent such accidents which involve workers as well as the public. Rural and urban districts, network concessionaries and contractors: everyone could benefit from their networks becoming safer. To prevent such accidents and protect workers and the public as well, some new regulations propose to identify and secure the buried networks. That’s why it is important to develop a software which deals with the risk management process and also about the risk visualization. This work is structured around three major sections:
– the utility of the Geographical Information to determine the minimal distances and the topological relations between the networks themselves, and also with the other element in their vicinity;
– the use of some Artificial Intelligence tools, and more particularly of Expert System, to take the current regulation into account and determine the accident risk probability;
– the contribution of virtual reality to perceive the underground world.

Keywords

Geographical Information, Risk cartography, Underground networks, Artificial Intelligence, Virtual Reality visualization.

References

  1. Arrêté Du 4 Août 2006 Portant Règlement de La Sécurité Des Canalisations de Transport de Gaz Combustibles, D’hydrocarbures Liquides Ou Liquéfiés et de Produits Chimiques., n.d. http://www.legifrance.gouv.fr/affichTexte.do?cidTexte=LEGITEXT000006054422
  2. Arrêté Du 15 Février 2012 Pris En Application Du Chapitre IV Du Titre V Du Livre V Du Code de L’environnement Relatif À L’exécution de Travaux À Proximité de Certains Ouvrages Souterrains, Aériens Ou Subaquatiques de Transport Ou de Distribution. Accessed March 11, 2014. http://www.legifrance.gouv.fr/affichTexte.do?cidTexte=JORFTEXT000025391351&categorieLien=vig.
  3. Bouillé F. «Un Modèle Universel de Banque de Données Simultanément Portable, Répartie », thesis, 1977.
  4. Bouillé F. «Chapitre 10.6 – Relations entre réseaux – Superposition, intersection, emboîtement », http://fad.ensg.eu/moodle/course/category.php?id=12, 2012.
  5. Lacroix M. Proceedings of Int. Conf. CEMEPE-SECOTOX «Geographical Information Science in Environmental Management and planning», «Dealing with the network risk cartography » June 15–17 2015, Mykonos, Greece. Pp. 651–656.
  6. Lacroix M. Dealing with topological relations in underground networks, Proceedings of Int. Conf. InterCarto-InterGIS 21 «Sustainable Development of Territories: Cartography and GI Support», November 12–14 2015, Krasnodar and Sochi, Russia. Pp. 529–539.
  7. Lacroix M. Int. Conf. ICC&GIS «Early Warning and Disaster / Crisis Management»: «Dealing with the creation of an Artificial Intelligence tool taking the underground network uncertainties and regulations into account», 13–18 june 2016, Albena, Bulgaria.
  8. Lacroix M. 2016, Int. Conf. RIMMA 2016 «RISK Information Management, Risk models and Applications»: «Artificial Intelligence tool and geographical information to implant networks», 27–29 june 2016, Berlin, Germany

For citation: Lacroix M. THE INTEREST OF GEOGRAPHICAL INFORMATION, ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY FOR THE UNDERGROUND NETWORK REPRESENTATION. Proceedings of the International conference “InterCarto. InterGIS”. 2016;22(1):189-198. https://doi.org/10.24057/2414-9179-2016-1-22-5-7