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Experience acquisition simulator for operating microtuneling boring machines

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dc.affiliation.dptoUC3M. Departamento de Ingeniería de Sistemas y Automáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Robótica (Robotics Lab)es
dc.contributor.authorJardón Huete, Alberto
dc.contributor.authorGonzález Víctores, Juan Carlos
dc.contributor.authorMartínez de la Casa Díaz, Santiago
dc.contributor.authorBalaguer Bernaldo de Quirós, Carlos
dc.date.accessioned2014-05-27T08:10:16Z
dc.date.available2014-05-27T08:10:16Z
dc.date.issued2012-05
dc.description.abstractThis paper describes an innovative modeling, interfacing and training framework and application for microtunneling machines under heterogeneous gravel and sand soils, based on a machine simulator. It is initialized using a selective collection of skilled pilots' know-how during the performance of a pipe jacking microtunneling machine operation, generating a rule-based system based on grouped rules and states that replicate the machine's performance. The adjustment of these states and associated rules allows the creation, setup and analysis of a realistic functional model for tunneling machines. The developed system integrates a friendly Human-Machine Interface (HMI) that closely resembles real machines' pilot cabinets and allows natural interaction with the implemented inference engine through the simulated control panel. Additionally, the framework allows the training of tunneling machine operators by simulation and subsequent gathered data analysis, obviating or reducing mechanical movement times if desired. The virtual pilot's desk allows global training time and cost reductions, and increases safety for future operatorsand machinery. The HMI is divided into two screens, which replicate the data and the command panels of a real machine's control desk. The presented framework has allowed the first implementation of a jack piping microtunneling machine simulator by means of the developed pilots' steering know-how capture methodology.en
dc.description.sponsorshipThis work has been funded by the Spanish government under the framework of the Multidimensional City project PSE-380000-2008-5 http://www.laciudadmultidimensional.es, and has received funding from the RoboCity2030-II-CM project (S2009/DPI-1559), funded by Programas de Actividades I+D en la Comunidad de Madrid and cofunded by Structural Funds of the EU.es
dc.format.extent10 p.es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationAutomation in Construction (2012), vol. 23, 33-46.es
dc.identifier.doi10.1016/j.autcon.2011.12.002
dc.identifier.issn0926-5805
dc.identifier.publicationfirstpage33es
dc.identifier.publicationissue0es
dc.identifier.publicationlastpage46es
dc.identifier.publicationtitleAutomation in Construction
dc.identifier.publicationvolume23es
dc.identifier.urihttps://hdl.handle.net/10016/18913
dc.identifier.uxxiAR/0000009903
dc.language.isoenges
dc.publisherElsevieres
dc.relation.projectIDComunidad de Madrid. S2009/DPI-1559/ROBOCITY2030 IIes
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.autcon.2011.12.002es
dc.rights© 2011 Elsevier B.V.es
dc.rights.accessRightsopen accesses
dc.subject.ecienciaRobótica e Informática Industrialen
dc.subject.otherTunneling machineen
dc.subject.otherRobotic automationen
dc.subject.otherTunnel execution modelingen
dc.subject.otherSimulatoren
dc.subject.otherPipe jacking trainingen
dc.titleExperience acquisition simulator for operating microtuneling boring machinesen
dc.typeresearch article*
dc.type.hasVersionSMUR*
dspace.entity.typePublication
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