20181130 13592000 1.0 TRUE CreateFeatureclass I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde GPSPointsCur_Astus Point # No Yes "PROJCS['NAD_1983_MTM_8',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',304800.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-73.5],PARAMETER['Scale_Factor',0.9999],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-5317800 -10001100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # "Points GPS courants - Astus" AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus DATERECEPTION Date # # 8 DateReception NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus DIRECTION "Double (double precision)" # # 8 Direction NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus LATITUDE "Double (double precision)" # # 8 Latitude NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus LONGITUDE "Double (double precision)" # # 8 Longitude NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus VITESSE "Double (double precision)" # # 8 Vitesse NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus IDVEHICULE Text # # 255 idVehicule NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ACCESSOIRE1 Text # # 255 Accessoire1 NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ACCESSOIRE2 Text # # 255 Accessoire2 NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ACCESSOIRE3 Text # # 255 Accessoire3 NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ACCESSOIRE4 Text # # 255 Accessoire4 NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ACCESSOIRE5 Text # # 255 Accessoire5 NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ACCESSOIRE6 Text # # 255 Accessoire6 NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ACCESSOIRE7 Text # # 255 Accessoire7 NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ACCESSOIRE8 Text # # 255 Accessoire8 NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus SURVITESSE Text # # 255 Survitesse NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ETAT Text # # 255 Etat NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus RALENTI "Double (double precision)" # # 8 Ralenti NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus ODOMETRE "Double (double precision)" # # 8 Odometre NULLABLE NON_REQUIRED # AddField I:\DAO_Travail\Geom\Geotraitement\GeoEvent\Suivi_Deneigeuses\geopos.sde\GPSPointsCur_Astus MOTEUR "Double (double precision)" # # 8 Moteur NULLABLE NON_REQUIRED # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.2.0'><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e687565597a6e445041526d6371767947676131445142513d3d2a00;SERVER=geopos;INSTANCE=sde:oracle11g:geopos;DBCLIENT=oracle;DB_CONNECTION_PROPERTIES=geopos;PROJECT_INSTANCE=sde;USER=sde;VERSION=SDE.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>SDE.GPSPointsCur_Astus</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><AddField><field_name>VEHICULE</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_scale>0</field_scale><field_length>255</field_length><field_alias>Marque et modèle du véhicule</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>CATEGORIE</field_name><field_type>SHORT</field_type><field_precision>5</field_precision><field_scale>0</field_scale><field_alias>Catégorie de véhicule</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required><field_domain>dCategorie</field_domain></AddField></workflow><workflow><AddField><field_name>FLOTTE</field_name><field_type>SHORT</field_type><field_precision>5</field_precision><field_scale>0</field_scale><field_alias>Type de flotte</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required><field_domain>dTypeFlotte</field_domain></AddField></workflow></operationSequence>" UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.3.0'><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e68716c6a384c67756731696d706473737a417864466a673d3d2a00;SERVER=geopos;INSTANCE=sde:oracle11g:geopos;DBCLIENT=oracle;DB_CONNECTION_PROPERTIES=geopos;PROJECT_INSTANCE=sde;USER=sde;VERSION=SDE.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>SDE.GPSPointsCur_Astus</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>EMPLOYE</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_scale>0</field_scale><field_length>255</field_length><field_alias>Employé</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> Flotte GPS Véhicule Astus Flotte courante Dernières positions reçues des véhicules de la flotte GPS de la Ville de Longueuil. Flotte_Courante_Astus 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