FME World Tour 2015: (NL) IMKL writer voor FMEGIM_nv
Ontdek hoe de GIM IMKL writer de volledige IMKL/INSPIRE complexiteit afhandelt en eenvoudig te integreren is in de bestaande infrastructuur.
Contact:
bart.reynaert@pidpa.be
rob.vangeneugden@gim.be
Ken Bragg: introduction and getting started with FME 2017GIM_nv
This document provides an overview of new features in FME 2017 including more connectors to additional data formats, powerful new transformers for data transformation, improvements to the data inspector for exploring data, enhanced automation capabilities through FME Server, and the new FME Cloud platform for running workflows in the cloud. The presentation aims to demonstrate how FME 2017 can help users more easily connect systems, transform data, automate workflows, and inspect data.
This document discusses four potions or methods for batch data processing large datasets: 1) Wildcards, 2) Batch Deploy, 3) Parent/Child Workspaces, and 4) Parent/Child Server Workspaces. Wildcards provide simple setup but have limitations. Batch Deploy scripts are also simple but have log and error handling issues. Parent/Child Workspaces separate transformations from workflows but can be slow. Parent/Child Server Workspaces leverage parallelism for speed but require data accessibility to server engines. In summary, each potion has tradeoffs; FME Server is recommended for robust automation.
Proximus managing its location master database with FMEGIM_nv
Proximus is managing its Location Master Database (LoM) with FME software to support the rollout of its fiber network in Belgium. FME is used to transform location data from the Belmap model containing over 150 tables to the Proximus model containing over 200 tables. It is also used for daily delta loads and to generate input maps for the high level network design tool FiberPlanIT. FME includes 109 workspaces to perform the data transformations between the two database models.
FME World Tour 2015: (NL) IMKL writer voor FMEGIM_nv
Ontdek hoe de GIM IMKL writer de volledige IMKL/INSPIRE complexiteit afhandelt en eenvoudig te integreren is in de bestaande infrastructuur.
Contact:
bart.reynaert@pidpa.be
rob.vangeneugden@gim.be
Ken Bragg: introduction and getting started with FME 2017GIM_nv
This document provides an overview of new features in FME 2017 including more connectors to additional data formats, powerful new transformers for data transformation, improvements to the data inspector for exploring data, enhanced automation capabilities through FME Server, and the new FME Cloud platform for running workflows in the cloud. The presentation aims to demonstrate how FME 2017 can help users more easily connect systems, transform data, automate workflows, and inspect data.
This document discusses four potions or methods for batch data processing large datasets: 1) Wildcards, 2) Batch Deploy, 3) Parent/Child Workspaces, and 4) Parent/Child Server Workspaces. Wildcards provide simple setup but have limitations. Batch Deploy scripts are also simple but have log and error handling issues. Parent/Child Workspaces separate transformations from workflows but can be slow. Parent/Child Server Workspaces leverage parallelism for speed but require data accessibility to server engines. In summary, each potion has tradeoffs; FME Server is recommended for robust automation.
Proximus managing its location master database with FMEGIM_nv
Proximus is managing its Location Master Database (LoM) with FME software to support the rollout of its fiber network in Belgium. FME is used to transform location data from the Belmap model containing over 150 tables to the Proximus model containing over 200 tables. It is also used for daily delta loads and to generate input maps for the high level network design tool FiberPlanIT. FME includes 109 workspaces to perform the data transformations between the two database models.
FME World Tour: The difficulties of a simple trail networkGIM_nv
This document discusses the challenges of aggregating recreational trail data from five provincial sources in Flanders into a single network. Each province had its own data model, IDs, and inconsistencies, making manual merging error-prone. VisitFlanders implemented an automated solution using FME Server to normalize, match IDs, validate topology, and generate delta files hourly from the source data. This improved data quality and ensured an up-to-date trail network for the whole region.
Toveren met FME bij het Departement Leefmilieu, Natuur en Energie van de Vlaa...GIM_nv
The document discusses several challenges faced by the Flemish Environment, Nature and Energy Department regarding Seveso establishments in the Port of Antwerp, developing wind turbines, and analyzing risks of transporting dangerous substances by motorways, railways, waterways and pipelines. It promotes the use of FME software to help solve complex spatial data challenges and automatically process and combine data using various transformers.
FME World Tour 2016: INSPIRE data harmonisation with FME (GIM)GIM_nv
This document discusses the INSPIRE Directive, which aims to create a European Union spatial data infrastructure. It seeks to harmonize geographic data across borders by establishing common data specifications. The summary discusses how FME software can help organizations collect, harmonize, and share geospatial data to comply with INSPIRE standards by automating workflows for data transformation, quality checks, and publishing services. FME offers a no-code solution to help manage complex INSPIRE data mapping and prepare data to be discoverable and usable across Europe.
FME World Tour 2016: Your Data in Motion (Safe Software)GIM_nv
This document provides an agenda and overview of new features for FME 2016. Some key points:
- FME 2016 adds support for new data formats including SAP HANA, Denodo, Adobe PRC, IndoorGML, and Cesium point clouds.
- New transformers in FME 2016 include AttributeManager, CenterPointExtractor, DuplicateFilter, Kinesis connectors, and HTML generators.
- Attribute Magic demos will showcase powerful data transformations.
- The upgraded FME Workbench provides a more streamlined interface for workflow creation.
- FeatureReader and FeatureWriter transformers allow reading and writing data within a workspace for more flexible workflows.
FME World Tour 2015: (FR) Validation 2D et 3DGIM_nv
Le Centre d’Informatique pour la Région Bruxelloise a attribué un marché pluriannuel (2014-2016) au consortium Aerodata-Avineon pour la correction et la mise à jour de la couche des bâtiments 2D et 3D. Des contrôles ont été développés par GIM avec l’aide de FME pour vérifier le niveau de qualité des données fourni.
Contact:
Defrance Sébastien – sdefrance@cirb.brussels
Centre d’Informatique pour la Région Bruxelloise
Implementing a Simple Web Application with FME ServerSafe Software
The document describes how the City of Austin used FME Server to automate their zoning verification process. Previously, zoning verifications took staff 1-2 hours each to complete manually. With FME Server, they built workspaces to lookup zoning data, generate PDF reports, and create a web application. This reduced processing time to around 15 minutes while improving accuracy and allowing customers to request verifications online. Future improvements could include public access and integrating with other city applications.
FME World Tour 2015: (EN) Prendre le bon chemin …GIM_nv
This document discusses the creation of a road referential for Brussels using FME and linear referencing. The project involves integrating data from multiple sources to create attributes along geometries. FME is proposed as the solution due to its ability to handle linear referencing, manage updates automatically, and store the data spatially in PostGIS. The technical solution in FME includes multiple workbenches, generic attribute names, reusing workbenches with parameters, and organized log files. Inspire compliance is also achieved by exporting data using FME and following the transport network specification through schema mapping.
FME World Tour 2015: (EN) FME 2015 in actionGIM_nv
This document summarizes FME 2015 updates including:
1. Database updates like named connections and writer harmonization for SQL Server and FileGDB. A new JDBC format was added.
2. Reporting tools in FME like the AttributePivoter, TableAdder and MapnikRasterizer for Excel, PDF and other formats.
3. Performance tuning using profiling to identify slow parts of workspaces.
4. New 3D capabilities including SharedItem transformers for geometry definitions and instances, and support for formats like three.js, Minecraft and PDF 3D. BIM support includes IFC to CityGML conversion.
FME World Tour 2015: (NL) Integratie van FME in de GIS-werking van Stad GentGIM_nv
Ontdek hoe de GIS-afdeling van Stad Gent sinds 2014 FME introduceert in haar dagelijkse activiteiten.
Contact:
Jonas Verstraete
Data & Informatie, Stad Gent
Jonas.Verstraete@Gent.Be
Stad Lier: Transforming raw data into business infoGIM_nv
This document discusses how raw data can be transformed into business information. It describes the process of collecting, processing, and analyzing data from various sources to create structured information that can be reported and distributed. Various techniques and products are used, including BPMN for process modeling, FME for extract-transform-load tasks, PostgreSQL with PostGIS for the data warehouse, and QlikView for analytics and reporting. FME is highlighted as a powerful tool that can integrate different data types and sources, perform quality checks and enhancements, and distribute data to the appropriate systems and formats.
FME World Tour: The difficulties of a simple trail networkGIM_nv
This document discusses the challenges of aggregating recreational trail data from five provincial sources in Flanders into a single network. Each province had its own data model, IDs, and inconsistencies, making manual merging error-prone. VisitFlanders implemented an automated solution using FME Server to normalize, match IDs, validate topology, and generate delta files hourly from the source data. This improved data quality and ensured an up-to-date trail network for the whole region.
Toveren met FME bij het Departement Leefmilieu, Natuur en Energie van de Vlaa...GIM_nv
The document discusses several challenges faced by the Flemish Environment, Nature and Energy Department regarding Seveso establishments in the Port of Antwerp, developing wind turbines, and analyzing risks of transporting dangerous substances by motorways, railways, waterways and pipelines. It promotes the use of FME software to help solve complex spatial data challenges and automatically process and combine data using various transformers.
FME World Tour 2016: INSPIRE data harmonisation with FME (GIM)GIM_nv
This document discusses the INSPIRE Directive, which aims to create a European Union spatial data infrastructure. It seeks to harmonize geographic data across borders by establishing common data specifications. The summary discusses how FME software can help organizations collect, harmonize, and share geospatial data to comply with INSPIRE standards by automating workflows for data transformation, quality checks, and publishing services. FME offers a no-code solution to help manage complex INSPIRE data mapping and prepare data to be discoverable and usable across Europe.
FME World Tour 2016: Your Data in Motion (Safe Software)GIM_nv
This document provides an agenda and overview of new features for FME 2016. Some key points:
- FME 2016 adds support for new data formats including SAP HANA, Denodo, Adobe PRC, IndoorGML, and Cesium point clouds.
- New transformers in FME 2016 include AttributeManager, CenterPointExtractor, DuplicateFilter, Kinesis connectors, and HTML generators.
- Attribute Magic demos will showcase powerful data transformations.
- The upgraded FME Workbench provides a more streamlined interface for workflow creation.
- FeatureReader and FeatureWriter transformers allow reading and writing data within a workspace for more flexible workflows.
FME World Tour 2015: (FR) Validation 2D et 3DGIM_nv
Le Centre d’Informatique pour la Région Bruxelloise a attribué un marché pluriannuel (2014-2016) au consortium Aerodata-Avineon pour la correction et la mise à jour de la couche des bâtiments 2D et 3D. Des contrôles ont été développés par GIM avec l’aide de FME pour vérifier le niveau de qualité des données fourni.
Contact:
Defrance Sébastien – sdefrance@cirb.brussels
Centre d’Informatique pour la Région Bruxelloise
Implementing a Simple Web Application with FME ServerSafe Software
The document describes how the City of Austin used FME Server to automate their zoning verification process. Previously, zoning verifications took staff 1-2 hours each to complete manually. With FME Server, they built workspaces to lookup zoning data, generate PDF reports, and create a web application. This reduced processing time to around 15 minutes while improving accuracy and allowing customers to request verifications online. Future improvements could include public access and integrating with other city applications.
FME World Tour 2015: (EN) Prendre le bon chemin …GIM_nv
This document discusses the creation of a road referential for Brussels using FME and linear referencing. The project involves integrating data from multiple sources to create attributes along geometries. FME is proposed as the solution due to its ability to handle linear referencing, manage updates automatically, and store the data spatially in PostGIS. The technical solution in FME includes multiple workbenches, generic attribute names, reusing workbenches with parameters, and organized log files. Inspire compliance is also achieved by exporting data using FME and following the transport network specification through schema mapping.
FME World Tour 2015: (EN) FME 2015 in actionGIM_nv
This document summarizes FME 2015 updates including:
1. Database updates like named connections and writer harmonization for SQL Server and FileGDB. A new JDBC format was added.
2. Reporting tools in FME like the AttributePivoter, TableAdder and MapnikRasterizer for Excel, PDF and other formats.
3. Performance tuning using profiling to identify slow parts of workspaces.
4. New 3D capabilities including SharedItem transformers for geometry definitions and instances, and support for formats like three.js, Minecraft and PDF 3D. BIM support includes IFC to CityGML conversion.
FME World Tour 2015: (NL) Integratie van FME in de GIS-werking van Stad GentGIM_nv
Ontdek hoe de GIS-afdeling van Stad Gent sinds 2014 FME introduceert in haar dagelijkse activiteiten.
Contact:
Jonas Verstraete
Data & Informatie, Stad Gent
Jonas.Verstraete@Gent.Be
Stad Lier: Transforming raw data into business infoGIM_nv
This document discusses how raw data can be transformed into business information. It describes the process of collecting, processing, and analyzing data from various sources to create structured information that can be reported and distributed. Various techniques and products are used, including BPMN for process modeling, FME for extract-transform-load tasks, PostgreSQL with PostGIS for the data warehouse, and QlikView for analytics and reporting. FME is highlighted as a powerful tool that can integrate different data types and sources, perform quality checks and enhancements, and distribute data to the appropriate systems and formats.
Inspecteren van de openbare ruimte vanuit fotomateriaal: Eric Mooijman (Cyclo...CROW
Het inspecteren van de openbare ruimte is intensief mensenwerk. Nu de openbare ruimte in Nederland jaarlijks op 360 graden panoramafoto’s wordt vastgelegd, ontstaan er nieuwe mogelijkheden om mutaties in de buitenruimte geautomatiseerd te registreren. Objecten zoals bebording of wegmarkering kunnen hierdoor tegen lage kosten worden geïnventariseerd en vervolgens optisch worden geïnspecteerd. Dit biedt de mogelijkheid om de resultaten te gebruiken om areaalwijzigingen bij te houden en onderhoudsplanningen uit te werken.
DSD-NL 2022 D-GEO Gebruikersdag - van der MeijDeltares
Presentatie door Raymond van der Meij (Deltares), op de D-GEO Gebruikersdag, tijdens de Deltares Software Dagen - Editie 2022. Woensdag, 29 juni 2022, Delft.
DSD-NL 2023 Hydraulisch Modelinstrumentarium Aa en Maas - de KeijzerDeltares
Presentatie door Steffie van Beek-de Keijzer (Waterschap Aa en Maas), op de D-HYDRO Gebruikersdag, tijdens de Deltares Software Dagen - Editie 2023. Woensdag, 7 juni 2023, Delft.
DSD-NL 2022 D-HYDRO Suite 1D2D, stand van zaken en vooruitblik - Verhoeven - ...Deltares
Presentatie door Edward Melger (Deltares), op de D-HYDRO Gebruikersdag, tijdens de Deltares Software Dagen - Editie 2022. Woensdag, 22 juni 2022, Delft.
Slides of my Techdays 2015 presentation on Mapping and Locations in Windows 10. Accompanying code can be found at https://onedrive.live.com/redir?resid=2406ABD89008AC37!658391&authkey=!ACMYvXyTtSevqic&ithint=file%2czip
DSD-NL 2022 D-HYDRO modelgeneratie in Limburg - de Graaff2Deltares
Presentatie door Bertus de Graaff (HKV Lijn in Water), op de D-HYDRO Gebruikersdag, tijdens de Deltares Software Dagen - Editie 2022. Woensdag, 22 juni 2022, Delft.
Resa is a Belgian gas and electricity distribution system operator that serves over 665,000 consumers across 73 municipalities. It was looking for a solution to help manage its asset data and perform spatial analysis to support network planning and operations. It implemented an FME-based system to import, export, manage, analyze and validate its asset data. The solution allows Resa to perform geometry and topological validation of network data and generate reports on any issues found to improve data quality.
Real-time location tracking with FME Server AutomationsGIM_nv
FME Server can be used to automate data integration workflows by processing continuous data streams and triggering actions in response to events. A demo showed capturing real-time location data from mobile devices using MQTT, map matching the data to calculate bike-to-work incentives, and sending push notifications. FME Server Automations allow defining triggers that start workspaces when new data arrives through protocols like JMS or S3, and actions like running other workspaces. This enables event-driven processing of thousands of messages per second.
Validation and visualization of Revit BIM Models with FMEGIM_nv
This document discusses using FME to convert Revit and CityGML models to Cesium 3D tile formats for visualization. It begins with an overview of Revit and Cesium 3D tiles. It then describes a case study where a Revit model of a nursing home is converted to Cesium and overlaid on top of a CityGML model of Namur, Belgium converted to Cesium tiles. The document outlines the FME workflow used to convert the models and validate the results. Screenshots show the final visualization of the combined models in Cesium.
This document outlines 5 challenges that can be addressed using new features in FME Server 2019. It summarizes each challenge and demonstrates how automations and system events in FME Server can be used to automatically run workspaces when data arrives, run nightly updates on a schedule, orchestrate complex workflows, and notify administrators via email when new users are created. It concludes by listing some of the new features in FME Server 2019 such as FME Server apps, automations, system events, job log filtering, and improved password security rules and user preferences.
This document discusses automating the process of collecting data on planned industrial areas in Flanders using FME. Previously, collecting this data was time-consuming and prone to errors due to manual processes. The new automated process uses FME to scrape data from various government websites and publications using transformers. This allows for daily updates of nearly complete data with no errors or need for interpretation, providing major improvements over the previous manual method.
The document discusses using FME 2019 to help the FME Lizard find a new office location based on specific criteria. It then summarizes the key highlights of FME 2019 Desktop including improved performance, a dark mode, new transformers, readers/writers for additional formats, and the ability to more quickly obtain fixes and new features through FME packages. The document concludes by noting upcoming FME connectors and mobile app capabilities in FME 2019.
BIM-naar-GIS dataverwerking: linken en visualiseren GIM_nv
De juiste informatie uit BIM-modellen kan een grote toegevoegde waarde hebben in het beheer van infrastructuur. Helaas gaat veel informatie verloren gedurende de levenscyclus van een infrastructuurobject. In deze presentatie bekijken we hoe we deze informatie-eilanden kunnen overbruggen door BIM data te linken en te visualiseren. Concreet gaan we in op technieken voor het verwerken van BIM data voor indoor mapping, facility management, issue management, Web visualisatie, en augmented reality apps.
This document discusses automating spatial data sharing between data producers and end users in Wallonia, Belgium. It describes using FME to create an integrated workflow that simplifies data sharing. The workflow validates and transforms data from multiple producers into various formats, then distributes updated data on demand to end users based on their specifications. This automated process saves time by eliminating repetitive manual data distribution tasks.
This document discusses bridging the gap between geographic information systems (GIS) and building information modeling (BIM) to build a sustainable railway network using consistent digital information. It proposes collecting data once at the source and sharing it throughout the asset lifecycle. Current GIS and BIM standards like InfraGML, IFC, and LandXML are examined for integrating railway design data with 3D reality models from lidar scans. The document demonstrates a proof of concept for extracting rail information from point clouds, reading 3D LandXML designs, and comparing plans to reality. It concludes that BIM-GIS integration is relevant for infrastructure and that software like FME can help fill interoperability gaps.
9. E T L
GIS (vector)
▶ ESRI shape
▶ Mapinfo MIF/MID
▶ Mapinfo TAB
▶ Adobe Geospatial PDF
▶ GML, XML, KML
▶ …
CAD
▶ AutoCAD DWG/DXF
▶ AutoCAD Civil 3D (Read)
▶ Bentley Microstation
Desgin DGN
▶ …
10. E T L
Raster
▶ ESRI grid
▶ GeoTIFF
▶ IMG
▶ MrSID (read only)
▶ JPG, JPEG 2000
▶ …
Point Cloud
▶ LIDAR LAS
▶ Pointcloud XYZ
▶ …
11. E T L
3D / BIM
(Building Information Modeling)
▶ AutoCad DWG/DXF
▶ CityGML
▶ GoogleSketchup
▶ Shapefile/Feature Class
▶ Adobe 3D PDF (write only)
▶ AutoCAD civil 3D (read only)
▶ …
12. E T L
Databanken
▶ ESRI Geodatabases: File,
personal, arcSDE
▶ Oracle
▶ Smallworld
▶ Informix
▶ Geomedia Warehouse
▶ PostGIS
Niet ruimtelijke formaten
▶ csv, txt
▶ Excel
▶ Access
▶ Directories (Copy/paste)
▶ Web Services
40. Doelstelling:
▶ Combinatie van 2 data bronnen tot 1 netwerk
▶ GRB
▶ Geometrie: Primaire wegen (auto)
▶ Attributen: straatcode, verharding, morfologische wegklasse
▶ ITGI
▶ Geometrie: Primaire en secundaire wegen (fiets- en wandelwegen)
▶ Attributen: Breedte, aantal rijstroken, wegtype
41.
42.
43.
44.
45.
46.
47. Geautomatiseerde oplossingen, aangepast aan uw noden:
▶ Grip op GRB – openbaar domein: op maat afstemming op het GRB
van uw geografische gegevens op het openbaar domein
▶ Grip op GRB – perceelsgebonden: GIM zet uw perceelsgebonden
gegevens om naar het GRB
▶ Grip op GRB – FME-pakket: ga zelf aan de slag met FME en het
standaard model van GIM
48. Methodiek ‘openbaar domein’
▶ Analyse ‘op maat’
▶ Verplaatsing tussen objecten van
bron X (originele ondergrond) en
overeenstemmende GRB-objecten
▶ Alle datalagen gebaseerd op bron
X hiermee te migreren
54. Categorie Geometrische overeenkomst met percelen CAPAKEY overeenkomst met percelen Geometrie aanpassen
A1 Uitstekend volledige match ja
A2 Uitstekend gedeeltelijke match ja
A3 Uitstekend geen match ja
B1 Zeer goed volledige match ja
B2 Zeer goed gedeeltelijke match ja
B3 Zeer goed geen match ja
C1 Goed volledige match ja
C2 Goed gedeeltelijke match ja
C3 Goed geen match ja
D1 Ma7g volledige match ja
D2 Ma7g gedeeltelijke match ja
D3 Ma7g geen match ja
E1 Beperkt volledige match ja
E3 Beperkt geen match nee
F1 Slecht volledige match ja
F3 Slecht geen match nee
55. FME
▶ Transformers / Callers
combineren
▶ Visuele controle & Log
▶ Modellen tonen
gebruikte methode
Traditionele GIS
▶ Werken met
beschikbare functies
▶ Amper feedback van
software
▶ Methode nakijken niet
mogelijk
70. ▶ Oplossing:
▶ Geautomatiseerde verbeteringen op de data
▶ Snapping
▶ Samenvoegen van korte lijnen (geen kruisingen)
▶ Opsporen van oneindige lussen
74. ▶ Conclusies:
▶ Werkende onderdelen uit de bestaande oplossing werden
behouden
▶ Tijdswinst
▶ Eenvoudig extra regels toe te voegen
75. Samenvatting
▶ Het verwerken van data wordt kinderspel
▶ Automatiseer processen
▶ Intuïtieve interface voor niet-programmeurs
▶ Combineer meerdere bronnen tot nieuwe informatie
▶ Naar een performante en elegante datastroom
▶ Laat de computer het repetitieve werk doen.