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© 2011 Autodesk
High Quality Express Speed Asset Data Collection for Hungarian State Railways (MÁV)Barcza, PéterBPMC Ltd. Managing Director
High Quality Express Speed Asset Data Collection for Hungarian State Railways
© 2011 Autodesk
Class Summary
This class gives an insight on how MÁV, the Hungarian State Railways has collected 1 350 000 objects with high precision (5 cm ~ 2 inch) with limited budget in 14 month. Data collection is key success factor of GIS projects. From 50 - 90% of resources are often used for data collection. The railway is a multi-utility environment including civil & electrical engineering. 220 object types were measured in one measurement process.
© 2011 Autodesk
Learning Objectives
At the end of this class, you will be able to:
Obtain high precision complex data with limited budget Build GIS + GPS based data collection process Assure „first catch data quality” and multiple layers of control Plan first major achievements within 12 month Communicate clearly current and future GIS project scope
© 2011 Autodesk
The Framework
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MÁV – The Hungarian State Railways
MÁV = Hungarian State Railways Co, the national railway infrastructure operator
7800 km railway lines 400 000 widely dispersed assets 93 030 km2 surface of the country Surroundings
60% Flat land covered with fields or forest 40% Hills covered with forests or trees
Measuring environment 5200 km non electrified line 2600 km electrified line 860 railway stations
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220 different object types to be measured
Objects for users in 6 + 1 groups Track Bridges Signaling Systems Energy supply and Overhead Line Telecommunications Real Estate and Facility Management Other non MÁV objects
Parallel measurement of 7 different „utilities”
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Challenges in May 2009
Limited budget 2011-01-02 deadline Limited availability of updated maps Some unsuccessful GIS initiatives No surveying experts
MÁV had to develop his own GPS based methodology to resolve data collection issues
Analyzed data collection alternatives:
Geodetic surveying Cost and time problem
Raster design based map processing Precision and availability problem
Helicopter based data collection Cost and time problem
New GPS devices Partially working, no experience
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Country wide GNSS infrastructure
Applied survey technology: RTK GNSS GNSSnet.hu – Hungarian reference station infrastructure operated by FÖMI, the
national surveying and mapping authority Accuracy: ≤2 cm (1σ) horizontal, ≤3 cm (1σ) vertical over the whole country 54 reference stations High-end geodetic equipment Nationwide GPS+GLONASS
coverage EUPOS services High availability (>99.5%) Monitored service quality Support hotline
07:30 – 19:00 every day Source – www.fomi.hu
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GNSS service quality control – on site
Minimum help desk support due to GNSSnet.hu Monitor – quality control on mobile phone GNSSnet.hu fleet management system
MÁV internal first level help desk
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T-Mobile – Countrywide GPRS coverage 2008-07-30
GPRS communication needed for high precision location correction
Countrywide coverage of GPRS services in Hungary
Areas of reception color codes Black – with 2 w internal antenna Gray – with 2 W external antenna White – no reception
Source – www.t-mobile.hu
© 2011 Autodesk
Design of Data Collection Quality
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Design Quality
AnalysisMaps
ObjectsAttributesQuantities
Interdependencies
DesignSystem
Maps & layersObjectsAttributesWorkflowReportsData collectionMeasurementData uploadQuality controlQuantity control
TestIntegrated System & Data collection testQualityQuantityControl systems
TrainingMeasurement leadersMeasurement supportsApproval staffAttributes upload staffData entry help deskSystem help desk
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Interdependencies
Map Level – 7 departments with independent graphical interpretation of maps Object hierarchy level – some assets are components of individual object Object level - some objects used by all departments Attribute level – Different attributes needed for specific objects – General
attributes are needed for all objects
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Central high level planning
Measurement area categories Between stations
1 track – 2 tracks Electrified – non electrified
Stations Small – Large – Extra
Old technology – new technology ratio Testing Category based measurement expectations
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Measurement Quality – GPS technology based
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Measurement Quality
Daily planTask analysisCathegory definitionDecentralized operative planWeekly update„Rainy” day handling
Task allocationGenerate taskAllocate resourcesHoliday planning
PreparationMap analysisSupport infoDevice update
MeasurementTeam approachOn site activitiesUse of advance infoHelp desk supportRemote controlLocal control
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Decentralized operative planning
Quick access to measurement area and knowledge of the territory assured by local people
Team of local people needed Local arrangements are needed for access of high risk – railway traffic areas MÁV has 6 territories for operation management The operative planning is performed in the 6 territories Central control is assured by reporting
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Team approach
7 different departments 220 different objects Some hardly visible (on the earth objects)
Limit the need of resources Preparation of lists for measurements Basic skills always available + colleagues with special skills if needed
Most expensive error –> repeated measurement needed
Average site access time
Average measurement time
Efficiency ratio
Normal data collection 2 hours 6 hours 75 %Error correction extreme 2 hours 0,5 hours 20 %
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Location based remote control GPS technology based data collection and control 16 groups work remotely over the whole country Measurement output is strongly related to measurement time Location of the measurement is important to follow the development of measurement FÖMI reporting assures strong control of both measurement time and measured territories
User name Device active time [UTC] Coordinates
mavmt201 2010-08-03 05:56:49 - 2010-08-03 14:48:37 46.72348, 16.95176
mavmt201 2010-08-04 05:57:48 - 2010-08-04 15:05:27 46.69108, 16.82461
mavmt201 2010-08-05 04:30:49 - 2010-08-05 12:21:15 47.195, 18.14913
mavmt201 2010-08-05 12:44:02 - 2010-08-05 14:41:32 47.19678, 18.15287
mavmt201 2010-08-06 03:28:41 - 2010-08-06 05:11:33 47.11792, 17.91125
© 2011 Autodesk
Upload Quality–AutoDesk TopoBase & MapGuide
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Upload Challenges
Upload time is equal to measurement time in normal procedures Automating upload is a performance and quality issue The measurement and upload is broken down to small cycles – jobs, colleagues
processed 1700 jobs alltogether 150 – 200 jobs were in progress x 7 divisions included in each approval
process, one process is built from 7 steps Audibility of any processes steps are
needed any time Task management „umbrella”
supports parallel processing and control
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Upload Quality
UploadDownload from deviceUpload to system
AdjustAutomaticManual
ControlLocal expert typesIntegration controlDocumentedfeedbackControlled timeFeedback control
Live dataData publicationData maintenance
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AutoDesk TopoBase and MapGuide based Upload
Expectations for the upload process Job based Automated Minimum manual only for corrections of measurements Parallel controll of 7 departments
Upload – entirely AutoDesk SW based with AU partner add on GPS output – limitations of GIS device in data processing
contains all necessary data for processing but not in final – GIS ready - form AutoDesk TopoBase 2008 based Upload
All postprocesses automatically performed for data adjustments Only unexpected corrections have to be performed manually
AutoDesk MapGuide based Job Management Integrated job management with TopoBase 2008 jobs Deadline control and Reporting for job status
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Documented feedback and controlled time
First level control in 6 territories 7 departments reviewing independently The uploader is not available at the review The control of correction has to be simple The uploader has to wait till all reviews are performed Task management functionality was introduced with parallel processing capabilities
Central second level support and control Discussing unified approach Controlling unified approach
Processing time control – 8 days for reviews
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Usage issues
Organize access to the data Organize feedback of data quality Plan for systematic quality improvement
and individual issue handling
Expect unplanned users to come with unplanned questions
Expect new report and interface requests
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Infrastructure management value generation cycle with GIS
At the moment working at MÁV Asset Management Reporting
All steps can be improved with location based info - GIS Stage by stage approcach needed to reach full inpact Boundaries of each stage have to be clearly communicated in basic dimensions:
Business benefits, Data, Functions, Number of Users, Interfaces
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Outstanding Results
1 350 000 graphical objects measured in 14 month
16 times cost saving for data capturing and upload Individual employee cost versus
external resource cost – 4 times savings
Traditional geo-referencing versus professional GPS – 4 times savings
Quality data – based on MÁV employees knowledge
„Our data = our system” effect
© 2011 Autodesk
Acknowledgements
The railway aspects of MÁV GIS project was governed by
Mr. Dr. László Mosóczi, Vice President of the Hungarian State Railways (MÁV)
© 2011 Autodesk
Autodesk, AutoCAD* [*if/when mentioned in the pertinent material, followed by an alphabetical list of all other trademarks mentioned in the material] are registered trademarks or trademarks of Autodesk, Inc., and/or its subsidiaries and/or affiliates in the USA and/or other countries. All other brand names, product names, or trademarks belong to their respective holders. Autodesk reserves the right to alter product and services offerings, and specifications and pricing at any time without notice, and is not responsible for typographical or graphical errors that may appear in this document. © 2011 Autodesk, Inc. All rights reserved.