High Quality Express Speed Asset Data Collection for Hungarian State Railways
High Quality Express Speed Asset Data Collection
for Hungarian State Railways (MÁV)
Barcza, Péter
BPMC Ltd. Managing Director
barcza.peter@bpmc.hu
© 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:
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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
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MÁV = Hungarian State Railways Co, the national railway infrastructure
operator
7800 km railway lines
400 000 widely dispersed assets
2
93 030 km surface of the country
Surroundings
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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
© 2011 Autodesk
220 different object types to be measured
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Objects for users in 6 + 1 groups
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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
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Limited budget
2011-01-02 deadline
Limited availability of updated maps
Some unsuccessful GIS initiatives
No surveying experts
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Analyzed data collection alternatives:
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Geodetic surveying
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Raster design based map processing
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MÁV had to develop his own GPS
based methodology to resolve data
collection issues
Precision and availability problem
Helicopter based data collection
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Cost and time problem
Cost and time problem
New GPS devices
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Partially working, no experience
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7
Country wide GNSS infrastructure
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Applied survey technology: RTK GNSS
 GNSSnet.hu – Hungarian reference station infrastructure operated by FÖMI,
the national surveying and mapping authority
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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
© 2011 Autodesk
GNSS service quality control – on site
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Minimum help desk support due to
GNSSnet.hu Monitor – quality control on mobile phone
 GNSSnet.hu fleet management system
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MÁV internal first level help desk
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T-Mobile – Countrywide GPRS coverage 2008-07-30
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GPRS communication needed
for high precision location
correction
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Countrywide coverage of GPRS
services in Hungary
Areas of reception color codes
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Black – with 2 w internal antenna
 Gray – with 2 W external antenna
 White – no reception
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Source – www.t-mobile.hu
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Design of Data Collection Quality
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Design Quality
Analysis
Maps
Objects
Attributes
Quantities
Interdependencies
Design
System
Maps & layers
Objects
Attributes
Workflow
Reports
Data collection
Measurement
Data upload
Quality control
Quantity control
Test
Integrated System
& Data collection
test
Quality
Quantity
Control systems
Training
Measurement leaders
Measurement supports
Approval staff
Attributes upload staff
Data entry help desk
System 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
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Measurement area categories
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Between stations
1 track – 2 tracks
 Electrified – non electrified
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Stations
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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 plan
Task analysis
Cathegory definition
Decentralized operative
plan
Weekly update
„Rainy” day handling
Task allocation
Generate task
Allocate resources
Holiday planning
Preparation
Map analysis
Support info
Device update
Measurement
Team approach
On site activities
Use of advance info
Help desk support
Remote control
Local control
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Decentralized operative planning
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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
© 2011 Autodesk
Team approach
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7 different departments
220 different objects
Some hardly visible (on the earth objects)
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Limit the need of resources
Preparation of lists for measurements
Basic skills always available + colleagues with special skills if needed
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Most expensive error –> repeated measurement needed
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Normal data collection
Error correction extreme
Average site access
time
2 hours
2 hours
Average measurement
time
6 hours
0,5 hours
Efficiency ratio
75 %
20 %
© 2011 Autodesk
Location based remote control
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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
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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
Upload
Download from
device
Upload to
system
Adjust
Automatic
Manual
Control
Local expert types
Integration control
Documented
feedback
Controlled time
Feedback control
Live data
Data publication
Data maintenance
© 2011 Autodesk
AutoDesk TopoBase and MapGuide based Upload
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Expectations for the upload process
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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
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GPS output – limitations of GIS device in data processing
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contains all necessary data for processing but not in final – GIS ready - form
AutoDesk TopoBase 2008 based Upload
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All postprocesses automatically performed for data adjustments
 Only unexpected corrections have to be performed manually
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AutoDesk MapGuide based Job Management
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Integrated job management with TopoBase 2008 jobs
 Deadline control and Reporting for job status
© 2011 Autodesk
Documented feedback and controlled time
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First level control in 6 territories
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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
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Discussing unified approach
 Controlling unified approach
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Processing time control – 8 days for reviews
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Usage issues
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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
© 2011 Autodesk
Infrastructure management value generation cycle
with GIS
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At the moment working at MÁV
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Asset Management
 Reporting
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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
© 2011 Autodesk
Outstanding Results
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1 350 000 graphical objects measured
in 14 month
16 times cost saving for data
capturing and upload
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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.
© 2011 Autodesk