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Verification of Railway Interlocking Tables using Coloured Petri Nets

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A section or route comprises wayside equipment ... Provides geographic information how each wayside equipment connect to each other ... – PowerPoint PPT presentation

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Title: Verification of Railway Interlocking Tables using Coloured Petri Nets


1
Verification of Railway Interlocking Tables
using Coloured Petri Nets
  • Somsak Vanit-Anunchai
  • somsav_at_sut.ac.th
  • School of Telecommunication Engineering
  • Suranaree University of Technology
  • Nakhon Ratchasima 30000 Thailand
  • Supported by National Research Council of
    Thailand

2
Introduction to railway signalling
24
41T
24T
23
103T
16
9T
3T
1T
16T
103
42T
15
1
3
Railway Signalling System divides rail track
into sections. Only one train is allowed in one
section at atime. A section or route comprises
wayside equipment 1) Track Circuits used to
indicate the presence of trains 2) Signals to
allow the train enter into the route. 3) points
(switches ) to diverge the train to another
track. Each wayside equipment has an
Identification number.
3
A typical (small) station
24
41T
24T
23
103T
16
9T
3T
1T
16T
103
42T
1
15
3
Route Released ? Normal
Route 3(2) locked
Require TC
Interlocking Tables or Control Tables are the
tabular representation specifying how the train
move together with the states and actions of
related equipment.
4
Approach Lock Cannot cancel
Signalman can cancel
24
41T
24T
23
103T
16
9T
3T
1T
16T
103
42T
15
3
1
5
Motivation (Problems)
  • Problems with manual inspection of railway
    Interlocking table ? labour intensive, erorr
    prone
  • State Railway of Thailands projects involves
    300-350 stations
  • Existing track layout changed (added)
  • ? existing signalling changed.
  • Other software tools usually are designed for a
    specific railway company but SRTs Operating rule
    is unique and sometimes changed.
  • Need simple formal methods for signal engineers

6
Selected related work (quick look)
Logistic
7
Selected related work
8
Selected related work
9
Our CPN model of the Control Table of the small
station comprises two parts
  • Signalling Layout
  • Interlocking
  • The CPN model comprises
  • 72 Places ,
  • 12 Fusion places ,
  • 21 Substitution Transitions,
  • 33 Transitions and 12 ML functions.

10
CPN model of the Control Table
  • Signalling Layout
  • - The CPN model mimics the signalling plan
  • - Provides geographic information how each
    wayside equipment connect to each other
  • - Provides ability to simulate the trains
    moving
  • - Comprises lower CPN subpages which represent
    the trains movement when passing signals,
    passing point and moving between 2 consecutive
    track circuits
  • ? modelling wayside equipments

11


CPN model The southern part of the station
12
Modelling Approach
  • The CPN model in the signalling layout part
    depends on the track layout.
  • ? It is inevitable.
  • But the CPN diagram can be quickly, manually
    built when we have CPN patterns (library).
  • The work on CPN patterns for this project is in
    progress .

13
CPN model of the Control Table
  • 2. Interlocking part comprises 3 CPN subpages
  • 2.1 UserCommand
  • ? sets and locks the points along the route
  • 2.2 Routesetting
  • ? sets the required route
  • 2.3 RouteReleased
  • ? using the passage of the train restores the
    route to Normal state and unlocks the points

14
Modelling Approach
  • The CPN model in the Interlocking part depends
    on the contents in the control table.
  • Because of 300 stations (to go), we attempt to
    make the generic net structure.
  • The contents of the control table are coded in
    ML functions used in arc inscriptions.
  • ? Thus 300 stations can use the same net
    structure of the Interlocking part.

15
CPN Model Route Setting
require_point_normal(route) require_point_rever
se(route)
16
Excel ? XML
XSLT script
It took me 2- man-months to complete the first
model (including analysis). But the double track
station? It took me only 8-man hours to build
the model (not including analysis).
? ML functions are automatically created from XML
control table using XSLT.
17
CPN Model Route Setting
This part is a great help regardless of
assumptions.
require_point_normal(route) require_point_rever
se(route)
18
Assumptions and their affects on the correctness
of the model
  • To start building the model we have 10
    assumptions.
  • Q The important question is how these
    assumptions affect the model.
  • A I consider that there are some differences
    between the real system and the model. However
    the model in this paper can detect a large part
    of errors which we always encounter.
  • A larger part something is missing or added
    (extra) in the Control Table.

19
Analysis
  • The desired property is no collision.
  • No two train in two consecutive track circuits.
  • Using ML query functions.
  • To convince the model correctness
  • After route(s) setting and train(s) movement ,
  • The terminal markings shall be as we expect.
  • To debug the model using an incremental approach
    . Starting from one route setting - one train

20
Terminal markings
Using query ML and state space search No train
collision is detected in case A,B and C
21
Conclusion
  • A control table for the small and typical single
    line railway station is modelled and analysed.
  • This CPN model can be adapted and re-used for
    SRTs double track projects (300-350 stations) .
  • We propose to convert Control tables to ML
    functions using XSLT.
  • Thus the CPN models of other interlocking can be
    rapidly built.
  • These models will help to detect errors in
    control tables in the early phase of system
    development.

22
Future work
  • Relaxes modelling assumptions
  • Revises the CPN subpages and arranges a library
    of CPN patterns
  • Create CPN models directly from Track layout
    drawing.

23
  • Thank You!
  • Questions and comments?

24
(No Transcript)
25
Initial markings
  • - noTrain at other places
  • setting commands for all 8 routes
  • - Both blocks in Coming states
  • A Block request command for going toward Bangkok

26
Analysis results
State space sizes
More trains ? less number of possible train
movements Less trains ? more number of possible
train movements Not true in general (e.g. double
track and large stations)
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