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BudapestiMűszakiés GazdaságtudományiEgyetem
Méréstechnika és InformációsRendszerekTanszék
Cloud-deployed
Model RailwayControlSystem
Benedek Horváth, Dániel Stein
Supervisor:AndrásVörös
Overview
2
CONTROLLER PROXY
RailwayArchitecture
3
Master Master
SOC
State Machine
[1st Section]
State Machine
[2nd Section]
State Machine
[3rd Section]
State Machine
[Turnout]
State Machine
[1st Section]
State Machine
[2nd Section]
State Machine
[3rd Section]
State Machine
[Turnout]
RailwayCommunication
4
Model Railway Track Network
KVControl TCP
0x81
YakinduCodes - NormalTurnout
KVC-RSKVC-BPE-RS
0x82
YakinduCodes - NormalTurnout
KVC-RSKVC-BPE-RS
0x83
YakinduCodes - NormalTurnout
KVC-RSKVC-BPE-RS
0x84
YakinduCodes - NormalTurnout
KVC-RSKVC-BPE-RS
0x85
YakinduCodes - NormalTurnout
KVC-RSKVC-BPE-RS
0x86-0x87
YakinduCodes - EnglishTurnout
KVC-RSKVC-BPE-RS
HTTPKVControl-
BPExtension HTTP
Cloud Local
machine
Node-RED Introduction
„A visual tool for wiring the Internet ofThings”
5
Communication in Node-RED
6
…
…
Communication in Node-RED
7
Communication in Node-RED
8
Communication in Node-RED
9
Cloud Integration
Running Java:
 PaaS
 Container
 IaaS
10
Communication via:
 IBMWorkflow for Bluemix
 Node-RED via PaaS
 Node-RED in a Container
Node-RED + Bluemix
11
Cloud Integration
12
Prepared containers, startup script,
semi-automated solution.
DEMO
 Docker containers run in Bluemix
 Communicate with local machine
 Stops the trains on the Model Railway Track
 Extra: Bluemix integration with DigitalOcean
IBM Bluemix
13
Difficulties
 Bluemix Docker support undocumented
o Base Docker layer is not provided
o Startup script and configuration is hard to come by
o Only 5 ports published (withouta support ticket)
 Bluemix not fully reliable
 Network communication issues
 Monitoring difficulties
14

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Model Railway Control System Cloud Deployment