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Architecture
Floral Hall Do-it-yourself parser for Type-B-Messagesby solterbeck.net
of
Service Offer
Turn-key deliveryof Floral Hall
Know-howtransfered
Developers are trained
Requirements:- XML/ASP.Net MVC- Visual Studio- MS SQL Server (Min. Express)- Windows .Net Framework 4.0
XML MessageStructure Repository
Message ParserWeb Service
MicrosoftSQL Server
SQL SrvWeb Application
XML MessageWeb Application
Message ParserWeb Application
DatabaseWeb Service
Web Server (IIS, ASP.Net MVC 4)
MessagecollectorPost RCV Message
WCF Data Service
WCF Data Service
Dataexport
Sample XML docw/ selected datasets
Uses formessageconsolidation
Insertsmessageobject
MessageDatabase
Push selected datasets for export
Selects message object(s),updates message object
Uses formessage parsing
Configuration XML
Webpage
Message Database Reorganisation
Webpage
Aspx
Aspx
Insertsmessageobject
Inserts, deletes &updates XML
structures
Aspx
Message objects gridw/ details
Webpage
Component Diagram Floral Hall
Service parameters
ScalabilityResponse timePerformance
Scalability
No issueNo matter which reporting airport
Response time
Presentation layer throughweb technology
Performance
Large database: 1.5 Mio records* will be listed in seconds* Equivalent of 3 years of messages for a mid-size airport with 100.000 movements per year.
Data elements
Passenger Transfer Message
Load Message
Movement Inbound Connection List
Load Message I/II• Flight characteristics
– Flight identifier– Departure date– Registration
• Message data– Message receive date– Message receive time
• Address and flight information– Priority– Message identifier, SMI and Double signature– Destination– Origin
• Seat configuration– First Class, Business Class and Ecomomy Class– Alternatively Aircraft version
• Number of crew members– At flight deck– At cabin deck
Load Message II/II• Breakdown of passenger numbers
– Destination– Pax Adults– Pax Childs– Pax Infants– Pax First– Pax Business– Pax Economy– Dead head crew (optional)– Passengers allowed to be deplaned (optional))
• Breakdown of Load Weight– Destination– Cargo– Baggage Weight– Baggage Pieces– Mail– Equipment– Others– Total Deadload
Movement I/II• Flight characteristics
– Flight identifier– Departure date– Registration
• Message data– Message receive date– Message receive time
• Address and flight information– Priority– Message identifier, SMI and Double signature– Destination– Origin
Movement II/II• Interpreted flight data
– Estimated arrival time– Airport of movement– Airport of concern– Departure Information
• Is Actual• Off block time• Take off time• Delay codes 1-2• Delay time 1-2• Passenger number• Infant number• DHC Number
– Arrival Information• Is Actual• Off block time• Take off time• Delay codes 1-2• Delay time 1-2
Transfer Messages I/II(Passenger Transfer Message & Inbound Connection List*)
• Flight characteristics– Flight identifier– Departure date– Boarding point– Transfer point– Partnumber
• Message data– Message receive date– Message receive time
• Address and flight information– Priority– Message identifier, SMI and Double signature– Destination– Origin
* optional
Transfer Messages II/II(Passenger Transfer Message & Inbound Connection List*)
• Transfering passengers– Connecting flight number– Passenger‘s destination– Occupying seats– Seat Class– Number of bags– Number of children
Your benefit
Self-driven approach Independently
Implemented inthree months33% less investment
than self-made
More accurate dataRealtime
processingHigh granularity indata detailing
Contact:solterbeck.net | Sven SolterbeckMecklenburger Straße 61 | 65824 SchwalbachGermany | Tel. +49 6196 764280Mail: [email protected]
Presentation by Sven Solterbeck
Sven Solterbeck, blogger, software developer and IT infrastructure consultant, knows the industry for more than 14 years. He has collaborated with well known airports in Germany, Europe, Mid East and Asia.
Solterbeck.net one hand is a blog about IT, airports and social media and on the other hand a start-up platform. Here new software solutions for the aviation industry are developed, with a focus on “Twittairport -Airport on Twitter in Numbers" or "Standardized Collection of Traffic Data at Airports for Billing, Marketing and Operations“.
Presentation made on 19. December 2013.Photo credits: © Jörg Hackemann, Orlando Florin Rosu, kalafoto, Acik, Visual Concepts,Helder Almeida, Michael Nivelet (Fotolia.com).