Design and Implementation of a Deployment Model and Data Pipeline for ADS-B Data Processing

Institut

Lehrstuhl für Flugsystemdynamik

Typ

Masterarbeit /

Inhalt

konstruktiv /  

Beschreibung

Background:

The Institute for Flight System Dynamics (FSD) operates an ADS-B Antenna, which receives broadcasted data from aircraft (a/c); see Figure 1 and Figure 3. We use an open-source ADS-B decoder to decode the received radio signals.

To make our ADS-B data accessible for batch and real-time analyses regarding Munich Airport (EDDM), we need a deployment model and data pipeline to be designed and implemented on the FSD’s cluster computer.

 

Task Description:

From a previous EU-Project SafeOPS, we have a data pipeline built for ADS-B data, retrieved as batch data from external providers. With our ADS-B antenna installed, we would like to develop the investigated use case further toward online risk assessment. Therefore, the following work packages are identified as next steps:

WP1: Familiarize with ADS-B Data, ADS-B decoder software, and possible deployment models (data warehouse/data lake/lambda/delta architecture…).

WP2: Design a deployment model suitable for the needs of the use case and the provided resources of our cluster. Also, deploying additional data (e.g. weather à METAR, DWD API) should be considered.

WP3: Implementation of the data deployment on the cluster

WP4: Implementation of a data pipeline on the cluster

WP5: Documentation

Voraussetzungen

General interest in aviation and data science

Basic knowledge of Docker

Basic knowledge of Linux OS

Proficient Coding Skills in Matlab or Python; JS and C basics would be beneficial.

Möglicher Beginn

sofort

Kontakt

Lukas Beller
Raum: MW3627
Tel.: 08928916569
lukas.bellertum.de

Ausschreibung