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Visualisering av storadatamängder i en webbläsare
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
2016 (Swedish)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesisAlternative title
Visualization of big data in a webbrowser (English)
Abstract [sv]

Scania AB äger komplicerade testsystem som genererar stora och invecklade mängder av data. Ett av dessa testsystem är Hardware-In-the-Loop riggar (HIL) som testar elektriska system och genererar elektriska signaler samt resultat av de utförande testerna. Datat från dessa elektriska signaler skall sedan sparas i JSON-filer. För att dra nytta av Datat måste de sparas i en lämplig databas som kan be-handla denna data på ett bra sätt.Data från elektriska signaler beskriver olika fordonsegenskaper över tiden, vilket kan betraktas som en multivariat tidsserie.I det nuvarande systemet lagras och visualiseras data på ett ineffektivt sätt. Syftet med den första delen av studien är att undersöka 4 relevanta databaser som kan hantera JSON-filer. Den andra delen av detta arbete handlar om metoder för visua-lisering av signaler, det vill säga hur signaler kan representeras i form av grafer.Undersökningsresultat visade att två databaser är mer kvalificerade att ersätta den nuvarande databasen. CouchDB och PostgreSQL testades för att mäta deras pre-standa när det gäller lagring och hämtning av data.Testresultatet visade att CouchDB har högre prestanda för datahämtning än Post-greSQL. Därefter utvecklades en prototyp vars uppdrag var att visualisera signaler i webbläsare.

Abstract [en]

Scania AB owns the complex test systems that generate complex and large amounts of data. To take advantage of this data, it must be stored in a suitable database, de-pending on the data type. One of these test systems is Hardware-In-the-Loop which tests electrical system and produces large amounts of electrical signals. The data of these electrical signals will be saved in the form of JSON files.In the current system, these data are stored and visualized in an inefficient manner. The purpose of this study was to investigate 4 relevant databases that can handle JSON files. The second part of this work was to visualize signals in the web brow-ser.Results of investigations show that two databases were more qualified to replace the current database. CouchDB and PostgreSQL was a test-item to measure their performance in terms of response time in relation to file size and the number of signals.Results of the tests show that CouchDB has higher performance for retrieving data than PostgreSQL. Then, a prototype was developed in order to visualize the signals in the web browser.

Place, publisher, year, edition, pages
2016. , 50 p.
Series
TRITA-STH, 2016:57
Keyword [en]
SQL, NoSQL, JSON, Python, Visualization, Signals
Keyword [sv]
SQL, NoSQL, JSON, Python, Visualisering, Signaler
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-188542OAI: oai:DiVA.org:kth-188542DiVA: diva2:936265
External cooperation
Scania AB
Subject / course
Computer Technology, Program- and System Development
Educational program
Bachelor of Science in Engineering - Computer Engineering
Supervisors
Examiners
Available from: 2016-09-29 Created: 2016-06-13 Last updated: 2016-09-29Bibliographically approved

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