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Utveckling av webbaserat blixtdetekteringssystem
KTH, School of Information and Communication Technology (ICT).
KTH, School of Information and Communication Technology (ICT).
2016 (Swedish)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesisAlternative title
Development of a web-based lightning detection system (English)
Abstract [en]

In this paper we suggest a lightning detection system capable of warning a local populous of incoming lightning weather using a combination of the AS3935 sensor and the one-board-computer Raspberry Pi, in an attempt to design a product that is cheap, mobile and easy to use.

The product is composed of a sensor net that registers and reports lightnings on a webserver. The server is reachable as a normal website based on the LAMP method.

The project reached a stadium which should satisfy a “proof of concept”, however, the product is far from complete, as it lacks the necessary algorithms needed for proper data computation. The current system only uses Raspberry pi, but it is theoretically possible to introduce other hardware to the system, but the current developed product does not support such functionality.

Abstract [sv]

I den här rapporten föreslår vi ett blixtlokaliseringssystem kapabelt att varna lokal befolkningen om inkommande blixtväder med hjälp av en kombination av sensorn AS3935 och enchipsdatorn Raspberry Pi, i ett försök att skapa en produkt som är billig, mobil och användarvänlig.

Systemet består av ett nät av sensorer som registrerar och rapporterar blixtaktivitet på en webbserver. Servern är nåbar som en vanlig hemsida som är byggd enligt LAMP metoden.

Projektet har nått ett stadium som borde uppnå kraven för ett ”bevis av ett koncept”, men produkten är långt ifrån färdig, då den saknar de nödvändiga algoritmerna som krävs för ordentlig databehandling. Det nuvarande systemet använder sig enbart av Rasberry Pi:s, men i teorin vore det fullt möjligt att introducera ny hårdvara i nätet, men den nuvarande produkten stöder inte sådan funktionalitet.

Place, publisher, year, edition, pages
2016. , 54 p.
Series
TRITA-ICT-EX, 2016:200
Keyword [en]
Sensor, AS3935, Lightning detection, TOA, Algortihm, MDF, Php, Apache, LAMP, Rasperry pi, server, Pushbullet.
Keyword [sv]
Sensor, AS3935, Blixtdetektering, TOA, Algoritm, MDF, Php, Apache, LAMP, Rasperry pi, server, Pushbullet.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-205185OAI: oai:DiVA.org:kth-205185DiVA: diva2:1087473
Subject / course
Electronic- and Computer Systems
Educational program
Bachelor of Science in Engineering - Electronics and Computer Engineering
Supervisors
Examiners
Available from: 2017-04-07 Created: 2017-04-07 Last updated: 2017-04-25Bibliographically approved

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CiteExportLink to record
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