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master's thesis
IoT sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT
2022. urn:nbn:hr:179:088477
Šabić, Josip
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Šabić, J. (2022). IoT sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:088477

Šabić, Josip. "IoT sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:088477

Šabić, Josip. "IoT sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:088477

Šabić, J. (2022). 'IoT sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 22 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:088477

Šabić J. IoT sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 April 22] Available at: https://urn.nsk.hr/urn:nbn:hr:179:088477

J. Šabić, "IoT sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:088477

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Metadata
TitleIoT sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT
Title (english)System for collecting sensory data based on the technology of Bluetooth Low Energy and AWS IoT
AuthorJosip Šabić
MentorToni Perković https://orcid.org/0000-0001-8826-4905 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Abstract
U ovom radu napravljen je sustav za prikupljanje senzorskih podataka temeljen na Bluetooth Low Energy tehnologiji i AWS IoT. Kako bi se realizirao cijeli projekt bilo je potrebno konfigurirati pristupnik i upoznati se sa svojstvima i načinom rada senzora. Sustav je izrađen u dva dijela, podijeljen po vrsti senzora – pametne narukvice E66 i Sentrius BT510 senzor. Napisan je Python kod za oba slučaja koji omogućuje spajanje na uređaj poznavajući MAC adresu, prikupljanje senzorskih podataka sa uređaja i njihovo prosljeđivanje na AWS putem MQTT protokola korištenjem dvije biblioteke – AWSIoTPythonSDK i bluepy. Podaci su prikupljeni i uz pomoć Amazon Kinesis spremljeni na Amazon S3. Korištenjem Amazon Athena podaci su uvršteni u tablice koje se koriste od strane Amazon QuickSight za analizu i grafički prikaz.
Abstract (english)
In this thesis, a system for collecting sensory data based on the technology of Bluetooth Low Energy and AWS IoT has been created. In order to implement the whole project, it was necessary to configurate the gateway and to familiarise oneself with the features and the way in which the sensor works. The system is worked out in two parts, splitted according to the type of sensor - smart bracelets E66 and the sensor Sentrius BT510. Additionally, a Python Code has been created for both cases. It enables the connection with the device by means of the recognition of the MAC adress, the collection of the sensory data from the device and their sharing to AWS via the MQTT protocol by using two libraries -AWSIoTPythonSDK and bluepy. The data is collected and saved on Amazon S3 by using Amazon Kinesis. By using Amazon Athena, the data is classified into tables which are used by Amazon QuickSight for the analysis and the graphic presentation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:088477
Study programmeTitle: Electronics and Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektronike i računalnog inženjerstva (magistar/magistra inženjer/inženjerka elektronike i računalnog inženjerstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-07-05 12:16:47