Spletna aplikacija za vizualizacijo senzorskih podatkov

diplomsko delo

Matej Gašperič (Author), Mira Trebar (Mentor)

Abstract

Senzorski podatki, ki so merjeni ob različnih časovnih intervalih, se lahko prikažejo na različne načine, pri tem pa je ljudem najbljižji grafični prikaz. Diplomska naloga zajema načrtovanje in izdelavo spletne aplikacije za uvoz obstoječih podatkov v lastno podatkovno bazo ter vizualizacijo podatkov v obliki tabele, črtnega grafikona in stolpičnega diagrama. Uvoz podatkov je mogoč na tri različne načine: ročni uvoz z dodatnim vnosom metapodatkov za podane meritve, ki zahteva nekoliko več uporabniške interakcije; uvoz iz datoteke brez dodatne interakcije uporabnika; ter uvoz iz oddaljene storitve Google Drive, ki omogoča pridobivanje podatkov iz drugih obstoječih sistemov. Spletna aplikacija je razvita v programskem jeziku PHP in ogrodju Laravel, pri gradnji uporabniškega vmesnika pa sta uporabljeni ogrodji Vue.js in Tailwind. Vizualizacija podatkov je urejena s pomočjo knjižnice za vizualiziranje Amcharts. Ob prikazanih podatkih je uporabniku na voljo tudi izvoz v obliki slike ali datoteke .csv.

Keywords

Laravel;vizualizacija;senzorski podatki;amcharts;visokošolski strokovni študij;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2021
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[M. Gašperič]
UDC:	004.774(043.2)
COBISS:	92214275
Views:	193
Downloads:	38
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Web application for sensor data visualization
Secondary abstract:	Sensory data measured at different time intervals can be displayed in different ways, however, presenting it in a graphical representation has been found to be the easiest to understand by many users. This diploma thesis includes the planning and development of a web application for the import of existing data into its own database, and the visualization of data in the form of a table, line chart, and column chart. Data import is possible in three different ways: manual import with additional metadata entry for given measurements, which requires slightly more user interaction; import from file without additional user interaction; and import from a remote service Google Drive that allows retrieval of data from other existing systems. The web application is developed in the PHP programming language and the Laravel framework. The user interface is developed with Vue.js and Tailwind frameworks. Data visualization is arranged using the Amcharts visualization library. In addition to a display, the user can also export data in the form of an image or .csv file.
Secondary keywords:	web application;Laravel;visualization;sensors data;amcharts;computer science;diploma;Spletne aplikacije;Računalništvo;Diplome;
Type (COBISS):	Bachelor thesis/paper
Study programme:	1000470
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	72 str.
ID:	14219216