Python web server for sensor data visualization.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33160774" target="_blank" >RIV/61989592:15310/16:33160774 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5593/SGEM2016/B21/S08.101" target="_blank" >http://dx.doi.org/10.5593/SGEM2016/B21/S08.101</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/SGEM2016/B21/S08.101" target="_blank" >10.5593/SGEM2016/B21/S08.101</a>
Alternative languages
Result language
angličtina
Original language name
Python web server for sensor data visualization.
Original language description
The primary goal of this paper is to provide a solution how to visualize enormous amount of meteorological data which are generated from sensors into a map by Python scripting. The combination of Python scripting with powerful database platform based on PostgreSQL provides a high-performance tool for visualizing data from sensors. Sensor data are one of the main components of "Big data" and their post-processing is crucial for the better comprehension of the environment in the area of interest. Sensors measure meteorological phenomenons such as temperature, humidity, wind speed and direction or rainfall. They can also measure carbon dioxide (CO2), nitrous oxide (NO2), volatile organic compound (VOC). These chemical substances are very dangerous air pollutant in cities. These quantities can be shown as line graph for the particular period. Area of interest was supplemented by aerial photos from drone (UAV - Unmanned Aerial Vehicle) taken in fourteen days period. Geometric and radiometric correction were applied to all taken pictures and utilized for the background of the map. The result is a Python web server based on microframework Flask, where communication between Python web server and database is procured by Psycopg2 package. Data modification to machine readable format from a database to a map is secured by Vincent package. Moreover, Folium package ensures access to Leaflet JavaScript library through Python.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA04020888" target="_blank" >TA04020888: Contactless monitoring and spatio-temporally modelling variability of selected differing soil characteristics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Multidisciplinary Scientific GeoConference & EXPO SGEM
ISBN
978-619-7105-58-2
ISSN
1314-2704
e-ISSN
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Number of pages
8
Pages from-to
803-810
Publisher name
STEF92 Technology Ltd.
Place of publication
Sofia
Event location
Albena
Event date
Jun 30, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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