Python web server for sensor data visualization.

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Python web server for sensor data visualization.

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Python web server for sensor data visualization.

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/TA04020888" target="_blank" >TA04020888: Bezkontaktní monitorování a časoprostorové modelování variability vybraných diferenciačních vlastností půdy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Multidisciplinary Scientific GeoConference &amp; EXPO SGEM

ISBN

978-619-7105-58-2

ISSN

1314-2704

e-ISSN

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Počet stran výsledku

8

Strana od-do

803-810

Název nakladatele

STEF92 Technology Ltd.

Místo vydání

Sofia

Místo konání akce

Albena

Datum konání akce

30. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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