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Title:Razvoj sistema za predčasno alarmiranje javnosti v primeru poplavljanja rek
Authors:ID Gartnar, Boštjan (Author)
ID Škraba, Andrej (Mentor) More about this mentor... New window
ID Kofjač, Davorin (Comentor)
Files:.pdf VS_Gartnar_Bostjan_2017.pdf (2,78 MB)
MD5: 33BF67224963582F1510FF878E11DFF6
PID: 20.500.12556/dkum/cc5fef68-0952-469c-a8bc-4e7ec24921dd
 
Language:Slovenian
Work type:Bachelor thesis/paper
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Diplomsko delo obravnava izdelavo prototipne rešitve za predčasno alarmiranje v primeru nastanka poplav na podlagi meritev preko infrardečega tipala. Opisan je razvoj aplikacije, ki omogoča prikaz odčitanih podatkov. Podatki se v realnem času prikazujejo na spletni strani na grafu. S pomočjo razvite aplikacije lahko uporabnik spremlja nivo vodostaja. Poleg grafičnega prikaza je mogoče na zemljevidu spremljati lokacijo senzorja. Pod grafom lahko uporabnik odčita razdaljo, ki opredeli vodostaj, preden ta doseže kritično višino. Za boljši nadzor oziroma obveščanje rešitev vključuje tudi obveščanje prek SMS-sporočil v primeru dviga vodostaja na kritičen nivo.
Keywords:poplave, alarmiranje, Node.js, infrardeči senzor, internet stvari.
Place of publishing:Maribor
Year of publishing:2017
PID:20.500.12556/DKUM-68055 New window
COBISS.SI-ID:7968531 New window
NUK URN:URN:SI:UM:DK:MVK75P9H
Publication date in DKUM:26.09.2017
Views:9179
Downloads:135
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:07.09.2017

Secondary language

Language:English
Title:System development for early public warning in case of flood
Abstract:The dissertation describes a prototype solution for early alarming in case of floods based on measurements via an infrared sensor. The solution covers the read data from the infrared sensor. They are displayed on the web page in the graph. Through it, the user can see the height of water level. In addition to the graph, there is an integrated Google Map showing the location of the sensor. Under the graph, the user can read the distance that the water still has before crossing the banks and thus flooding. For better control, the solution also includes SMS notification when the water level starts to rise to a critical level.
Keywords:Floods, Alarming, Node.js, Infrared sensor, Internet of Things


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