Módulo autónomo de bajo costo para monitoreo de la calidad del aire.
The concentration of particulate matter (PM) with aerodynamic diameter <10μm (PM10) and <2.5μm (PM2.5) are parameters widely used to determine the level of pollution in the air we breathe. Based on a project of Citizen Science https://luftdaten.info born in Stuttgart (Germany), a prototype wil...
- Autores:
-
Beleño Gómez, Juan Camilo
Sandoval Jiménez, José Andrés
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad del Norte
- Repositorio:
- Repositorio Uninorte
- Idioma:
- spa
- OAI Identifier:
- oai:manglar.uninorte.edu.co:10584/9410
- Acceso en línea:
- http://hdl.handle.net/10584/9410
- Palabra clave:
- Luftdaten
LoRa
Arduino
Gateway
TTN
Aire
Luftdaten
Air
LoRa
Arduino
Gateway
TTN
- Rights
- License
- Universidad del Norte
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oai_identifier_str |
oai:manglar.uninorte.edu.co:10584/9410 |
network_acronym_str |
REPOUNORT2 |
network_name_str |
Repositorio Uninorte |
repository_id_str |
|
dc.title.es_ES.fl_str_mv |
Módulo autónomo de bajo costo para monitoreo de la calidad del aire. |
dc.title.en_US.fl_str_mv |
Low-cost stand-alone air quality monitoring module. |
title |
Módulo autónomo de bajo costo para monitoreo de la calidad del aire. |
spellingShingle |
Módulo autónomo de bajo costo para monitoreo de la calidad del aire. Luftdaten LoRa Arduino Gateway TTN Aire Luftdaten Air LoRa Arduino Gateway TTN |
title_short |
Módulo autónomo de bajo costo para monitoreo de la calidad del aire. |
title_full |
Módulo autónomo de bajo costo para monitoreo de la calidad del aire. |
title_fullStr |
Módulo autónomo de bajo costo para monitoreo de la calidad del aire. |
title_full_unstemmed |
Módulo autónomo de bajo costo para monitoreo de la calidad del aire. |
title_sort |
Módulo autónomo de bajo costo para monitoreo de la calidad del aire. |
dc.creator.fl_str_mv |
Beleño Gómez, Juan Camilo Sandoval Jiménez, José Andrés |
dc.contributor.advisor.none.fl_str_mv |
Torres Herrera, Luis |
dc.contributor.author.none.fl_str_mv |
Beleño Gómez, Juan Camilo Sandoval Jiménez, José Andrés |
dc.subject.es_ES.fl_str_mv |
Luftdaten LoRa Arduino Gateway TTN Aire |
topic |
Luftdaten LoRa Arduino Gateway TTN Aire Luftdaten Air LoRa Arduino Gateway TTN |
dc.subject.en_US.fl_str_mv |
Luftdaten Air LoRa Arduino Gateway TTN |
description |
The concentration of particulate matter (PM) with aerodynamic diameter <10μm (PM10) and <2.5μm (PM2.5) are parameters widely used to determine the level of pollution in the air we breathe. Based on a project of Citizen Science https://luftdaten.info born in Stuttgart (Germany), a prototype will be used to measure PM with low-cost sensors. The air quality measurements are made through a node and sent to the Luftdaten web platform, where they can be analyzed. These modules communicate with the website Luftdaten.info which receives all the data taken by the module and projects it. The communication protocol used by the module is Wi-Fi. The aim of the project is to successfully replace the Wi-Fi protocol with the LoRaWAN protocol. The solution initially proposed consists of a SDS011 particulate material sensor, a DHT22 temperature and relative humidity sensor, an Arduino Mega 2560 R3 controller and the LoRa RHF76-052 chip. The devices are connected to the Arduino and through a developed code the data is sent to the LoRa LG02 Gateway. This proposal presented difficulties at the time of assembly, because the LoRas used presented difficulties in communicating. Due to the inconveniences presented with the chip, it was decided to take the proposal presented by Luftdaten. This proposal consists of using an Arduino module integrated with a LoRa chip. This type of proposal, although more reliable, because errors like those presented in the original idea do not happen, is usually more expensive. The module measures and sends the data every 15 minutes. The Gateway will receive the data sent by the LoRa and will forward it to TTN where the received data can be viewed. In turn, TTN forwards this information to a server where a Python code is executed. This code uses the Luftdaten.info API to forward the information. |
publishDate |
2020 |
dc.date.issued.none.fl_str_mv |
2020-11-26 |
dc.date.accessioned.none.fl_str_mv |
2021-02-11T14:53:50Z |
dc.date.available.none.fl_str_mv |
2021-02-11T14:53:50Z |
dc.type.es_ES.fl_str_mv |
article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10584/9410 |
url |
http://hdl.handle.net/10584/9410 |
dc.language.iso.es_ES.fl_str_mv |
spa |
language |
spa |
dc.rights.es_ES.fl_str_mv |
Universidad del Norte |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Universidad del Norte http://purl.org/coar/access_right/c_abf2 |
dc.publisher.es_ES.fl_str_mv |
Barranquilla, Universidad del Norte, 2020 |
institution |
Universidad del Norte |
bitstream.url.fl_str_mv |
https://manglar.uninorte.edu.co/bitstream/10584/9410/1/PF_DIAGRAMA.png https://manglar.uninorte.edu.co/bitstream/10584/9410/2/PF_DIAGRAMA.pdf https://manglar.uninorte.edu.co/bitstream/10584/9410/3/license.txt |
bitstream.checksum.fl_str_mv |
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bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Digital de la Universidad del Norte |
repository.mail.fl_str_mv |
mauribe@uninorte.edu.co |
_version_ |
1812183091564773376 |
spelling |
Torres Herrera, LuisBeleño Gómez, Juan CamiloSandoval Jiménez, José Andrés2021-02-11T14:53:50Z2021-02-11T14:53:50Z2020-11-26http://hdl.handle.net/10584/9410The concentration of particulate matter (PM) with aerodynamic diameter <10μm (PM10) and <2.5μm (PM2.5) are parameters widely used to determine the level of pollution in the air we breathe. Based on a project of Citizen Science https://luftdaten.info born in Stuttgart (Germany), a prototype will be used to measure PM with low-cost sensors. The air quality measurements are made through a node and sent to the Luftdaten web platform, where they can be analyzed. These modules communicate with the website Luftdaten.info which receives all the data taken by the module and projects it. The communication protocol used by the module is Wi-Fi. The aim of the project is to successfully replace the Wi-Fi protocol with the LoRaWAN protocol. The solution initially proposed consists of a SDS011 particulate material sensor, a DHT22 temperature and relative humidity sensor, an Arduino Mega 2560 R3 controller and the LoRa RHF76-052 chip. The devices are connected to the Arduino and through a developed code the data is sent to the LoRa LG02 Gateway. This proposal presented difficulties at the time of assembly, because the LoRas used presented difficulties in communicating. Due to the inconveniences presented with the chip, it was decided to take the proposal presented by Luftdaten. This proposal consists of using an Arduino module integrated with a LoRa chip. This type of proposal, although more reliable, because errors like those presented in the original idea do not happen, is usually more expensive. The module measures and sends the data every 15 minutes. The Gateway will receive the data sent by the LoRa and will forward it to TTN where the received data can be viewed. In turn, TTN forwards this information to a server where a Python code is executed. This code uses the Luftdaten.info API to forward the information.La concentración de material particulado (Particulate Matter, PM) con diámetro aerodinámico <10μm (PM10) y <2.5μm (PM2.5) son parámetros ampliamente usados para determinar el nivel de contaminación del aire que respiramos. Basándose en un proyecto de Citizen Science https://luftdaten.info nacido en Stuttgart (Alemania), se usará un prototipo para la medición de PM con sensores de bajo costo. Se realiza la medición de la calidad del aire mediante un nodo y se envían a la plataforma web de Luftdaten, donde se pueden analizar. Estos módulos se comunican con la página web Luftdaten.info que recibe todos los datos tomados por el módulo y los proyecta. El protocolo de comunicación que utiliza el módulo es Wi-Fi. El objetivo del proyecto es reemplazar satisfactoriamente el protocolo Wi-Fi, por el protocolo LoRaWAN. La solución propuesta inicialmente consta de un sensor de material particulado SDS011, un sensor de temperatura y humedad relativa DHT22, un controlador Arduino Mega 2560 R3 y el chip LoRa RHF76-052. Al Arduino se conectan los dispositivos y mediante un código desarrollado se envían los datos al Gateway LoRa LG02. Esta propuesta presentó dificultades al momento del montaje, debido a que los LoRas utilizados presentaron dificultades para comunicarse. Debido a los inconvenientes presentados con el chip, se optó por tomar la propuesta que presenta Luftdaten. Esta propuesta consiste en utilizar un módulo Arduino integrado con un chip LoRa, este tipo de propuesta aunque más confiable, debido a que errores como los presentados en la idea original no suceden, suele ser más costoso. El módulo mide y envía los datos cada 15 minutos. El Gateway recibirá los datos enviados por el LoRa y los reenviará a TTN en la cual se pueden visualizar los datos recibidos. A su vez, TTN reenvía esta información a un servidor donde se ejecuta un código de Python. Este código se sirve de la API de Luftdaten.info para reenviar la información.spaBarranquilla, Universidad del Norte, 2020Universidad del Nortehttp://purl.org/coar/access_right/c_abf2LuftdatenLoRaArduinoGatewayTTNAireLuftdatenAirLoRaArduinoGatewayTTNMódulo autónomo de bajo costo para monitoreo de la calidad del aire.Low-cost stand-alone air quality monitoring module.articlehttp://purl.org/coar/resource_type/c_6501ORIGINALPF_DIAGRAMA.pngPF_DIAGRAMA.pngimage/png223711https://manglar.uninorte.edu.co/bitstream/10584/9410/1/PF_DIAGRAMA.png1940e6adacb81b6a07f2fa28f28a5bbfMD51PF_DIAGRAMA.pdfPF_DIAGRAMA.pdfapplication/pdf280101https://manglar.uninorte.edu.co/bitstream/10584/9410/2/PF_DIAGRAMA.pdf4828bc2a990c8f9ef1e6573b7366168fMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://manglar.uninorte.edu.co/bitstream/10584/9410/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310584/9410oai:manglar.uninorte.edu.co:10584/94102021-02-11 09:53:51.248Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.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 |