CLEAN-Collaborative low-cost environmental and air-quality network

被引:4
作者
Campo, Fernando [1 ]
Franco, Davide [2 ]
Santos, Felipe de Campos [3 ]
Blanco-Rodriguez, Andy [1 ]
Garcia-Ramirez, Alejandro Rafael [4 ]
Ratao, Gabriel [5 ]
Hoinaski, Leonardo [2 ]
机构
[1] Univ Fed Santa Catarina, Grad Program Environm Engn, Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina, Dept Sanit & Environm Engn, Florianopolis, SC, Brazil
[3] Univ Fed Santa Catarina, Undergrad Program Computat Sci Engn, Florianopolis, SC, Brazil
[4] Univ Vale Itajai, Ctr Ciencias Tecnol Terra & Mar CTTMar, Itajai, SC, Brazil
[5] Univ Fed Santa Catarina, Undergrad Program Sanit & Environm Engn, Florianopolis, SC, Brazil
关键词
Air quality monitoring; Arduino; Low-cost monitoring; Web application; Internet of things; POLLUTION; PERFORMANCE; SENSORS;
D O I
10.1016/j.envsoft.2023.105664
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Air quality monitoring is insufficient in most countries, even though air pollution is a major environmental threat to human health. This paper presents the Collaborative Low-cost Environmental Air-quality Network (CLEAN), which consists of a series of guides and tools to develop the hardware and software for building a network of lowcost air quality monitors. Our web platform provides an Application Programming Interface (API) that allows developers to send the data from their devices to a remote server. All data will be available for any user and data consumers. Collaborators can replicate hardware and firmware components and contribute to the network. We present the hardware prototypes for demonstration, providing the developed firmware and libraries based on the Arduino framework. All guides and documentation for contributing to the initiative are freely available. CLEAN can be a foundation for building knowledge about air quality issues from a local to global scale and serve for educational purposes.
引用
收藏
页数:7
相关论文
共 50 条
[41]   Development of an environmental chamber for evaluating the performance of low-cost air quality sensors under controlled conditions [J].
Papapostolou, Vasileios ;
Zhang, Hang ;
Feenstra, Brandon J. ;
Polidori, Andrea .
ATMOSPHERIC ENVIRONMENT, 2017, 171 :82-90
[42]   Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information [J].
Considine, Ellen M. ;
Braun, Danielle ;
Kamareddine, Leila ;
Nethery, Rachel C. ;
deSouza, Priyanka .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2023, 57 (03) :1391-1402
[43]   Future Low-Cost Urban Air Quality Monitoring Networks: Insights from the EU's AirHeritage Project [J].
De Vito, Saverio ;
Del Giudice, Antonio ;
D'Elia, Gerardo ;
Esposito, Elena ;
Fattoruso, Grazia ;
Ferlito, Sergio ;
Formisano, Fabrizio ;
Loffredo, Giuseppe ;
Massera, Ettore ;
D'Auria, Paolo ;
Di Francia, Girolamo .
ATMOSPHERE, 2024, 15 (11)
[44]   Low-Cost Air Quality Monitoring Tools: From Research to Practice (A Workshop Summary) [J].
Clements, Andrea L. ;
Griswold, William G. ;
Abhijit, R. S. ;
Johnston, Jill E. ;
Herting, Megan M. ;
Thorson, Jacob ;
Collier-Oxandale, Ashley ;
Hannigan, Michael .
SENSORS, 2017, 17 (11)
[45]   Low-Cost Smart Sensing Pipeline: Assembly, Calibration, and Interpretation of Air Quality Data [J].
Furtado, Lara Sucupira ;
Monteiro, Nicolas ;
Gurjao, Nayara ;
Cavalcante, Rivelino M. ;
Silva Filho, Jose Edilson ;
Nunes da Silveira, Jarbas Aryel ;
Santos, Rafael ;
Soares, Jorge Barbosa ;
Fernandes de Macedo, Jose Antonio .
2024 IEEE INTERNATIONAL SMART CITIES CONFERENCE, ISC2, 2024,
[46]   An Investigation on the Possible Application Areas of Low-Cost PM Sensors for Air Quality Monitoring [J].
Suriano, Domenico ;
Prato, Mario .
SENSORS, 2023, 23 (08)
[47]   Development of a low-cost sensing platform for air quality monitoring: application in the city of Rome [J].
Shindler, Luca .
ENVIRONMENTAL TECHNOLOGY, 2021, 42 (04) :618-631
[48]   Calibration of Integrated Low-Cost Environmental Sensors for Urban Air Temperature Based on Machine Learning [J].
Nan, Fang ;
Zeng, Chao ;
Shen, Huanfeng ;
Lin, Liupeng .
SENSORS, 2025, 25 (11)
[49]   Inter-comparison of environmental low-cost sensors on Arduino platform [J].
Scagliotti A.F. ;
Jorge G.A. .
Journal of the IEST, 2020, 63 (01) :35-45
[50]   Design of a Low-Cost System for the Measurement of Variables Associated With Air Quality [J].
Martinez, Alain ;
Hernandez-Rodriguez, Erik ;
Hernandez, Luis ;
Schalm, Olivier ;
Gonzalez-Rivero, Rosa Amalia ;
Alejo-Sanchez, Daniellys .
IEEE EMBEDDED SYSTEMS LETTERS, 2023, 15 (02) :105-108