A low cost automated data acquisition system for urban sites temperature and humidity monitoring based in Internet of Things

Author(s):  
Natanael A. V. Simoes ◽  
Gracinete B. de Souza
Author(s):  
Cheyma BARKA ◽  
Hanen MESSAOUDI-ABID ◽  
Houda BEN ATTIA SETTHOM ◽  
Afef BENNANI-BEN ABDELGHANI ◽  
Ilhem SLAMA-BELKHODJA ◽  
...  

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2382 ◽  
Author(s):  
Antonio Vidal-Pardo ◽  
Santiago Pindado

In this work, a new and low-cost Arduino-Based Data Acquisition System (ABDAS) for use in an aerodynamics lab is developed. Its design is simple and reliable. The accuracy of the system has been checked by being directly compared with a commercial and high accuracy level hardware from National Instruments. Furthermore, ABDAS has been compared to the accredited calibration system in the IDR/UPM Institute, its measurements during this testing campaign being used to analyzed two different cup anemometer frequency determination procedures: counting pulses and the Fourier transform. The results indicate a more accurate transfer function of the cup anemometers when counting pulses procedure is used.


Author(s):  
Pedro Leineker Ochoski Machado ◽  
Luis Vitorio Gulineli Fachini ◽  
Vitor Otávio Ochoski Machado ◽  
Romeu Miqueias Szmoski ◽  
Thiago Antonini Alves

In the present work, an experimental analysis was performed to obtain the calibration curve of three load cells connected in series. The control of the load applied on a given component is an important factor in some engineering applications, for example, in cases where it is desired to increase the heat exchange between two surfaces. One of the ways to control the applied load is the use of load cells, which has as its principle of use a strain gauge that has its resistance varied when it undergoes a deformation, thus causing a voltage variation due to the application of load. This study used an ArduinoTM microcontroller as a data acquisition system and blocks with known mass for load application.  In this way it was possible to obtain the calibration curve of the load cells by means of linear regression between the mass of the blocks and the data obtained by the ArduinoTM microcontroller and verify their applicability according to their measurement uncertainties.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1064
Author(s):  
Antonio C. Domínguez-Brito ◽  
Jorge Cabrera-Gámez ◽  
Manuel Viera-Pérez ◽  
Eduardo Rodríguez-Barrera ◽  
Luis Hernández-Calvento

Environmental studies on coastal dune systems are faced with a considerable cost barrier due to the cost of the instrumentation and sensory equipment required for data collection. These systems play an important role in coastal areas as a protection against erosion and as providers of stability to coastal sedimentary deposits. The DIY (Do-It-Yourself) approach to data acquisition can reduce the cost of these environmental studies. In this paper, a low-cost DIY wireless wind data acquisition system is presented which reduces the cost barrier inherent to these types of studies. The system is deployed for the analysis of the foredune of Maspalomas, an arid dune field situated on the south coast of Gran Canaria (Canary Islands, Spain), for the specific purpose of studying the dynamics of a dune type (tongue dunes), which is typical of this environment. The results obtained can be of interest for the study of these coastal environments at both the local level, for the management of this particular dune field, and at the general level for other similar dune fields around the world.


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