Development and validation of a low-cost infrared measurement system for real-time monitoring of indoor thermal comfort

2014 ◽  
Vol 25 (8) ◽  
pp. 085101 ◽  
Author(s):  
G M Revel ◽  
M Arnesano ◽  
F Pietroni
2019 ◽  
Vol 9 (13) ◽  
pp. 2695
Author(s):  
J. Jesús Villegas-Saucillo ◽  
José Javier Díaz-Carmona ◽  
Carlos A. Cerón-Álvarez ◽  
Raúl Juárez-Aguirre ◽  
Saúl M. Domínguez-Nicolás ◽  
...  

Oil and gas pipeline networks require the periodic inspection of their infrastructure, which can cause gas and oil leakage with several damages to the environment and human health. For this, non-destructive testing (NDT) techniques of low-cost and easy implementation are required. An option is the metal magnetic memory (MMM) method, which could be used for real-time monitoring defects of ferromagnetic structures based on the analysis of self-magnetic leakage fields distribution around each defect. This method only requires magnetic sensors with high resolution and a data processing system. We present a measurement system of tangential and normal MMM signals of three rectangular defects of an ASTM A-36 steel pipe. This system is formed by a magnetoresistive sensor, an Arduino nano and a virtual instrumentation. The measured magnetic signals have non-uniform distributions around the rectangular defects, which have small differences with respect to the results obtained of a 2D magnetic dipole model. The size of each rectangular defect is related to the amplitude and shape of its tangential and normal MMM signals. The proposed system could be used for real-time monitoring of the size and location of rectangular defects of ferromagnetic pipes. This system does not require expensive equipment, operators with high skill level or a special treatment of the ferromagnetic samples.


2020 ◽  
Vol 15 ◽  
pp. 155892502097726
Author(s):  
Wei Wang ◽  
Zhiqiang Pang ◽  
Ling Peng ◽  
Fei Hu

Performing real-time monitoring for human vital signs during sleep at home is of vital importance to achieve timely detection and rescue. However, the existing smart equipment for monitoring human vital signs suffers the drawbacks of high complexity, high cost, and intrusiveness, or low accuracy. Thus, it is of great need to develop a simplified, nonintrusive, comfortable and low cost real-time monitoring system during sleep. In this study, a novel intelligent pillow was developed based on a low-cost piezoelectric ceramic sensor. It was manufactured by locating a smart system (consisting of a sensing unit i.e. a piezoelectric ceramic sensor, a data processing unit and a GPRS communication module) in the cavity of the pillow made of shape memory foam. The sampling frequency of the intelligent pillow was set at 1000 Hz to capture the signals more accurately, and vital signs including heart rate, respiratory rate and body movement were derived through series of well established algorithms, which were sent to the user’s app. Validation experimental results demonstrate that high heart-rate detection accuracy (i.e. 99.18%) was achieved in using the intelligent pillow. Besides, human tests were conducted by detecting vital signs of six elder participants at their home, and results showed that the detected vital signs may well predicate their health conditions. In addition, no contact discomfort was reported by the participants. With further studies in terms of validity of the intelligent pillow and large-scale human trials, the proposed intelligent pillow was expected to play an important role in daily sleep monitoring.


2015 ◽  
Vol 47 (3) ◽  
pp. 236-251 ◽  
Author(s):  
Bambang Kuswandi ◽  
Fitria Damayanti ◽  
Jayus Jayus ◽  
Aminah Abdullah ◽  
Lee Yook Heng

Author(s):  
Oscar Izquierdo-Monge ◽  
Paula Peña-Carro ◽  
Mariano Martín Martínez ◽  
Luis Hernández-Callejo ◽  
Oscar Duque-Perez ◽  
...  

2019 ◽  
Vol 1372 ◽  
pp. 012015
Author(s):  
Yin Qing Tan ◽  
Shyh Jeh Hwan ◽  
Siow Cheng Chan

ACS Sensors ◽  
2020 ◽  
Vol 5 (12) ◽  
pp. 4081-4091
Author(s):  
Stephanie Klinghammer ◽  
Tetiana Voitsekhivska ◽  
Nadia Licciardello ◽  
Kihyun Kim ◽  
Chang-Ki Baek ◽  
...  

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