scholarly journals Low Power Multisensors for Selective Gas Detection

2021 ◽  
Vol 6 (1) ◽  
pp. 89
Author(s):  
Virginie Martini ◽  
Khalifa Aguir ◽  
Bruno Lawson ◽  
Marc Bendahan

The aim of this work is the realization of a generic gas multisensor device based on MOX sensitive layer. We designed and modeled a novel detection system with several heating zones associated with three sensors supported on a membrane with a few micrometers of thickness. The design was optimized to overcome the problems of response stability and selectivity and to reduce power consumption. The heat repartition and the power consumption in relation to the membrane thickness were studied by finite element simulations. The results show that a membrane thickness of 4 µm decreases the heater temperature by more than 100 K versus 2 µm thickness. Ethanol detection performances were studied. The thermoelectrical characterization concluded that the three detection areas can be heated at 533 K with a power of 53 mW. One sensor was tested in ethanol. The sensor response in 1 ppm and 100 ppm of ethanol in a 50% relative humidity atmosphere was 1.4 and 9.2, respectively. We demonstrated that this detection device can detect ethanol with high sensitivity and stability in dry and humid air with reduced power consumption resulting in 18 mW per sensor.

2014 ◽  
Vol 556-562 ◽  
pp. 2153-2156
Author(s):  
Yue Jun Guo ◽  
Wan Qian Cheng ◽  
Biao Wang

Tunable Diode Laser Absorption Spectroscopy (TDLAS) is a technique for gas detection based on the laser’s characteristics of wavelength scanning and current tuning. It has the advantage of high selectivity, high resolution, high sensitivity and fast reaction speed. The TDLAS detection system is based on the principle of the harmonic detection which is a technique making a signal modulated by a high frequency one scanning for the absorption peak of the gas to be detected, and then processing the detected signal using double frequency of the modulation signal as the reference. In this paper, we designed a laser driver circuit to meet the need of the TDLAS detection system using the LPC2138 microcontroller which is based on an ARM7 CPU as the main controller, using DAC7513 to produce a sawtooth signal, and using AD9958 to produce a sine-wave modulation signal.


2012 ◽  
Vol 220-223 ◽  
pp. 1939-1942 ◽  
Author(s):  
Xi Feng Liang ◽  
Li Hao Liu

Metal-oxide semiconductor gas-sensitive sensors have various advantages as the basic devices of gas detection systems, such as high sensitivity, fast responsibility and low cost, etc. They are widely applied to many fields. Amplifier circuit is an important section of gas detection system. A new type of amplifier circuit including a three-stage operational amplifier was designed in the paper which can effectively eliminate the influence of the follow-up circuit on the sensor output. Theory analysis and experimental simulations were performed. The results show that the output voltage signals have a linear relation with the concentrations of the detected gas.


Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3635 ◽  
Author(s):  
Guoming Zhang ◽  
Xiaoyu Ji ◽  
Yanjie Li ◽  
Wenyuan Xu

As a critical component in the smart grid, the Distribution Terminal Unit (DTU) dynamically adjusts the running status of the entire smart grid based on the collected electrical parameters to ensure the safe and stable operation of the smart grid. However, as a real-time embedded device, DTU has not only resource constraints but also specific requirements on real-time performance, thus, the traditional anomaly detection method cannot be deployed. To detect the tamper of the program running on DTU, we proposed a power-based non-intrusive condition monitoring method that collects and analyzes the power consumption of DTU using power sensors and machine learning (ML) techniques, the feasibility of this approach is that the power consumption is closely related to the executing code in CPUs, that is when the execution code is tampered with, the power consumption changes accordingly. To validate this idea, we set up a testbed based on DTU and simulated four types of imperceptible attacks that change the code running in ARM and DSP processors, respectively. We generate representative features and select lightweight ML algorithms to detect these attacks. We finally implemented the detection system on the windows and ubuntu platform and validated its effectiveness. The results show that the detection accuracy is up to 99.98% in a non-intrusive and lightweight way.


Author(s):  
Soyoun Park ◽  
Hyungmin Kim ◽  
Daniel Juhun Lee ◽  
Taemin Nho ◽  
Seongkweon Kim ◽  
...  

2011 ◽  
Vol 21 (3) ◽  
pp. 770-775 ◽  
Author(s):  
T Ortlepp ◽  
O Wetzstein ◽  
S Engert ◽  
J Kunert ◽  
H Toepfer

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Hyun Myung Kim ◽  
Sang Hyeok Kim ◽  
Gil Ju Lee ◽  
Kyujung Kim ◽  
Young Min Song

We calculated diffraction efficiencies of grating structures inspired byMorphobutterfly wings by using a rigorous coupled-wave analysis method. The geometrical effects, such as grating width, period, thickness, and material index, were investigated in order to obtain better optical performance. Closely packed grating structures with an optimized membrane thickness show vivid reflected colors and provide high sensitivity to surrounding media variations, which is applicable to vapor sensing or healthcare indicators.Morphostructures with high index materials such as zinc sulfide or gallium phosphide generate white color caused by broadband reflection that can be used as reflected light sources for display applications.


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