scholarly journals Application of an Array of Metal-Oxide Semiconductor Gas Sensors in an Assistant Personal Robot for Early Gas Leak Detection

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1957 ◽  
Author(s):  
Jordi Palacín ◽  
David Martínez ◽  
Eduard Clotet ◽  
Tomàs Pallejà ◽  
Javier Burgués ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Mobile Robot ◽  
Gas Sensor ◽  
Gas Sensors ◽  
Sensor Array ◽  
Low Cost ◽  
Gas Sensor Array ◽  
Gas Leak ◽  
Detection Capabilities ◽  
Personal Robot

This paper proposes the application of a low-cost gas sensor array in an assistant personal robot (APR) in order to extend the capabilities of the mobile robot as an early gas leak detector for safety purposes. The gas sensor array is composed of 16 low-cost metal-oxide (MOX) gas sensors, which are continuously in operation. The mobile robot was modified to keep the gas sensor array always switched on, even in the case of battery recharge. The gas sensor array provides 16 individual gas measurements and one output that is a cumulative summary of all measurements, used as an overall indicator of a gas concentration change. The results of preliminary experiments were used to train a partial least squares discriminant analysis (PLS-DA) classifier with air, ethanol, and acetone as output classes. Then, the mobile robot gas leak detection capabilities were experimentally evaluated in a public facility, by forcing the evaporation of (1) ethanol, (2) acetone, and (3) ethanol and acetone at different locations. The positive results obtained in different operation conditions over the course of one month confirmed the early detection capabilities of the proposed mobile system. For example, the APR was able to detect a gas leak produced inside a closed room from the external corridor due to small leakages under the door induced by the forced ventilation system of the building.

Design and Development of the Stability Test System for Gas Sensor Array Based on ARM

2013 ◽  
Vol 798-799 ◽  
pp. 553-556
Author(s):  
Tao Zhou ◽  
Qing Zhou
Keyword(s):  
Gas Sensor ◽  
Gas Sensors ◽  
Sensor Array ◽  
Low Cost ◽  
Industrial Applications ◽  
Test System ◽  
Stability Test ◽  
Stability Parameters ◽  
Gas Sensor Array ◽  
The Stability

In order to eliminate or minimize the early instability of gas sensors, the aging process is needed. After aging,it is necessary to test stability parameters of gas sensors in a certain batch of the sensors for massive production. In this work, a system for the stability test of gas sensor array has been designed and developed both in hardware and software based ARM. Measurements demonstrate the quality and flexibility of it. It is low cost, excellent cost performance. The stability test system now works well in industrial applications and meets the need of industrial mass-production.

scholarly journals B5.4 - Gas Sensor Array for Low-cost Gas Chromatography in Food Industry Processes

2009 ◽  
Author(s):  
Marie-Luise Bauersfeld ◽  
Carolin Peter ◽  
Juergen Woellenstein ◽  
Mark Buecking ◽  
Joerg Bruckert ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Gas Sensor ◽  
Food Industry ◽  
Sensor Array ◽  
Low Cost ◽  
Gas Sensor Array

In-Situ Analysis of Volatile Organic Compounds in Biogas Fermentation Processes Using a Metal Oxide Gas Sensor Array

2020 ◽  
Vol MA2020-01 (28) ◽  
pp. 2153-2153
Author(s):  
Binayak Ojha ◽  
Divyashree Narayana ◽  
Margarita Aleksandrova ◽  
Heinz Kohler ◽  
Matthias Schwotzer ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Metal Oxide ◽  
Gas Sensor ◽  
Organic Compounds ◽  
Sensor Array ◽  
Fermentation Processes ◽  
Gas Sensor Array ◽  
Volatile Organic ◽  
Metal Oxide Gas Sensor

A Method of Feature Extraction on Recovery Curves for Fast Recognition Application With Metal Oxide Gas Sensor Array

2009 ◽  
Vol 9 (12) ◽  
pp. 1705-1710 ◽  
Author(s):  
Shunping Zhang ◽  
Xianping Xia ◽  
Changsheng Xie ◽  
Shuizhou Cai ◽  
Huayao Li ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Metal Oxide ◽  
Gas Sensor ◽  
Sensor Array ◽  
Recovery Curves ◽  
Gas Sensor Array ◽  
Fast Recognition ◽  
Metal Oxide Gas Sensor

scholarly journals Cocaine by-product detection with metal oxide semiconductor sensor arrays

RSC Advances ◽  
2020 ◽  
Vol 10 (47) ◽  
pp. 28464-28477
Author(s):  
Paula Tarttelin Hernández ◽  
Stephen M. V. Hailes ◽  
Ivan P. Parkin
Keyword(s):  
Metal Oxide ◽  
Gas Sensors ◽  
Sensor Array ◽  
Sensor Arrays ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Semiconductor Sensor ◽  
Gas Sensor Array ◽  
Semiconductor Gas Sensors ◽  
Metal Oxide Semiconductor Sensor

Metal oxide semiconductor gas sensors based on SnO2 and Cr2O3 were modified with zeolites H-ZSM-5, Na-A and H–Y to create a gas sensor array to detect cocaine by-product, methyl benzoate. SVMs were later used with a 4 sensor array to classify 9 gases of interest.

Printable polythiophene gas sensor array for low-cost electronic noses

2006 ◽  
Vol 100 (1) ◽  
pp. 014506 ◽  
Author(s):  
Josephine B. Chang ◽  
Vincent Liu ◽  
Vivek Subramanian ◽  
Kevin Sivula ◽  
Christine Luscombe ◽  
...  
Keyword(s):  
Gas Sensor ◽  
Sensor Array ◽  
Low Cost ◽  
Electronic Noses ◽  
Gas Sensor Array

Employment of Electric Potential to Build a Gas-Selective Response of Metal Oxide Gas Sensor Array

2010 ◽  
Vol 10 (4) ◽  
pp. 849-855 ◽  
Author(s):  
Ilia Kiselev ◽  
Martin Sommer ◽  
Jaswinder Kaur Mann ◽  
Victor V. Sysoev
Keyword(s):  
Metal Oxide ◽  
Gas Sensor ◽  
Electric Potential ◽  
Sensor Array ◽  
Gas Sensor Array ◽  
Metal Oxide Gas Sensor

Development of Electronic Nose with Low-Cost Dynamic Headspace for Classifying Vegetable Oils and Animal Fats

2015 ◽  
Vol 771 ◽  
pp. 50-54 ◽  
Author(s):  
Kuwat Triyana ◽  
M. Taukhid Subekti ◽  
Prasetyo Aji ◽  
Shidiq Nur Hidayat ◽  
Abdul Rohman
Keyword(s):  
Gas Sensor ◽  
Vegetable Oils ◽  
Electronic Nose ◽  
Sensor Array ◽  
Low Cost ◽  
Measurement Data ◽  
Dynamic Headspace ◽  
Data Set ◽  
Animal Fats ◽  
Gas Sensor Array

A portable electronic nose (e-nose) using low-cost dynamic headspace and commercially metal oxide gas sensors has been developed. This paper reports evaluation on the performance of the e-nose to classify vegetable oils (sunflower and grape seed oils) and animal fats (mutton, chicken and pig fats). The e-nose consists of a dynamic headspace sampling, a gas sensor array and a real-time data acquisition system based on ATMega-16 microcontroller. The dynamic headspace can divided into two chambers, i.e. sample and gas sensor array room. It is also equipped with three small fans for adjusting sensing and purging processes. Principal component analysis (PCA) was used for measurement data analysis after all features being extracted. The first two principal components were kept because they accounted for 91.1% of the variance in the data set (first and second principals accounted for 72.9, 18.2% of the variance, respectively). This results show that the e-nose can distinguish vegetable oils and animal fats. This work demonstrates for the future that the e-nose with low-cost dynamic headspace technique may be applied to the identification of oils and fats in halal authentication.

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