The Electronic Nose Training Automation Development (original) (raw)
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Design of a Portable E-Nose Instrument for Gas Classifications
IEEE Transactions on Instrumentation and Measurement, 2009
In this paper, a portable instrument is developed for a qualitative discrimination among different gas samples. The system is able to implement various gas measurement protocols entered by a user, display incoming online samples during an observation, and display classified gas sets from several observations. The system comprises the following: 1) an input unit, which is a quartz sensor array in a cell with microcontroller circuitry for sampling and data transfer; 2) a computational unit, which is a dedicated computer administrated with specially coded software; and 3) an output unit, which consists of relays for controlling gas valves and a liquid crystal display (LCD) for data presentation. The sampling circuitry is programmed using a low-level language, and the computer is programmed using a high-level programming language. The operating system is specifically configured to obtain a dedicated system. The distributed components of the system (the sampler, the display, and the application processes) are automatically started when the system is turned on. The system can easily be moved to a site where a gas observation is required. The system is extensively tested in a laboratory environment for the qualitative and quantitative properties of three industrial gases: acetone, chloroform, and methanol. Reasonably good results are obtained during both tests, e.g., the system successfully classified different species in qualitative tests and different concentration amounts in quantitative tests.
E-nose Development for Safety Monitoring Applications in Refinery Environment
Procedia Engineering, 2012
The E-nose system reported is designed to address the problem of early and distributed detection of dangerous gas mixtures. It is made of a selection of Commercial Off-The-Shelf (COTS) sensors, facing a small volume chamber, whose signals are conditioned and sampled by a multifunction board connected to a personal computer. A program, implementing efficient Support Vector Machine and least square model algorithms, executes the gas classification, the concentration estimation and warns about set risk thresholds overcoming. The system training was performed in laboratory, over a wide range of concentrations in air of: methane, hexane, pentane, and hydrogen sulfide. Other boundary conditions, such as oxygen concentration, temperature and RH are also taken into account. The overall cost of the system can be made very low, adopting an embedded architecture approach, allowing to overcome the limitations of the monitoring systems deployment inside refinery plants due to the high costs of traditional GC systems.
A toolbox of virtual instruments for laboratory electronic nose applications
2002 IEEE International Symposium on Virtual and Intelligent Measurement Systems (IEEE Cat. No.02EX545), 2002
Electronic noses are complex systems built around an array of chemical sensors and designed to mimic the human olfactory system in a wide area of applications. Such systems , and in particular those designed for research applications, utilize a large number of sub-systems for chemical sampling control, for signal generation and acquisition, and for data manipulation. The activity of each sub-system must be strictly synchronized with the activity of the other systems, and a repetitive set-up is often required. This paper describes a toolbox of virtual instruments developed for research purposes and based on a laboratory electronic nose including commercial instrumentation and custom electronics. The toolbox consists of several virtual instruments, allowing the implementution of the different measurement techniques that are commonly used in this research field. What follows describes an integrated system that automatically controls the composition of the mixture under analysis, provides set-up for both the instrumentation and the custom electronics, and performs the selected class of algorithms for feature extraction, datu dimensionality reduction and classification. Assigning repetitive tasks to virtual instruments controlling the entire system gives the possibility to avoid the presence of errors due to the human control. Moreover, thanks to this approach it is possible to hide, at the user level, the data flow between measurement system and data analysis algorithms, giving the possibility to focus the attention only on the results of the analysis and on the optimizution of the analysis method.
Study Analysis Simulation & Implementation of E-nose Technology Ms
2015
Electronics nose is an instrument which comprises an array of electronic chemical sensor with partial electrivity and an appropriate pattern recognition system, capable of recognizing simple and complex odors. In the sensor array, each sensor has its own kind of response. Certain organic compounds like butane, propane, carbon monoxide, methane are presented in house hold products which cause death to human life. Too monitor and measure these VOC's in human system gas sensor can be used .The aim of this paper is to identify the suitable pattern classification method to detect the toxic VOCs in E-NOSE Technology using appropriate hardware.
Conception and Simulation of an Electronic Nose Prototype for Olfactory Acquisition
Advances in Science, Technology and Engineering Systems Journal
The "Electronic Nose" approach, which is exclusive to gas measurement systems, uses gas sensors as odor detectors. Design faults exist in the existing electronic nose (e-nose) chamber, such as its large volume, difficult construction, etc. In order to obtain measurements in a satisfactory state, we want to create a gas chamber that can provide favorable conditions for the sensor array, taking into account the ideal gas flow morphology and detector placement. To describe and identify the design capable of offering the best performance for a genuine idea, the e-nose chamber was created using ParaVIEW simulation and FreeCAD conception. According to the results, the spherical sensing container with connections from both pipes in a tangential arc style gives the highest performance in terms of turbulence reduction, in that case, we are printing this chamber and put it in a gas flow prototype to see the performance of the quality measurement of the sensors inside it, and the result shows that these sensors have good acquisition responses by testing the homogeneity distribution inside the chamber.
Ammonia gas in high concentrations has the potential dangers of the industrial activities that utilize chemicals during operation, then to monitor the level of vulnerability of ammonia gas concentration levels required by a gas concentration detection system that operate remotely around the area. The advantages of this system is to provide information on levels of air pollution from ammonia gas and also as a tool for early warning of the emergence of toxic gases in the area . The prototype of electronic nose is an electronic system that uses TGS 826 sensor for the detection of ammonia gas levels accurately. Observed data will be sent to the microcontroller as an electronic control to further provide early warning of impending status ammonia gas leak. The prototype consists of an electronic nose sensors TGS 826, Microcontroller ATMEGA 8535 AVR, LCD display and buzzer as the alarm in case an ammonia gas leak above the desired threshold. Test results show the performance of the electronic nose gives a good output as the result of calibration gas sensor TGS 826 that looks great levels of ammonia gas (ppm) is proportional to the output voltage (V out ). The greater levels of ammonia gas detected by the sensor so that the output voltage will be greater. In this prototype , there are three conditions to detect the presence of the state in the levels of ammonia gas in the air, which are STANDBY, ALERT, and BEWARE. That three conditions has three different threshold. Lower threshold values for each of these conditions include STANDBY is 100ppm, ALERT is 150ppm, and BEWARE is 200 ppm.
IEEE Sensors Journal, 2002
This paper describes a portable electronic nose based on embedded PC technology. The instrument combines a small footprint with the versatility offered by embedded technology in terms of software development and digital communications services. A summary of the proposed hardware and software solutions is provided with an emphasis on data processing. Data evaluation procedures available in the instrument include automatic feature selection by means of SFFS, feature extraction with linear discriminant analysis (LDA) and principal component analysis (PCA), multi-component analysis with partial least squares (PLS) and classification through -NN and Gaussian mixture models. In terms of instrumentation, the instrument makes use of temperature modulation to improve the selectivity of commercial metal oxide gas sensors. Field applications of the instrument, including experimental results, are also presented.