Relevant bibliographies by topics / Wireless gas sensor

Academic literature on the topic 'Wireless gas sensor'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Wireless gas sensor"

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Qin, Song, Bao Cai Zhang, Dong Wei, Lu Qu, and Nan Wan Qiu. "Research and Development of Thin Film Gas Sensor and its GPRS Wireless Sensor Based on Internet of Things." Advanced Materials Research 301-303 (July 2011): 503–8. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.503.

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Wireless sensor network is a new area of ​​research in the computer science and technology. In response to the demand for a variety of network sensors, this paper describes thin film gas sensors and wireless sensor development, puts forword the manu facturing technology of producing thin film gas sensor with reactive powder doped sputtering method, discusses properties related to gas sensing.and power consumption. And introduces how thin film gas sensor chip and its related GPRS wireless sensor in order to lay the foundation for their application in Internet of Things.
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Hong, Mei. "Key Technology of Electronic Nose Gas Recognizer Based on Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 10 (October 26, 2018): 68. http://dx.doi.org/10.3991/ijoe.v14i10.9304.

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<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Electronic nose gas recognizer is a kind of instrument simulating biological olfactory function for gas detection, which is widely applied in underground construction, aerospace, medical treatment and other fields. The sensing mechanism of the wireless sensor is complex. The wireless sensor array can realize the cross-response of the mixed gas, as well as data acquisition, processing and transmission by wireless transmission. This study applies the wireless sensor array to the electronic nose gas recognition technology, and conducts detection and recognition of three kinds of volatile gas, as well as analyzes the transient response of four wireless sensors and the transient response of wireless sensor array. It is found that the transient response curves are related to the characteristics and sample properties of wireless sensors, but not directly related to sample components. The whole transient response process includes four processes, namely steady state, rising process, maximum response and falling process. The response curve change of wireless sensor array to engine oil volatile gas is similar to that of diesel oil, but the conductance value is smaller than that of diesel oil gas response curve.</span>
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Guo, Tao, Tianhao Zhou, Qiulin Tan, Qianqian Guo, Fengxiang Lu, and Jijun Xiong. "A Room-Temperature CNT/Fe3O4 Based Passive Wireless Gas Sensor." Sensors 18, no. 10 (October 19, 2018): 3542. http://dx.doi.org/10.3390/s18103542.

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A carbon nanotube/Fe3O4 thin film-based wireless passive gas sensor with better performance is proposed. The sensitive test mechanism of LC (Inductance and capacitance resonant) wireless sensors is analyzed and the reason for choosing Fe3O4 as a gas sensing material is explained. The design and fabrication process of the sensor and the testing method are introduced. Experimental results reveal that the proposed carbon nanotube (CNT)/Fe3O4 based sensor performs well on sensing ammonia (NH3) at room temperature. The sensor exhibits not only an excellent response, good selectivity, and fast response and recovery times at room temperature, but is also characterized by good repeatability and low cost. The results for the wireless gas sensor’s performance for different NH3 gas concentrations are presented. The developed device is promising for the establishment of wireless gas sensors in harsh environments.
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Pan, Yong, Qin Molin, Tengxiao Guo, Lin Zhang, Bingqing Cao, Junchao Yang, Wen Wang, and Xufeng Xue. "Wireless passive surface acoustic wave (SAW) technology in gas sensing." Sensor Review 41, no. 2 (March 22, 2021): 135–43. http://dx.doi.org/10.1108/sr-03-2020-0061.

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Purpose This paper aims to give an overview about the state of wireless passive surface acoustic wave (SAW) gas sensor used in the detection of chemical vapor. It also discusses a variety of different architectures including delay line and array sensor for gas detection, and it is considered that this technology has a good application prospect. Design/methodology/approach The authors state the most of the wireless passive SAW methods used in gas sensing, such as CO2, CO, CH4, C2H4, NH3, NO2, et al., the sensor principles, design procedures and technological issues are discussed in detail; their advantages and disadvantages are also summarized. In conclusion, it gives a prospect of wireless passive SAW sensor applications and proposes the future research field might lie in the studying of many kinds of harmful gases. Findings In this paper, the authors will try to cover most of the important methods used in gas sensing and their recent developments. Although wireless passive SAW sensors have been used successfully in harsh environments for the monitoring of temperature or pressure, the using in chemical gases are seldom reported. This review paper gives a survey of the present state of wireless passive SAW sensor in gas detection and suggests new and exciting perspectives of wireless passive SAW gas sensor technology. Research limitations/implications The authors will review most of the methods used in wireless passive SAW sensor and discuss the current research status and development trend; the potential application in future is also forecasted. Originality/value The authors will review most of the methods used in wireless passive SAW sensor and discuss the current research status and development trend; the potential application in future is also forecasted.
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Tan, Qiulin, Mingliang Yang, Tao Luo, Wei Liu, Chao Li, Chenyang Xue, Jun Liu, Wendong Zhang, and Jijun Xiong. "A Novel Interdigital Capacitor Pressure Sensor Based on LTCC Technology." Journal of Sensors 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/431503.

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A novel passive wireless pressure sensor is proposed based on LTCC (low temperature cofired ceramic) technology. The sensor employs a passive LC circuit, which is composed of a variable interdigital capacitor and a constant inductor. The inductor and capacitor were fabricated by screen-printing. Pressure measurement is tested using a wireless mutual inductance coupling method. The experimental sensitivity of the sensor is about 273.95 kHz/bar below 2 bar. Experimental results show that the sensor can be read out wirelessly by external antenna at 600°C. The max readout distance is 3 cm at room temperature. The sensors described can be applied for monitoring of gas pressure in harsh environments, such as environment with high temperature and chemical corrosion.
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Sharma, Rajat, and Jishaan Sayyed. "A Detail Analysis of IoT Gas Detection System for Wireless Sensor Networks." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 624–28. http://dx.doi.org/10.22214/ijraset.2022.41261.

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Abstract: The Internet of Things (IoT) is basically a network that connects computing devices. IoT is capable of sending massive amounts of data via a network without the need for human intervention. Cloud services are used to manage this real-time data, which is backed up by strong computing software and hardware. This information is gathered through a variety of sensors placed around the user's environment. IoT is the future of computation, and it will have a significant impact on our daily life. In this research, we offer a wireless sensor network driven by the Internet of Things for gas detection. Using many sensors connected by IoT, these detectors can detect burnable, flammable, and toxic gases, as well as oxygen usage. This method is extremely adaptable when it comes to wirelessly accessing remote devices all across the world. Less power consumption and computational cost are advantages of this technology. Furthermore, it aids in the construction of open and compact stack sizes. Keywords: Wireless, Sensor, Communication, Network, IOT.
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Song, Zhilong, and Zhiyong Fan. "Wireless Self-Powered High-Performance Integrated Nanostructured-Gas-Sensor Network for Future Smart Homes." ECS Meeting Abstracts MA2022-02, no. 36 (October 9, 2022): 1322. http://dx.doi.org/10.1149/ma2022-02361322mtgabs.

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The accelerated evolution of communication platforms including Internet of Things (IoT) and the 5th generation (5G) wireless communication network makes it possible to build intelligent gas sensor networks to monitor the chemical safety of our surroundings and personal health in real time. However, this application scenario requires a very challenging combination of characteristics of gas sensors including small formfactor, low-cost, ultra-low power consumption, superior sensitivity, and high intelligence. Herein, we demonstrate self-powered integrated nanostructured-gas-sensor (SINGOR) systems and a wirelessly connected SINGOR network for the first time. The SINGOR features ultra-high sensitivity to H2, formaldehyde, toluene, and acetone with the record low limits of detection (LOD) of 10 ppb, 2 ppb, 1 ppb and 1 ppb, respectively, obtained under room temperature sensor operation. Therefore, ultra-low power consumption of 68.6 μW at sensor level and 1.71 mW at the system level has been achieved. As the result, an individual SINGOR system can be self-driven by indoor light with a Si solar cell. Furthermore, each SINGOR consists of an array of nanostructured sensors powered by machine learning algorithm and thus a SINGOR has the capability of gas pattern recognition and classification. And multiple SINGOR systems are wirelessly connected together to form a sensor network for smart home application demonstrations. Intriguingly, the sensor network has successfully demonstrated flammable gas leakage detection and alarm function when they are deployed in multiple rooms. And when the SINGOR network is deployed in one single room, it can achieve gas leakage localization with satisfactory precision. These successes open up the possibility of using nanostructured-gas-sensor network for wide range applications including smart home, smart building and future smart city.
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Feng, Lin, Jian Wang, Ye Chen, and Chao Ding. "Detection and Early Warning of Toxic Gases Based on Semiconductor Wireless Sensors." Journal of Sensors 2021 (November 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/6988676.

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This paper studies a semiconductor wireless sensor system, which is composed of a semiconductor wireless sensor sampling circuit, gas-sensitive signal alarm and wireless transmitting circuit, and wireless radio frequency signal receiving circuit. The system is suitable for wireless monitoring of hydrogen fluoride gas in chemical plants. The hydrogen fluoride gas sensor is designed, integrated, and classified according to the polarity and size of the sensor output signal. The signal processing circuit of the sensor output signal is made with an integrated design. This paper developed a simulation experimental system for the wireless monitoring network characteristics of toxic hydrogen fluoride gas and completed the monitoring system’s sensor characteristic calibration and accuracy comparison simulation experiment, the communication distance test experiment of the communication system, and the research experiment on the influence of environmental humidity on the sensor characteristics of the monitoring system. In terms of software, the workflow of network nodes has been optimized. Since the structure of the wireless sensor network is not exactly the same in different application fields, the toxic gas monitoring system based on wireless sensor networks must focus on extending the network’s life cycle. Without affecting the normal operation of the system, distributed compressed sensing can greatly extend the service life of the system. Therefore, this subject combines the compressed sensing technology developed in recent years with the air monitoring system for the processing of transmission data, in order to achieve the purpose of further reducing the energy consumption of the system. The simulation experiment demonstrated that the lmF neural network combined with gas sensor array technology can realize qualitative identification, quantitative analysis of single gas, and quantitative analysis of mixed combustible gas. The research work in this area also provides a new way to further combine the miniature hydrogen fluoride gas sensor unit with sensor technology, integrate the hydrogen fluoride gas sensor unit and the electronic tag, and expand the wireless application of the gas sensor.
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Mao, Zhenghao, Jianchao Wang, Youjin Gong, Heng Yang, and Shunping Zhang. "A Set of Platforms with Combinatorial and High-Throughput Technique for Gas Sensing, from Material to Device and to System." Micromachines 9, no. 11 (November 19, 2018): 606. http://dx.doi.org/10.3390/mi9110606.

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In a new E-nose development, the sensor array needs to be optimized to have enough sensitivity and selectivity for gas/odor classification in the application. The development process includes the preparation of gas sensitive materials, gas sensor fabrication, array optimization, sensor array package and E-nose system integration, which would take a long time to complete. A set of platforms including a gas sensing film parallel synthesis platform, high-throughput gas sensing unmanned testing platform and a handheld wireless E-nose system were presented in this paper to improve the efficiency of a new E-nose development. Inkjet printing was used to parallel synthesize sensor libraries (400 sensors can be prepared each time). For gas sensor selection and array optimization, a high-throughput unmanned testing platform was designed and fabricated for gas sensing measurements of more than 1000 materials synchronously. The structures of a handheld wireless E-nose system with low power were presented in detail. Using the proposed hardware platforms, a new E-nose development might only take one week.
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Su, Kuo Lan, Sheng Wen Shiau, Yi Lin Liao, and J. H. Guo. "Bayesian Estimation Algorithm Applying in Gas Detection Modules." Applied Mechanics and Materials 284-287 (January 2013): 1764–69. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1764.

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The paper develops gas detection modules for the intelligent building. The modules use many gas sensors to detect environment of the home and building. The gas sensors of the detection modules are classified two types. One is competitiveness gas detection module, and uses the same sensors to detect gas leakage. The other is complementation gas detection module, and uses variety sensors to classify multiple gases. The paper uses Bayesian estimation algorithm to be applied in competitiveness gas detection module and complementation gas detection module, and implement the proposed algorithm to be nice for variety gas sensor combination method. In the competitiveness gas detection module, we use two gas sensors to improve the proposed algorithm to be right. In the complementation gas detection module, we use a NH3 sensor, an air pollution sensor, an alcohol sensor, a HS sensor, a smoke sensor, a CO sensor, a LPG sensor and a nature gas sensor, and can classify variety gases using Bayesian estimation algorithm. The controller of the two gas detection modules is HOLTEK microchip. The modules can communicate with the supervised computer via wire series interface or wireless RF interface, and cautions the user by the voice module. Finally, we present some experimental results to measure know and unknown gas using the two gas detection modules on the security system of the intelligent building.
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Dissertations / Theses on the topic "Wireless gas sensor"

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Smith, Clinton James. "High-accuracy laser spectrometers for wireless trace-gas sensor networks." Thesis, Princeton University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3604506.

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The subject of this dissertation is the development of a wireless sensor network composed of instruments which employ both VCSELs and QCLs for accurate, highly sensitive, and reliable long-term monitoring of environmental trace-gases. The dissertation focuses on the development of low-power instruments and calibration methods that ensure the reliability of long-term measurements.

First the field deployment of a low-power, portable, wireless laser spectroscopic sensor node for atmospheric CO2 monitoring is demonstrated. The sensor node shows 0.14 ppmv Hz-1/2 1σ measurement sensitivity of CO2 concentration changes. It was first used to measure top-soil respiration rates in the laboratory and on forest floors in the field.

Then after a long-term field deployment to further assess instrument performance, new design solutions were implemented to improve fringe-limited precision of the nodes to 4-7 ppmv against a 400 ppmv CO2 background, making their performance comparable to higher power consuming commercial trace-gas analyzers. Three optimized nodes were then deployed into mixed landscapes as part of a solar powered CO2 monitoring wireless network. The three node network monitored CO2 in a grassy/woody courtyard, on top of the roof of an engineering building, and next to a road in the Princeton area. These works show that ultra-low powered VCSEL based sensor nodes can be placed in off-the-grid environments for autonomous distributed geographic monitoring of trace-gases in a manner which is impossible with current commercial techniques.

Next, this dissertation covers two techniques that were developed for the real-time calibration of laser-based trace-gas measurements. The first technique used an in-line reference gas cell and employed wavelength modulation spectroscopy (WMS) at higher harmonics to simultaneously probe the sample and reference spectra. The second technique used a revolving in-line reference cell to suppress background and other non-spectroscopic signals. These techniques were designed for eventual inclusion as a real-time calibration source for field deployable trace-gas sensors and wireless sensor networks.

Finally, this dissertation demonstrates the use of the CW injection current into a VCSEL in an external cavity configuration to tune the cavity emission's self-oscillation frequency and show through simulation and experiment that the tuning is dependent on VCSEL birefringence change.

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Kihlberg, David, and Amir Ebrahimi. "Wireless Gas Sensor Nodes : With focus on Long Range (LoRa) communication." Thesis, Linköpings universitet, Elektroniska Kretsar och System, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168669.

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Greenhouse gas emissions in indoor or outdoor areas are dangerous and can have short- or long-term effects on people’s health. There are several methods to monitor the air quality in such environments. This thesis project attempts to design and evaluate a wireless sensor network with two main characteristics such as long range and low power consumption. The sensor network is built upon Long Range Wide Area Network (LoRaWAN) protocol and is composed of sensor nodes and gateways. The sensor nodes are built upon a Raspberry Pi model 3B, a LoRa SX1276 transceiver and gas sensors. The sensors are intended to measure CO2, CH4, temperature, pressure and relative humidity. The collected data is then logged and sent to The Things Network (TTN) via a backhaul connection.
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Cobb, Derrick Ian. "Transimpedance-Based and Low-Power Bias Wireless PPB Hydrogen Gas Sensor." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1386074227.

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Abhijith, N. "Semi Conducting Metal Oxide Gas Sensors: Development And Related Instrumentation." Thesis, Indian Institute of Science, 2006. http://hdl.handle.net/2005/281.

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A sensor is a technological device or biological organ that detects, or senses, a signal or physical condition and chemical compounds. Technological developments in the recent decades have brought along with it several environmental problems and human safety issues to the fore. In today's world, therefore, sensors, which detect toxic and inflammable chemicals quickly, are necessary. Gas sensors which form a subclass of chemical sensors have found extensive applications in process control industries and environmental monitoring. The present thesis reports the attempt made in development of Zinc oxide thin film based gas sensors. ZnO is sensitive to many gases of interest like hydrocarbons, hydrogen, volatile organic compounds etc. They exhibit high sensitivity, satisfactory stability and rapid response. In the present work the developed sensors have been tested for their sensitivity for a typical volatile organic compound, acetone. An objective analysis of the various substrates namely borosilicate glass, sintered alumina and hard anodized alumina, has been performed as a part of this work. The substrates were evaluated for their electrical insulation and thermal diffusivity. The microstructure of the gas sensitive film on the above mentioned substrates was studied by SEM technique. The gas sensitive Zinc oxide film is deposited by D.C reactive magnetron sputtering technique with substrate bias arrangement. The characterization of the as-deposited film was performed by XRD, SEM and EDAX techniques to determine the variation of microstructure, crystallite size, orientation and chemical composition with substrate bias voltage. The thesis also describes the development of the gas sensor test setup, which has been used to measure the sensing characteristics of the sensor. It was observed that the ZnO sensors developed with higher bias voltages exhibited improved sensitivity to test gas of interest. Gas sensors essentially measure the concentration of gas in its vicinity. In order to determine the distribution of gas concentration in a region, it is necessary to network sensors at remote locations to a host. The host acts as a gateway to the end user to determine the distribution of gas concentration in a region. However, wireless gas sensor networks have not found widespread use because of two inherent limitations: Metal oxide gas sensors suffer from output drift over time; frequent recalibration of a number of sensors is a laborious task. The gas sensors have to be maintained at a high temperature to perform the task of gas sensing. This is power intensive operation and is not well suited for wireless sensor network. This thesis reports an exploratory study carried out on the applicability of gas sensors in wireless gas sensor network. A simple prototype sensing node has been developed using discrete electronic components. A methodology to overcome the problem of frequent calibration of the sensing nodes, to tackle the sensor drift with ageing, is presented. Finally, a preliminary attempt to develop a strategy for using gas sensor network to localize the point of gas leak is given.
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Borkar, Chirag. "Development of Wireless Sensor Network System for Indoor Air Quality Monitoring." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc177181/.

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This thesis describes development of low cost indoor air quality (IAQ) monitoring system for research. It describes data collection of various parameters concentration present in indoor air and sends data back to host PC for further processing. Thesis gives detailed information about hardware and software implementation of IAQ monitoring system. Also discussed are building wireless ZigBee network, creating user friendly graphical user interface (GUI) and analysis of obtained results in comparison with professional benchmark system to check system reliability. Throughputs obtained are efficient enough to use system as a reliable IAQ monitor.
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Lama, Audrey. "Interactive Wireless Sensor for Remote Trace Detection and Recognition of Hazardous Gases." TopSCHOLAR®, 2013. http://digitalcommons.wku.edu/theses/1308.

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The interactive wireless sensor detects many hazardous gases such as Hexane, Propane, Carbon monoxide and Hydrogen. These gases are highly toxic and used in different kinds of manufacturing industries, domestic purpose and so on. So, building a sensor that can detect this kind of gases can save the environment; prevent the potential for explosion, and endangering human life. In long term, interactive wireless sensor can also prevent the financial losses that might occur due to the hazardous incident that might occur due to these toxic gases. Hexane is a colorless, strong gas which inhaled in significant amounts by a person then he may suffer with hexane poisoning and suffocation. It also causes skin burns when exposed in high concentrations. Propane, carbon monoxide and hydrogen can easily freeze in room temperature, if in contact with eye, it could permanently damage eye or cause blindness. The advantage of this wireless sensor is the use of artificial olfactory system (electronic nose) that can be taught to detect these hazardous gases. This sensor has a unique molecular combination of analysts, impurities and background that corresponds to a gas leak. It consists of a chemiresistor, such as an array of conductometric sensors, and a mechanism analyzing the data in real time. A smell-print is composed of many molecules which reaches receptor in the human nose. When a specific receptor receives a molecule, it sends a signal to the brain where the smell is identified and associated with that particular molecule. Similar manner, albeit substituting sensors for the receptors, and transmitting the signal to a machine learning algorithm for processing, rather than to the brain. This wireless gas leak sensing consists of microchip Pic 32, integrated electronic nose, automated data analysis unit, power supply, and communications. The communication channel will use the ZigBee link, or the cellular links, or other specific frequency wireless link. The time-stamped and position-stamped sensor measurement data are transmitted to the central computer in predetermined periods of time. The data will be stored in the computer database for possible future analysis of the gas leak development process.
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Al-Hawashem, Kamal. "Highly reliable and delay bound wireless sensor network protocol for oil and gas plants." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28218.

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Communication networks for oil and gas plants predominantly employ wired communication infrastructure. The wired communication infrastructure is used to carry control and monitoring data used for plant process control and automation. Data carried on plants networks are of critical nature and thus require strict Quality of Services (QoS) treatment. The existing wired communication protocols provide required reliability and delay bound performance. However, wired communication infrastructure imposes high cost and lack flexibility. The advancements in Wireless Sensor Networks (WSN) make it an attractive alternative for wire based plant networks because of WSN low cost and flexibility. However, WSN suffers from error prone wireless medium, limited resources and lack of central control which make it challenging to meet plant networks QoS strict requirements. In this thesis, we propose a novel WSN architecture protocol called HARD for oil and gas plant networks which meet the strict QoS requirements. We have formulated the design guidelines for plant network WSN topology to meet the given QoS requirements. The maximum delay bound and the reliability performance have been formulated. Simulation results confirmed the analysis of the HARD protocol delay bound of 40ms and showed reliability performance of near 100% for experiments with failure probability of 60% and below.
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Fisher, Brian. "Surface Acoustic Wave (SAW) Cryogenic Liquid and Hydrogen Gas Sensors." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5208.

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This research was born from NASA Kennedy Space Center's (KSC) need for passive, wireless and individually distinguishable cryogenic liquid and H2 gas sensors in various facilities. The risks of catastrophic accidents, associated with the storage and use of cryogenic fluids may be minimized by constant monitoring. Accidents involving the release of H2 gas or LH2 were responsible for 81% of total accidents in the aerospace industry. These problems may be mitigated by the implementation of a passive (or low-power), wireless, gas detection system, which continuously monitors multiple nodes and reports temperature and H2 gas presence. Passive, wireless, cryogenic liquid level and hydrogen (H2) gas sensors were developed on a platform technology called Orthogonal Frequency Coded (OFC) surface acoustic wave (SAW) radio frequency identification (RFID) tag sensors. The OFC-SAW was shown to be mechanically resistant to failure due to thermal shock from repeated cycles between room to liquid nitrogen temperature. This suggests that these tags are ideal for integration into cryogenic Dewar environments for the purposes of cryogenic liquid level detection. Three OFC-SAW H2 gas sensors were simultaneously wirelessly interrogated while being exposed to various flow rates of H2 gas. Rapid H2 detection was achieved for flow rates as low as 1ccm of a 2% H2, 98% N2 mixture. A novel method and theory to extract the electrical and mechanical properties of a semiconducting and high conductivity thin-film using SAW amplitude and velocity dispersion measurements were also developed. The SAW device was shown to be a useful tool in analysis and characterization of ultrathin and thin films and physical phenomena such as gas adsorption and desorption mechanisms.?
Ph.D.
Doctorate
Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering
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Obiora, Obinna Chukwuemeka. "Wireless condition monitoring to reduce maintenance resources in the Escravos–Gas–To–Liquids plant, Nigeria / Obiora, O.C." Thesis, North-West University, 2011. http://hdl.handle.net/10394/7040.

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The purpose of this research is to reduce maintenance resources and improve Escravos–Gas–to–Liquids plant availability (EGTL) in Escravos, Nigeria using wireless condition monitoring. Secondary to the above is to justify the use of this technology over other conventional condition monitoring methods in petrochemical plants with specific reference to cost, reliability and security of the system. Wireless and continuous condition monitoring provides the means to evaluate current conditions of equipment and detect abnormalities. It allows for corrective measures to be taken to prevent upcoming failures. Continuous monitoring and event recording provides information on the energized equipment's response to normal and emergency conditions. Wireless/remote monitoring helps to coordinate equipment specifications and ratings, determine the real limits of the monitored equipment and optimize facility operations. Bentley N, (2005). Using wireless techniques eliminate any need for special cables and wires with lower installation costs if compared to other types of condition monitoring systems. In addition to this, wireless condition monitoring works well under difficult conditions in strategically important locations. The Escravos gas–to–liquid plant in Nigeria, located in a remote and offshore area where accommodation and space for offices is a factor for monitoring plant conditions in every office, is a typical example. Wireless technology for condition monitoring of energized equipment is applicable to both standalone and remote systems. In the research work of Meyer and Brambley (2002), they characterized the current problem with regards to cost effectiveness and availability of wireless condition monitoring. Maintenance of rotating equipment provides probability estimates of the total impact of the problem, cost implication of plant equipment maintenance and describes a generic system in which these developing technologies are used to provide real–time wireless/remote condition monitoring for rotating main air compressor (MAC) units and their components as a case study. Costs with today’s technology are provided and future costs are estimated, showing that benefits will greatly exceed costs in many cases, particularly if low–cost wireless monitoring is used. With management trends such as “re–engineering” and “downsizing” of the available workforce, wireless condition–monitoring of critical machines has been given more importance as a way to ensure quality production with fewer personnel. Wireless condition–monitoring using inexpensive wireless communication technology frees up existing plant maintenance personnel work on machines that are signaling problems and focusing the maintenance efforts away from attempting to work on a large population of machines to only those machines requiring immediate attention. Lloyd and Buddy (200) suggested that Point–to–point wireless data transmission systems, an excellent example of recent technological advances in communication systems, are now practical and cost–effective for industrial use. While both complex infrastructures and complex protocols are required for cellular communications, non– cellular communication systems, such as the point–to–point wireless data transmission system example, require no elaborate infrastructure. Limited research was done on the immediate benefits of implementing wireless condition monitoring systems in plants. All papers on the subject have been drawn up by manufacturers of such equipment. This research will thus also deliver a "third–party" perspective on the effectiveness of such devices, justifying their impact on data gathering security, cost and reliability.
Thesis (M.Ing. (Development and Management Engineering))--North-West University, Potchefstroom Campus, 2012.
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Malaver, Rojas Jairo Alexander. "Development of gas sensing technology for ground and airborne applications powered by solar energy : methodology and experimental results." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/74644/1/74644.pdf.

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Monitoring gases for environmental, industrial and agricultural fields is a demanding task that requires long periods of observation, large quantity of sensors, data management, high temporal and spatial resolution, long term stability, recalibration procedures, computational resources, and energy availability. Wireless Sensor Networks (WSNs) and Unmanned Aerial Vehicles (UAVs) are currently representing the best alternative to monitor large, remote, and difficult access areas, as these technologies have the possibility of carrying specialised gas sensing systems, and offer the possibility of geo-located and time stamp samples. However, these technologies are not fully functional for scientific and commercial applications as their development and availability is limited by a number of factors: the cost of sensors required to cover large areas, their stability over long periods, their power consumption, and the weight of the system to be used on small UAVs. Energy availability is a serious challenge when WSN are deployed in remote areas with difficult access to the grid, while small UAVs are limited by the energy in their reservoir tank or batteries. Another important challenge is the management of data produced by the sensor nodes, requiring large amount of resources to be stored, analysed and displayed after long periods of operation. In response to these challenges, this research proposes the following solutions aiming to improve the availability and development of these technologies for gas sensing monitoring: first, the integration of WSNs and UAVs for environmental gas sensing in order to monitor large volumes at ground and aerial levels with a minimum of sensor nodes for an effective 3D monitoring; second, the use of solar energy as a main power source to allow continuous monitoring; and lastly, the creation of a data management platform to store, analyse and share the information with operators and external users. The principal outcomes of this research are the creation of a gas sensing system suitable for monitoring any kind of gas, which has been installed and tested on CH4 and CO2 in a sensor network (WSN) and on a UAV. The use of the same gas sensing system in a WSN and a UAV reduces significantly the complexity and cost of the application as it allows: a) the standardisation of the signal acquisition and data processing, thereby reducing the required computational resources; b) the standardisation of calibration and operational procedures, reducing systematic errors and complexity; c) the reduction of the weight and energy consumption, leading to an improved power management and weight balance in the case of UAVs; d) the simplification of the sensor node architecture, which is easily replicated in all the nodes. I evaluated two different sensor modules by laboratory, bench, and field tests: a non-dispersive infrared module (NDIR) and a metal-oxide resistive nano-sensor module (MOX nano-sensor). The tests revealed advantages and disadvantages of the two modules when used for static nodes at the ground level and mobile nodes on-board a UAV. Commercial NDIR modules for CO2 have been successfully tested and evaluated in the WSN and on board of the UAV. Their advantage is the precision and stability, but their application is limited to a few gases. The advantages of the MOX nano-sensors are the small size, low weight, low power consumption and their sensitivity to a broad range of gases. However, selectivity is still a concern that needs to be addressed with further studies. An electronic board to interface sensors in a large range of resistivity was successfully designed, created and adapted to operate on ground nodes and on-board UAV. The WSN and UAV created were powered with solar energy in order to facilitate outdoor deployment, data collection and continuous monitoring over large and remote volumes. The gas sensing, solar power, transmission and data management systems of the WSN and UAV were fully evaluated by laboratory, bench and field testing. The methodology created to design, developed, integrate and test these systems was extensively described and experimentally validated. The sampling and transmission capabilities of the WSN and UAV were successfully tested in an emulated mission involving the detection and measurement of CO2 concentrations in a field coming from a contaminant source; the data collected during the mission was transmitted in real time to a central node for data analysis and 3D mapping of the target gas. The major outcome of this research is the accomplishment of the first flight mission, never reported before in the literature, of a solar powered UAV equipped with a CO2 sensing system in conjunction with a network of ground sensor nodes for an effective 3D monitoring of the target gas. A data management platform was created using an external internet server, which manages, stores, and shares the data collected in two web pages, showing statistics and static graph images for internal and external users as requested. The system was bench tested with real data produced by the sensor nodes and the architecture of the platform was widely described and illustrated in order to provide guidance and support on how to replicate the system. In conclusion, the overall results of the project provide guidance on how to create a gas sensing system integrating WSNs and UAVs, how to power the system with solar energy and manage the data produced by the sensor nodes. This system can be used in a wide range of outdoor applications, especially in agriculture, bushfires, mining studies, zoology, and botanical studies opening the way to an ubiquitous low cost environmental monitoring, which may help to decrease our carbon footprint and to improve the health of the planet.
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Books on the topic "Wireless gas sensor"

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Huang, Fan. Wu xian chuan gan qi wang luo ji shu ji ying yong yan jiu: WUXIAN CHUANGANQI WANGLUO JISHU JI YINGYONG YANJIU. Beijing Shi: Zhongguo shui li shui dian chu ban she, 2014.

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Wu xian chuan gan qi wang luo yu ren gong sheng ming. Beijing Shi: Guo fang gong ye chu ban she, 2008.

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Zhi neng wu xian chuan gan qi wang luo xi tong. 2nd ed. Beijing: Ke xue chu ban she, 2013.

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Wu xian chuan gan wang luo de an quan he you hua. Beijing Shi: Dian zi gong ye chu ban she, 2010.

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Wu xian chuan gan wang ji shu ji qi jun shi ying yong. Beijing Shi: Guo fang gong ye chu ban she, 2010.

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Wu xian chuan gan qi wang luo yu yi dong ji qi ren kong zhi. Beijing: Ke xue chu ban she, 2009.

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Wu xian gan ce wang lu (WSN) zhi xin xing shang ji yan jiu: Emerging market opportunities for wireless sensor networks. Taibei Shi: Cai tuan fa ren zi xun gong ye ce jin hui zi xun shi chang qing bao zhong xin (MIC), 2008.

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Wu xian gan ce wang lu (WSN) zhi xin xing shang ji yan jiu: Emerging market opportunities for wireless sensor networks. Taibei Shi: Cai tuan fa ren zi xun gong ye ce jin hui zi xun shi chang qing bao zhong xin (MIC), 2008.

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Wu xian chuan gan qi wang luo Sybil gong ji an quan fang wei ji shu. Beijing: Guo fang gong ye chu ban she, 2013.

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Wu xian chuan gan lu you ji shu. Beijing: Ke xue chu ban she, 2013.

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Book chapters on the topic "Wireless gas sensor"

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Somov, Andrey, Alexander Baranov, Alexey Savkin, Mikhail Ivanov, Lucia Calliari, Roberto Passerone, Evgeny Karpov, and Alexey Suchkov. "Energy-Aware Gas Sensing Using Wireless Sensor Networks." In Lecture Notes in Computer Science, 245–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28169-3_16.

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Cegla, Frederic, and Jon Allin. "Ultrasonic Monitoring of Pipeline Wall Thickness with Autonomous, Wireless Sensor Networks." In Oil and Gas Pipelines, 571–78. Hoboken, New Jersey: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119019213.ch39.

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Mason, A., A. Shaw, and A. I. Al-Shamma’a. "Inventory Management in the Packaged Gas Industry Using Wireless Sensor Networks." In Lecture Notes in Electrical Engineering, 75–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12707-6_4.

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Lee, M. Y., A. S. Azman, S. K. Subramaniam, and F. S. Feroz. "Wireless Sensor Networks in Midstream and Downstream in Oil and Gas Industry." In Lecture Notes in Mechanical Engineering, 466–74. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9539-0_45.

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Somov, Andrey, Mikhail Ivanov, Alexander Baranov, Alexey Savkin, and Sithamparanathan Kandeepan. "Energy Efficient Trade-Off between Communication and Sensing in Wireless Gas Sensor Node." In Mobile Multimedia Communications, 490–500. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35155-6_39.

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Wadhaj, Isam, Craig Thomson, and Baraq Ghaleb. "Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions." In Proceedings of International Conference on Emerging Technologies and Intelligent Systems, 547–63. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85990-9_44.

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Ya-ping, Li, and Zhao Dan. "Signal Collection Method of Wireless Radio Frequency Gas Sensor Array Based on Virtual Instrument." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 41–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67871-5_5.

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Oh, Jeong Seok, Hyo Jung Bng, and Si-Hyung Lim. "The System of Stress Estimation for the Exposed Gas Pipeline Using the Wireless Tilt Sensor." In Lecture Notes in Electrical Engineering, 451–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40675-1_67.

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Ferrari, P., A. Flammini, S. Rinaldi, and A. Vezzoli. "Wireless Sensor Network Based on wM-Bus for Leakage Detection in Gas and Water Pipes." In Lecture Notes in Electrical Engineering, 407–10. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00684-0_78.

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Gancev, Stojanco, and Danco Davcev. "Monitoring Wireless Sensor Network System Based on Classification of Adopted Supervised Growing Neural Gas Algorithm." In Communications in Computer and Information Science, 316–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19325-5_32.

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Conference papers on the topic "Wireless gas sensor"

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Katterbauer, Klemens, and Abdallah Al Shehri. "Smart MIMO-OFDM Wireless Communication Frameworks for Subsurface Wireless Sensor." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210750-ms.

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Abstract Wireless communication in subsurface wells and reservoir has been a major challenge in ensuring robust data transmission, and reliable communication between the sensors. Challenges from the multiple reflection as well as other external factors, makes subsurface communication a unique challenge for modern communication algorithms. While multiple-Input, multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) communication has been extensively implemented in wireless communication for signal processing, unique challenges arise in subsurface reservoirs caused by unknown formation properties and fluid movements. We present a new smart MIMO-OFDM algorithm for wireless communication in subsurface reservoirs. The new algorithm integrates both MIMO and OFDM into a deep learning framework. It optimizes the communication quality as well as reliability of the communication between the various subsurface wireless devices. The joint integration and smart adjustment leverages the power of both algorithms simultaneously, and allows significantly improved communication robustness between the wireless devices. We tested the smart MIMO-OFDM on a synthetic carbonate reservoir formation with multiple wireless sensors and wireless appliances. Fracture Robots (FracBots, about 5 mm in size) technology will be used to sense key reservoir parameters (e.g., temperature, pressure, pH and other chemical parameters). The technology is comprised of a wireless microsensor network for mapping and monitoring fracture channels in conventional and unconventional reservoirs. The system establishes wireless network connectivity via magnetic induction (MI)-based communication, since it exhibits highly reliable and constant channel conditions with sufficiently communication range inside an oil reservoir environment. The results exhibited strong performance of the wireless communication, hence providing reliable and robust subsurface wireless communication. The novel framework presents a vital component in enhancing subsurface wireless communication and achieve robust data transfer. The results outline the opportunity for wireless communication to become a critical component for subsurface communication.
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Sagberg, Håkon, Britta Fismen, Niels Aakvaag, Lars Borgen, Pål Nordbryhn, Knut Sandven, Jon Tschudi, Kari Anne Bakke, and Ib-Rune Johansen. "Wireless infrared gas sensor." In Applied Industrial Optics: Spectroscopy, Imaging and Metrology. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/aio.2012.aw1b.3.

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Mitchell, David, Anand Kulkarni, Alex Lostetter, Marcelo Schupbach, John Fraley, and Rod Waits. "Development and Testing of Harsh Environment, Wireless Sensor Systems for Industrial Gas Turbines." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-60316.

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The potential for savings provided to worldwide operators of industrial gas turbines, by transitioning from the current standard of interval-based maintenance to condition-based maintenance may be in the hundreds of millions of dollars. In addition, the operational flexibility that may be obtained by knowing the historical and current condition of life-limiting components will enable more efficient use of industrial gas turbine resources, with less risk of unplanned outages as a result of off-parameter operations. To date, it has been impossible to apply true condition-based maintenance to industrial gas turbines because the extremely harsh operating conditions in the heart of a gas turbine preclude using the necessary advanced sensor systems to monitor the machine’s condition continuously. Siemens, Rove Technical Services, and Arkansas Power Electronics International are working together to develop a potentially industry-changing technology to build smart, self-aware engine components that incorporate embedded, harsh-environment-capable sensors and high temperature capable wireless telemetry systems for continuously monitoring component condition in the hot gas path turbine sections. The approach involves embedding sensors on complex shapes, such as turbine blades, embedding wireless telemetry systems in regions with temperatures that preclude the use of conventional silicon-based electronics, and successfully transmitting the sensor information from an environment very hostile to wireless signals. The results presented will include those from advanced, harsh environment sensor and wireless telemetry component development activities. In addition, results from laboratory and high temperature rig and spin testing will be discussed.
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Bekkaoui, O., I. Kerroum, F. Domingue, and A. O. Dahmane. "Wireless passive hydrogen gas sensor." In 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2012. http://dx.doi.org/10.1109/ccece.2012.6334925.

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Ovabor, K. O., and S. T. Apeh. "Real-Time Nitrogen Dioxide Pollutant Monitoring In Lagos State, Nigeria Using Wireless Sensor Networks." In 28th iSTEAMS Multidisciplinary Research Conference AIUWA The Gambia. Society for Multidisciplinary and Advanced Research Techniques - Creative Research Publishers, 2021. http://dx.doi.org/10.22624/aims/isteams-2021/v28p7.

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Wireless Sensor Networks (WSNs) find its application in various facets of life. Atmospheric contamination in the various elements of air leading to hazardous effects of global warming and acid rains can affect the well-being of a population. An air pollution monitoring system is therefore important to keep away from such adverse imbalance in nature. In the proposed paper, an attempt is made to develop a real time pollution monitoring using wireless sensor networks (WSN). This WSN will monitor the profile concentration of nitrogen dioxide (NO2) in a chosen location. With the rapid growth in the industries, which are the main sources of air pollutants, the problem of air pollution is becoming a serious concern for the health of the population. The concentration of one major air pollutant gases Nitrogen dioxide (NO2) from the air is sensed by the gas sensors. The sensor is properly calibrated as per the standard methods and the gas sensor is then incorporated with the wireless sensor motes using hierarchical cluster-based architecture.The node is expected to sense pollutants, convert, and process the magnitude of pollution to equivalent data output which is transmitted to the remote base station. The expected results would show data of the Nitrogen dioxide sensor for each location and graphical results. Research and suggestions have been offered by researchers for two decades and more on the increasing dangers of industrialization, population growth, influx of used vehicles popularly called ‘tokunbos’ as they pertain to the public health and adverse effects if not properly managed. The test findings of this work would show if the concentration of gaseous air pollutant like NO2 in a chosen location at a particular time poses a problem to humans and the environment. Keywords— Air pollution, Wireless sensor networks, Nitrogen dioxide, Environmental risk, public health, Hierarchical cluster-based architecture
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Katterbauer, Klemens, Abdallah Al Shehri, and Alberto Marsala. "A Novel Deep Reinforcement Sensor Placement Method for Waterfront Tracking." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204851-ms.

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Abstract Waterfront movement in fractured carbonate reservoirs occurs in micro-fractures, corridors and interconnected fracture channels (above 5 mm in size) that penetrate the carbonate reservoir structure. Determining the fracture channels and the waterfront movements within the flow corridors is critical to optimize sweep efficiency and increase hydrocarbon recovery. In this work, we present a new deep reinforcement learning algorithm for the optimization of sensor placement for waterfront movement detection in carbonate fracture channels. The framework deploys deep reinforcement learning approach for optimizing the location of sensors within the fracture channels to enhance waterfront tracking. The approach first deploys the deep learning algorithm for determining the water saturation levels within the fractures based on the sensor data.. Then, it updates the sensor locations in order to optimize the reservoir coverage. We test the deep reinforcement learning framework on a synthetic fracture carbonate reservoir box model exhibiting a complex fracture system. Fracture Robots (FracBots, around 5 mm in size) technology will be used to sense key reservoir parameters (e.g., temperature, pressure, pH and other chemical parameters). The technology is comprised of a wireless micro-sensor network for mapping and monitoring fractures in conventional and unconventional reservoirs [1]. It establish a wireless network connectivity via magnetic induction (MI)-based communication since it exhibits highly reliable and constant channel conditions with sufficient communication range in the oil reservoir environment. The system architecture of the FracBots network has two layers: FracBot nodes layer and a base station layer. A number of subsurface FracBot sensors are injected in the formation fractures that record data affected by changes in water saturation. The sensor placement can be adapted in the reservoir formation to improve sensor data quality, as well as better track the penetrating waterfronts. They will move with the injected fluids and distribute themselves in the fractures where they start sensing the surrounding environment's conditions and communicate data, including their location coordinates, among each other to finally send the information in multi-hop fashion to the base station installed inside the wellbore. The base station layer consists of a large antenna connected to an aboveground gateway. The data collected from the FracBots network will be transmitted to the control room via aboveground gateway for further processing. The results exhibited resilient performance in updating the sensor placement to capture the penetrating waterfronts in the formation. The framework performs well particularly when the distance between the sensors is sufficient to avoid measurement interference. The framework demonstrates the criticality of adequate sensor placement in the reservoir formation for accurate waterfront tracking. Also, it shows that itis a viable solution to optimize sensor placement for reservoir monitoring. This novel framework presents a vital component in the data analysis and interpretation of subsurface reservoir monitoring system for carbonate reservoirs. The results outline the opportunity to deploy advanced artificial intelligence algorithms, such as deep reinforcement methods, to optimally place downhole sensors to achieve best measurement success, and track the waterfronts as well as determine sweep efficiency.
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Klein, Levente J., Ted van Kessel, Dhruv Nair, Ramachandran Muralidhar, Hendrik Hamann, and Norma Sosa. "Monitoring Fugitive Methane Gas Emission From Natural Gas Pads." In ASME 2017 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2017 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ipack2017-74191.

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Identifying fugitive methane leaks can improve predictive maintenance of the extraction process, can extend gas extraction equipment lifetime, and eliminate hazardous work conditions. We demonstrate a wireless sensor network based on cost effective and robust chemi-resistive methane sensors combined with real time analytics to identify leaks from 2 scfh to 1000 scfh. The chemi-resistive sensors were validated to have a sensitivity better than 1 ppm in methane plume detection. The real time chemical sensor and wind data is integrated into an inversion models to identify the location and the magnitude of the methane leak. This integrated sensing and analytics solution can be deployed in outdoor environment for long term monitoring of accidental methane plume emissions, generate recommendations about fixing them, and ensure compliance with local government regulations.
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Jordan, Jennifer L., and George E. Ponchak. "Rectangular waveguide resonator for gas permittivity measurement at X-band." In 2018 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2018. http://dx.doi.org/10.1109/wisnet.2018.8311564.

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Priya, Shashank, Dan Popa, and Frank Lewis. "Energy Efficient Mobile Wireless Sensor Networks." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14078.

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Wireless sensor networks (WSN) have tremendous potential in many environmental and structural health monitoring applications including, gas, temperature, pressure and humidity monitoring, motion detection, and hazardous materials detection. Recent advances in CMOS-technology, IC manufacturing, and networking utilizing Bluetooth communications have brought down the total power requirements of wireless sensor nodes to as low as a few hundred microwatts. Such nodes can be used in future dense ad-hoc networks by transmitting data 1 to 10 meters away. For communication outside 10 meter ranges, data must be transmitted in a multi-hop fashion. There are significant implications to replacing large transmission distance WSN with multiple low-power, low-cost WSN. In addition, some of the relay nodes could be mounted on mobile robotic vehicles instead of being stationary, thus increasing the fault tolerance, coverage and bandwidth capacity of the network. The foremost challenge in the implementation of a dense sensor network is managing power consumption for a large number of nodes. The traditional use of batteries to power sensor nodes is simply not scalable to dense networks, and is currently the most significant barrier for many applications. Self-powering of sensor nodes can be achieved by developing a smart architecture which utilizes all the environmental resources available for generating electrical power. These resources can be structural vibrations, wind, magnetic fields, light, sound, temperature gradients and water currents. The generated electric energy is stored in the matching media selected by the microprocessor depending upon the power magnitude and output impedance. The stored electrical energy is supplied on demand to the sensors and communications devices. This paper shows the progress in our laboratory on powering stationary and mobile untethered sensors using a fusion of energy harvesting approaches. It illustrates the prototype hardware and software required for their implementation including MEMS pressure and strain sensors mounted on mobile robots or stationary, power harvesting modules, interface circuits, algorithms for interrogating the sensor, wireless data transfer and recording.
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Suresh Kumar, P., V. S. Abraham, C. P. G. Vallabhan, V. P. N. Nampoori, and P. Radhakrishnan. "Fiber optic evanescent wave sensor for ammonia gas." In Asia-Pacific Optical and Wireless Communications. SPIE, 2004. http://dx.doi.org/10.1117/12.520544.

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Reports on the topic "Wireless gas sensor"

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Pereira da Cunha, Mauricio. INTEGRATED HARSH ENVIRONMENT GAS / TEMPERATURE WIRELESS MICROWAVE ACOUSTIC SENSOR SYSTEM FOR FOSSIL ENERGY APPLICATIONS. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1633544.

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Kulkarni, Anand. Novel Temperature Sensors and Wireless Telemetry for Active Condition Monitoring of Advanced Gas Turbines. Office of Scientific and Technical Information (OSTI), December 2021. http://dx.doi.org/10.2172/1835571.

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Lei, Yu. Wireless 3D Nanorod Composite Arrays based High Temperature Surface-Acoustic-Wave Sensors for Selective Gas Detection through Machine Learning Algorithms (Final Report). Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1579515.

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