Abstract
Gas sensor devices usage have found prominence in fields like artificial olfactory systems and is often used to keep in check pollution and other toxic gas hazards. Graphene mono-layered sensing material along with Gold nano-particles have been previously used to formulate a sensor device. In recent times, internet of things (IoT) capable gas sensing device is a subject of great interest. Previously, it has been implemented through various wired and wireless communications like Zigbee Protocol, IBM Bluemix and sensor nodes but they have their own limitations. In this work nano gas sensor device used for detecting perilous and toxic gas has been fabricated and enhanced to increase its selectivity and sensitivity. Fabrication of Au based TiO2, CuO, ZnO, and WO3 resistive type gas sensor array has been done using sol gel method and analyzed to ensure better conduction. Application of the proposed sensing device can prevent accident in mines by precise and prompt checking of hazardous gases present inside. An IoT frame work has been proposed in this study where Node MCU (ESP8266) is used as a WiFi module along with Message Queuing Telemetry Transport protocol, which resulted in better speed and efficiency. Increased sensitivity and selectivity of the sensor nodes with better efficiency and speed of communication ensures a productive mine hazard management.
Similar content being viewed by others
References
Azamuddin Bin Ab Rahman RJ (2015) Comparison of internet of things (IoT) data link protocol. https://www.cse.wustl.edu/~jain/cse570-15/index.html. Accessed 2019
Dey A, Kantha B, Sarkar SK (2017) Sol–gel grown Pd modified WO3 thin film based methanol sensor and the effect of annealing temperatures. Microsyst Technol 23(9):4195–4201
Dey A, Roy S, Sarkar SK (2018) Synthesis, fabrication and characterization of ZnO based thin films prepared by sol–gel process and H2 gas sensing performance. J Math Eng Perform. https://doi.org/10.1007/s11665-018-3284-z
Henriques V, Malekian R (2016) Mine safety system using wireless sensor network. IEEE Access 4:3511–3521. https://doi.org/10.1109/access.2016.2581844
Hou Y, Jayatissa AH (2011) Sol–gel derived aluminum doped nanocrystalline zinc oxide for hydrogen gas sensing. International Semiconductor Device Research Symposium (ISDRS) https://doi.org/10.1557/jmr.2013.273
Huang H, Gong H, Chow CL, Guo J, White TJ, Tse M, Tan OK (2011) Low-temperature growth of SnO2 nanorod arrays and tunable n–p–n sensing response of a ZnO/SnO2 heterojunction for exclusive hydrogen sensors. Adv Funct Mater 21:2680–2686
IDLHLimits. “MineGases”. https://shahroodut.ac.ir/fa/download.php
Kim KS, Song JZ, Zhang C, Yun TS, Noh SK (2011) A study on home indoor environment system. In: Yellow sea international conference on ubiquitous computing (UbiComp). Accessed 2019
Kosc I, Hotovy I, Rehacek V, Griesseler R, Predanocy M, Wilke M, Spiess L (2013) Sputtered TiO2 thin films with NiO additives for hydrogen detection. App Surf Sci 269:110–115
Liu Y, Hang T, Xie Y, Bao Z, Song J, Zhang H, Xie E (2011) Effect of Mg doping on the hydrogen-sensing characteristics of ZnO thin films. Sens Actuators B 160:266–270
Marchand N, Walewyns T, Lahem D, Debliquy M, Francis LA (2017) Ultra-low-power chemiresistive microsensor array in a back-end CMOS process towards selective volatile compounds detection and IoT applications. In: International symposium on olfaction and electronic nose (ISOEN), pp 1–3. https://doi.org/10.1109/isoen.2017.7968914
Mingesz R, Makan G, Balogh B, Vadai G, Gingl Z (2017) IoT framework for fluctuation enhanced sensing. In: International conference on noise and fluctuations (ICNF), pp 1–4. https://doi.org/10.1109/icnf.2017.7985992
Nath S, Seal A, Banerjee T, Sarkar SK (2017) Optimization using swarm intelligence and dynamic graph partitioning in IoE infrastructure: fog computing and cloud computing. In: Computational intelligence, communications, and business analytics (CICBA), pp 440–452. https://doi.org/10.1007/978-981-10-6427-2_36
Noh S, Kim K, Ji Y (2013) Design of a room monitoring system for wireless sensor networks. Int J Distrib Sens N. https://doi.org/10.1155/2013%2F189840
Shafura AK, Sin NDM, Azhar NEA, Uzer M, Mamat MH, Alrokayan SAH, Khan HA, Rusop M (2014) Sensitivity of nanostructured Al-doped ZnO-based CH4 sensor fabricated using sol–gel method. In: ICEESE, pp 24–27. https://doi.org/10.1109/iceese.2014.7154614
Sun Y-F, Liu S-B, Meng F-L, Liu J-Y, Jin Z, Kong L-T, Liu J-H (2012) Metal oxide nanostructures and their gas sensing properties: a review. Sensors 12(3):2610–2631
Tanu T, Rathi N, Kakani M, Rizkalla M (2017) High sensitivity low noise nano-gas sensing device with IoT capabilities. In: National aerospace and electronics conference (NAECON), pp 167–171. https://doi.org/10.1109/NAECON.2017.8268763
Wijaya DR, Sarno R, Zulaika E (2016) Gas concentration analysis of resistive gas sensor array. In: International symposium on electronics and smart devices (ISESD). https://doi.org/10.1109/isesd.2016.788674
Xianzhe H (2011) Room temperature and humidity monitoring and energy saving system. In: International conference on computer science & education (ICCSE), pp 537–540. https://doi.org/10.1109/iccse.2011.6028696
Zhang J, Song G, Wang H, Meng T (2011) Design of a wireless sensor network based monitoring system for home automation. In: International conference on future computer sciences and application (ICFCSA), pp 57–60. https://doi.org/10.1109/icfcsa.2011.20
Zhou Q, Chen W, Peng S, Su X (2012) Nano-tin oxide gas sensor detection characteristic for hydrocarbon gases dissolved in transformer oil. In: International Conference on high voltage engineering and application (ICHVE), pp 384–387. https://doi.org/10.1109/ichve.2012.6357130
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Nath, S., Dey, A., Pachal, P. et al. Performance analysis of gas sensing device and corresponding IoT framework in mines. Microsyst Technol 27, 3977–3985 (2021). https://doi.org/10.1007/s00542-019-04621-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00542-019-04621-x