STUDY OF THE OZONE CONTROL PROCESS USING ELECTRONIC SENSORS
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Main Article Content
DOI
Authors
a.abdykadyrov@satbayev.university
k.chezhimbayeva@satbayev.university
Abstract
In research work the problem of studying the process of ozone control with the help of electronic sensors is considered. In research work, special sensors were used, which are formed around coronary electrodes in the ozonator and to monitor the concentration of ozone in the room. This is because ozone is known to adversely affect human health if its maximum permissible air concentration exceeds 0.16 mg/m3. A small system of ozonators was developed in a special laboratory, theoretical and experimental tests were carried out. In practice, the obtained data and the electric diagram of the ozonator (on the ARDUINO platform) were collected. "Prana Air" sensors and current sensors were used to accurately determine the ozone (O3) concentration around the ozone nozzle to measure the current at the electrodes.
Keywords:
References
[1] Abdykadyrov A. et al.: Purification of surface water by using the corona discharge method. Mining of Mineral Deposits, 18 (1), 2024, 125–137. [https://doi.org/10.33271/mining18.01.125]. DOI: https://doi.org/10.33271/mining18.01.125
[2] Abdykadyrov A., Kalandarov P., Marxuly S., Zhunussov K., Sharipova G., Sabyrova A., Akylzhan P., Uzak M.: Study of the process of neutralization of microorganisms in drinking water exposed to environmental problems. Water Conservation and Management, 8(3), 2024, 352–361 [https://doi.org/10.26480/wcm.03.2024.352.361].
[3] Agarwala R., Wang P., Bishop H. L., Dissanayake A., Calhoun B. H.: A 0.6V 785-nW Multimodal Sensor Interface IC for Ozone Pollutant Sensing and Correlated Cardiovascular Disease Monitoring. IEEE Journal of Solid-State Circuits 56(4), 2021, 1058–1070 [https://doi.org/10.1109/JSSC.2021.3057229]. DOI: https://doi.org/10.1109/JSSC.2021.3057229
[4] Contaret T., Seguin J.-L., Menini P., Aguir K.: Physical-Based Characterization of Noise Responses in Metal-Oxide Gas Sensors. IEEE Sensors Journal 13(3), 2013, 980–986 [https://doi.org/10.1109/JSEN.2012.2227707]. DOI: https://doi.org/10.1109/JSEN.2012.2227707
[5] Costilla-Reyes O., Scully P., Ozanyan K. B.: Deep neural networks for learning spatio-temporal features from tomography sensors. IEEE Transactions on Industrial Electronics 65(1), 2018, 645–653 [https://doi.org/10.1109/TIE.2017.2716907]. DOI: https://doi.org/10.1109/TIE.2017.2716907
[6] Dairi A., Harrou F., Senouci M., Sun Y.: Unsupervised obstacle detection in driving environments using deep-learning-based stereovision. Robotics and Autonomous Systems 100, 2018, 287–301. DOI: https://doi.org/10.1016/j.robot.2017.11.014
[7] Degner M., Damaschke N., Ewald H., Lewis E.: High resolution LED-spectroscopy for sensor application in harsh environment. IEEE Instrumentation & Measurement Technology Conference Proceedings. USA, Austin, TX, 2010, 1382–1386 [https://doi.org/10.1109/IMTC.2010.5488239]. DOI: https://doi.org/10.1109/IMTC.2010.5488239
[8] Degner M., Damaschke N., Ewald H., O'Keeffe S., Lewis E.: UV LED-based fiber coupled optical sensor for detection of ozone in the ppm and ppb range. IEEE SENSORS, Christchurch, New Zealand, 2009, 95–99 [https://doi.org/10.1109/ICSENS.2009.5398230]. DOI: https://doi.org/10.1109/ICSENS.2009.5398230
[9] Doll T., Fuchs A., Eisele I., Faglia G., Groppelli S., Sberveglieri G.: Room temperature ozone sensing with conductivity and work function sensors based on indium oxide. Proceedings of International Solid State Sensors and Actuators Conference (Transducers '97), 1997 [https://doi.org/10.1109/SENSOR.1997.613716]. DOI: https://doi.org/10.1109/SENSOR.1997.613716
[10] Egorov I., Esipov V., Remnev G., Kaikanov M., Lukonin E., Poloskov A.: A high-repetition rate pulsed electron accelerator. IEEE Transactions on Dielectrics and Electrical Insulation 20(4), 2013, 1334–1339 [https://doi.org/10.1109/TDEI.2013.6571453]. DOI: https://doi.org/10.1109/TDEI.2013.6571453
[11] Faleh R., Othman M., Kachouri A., Aguir K.: Recognition of O3 concentration using WO3 gas sensor and principal component analysis. 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Sousse, Tunisia, 2014, 322–327 [https://doi.org/10.1109/ATSIP.2014.6834629]. DOI: https://doi.org/10.1109/ATSIP.2014.6834629
[12] Fechete A. C., Wlodarski W. B., Kalantar-zadeh K., Holland A. S., Wisistsora-at A.: Ozone Sensors based on Layered SAW Devices with: InOx/SiNx/36° YX LiTaO3 Structure. TENCON 2005–2005 IEEE Region 10 Conference, Melbourne, 2005, 1–4 [https://doi.org/10.1109/TENCON.2005.301325]. DOI: https://doi.org/10.1109/TENCON.2005.301325
[13] Ghazaly C., Guillemot M., Castel B., Langlois E., Etienne M., Hebrant M.: Real-Time Optical Ozone Sensor for Occupational Exposure Assessment. 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII), Berlin, Germany, 2019, 1403–1406 [https://doi.org/10.1109/TRANSDUCERS.2019.8808516]. DOI: https://doi.org/10.1109/TRANSDUCERS.2019.8808516
[14] Harrou F., Dairi A., Sun Y., Senouci M.: Reliable detection of abnormal ozone measurements using an air quality sensors network. IEEE International Conference on Environmental Engineering (EE), Milan, Italy, 2018 [https://doi.org/10.1109/EE1.2018.8385265]. DOI: https://doi.org/10.1109/EE1.2018.8385265
[15] Harrou F., Nounou M., Nounou H.: Statistical detection of abnormal ozone levels using principal component analysis. International Journal of Engineering & Technology 12(6), 2012, 54–59.
[16] Jia Y., Wu J., Du Y.: Traffic speed prediction using deep learning method. IEEE 19th International Conference Intelligent Transportation Systems (ITSC), 2016, 1217–1222. DOI: https://doi.org/10.1109/ITSC.2016.7795712
[17] Kanokwan R., Chaiwas S., Nantivatana P., Kocharoen P., Thaenkaew S., Tansriwong S.: Efficiency evaluation of ozone gas concentration generation by commercial ozone generator for disinfection in residential buildings. International Electrical Engineering Congress (iEECON), Khon Kaen, Thailand, 2022 [https://doi.org/10.1109/iEECON53204.2022.9741631]. DOI: https://doi.org/10.1109/iEECON53204.2022.9741631
[18] Koesdwiady A., Soua R., Karray F.: Improving traffic flow prediction with weather information in connected cars: A deep learning approach. IEEE Transactions on Vehicular Technology 65(12), 2016, 9508–9517. DOI: https://doi.org/10.1109/TVT.2016.2585575
[19] Latif T., Dieffenderfer J., Tanneeru A., Lee B., Misra V., Bozkurt A.: Evaluation of Environmental Enclosures for Effective Ambient Ozone Sensing in Wrist-worn Health and Exposure Trackers. IEEE Sensors. Australia, Sydney, 2021 [https://doi.org/10.1109/SENSORS47087.2021.9639530]. DOI: https://doi.org/10.1109/SENSORS47087.2021.9639530
[20] Lunin V. V., Popovich M. P., Tkachenko S. N.: Physical chemistry of ozone. Max Press, Moscow, 2019.
[21] Lunin V. V., Samoilovich V. G., Tkachenko S. N., Tkachenko I. S.: Theory and practice of obtaining and applying ozone. Moscow University Press, Moscow 2016.
[22] Luqueta G. R., Santos E. D., Pessoa R. S., Maciel H. S.: Wireless Sensor Network to Monitoring an Ozone Sterilizer. IEEE Latin America Transactions 14(5), 2016, 2167–2174 [https://doi.org/10.1109/TLA.2016.7530410]. DOI: https://doi.org/10.1109/TLA.2016.7530410
[23] Maximum permissible concentrations (MPC) of pollutants in the atmospheric air of populated areas. Hygienic standards 2.1.6.1338-03. Ministry of Health of Russia, Moscow 2003
[https://files.stroyinf.ru/Data2/1/4294814/4294814669.pdf].
[24] Mischo M., Bitterling M., Himmerlich M., Krischok S., Ambacher O., Cimalla V.: Seebeck ozone sensors. The 17th International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers & Eurosensors XXVII), 2013 [https://doi.org/10.1109/Transducers.2013.6627100]. DOI: https://doi.org/10.1109/Transducers.2013.6627100
[25] Mukhopadhyay S., Sahu S. K.: A Bayesian spatiotemporal model to estimate long-term exposure to outdoor air pollution at coarser administrative geographies in England and Wales. Journal of the Royal Statistical Society Series A: Statistics in Society 181(2), 2018, 465–486 [https://doi.org/10.1111/rssa.12299]. DOI: https://doi.org/10.1111/rssa.12299
[26] Nawahda A.: An assessment of adding value of traffic information and other attributes as part of its classifiers in a data mining tool set for predicting surface ozone levels. Process Safety and Environmental Protection 99, 2016, 149–158. DOI: https://doi.org/10.1016/j.psep.2015.11.004
[27] Okafor N. U., Delaney D. T.: Application of Machine Learning Techniques for the Calibration of Low-cost IoT Sensors in Environmental Monitoring Networks. IEEE 6th World Forum on Internet of Things (WF-IoT). USA, New Orleans, LA, 2020 [https://doi.org/10.1109/WF-IoT48130.2020.9221246]. DOI: https://doi.org/10.1109/WF-IoT48130.2020.9221246
[28] O'Keeffe S., Fitzpatrick C., Lewis E.: Ozone Measurement Using Optical Fibre Sensors in the Visible Region. IEEE SENSORS, Irvine, CA, USA, 2005, [https://doi.org/10.1109/ICSENS.2005.1597810]. DOI: https://doi.org/10.1109/ICSENS.2005.1597810
[29] Pan C., Yan B., Flynn L., Beck T., Jin X., Buckner S.: Ozone Mapper Profiler Suite Nadir Profiler Degradation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022). Malaysia, Kuala Lumpur, 2022, 7348–7350 [https://doi.org/10.1109/IGARSS46834.2022.9883681]. DOI: https://doi.org/10.1109/IGARSS46834.2022.9883681
[30] Parameswaran K. R., Sonnenfroh D. M.: Compact ozone photometer based on UV LEDs. 23rd Annual Meeting of the IEEE Photonics Society, Denver, CO, USA, 2010, 375–376 [https://doi.org/10.1109/PHOTONICS.2010.5698916]. DOI: https://doi.org/10.1109/PHOTONICS.2010.5698916
[31] Petani L., Wickersheim D., Koker L., Reischl M., Gengenbach U., Pylatiuk C.: Experimental Setup for Evaluation of Medical Ozone Gas Sensors. IEEE Sensors Applications Symposium (SAS), Sundsvall, Sweden, 2022 [https://doi.org/10.1109/SAS54819.2022.9881340]. DOI: https://doi.org/10.1109/SAS54819.2022.9881340
[32] Pichugin Yu. P.: Evaluation of geometric and temperature parameters of micro-discharges in a barrier discharge. Bulletin of the Chuvash University 3, 2011, 102–107.
[33] Rahmat S. et al.: The Correlation Among Ozone Gases, Hissing Frequency, and Ultraviolet Light in Corona Effects. 2nd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS). Indonesia, Yogyakarta, 2022, 74–78 [https://doi.org/10.1109/ICE3IS56585.2022.10010024]. DOI: https://doi.org/10.1109/ICE3IS56585.2022.10010024
[34] Raiser Yu. P.: Physics of a gas discharge. Scientific publication. Publishing House "Intellect", Dolgoprudny 2009.
[35] Ravì D., Wong C., Deligianni F., Berthelot M., Andreu-Perez J., Lo B., Yang G.-Z.: Deep learning for health informatics. IEEE Journal of Biomedical and Health Informatics 21(1), 2017, 4–21. DOI: https://doi.org/10.1109/JBHI.2016.2636665
[36] Rissanen M. P. et al.: The formation of highly oxidized multifunctional products in the ozonolysis of cyclohexene. Journal of the American Chemical Society 136(44), 2014, 15596–15606. DOI: https://doi.org/10.1021/ja507146s
[37] Shaban K. B., Kadri A., Rezk E.: Urban air pollution monitoring system with forecasting models. IEEE Sensors Journal 16(8), 2016, 2598–2606. DOI: https://doi.org/10.1109/JSEN.2016.2514378
[38] Shaddick G., Wakefield J.: Modelling daily multivariate pollutant data at multiple sites. Journal of the Royal Statistical Society: Series C (Applied Statistics) 51(3), 2002, 351–372. DOI: https://doi.org/10.1111/1467-9876.00273
[39] Sung T.-L.: Direct Measurement of Metal Surface Temperature During Catalytic Dissociation of Ozone for Sensor Application. IEEE Transactions on Plasma Science 42(12), 2014, 3842–3846 [https://doi.org/10.1109/TPS.2014.2350000]. DOI: https://doi.org/10.1109/TPS.2014.2350000
[40] Suryono S., Khuriati A.: Mobile Measurement System of Ozone Concentration in Urban Areas. Third International Conference on Informatics and Computing (ICIC), Palembang, Indonesia, 2018 [https://doi.org/10.1109/IAC.2018.8780449]. DOI: https://doi.org/10.1109/IAC.2018.8780449
[41] Wang J., Zhang X., Gao Q., Yue H., Wang H.: Device-free wireless localization and activity recognition: A deep learning approach. IEEE Transactions on Vehicular Technology 66(7), 2017, 6258–6267. DOI: https://doi.org/10.1109/TVT.2016.2635161
[42] Wang Z. et al.: Ozone senosr using ZnO based film bulk acoustic resonator. 16th International Solid-State Sensors, Actuators and Microsystems Conference, China, Beijing, 2011, 1124–1127 [https://doi.org/10.1109/TRANSDUCERS.2011.5969275]. DOI: https://doi.org/10.1109/TRANSDUCERS.2011.5969275
[43] Wen H., Xiao Z., Markham A., Trigoni N.: Accuracy estimation for sensor systems. IEEE Transactions on Mobile Computing 14(7), 2015, 1330–1343. DOI: https://doi.org/10.1109/TMC.2014.2352262
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