A Study on Intelligent Space Sterilization System Using UV

Chang-shin Lee; Ji-won Kim; Jeong-ja Bae

doi:doi:10.11648/j.ijees.20230804.12

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A Study on Intelligent Space Sterilization System Using UV

Chang-shin Lee, Ji-won Kim, Jeong-ja Bae

Published in International Journal of Energy and Environmental Science (Volume 8, Issue 4)

Received: 5 July 2023 Accepted: 2 August 2023 Published: 5 August 2023

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Abstract

There is a need for a system that can block the spread of contaminants in the air flow path of multi-use facilities, where it is difficult to wear masks continuously frequent contact with humans or food consumption, etc. and to prevent disease at all times. In order to measure the pollution level of an enclosed indoor space, we intend to develop an intelligent system that monitors the environmental data obtained in real time using sensing information. Furthermore, it is intended to develop an intelligent system that intensively sterilizes places where contamination is expected to occur frequently according to the flow of people and the form of crowding. This can be applied to all theme facilities such as public transportation facilities (SRT) and medical facilities. As a modular product, it has the function of purifying fine dust/various harmful substances in the indoor space and sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. It has the function of sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. As an AI-based space sterilization system, the structure consists of surface sterilization lighting and air sterilizer. Surface sterilization lighting consists of a double-edged 405nm LED module that is harmless to the human body in addition to general surface lighting. And the air sterilizer is composed of a photocatalyst-coated spiral structure air load pan, HEPA filter, UVC LED module, complex sensor, wireless communication device and SMPS. AI technology was applied to analyze the distribution type and movement route of people in space, and air purification and sterilization power were controlled through air pollution measurement and contamination location analysis through complex sensor data. Mechanism design and UI/UX were designed. Surface sterilization lighting and air sterilizer mechanism design and UI/UX design were designed, and it can be used in an eco-friendly manner in various multi-use spaces.Surface Lighting, UV-LEDs, Complex Sensors, Intelligent, Space Sterilization

Published in	International Journal of Energy and Environmental Science (Volume 8, Issue 4)
DOI	10.11648/j.ijees.20230804.12
Page(s)	79-87
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Surface Lighting, UV-LEDs, Complex Sensors, Intelligent, Space Sterilization

References

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[2]	K. B. Jeong, S. G. Choi,, “UV Immune System of Personalized Space” Facilities engineering paper collection, 2009.
[3]	Photobiological Safety of Lamps and Lamp Devices, K62471-1, [IEC 62471, ed1, 2006-07] Safety Standards for Electrical Appliances, Enactment and Standards Agency Notification No. 2009-0476, 2009.
[4]	Electrical Supplies Safety Standards K7000, "Individual Requirements for Safety, Electric Disinfectors, and Similar Electric Appliances for Household and Similar Electric Appliances" Revised Technical Standards Institute Notification 2008-907 December 12, 2008.
[5]	S. B. Yun, Y. J. Hwang, S. C. Kim, Development of air-sterilization purification system of fusion and composite structure using broadband-to-active photocatalyst, Journal of the Korea Convergence Society v. 10 no. 4, 2019. pp. 147 – 151.
[6]	L. E. Murdoch, K. McKenzie, M. Maclean, S. J. Macgregor, J. G. Anderson, “Lethal effects of high-intensity violet 405nm light on Saccharomyces cerevisiae, Candida albicans, and on dormant and germinating spores of Aspergillus Niger’, Fungal biology, Vol. 117, No. 7-8, 2013, pp. 519-527.
[7]	J. H. Kim, J. I. Bang, A. S. Choi, M. K. Sung, “An analysis on the Effect of Mold Sterilization in Apartment Using 405nm Visible Light LED”, Journal of Korea Institute of Architectural Sustainable Environment and Building Systems, 2019, pp. 580-598.
[8]	J. H. Kim, Y. L. Jo, J. I. Bang, A. S. Choi, M. K. Sung, “A study on the prediction of surface sterilization performance of ultraviolet germicidal irradiation system using radiance analysis”, Journal of Odor and indoor Environment, Vol. 18, No. 1, 2019, pp. 60-66.
[9]	KCL, Korea Conformity Laboratories, Korea Institute of Construction and Living Testing, Microbial Reduction Performance Test, Antibacterial /Antibacterial Fungal Test. 2020.
[10]	Y. B. Jo, K. M. Kim, L. J. Min, C. H. Cho, J. W. Park, Y. S. Jung, Forward emission system air sterilizer using UVC-photocatalyst, KSMTE Annual Spring Conferences 2022.
[11]	J. C. Joo, Y. H. Yun, H. S. An, S. H. Nam, J. Y. Park, C. H. An, S. R. M. Lee, D. G. Jang, J. H. Oh, J. Y. Yu, Development of technology to remove indoor air dust based on dielectrophoretic and electrostatic force, 2013. 12. Korea Institute of Civil Engineering and Building Technology.
[12]	C. Park, H. Kim, and N. Moon, “Unauthorized person tracking system in video using CNN-LSTM based location positioning,” Journal of the Korea Society of Computer and Information, vol. 26, no. 12, pp. 77–84, Dec. 2021, Doi: 10.9708/jksci.2021.26. 12.077.
[13]	S.-H. Oh and J.-H. Maeng, “Improvement of location positioning using KNN, Local Map Classification and Bayes Filter for indoor location recognition system,” Journal of the Korea Society of Computer and Information, vol. 26, no. 6, pp. 29–35, Jun. 2021, Doi: 10.9708/jksci.2021.26.06.029.
[14]	G. W. Ji, C. W. Lee, J. S. Yun, Counting and Localizing Occupants using IR-UWB Radar and Machine Learning, JKSCI, 2022.5.
[15]	P. Dabove, V. Di Pietra, M. Piras, A. A. Jabbar and S. A. Kazim, "Indoor positioning using Ultra-wide band (UWB) technologies: Positioning accuracies and sensors' performances," IEEE/ION Counting and Localizing Occupants using IR-UWB Radar and Machine Learning 9 Position, Location and Navigation Symposium (PLANS), pp. 175-184, Apr. 2018 Doi: 10.1109/PLANS.2018.8373379.

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APA Style

Chang-shin Lee, Ji-won Kim, Jeong-ja Bae. (2023). A Study on Intelligent Space Sterilization System Using UV. International Journal of Energy and Environmental Science, 8(4), 79-87. https://doi.org/10.11648/j.ijees.20230804.12

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ACS Style

Chang-shin Lee; Ji-won Kim; Jeong-ja Bae. A Study on Intelligent Space Sterilization System Using UV. Int. J. Energy Environ. Sci. 2023, 8(4), 79-87. doi: 10.11648/j.ijees.20230804.12

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AMA Style

Chang-shin Lee, Ji-won Kim, Jeong-ja Bae. A Study on Intelligent Space Sterilization System Using UV. Int J Energy Environ Sci. 2023;8(4):79-87. doi: 10.11648/j.ijees.20230804.12

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@article{10.11648/j.ijees.20230804.12,
  author = {Chang-shin Lee and Ji-won Kim and Jeong-ja Bae},
  title = {A Study on Intelligent Space Sterilization System Using UV},
  journal = {International Journal of Energy and Environmental Science},
  volume = {8},
  number = {4},
  pages = {79-87},
  doi = {10.11648/j.ijees.20230804.12},
  url = {https://doi.org/10.11648/j.ijees.20230804.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20230804.12},
  abstract = {There is a need for a system that can block the spread of contaminants in the air flow path of multi-use facilities, where it is difficult to wear masks continuously frequent contact with humans or food consumption, etc. and to prevent disease at all times. In order to measure the pollution level of an enclosed indoor space, we intend to develop an intelligent system that monitors the environmental data obtained in real time using sensing information. Furthermore, it is intended to develop an intelligent system that intensively sterilizes places where contamination is expected to occur frequently according to the flow of people and the form of crowding. This can be applied to all theme facilities such as public transportation facilities (SRT) and medical facilities. As a modular product, it has the function of purifying fine dust/various harmful substances in the indoor space and sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. It has the function of sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. As an AI-based space sterilization system, the structure consists of surface sterilization lighting and air sterilizer. Surface sterilization lighting consists of a double-edged 405nm LED module that is harmless to the human body in addition to general surface lighting. And the air sterilizer is composed of a photocatalyst-coated spiral structure air load pan, HEPA filter, UVC LED module, complex sensor, wireless communication device and SMPS. AI technology was applied to analyze the distribution type and movement route of people in space, and air purification and sterilization power were controlled through air pollution measurement and contamination location analysis through complex sensor data. Mechanism design and UI/UX were designed. Surface sterilization lighting and air sterilizer mechanism design and UI/UX design were designed, and it can be used in an eco-friendly manner in various multi-use spaces.Surface Lighting, UV-LEDs, Complex Sensors, Intelligent, Space Sterilization},
 year = {2023}
}

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TY  - JOUR
T1  - A Study on Intelligent Space Sterilization System Using UV
AU  - Chang-shin Lee
AU  - Ji-won Kim
AU  - Jeong-ja Bae
Y1  - 2023/08/05
PY  - 2023
N1  - https://doi.org/10.11648/j.ijees.20230804.12
DO  - 10.11648/j.ijees.20230804.12
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 79
EP  - 87
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20230804.12
AB  - There is a need for a system that can block the spread of contaminants in the air flow path of multi-use facilities, where it is difficult to wear masks continuously frequent contact with humans or food consumption, etc. and to prevent disease at all times. In order to measure the pollution level of an enclosed indoor space, we intend to develop an intelligent system that monitors the environmental data obtained in real time using sensing information. Furthermore, it is intended to develop an intelligent system that intensively sterilizes places where contamination is expected to occur frequently according to the flow of people and the form of crowding. This can be applied to all theme facilities such as public transportation facilities (SRT) and medical facilities. As a modular product, it has the function of purifying fine dust/various harmful substances in the indoor space and sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. It has the function of sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. As an AI-based space sterilization system, the structure consists of surface sterilization lighting and air sterilizer. Surface sterilization lighting consists of a double-edged 405nm LED module that is harmless to the human body in addition to general surface lighting. And the air sterilizer is composed of a photocatalyst-coated spiral structure air load pan, HEPA filter, UVC LED module, complex sensor, wireless communication device and SMPS. AI technology was applied to analyze the distribution type and movement route of people in space, and air purification and sterilization power were controlled through air pollution measurement and contamination location analysis through complex sensor data. Mechanism design and UI/UX were designed. Surface sterilization lighting and air sterilizer mechanism design and UI/UX design were designed, and it can be used in an eco-friendly manner in various multi-use spaces.Surface Lighting, UV-LEDs, Complex Sensors, Intelligent, Space Sterilization
VL  - 8
IS  - 4
ER  -

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Author Information

Chang-shin Lee

Conis Co. Ltd., Pusan, Republic of Korea
Ji-won Kim

Conis Co. Ltd., Pusan, Republic of Korea
Jeong-ja Bae

Division of Basic Sciences, Dong-Eui University, Pusan, Republic of Korea

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APA Style

Chang-shin Lee, Ji-won Kim, Jeong-ja Bae. (2023). A Study on Intelligent Space Sterilization System Using UV. International Journal of Energy and Environmental Science, 8(4), 79-87. https://doi.org/10.11648/j.ijees.20230804.12

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ACS Style

Chang-shin Lee; Ji-won Kim; Jeong-ja Bae. A Study on Intelligent Space Sterilization System Using UV. Int. J. Energy Environ. Sci. 2023, 8(4), 79-87. doi: 10.11648/j.ijees.20230804.12

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AMA Style

Chang-shin Lee, Ji-won Kim, Jeong-ja Bae. A Study on Intelligent Space Sterilization System Using UV. Int J Energy Environ Sci. 2023;8(4):79-87. doi: 10.11648/j.ijees.20230804.12

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@article{10.11648/j.ijees.20230804.12,
  author = {Chang-shin Lee and Ji-won Kim and Jeong-ja Bae},
  title = {A Study on Intelligent Space Sterilization System Using UV},
  journal = {International Journal of Energy and Environmental Science},
  volume = {8},
  number = {4},
  pages = {79-87},
  doi = {10.11648/j.ijees.20230804.12},
  url = {https://doi.org/10.11648/j.ijees.20230804.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20230804.12},
  abstract = {There is a need for a system that can block the spread of contaminants in the air flow path of multi-use facilities, where it is difficult to wear masks continuously frequent contact with humans or food consumption, etc. and to prevent disease at all times. In order to measure the pollution level of an enclosed indoor space, we intend to develop an intelligent system that monitors the environmental data obtained in real time using sensing information. Furthermore, it is intended to develop an intelligent system that intensively sterilizes places where contamination is expected to occur frequently according to the flow of people and the form of crowding. This can be applied to all theme facilities such as public transportation facilities (SRT) and medical facilities. As a modular product, it has the function of purifying fine dust/various harmful substances in the indoor space and sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. It has the function of sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. As an AI-based space sterilization system, the structure consists of surface sterilization lighting and air sterilizer. Surface sterilization lighting consists of a double-edged 405nm LED module that is harmless to the human body in addition to general surface lighting. And the air sterilizer is composed of a photocatalyst-coated spiral structure air load pan, HEPA filter, UVC LED module, complex sensor, wireless communication device and SMPS. AI technology was applied to analyze the distribution type and movement route of people in space, and air purification and sterilization power were controlled through air pollution measurement and contamination location analysis through complex sensor data. Mechanism design and UI/UX were designed. Surface sterilization lighting and air sterilizer mechanism design and UI/UX design were designed, and it can be used in an eco-friendly manner in various multi-use spaces.Surface Lighting, UV-LEDs, Complex Sensors, Intelligent, Space Sterilization},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - A Study on Intelligent Space Sterilization System Using UV
AU  - Chang-shin Lee
AU  - Ji-won Kim
AU  - Jeong-ja Bae
Y1  - 2023/08/05
PY  - 2023
N1  - https://doi.org/10.11648/j.ijees.20230804.12
DO  - 10.11648/j.ijees.20230804.12
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 79
EP  - 87
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20230804.12
AB  - There is a need for a system that can block the spread of contaminants in the air flow path of multi-use facilities, where it is difficult to wear masks continuously frequent contact with humans or food consumption, etc. and to prevent disease at all times. In order to measure the pollution level of an enclosed indoor space, we intend to develop an intelligent system that monitors the environmental data obtained in real time using sensing information. Furthermore, it is intended to develop an intelligent system that intensively sterilizes places where contamination is expected to occur frequently according to the flow of people and the form of crowding. This can be applied to all theme facilities such as public transportation facilities (SRT) and medical facilities. As a modular product, it has the function of purifying fine dust/various harmful substances in the indoor space and sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. It has the function of sterilizing harmful bacteria, viruses, harmful microorganisms, mold, etc. As an AI-based space sterilization system, the structure consists of surface sterilization lighting and air sterilizer. Surface sterilization lighting consists of a double-edged 405nm LED module that is harmless to the human body in addition to general surface lighting. And the air sterilizer is composed of a photocatalyst-coated spiral structure air load pan, HEPA filter, UVC LED module, complex sensor, wireless communication device and SMPS. AI technology was applied to analyze the distribution type and movement route of people in space, and air purification and sterilization power were controlled through air pollution measurement and contamination location analysis through complex sensor data. Mechanism design and UI/UX were designed. Surface sterilization lighting and air sterilizer mechanism design and UI/UX design were designed, and it can be used in an eco-friendly manner in various multi-use spaces.Surface Lighting, UV-LEDs, Complex Sensors, Intelligent, Space Sterilization
VL  - 8
IS  - 4
ER  -

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