Blockchain-based IoT system for personalized indoor temperature control

Jaewon Jeoung; Seunghoon Jung; Taehoon Hong; Jun Ki Choi

doi:10.1016/j.autcon.2022.104339

Blockchain-based IoT system for personalized indoor temperature control

Jaewon Jeoung, Seunghoon Jung, Taehoon Hong, Jun Ki Choi

Department of Architecture and Architectural Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

This study aimed to develop a blockchain-based IoT (BIoT) system for adopting automated personalized indoor temperature control to the building management system (BMS) while ensuring data privacy and security. A novel blockchain framework was proposed to register occupants and the personalized thermal sensation vote (TSV) prediction model for training, and control indoor temperatures while ensuring the security of occupant and building data. By implementing the proposed BIoT temperature control system, it could securely transfer about 30,000 personal data for TSV prediction at the same time using a single PC. Moreover, the personalized TSV prediction model could improve accuracy compared to the existing generalized TSV prediction model. As a result, the developed BIoT temperature control system could improve thermal comfort and energy efficiency compared to manual indoor temperature control. Occupants can ultimately be satisfied with the personalized temperature control in every room where required IoT devices are installed without privacy issues.

Original language	English
Article number	104339
Journal	Automation in Construction
Volume	140
DOIs	https://doi.org/10.1016/j.autcon.2022.104339
Publication status	Published - 2022 Aug

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT; Ministry of Science and ICT) ( NRF-2021R1A3B1076769 ).

Publisher Copyright:
© 2022 Elsevier B.V.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Civil and Structural Engineering
Building and Construction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.autcon.2022.104339

Cite this

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title = "Blockchain-based IoT system for personalized indoor temperature control",

abstract = "This study aimed to develop a blockchain-based IoT (BIoT) system for adopting automated personalized indoor temperature control to the building management system (BMS) while ensuring data privacy and security. A novel blockchain framework was proposed to register occupants and the personalized thermal sensation vote (TSV) prediction model for training, and control indoor temperatures while ensuring the security of occupant and building data. By implementing the proposed BIoT temperature control system, it could securely transfer about 30,000 personal data for TSV prediction at the same time using a single PC. Moreover, the personalized TSV prediction model could improve accuracy compared to the existing generalized TSV prediction model. As a result, the developed BIoT temperature control system could improve thermal comfort and energy efficiency compared to manual indoor temperature control. Occupants can ultimately be satisfied with the personalized temperature control in every room where required IoT devices are installed without privacy issues.",

author = "Jaewon Jeoung and Seunghoon Jung and Taehoon Hong and Choi, {Jun Ki}",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT; Ministry of Science and ICT) ( NRF-2021R1A3B1076769 ). Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2022",

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doi = "10.1016/j.autcon.2022.104339",

language = "English",

volume = "140",

journal = "Automation in Construction",

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AU - Jeoung, Jaewon

AU - Jung, Seunghoon

AU - Hong, Taehoon

AU - Choi, Jun Ki

N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT; Ministry of Science and ICT) ( NRF-2021R1A3B1076769 ). Publisher Copyright: © 2022 Elsevier B.V.

PY - 2022/8

Y1 - 2022/8

N2 - This study aimed to develop a blockchain-based IoT (BIoT) system for adopting automated personalized indoor temperature control to the building management system (BMS) while ensuring data privacy and security. A novel blockchain framework was proposed to register occupants and the personalized thermal sensation vote (TSV) prediction model for training, and control indoor temperatures while ensuring the security of occupant and building data. By implementing the proposed BIoT temperature control system, it could securely transfer about 30,000 personal data for TSV prediction at the same time using a single PC. Moreover, the personalized TSV prediction model could improve accuracy compared to the existing generalized TSV prediction model. As a result, the developed BIoT temperature control system could improve thermal comfort and energy efficiency compared to manual indoor temperature control. Occupants can ultimately be satisfied with the personalized temperature control in every room where required IoT devices are installed without privacy issues.

AB - This study aimed to develop a blockchain-based IoT (BIoT) system for adopting automated personalized indoor temperature control to the building management system (BMS) while ensuring data privacy and security. A novel blockchain framework was proposed to register occupants and the personalized thermal sensation vote (TSV) prediction model for training, and control indoor temperatures while ensuring the security of occupant and building data. By implementing the proposed BIoT temperature control system, it could securely transfer about 30,000 personal data for TSV prediction at the same time using a single PC. Moreover, the personalized TSV prediction model could improve accuracy compared to the existing generalized TSV prediction model. As a result, the developed BIoT temperature control system could improve thermal comfort and energy efficiency compared to manual indoor temperature control. Occupants can ultimately be satisfied with the personalized temperature control in every room where required IoT devices are installed without privacy issues.

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Blockchain-based IoT system for personalized indoor temperature control

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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