Proposal of a Scalable Building Operating System Architecture and Data Model Toward Software-Defined Building

Owaki, Koichi; Yamamoto, Matsuki; Techasarntikul Nattaon; Ohsita, Yuichi; Shimonishi, Hideyuki; Higashioka, Kouki; Toshima, Yoshihisa; Ogura, Takanori; Shimojo, Shinji

doi:https://doi.org/10.1109/COMPSAC61105.2024.00249

Proposal of a Scalable Building Operating System Architecture and Data Model Toward Software-Defined Building

Owaki, Koichi; Yamamoto, Matsuki; Techasarntikul Nattaon et al.

Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024, 2024, 1586-1591

Number of Access:956（2025-08-14 07:54 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/98234

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Title	Proposal of a Scalable Building Operating System Architecture and Data Model Toward Software-Defined Building
Creator	CreatorName Owaki, Koichi
	NRID 1000010895246 1000010895246 researchmap permalink matsuki-y matsuki-y CreatorName Yamamoto, Matsuki
	NRID 1000030886552 1000030886552 researchmap permalink nattaontecha nattaontecha CreatorName Techasarntikul Nattaon
	NRID 1000080432425 1000080432425 ORCID 0000-0001-9784-627X 0000-0001-9784-627X researchmap permalink read0210112 read0210112 Scopus Author ID 8216144600 8216144600 CreatorName Ohsita, Yuichi
	NRID 1000020532071 1000020532071 researchmap permalink h-shimonishi h-shimonishi Scopus Author ID 6603513460 6603513460 ORCID 0009-0004-4364-5877 0009-0004-4364-5877 CreatorName Shimonishi, Hideyuki
	CreatorName Higashioka, Kouki
	CreatorName Toshima, Yoshihisa
	CreatorName Ogura, Takanori
	NRID 1000000187478 1000000187478 ORCID 0000-0003-2348-7408 0000-0003-2348-7408 researchmap permalink sshimojo sshimojo Scopus Author ID 35518189500 35518189500 CreatorName Shimojo, Shinji
Subject	BACnet
	BIM
	Digital Twin
	Smart Building
	Web of Things
Description	Owaki K., Yamamoto M., Techasarntikul N., et al. Proposal of a Scalable Building Operating System Architecture and Data Model Toward Software-Defined Building. Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024 , 1586 (2024); https://doi.org/10.1109/COMPSAC61105.2024.00249.
Abstract	The development of Internet of Things and smart building technologies will accelerate many real-world entities (e.g., equipment, people flow, comfort levels) to be managed as digital data. This enables a Software-Defined Building in which advanced and complex applications realize a broad range of value propositions for smart buildings. To enable a scalable platform that can easily add and integrate a wide range of data and applications, the main issue addressed is the difficulty in unifying existing building equipment data models used in BACnet or others, or any related information in the building. Based on the Web of Things architecture, we propose a data model that accommodates both the information within buildings and the broad range of information expected to increase in the future. To enable the proposed data model to be efficiently managed by a building OS, we also propose a hierarchical mechanism that incorporates modules to convert the group of devices connected by different protocols into a unified data model. We develop a prototype building OS platform using Eclipse Ditto to evaluate the proposed model and mechanism. We confirm that the platform can correctly manage device information and that its performance is sufficient.
Conference Information	Conference Name Annual Computers, Software, and Applications Conference (COMPSAC) Conference Sequence 48 Conference Sponsor IEEE Conference Date July 2nd to July 4th, 2024 Conference Venue Nakanoshima Center, Osaka University Conference Place Osaka Conference Country Japan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Source Title	Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024
Page	1586-1591
Date of Issued	2024-07-02
Language	English
Handle URL	https://hdl.handle.net/11094/98234
Relation.isVersionOf	DOI (Publisher Version) https://doi.org/10.1109/COMPSAC61105.2024.00249
Access Rights	open access
CopyRight	© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
oaire:version	Accepted Manuscript
Category	会議発表論文 Conference Paper

Resource Type	conference paper
Local Type	Conference Paper
DCTERMS.bibliographicCitation	Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024. 2024, p. 1586-1591
DC.title	Proposal of a Scalable Building Operating System Architecture and Data Model Toward Software-Defined Building
DC.creator	Owaki, Koichi
	Yamamoto, Matsuki
	Techasarntikul Nattaon
	Ohsita, Yuichi
	Shimonishi, Hideyuki
	Higashioka, Kouki
	Toshima, Yoshihisa
	Ogura, Takanori
	Shimojo, Shinji
DC.publisher	Institute of Electrical and Electronics Engineers Inc.
DC.language' scheme='DCTERMS.RFC1766	English
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-07-02
DC.identifier	https://doi.org/10.1109/COMPSAC61105.2024.00249
DC.subject	BACnet
	BIM
	Digital Twin
	Smart Building
	Web of Things
DC.description	Owaki K., Yamamoto M., Techasarntikul N., et al. Proposal of a Scalable Building Operating System Architecture and Data Model Toward Software-Defined Building. Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024 , 1586 (2024); https://doi.org/10.1109/COMPSAC61105.2024.00249.
DCTERMS.abstract	The development of Internet of Things and smart building technologies will accelerate many real-world entities (e.g., equipment, people flow, comfort levels) to be managed as digital data. This enables a Software-Defined Building in which advanced and complex applications realize a broad range of value propositions for smart buildings. To enable a scalable platform that can easily add and integrate a wide range of data and applications, the main issue addressed is the difficulty in unifying existing building equipment data models used in BACnet or others, or any related information in the building. Based on the Web of Things architecture, we propose a data model that accommodates both the information within buildings and the broad range of information expected to increase in the future. To enable the proposed data model to be efficiently managed by a building OS, we also propose a hierarchical mechanism that incorporates modules to convert the group of devices connected by different protocols into a unified data model. We develop a prototype building OS platform using Eclipse Ditto to evaluate the proposed model and mechanism. We confirm that the platform can correctly manage device information and that its performance is sufficient.
DC.rights	© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
DC.format	98234
citation_title	Proposal of a Scalable Building Operating System Architecture and Data Model Toward Software-Defined Building
citation_author	Owaki, Koichi
	Yamamoto, Matsuki
	Techasarntikul Nattaon
	Ohsita, Yuichi
	Shimonishi, Hideyuki
	Higashioka, Kouki
	Toshima, Yoshihisa
	Ogura, Takanori
	Shimojo, Shinji
citation_publisher	Institute of Electrical and Electronics Engineers Inc.
citation_language	English
citation_date	2024-07-02
citation_journal_title	Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024
citation_firstpage	1586
citation_lastpage	1591
citation_doi	https://doi.org/10.1109/COMPSAC61105.2024.00249
citation_public_url	https://hdl.handle.net/11094/98234

Proposal of a Scalable Building Operating System Architecture and Data Model Toward Software-Defined Building

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