How to Embed AI Applications of Building Management System in Campus Management

C. H. Li; H. Y. Yuen; T. T. Lee; W. F. Tang; C. C. Lee; C. Ng; S. L. Mak

doi:10.1007/978-981-99-8031-4_35

How to Embed AI Applications of Building Management System in Campus Management

C. H. Li
, H. Y. Yuen
, T. T. Lee
, W. F. Tang
, C. C. Lee
, C. Ng
, S. L. Mak

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Artificial Intelligence (AI) is widely embedded in Building Management System (BMS). Data collected from different sensors and records are fed into AI algorithms like linear regression and Support Vector Machines (SVM). These models help to optimize management of building facilities, thus optimizing energy consumption, enhancing security, and cutting management costs. Despite AI has been successfully adopted in government buildings, shopping malls, and housing neighborhoods, the technology adoption in campus is seldom studied. Building on the existing technological approaches, this paper extensively investigates the needs of campus management in the post-pandemic period. By reviewing current applications of different commercially available BMS with embed AI, further adoption of this technology in campus management is explored. The review showed that embedded AI applications of BMS can provide solutions fit for managing academic campuses in the post-pandemic era, which is worth further studying.

Original language	English
Title of host publication	Intelligent Sustainable Systems - Selected Papers of WorldS4 2023
Editors	Atulya K. Nagar, Dharm Singh Jat, Durgesh Mishra, Amit Joshi
Pages	403-411
Number of pages	9
DOIs	https://doi.org/10.1007/978-981-99-8031-4_35
Publication status	Published - 2024
Event	World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2023 - London, United Kingdom Duration: 21 Aug 2023 → 24 Aug 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	812
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2023
Country/Territory	United Kingdom
City	London
Period	21/08/23 → 24/08/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Academic campus
Artificial intelligence (AI)
Building management (BMS)
Campus management

Access to Document

10.1007/978-981-99-8031-4_35

Cite this

Li, C. H., Yuen, H. Y., Lee, T. T., Tang, W. F., Lee, C. C., Ng, C., & Mak, S. L. (2024). How to Embed AI Applications of Building Management System in Campus Management. In A. K. Nagar, D. S. Jat, D. Mishra, & A. Joshi (Eds.), Intelligent Sustainable Systems - Selected Papers of WorldS4 2023 (pp. 403-411). (Lecture Notes in Networks and Systems; Vol. 812). https://doi.org/10.1007/978-981-99-8031-4_35

@inproceedings{8c8573c4bbb84eb2ba4b2611883f2b9f,

title = "How to Embed AI Applications of Building Management System in Campus Management",

abstract = "Artificial Intelligence (AI) is widely embedded in Building Management System (BMS). Data collected from different sensors and records are fed into AI algorithms like linear regression and Support Vector Machines (SVM). These models help to optimize management of building facilities, thus optimizing energy consumption, enhancing security, and cutting management costs. Despite AI has been successfully adopted in government buildings, shopping malls, and housing neighborhoods, the technology adoption in campus is seldom studied. Building on the existing technological approaches, this paper extensively investigates the needs of campus management in the post-pandemic period. By reviewing current applications of different commercially available BMS with embed AI, further adoption of this technology in campus management is explored. The review showed that embedded AI applications of BMS can provide solutions fit for managing academic campuses in the post-pandemic era, which is worth further studying.",

keywords = "Academic campus, Artificial intelligence (AI), Building management (BMS), Campus management",

author = "Li, \{C. H.\} and Yuen, \{H. Y.\} and Lee, \{T. T.\} and Tang, \{W. F.\} and Lee, \{C. C.\} and C. Ng and Mak, \{S. L.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2023 ; Conference date: 21-08-2023 Through 24-08-2023",

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doi = "10.1007/978-981-99-8031-4\_35",

language = "English",

isbn = "9789819980307",

series = "Lecture Notes in Networks and Systems",

pages = "403--411",

editor = "Nagar, \{Atulya K.\} and Jat, \{Dharm Singh\} and Durgesh Mishra and Amit Joshi",

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}

Li, CH, Yuen, HY, Lee, TT, Tang, WF , Lee, CC , Ng, C & Mak, SL 2024, How to Embed AI Applications of Building Management System in Campus Management. in AK Nagar, DS Jat, D Mishra & A Joshi (eds), Intelligent Sustainable Systems - Selected Papers of WorldS4 2023. Lecture Notes in Networks and Systems, vol. 812, pp. 403-411, World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2023, London, United Kingdom, 21/08/23. https://doi.org/10.1007/978-981-99-8031-4_35

How to Embed AI Applications of Building Management System in Campus Management. / Li, C. H.; Yuen, H. Y.; Lee, T. T. et al.
Intelligent Sustainable Systems - Selected Papers of WorldS4 2023. ed. / Atulya K. Nagar; Dharm Singh Jat; Durgesh Mishra; Amit Joshi. 2024. p. 403-411 (Lecture Notes in Networks and Systems; Vol. 812).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, C. H.

AU - Yuen, H. Y.

AU - Lee, T. T.

AU - Tang, W. F.

AU - Lee, C. C.

AU - Ng, C.

AU - Mak, S. L.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - Artificial Intelligence (AI) is widely embedded in Building Management System (BMS). Data collected from different sensors and records are fed into AI algorithms like linear regression and Support Vector Machines (SVM). These models help to optimize management of building facilities, thus optimizing energy consumption, enhancing security, and cutting management costs. Despite AI has been successfully adopted in government buildings, shopping malls, and housing neighborhoods, the technology adoption in campus is seldom studied. Building on the existing technological approaches, this paper extensively investigates the needs of campus management in the post-pandemic period. By reviewing current applications of different commercially available BMS with embed AI, further adoption of this technology in campus management is explored. The review showed that embedded AI applications of BMS can provide solutions fit for managing academic campuses in the post-pandemic era, which is worth further studying.

AB - Artificial Intelligence (AI) is widely embedded in Building Management System (BMS). Data collected from different sensors and records are fed into AI algorithms like linear regression and Support Vector Machines (SVM). These models help to optimize management of building facilities, thus optimizing energy consumption, enhancing security, and cutting management costs. Despite AI has been successfully adopted in government buildings, shopping malls, and housing neighborhoods, the technology adoption in campus is seldom studied. Building on the existing technological approaches, this paper extensively investigates the needs of campus management in the post-pandemic period. By reviewing current applications of different commercially available BMS with embed AI, further adoption of this technology in campus management is explored. The review showed that embedded AI applications of BMS can provide solutions fit for managing academic campuses in the post-pandemic era, which is worth further studying.

KW - Academic campus

KW - Artificial intelligence (AI)

KW - Building management (BMS)

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T2 - World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2023

Y2 - 21 August 2023 through 24 August 2023

ER -

How to Embed AI Applications of Building Management System in Campus Management

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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