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291874

Improving Citizens’ Health in Underground Public Interior Spaces Through AI Powered Green Walls

Article

Last updated: 28 Dec 2024

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Subjects

-

Tags

Architecture Engineering

Abstract

 In almost 600 BC, the Green Walls concept was presented. Most of the
previous research has proved that the use of green walls in different types of
interior spaces has its considerable merits in improving users' overall health and
productivity. Interior Designers seem reluctant to integrate green walls in
underground spaces due to its drawbacks as one of the most expensive man-made
walls, needing scheduled water requirements, and its susceptibility to adversities
such as fungi growth.
The current study offers an intelligent solution predicting the performance
of self-sustainable green wall systems improving underground air quality. The
system is mitigating the issue of the green wall's short life span. The
sustainability of green walls and air quality in underground interior spaces is
investigated by applying IoT and AI technologies.  Results of the present work show that different Random forests which an
example of an ensemble learner built on decision trees. The Decision trees are
extremely intuitive ways to classify or label objects models were generated
compared and evaluated for accuracy and sensitivity. These Models were built
simulating IOT-based-Air quality monitoring systems integrated with selfsustainable green walls. The Datasets selected included features like temperature
close to that of the targeted public interior spaces like underground stations in
Egypt. Predicting underground air quality has been conducted by indicating predefined parameters such as PM and CO. These results can evolve in the near
future, enabling decision-making systems to predict the performance of similar
self-sustainable multi-purpose green walls in maintaining underground space air
quality..

DOI

10.21608/msaeng.2023.291874

Keywords

AI-IOT systems, Air Quality, Public interior spaces, Sustainable green wall

Authors

First Name

Nora

Last Name

Shaheen

MiddleName

Hany

Affiliation

October University for Modern Sciences and Arts

Email

nshaheen@msa.edu.eg

City

Giza

Orcid

-

First Name

Sarah

Last Name

Nabih

MiddleName

-

Affiliation

Faculty of Arts and Design, October University for Modern Sciences and Arts

Email

snabih@msa.edu.eg

City

-

Orcid

-

First Name

Ghada

Last Name

Abdelmouez

MiddleName

-

Affiliation

GSE, Faculty of Engineering, October University for Modern Sciences and Arts, Giza, Egypt

Email

gabdelmouez@msa.edu.eg

City

-

Orcid

-

Volume

2

Article Issue

2

Related Issue

40382

Issue Date

2023-03-01

Receive Date

2023-03-23

Publish Date

2023-03-01

Page Start

289

Page End

318

Print ISSN

2812-5339

Online ISSN

2812-4928

Article File

MSAENG_Volume 2_Issue 2_Pages 289-318.pdf

PDF . 1.5MB

Link

https://msaeng.journals.ekb.eg/article_291874.html

Detail API

https://msaeng.journals.ekb.eg/service?article_code=291874

Order

291,874

Type

Original Article

Type Code

2,183

Publication Type

Journal

Publication Title

MSA Engineering Journal

Publication Link

https://msaeng.journals.ekb.eg/

MainTitle

Improving Citizens’ Health in Underground Public Interior Spaces Through AI Powered Green Walls

Details

Type

Article

Created At

28 Dec 2024