The Intelligent Built-Environment as Cyber-Physical System

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This thesis presents an alternative approach to intelligence in the built-environment, departing from the two established yet divergent branches in the discourse: the Technical, centered around Information and Communication Technologies (ICTs), and represented by Ambient Intelligence (AmI) and Ambient Assisted Living (AAL); and the Architectural, centered around architectural / spatial experiences and considerations, and represented by Interactive Architecture and Adaptive Architecture. The promise of both AmI/AAL and IA/AA is constrained by rigid and increasingly outdated assumptions in their approaches—i.e., AmI’s / AAL’s approach to the built-environment, and IA’s / AA’s approach to ICTs. Moreover, it is impossible to combine them to yield a cohesive system due to disparity in their typical Technology Readiness Levels. That is, the sophistication of a system depends on that of its mutually complementing subsystems; and two or more subsystems may not mutually complement, sustain, and/or support one another if their levels of development do not correspond. Consequently, the presented alternative conceives the intelligent built-environment as a Cyber- Physical System. Under this approach, ICTs and Architectural considerations in conjunction instantiate intelligence fundamentally. The presented approach’s promise is illustrated via its application to a constrained use-case focused on the elderly. Twelve proof-of-concept demonstrators are developed based on key parameters pertaining to Indoor Environmental Quality and Quality of Life. While each demonstrator is presented as a discrete proof-of-concept, all build on the same core System Architecture and technological ecosystem, and are intended to be viewed as a collection of systems and services expressed within a same hypothetical environment.

Highlights

  • This thesis reconsiders intelligence in the built-environment

  • With respect to the technical, Ambient Intelligence (AmI) was coined in the late 90s to describe a cohesive vision of a future digital living room, a built-environment whose computing hardware and software technology imbued its dwelling space with serviceable intelligence to the benefit of its occupant(s) [8]

  • The lack of mutual-complementarity, with respect to enabling technologies both in terms of Information and Communication Technologies (ICTs) as well as Architecture technologies, within the ICTs Technical branch and the Architectural branch prevents each from becoming a robust approach for effective intelligent builtenvironments

Read more Highlights Expand/Collapse icon

Summary

Demonstrator Environments 79Expand/Collapse icon

Tangible / Descript—or Architecture-specific 4.1.1 Hyperbody: Transformable Architecture (fragment) 4.1.2 Hyperbody: Protospace 4.0 (fragment) 83 4.1.3 Robotic Building: Intelligent Architectural Components (fragment) 4.1.4 Robotic Building: Student housing (fragment). Intangible / Non-descript—or Architecture-agnostic 89 4.2.1 The Virtual as placeholder Digital Twin 4.2.2 The Non-Descript Environment as indicative of Architecture-independence

Demonstrators 91Expand/Collapse icon
Development of a Smart Sleeve Control Mechanism for Active AssistedExpand/Collapse icon
247 BibliographyExpand/Collapse icon
Demonstrator implementations in relation to (1)Expand/Collapse icon
Left-TopExpand/Collapse icon
Top: Typical node: (1) Air-quality sensors: MQ-3 Alcohol or MQ-4 Methane or MQ-7Expand/Collapse icon
5.13 System diagram and Smart Sleeve description 140Expand/Collapse icon
SummaryExpand/Collapse icon
25 Summary TOCExpand/Collapse icon
29 Samenvatting TOCExpand/Collapse icon
IntroductionExpand/Collapse icon
33 IntroductionExpand/Collapse icon
Background6Expand/Collapse icon
State of the ArtExpand/Collapse icon
Two main branches within the Intelligent Built-Environment discourseExpand/Collapse icon
The Architectural branchExpand/Collapse icon
The problem with force-merging branchesExpand/Collapse icon
Theory and ConceptExpand/Collapse icon
The Intelligent Built-Environment as Cyber-Physical System (CPS)Expand/Collapse icon
Indoor Environmental Quality (IEQ)Expand/Collapse icon
Quality of Life (QoL)Expand/Collapse icon
Enabling Technologies27Expand/Collapse icon
Design MethodologyExpand/Collapse icon
Wireless Sensor and Actuator Networks (WSANs / WSNs)Expand/Collapse icon
Body Area Networks (BANs)Expand/Collapse icon
A System ArchitectureExpand/Collapse icon
Demonstrator EnvironmentsExpand/Collapse icon
79 Demonstrator Environments TOCExpand/Collapse icon
Physical / Tangible / Descript—or Architecture-specificExpand/Collapse icon
HyperbodyExpand/Collapse icon
Robotic BuildingExpand/Collapse icon
The Virtual as placeholder Digital TwinExpand/Collapse icon
The Non-Descript Environment as indicative of ArchitectureindependenceExpand/Collapse icon
DemonstratorsExpand/Collapse icon
91 Demonstrators TOCExpand/Collapse icon
KEY RESULTSExpand/Collapse icon
Three sensor scenariosExpand/Collapse icon
A High-Resolution IntelligenceExpand/Collapse icon
Dynamic Clustering mechanismExpand/Collapse icon
A Predetermined ScenariosExpand/Collapse icon
B Non-predetermined ScenarioExpand/Collapse icon
Intervention via SMS and email notification mechanismsExpand/Collapse icon
C Closed-loop Runtime Including New Modified ScenarioExpand/Collapse icon
Integration of aExpand/Collapse icon
Bluetooth Low Energy (BLE) Wearable nodeExpand/Collapse icon
MQ-4 Air-Quality sensorExpand/Collapse icon
DHT-22 Temperature and Humidity sensorExpand/Collapse icon
Rotary Illumination overrideExpand/Collapse icon
Rotary Ventilation overrideExpand/Collapse icon
Notification BuzzerExpand/Collapse icon
LED-bar “Air-Quality in personal space” notificationExpand/Collapse icon
Deep Learning Object-Recognition in a Design-to-Robotic-Production and -Operation (D2RP&O) Implementation51Expand/Collapse icon
Human-centered eventExpand/Collapse icon
KEY RESULTS PURPOSE PERTINENCEExpand/Collapse icon
BAN and WSN aspectsExpand/Collapse icon
Actions: slide a window, swing a door, and regulate the intensity of a light-sourceExpand/Collapse icon
Development of a Light-Tracking and -Redirecting System Actuated by Hand-Gesture Recognition54Expand/Collapse icon
Light-tracking Modules and systemExpand/Collapse icon
Hand-Gesture Recognition MechanismExpand/Collapse icon
Actuation Confirmation and Negation via Facial-Identity and -Expression Recognition58Expand/Collapse icon
Development of an Eye- and Gaze-Tracking Mechanism in an Active and Assisted Living Ecosystem59Expand/Collapse icon
Eye- and Gaze-Tracking for Object ActuationExpand/Collapse icon
Eye- and Gaze-Tracking for Human Identity RecognitionExpand/Collapse icon
5.10 Development of An Adaptive Staircase System Actuated by Facial-, Object-, and Voice-Recognition62Expand/Collapse icon
5.10.1 Computational componentExpand/Collapse icon
5.10.2 Mechanical componentExpand/Collapse icon
5.11 Development of an Acoustically Adaptive Modular System for Near Real-Time Clarity-Enhancement63Expand/Collapse icon
5.11.1 Parametric SetupExpand/Collapse icon
5.11.2 Physical / Mechanical Component: Acoustically Adaptive ModulesExpand/Collapse icon
5.11.3 Computational ComponentExpand/Collapse icon
5.12 Development of an Adaptive RainwaterHarvesting System for Intelligent Selective Redistribution64Expand/Collapse icon
5.12.1 Cyber-Physical SetupExpand/Collapse icon
ConclusionsExpand/Collapse icon
Overview and OutlookExpand/Collapse icon
LimitationsExpand/Collapse icon
247 Appendix TOCExpand/Collapse icon
A With respect to IEQExpand/Collapse icon
FindingsExpand/Collapse icon
B With respect to QoLExpand/Collapse icon
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Women's environmental quality of life is key to their overall quality of life and health: Global evidence from the WHOQOL-100.
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Gender inequalities in health-related quality of life (QoL) are generally few and small, even in large surveys. Many generic measures limit assessment to QoL overall and its physical and psychological dimensions, while overlooking internationally important environmental, social, and spiritual QoL domains. Unique cross-cultural legacy data was collected using four WHOQOL-100 surveys of adults living in 43 cultures world-wide (17,608 adults; ages 15-101). It was first used to examined gender profiles of its five QoL international domains, and their component facets. Few significant gender differences (p < .001) were found. Women reported higher spiritual QoL than men on faith, and spiritual connection facets specifically. Men reported higher physical and psychological QoL domains than women. We aimed to identify those QoL dimensions that contribute to women's overall QoL in health, as this information could inform gender inequalities interventions in health. Environmental QoL explained a substantial 46% of women's overall QoL and health (n = 5,017; 17 cultures) (stepwise multiple regression adjusted for age, education, and marital status covariates). Five environmental QoL facets contributed significantly to this result; home environment offered most explanation. Age band analysis was conducted to understand when interventions might be best timed in the lifespan to improve women's QoL. Younger women (< 45 years) reported the poorest QoL across the lifetime, and on every domain. After 45, all domains except physical QoL increased to very good at about 60, and high levels were sustained beyond 75, especially environmental QoL. Global findings show that assessing environmental, social, and spiritual QoL domains are key to fully understanding women's QoL and health. These assessments should be prioritized in surveys that aim to improve international conservation, and public health policies.

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  • Architecture and the Built Environment
  • Li Lu

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  • Research Article
  • 10.59490/abe.2023.06.6976
Towards a Better-Functioning Private Rented Sector in Metropolitan China
  • Jan 1, 2023
  • Architecture and the Built Environment
  • Bo Li

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  • 10.59490/abe.2022.21.6875
Beyond good intentions
  • Jan 1, 2023
  • Architecture and the Built Environment
  • Joana Dos Santos Gonçalves

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  • 10.59490/abe.2023.11.7061
Facades-as-a-Service
  • Jan 1, 2023
  • Architecture and the Built Environment
  • Juan F Azcárate-Aguerre

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