An IoT-based Wireless Sensor Network for Lighting Control Systems DOI
Paola Pierleoni, Alberto Belli, Lorenzo Palma

и другие.

2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Год журнала: 2022, Номер unknown, С. 1 - 6

Опубликована: Сен. 12, 2022

The fifth industrial revolution brings the focus to well-being, sustainability, and resilient human-centric manufacturing systems. To this end, quality quantity of light in work environment plays a fundamental role for management human body's circadian clock, hence psychophysical well-being worker. In we propose lighting control system based on wireless sensor network able realize an architecture fully compliant Internet Things requirements, inclusive focused worker's physical mental well-being. particular, ad-hoc node with suitable interface has been developed interoperate standard systems extend their functionality remote monitoring through web platform. proposed solution tested critical scenario such as one which performance analyzed terms Round Trip Time, packet loss goodput. obtained results show that value is its versatility scalability relatively number density nodes, typology sensing units.

Язык: Английский

Human-building interaction for indoor environmental control: Evolution of technology and future prospects DOI

Hakpyeong Kim,

Hyuna Kang,

Heeju Choi

и другие.

Automation in Construction, Год журнала: 2023, Номер 152, С. 104938 - 104938

Опубликована: Май 18, 2023

Язык: Английский

Процитировано

28

A systematic review of reinforcement learning application in building energy-related occupant behavior simulation DOI
Hao Yu, Vivian W.Y. Tam, Xiaoxiao Xu

и другие.

Energy and Buildings, Год журнала: 2024, Номер 312, С. 114189 - 114189

Опубликована: Апрель 20, 2024

Язык: Английский

Процитировано

13

Spatial efficiency: An outset of lighting application efficacy for indoor lighting DOI Creative Commons
Parisa Mahmoudzadeh, Wenye Hu, Wendy Davis

и другие.

Building and Environment, Год журнала: 2024, Номер 255, С. 111409 - 111409

Опубликована: Март 22, 2024

Electric lighting plays a critical role in buildings, not only impacting the well-being, satisfaction, and performance of building occupants but also accounting for significant portion energy consumption. The commonly used efficiency metrics lighting, such as luminous efficacy or power density, fall short quantifying effective light architectural spaces. To address shortcomings existing measures, application that characterizes efficient delivery from source to target should be utilized. Lighting can account efficiencies temporal, electrical, visual, spatial dimensions. This study outlines method quantify electric buildings. As proof concept, simulated data are analyzed two targets (horizontal work plane level occupant field view) based on primary characteristics built environment systems. findings indicate design variables (e.g., room size, luminaire distribution type, reflectance surfaces, significantly affect specified settings. Therefore, values exhibit considerable variation among distinct systems spaces customized suit unique requirements each setting. Future research will investigate establish complementary components framework.

Язык: Английский

Процитировано

7

An automated control of daylight blinds and artificial lighting integrated scheme for therapeutic use DOI
Yaodong Chen, Yudong Guo, Qiuping Liu

и другие.

Journal of Building Engineering, Год журнала: 2023, Номер 73, С. 106851 - 106851

Опубликована: Май 16, 2023

Язык: Английский

Процитировано

10

Natural light control to improve awakening quality DOI Creative Commons
Xiaorui Wang, Yangcheng Gu, Jihui Yuan

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 112733 - 112733

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Interior luminous environment for the elderly: recommended values of lighting parameters and comfort discriminant model DOI
Lun Che, Jiuhong Zhang,

Jingdong Liu

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 112787 - 112787

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Building for Human Experiences: An In-depth Exploration of Human-Centric Design DOI Creative Commons
Rana Asad Javid Khan, Jason Lucas

Journal of Building Engineering, Год журнала: 2025, Номер unknown, С. 112493 - 112493

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

From needs to control: a review of indicators and sensing technologies for occupant-centric smart lighting systems DOI
Yuxiao Wang, Xin Zhang, Hongwei Chen

и другие.

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115740 - 115740

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

The impact of space design on occupants' satisfaction with indoor environment in university dormitories DOI
Zhao Dong, Kang Zhao, Mengyu Ren

и другие.

Building and Environment, Год журнала: 2022, Номер 218, С. 109143 - 109143

Опубликована: Апрель 26, 2022

Язык: Английский

Процитировано

15

Adaptive museum lighting using CNN-based image segmentation DOI Creative Commons
Jeroen Cerpentier, Nick Rondelez, Nathan Slembrouck

и другие.

Building and Environment, Год журнала: 2023, Номер 242, С. 110552 - 110552

Опубликована: Июнь 22, 2023

Modern smart lighting systems have the potential to improve conditions by employing adaptive dimming. However, light intensity pattern of individual luminaires is often not optimally matching with region(s) interest. By using fixtures a tunable radiation pattern, much more targeted illumination can be enabled. The already demonstrated are typically quite bulky, and require user input optimize emitted light. In this paper, compact fixture proposed that consists high-power LED, sequence lenses, an adjustable mirror diffuser, achieve functionality. This luminaire integrated embedded system camera, realize autonomous beam adjustment based on computer vision in museum setting. performs semantic segmentation detect painting masks, adapts direction spot size detected frame via feedback loop. considered as first demonstration integration between state-of-the-art for indoor lighting.

Язык: Английский

Процитировано

9