Intelligent Monitoring and Visualization System for High Building Nighttime Utilization Based on Image Processing DOI Creative Commons
Yuanrong He,

Xianhui Yu,

Qihao Liang

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(21), P. 6793 - 6793

Published: Oct. 22, 2024

The rise of complex high-rise buildings has made building management increasingly challenging, especially the nighttime supervision university laboratories. Idle occupation increases risk accidents and undermines campus sustainability. Effective occupancy detection is essential for optimizing safety energy efficiency. Environmental sensors offer limited coverage are costly, making them unsuitable campuses. Surveillance cameras, as part infrastructure, provide wide coverage. On this basis, we designed a algorithm that uses light brightness to assess use. Experimental results showed achieves an average accuracy 98.67%, enabling large-scale without need installing additional sensors, significantly improving efficiency management. In addition, address limitations indoor space representation in geographic information system (GIS) models, paper developed comprehensive 3D GIS model based on "building-floor-room" hierarchical structure, utilizing oblique photogrammetry laser scanning technology. This study combined with real-world data visualization, providing new perspective spatiotemporal refinement buildings, reference framework analysis other types environments.

Language: Английский

Enhancing Space Management through Digital Twin: A Case Study of the Lazio Region Headquarters DOI Creative Commons
Giuseppe Piras, Francesco Muzi, Virginia Adele Tiburcio

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7463 - 7463

Published: Aug. 23, 2024

Digital Twin is becoming an increasingly powerful resource in the field of building production, replacing traditional processes Architecture, Engineering, Construction and Operations sector. This study concerned with development a DT, enabled by Building Information Modeling, artificial intelligence, machine learning, Internet Things to implement space management strategies. It proposes application case for Lazio Region headquarters, which has partly adopted smart working typology post-COVID-19. The aim create accurate digital replica based on BIM, integrated real-time data. will help improve use space, resources, quality services provided community. also improves energy efficiency, reducing consumption 530.40 MWh per year greenhouse gas emissions 641.32 tons CO2 year. research holistic framework implementation innovative solutions context public infrastructure through technology, facilitating promotion efficiency sustainability decision-making operational methodology.

Language: Английский

Citations

10
Review of Challenges and Key Enablers in Energy Systems towards Net Zero Target: Renewables, Storage, Buildings, & Grid Technologies. DOI Creative Commons

Malcolm Isaac Fernandez,

Yun Ii Go, M. L. Dennis Wong

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40691 - e40691

Published: Nov. 26, 2024

Language: Английский

Citations

9
Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters DOI Creative Commons
Sakib Mahmud, Fayçal Bensaali, Muhammad E. H. Chowdhury

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112635 - 112635

Published: Jan. 1, 2025

Language: Английский

Citations

0
Modeling and Prediction of Occupancy in Buildings Based on Sensor Data Using Deep Learning Methods DOI Creative Commons
Georgiana Cretu, Iulia Stamatescu, Grigore Stâmâtescu

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 102994 - 103003

Published: Jan. 1, 2024

Accurate modelling and prediction of indoor occupancy can lead to efficient optimization control building energy consumption. This research uses indirect ambient sensor measurements heterogeneous data types, together with state the art techniques for data-driven based on deep neural networks architectures, estimating occupancy. The methodology steps include input variable selection, comprehensive pre-processing, implementation several models using convolutional networks, fully connected long short-term memory models, evaluation a reference public dataset. Various design parametrisation options are investigated in dual formulation, as both classification regression problem. An application work consists accurate estimations, measured standardised metrics, that be subsequently used predictive framework. One main finding study shows approach, which categorizes coarse-grained levels, performed better than fine-grained approach terms accuracy robustness. A five-sensor model 94% is reported, while equivalent value stands at 80% Mean Squared Error (MSE) indicator 0.1934.

Language: Английский

Citations

1
Intelligent Monitoring and Visualization System for High Building Nighttime Utilization Based on Image Processing DOI Creative Commons
Yuanrong He,

Xianhui Yu,

Qihao Liang

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(21), P. 6793 - 6793

Published: Oct. 22, 2024

The rise of complex high-rise buildings has made building management increasingly challenging, especially the nighttime supervision university laboratories. Idle occupation increases risk accidents and undermines campus sustainability. Effective occupancy detection is essential for optimizing safety energy efficiency. Environmental sensors offer limited coverage are costly, making them unsuitable campuses. Surveillance cameras, as part infrastructure, provide wide coverage. On this basis, we designed a algorithm that uses light brightness to assess use. Experimental results showed achieves an average accuracy 98.67%, enabling large-scale without need installing additional sensors, significantly improving efficiency management. In addition, address limitations indoor space representation in geographic information system (GIS) models, paper developed comprehensive 3D GIS model based on "building-floor-room" hierarchical structure, utilizing oblique photogrammetry laser scanning technology. This study combined with real-world data visualization, providing new perspective spatiotemporal refinement buildings, reference framework analysis other types environments.

Language: Английский

Citations

0