Overview of Sensing and Data Processing Technologies for Smart Building Services and Applications DOI Open Access

Hamza Elkhoukhi,

Abdellatif Elmouatamid, Achraf Haibi

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4029 - 4029

Published: April 29, 2025

Internet of things (IoT) and big data technologies are increasingly gaining significance in the implementation various services applications. Consequently, much research focused on energy efficiency building management revolves around integrating IoT for collection processing. Occupancy detection, comfort, most important optimizing consumption smart buildings, environmental play a key role improving these services. Furthermore, integration advanced recent techniques, such as IoT, data, machine learning, is progressively becoming more vital both researchers industries. This paper presents discusses emerging that will contribute to designing novel IoT-based architectures improve These offer innovative solutions address challenges interoperability, scalability, real-time processing within intelligent environments, paving way efficient, adaptive, user-centric systems. The main aim this help define an optimal architecture all layers, from sensing stream We established comparative criteria between popular techniques select appropriate framework developing platforms managing services, occupancy detection systems occupants’ comfort management, further, enhance deployment digital twins critical environment monitoring anomaly detection. proposed uses Apache Kafka, Storm, SAMOA its core components, creating comprehensive platform efficient collection, monitoring, with high performance terms fault tolerance low latency.

Language: Английский

Overview of Sensing and Data Processing Technologies for Smart Building Services and Applications DOI Open Access

Hamza Elkhoukhi,

Abdellatif Elmouatamid, Achraf Haibi

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4029 - 4029

Published: April 29, 2025

Internet of things (IoT) and big data technologies are increasingly gaining significance in the implementation various services applications. Consequently, much research focused on energy efficiency building management revolves around integrating IoT for collection processing. Occupancy detection, comfort, most important optimizing consumption smart buildings, environmental play a key role improving these services. Furthermore, integration advanced recent techniques, such as IoT, data, machine learning, is progressively becoming more vital both researchers industries. This paper presents discusses emerging that will contribute to designing novel IoT-based architectures improve These offer innovative solutions address challenges interoperability, scalability, real-time processing within intelligent environments, paving way efficient, adaptive, user-centric systems. The main aim this help define an optimal architecture all layers, from sensing stream We established comparative criteria between popular techniques select appropriate framework developing platforms managing services, occupancy detection systems occupants’ comfort management, further, enhance deployment digital twins critical environment monitoring anomaly detection. proposed uses Apache Kafka, Storm, SAMOA its core components, creating comprehensive platform efficient collection, monitoring, with high performance terms fault tolerance low latency.

Language: Английский

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