This paper presents the deployment and evaluation of the SENNSE platform, an IoT-based solution combining distributed environmental sensors and 3D digital twin integration. SENNSE was implemented in the Grotta degli Animali, a semiconfined 16th-century grotto in Florence, Italy. The platform continuously monitored temperature, humidity, enabling spatially contextualized data analysis through immersive visualization. Exploratory analysis revealed zone-specific microclimatic responses, and there were remarkable humidity responses to water activation in the Lion tub, emphasizing the need for adaptive, localized conservation measures. SENNSE demonstrates how real-time sensing, linked to interactive spatial models, can enhance conservation decision-making and support proactive heritage management.
Real-Time Environmental Monitoring in Historical Semiconfined Spaces: A Case Study of the SENNSE IoT Deployment in Florence / Bucciero, Alberto; Castellini, Marta; Chirivì, Alessandra; Colella, Riccardo; Conti, Alessandro; Emara, Mohamed; Fiorini, Lidia; Greco, Matteo; Ali Jaziri, Mohamed; Metrangolo, Mariacristina; Muci, Irene; Najafiragheb, Noushin; Pandurino, Andrea; Riminesi, Cristiano; Santo Sabato, Stefano; Valentino Taurino, Francesco; Tucci, Grazia; Zecca, Davide. - ELETTRONICO. - (2025), pp. 1-7. ( 33rd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2025 Split, hrv 2025) [10.23919/softcom66362.2025.11197355].
Real-Time Environmental Monitoring in Historical Semiconfined Spaces: A Case Study of the SENNSE IoT Deployment in Florence
Castellini, Marta;Conti, Alessandro;Fiorini, Lidia;Riminesi, Cristiano;Tucci, Grazia;
2025
Abstract
This paper presents the deployment and evaluation of the SENNSE platform, an IoT-based solution combining distributed environmental sensors and 3D digital twin integration. SENNSE was implemented in the Grotta degli Animali, a semiconfined 16th-century grotto in Florence, Italy. The platform continuously monitored temperature, humidity, enabling spatially contextualized data analysis through immersive visualization. Exploratory analysis revealed zone-specific microclimatic responses, and there were remarkable humidity responses to water activation in the Lion tub, emphasizing the need for adaptive, localized conservation measures. SENNSE demonstrates how real-time sensing, linked to interactive spatial models, can enhance conservation decision-making and support proactive heritage management.| File | Dimensione | Formato | |
|---|---|---|---|
|
Real-Time_Environmental_Monitoring_in_Historical_Semiconfined_Spaces_A_Case_Study_of_the_SENNSE_IoT_Deployment_in_Florence.pdf
Accesso chiuso
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Tutti i diritti riservati
Dimensione
2.48 MB
Formato
Adobe PDF
|
2.48 MB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



