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.
2025
2025 33rd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2025
33rd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2025
Split, hrv
2025
Bucciero, Alberto; Castellini, Marta; Chirivì, Alessandra; Colella, Riccardo; Conti, Alessandro; Emara, Mohamed; Fiorini, Lidia; Greco, Matteo; Ali Ja...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1453003
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