2016
Software
Metadata Only Access
CC2530 Firmware for environmental monitoring in smart building application
Mavilia F
Source files, drivers and hex files for energy and environmental monitoring of buildings in distributed wireless sensor networks.
Mavilia F
Source files, drivers and hex files for energy and environmental monitoring of buildings in distributed wireless sensor networks.
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CNR IRIS 
2016
Software
Metadata Only Access
Project files of two electronic boards for environmental monitoring in smart building application
Mavilia F
Schematic, footprints and tracks design, gerber files of two electronic boards for energy and environmental monitoring of buildings in distributed wireless sensor networks
Mavilia F
Schematic, footprints and tracks design, gerber files of two electronic boards for energy and environmental monitoring of buildings in distributed wireless sensor networks
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CNR IRIS
2018
Other
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Sviluppo di un componente software per l'identificazione real-time di interazioni sociali attraverso dati provenienti da smartphone
Silvestri F., Bigi G., Mavilia F.
Il lavoro è suddiviso in tre parti. La prima riguarda la progettazione e l'implementazione di un web-server che offre principalmente due servizi: un servizio per il salvataggio di dati e un servizio per la consultazione dei dati. Il web-server evita che i dati salvati dai device debbano essere scaricati manualmente per essere analizzati. Con l'aggiunta di questa componente, i device dopo aver raccolto un certo numero di dati creano un le contenente questi ultimi e lo inviano al web-server che si occupa di salvare i dati ricevuti in un database. Questi dati salvati sono accessibili mediante richiesta al web-server che se interrogato si occupa di restituire i dati richiesti. La seconda fase del mio tirocinio ha riguardato una campagna per la raccolta dati. Seguendo uno schema dato dal mio tutore aziendale io e un altro tirocinante abbiamo simulato interazioni sociali. Questi dati raccolti sono stati necessari alla terza fase del mio tirocinio, l'analisi dei dati salvati. Modicando un algoritmo scritto da ricercatori dell'istituto ISTI del CNR di Pisa ho sviluppato un programma che periodicamente interroga il database, e analizza i dati ricevuti per riscontrare interazioni sociali. Di questa analisi, nel proseguo della relazione, saranno presenti graci che mostrano i risultati ottenuti.
Silvestri F., Bigi G., Mavilia F.
Il lavoro è suddiviso in tre parti. La prima riguarda la progettazione e l'implementazione di un web-server che offre principalmente due servizi: un servizio per il salvataggio di dati e un servizio per la consultazione dei dati. Il web-server evita che i dati salvati dai device debbano essere scaricati manualmente per essere analizzati. Con l'aggiunta di questa componente, i device dopo aver raccolto un certo numero di dati creano un le contenente questi ultimi e lo inviano al web-server che si occupa di salvare i dati ricevuti in un database. Questi dati salvati sono accessibili mediante richiesta al web-server che se interrogato si occupa di restituire i dati richiesti. La seconda fase del mio tirocinio ha riguardato una campagna per la raccolta dati. Seguendo uno schema dato dal mio tutore aziendale io e un altro tirocinante abbiamo simulato interazioni sociali. Questi dati raccolti sono stati necessari alla terza fase del mio tirocinio, l'analisi dei dati salvati. Modicando un algoritmo scritto da ricercatori dell'istituto ISTI del CNR di Pisa ho sviluppato un programma che periodicamente interroga il database, e analizza i dati ricevuti per riscontrare interazioni sociali. Di questa analisi, nel proseguo della relazione, saranno presenti graci che mostrano i risultati ottenuti.
2018
Other
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Acquisizione ed analisi di dati per l'identificazione delle interazioni sociali
Asta M., Chessa S., Mavilia F.
Il lavoro si è concentrato inizialmente sull'implementazione dell'estensione di un modulo software scritto in linguaggio Java, che si occupa della raccolta e gestione dei pacchetti di dati trasmessi dai dispositivi Tag. Per valutare le prestazioni dell'architettura software, sia allo stato iniziale che dopo l'aggiunta dell'estensione del modulo, sono stati configurati vari dispositivi BLE e svolti dei test. Successivamente è stata eseguita una campagna di acquisizione di dati per la realizzazione di test di simulazione di interazioni. Questa è risultata molto importante per definire il dataset utilizzato dall'algoritmo di analisi, implementato nell'ultima fase delprogetto di tirocinio. E' stato realizzato infatti un algoritmo in grado di produrre, a partire dai dati registrati dalle singole stazioni, valori di output che identificano la presenza di interazioni sociali manifestate durante il tempo.
Asta M., Chessa S., Mavilia F.
Il lavoro si è concentrato inizialmente sull'implementazione dell'estensione di un modulo software scritto in linguaggio Java, che si occupa della raccolta e gestione dei pacchetti di dati trasmessi dai dispositivi Tag. Per valutare le prestazioni dell'architettura software, sia allo stato iniziale che dopo l'aggiunta dell'estensione del modulo, sono stati configurati vari dispositivi BLE e svolti dei test. Successivamente è stata eseguita una campagna di acquisizione di dati per la realizzazione di test di simulazione di interazioni. Questa è risultata molto importante per definire il dataset utilizzato dall'algoritmo di analisi, implementato nell'ultima fase delprogetto di tirocinio. E' stato realizzato infatti un algoritmo in grado di produrre, a partire dai dati registrati dalle singole stazioni, valori di output che identificano la presenza di interazioni sociali manifestate durante il tempo.
2013
Other
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Progettazione e analisi di una piattaforma hardware software open per applicazioni Smart Energy: studio preliminare
Mavilia F, Lenzi S
In questo documento descriviamo l'esperienza acquisita durante la fase di progettazione e programmazione di una piattaforma aperta per il monitoraggio energetico basata su reti di sensori wireless. In particolare, l'obiettivo finale e? quello di effettuare uno studio ed analisi dei costi energetici di un complesso di edifici come quello dell'area di ricerca del CNR di Pisa, individuando la collocazione ottimale di sensori wireless all'interno degli immobili per monitorarne il consumo di energia elettrica, sviluppando sensori ad hoc. L'attivita? effettuata, dunque, si e? articolata nei seguenti temi principali che, nel proseguo del documento, saranno esplicati in dettaglio: la scelta della piattaforma hardware, la raccolta dei dati energetici, lo sviluppo di device ZigBee.
Mavilia F, Lenzi S
In questo documento descriviamo l'esperienza acquisita durante la fase di progettazione e programmazione di una piattaforma aperta per il monitoraggio energetico basata su reti di sensori wireless. In particolare, l'obiettivo finale e? quello di effettuare uno studio ed analisi dei costi energetici di un complesso di edifici come quello dell'area di ricerca del CNR di Pisa, individuando la collocazione ottimale di sensori wireless all'interno degli immobili per monitorarne il consumo di energia elettrica, sviluppando sensori ad hoc. L'attivita? effettuata, dunque, si e? articolata nei seguenti temi principali che, nel proseguo del documento, saranno esplicati in dettaglio: la scelta della piattaforma hardware, la raccolta dei dati energetici, lo sviluppo di device ZigBee.
2020
Journal article
Open Access
A bluetooth low energy dataset for the analysis of social interactions with commercial devices
Girolami M, Mavilia F, Delmastro F
This paper describes a data collection campaign and a dataset of BLE beacons for detecting and analysing human social interactions. The dataset has been collected by involving 15 volunteers that interacted in indoor environments for a total of 11 hours of activity. The dataset is released as a collection of CSV files with a timestamp, RSSI (Received Signal Strength Indicator) and a unique identifier of the emitting and of the receiving devices. Volunteers wear a wristband equipped with BLE tags emitting beacons at a fixed rate, and a mobile application able to collect and to store beacons. We organized 6 interaction sessions, designed to reproduce the three common stages of an interaction (Non Interaction, Approaching and Interaction). Moreover, we reproduced interactions by varying the volunteer's posture as well as the position of the receiving device. The dataset is released with a ground truth annotation reporting the exact time intervals during which volunteers actually interacted. The combination of such factors, provides a rich dataset useful to experiment algorithms for detecting interactions and for analyzing dynamics of interactions in a real-world setting. We present in detail the dataset and its evaluation in "Sensing Social Interactions through BLE Beacons and Commercial Mobile Devices", in which we focus on two orthogonal analysis: quality of the dataset and RSSI symmetry of the channel during the interaction stage between pairs of users.Source: DATA IN BRIEF, vol. 32
DOI: 10.1016/j.dib.2020.106102
Metrics:
Girolami M, Mavilia F, Delmastro F
This paper describes a data collection campaign and a dataset of BLE beacons for detecting and analysing human social interactions. The dataset has been collected by involving 15 volunteers that interacted in indoor environments for a total of 11 hours of activity. The dataset is released as a collection of CSV files with a timestamp, RSSI (Received Signal Strength Indicator) and a unique identifier of the emitting and of the receiving devices. Volunteers wear a wristband equipped with BLE tags emitting beacons at a fixed rate, and a mobile application able to collect and to store beacons. We organized 6 interaction sessions, designed to reproduce the three common stages of an interaction (Non Interaction, Approaching and Interaction). Moreover, we reproduced interactions by varying the volunteer's posture as well as the position of the receiving device. The dataset is released with a ground truth annotation reporting the exact time intervals during which volunteers actually interacted. The combination of such factors, provides a rich dataset useful to experiment algorithms for detecting interactions and for analyzing dynamics of interactions in a real-world setting. We present in detail the dataset and its evaluation in "Sensing Social Interactions through BLE Beacons and Commercial Mobile Devices", in which we focus on two orthogonal analysis: quality of the dataset and RSSI symmetry of the channel during the interaction stage between pairs of users.Source: DATA IN BRIEF, vol. 32
DOI: 10.1016/j.dib.2020.106102
Metrics:
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Data in Brief 
| Data in Brief | CNR IRIS | ISTI Repository | Data in Brief | CNR IRIS
2020
Journal article
Open Access
Sensing social interactions through BLE beacons and commercial mobile devices
Girolami M, Mavilia F, Delmastro F
Wearable sensing devices can provide high-resolution data useful to characterise and identify complex human behaviours. Sensing human social interactions through wearable devices represents one of the emerging field in mobile social sensing, considering their impact on different user categories and on different social contexts. However, it is important to limit the collection and use of sensitive information characterising individual users and their social interactions in order to maintain the user compliance. For this reason, we decided to focus mainly on physical proximity and, specifically, on the analysis of BLE wireless signals commonly used by commercial mobile devices. In this work, we present the SocializeME framework designed to collect proximity information and to detect social interactions through heterogeneous personal mobile devices. We also present the results of an experimental data collection campaign conducted with real users, highlighting technical limitations and performances in terms of quality of RSS, packet loss, and channel symmetry, and how they are influenced by different configurations of the user's body and the position of the personal device. Specifically, we obtained a dataset with more than 820.000 Bluetooth signals (BLE beacons) collected, with a total monitoring of over 11?h. The dataset collected reproduces 4 different configurations by mixing two user posture's layouts (standing and sitting) and different positions of the receiver device (in hand, in the front pocket and in the back pocket). The large number of experiments in those different configurations, well cover the common way of holding a mobile device, and the layout of a dyad involved in a social interaction. We also present the results obtained by SME-D algorithm, designed to automatically detect social interactions based on the collected wireless signals, which obtained an overall accuracy of 81.56% and F-score 84.7%. The collected and labelled dataset is also released to the mobile social sensing community in order to evaluate and compare new algorithms.Source: PERVASIVE AND MOBILE COMPUTING (PRINT), vol. 67
DOI: 10.1016/j.pmcj.2020.101198
Metrics:
Girolami M, Mavilia F, Delmastro F
Wearable sensing devices can provide high-resolution data useful to characterise and identify complex human behaviours. Sensing human social interactions through wearable devices represents one of the emerging field in mobile social sensing, considering their impact on different user categories and on different social contexts. However, it is important to limit the collection and use of sensitive information characterising individual users and their social interactions in order to maintain the user compliance. For this reason, we decided to focus mainly on physical proximity and, specifically, on the analysis of BLE wireless signals commonly used by commercial mobile devices. In this work, we present the SocializeME framework designed to collect proximity information and to detect social interactions through heterogeneous personal mobile devices. We also present the results of an experimental data collection campaign conducted with real users, highlighting technical limitations and performances in terms of quality of RSS, packet loss, and channel symmetry, and how they are influenced by different configurations of the user's body and the position of the personal device. Specifically, we obtained a dataset with more than 820.000 Bluetooth signals (BLE beacons) collected, with a total monitoring of over 11?h. The dataset collected reproduces 4 different configurations by mixing two user posture's layouts (standing and sitting) and different positions of the receiver device (in hand, in the front pocket and in the back pocket). The large number of experiments in those different configurations, well cover the common way of holding a mobile device, and the layout of a dyad involved in a social interaction. We also present the results obtained by SME-D algorithm, designed to automatically detect social interactions based on the collected wireless signals, which obtained an overall accuracy of 81.56% and F-score 84.7%. The collected and labelled dataset is also released to the mobile social sensing community in order to evaluate and compare new algorithms.Source: PERVASIVE AND MOBILE COMPUTING (PRINT), vol. 67
DOI: 10.1016/j.pmcj.2020.101198
Metrics:
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Pervasive and Mobile Computing | Pervasive and Mobile Computing | CNR IRIS | ISTI Repository | www.sciencedirect.com | CNR IRIS | CNR IRIS
2024
Journal article
Open Access
An experimental dataset for search and rescue operations in avalanche scenarios based on LoRa technology
Girolami M., Mavilia F., Berton A., Marrocco G., Bianco G. M.
Wireless technologies suitable for Search and Rescue (SaR) operations are becoming crucial for the success of such missions. In avalanche scenarios, the snow depth and the snowpack profile significantly influence the wireless propagation of technologies used to locate victims, such as ARVA (in French: appareil de recherche de victimes d’avalanche) systems. In this work, we explore the potential of LoRa technology under challenging realistic conditions. For the first time, we collect radiopropagation data and the contextual snow profile when the transmitter is buried over a 50×50 m area resembling a typical human-triggered avalanche. Specifically, we detail the methodology adopted to collect data through three test types: cross, maximum distance, and drone flyover. The data are annotated with accurate ground truth which allows evaluating localization algorithms based on the RSSI (received signal strength indicator) and SNR (signal-to-noise ratio) of LoRa units. We conducted tests under various environmental conditions, ranging from dry to wet snowpacks. Our results demonstrate the high quality of the LoRa channel, even when the target is buried at a depth of 1 meter in snow with a high liquid water content. At the same time, we quantify the effects of two main degrading factors for the LoRa propagation: the amount of the snow and the liquid water content existing in the snowpack profiles.Source: IEEE ACCESS, vol. 12, pp. 171015-171035
DOI: 10.1109/access.2024.3497654
Metrics:
Girolami M., Mavilia F., Berton A., Marrocco G., Bianco G. M.
Wireless technologies suitable for Search and Rescue (SaR) operations are becoming crucial for the success of such missions. In avalanche scenarios, the snow depth and the snowpack profile significantly influence the wireless propagation of technologies used to locate victims, such as ARVA (in French: appareil de recherche de victimes d’avalanche) systems. In this work, we explore the potential of LoRa technology under challenging realistic conditions. For the first time, we collect radiopropagation data and the contextual snow profile when the transmitter is buried over a 50×50 m area resembling a typical human-triggered avalanche. Specifically, we detail the methodology adopted to collect data through three test types: cross, maximum distance, and drone flyover. The data are annotated with accurate ground truth which allows evaluating localization algorithms based on the RSSI (received signal strength indicator) and SNR (signal-to-noise ratio) of LoRa units. We conducted tests under various environmental conditions, ranging from dry to wet snowpacks. Our results demonstrate the high quality of the LoRa channel, even when the target is buried at a depth of 1 meter in snow with a high liquid water content. At the same time, we quantify the effects of two main degrading factors for the LoRa propagation: the amount of the snow and the liquid water content existing in the snowpack profiles.Source: IEEE ACCESS, vol. 12, pp. 171015-171035
DOI: 10.1109/access.2024.3497654
Metrics:
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IEEE Access | IEEE Access | CNR IRIS | ieeexplore.ieee.org | CNR IRIS
2014
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EMS@CNR: an energy monitoring sensor network infrastructure for in-building location-based services
Barsocchi P, Ferro E, Fortunati L, Mavilia F, Palumbo F
The increasing demand for building services and comfort levels, together with the rise in time spent inside buildings, assure an upward trend in energy demand for the future. In this paper we present a long term energy monitoring system called EMS@CNR that is able to measure the energy consumed by end users in office environments. The proposed infrastructure stands as an enabling technology for future in- building location-based services.
Barsocchi P, Ferro E, Fortunati L, Mavilia F, Palumbo F
The increasing demand for building services and comfort levels, together with the rise in time spent inside buildings, assure an upward trend in energy demand for the future. In this paper we present a long term energy monitoring system called EMS@CNR that is able to measure the energy consumed by end users in office environments. The proposed infrastructure stands as an enabling technology for future in- building location-based services.
2014
Journal article
Restricted
Smart buildings: an energy saving and control system in the CNR Research Area, Pisa.
Barsocchi P, Crivello A, Ferro E, Fortunati L, Mavilia F, Riolo G
Renewable Energy and ICT for Sustainability Energy" (or "Energy Sustainability") is a project led by the Department of Engineering, ICT, and Technologies for Energy and Transportations (DIITET) of the Italian National Research Council (CNR). This project aims to study and test a coordinated set of innovative solutions to make cities sustainable, with respect to their energy consumption.Source: ERCIM NEWS, vol. 99, pp. 51-52
Barsocchi P, Crivello A, Ferro E, Fortunati L, Mavilia F, Riolo G
Renewable Energy and ICT for Sustainability Energy" (or "Energy Sustainability") is a project led by the Department of Engineering, ICT, and Technologies for Energy and Transportations (DIITET) of the Italian National Research Council (CNR). This project aims to study and test a coordinated set of innovative solutions to make cities sustainable, with respect to their energy consumption.Source: ERCIM NEWS, vol. 99, pp. 51-52
2014
Conference article
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EMS@CNR: an energy monitoring sensor network infrastructure for in-building location-based services
Barsocchi P, Ferro E, Fortunati L, Mavilia F, Palumbo F
The increasing demand for building services and comfort levels, together with the rise in time spent inside buildings, assure an upward trend in energy demand for the future. In this paper we present a long term energy monitoring system called EMS@CNR that is able to measure the energy consumed by end users in office environments. The proposed infrastructure stands as an enabling technology for future in- building location-based services.DOI: 10.1109/hpcsim.2014.6903779
Metrics:
Barsocchi P, Ferro E, Fortunati L, Mavilia F, Palumbo F
The increasing demand for building services and comfort levels, together with the rise in time spent inside buildings, assure an upward trend in energy demand for the future. In this paper we present a long term energy monitoring system called EMS@CNR that is able to measure the energy consumed by end users in office environments. The proposed infrastructure stands as an enabling technology for future in- building location-based services.DOI: 10.1109/hpcsim.2014.6903779
Metrics:
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doi.org | CNR IRIS | ieeexplore.ieee.org | CNR IRIS
2015
Other
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Enhanced accelerometer for structural health monitoring
Cassarà P., Mavilia F., Pellegrini D.
Structural Health Monitoring (SHM) plays a crucial role in conserving and safeguarding the world's patrimony of historical buildings. Indeed, it allows, on the one hand, understanding the dynamic behavior of the structures in question, and on the other, checking their health status in real time. Obviously, application of such systems in the field of cultural heritage calls for employing low-cost technologies that enable non-invasive monitoring under in-service conditions. This paper describes a wireless SHM system based on a low-cost 3-axis accelerometer and the frame structure used for its calibration.
Cassarà P., Mavilia F., Pellegrini D.
Structural Health Monitoring (SHM) plays a crucial role in conserving and safeguarding the world's patrimony of historical buildings. Indeed, it allows, on the one hand, understanding the dynamic behavior of the structures in question, and on the other, checking their health status in real time. Obviously, application of such systems in the field of cultural heritage calls for employing low-cost technologies that enable non-invasive monitoring under in-service conditions. This paper describes a wireless SHM system based on a low-cost 3-axis accelerometer and the frame structure used for its calibration.
2017
Other
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ARIANNA - Modellazione in produzione. Configurazione del sistema in laboratorio di sensoristica e trasmissione dati dal campo verso la piattaforma
Miori V, Russo D, Barsocchi P, Mavilia F, Riolo G
The PL244.1 deals with the system configuration tools, both for environmental and energy monitoring. In this regard, a web-accessible application has been created enabling the application scenarios. It also allows to carry out control, implementation, or task logs operations. The results of this deliverable are: a description of the application, its software, and a video documentation showing the system configuration and administration features implemented.
Miori V, Russo D, Barsocchi P, Mavilia F, Riolo G
The PL244.1 deals with the system configuration tools, both for environmental and energy monitoring. In this regard, a web-accessible application has been created enabling the application scenarios. It also allows to carry out control, implementation, or task logs operations. The results of this deliverable are: a description of the application, its software, and a video documentation showing the system configuration and administration features implemented.
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CNR IRIS | CNR IRIS | www.progetto-arianna.it
2017
Other
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ARIANNA - Energy MONITORING - Definizione Moduli. Descrizione della definizione dell'architettura
Miori V, Russo D, Barsocchi P, Mavilia F, Riolo G
The Energy Monitoring service architecture meets the requirements of application scenarios. The solution is designed so that each monitored and managed environment is covered by a network of sensor nodes and wireless actuators (RoomNet). These sensors aggregate power transducers for DC and single-phase sockets. The solution also used a current transformer (CT) and an AC / AC voltage transformer. The data obtained in the individual RoomNet are published on a remote database and can be viewed through special graphical interfaces. Such interfaces are also accessible by mobile devices. The technology chosen for the wireless sensor node network is ZigBee
Miori V, Russo D, Barsocchi P, Mavilia F, Riolo G
The Energy Monitoring service architecture meets the requirements of application scenarios. The solution is designed so that each monitored and managed environment is covered by a network of sensor nodes and wireless actuators (RoomNet). These sensors aggregate power transducers for DC and single-phase sockets. The solution also used a current transformer (CT) and an AC / AC voltage transformer. The data obtained in the individual RoomNet are published on a remote database and can be viewed through special graphical interfaces. Such interfaces are also accessible by mobile devices. The technology chosen for the wireless sensor node network is ZigBee
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CNR IRIS | CNR IRIS | www.progetto-arianna.it
2017
Other
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ARIANNA - Environmental MONITORING -Analisi (lato uffici). Descrizione degli scenari applicativi ed esigenze specifiche
Miori V, Russo D, Barsocchi P, Mavilia F, Riolo G
The Environmental Monitoring Service (Environmental Monitoring) has the general objective to monitor the conditions of the working environment both in production environments and the offices where the employees work. The environmental monitoring service is based on the detection of a set of parameters specifically relating to noise, humidity and temperature, and the presence or absence of people. The service requires a Wireless Sensor Network (WSN) for the management of all activities/services and a Wireless Sensor Network Central (WSN-C) for its oversight function, able to provide information/analysis on the conditions of the work environment.
Miori V, Russo D, Barsocchi P, Mavilia F, Riolo G
The Environmental Monitoring Service (Environmental Monitoring) has the general objective to monitor the conditions of the working environment both in production environments and the offices where the employees work. The environmental monitoring service is based on the detection of a set of parameters specifically relating to noise, humidity and temperature, and the presence or absence of people. The service requires a Wireless Sensor Network (WSN) for the management of all activities/services and a Wireless Sensor Network Central (WSN-C) for its oversight function, able to provide information/analysis on the conditions of the work environment.
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CNR IRIS | CNR IRIS | www.progetto-arianna.it
2017
Other
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ARIANNA - Modellazione in produzione - Simulazione. Simulazione del sistema in Laboratorio
Miori V, Russo D, Barsocchi P, Mavilia F, Riolo G
The modules allow both the real-time data generated by the sensor network and their transmission to the Telecom Italia EnerGreen platform. About the real-time data collection specifically focuses on energy, noise, humidity, temperature and presence / absence of people in the office work. Two videos were produced, the first one for real time tracking demonstration and the second one for the delayed demo demonstration.
Miori V, Russo D, Barsocchi P, Mavilia F, Riolo G
The modules allow both the real-time data generated by the sensor network and their transmission to the Telecom Italia EnerGreen platform. About the real-time data collection specifically focuses on energy, noise, humidity, temperature and presence / absence of people in the office work. Two videos were produced, the first one for real time tracking demonstration and the second one for the delayed demo demonstration.
See at:
CNR IRIS | CNR IRIS | www.progetto-arianna.it
2017
Conference article
Restricted
Sensing the cities with social-aware unmanned aerial vehicles
Chessa S, Girolami M, Mavilia F, Dini G, Perazzo P, Rasori M
The increasing diffusion of smart devices opens to a new era for collecting large quantities of data from urban areas. Sensing information can be collected by using existing network infrastructures, but also by adopting small, cheap and configurable aerial vehicles, namely drones. Our work focusses on studying how to optimize their adoption for smart city applications designed to gather sensing data from user's devices roaming on the ground. To this purpose, we used HUMsim, a tool which generates realistic human traces, to mimic pedestrian mobility. From this dataset, we extract some sociality features that we exploit to plan a social-aware drone trajectory with the goal of maximizing the opportunities of interaction between drone and devices. Our experiments compare social-aware and social-oblivious trajectories showing that knowing the way people move and interact boosts the amount of retrievable data.DOI: 10.1109/iscc.2017.8024542
Metrics:
Chessa S, Girolami M, Mavilia F, Dini G, Perazzo P, Rasori M
The increasing diffusion of smart devices opens to a new era for collecting large quantities of data from urban areas. Sensing information can be collected by using existing network infrastructures, but also by adopting small, cheap and configurable aerial vehicles, namely drones. Our work focusses on studying how to optimize their adoption for smart city applications designed to gather sensing data from user's devices roaming on the ground. To this purpose, we used HUMsim, a tool which generates realistic human traces, to mimic pedestrian mobility. From this dataset, we extract some sociality features that we exploit to plan a social-aware drone trajectory with the goal of maximizing the opportunities of interaction between drone and devices. Our experiments compare social-aware and social-oblivious trajectories showing that knowing the way people move and interact boosts the amount of retrievable data.DOI: 10.1109/iscc.2017.8024542
Metrics:
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doi.org | CNR IRIS | ieeexplore.ieee.org | CNR IRIS
2017
Other
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Sensing the health state of a city structural monitoring system by IoT wireless sensing devices
Barsocchi P., Cassarà P., Mavilia F., Pellegrini D.
We are witnesses of technological ascent accomplished by the Internet of Things (IoT) in the new era of the shared informatization. Smart Cities make up certainly one of the major areas of IoT applications. Despite the several defi- nitions for this new concept, the aim is achieve a better use of public resources, increasing the quality of services and decreasing the costs of public services. Some initiatives of Smart Cities around the world have become reality [1]. Many components compose a smart city, e.g. smart transportation, smart energy, smart education, and smart building surely. A smart building consists in services offered to the occupants, resources distributed to the city and, in case of historical heritage, informations about its "health state" to municipalities. The core of a smart building, and more in general of a smart city, is represented by the IoT devices [2]. Physical objects connected over a network take part in Internet sharing information about themselves at any time. The marketplace offers several solutions for IoT developments, both in hardware and software. Developers have proposed simply and low-cost embedded systems, that allowed users to develop on their own monitoring and actuation systems [3]. The research in the structural health monitoring field (SHM) [4] takes advantage by the IoT paradigm. Indeed, the goal of SHM is to obtain informa- tion about the characteristics of a structure, its constituent materials, and the different parts that compose itself. The SHM needs of observations of a structure over the time, using measurements obtained with different kind of sensors (accelerometers, thermometers, hygrometer, extensometers) deployed along the whole structure to be monitored. Such procedures are recognized as a good way to test the state of conservation of a structure, and are also important aids in identifying when interventions are necessary. Exploiting low-invasive and aesthetically acceptable sensors becomes essential to widespread SHM applications. IoT technolo- gies have invaded SHM field providing an economical and relatively non-invasive instruments for real-time structural monitoring of buildings and monuments. Indeed, IoT-based sensors are able to monitor wide areas and transmit data to a remote server. We envisage their employment in a not too distant future in the monitoring of entire areas within a city, facilitating the management of maintenance operations and prompt interventions in the case of an emergency. The main issues that must be taken into account when an IoT-based sensor network is used for SHM applications are: the number and location of the sensors used to ac- quire data, the synchronization of the acquired data and the energy consumption of the nodes. The optimization of the number and location of sensors is a new challenge in these technologies, which typically involve a large number of redundant sensors. Moreover, the synchronization of the sampled data is essential in order to correlate data coming from different sensors deployed in the ancient monuments. Finally, adopting energy-efficiency policies becomes essen- tial for long term monitoring systems. In this paper we show how a long term monitoring infras- tructure based on the IoT paradigm can be achieved with off-the-shelf devices, where each sensing device is able of autonomously transferring data (3-axial acceleration, tem- perature and humidity) to a server. We deployed the sensing devices on the San Frediano bell tower in Lucca, collecting a large amount of data. Finally, we studied the structure behavior under external stresses, showing results in three particular conditions: environmental noise in a weekday, during the ringing of the bells and during a large event taken place in the city.
Barsocchi P., Cassarà P., Mavilia F., Pellegrini D.
We are witnesses of technological ascent accomplished by the Internet of Things (IoT) in the new era of the shared informatization. Smart Cities make up certainly one of the major areas of IoT applications. Despite the several defi- nitions for this new concept, the aim is achieve a better use of public resources, increasing the quality of services and decreasing the costs of public services. Some initiatives of Smart Cities around the world have become reality [1]. Many components compose a smart city, e.g. smart transportation, smart energy, smart education, and smart building surely. A smart building consists in services offered to the occupants, resources distributed to the city and, in case of historical heritage, informations about its "health state" to municipalities. The core of a smart building, and more in general of a smart city, is represented by the IoT devices [2]. Physical objects connected over a network take part in Internet sharing information about themselves at any time. The marketplace offers several solutions for IoT developments, both in hardware and software. Developers have proposed simply and low-cost embedded systems, that allowed users to develop on their own monitoring and actuation systems [3]. The research in the structural health monitoring field (SHM) [4] takes advantage by the IoT paradigm. Indeed, the goal of SHM is to obtain informa- tion about the characteristics of a structure, its constituent materials, and the different parts that compose itself. The SHM needs of observations of a structure over the time, using measurements obtained with different kind of sensors (accelerometers, thermometers, hygrometer, extensometers) deployed along the whole structure to be monitored. Such procedures are recognized as a good way to test the state of conservation of a structure, and are also important aids in identifying when interventions are necessary. Exploiting low-invasive and aesthetically acceptable sensors becomes essential to widespread SHM applications. IoT technolo- gies have invaded SHM field providing an economical and relatively non-invasive instruments for real-time structural monitoring of buildings and monuments. Indeed, IoT-based sensors are able to monitor wide areas and transmit data to a remote server. We envisage their employment in a not too distant future in the monitoring of entire areas within a city, facilitating the management of maintenance operations and prompt interventions in the case of an emergency. The main issues that must be taken into account when an IoT-based sensor network is used for SHM applications are: the number and location of the sensors used to ac- quire data, the synchronization of the acquired data and the energy consumption of the nodes. The optimization of the number and location of sensors is a new challenge in these technologies, which typically involve a large number of redundant sensors. Moreover, the synchronization of the sampled data is essential in order to correlate data coming from different sensors deployed in the ancient monuments. Finally, adopting energy-efficiency policies becomes essen- tial for long term monitoring systems. In this paper we show how a long term monitoring infras- tructure based on the IoT paradigm can be achieved with off-the-shelf devices, where each sensing device is able of autonomously transferring data (3-axial acceleration, tem- perature and humidity) to a server. We deployed the sensing devices on the San Frediano bell tower in Lucca, collecting a large amount of data. Finally, we studied the structure behavior under external stresses, showing results in three particular conditions: environmental noise in a weekday, during the ringing of the bells and during a large event taken place in the city.
2018
Journal article
Open Access
Sensing a city's state of health: structural monitoring system by Internet-of-Things wireless sensing devices
Barsocchi P., Cassarà P., Mavilia F., Pellegrini D.
We are the witnesses of a technological ascent accomplished by the Internet of Things (IoT) in the new era of shared informatization. Smart cities make up one of the major areas of IoT applications. Despite several definitions for this new concept, the aim is to achieve a better use of public resources by increasing the quality of services and decreasing the costs of public services. Some initiatives of smart cities around the world have become reality, such as in [1]. Many smart components compose a smart city, such as transportation, energy, education, and buildings. A smart building includes services offered to the occupants, resources distributed to the city, and, in the case of historical buildings, information provided to municipalities about their state of health.Source: IEEE CONSUMER ELECTRONICS SOCIETY NEWSLETTER, vol. 7 (issue 2), pp. 22-31
DOI: 10.1109/mce.2017.2717198
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Barsocchi P., Cassarà P., Mavilia F., Pellegrini D.
We are the witnesses of a technological ascent accomplished by the Internet of Things (IoT) in the new era of shared informatization. Smart cities make up one of the major areas of IoT applications. Despite several definitions for this new concept, the aim is to achieve a better use of public resources by increasing the quality of services and decreasing the costs of public services. Some initiatives of smart cities around the world have become reality, such as in [1]. Many smart components compose a smart city, such as transportation, energy, education, and buildings. A smart building includes services offered to the occupants, resources distributed to the city, and, in the case of historical buildings, information provided to municipalities about their state of health.Source: IEEE CONSUMER ELECTRONICS SOCIETY NEWSLETTER, vol. 7 (issue 2), pp. 22-31
DOI: 10.1109/mce.2017.2717198
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2017
Contribution to book
Restricted
Energy and environmental long-term monitoring system for inhabitants' well-being
Barsocchi P, Crivello A, Mavilia F, Palumbo F
The increasing demand for building services and comfort levels, together with the increased time spent inside buildings, assures an upward trend in long-term monitoring system demand for the future. In this paper, we present the work done for designing added value human well-being services starting from a state-of-the-art continuous data gathering infrastructure. The paper presents the proposed energy and environmental long-term monitoring system that is able to measure both the energy consumed by end users and the environmental parameters in office environments. The paper shortly describes the general idea, then it focuses on the work done to create a well-being service on the top of the data gathering layer. In particular, it dwells on the deployment approach focusing on the description of the long-term monitoring system and providing preliminary results of the proposed real-time social interactions algorithm.DOI: 10.3233/978-1-61499-804-4-91
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Barsocchi P, Crivello A, Mavilia F, Palumbo F
The increasing demand for building services and comfort levels, together with the increased time spent inside buildings, assures an upward trend in long-term monitoring system demand for the future. In this paper, we present the work done for designing added value human well-being services starting from a state-of-the-art continuous data gathering infrastructure. The paper presents the proposed energy and environmental long-term monitoring system that is able to measure both the energy consumed by end users and the environmental parameters in office environments. The paper shortly describes the general idea, then it focuses on the work done to create a well-being service on the top of the data gathering layer. In particular, it dwells on the deployment approach focusing on the description of the long-term monitoring system and providing preliminary results of the proposed real-time social interactions algorithm.DOI: 10.3233/978-1-61499-804-4-91
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ebooks.iospress.nl | CNR IRIS | CNR IRIS