The MAC4PRO project (founded by INAIL under the call BRIC 2018) will develop civil engineering and ICT solutions for the structural health monitoring and predictive maintanance of industrial sites and civil buildings via IoT approaches. Specifically, the research unit at DISI@UNIBO will focus on the design and implementation of a Web of Things (WoT) based platform for the seamless data acquisition and processing from heterogeneous sensor devices for the structural health monitoring, and the remote sensor management.
Multimedia
Related publications
2021 |
Aguzzi, Cristiano; Gigli, Lorenzo; Sciullo, Luca; Trotta, Angelo; Zonzini, Federica; Marchi, Luca De; Felice, Marco Di; Marzani, Alessandro; Cinotti, Tullio Salmon MODRON: A Scalable and Interoperable Web of Things Platform for Structural Health Monitoring Inproceedings 2021 IEEE 18th Annual Consumer Communications Networking Conference (CCNC), pp. 1-7, 2021. @inproceedings{9369492, title = {MODRON: A Scalable and Interoperable Web of Things Platform for Structural Health Monitoring}, author = {Cristiano Aguzzi and Lorenzo Gigli and Luca Sciullo and Angelo Trotta and Federica Zonzini and Luca De Marchi and Marco Di Felice and Alessandro Marzani and Tullio Salmon Cinotti}, doi = {10.1109/CCNC49032.2021.9369492}, year = {2021}, date = {2021-01-01}, booktitle = {2021 IEEE 18th Annual Consumer Communications Networking Conference (CCNC)}, pages = {1-7}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
2020 |
Marchesini, Matteo Progettazione e sviluppo di un sistema di gestione dati IoT per applicazioni di monitoraggio strutturale Masters Thesis 2020. @mastersthesis{amslaurea20423, title = {Progettazione e sviluppo di un sistema di gestione dati IoT per applicazioni di monitoraggio strutturale}, author = {Matteo Marchesini}, url = {https://amslaurea.unibo.it/id/eprint/20423}, year = {2020}, date = {2020-01-01}, abstract = {Partendo da un’analisi dell’Internet of Things (IoT) e del Web of Things (WoT), degli scenari applicativi e delle criticità, viene proposta la realizzazione di un sistema destinato alla gestione di dati provenienti dal mondo IoT per il monitoraggio strutturale, finalizzato ad una manutenzione intelligente di impianti e opere civili. L’applicazione fornisce all’utente uno strumento con cui poter visualizzare e manipolare i dati emessi dalle reti di sensori IoT posizionati sulle strutture monitorate. Fornisce funzionalità di ricerca e filtraggio sui dati, approcciando ad un’architettura WoT secondo gli standard W3C. Il lavoro svolto rappresenta un componente dell’intera infrastruttura WoT proposta dal progetto di ricerca Mac4Pro.}, keywords = {}, pubstate = {published}, tppubtype = {mastersthesis} } Partendo da un’analisi dell’Internet of Things (IoT) e del Web of Things (WoT), degli scenari applicativi e delle criticità, viene proposta la realizzazione di un sistema destinato alla gestione di dati provenienti dal mondo IoT per il monitoraggio strutturale, finalizzato ad una manutenzione intelligente di impianti e opere civili. L’applicazione fornisce all’utente uno strumento con cui poter visualizzare e manipolare i dati emessi dalle reti di sensori IoT posizionati sulle strutture monitorate. Fornisce funzionalità di ricerca e filtraggio sui dati, approcciando ad un’architettura WoT secondo gli standard W3C. Il lavoro svolto rappresenta un componente dell’intera infrastruttura WoT proposta dal progetto di ricerca Mac4Pro. |
Aguzzi, Cristiano; Gigli, Lorenzo; Sciullo, Luca; Trotta, Angelo; Felice, Marco Di From Cloud to Edge: Seamless Software Migration at the Era of the Web of Things Journal Article IEEE Access, 8 , pp. 228118-228135, 2020. @article{9296826, title = {From Cloud to Edge: Seamless Software Migration at the Era of the Web of Things}, author = { Cristiano Aguzzi and Lorenzo Gigli and Luca Sciullo and Angelo Trotta and Marco Di Felice}, doi = {10.1109/ACCESS.2020.3045632}, year = {2020}, date = {2020-01-01}, journal = {IEEE Access}, volume = {8}, pages = {228118-228135}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
MAC4PRO
Manutenzione intelligente (smart maintenance) di impianti industriali e opere civili mediante tecnologie di monitoraggio 4.0 e approcci prognostici
INAIL – BRIC 2018
Starting date: May 1, 2019
Duration: 2 years
Coordinator: Prof. Alessandro Marzani (Department of Civil, Chemical, Environmental, and Materials Engineering, University of Bologna)
Status: ACTIVE
The Arrowhead Tools project aims for digitalisation and automation solutions for the European industry, which will close the gaps that hinder the IT/OT integration by introducing new technologies in an open source platform for the design and run-time engineering of IoT and System of Systems. The project will provide engineering processes, integration platform, tools and tool chains for the cost-efficient development of digitalisation, connectivity and automation system solutions in various fields of application.
Multimedia
Related publications
2020 |
Sciullo, Luca; Montori, Federico; Trotta, Angelo; Felice, Marco Di; Cinotti, Tullio Salmon Discovering Web Things as Services within the Arrowhead Framework Inproceedings 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS), pp. 571-576, 2020. @inproceedings{9274694, title = {Discovering Web Things as Services within the Arrowhead Framework}, author = {Luca Sciullo and Federico Montori and Angelo Trotta and Marco Di Felice and Tullio Salmon Cinotti}, doi = {10.1109/ICPS48405.2020.9274694}, year = {2020}, date = {2020-01-01}, booktitle = {2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)}, volume = {1}, pages = {571-576}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
2015 |
Montori, Federico Integration of a simulation platform for electrical mobility within the arrowhead interoperability framework Masters Thesis 2015. @mastersthesis{amslaurea8385, title = {Integration of a simulation platform for electrical mobility within the arrowhead interoperability framework}, author = {Federico Montori}, url = {https://amslaurea.unibo.it/id/eprint/8385}, year = {2015}, date = {2015-01-01}, abstract = {This dissertation document deals with the development of a project, over a span of more than two years, carried out within the scope of the Arrowhead Framework and which bears my personal contribution in several sections. The final part of the project took place during a visiting period at the university of Luleå. The Arrowhead Project is an European project, belonging to the ARTEMIS association, which aims to foster new technologies and unify the access to them into an unique framework. Such technologies include the Internet of Things phe- nomenon, Smart Houses, Electrical Mobility and renewable energy production. An application is considered compliant with such framework when it respects the Service Oriented Architecture paradigm and it is able to interact with a set of defined components called Arrowhead Core Services. My personal contribution to this project is given by the development of several user-friendly API, published in the project's main repository, and the integration of a legacy system within the Arrowhead Framework. The implementation of this legacy system was initiated by me in 2012 and, after many improvements carried out by several developers in UniBO, it has been again significantly modified this year in order to achieve compatibility. The system consists of a simulation of an urban scenario where a certain amount of electrical vehicles are traveling along their specified routes. The vehicles are con-suming their battery and, thus, need to recharge at the charging stations. The electrical vehicles need to use a reservation mechanism to be able to recharge and avoid waiting lines, due to the long recharge process. The integration with the above mentioned framework consists in the publication of the services that the system provides to the end users through the instantiation of several Arrowhead Service Producers, together with a demo Arrowhead- compliant client application able to consume such services.}, keywords = {}, pubstate = {published}, tppubtype = {mastersthesis} } This dissertation document deals with the development of a project, over a span of more than two years, carried out within the scope of the Arrowhead Framework and which bears my personal contribution in several sections. The final part of the project took place during a visiting period at the university of Luleå. The Arrowhead Project is an European project, belonging to the ARTEMIS association, which aims to foster new technologies and unify the access to them into an unique framework. Such technologies include the Internet of Things phe- nomenon, Smart Houses, Electrical Mobility and renewable energy production. An application is considered compliant with such framework when it respects the Service Oriented Architecture paradigm and it is able to interact with a set of defined components called Arrowhead Core Services. My personal contribution to this project is given by the development of several user-friendly API, published in the project's main repository, and the integration of a legacy system within the Arrowhead Framework. The implementation of this legacy system was initiated by me in 2012 and, after many improvements carried out by several developers in UniBO, it has been again significantly modified this year in order to achieve compatibility. The system consists of a simulation of an urban scenario where a certain amount of electrical vehicles are traveling along their specified routes. The vehicles are con-suming their battery and, thus, need to recharge at the charging stations. The electrical vehicles need to use a reservation mechanism to be able to recharge and avoid waiting lines, due to the long recharge process. The integration with the above mentioned framework consists in the publication of the services that the system provides to the end users through the instantiation of several Arrowhead Service Producers, together with a demo Arrowhead- compliant client application able to consume such services. |
Arrowhead Tools
Arrowhead Tools for Engineering of Digitalisation Solutions
H2020-EU.2.1.1.7. – ECSEL
Starting date: May 1, 2019
Duration: 3 years
Coordinator: Luleå University of Technology, Sweden
Status: ACTIVE
Bee-Drones
The BEE-DRONES project (founded by the University of Bologna under the call AlmaIdea Senior 2017) addresses the design and deployment of ultra-low power wireless sensor networks based on the utilization of ground wake-up radio devices able to harvest energy from Unmanned Aerial Networks (UAVs). To this purpose, the research activities include extensive measurement campaigns of wake-up radio devices (developed by the joint UNIBO-STM labs), hardware/software integration, design of novel communication schemes and path-planning algorithms, modeling and simulation of large-scale UAV-aided wake-up radio based sensor networks.
Related publications
2020 |
Trotta, Angelo; Felice, Marco Di; Perilli, Luca; Scarselli, Eleonora Franchi; Cinotti, Tullio Salmon BEE-DRONES: Ultra low-power monitoring systems based on unmanned aerial vehicles and wake-up radio ground sensors Journal Article Comput. Networks, 180 , pp. 107425, 2020. @article{DBLP:journals/cn/TrottaFPSC20, title = {BEE-DRONES: Ultra low-power monitoring systems based on unmanned aerial vehicles and wake-up radio ground sensors}, author = {Angelo Trotta and Marco Di Felice and Luca Perilli and Eleonora Franchi Scarselli and Tullio Salmon Cinotti}, url = {https://doi.org/10.1016/j.comnet.2020.107425}, doi = {10.1016/j.comnet.2020.107425}, year = {2020}, date = {2020-01-01}, journal = {Comput. Networks}, volume = {180}, pages = {107425}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Bee-Drones
ALMA IDEA 2017 – Senior
Starting date: 2017
Duration: 2 years
Coordinator: prof. Marco Di Felice, Department of Computer Science and Engineering, University of Bologna
Status: CLOSED