33 pubblicazioni classificate nel seguente modo:

Development of a BIM-based spatial conflict simulator for detecting dust hazards
2023 Proceedings of the 40th ISARC, Chennai, India
Autore/i: Messi, Leonardo; Carbonari, Alessandro; Corneli, Alessandra; Romagnoli, Stefano; Naticchia, Berardo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In construction management, a spatial conflict between two activities is generally identified as the intersection between related workspaces. Such assumption works well for detecting the majority of conflicts. Nevertheless, in certain dynamic scenarios, a spatial interference between two activities may occur even if the related workspaces do not intersect each other. This study, being construction sites one of the major responsible for creating particulate matter (PM), focuses on spatial interferences related to dust hazard, still representing an open issue. In fact, although the correlation between PM concentration and health diseases dates back several decades, no study has addressed yet spatial interferences caused by PM-creating activities under the effect of meteorological and seasonal factors. In order to cover these gaps, this study proposes a BIM-based spatial conflict simulator that, framed within a workspace management framework, spatially checks future construction work plans according to atmospheric phenomena based on weather forecast data. The resulting prototype, developed within Unity3DTM and tested through sensitivity analysis, has been applied on a real construction site scenario. Experiments results has confirmed the possibility to virtually simulate construction activities and atmospheric phenomena in order to support project managers in adopting countermeasures against dust hazards.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/321151

DIGITAL MANAGEMENT IN POST-SEISMIC AND EMERGENCY RECONSTRUCTION
ALBANIA IN THE THIRD MILLENIUM
Autore/i: Corneli, Alessandra; Çapeli, Loreta; Naticchia, Berardo
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325622

APPLICATION OF DIMINISHED REALITY FOR CONSTRUCTION SITE SAFETY MANAGEMENT
Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
Autore/i: Corneli, Alessandra; Naticchia, Berardo; Vaccarini, Massimo; Carbonari, Alessandro; Spegni, Francesco
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325621

Seamless indoor/outdoor marker-less augmented reality registration supporting facility management operations
Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
Autore/i: Messi, Leonardo; Spegni, Francesco; Vaccarini, Massimo; Corneli, Alessandra; Binni, Leonardo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Augmented reality (AR) still struggles to be widely used in real processes in the construction industry despite its great potential. This is partly due to the difficulties that exist in aligning holograms and maintaining their stability, especially for outdoor applications. In addition, being indoor-outdoor interactions crucial for built environment management, it would be important that AR apps can work seamlessly. Alignment in indoor environments cannot make use of methods such as GNSS, nor can all environments be assumed to have been previously initialized with AR tools. Thus, marker-less AR registration is crucial for indoor applications. This paper presents an approach for marker-less AR registration seamlessly in both outdoor and indoor environments. Real-time kinematic positioning (RTK) and Inertial Measurement Units (IMU) technologies have been chosen for outdoor registration, while image comparison based on convolutional neural networks (CNN) for indoor registration. In this research, the application of these two technologies and their integration have been studied and tested on site on a real Facility Management use case related to a university campus. The proposed approach has shown very promising results in displaying BIM elements of the electrical system seamlessly superimposed through AR to their physical counterparts in mixed indoor-outdoor environments.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325396

URBAN CENTERS MANAGEMENT: A DIGITAL TWIN APPROACH
Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
Autore/i: Corneli, Alessandra; Rotilio, Marianna
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325620

POINT CLOUD CLASSIFICATION OF AN URBAN ENVIRONMENT USING A SEMI-AUTOMATIC APPROACH
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVIII-1/W1-2023 12th International Symposium on Mobile Mapping Technology (MMT 2023)
Autore/i: Di Stefano, F.; Pierdicca, R.; Malinverni, E. S.; Corneli, A.; Naticchia, B.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/325493

Natural Language Processing For Construction Sites Management
Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference
Autore/i: Corneli, Alessandra; Binni, Leonardo; Spegni, Francesco; Naticchia, Berardo; Messi, Leonardo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/321034

Digital Twin for a Resilient Management of the Built Environment
Proceeding of Metrology for Living Environment 2023
Autore/i: Corneli, Alessandra; Rotilio, Marianna; Villa, Valentina
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/321035

Development of augmented BIM models for built environment management
Book ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022
Autore/i: Binni, L.; Naticchia, B.; Corneli, A.; Prifti, M.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Traditional surveys in the built environment are time-consuming and usually result in enormous amounts of data, that are difficult to manage and contains bias. Therefore, BIM modeling of both geometries and related information leads to inconsistent, incomplete, or the other way around highly detailed models that need to be reworked afterwards, slowing the design process. The proposed methodology combines point cloud surveying technique, photogrammetry, and BIM within a game engine platform to define a workflow for an incremental model semantic enrichment that leads to an augmented BIM environment. The case study prototype allows stepwise accurate integration of detailed BIM objects by easing positioning them in the scene in accordance with the overlapped aligned images, giving the possibility of model enrichment only when it is required.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/315737

Digital Twin Models Supporting Cognitive Buildings for Ambient Assisted Living
TECHNOLOGICAL IMAGINATION IN THE GREEN AND DIGITAL TRANSITION
Autore/i: Binni, Leonardo; Naticchia, Berardo; Corneli, Alessandra; Vaccarini, Massimo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/315738

Machine Learning Framework for the Sustainable Maintenance of Building Facilities
SUSTAINABILITY
Autore/i: Villa, Valentina; Bruno, Giulia; Aliev, Khurshid; Piantanida, Paolo; Corneli, Alessandra; Antonelli, Dario
Classificazione: 1 Contributo su Rivista
Abstract: The importance of sustainable building maintenance is growing as part of the Sustainable Building concept. The integration and implementation of new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generate a large amount of data that will be utilized to better manage the sustainable building maintenance and staff. Anomaly prediction models assist facility managers in informing operators to perform scheduled maintenance and visualizing predicted facility anomalies on building information models (BIM). This study proposes a Machine Learning (ML) anomaly prediction model for sustainable building facility maintenance using an IoT sensor network and a BIM model. The suggested framework shows the data management technique of the anomaly prediction model in the 3D building model. The case study demonstrated the framework’s competence to predict anomalies in the heating ventilation air conditioning (HVAC) system. Furthermore, data collected from various simulated conditions of the building facilities was utilized to monitor and forecast anomalies in the 3D model of the fan coil.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/299821

Automated IoT-Connected On-Board Fault Detection in Fan-Coils: Prototype Construction and Preliminary
Proceedings of International Structural Engineering and Construction
Autore/i: Villa, Valentina; Siccardi, Stefania; Corneli, Alessandra; Piantanida, Paolo; Khurshid, Aliev
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The paper focuses on design and implementation of an IoT connected on-board automated fault detection and diagnostics prototype (AFDD) for a nonspecific fan-coil, in turn part of HVAC system and of a distributed digital collaboration framework used in Facility Management. A research on common IoT architecture and maintenance strategies has been carried out besides the theoretical development of a Fault detection diagram on all the typical faults in fan-coil units. A real fan-coil was then inspected to point out its construction details and the points to be monitored. Then it was equipped with the prototype AFDD system. All the components and sensors needed to build the AFDD prototype are commonly available. The design and implementation of automated fault detection and diagnostics (AFDD) for HVAC fan-coils systems fully exploits distributed computing for remote and smart system monitoring, anomaly detection and eventually fault diagnostics to improve maintenance management through the integration of a large number of data locally gathered by smart sensors. Experimental results on the prototype are given about some recurrent fan-coil anomalies. Local intelligence allows a quick and on-site anomaly detection and fault diagnostic, as proven by running the prototype AFDD equipped fan-coil: it could help managing and scheduling maintenance, reducing time-to-fix together with indirect and direct costs, if network connected. Feeding the network with relevant data about the anomalies extracted by the local intelligence allows sharing the information at every level, also in order to statistically rate HAVC components service life and reliability.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/315735

Development of digital twin models supporting ambient assisted living
Proceedings of the 2022 European Conference on Computing in Construction
Autore/i: Binni, L.; Corneli, A.; Vaccarini, M.; & , ; Naticchia, B.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: World population aging requires finding solutions to improve independent living options. Ambient Assisted Living (AAL) is making step forward developing services supporting the elderly, but the implementation of predictive environments is still far away. Besides, the emerging Digital Twin (DT) concept has begun to shape the first cognitive environments that integrate users into assessments, improving efficiency, prevention, and prediction of likely events through realtime AI computing. This paper aims to provide a prototype of a Cognitive Building framework based on DT models that develop high-level knowledge to achieve real-time Scenario Awareness and offer appropriate AAL services once anomalies are detected.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/315736

A framework for development and integration of digital twins in construction
Proceedings of 13th European Conference on Product & Process Modelling (ECPPM)
Autore/i: Corneli, A.; Naticchia, B.; Carbonari, A.; Vaccarini, M.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/301245

Leveraging Extended Reality technologies with RFID to enhance on field maintenance of buildings
Proceedings of the 38th International Conference of CIB W78
Autore/i: Naticchia, B; Vaccarini, M; Corneli, A; Messi, L; Carbonari, A
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The combined use of BIM and the advanced visualization provided by Extended Reality technologies can improve productivity in the project management processes in construction. This paper concerns an application of MR for seamless data retrieval from a BIM platform towards field workers in charge of maintenance. For instance, in case a failure of any systems has been claimed, workers must retrieve the information about the localization of components prior to repairing. This step can be facilitated by on field data visualization through MR. As the number of on field repair actions is huge in complex buildings, minimizing the time required for the alignment of virtual models is beneficial. Hence, an approach for model alignment that is based on the use of RFID tags has been developed. The first advantage is that these embedded devices are suitable for reuse at any survey with no need for re-deployment. Secondly, this approach does not require that the virtual model is displayed during the alignment, which makes it suitable for large models.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/299421

A Smart Contract-based BPMN Choreography Execution for Management of Construction Processes
Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC)
Autore/i: Corneli, Alessandra; Spegni, Francesco; Bragadin, Marco Alvise; Vaccarini, Massimo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Construction management can be grouped into two different levels: strategic early planning, that provides the baseline for project monitoring, and short time initiatives, based on objectives and self-organization from actors who are involved in on-site processes. The latter can be considered as a complex system management issue since it presents emergent behaviors thus it can not be handled in a traditional way. The passage from project scheduling to on site operations management requires a change of perspective. On site short time planning is a process of forecasting future outcomes therefore it deals with uncertainty and indeterminacy. At present this is managed through the representation of many separate orchestrations and this does not allow to eliminate the inefficiencies that arise at the level of synchronization of the individual tasks performed by organizations with contractually separate management. Efficiency in construction management implies to take into consideration choreographies because they better reflect synchronization of different organizations management processes. On the other hand, information processed as a trigger for distributed activities on different management does not guarantee process traceability while smart contracts linked to single task execution assure both promptness and irreversible tracking at single task level. The actual execution of the processes depends both on what happens and on the information that flows between the subjects who actually carry out processes asynchronous to each other, so the only possibility to synchronize them is information. This research aims to describe a framework for applying BPMN choreographies to construction site processes in order to better modeling processes for smart contracts application. The choice of applying BPMN instead of CPM lays in the fact that it allows to model the information flows as well as the preparatory aspects and in addition it allows to represent decision-making moments. Every single activity in the baseline can be modelled as a choreography at a lower level. On the other hand, process performance monitoring can be performed thanks to blockchain tasks notarization. Concrete casting quality assessment process has been chosen as use case. BPMN choreography of this process has been modelled and blockchain application for tasks and information notarization has been development and tested on a construction site.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/299248

A decision support system for scenario analysis in energy refurbishment of residential buildings
ENERGIES
Autore/i: Giretti, Alberto; Corneli, Alessandra; Naticchia, Berardo
Classificazione: 1 Contributo su Rivista
Abstract: The energy efficiency of buildings is a key condition in the implementation of national sustainability policies. Energy efficiency of the built heritage is usually achieved through energy contracts or renovation projects that are based on decisions often taken with limited knowledge and in short time frames. However, the collection of comprehensive and reliable technical information to support the decision process is a long and expensive activity. Approximate assessment methods based on stationary thermal models are usually adopted, often introducing unacceptable uncertainties for economically onerous contracts. Hence, it is important to develop tools that, by capitalizing on the operators’ experience, can provide support for fast and reliable assessments. The paper documents the development of a decision support system prototype for the management of energy refurbishment investments in the residential building sector that assists operators in the energy performance assessment, using a limited set of technical information. The system uses a Case Based paradigm enriched with probabilistic modelling to implement decision support within the corporate’s knowledge management framework.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/292653

Blockchain based choreographies: The construction industry case study
CONCURRENCY AND COMPUTATION
Autore/i: Spalazzi, L.; Spegni, F.; Corneli, A.; Naticchia, B.
Classificazione: 1 Contributo su Rivista
Abstract: BPMN choreography is a modeling language capable to describe scenarios where several independent participants have to collaborate in a climate of opposing interests and therefore are forced to trust each other. For this reason, in many contexts, a strong need for transparency, responsibility, and choreography compliance arise by the various participants. Blockchains and smart contracts, thanks to their characteristic of providing a decentralized and consensus-based validation mechanism, seem to be able to meet these needs in an untrusted scenario. Nevertheless, most of the related work focused either on transparency, accountability, or compliance, but none on all three of them. Furthermore, such works do not take into account the nondeterministc nature of choreographies. This work aims at using blockchains and smart contracts in this scenario providing a formally well-defined set of tools to match all three the aforementioned requirements. This work applies the proposed techniques to a case study from the construction industry, an economical relevant application domain where the demand for transparency, accountability, and compliance with procurement contracts (that can be modeled as choreographies) is very strong.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/299829

Technology Framework for Real-Time Assessment of Spatial Conflicts in Building Retrofitting
Proceedings of the 2021 European Conference on Computing in Construction
Autore/i: Messi, Leonardo; Vaccarini, Massimo; Carbonari, Alessandro; Corneli, Alessandra; Naticchia, Berardo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In the field of construction works planning, workspaces must be considered as limited resources, in the same way as labour crews and equipment. Being the work-related spatial information both contextual and affected by construction site's dynamics, a real-time management approach based on lean principles must be adopted. In this paper, a BIM-based serious game engine, framed within a high-level system architecture, is presented to enhance work progress management. The generation of a geometric model to perform look-ahead simulations for predicting spatial conflicts is showcased relatively to a retrofitted residential building.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/299450

Combining Blockchain and BPMN Choreographies for Construction Management
Proceedings of the 2021 European Conference on Computing in Construction. European Council on Computing in Construction (EC3)
Autore/i: Corneli, Alessandra; Naticchia, Berardo; Spegni, Francesco; Spalazzi, Luca
Editore: University College Dublin
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Blockchain is considered a key technology of the current digital revolution and its application is spreading from cryptocurrencies to disparate processes requiring notarization. The well-known independence and contraposition of stakeholders in the AECO sector made DLT applications the hoped-for means to trust each other. Construction site management due to its complexity and the pluralism of the actors involved can be modelled as a BPMN coreography of intra-organizational processes. This aims of the work here presented is the exploitation of blockchains and smart contracts as tools to notarize the state of each intra-organizational process and to enforce compliance with the choreography
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/299867

BPMN 2.0 Modelling for the Management of the Inspection of Execution Processes in Construction
Proceedings of the Creative Construction e-Conference (2020)
Autore/i: Gardini, Alice; Alvise Bragadin, Marco; Naticchia, Berardo; Carbonari, Alessandro; Corneli, Alessandra
Editore: Attila Varga, Róbert Hohol, Gergely Szakáts
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Nowadays digitalization is a growing challenge for the whole construction sector. Therefore, the need of supportive tools and procedures is becoming increasingly urgent in each construction project step and particularly for project supervision in the execution phase. This is a primary requirement especially for the public sector, since the legislative framework is becoming more and more focused on this aspect, in Italy as well as in the European and international context. A formalization of the inspection procedures of project management in the construction phase is proposed through Business Process Modelling and Notation (BPMN) 2.0 language. The first key aspect of this proposal is to assume a model-based approach, which allows a more coherent information management, in contrast with the traditional document-based one. The second aspect concerns process modeling. In fact, the proposed method is based on processes, instead of BIM – based federated object-oriented models. Construction processes are modelled so that they can generate and feed the federated models themselves. In addition to this, Business Process Modelling and Notation can be used to create a collection of different procedures involved in the inspection management for construction projects. Also, BPMN model will allow an automatic feeding of an inspection management support system which will be developed in future studies, that will offer the full traceability of the procedures and the delivery of the quality certification of products. The case study of the inspection of ready-mix concrete cast-in-place process is analyzed and discussed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/290355

Artificial Intelligence assisted Building Digitization using Mixed Reality
Autore/i: Corneli, Alessandra
Editore: Università Politecnica delle Marche
Classificazione: 8 Tesi di dottorato
Abstract: Il Facility Management in edifici complessi richiede una grande quantità di informazioni che possono essere archiviate in un modello funzionale dell’edificio. Un modello funzionale è una rappresentazione strutturata dell'edificio che include informazioni cruciali per funzioni specifiche come la sicurezza, le azioni di ristrutturazione o il funzionamento e la manutenzione. Il rilevamento di questo tipo di dati, come le proprietà tecniche dei componenti dell'edificio, è un processo costoso. Per questo motivo, è necessario uno strumento avanzato il rilievo ingegneristico. Oggi molti studi si concentrano ancora sull'acquisizione della geometria, trascurando il fatto che molte azioni ricorrenti sono condotte su componenti all'interno degli edifici. Molti sistemi proposti sfruttano tecniche di rilevamento altamente accurate, come la scansione laser o la fotogrammetria, ma che richiedono lunghi sforzi di post-elaborazione per interpretare i dati raccolti. Inoltre, queste operazioni non vengono eseguite sul posto, portando a imprecisioni causate da un’interpretazione errata dei dati. In queste circostanze, la possibilità di eseguire la maggior parte delle operazioni in loco renderebbe sicuramente il processo più efficiente e ridurrebbe gli errori. Questa ricerca propone un sistema di digitalizzazione che sfrutta la collaborazione uomo-macchina evitando fasi di post-elaborazione del dato. A questo scopo, vengono sfruttate le potenzialità della Mixed Reality quali la sua capacità di interagire con il mondo reale, creando un ambiente ideale per la collaborazione uomo-macchina. La capacità della Mixed Reality di sovrapporre i dati digitali all'ambiente reale rende possibile il controllo dei dati direttamente in sito. Per il processo di riconoscimento degli oggetti il sistema proposto in questa ricerca si avvale di rete neurale. La rete neurale YOLO (You Only Look Once) è stata scelta per la sua velocità e funzionalità di rilevamento multiplo, ideale per applicazioni in tempo reale. Il sistema è stato sviluppato e le sue prestazioni sono state valutate per il rilevamento di componenti del sistema antincendio. Il primo set di allenamenti è stato testato ed ha raggiunto sempre più dell'85% del fattore F1. Quindi l'intero sistema è stato testato in sito per dimostrare la sua fattibilità in uno scenario del mondo reale.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/274488

Training of YOLO Neural Network for the Detection of Fire Emergency Assets
Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC 2020)
Autore/i: Corneli, A.; Naticchia, B.; Vaccarini, M.; Bosché, F.; Carbonari, A.
Editore: International Association on Automation and Robotics in Construction
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Building assets surveys are cost and time demanding and the majority of current methods still rely on manual procedures. New technologies could be used to support this task. The exploitation of Artificial Intelligence (AI) for the automatic interpretation of data is spreading throughout various application fields. However, a challenge with AI is the very large number of training images required for robustly detect and classify each object class. This paper details the procedure and parameters used for the training of a custom YOLO neural network for the recognition of fire emergency assets. The minimum number of pictures for obtaining good recognition performances and the image augmentation process have been investigated. In the end, it was found that fire extinguishers and emergency signs are reasonably detected and their position inside the pictures accurately evaluated. The use case proposed in this paper for the use of custom YOLO is the retrieval of as-is information for existing buildings. The trained neural networks are part of a system that makes use of Augmented Reality devices for capturing pictures and for visualizing the results directly on site.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/290357

Framework based on building information modeling, mixed reality, and a cloud platform to support information flow in facility management
FRONTIERS OF ENGINEERING MANAGEMENT
Autore/i: Naticchia, Berardo; Corneli, Alessandra; Carbonari, Alessandro
Classificazione: 1 Contributo su Rivista
Abstract: The quality of information flow management has a remarkable effect on the entire life cycle of buildings. Manual retrieval of technical specifications and features of building components and their performance assessment leads to increased cost and time and efficiency reduction, especially during the facility management (FM) stage. The introduction of building information modeling (BIM) in the construction industry can provide a valuable means of improving the organization and exchange of information. BIM tools integrate multiple levels of information within a single digital model of a building. Nevertheless, the support given by BIM to FM is far from being fully effective. Technicians can benefit from real-time communication with the data repository whenever the need for gathering contextual information and/or updating any data in the digital model arises. The framework proposed in this study aims to develop a system that supports on-site operations. Information requirements have been determined from the analyses of procedures that are usually implemented in the building life cycle. These studies set the standard for the development of a digital model of a building, which will be shared among various actors in charge of FM and accessed via a cloud platform. Moreover, mixed reality is proposed to support specific information that is relevant to geometric features and procedures to be followed by operators. This article presents three use-cases supported by the proposed framework. In addition, this research article describes the first proof of concept regarding real-time support for FM.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/290353

Development of a Twin Model for Real-time Detection of Fall Hazards
Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC 2020)
Autore/i: Messi, L.; Corneli, A.; Vaccarini, M.; Carbonari, A.
Editore: International Association on Automation and Robotics in Construction
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The Architecture, Engineering and Construction (AEC) industry is still one of the most hazardous industries in the world. Researchers impute this trend to many factors such as the separation between the phases of safety planning and project execution, implicit safety issues and, most of all, the dynamic and complex nature of construction projects. Several studies show that the AEC industry could greatly benefit of latest advances in Information and Communication Technologies (ICTs) to develop tools contributing to safety management. A digital twin of the construction site, which is automatically instantiated and updated by real-time collected data, can run fast forward simulations in order to pro-actively support activities and forecast dangerous scenarios. In this paper, the twin model of the Digital Construction Capability Centre (DC3) at the Polytechnic University of Marche (UNIVPM) is developed and run as a mock-up, thanks to the adoption of a serious game engine. This mock-up is able to mirror all the relevant features of a job site during the execution of works from a safety-wide perspective. In such a scenario, virtual avatars randomly explore the construction site in order to detect accessible, unprotected and risky workspaces at height, while warning the safety inspector in case additional safety measures are needed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/290356

Augmented reality application supporting on-site secondary building assets management
Proceedings of the Creative Construction Conference (2019)
Autore/i: Corneli, A.; Naticchia, B.; Carbonari, A.; Bosché, F.; Principi, L.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/300752

Augmented Reality and Deep Learning towards the Management of Secondary Building Assets
Proceedings of 36th International Symposium on Automation and Robotics in Construction
Autore/i: Corneli, A.; Naticchia, B.; Carbonari, A.; Bosche, F.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The retrieval of as-is information for existing buildings is a prerequisite for effectively operating facilities, through the creation or updating of Building/Asset Information Models (BIM/AIM), or Digital Twins. At present, many studies focus on the capture of geometry for the modelling of primary components, overlooking the fact that many recurring actions need to be conducted on assets inside buildings. Furthermore, highly accurate survey techniques like laser scanning need long offsite processing for object recognition. Performing such process on site would dramatically impact efficiency and also prevent the need to revisit the site in the case of insufficient/incomplete data. In this paper, an Augmented Reality (AR) system is proposed enabling inventory, information retrieval and information update directly on-site. It would reduce post-processing work and avoid loss of information and unreliability of data. The system has a Head-Mounted Display (HMD) AR interface that lets the technician interact handsfree with the real world and digital information contained in the BIM/AIM. A trained Deep Learning Neural Network operates the automatic recognition of objects in the field of view of the user and their placement into the digital BIM. In this paper, two uses cases are described: one is the inventory of small assets inside buildings to populate a BIM/AIM, and the second is the retrieval of relevant information from the AIM to support maintenance operations. Partial development and feasibility tests of the first use case applied to fire extinguishers, have been carried out to assess the feasibility and value of this system.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/271351

A DECISION SUPPORT SYSTEM FOR MULTI-CRITERIA ASSESSMENT OF LARGE BUILDING STOCKS
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
Autore/i: Carbonari, Alessandro; Corneli, Alessandra; Martino DI GIUDA, Giuseppe; Ridolfi, Luigi; Villa, Valentina
Classificazione: 1 Contributo su Rivista
Abstract: Both public administrations and private owners of large building stocks need to work out plans for the management of their property, while having to deal with yearly budget limitations. Particularly for the former, this is a rather critical challenge, since public administrations are given the responsibility of sticking to very strict budget distributions over the years. As a consequence, when planning the actions to be taken on their building stocks in order to comply with their current use and the legislation in-force, they need to classify refurbishment priorities. The aim of this paper is to develop a first tool based on Bayesian Networks that offers an effective decision support service for owners even in case some information is incomplete. This tool can be used to evaluate the compliance of existing buildings with the latest standards. The decision support platform proposed includes a multi-criteria evaluation approach combining several performance indicators, each of which related to a specific regulatory area. This tool can be applied to existing buildings, where the building with the lowest score shows the highest priority of intervention. Also, the platform performs an assessment of expected costs for required refurbishment or renovation actions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/268417

Development of a framework to support the information flow for the management of building
2018 Creative Construction Conference
Autore/i: Naticchia, Berardo; Corneli, Alessandra; Carbonari, Alessandro
Editore: Miklós Hajdu and Mirosław J. Skibniewski
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Inefficient control of information flow in projects is one of the critical aspects that affects the entire lifecycle of buildings. Besides allowing for a simpler and more efficient transfer of information, the dramatic growth of the digitalization process in the AEC industry underlines the need for a common data environment, which manages and shares these data. The increasingly widespread adoption of Building Information Modeling (BIM) is partially leading to a union of multiple levels of information in a single digital model of the building. However, many challenges are still posed in terms of information transfer from the model to operators responsible for keeping building functioning and in good conditions. In fact, technicians could benefit from the immediate availability of data on the current state of buildings and from the level of information detail that can be obtained from digital buildings. The purpose of this work is to create a framework for data management related to the maintenance phase of the building asset. Starting from the study of maintenance processes it was possible to define the information needs that will be managed by a common data environment support associated with BIM models of buildings. Furthermore, thanks to the aid of Mixed Reality (MR), the flow of information is transferred directly to the last user both as regards geometric features and for the standard procedure to be followed. This will allow a maximum optimization of data management procedures due to an automation of processes that will result in a lower incidence of errors in the processes leading eventually to an increase in quality and productivity.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263459

BIM-Based Decision Support System for the Mangement of Large Building Stocks
35th International Symposium on Automation and Robotics in Construction
Autore/i: Carbonari, Alessandro; Corneli, Alessandra; Giuseppe Di Giuda, ; Ridolfi, Luigi; Valentina, Villa
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: While on the one hand the BIM methodology is an essential reference for the construction of new buildings, on the other hand it is receiving particular attention and interest also from owners of large building stocks who want to take advantage of the benefits of Building Information Modelling so as to have a coordinated system for the sharing of information and data. This, especially in a process that concerns the management and maintenance of a large building stocks, involves the processing of uncertain information in BIM, particularly when dealing with existing buildings, due to the lack of and/or incomplete documentation, entailing a significant investment in terms of time and additional costs. Therefore, to represent the reliability of existing building data, we suggest introducing a tool based on Bayesian Network that offers a valid decision support under conditions of uncertainty and is used to evaluate the compliance with the latest standard. This paper presents a process to provide an integrated database defined by a minimum information level that can be used both to extrapolate and query specific information from a digital building model and populate the decision model in order to evaluate the performance parameters of existing buildings which is based on a Multicriteria decision making approach (AHP).
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263453

Mixed Reality Approach for the Management of Building Maintenance and Operation
35th International Symposium on Automation and Robotics in Construction
Autore/i: Naticchia, Berardo; Corneli, Alessandra; Carbonari, Alessandro; Bonci, Andrea; Pirani, Massimiliano
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Building Information Modelling (BIM) has been indicated as the right tool to provide the construction industry with the productivity boost that has been lacking in the last 40 years. This momentum finds its highest fulfilment in the support provided by BIM models to knowledge management and the automation of process. However, the management of information flow is still far from its automation breakthrough and, as far as operation and maintenance are concerned, knowledge about procedures is often incomplete. Moreover, processes are often do not undergo optimisation and the individual steps to be performed are not communicated, but in facility management (FM) the transmission of know-how is fundamental particularly because some operations are dangerous or risky. In this framework, Mixed Reality (MR) represents a powerful means to communicate the correct data concerning both geometric features to be considered and the standard procedure to be followed. The aim of this paper is to investigate the possibility of exploiting the benefits provided by these technologies to achieve automation in the transmission of information and optimisation of procedures, improving efficiency and productivity thanks to a better understanding of the operations to be carried out and the reduction of errors. With the support of a head-mounted display (HDM) device with a see-through screen capable of presenting 3D virtual objects, this research tries to combine information from a BIM model with reality to study the benefits for maintenance personnel.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263452

Decision Support Tool for Multi-Criteria Analyses of the Quality of Large Building Stock
Proceedings of ISARC 2017
Autore/i: Carbonari, A.; Giretti, A.; Corneli, Alessandra; Villa, V.; Di Giuda, G.
Editore: Tribun EU, s.r.o., Brno, 2017
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The management of any large building stock with limited resources poses a problem of prioritization of refurbishment actions. Also, available technical information about the building stock is often incomplete and the process of standardization and updating is expensive and time consuming. Some public owners are developing preliminary BIM models of their stock, but they are willing to limit the complexity of the models within the lowest amount of information required for management and maintenance, so as to make that process affordable. Indeed, administrations are challenged by their duty relative to planning regular maintenance and operation of buildings, because of the legislation in force, which requires monitoring of their facilities. For the reasons stated above, this paper presents a decision support tool that can help prioritize refurbishment actions on large building assets. To this purpose, many requirements must be jointly considered in this examination, each requirement being assessed by means of one or several indicators. Then the indicators are compared one another, according to a multi-criteria approach, that weighs the several criteria and rank the assets. In order to deal with the extensive and uncertain information that must be managed in this process, indicators are estimated by means of Bayesian Networks. This tool is used first to assess the technical indicators and rank the assets, while marking any facilities not complying with regulations. Then, additional Bayesian Networks are in charge of estimating the budget needed to upgrade non-compliant facilities with minimum legislation requirements. The outcomes of this research can be used even to assess the level of detail of the information that must be included in BIM models of the stock, in fact acting as guidelines for their development. Finally, the application of the decision tool on a real test case will be presented.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254086

A decision support system for the multicriteria analysis of existing stock
PROCEDIA ENGINEERING
Autore/i: Corneli, A.; Meschini, Silvia; Villa, V.; Di Giuda, G. M.; Carbonari, A.
Classificazione: 1 Contributo su Rivista
Abstract: Owners of any large building stock, such as public administrations, usually have to manage a huge variety of buildings with a limited budget. For this reason, targeted refurbishing actions are needed to ensure that those buildings comply with the latest standards, to preserve the stock and also keep it in good condition. As a result, most public administrators have to make important decisions regarding what part of their stock should be refurbished first. In this paper a new methodology regarding an objective assessment of the quality of large building stock is suggested, as it could help prioritize refurbishment actions. The methodology is based on a decision support system, that is capable of semiautomatically evaluating the compliance of existing buildings with a set of rules by means of the application of Bayesian Networks. The main findings of this research led to the identification of relevant parameters to be used for that assessment; the re-use of those parameters to build a multi-criteria analysis tool; the identification of criteria and requirements to interface this decision tool with BIM models of the stock under consideration. A rough estimation of costs needed to refurbish those buildings that are not compliant, in order to include budget concerns, will be dealt with in the next research step. Finally, a preliminary application of the decision support system to evaluate two Italian school buildings – selected as case studies - will be reported.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254085