Wireless Sensor Platform for Cultural Heritage Monitoring and Modeling System

Klein, Levente J.; Bermudez, Sergio A.; Schrott, A. G.; Tsukada, Masahiko; Dionisi-Vici, Paolo; Kargere, Lucretia; Marianno, Fernando J.; Hamann, Hendrik F.; López, Vanessa; Leona, Marco

doi:10.3390/s17091998

Cited by 31 publications

(24 citation statements)

References 41 publications

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“…Initially mostly applied in astronautics and aerospace area (Grieves and Vickers, 2016), recent progress in IoT (Internet of Things) infrastructures and the development of low-cost and reliable sensors has led specialists in building physics to consider such technologies to support monitoring strategies for the preservation of heritage sites. According to Klein et al [54], beyond the typical parameters monitored for collection care purposes, mainly focussing on the control of microclimatic conditions (temperature, relative humidity, etc. ), other variables such as noise pollution, lighting condition, air quality, air flow, attendance, and people flow, for instance, can be measured and/or monitored.…”

Section: Digital Twinmentioning

confidence: 99%

Digital Twin: Research Framework to Support Preventive Conservation Policies

Jouan

Hallot

2020

IJGI

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Preventive strategies for the conservation of heritage sites have gradually been preferred to curative approaches because of their ability to maintain their significance. Furthermore, most experts now agree that conservation management of heritage places based on a common understanding of their cultural values is essential to address all the particularities of their contexts. Recently, significant research has demonstrated the potential of Heritage Building Information Modelling (HBIM) for the collaborative data management in conjunction with conservation projects. The recent development of HBIM web platforms illustrates the value of strengthening the link between the digital model and the physical realm of heritage assets. This paper advocates the application of Digital Twin’s (DT) principles, using HBIM models as a digital replica, to support the preventive conservation of heritage places. Based on an extensive literature review, a comprehensive framework that integrates the DT into the management plan process for the preventive conservation of built heritage is proposed. Several recommendations for its implementation are finally discussed, such as the identification of tangible features of significance, the threats associated with their integrity and the corresponding mitigation strategies, with particular emphasis on the value assessment process. The result is a data model for structuring information on preventive conservation strategies. This framework provides the basis for future implementation and demonstrates the need for a DT approach in this context.

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Section: Digital Twinmentioning

confidence: 99%

Digital Twin: Research Framework to Support Preventive Conservation Policies

Jouan

Hallot

2020

IJGI

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“…The system received environmental data from the WSN through the data analyzer and the localization algorithm module. A similar, more recent approach is described in (Klein, 2017) where more than 200 sensors were installed forming a WSN that environmentally monitored a confined space of the Metropolitan Museum of New York.…”

Section: Sensors and The Internet Of Things In Preventive Conservationmentioning

confidence: 99%

Semantic Representation and Internet of Things in Cultural Heritage Preventive Conservation

Michalakis

Moraitou

Aliprantis

2020

CICMS

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Preservation of Cultural Heritage (CH) collections in the best possible condition for the longest time possible is a crucial part of CH Institutions activity, since it ensures artefacts’ effective function in perpetuity. In this context, preservation processes that do not include any physical interaction with an object or collection can be regarded as preventive conservation. Preventive conservation measures and activities include among others the monitoring and management of environmental factors, in order to reduce potential risks of collections condition. The advent of the Internet of Things (IoT) can help towards this goal by automating the collection of data through sensors deployed in the cultural space and providing available services based on the IoT ecosystem. IoT technologies can facilitate the preventive conservation of tangible CH by exploiting streaming data produced by networks of sensors that keep track of changes in environmental parameters of a particular museum, in order to monitor the condition of its collections. Moreover, Semantic Web (SW) technologies could increase the efficiency of sensed data management by introducing reasoning mechanisms that will result in useful inferences regarding the combination of long-term or short-term records of sensed data and material decay. This work summarizes current state-of-the-art frameworks and monitoring systems that collect data from sensors in CH environments and the use of semantic web technologies for the efficient management of conservation and sensor data. Based on this study, it proposes an IoT infrastructure with semantic tools, which aims to enhance preventive conservation science.

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“…Sensors can capture and monitor a wide variety of variables affecting buildings and sites environment. Besides the need to analyse parameters related to climate control within and around CH assets, other categories of sensing devices might attract the attention of Heritage Conservation stakeholders (Klein et al, 2017). As illustrated in a project led by the University of Cordoba (Mesas-Carrascosa et al, 2016), Spain, interior temperature and relative humidity, the external climatic conditions and spaces' occupancy can be monitored in relation to the configuration of the site to better understand their interrelation.…”

Section: Sensing and Cultural Heritagementioning

confidence: 99%

Digital Twin: A Hbim-Based Methodology to Support Preventive Conservation of Historic Assets Through Heritage Significance Awareness

Jouan¹,

Hallot²

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> During preliminary phases of conservation projects, a considerable amount of heterogeneous datasets are produced, gathered, analysed and interpreted. Abundant researches have gradually proven that Historic Building Information Modelling (HBIM) is a relevant alternative for the collaborative management of information related to existing structures. Apart from the obvious benefits of HBIM for information exchange among stakeholders during conservation project, the potential of such processes to support preservation strategies should not be neglected. Moreover, the recent developments of HBIM web-interfaces illustrate the need for additional investigation in strengthening the relationships between the digital model and the real-world to better support preventive conservation of heritage places. Besides, values-based approaches for the elaboration of conservation strategies have been gradually adopted in the last decades, both in academic and professional sector. In this paper, we propose a comprehensive methodology to structure and integrate the cultural significance of tangible and intangible elements into HBIM models to be further taken into account in the analysis and simulation of data. This article suggests the application of Digital Twin (DT) principles to support site managers in the preventive conservation of their assets. Based on the analysis and simulations of data captured by onsite sensors, threats to the site integrity and corresponding preventive solution can be predicted in the DT environment. The integration and structuration of Heritage Values in HBIM models allow further evaluation process to estimate the impact of each suggested interventions on the conservation of features of significance.</p>

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Wireless Sensor Platform for Cultural Heritage Monitoring and Modeling System

Cited by 31 publications

References 41 publications

Digital Twin: Research Framework to Support Preventive Conservation Policies

Digital Twin: Research Framework to Support Preventive Conservation Policies

Semantic Representation and Internet of Things in Cultural Heritage Preventive Conservation

Digital Twin: A Hbim-Based Methodology to Support Preventive Conservation of Historic Assets Through Heritage Significance Awareness

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