Predictive preservation of historic buildings through IoT-based system

Casillo, Mario; Guida, Caterina Gabriella; Lombardi, Marco; Lorusso, Angelo; Marongiu, Francesco; Santaniello, Domenico

doi:10.1109/melecon53508.2022.9842965

Cited by 12 publications

(3 citation statements)

References 15 publications

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“…Those who work in the field of documentation and return multi-scale and multi-resolution models will surely have noticed that the homogenization of the geometric properties of data deriving from heterogeneous sources is particularly burdensome and there is no universally acceptable pipeline to solve the problem. The approaches are in fact related to the use of point clouds, which often constitute input data for subsequent analyses or for source-based modelling (Casillo, Colace, et al, 2022;Casillo, Guida, et al, 2022). The proposed methodology aims to obtain homologous models, produced with different tools, and returned in the form of point clouds, which present optimized noise levels compared to a reference dataset.…”

Section: Goalsmentioning

confidence: 99%

An Effective Approach for Point Cloud Denoising in Integrated Surveys

di Filippo,

Antinozzi,

Limongiello

et al. 2024

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

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Abstract. Outliers and noise in point cloud data are unavoidable due to intrinsic and/or extrinsic survey factors. Significant errors may result from false geometry produced by a collection of anomalies, compounded by sparse structure, irregular densities, and lack of geometric cohesion typical of point clouds nature. Thus, filtering techniques on raw data are required to produce accurate point clouds suitable for further processing. This objective is pursued in the following study through a comparative analysis between two registered clouds, one obtained from TLS, used as reference dataset and the other – to be filtered – from SLAM system. Four steps make up the workflow: analysing the comparison models’ geometric attributes, specifically surface density and roughness; constructing statistical tolerance limits for the TLS cloud’s roughness distribution; cleaning the SLAM cloud; assessing the filtering outcomes. Our efforts to effectively remove and mitigate noise, while preserving the original detail features of the object surface, have been driven by the detailed articulation of point cloud denoising approaches that have been introduced in recent years. However, in this wide context, our goal is not to provide a review or to explore the details of the various methods; rather, we want to offer a simple yet efficient method for obtaining an integrated model with a uniform noise level. This can be especially useful when the data from the survey will later be used in source-based modelling.

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Section: Goalsmentioning

confidence: 99%

An Effective Approach for Point Cloud Denoising in Integrated Surveys

di Filippo,

Antinozzi,

Limongiello

et al. 2024

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

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“…The application of the IoT allows for the permanent monitoring of buildings with real-time readings accessible at a distance. Although the permanent monitoring of buildings for indoor environment data with lowcost sensors can be easily found in the literature, as exemplified in the works applied to historic buildings by Casillo et al [23], in museums of Chianese et al [24] and Amato et al [25] and in the facility management of Valinejadshoubi et al [26], for dynamic data, permanent readings with the support of the IoT in buildings have been less expressed in research papers; however, there has been an increase in applications, as is the case of Pierleoni et al [10]. However, in heritage, due to the severe restrictions to which the buildings are subjected to, the application of such monitoring has had minor presence in practice according to Mobaraki et al [19].…”

Section: Literature Reviewmentioning

confidence: 99%

A BIM-Based Model for Structural Health Monitoring of the Central Body of the Monserrate Palace: A First Approach

et al. 2023

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The preservation and safeguarding of built cultural heritage is a permanent concern for institutions. These structures were generally poorly prepared for movement triggered by natural disasters, a situation further complicated in the case of earthquakes, as each building has a unique structural dynamic linked to its geometry, materials, method of construction and environmental conditions. The use of structural health monitoring (SHM) systems integrating monitoring techniques as well as inspection and structural analyses has gained great relevance in the appearance of low-cost IoT (Internet of Things) sensors on the market. In this paper, an IoT BIM-based solution is presented for real-time monitoring using low-cost sensors in the scope of building SHM systems. The case study takes place at the central body of the Palace of Monserrate, one of the most distinguished elements of the Cultural Landscape of Sintra. An H-BIM model was created in Autodesk Revit® software (version 2022 and 2023) based on a point cloud, and used as the basis for the numerical model developed in 3MURI. A MeM low-cost sensor was installed on the third floor of the central tower of the Monserrate Palace in Sintra, and the data gathered were recorded in the H-BIM model. The capacity to acquire real-time information on a structure’s vibration, both during normal operation and after an extraordinary occurrence, could allow the application of more effective maintenance and repair practices, resulting in lower operating costs and allowing for the best management of built cultural heritage.

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“…One of the most significant aspects of IoT in spa care is the ability to monitor patients, both inside and outside spa facilities, in real-time through devices such as smartwatches, wristbands, or wearable sensors that collect data on heart rate, body temperature, blood oxygen levels and other vital indicators [24][25][26][27][28]. These data can be transmitted to a centralized monitoring system for accurate and timely analysis [29,30].…”

Section: Introductionmentioning

confidence: 99%

Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness

Casillo,

Cecere,

Colace

et al. 2024

Computers

Self Cite

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Integrating modern and innovative technologies such as the Internet of Things (IoT) and Machine Learning (ML) presents new opportunities in healthcare, especially in medical spa therapies. Once considered palliative, these therapies conducted using mineral/thermal water are now recognized as a targeted and specific therapeutic modality. The peculiarity of these treatments lies in their simplicity of administration, which allows for prolonged treatments, often lasting weeks, with progressive and controlled therapeutic effects. Thanks to new technologies, it will be possible to continuously monitor the patient, both on-site and remotely, increasing the effectiveness of the treatment. In this context, wearable devices, such as smartwatches, facilitate non-invasive monitoring of vital signs by collecting precise data on several key parameters, such as heart rate or blood oxygenation level, and providing a perspective of detailed treatment progress. The constant acquisition of data thanks to the IoT, combined with the advanced analytics of ML technologies, allows for data collection and precise analysis, allowing real-time monitoring and personalized treatment adaptation. This article introduces an IoT-based framework integrated with ML techniques to monitor spa treatments, providing tailored customer management and more effective results. A preliminary experimentation phase was designed and implemented to evaluate the system’s performance through evaluation questionnaires. Encouraging preliminary results have shown that the innovative approach can enhance and highlight the therapeutic value of spa therapies and their significant contribution to personalized healthcare.

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Predictive preservation of historic buildings through IoT-based system

Cited by 12 publications

References 15 publications

An Effective Approach for Point Cloud Denoising in Integrated Surveys

An Effective Approach for Point Cloud Denoising in Integrated Surveys

A BIM-Based Model for Structural Health Monitoring of the Central Body of the Monserrate Palace: A First Approach

Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness

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