دانلود رایگان مقاله انگلیسی یک رویکرد نظارتی بر اساس اینترنت اشیا برای سایت های میراث فرهنگی: شهر ماترا - وایلی 2017

عنوان فارسی
یک رویکرد نظارتی بر اساس اینترنت اشیا برای سایت های میراث فرهنگی: یک مورد در شهر ماترا
عنوان انگلیسی
An IoT-based monitoring approach for cultural heritage sites: The Matera case
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
13
سال انتشار
2017
نشریه
وایلی - Wiley
فرمت مقاله انگلیسی
PDF
کد محصول
E7741
رشته های مرتبط با این مقاله
مهندسی کامپیوتر، فناوری اطلاعات
گرایش های مرتبط با این مقاله
اینترنت و شبکه های گسترده، شبکه های کامپیوتری
مجله
همبستگی و محاسبات: تمرین و تجربه - Concurrency and Computation: Practice and Experience
دانشگاه
Dipartimento di Informatica - Elettronica e Bioingegneria - Politecnico di Milano - Italy
کلمات کلیدی
حفاظت از سایت میراث فرهنگی، اینترنت اشیا، عوامل Markovian، ارزیابی عملکرد
چکیده

Summary


Protection and preservation of cultural heritage is an important responsibility for policy makers, public and private institutions, and the citizens themselves. Technologists can make an important contribution by designing monitoring systems for these sites and using the data to prevent incidents. Internet-of-things technology offers, for a sustainable price and with significant flexibility, a wide range of different possibilities, fitting different circumstances: from monitoring the environmental parameters of a room in a museum to sensing structural changes in a historical building and to protecting vulnerable artifacts. In this paper, we consider the case of monitoring an extended cultural heritage area: a UNESCO protected site, the center of Matera, an Italian town that will be a European Capital of Culture in 2019. This city is a unique historical settlement, as buildings are partially carved into the rock that constitutes the geological substrate of the area, a local practice used since the prehistoric age. The extent and density of these structures makes the physical protection of the site a big challenge when the expected large crowds of tourists arrive. The objective of the proposed system is to anticipate the threats in a timely manner so that appropriate actions are taken by the authorities thus avoiding damage to the cultural heritage sites. We propose a technique for modeling the performances of the Internet-of-things–based monitoring systems that support the planning of incident management in a protected site by exploiting multiple, sparse, heterogeneous, and partially controlled sensors to monitor the behavior of the crowd. The technique is based on the use of Markovian agent models to study the parameters and the dynamics of a scenario, to understand the needs of the monitoring system.

نتیجه گیری

6 CONCLUSIONS


In this paper, we proposed a study for a system in which IoT devices are used to monitor and protect a cultural heritage site such as the city of Matera, in Italy. The main feature of this work has been the use of a single model that is able to capture, at an high level, a large number of interacting entities of different types: IoT devices, visitors, sites, attackers, protectors, spatial topology, and interconnecting networks. Although many components are greatly simplified, they could still allow us to study some realistic scenarios and use them to estimate the performance and properly size and guide the deployment/upgrade of a IoT infrastructure.


The presented results show the impact of the application of the use and of a proper deployment of IoT devices to support the design and the implementation of protection strategies and actions in defense of cultural heritage and relevant sites. The approach is very flexible and provides the specialists with qualitative and quantitative evaluation means of the effectiveness of the designed protection policies.


Future works will concentrate on testing different, more advanced, attack patterns in different locations. The approach will also be improved by integrating it into multiformalism and multisolution modeling methodologies, to simplify the description of the considered scenario and improve the usability of the modeling technique for specialists that are not experts of modeling and performance evaluation.


بدون دیدگاه