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Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services

机译:基于物联网的紧急医疗服务信息系统中的无处不在数据访问方法

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The rapid development of Internet of things (IoT) technology makes it possible for connecting various smart objects together through the Internet and providing more data interoperability methods for application purpose. Recent research shows more potential applications of IoT in information intensive industrial sectors such as healthcare services. However, the diversity of the objects in IoT causes the heterogeneity problem of the data format in IoT platform. Meanwhile, the use of IoT technology in applications has spurred the increase of real-time data, which makes the information storage and accessing more difficult and challenging. In this research, first a semantic data model is proposed to store and interpret IoT data. Then a resource-based data accessing method (UDA-IoT) is designed to acquire and process IoT data ubiquitously to improve the accessibility to IoT data resources. Finally, we present an IoT-based system for emergency medical services to demonstrate how to collect, integrate, and interoperate IoT data flexibly in order to provide support to emergency medical services. The result shows that the resource-based IoT data accessing method is effective in a distributed heterogeneous data environment for supporting data accessing timely and ubiquitously in a cloud and mobile computing platform.
机译:物联网(IoT)技术的飞速发展使得可以通过Internet将各种智能对象连接在一起,并为应用目的提供更多的数据互操作性方法。最近的研究表明,物联网在信息密集型工业领域(如医疗服务)具有更多潜在应用。然而,物联网中对象的多样性导致物联网平台中数据格式的异构性问题。同时,物联网技术在应用中的使用刺激了实时数据的增长,这使得信息存储和访问变得更加困难和挑战。在这项研究中,首先提出了一个语义数据模型来存储和解释物联网数据。然后设计了一种基于资源的数据访问方法(UDA-IoT)以广泛获取和处理IoT数据,以提高对IoT数据资源的可访问性。最后,我们提出了一种基于物联网的紧急医疗服务系统,以演示如何灵活地收集,集成和互操作物联网数据,以便为紧急医疗服务提供支持。结果表明,基于资源的IoT数据访问方法在分布式异构数据环境中是有效的,可支持在云和移动计算平台中及时广泛地访问数据。

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