面向医疗物联网应用的基于模型的药品分配器数字孪生
Model-based Digital Twins of Medicine Dispensers for Healthcare IoT Applications
AI总结：
本文提出基于模型的药品分配器数字孪生方法，以替代物理设备实现医疗物联网应用的大规模自动化测试，实验表明其行为与物理分配器相似度超过92%。
摘要：
结合物联网（IoT）的医疗应用通常具有安全关键性，因此需要广泛的测试。此类应用常常与来自不同供应商的智能医疗设备相连接。对此类应用进行系统级测试需要物理集成医疗设备的测试基础设施，这在时间和资金方面代价高昂。此外，应用会持续演进，例如引入新设备和用户以及更新软件。然而，仅支持少数设备进行测试的测试基础设施不足以测试医疗物联网系统，从而损害其可信赖性。在本文中，我们提出了一种基于模型的方法，用于创建和运行药品分配器的数字孪生（DTs），以替代物理设备，支持物联网应用的大规模自动化测试。我们在奥斯陆市及其工业合作伙伴为居民提供医疗服务的背景下，使用一个包含药品分配器的工业物联网系统对该方法进行了评估。我们研究了数字孪生在功能相似性方面与其物理对应物（药品分配器）的保真度。结果表明，数字孪生的行为与物理药品分配器的相似度超过92%，为分配器提供了忠实的替代品。
英文摘要：
Healthcare applications with the Internet of Things (IoT) are often safety-critical, thus, require extensive testing. Such applications are often connected to smart medical devices from various vendors. System-level testing of such applications requires test infrastructures physically integrating medical devices, which is time and monetary-wise expensive. Moreover, applications continuously evolve, e.g., introducing new devices and users and updating software. Nevertheless, a test infrastructure enabling testing with a few devices is insufficient for testing healthcare IoT systems, hence compromising their dependability. In this paper, we propose a model-based approach for the creation and operation of digital twins (DTs) of medicine dispensers as a replacement for physical devices to support the automated testing of IoT applications at scale. We evaluate our approach with an industrial IoT system with medicine dispensers in the context of Oslo City and its industrial partners, providing healthcare services to its residents. We study the fidelity of DTs in terms of their functional similarities with their physical counterparts: medicine dispensers. Results show that the DTs behave more than 92% similar to the physical medicine dispensers, providing a faithful replacement for the dispenser.
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