Armentia Aintzane, Gangoiti Unai, Priego Rafael, Estévez Elisabet, Marcos Marga
Automatic Control & Systems Engineering Department, ETSI Bilbao, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain.
Electronic and Automation Engineering Department, University of Jaen (UJA), 23071 Jaén, Spain.
Sensors (Basel). 2015 Dec 17;15(12):31939-64. doi: 10.3390/s151229899.
In developed countries, public health systems are under pressure due to the increasing percentage of population over 65. In this context, homecare based on ambient intelligence technology seems to be a suitable solution to allow elderly people to continue to enjoy the comforts of home and help optimize medical resources. Thus, current technological developments make it possible to build complex homecare applications that demand, among others, flexibility mechanisms for being able to evolve as context does (adaptability), as well as avoiding service disruptions in the case of node failure (availability). The solution proposed in this paper copes with these flexibility requirements through the whole life-cycle of the target applications: from design phase to runtime. The proposed domain modeling approach allows medical staff to design customized applications, taking into account the adaptability needs. It also guides software developers during system implementation. The application execution is managed by a multi-agent based middleware, making it possible to meet adaptation requirements, assuring at the same time the availability of the system even for stateful applications.
在发达国家,由于65岁以上人口比例不断增加,公共卫生系统面临压力。在这种背景下,基于环境智能技术的家庭护理似乎是一种合适的解决方案,既能让老年人继续享受家中的舒适,又有助于优化医疗资源。因此,当前的技术发展使得构建复杂的家庭护理应用成为可能,这些应用除其他外,还需要灵活性机制,以便能够随着环境的变化而发展(适应性),并在节点故障时避免服务中断(可用性)。本文提出的解决方案在目标应用的整个生命周期内应对这些灵活性要求:从设计阶段到运行时。所提出的领域建模方法允许医护人员在考虑适应性需求的情况下设计定制应用。它还在系统实施过程中指导软件开发人员。应用程序的执行由基于多智能体的中间件管理,这使得满足适应性要求成为可能,同时确保系统即使对于有状态应用程序也具有可用性。