Developing Intelligent Environments: A Development Tool Chain for Creation, Testing and Simulation of Smart and Intelligent Environments

L. Roalter, Andreas Möller, Stefan Diewald, M. Kranz
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引用次数: 32

Abstract

Advances in the fields of distributed computing, wireless sensor networks, ubiquitous computing and many more have facilitated the development of a plenitude of Intelligent Environments (IE). The development processes, underlying tools and methods have however not yet been in the focus of researchers. A significant amount of time has to be spent for building a novel ecology of distributed systems to form an Intelligent Environment to conduct novel research in. A sophisticated middleware can shift the focus from building to research. Yet, a middleware is only one of the many requirements for leveraging the development process of Intelligent Environments. In this paper, we present a complete tool chain to simplify research on Intelligent Environments and to ease their creation. This tool chain consists out of middleware, simulation, visualization and prototyping tools. We start by modeling the physical environment using a CAD software and visualization tool including physical properties. The tool chain is complemented by a middleware and a sophisticated simulation environment allowing e.g. to simulate mobile phone interactions triggering, and the deployment to the real-world events. For developers and researchers of Intelligent Environments, creation and maintenance of Intelligent Environments is significantly improved. Development is speeded up as algorithms, interaction can be already evaluated and tested in simulation before the deployment to the real world.
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开发智能环境:用于创建、测试和模拟智能和智能环境的开发工具链
分布式计算、无线传感器网络、普适计算等领域的进步促进了大量智能环境(IE)的发展。然而,开发过程、底层工具和方法尚未成为研究人员关注的焦点。构建分布式系统的新生态,形成进行新研究的智能环境,需要花费大量的时间。复杂的中间件可以将重点从构建转移到研究。然而,中间件只是利用智能环境开发过程的众多需求之一。在本文中,我们提出了一个完整的工具链,以简化智能环境的研究和简化它们的创建。这个工具链由中间件、仿真、可视化和原型工具组成。我们首先使用CAD软件和可视化工具对物理环境进行建模,包括物理特性。工具链由中间件和复杂的模拟环境补充,例如,允许模拟手机交互触发,并部署到现实世界的事件。对于智能环境的开发人员和研究人员来说,智能环境的创建和维护得到了显著改善。在部署到现实世界之前,算法、交互可以在模拟中进行评估和测试,从而加快了开发速度。
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