SmartSEAL:一个基于ROS的家庭自动化框架,用于智能建筑中的异构设备互连

E. Bellocchio, G. Costante, S. Cascianelli, P. Valigi, T. A. Ciarfuglia
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引用次数: 8

摘要

本文介绍了为国家级海豹工程开发的SmartSEAL互联系统。SEAL是一个研究项目,旨在为建筑能源管理、用户定制和提高居民安全开发家庭自动化(HA)解决方案。高可用性系统的主要问题之一是商业设备使用的通信标准范围很广。这通常迫使设计师从几个品牌中选择设备,限制了系统的范围和功能。在这种情况下,SmartSEAL是一个旨在集成异构设备的框架,例如来自不同供应商的传感器和执行器,提供易于实现和动态配置的网络特性、协议和接口。我们系统的核心是一个名为机器人操作系统(ROS)的机器人中间件。我们针对HA问题调整了ROS特性,为这种特殊需求设计了网络和协议体系结构。这些软件基础设施支持复杂的HA功能,这些功能只能利用不同设备提供的服务来实现。该系统已经在我们的实验室进行了测试,并安装在两个真实的环境中,分别是斯基奥的福加扎罗宫和马洛的“Le Case”儿童学校。由于SEAL项目的目标之一是根据用户需求对建筑环境进行个性化,并学习他们的行为模式,因此在本工作的最后一部分,我们还描述了正在进行的设计和实验,以提供基于机器学习的重新识别模块,该模块使用卷积神经网络(cnn)实现。适配模块的描述是对SmartSEAL系统描述的补充,有助于理解如何通过适配模块开发复杂的高可用性业务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SmartSEAL: A ROS based home automation framework for heterogeneous devices interconnection in smart buildings
With this paper we present the SmartSEAL inter-connection system developed for the nationally founded SEAL project. SEAL is a research project aimed at developing Home Automation (HA) solutions for building energy management, user customization and improved safety of its inhabitants. One of the main problems of HA systems is the wide range of communication standards that commercial devices use. Usually this forces the designer to choose devices from a few brands, limiting the scope of the system and its capabilities. In this context, SmartSEAL is a framework that aims to integrate heterogeneous devices, such as sensors and actuators from different vendors, providing networking features, protocols and interfaces that are easy to implement and dynamically configurable. The core of our system is a Robotics middleware called Robot Operating System (ROS). We adapted the ROS features to the HA problem, designing the network and protocol architectures for this particular needs. These software infrastructure allows for complex HA functions that could be realized only levering the services provided by different devices. The system has been tested in our laboratory and installed in two real environments, Palazzo Fogazzaro in Schio and “Le Case” childhood school in Malo. Since one of the aim of the SEAL project is the personalization of the building environment according to the user needs, and the learning of their patterns of behaviour, in the final part of this work we also describe the ongoing design and experiments to provide a Machine Learning based re-identification module implemented with Convolutional Neural Networks (CNNs). The description of the adaptation module complements the description of the SmartSEAL system and helps in understanding how to develop complex HA services through it.
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