促进智能家居的最终用户开发：机器学习驱动的节能管理数字双胞胎

IF 2.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Future Internet Pub Date : 2024-06-14 DOI:10.3390/fi16060208

Luca Cotti, Davide Guizzardi, Barbara Rita Barricelli, Daniela Fogli

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引用次数: 0

摘要

终端用户开发（End-User Development）是多年来提出的一种让终端用户控制和管理智能家居等基于物联网的环境的方法。通过 "终端用户开发"，终端用户能够创建触发行动规则或例行程序，以定制智能家居的行为。然而，迄今为止提出的科学研究并不包括评估用户创建的例程在能耗方面是否合适的方法。本文建议利用机器学习技术建立一个智能家居数字孪生系统，该系统可以预测智能电器的能耗。数字孪生体将允许终端用户模拟与创建例程相关的可能场景。模拟将被用来评估正在创建的例行程序中涉及的电器的激活效果，并根据数字孪生的建议对其进行可能的修改，以节约能源消耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management

End-User Development has been proposed over the years to allow end users to control and manage their Internet of Things-based environments, such as smart homes. With End-User Development, end users are able to create trigger-action rules or routines to tailor the behavior of their smart homes. However, the scientific research proposed to date does not encompass methods that evaluate the suitability of user-created routines in terms of energy consumption. This paper proposes using Machine Learning to build a Digital Twin of a smart home that can predict the energy consumption of smart appliances. The Digital Twin will allow end users to simulate possible scenarios related to the creation of routines. Simulations will be used to assess the effects of the activation of appliances involved in the routines under creation and possibly modify them to save energy consumption according to the Digital Twin’s suggestions.

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来源期刊

Future Internet Computer Science-Computer Networks and Communications

CiteScore

7.10

自引率

5.90%

发文量

303

审稿时长

11 weeks

期刊介绍： Future Internet is a scholarly open access journal which provides an advanced forum for science and research concerned with evolution of Internet technologies and related smart systems for “Net-Living” development. The general reference subject is therefore the evolution towards the future internet ecosystem, which is feeding a continuous, intensive, artificial transformation of the lived environment, for a widespread and significant improvement of well-being in all spheres of human life (private, public, professional). Included topics are: • advanced communications network infrastructures • evolution of internet basic services • internet of things • netted peripheral sensors • industrial internet • centralized and distributed data centers • embedded computing • cloud computing • software defined network functions and network virtualization • cloud-let and fog-computing • big data, open data and analytical tools • cyber-physical systems • network and distributed operating systems • web services • semantic structures and related software tools • artificial and augmented intelligence • augmented reality • system interoperability and flexible service composition • smart mission-critical system architectures • smart terminals and applications • pro-sumer tools for application design and development • cyber security compliance • privacy compliance • reliability compliance • dependability compliance • accountability compliance • trust compliance • technical quality of basic services.