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Sensing and Data-Driven Control for Smart Building and Smart City Systems

机译:智能建筑和智能城市系统的传感和数据驱动控制

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摘要

The emergence of dense networked embedded sensor systems in monitoring and control applications has enabled the collection of data, information processing, decision, and actuation at previously unseen temporal and spatial resolution and scale. The built environment offers significant opportunities and challenges for the application of such intelligent sensor systems with tangible economic, environmental, and social benefits. Buildings in particular, as hallmark of global urbanisation tendencies, have great potential to leverage modern technologies to operate more efficiently and provide better living and working conditions. This addresses, among others, aspects related to energy management, occupancy detection and prediction, safety, and security. At a larger scale, smart city infrastructures are able to implement these advances towards wider benefits in environmental monitoring, traffic management, improved utilities networks, and social services. Design of human-in-the-loop approaches offers citizens valuable direct feedback mechanisms towards the intelligent systems and administrators for real-time adaptation and responsiveness with medium term impact on suitable policy development.
机译:监控和控制应用中密集的联网嵌入式传感器系统的出现使得在以前看不见的时间和空间分辨率和比例上的数据,信息处理,决策和致动能够集合。建筑环境为应用这种智能传感器系统具有有形的经济,环境和社会效益,为应用提供了重要的机会和挑战。特别是建筑物,作为全球城市化倾向的标志,具有巨大的潜力,利用现代技术更有效地运营并提供更好的生活和工作条件。该地址包括与能源管理,占用检测和预测,安全性和安全性有关的方面。在更大的规模中,智能城市基础设施能够在环境监测,交通管理,改进的公用事业网络和社会服务中实现更广泛的利益。人载方法的设计为智能系统和管理员提供了公民的贵重直接反馈机制,以实时适应和对中期影响对适当的政策开发的影响。

著录项

  • 来源
    《Journal of Sensors》 |2019年第2期|共3页
  • 作者单位

    The Department of Automatic Control and Industrial Informatics Faculty of Automatic Control and Computers Politehnica University of Bucharest;

    The Department of Automatic Control and Industrial Informatics Faculty of Automatic Control and Computers Politehnica University of Bucharest;

    The Department for Information Computer Systems and Control Ternopil National Economic University;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP212;
  • 关键词

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