SUSTAIN: Sensor-based Unified Simulation Techniques for Advanced In-building Networks
SUSTAIN: Sensor-based Unified Simulation Techniques for Advanced In-building Networks
批准号:
521555-2018
负责人:
Wainer, Gabriel
金额:
$14.93万
依托单位:
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
现代建筑自动化系统在从几秒到数年的时间尺度和从房间到社区的空间尺度上收集和存储海量数据。但促进这些数据的管理和可视化的工具还处于初级阶段。已经非常清楚的是,仅有数据可用性并不能显著改善建筑物的运营方式。重点往往是展示原始数据,而不是提供新的工具来提高建筑性能。拟议的研究应产生直观的、信息量大的和教育的可视化方法,包括建筑信息建模(BIM)软件、数据采集和控制以及高级可视化。研究的重点是集成这些不同技术的新机制,使用模拟作为探索不同设计方案和改进建筑运营的手段。我们将定义和开发新的方法来集成实时传感器数据、基于先进的可穿戴传感器的入住率信息和入住者的便携式设备(以及建筑物网络)。这些数据将与建筑中的参数信息相结合,以构建既可用于仿真又可用于控制的正式模型。正式模型将提供分析结果,这些结果随后将用于各种模拟,并随后部署在高级3D BIM可视化环境中(在建筑和校园级别)。我们将在卡尔顿大学的四个测试建筑中进行真实的实验。Autodesk Research将在其BIM工具中使用这些结果,以允许建筑、工程、施工和运营(AECO)专业人员分析实时数据,并将建模结果和分析结果可视化到他们的实际设计中,从而改进整个流程。
英文摘要
Modern building automation systems collect and store vast amounts of data in temporal scales ranging from seconds to multiple years and spatial scales ranging from rooms to communities. But tools that facilitate management and visualization of these data are in their infancy. It has become abundantly clear that data availability alone has not significantly improved the way buildings are operated. Emphasis tends to be on presenting raw data, rather than providing new tools for improving building performance. The proposed research shall yield intuitive, informative, and educational visualization methods including Building Information Modeling (BIM) software, data acquisition and control, and advanced visualization. The research focuses on new mechanisms for integrating these different techniques, using simulation as the means for exploring different design options and improvement in building operations. We will define and develop new methods for the integration of real-time sensor data, occupancy information based on advanced wearable sensors and occupants' portable devices (and the buildings networks). These data will be combined with parametric information from the building to construct formal models that can be used for both simulation and control. The formal models will provide analytic results that will be then be used for a variety of simulations and later deployed in advanced 3D BIM visualization environments (at the building and campus levels). We will conduct real experimentation in the four test buildings at Carleton University. The results will be used by Autodesk Research in their BIM tools to allow Architecture, Engineering, Construction, and Operations (AECO) professionals to analyze real-time data and visualize the modeling results and the analysis results into their actual designs, improving the overall process.
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会议论文
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批准号:551055-2020
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项目类别:Alliance Grants
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资助金额:$3.64万
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负责人:Wainer, Gabriel
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依托单位:
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批准号:551070-2020
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资助金额:$3.64万
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负责人:Wainer, Gabriel
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依托单位:
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项目类别:Alliance Grants
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资助金额:$3.64万
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财政年份:2019
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SUSTAIN: Sensor-based Unified Simulation Techniques for Advanced In-building Networks
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批准号:521555-2018
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项目类别:Strategic Projects - Group
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资助金额:$15.01万
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负责人:Wainer, Gabriel
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依托单位:
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.64万
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财政年份:2018
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依托单位:
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资助金额:$1.82万
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依托单位:
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资助金额:$3.64万
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财政年份:2017
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依托单位:
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资助金额:$3.64万
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财政年份:2016
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依托单位:
Advanced Methodologies for Real-Time Discrete Event Modelling and Simulation
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Advanced Distributed Algorithms for COMP in LTE networks
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国内基金
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