Buildsense: long-term, fine-grained building monitoring with minimal sensor infrastructure
Buildsense: long-term, fine-grained building monitoring with minimal sensor infrastructure
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DOI：
10.1145/3137133.3137141
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发表时间：
2017-11
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影响因子：
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通讯作者：
R. Cardell-Oliver;Chayan Sarkar
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文献类型：
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作者：
R. Cardell-Oliver;Chayan Sarkar
建筑物可以通过使用太阳能被动式设计、节能结构和材料，或通过优化其运行能源使用来实现能源效率。在每个领域，如果可以使用低成本嵌入式传感器设备捕获建筑物的物理特性及其动态行为，则可以提高效率。这为不同类型的建筑物安装和维护传感器设备带来了新的挑战。在本文中，我们提出了 BuildSense，这是一种结合使用物理和虚拟传感器对建筑物进行细粒度、长期监控的传感框架。不仅降低了传感器的部署和管理成本，还能保证长期使用的细粒度、准确的数据覆盖。我们使用两座夯土房屋的传感器测量值来评估 BuildSense，这些夯土房屋是为具有挑战性的炎热干旱气候而定制设计的，几乎不使用人工加热或冷却。我们证明，BuildSense 可以显着降低永久性物理传感器的成本，同时仍然实现适合用途的准确性和稳定性。
Buildings can achieve energy-efficiency by using solar passive design, energy-efficient structures and materials, or by optimizing their operational energy use. In each of these areas, efficiency can be improved if the physical properties of the building along with its dynamic behavior can be captured using low-cost embedded sensor devices. This opens up a new challenge of installing and maintaining the sensor devices for different types of buildings. In this article, we propose BuildSense, a sensing framework for fine-grained, long-term monitoring of buildings using a mix of physical and virtual sensors. It not only reduces the deployment and management cost of sensors but can also guarantee fine-grained, accurate data coverage for long-term use. We evaluate BuildSense using sensor measurements from two rammed-earth houses that were custom-designed for a challenging hot-arid climate such that almost no artificial heating or cooling is used. We demonstrate that BuildSense can significantly reduce the costs of permanent physical sensors whilst still achieve fit-for-purpose accuracy and stability.