ThermalSense: determining dynamic thermal comfort preferences using thermographic imaging
ThermalSense: determining dynamic thermal comfort preferences using thermographic imaging
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ThermalSense：使用热成像确定动态热舒适度偏好
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
James Scott
中科院分区：
文献类型：
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作者：
Juhi Ranjan;James Scott
我们提出ThermalSense，一种动态检测和预测热舒适的方法，通过使用热成像来寻找血管舒张或血管收缩的生理标记。我们描述了如何使用ThermalSense来推断如何控制加热和冷却系统，并在保持舒适的同时减少能源使用。我们对ThermalSense进行了评估，对30个人进行了为期5周的办公楼研究。我们的研究表明，在大约40%的情况下，暖通空调系统本可以消耗更少的能量来达到舒适。它进一步表明，热成像成像可以用来推断是否加热或冷却必须激活以保持舒适，精度为94-95%。
We present ThermalSense, a method for dynamically detecting and predicting thermal comfort by using thermographic imaging to look for the physiological markers of vasodilation or vasoconstriction. We describe how ThermalSense can be used to infer how to control heating and cooling systems and reduce energy use while maintaining comfort. We evaluate ThermalSense using a study involving thirty individuals over five weeks in an office building. Our study shows that, on around 40% of occasions, the HVAC system could have expended less energy to achieve comfort. It further demonstrates that thermographic imaging can be used to infer whether heating or cooling must be activated to maintain comfort, with an accuracy of 94-95%.