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Identification of the Minimum Number of Measurements Required for Thermal Comfort Assessment in Large Workplaces

机译:识别大型工作场所热舒适评估所需的最小测量数量

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Optimization of resources is the key to improve our ability to perform multiple tasks with limited time and money. In the context of thermal comfort assessment, optimization becomes important in large rooms where tens of individuals perform similar tasks. This work focuses on the identification of the minimum number of measurement points that allows an accurate description of the thermal environment. Accuracy of description is assumed if no significant loss of information is associated to the transition from the 'primary' thermal map based on all available measurement points to a 'secondary' thermal map based on a reduced set of measurement points. The concept of 'no significant loss' is quantified by requiring that the difference in PMV (Predicted Mean Vote) between the two maps is kept <0.1 in the vast majority (95%) of points. PMV is a standardized synthetic index that is used worldwide for quantifying thermal comfort (ISO 7730, 2005) taking into account both environmental (thermo-hygrometric) and personal (activity, clothing) quantities.
机译:优化资源是提高我们在有限时间和金钱上执行多个任务的能力的关键。在热舒适评估的背景下,在数十个人执行类似任务的大房间中,优化变得很重要。这项工作着重于识别最小测量点数量,该测量点允许对热环境进行准确描述。如果基于所有可用的测量点,基于降低的测量点集,基于所有可用测量点到“次级”热图与“初级”热图的过渡没有明显的信息丢失,则假定描述的准确性。通过要求在绝大多数积分(95%)中保持<0.1的PMV(预测平均投票)之间的差异来量化“无重大损失”的概念。 PMV是一个标准化的合成指数,可考虑到环境(热杂尺)和个人(活动,服装)数量,用于量化热舒适度(ISO 7730,2005)。

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