一种使用视觉SLAM和语义分割的快速空间平均辐射温度映射框架
An Expeditious Spatial Mean Radiant Temperature Mapping Framework using Visual SLAM and Semantic Segmentation
AI总结：
本文提出一种结合视觉SLAM与语义分割的MRT测量框架，通过构建3D热点云并利用Grounded SAM提取温度特征，实现了比传统方法更快速高效的空间MRT映射与验证。
摘要：
确保热舒适度对于建筑环境中个人的健康和生产力至关重要。在各种热舒适度指标中，平均辐射温度（MRT）非常具有测量挑战性。最常见的测量方法耗时且不易于使用。为了解决这个问题，本文提出了一种新颖的MRT测量框架，该框架使用视觉同步定位与建图（SLAM）和语义分割技术。所提出的方法遵循使用表面温度和角系数的传统MRT计算方法的经验法则。然而，它采用视觉SLAM并创建了具有丰富表面温度信息的3D热点云。然后，该框架实施了Grounded SAM，这是一种新的目标检测和分割工具，用于提取建筑表面上具有不同温度分布的特征。对热特征的详细分割不仅减少了MRT计算中的潜在误差，而且提供了室内环境中空间MRT分布的高效重建。我们还使用参考测量方法验证了计算结果。这种数据驱动的框架提供了比传统方法更快、更高效的MRT测量和空间映射。它可以使研究人员和从业者直接参与MRT测量，并有助于热舒适度以及辐射冷暖系统的研究。
英文摘要：
Ensuring thermal comfort is essential for the well-being and productivity of individuals in built environments. Of the various thermal comfort indicators, the mean radiant temperature (MRT) is very challenging to measure. Most common measurement methodologies are time-consuming and not user-friendly. To address this issue, this paper proposes a novel MRT measurement framework that uses visual simultaneous localization and mapping (SLAM) and semantic segmentation techniques. The proposed approach follows the rule of thumb of the traditional MRT calculation method using surface temperature and view factors. However, it employs visual SLAM and creates a 3D thermal point cloud with enriched surface temperature information. The framework then implements Grounded SAM, a new object detection and segmentation tool to extract features with distinct temperature profiles on building surfaces. The detailed segmentation of thermal features not only reduces potential errors in the calculation of the MRT but also provides an efficient reconstruction of the spatial MRT distribution in the indoor environment. We also validate the calculation results with the reference measurement methodology. This data-driven framework offers faster and more efficient MRT measurements and spatial mapping than conventional methods. It can enable the direct engagement of researchers and practitioners in MRT measurements and contribute to research on thermal comfort and radiant cooling and heating systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
