Remote sensing of indoor thermal environment from outside the building through window opening gap by using infrared camera

Chen, Xiaomeng; Zou, Ziwei; Hao, Fulin; Wang, Yan; Mei, Chuansong; Zhou, Yuhan; Wang, Da; Yang, Xudong

doi:10.1016/j.enbuild.2023.112975

Cited by 7 publications

(1 citation statement)

References 38 publications

(29 reference statements)

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“…Window monitoring using TIR cameras can overcome the limitations of optical cameras and is especially useful in observing window states at night. Chen et al [77] created a remote sensing method based on TIR cameras to identify indoor temperatures. The results demonstrated that full-opening window IR images could clearly quantify the indoor temperature in the heating, excessive, and cooling states.…”

Section: Ventilation On Demandmentioning

confidence: 99%

Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review

Yang

Zhu

et al. 2023

Sensors

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Artificial intelligence technologies such as computer vision (CV), machine learning, Internet of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies provide non-contact measurements in three areas: indoor environmental monitoring, outdoor environ-mental monitoring, and equipment monitoring. This paper summarizes the specific applications of non-contact measurement based on infrared images and visible images in the areas of personnel skin temperature, position posture, the urban physical environment, building construction safety, and equipment operation status. At the same time, the challenges and opportunities associated with the application of CV technology are anticipated.

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Section: Ventilation On Demandmentioning

confidence: 99%