计算机视觉技术在室内外环境和暖通空调设备监测中的应用：综述

School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.

Department of Game Design, Faculty of Arts, Uppsala University, SE-62167 Uppsala, Sweden.

Sensors (Basel). 2023 Jul 6;23(13):6186. doi: 10.3390/s23136186.

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.

近年来，人工智能技术如计算机视觉（CV）、机器学习、物联网（IoT）和机器人技术发展迅速。这些新技术在三个领域提供了非接触式测量：室内环境监测、室外环境监测和设备监测。本文总结了基于红外图像和可见图像的非接触式测量在人员皮肤温度、位置姿势、城市物理环境、建筑施工安全和设备运行状态等领域的具体应用。同时，还预计了 CV 技术应用所面临的挑战和机遇。