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

被引：12

作者：

Yang, Bin ^{[1
]}

Yang, Shuang ^{[1
]}

Zhu, Xin ^{[1
]}

Qi, Min ^{[1
]}

Li, He ^{[1
]}

Lv, Zhihan ^{[2
]}

Cheng, Xiaogang ^{[3
]}

Wang, Faming ^{[4
]}

机构：

[1] Tianjin Chengjian Univ, Sch Energy & Safety Engn, Tianjin 300384, Peoples R China

[2] Uppsala Univ, Fac Arts, Dept Game Design, SE-62167 Uppsala, Sweden

[3] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210042, Peoples R China

[4] Katholieke Univ Leuven, Dept Biosyst, B-3001 Leuven, Belgium

来源：

SENSORS | 2023年 / 23卷 / 13期

基金：

中国国家自然科学基金;

关键词：

computer vision; behavior patterns; remote sensing; equipment health monitoring; fault diagnosis and detection; non-contact measurement; GOOGLE STREET VIEW; URBAN HEAT-ISLAND; INDIRECT EVAPORATIVE COOLER; THERMAL COMFORT; SKIN TEMPERATURE; SKY; MODEL; SYSTEM; TIME; BODY;

D O I：

10.3390/s23136186

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

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