Internet of Things for Indoor Air Quality Monitoring
Saini, Jagriti.
Internet of Things for Indoor Air Quality Monitoring [electronic resource] / by Jagriti Saini, Maitreyee Dutta, Gonçalo Marques. - 1st ed. 2021. - XIII, 82 p. 7 illus., 6 illus. in color. online resource. - SpringerBriefs in Computational Intelligence, 2625-3712 . - SpringerBriefs in Computational Intelligence, .
This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health andwell-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.
9783030822163
10.1007/978-3-030-82216-3 doi
Cooperating objects (Computer systems).
Environment.
Engineering--Data processing.
Computational intelligence.
Artificial intelligence.
Cyber-Physical Systems.
Environmental Sciences.
Data Engineering.
Computational Intelligence.
Artificial Intelligence.
TK7895.E42 TK5105.8857
621.38
Internet of Things for Indoor Air Quality Monitoring [electronic resource] / by Jagriti Saini, Maitreyee Dutta, Gonçalo Marques. - 1st ed. 2021. - XIII, 82 p. 7 illus., 6 illus. in color. online resource. - SpringerBriefs in Computational Intelligence, 2625-3712 . - SpringerBriefs in Computational Intelligence, .
This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health andwell-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.
9783030822163
10.1007/978-3-030-82216-3 doi
Cooperating objects (Computer systems).
Environment.
Engineering--Data processing.
Computational intelligence.
Artificial intelligence.
Cyber-Physical Systems.
Environmental Sciences.
Data Engineering.
Computational Intelligence.
Artificial Intelligence.
TK7895.E42 TK5105.8857
621.38