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Conference Paper
A Case Study on the Generation of Big Data and Carbon Dioxide Concentration Analysis on Office Air Quality Using a Simple Monitor System
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- Authors
- Yo Han Choi, Hyunjong Kim, Kangil Choi, Suyoung Chi
- Issue Date
- 2024-08
- Citation
- International Conference on Big Data Applications and Services (BigDAS) 2024, pp.9-16
- Language
- English
- Type
- Conference Paper
- Abstract
- We report the results of collecting and analyzing data related to indoor air quality using a simple monitoring device. Office air data such as carbon dioxide, temperature, and humidity were collected every minute for four weeks. Through this, 111,975 data were obtained. Of these, 37,325 carbon dioxide concentration data were analyzed by time zone. Various machine learning algorithms and deep learning methods are presented to predict and respond to fluctuations in indoor carbon dioxide concentrations.
- KSP Keywords
- Big Data, Carbon dioxide concentration, Case studies, Learning methods, Machine Learning Algorithms, Monitor system, Monitoring device, Time zone, analyzing data, deep learning(DL), indoor air quality