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Publication Detailed Description
Temperature distribution analyses with wireless sensor networks and machine learning
2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)
Year (definitive publication)
2019
Language
English
Country
Portugal
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Abstract
This paper introduces a new way to analyze temperature distribution from an air conditioning unit inside an office using Wireless Sensor Networks and Machine Learning algorithms. The system is able to retrieve real time temperature data and use it to analyze if the air conditioning unit is influencing the temperature inside an office using the temperature difference from various points inside the office. Besides the system architecture, this paper includes a real case scenario implementation and a comparison and discussion of the result for the multiple Machine Learning algorithms applied to categorize if the air conditioner is affecting the office temperature.
Acknowledgements
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Keywords
ESP32,Internet of things,LoRa,Machine learning,Wireless sensor networks
Fields of Science and Technology Classification
- Physical Sciences - Natural Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| ISCTE-IUL-ISTA-BM-2018 | Iscte - Instituto Universitário de Lisboa |
| UID/EEA/50009/2019 | Fundação para a Ciência e a Tecnologia |
