Dataset for IoT-based Indoor Air Quality Management System for Intelligent Education Environments

Published: 3 December 2024| Version 1 | DOI: 10.17632/xg5k8tkc96.1
Contributors:
Jesus Rosa-Bilbao, Fatima Sajid Butt, David Merkl, Matthias F. Wagner, Jörg Schäfer, Juan Boubeta-Puig

Description

This is the dataset for our paper entitled “IoT-Based Indoor Air Quality Management System for an Intelligent Education Environment”. This dataset contains the following information: - the flow defined in the low-code platform for IoT, CEP and Blockchain integration (IAQNodeREDFlow.png). - the event patterns defined in the CEP platform for the indoor air quality domain (IAQCEPApp.siddhi). - the smart contract used to store situations of interest in blockchain (ComplexEvents.sol). - the code that reads the air pollution data and applies LSTM to it (Weather_data_analysis.ipynb). The results are also displayed for the trained model. - all complex events generated by the CEP engine from 07/05/2023 to 07/16/2023 (complex_events_07-05-2023_07-16-2023.csv). - a subset of the complex events generated by the CEP engine on 07/06/2023 (complex_events_07-06-2023.csv), which was used to generate a time-processing plot included in the paper (see Figure 5).

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Institutions

Frankfurt University of Applied Sciences, Universidad de Cadiz

Categories

Artificial Intelligence, Wireless Sensor Network, Internet of Things, Health, Indoor Air Pollution, Data Processing, Blockchain

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