Air Quality Utilizing Indoor AI Sensors (AQUINAS) - Input data

This research provides knowledge on the performance and limitations of low-cost environmental sensors in real usage conditions. The EQ-OX platform will be used and the collected data will be compared to those of the reference station. The main purpose of this research is to compare these data and try to correct them through the use of machine learning algorithms.

本研究围绕低成本环境传感器在实际应用场景中的性能表现与局限性展开探究并提供相关研究成果。本研究将采用EQ-OX平台，将采集得到的传感器数据与参考站的基准观测数据进行对比分析。本研究的核心目标为完成上述数据的比对验证，并借助机器学习算法实现传感器数据的校正优化。