Gas sensor array under dynamic gas mixtures

该数据集包含从16个化学传感器获取的时间序列，这些传感器暴露于浓度变化的气体混合物中。特别是，我们生成了两种气体混合物：空气中的乙烯和甲烷，以及空气中的乙烯和一氧化碳。通过连续采集16个传感器阵列信号持续约12小时来构建每次测量，而不会中断。共享数据集的目的在于提供从化学传感器到传感器和人工智能研究社区的广泛而连续的时间序列，以制定和测试解决各种任务的策略。

This dataset contains time series acquired from 16 chemical sensors exposed to gas mixtures with varying concentrations. In particular, two types of gas mixtures were generated: ethylene and methane in ambient air, as well as ethylene and carbon monoxide in ambient air. Each measurement was constructed by continuously acquiring signals from the 16-sensor array for approximately 12 hours without interruption. The purpose of sharing this dataset is to provide extensive and continuous time series from chemical sensors to the sensor and artificial intelligence research communities, for formulating and testing strategies to solve various tasks.

搜集汇总

背景与挑战

背景概述

该数据集包含16个化学传感器在动态气体混合物环境下的连续时间序列数据，主要研究乙烯/甲烷和乙烯/一氧化碳两种混合物的传感器响应特性，数据采集持续约12小时，采样频率100Hz，专为传感器技术和人工智能研究设计。