An Efficient Sensory System for Intelligent Gas Monitoring Accurate classification and precise quantification of gases/ odors

A. Mishra, Shiho Kim, N. S. Rajput
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Abstract

Intelligent gas monitoring system is having its widespread applications. It essentially requires an accurate classification with precise quantification of gases/odors. Although, gas sensor arrays are capable of generating signatures however, mostly these signatures are complex and have subtle information. Therefore, in this paper, an efficient sensory system has been proposed for intelligent gas monitoring. Concept of analysis space transformation has been utilized for accurate classification of gases/ odors. Also, the drawback of data preprocessing in quantification has been illustrated by comparing the quantifier performance for the processed and raw responses. Further, the proposed sensory system has elevated the classification accuracy from 96% to 98.74% along with the quantification accuracy from 17.65% to 94%.
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气体/气味的准确分类和精确量化
智能气体监测系统正在得到广泛的应用。它本质上要求对气体/气味进行精确的分类和量化。虽然,气体传感器阵列能够生成签名,然而,大多数这些签名是复杂的,具有微妙的信息。因此,本文提出了一种高效的气体智能监测传感系统。利用分析空间变换的概念对气体/气味进行准确分类。此外,通过比较处理和原始响应的量化器性能,说明了量化中数据预处理的缺点。此外,所提出的感官系统将分类准确率从96%提高到98.74%,量化准确率从17.65%提高到94%。
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