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The Study of Raw Water Based on Quality Parameter Using Smell-Print Sensing Device

机译:基于质量参数的气味打印传感装置对原水的研究

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Water is a renewable natural resource and comprises about 70% of earth whilst the balance is land. Cleanliness and purity of drinking water is important for human health worldwide, thus it is important to know the water body source content so that consumption of it does not give any risk to human body's health. This study focuses on establishing a case library profile and classification of water based on recommended by Ministry of Health (MOH). This study water quality parameters such as iron (Fe) and pH is obtained using Electronic nose (E-nose). E-nose is an instrument that mimics human nose that has the ability to sniff in advance for volatile odor. However, colourless and odourless chemical usually undetectable by normal eyes or noses. Case Based Reasoning (CBR) is used in performing the intelligent classification that involved CBR computation, voting and performance measure. The similarity result shows that the technique accomplished to classify with 97.5% accuracy, 88.0% specificity and 92.2% accuracy.
机译:水是一种可再生的自然资源,约占地球的70%,其余部分为土地。饮用水的清洁度和纯度对全世界的人类健康都很重要,因此了解水体的来源含量很重要,这样饮用水的摄入不会对人体健康造成任何风险。这项研究的重点是根据卫生部(MOH)的建议建立案例库档案和水的分类。这项研究的水质参数,例如铁(Fe)和pH是使用电子鼻(E-nose)获得的。电子鼻是一种模仿人类鼻子的仪器,它能够预先嗅出挥发性气味。但是,通常的眼睛或鼻子通常无法检测到无色无味的化学物质。基于案例的推理(CBR)用于执行涉及CBR计算,投票和绩效评估的智能分类。相似性结果表明,该技术以97.5%的准确度,88.0%的特异性和92.2%的准确度完成了分类。

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