Quantitative Risk Assessment and Early Warning for pH Value of Disqualified Imported Textile

Abstract:

The assessment of potential risks posed by PH value in clothing to consumers is of increasing concern worldwide. If the PH value is too high, it is harmful to skin. Some papers focus on hazard assessment and exposure assessment, using quantitative and semi-quantitative method, rather than assessment for the factors related to the PH value. In order to perform early-warning research and risk management, the quantitative risk assessment is used in this paper to analyze the imported textile testing data and find the factors related to the PH value. The data mining technique and K-means algorithm is the core of the method. It can be concluded that the disqualified textiles have relations with main fiber components and fabric color. Then cluster the data by K-means algorithm for every factor, define the different class as related danger level, respectively severe, moderate, light.

• Periodical: Advanced Materials Research (Volume 936)
• Pages: 2358-2363
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.936.2358
• Online since: June 2014
• Authors: Meng Yuan Wei, Xiang Yuan Hu, Chun Jiang, Jia Xin Zang, Wen Liang Xue*
• Keywords: Disqualified Textiles, pH Value, Quantitative Risk Assessment

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