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Textile formaldehyde detection system

A technology for detection systems and textiles, applied in the field of detection systems, can solve problems affecting the accuracy of gaseous formaldehyde content, wrong detection results, etc., and achieve the effects of improving generalization performance, good selectivity, and improving detection sensitivity

Inactive Publication Date: 2018-02-02
程媛
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Problems solved by technology

Cross-interference affects the accuracy of the determination of gaseous formaldehyde content, and even leads to completely wrong detection results in severe cases

Method used

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  • Textile formaldehyde detection system
  • Textile formaldehyde detection system
  • Textile formaldehyde detection system

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Embodiment Construction

[0020] The gaseous sample of volatile formaldehyde from textiles is too sparse to fit the response characteristics of the detector. It is necessary to appropriately increase the modeling samples of the system response through the data interpolation algorithm, especially for intervals with low measurement values ​​and large measurement errors to interpolate enough sample values ​​to establish an accurate system response model. Under the assumption that the actual concentration value of the measured gaseous formaldehyde is linearly related to the predicted concentration value, the system uses the autoregressive AR model to interpolate the unmeasured data. That is, AR modeling is first performed on the measurement data given by the detector, and the problem of solving the AR model is transformed into the problem of solving the coefficients of the linear combination of measurement data. Then apply the detected data to determine the estimated value of the autocovariance function of...

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Abstract

A textile formaldehyde detection system. In order to improve the generalization performance under low concentration and small sample conditions, the autoregressive AR prediction model was used to interpolate the response data in the low concentration range of gaseous formaldehyde. In order to suppress the cross-interference of electrochemical reactions, empirical mode decomposition was applied to realize the separation of gaseous formaldehyde response data and high-frequency interference. On this basis, the actual gaseous formaldehyde response is approximated by interval regression modeling, and the low-frequency interference added to the gaseous formaldehyde response data is further eliminated. Combined with the above algorithm, the invention was invented, which can effectively suppress the cross-interference of electrochemical reactions, reduce the lower limit of detection, and improve the detection sensitivity.

Description

Technical field [0001] The invention relates to a detection system, in particular to a textile formaldehyde detection system. Background technique [0002] Formaldehyde content is an extremely important safety and health index of textiles, and the impact of volatile formaldehyde in textiles on human health has increasingly attracted people's attention. Oeko-TexStandard 100, an international standard for eco-textile research and testing, imposes strict limits on formaldehyde content in textiles. The formaldehyde content of four major textile products: baby products, direct skin contact, non-direct skin contact and decoration should not exceed 20mg / kg, 75mg / kg, 300mg / kg and 300mg / kg respectively. Therefore, real-time and accurate detection of trace formaldehyde in textiles is of great practical significance to ensure the safe application of textiles. [0003] Compared with the traditional analytical chemical method for detecting formaldehyde content in textiles, the electroc...

Claims

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Application Information

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IPC IPC(8): G01N27/416
CPCG01N27/416
Inventor 程媛
Owner 程媛
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