CN112580924B - Green degree model of infant paper diaper and construction method thereof - Google Patents
Green degree model of infant paper diaper and construction method thereof Download PDFInfo
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Abstract
The invention belongs to the technical field of paper diapers, and discloses a green degree model of an infant paper diaper and a construction method thereof. The green degree model is composed of the following indexes: constraint index: sanitary index, permeability, dimensional deviation, diaper residual acrylic acid, diaper VOC, etc.; the necessary indexes are as follows: heavy metals, acrylamides, phthalates, and the like; optional index: raw material residual acrylic acid, raw material VOC, raw material fluorescent whitening agent and the like; wherein, constraint indexes and necessary indexes are qualified; determining the green degree of the product according to the percentage X of the number of indexes meeting the green requirement of the paper diaper in the selectable indexes to the total selectable indexes; wherein X is more than or equal to 0 and less than or equal to 50, and is a copper plate; x is more than or equal to 50 and less than 75 percent, and is silver plate; x is 75% or less, and is gold medal. The green degree model is beneficial to guiding the health and orderly development of products and promoting the development of paper sanitary articles for infants to brand construction roads with qualified quality, environmental protection and consumer safety.
Description
Technical Field
The invention belongs to the technical field of paper diapers, and particularly relates to a green degree model of an infant paper diaper and a construction method thereof.
Background
The existing infant paper diaper safety evaluation has the main problems that firstly, the quality control project specified by the existing standard has part of not only no definite technical index but also no relevant test method, and the quality control and evaluation of the infant paper diaper are difficult to implement, so that a great number of quality problems, such as the symptoms of infant red buttocks and rotten buttocks, and potential safety hazards of diaper dermatitis, skin irritation and allergy, are caused; secondly, the safety and sanitation quality control and evaluation items are not comprehensive, the items related to the safety and sanitation quality specified in the existing standard are mainly microorganisms, and no attention is paid to degradability and recycling of the infant diaper.
The infant diaper is used as one of main consumer goods for close contact with consumers, and only conventional projects are used as indexes for evaluating the safety quality of the infant diaper, particularly, the product of the infant diaper, which is in long-term contact with human bodies, can directly influence the health of infants if the safety quality problem occurs, so that the green authentication implementation system of the product is established, the healthy orderly development of the product is guided, and the development of the infant paper sanitary product production enterprises towards brand construction roads with qualified quality, environment friendliness and consumer safety is promoted.
Disclosure of Invention
The invention aims to solve the problem of insufficient safety quality index of an infant diaper, and provides a green model of the infant diaper.
The invention further aims to provide a construction method of the green degree model of the infant diaper.
The invention is realized by the following technical scheme:
a green degree model of an infant diaper is composed of the following indexes:
constraint index: sanitary index, permeability, pH, moisture, dimensional deviation, diaper residual acrylic acid, diaper VOC, diaper fluorescent whitening agent and diaper formaldehyde;
the necessary indexes are as follows: heavy metals, acrylamides, phthalates, and decomposable carcinogenic aromatic amine dyes;
optional index: raw material residual acrylic acid, raw material VOC, raw material fluorescent whitening agent, raw material formaldehyde, resource consumption rate, air permeability, total energy consumption, single chip energy consumption and degradability;
wherein, constraint indexes and necessary indexes are qualified; determining the green degree of the product according to the percentage X of the number of indexes meeting the green requirement of the paper diaper in the selectable indexes to the total selectable indexes;
wherein X is more than or equal to 0 and less than or equal to 50 percent, and is a copper plate; x is more than or equal to 50% and less than 75%, and is silver plate; x is 75% or less, and is gold medal.
The construction method of the green degree model of the infant diaper comprises the following steps:
s1, establishing a green degree evaluation index system of the infant diaper by using an analytic hierarchy process AHP; scoring importance degrees of all indexes of the resource attribute, the energy attribute, the environment attribute and the consumption attribute by an expert, and constructing a plurality of pairs of comparison matrixes; calculating weight vectors of each pair of comparison matrixes and performing consistency check, if the weight vectors do not pass the consistency check, re-scoring all indexes, if the weight vectors pass the consistency check, calculating each combined weight vector;
s2, inputting all index values of a plurality of samples, and calculating an AHP value of the product according to the established AHP model;
s3, adding the obtained AHP value into the independent variable, constructing a matrix normalized with each index, calculating Pearson correlation coefficients of the independent variable and the dependent variable on the matrix, obtaining the correlation between each index and the green degree, determining the importance degree of the index according to the correlation, and removing the smaller correlation to obtain the optional index; the indexes belonging to the consumption attribute are customized as constraint indexes, and the indexes belonging to the regulation are customized as necessary indexes;
s4, calculating the green degree according to the index number grading method when a new sample is input; on the premise that the diaper meets constraint indexes of all consumption attributes and necessary indexes of regulations, the number of optional indexes meeting the green requirement of the diaper accounts for the percentage of the total number of optional indexes, and the green degree of the product is determined.
Preferably, the green degree evaluation index system of the infant diaper is 5 secondary indexes and 24 quaternary indexes;
wherein the second-level index is: resource attributes, energy attributes, environmental attributes, consumption attributes, regulations;
the four-level index of the resource attribute is: resource consumption rate, raw material residual acrylic acid, raw material VOC, raw material fluorescent whitening agent, raw material formaldehyde, comfort and air permeability;
the four-level indexes of the energy attribute are as follows: total energy consumption and single-chip energy consumption;
the four-level index of the environmental attribute is: solid waste discharge and treatment rate and degradability;
the four-level index of consumption attributes is: sanitary index, permeability, pH, moisture, dimensional deviation, diaper residual acrylic acid, diaper VOC, diaper fluorescent whitening agent and diaper formaldehyde;
the four-level index of the regulation is: heavy metals, acrylamides, phthalates, and decomposable carcinogenic aromatic amine dyes.
Preferably, pairs of comparison matrices are constructed:
after the analytic hierarchy process model is established, pairwise comparison can be performed in each layer of elements to construct a comparison judgment matrix; is provided with n factors (X 1 ,X 2 ,., xn) has an effect on the upper layer targets, two factors Xi at a time are compared with Xj, using a ij Representing the influence ratio of Xi and Xj on the upper layer target; using matrix a= (a) ij ) m×n The overall comparison result is shown, and a is referred to as a pair-wise comparison matrix.
Preferably, each combination weight vector is respectively:
the combination weight vector of the resource attribute four-level index layer to the green degree is as follows:
(0.014 0.092 0.135 0.135 0.135 0.041 0.041) T
the combination weight vector of the energy attribute four-level index layer to the green degree is as follows:
(0.049 0.049) T
the combination weight vector of the environment attribute four-level index layer to the green degree is as follows:
(0.065 0.033) T
the combination weight vector of the consumption attribute four-level index layer to the green degree is as follows:
(0.105 0.024 0.052 0.016 0.016 0.095 0.095 0.095) T 。
preferably, the constraint range of the consumption attribute is determined by the following method:
obtaining a preliminary constraint range of 4 indexes of paper diaper residual acrylic acid, paper diaper VOC, paper diaper fluorescent whitening agent and paper diaper formaldehyde in consumption attributes according to half lethal dose, and then adjusting the preliminary constraint range according to specific process and product requirements to obtain a final constraint range; and judging as a non-green product as long as a certain index of the diaper with respect to the consumption attribute is not in a constraint range.
Preferably, the values of comfort, air permeability, hygiene index, pH and dimensional deviation are adjusted, and the water is subjected to reciprocal treatment to obtain normalized data which is quantitative and consistent in direction.
Preferably, for the raw material indexes of the raw material residual acrylic acid, the raw material VOC, the raw material fluorescent whitening agent and the raw material formaldehyde in the resource attribute, according to the specific gravity w of each raw material in the paper diaper finished product, the index values of all the raw materials are summed to be used as the values of the raw material indexes in the resource attribute.
The invention takes infant paper diapers as LCA research units, and the boundary type of the system is 'from cradle to gate', which comprises basic raw materials, energy, production process and waste recycling.
Most of basic raw materials of the infant diaper are imported, manufacturers purchase raw materials for post-processing to manufacture the diaper, and the production stage of the raw materials is not involved. The raw material selection stage focuses on safety quality indexes of toxic and harmful substances formaldehyde, a movable fluorescent whitening agent, acrylic acid residual monomers and volatile organic compounds in raw materials such as plastic films, non-woven fabrics, hot melt adhesives, organic synthetic materials such as high-absorptivity resins, pulp paper products such as fluff pulp, dust-free paper, water-absorbing lining paper and the like, and inks, auxiliaries and the like; the production stage focuses on pollutant emission, solid waste treatment, hot melt adhesive and ink recovery, and the emission of volatile organic compounds VOCs cleans production process control indexes; the use stage pays attention to safety performance indexes of formaldehyde, a movable fluorescent brightening agent, an acrylic acid residual monomer and a volatile organic compound of the product; the discard stage focuses on the degradability of the product;
since the manufacturing enterprises only carry out post-processing, the problem of large energy (electricity and steam) consumption is not involved, and the energy consumption attribute of the finished product is expressed by adopting the core layer and the single-chip energy consumption of the finished product in the invention.
The safety performance indexes reflect the key green attribute of the infant diaper as a green product, are key to influence the quality of the infant diaper, and are basic basis for establishing an infant diaper green authentication implementation system.
Compared with the prior art, the invention has the following beneficial effects:
the green degree model of the infant diaper provided by the invention has the advantages of simplicity, convenience, science, quantification and the like, and fills the blank that the green degree evaluation of the infant diaper is not formed in China.
The green degree model is based on the life cycle of infant diaper products, namely, the production stage of raw materials is traced, and the green degree model is obtained from the beginning of resource exploitation to the leaving of the products. And constructing a characteristic comprehensive quantitative index optimization model of resources, energy sources, environmental protection, consumption and the like in the key stage of the life cycle of the infant diaper product.
24 representative indexes are provided, the coupling relation between the 24 indexes and green degree is considered through a hierarchical analysis method, the importance degree of the indexes is determined according to the correlation, and 2 indexes with smaller correlation are removed. On one hand, the difficulty in selecting a plurality of evaluation parameter indexes in paper diaper finished products, raw materials and processes is overcome aiming at the requirement of multi-index quantitative analysis model establishment. On the other hand, the related indexes show the key green attribute of the infant diaper as a green product, are key for influencing the quality of the infant diaper product, and are basic basis for establishing an infant diaper green authentication implementation system.
The method for constructing the green model of the infant diaper enables the judgment result to be better combined with the actual situation through consistency judgment, and enables an evaluation system to be more scientific.
Drawings
FIG. 1 is a green product evaluation model architecture;
FIG. 2 is a hierarchical structure diagram;
FIG. 3 is a green product evaluation model design route;
fig. 4 is a green degree model.
Detailed Description
In order to make the objects and advantages of the present invention more apparent, the present invention will be described in more detail with reference to the following examples. It should be understood that the embodiments described herein are for the purpose of illustrating the invention only and are not to be construed as limiting the invention.
The raw materials, samples, etc. used in examples and comparative examples were all commercially available.
The evaluation method is utilized to quantitatively evaluate the representative infant diaper products, and the invention takes the related standard regulations as the reference while forming an effective evaluation basis.
According to the existing product standard GB/T28004-2011 paper diaper (sheet, pad), the product quality is judged to be qualified; judging the formaldehyde and the movable fluorescent whitening agent by referring to taiwan standard 12639-093 (2004) baby diaper; the EU 2014/763 directive is referred to specify that the acrylic acid monomer content in the super absorbent resin should be less than or equal to 1000mg/kg. According to the related detection project of the related standard measurement at home and abroad, for the technical indexes without the related standard regulation as reference basis, such as Volatile Organic Compounds (VOC), the safety of the indexes is comprehensively evaluated by combining the characteristics of the products on the basis of quantitative evaluation. And constructing a characteristic comprehensive quantitative index optimization model of resources, energy sources, environmental protection, consumption and the like in the key stage of the life cycle of the infant diaper product.
Model construction route scheme
Fig. 1 illustrates the complex relationship of the green degree four-level evaluation system. Therefore, the multi-index quantitative analysis model is realized by adopting statistical professional commercial software Matlab and a modern machine learning algorithm, and all data analysis and processing are completed through the Matlab. Therefore, the machine learning algorithm is applied to detection and analysis of infant diaper safety technical indexes and the like, and the characteristics of the machine learning algorithm such as processing complex data and establishing correlation are utilized, so that the method has important significance in researching infant diaper authentication key technologies.
Analytic hierarchy process
The analytic hierarchy process (Analytic Hierarchy Process, abbreviated AHP) is a systematic and hierarchical analysis method combining qualitative and quantitative analysis. The method is an effective method for converting semi-qualitative and semi-quantitative problems into quantitative problems, and the thinking process of people is layered. The quantitative basis is provided for the development of analysis, decision making, prediction or control matters by comparing various associated factors layer by layer, and the quantitative analysis method is particularly suitable for complex problems which are difficult to analyze completely and quantitatively, and provides a simple and practical method for solving the problems. Therefore, the method has wide application in the fields of calculation, planning, resource allocation, sequencing, policy analysis, decision prediction and the like.
The step of analytic hierarchy process:
(1) Establishing a hierarchical model
On the basis of in-depth analysis of actual problems, all relevant factors are decomposed into a plurality of layers from top to bottom according to different attributes. Factors of the same layer depend on or have an influence on factors of an upper layer, while factors of a lower layer depend on or have an influence on factors of a lower layer. The uppermost layer is the target layer, usually with only one factor, the lowermost layer is usually the solution or object layer, and there may be one or several layers in between, usually the criteria layer or index layer. Sub-criterion layers should be further resolved when there are too many criteria (e.g., more than 9). The hierarchical structure is shown in FIG. 2 below.
(2) Is constructed into a pair comparison matrix
After the analytic hierarchy process model is established, the elements in each layer can be compared in pairs to construct a comparison judgment matrix. Is provided with n factors (X 1 ,X 2 ,., xn) have an influence on the targets of the previous layer, it is not easy to determine directly the extent (proportion) of their influence on the targets, so two factors Xi are taken each time and compared with Xj, a is used ij The ratio of the effects of Xi and Xj on the upper layer targets is shown. Using matrix a= (a) ij ) m×n The overall comparison result is shown, and a is referred to as a pair-wise comparison matrix. a, a ij The characteristics should be: a, a ij ＞0，Easily known a ii =1. We turn the n-th order matrix with the above characteristics into a positive reciprocal matrix.
According to the T.L.Saath method, a pair comparison matrix a is constructed ij Reference numerals 1,2, 9 and their reciprocalScale removed, they represent the meanings given in table 1 below:
table 1 scale method
(3) Computing weight vectors and consistency checks
For matrix a= (a ij ) m×n Consistency test is carried out, and if the test is qualified, the maximum eigenvalue lambda of the matrix A max The corresponding feature vector W may be expressed as a weight of the lower level index to the upper level index.
The steps of calculating the eigenvalues and eigenvectors are as follows:
1) Calculating the product Mi of each row of the judgment matrix
2) Calculating the nth root of Mi
3) VectorNormalized to w= [ W 1 W 2 ...W n ] T
Then w= [ W ] 1 W 2 ...W n ] T Namely the feature vector is obtained;
4) Calculating maximum characteristic root lambda max
Wherein (AW) i Representing the ith element of vector AW.
The consistency test steps are as follows:
1) According to the maximum characteristic root lambda max The calculated consistency index CI can be expressed as:
2) The consistency ratio is calculated from the random consistency index RI and the consistency index CI introduced by saath. The values of the random uniformity index RI are shown in table 2 below:
TABLE 2 values of random uniformity index RI
| N | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| RI | 0 | 0 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 | 1.52 |
The calculated consistency ratio CR can be expressed as:
if CR <0.1 indicates that the consistency check is passed, then the eigenvector W of matrix A may be the weight of the lower level indicator to the upper level indicator.
(4) Calculating a combined weight vector
Calculating combined weight vectors, i.e. hierarchical total ordering, toAnd determining the importance degree of each element at the bottommost layer in the structure diagram in the overall target. This process is performed layer by layer from the uppermost layer to the lowermost layer. The combined weight vector of the n+1 layer is equal to the weight vector of the present layer multiplied by the weight vector of the upper layer directly related to the present layer, and the calculation is performed from top to bottom. For example: the first layer is w=1, and the second layer weight vector w1= [ 0.4.0.6] T The third layer weight vector is w11= [ 0.3.0.7] T ,W12＝[0.6 0.4] T The third layer has a combined weight vector of W' = [0.3*0.4 0.7*0.4 0.6*0.6 0.4*0.6 ] for the first layer] T I.e. W' = [0.12 0.28 0.36 0.24] T 。
Example 1 modeling embodiment
And (3) constructing a multi-index quantitative analysis model based on the obtained database through constraint index and common index detection of different grades and different batches of products. The design route of the green product evaluation model of the diaper is shown in figure 3.
Firstly, scoring importance degrees of all indexes of 4 attributes by an expert, and constructing a plurality of pairs of comparison matrixes; calculating weight vectors of each pair of comparison matrixes and performing consistency check, if the weight vectors do not pass the consistency check, re-scoring all indexes, if the weight vectors pass the consistency check, calculating the combined weight vectors, namely, the weight of each attribute to each index;
inputting all index values of a plurality of samples, and calculating the AHP value of the product according to the established AHP model.
And then adding the obtained AHP value into the independent variable, constructing a matrix normalized with each index, calculating the Pearson correlation coefficient of the independent variable and the dependent variable on the matrix, and obtaining the correlation between each index and the green degree, determining the importance degree of the index according to the correlation, removing the smaller correlation, customizing the index belonging to the consumption attribute as a constraint index, and customizing the index belonging to the regulation as a necessary index.
When a new sample is input, the green degree is calculated according to the index quantity grading method.
After comprehensive scoring by five experts, the results were as follows:
table 3 AHP scoring table
(1)
(2)
(3)
(4)
(5)
And constructing an AHP model by the above scoring tables to obtain weight vectors of all layers and combined weight vectors, and finally obtaining weight vectors of all layers by calculating the weight vectors of all scoring tables and passing consistency test, as shown in table 4.
TABLE 4 weight vector
It is thus possible to calculate the value of,
the combined weight vector of the resource attribute four-level index layer to the green degree is
(0.014 0.092 0.135 0.135 0.135 0.041 0.041) T
The combined weight vector of the energy attribute four-level index layer to the green degree is
(0.049 0.049) T
The combined weight vector of the environment attribute four-level index layer to the green degree is
(0.065 0.033) T
The combination weight vector of the consumption attribute four-level index layer to the green degree is
(0.105 0.024 0.052 0.016 0.016 0.095 0.095 0.095 0.095) T
Constraint index
The consumption attribute contains 5 quality indexes, namely a sanitary index, a permeability, a pH value, moisture, a size deviation and 4 safety indexes, namely a paper diaper residual acrylic acid, a paper diaper VOC, a paper diaper fluorescent whitening agent and paper diaper formaldehyde.
Because of the magnitude difference between the raw material indexes, there may be a possibility that a certain index value has been a threat to human health, but because the rest index values are too low, the model is misjudged as a green product, and besides the related regulations according to industry standards, we introduce the toxicological concept of 'half-lethal dose'.
The half-lethal dose generally refers to the dose of chemical agent (Median Lethal Dosage), abbreviated LD50, required to half-kill a test animal in an acute toxicity test of the animal. In toxicology, the median lethal dose is a common indicator describing the toxicity of a toxic substance or radiation. LD50 refers to "the dose of harmful substances, toxic substances or free radiation that kills half of the population tested" as defined by the medical thesaurus (MeSH). Smaller LD50 values indicate more toxic exogenous chemicals; conversely, the greater the LD50 value, the lower the toxicity.
Table 5 shows the median lethal dose of the relevant toxicity index obtained by looking up the relevant literature.
TABLE 5 half lethal dose of toxicity index
| Compounds of formula (I) | Acute toxic LD 50 (oral rat), mg/kg |
| Acrylic acid | 2520 |
| VOC | 5800 ＊ |
| Formaldehyde | 800 |
| Fluorescent whitening agent | 5580 |
Temporarily based on acetone
Obtaining a preliminary constraint range of four indexes of consumption attributes from half lethal dose, and then adjusting the preliminary constraint range according to specific process and product requirements to obtain a final constraint range.
And judging as a non-green product as long as a certain index of the diaper with respect to the consumption attribute is not in a constraint range.
Necessary index and optional index
And screening indexes according to the coupling relation.
And calculating the AHP value of the product according to the established AHP model by inputting all index values of the plurality of samples.
And then adding the obtained AHP value into a variable, constructing a new matrix, carrying out Pearson correlation analysis processing on the new matrix, obtaining the coupling relation between each index and the green degree, determining the importance degree of the index according to the correlation, and removing the smaller correlation to obtain the selectable index.
For each raw material index value in the resource attribute "safe", the index values of all raw materials are summed as the index value of the raw material in the resource attribute, considering that different products or different parts in the products may be composed of different kinds and different amounts of raw materials.
The specific summation mode is as follows:
the weight of the product is formed by selecting one or more typical paper diapers, carrying out component analysis on the paper diapers, and solving the specific gravity w (shown in table 6) of each raw material in the finished paper diaper product.
TABLE 6 raw material proportion composition of the product
According to the following steps:
acrylic acid: x is X 1 ＝w 1 x 11 +w 2 x 12 +…+w 9 x 19 +b 1
VOC：X 2 ＝w 1 x 21 +w 2 x 22 +…+w 9 x 29 +b 2
Formaldehyde: x is X 3 ＝w 1 x 31 +w 2 x 32 +…+w 9 x 39 +b 3
Fluorescent whitening agent: x is X 4 ＝w 1 x 41 +w 2 x 42 +…+w 9 x 49 +b 4
Matrix form:
simplified form: x is X T ＝w T x T (1)
And obtaining an index value of the paper diaper finished product to be tested. Wherein X represents index values of all raw materials constituting the finished product; w represents the specific gravity of various raw materials in the finished product; x represents index values of various raw materials; b is a constant term (typically 0).
Index quantity grading calculation green degree
The index quantity grading calculation of greenness means: on the premise that the diaper meets constraint indexes of all consumption attributes and necessary indexes of regulations, the selectable indexes meet the percentage of the number of the green requirements of the diaper to the total selectable indexes, and the green degree of the product is determined.
Model construction
As shown in table 7, the raw data of the diaper multi-index quantitative analysis model includes 8 different brands of diapers and 4 different attribute indexes, and the 4 attribute indexes include 20 lower-level indexes in total.
The quantitative values or evaluation indexes of different indexes have significant differences according to different standards or evaluation systems. Since all data need to be quantified and the directions need to be consistent, values of comfort, air permeability, sanitation indexes, pH, dimensional deviations are manually adjusted, water is inverted, and certain qualitative indexes are quantized, etc.
Table 7 modeling data
And multiplying the matrix normalized by the original data by a combined weight vector matrix obtained by AHP to obtain a table 8.
Table 8 AHP values
| Paper diaper | AHP calculation |
| Little sun | 7.11 |
| Public welt | 6.81 |
| Andi ai Mi | 6.74 |
| Teddy bear | 8.80 |
| softcare | 5.96 |
| Enshi (Enshi) | 7.42 |
| Shu's baby | 7.86 |
| Ji' s | 6.31 |
The Pearson correlation coefficient (as shown in table 9) of the new variable of the AHP value and each index normalized is calculated, and the correlation of the consumption attribute and the AHP value is not required to be calculated because the consumption attribute is a constraint index.
Table 9Pearson correlation coefficients of each index and "AHP value
/>
As can be seen from the above table, the "comfort", "solid waste discharge and treatment rate" have low correlation, which means that the "comfort", "solid waste discharge and treatment rate" have small contribution to the AHP value, and should not be used as an optional index.
In summary, from the AHP weight vector and the Pearson correlation coefficient of table 9, taking "raw material residual acrylic acid", "raw material VOC", "raw material fluorescent whitening agent", "raw material formaldehyde", "resource consumption rate", "air permeability", "total energy consumption", "monolithic energy consumption", "degradability" as optional indexes, after the determination by an expert, the green degree model is defined as (as shown in fig. 4):
the green degree model of the infant diaper is composed of the following indexes:
constraint index: sanitary index, permeability, pH, moisture, dimensional deviation, diaper residual acrylic acid, diaper VOC, diaper fluorescent whitening agent and diaper formaldehyde;
the necessary indexes are as follows: heavy metals, acrylamides, phthalates, and decomposable carcinogenic aromatic amine dyes;
optional index: raw material residual acrylic acid, raw material VOC, raw material fluorescent whitening agent, raw material formaldehyde, resource consumption rate, air permeability, total energy consumption, single chip energy consumption and degradability;
wherein, constraint indexes and necessary indexes are qualified; determining the green degree of the product according to the percentage X of the number of indexes meeting the green requirement of the paper diaper in the selectable indexes to the total selectable indexes;
wherein X is more than or equal to 0 and less than or equal to 50 percent, and is a copper plate; x is more than or equal to 50% and less than 75%, and is silver plate; x is 75% or less, and is gold medal.
Claims (7)
1. The construction method of the green degree model of the infant diaper is characterized by comprising the following steps of:
s1, establishing a green degree evaluation index system of the infant diaper by using an analytic hierarchy process AHP; scoring importance degrees of all indexes of the resource attribute, the energy attribute, the environment attribute and the consumption attribute by an expert, and constructing a plurality of pairs of comparison matrixes; calculating weight vectors of each pair of comparison matrixes and performing consistency check, if the weight vectors do not pass the consistency check, re-scoring all indexes, if the weight vectors pass the consistency check, calculating each combined weight vector;
s2, inputting all index values of a plurality of samples, and calculating an AHP value of the product according to the established AHP model;
s3, adding the obtained AHP value into the independent variable, constructing a matrix normalized with each index, calculating Pearson correlation coefficients of the independent variable and the dependent variable on the matrix, obtaining the correlation between each index and the green degree, determining the importance degree of the index according to the correlation, and removing the smaller correlation to obtain the optional index; the indexes belonging to the consumption attribute are customized as constraint indexes, and the indexes belonging to the regulation are customized as necessary indexes;
s4, calculating the green degree according to the index number grading method when a new sample is input; on the premise that the diaper meets constraint indexes of all consumption attributes and necessary indexes of regulations, the selectable indexes meet the percentage of the total selectable indexes, which are occupied by the number of green requirements of the diaper, to determine the green degree of the product;
the green degree evaluation index system of the infant diaper is 5 secondary indexes and 24 quaternary indexes;
wherein the second-level index is: resource attributes, energy attributes, environmental attributes, consumption attributes, regulations;
the four-level index of the resource attribute is: resource consumption rate, raw material residual acrylic acid, raw material VOC, raw material fluorescent whitening agent, raw material formaldehyde, comfort and air permeability;
the four-level indexes of the energy attribute are as follows: total energy consumption and single-chip energy consumption;
the four-level index of the environmental attribute is: solid waste discharge and treatment rate and degradability;
the four-level index of consumption attributes is: sanitary index, permeability, pH, moisture, dimensional deviation, diaper residual acrylic acid, diaper VOC, diaper fluorescent whitening agent and diaper formaldehyde;
the four-level index of the regulation is: heavy metals, acrylamides, phthalates, and decomposable carcinogenic aromatic amine dyes.
2. The method for constructing a green degree model of an infant diaper according to claim 1, wherein a plurality of pairs of comparison matrices are constructed:
after the analytic hierarchy process model is established, pairwise comparison can be performed in each layer of elements to construct a comparison judgment matrix; is provided with n factors (X 1 ,X 2 ,., xn) has a target on the upper layerThe influence is obtained by comparing two factors Xi with Xj each time, using a ij Representing the influence ratio of Xi and Xj on the upper layer target; using matrix a= (a) ij ) m×n The overall comparison result is shown, and a is referred to as a pair-wise comparison matrix.
3. The method for constructing a green degree model of an infant diaper according to claim 1, wherein each combination weight vector is respectively:
the combination weight vector of the resource attribute four-level index layer to the green degree is as follows:
(0.014 0.092 0.135 0.135 0.135 0.041 0.041) T
the combination weight vector of the energy attribute four-level index layer to the green degree is as follows:
(0.049 0.049) T
the combination weight vector of the environment attribute four-level index layer to the green degree is as follows:
(0.0650.033) T
the combination weight vector of the consumption attribute four-level index layer to the green degree is as follows:
(0.105 0.024 0.052 0.016 0.016 0.095 0.095 0.095 0.095) T 。
4. the method for constructing a green degree model of an infant diaper according to claim 1, wherein the constraint range of the consumption attribute is determined by the following method:
obtaining a preliminary constraint range of 4 indexes of paper diaper residual acrylic acid, paper diaper VOC, paper diaper fluorescent whitening agent and paper diaper formaldehyde in consumption attributes according to half lethal dose, and then adjusting the preliminary constraint range according to specific process and product requirements to obtain a final constraint range; and judging as a non-green product as long as a certain index of the diaper with respect to the consumption attribute is not in a constraint range.
5. The method for constructing a green degree model of an infant diaper according to claim 1, wherein values of comfort, air permeability, sanitation index, pH and dimensional deviation are adjusted, and water is subjected to reciprocal treatment to obtain normalized data which is quantitative and requires consistent directions.
6. The method for constructing a green degree model of a baby diaper according to claim 1, wherein, for the raw material indexes of raw material residual acrylic acid, raw material VOC, raw material fluorescent whitening agent, raw material formaldehyde in the resource attribute, the index values of all the raw materials are summed up as the value of the raw material index in the resource attribute according to the specific gravity w occupied by each raw material in the finished diaper product.
7. The method for constructing a green degree model of an infant diaper according to claim 1, wherein the green degree model is composed of the following indexes:
constraint index: sanitary index, permeability, pH, moisture, dimensional deviation, diaper residual acrylic acid, diaper VOC, diaper fluorescent whitening agent and diaper formaldehyde;
the necessary indexes are as follows: heavy metals, acrylamides, phthalates, and decomposable carcinogenic aromatic amine dyes;
optional index: raw material residual acrylic acid, raw material VOC, raw material fluorescent whitening agent, raw material formaldehyde, resource consumption rate, air permeability, total energy consumption, single chip energy consumption and degradability;
wherein, constraint indexes and necessary indexes are qualified; determining the green degree of the product according to the percentage X of the number of indexes meeting the green requirement of the paper diaper in the selectable indexes to the total selectable indexes;
wherein X is more than or equal to 0 and less than or equal to 50 percent, and is a copper plate; x is more than or equal to 50% and less than 75%, and is silver plate; x is 75% or less, and is gold medal.
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