CN109616214B - Paper diaper suit combination method and system suitable for body development of infants - Google Patents
Paper diaper suit combination method and system suitable for body development of infants Download PDFInfo
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- A61F13/00—Bandages or dressings; Absorbent pads
- A61F13/15—Absorbent pads, e.g. sanitary towels, swabs or tampons for external or internal application to the body; Supporting or fastening means therefor; Tampon applicators
- A61F13/45—Absorbent pads, e.g. sanitary towels, swabs or tampons for external or internal application to the body; Supporting or fastening means therefor; Tampon applicators characterised by the shape
- A61F13/49—Absorbent articles specially adapted to be worn around the waist, e.g. diapers
- A61F13/496—Absorbent articles specially adapted to be worn around the waist, e.g. diapers in the form of pants or briefs
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Abstract
According to the diaper suit combination method and system suitable for the body development of the baby, provided by the embodiment of the application, physiological data of the body development of the baby with a preset numerical value are obtained based on a big data technology; analyzing and processing the physiological data to determine the body size of the infant in each growth stage; combining the produced paper diaper types into each paper diaper set. The invention forms the sizes of a plurality of sub-types of paper diapers in each set to be smoothly and gradually changed, improves the comfort of the baby, and simultaneously avoids the problems of liquid leakage and strangulation, thereby facilitating the purchasing of consumers through the scientific combination of the sets and simultaneously avoiding the waste of the paper diapers.
Description
Technical Field
The application relates to the technical field of intelligent production of diaper products, in particular to a diaper suit combination method and system suitable for body development of infants.
Background
Diapers are disposable products. Is made of materials such as non-woven fabrics, toilet paper, fluff pulp, high polymer water-absorbing resin, PE films, rubber bands and the like. At present, the common diaper in the market is mainly a paper diaper special for infants.
In the prior art, the sizes of the baby diapers are only five types of NB/S/M/L/XL from small to large, wherein the diapers with the size of NB are suitable for newborn babies with the weight of 0-3 kg, and the diapers with the size of S are suitable for babies with the weight of 4-6 kg; the paper diaper with the size of M is suitable for the infants with the weight of 7-10 kilograms, the paper diaper with the size of L is suitable for the infants with the weight of 11-14 kilograms, and the paper diaper with the size of XL increased is suitable for the infants with the weight of more than 14 kilograms and up to 18 kilograms. Parents are also generally used to select diapers of corresponding sizes according to the weight of the infant.
The body growth of the baby is rapid and continuous, so that the situation that the fit diaper cannot be obtained frequently occurs, for example, the baby wears a small S number and a large M number. The comfort of the baby can be reduced when the baby diaper is not fit for wearing, for example, tightening of the diaper can cause tightening marks on the thigh and the stomach of the baby, and the loose diaper is easy to droop and deform to influence the movement of the baby, and meanwhile, the problem of liquid leakage is easy to occur.
In the context of smart manufacturing, the industry is transitioning from traditional high volume, single type commodity production to low volume, multiple type commodity production. In the face of the condition of less size classification of the diapers, some manufacturers try to further refine the size, for example, each of the five NB/S/M/L/XL sizes is further subdivided into 5 seed sizes, and the total size is 25 sizes, so that the size of the diapers is changed into smoother transition changes and is more consistent with the body changes of infants.
However, this also brings obvious disadvantages, firstly, it is very difficult for parents of up to 25 sizes to choose, and unless buying and trying on, it cannot be accurately judged which size of diaper is the most fit for their children according to the month or the weight; moreover, after the size is further subdivided, the applicable time of the paper diaper with each size is obviously shortened, but generally dozens of paper diapers with the same type are packaged into one commodity for sale, and if one pack of paper diapers is not used up, the size is not enough to be changed for fitting, so that unnecessary waste is easily caused; of course, the excessive waste can be solved by reducing the number of diapers contained in each product, for example, each product contains only 10 diapers or even less diapers, so that even if the number of wasted diapers is not too large, the number of purchases is increased, the parents feel troublesome and time-consuming, and the cost in terms of packaging, logistics and the like is also increased. Therefore, if the size of the paper diaper is simply thinned, a plurality of new problems need to be solved.
Disclosure of Invention
In view of the above, the present application aims to provide a method and a system for combining a diaper suit suitable for the development of a baby, so as to solve the technical problems of reduced baby comfort, easy occurrence of leakage and easy waste caused by the fact that the size of the diaper and the baby body cannot be well matched in the prior art.
In accordance with the above objects, in one aspect of the present application, there is provided a method for assembling a diaper set adapted to the body development of an infant, comprising:
acquiring physiological data of the body development of an infant with a preset numerical quantity based on a big data technology;
analyzing and processing the physiological data to determine the body size of the infant in each growth stage; and aggregating all the growth stages into growth clusters equal to the number of the sizes and sub-models of the diapers to be produced;
determining the size of the diaper type number corresponding to each growth cluster according to the average value of the physiological data of each growth cluster and the growth rate of the adjacent growth clusters, and dividing the diaper type number contained in each set of type and/or the number of pieces of each sub-type;
producing the paper diapers of different sub models according to the determined sizes; and combining the produced diaper types into various diaper sets according to the division of each set type.
In some embodiments, the physiological data includes the infant's weight, waist circumference, hip circumference, leg circumference, and leg length at each growth stage.
In some embodiments, aggregating all of said growth stages into a growth cluster equal to the number of pant diaper size sub-models to be produced comprises: and aggregating the physiological data acquired in each growth stage according to the difference degree between the physiological data and the adjacent growth stages, and aggregating all the growth stages into growth clusters with the number equal to the number of the sizes and the sub-models of the diapers to be produced.
More specifically, for each sample of physiological data of each infant at each growth stage, expressed as a feature vector; calculating the average characteristic vector of all physiological data samples in each growth stage; calculating the adjacent vector distance between the average characteristic vector of each growth stage and the adjacent average characteristic vector; and merging the two growth stages with the minimum adjacent vector distance value into the same growth cluster, merging the two growth stages with the penultimate adjacent vector distance value into the same growth cluster, and repeating the steps until the number of the finally obtained growth clusters is equal to that of the sizes and the models of the diapers to be produced.
In some embodiments, the weight distribution range of the infant is divided into equal weight intervals, each weight interval being one of said growth phases.
In some embodiments, for each growth cluster, calculating an average of the physiological data for the body size of the infant within each growth cluster; and calculating the growth rates of different types of physiological data in two adjacent growth clusters, multiplying the growth rates of the different types of physiological data by respective corresponding standard conversion coefficients to obtain standard growth rate values, and calculating the average of the standard growth rate values to serve as the growth rates of the two adjacent growth clusters.
In some embodiments, dividing the number of paper diaper pants model and/or each sub-model included in each suit model specifically includes: and presetting that each set of diaper model comprises five sub-models, wherein the higher the growth rate of each growth cluster relative to the growth rate of the adjacent growth cluster, the fewer the number of the diaper models corresponding to the growth cluster.
In some embodiments, dividing the number of paper diaper pants model and/or each sub-model included in each suit model specifically includes: according to the growth rate of each growth cluster relative to the growth clusters adjacent to the growth cluster, the higher the growth rate is, the fewer the number of the diaper type numbers corresponding to the growth cluster is; then, a plurality of paper diaper types with continuous sizes are selected and sequentially combined into all the suit models, so that the number of the paper diapers contained in each suit model tends to be the same after combination.
In some embodiments, before the analyzing the physiological data, the method further comprises:
classifying the physiological data, and dividing the physiological data into female infant physiological data and male infant physiological data. More specifically, according to the division of each suit model, the corresponding baby girl diaper suit and the baby boy diaper suit are combined.
In another aspect of the present application, there is provided a diaper kit system adapted for the development of an infant's body, comprising:
the physiological data acquisition module is used for acquiring physiological data of the body development of the infant with a preset numerical value based on a big data technology;
the physiological data analysis module is used for analyzing and processing the physiological data and determining the body size of the infant in each growth stage; and aggregating all the growth stages into growth clusters equal to the number of the sizes and sub-models of the diapers to be produced;
the size number determining module is used for determining the size of the diaper type number corresponding to each growth cluster according to the average value of the physiological data of each growth cluster and the growth rate of the adjacent growth clusters, and dividing the diaper type number contained in each set of type and/or the number of pieces of each sub-type;
and the sleeving combination module is used for producing the paper diapers of all sub models according to the determined sizes, and combining the produced paper diapers of the sub models into a paper diaper suit according to the division of the paper diaper suit models.
In some embodiments, the physiological data analysis module comprises a classification unit for classifying physiological data of a boy infant and physiological data of a girl infant.
The paper diaper suit combination method and the paper diaper suit combination system suitable for baby body development provided by the embodiment of the application have the advantages that the sizes of a plurality of sub-models in each suit form smooth gradual change, the sizes of the paper diapers and the development and growth of the baby body in one stage can be well matched, the comfort of a baby is improved, the problems of liquid leakage and strangulation are avoided, the scientific combination through the suit facilitates the purchasing of consumers, and the waste of the paper diapers is avoided.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a flowchart of a method for assembling a diaper set adapted to the development of an infant according to a first embodiment of the present application;
FIG. 2 is a flow chart of a method for assembling a diaper set adapted to the development of an infant according to the second embodiment of the present application;
fig. 3 is a schematic structural diagram of a diaper kit system adapted to the development of an infant in accordance with the third embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 is a flowchart of a method for assembling a diaper set adapted to the development of an infant according to a first embodiment of the present application.
The invention divides the paper diaper for the infant into 25 or more sub-models (hereinafter, 25 sub-models are taken as an example, and the size is called as sub-model 1-sub-model 25 from small to large), and the size of the paper diaper is gradually enlarged from the sub-model with the minimum size to the sub-model with the maximum size, so that compared with the situation that the existing paper diaper only has five sub-models, more diversified and smooth size transition is provided, the paper diaper is more fit with the body development of the infant in the whole growth process from newborn to basic separation from the paper diaper, the wearing comfort can be effectively improved, and the problems of leakage, strangulation and the like are avoided. Meanwhile, in order to solve the problems that the customer is confused when the sub-type numbers are increased and waste is easily caused after the applicable time of each sub-type number is shortened, 25 or more sub-type numbers are combined into a plurality of diaper sets, for example, five diaper sets, and the types of the diaper sets are respectively marked as NB type, S type, M type, L type and XL type. Each type of suit comprises a plurality of sub-types of diapers, and each sub-type of diaper has a reasonably set number, for example, NB type suits 5 sub-type 1 diapers, 4 sub-type 2 diapers, 10 sub-type 3 diapers, 6 sub-type 4 diapers, and 15 sub-type 5 diapers (the above figures are only illustrative examples). The sub-type numbers contained in each suit and the number of pieces of each sub-type number are scientifically and objectively set based on big data analysis of the natural law of the body development change of the baby. Therefore, consumers only need to select a suit with a proper model from five suits according to the reference factors such as the weight of the baby, the shopping process is facilitated, and the situation that most of diapers in the suit are wasted due to the fact that the diapers become out of shape when the diapers are attached to the body development process of the baby due to the fact that the sizes of the diapers with the sub-types in each suit form smooth gradual changes is avoided.
As can be seen from fig. 1, the method for combining a diaper set adapted to the body development of an infant according to the present embodiment may include the following steps:
s101: physiological data of the physical development of the infant in a preset numerical quantity is acquired based on a big data technology.
In this embodiment, in order to determine a fitted diaper set according to the growth and development rules of infants, objective data of the growth and development rules of infants needs to be acquired first, and therefore, physiological data of the body development of infants with a preset numerical value can be acquired based on a big data technology and used as a sample object for big data analysis, and the specific value of the preset numerical value can be determined based on statistical experience rules, or can be set manually according to actual needs and acquisition conditions, and a predetermined number of infants are selected within each weight interval. For example, 1000 infants are selected in the range of 0.25KG body weight, namely 1000 infants with the body weight of 2.5-2.75KG, 1000 infants with the body weight of 2.75-3KG, 1000 infants with the body weight of 3-3.25KG, and the like, until 1000 infants are selected in the range of 17.75-18KG, and physiological data of the infants are collected as samples. The above-mentioned weight interval range is used as a representation of the growth stage of the infant. The physiological data referred to in this and subsequent embodiments mainly refer to the weight, waist circumference, hip circumference, leg circumference and leg length of the infant in this growth stage, and may further include other data, such as height, month and other auxiliary physiological parameters, which are not listed here.
S102: analyzing and processing the physiological data to determine the body size of the infant in each growth stage; and aggregating all the growth stages into growth clusters equal in number to the pant diaper size sub-models to be produced.
After the physiological data of the body development of the infant is acquired, the acquired physiological data can be analyzed and processed, and then the body size of the infant in each growth stage is determined.
Specifically, firstly, the physiological data acquired for each growth stage can be aggregated according to the difference degree between the physiological data and the adjacent growth stages, and all the growth stages are aggregated into growth clusters equal to the number of the sizes and sub-models of the diapers to be produced; as in the example described above, 25 diaper types were intended to be produced, and therefore, the physiological data obtained as one growth stage per 0.25KG body weight interval can be aggregated into 25 growth clusters. Meanwhile, the weight interval range corresponding to each growth cluster is also determined, for example, two growth stages, namely the growth stage with the weight of 2.5-2.75KG and the growth stage with the weight of 2.75-3KG, are aggregated into the same growth cluster, and the weight interval range corresponding to the growth cluster is obviously 2.5-3 KG.
The specific process of aggregating the physiological data obtained from each growth phase by the degree of difference from the adjacent growth phases is described herein. Physiological data samples for each of the 1000 infants at each growth stage are expressed as the following feature vectors:
Bij＝＜α·Wij，β·Kij，γ·Hij，·Tij，·Lij＞
wherein, the lower label i represents the ith growth stage, the value range of i is 0-n, n is the total number of the growth stage, the lower label j represents the jth baby in the growth stage, the value range of j is 0-999, W represents the weight value, K represents the waist value, H represents the hip value, T represents the leg value, L represents the leg length value, and alpha, beta, gamma represent the weight parameters corresponding to each type of physiological data, the weight parameters are determined according to the influence of the type of physiological data on the diaper size design, for example, the influence of the waist and leg is large, and the corresponding weight parameters beta have large values; if the weight influence is centered, the corresponding weight parameter value alpha is centered, and if the hip circumference and leg length influence is small, the corresponding weight parameter gamma and the sumThe value may be less than the waist and leg girth and body weight. Then 1000 eigenvectors B for the ith growth phaseij(j is 0 to 999), and the average feature vector is obtained
The average feature vector
The value of center W, K, H, T, L is such that the average feature vector is
And 1000 eigenvectors Bij(j 0-999) minimizing the average of 1000 vector distance values, and averaging the feature vectors
And feature vector BijThe vector distance value of (d) is expressed as:
then, the average feature vector of each of the n growth stages is obtained
Then, the average feature vector of the ith growth stage is calculated
Average eigenvector of i +1, i-1 growth stage adjacent to it
And
adjacent vector distance between, e.g. mean feature vector
And average feature vector
The value of the adjacent vector distance between them is expressed as
Thus, after all the n growth stages have been found, the two growth stages with the smallest adjacent vector distance value are first merged into one growth cluster, the two growth stages with the next to last smaller adjacent vector distance value are then merged into one growth cluster, and the iteration is repeated in the same way until the number of finally obtained growth clusters is equal to the number of diaper size sub-models to be produced, i.e. 25 in this example.
Secondly, counting and averaging the sample physiological data of all the infants contained in each growth cluster, further determining the average value of the physiological data reflecting the body size of the infant, such as the weight, the waist circumference, the hip circumference, the leg circumference and the leg length in each growth cluster, and determining the growth rate of the average value of the physiological data in two adjacent growth clusters. For two adjacent growth clusters, the average value of different types of physiological data of the weight, the waist size, the hip size, the leg size and the leg size has corresponding growth rates, for example, a certain growth cluster has a 10% increase in the weight, a 3% increase in the waist size and a 2% increase in the leg size compared with the adjacent growth cluster, because the growth rates of the weight and the body size during the human body development are different, a standard conversion coefficient corresponding to each type of physiological data can be set, the growth rates of different types of physiological data of the weight, the waist size, the hip size, the leg size and the leg size are multiplied by the corresponding standard conversion coefficients, and then the standard growth rate values are converted into standard growth rate values, and then the average value of the standard growth rate values is calculated as the growth rate of the average value of the physiological data in the two adjacent growth clusters.
S103: according to the average value of the physiological data of each growth cluster and the growth rate of adjacent growth clusters, determining the sizes of the diaper type numbers corresponding to the growth clusters, and dividing the diaper types contained in each suit type and/or the number of pieces of each type number.
In this embodiment, when the physiological data of each growth cluster is analyzed, the average value of the physiological data of each growth cluster and the growth rate of the adjacent growth clusters are determined. According to the average value of the physiological data of the weight, the waistline, the hip circumference, the leg circumference and the leg length of each growth cluster, the sizes of the front piece, the rear piece, the crotch and other structures of the diaper type corresponding to the growth cluster are designed, so that the shape and the size of the diaper with the sub-type number are well matched with the body size of the infant with the growth cluster.
And dividing the number of pieces of the paper-urine trousers model and/or each sub-type number contained in each suit model according to the growth rate of each growth cluster relative to its neighboring growth clusters. In the foregoing description of this embodiment, the 25 size sub-models of diapers are preset to be divided into a total of five diaper sets, and the model of each set is NB model, S model, M model, L model, and XL model. The division of the package model can be made in the following manner. (1) Assuming that each set of diapers is intended to include five sub-models, for example, the diapers in the NB model set include sub-model 1, sub-model 2, sub-model 3, sub-model 4, and sub-model 5. According to the growth rate of each growth cluster relative to the growth clusters adjacent to the growth cluster, the higher the growth rate is, the fewer the number of the paper diaper model corresponding to the growth cluster is. For example, as an NB model set, assuming that 5 sheets are used as a reference unit, and the growth rate of the adjacent growth clusters corresponding to the sub-model 1 and the sub-model 2 is 5%, the growth rate of the adjacent growth clusters corresponding to the sub-model 2 and the sub-model 3 is 6%, the growth rate of the adjacent growth clusters corresponding to the sub-model 3 and the sub-model 4 is 2%, the growth rate of the adjacent growth clusters corresponding to the sub-model 4 and the sub-model 5 is 3%, and the growth rate of the adjacent growth clusters corresponding to the sub-model 5 and the sub-model 6 is 1%, it can be seen that the NB model set includes 5 sheets of diapers of the sub-model 1, 4 sheets of diapers of the sub-model 2, 10 sheets of diapers of the sub-model 3, 6 sheets of diapers of the sub-model 4, and 15 sheets of diapers of the sub-model 5, the number of sheets is smaller as the growth rate is higher, so that it can be avoided that the diapers with smaller sizes caused by too fast growth of infants, thereby causing waste. For example, infants grow faster at a certain growth clustering stage, and the diaper of the month has a smaller size in general, so the number of sizes should not be too large; when the baby grows relatively slowly in another growth clustering stage, the number of the sub-type numbers of the diaper can be increased appropriately. (2) According to the growth rate of each growth cluster relative to the growth clusters adjacent to the growth cluster, the higher the growth rate is, the fewer the number of the diaper type numbers corresponding to the growth cluster is; then, a plurality of paper diapers with continuous sizes are selected and sequentially combined into sets from NB to XL, so that the number of the paper diapers contained in each set of set tends to be the same after combination. For example: taking 5 pieces as a reference unit, the growth rate of the adjacent growth clusters corresponding to the sub-model 1 and the sub-model 2 is 3%, the growth rate of the adjacent growth clusters corresponding to the sub-model 2 and the sub-model 3 is 6%, the growth rate of the adjacent growth clusters corresponding to the sub-model 3 and the sub-model 4 is 2%, the growth rate of the adjacent growth clusters corresponding to the sub-model 4 and the sub-model 5 is 5%, and the growth rate of the adjacent growth clusters corresponding to the sub-model 5 and the sub-model 6 is 1%, the number of the paper diapers corresponding to the sub-model 1 is 6, the number of the paper diapers corresponding to the sub-model 2 is 4, the number of the paper diapers corresponding to the sub-model 3 is 10, the number of the paper diapers corresponding to the sub-model 4 is 4, the number of the paper diapers corresponding to the sub-model 5 is 15, the number of the pieces is smaller as the higher the growth rate is, then, the number of the paper diapers included in each suit model tends to be the same, the sub-model 1 to the, both sets had 20 diapers each.
S104: producing the diapers of different sub models according to the size determined in the step S103; and combining the produced paper diaper type numbers into various paper diaper sets according to the division of the NB-XL set type numbers by S103. And then packaged and sold according to the set to meet the requirements of different customers. For example, according to the diaper type number included in each suit, the respective weight interval ranges of the growth clusters corresponding to the type numbers are determined, and then the weight interval ranges of the infants and children applicable to the suit are determined in an accumulated manner; the weight interval range and the suit type are printed on the outer package together, so that consumers can conveniently select the weight interval range according to the weights of the infants. In addition, the distribution range of other auxiliary physiological parameters such as the month of the growth cluster corresponding to the paper-urine trousers model contained in each suit, the height and the like can be counted, and then the statistical distribution range is printed on the outer package for providing more purchasing reference bases for consumers.
The diaper suit formed by the diaper suit combination method adapting to the development of the body of the baby is characterized in that the sizes of a plurality of sub-types of diapers in each suit form smooth gradual change, so that the sizes of the diapers and the development and growth of the body of the baby in one stage can be well matched, the comfort of the baby is improved, the problems of leakage and strangulation are avoided, the selection and purchase of consumers are facilitated through scientific combination of the suit, and the waste of the diapers is avoided.
Fig. 2 is a flowchart of a method for assembling a diaper set adapted to the development of an infant according to a second embodiment of the present application. The method for combining the paper diaper suit suitable for the body development of the infant comprises the following steps:
s201: the method comprises the steps of acquiring physiological data of body development of an infant with preset numerical quantity based on big data technology, wherein the physiological data comprises the weight, waistline, hip circumference, leg circumference and leg length of the infant in each growth stage.
In order to determine the fit diaper suit according to the growth and development rule of the infant, objective data of the growth and development rule of the infant needs to be acquired first, and therefore physiological data of the body development of the infant with a preset numerical value can be acquired based on a big data technology.
S202: classifying the physiological data, and dividing the physiological data into female infant physiological data and male infant physiological data.
In this embodiment, since the growth and development speeds of the male infant and the female infant are different in the infant period, in order to enable the size of the diaper set combined by the embodiment of the present application to better match the body size of the infant, after the physiological data of the body development of the infant with a preset numerical value is obtained based on the big data technology, the physiological data may be classified by using gender as a standard, and the physiological data is divided into physiological data of the female infant and physiological data of the male infant, so that when the diaper set is combined, the diaper set of the male infant and the diaper set of the female infant are combined according to the physiological data of the male infant, and the diaper set of the female infant is combined according to the physiological data of the female infant.
S203: determining the body size of the infant in each growth stage according to the physiological data of the male infant or the female infant; and aggregating all the growth stages into growth clusters equal to the number of the diaper size sub-models to be produced.
After the physiological data of the body development of the male infant or the female infant is acquired, the acquired physiological data can be analyzed and processed, and then the body size and the growth rate of the infant in each growth stage are determined. Specifically, aggregating physiological data acquired in each growth stage according to the difference degree between the physiological data and the adjacent growth stages, and aggregating all the growth stages into growth clusters equal to the number of the sizes and sub-models of the diapers to be produced; and carrying out statistics and averaging on the sample physiological data of all the infants contained in each growth cluster, further determining the average value of the physiological data reflecting the body size of the infant, such as the weight, the waist length, the hip length, the leg length and the leg length in each growth cluster, and determining the growth rate of the average value of the physiological data in two adjacent growth clusters.
S204: according to the average value of the physiological data of each growth cluster and the growth rate of adjacent growth clusters, determining the sizes of the diaper type numbers corresponding to the growth clusters, and dividing the diaper types contained in each suit type and/or the number of pieces of each type number.
Specifically, the size of the paper-urine trousers model corresponding to each growth cluster is designed according to the average value of the physiological data of the weight, the waist circumference, the hip circumference, the leg circumference and the leg length of the male infant or the female infant in each growth cluster.
According to the growth rate of each growth cluster relative to the adjacent growth clusters and the growth rate of the baby in each month, the number of the diaper types and/or the sub-type numbers contained in each suit type is divided, so that the higher the growth rate of each growth cluster relative to the adjacent growth clusters, the fewer the number of the diaper types corresponding to the growth cluster, and the waste caused by the fact that the baby grows too fast to cause the diaper with smaller size to be out of position is avoided.
S205: producing the paper diapers of different sub models according to the determined sizes; and according to the division of the types of the paper diaper sets, the produced paper diapers are combined into corresponding girl paper diaper sets and male paper diaper sets.
The diaper suit formed by the diaper suit combination method adapting to the body development of the baby is characterized in that the diaper suit is formed by combining the diaper suit combination method adapting to the body development of the baby, the sizes of a plurality of sub-types of diapers in each suit form smooth gradual change, the sizes of the diapers and the body of the baby can be well matched with each other in one stage, the comfort of the baby is improved, the problems of leakage and strangulation are avoided, the shopping of consumers is facilitated through the scientific combination of the suit, the waste of the diapers is avoided simultaneously, and different suits can be separately provided for the baby boy and the baby girl.
Fig. 3 is a schematic structural view of a diaper kit system adapted to the development of an infant according to a third embodiment of the present application. The diaper suit combined system adapted to the body development of the infant of the embodiment comprises:
the physiological data acquisition module 301 is configured to acquire physiological data of physical development of an infant in a preset numerical quantity based on a big data technology.
Specifically, physiological data of body development of an infant with a preset numerical value can be acquired based on a big data technology, and the specific value of the preset numerical value can be determined based on a statistical empirical rule and can also be set manually according to actual needs. Selecting a preset number of infants in each weight interval range, and taking the weight interval range as a representation of the growth stage of the infants. The physiological data includes the weight, waist circumference, hip circumference, leg circumference and leg length of the infant in the growth stage, and may also include other auxiliary physiological parameters such as height, month and the like.
A physiological data analysis module 302, configured to analyze the physiological data and determine a body size of the infant in each growth stage; and aggregating all the growth stages into growth clusters equal to the number of the diaper size sub-models to be produced.
Specifically, the physiological data acquired in each growth stage can be aggregated according to the difference degree between the physiological data and the adjacent growth stages, and all the growth stages are aggregated into growth clusters equal to the number of the sizes and the sub-models of the diapers to be produced; and carrying out statistics and averaging on the sample physiological data of all the infants contained in each growth cluster, further determining the average value of the physiological data reflecting the body size of the infant, such as the weight, the waist length, the hip length, the leg length and the leg length in each growth cluster, and determining the growth rate of the average value of the physiological data in two adjacent growth clusters.
A size number determining module 303, configured to determine, according to the average value of the physiological data of each growth cluster and the growth rate of the adjacent growth clusters, the size of the diaper type number corresponding to the growth cluster, and divide the number of the diaper types and/or the number of pieces of each type number included in each suit type.
Specifically, the size of the paper diaper model corresponding to each growth cluster is determined according to the average value of the physiological data of the weight, the waist length, the hip circumference, the leg circumference and the leg length of each growth cluster; and dividing the number of the diaper types and/or the sub-type numbers contained in each suit type according to the growth rate of the baby in each growth cluster relative to the adjacent growth cluster, so that the higher the growth rate of each growth cluster relative to the adjacent growth cluster is, the fewer the number of the diaper types corresponding to the growth cluster is, and the waste caused by the fact that the baby grows too fast to cause the diaper with smaller size to be out of order is avoided.
And the sleeving combination module 304 is used for producing the diapers of the sub-models according to the determined sizes, and combining the produced diapers of the sub-models into diaper sleeving according to the division of the diaper sleeving models.
As an optional embodiment of the present application, the physiological data analysis module may further comprise a classification unit for classifying physiological data of a male infant and physiological data of a female infant.
The embodiments of the present application can achieve similar technical effects as the embodiments described above, and are not described herein again.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (4)
1. A method for combining a paper diaper suit suitable for the body development of an infant is characterized by comprising the following steps:
dividing the weight distribution range of the baby into equal weight intervals based on a big data technology, taking each weight interval as a growth stage, and acquiring physiological data of the body development of the baby with a preset numerical value for each growth stage; the specific value of the preset numerical value is determined based on a statistical empirical rule, and/or is manually set according to actual needs and acquisition conditions, and a preset number of babies are selected within each weight interval;
analyzing and processing the physiological data to determine the body size of the infant in each growth stage; and all growth stages are aggregated into growth clusters with the number equal to the size sub-models of the diapers to be produced;
determining the size of the paper urine trousers model corresponding to each growth cluster according to the average value of the physiological data of each growth cluster; dividing the number of the paper-urine trousers contained in each suit model and/or the number of the pieces of each sub-model according to the growth rate of the adjacent growth clusters;
wherein, all growth stages are aggregated into growth clusters with the number equal to the size sub-model of the paper diaper to be produced, and the method specifically comprises the following steps: aggregating the physiological data acquired in each growth stage according to the difference degree between the physiological data and the physiological data of the adjacent growth stages, and expressing the physiological data sample of each infant in the infants with the preset numerical value in each growth stage as the following characteristic vector:
Bij＝<α·Wij，β·Kij，γ·Hij，·Tij，·Lij>
wherein the lower label i represents the ith growth stage, the value range of i is 0-n, n is the total number of the growth stages, the lower label j represents the jth baby in the growth stage, the value range of j is 0-the preset value, W represents the weight value, K represents the waist circumference value, H represents the hip circumference value, T represents the leg circumference value, L represents the leg length value, and alpha, beta and gamma respectively represent the weight parameters corresponding to each type of physiological data, and the weight parameters are determined according to the influence of the type of physiological data on the size design of the diaper; for the i growth stage, a predetermined number of feature vectors BijTo find the average feature vector
The average feature vector
The value of center W, K, H, T, L is such that the average feature vector is
And a predetermined number of feature vectors BijThe average value of the distance values of the vectors of the preset value quantity is minimized, and the average characteristic vector is obtained
And feature vector BijThe vector distance value of (d) is expressed as:
obtaining an average eigenvector for each of the n growth stages
Then, the average feature vector of the ith growth stage is calculated
Average eigenvector of i +1, i-1 growth stage adjacent to it
And
adjacent vector distance therebetween; for all n growth stages, after all adjacent vector distance values are obtained, firstly merging the two growth stages with the minimum adjacent vector distance value into the same growth cluster, further merging the two growth stages with the next-to-last small adjacent vector distance value into the same growth cluster, and repeating the steps until all the growth stages are aggregated into growth clusters with the number equal to that of the sizes and the sub-models of the diapers to be produced;
the method comprises the following steps of dividing the number of the paper-urine trousers contained in each suit model and/or the number of the pieces of each sub-model according to the growth rate of adjacent growth clusters, wherein the method specifically comprises any one of the following two modes: the first mode is that each diaper of each preset set type comprises five sub-types, and according to the growth rate of each growth cluster relative to the adjacent growth cluster, the higher the growth rate is, the fewer the number of the diaper sub-types corresponding to the growth cluster is; the second mode is that according to the growth rate of each growth cluster relative to the adjacent growth clusters, the higher the growth rate is, the fewer the number of the diaper type numbers corresponding to the growth clusters is; then selecting a plurality of paper diaper type numbers with continuous sizes, and sequentially combining the paper diaper type numbers into all the suit types, so that the number of the paper diaper pieces contained in each suit type tends to be the same after combination;
wherein the growth rate of the neighboring growth clusters is calculated as: for each growth cluster, calculating an average of the physiological data for the body size of the infant within each growth cluster; and calculating the growth rates of different types of physiological data in two adjacent growth clusters, multiplying the growth rates of the different types of physiological data by respective corresponding standard conversion coefficients to obtain standard growth rate values, and calculating the average of the standard growth rate values to serve as the growth rates of the two adjacent growth clusters.
2. The method of claim 1, wherein the physiological data includes body weight, waist circumference, hip circumference, leg circumference, and leg length of the infant at each growth stage.
3. The method of claim 1, further comprising, prior to performing analytical processing on the physiological data: classifying the physiological data, and dividing the physiological data into female infant physiological data and male infant physiological data; and according to the division of each suit model, combining the corresponding baby girl diaper suit and the baby boy diaper suit.
4. A diaper suit combination system adapted to the physical development of an infant, comprising:
the physiological data acquisition module is used for dividing the weight distribution range of the baby into equal weight intervals based on a big data technology, taking each weight interval as a growth stage, and acquiring physiological data of the body development of the baby with a preset numerical value for each growth stage; the specific value of the preset numerical value is determined based on a statistical empirical rule, and/or is manually set according to actual needs and acquisition conditions, and a preset number of babies are selected within each weight interval;
the physiological data analysis module is used for analyzing and processing the physiological data and determining the body size of the infant in each growth stage; and all growth stages are aggregated into growth clusters with the number equal to the size sub-models of the diapers to be produced;
the size number determining module is used for determining the size of the diaper type number corresponding to each growth cluster according to the average value of the physiological data of each growth cluster, and dividing the diaper type number contained in each set of type and/or the number of pieces of each sub-type according to the growth rate of adjacent growth clusters;
the sleeving combination module is used for producing paper diapers of various sub-models according to the determined sizes, and combining the produced paper diapers of sub-models into a paper diaper suit according to the division of the paper diaper suit models;
wherein the physiological data analysis module is specifically configured to: aggregating the physiological data acquired in each growth stage according to the difference degree between the physiological data and the physiological data of the adjacent growth stages, and expressing the physiological data sample of each infant in the infants with the preset numerical value in each growth stage as the following characteristic vector:
Bij＝<α·Wij，β·Kij，γ·Hij，·Tij，·Lij>
wherein the lower label i represents the ith growth stage, the value range of i is 0-n, n is the total number of the growth stages, the lower label j represents the jth baby in the growth stage, the value range of j is 0-the preset value, W represents the weight value, K represents the waist circumference value, H represents the hip circumference value, T represents the leg circumference value, L represents the leg length value, and alpha, beta and gamma respectively represent the weight parameters corresponding to each type of physiological data, and the weight parameters are determined according to the influence of the type of physiological data on the size design of the diaper; for the i growth stage, a predetermined number of feature vectors BijTo find the average feature vector
The average feature vector
The value of center W, K, H, T, L is such that the average feature vector is
And a predetermined number of feature vectors BijThe average value of the distance values of the vectors of the preset value quantity is minimized, and the average characteristic vector is obtained
And feature vector BijThe vector distance value of (d) is expressed as:
obtaining an average eigenvector for each of the n growth stages
Then, the average feature vector of the ith growth stage is calculated
Average eigenvector of i +1, i-1 growth stage adjacent to it
And
adjacent vector distance therebetween; for all n growth stages, after all adjacent vector distance values are solved, firstly, the two growth stages with the minimum adjacent vector distance value are combined into the same growth cluster, and then the growth cluster with the penultimate distance value is obtainedCombining two growth stages with two small adjacent vector distance values into the same growth cluster, and repeating in the same way until all the growth stages are aggregated into growth clusters with the number equal to the size sub-models of the diapers to be produced;
the size number determining module is specifically used for dividing the number of the paper diaper model and/or the number of the sub-models contained in each suit model by adopting any one of the following two ways: the first mode is that each diaper of each preset set type comprises five sub-types, and according to the growth rate of each growth cluster relative to the adjacent growth cluster, the higher the growth rate is, the fewer the number of the diaper sub-types corresponding to the growth cluster is; the second mode is that according to the growth rate of each growth cluster relative to the adjacent growth clusters, the higher the growth rate is, the fewer the number of the diaper type numbers corresponding to the growth clusters is; then selecting a plurality of paper diaper type numbers with continuous sizes, and sequentially combining the paper diaper type numbers into all the suit types, so that the number of the paper diaper pieces contained in each suit type tends to be the same after combination;
wherein the growth rate of the neighboring growth clusters is calculated as: for each growth cluster, calculating an average of the physiological data for the body size of the infant within each growth cluster; and calculating the growth rates of different types of physiological data in two adjacent growth clusters, multiplying the growth rates of the different types of physiological data by respective corresponding standard conversion coefficients to obtain standard growth rate values, and calculating the average of the standard growth rate values to serve as the growth rates of the two adjacent growth clusters.
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