CN113468623A - Clothing material pre-estimation calculation method, system and equipment - Google Patents

Clothing material pre-estimation calculation method, system and equipment Download PDF

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Publication number
CN113468623A
CN113468623A CN202110756601.5A CN202110756601A CN113468623A CN 113468623 A CN113468623 A CN 113468623A CN 202110756601 A CN202110756601 A CN 202110756601A CN 113468623 A CN113468623 A CN 113468623A
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clothing
garment
data
style
utilization rate
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Inventor
周立宸
陶晓华
朱建龙
岳春明
陈玉娟
顾摇摇
姚严君
李玲
江宇隆
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Hailan Home Group Co ltd
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Hailan Home Group Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/12Cloth

Abstract

The invention provides a prediction calculation method for clothing materials, which comprises the following steps: acquiring clothing volume data, and respectively calculating an average value of each clothing parameter of the clothing volume data to obtain the average value of each clothing parameter of the clothing volume data; acquiring the specification and size data of a clothing template with a set style and the same or similar style, and respectively and independently discharging according to the specification and size to obtain the reference utilization rate of the clothing style; and acquiring the total number data of the clothing production, triggering a clothing material pre-estimation calculation model, and outputting the pre-estimation fabric material consumption value.

Description

Clothing material pre-estimation calculation method, system and equipment
Technical Field
The invention relates to the field of clothing intellectualization, in particular to a method, a system and equipment for estimating and calculating clothing materials.
Background
In the field of large-scale customization of clothes, a large amount of storage of common fabrics is generally carried out; in actual use, one order is taken from the warehouse, the materials are extracted and cut, and then the redundant materials are returned to the warehouse; the used fabrics are matched fabrics. After the order contract between the clothing enterprise and the customer unit is completed, the clothing of the whole unit needs to be calculated, and the total quantity of the fabrics is needed to analyze the cost budget of the clothing making and processing, but after the contract is signed, no measurement body or no measurement body is finished, the calculation of the consumption is needed to be too late for typesetting due to time, and no fabric is purchased, so that the total quantity of the whole made fabrics cannot be accurately calculated by typesetting. The enterprise manager brings great confusion, and the traditional cost calculation mode is the consumption estimated by the enterprise through experience accumulation for many years, so that the situation that the inventory pressure is increased due to estimation or the fabric is purchased again due to estimation is reduced, the cost is increased, and the production period is prolonged. For example, when a traditional cost calculation mode is used, an original empirical formula is used, a large deviation exists in actual use, materials are drawn from a warehouse according to the large deviation, the quantity is often insufficient (less than 5%), and materials are supplemented; or a lot of the actual clipping (many times, which often exceeds 10% of margin) and then a lot of library withdrawal is performed.
Therefore, a set of clothes material estimation calculation method is rapidly developed to improve the working efficiency and accurately estimate the fabric consumption.
Disclosure of Invention
One of the objectives of the present invention is to provide a method, a system and a device for estimating and calculating a material consumption of a garment, which can improve the work efficiency and accurately estimate the material consumption.
The invention aims to provide a method, a system and equipment for estimating and calculating a garment material, which can estimate the fabric usage amount without pre-typesetting, carry out material receiving in a warehouse or a workshop according to estimated data, and finally carry out actual cutting, wherein the allowance range can be controlled.
One of the purposes of the invention is to provide a method, a system and equipment for estimating and calculating clothing materials, which can accurately and reliably calculate the quantity; especially when aiming at rare fabric orders, the materials are prepared according to the method, so that the waste of the fabrics can be greatly reduced.
In order to achieve at least one of the above objects, the present invention provides a method for estimating and calculating clothing materials, comprising the steps of:
acquiring clothing volume data, and respectively calculating an average value of each clothing parameter of the clothing volume data to obtain the average value of each clothing parameter of the clothing volume data;
acquiring the specification and size data of a clothing template with a set style and the same or similar style, and respectively and independently discharging according to the specification and size to obtain the reference utilization rate of the clothing style; and
acquiring the total number data of the clothing production, triggering a clothing material pre-estimation calculation model, and outputting the pre-estimation fabric material consumption value.
In some embodiments, the clothes volume data is selected from one or more of upper clothes volume data and lower clothes volume data; the clothing parameter data is selected from one or more of chest circumference data, clothing length data, waist circumference data, hip circumference data and trousers length data.
In some embodiments, the method for calculating the garment material estimate further comprises the following steps:
obtaining the specification and size of a clothing template with a set style, and respectively and independently discharging according to the specification and size to obtain the average value of the utilization value of each discharging result;
obtaining other style clothes templates with the same or similar style of the set style, executing typesetting measurement and calculation, and obtaining the average value of the utilization rate of each layout result of the same or similar style clothes;
and obtaining the average value of the utilization rates, averaging again, obtaining the utilization loss value for tailoring, and obtaining the reference utilization rate of the set clothing style.
In some embodiments, the method for calculating the garment material estimate further comprises the following steps: and acquiring the average value data of each clothing parameter of the clothing volume data, summing to obtain the clothing parameter average value sum serving as the volume data average value sum, and inputting the clothing material estimation model.
In some embodiments, the method for calculating the garment material estimate further comprises the following steps: in the prediction calculation model of the clothing material, the value S of the fabric consumption is predictedGeneral assemblyThe total number of measurement volume data average values, the standard utilization rate of a predetermined clothing style, and the total number of clothing production items.
In some embodiments, the method for calculating the garment material estimate further comprises the following steps: the prediction calculation model of the garment materials is triggered, the calculation of the prediction total consumption of the upper garment cutting fabric is executed, and the calculation formula is as follows:
Figure BDA0003147851750000031
Figure BDA0003147851750000032
wherein S isGeneral assemblyThe total consumption of the fabric is estimated for cutting the jacket,
Figure BDA0003147851750000033
the average value of the chest circumference data in the jacket volume data,
Figure BDA0003147851750000034
the average value of the coat length data in the coat volume data is shown, rho is the standard utilization rate of the coat style template, and N is the total number of coats.
In some embodiments, the method for calculating the garment material estimate further comprises the following steps: the prediction calculation model of the clothing materials is triggered to calculate the reference utilization rate of the coat style template, and a calculation formulaComprises the following steps: ρ ═ p (ρ)123+……+ρx)/x×(100%+y);
Wherein rho is the standard utilization rate of the jacket style template, and rho1To rhoxAnd (3) respectively and independently discharging the average value of the utilization rate of the discharging result for each jacket style template according to the specification and the size, wherein x is the total number of the jacket style templates, and y is the cutting utilization loss value of each jacket.
In some embodiments, wherein each jacket cut utilizes a loss value y in the range of 1% to 6%.
In some embodiments, wherein each jacket cut utilizes a loss value y of 2%.
In some embodiments, the method for calculating the garment material estimate further comprises the following steps: the prediction calculation model of the clothing materials is triggered, the calculation of the prediction total consumption of the fabric for cutting the lower garment is executed, and the calculation formula is as follows:
Figure BDA0003147851750000035
Figure BDA0003147851750000036
wherein S isGeneral assemblyThe total consumption of the cut fabric for the lower garment is estimated,
Figure BDA0003147851750000037
is an average value of waist circumference data in the lower-fit volume data,
Figure BDA0003147851750000038
is the average of the pant length data in the lower garment volume data,
Figure BDA0003147851750000039
the average value of hip circumference data in the lower garment measuring volume data is shown, rho is the reference utilization rate of the lower garment style template, and N is the total number of lower garment pieces.
In some embodiments, the method for calculating the garment material estimate further comprises the following steps: the prediction calculation model of the clothing materials is triggered to execute the lower clothing style templateThe calculation formula of the reference utilization rate is as follows: ρ ═ p (ρ)123+……+ρx)/x×(100%+z);
Wherein rho is the reference utilization rate of the lower-dress style template, rho1To rhoxAnd (3) respectively and independently discharging the material for each lower clothing style template according to the specification and the size, and then averaging the utilization rate of the material discharging result, wherein x is the total number of the lower clothing style templates, and z is the utilization loss value of each lower clothing cutting.
In some embodiments, wherein each piece of bottom dress trim utilizes a loss value z in a range of 1% to 6%.
In some embodiments, wherein each piece of bottom up trim utilizes a loss value z of 2%.
According to another aspect of the present invention, there is also provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the clothing material prediction calculation method.
According to another aspect of the present invention, there is also provided a clothing material prediction calculation apparatus including:
a memory for storing a software application,
and the processor is used for executing the software application program, and each program of the software application program correspondingly executes the steps of the clothing material estimation and calculation method.
According to another aspect of the present invention, there is also provided a clothing material prediction computing system, including a volume data unit, a reference utilization rate unit and a clothing material prediction model unit, wherein the volume data unit is configured to perform the following steps: extracting volume data; performing 1-dismantling settlement on more than 1 clothing order; calculating the average value of each garment parameter data in the volume measuring data; counting the total production quantity in the order; wherein the reference utilization unit is configured to perform the steps of: extracting clothing template data; adjusting the pick-and-place code layer; setting cut piece attributes; setting fabric properties; performing a layout calculation; and outputting a reference utilization rate; wherein the clothing material prediction model unit is configured to: acquiring an average value of each garment parameter data, a production quantity value in an order and a reference utilization rate value; and performing prediction of the amount value of the garment material.
In some embodiments, wherein the garment volume data is selected from upper garment volume data and the garment parameter data is selected from frame size data, length of garment data;
the garment material estimation model unit executes an estimation calculation formula of the upper garment fabric consumption value, wherein the estimation calculation formula comprises the following steps:
Figure BDA0003147851750000041
wherein S isGeneral assemblyThe total consumption of the fabric is estimated for cutting the jacket,
Figure BDA0003147851750000042
the average value of the chest circumference data in the jacket volume data,
Figure BDA0003147851750000043
the average value of the coat length data in the coat volume data is shown, rho is the standard utilization rate of the coat style template, and N is the total number of coats;
wherein, the reference utilization rate unit executes a calculation formula of the reference utilization rate as follows: ρ ═ p (ρ)123+……+ρx)/x×(100%+y);
Wherein rho is the standard utilization rate of the jacket style template, and rho1To rhoxAnd (3) respectively and independently discharging the average value of the utilization rate of the discharging result for each jacket style template according to the specification and the size, wherein x is the total number of the jacket style templates, and y is the cutting utilization loss value of each jacket.
In some embodiments, wherein each jacket cut utilizes a loss value y in the range of 1% to 6%.
In some embodiments, wherein the garment volume data is selected from the group consisting of lower garment volume data, garment parameter data is selected from the group consisting of garment length data, waist circumference data, hip circumference data, pant length data;
the garment material prediction model unit executes a prediction calculation formula of the material consumption value of the lower garment fabric, wherein the prediction calculation formula comprises the following steps:
Figure BDA0003147851750000051
wherein S isGeneral assemblyThe total consumption of the cut fabric for the lower garment is estimated,
Figure BDA0003147851750000052
is an average value of waist circumference data in the lower-fit volume data,
Figure BDA0003147851750000053
is the average of the pant length data in the lower garment volume data,
Figure BDA0003147851750000054
the mean value of hip circumference data in the lower garment measuring volume data is shown, rho is the reference utilization rate of the lower garment style template, and N is the total number of lower garment pieces;
wherein rho is the reference utilization rate of the lower-dress style template, rho1To rhoxAnd (3) respectively and independently discharging the material for each lower clothing style template according to the specification and the size, and then averaging the utilization rate of the material discharging result, wherein x is the total number of the lower clothing style templates, and z is the utilization loss value of each lower clothing cutting.
In some embodiments, wherein each piece of bottom dress trim utilizes a loss value z in a range of 1% to 6%.
Drawings
Fig. 1 is a flowchart illustrating steps of a method for calculating a prediction of a garment material according to an embodiment of the present invention.
Fig. 2 is a flowchart of the steps of a garment material estimate computing system for performing fabric usage value estimation on a jacket, according to an embodiment of the invention.
Fig. 3 is a schematic diagram of the clothing material estimation calculation system according to the above embodiment of the invention.
Fig. 4 is a schematic diagram of the clothing material estimation calculation system according to the above embodiment of the invention.
Fig. 5 is a schematic diagram of the clothing material estimation calculation system according to the above embodiment of the invention.
Fig. 6 is a flowchart of the steps of a garment material estimate calculation system for estimating fabric usage for an underrun garment according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of the clothing material estimation calculation system according to the above embodiment of the invention.
Fig. 8 is a schematic diagram of the clothing material estimation calculation system according to the above embodiment of the invention.
Fig. 9 is a schematic diagram of the clothing material estimation calculation system according to the above embodiment of the invention.
Fig. 10-18 are graphs of actual validated order statistics according to embodiments of the invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
The present invention relates to a computer program. Fig. 1 is a flow chart of a method for estimating and calculating a clothing material according to the present invention, which illustrates a solution for controlling or processing an external object or an internal object of a computer by executing a computer program prepared according to the above flow on the basis of a computer program processing flow to solve the problems of the present invention. By the method for estimating and calculating the clothing materials, a computer system can be utilized, the working efficiency and the accurate estimated fabric consumption in the field of large-scale clothing customization are improved, the cost is reduced, and the production period is ensured. It should be understood that the term "computer" as used herein refers not only to desktop computers, notebook computers, tablet computers, etc., but also includes other intelligent electronic devices capable of operating according to programs and processing data.
Specifically, as shown in fig. 1, the method for estimating and calculating the clothing material includes the following steps:
s100: acquiring clothing volume data, and respectively calculating an average value of each clothing parameter of the clothing volume data to obtain the average value of each clothing parameter of the clothing volume data;
s200: acquiring the specification and size data of a clothing template with a set style and the same or similar style, and respectively and independently discharging according to the specification and size to obtain the reference utilization rate of the clothing style; and
s300: acquiring the total number data of the garment manufacturing, triggering a garment material estimation model, and outputting the estimated fabric material consumption value.
In step S100, the clothing volume data is selected from one or more of upper clothing volume data and lower clothing volume data; the clothing parameter data is selected from one or more of chest circumference data, clothing length data, waist circumference data, hip circumference data and trousers length data.
In step S200, the method further includes the following steps:
acquiring the specification and size of a clothing template with a set style, respectively and independently discharging according to the specification and size, and acquiring the average value of the utilization value of each discharging result;
obtaining other style clothes templates with the same or similar style of the set style, executing typesetting measurement and calculation, and obtaining the average value of the utilization rate of each layout result of the same or similar style clothes;
and obtaining the average value of the utilization rates, averaging again, obtaining the utilization loss value for tailoring, and obtaining the reference utilization rate of the set clothing style.
Further, in step S300, the method for estimating and calculating the clothing material further includes the following steps:
and acquiring average value data of all clothing parameters of the clothing volume data, summing to obtain clothing parameter average value sum serving as volume data average value sum, and inputting the clothing parameter average value sum into the clothing material estimation model.
Further, in step S300, the method for estimating and calculating the clothing material further includes the following steps: in the prediction model of the clothing material, the value S of the material consumption is predictedGeneral assemblyThe total number of measurement volume data average values, the standard utilization rate of a predetermined clothing style, and the total number of clothing production items.
In a preferred embodiment, the garment volume data is selected from the group consisting of upper garment volume data and the garment parameter data is selected from the group consisting of bust data and length data. The total consumption of the fabric for cutting the upper garment can be obtained by utilizing the method for estimating and calculating the material for the garment.
Specifically, the average values of the bust and the length of the clothing volume data of a certain unit are calculated respectively: is calculated by the formula
Figure BDA0003147851750000071
Further, the templates of the jacket are individually discharged according to specification numbers 90/71, 92/71, 94/7196/71, 98/71, 100/73, 102/73, 104/73, 106/75, 108/75, 110/75, 112/75, 114/77, 116/77, 118/77, 120/77, 122/79, 124/79, 126/79, 128/79, 130/81, 132/81, 134/83, 136/83, 138/83, 140/83, 142/83, 144/83, 146/83, 148/83, 150/83, 152/83, 154/83, 156/83, 158/83, 160/83, 162/83, 164/83, 166/83 and 168/83, and adding the utilization rates of the discharging results to obtain rho1The same similar style template is typeset and calculated one by using the mode, and finally N rho values are obtainedxThen average value of utilization
Figure BDA0003147851750000072
Figure BDA0003147851750000073
Synthesis ofThe value of the utilization loss of each garment cut obtained by the practical experience of the workshop is 2 percent, and the value can be calculated
Figure BDA0003147851750000074
Further, the calculation formula of the estimation material for cutting the upper garment in the estimation model of the material for the garment is as follows:
Figure BDA0003147851750000075
wherein S isGeneral assemblyPre-estimating the total consumption for cutting the shell fabric for a jacket with a certain order;
Figure BDA0003147851750000076
the average value of the chest circumference in the upper garment volume data in a certain order is obtained; b is the chest circumference;
Figure BDA0003147851750000077
the average length of the clothes is measured for a certain order; l is the length of the clothes; rho is the average utilization rate of a certain jacket style template; n is the total number of upper garments in the order in this embodiment.
More specifically, in the prediction model of the clothing material, according to the formula S1=(B1+L11To obtain:
Figure BDA0003147851750000078
Figure BDA0003147851750000079
therefore, the estimated garment material model outputs the estimated total usage of the jacket fabric of the whole order in the embodiment of the invention.
It is worth mentioning that in practical effect, in this embodiment of the invention, the actual total amount S is tailored according to the plantFruit of Chinese wolfberryAnd estimate the total dosage SGeneral assemblyAnd (6) comparing. Wherein the rest fabric SThe residue is left=SGeneral assembly-SFruit of Chinese wolfberryThe ratio λ of the remaining fabric is (S)General assembly-SFruit of Chinese wolfberry)/SGeneral assemblyX 100% ═ 6%. Due to the defect problem of the fabric and the problem of the piece replacement caused by the sewing error possibly generated subsequently, the control range of the 6% interval control residual control range is a more reasonable interval range. In addition, due to different difficulty degrees of styles, the value of rho can be properly adjusted to control the proportion of the residual fabric when the formula is actually used.
In another preferred embodiment, the garment volume data is selected from the group consisting of lower garment volume data and the garment parameter data is selected from the group consisting of waist circumference data, hip circumference data, pant length data. That is, in this preferred embodiment of the present invention, the total amount of the cut fabric of the lower garment can be obtained by the estimated calculation method of the garment material of the present invention.
Specifically, the average waist, hip and pant length of the measurement volume data for a certain unit of lower garment were respectively averaged: is calculated by the formula
Figure BDA0003147851750000081
Figure BDA0003147851750000082
Further, the lower-mounted template is subjected to specification numbers 86/102, 88/102, 90/102, 92/102, 94/102, 96/102, 98/102, 100/102, 102/102, 104/102, 106/102, 108/102, 110/104, 112/104, 114/104, 116/104, 118/104, 120/106, 122/106, 124/106, 126/106, 128/106, 130/108, 132/108, 134/108, 136/108, 138/108, 140/108, 142/108, 144/108, 146/108, 148/108, 150/108, 152/108, 154/108, 156/108, 158/108, 160/108, 162/108, 164/108, 102/102, 166/108 discharging materials separately, and adding the utilization rates of discharging materials to obtain rho1The same similar style template is typeset and calculated one by using the mode, and finally N rho values are obtainedxThen average value of utilization
Figure BDA0003147851750000083
The value of the utilization loss of each garment cut obtained by the practical experience of a workshop is 2 percent, and the value can be calculated
Figure BDA0003147851750000084
Figure BDA0003147851750000085
Further, the calculation formula of the estimation material for the cutting of the lower garment in the estimation model of the material for the garment is as follows:
Figure BDA0003147851750000086
wherein S isGeneral assemblyThe total fabric consumption is cut for the order making;
Figure BDA0003147851750000087
the average waist circumference of the lower-loading measuring body; w is the bust;
Figure BDA0003147851750000088
the average length of the trousers is the average length of the lower garment measuring body; l is the length of the trousers;
Figure BDA0003147851750000089
the average hip circumference of the lower clothes weight body is measured; h is hip circumference; rho is the average utilization rate of the lower dress style template; n is the total number of packages placed for the order in this preferred embodiment of the invention.
Specifically, in the prediction model of the clothing material, according to the formula S1=(W1+L1+H11To obtain:
Figure BDA00031478517500000810
Figure BDA0003147851750000091
Figure BDA0003147851750000092
the estimated total consumption of the fabric for placing the whole order can be calculated.
It is worth mentioning thatIn practical effect, in this embodiment of the invention, the actual total quantity S is tailored according to the plantFruit of Chinese wolfberryAnd estimate the total dosage SGeneral assemblyComparing; wherein the rest fabric SThe residue is left=SGeneral assembly-SFruit of Chinese wolfberryThe ratio λ of the remaining fabric is (S)General assembly-SFruit of Chinese wolfberry)/SGeneral assemblyX 100% ═ 6%. Due to the defect problem of the fabric and the problem of the piece replacement caused by the sewing error possibly generated subsequently, the control range of the 6% interval control residual control range is a more reasonable interval range. In addition, because the difficulty degree of the style is not understood, the value of rho can be properly adjusted to control the proportion of the residual fabric when the formula is actually used.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
Those skilled in the art will appreciate that the methods of the present invention can be implemented in hardware, software, or a combination of hardware and software. The present invention can be realized in a centralized fashion in at least one computer system, or in a distributed fashion where different elements are spread across several interconnected computer systems. Any kind of computer system or other apparatus adapted for carrying out the methods described herein is suited. A typical combination of hardware and software could be a general purpose computer system with a computer program that, when being loaded and executed, controls the computer system such that it carries out the methods described herein.
The present invention can be embedded in a computer program product, which comprises all the features enabling the implementation of the methods described herein. The computer program product is embodied in one or more computer-readable storage media having computer-readable program code embodied therein. According to another aspect of the invention, there is also provided a computer-readable storage medium having stored thereon a computer program capable, when executed by a processor, of performing the steps of the method of the invention. Computer storage media is media in computer memory for storage of some discrete physical quantity. Computer storage media includes, but is not limited to, semiconductors, magnetic disk storage, magnetic cores, magnetic drums, magnetic tape, laser disks, and the like. It will be appreciated by persons skilled in the art that computer storage media are not limited by the foregoing examples, which are intended to be illustrative only and not limiting of the invention.
In accordance with another aspect of the present invention, corresponding to the embodiment of the method of the present invention, there is also provided a clothing material prediction computing system, which is an application of the clothing material prediction computing method of the present invention in computer program improvement.
The garment material pre-estimation calculation system is provided with a volume data unit, a reference utilization rate unit and a garment material pre-estimation model unit. The garment material estimation computing system can estimate the fabric material usage value of the upper garment and the lower garment.
In one embodiment, as shown in fig. 2-5, the estimation of the fabric usage value is performed for the jacket. In particular, the volume data unit is configured to: extracting volume data; 1-removing and settling more than 1 order; calculating the average value of the bust and the length of the clothes; and counting the production quantity. Specifically, the reference utilization unit is configured to: extracting template data; adjusting the pick-and-place code layer as shown in fig. 3; setting panel properties, as shown in FIG. 4; setting fabric properties as shown in fig. 5; calculating discharge; and outputting the benchmark utilization rate. Specifically, the clothing material prediction model unit is configured to: and acquiring an average chest circumference value, an average clothes length value, a manufacturing quantity value and a reference utilization rate value, and performing estimation on the upper garment fabric utilization value. Wherein, the amount of the jacket fabric is estimated
Figure BDA0003147851750000101
Wherein
Figure BDA0003147851750000102
Is the average chest circumference value and is the average chest circumference value,
Figure BDA0003147851750000103
is the average clothes length value, and N is the number of manufactureThe quantity value, ρ, is the baseline utilization value.
In another embodiment, as shown in fig. 6-9, the estimation of the fabric usage value is performed for the under-garment. In particular, the volume data unit is configured to: extracting volume data; 1-removing and settling more than 1 order; calculating the average value of the waist, hip and trouser length; and counting the production quantity. Specifically, the reference utilization unit is configured to: extracting template data; adjusting the pick-and-place code layer as shown in fig. 7; setting panel properties, as shown in FIG. 8; setting fabric properties as shown in fig. 9; calculating discharge; and outputting the benchmark utilization rate. Specifically, the clothing material prediction model unit is configured to: obtaining the average waistline value, the hip circumference value, the trouser length value, the manufacturing quantity value and the reference utilization rate value, and performing the estimation of the lower garment fabric use value. Wherein, the predicted value of the consumption of the lower garment material
Figure BDA0003147851750000104
Wherein the content of the first and second substances,
Figure BDA0003147851750000105
is the average value of the waist circumference,
Figure BDA0003147851750000106
the average hip circumference value, H the average trouser length value, N the production quantity value, and rho the reference utilization rate value.
According to another aspect of the present invention, there is also provided a clothing material prediction calculation apparatus including: a software application, a memory for storing the software application, and a processor for executing the software application. Each program of the software application program can correspondingly execute the steps in the clothing material estimation and calculation method.
A typical combination of hardware and software could be a general purpose computer system with a computer program that, when being loaded and executed, controls the computer system such that it carries out the methods described herein.
It is worth mentioning that the prediction result is accurate and reliable by the method, the system and the equipment for predicting and calculating the clothing material; particularly, when an order of rare fabrics needs to be used, materials are prepared accordingly, so that waste can be greatly reduced; otherwise, the workshop is in need of preparing more fabric orders due to the worry of shortage and re-repair and production delay, and waste is caused. Through practical verification, the method, the system and the equipment for estimating and calculating the clothing materials are used, such as order statistical data of fig. 10 to 18; and dividing quantity intervals according to different quantities of single orders, and respectively counting the total quantity of related orders in the interval range. The column of 'quantity' is the sum of the combined baiting of a plurality of clothing orders, the column of 'actual material consumption' is the estimated value of the original empirical formula in terms of the total baiting meter, the column of 'intelligent material consumption' is the estimated value of the invention, the column of 'measured and calculated amount' is the estimated value of the original empirical formula in terms of the average single meter, and the column of 'actual amount' is the estimated value of the invention. If the traditional prior art such as an original empirical formula is used, a large deviation exists in actual use, and materials are drawn from a warehouse according to the large deviation, the quantity after actual cutting is often insufficient, for example, the quantity is reduced by more than 5%, and then materials are supplemented; or the actual cutting is carried out much more, which often exceeds 10% of margin, and then a large amount of library is returned. The garment material estimation calculation method, the system and the equipment of the invention pass through parameters such as volume data and the like, can estimate the fabric usage amount without pre-typesetting, then carry out material receiving according to a data warehouse for a preparation warehouse or a workshop, and finally, actually cut off, and can be controlled to have a slight margin (1-6% margin, generally about 3% margin).
In a particular embodiment, the fabric door width is preferably 1.45 meters.
It is worth mentioning that there are the following two cases in terms of acquisition of volume data.
Wherein, in case volume data is known: the acquisition mode of the volume data comprises and is not limited to manual volume measurement, three-dimensional volume measurement or photographing volume measurement; the range of the measurements covers men and women (children under 16 years and elderly over 60 years of age and people of unusual body size are not covered); the measured human body parts comprise chest circumference, waist circumference, hip circumference, clothes length, shoulder width, sleeve length, neck circumference and the like; establishing a corresponding human body database for the collected volume data; the volume order of the estimated consumption is in the category of batch and personalized customization; the customized quantity of each individual of the volume data order for estimating the fabric consumption is 1, if the quantity is more than 1, the data of more than 1 is required to be disassembled and solved through computer software; extracting the chest circumference and the clothes length of the measurement data and calculating the average value of the chest circumference and the clothes length; and counting the total number of the order making.
Wherein, in the case of unknown volume data: the unit historical volume data of a specific order is required to be listed, and the order making data volume is counted to calculate the average value of each clothing parameter.
It is worth mentioning that in the aspect of obtaining the reference utilization rate of the set style, in a specific embodiment, each sample plate is subjected to code release, then a variant rule is established on the basis of the code release to form a basic template, and finally, the layout calculation is carried out on each model in the template to finally obtain the reference utilization rate of the template; the given style comprises upper clothes such as western-style clothes, overcoat, shirt, jacket and the like; the number of the template stacking layers of the given style is 40, namely 40 specifications, and one specification is selected for each specification during material stacking calculation; the fabric width during the calculation of the reference utilization rate is set to be 73cm, and double-layer folding granny rags are adopted; the template cutting piece attribute in the calculation of the reference utilization rate is set to be rotatable or rotation forbidden. The purpose of rotation is to further save materials, and in general, the clothes are arranged in a way that the thread direction is in the X axis, the thread is directional, and the rotation represents that the clothes cut piece can rotate 180 degrees in the X axis direction. The above-mentioned state is that the fabric grain direction has no special requirement, if the fabric grain direction has directionality, the rotation is selected to be forbidden; when the standard utilization rate is calculated, each specification is placed on the same bed for material arrangement calculation; i.e. all specifications are in the same plane. And finally, obtaining the average utilization rate of the 40 specifications of the set style by a computer layout software algorithm. For example, the following tables 1 and 2 show specific examples.
Table 1: female vest utilization rate measurement and calculation
Figure BDA0003147851750000121
Table 2: measurement and calculation of utilization rate of skirt
Figure BDA0003147851750000122
Figure BDA0003147851750000131
It will be appreciated by those skilled in the art that the present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, systems and computer program products according to the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and/or block diagram block or blocks.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are given by way of example only and are not limiting of the invention. The objects of the invention have been fully and effectively accomplished. The functional and structural principles of the present invention have been shown and described in the examples, and any variations or modifications of the embodiments of the present invention may be made without departing from the principles.

Claims (20)

1. A clothing material prediction calculation method is characterized by comprising the following steps:
acquiring clothing volume data, and respectively calculating an average value of each clothing parameter of the clothing volume data to obtain the average value of each clothing parameter of the clothing volume data;
acquiring the specification and size data of a clothing template with a set style and the same or similar style, and respectively and independently discharging according to the specification and size to obtain the reference utilization rate of the clothing style; and
acquiring the total number data of the clothing production, triggering a clothing material pre-estimation calculation model, and outputting the pre-estimation fabric material consumption value.
2. The prediction calculation method of garment materials according to claim 1, wherein the garment volume data is selected from one or more of upper garment volume data and lower garment volume data; the clothing parameter data is selected from one or more of chest circumference data, clothing length data, waist circumference data, hip circumference data and trousers length data.
3. The garment material estimate calculation method as claimed in claim 1, wherein the garment material estimate calculation method further comprises the steps of:
obtaining the specification and size of a clothing template with a set style, and respectively and independently discharging according to the specification and size to obtain the average value of the utilization value of each discharging result;
obtaining other style clothes templates with the same or similar style of the set style, executing typesetting measurement and calculation, and obtaining the average value of the utilization rate of each layout result of the same or similar style clothes;
and obtaining the average value of the utilization rates, averaging again, obtaining the utilization loss value for tailoring, and obtaining the reference utilization rate of the set clothing style.
4. The garment material estimate calculation method of claim 1, wherein the garment material estimate calculation method further comprises the steps of: and acquiring the average value data of each clothing parameter of the clothing volume data, summing to obtain the clothing parameter average value sum serving as the volume data average value sum, and inputting the clothing material estimation model.
5. The garment material estimate calculation method as claimed in claim 1, wherein the garment material estimate calculation method further comprises the steps of: in the prediction calculation model of the clothing material, the value S of the fabric consumption is predictedGeneral assemblyThe total number of measurement volume data average values, the standard utilization rate of a predetermined clothing style, and the total number of clothing production items.
6. The garment material estimate calculation method as claimed in claim 1, wherein the garment material estimate calculation method further comprises the steps of: the prediction calculation model of the garment materials is triggered, the calculation of the prediction total consumption of the upper garment cutting fabric is executed, and the calculation formula is as follows:
Figure FDA0003147851740000021
wherein S isGeneral assemblyThe total consumption of the fabric is estimated for cutting the jacket,
Figure FDA0003147851740000022
the average value of the chest circumference data in the jacket volume data,
Figure FDA0003147851740000023
the average value of the coat length data in the coat volume data is shown, rho is the standard utilization rate of the coat style template, and N is the total number of coats.
7. The garment material estimate calculation method as defined in claim 6, wherein the garment material estimate calculation method further comprises the steps of: the prediction calculation model of the clothing materials is triggered, the calculation of the reference utilization rate of the coat style template is executed, and the calculation formula is as follows: ρ ═ p (ρ)123+…+ρx)/x×(100%+y);
Wherein rho is the standard utilization rate of the jacket style template, and rho1To rhoxThe average value of the utilization rate of the material discharge results after the material discharge is respectively and independently carried out on each coat style template according to the specification and the size, x is the total number of the coat style templates, and y is the cutting profit of each coatThe loss value is used.
8. The method of claim 7, wherein the wear value y for each cut of the upper garment is in the range of 1% to 6%.
9. The method of claim 7, wherein the wear value y for each cut of the upper garment is 2%.
10. The garment material estimate calculation method as claimed in claim 1, wherein the garment material estimate calculation method further comprises the steps of: the prediction calculation model of the clothing materials is triggered, the calculation of the prediction total consumption of the fabric for cutting the lower garment is executed, and the calculation formula is as follows:
Figure FDA0003147851740000024
wherein S isGeneral assemblyThe total consumption of the cut fabric for the lower garment is estimated,
Figure FDA0003147851740000025
is an average value of waist circumference data in the lower-fit volume data,
Figure FDA0003147851740000026
is the average of the pant length data in the lower garment volume data,
Figure FDA0003147851740000027
the average value of hip circumference data in the lower garment measuring volume data is shown, rho is the reference utilization rate of the lower garment style template, and N is the total number of lower garment pieces.
11. The garment material estimate calculation method as defined in claim 10, wherein the garment material estimate calculation method further comprises the steps of: the clothing material prediction calculation model is triggered to calculate the reference utilization rate of the lower clothing style template, and the calculation formula is as follows: ρ ═ p (ρ)123+…+ρx)/x×(100%+z);
Wherein rho is the reference utilization rate of the lower-dress style template, rho1To rhoxAnd (3) respectively and independently discharging the material for each lower clothing style template according to the specification and the size, and then averaging the utilization rate of the material discharging result, wherein x is the total number of the lower clothing style templates, and z is the utilization loss value of each lower clothing cutting.
12. The method of claim 11, wherein the wear value z for each cut is in the range of 1% to 6%.
13. The method of calculating a clothing material estimate as claimed in claim 12, wherein the wear value z for each cut is 2%.
14. A computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to perform the steps of the clothing material prediction calculation method of claims 1 to 13.
15. A clothing material prediction calculation apparatus, characterized by comprising:
a memory for storing a software application,
a processor for executing the software application programs, wherein each program of the software application program correspondingly executes the steps of the clothing material estimation calculation method in claims 1 to 13.
16. A clothing material prediction calculation system is characterized by comprising a volume data unit, a reference utilization rate unit and a clothing material prediction model unit, wherein the volume data unit is configured to execute the following steps: extracting volume data; performing 1-dismantling settlement on more than 1 clothing order; calculating the average value of each garment parameter data in the volume measuring data; counting the total production quantity in the order; wherein the reference utilization unit is configured to perform the steps of: extracting clothing template data; adjusting the pick-and-place code layer; setting cut piece attributes; setting fabric properties; performing a layout calculation; and outputting a reference utilization rate; wherein the clothing material prediction model unit is configured to: acquiring an average value of each garment parameter data, a production quantity value in an order and a reference utilization rate value; and performing prediction of the amount value of the garment material.
17. The system for estimating garment material according to claim 16, wherein the garment measurement data is selected from the group consisting of upper garment measurement data, and the garment parameter data is selected from the group consisting of bust data, length data;
the garment material estimation model unit executes an estimation calculation formula of the upper garment fabric consumption value, wherein the estimation calculation formula comprises the following steps:
Figure FDA0003147851740000031
wherein S isGeneral assemblyThe total consumption of the fabric is estimated for cutting the jacket,
Figure FDA0003147851740000032
the average value of the chest circumference data in the jacket volume data,
Figure FDA0003147851740000033
the average value of the coat length data in the coat volume data is shown, rho is the standard utilization rate of the coat style template, and N is the total number of coats;
wherein, the reference utilization rate unit executes a calculation formula of the reference utilization rate as follows: ρ ═ p (ρ)123+…+ρx)/x×(100%+y);
Wherein rho is the standard utilization rate of the jacket style template, and rho1To rhoxAnd (3) respectively and independently discharging the average value of the utilization rate of the discharging result for each jacket style template according to the specification and the size, wherein x is the total number of the jacket style templates, and y is the cutting utilization loss value of each jacket.
18. The system for calculating a clothing material estimate as claimed in claim 17, wherein the wear value y for each jacket cut is in a range of 1% to 6%.
19. The system for estimating garment material according to claim 16, wherein the garment measurement data is selected from the group consisting of lower garment measurement data, garment parameter data is selected from the group consisting of garment length data, waist circumference data, hip circumference data, and pant length data;
the garment material prediction model unit executes a prediction calculation formula of the material consumption value of the lower garment fabric, wherein the prediction calculation formula comprises the following steps:
Figure FDA0003147851740000041
wherein S isGeneral assemblyThe total consumption of the cut fabric for the lower garment is estimated,
Figure FDA0003147851740000042
is an average value of waist circumference data in the lower-fit volume data,
Figure FDA0003147851740000043
is the average of the pant length data in the lower garment volume data,
Figure FDA0003147851740000044
the mean value of hip circumference data in the lower garment measuring volume data is shown, rho is the reference utilization rate of the lower garment style template, and N is the total number of lower garment pieces;
wherein rho is the reference utilization rate of the lower-dress style template, rho1To rhoxAnd (3) respectively and independently discharging the material for each lower clothing style template according to the specification and the size, and then averaging the utilization rate of the material discharging result, wherein x is the total number of the lower clothing style templates, and z is the utilization loss value of each lower clothing cutting.
20. The system for calculating a garment material estimate as claimed in claim 19, wherein the wear value z for each cut is in the range of 1% to 6%.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107784078A (en) * 2017-09-27 2018-03-09 圣凯诺服饰有限公司 A kind of industrialized custom made garments body-measure data consolidation analysis method and analysis system
CN111772284A (en) * 2020-08-18 2020-10-16 海澜之家股份有限公司 Fur releasing method in garment shadow composite cutting mode
CN111815366A (en) * 2020-07-22 2020-10-23 江阴逐日信息科技有限公司 Element matching-based garment cost rapid accounting method
US20200375293A1 (en) * 2017-03-07 2020-12-03 Original, Inc. Methods and systems for customized garment and outfit design generation

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200375293A1 (en) * 2017-03-07 2020-12-03 Original, Inc. Methods and systems for customized garment and outfit design generation
CN107784078A (en) * 2017-09-27 2018-03-09 圣凯诺服饰有限公司 A kind of industrialized custom made garments body-measure data consolidation analysis method and analysis system
CN111815366A (en) * 2020-07-22 2020-10-23 江阴逐日信息科技有限公司 Element matching-based garment cost rapid accounting method
CN111772284A (en) * 2020-08-18 2020-10-16 海澜之家股份有限公司 Fur releasing method in garment shadow composite cutting mode

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘瑞洲;: "服装生产中实际用料量的快速测算方法", 广西轻工业, no. 01, pages 102 *
薛广洲, 姚晓林: "外贸针织服装面料预估计算方法", 天津工业大学学报, no. 04, pages 72 - 75 *
钟利;吴煜君;: "礼服裙摆面料用量预算研究", 上海纺织科技, no. 04, pages 8 - 10 *

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