An optimization design system for underwear knitting needles and jacquard track
By optimizing the design module and the design result output module, using the wear data and wear matching coefficient methods, the design of underwear woven needles and jacquard sheet tracks is optimized, which solves the problem of track loss of underwear woven needles and jacquard sheets, and improves the operating reliability of underwear loom.
Patent Information
- Application Number
- CN202510088830.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-21
- Publication Date
- 2025-04-22
- Estimated Expiration
- 2045-01-21
AI Technical Summary
The prior art has failed to optimize the design of underwear woven needles and jacquard sheet tracks, resulting in loss of underwear woven needles and jacquard sheet tracks, affecting the operating reliability of underwear looms.
Through the design module and the design result output module, an optimized design method for underwear woven needles and jacquard sheet tracks is adopted, including determining the wear data under different jacquard types, dividing similar target groups, determining the wear matching coefficient, and determining the secondary screening scheme.
Accurate evaluation of the wear of the underwear woven needles and jacquard sheet tracks is achieved, reducing the wear in the design plan and improving the operating reliability of the underwear loom.
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Figure CN119514245B_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of data processing, and in particular relates to an optimization design system for knitting needles and jacquard piece tracks of underwear machines. Background Art
[0002] In order to optimize the design of underwear looms, the invention patent application CN106066898A "Three-dimensional fully-fashioned sweaters and method and system for generating three-dimensional knitted paper patterns thereof" converts the improved knitted paper pattern into a knitting chart to control the automatic knitting machine to produce knitted sweaters, thereby ensuring the reliability of the automatic knitting machine in producing knitted sweaters. However, the following technical problems exist:
[0003] None of the existing technical solutions discloses how to optimize the design of underwear knitting needles and jacquard piece tracks, which makes it impossible to avoid the loss of underwear knitting needles and jacquard piece tracks on the basis of reducing the loss of underwear knitting needles and improve the operating reliability of the underwear loom.
[0004] In view of the above technical problems, the present application specifically provides an optimization design system for underwear machine knitting needles and jacquard piece tracks. Summary of the invention
[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:
[0006] According to one aspect of the present invention, a system for optimizing the design of knitting needles and jacquard piece tracks of an underwear machine is provided.
[0007] An optimization design system for underwear knitting needles and jacquard piece tracks, including a design module and a design result output module, adopts an optimization design method for underwear knitting needles and jacquard piece tracks, specifically including:
[0008] S1 determines wear data of knitting needles and jacquard piece tracks of underwear machines under different jacquard types based on the design scheme, and determines available design schemes in the design scheme using the wear data;
[0009] S2: dividing the textile targets into different similar target groups based on similarities in textile processing data of different jacquard types between textile targets of the underwear loom, and determining a common target group based on historical textile data of the textile targets in the similar target group;
[0010] S3 determines wear data of different textile targets under available design solutions based on historical textile data of textile targets in the commonly used target group, and determines wear matching coefficients of available design solutions and different commonly used target groups and secondary screening solutions by using the wear data of the textile targets;
[0011] S4 utilizes historical textile data of textile targets of different commonly used template groups, the secondary screening scheme and the wear matching coefficients of different commonly used target groups to determine the design scheme in the secondary screening scheme.
[0012] The beneficial effects of the present invention are:
[0013] By utilizing the wear data of textile targets, the wear matching coefficients between available design schemes and different commonly used target groups are determined, which enables accurate evaluation of the wear conditions of textile targets corresponding to available design schemes in different commonly used wear groups from the perspective of wear data of textile targets. This also lays the foundation for further determination of secondary screening schemes in combination with the wear matching coefficients of different commonly used target groups, thereby reducing the occurrence of wear conditions in the design schemes.
[0014] The design scheme in the secondary screening scheme is determined by utilizing the historical textile data of textile targets of different commonly used template groups, the wear matching coefficients of the secondary screening scheme and different commonly used target groups. Not only the differences in the frequency of textile processing of different commonly used template groups due to the differences in historical textile data, but also the wear conditions of the secondary screening scheme in different commonly used target groups are taken into account, thereby realizing the determination of design schemes from multiple angles and reducing the wear between the underwear machine needles and the jacquard piece tracks.
[0015] A further technical solution is that the jacquard types include large jacquard, small jacquard, single-color jacquard and multi-color jacquard.
[0016] A further technical solution is that the wear data includes the number of wear times corresponding to different historical textile processing times under the jacquard type, the proportion of wear time under different wear times, and the wear amount.
[0017] A further technical solution is that the method for determining the available design solutions in the design solution is:
[0018] Using the wear data, determining the number of times the design is worn under different jacquard types;
[0019] Determine the average number of wear times under different jacquard types according to the number of wear times under different jacquard types, and use it as the average number of wear times;
[0020] Whether the design solution is an available design solution is determined according to the average wear times.
[0021] A further technical solution is that when the average wear times corresponding to the design solution is greater than a preset times threshold, it is determined that the design solution is not an available design solution.
[0022] A further technical solution is that the method for determining the design scheme in the secondary screening scheme is:
[0023] Determining the number of textile targets of different common template groups and the number of textile processing times of different textile targets based on historical textile data of textile targets of different common template groups;
[0024] Determining frequent weight coefficients of different commonly used template groups according to the number of textiles and the number of textile processing times of different textile targets;
[0025] Based on the frequent weight coefficients and wear matching coefficients of different commonly used template groups, the scheme wear matching coefficients of different secondary screening schemes are determined, and the design scheme in the secondary screening scheme is determined using the scheme wear matching coefficients.
[0026] A further technical solution is that the wear matching coefficient of the secondary screening scheme is determined according to the sum of the products of the frequent weight coefficients of different commonly used template groups and the wear matching coefficients.
[0027] A further technical solution is that the design scheme is a secondary screening scheme with the smallest scheme wear matching coefficient.
[0028] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.
[0029] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings;
[0031] Figure 1 It is a framework diagram of the design plan;
[0032] Figure 2 It is a flow chart of an optimization design method for knitting needles and jacquard piece tracks of underwear machines;
[0033] Figure 3 is a flow chart of a method for determining available design solutions among design solutions;
[0034] Figure 4 It is a flowchart of a method for determining a commonly used target group;
[0035] Figure 5 is a flow chart of a method for determining wear matching coefficients of available design solutions and different commonly used target groups;
[0036] Figure 6 It is a flowchart of a method for determining a design solution in a secondary screening solution.
[0037] Reference numerals:
[0038] ①, jacquard piece upper track, ②, jacquard piece lower track, ③, jacquard piece. DETAILED DESCRIPTION
[0039] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.
[0040] In this application, the wear data of underwear loom needles and jacquard track under different wear targets are used to determine the design scheme, thereby reducing the wear of underwear loom needles and jacquard track and improving the operating reliability of the underwear loom.
[0041] Specifically, the design scheme provided in this application is as follows: Figure 1 As shown, ①, the upper track of the jacquard piece, ②, the lower track of the jacquard piece, ③, the jacquard piece.
[0042] The average value of the number of wear times under different jacquard types is taken as the average number of wear times, and the design scheme whose average number of wear times is less than the preset number of wear times is determined as the available design scheme.
[0043] The deviation of the weaving processing time between textile targets under different jacquard types is used to determine the similarity coefficient of the weaving time under different jacquard types, and the textile targets whose average value of the similarity coefficient of the weaving time under different jacquard types is greater than 0.7 are divided into different similar target groups.
[0044] The similar target group whose historical weaving times of the textile targets corresponding to the similar target group are greater than the preset weaving times is taken as the common target group.
[0045] Take the textile targets in the commonly used target group as matching targets, and determine the average wear amount of different matching targets under the available design schemes based on the wear data of different matching targets under the available design schemes. Based on the average wear amount under the available design schemes, determine the wear-normal targets among the matching targets. Determine the wear matching coefficient between the available design schemes and the commonly used target group by the proportion of the number of wear-normal targets in the matching targets. When the average value of the wear matching coefficients between the available design schemes and different commonly used target groups is greater than 0.2, it is determined that the available design scheme does not belong to the secondary screening scheme.
[0046] The preset weight coefficients corresponding to different textile targets are determined according to the number of textile processing times of different textile targets, and the frequent weight coefficient of the abnormal wear target group is determined according to the sum of the preset weight coefficients corresponding to different textile targets in the abnormal wear target group. Based on the frequent weight coefficients and wear matching coefficients of different commonly used template groups, the scheme wear matching coefficients of different secondary screening schemes are determined, and the secondary screening scheme with the smallest scheme wear matching coefficient is used as the design scheme. Example
[0047] To solve the above problems, according to one aspect of the present invention, Figure 2 As shown, a first aspect is provided. The present invention proposes an optimization design system for underwear machine knitting needles and jacquard piece tracks, including a design module, a design result output module, and an optimization design method for underwear machine knitting needles and jacquard piece tracks, specifically including:
[0048] S1 determines wear data of knitting needles and jacquard piece tracks of underwear machines under different jacquard types based on the design scheme, and determines available design schemes in the design scheme using the wear data;
[0049] Furthermore, the design module is responsible for determining the design solution;
[0050] Furthermore, the design result output module is responsible for outputting the design result.
[0051] Furthermore, the jacquard types include large jacquard, small jacquard, single-color jacquard and multi-color jacquard.
[0052] Specifically, the wear data includes the number of wear times corresponding to different historical textile processing times under the jacquard type, the proportion of wear time under different wear times, and the wear amount.
[0053] It should be noted that if Figure 3 As shown, the method for determining the available design solutions in the design solution is:
[0054] Using the wear data, determining the number of times the design is worn under different jacquard types;
[0055] Determine the average number of wear times under different jacquard types according to the number of wear times under different jacquard types, and use it as the average number of wear times;
[0056] Whether the design solution is an available design solution is determined according to the average wear times.
[0057] Furthermore, when the average wear times corresponding to the design scheme is greater than a preset times threshold, it is determined that the design scheme is not an available design scheme.
[0058] Optionally, the method for determining the available design solutions in the design solutions is:
[0059] Using the wear data, determining the number of times the design is worn under different jacquard types;
[0060] According to the number of wears under different jacquard types, the jacquard type with a number of wears greater than a preset number of wear thresholds is determined, and the jacquard type is used as the wear deviation type;
[0061] Whether the design solution is an available design solution is determined by the number of the wear deviation types.
[0062] Further, when the number of the wear deviation types is greater than the preset number of deviation types, it is determined that the design scheme does not belong to the available design scheme.
[0063] Optionally, the method for determining the available design solutions in the design solutions is:
[0064] S11, using the wear data, determining the number of wears of the design under different jacquard types;
[0065] S12 determines the wear deviation coefficients at different wear times based on the proportion of the wear time at different wear times, the wear amounts of the underwear machine knitting needles and the jacquard track, and determines the wear abnormality coefficients at different jacquard types by using the wear times at different jacquard types and the wear deviation coefficients;
[0066] S13 determines a comprehensive abnormality coefficient by averaging the wear abnormality coefficients under different jacquard types, and determines whether the design scheme is an available design scheme according to the comprehensive abnormality coefficient.
[0067] Furthermore, the wear abnormality coefficient is determined according to the product of the proportion of the wear times to the simulated operation times under the jacquard type and the average value of the wear deviation coefficients under different wear times.
[0068] Specifically, when the comprehensive abnormality coefficient is greater than a preset abnormality coefficient threshold, it is determined that the design scheme is not an available design scheme.
[0069] Optionally, the above step S11 includes the following contents:
[0070] S111 uses the wear data to determine the wear times of the design scheme under different jacquard types. When the number of jacquard types with the wear times is less than the preset number of types, the process proceeds to step S112. When the number of jacquard types with the wear times is not less than the preset number of types, the process proceeds to step S113.
[0071] S112: When the number of wear times under different jacquard types is less than the limit value of wear times, the design scheme is determined to be an available design scheme; when there is a jacquard type whose number of wear times is not less than the limit value of wear times, the process proceeds to step S113;
[0072] S113 regards the jacquard type whose wear times are not less than the wear times limit value as the wear abnormality type. When the number of the wear abnormality types is greater than the preset number of types, it is determined that the design scheme does not belong to the available design scheme. When the number of the wear abnormality types is not greater than the preset number of types, it goes to step S12.
[0073] Optionally, the above step S12 includes the following contents:
[0074] S121 determines the wear deviation coefficients at different wear times based on the proportion of the wear time at different wear times, the wear amount of the underwear machine knitting needle and the jacquard piece track, and when there is no wear time with a wear deviation coefficient greater than a preset deviation coefficient threshold, proceeds to step S122; when there is a wear time with a wear deviation coefficient greater than the preset deviation coefficient threshold, proceeds to step S123;
[0075] S122 obtains the number of wear times under different jacquard types. When the sum of the number of wear times under different jacquard types is less than the preset threshold of the number of wear times, it is determined that the design scheme belongs to the available design scheme. When the sum of the number of wear times under different jacquard types is not less than the preset threshold of the number of wear times, the process proceeds to step S123.
[0076] S123: when the average value of the wear deviation coefficients of different wear times is greater than the preset deviation coefficient threshold, it is determined that the design scheme does not belong to the available design scheme; when the average value of the wear deviation coefficients of different wear times is not greater than the preset deviation coefficient threshold, the process proceeds to step S124;
[0077] S124 determines the wear abnormality coefficient under different jacquard types by using the wear times and the wear deviation coefficient under different jacquard types. When there is a jacquard type whose wear abnormality coefficient does not meet the requirements, it is determined that the design scheme does not belong to the available design scheme. When there is no jacquard type whose wear abnormality coefficient does not meet the requirements, it goes to step S13.
[0078] S2: dividing the textile targets into different similar target groups based on similarities in textile processing data of different jacquard types between textile targets of the underwear loom, and determining a common target group based on historical textile data of the textile targets in the similar target group;
[0079] Furthermore, the similarity of the textile processing data includes deviation durations of textile processing durations between textile targets under different jacquard types.
[0080] It should be noted that the textile targets are divided into different similar target groups, specifically including:
[0081] Determine the similarity coefficient of weaving time under different jacquard types by using the deviation time of weaving processing time between textile targets under different jacquard types;
[0082] The similarity coefficient average value is determined based on the average values of the weaving time similarity coefficients under different jacquard types, and the textile targets are divided into different similarity target groups using the similarity coefficient average value.
[0083] Furthermore, the similarity coefficient of the weaving duration under the jacquard type is determined according to a preset similarity coefficient corresponding to the deviation duration.
[0084] In another embodiment, the textile objects are divided into different similar object groups using the average value of similarity coefficients, specifically including:
[0085] The textile targets whose similarity coefficient average values are greater than a preset similarity coefficient threshold are classified into the same similar target group.
[0086] Specifically, Figure 4 As shown, the method for determining the commonly used target group is:
[0087] taking the textile target in the similar target group as a matching target;
[0088] Using historical textile data of different matching targets, determining the historical textile processing time of different matching targets;
[0089] The total textile processing time of the common target group is determined based on the historical textile processing time of different matching targets, and the total textile processing time is used to determine whether the common target group is a common target group.
[0090] Further, when the total duration of the textile processing is greater than a preset duration threshold, the common target group is determined to be a common target group.
[0091] Optionally, the method for determining the commonly used target group is:
[0092] Taking the textile targets in the similar target group as matching targets, and when the number of matching targets in the similar target group is greater than a preset number of matching targets, determining that the similar target group belongs to a common target group;
[0093] When the number of matching targets in the similar target group is not greater than the preset number of matching targets:
[0094] Determine the historical textile processing time of different matching targets by using the historical textile data of different matching targets, and when there is no matching target whose historical textile processing time is longer than the preset processing time, determine that the similar target group does not belong to the common target group;
[0095] When there is a matching target with a historical textile processing time longer than the preset processing time:
[0096] Determining the total textile processing time of the common target group based on the historical textile processing time of different matching targets, and determining the common target group as a common target group when the total textile processing time is greater than a preset processing time threshold;
[0097] When the total textile processing time is not greater than the preset processing time threshold:
[0098] The matching targets whose historical textile processing time is longer than the preset processing time are used as screening matching targets, and when the number of the screening matching targets is larger than the preset matching target number threshold, the common target group is determined to be the common target group;
[0099] When the number of the screened matching targets is not greater than the preset matching target number threshold:
[0100] Determine the historical textile frequency coefficients of different matching targets based on the historical textile processing time and the historical textile processing times of different matching targets; when the average value of the historical textile frequency coefficients of different matching targets is greater than a preset frequency coefficient threshold and the number of matching targets in the similar target group is within a preset matching target number range, determine that the common target group is a common target group;
[0101] When the average value of the historical textile frequency coefficients of different screening matching targets is not greater than the preset frequency coefficient threshold or the number of matching targets in the similar target group is not within the preset matching target number range:
[0102] The number of matching targets in the similar target group and the historical textile frequency coefficients of different matching targets are used to determine a comprehensive frequency coefficient, and the comprehensive frequency coefficient is used to determine whether the similar target group is a common target group.
[0103] S3 determines wear data of different textile targets under available design solutions based on historical textile data of textile targets in the commonly used target group, and determines wear matching coefficients of available design solutions and different commonly used target groups and secondary screening solutions by using the wear data of the textile targets;
[0104] It should be noted that if Figure 5 As shown, the method for determining the wear matching coefficient between the available design scheme and different commonly used target groups is:
[0105] Taking the textile target in the common target group as the matching target, and determining the average wear amount of different matching targets under the available design solutions according to the wear data of different matching targets under the available design solutions;
[0106] Based on the average wear amount under the available design scheme, determining a normal wear target among the matching targets;
[0107] The wear matching coefficient between the available design scheme and the common target group is determined according to the proportion of the number of the normal wear targets in the matching targets.
[0108] It can be understood that the wear matching coefficient between the available design scheme and the commonly used target group ranges from 0 to 1, wherein the larger the wear matching coefficient is, the higher the matching degree between the available design scheme and the commonly used target group is.
[0109] Specifically, the method for determining the secondary screening scheme is:
[0110] Based on the wear matching coefficients of the available design solutions and different commonly used target groups, an average value of the wear matching coefficients with different commonly used target groups is determined, and the average value is used as the matching coefficient average value;
[0111] The matching coefficient average value is used to determine whether the available design solution is a secondary screening solution.
[0112] Furthermore, when the matching coefficient average value is less than a preset matching coefficient threshold value, it is determined that the available design scheme does not belong to the secondary screening scheme.
[0113] It should also be noted that the method for determining the secondary screening scheme is:
[0114] Based on the wear matching coefficients of the available design solutions and different common target groups, determine the common target group whose wear matching coefficient does not meet the requirements, and use it as the abnormal wear target group;
[0115] Determining frequent weight coefficients of different abnormal wear target groups according to the number of textile targets in the abnormal wear target group and the number of textile processing times of different textile targets;
[0116] The sum of the frequent weight coefficients of different abnormal wear target groups is used to determine the sum of the weight coefficients, and whether the available design solution is a secondary screening solution is determined by the sum of the weight coefficients.
[0117] Furthermore, when the sum of the weight coefficients is less than a preset weight coefficient threshold, the available design scheme is determined to be a secondary screening scheme.
[0118] Optionally, the method for determining the secondary screening scheme is:
[0119] Determine the average value of the wear matching coefficients between the available design schemes and different commonly used target groups based on the wear matching coefficients between the available design schemes and different commonly used target groups; when the average value of the wear matching coefficients between the available design schemes and different commonly used target groups is greater than a preset wear matching coefficient threshold, determine that the available design scheme does not belong to the secondary screening scheme;
[0120] When the average value of the wear matching coefficients of the available design solutions and different commonly used target groups is not greater than the preset wear coefficient threshold:
[0121] Based on the wear matching coefficients between the available design scheme and different common target groups, when it is determined that there is no common target group whose wear matching coefficient does not meet the requirements, the available design scheme is determined to be a secondary screening scheme;
[0122] When there is a common target group whose wear matching coefficient does not meet the requirements: the common target group whose wear matching coefficient does not meet the requirements is taken as an abnormal wear target group, and when the number of the abnormal wear target groups does not meet the requirements, it is determined that the available design scheme does not belong to the secondary screening scheme;
[0123] When the number of the abnormal wear target group meets the requirement:
[0124] Determining the total number of textile targets of different abnormal wear target groups according to the number of textile targets of the abnormal wear target group, and when the total number of textile targets of different abnormal wear target groups does not meet the requirement, determining that the available design scheme does not belong to the secondary screening scheme;
[0125] When the total number of textile targets of different abnormal wear target groups meets the requirement: determining the total number of textile processing times of textile targets corresponding to different abnormal wear target groups according to the number of textile targets of the abnormal wear target groups and the number of textile processing times of different textile targets, and when the total number of textile processing times does not meet the requirement, determining that the available design scheme does not belong to the secondary screening scheme;
[0126] When the total number of textile processing meets the requirements: according to the number of textile targets in the abnormal wear target group and the number of textile processing of different textile targets, the frequent weight coefficients of different abnormal wear target groups are determined, and the sum of the frequent weight coefficients of different abnormal wear target groups is used to determine the sum of weight coefficients, and the sum of weight coefficients is used to determine whether the available design scheme is a secondary screening scheme.
[0127] S4 utilizes historical textile data of textile targets of different commonly used template groups, the secondary screening scheme and the wear matching coefficients of different commonly used target groups to determine the design scheme in the secondary screening scheme.
[0128] Specifically, the method for determining the frequent weight coefficient of the abnormal wear target group is:
[0129] Determining preset weight coefficients corresponding to different textile targets according to the number of textile processing times of different textile targets;
[0130] The frequent weight coefficient of the abnormal wear target group is determined according to the sum of the preset weight coefficients corresponding to different textile targets in the abnormal wear target group.
[0131] Specifically, Figure 6 As shown, the method for determining the design scheme in the secondary screening scheme is:
[0132] Determining the number of textile targets of different common template groups and the number of textile processing times of different textile targets based on historical textile data of textile targets of different common template groups;
[0133] Determining frequent weight coefficients of different commonly used template groups according to the number of textiles and the number of textile processing times of different textile targets;
[0134] Based on the frequent weight coefficients and wear matching coefficients of different commonly used template groups, the scheme wear matching coefficients of different secondary screening schemes are determined, and the design scheme in the secondary screening scheme is determined using the scheme wear matching coefficients.
[0135] Furthermore, the solution wear matching coefficient of the secondary screening solution is determined according to the sum of the products of the frequent weight coefficients of different commonly used template groups and the wear matching coefficients.
[0136] It should be noted that the design scheme is a secondary screening scheme with the smallest wear matching coefficient.
[0137] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.
[0138] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0139] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.
Claims
1. An optimization design system for underwear knitting needles and jacquard piece tracks, including a design module and a design result output module, and an optimization design method for underwear knitting needles and jacquard piece tracks, specifically including: Based on the design scheme, the wear data of the underwear machine needle and the jacquard piece track under different jacquard types are determined, and the available design schemes in the design scheme are determined by using the wear data; Based on similarities in textile processing data of different jacquard types between textile targets of underwear looms, the textile targets are divided into different similar target groups, and a common target group is determined based on historical textile data of the textile targets in the similar target groups; Based on the historical textile data of the textile targets in the common target group, the wear data of different textile targets under the available design schemes are determined, and the wear matching coefficients of the available design schemes and different common target groups and the secondary screening schemes are determined by using the wear data of the textile targets; Determine the design scheme in the secondary screening scheme by using historical textile data of textile targets of different common template groups, the secondary screening scheme and the wear matching coefficients of different common target groups; The method for determining the wear matching coefficient of the available design scheme and different commonly used target groups is: Taking the textile target in the common target group as the matching target, and determining the average wear amount of different matching targets under the available design solutions according to the wear data of different matching targets under the available design solutions; Based on the average wear amount under the available design scheme, determining a normal wear target among the matching targets; Determine the wear matching coefficient between the available design scheme and the common target group by the proportion of the number of the normal wear targets in the matching targets; The method for determining the design scheme in the secondary screening scheme is: Determining the number of textile targets of different common template groups and the number of textile processing times of different textile targets based on historical textile data of textile targets of different common template groups; Determining frequent weight coefficients of different commonly used template groups according to the number of textiles and the number of textile processing times of different textile targets; Based on the frequent weight coefficients and wear matching coefficients of different commonly used template groups, the scheme wear matching coefficients of different secondary screening schemes are determined, and the design scheme in the secondary screening scheme is determined using the scheme wear matching coefficients.
2. The optimization design system for underwear knitting needles and jacquard piece tracks according to claim 1, characterized in that: The jacquard types include large jacquard, small jacquard, single-color jacquard and multi-color jacquard.
3. The optimization design system for underwear knitting needles and jacquard piece tracks according to claim 1, characterized in that: The wear data includes the number of wear times corresponding to different historical textile processing times under the jacquard type, the proportion of wear time under different wear times, and the wear amount.
4. The optimization design system for underwear knitting needles and jacquard piece tracks according to claim 1, characterized in that: The method for determining the available design solutions in the design solutions is: Using the wear data, determining the number of times the design is worn under different jacquard types; Determine the average number of wear times under different jacquard types according to the number of wear times under different jacquard types, and use it as the average number of wear times; Whether the design solution is an available design solution is determined according to the average wear times.
5. The optimization design system for underwear knitting needles and jacquard piece tracks according to claim 4, characterized in that: When the average wear times corresponding to the design scheme is greater than a preset times threshold, it is determined that the design scheme is not an available design scheme.
6. The optimization design system for underwear knitting needles and jacquard piece tracks according to claim 1, characterized in that: The similarities of the textile processing data include deviation durations of textile processing durations under different jacquard types between textile targets.
7. The optimization design system for underwear knitting needles and jacquard piece tracks according to claim 1, characterized in that: The textile targets are divided into different similar target groups, specifically including: Determine the similarity coefficient of weaving time under different jacquard types by using the deviation time of weaving processing time between textile targets under different jacquard types; The similarity coefficient average value is determined based on the average values of the weaving time similarity coefficients under different jacquard types, and the textile targets are divided into different similarity target groups using the similarity coefficient average value.
8. The optimization design system for underwear knitting needles and jacquard piece tracks according to claim 1, characterized in that: The solution wear matching coefficient of the secondary screening solution is determined according to the sum of the products of the frequent weight coefficients of different commonly used template groups and the wear matching coefficients.
9. The optimization design system for underwear knitting needles and jacquard piece tracks according to claim 1, characterized in that: The design scheme is a secondary screening scheme with the smallest scheme wear matching coefficient.
Citation Information
Patent Citations
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