CN116341856A - Bag making machine configuration design method based on retrieval and configuration sequence ordering - Google Patents

Bag making machine configuration design method based on retrieval and configuration sequence ordering Download PDF

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CN116341856A
CN116341856A CN202310318213.8A CN202310318213A CN116341856A CN 116341856 A CN116341856 A CN 116341856A CN 202310318213 A CN202310318213 A CN 202310318213A CN 116341856 A CN116341856 A CN 116341856A
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information
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packaging bag
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孙毅
王浩
付洪标
叶伟伟
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Zhejiang University of Technology ZJUT
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Abstract

The invention discloses a bag making machine configuration design method based on search and configuration sequence ordering. Firstly, carrying out module division on a bag making machine, and establishing a module information base; secondly, establishing a packaging bag product order example library according to a module dividing result, order information of historical packaging bag products and process parameters; then, establishing a mathematical model according to module replacement time and parameter configuration time factors and setting performance indexes and constraints; and finally, retrieving order information of the new packaging bag and the configuration scheme of the current bag making machine, and if information is missing, retrieving a similar scheme to obtain module information, and combining the order information and the module information to obtain process parameter information of the new packaging bag. Initializing a population according to order information, obtaining an initial configuration sequence scheme solution set, searching an order instance library to obtain performance indexes, calculating a mathematical model by using a wolf optimization algorithm, and screening the solution set to obtain an optimal configuration sequence of the method. The invention reduces the complexity of configuration design and the duty ratio of bag making machine production, and improves the efficiency of configuration design.

Description

Bag making machine configuration design method based on retrieval and configuration sequence ordering
Technical Field
The invention belongs to the technical field of product configuration design, and particularly relates to a bag making machine configuration design method based on retrieval and configuration sequence ordering.
Background
In the flexible packaging production industry, bag making is the last process, namely the process of producing semi-finished products on a printing assembly line into packaging bags. The bag making machine is used as key equipment for producing plastic packaging bags, and the process for finishing packaging bag finished products comprises the following steps: unreeling raw materials, cutting raw materials, folding raw materials, longitudinally heat-sealing, transversely heat-sealing, punching, cutting and the like. In actual production, the production of multiple varieties and small batches of packaging bags needs to frequently change equipment module assemblies such as longitudinal heat sealing, transverse heat sealing, punching, cutting and the like, and process parameters of the whole process are adjusted, so that a large amount of redundant useless materials, manpower, time and other losses are generated, the running efficiency of equipment is reduced, the enterprise benefit is damaged, and in actual production, the time loss of module assembly replacement and debugging occupies a larger time proportion used in actual production.
The configuration design of the bag making machine is based on the modularized design, and the bag making machine module is reasonably screened and combined according to specific configuration rules and conditions under the condition of meeting customer demands and constraint conditions by combining the existing modules of enterprises, so that the configuration scheme of the bag making machine meeting the customer personalized customization demands is rapidly formed, and the personalized production of products with low cost, high efficiency and short period is realized. In the configuration design of the bag making machine, the configuration method for obtaining the modularized configuration scheme of the bag making machine only through knowledge reasoning based on examples can not meet the actual production requirement of the bag making machine, the bag making machine can carry out the configuration design of process parameters according to the packaging bags of different varieties and small batches of actual production working conditions, and a proper bag making machine is selected to carry out the quick replacement of module assemblies according to the working conditions of the field bag making machine, so that flexible production is realized.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a bag making machine configuration design method based on retrieval and configuration sequence sequencing, which realizes rapid design of multi-variety packaging bag making technology through a packaging bag product order example library, performs configuration design of configuration sequence sequencing according to the packaging bag making technology, reduces module assembly replacement time, improves production efficiency and reduces the production duty ratio of the bag making machine.
According to a first aspect of embodiments of the present application, there is provided a method for designing a configuration of a bag making machine based on search and configuration sequence ordering, including:
s1, carrying out module division on a bag making machine, and forming a module information base according to a module division result;
s2, acquiring order information of the historical packaging bag products, and establishing a packaging bag product order example library according to the module information library, the order information of the historical packaging bag products and corresponding process parameters;
s3, establishing a bag making time-consuming model for configuration design according to the replacement time and the parameter configuration time of the bag making machine module, and setting performance indexes and constraint conditions;
s4, obtaining order information, module information and process parameter information of the packaging bags to be put into production and the packaging bags already in production through the packaging bag product order example library, solving the bag making time-consuming model by using a gray wolf optimizing algorithm according to the order information, the module information and the process parameter information and the current bag making machine configuration scheme, obtaining a configuration sequence solution set, searching the packaging bag product order example library to obtain performance indexes, and screening the configuration sequence solution set by utilizing the performance indexes to obtain a bag making machine configuration result.
Further, the step S1 includes:
s11, carrying out module division on the bag making machine according to actual production conditions and the structure of the bag making machine, wherein the modules comprise an unreeling module, a slitting module, a folding module, a longitudinal heat sealing module, a transverse heat sealing module, a punching module and a cutting module which are connected in sequence;
s12, respectively establishing sub-information libraries of different modules according to a module dividing scheme, wherein the information in each sub-information library comprises the serial numbers, names, models and general parts of the modules, and the structural relations between the general parts and other modules and between the general parts and a bag making machine, and forming corresponding module data feature vectors, so as to form a module information library;
the module dividing scheme is as follows: dividing the longitudinal heat sealing module, the transverse heat sealing module, the punching module and the cutting module into replaceable modules needing module configuration design and parameter configuration design, and dividing the cutting module into non-replaceable modules needing parameter configuration design.
Further, the step S2 includes:
identifying and extracting characteristics of each packaging bag order data according to the order information of the historical packaging bag products and processing requirements, so as to form corresponding requirement characteristic vectors;
obtaining corresponding product technological parameter information according to the demand characteristic vector of each packaging bag order data, thereby forming a technological parameter characteristic vector;
and obtaining all corresponding module information according to a module list correspondingly configured and designed by each packaging bag order, and searching the module information base to form corresponding module feature vectors, so that a packaging bag product order example base is formed according to the demand feature vectors, the process parameter feature vectors and the module feature vectors of each packaging bag order.
Further, the package product order instance library is dynamically updated as new orders enter:
decomposing the information of the new order, and searching in the packaging bag product order example library according to the decomposed order information to obtain a module corresponding to the order information;
obtaining corresponding module information through the module information base according to the module corresponding to the order information;
and calculating to obtain product technological parameter information of the new order by combining the order information and the module information, thereby completing supplement processing on the packaging bag product order example library.
Further, in the step S3, the bag making time-consuming model is as follows:
Figure BDA0004150809530000031
wherein F represents the total time consumed, e represents the total number of orders, i represents the ith order, A i Indicating that the ith order installation configuration scheme consumes time, B i Representing the time spent by the ith order debug configuration scheme, μ represents the individual fitness of the wolf, where,
ith order installation configuration scheme time consuming
A i ＝ω 1 ·S 1 +ω 2 ·S 2 +ω 3 ·S 3 +ω 4 ·S 4
Wherein S is 1 Time, omega, is consumed for installation of the longitudinal heat seal module 1 Installing a time consuming weight for the longitudinal heat seal module; s is S 2 Time, omega for transverse heat seal module installation 2 Time-consuming weights are installed for the transverse heat-seal modules; s is S 3 Time, ω, is consumed for installation of the perforation module 3 Installing a time consuming weight for the perforation module; s is S 4 Time, ω, is consumed for installation of the cutting module 4 Installing a time consuming weight for the cutoff module;
Figure BDA0004150809530000032
wherein i is E [1,5 ]]；i∈N * The method comprises the steps of carrying out a first treatment on the surface of the n and m represent module numbers to be disassembled or assembled; x isThe number of modules n; y is the number of modules m; s is S ni 、S mi The time required for disassembly or assembly is represented, and the time is obtained through a packaging bag product order example library;
the constraint conditions are as follows:
ω 1 +ω 2 +ω 3 +ω 4 ＝1
Figure BDA0004150809530000033
time consuming ith order debug configuration scheme
Figure BDA0004150809530000034
Wherein T is 1 Time consuming, omega, configuration for slitting parameters 5 Configuring time-consuming weights for the slitting parameters; t (T) 2 Time consuming, ω, configuration for longitudinal heat seal parameters 6 Configuring time-consuming weights for the longitudinal heat-seal parameters; t (T) 3 Time consuming, ω, configuration for transverse heat seal parameters 7 Configuring time-consuming weights for the transverse heat-seal parameters; t (T) 4 Time consuming, ω, configuration for puncturing parameters 8 Configuring time-consuming weights for the puncturing parameters; t (T) 5 Time consuming, ω, configuration for trimming parameters 9 Configuring time-consuming weights for the cropping parameters;
Figure BDA0004150809530000041
wherein i is E [1,5 ]]；i∈N * 。
Figure BDA0004150809530000042
Configuring average consumed time for parameters of the splitting module to be configured; />
Figure BDA0004150809530000043
Configuring average consumed time for parameters of the longitudinal heat sealing module to be configured; />
Figure BDA0004150809530000044
Configuring average consumed time for parameters of the transverse heat sealing module to be configured; />
Figure BDA0004150809530000045
Configuring average consumed time for parameters of a punching module to be configured; />
Figure BDA0004150809530000046
Configuring average consumed time for parameters of a cutting module to be configured;
Figure BDA0004150809530000047
Figure BDA0004150809530000048
and->
Figure BDA0004150809530000049
Obtaining a packaging bag product order example library; the constraint conditions are as follows:
ω 5 +ω 6 +ω 7 +ω 8 +ω 9 ＝1
Figure BDA00041508095300000410
further, the step S4 includes:
s41, retrieving corresponding order information, module information and process parameter information in the packaging bag product order example library according to the packaging bag number to be put into production to form a first data vector;
s42, retrieving corresponding order information, module information and process parameter information from a packaging bag product order example library according to the packaging bag number which is produced to form a second data vector;
s43, initializing wolf group information, generating a configuration sequence solution set according to the total number e of orders, wherein each solution represents a configuration sequence, the solution set is a wolf group, each solution is a wolf group individual, and alpha wolves, beta wolves, delta wolves and omega wolves are randomly distributed;
s44, obtaining the installation configuration scheme consumption time and the debugging configuration scheme consumption time of each order through a packaging bag product order example library, solving to obtain the fitness mu, and calculating the comprehensive consumption time; making a wolf group level system, and sequencing from low to high according to the fitness, wherein the wolves are alpha wolves, beta wolves, delta wolves and omega wolves in sequence;
s45, updating parameters of a wolf optimization algorithm according to the iteration times of the current turn, and updating the wolf group; updating the convergence factor and the coefficient vector along with the iteration times of the current round;
s46, updating the wolf group grade according to the fitness mu, and adjusting the position of the gray wolf individual according to the wolf group grade;
s47, repeating the steps S44, S45 and S46, and storing the current result after the maximum iteration number is reached.
According to a second aspect of embodiments of the present application, there is provided a bag machine configuration design apparatus based on search and configuration sequence ordering, comprising:
the dividing module is used for carrying out module division on the bag making machine and forming a module information base according to a module division result;
the library building module is used for obtaining order information of the historical packaging bag products and building a packaging bag product order example library according to the module information library, the order information of the historical packaging bag products and the corresponding process parameters;
the modeling module is used for establishing a bag making time-consuming model for configuration design according to the replacement time and the parameter configuration time of the bag making machine module, and setting performance indexes and constraint conditions;
and the solving module is used for obtaining order information, module information and process parameter information of the packaging bags to be put into production and the packaging bags already in production through the packaging bag product order example library, solving the bag making time-consuming model by using a gray wolf optimizing algorithm according to the order information, the module information and the process parameter information and the current bag making machine configuration scheme to obtain a configuration sequence solution set, searching the packaging bag product order example library to obtain performance indexes, and screening the configuration sequence solution set by using the performance indexes to obtain a configuration result of the bag making machine.
According to a third aspect of embodiments of the present application, there is provided an electronic device, including:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of the first aspect.
According to a third aspect of embodiments of the present application, there is provided a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method according to the first aspect.
The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:
as can be seen from the above embodiments, the present application proposes a bag making machine configuration design method based on searching and configuration sequence ordering, so as to reduce the production duty ratio of the bag making machine as an optimization target, solve a mathematical model of the bag making machine configuration design by means of a wolf optimization algorithm, search a packaging bag product order instance library to solve the fitness and update an iterative wolf optimization algorithm, thereby realizing the configuration design of configuration sequence ordering according to the packaging bag making process on the premise of meeting the minimum time loss, and reducing the time loss of module component replacement and debugging; the method comprises the steps of establishing a packaging bag product order example library, retrieving the packaging bag product order example library to obtain module configuration and process parameter configuration of a new product when the new product enters, and retrieving the packaging bag product order example library to obtain performance indexes in the process of sequencing and solving a configuration sequence; according to the method, a product example library is established according to a module dividing result, input packaging bag customer demand order information is converted into bag making process parameters through a method of combining similarity comparison and deep learning and is combined with modules on a bag making machine, finally, a bag making machine configuration scheme capable of producing the packaging bag is formed through combination of module components, then, cross comparison is carried out on the bag making machine configuration scheme and the bag making machine configuration scheme on a production line, and the optimal bag making machine configuration sequence is formed in consideration of changing time and parameter configuration time, so that flexible production of the bag making process is achieved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow chart of a method for designing a bag machine configuration based on search and configuration sequence ordering according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a package parameter configuration according to an embodiment of the present invention.
FIG. 3 is a flow chart of finding an optimal solution using a Grey wolf optimization algorithm according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of the initialization of wolf clusters by the wolf optimization algorithm according to one embodiment of the present invention.
FIG. 5 is a block diagram of a bag machine configuration design apparatus based on search and configuration sequence ordering in accordance with one embodiment of the present invention.
Fig. 6 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application.
The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first message may also be referred to as a second message, and similarly, a second message may also be referred to as a first message, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
The invention is described in further detail below with reference to the accompanying drawings.
As shown in FIG. 1, the invention provides a bag making machine configuration design method based on search and configuration sequence ordering, which comprises the following steps:
s1, carrying out module division on a bag making machine, and forming a module information base according to a module division result;
s2, acquiring order information of the historical packaging bag products, and establishing a packaging bag product order example library according to the module information library, the order information of the historical packaging bag products and corresponding process parameters;
s3, establishing a bag making time-consuming model for configuration design according to the replacement time and the parameter configuration time of the bag making machine module, and setting performance indexes and constraint conditions;
s4, obtaining order information, module information and process parameter information of the packaging bags to be put into production and the packaging bags already in production through the packaging bag product order example library, solving the bag making time-consuming model by using a gray wolf optimizing algorithm according to the order information, the module information and the process parameter information and the current bag making machine configuration scheme, obtaining a configuration sequence solution set, searching the packaging bag product order example library to obtain performance indexes, and screening the configuration sequence solution set by utilizing the performance indexes to obtain a bag making machine configuration result.
As can be seen from the above embodiments, the present application proposes a bag making machine configuration design method based on searching and configuration sequence ordering, so as to reduce the production duty ratio of the bag making machine as an optimization target, solve a mathematical model of the bag making machine configuration design by means of a wolf optimization algorithm, search a packaging bag product order instance library to solve the fitness and update an iterative wolf optimization algorithm, thereby realizing the configuration design of configuration sequence ordering according to the packaging bag making process on the premise of meeting the minimum time loss, and reducing the time loss of module component replacement and debugging; the method comprises the steps of establishing a packaging bag product order example library, retrieving the packaging bag product order example library to obtain module configuration and process parameter configuration of a new product when the new product enters, and retrieving the packaging bag product order example library to obtain performance indexes in the process of sequencing and solving a configuration sequence; according to the method, a product example library is established according to a module dividing result, input packaging bag customer demand order information is converted into bag making process parameters through a method of combining similarity comparison and deep learning and is combined with modules on a bag making machine, finally, a bag making machine configuration scheme capable of producing the packaging bag is formed through combination of module components, then, cross comparison is carried out on the bag making machine configuration scheme and the bag making machine configuration scheme on a production line, and the optimal bag making machine configuration sequence is formed in consideration of changing time and parameter configuration time, so that flexible production of the bag making process is achieved.
The following is a detailed description of the three-sided bag machine.
In the implementation of the step S1, the bag making machine is subjected to module division, and a module information base is formed according to a module division result;
in particular, this step may comprise the sub-steps of:
s11, carrying out module division on the bag making machine according to actual production conditions and the structure of the bag making machine, wherein the modules comprise an unreeling module, a slitting module, a folding module, a longitudinal heat sealing module, a transverse heat sealing module, a punching module and a cutting module which are connected in sequence;
s12, respectively establishing sub-information libraries of different modules according to a module dividing scheme, wherein the information in each sub-information library comprises the serial numbers, names, models and general parts of the modules, and the structural relations between the general parts and other modules and between the general parts and a bag making machine, and forming corresponding module data feature vectors, so as to form a module information library;
the module dividing scheme is as follows: dividing the longitudinal heat sealing module, the transverse heat sealing module, the punching module and the cutting module into replaceable modules needing module configuration design and parameter configuration design, and dividing the cutting module into non-replaceable modules needing parameter configuration design.
In the implementation of the step S2, order information of the historical packaging bag products is obtained, and a packaging bag product order example library is established according to the module information library, the order information of the historical packaging bag products and corresponding technological parameters;
specifically, the package product order example library is constructed by combining the customer order data, the process flow and the bill of materials of the historical package in the enterprise, and the steps can include the following substeps:
s21, identifying and extracting characteristics of each packaging bag order data according to processing requirements according to order information of historical packaging bag products, so as to form corresponding requirement characteristic vectors;
specifically, the required feature vector is determined according to the roll width, edge seal width, punching and cutting information in the historical packaging bag product order information, and taking a new product 1 as an example, the required feature vector is [11111], which indicates that the required feature vector needs to be used in a slitting module, a longitudinal heat sealing module, a transverse heat sealing module, a punching module and a cutting module.
S22, obtaining corresponding product technological parameter information according to the demand characteristic vector of each packaging bag order data, so as to form a technological parameter characteristic vector;
specifically, as shown in fig. 2, the number of finished products, the longitudinal sealing distance and the transverse sealing distance are determined by the width, the specification and the opening direction of the material roll, the slitting parameters are determined by the width of the material roll, the numbers of the transverse sealing modules and the longitudinal sealing modules are determined by the number of the finished products, the model number of the longitudinal sealing modules is determined by the longitudinal sealing width, the model number of the transverse sealing modules is determined by the transverse sealing width, the punching distance is determined by the punching position, the model number of the punching modules is determined by the punching type, the number of the punching modules is determined by the number of the punching modules, the model number of the cutting modules is determined by the type of the cutting knife, and the characteristic vector of the technological parameters is [360 7 2 168 7 4 120 18 1 120 1] by taking new product 1 as an example,
s23, obtaining all corresponding module information according to a module list correspondingly configured and designed by each packaging bag order, and searching the module information base to form corresponding module feature vectors, so that a packaging bag product order example base is formed according to the demand feature vectors, the technological parameter feature vectors and the module feature vectors of each packaging bag order data.
Specifically, taking new product 1 as an example, its module feature vector is [10 10 10 10 5 5 50 10], and the data of new product 1 in the package product order instance library is represented as [11111 360 7 2 168 7 4 120 18 1 120 1 10 10 10 10 5 5 50 10].
In this embodiment, order information, product module information and process parameter information are identified and extracted, a packaging bag product order example library is established, the order information includes product names, specifications, number of finished products, outlet directions, edge seal widths, punching specifications and the like, the module information includes longitudinal heat seal module numbers and numbers, transverse heat seal module numbers and numbers, punching module numbers and numbers, cutting module numbers and the like, and the process parameters include cutting parameters, longitudinal heat seal intervals, transverse heat seal intervals, punching intervals and the like. The module library contains module numbers and module installation time.
The embodiment of the invention takes the configuration design of a new product configuration sequence of a three-edge sealing bag making machine as an example, and the order data of the configured scheme of the bag making machine and partial data of the first three order information configuration data samples which are most similar to the order data of the configured scheme of the bag making machine are shown in the table 1.
Table 1: bag machine configured scheme and partial data of three new products
Figure BDA0004150809530000091
The package product order instance library is dynamically updated as new orders enter:
decomposing the information of the new order, and searching in the packaging bag product order example library according to the decomposed order information to obtain a module corresponding to the order information; obtaining corresponding module information through the module information base according to the module corresponding to the order information; and calculating to obtain product technological parameter information of the new order by combining the order information and the module information, thereby completing supplement processing on the packaging bag product order example library. And performing one-hot coding processing on the data sample characteristics of different types.
In the specific implementation of the step S3, a bag making time-consuming model for configuration design is established according to the influence of the change of the changing time and the assembly relation of the bag making machine module, and performance indexes and constraint conditions are set;
specifically, the bag making time-consuming model is as follows:
Figure BDA0004150809530000101
wherein F represents the total time consumed, e represents the total number of orders, i represents the ith order, A i Indicating that the ith order installation configuration scheme consumes time, B i Representing the time consumption of the ith order debugging configuration scheme, wherein the performance index is the comprehensive time consumption A i +B i Mu represents the individual fitness of the wolf, wherein,
ith order installation configuration scheme time consuming
A i ＝ω 1 ·S 1 +ω 2 ·S 2 +ω 3 ·S 3 +ω 4 ·S 4
Wherein S is 1 Time, omega, is consumed for installation of the longitudinal heat seal module 1 Installing a time consuming weight for the longitudinal heat seal module; s is S 2 Time, omega for transverse heat seal module installation 2 Time-consuming weights are installed for the transverse heat-seal modules; s is S 3 Time, ω, is consumed for installation of the perforation module 3 Installing a time consuming weight for the perforation module; s is S 4 Time, ω, is consumed for installation of the cutting module 4 Installing a time consuming weight for the cutoff module;
Figure BDA0004150809530000102
wherein i is E [1,5 ]]；i∈N * The method comprises the steps of carrying out a first treatment on the surface of the n and m represent module numbers to be disassembled or assembled; x is the number of modules n; y is the number of modules m; s is S ni 、S mi The time required for disassembly or assembly is represented, and the time is obtained through a packaging bag product order example library;
the constraint conditions are as follows:
ω 1 +ω 2 +ω 3 +ω 4 ＝1
Figure BDA0004150809530000103
time consuming ith order debug configuration scheme
Figure BDA0004150809530000104
Wherein T is 1 Time consuming, omega, configuration for slitting parameters 5 Configuring time-consuming weights for the slitting parameters; t (T) 2 Time consuming, ω, configuration for longitudinal heat seal parameters 6 Configuring time-consuming weights for the longitudinal heat-seal parameters; t (T) 3 Time consuming, ω, configuration for transverse heat seal parameters 7 Configuring time-consuming weights for the transverse heat-seal parameters; t (T) 4 Time consuming, ω, configuration for puncturing parameters 8 Configuring time-consuming weights for the puncturing parameters; t (T) 5 Time consuming, ω, configuration for trimming parameters 9 Configuring time-consuming weights for the cropping parameters;
Figure BDA0004150809530000111
wherein i is E [1,5 ]]；i∈N * 。
Figure BDA0004150809530000112
Configuring average consumed time for parameters of the splitting module to be configured; />
Figure BDA0004150809530000113
Configuring average consumed time for parameters of the longitudinal heat sealing module to be configured; />
Figure BDA0004150809530000114
Configuring average consumed time for parameters of the transverse heat sealing module to be configured; />
Figure BDA0004150809530000115
Configuring average consumed time for parameters of a punching module to be configured; />
Figure BDA0004150809530000116
Configuring average consumed time for parameters of a cutting module to be configured;
Figure BDA0004150809530000117
Figure BDA00041508095300001111
and->
Figure BDA0004150809530000118
Obtaining a packaging bag product order example library; the constraint conditions are as follows:
ω 5 +ω 6 +ω 7 +ω 8 +ω 9 ＝1
Figure BDA0004150809530000119
in the present embodiment, A is empirically set i ＝0.12·S 1 +0.12·S 2 +0.08·S 3 +0.66·S 4 ，
Figure BDA00041508095300001110
In the implementation of step S4, the order information, the module information and the process parameter information of the packaging bags to be produced and the packaging bags already being produced are obtained through the packaging bag product order example library, the time-consuming model of bag making is solved by using a wolf optimization algorithm according to the order information, the module information and the process parameter information and the current bag making machine configuration scheme, a configuration sequence solution set is obtained, the packaging bag product order example library is searched to obtain a performance index, and the configuration sequence solution set is screened by using the performance index to obtain a configuration result of the bag making machine.
Specifically, as shown in fig. 3, this step may include the sub-steps of:
s41, retrieving corresponding order information, module information and process parameter information in the packaging bag product order example library according to the packaging bag number to be put into production to form a first data vector;
s42, retrieving corresponding order information, module information and process parameter information from a packaging bag product order example library according to the packaging bag number which is produced to form a second data vector;
s43, initializing wolf group information, generating a configuration sequence solution set according to the total number e of orders, wherein each solution represents a configuration sequence, the solution set is a wolf group, each solution is a wolf group individual, and alpha wolves, beta wolves, delta wolves and omega wolves are randomly distributed;
specifically, initializing the sirius population as shown in FIG. 4, the number of solutions in the solution set being equal in value to the factorization of e, the array
For example, individual wolf 12 3 represents a sequence whose production sequence is new product 1, new product 2, new product 3, which is represented as array [ A ] 1 B 1 A 2 B 2 A 3 B 3 ]。
S44, obtaining the installation configuration scheme consumption time and the debugging configuration scheme consumption time of each order through a packaging bag product order example library, solving to obtain the fitness mu, and calculating the comprehensive consumption time; making a wolf group level system, and sequencing from low to high according to the fitness, wherein the wolves are alpha wolves, beta wolves, delta wolves and omega wolves in sequence;
s45, updating parameters of a wolf optimization algorithm according to the iteration times of the current turn, and updating the wolf group; updating the convergence factor and the coefficient vector along with the current iteration times;
s46, updating the wolf group grade according to the fitness mu, and adjusting the position of the gray wolf individual according to the wolf group grade;
s47, repeating the steps S44, S45 and S46, and storing the current result after the maximum iteration number is reached.
It should be noted that, the specific calculation process in the steps S41 to S47 is a conventional means in the wolf optimization algorithm, and will not be described herein. In this embodiment, the bag machine configuration design method based on the search and configuration sequence ordering is implemented in matlabR2022a version environment. The parameter configuration for the wolf optimization algorithm is shown in table 2.
Table 2: parameter configuration of gray wolf optimization algorithm
Parameters (parameters) Value of
Number of individual gray wolves 6
Number of iteration 100
Ranking with the integrated consumption time fmini as the target in the non-dominant solution meeting the individual targets, the corresponding configuration scheme is shown in table 3:
table 3: configuration results of configuration sequence ordering
Sequence number First priority level Second priority level Third priority level F
1 3 1 2 -142.9413
2 3 2 1 -140.3663
3 1 3 2 -125.6987
4 2 3 1 -120.6775
5 1 2 3 -104.9738
6 2 1 3 -102.5275
The configuration sequence on the bag making machine is a new order 3, a new order 1 and a new order 2, and when the bag making machine completes the bag making process of the previous order, the new order 3 is preferably configured.
Corresponding to the embodiment of the bag making machine configuration design method based on the searching and configuration sequence sorting, the application also provides an embodiment of a bag making machine configuration design device based on the searching and configuration sequence sorting.
FIG. 5 is a block diagram illustrating a bag machine configuration design apparatus based on search and configuration sequence ordering, according to an exemplary embodiment. Referring to fig. 5, the apparatus may include:
the dividing module 21 is used for carrying out module division on the bag making machine and forming a module information base according to the module division result;
a library building module 22 for building a packaging bag product order example library according to the module information library, the historical packaging bag product order information and the process parameters;
the modeling module 23 is used for establishing a bag making time-consuming model for configuration design according to the replacement time and the parameter configuration time of the bag making machine module, and setting performance indexes and constraint conditions;
and the solving module 24 is configured to obtain order information, module information and process parameter information of the packaging bags to be put into production and the packaging bags already in production from the packaging bag product order example library, solve the bag making time-consuming model by using a gray wolf optimizing algorithm according to the order information, the module information and the process parameter information and the current bag making machine configuration scheme, obtain a configuration sequence solution set, search the packaging bag product order example library to obtain a performance index, and screen the configuration sequence solution set by using the performance index to obtain a configuration result of the bag making machine.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments. The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present application. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Correspondingly, the application also provides electronic equipment, which comprises: one or more processors; a memory for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the bag machine configuration design method based on the search and configuration sequence ordering as described above. As shown in fig. 6, a hardware structure diagram of an arbitrary device with data processing capability according to the method for designing a bag making machine configuration based on searching and configuration sequence sorting according to the embodiment of the present invention is shown in fig. 6, and besides the processor, the memory and the network interface shown in fig. 6, the arbitrary device with data processing capability according to the actual function of the arbitrary device with data processing capability may also include other hardware, which is not described herein.
Accordingly, the present application also provides a computer readable storage medium having stored thereon computer instructions that when executed by a processor implement a bag machine configuration design method based on search and configuration sequence ordering as described above. The computer readable storage medium may be an internal storage unit, such as a hard disk or a memory, of any of the data processing enabled devices described in any of the previous embodiments. The computer readable storage medium may also be an external storage device, such as a plug-in hard disk, a Smart Media Card (SMC), an SD Card, a Flash memory Card (Flash Card), or the like, provided on the device. Further, the computer readable storage medium may include both internal storage units and external storage devices of any device having data processing capabilities. The computer readable storage medium is used for storing the computer program and other programs and data required by the arbitrary data processing apparatus, and may also be used for temporarily storing data that has been output or is to be output.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof.

Claims (9)

1. The bag making machine configuration design method based on the search and configuration sequence ordering is characterized by comprising the following steps:
s1, carrying out module division on a bag making machine, and forming a module information base according to a module division result;
s2, acquiring order information of the historical packaging bag products, and establishing a packaging bag product order example library according to the module information library, the order information of the historical packaging bag products and corresponding process parameters;
s3, establishing a bag making time-consuming model for configuration design according to the replacement time and the parameter configuration time of the bag making machine module, and setting performance indexes and constraint conditions;
s4, obtaining order information, module information and process parameter information of the packaging bags to be put into production and the packaging bags already in production through the packaging bag product order example library, solving the bag making time-consuming model by using a gray wolf optimizing algorithm according to the order information, the module information and the process parameter information and the current bag making machine configuration scheme, obtaining a configuration sequence solution set, searching the packaging bag product order example library to obtain performance indexes, and screening the configuration sequence solution set by utilizing the performance indexes to obtain a bag making machine configuration result.
2. The bag machine configuration design method based on the search and configuration sequence ordering according to claim 1, wherein the step S1 includes:
s11, carrying out module division on the bag making machine according to actual production conditions and the structure of the bag making machine, wherein the modules comprise an unreeling module, a slitting module, a folding module, a longitudinal heat sealing module, a transverse heat sealing module, a punching module and a cutting module which are connected in sequence;
s12, respectively establishing sub-information libraries of different modules according to a module dividing scheme, wherein the information in each sub-information library comprises the serial numbers, names, models and general parts of the modules, and the structural relations between the general parts and other modules and between the general parts and a bag making machine, and forming corresponding module data feature vectors, so as to form a module information library;
the module dividing scheme is as follows: dividing the longitudinal heat sealing module, the transverse heat sealing module, the punching module and the cutting module into replaceable modules needing module configuration design and parameter configuration design, and dividing the cutting module into non-replaceable modules needing parameter configuration design.
3. The bag machine configuration design method based on the search and configuration sequence ordering according to claim 1, wherein the step S2 includes:
identifying and extracting characteristics of each packaging bag order data according to the order information of the historical packaging bag products and processing requirements, so as to form corresponding requirement characteristic vectors;
obtaining corresponding product technological parameter information according to the demand characteristic vector of each packaging bag order data, thereby forming a technological parameter characteristic vector;
and obtaining all corresponding module information according to a module list correspondingly configured and designed by each packaging bag order, and searching the module information base to form corresponding module feature vectors, so that a packaging bag product order example base is formed according to the demand feature vectors, the process parameter feature vectors and the module feature vectors of each packaging bag order.
4. The bag machine configuration design method based on search and configuration sequence ordering of claim 1, wherein the package product order instance library is dynamically updated as new orders enter:
decomposing the information of the new order, and searching in the packaging bag product order example library according to the decomposed order information to obtain a module corresponding to the order information;
obtaining corresponding module information through the module information base according to the module corresponding to the order information;
and calculating to obtain product technological parameter information of the new order by combining the order information and the module information, thereby completing supplement processing on the packaging bag product order example library.
5. The bag machine configuration design method based on the search and configuration sequence ordering according to claim 1, wherein in the step S3, the bag making time-consuming model is as follows:
Figure FDA0004150809520000021
wherein F represents the total time consumed, e represents the total number of orders, i represents the ith order, A i Indicating that the ith order installation configuration scheme consumes time，B i Representing the time spent by the ith order debug configuration scheme, μ represents the individual fitness of the wolf, where,
ith order installation configuration scheme time consuming
A i ＝ω 1 ·S 1 +ω 2 ·S 2 +ω 3 ·S 3 +ω 4 ·S 4
Wherein S is 1 Time, omega, is consumed for installation of the longitudinal heat seal module 1 Installing a time consuming weight for the longitudinal heat seal module; s is S 2 Time, omega for transverse heat seal module installation 2 Time-consuming weights are installed for the transverse heat-seal modules; s is S 3 Time, ω, is consumed for installation of the perforation module 3 Installing a time consuming weight for the perforation module; s is S 4 Time, ω, is consumed for installation of the cutting module 4 Installing a time consuming weight for the cutoff module;
Figure FDA0004150809520000022
wherein i is E [1,5 ]]；i∈N * The method comprises the steps of carrying out a first treatment on the surface of the n and m represent module numbers to be disassembled or assembled; x is the number of modules n; y is the number of modules m; s is S ni 、S mi The time required for disassembly or assembly is represented, and the time is obtained through a packaging bag product order example library;
the constraint conditions are as follows:
ω 1 +ω 2 +ω 3 +ω 4 ＝1
Figure FDA0004150809520000023
time consuming ith order debug configuration scheme
Figure FDA0004150809520000031
Wherein T is 1 Configuring cancellation for slitting parametersTime, omega 5 Configuring time-consuming weights for the slitting parameters; t (T) 2 Time consuming, ω, configuration for longitudinal heat seal parameters 6 Configuring time-consuming weights for the longitudinal heat-seal parameters; t (T) 3 Time consuming, ω, configuration for transverse heat seal parameters 7 Configuring time-consuming weights for the transverse heat-seal parameters; t (T) 4 Time consuming, ω, configuration for puncturing parameters 8 Configuring time-consuming weights for the puncturing parameters; t (T) 5 Time consuming, ω, configuration for trimming parameters 9 Configuring time-consuming weights for the cropping parameters;
Figure FDA0004150809520000032
wherein i is E [1,5 ]]；i∈N * 。
Figure FDA0004150809520000033
Configuring average consumed time for parameters of the splitting module to be configured; />
Figure FDA0004150809520000034
Configuring average consumed time for parameters of the longitudinal heat sealing module to be configured; />
Figure FDA0004150809520000035
Configuring average consumed time for parameters of the transverse heat sealing module to be configured; />
Figure FDA0004150809520000036
Configuring average consumed time for parameters of a punching module to be configured; />
Figure FDA0004150809520000037
Configuring average consumed time for parameters of a cutting module to be configured; />
Figure FDA0004150809520000038
Figure FDA0004150809520000039
And->
Figure FDA00041508095200000310
Obtaining a packaging bag product order example library; the constraint conditions are as follows:
ω 5 +ω 6 +ω 7 +ω 8 +ω 9 ＝1
Figure FDA00041508095200000311
6. the bag machine configuration design method based on the search and configuration sequence ordering according to claim 1, wherein the step S4 includes:
s41, retrieving corresponding order information, module information and process parameter information in the packaging bag product order example library according to the packaging bag number to be put into production to form a first data vector;
s42, retrieving corresponding order information, module information and process parameter information from a packaging bag product order example library according to the packaging bag number which is produced to form a second data vector;
s43, initializing wolf group information, generating a configuration sequence solution set according to the total number e of orders, wherein each solution represents a configuration sequence, the solution set is a wolf group, each solution is a wolf group individual, and alpha wolves, beta wolves, delta wolves and omega wolves are randomly distributed;
s44, obtaining the installation configuration scheme consumption time and the debugging configuration scheme consumption time of each order through a packaging bag product order example library, solving to obtain the fitness mu, and calculating the comprehensive consumption time; making a wolf group level system, and sequencing from low to high according to the fitness, wherein the wolves are alpha wolves, beta wolves, delta wolves and omega wolves in sequence;
s45, updating parameters of a wolf optimization algorithm according to the iteration times of the current turn, and updating the wolf group; updating the convergence factor and the coefficient vector along with the iteration times of the current round;
s46, updating the wolf group grade according to the fitness mu, and adjusting the position of the gray wolf individual according to the wolf group grade;
s47, repeating the steps S44, S45 and S46, and storing the current result after the maximum iteration number is reached.
7. A bag machine configuration design device based on search and configuration sequence ordering, comprising the following steps:
the dividing module is used for carrying out module division on the bag making machine and forming a module information base according to a module division result;
the library building module is used for obtaining order information of the historical packaging bag products and building a packaging bag product order example library according to the module information library, the order information of the historical packaging bag products and the corresponding process parameters;
the modeling module is used for establishing a bag making time-consuming model for configuration design according to the replacement time and the parameter configuration time of the bag making machine module, and setting performance indexes and constraint conditions;
and the solving module is used for obtaining order information, module information and process parameter information of the packaging bags to be put into production and the packaging bags already in production through the packaging bag product order example library, solving the bag making time-consuming model by using a gray wolf optimizing algorithm according to the order information, the module information and the process parameter information and the current bag making machine configuration scheme to obtain a configuration sequence solution set, searching the packaging bag product order example library to obtain performance indexes, and screening the configuration sequence solution set by using the performance indexes to obtain a configuration result of the bag making machine.
8. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-6.
9. A computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method according to any of claims 1-6.
CN202310318213.8A 2023-03-23 2023-03-23 Bag making machine configuration design method based on retrieval and configuration sequence ordering Pending CN116341856A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117148783A (en) * 2023-10-30 2023-12-01 南通百盛精密机械有限责任公司 Automatic correction method for cutter parameters of numerical control machine tool

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117148783A (en) * 2023-10-30 2023-12-01 南通百盛精密机械有限责任公司 Automatic correction method for cutter parameters of numerical control machine tool
CN117148783B (en) * 2023-10-30 2023-12-26 南通百盛精密机械有限责任公司 Automatic correction method for cutter parameters of numerical control machine tool

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