Modeling method and device for time sequence production line and terminal equipment
By constructing basic models, discrete models and hybrid models, the problem of single models being unable to truly simulate the topology of timing production line, difficulty in material tracking, and inability to reflect the production rhythm is solved, and the accurate simulation and optimization of timing production line models are achieved.
Patent Information
- Application Number
- CN202411651277.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-19
- Publication Date
- 2025-02-18
AI Technical Summary
In existing timing production simulations, single models cannot truly simulate the topological structure of the timing production line, difficult to achieve material tracking, and cannot accurately reflect the rhythm of production.
A modeling method for timing production lines is proposed. By constructing basic models, discrete models and mixed models, we can describe the basic units of timing production lines, equal beat production lines and variable beat production lines to achieve timing production Accurate simulation of line topology, material tracking and production rhythm.
This method can accurately simulate the topological structure of the timing production line, realize material tracking, and accurately record the production rhythm, improving the accuracy of the timing production line model.
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Figure CN119472554A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of sequential production simulation, and in particular to a modeling method and device for a sequential production line, and terminal equipment. Background Art
[0002] Sequential production line refers to an automated production line with a certain production rhythm and sequential processing. This type of production line has the characteristics of multiple processing equipment, difficult parameter collection, high degree of automation, strong production rhythm, diverse process types, and high flexibility requirements for process routes.
[0003] Sequential production simulation is a method used to simulate and optimize the production process. It simulates the actual production process by establishing a virtual production environment, and performs multiple simulations and optimizations based on different parameters and constraints to find the best production solution. Its main steps include establishing a production model, determining optimization goals, setting parameters and constraints, and performing simulation and optimization.
[0004] The existing production model building step of sequential production simulation is to abstract the production line equipment into individual models, use the individual models to implement production line simulation, and record processing data. This method has at least the following problems:
[0005] (1) The monomer model cannot truly simulate the topological structure of the sequential production line. The complete sequential production line is the carrier of the product process route, which is composed of functional units such as material preparation, transportation and processing. The monomer model is a digital model of the process equipment. The sequential production line described by the monomer model only reflects the processing functional unit of the sequential production line, and discards the material preparation and transportation functions of the sequential production line. Therefore, the sequential production line constructed with the monomer model fails to accurately simulate the complete topology of the production line.
[0006] (2) The single model is not convenient for material tracking of sequential production lines. The production and processing of sequential production lines have a rhythm, and the material flow is orderly. Tracking materials according to the process rhythm is the main factor in measuring the sequential production line model. The single model describes the process processing equipment, separates the sequential production line into "information islands", breaks the continuity of the production line, and cuts off the order of logistics. Therefore, the single model can only independently record the processing data of the equipment in this process, and does not reflect the logistics continuity of the sequential production line, making it difficult to track materials on the sequential production line.
[0007] (3) Indiscriminate continuous recording cannot reflect the rhythm of production. The rhythm is a characteristic of the sequential production line. There are the production rhythm of a single device and the production rhythm of the production line. The monomer model is a digital model of the process equipment, which records the production rhythm of the process equipment. There is a lack of rhythm synchronization between monomer models. The indiscriminate continuous recording of the monomer model does not record the coordinated rhythm between the monomer models and cannot reflect the production rhythm of the production line. Summary of the invention
[0008] The present application aims to solve the problem of poor accuracy of the production model establishment method in the existing sequential production simulation process, and proposes a modeling method and device and terminal equipment for a sequential production line.
[0009] The technical solution adopted by this application to solve the above technical problems is:
[0010] In a first aspect, the present application provides a modeling method for a sequential production line, the method comprising:
[0011] According to the characteristics of the sequential production line, the basic model of each processing procedure is constructed, and multiple processing procedures constitute a sequential production line;
[0012] Based on the basic model, a discrete model of a discrete sequential production line is constructed, wherein the discrete model includes a basic model, a connection relationship, and a production step corresponding to each processing step in the discrete sequential production line, and each processing step in the discrete sequential production line has the same processing beat;
[0013] A hybrid model of a hybrid sequential production line is constructed based on the basic model and the discrete model. The hybrid model includes the basic model, connection relationship and production steps corresponding to each processing procedure in the hybrid sequential production line. The hybrid sequential production line includes a discrete sequential production line and a continuous sequential production line. Each processing procedure in the continuous sequential production line has a different processing rhythm.
[0014] Furthermore, the basic model includes a material preparation unit, a transportation unit and a processing unit. The material preparation unit is used to describe the raw material preparation and process replenishment of the sequential production line, as well as the temporary storage of outputs. The transportation unit is used to describe the loading transportation, unloading transportation and feeding transportation. The processing unit is used to describe the production and processing type, output quantity and output weight of the sequential production line.
[0015] Furthermore, the material preparation unit includes a material preparation module and a temporary storage module. The material preparation module is used to describe raw material preparation and process replenishment. The temporary storage module is used to perform conversion when the output quantity or weight of the previous processing step does not match the loading quantity or weight of the next processing step. The conversion methods of the temporary storage module include zero deposit and lump sum withdrawal, lump sum deposit and zero withdrawal, and lump sum deposit and whole withdrawal. The zero deposit and lump sum withdrawal is used to describe that multiple outputs of the previous processing step are one input of the next processing step, the lump sum deposit and zero withdrawal is used to describe that one output of the previous processing step is multiple inputs of the next processing step, and the lump sum deposit and whole withdrawal is used to describe that one output of the previous processing step is one input of the next processing step.
[0016] Furthermore, the transportation modes of the transport unit include cart transportation, flow transportation, motionless transportation and non-automatic transportation. The cart transportation is used to describe the transfer behavior with discrete input and output, determined transportation volume and determined position movement. The flow transportation is used to describe the transfer behavior with continuous input and output, uncertain transportation volume and uninterrupted transfer. The motionless transportation is used to describe the transfer behavior with discrete input and output, determined transportation volume and no displacement. The non-automatic transportation is used to describe the transfer behavior of people in the loop with determined input and output, determined transportation volume and position movement.
[0017] Furthermore, the processing unit includes a quantitative module and a variable module. The quantitative module is used to describe the production of one-order-one-output, one-input-one-output processing and output matching. The one-order-one-output is used to adjust the corresponding processing unit so that one processing order corresponds to one output quantity. The one-order-one-output is used to adjust the corresponding processing unit so that one processing order corresponds to one output quantity. The variable module is used to describe the production in which the processing form does not match the output form and has continuous production attributes.
[0018] Furthermore, the connection relationship of the discrete model is a one-to-one connection relationship between the material preparation list and the transport list, the transport list and the processing list, and the processing list and the work report list; the connection relationship of the hybrid model is a one-to-many connection relationship between the processing list and the work report list, the processing list and the transport list, and the many-to-one connection relationship between the transport list and the processing list. The material preparation list is an information recording list generated by the material preparation unit, the processing list is an information recording list generated by the processing unit, the transport list is an information recording list generated by the transport unit, and the work report list is an information recording list of the quantity or weight of qualified or unqualified products produced.
[0019] Furthermore, the processing steps include a material preparation step, a material loading step, a processing step, a material discharging step and a material feeding step. The material preparation information of the material preparation step is recorded by the corresponding material preparation list, the material feeding information of the material loading step is recorded by a transport list, the processing information of the processing step is recorded by the processing list, the work reporting information of the material discharging step is recorded by the work reporting list, and the transportation information of the material feeding step is recorded by the transport list.
[0020] In a second aspect, the present application provides a modeling device for a sequential production line, wherein the device is used to implement the steps of the modeling method for a sequential production line as described in the first aspect.
[0021] In a third aspect, the present application provides a terminal device, the terminal device comprising a processor, a memory and a communication bus;
[0022] The communication bus is used to realize the connection and communication between the processor and the memory;
[0023] The processor is used to execute one or more programs in the memory to implement the steps of the modeling method of the timing production line as described in the first aspect.
[0024] The beneficial effects of the present application are as follows: the modeling method, device, and terminal equipment of the sequential production line provided by the present application describe the basic unit of the sequential production line through a basic model. The basic model uses the material preparation unit and the processing unit as components and the transportation unit as a connector. The components and connectors are used to simulate the processing procedures in the topology of the sequential production line, thereby realizing the description of the sequential production line, fully reflecting the material preparation, transportation, and processing functions of the sequential production line, which not only meets the functional requirements of the sequential production line, but also accurately simulates the topological structure of the sequential production line, thereby improving the accuracy of the sequential production line model. The discrete model is used to describe the equal-quantity, equal-beat, one-to-one sequential production line. Through the production steps of material preparation, loading, processing, unloading, and feeding, the one-to-one relationship between the material preparation list, the transportation list, the processing list, and the work report list is recorded, and the tracking of the output of the sequential production line is completed according to the sequence of material preparation, transportation, and processing. The hybrid model is used to describe the seamless connection of variable variables and changing beats, one-to-many / many-to-one, to meet the requirements of continuous to discrete, discrete to continuous, and production line conversion. Independent beats are set for the preparation unit, transportation unit, and processing unit to isolate the mismatch of preparation, loading, processing, unloading, and feeding. The most likely beat or multiple beats of the sequential production line are used to comprehensively record the production rhythm of the sequential production line. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 A flow chart of a modeling method for a sequential production line provided in an embodiment of the present application;
[0026] Figure 2 A schematic diagram of the relationship between a basic model, a discrete model and a hybrid model provided in an embodiment of the present application;
[0027] Figure 3 A schematic diagram of the structure of a basic model provided in an embodiment of the present application;
[0028] Figure 4 A schematic diagram of a discrete model provided in an embodiment of the present application;
[0029] Figure 5 A schematic diagram of the structure of a hybrid model provided in an embodiment of the present application;
[0030] Figure 6 A schematic diagram of the structure of a terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0031] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0032] The technical solution of the embodiment of the present application is applicable to the application scenario of sequential production simulation. In the current sequential production simulation process, the production line equipment is abstracted into individual models, and the production line simulation is realized by using the individual models to record the processing data. This method cannot truly simulate the topological structure of the sequential production line, is not convenient for material tracking of the sequential production line, and cannot reflect the rhythm of production, so that the production line model cannot accurately simulate the sequential production process, and thus the accuracy of the sequential production simulation is poor, making it difficult to accurately optimize the sequential production line.
[0033] Based on this, the technical solution of the present application is proposed. In an embodiment of the present application, a basic model of each processing procedure is constructed according to the characteristics of the sequential production line, and multiple processing procedures constitute the sequential production line; a discrete model of the discrete sequential production line is constructed based on the basic model, and the discrete model includes the basic model, connection relationship and production steps corresponding to each processing procedure in the discrete sequential production line, and each processing procedure in the discrete sequential production line has the same processing rhythm; a hybrid model of the hybrid sequential production line is constructed based on the basic model and the discrete model, and the hybrid model includes the basic model, connection relationship and production steps corresponding to each processing procedure in the hybrid sequential production line, and the hybrid sequential production line includes a discrete sequential production line and a continuous sequential production line, and each processing procedure in the continuous sequential production line has a different processing rhythm.
[0034] Specifically, in the embodiments of the present application, the constructed sequential production line model includes a basic model, a discrete model and a hybrid model. The basic model is a model corresponding to each processing procedure in the sequential production line, and is the basis for constructing discrete models and hybrid models. The discrete model is a model of a discrete sequential production line. The hybrid model is a model of a hybrid sequential production line in which continuous and discrete coexist. The basic model is used to simulate the material preparation, transportation and processing functions of the processing procedures, the discrete model is used to describe the one-to-one discrete sequential production line with equal quantity and equal beat, and the hybrid model is used to describe the variable variable beat, one-to-many / many-to-one hybrid sequential production line. The most likely beat or multiple beats of the sequential production line are used to comprehensively record the production rhythm of the sequential production line, thereby achieving accurate simulation of the topological structure of the sequential production line.
[0035] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.
[0036] Figure 1 A flow chart of a method for modeling a sequential production line provided in an embodiment of the present application, the method comprising the following steps:
[0037] S1. Construct a basic model of each processing procedure according to the characteristics of the sequential production line. Multiple processing procedures constitute a sequential production line.
[0038] See also Figure 2 In the embodiment of the present application, the constructed sequential production line model includes a basic model, a discrete model and a hybrid model. The basic model is a model corresponding to each processing step in the sequential production line, and is the basis for constructing discrete models and hybrid models. The discrete model is a model of a discrete sequential production line.
[0039] See also Figure 3 In the embodiment of the present application, the basic model includes a material preparation unit, a transportation unit and a processing unit. The material preparation unit is used to describe the raw material preparation and process replenishment of the sequential production line, as well as the temporary storage of the output. The transportation unit is used to describe the loading transportation, unloading transportation and feeding transportation. The processing unit is used to describe the production and processing type, output quantity and output weight of the sequential production line.
[0040] Specifically, the basic model is mainly used to describe preparation, transportation (Pipeline) and processing (Processing), and its mathematical expression is: R0=M={Bm, Jm, Ym}, where Bm represents the preparation unit, Jm represents the processing unit, and Ym represents the transportation unit.
[0041] In the embodiment of the present application, the material preparation unit is used to describe the raw material preparation, process material replenishment, and temporary storage of the output of the sequential production line. The mathematical expression is: Bm = {BL, Zc}, where BL represents the material preparation module and Zc represents the temporary storage module. That is, the material preparation unit includes the material preparation module and the temporary storage module.
[0042] The material preparation module is used to describe the raw material preparation and process replenishment of the sequential production line, and the temporary storage module is used to convert when the output quantity or weight of the previous processing step does not match the loading quantity or weight of the next processing step.
[0043] The conversion modes of the temporary storage module include zero deposit and full withdrawal, full deposit and zero withdrawal, and full deposit and full withdrawal, that is, Zc = {zero deposit and full withdrawal, full deposit and zero withdrawal, full deposit and full withdrawal}. Zero deposit and full withdrawal is used to describe that multiple outputs of the previous processing step are one input of the next processing step, full deposit and zero withdrawal is used to describe that one output of the previous processing step is multiple inputs of the next processing step, and full deposit and full withdrawal is used to describe that one output of the previous processing step is one input of the next processing step.
[0044] In the embodiment of the present application, the processing unit is used to describe the production processing type of the sequential production line, the quantity / weight of the output, etc. The mathematical expression of the processing unit is: Jm={quantitative, variable}, that is, the processing unit includes a quantitative module and a variable module.
[0045] The quantitative module is used to describe the production of one order per output, one input per output, and matching processing with output. One order per output is used to adjust the corresponding processing unit so that one processing order corresponds to one output. The variable module is used to describe the production with continuous production attributes where the processing form does not match the output form. A continuous cycle is one processing beat.
[0046] In the embodiment of the present application, the transport unit is used to describe loading transport, unloading transport, and feeding transport. The mathematical expression of the transport unit is: Ym = {trolley transport, flow transport, non-motion transport, non-automatic transport}. That is, the transport mode of the transport unit includes trolley transport, flow transport, non-motion transport, and non-automatic transport.
[0047] Trolley transport is used to describe transfer behaviors with discrete input and output, determined transport volume and determined position movement. Stream transport is used to describe transfer behaviors with continuous input and output, uncertain transport volume and uninterrupted transfer. Motionless transport is used to describe transfer behaviors with discrete input and output, determined transport volume and no displacement. Non-automatic transport is used to describe transfer behaviors with determined input and output, determined transport volume and position movement in a loop.
[0048] S2. Construct a discrete model of a discrete sequential production line based on the basic model, wherein the discrete model includes basic models, connection relationships and production steps corresponding to each processing step in the discrete sequential production line, and each processing step in the discrete sequential production line has the same processing rhythm.
[0049] See also Figure 4 In the embodiment of the present application, the discrete model refers to a model of a discrete sequential production line composed of several discrete processing steps. In the discrete processing steps, the output of the previous process is used as the input of the next process and has the same processing beat. The mathematical expression of the discrete model is: RL =<M,L,P,T> =<M,Yy,P,Ls> M represents the basic model of the processing procedure, L represents the connection relationship, P represents the processing step, T represents the sequential production line type, T = {Ls}, and Ls represents the discrete type.
[0050] The connection relationship of the discrete model is a one-to-one connection relationship between the material preparation list and the transportation list, the transportation list and the processing list, and the processing list and the work report list. That is, L = {Yy}, where Yy represents a one-to-one connection relationship. Among them, the material preparation list is an information record list generated by the material preparation unit, the processing list is an information record list generated by the processing unit, the transportation list is an information record list generated by the transportation unit, and the work report list is an information record list of the number or weight of qualified or unqualified products produced.
[0051] The production steps of the discrete model include material preparation step, material loading step, processing step, material discharging step and material feeding step. Its expression is: P = {Bp, Sa, Jg, Cp, So, Jp}, Bp represents the material preparation step, Sa represents the material loading step, Jg represents the processing step, Cp represents the material discharging step, So represents the material feeding step, and Jp represents the processing cycle. Among them, the material preparation information of the material preparation step is recorded by the corresponding material preparation list, the material feeding information of the material loading step is recorded by the transportation list, the processing information of the processing step is recorded by the processing list, the work report information of the material discharging step is recorded by the work report list, and the transportation information of the material feeding step is recorded by the transportation list.
[0052] Among them, material preparation refers to the preparation of raw materials and the replenishment of materials during the process. A material preparation sheet is used to record a piece of material preparation information, and it has the function of one-time material preparation and multiple replenishment. Loading refers to the delivery of raw materials to the processing site. A transport sheet is used to record a piece of material delivery information, and it has the function of transporting all of them away at one time. Processing refers to the processing behavior. A processing sheet is used to record a piece of processing information, and it has the function of collecting processing process parameters. Discharging refers to the end of processing. A work report is used to record a piece of work report information, and it has the function of recording output quantity / weight. Feeding refers to the transportation of outputs to the next process. A transport sheet is used to record a piece of transportation information, and it has the function of transporting all of them away at one time. The processing rhythm of the discrete model refers to the consistent rhythm of material preparation, loading, processing, discharging and feeding.
[0053] S3. Construct a hybrid model of a hybrid sequential production line based on the basic model and the discrete model. The hybrid model includes the basic model, connection relationship and production steps corresponding to each processing procedure in the hybrid sequential production line. The hybrid sequential production line includes a discrete sequential production line and a continuous sequential production line. Each processing procedure in the continuous sequential production line has a different processing rhythm.
[0054] See also Figure 5 In the embodiment of the present application, the hybrid model refers to a model of a hybrid sequential production line consisting of a number of continuous processing steps and discrete processing steps, in which the output dimensions of each processing step are different and the processing cycle intervals are different. Its mathematical expression is: RL =<M,L,P,T> =<M,Yy,P,Ls> Similarly, M represents the basic model of the processing procedure, L represents the connection relationship, P represents the processing steps, T represents the sequential production line type, T = {Lx, Ls}, Lx represents the continuous type, and Ls represents the discrete type.
[0055] The connection relationship of the hybrid model is one-to-many connection relationship and many-to-one connection relationship. One-to-many means that the processing order and the work order, the processing order and the transportation order are one-to-many, and the material preparation order and the transportation order, and the transportation order and the processing order are one-to-one. Many-to-one means that the transportation order and the processing order are many-to-one, the processing order and the work order are one-to-many, and the material preparation order and the transportation order, and the work order and the transportation order are one-to-one. That is, L = {Yd, Dy}, Yd represents a one-to-many connection relationship, and Dy represents a many-to-one connection relationship.
[0056] The production steps of the hybrid model are the same as those of the discrete model, that is, P = {Bp, Sa, Jg, Cp, So, Jp}, Bp represents the material preparation step, Sa represents the material loading step, Jg represents the processing step, Cp represents the material discharging step, So represents the material feeding step, and Jp represents the processing rhythm. The processing rhythm of the hybrid model refers to the inconsistent rhythm of material preparation, material loading, processing, material discharging and material feeding, and the least common multiple of each processing rhythm is used as the optimal rhythm.
[0057] In the hybrid model, if the previous processing step is continuous production and the next processing step is discrete production, the previous processing step and the next processing step are connected from continuous to discrete. If the previous processing step is discrete production and the next processing step is continuous production, the previous processing step and the next processing step are connected from discrete to continuous.
[0058] The modeling method for the timing production line provided in the embodiment of the present application has at least the following advantages:
[0059] (1) Components and connectors reproduce the topology of the sequential production line. The sequential production line is described with the material preparation unit and processing unit as components and the transportation unit as connectors, which fully reflects the material preparation, transportation and processing functions of the sequential production line, meets the functional requirements of the sequential production line, and reproduces the topological structure of the sequential production line.
[0060] (2) Equal quantity, equal beat, one-to-one tracking. The discrete model describes the equal quantity, equal beat, and one-to-one sequential production line description. Through the steps of material preparation, loading, processing, unloading, and feeding, the one-to-one relationship between the material preparation list, transportation list, processing list, and work report list is recorded. According to the sequence of material preparation, transportation, and processing, the output of the sequential production line is tracked.
[0061] (3) Variable variables change rhythm, one-to-many / many-to-one seamless connection. The hybrid model describes the seamless connection of variable variables change rhythm, one-to-many / many-to-one, meeting the requirements of continuous to discrete, discrete to continuous, and this production line to other production lines. It sets independent rhythms for the material preparation unit, transportation unit, and processing unit, isolates the mismatch of material preparation, loading, processing, unloading, and feeding, and uses the most likely rhythm or multiple rhythms of the sequential production line to comprehensively record the production rhythm of the sequential production line.
[0062] Based on the above technical solution, an embodiment of the present application further proposes a modeling device for a sequential production line, which is used to implement the steps of the modeling method for a sequential production line as described in the embodiment of the present application.
[0063] See also Figure 6 , based on the above technical solution, the embodiment of the present application also proposes a terminal device, the terminal device includes a processor, a memory and a communication bus;
[0064] The communication bus is used to realize the connection and communication between the processor and the memory;
[0065] The processor is used to execute one or more programs in the memory to implement the steps of the modeling method of the timing production line as described in the embodiment of the present application.
[0066] It can be understood that since the devices and equipment described in the embodiments of the present application are devices and equipment for implementing the methods described in the embodiments, for the devices and equipment disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple. For relevant matters, please refer to the partial description of the methods, which will not be repeated here.
Claims
1. A modeling method for a sequential production line, characterized in that: The method comprises: According to the characteristics of the sequential production line, the basic model of each processing procedure is constructed, and multiple processing procedures constitute a sequential production line; Based on the basic model, a discrete model of a discrete sequential production line is constructed, wherein the discrete model includes a basic model, a connection relationship, and a production step corresponding to each processing step in the discrete sequential production line, and each processing step in the discrete sequential production line has the same processing beat; A hybrid model of a hybrid sequential production line is constructed based on the basic model and the discrete model. The hybrid model includes the basic model, connection relationship and production steps corresponding to each processing procedure in the hybrid sequential production line. The hybrid sequential production line includes a discrete sequential production line and a continuous sequential production line. Each processing procedure in the continuous sequential production line has a different processing rhythm.
2. The modeling method of a sequential production line according to claim 1, characterized in that: The basic model includes a material preparation unit, a transportation unit and a processing unit. The material preparation unit is used to describe the raw material preparation and process replenishment of the sequential production line, as well as the temporary storage of the output. The transportation unit is used to describe the loading transportation, unloading transportation and feeding transportation. The processing unit is used to describe the production and processing type, output quantity and output weight of the sequential production line.
3. The modeling method of a sequential production line according to claim 2, characterized in that: The material preparation unit includes a material preparation module and a temporary storage module. The material preparation module is used to describe raw material preparation and process replenishment. The temporary storage module is used to convert when the output quantity or weight of the previous processing step does not match the loading quantity or weight of the next processing step. The conversion methods of the temporary storage module include zero deposit and lump sum withdrawal, lump sum deposit and zero withdrawal, and lump sum deposit and whole withdrawal. The zero deposit and lump sum withdrawal is used to describe that multiple outputs of the previous processing step are one input of the next processing step. The lump sum deposit and zero withdrawal is used to describe that one output of the previous processing step is multiple inputs of the next processing step. The lump sum deposit and whole withdrawal is used to describe that one output of the previous processing step is one input of the next processing step.
4. The modeling method of a sequential production line according to claim 2, characterized in that: The transportation modes of the transport unit include cart transportation, flow transportation, motionless transportation and non-automatic transportation. The cart transportation is used to describe the transfer behavior with discrete input and output, determined transportation volume and determined position movement. The flow transportation is used to describe the transfer behavior with continuous input and output, uncertain transportation volume and uninterrupted transfer. The motionless transportation is used to describe the transfer behavior with discrete input and output, determined transportation volume and no displacement. The non-automatic transportation is used to describe the transfer behavior of people in the loop with determined input and output, determined transportation volume and position movement.
5. The modeling method of a sequential production line according to claim 2, characterized in that: The processing unit includes a quantitative module and a variable module. The quantitative module is used to describe the production of one-order production, one-input and one-output processing and output matching. The one-order production is used to adjust the corresponding processing unit so that one processing order corresponds to one output quantity. The one-order production is used to adjust the corresponding processing unit so that one processing order corresponds to one output quantity. The variable module is used to describe the production in which the processing form does not match the output form and has continuous production attributes.
6. The modeling method of a sequential production line according to claim 1, characterized in that: The connection relationship of the discrete model is a one-to-one connection relationship between the material preparation list and the transport list, the transport list and the processing list, and the processing list and the work report list. The connection relationship of the hybrid model is a one-to-many connection relationship between the processing list and the work report list, the processing list and the transport list, and the many-to-one connection relationship between the transport list and the processing list. The material preparation list is an information recording list generated by the material preparation unit, the processing list is an information recording list generated by the processing unit, the transport list is an information recording list generated by the transport unit, and the work report list is an information recording list of the quantity or weight of qualified or unqualified products produced.
7. The modeling method of a sequential production line according to claim 1, characterized in that: The processing steps include material preparation step, material loading step, processing step, material discharging step and material feeding step. The material preparation information of the material preparation step is recorded by the corresponding material preparation list, the material feeding information of the material loading step is recorded by the transport list, the processing information of the processing step is recorded by the processing list, the work reporting information of the material discharging step is recorded by the work reporting list, and the transportation information of the material feeding step is recorded by the transport list.
8. A modeling device for a sequential production line, characterized in that: The device is used to implement the steps of the modeling method for a sequential production line as described in any one of claims 1 to 7.
9. A terminal device, characterized in that: The terminal device includes a processor, a memory and a communication bus; The communication bus is used to realize the connection and communication between the processor and the memory; The processor is used to execute one or more programs in the memory to implement the steps of the modeling method for a timing production line according to any one of claims 1 to 7.