A multi-layer chain optimization method and system for new energy vehicle production line

Abstract

The present invention relates to the technical field of production line optimization, and specifically discloses a multi-layer chain optimization method and system for a new energy vehicle production line. The method includes receiving a process sequence input by an administrator, and determining at least one production line based on the process sequence; for any production line, obtaining resource demand information of each process; the resource demand information includes resource demand type and resource demand amount; obtaining workstations of adjacent processes, and evaluating the benefit value of each production line based on the obtained workstations and resource demand information; and selecting a production line whose benefit value reaches a preset benefit value threshold as an optimized production line; the present invention receives the order input by the administrator, randomly generates multiple feasible assembly lines, and intelligently screens the multiple assembly lines to quickly obtain several sets of better solutions. At this time, only simple review and fine-tuning by the staff is required to obtain an assembly line that can be put into use, with extremely high efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of production line optimization, and in particular to a multi-layer chain optimization method and system for a new energy vehicle production line. Background Art

[0002] Optimizing the production line can improve production efficiency and reduce waste in the production process. Optimization methods include eliminating unnecessary waiting time, optimizing material flow, simplifying operating procedures, etc. By identifying and eliminating unnecessary waste, companies can reduce production costs and increase profit margins. Optimizing the production line can reduce errors and defects in the production process and improve product quality and consistency.

[0003] Existing production line optimization solutions rely entirely on manual experience. This method is very convenient when the assembly line involves fewer processes. However, in some high-tech industries, the production line involves a large number of processes, and the staff who complete these processes are mostly specialized talents. There are technical barriers between different processes. At this time, it is very difficult to rely on one or two people to optimize the entire assembly line. Summary of the Invention

[0004] The purpose of the present invention is to provide a multi-layer chain optimization method and system for a new energy vehicle production line to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A multi-layer chain optimization method for a new energy vehicle production line, the method comprising:

[0007] receiving a process sequence input by an administrator, and determining at least one production line based on the process sequence; the process sequence is a sequence between any two processes;

[0008] For any production line, obtain resource demand information for each process; the resource demand information includes resource demand type and resource demand amount;

[0009] Obtaining the workstations of adjacent processes and evaluating the efficiency of each production line based on the acquired workstations and resource demand information; wherein the efficiency is inversely proportional to the distance between the workstations of each pair of adjacent processes and directly proportional to the similarity of the resource demand information of each pair of adjacent processes;

[0010] The production line whose benefit value reaches the preset benefit value threshold is regarded as the optimized production line.

[0011] As a further solution of the present invention, the step of receiving the process sequence input by the administrator and determining at least one production line based on the process sequence includes:

[0012] Obtain all the processes involved in the production process and obtain the process table;

[0013] Display the process table and receive the order between two processes input by the administrator as the boundary condition;

[0014] Randomly combine the various processes in the process table and execute them cyclically to obtain a preset number of combinations;

[0015] Screening the combination methods according to the boundary conditions, and using the screened combination methods as the production line;

[0016] The loop exit conditions of the loop execution process include that the number of production lines is at least one and the number of loop executions reaches a preset threshold.

[0017] As a further solution of the present invention, the step of obtaining the workstations of adjacent processes and evaluating the benefit value of each production line based on the obtained workstations and resource demand information includes:

[0018] Traverse each process in the production line, obtain the workstations of adjacent processes in sequence, and calculate the distance between the workstations containing process labels; the process labels include the sequence numbers of the two processes corresponding to the adjacent processes;

[0019] Read resource requirement information of adjacent processes in sequence, compare the resource requirement information, and obtain similarity with process tags;

[0020] Calculate the efficiency value of the production line based on the process label matching workstation distance and similarity.

[0021] As a further solution of the present invention, the step of sequentially reading resource requirement information of adjacent processes, comparing the resource requirement information, and obtaining similarity with process tags includes:

[0022] Convert resource demand information into a histogram and calculate the similarity of the histogram as the similarity of resource demand information of adjacent processes;

[0023] The step of calculating the efficiency value of the production line based on the process label pairing workstation distance and similarity includes:

[0024] Where, is the benefit value, Indicates the The similarity of adjacent processes corresponding to process labels, Indicates the The distance between adjacent process stations corresponding to each process label; represents the total number of adjacent processes, and These are all preset parameters.

[0025] As a further solution of the present invention: the production line whose benefit value reaches a preset benefit value threshold, as a step of optimizing the production line, includes:

[0026] Compare the benefit value of each production line with the preset benefit value threshold;

[0027] When the benefit value reaches a preset benefit value threshold, the corresponding production line is used as the optimized production line.

[0028] As a further embodiment of the present invention, the method further comprises:

[0029] When an optimized production line is applied in a workshop, an information collection request is sent to the staff of the workshop;

[0030] When receiving the information collection authority granted by the staff of the optimized production line, a connection channel with the workshop camera system is established;

[0031] The workshop camera system is used to obtain real-time workshop videos and extract worker trajectories from the workshop videos.

[0032] Comparing the worker trajectory with a preset work trajectory to calculate the idleness;

[0033] Further screening the optimized production line according to the idleness;

[0034] The process of comparing the worker trajectory with a preset work trajectory and calculating the idleness includes:

[0035] The length difference between the worker trajectory and the work trajectory is calculated, and the idleness is determined according to the length difference; the idleness is proportional to the length difference.

[0036] The technical solution of the present invention also provides a multi-layer chain optimization system for a new energy vehicle production line, the system comprising:

[0037] A production line determination module is configured to receive a process sequence input by an administrator and determine at least one production line based on the process sequence; the process sequence is the order between any two processes;

[0038] The resource demand acquisition module is used to obtain the resource demand information of each process for any production line; the resource demand information includes the resource demand type and resource demand amount;

[0039] A benefit value calculation module is used to obtain the workstations of adjacent processes and evaluate the benefit value of each production line based on the obtained workstations and resource demand information; wherein the benefit value is inversely proportional to the distance between the workstations of each pair of adjacent processes and directly proportional to the similarity of the resource demand information of each pair of adjacent processes;

[0040] The production line screening module is used to select the production line whose benefit value reaches the preset benefit value threshold as the optimized production line.

[0041] As a further solution of the present invention: the production line determination module includes:

[0042] The process table creation unit is used to obtain all the processes involved in the production process and obtain the process table;

[0043] A boundary condition determination unit is used to display a process table and receive the order between two processes input by an administrator as a boundary condition;

[0044] The process combination unit is used to randomly combine the processes in the process table and execute them cyclically to obtain a preset number of combinations;

[0045] A combination screening unit, configured to screen the combination modes according to the boundary conditions and use the screened combination modes as a production line;

[0046] The loop exit conditions of the loop execution process include that the number of production lines is at least one and the number of loop executions reaches a preset threshold.

[0047] As a further solution of the present invention: the benefit value calculation module includes:

[0048] A distance query unit is used to traverse each process in the production line, obtain the workstations of adjacent processes in sequence, and calculate the distance between the workstations containing process labels; the process labels include the serial numbers of the two processes corresponding to the adjacent processes;

[0049] A resource requirement comparison unit is used to sequentially read resource requirement information of adjacent processes, compare the resource requirement information, and obtain similarity containing process tags;

[0050] The processing execution unit is used to calculate the efficiency value of the production line based on the process label matching workstation distance and similarity.

[0051] As a further solution of the present invention, the step of sequentially reading resource requirement information of adjacent processes, comparing the resource requirement information, and obtaining similarity with process tags includes:

[0052] Convert resource demand information into a histogram and calculate the similarity of the histogram as the similarity of resource demand information of adjacent processes;

[0053] The step of calculating the efficiency value of the production line based on the process label pairing workstation distance and similarity includes:

[0054] Where, is the benefit value, Indicates the The similarity of adjacent processes corresponding to process labels, Indicates the The distance between adjacent process stations corresponding to each process label; represents the total number of adjacent processes, and These are all preset parameters.

[0055] Compared with the existing technology, the beneficial effects of the present invention are: the present invention receives the order of sequence input by the administrator, randomly generates multiple feasible pipelines, and intelligently screens multiple pipelines to quickly obtain several sets of better solutions. At this time, only simple review and fine-tuning by the staff is required to obtain a pipeline that can be put into use, which is extremely efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0057] Figure 1 This is a flowchart of the multi-layer chain optimization method for new energy vehicle production lines.

[0058] Figure 2 This is a structural block diagram of the multi-layer chain optimization system for new energy vehicle production lines. DETAILED DESCRIPTION

[0059] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0060] Figure 1 This is a flowchart of a multi-layer chain optimization method for a new energy vehicle production line. In an embodiment of the present invention, a multi-layer chain optimization method for a new energy vehicle production line includes:

[0061] Step S100: receiving a process sequence input by an administrator, and determining at least one production line based on the process sequence; the process sequence is the order between any two processes;

[0062] The process sequence refers to the order between each process. For example, cleaning is usually the last step. This process sequence is input by the administrator. It is a basic order and can be regarded as a condition. Only when all process sequences are met can the corresponding production line be put into use. In addition, the process sequence is limited. For some processes that have no sequence, the administrator will not input them. This means that there are many production lines that meet all process sequences.

[0063] Step S200: For any production line, obtain resource demand information of each process; the resource demand information includes resource demand type and resource demand amount;

[0064] For any qualified production line, the resource requirement information of each process is obtained. The resource requirement information is used to characterize which resources are required for each process and the required quantity of each resource. The required resources include raw materials, equipment, the number and level of workers, and energy, etc., which all depend on the specific situation. For the technical solution of the present invention, the resource requirement information of each process is a known quantity and can be directly read.

[0065] Step S300: Acquire workstations of adjacent processes and evaluate the efficiency of each production line based on the acquired workstations and resource demand information; wherein the efficiency is inversely proportional to the distance between the workstations of each pair of adjacent processes and directly proportional to the similarity of the resource demand information of each pair of adjacent processes;

[0066] For any qualified production line, it includes multiple processes. From the beginning to the end of the line, two processes are compared in turn. The comparison content includes the workstations of the two processes and the resource demand information of the two processes. The closer the distance between the workstations and the more similar the resource demand information, the more correct it is that the two processes are adjacent processes, which can save a lot of process conversion time; all adjacent processes in the production line are analyzed, and the quality of the production line is evaluated according to the correctness of each phase sequence process, which is represented by the parameter of benefit value.

[0067] Step S400: selecting a production line whose benefit value reaches a preset benefit value threshold as the optimized production line;

[0068] The administrator pre-sets a benefit value threshold and screens production lines based on the benefit value threshold. The production lines that meet the benefit value threshold requirements are optimized production lines, called optimized production lines, and can be put into use as a better solution.

[0069] Regarding step S100, the step of receiving the process sequence input by the administrator and determining at least one production line based on the process sequence includes:

[0070] Obtain all the processes involved in the production process and obtain the process table;

[0071] Display the process table and receive the order between two processes input by the administrator as the boundary condition;

[0072] Randomly combine the various processes in the process table and execute them cyclically to obtain a preset number of combinations;

[0073] The combination modes are screened according to the boundary conditions, and the screened combination modes are used as production lines.

[0074] The above content limits the generation process of the production line. In the new energy vehicle production task, each task corresponds to multiple processes, which are represented by the production process. The production process is a project requirement. For the technical solution of the present invention, it can be directly read. After reading the production process, all processes involved in the production process are obtained to obtain a process table; the process table is displayed, and some conditions that must be met are received by the administrator, that is, the order between any two processes (hard conditions) as boundary conditions; then, all processes in the process table are randomly combined to quickly determine multiple production lines, some of which are valid and some are invalid. The ones that meet the hard conditions are retained as a feasible assembly line, and the combinations that do not meet the hard conditions can be directly deleted.

[0075] It should be noted that, because the technical solution of the present invention will screen the generated feasible pipelines, the screening process is an optimization process. Therefore, the number of feasible pipelines generated should be as large as possible. To meet this requirement, this application limits the loop exit conditions of the loop execution process. The loop exit conditions of the loop execution process include that the number of production lines is at least one and the number of loop executions reaches a preset threshold.

[0076] Regarding step S300, the step of obtaining the workstations of adjacent processes and evaluating the benefit value of each production line based on the obtained workstations and resource demand information includes:

[0077] Traverse each process in the production line, obtain the workstations of adjacent processes in sequence, and calculate the distance between the workstations containing process labels; the process labels include the sequence numbers of the two processes corresponding to the adjacent processes;

[0078] Read resource requirement information of adjacent processes in sequence, compare the resource requirement information, and obtain similarity with process tags;

[0079] Calculate the efficiency value of the production line based on the process label matching workstation distance and similarity.

[0080] In an example of the technical solution of the present invention, each feasible assembly line is analyzed separately, and each process in the production line is traversed sequentially to extract adjacent processes. For example, process No. 1 and process No. 2 are adjacent processes, process No. 2 and process No. 3 are adjacent processes, process No. 3 and process No. 4 are adjacent processes, and so on, to obtain multiple adjacent processes; for each adjacent process, the workstation distance between adjacent processes is calculated. For different processes, it may be completed in different workshops. Therefore, the workstation distance between some adjacent processes will be very large. The smaller the workstation distance, the smaller the distance for transferring semi-finished products, the more time-saving, and accordingly, the more correct the two processes are as adjacent processes; for the resource demand information of adjacent processes, the resource demand information of the two processes is compared, and the difference in required resources can be calculated. The higher the similarity of the required resources, it means that the two adjacent processes do not need to perform a large amount of resource conversion work, and the more correct the two processes are as adjacent processes.

[0081] After analyzing all adjacent processes, the efficiency value of the production line is determined based on the accuracy of each adjacent process.

[0082] As a preferred embodiment of the technical solution of the present invention, the step of sequentially reading resource requirement information of adjacent processes, comparing the resource requirement information, and obtaining similarity with process tags includes:

[0083] The resource requirement information is converted into a histogram, and the similarity of the histogram is calculated as the similarity of the resource requirement information of adjacent processes.

[0084] Resource demand information is how much of each resource is needed. Sort the resource types to get the horizontal axis, normalize the resource amount corresponding to each resource type so that they have the same value range, and use the vertical coordinate value at the corresponding position of the resource type on the horizontal axis to get a histogram. At this time, calculate the similarity of the histogram, that is, the similarity of the resource demand information of adjacent processes; the similarity of the histogram can be calculated using the similarity of the array.

[0085] The step of calculating the efficiency value of the production line based on the process label pairing workstation distance and similarity includes:

[0086] Where, is the benefit value, Indicates the The similarity of adjacent processes corresponding to process labels, Indicates the The distance between adjacent process stations corresponding to each process label; represents the total number of adjacent processes, and These are all preset parameters.

[0087] It should be noted that the calculated similarity is generally in the range of zero to one. The term is an increasing function of similarity, and its value is greater than zero, which means that the greater the similarity, the higher the benefit value; further, The term indicates that the greater the distance between workstations, the lower the efficiency value, which is consistent with the actual situation. In addition, the production line is a collection of multiple adjacent processes, so the above calculation process contains a summation formula.

[0088] Regarding step S400, the steps of optimizing the production line according to the production line whose benefit value reaches the preset benefit value threshold include:

[0089] Compare the benefit value of each production line with the preset benefit value threshold;

[0090] When the benefit value reaches a preset benefit value threshold, the corresponding production line is used as the optimized production line.

[0091] The above content describes the production line screening process. Based on the calculated benefit value, the benefit value of each production line is compared with the preset benefit value threshold. When the benefit value reaches the preset benefit value threshold, the corresponding production line can be used as the optimized production line.

[0092] As a preferred embodiment of the technical solution of the present invention, the method further includes:

[0093] When an optimized production line is applied in a workshop, an information collection request is sent to the staff of the workshop;

[0094] When receiving the information collection authority granted by the staff of the optimized production line, a connection channel with the workshop camera system is established;

[0095] The workshop camera system is used to obtain real-time workshop videos and extract worker trajectories from the workshop videos.

[0096] Comparing the worker trajectory with a preset work trajectory to calculate the idleness;

[0097] Further screening the optimized production line according to the idleness;

[0098] The process of comparing the worker trajectory with a preset work trajectory and calculating the idleness includes:

[0099] The length difference between the worker trajectory and the work trajectory is calculated, and the idleness is determined according to the length difference; the idleness is proportional to the length difference.

[0100] In an example of the technical solution of the present invention, a further screening solution is provided on the basis of the existing solution. On the basis of having authority, the operation status of the production line put into use is obtained. The operation status of the production line described in this application mainly considers the idleness of the workers. The higher the idleness, the unreasonable design of the assembly line and the phenomenon of overlapping work scope of the workers. Screening the optimized production lines based on the idleness can further reduce the number of optimized production lines and obtain a better solution.

[0101] In the technical solution of the present invention, the calculation scheme for the idleness is very simple. The length difference between the worker trajectory and the work trajectory is calculated, and an increasing function, such as a linear function or an exponential function, is introduced into the length difference. Then, the idleness is obtained by multiplying it by a preset correction coefficient.

[0102] Figure 2 The following is a structural block diagram of a multi-layer chain optimization system for a new energy vehicle production line. In an embodiment of the present invention, a multi-layer chain optimization system for a new energy vehicle production line is provided. The system 10 includes:

[0103] The production line determination module 11 is configured to receive a process sequence input by an administrator and determine at least one production line based on the process sequence; the process sequence is the order between any two processes;

[0104] The resource demand acquisition module 12 is used to obtain the resource demand information of each process of any production line; the resource demand information includes the resource demand type and resource demand amount;

[0105] The benefit value calculation module 13 is used to obtain the workstations of adjacent processes and evaluate the benefit value of each production line based on the obtained workstations and resource demand information; wherein the benefit value is inversely proportional to the distance between the workstations of each pair of adjacent processes and directly proportional to the similarity of the resource demand information of each pair of adjacent processes;

[0106] The production line screening module 14 is configured to select a production line whose benefit value reaches a preset benefit value threshold as an optimized production line.

[0107] Furthermore, the production line determination module 11 includes:

[0108] The process table creation unit is used to obtain all the processes involved in the production process and obtain the process table;

[0109] A boundary condition determination unit is used to display a process table and receive the order between two processes input by an administrator as a boundary condition;

[0110] The process combination unit is used to randomly combine the processes in the process table and execute them cyclically to obtain a preset number of combinations;

[0111] A combination screening unit, configured to screen the combination modes according to the boundary conditions and use the screened combination modes as a production line;

[0112] The loop exit conditions of the loop execution process include that the number of production lines is at least one and the number of loop executions reaches a preset threshold.

[0113] Specifically, the benefit value calculation module 13 includes:

[0114] A distance query unit is used to traverse each process in the production line, obtain the workstations of adjacent processes in sequence, and calculate the distance between the workstations containing process labels; the process labels include the serial numbers of the two processes corresponding to the adjacent processes;

[0115] A resource requirement comparison unit is used to sequentially read resource requirement information of adjacent processes, compare the resource requirement information, and obtain similarity containing process tags;

[0116] The processing execution unit is used to calculate the efficiency value of the production line based on the process label matching workstation distance and similarity.

[0117] The step of sequentially reading resource requirement information of adjacent processes, comparing the resource requirement information, and obtaining similarity of process labels includes:

[0118] Convert resource demand information into a histogram and calculate the similarity of the histogram as the similarity of resource demand information of adjacent processes;

[0119] The step of calculating the efficiency value of the production line based on the process label pairing workstation distance and similarity includes:

[0120] Where, is the benefit value, Indicates the The similarity of adjacent processes corresponding to process labels, Indicates the The distance between adjacent process stations corresponding to each process label; represents the total number of adjacent processes, and These are all preset parameters.

[0121] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A multi-layer chain optimization method for a new energy vehicle production line, characterized in that: The method comprises: receiving a process sequence input by an administrator, and determining at least one production line based on the process sequence; the process sequence is a sequence between any two processes; For any production line, obtain resource demand information for each process; the resource demand information includes resource demand type and resource demand amount; Obtaining the workstations of adjacent processes and evaluating the efficiency of each production line based on the acquired workstations and resource demand information; wherein the efficiency is inversely proportional to the distance between the workstations of each pair of adjacent processes and directly proportional to the similarity of the resource demand information of each pair of adjacent processes; The production line whose benefit value reaches the preset benefit value threshold is regarded as the optimized production line; The step of receiving the process sequence input by the administrator and determining at least one production line based on the process sequence includes: Obtain all the processes involved in the production process and obtain the process table; Display the process table and receive the order between two processes input by the administrator as the boundary condition; Randomly combine the various processes in the process table and execute them cyclically to obtain a preset number of combinations; Screening the combination methods according to the boundary conditions, and using the screened combination methods as the production line; The loop exit conditions of the loop execution process include that the number of production lines is at least one and the number of loop executions reaches a preset number threshold; The step of obtaining the workstations of adjacent processes and evaluating the benefit value of each production line based on the obtained workstations and resource demand information includes: Traverse each process in the production line, obtain the workstations of adjacent processes in sequence, and calculate the distance between the workstations containing process labels; the process labels include the sequence numbers of the two processes corresponding to the adjacent processes; Read resource requirement information of adjacent processes in sequence, compare the resource requirement information, and obtain similarity with process tags; Calculate the efficiency value of the production line based on the process label matching workstation distance and similarity.

2. The multi-layer chain optimization method for the new energy vehicle production line according to claim 1 is characterized in that: The step of sequentially reading resource requirement information of adjacent processes, comparing the resource requirement information, and obtaining similarity of process tags includes: Convert resource demand information into a histogram and calculate the similarity of the histogram as the similarity of resource demand information of adjacent processes; The step of calculating the efficiency value of the production line based on the process label pairing workstation distance and similarity includes: Where, is the benefit value, Indicates the The similarity of adjacent processes corresponding to process labels, Indicates the The distance between adjacent process stations corresponding to each process label; represents the total number of adjacent processes, and These are all preset parameters.

3. The multi-layer chain optimization method for the new energy vehicle production line according to claim 2 is characterized in that: The step of optimizing the production line according to the production line whose benefit value reaches the preset benefit value threshold includes: Compare the benefit value of each production line with the preset benefit value threshold; When the benefit value reaches a preset benefit value threshold, the corresponding production line is used as the optimized production line.

4. The multi-layer chain optimization method for a new energy vehicle production line according to any one of claims 1 to 3, characterized in that: The method further comprises: When an optimized production line is applied in a workshop, an information collection request is sent to the staff of the workshop; When receiving the information collection authority granted by the staff of the optimized production line, a connection channel with the workshop camera system is established; The workshop camera system is used to obtain real-time workshop videos and extract worker trajectories from the workshop videos. Comparing the worker trajectory with a preset work trajectory to calculate the idleness; Further screening the optimized production line according to the idleness; The process of comparing the worker trajectory with a preset work trajectory and calculating the idleness includes: The length difference between the worker trajectory and the work trajectory is calculated, and the idleness is determined according to the length difference; the idleness is proportional to the length difference.

5. A multi-layer chain optimization system for a new energy vehicle production line, characterized in that: The system comprises: A production line determination module is configured to receive a process sequence input by an administrator and determine at least one production line based on the process sequence; the process sequence is the order between any two processes; The resource demand acquisition module is used to obtain the resource demand information of each process for any production line; the resource demand information includes the resource demand type and resource demand amount; A benefit value calculation module is used to obtain the workstations of adjacent processes and evaluate the benefit value of each production line based on the obtained workstations and resource demand information; wherein the benefit value is inversely proportional to the distance between the workstations of each pair of adjacent processes and directly proportional to the similarity of the resource demand information of each pair of adjacent processes; The production line screening module is used to select the production line whose benefit value reaches the preset benefit value threshold as the optimized production line; The production line determination module includes: The process table creation unit is used to obtain all the processes involved in the production process and obtain the process table; A boundary condition determination unit is used to display a process table and receive the order between two processes input by an administrator as a boundary condition; The process combination unit is used to randomly combine the processes in the process table and execute them cyclically to obtain a preset number of combinations; A combination screening unit, configured to screen the combination modes according to the boundary conditions and use the screened combination modes as a production line; The loop exit conditions of the loop execution process include that the number of production lines is at least one and the number of loop executions reaches a preset number threshold; The benefit value calculation module includes: A distance query unit is used to traverse each process in the production line, obtain the workstations of adjacent processes in sequence, and calculate the distance between the workstations containing process labels; the process labels include the serial numbers of the two processes corresponding to the adjacent processes; A resource requirement comparison unit is used to sequentially read resource requirement information of adjacent processes, compare the resource requirement information, and obtain similarity containing process tags; The processing execution unit is used to calculate the efficiency value of the production line based on the process label matching workstation distance and similarity.

6. The multi-layer chain optimization system for the new energy vehicle production line according to claim 5 is characterized in that: The step of sequentially reading resource requirement information of adjacent processes, comparing the resource requirement information, and obtaining similarity of process tags includes: Convert resource demand information into a histogram and calculate the similarity of the histogram as the similarity of resource demand information of adjacent processes; The step of calculating the efficiency value of the production line based on the process label pairing workstation distance and similarity includes: Where, is the benefit value, Indicates the The similarity of adjacent processes corresponding to process labels, Indicates the The distance between adjacent process stations corresponding to each process label; represents the total number of adjacent processes, and These are all preset parameters.

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