Simulation analysis and optimization method for AGV logistics distribution
By building a simulation model for AGV logistics distribution of battery cells, the complex problems of production logistics in the lithium battery industry have been solved, and the AGV logistics solution has been quickly verified and optimized, reducing planning costs.
Patent Information
- Application Number
- CN202510007304.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-03
- Publication Date
- 2025-04-25
AI Technical Summary
The existing lithium battery industry has complex production logistics methods, which leads to the lack of data support for the logistics plan evaluation. During the implementation of the plan, the coordination of multiple parties is low, resulting in congestion in factory logistics and even the risk of unreasonable logistics design leading to the production line shortage.
By building a simulation model for AGV logistics distribution of battery cells, simulating the output quantitative data and visual interaction model, quickly verify the rationality of the AGV logistics planning scheme, optimize the AGV logistics scheme, and generate the AGV logistics scheduling method.
Quickly identify risks before the project is implemented, optimize AGV logistics plans, and help the project be implemented safely and efficiently, thereby reducing planning costs.
Smart Images
Figure CN119885650A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a simulation analysis and optimization method for AGV logistics distribution, and belongs to the technical field of AGV logistics distribution of battery core lines in the lithium battery industry. Background Art
[0002] Automated Guided Vehicle (AGV), also known as automatic guided vehicle, is an automatic guided device that can travel along a predetermined path according to different guidance methods and can complete functions such as autonomous operation, automatic navigation, automatic obstacle avoidance and automatic charging. It is one of the key equipment in modern industrial automation systems. AGV has significant characteristics such as flexibility and intelligence. It can easily reorganize the system to achieve flexible transportation in the production process. Compared with traditional manual or semi-manual production methods, AGV carts can complete the fully automated distribution of materials, solve the problems of small human resources and high costs in enterprises, reduce work intensity, reduce danger, and improve production efficiency. Therefore, as the product with the highest level of automation in logistics equipment, AGV is increasingly used in various industries such as automobile manufacturing, new energy, electronics, and warehousing.
[0003] The existing production logistics mode of the lithium battery industry is complex. If it involves the implementation of new projects or the improvement of existing projects, there are problems such as lack of data support for logistics plan evaluation and low coordination efficiency among multiple parties during the implementation of the plan, which will lead to congestion in factory logistics and even the risk of material shortage in the production line due to unreasonable logistics design, which relies heavily on on-site implementation and adjustment experience. In the process of planning and designing the logistics of battery cell lines, the existing production logistics mode of the lithium battery industry is complex, and the unreasonable scheduling strategy makes it impossible to fully optimize the material distribution and AGV utilization, which leads to a further increase in investment costs. Summary of the invention
[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a simulation analysis and optimization method for AGV logistics distribution. By building a battery line AGV logistics distribution simulation model as a way to simulate the project implementation, the quantitative data and visual interactive model are simulated and output according to the planning scheme to quickly verify the rationality of the AGV logistics planning scheme, and solve the problem of increased investment costs caused by the complexity of the existing production logistics methods in the lithium battery industry. In order to achieve the above purpose / solve the above technical problems, the present invention is implemented by adopting the following technical solutions: A simulation analysis and optimization method for AGV logistics distribution, the method comprising: Based on the basic data set, a simulation planning scheme for the AGV logistics of electric core lines is constructed; Based on the AGV logistics simulation planning scheme of the electric core line, an AGV logistics simulation planning scheme model is built to obtain an AGV logistics simulation model; According to the AGV logistics simulation model, the secondary warehouse, line-side buffer rack, equipment processing parameters, AGV operation parameters and the action flow of auxiliary personnel are simulated, the AGV logistics simulation model is evaluated, and the rationality and optimization space of the AGV logistics planning simulation plan are analyzed to obtain the optimized simulation plan; According to the simulation optimization plan, the feasibility of simulation and optimization cost are analyzed and the AGV logistics scheduling method is generated.
[0005] In the above scheme, by building a battery line AGV logistics distribution simulation model as a way to simulate the project implementation, the quantitative data and visual interactive model are simulated and output according to the planning scheme to quickly verify the rationality of the AGV logistics planning scheme. It can quickly identify risks before the project is implemented, optimize the AGV logistics plan, and help the project to be implemented safely and efficiently, thereby reducing planning costs.
[0006] Optionally, during the simulation process, when there are multiple materials that need to be transported at the same time, the AGV logistics simulation planning model determines the priority of the material transporting task of the AGV and selects the task with the higher priority for transporting; if there are multiple AGVs called at the same time, the AGV is selected based on the distance between the AGV and the transported material; if there is no AGV available, wait for an idle AGV to appear before performing material transport.
[0007] In the above scheme, by adding the handling conditions of the AGV cart in the simulation process, the rationality of the AGV logistics planning scheme can be verified, and risks can be quickly identified and the AGV logistics scheme can be optimized before the project is implemented.
[0008] Optionally, during the simulation of the AGV logistics simulation planning model, the models of the AGV vehicles include at least a double-lift AGV, a single-cantilever AGV and a backpack AGV.
[0009] In the above solution, three types of AGV carts are used to meet various situations and reduce costs.
[0010] Optionally, the building of an AGV logistics simulation planning solution model includes: Input the factory production line layout into the simulation software, import the production equipment, secondary warehouse, line-side cache rack, AGV operation parameters and the action flow of auxiliary personnel based on the basic data module of the AGV logistics simulation model, output statistical information, and build an AGV logistics simulation planning model.
[0011] In the above solution, the authenticity of the simulation is increased by importing the factory production line layout.
[0012] Optionally, the AGV logistics scheduling method performs distribution according to preset rules; the preset rules include: the production equipment consumes materials according to the rhythm, and in response to the distribution, calls the AGV cart to determine whether there is an idle AGV cart. If so, the nearest AGV cart is dispatched to transport the materials to the required location. If not, wait for an idle AGV cart to appear.
[0013] In the above scheme, logistics scheduling rules are set to improve the security of logistics scheduling.
[0014] Optionally, the basic data set includes layout information, product information, process information, production factor information and material flow information.
[0015] In the above scheme, the basic data is preprocessed to provide data and strategy support for the subsequent construction of the simulation model.
[0016] Optionally, the method further comprises preprocessing the basic data set, and the preprocessing comprises: Standardize layout information, product information, process information, production factor information and material flow information.
[0017] In the above scheme, by standardizing the basic data, more accurate data information is provided for subsequent simulation.
[0018] Optionally, the AGV logistics simulation model is evaluated, including a pie chart of the utilization status of all AGVs and the daily production capacity achievement.
[0019] The above solution ensures the completion of the production plan and maximizes the use of AGV carts, thus achieving the goal of reducing costs.
[0020] Compared with the prior art, the present invention has the following beneficial effects: The present invention builds an electric core line AGV logistics distribution simulation model as a way to simulate project implementation, simulates and outputs quantitative data and a visual interactive model based on the planning scheme, quickly verifies the rationality of the AGV logistics planning scheme, can quickly identify risks before the project is implemented, optimize the AGV logistics scheme, and help the project to be implemented safely and efficiently, thereby reducing planning costs. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 Shown is a schematic diagram of an embodiment of the overall process of the present invention; Figure 2 A schematic diagram of an embodiment of basic data collection of the present invention; Figure 3 A schematic diagram of an embodiment of the AGV logistics distribution simulation scenario operation for planning electric core lines of the present invention; Figure 4A schematic diagram of an embodiment of the output capacity during the planning period of the present invention; Figure 5 A schematic diagram of an embodiment of the AGV utilization rate during the planning period of the present invention; Figure 6 A schematic diagram of an embodiment of the output capacity after optimization of the present invention; Figure 7 A schematic diagram of an embodiment of the utilization rate of AGV after optimization of the present invention; Figure 8 This is a schematic diagram of an embodiment of the overall benefit analysis after optimization of the present invention. DETAILED DESCRIPTION
[0022] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.
[0023] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and the like are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", and the like may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.
[0024] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood by specific circumstances. Example
[0025] See also Figure 1-Figure 8 The present invention provides a simulation analysis and optimization method for AGV logistics distribution, the method comprising: S1: Basic data collection: mainly including layout information, product information, process information, production factor information, and material flow information; In S1, after collecting layout information, product information, process information, production factor information, and material flow information, the battery line AGV logistics simulation planning plan is sorted out and the overall architecture is designed.
[0026] In production and logistics, the following operations need to be performed: Basic data: standardize layout information, product information, process information, production factor information, material flow information, standardize the types of materials, required material quantities, and cache quantities for the connection between battery cell equipment and AGV; Process route: standardize the processing equipment, processing time and processing steps connected with AGV; Production planning: Generate daily plans and shifts based on historical data forecasts, production orders and inventory status; Shift schedule: Based on the daily production plan, suggest shift duration and schedule for production staff; Production line layout: design production line production equipment, cache racks, production personnel positions and secondary warehouse locations; AGV movement line: set the AGV operation route, operation plan, docking point, charging area and rotation point; Cache rack: Design cache rack capacity and AGV capacity based on material objects; AGV operation parameters: design AGV no-load and full-load operation speed, acceleration, deceleration, AGV no-load and full-load power usage speed, charging speed, charging logic, AGV operation and obstacle avoidance logic; The above is the preliminary preparation work for the simulation model, which provides data and strategy support for the subsequent construction of the simulation model.
[0027] S2: basic data set, building a simulation planning scheme for AGV logistics of electric core lines; To further explain, sort out the simulation planning scheme of AGV logistics of battery core line: sort out the logistics planning route of AGV of battery core line according to layout, process, material flow and other information based on S1; S3: Based on the AGV logistics simulation planning scheme of the battery line, an AGV logistics simulation planning scheme model is built to obtain an AGV logistics simulation model; S4: According to the AGV logistics simulation model, the secondary warehouse, line-side buffer rack, equipment processing parameters, AGV operation parameters and the action flow of auxiliary personnel are simulated to evaluate the AGV logistics simulation model, and the rationality and optimization space of the AGV logistics planning simulation plan are analyzed to obtain the optimized simulation plan. By importing the factory production line layout, the authenticity of the simulation is increased; According to the simulation optimization plan, the feasibility of simulation and optimization cost are analyzed and the AGV logistics scheduling method is generated.
[0028] S5: Simulate the feasibility of the optimization plan based on the simulation: By simulating the optimization plan, the AGV utilization rate and production capacity are output to evaluate the feasibility of the optimization plan; by comparing and analyzing the optimization plan with the original planning plan, the AGV logistics distribution strategy and quantity are adjusted to reduce the planning cost while meeting the production capacity requirements.
[0029] In this embodiment, during the simulation process of the AGV logistics simulation planning model, when there are multiple materials that need to be transported at the same time, the priority of the AGV material transporting task is judged, and the task with high priority is selected for transportation; if there are multiple AGVs called at the same time, the appropriate AGV is selected according to the distance between the AGV and the transported material; if there is no AGV available, wait for an idle AGV to appear before executing material transportation.
[0030] In the above scheme, by adding the handling conditions of the AGV trolley in the simulation process, the rationality of the AGV logistics planning scheme can be verified, risks can be quickly identified before the project is implemented, and the AGV logistics scheme can be optimized. Specifically: In the continuous production process, the AGV logistics scheduling system strategy is distributed according to the predetermined rules; the predetermined rules include: The production equipment consumes materials according to the beat, and determines in real time whether distribution is needed. If so, the AGV is called to determine whether there is an idle AGV. If so, the nearest AGV is dispatched to transport the materials to the required location; if not, wait for an idle AGV to appear. By adding the handling conditions of the AGV in the simulation process, the rationality of the AGV logistics planning scheme can be verified, and risks can be quickly identified before the project is implemented, and the AGV logistics scheme can be optimized.
[0031] In the specific implementation process, during the simulation of the AGV logistics simulation planning scheme, when multiple materials need to be transported at the same time, the priority of the AGV material transport task is judged, and the task with high priority is selected for transportation; if there are multiple AGVs that can be called at the same time, the appropriate AGV is selected according to the distance between the AGV and the transported material; if there is no AGV that can be called, wait for an idle AGV to appear before performing material transportation.
[0032] In the specific implementation process, during the simulation of the AGV logistics simulation planning scheme, the AGV needs to judge in real time whether there is an AGV car in front of it to avoid collision of AGV cars.
[0033] The above solution ensures the completion of the production plan and maximizes the use of AGV, thus achieving the goal of reducing costs.
[0034] Taking the above simulation model as an example, in the process of planning AGV, AGV is mainly divided into the following three types: Double lift AGV; Single cantilever AGV; Backpack AGV; Optimization plan: The negative electrode coating unloading and negative electrode roller pressing loading in the double lift AGV share one AGV, from 2 to 1; The positive electrode cutting and coiling loading vehicles in the single cantilever AGV share 3 AGVs, from 4 to 3; Rerun the simulation model, such as Figure 6 , Figure 7 As shown, Figure 6 This is a schematic diagram of the output capacity after optimization, which clearly shows that the planning target can be achieved; Figure 7 This is a schematic diagram of the utilization of the AGV after optimization. It can be clearly seen that the utilization of the AGV at the negative electrode roller pressing and loading and the positive electrode cutting and coiling loading is increased after optimization and can meet the transportation tasks.
[0035] In the specific implementation process, the logistics distribution route of the battery cell AGV is complex and long, involving interactions with equipment, cache racks, personnel, secondary warehouses, and spare parts areas. It is necessary to determine whether the AGV has completed the daily production plan, and the result is determined by the simulation model data output results.
[0036] In the specific implementation process, the AGV logistics simulation plan is modeled, which includes: Input the factory production line layout into the simulation software, import the production equipment, secondary warehouse, line-side buffer rack, AGV operation parameters and auxiliary personnel's action flow based on the basic data panel of the simulation model, and output statistical information to help evaluate the AGV logistics simulation model.
[0037] During the specific implementation process, the AGV logistics simulation model is evaluated, including: Pie chart of all AGV utilization status and daily production capacity achievement.
[0038] In the specific implementation process, the output AGV utilization rate refers to the proportion of AGV vehicle handling task time in the entire working time, and the production capacity refers to the number of battery cells produced per day. Example
[0039] Based on Example 1, a simulation model of a certain electric core line AGV planning logistics distribution is used as an example to illustrate: Data collection information such as Figure 2 The simulation model and operation process are shown in Figure 3 As shown, Figure 3 Schematic diagram of the operation of the AGV logistics distribution simulation scenario for battery line planning.
[0040] Output the capacity and AGV utilization results from the model, such as Figure 4 , Figure 5 As shown, Figure 4 This is a schematic diagram of the output capacity during the planning period. The simulation time obtained is 144,000 seconds, which is about 2 working days. It can be seen from the figure that the planning target can be achieved; Figure 5 This is a schematic diagram of the AGV utilization rate during the planning period. It can be seen from the figure that the AGV utilization rate is low at the negative electrode roller pressing and loading and the positive electrode cutting and coiling and loading.
[0041] like Figure 8 As shown, Figure 8 This is a schematic diagram of the overall benefit analysis after optimization. It can be seen from the figure: 1. The use of AGV in coating, rolling, unwinding and slitting, cutting and assembly can reduce 16 people per day, saving about 1.6 million yuan per year.
[0042] 2. A total of 23 AGVs were used at a cost of RMB 8.05 million, with an estimated payback period of 5.03 years.
[0043] It can be seen that after the plan was adjusted, it not only ensured the completion of the production plan, but also ensured the maximum use of AGV, achieving the goal of reducing costs.
[0044] The present invention builds a simulation model of electric core line AGV logistics distribution as a way to simulate project implementation. According to the planning scheme, the simulation outputs quantitative data and a visual interactive model to quickly verify the rationality of the AGV logistics planning scheme. It can quickly identify risks before the project is implemented, optimize the AGV logistics scheme, and help the project to be implemented safely and efficiently, thereby reducing planning costs. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
Claims
1. A simulation analysis and optimization method for AGV logistics distribution, characterized in that: The method comprises: Based on the basic data set, a simulation planning scheme for the AGV logistics of electric core lines is constructed; Based on the AGV logistics simulation planning scheme of the electric core line, an AGV logistics simulation planning scheme model is built to obtain an AGV logistics simulation model; According to the AGV logistics simulation model, the secondary warehouse, line-side buffer rack, equipment processing parameters, AGV operation parameters and the action flow of auxiliary personnel are simulated, the AGV logistics simulation model is evaluated, and the rationality and optimization space of the AGV logistics planning simulation plan are analyzed to obtain the optimized simulation plan; According to the simulation optimization plan, the feasibility of simulation and optimization cost are analyzed and the AGV logistics scheduling method is generated.
2. The simulation analysis and optimization method for AGV logistics distribution according to claim 1 is characterized in that: During the simulation process of the AGV logistics simulation planning model, when there are multiple materials that need to be transported at the same time, the priority of the AGV material transporting task is determined, and the task with the higher priority is selected for transporting; if there are multiple AGVs called at the same time, the AGV is selected based on the distance between the AGV and the transported material; if there is no AGV available, wait for an idle AGV to appear before performing material transport.
3. The simulation analysis and optimization method for AGV logistics distribution according to claim 2 is characterized in that: During the simulation process of the AGV logistics simulation planning model, the models of the AGV vehicles include at least a double-lift AGV, a single-cantilever AGV and a backpack AGV.
4. The simulation analysis and optimization method for AGV logistics distribution according to claim 1 is characterized in that: The construction of the AGV logistics simulation planning model includes: Input the factory production line layout into the simulation software, import the production equipment, secondary warehouse, line-side cache rack, AGV operation parameters and the action flow of auxiliary personnel based on the basic data module of the AGV logistics simulation model, output statistical information, and build an AGV logistics simulation planning model.
5. The simulation analysis and optimization method for AGV logistics distribution according to claim 1 is characterized in that: The AGV logistics scheduling method performs distribution according to preset rules; the preset rules include: production equipment consumes materials according to the rhythm, responds to distribution, calls the AGV car, and determines whether there is an idle AGV car. If so, the nearest AGV car is dispatched to transport the materials to the required location. If not, wait for an idle AGV car to appear.
6. The simulation analysis and optimization method for AGV logistics distribution according to claim 1 is characterized in that: The basic data set includes layout information, product information, process information, production factor information and material flow information.
7. The simulation analysis and optimization method for AGV logistics distribution according to claim 6 is characterized in that: The method further comprises preprocessing the basic data set, wherein the preprocessing comprises: Standardize layout information, product information, process information, production factor information and material flow information.
8. The simulation analysis and optimization method for AGV logistics distribution according to claim 1 is characterized in that: The evaluation of the AGV logistics simulation model includes a pie chart of the utilization status of all AGVs and the daily production capacity achievement.