Carrier design method and system of multi-chip assembly automatic assembly production line

Abstract

The invention provides a carrier design method and system for a multi-chip assembly automatic assembly production line, and the method comprises the steps: building a carrier design general model; establishing a carrier use environment model; establishing a constraint rule set; establishing a constraint rule model: converting a rule subset in the constraint rule set into a model used in computer software; a carrier reference template is selected from the established carrier general model set based on a product to be loaded, element confirmation and element parameter adjustment are completed, and the carrier initial model is formed; checking and optimizing the initial model of the carrier: calling the constraint rule model to check and optimize the initial model of the carrier; and warehousing the carrier model: storing and warehousing the examined and optimized carrier initial model. According to the method, the carrier design efficiency and success rate can be remarkably improved, the experience requirement of carrier design on developers is reduced, and the production line operation effect is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of integrated circuit packaging, and in particular to a carrier design method and system for a multi-chip module (MCM) automatic assembly production line. BACKGROUND

[0002] A multi-chip module (MCM) is a microelectronic assembly that assembles and interconnects bare chips, discrete components, and other components on a high-density interconnection substrate to realize certain functions, and has the characteristics of high density, high performance, and high reliability. To meet the demand for increasing production capacity and shortening the production cycle of MCMs, an MCM automatic assembly production line is usually established, which includes automatic assembly equipment such as an automatic dispensing machine, and production devices such as an online logistics track connected to the automatic assembly equipment. When producing MCMs using the above production line, the MCM products cannot be directly placed on the automatic assembly production line for circulation, and a suitable carrier needs to be designed and processed to load the MCM products in the carrier, and the carrier drives the MCM products to circulate on the automatic assembly equipment and the online logistics track therebetween, so as to realize the smooth operation of the MCM automatic assembly production line.

[0003] During the carrier design process, the product characteristics, the processing requirements of various automatic equipment, and the transportation capacity requirements of the online logistics track need to be met, and the carrier design should be compatible with the loading requirements of various products as much as possible, resulting in high complexity of the carrier design for the MCM automatic assembly production line, long carrier design cycle, and low first-time success rate. The carrier design quality and design cycle often become key factors that restrict the operation efficiency of the MCM automatic assembly production line. With the increasing types of MCMs for automatic assembly production, the demand for carriers for the automatic assembly production line gradually increases, and the carrier design method relying on experience cannot meet the efficiency requirements of MCM production.

[0004] To improve the operational efficiency of automated assembly lines, it is necessary to improve existing fixture design methods and establish a systematic, automated, and standardized fixture design system to shorten the fixture design cycle and ensure fixture design quality. Chinese Patent CN1766888A discloses a mold design system and method, which mainly involves parametric design of the mold design process and modification of the corresponding parameters of the designed mold relative to the standard mold. Chinese Patent CN105101667B discloses a simplified layout and routing method for a printed circuit board circuit board (PCB) circuit board using a wave soldering process. For PCBs using a wave soldering process with a fixture, a simulated fixture model is established during PCB layout and routing. Analysis of the fixture model allows for timely checks and corrections to ensure the PCB meets process requirements. Chinese Patent CN103551464B discloses an interactive mold design method and system, which includes calling a standardized stamping process pre-processing module and a parametric mold structure template based on an interactive interface system, replacing standardized elements to obtain a new mold structure.

[0005] The aforementioned patents demonstrate that in the field of automated assembly, establishing an automated vehicle design system can improve vehicle design efficiency and quality, thereby enhancing the efficiency of automated assembly production lines. However, for various types of multi-chip component products and automated production equipment based on different principles, rapidly designing vehicles that can be used across the entire production line and adapt to various automated production equipment assembly methods remains a challenge.

[0006] Therefore, this invention proposes a carrier design method and system for an automated assembly production line for multi-chip components, which can realize automated, systematic and standardized carrier design, ensure carrier design quality, improve the first-time success rate of carrier design, shorten the carrier design cycle, and provide carrier support for improving the efficiency of automated assembly production of multi-chip components. Summary of the Invention

[0007] This application provides a carrier design method and system for an automated assembly production line for multi-chip components. It can realize automated, systematic and standardized carrier design, ensure carrier design quality, improve the first-time success rate of carrier design, shorten the carrier design cycle, and provide carrier support for improving the efficiency of automated assembly production of multi-chip components.

[0008] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.

[0009] According to a first aspect of the embodiments of this application, a carrier design method for an automated assembly line for multi-chip components is provided, including: Establish a general model for vehicle design: This includes establishing a product model set and a general vehicle model set; wherein, the product model set is a set of models generated by computer software, targeting typical products and containing necessary product elements, and the general vehicle model set includes a subset of vehicle element models and a subset of typical product vehicle models; Establish a vehicle usage environment model: This includes establishing a geometric structure model and a usage function model; wherein, the geometric structure model is the environmental model involved when the vehicle is in use, including an online logistics transmission geometric structure model, a static environment model of the equipment platform, and a dynamic environment model of the equipment platform; the usage function model includes a load-bearing model, a temperature control model, and a vehicle identification code availability model; Establish a set of constraint rules: This includes establishing a subset of vehicle design rules, a subset of three-dimensional dimension constraint rules for loaded products, a subset of vehicle motion interference constraint rules, and a subset of vehicle usage function constraint rules; Establish a constraint rule model: Transform a subset of rules in the constraint rule set into a model used in computer software; Establish the initial vehicle model: Based on the product to be loaded, select the vehicle reference template from the established general vehicle model set, and complete the element confirmation and element parameter adjustment to form the initial vehicle model; Initial vehicle model review and optimization: The constraint rule model is invoked to review and optimize the initial vehicle model; Vehicle Model Storage: Save the reviewed and optimized initial vehicle models into the storage.

[0010] According to embodiments of this application, the subset of vehicle element models includes at least a plate structure model, a hole structure model, a boss structure model, an identification code model, a clamping structure model, and a positioning pin model constituting the vehicle model; the subset of typical product vehicle models includes vehicle models developed for selected typical products.

[0011] According to embodiments of this application, the establishment of subsets of vehicle design rules, subsets of three-dimensional dimensional constraint rules for loaded products, subsets of vehicle motion interference constraint rules, and subsets of vehicle usage function constraint rules specifically includes: The subset of vehicle design rules includes at least the vehicle's geometric requirements, center of gravity distribution requirements, surface treatment requirements, and area utilization requirements. The subset of three-dimensional dimensional constraint rules for the loaded product includes at least the clamping force constraint of the carrier, the interference constraint of the product loading process, the constraint of the loading method of the product in the carrier, and the overall height constraint after loading. The subset of vehicle motion interference constraint rules includes at least the motion interference constraints of the vehicle after loading products within the logistics transmission device and the motion interference constraints of the vehicle after loading products inside the equipment. The subset of vehicle usage function constraint rules includes at least weight constraints, vehicle identification code availability constraints, and temperature control constraints.

[0012] According to embodiments of this application, the step of transforming a subset of rules in the constraint rule set into a model used in computer software specifically includes: A basic constraint rule model for vehicle design is established based on a subset of vehicle design rules, including the construction of rules for geometric structure requirements, center of gravity distribution requirements, surface treatment requirements, and area utilization requirements; among which, Geometric requirements include the external dimensions of the construction vehicle, the dimensions of the product to be loaded, and the rules for determining the permissible dimensions of the online logistics transmission device; The center of gravity distribution requirement refers to the vehicle itself being centered; Surface treatment requirements include the surface roughness and color requirements of the vehicle. The area utilization requirement means that, under the premise of meeting the center of gravity distribution requirements, the unused area inside the vehicle is not allowed to be greater than or equal to the area required to load a single product. According to embodiments of this application, the step of transforming a subset of rules in the constraint rule set into a model used in computer software specifically includes: A three-dimensional dimensional constraint rule model for product loading on a vehicle is established based on a subset of the three-dimensional dimensional constraint rules for the loaded product. This model includes a clamping force constraint rule model, an interference constraint rule model for the product loading process, a constraint rule model for the product loading method within the vehicle, and a constraint rule model for the overall height after loading. The clamping force constraint rule model stipulates that the clamping force formed after clamping the product in the carrier with a specific clamping force action mode must be greater than the minimum clamping force required during the product clamping process and less than the maximum clamping force that the product can withstand during the clamping process. The interference constraint rule model for the product loading process stipulates that the geometry of the product and the geometry of the vehicle are not allowed to interfere with each other during the loading process. The constraint rule model for the loading method of the product within the vehicle is that the overall center of gravity of the product after loading within the vehicle is within a preset range of the central area; The overall height constraint rule model after loading includes the determination rule that the overall height of the product after loading onto the carrier is less than the maximum height allowed by the production equipment required in the product production process.

[0013] According to embodiments of this application, the step of transforming a subset of rules in the constraint rule set into a model used in computer software specifically includes: A vehicle motion interference constraint rule model is established based on a subset of vehicle motion interference constraint rules, including a motion interference constraint rule model for a vehicle loaded with products within a logistics transmission device, and a motion interference constraint rule model for a vehicle loaded with products inside the equipment; among which... The motion interference constraint rule model for the vehicle after loading products within the logistics transmission device includes rules for determining whether the vehicle will get stuck, collide, tilt, or fall off during its movement within the logistics transmission device. The motion interference constraint rule model for the vehicle after loading the product inside the equipment includes rules for determining whether motion interference occurs in the vehicle after loading the product inside the equipment.

[0014] According to embodiments of this application, the step of transforming a subset of rules in the constraint rule set into a model used in computer software specifically includes: A vehicle usage function constraint rule model is established based on a subset of vehicle usage function constraint rules, including a weight constraint rule model, a vehicle identification code availability constraint rule model, and a temperature control constraint rule model; among them; The weight constraint rule model includes rules for determining whether the sum of the weights of all vehicles and products carried by logistics devices and production equipment when they are running at full load is less than the set maximum weight requirement. The vehicle identification code availability constraint rule model includes rules for determining whether the relationship between the vehicle identification code and the barcode scanner meets the requirements during vehicle movement. The temperature control constraint rule model includes rules for determining whether a vehicle carrying a product meets temperature control requirements during production and use.

[0015] According to an embodiment of this application, the step of selecting a vehicle reference template from the established set of general vehicle models based on the product to be loaded specifically includes: Determine the characteristic parameters of the product to be loaded; The characteristic parameters of the product to be loaded are compared with the characteristic parameters of each vehicle in the general vehicle model set, and the comparison results of each characteristic parameter are weighted to obtain the weighted comparison result. The vehicle model corresponding to the highest weighted comparison result is retrieved from the general vehicle design model library and used as the benchmark template.

[0016] According to embodiments of this application, the completion of element confirmation and element parameter adjustment specifically includes: The baseline template is analyzed to identify whether the element content is complete. If the elements are insufficient, the missing elements are called from the general model set of vehicle design. If the elements are redundant, the redundant elements are deleted. Adjust the three-dimensional parameters of the vehicle elements; The baseline template, whose vehicle element integrity has been verified, and the vehicle elements whose element parameters have been adjusted are combined to form the initial vehicle model. According to embodiments of this application, the specific process of initial vehicle model review and optimization includes: Call all established constraint rule models and check the initial vehicle model; For any items that fail the inspection, the parameters of each element in the initial model of the vehicle are adjusted. After the adjustment is completed, the inspection is conducted again until the inspection result is approved.

[0017] According to a second aspect of the embodiments of this application, a carrier design system for an automated assembly line of multi-chip components is provided, implemented based on the carrier design method for an automated assembly line of multi-chip components described in the first aspect, comprising: The general model set management module is used to build and manage the general model set for vehicle design, including the product model set and the general vehicle model set. The general vehicle model set contains a subset of vehicle element models and a subset of typical product vehicle models. The vehicle usage environment model management module is used to build and manage vehicle usage environment models, including environmental geometry models and vehicle usage function models. The vehicle constraint rule modeling and management module is used to extract vehicle usage constraint rules and build corresponding models. The vehicle initial model generation module is used to create initial vehicle models and manage them. The vehicle initial model review and optimization module is used to review and optimize the initial model of the vehicle. The vehicle model import management module is used to import the created vehicle models into the database, including vehicle model naming and storage.

[0018] Compared with existing technologies, the beneficial effects of adopting the above technical solution are as follows: This invention enables the rapid generation of carriers suitable for the operational needs of all automated assembly equipment on the entire multi-chip component automated assembly production line. This significantly improves the design efficiency and success rate of carriers for multi-chip component automated assembly production lines, effectively shortens the carrier design cycle, and reduces the operating costs of multi-chip component automated assembly production lines caused by excessively long design cycles or unreasonable designs. Simultaneously, it reduces the experience requirements for developers in carrier design, improving production line operation efficiency. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0020] Figure 1 This is a flowchart illustrating the carrier design method for an automated assembly production line for multi-chip components proposed in this application.

[0021] Figure 2 This is a schematic diagram of the process for obtaining target values ​​for parameter adjustment based on data analysis using a genetic algorithm, as proposed in an embodiment of this application.

[0022] Figure 3 This is a schematic diagram of the carrier design system for the automated assembly production line for multi-chip components proposed in an embodiment of this application. Detailed Implementation

[0023] The embodiments of this application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar modules or modules having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application. Rather, the embodiments of this application include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0024] To address the problems in the background art, this application proposes a carrier design method for an automated assembly production line for multi-chip components. This method enables automated, systematic, and standardized carrier design, ensuring carrier design quality, improving the first-pass success rate of carrier design, and shortening the carrier design cycle, thus providing carrier support for improving the efficiency of automated assembly production of multi-chip components. Please refer to... Figure 1 Specifically, it includes the following steps: S101. Establish a general model for vehicle design.

[0025] In this embodiment, the general vehicle design model mainly includes a product model set and a general vehicle model set.

[0026] Specifically, a product model set is a group of models generated by computer software, targeting typical products and containing necessary product elements. The computer software includes, but is not limited to, 3D modeling software and EDA software; the typical product refers to a group of products selected by the vehicle designer based on specific elements, including, but not limited to, production volume ranking, product performance indicators, and product physical structure; necessary product elements include, but are not limited to, product 3D dimensions, material properties, and weight. In this embodiment, the product model set can be established by calling existing product models or by creating new models before vehicle design.

[0027] Furthermore, the general vehicle model mainly includes a subset of vehicle element models and a subset of typical product vehicle models. In this embodiment, the subset of vehicle element models includes at least the plate structure model, hole structure model, boss structure model, identification code model, clamping structure model, and locating pin model that constitute the vehicle model. The subset of typical product vehicle models includes vehicle models developed for selected typical products.

[0028] Specifically, the plate structure model includes, but is not limited to, length, height, width, surface treatment requirements, and material data. The hole structure model includes, but is not limited to, data on the relative positions of holes on the base, hole diameter, and hole depth. The boss structure model includes a boss base model, a protruding block model, a mounting hole model, and material and surface treatment requirements. Specifically, the boss base model includes, but is not limited to, the boss base's length, height, and width data; the protruding block model includes, but is not limited to, the protruding block's length, height, width, and relative position data on the boss base; the mounting hole model includes, but is not limited to, the mounting hole's diameter, depth, and relative position data on the boss base; and the material and surface treatment requirements include, but are not limited to, material density requirements, material thermal conductivity requirements, and surface coating requirements. The identification code model includes, but is not limited to, the identification code's length, height, width, installation position, and the encoding system used. The clamping structure model includes, but is not limited to, a limiting structure model and a clamping device structure model. The limiting structure model includes, but is not limited to, the limiting block's height, width, length, material, and installation method data; and the clamping device structure model includes, but is not limited to, height, width, length, and spring model data. The locating pin model includes, but is not limited to, relative position data on the base, hole diameter, and hole depth data.

[0029] S102. Establish a vehicle usage environment model.

[0030] In this embodiment, the vehicle usage environment model mainly includes a geometric structure model and a usage function model.

[0031] Specifically, the geometric structure model includes, but is not limited to, the online logistics transmission geometric structure model, the static environment model of the equipment platform, and the dynamic environment model of the equipment platform. In this embodiment, the geometric structure model involved can be developed using CATIA or equivalent 3D modeling software. The composition of each geometric mechanism model mentioned in this embodiment is described in detail below: The online logistics transmission geometric model includes, but is not limited to, the geometric structure and dimensional information of logistics transmission devices such as automatic loading machines, automatic unloading machines, online logistics tracks, material lifting devices, and material rotating devices, as well as the installation angle and height data of the automatic barcode scanners installed in the aforementioned logistics transmission devices.

[0032] Generally, a machine table includes, but is not limited to, the machine's worktable surface, internal tracks, clamping jaws, and vacuum suction holes. Therefore, the static environment model of the machine table includes, but is not limited to, the location and geometric dimensions of the worktable surface, internal tracks, clamping jaws, and vacuum suction holes. The dynamic environment model of the machine table is built upon the static model and includes, but is not limited to, the motion paths and speed data of the moving mechanisms.

[0033] In this embodiment, the functional model includes a load-bearing model, a temperature control model, and a vehicle identification code availability model. The load-bearing model can be developed using CATIA or equivalent 3D modeling software; the temperature control model can be developed using ANSYS or equivalent finite element analysis software; and the vehicle identification code availability model can be developed using CATIA or equivalent 3D modeling software.

[0034] Specifically, the load-bearing model includes, but is not limited to, the vehicle's own weight, the weight it can bear, and the vehicle's center of gravity position. The temperature control model includes the vehicle's own temperature characteristics model and the ambient temperature control model. The vehicle's own temperature characteristics model includes, but is not limited to, the vehicle's thermal conductivity and the uniformity of the internal temperature field distribution. The ambient temperature control model includes, but is not limited to, data on the temperature rise time and rate, temperature fall time and rate, temperature hold time, and corresponding temperature values ​​for areas with temperature control requirements. The vehicle identification code availability model includes, but is not limited to, data on the identification code position when the vehicle passes through the automatic scanning area, the automatic barcode scanner's scanning parameters, and the size of the area that the automatic barcode scanner can effectively scan.

[0035] S103. Establish a set of constraint rules.

[0036] In this embodiment, the constraint rule set mainly includes a subset of vehicle design rules, a subset of three-dimensional dimension constraint rules for loaded products, a subset of vehicle motion interference constraint rules, and a subset of vehicle usage function constraint rules.

[0037] (1) In this embodiment, the carrier design rule set includes, but is not limited to, geometric structure requirements, center of gravity distribution requirements, surface treatment requirements, and area utilization requirements. Among them, geometric structure requirements include, but are not limited to, the carrier's external dimensions being larger than the external dimensions of the product to be loaded, and the carrier's external dimensions being smaller than the dimensions allowed by the online logistics transmission device; the center of gravity distribution requirement means that the center of the carrier itself should be centered; the surface treatment requirements include, but are not limited to, the surface roughness and surface color requirements of the carrier; the area utilization requirement means that, under the premise of meeting the center of gravity distribution requirements, the unused area inside the carrier is not allowed to be greater than or equal to the area required to load a single product, and the unused area refers to the area inside the carrier where no product is placed or other structures required for fixing the product are needed.

[0038] (2) The subset of rules for the three-dimensional dimension constraints of the product loaded by the vehicle includes, but is not limited to, clamping force constraints, interference constraints during the product loading process, constraints on the loading method of the product in the vehicle, and overall height constraints after loading.

[0039] In this embodiment, the clamping force constraint includes, but is not limited to, the minimum clamping force required during the product clamping process, the maximum clamping force that the product can withstand during the product clamping process, and the mode of action of the clamping force during the product clamping process. The mode of action of the clamping force includes, but is not limited to, overall clamping of the force-bearing surface and local point clamping of the force-bearing surface.

[0040] Interference constraints during product loading refer to the prohibition of interference between the product's geometry and the carrier's geometry during the loading process, which would prevent the product from being loaded into the carrier.

[0041] Furthermore, the constraints on the way the product is loaded within the vehicle include, but are not limited to, the requirement for a centered center of gravity. The requirement for a centered center of gravity means that after the product is loaded within the vehicle, the overall center of gravity of the product and the vehicle should be in the central area of ​​the vehicle.

[0042] Furthermore, the overall height constraint after loading refers to the requirement that the overall height of the product after loading onto the carrier should be less than the maximum height allowed by the production equipment used in the product manufacturing process, and the minimum height of the product's processing area should be greater than the minimum height allowed by the production equipment. Specifically, the overall height of the product after loading onto the carrier refers to the height difference between the lowest and highest points of the product in the vertical direction after loading the product inside the carrier; the minimum height of the product's processing area refers to the height difference between the lowest point of the processing area and the lowest point of the overall structure; the maximum height allowed by the production equipment refers to the maximum height difference between the highest point of the product to be processed and the horizontal plane of the equipment's worktable that the production equipment can accept for normal product processing; and the minimum height allowed by the production equipment refers to the minimum height difference between the lowest point of the product to be processed and the horizontal plane of the equipment's worktable that the production equipment can accept for normal product processing.

[0043] (3) The subset of vehicle motion interference constraint rules includes motion interference constraints of vehicles loaded with products within the logistics transmission device and motion interference constraints of vehicles loaded with products inside the equipment.

[0044] Specifically, the motion interference constraints on the carrier after product loading within the logistics transmission device include, but are not limited to, preventing jamming, collision, tilting, and falling. The logistics transmission device includes, but is not limited to, logistics tracks, automatic loading machines, automatic unloading machines, material lifting devices, material translation devices, and material connecting devices. Material connecting devices refer to the devices used to achieve stable material movement between the logistics track and the automatic loading machine, the logistics track and the automatic unloading machine, the logistics pusher and the material lifting device, and the logistics track and the material translation device.

[0045] The motion interference constraints of the carrier within the equipment after product loading include motion interference constraints during non-processing processes and motion interference during equipment processing. Specifically, the non-processing motion interference constraints within the equipment prevent interference between the carrier and the internal tracks during the carrier's movement. The processing motion interference constraints prevent interference between the equipment's moving mechanisms and the carrier / product during processing. In this embodiment, interference includes, but is not limited to, collisions and jamming.

[0046] (4) The vehicle usage function constraint subset mainly includes weight constraints, vehicle identification code availability constraints, and temperature control constraints.

[0047] Specifically, weight constraints mean that the sum of the weights of all vehicles and products carried by logistics devices and production equipment when operating at full load should be less than a certain percentage of the maximum load-bearing requirements of the logistics device and the maximum load-bearing requirements of the production equipment.

[0048] The availability constraints of vehicle identification codes include the matching requirements between the code's movement path and the barcode scanner's range, and the matching requirements between the code's parameters and the barcode scanner's parameters. Specifically, the matching requirement between the code's movement path and the barcode scanner's range means that the identification code area of ​​the vehicle carrying the product must pass through or remain within the barcode scanner's scannable range during its movement. The matching requirement between the code's parameters and the barcode scanner's parameters means that the code's encoding system, color, size, and manufacturing precision must meet the barcode scanner's requirement for accurate decoding within a specific time period. This specific time period refers to the time the identification code passes through or remains within the barcode scanner's scannable range.

[0049] Temperature control constraints include heating control requirements and cooling control requirements. Heating control requirements mean that the time a vehicle carrying the product stays in a designated heating device should be greater than the minimum time required for the temperature to rise to the target temperature value under normal operating conditions of the heating device. Cooling control requirements mean that the time a vehicle carrying the product stays in a designated cooling device should be greater than the minimum time required for the temperature to drop to the target temperature value under normal operating conditions of the cooling device.

[0050] S104. Establish a constraint rule model.

[0051] In this embodiment, the process of establishing a constraint rule model refers to converting the constraint rule set in S103 into numerical values, rules, mathematical formulas, or models developed based on computer software that can be applied in computer software. The computer software involved includes, but is not limited to, CATIA and ANSYS.

[0052] Specifically, establishing the constraint rule model includes establishing a basic constraint rule model for vehicle design, establishing a three-dimensional dimension constraint rule model for the loaded product, establishing a motion interference constraint rule model for the vehicle, and establishing a functional constraint rule model for the vehicle.

[0053] (1) Establishing a basic constraint rule model for vehicle design includes, but is not limited to, the model construction of geometric structure requirements, center of gravity distribution requirements, surface treatment requirements, and area utilization requirements. Among these, the geometric structure requirement rule construction refers to establishing judgment rules in computer software. The judgment rule is that if the vehicle's external dimensions are greater than the external dimensions of the product to be loaded, it passes; otherwise, it fails. If the vehicle's external dimensions are less than the dimensions allowed by the online logistics transmission device, it passes; otherwise, it fails. In this embodiment, the specific values ​​of the vehicle's external dimensions, the external dimensions of the product to be loaded, and the dimensions allowed by the online logistics transmission device are either manually obtained and input into the computer software or calculated by the computer software and then input into the computer software. (2) Establishing a three-dimensional dimensional constraint rule model for product loading in a vehicle refers to establishing judgment rules in computer software, including but not limited to the construction of clamping force constraint rule models, product loading process interference constraint rule models, product loading method constraint rule models, and overall height constraint rule models after loading. Specifically, this includes: The clamping force constraint rule model construction refers to establishing judgment rules in computer software. These rules stipulate that the clamping force formed after clamping the product in the carrier under a specific clamping force application method must be greater than the minimum clamping force required during the product clamping process and less than the maximum clamping force that the product can withstand during the clamping process. In this embodiment, the specific clamping force application method includes overall clamping of the force-bearing surface or local point clamping of the force-bearing surface, which can be set by computer software. The specific values ​​of the clamping force formed after clamping, the minimum clamping force required during the product clamping process, and the maximum clamping force that the product can withstand during the clamping process can be obtained by manual measurement or computer software simulation calculation and then input into the computer software.

[0054] The construction of the interference constraint rule model for the product loading process refers to establishing judgment rules in computer software. These rules stipulate that during the loading of the product onto the carrier, the product's geometry must not interfere with the carrier's geometry; no interference results in a pass, while interference results in a fail. In this embodiment, the product's geometry is obtained by analyzing the product's 3D model, and the carrier's geometry is obtained by analyzing the carrier's 3D model. The judgment process is performed by the computer software based on the judgment criteria. In one embodiment, the judgment criteria can be manually compiled and then input into the computer software for application.

[0055] The model construction of the constraint rule for product loading within a vehicle refers to establishing judgment rules in computer software. These rules stipulate that the overall center of gravity of the product after loading within the vehicle should be within a preset range in the central area. In this embodiment, the preset range can be manually determined and then input into the computer software. The judgment process involves the computer software analyzing the model of the vehicle and the product, comparing it with the manually input range. If the range meets the manually input preset range requirement, the judgment is considered successful; otherwise, it is considered unsuccessful.

[0056] The construction of the overall height constraint rule model after loading refers to establishing a determination rule in computer software that the overall height of the product after being loaded onto the carrier should be less than the maximum height allowed by the production equipment required in the product manufacturing process. Here, the overall height of the product after being loaded onto the carrier refers to the height difference between the lowest and highest points of the product in the vertical direction after it is loaded inside the carrier to form a whole. The maximum height requirement allowed by the production equipment refers to the maximum height difference between the highest point of the product to be processed and the horizontal plane of the equipment's worktable, which is acceptable for the production equipment to complete normal product processing. In this embodiment, the overall height of the product after being loaded onto the carrier is calculated by computer software based on the model of the loaded carrier. The maximum height allowed by the production equipment required in the product manufacturing process is obtained manually by analyzing each piece of equipment and then inputting the specific values ​​into the computer software. Specifically, the judgment rules in this embodiment include two items: i) if the overall height of the product after being loaded onto the carrier is less than the maximum height allowed by the production equipment required in the product production process, and the minimum height of the product's processing area is greater than the minimum height requirement allowed by the production equipment, the product is judged to pass; ii) if the overall height of the product after being loaded onto the carrier is greater than the maximum height allowed by the production equipment required in the product production process, or the minimum height of the product's processing area is less than the minimum height requirement allowed by the production equipment, the product is judged to fail.

[0057] (3) Establishing a vehicle motion interference constraint rule model includes, but is not limited to, the motion interference constraint rule model of the vehicle after loading products within the logistics transmission device and the motion interference constraint rule model of the vehicle after loading products inside the equipment.

[0058] The construction of the motion interference constraint rule model for the vehicle loaded with products within the logistics transmission device refers to establishing rules in computer software to determine whether the vehicle will get stuck, collide, tilt, or fall during its movement within the logistics transmission device. In this embodiment, the logistics transmission device includes, but is not limited to, a logistics track, an automatic loading machine, an automatic unloading machine, a material lifting device, a material translation device, and a material connecting device. The material connecting device refers to the device used to achieve stable material movement between the logistics track and the automatic loading machine, the logistics track and the automatic unloading machine, the logistics pusher and the material lifting device, and the logistics track and the material translation device. Further, the determination rules in this embodiment include two items: i) If, through computer software analysis, the vehicle will not get stuck, collide, tilt, or fall during its movement within the logistics transmission device, it is determined to pass; ii) If, through computer software analysis, the vehicle will get stuck, collide, tilt, or fall during its movement within the logistics transmission device, it is determined to fail.

[0059] The construction of the motion interference constraint rule model for the loaded vehicle within the equipment refers to establishing judgment rules in computer software to determine whether motion interference occurs within the equipment. This mainly includes two judgments: i) determining whether motion interference occurs within the equipment during non-processing processes; and ii) determining whether motion interference occurs within the equipment during processing processes. Non-processing motion interference refers to interference between the loaded vehicle and the equipment's internal track during its movement along the track. Processing motion interference refers to interference between the equipment's moving mechanism and the vehicle and product during processing. Interference includes, but is not limited to, collisions and jamming. The models of the loaded vehicle, the equipment's internal track, the motion path model of the loaded vehicle along the equipment's internal track, and the motion path model of the loaded vehicle during processing processes are all manually created in computer software. In this embodiment, the specific judgment rules include two items: i) if the carrier loaded with the product does not interfere with the movement of the device inside the equipment through computer software analysis, it is judged as passing; ii) if the carrier loaded with the product interferes with the movement of the device inside the equipment through computer software analysis, it is judged as failing.

[0060] (4) The construction of the vehicle use function constraint rule model includes, but is not limited to, the construction of the weight constraint rule model, the vehicle identification code availability constraint rule model, and the temperature control constraint rule model.

[0061] Specifically, the construction of the weight constraint rule model refers to establishing a judgment rule in computer software to determine whether the sum of the weights of all vehicles and products carried by a logistics device or production equipment during full-load operation is less than the set maximum weight requirement. The total number of vehicles carrying products during full-load operation is determined manually based on the capacity of the logistics device or equipment and input into the computer software. The sum of the weights of all vehicles and products is calculated by the computer software based on the model of each vehicle carrying products. In this embodiment, the specific judgment rules are as follows: i) If, through computer software analysis, the sum of the weights of all vehicles and products carried by the logistics device or production equipment during full-load operation is less than the set maximum weight requirement, it is judged as passing; ii) If, through computer software analysis, the sum of the weights of all vehicles and products carried by the logistics device or production equipment during full-load operation is not less than the set maximum weight requirement, it is judged as failing.

[0062] The construction of the vehicle identification code accessibility constraint rule model refers to establishing judgment rules in computer software to determine whether the relationship between the vehicle identification code and the barcode scanner meets the requirements during vehicle movement. These judgment rules include determining whether the identification code movement path matches the barcode scanner's range and whether the identification code parameters match the barcode scanner parameters. Specifically, determining whether the identification code movement path matches the barcode scanner's range involves judging whether the identification code area of ​​the vehicle carrying the product passes through or remains within the barcode scanner's scannable range during movement. The identification code movement path and barcode scanner range are manually created in the computer software. Determining whether the identification code parameters match the barcode scanner parameters involves judging whether the identification code's encoding system, color, size, and manufacturing precision meet the requirements for accurate decoding by the barcode scanner within a specific time. The specific time refers to the time the identification code passes through or remains within the barcode scanner's scannable range. The identification code parameters, barcode scanner parameters, and specific time values ​​are manually created in the computer software. In this embodiment, the specific judgment rules are as follows: i) If all the judgments on whether the identification code movement path matches the barcode scanner range and whether the identification code parameters match the barcode scanner parameters are passed by computer software analysis, the judgment is passed; ii) If any one of the judgments on whether the identification code movement path matches the barcode scanner range and whether the identification code parameters match the barcode scanner parameters is failed by computer software analysis, the judgment is failed.

[0063] The construction of a temperature control constraint rule model refers to the establishment of rules in computer software to determine whether a vehicle carrying a product meets temperature control requirements during production and use. The temperature control requirements include both heating and cooling control requirements. Heating control requires that the estimated heating time for the product-loaded vehicle to reach a specified target temperature under normal operating conditions of the heating device should be less than a predetermined time. Normal operating conditions of the heating device mean its operating power does not exceed its rated power. The specified target temperature is manually set and input into computer software, and the estimated heating time is calculated by the computer software based on the heating device parameters and the product-loaded vehicle model. The heating device parameters are manually determined and input into the computer software, and the predetermined time is manually set and input into the computer software. Cooling control requires that the estimated cooling time for the product-loaded vehicle to reach a specified target temperature under normal operating conditions of the cooling device should be less than a predetermined time. Normal operating conditions of the cooling device mean its operating power does not exceed its rated power. The specified target temperature is manually set and input into computer software, and the estimated cooling time is calculated by the computer software based on the cooling device parameters and the product-loaded vehicle model. The cooling device parameters are manually determined and input into the computer software, and the predetermined time is manually set and input into the computer software. In this embodiment, the specific judgment rules are as follows: i) If all the judgments on whether the carrier carrying the product meets the heating and cooling requirements during the production and use process are passed by computer software analysis, it is judged as passed; ii) If any one of the judgments on whether the carrier carrying the product meets the heating and cooling requirements during the production and use process is not passed by computer software analysis, it is judged as not passed.

[0064] S105. Establish the initial model of the vehicle.

[0065] In this embodiment, the process of establishing the initial model of the vehicle includes two parts: the selection of the vehicle reference template and the design of the initial model parameters.

[0066] Specifically, the process for selecting the vehicle reference template is as follows: S1051. Determine the characteristic parameters of the product to be loaded. Specifically, obtain the data of the product to be loaded, which may include, but is not limited to, geometric structure data, material data, and weight data. Geometric structure data can be obtained by searching the product model set of the general model set for vehicle design established in step S101, or by creating a new 3D model of the product. Then, extract the characteristic parameters, mainly including product number, shape, 3D dimensions, weight, etc.

[0067] S1052. Compare the characteristic parameters of the product to be loaded with the characteristic parameters of each vehicle in the general vehicle model set, and calculate a weighted comparison result by weighting the comparison results of each characteristic parameter. In this embodiment, the comparison process includes: comparing each characteristic parameter, manually assigning weight values ​​to the comparison results of each characteristic parameter, and then weighting the comparison results of each characteristic parameter to obtain the comparison result. For characteristic parameters including product number, shape, three-dimensional dimensions, and weight, the specific comparison process is as follows: ① Compare the product number applicable to the vehicle. If there is a vehicle model with the same product number in the general model set, directly call the model; otherwise, proceed to step ②. ② Compare the product shapes applicable to the vehicle. This comparison includes determining if they belong to the same shape, such as rectangle or square. If so, proceed to step ③; otherwise, proceed to step d). ③ Compare the three-dimensional dimensions and weight of the product applicable to the vehicle. The three-dimensional dimensions include length, width, and height. A similarity comparison result is generated based on comparison rules, which include length comparison methods and their weights, width comparison methods and their weights, height comparison methods and their weights, and weight comparison methods and their weights. The comparison method is the ratio of the specific parameters of the product requiring vehicle design to the specific parameters of the corresponding product in the general model set, such as the ratio of length to length. In this embodiment, the weight values ​​are greater than or equal to 0 and less than or equal to 1, and the sum of all weight values ​​equals 1. ④ Obtain the comparison results based on the comparison in step ③. The comparison results include the weighted values ​​of the comparison results and the vehicle model numbers corresponding to the products already existing in the general model set; S1053. Call the vehicle model corresponding to the highest weighted comparison result from the general vehicle design model library as the benchmark template.

[0068] Based on the completed comparison, the process for determining the benchmark template is as follows: ⑤ Select the vehicle model with the highest weighted value from the comparison results; ⑥ Based on the vehicle model selected in step ⑤, complete the design of the required vehicle model in computer software; The feature parameter comparison and calling process in the above steps can all be completed by computer software.

[0069] Furthermore, the initial model parameter design of the vehicle includes the following steps: S1054. Analyze the baseline template to identify whether the content of its elements is complete. If elements are insufficient, retrieve the missing elements from the general model set for vehicle design; if elements are redundant, delete the redundant elements.

[0070] S1055. Adjust the parameters of the vehicle elements in the computer software as needed. These parameters include, but are not limited to, three-dimensional dimensions, and the adjustment methods include, but are not limited to, increasing or decreasing parameter values.

[0071] S1056. Combine the benchmark template that has completed the integrity confirmation of vehicle elements and the vehicle elements that have completed the element parameter adjustment to form the initial vehicle model, name it and save it.

[0072] This completes the creation of the initial vehicle model.

[0073] S106. Initial vehicle model review and optimization.

[0074] In this embodiment, the constraint rule model is invoked and the initial vehicle model is reviewed mainly by computer software. The specific process is as follows: S1061. Computer software loads the initial model of the vehicle; S1062, Applicable Environment Model for Computer Software Loading Vehicle; S1063, Computer software loading constraint rule model, the constraint rule model includes the basic constraint rule model of vehicle design, the three-dimensional dimension constraint rule model of the loaded product, the vehicle motion interference constraint rule model, and the vehicle usage function constraint rule model. S1064. Computer software execution check; S1065. Generate an inspection result report. The conclusion of the inspection result report is either "pass" or "fail". "Pass" means that all rule entries that were inspected passed the inspection. The inspection result report includes, but is not limited to, the rule entries that were inspected and their inspection results.

[0075] The optimization process involves adjusting the parameters of each element in the initial vehicle model within computer software for any items that fail the inspection. After adjustment, the model is reviewed again until the inspection result is satisfactory. The elements in the initial vehicle model include, but are not limited to, vehicle structural elements and material properties; the adjustments include, but are not limited to, adjusting the parameter values ​​of each element in the initial vehicle model; the adjustment methods include, but are not limited to, manually adjusting parameter values ​​directly in computer software and adjusting target values ​​based on data analysis before adjusting the parameter values ​​of each element; data analysis includes, but is not limited to, simulation using computer simulation software.

[0076] In one embodiment, the inspection and analysis items for the initial model review and optimization of the download tool are given. In practical applications, these can be adjusted according to requirements, and specifically include: (1) Motion interference analysis: Call the geometric constraint model of the vehicle to determine whether the vehicle will interfere with the transmission device, equipment, or product in motion.

[0077] (2) Numerical calculation: ① Call the weight constraint model of the vehicle to determine whether the weight of the vehicle under full load conditions will exceed the upper limit of the transmission device's load and power; ② Call the identification code availability constraint model of the vehicle to determine whether the barcode scanner can accurately obtain the identification code information on the vehicle.

[0078] (3) Temperature field simulation: Call the temperature control constraint model of the carrier, establish the temperature field simulation model of the carrier and product in the reflow oven, curing oven and preheating platform, analyze the temperature distribution state, temperature value, temperature change rate, etc. of the carrier and product, and determine whether the carrier meets the temperature control constraint requirements.

[0079] In the specific analysis process, obtaining the target values ​​for parameter adjustment through data analysis can be transformed into a mathematical optimization problem. This is a complex optimization problem with multiple design variables and constraints, and it is difficult to determine the mathematical relationship between the objective function and the design variables. Therefore, the intelligent algorithms applicable to this optimization problem include genetic algorithms, simulated annealing algorithms, and particle swarm optimization algorithms. In this embodiment, a genetic algorithm is selected for data analysis to obtain the target values ​​for parameter adjustment. An example flowchart is provided below: The principle of genetic algorithms is to mimic the process of species evolution. It generates a population of individuals (i.e., vehicle models with different design parameters) through genetic operators. The fitness of each individual (i.e., the objective function of the optimization problem) is calculated, and individuals are ranked according to their fitness. The individual with the highest absolute fitness value after each optimization iteration is retained for the next generation. New individuals are generated through mutation and crossover operators (i.e., changing the vehicle model design parameters according to a certain pattern). The next optimization iteration is then performed, and the fitness of each individual is compared. After multiple iterations, the optimal individual is obtained, thus yielding the target value for parameter adjustment. The process of using genetic algorithms to analyze data and obtain the target value for parameter adjustment in this example is as follows: Figure 2 As shown, it includes: a) Analyze the initial vehicle model and construct an optimization algorithm. The three key elements of the vehicle model optimization problem in this invention are as follows: ①Optimization objective: Based on the product's temperature control constraints, obtain a mathematical function characterizing the temperature field state through temperature field simulation; ② Design variables: Select vehicle structural parameters that have a significant impact on temperature distribution as control variables for the algorithm; ③ Constraints: i) Based on the geometric constraints of the vehicle, through motion interference analysis; ii) Based on the product's weight control and identification code availability constraints, through numerical analysis. Combining the above two points, obtain the constraint expressions. If the vehicle model does not satisfy the constraint expressions, the vehicle design is discarded.

[0080] b) Generate a population to participate in the iterative calculations, and use the following methods to complete the calculations in the vehicle model optimization: ① Motion interference analysis: By calling the geometric constraint model of the vehicle, it is determined whether the vehicle will interfere with the transmission device, equipment, or product when in motion.

[0081] ② Numerical calculation: i) Call the vehicle's weight constraint model to determine whether the vehicle's weight will exceed the transmission device's load-bearing and power limits under full load conditions; ii) Call the vehicle's identification code availability constraint model to determine whether the barcode scanner can accurately obtain the identification code information on the vehicle.

[0082] ③ Temperature field simulation: Call the temperature control constraint model of the carrier, and through the temperature field simulation of the carrier and product in the reflow oven, curing oven and preheating platform, determine whether the temperature control target value, temperature control rate and other parameters of the model meet the requirements.

[0083] c) Based on the constraints and objective function values, evaluate the excellence of the vehicle model design, retain the best individual, and generate new individuals through mutation to expand the search area and form the population for the next iteration calculation; d) Repeat steps b)-c) until the optimization iteration completion condition is met, and output the optimal vehicle model.

[0084] S107, Vehicle model is added to the database.

[0085] Once the initial vehicle model has completed review and optimization, it can be added to the database, including naming and storing the vehicle model. In this embodiment, the database includes, but is not limited to, a specified storage area on a personal computer or server. Naming may include, but is not limited to, assigning a filename, version number, and feature parameters to the vehicle model. Feature parameters include, but are not limited to, geometric features and weight. In one embodiment, the vehicle model can be named manually or automatically by computer software.

[0086] The carrier design method for the automated assembly line of multi-chip components proposed in this invention can significantly improve the efficiency and success rate of carrier design, reduce the experience requirements of developers for carrier design, and improve the operation effect of the production line.

[0087] Please refer to Figure 3 This application also provides a carrier design system 200 for an automated assembly line of multi-chip components, which is implemented based on the aforementioned carrier design method for automated assembly line of multi-chip components.

[0088] The vehicle design system includes a general model set management module 201, a vehicle usage environment model management module 202, a vehicle constraint rule modeling and management module 203, a vehicle initial model generation module 204, a vehicle initial model review and optimization module 205, and a vehicle model storage management module 206.

[0089] Specifically, the general model set management module 201 is mainly used to build and manage the general model set for vehicle design, including the product model set and the general vehicle model set. The general vehicle model set contains a subset of vehicle element models and a subset of typical product vehicle models. In practical applications, product models and general vehicle models can be obtained from other information systems or manually imported into the model set, and necessary management operations can be performed on the models contained in the model set. Management operations include, but are not limited to, adding, deleting, and renaming.

[0090] The vehicle usage environment model management module 202 is mainly used to construct and manage vehicle usage environment models, including environmental geometry models and vehicle usage function models. In this embodiment, management operations include, but are not limited to, adding, deleting, and renaming; vehicle usage environment models can be constructed based on manually input usage environment parameters; the constructed vehicle usage environment models can also be exported, or the models exported by this module can be re-input as vehicle usage environment models.

[0091] The vehicle constraint rule modeling and management module 203 is mainly used to extract vehicle usage constraint rules and establish corresponding models. Data sources include vehicle usage environment models and manually input constraint parameters. The established constraint rule models include geometric structure constraint models, weight constraint models, identification code availability constraint models, and temperature control constraint models. The module also performs necessary management operations on the constraint rule models, including but not limited to adding, deleting, and renaming.

[0092] The vehicle initial model generation module 204 is mainly used to establish the initial vehicle model and manage its operation. Specifically, the vehicle initial model generation module includes two sub-modules: vehicle baseline template selection and vehicle initial model parameter design. The vehicle baseline template selection module can complete the acquisition of product data to be loaded, feature parameter comparison, and baseline template confirmation. The vehicle initial model parameter design module can complete the confirmation of vehicle element integrity, adjustment of vehicle element parameters, and confirmation of the vehicle initial model. Management operations include, but are not limited to, adding, deleting, and renaming.

[0093] The vehicle initial model review and optimization module 205 is mainly used to review and optimize the initial model of the vehicle, and to perform necessary management operations on the review and optimization items. It includes two sub-modules: vehicle initial model review and vehicle initial model optimization. The analysis items for model review and optimization include motion interference analysis, numerical calculation, and temperature field simulation. The generated result files include, but are not limited to, inspection result reports and simulation models. Management operations include, but are not limited to, adding, deleting, and renaming.

[0094] The vehicle model storage management module 206 is mainly used to store the established vehicle models, including vehicle model naming and storage. Vehicle model naming refers to manual naming or automatic naming by computer software; naming includes, but is not limited to, assigning filenames, version numbers, and feature parameters to vehicle models, with feature parameters including, but not limited to, geometric features and weight; vehicle model storage refers to manually storing vehicle models in a designated storage area on a personal computer or server; necessary management operations can be performed on vehicle models, including, but not limited to, adding, deleting, and renaming.

[0095] For those skilled in the art, the specific meanings of the above terms in this invention can be understood according to the specific circumstances; the accompanying drawings in the embodiments are used to clearly and completely describe the technical solutions in the embodiments of this invention. Obviously, the described embodiments are some embodiments of this invention, but not all embodiments. Generally, the components of the embodiments of this invention described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0096] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A carrier design method for an automated assembly line for multi-chip components, characterized in that, include; Establish a general model for vehicle design: This includes establishing a product model set and a general vehicle model set; wherein, the product model set is a set of models generated by computer software, targeting typical products and containing necessary product elements, and the general vehicle model set includes a subset of vehicle element models and a subset of typical product vehicle models; Establish a vehicle usage environment model: This includes establishing a geometric structure model and a usage function model; wherein, the geometric structure model is the environmental model involved when the vehicle is in use, including an online logistics transmission geometric structure model, a static environment model of the equipment platform, and a dynamic environment model of the equipment platform; the usage function model includes a load-bearing model, a temperature control model, and a vehicle identification code availability model; Establish a set of constraint rules: This includes establishing a subset of vehicle design rules, a subset of three-dimensional dimension constraint rules for loaded products, a subset of vehicle motion interference constraint rules, and a subset of vehicle usage function constraint rules; Establish a constraint rule model: Transform a subset of rules in the constraint rule set into a model used in computer software; Establish the initial vehicle model: Based on the product to be loaded, select the vehicle reference template from the established general vehicle model set, and complete the element confirmation and element parameter adjustment to form the initial vehicle model; Initial vehicle model review and optimization: The constraint rule model is invoked to review and optimize the initial vehicle model; Vehicle Model Storage: Save the reviewed and optimized initial vehicle models into the storage.

2. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The subset of vehicle element models includes at least the plate structure model, hole structure model, boss structure model, identification code model, clamping structure model, and positioning pin model that constitute the vehicle model; the subset of typical product vehicle models includes vehicle models developed for the selected typical products.

3. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The establishment of the vehicle design rule subset, the loading product three-dimensional dimension constraint rule subset, the vehicle motion interference constraint rule subset, and the vehicle usage function constraint rule subset specifically includes: The subset of vehicle design rules includes at least the vehicle's geometric requirements, center of gravity distribution requirements, surface treatment requirements, and area utilization requirements. The subset of three-dimensional dimensional constraint rules for the loaded product includes at least the clamping force constraint of the carrier, the interference constraint of the product loading process, the constraint of the loading method of the product in the carrier, and the overall height constraint after loading. The subset of vehicle motion interference constraint rules includes at least the motion interference constraints of the vehicle after loading products within the logistics transmission device and the motion interference constraints of the vehicle after loading products inside the equipment. The subset of vehicle usage function constraint rules includes at least weight constraints, vehicle identification code availability constraints, and temperature control constraints.

4. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The step of transforming a subset of rules in the constraint rule set into a model used in computer software specifically includes: A basic constraint rule model for vehicle design is established based on a subset of vehicle design rules, including the construction of rules for geometric structure requirements, center of gravity distribution requirements, surface treatment requirements, and area utilization requirements; among which, Geometric requirements include the external dimensions of the construction vehicle, the dimensions of the product to be loaded, and the rules for determining the permissible dimensions of the online logistics transmission device; The center of gravity distribution requirement refers to the vehicle itself being centered; Surface treatment requirements include the surface roughness and color requirements of the vehicle. The area utilization requirement means that, under the premise of meeting the center of gravity distribution requirements, the unused area inside the vehicle is not allowed to be greater than or equal to the area required to load a single product.

5. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The step of transforming a subset of rules in the constraint rule set into a model used in computer software specifically includes: A three-dimensional dimensional constraint rule model for product loading on a vehicle is established based on a subset of the three-dimensional dimensional constraint rules for the loaded product. This model includes a clamping force constraint rule model, an interference constraint rule model for the product loading process, a constraint rule model for the product loading method within the vehicle, and a constraint rule model for the overall height after loading. The clamping force constraint rule model stipulates that the clamping force formed after clamping the product in the carrier with a certain clamping force must be greater than the minimum clamping force required during the product clamping process and less than the maximum clamping force that the product can withstand during the clamping process. The interference constraint rule model for the product loading process stipulates that the geometry of the product and the geometry of the vehicle are not allowed to interfere with each other during the loading process. The constraint rule model for the loading method of the product within the vehicle is that the overall center of gravity of the product after loading within the vehicle is within a preset range of the central area; The overall height constraint rule model after loading includes the determination rule that the overall height of the product after loading onto the carrier is less than the maximum height allowed by the production equipment required in the product production process.

6. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The step of transforming a subset of rules in the constraint rule set into a model used in computer software specifically includes: A vehicle motion interference constraint rule model is established based on a subset of vehicle motion interference constraint rules, including a motion interference constraint rule model for a vehicle loaded with products within a logistics transmission device, and a motion interference constraint rule model for a vehicle loaded with products inside the equipment; among which... The motion interference constraint rule model for the vehicle after loading products within the logistics transmission device includes rules for determining whether the vehicle will get stuck, collide, tilt, or fall off during its movement within the logistics transmission device. The motion interference constraint rule model for the vehicle after loading the product inside the equipment includes rules for determining whether motion interference occurs in the vehicle after loading the product inside the equipment.

7. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The step of transforming a subset of rules in the constraint rule set into a model used in computer software specifically includes: A vehicle usage function constraint rule model is established based on a subset of vehicle usage function constraint rules, including a weight constraint rule model, a vehicle identification code availability constraint rule model, and a temperature control constraint rule model; among them; The weight constraint rule model includes rules for determining whether the sum of the weights of all vehicles and products carried by logistics devices and production equipment when they are running at full load is less than the set maximum weight requirement. The vehicle identification code availability constraint rule model includes rules for determining whether the relationship between the vehicle identification code and the barcode scanner meets the requirements during vehicle movement. The temperature control constraint rule model includes rules for determining whether a vehicle carrying a product meets temperature control requirements during production and use.

8. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The selection of a vehicle baseline template from the established set of general vehicle models based on the product to be loaded specifically includes: Determine the characteristic parameters of the product to be loaded; The characteristic parameters of the product to be loaded are compared with the characteristic parameters of each vehicle in the general vehicle model set, and the comparison results of each characteristic parameter are weighted to obtain the weighted comparison result. The vehicle model corresponding to the highest weighted comparison result is retrieved from the general vehicle design model library and used as the benchmark template.

9. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The completion of feature confirmation and feature parameter adjustment specifically includes: The baseline template is analyzed to identify whether the element content is complete. If the elements are insufficient, the missing elements are called from the general model set of vehicle design. If the elements are redundant, the redundant elements are deleted. Adjust the three-dimensional parameters of the vehicle elements; The baseline template that has completed the integrity verification of vehicle elements and the vehicle elements that have completed the parameter adjustment are combined to form the initial vehicle model.

10. The carrier design method for the automated assembly line of multi-chip components according to claim 1, characterized in that, The specific process for reviewing and optimizing the initial vehicle model includes: Call all established constraint rule models and check the initial vehicle model; For any items that fail the inspection, the parameters of each element in the initial model of the vehicle are adjusted. After the adjustment is completed, the inspection is conducted again until the inspection result is approved.

11. A carrier design system for an automated assembly production line for multi-chip components, characterized in that, The carrier design method based on any one of claims 1 to 10 for an automated assembly line of multi-chip components includes: The general model set management module is used to build and manage the general model set for vehicle design, including the product model set and the general vehicle model set. The general vehicle model set contains a subset of vehicle element models and a subset of typical product vehicle models. The vehicle usage environment model management module is used to build and manage vehicle usage environment models, including environmental geometry models and vehicle usage function models. The vehicle constraint rule modeling and management module is used to extract vehicle usage constraint rules and build corresponding models. The vehicle initial model generation module is used to create initial vehicle models and manage them. The vehicle initial model review and optimization module is used to review and optimize the initial model of the vehicle. The vehicle model import management module is used to import the created vehicle models into the database, including vehicle model naming and storage.

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