Electronic equipment production line layout digital test method and device for efficiency improvement
By using the large model demand interaction module, production line model database, and production line layout debugging and testing module, the problems of incomplete process constraint checks and high physical adjustment costs in electronic equipment production line layout have been solved, realizing automated design and real-time verification of production line layout and improving production efficiency.
Patent Information
- Application Number
- CN202511542753.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-27
- Publication Date
- 2026-01-23
AI Technical Summary
Existing electronic equipment production line layout planning methods rely on personal experience, resulting in incomplete process constraint checks, high physical adjustment costs, and a lack of verification of scheduling strategies. They cannot be fully verified in a virtual environment, leading to design flaws and high-cost physical adjustments.
Employing a large-scale model demand interaction module, a production line model database module, and a production line layout debugging and testing module, the system achieves automated design and real-time verification of virtual production line layouts through multimodal demand input, intelligent parsing, visual output, rule engine verification, 3D model storage and retrieval, discrete event simulation, and digital twin technology.
It enables automatic conversion of natural language requirements into simulation parameters, improves the comprehensiveness of process constraint checks, reduces physical adjustment costs, supports dynamic correlation retrieval of equipment attributes, realizes synchronization between virtual debugging results and physical operation, and optimizes production line layout and production efficiency.
Smart Images
Figure CN121389957A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of intelligent production line virtual testing, and particularly relates to an electronic equipment production line layout digitized testing method and device for efficiency improvement. BACKGROUND
[0002] With the development of electronic equipment products towards multi-variety and small-batch customization, the manufacturing system is evolving towards a highly intelligent and flexible mode. This puts extremely high requirements on the agility, scientificity and reliability of the production line layout. However, the current production line layout planning method still heavily relies on the personal experience of engineers and two-dimensional plane design, and has been difficult to adapt to the development needs of intelligent manufacturing, with the following three major pain points: 1. Incomplete process constraint checking: due to the multi-dimensional complex spatial relationship involved in electronic equipment assembly, such as cables, connectors and heat dissipation channels, the traditional manual checking method is easy to miss potential interference problems, leading to design defects flowing into the later implementation stage and causing frequent rework; 2. High cost of physical adjustment: the verification of the layout scheme of the existing technology relies on physical trial and error, and each adjustment of the equipment and production line structure means high material handling, reinstallation and debugging cost, which makes the scheme optimization iteration difficult to proceed; 3. Lack of verification of scheduling strategy: the traditional three-dimensional model or simulation system is independent of the actual production scheduling and control strategy, and cannot fully verify the dynamic logic such as equipment cooperation and material flow in the virtual environment, resulting in inconsistency between the virtual debugging result and the actual operation effect. SUMMARY
[0003] To solve the above technical problems, the application adopts the following technical solutions:
[0004] An electronic equipment production line layout digitized testing method for efficiency improvement, comprising:
[0005] Step 1, design a large model demand interaction module, including a multi-modal demand input unit, an intelligent analysis engine unit and a visual output unit; wherein the multi-modal demand input unit is used to input the user's demand and convert the user's demand into standardized interactive data, the user's demand is analyzed by the intelligent analysis engine unit and the production line layout requirement is output, and finally the three-dimensional layout scheme is shown to the user by the visual output unit;
[0006] Step 2, design a production line model database module, including a three-dimensional model storage and retrieval unit, a topological relationship constraint unit and a historical scheme version management unit; wherein the three-dimensional model storage and retrieval unit is used to store three-dimensional models, the topological relationship constraint unit sets topological boundaries for three-dimensional models to ensure that the production line layout meets the constraint rules, and the historical scheme version management unit is used to store production line layout schemes for user viewing and management;
[0007] Step 3, design a production line layout debugging and testing module, check the compliance of the three-dimensional production line layout through a rule engine, evaluate logistics efficiency through discrete event simulation, optimize scheduling strategies through reinforcement learning, and realize virtual-real interaction debugging with the help of digital twinning.
[0008] A kind of digital test device for electronic equipment production line layout facing efficiency improvement, comprising:
[0009] Large model demand interaction module, including multi-modal demand input unit, intelligent analysis engine unit, visual output unit;Wherein, multi-modal demand input unit is used to input the demand of user and convert the demand of user into standardized interaction data, the demand of user is analyzed by intelligent analysis engine unit and output production line layout requirement, finally, three-dimensional layout scheme is shown to user by visual output unit;
[0010] Production line model database module, including three-dimensional model storage and retrieval unit, topological relationship constraint unit, historical scheme version management unit;Wherein, three-dimensional model storage and retrieval unit is used to store three-dimensional model, topological relationship constraint unit sets topological boundary for three-dimensional model to ensure that production line arrangement meets constraint rules, historical scheme version management unit is used to store production line layout scheme for user to view and manage;
[0011] Production line layout debugging and testing module, check the compliance of the three-dimensional production line layout through a rule engine, evaluate logistics efficiency through discrete event simulation, optimize scheduling strategies through reinforcement learning, and realize virtual-real interaction debugging with the help of digital twinning.
[0012] An electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the production line layout digital testing method facing efficiency improvement for electronic equipment.
[0013] A non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the production line layout digital testing method facing efficiency improvement for electronic equipment.
[0014] The present application has the following beneficial effects:
[0015] The present application realizes automatic conversion from natural language demand to simulation parameters based on a large model demand interaction module, solves the problems of low efficiency of traditional manual demand communication and incomplete process constraint checking, innovatively constructs a parameterized three-dimensional model database, supports dynamic association retrieval and lightweight processing of device attributes, breaks through the bottleneck of low reuse rate of traditional three-dimensional models and high physical adjustment cost, and through a digital twinning closed-loop verification system, synchronizes simulation optimization results to physical production line in real time, and overcomes the defects of disconnection between traditional virtual testing and physical debugging and lack of verification of scheduling strategies. BRIEF DESCRIPTION OF DRAWINGS
[0016] Figure 1 A flowchart of the efficiency-oriented electronic equipment production line layout digitization test method of the present application. DETAILED DESCRIPTION
[0017] In order to make the purpose, technical solution and advantages of the present application clearer and more understandable, the present application will be further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as they do not conflict with each other.
[0018] The present application provides an efficiency-oriented electronic equipment production line layout digitization test method, which comprises the design of a large model demand interaction module, a production line model database module and a production line layout debugging and test module, and can optimize the production line equipment layout to a certain extent and improve the production efficiency.
[0019] The flowchart of the present application is shown in Figure 1 The specific implementation is as follows:
[0020] Step 1, design a large model demand interaction module, including a multi-modal demand input unit, an intelligent analysis engine unit and a visual output unit;
[0021] The multi-modal demand input unit is used to input the user's demand and convert the user's demand into standardized interaction data, the user's demand is analyzed by the intelligent analysis engine unit and the production line layout requirements are output, and finally the three-dimensional layout scheme is shown to the user by the visual output unit. The specific implementation is as follows:
[0022] The multi-modal demand input unit supports multi-form input such as text, voice and image, and converts the user's unstructured demand into standardized interaction data. The multi-modal demand input unit has a built-in preprocessor for noise reduction, standardization and vectorization processing of input information, generating a unified feature representation, providing standardized interaction data for subsequent analysis of user demand.
[0023] The intelligent analysis engine unit analyzes the user's demand based on the field large model and outputs executable production line layout requirements. The intelligent analysis engine unit is based on a fine-tuned field large model, which is pre-trained and reinforced learning trained through massive industrial equipment manuals, process procedures, layout standards and other field corpus, and has deep field knowledge. The intelligent analysis engine unit uses attention mechanism and named entity recognition technology to accurately extract key entities (such as device model, layout parameters) and their relationships from user unstructured demand, and converts user unstructured demand into structured and executable production line layout requirements.
[0024] The visualization output unit receives the line layout requirements output by the intelligent analysis engine unit, automatically calls and loads the three-dimensional model of the equipment from the model database, generates an interactive three-dimensional line layout scheme and production efficiency data in real time, displays the three-dimensional line layout scheme and production efficiency data in real time through an interactive three-dimensional board, and supports the user to drag and adjust the position of the equipment in the three-dimensional model, and automatically generates an updated line state.
[0025] The visualization output unit supports the user to directly interact with the three-dimensional model of the equipment in a manner of dragging, adsorbing, rotating, etc., to adjust the position and posture thereof. The system background performs collision detection and spacing verification in real time, and automatically triggers real-time rendering and updating of the interactive three-dimensional line layout scheme after the user interaction, to instantly generate and display the adjusted line state, and provide an immersive layout experience.
[0026] Step 2, design a line model database module, including a three-dimensional model storage and retrieval unit, a topological relationship constraint unit, and a historical scheme version management unit; wherein the three-dimensional model storage and retrieval unit is used to store three-dimensional models, the topological relationship constraint unit sets topological boundaries for the three-dimensional models to ensure that the line arrangement meets the constraint rules, and the historical scheme version management unit is used to store line layout schemes for user viewing and management. The specific implementation is as follows:
[0027] The three-dimensional model storage and retrieval unit manages equipment metadata through an SQL (Structured Query Language) database, and stores corresponding lightweight three-dimensional model files in a file system, establishes an association index between the equipment metadata and the lightweight three-dimensional model files through a unique identifier, supports quick retrieval of matched lightweight three-dimensional models based on SQL condition queries, and realizes efficient management of a parameterized model library.
[0028] The equipment metadata includes structured attributes such as equipment ID (identifier), name, size, power consumption, interface type, and process parameters.
[0029] The topological relationship constraint unit stores various constraint rules between the equipment through an SQL database, and supports dynamic rule configuration and real-time verification. The topological relationship constraint unit constructs a line layout knowledge graph based on an SQL database, stores various constraint rules (constraint rule set) between the equipment: physical constraint rules and logical constraint rules. The unit provides a graphical interface to support engineers to perform dynamic rule configuration and editing. During the layout design or adjustment process, the unit is linked with the visualization output unit to real-time verify whether the current three-dimensional line layout scheme meets all preset constraint rules, and to highlight and alarm the rule violation items and provide reason prompts.
[0030] The historical scheme version management unit records the iteration history of the three-dimensional production line layout scheme, records the version number, modification time, modifier, modification note and complete scheme data. Support the full life cycle of three-dimensional production line layout scheme, difference comparison between any version, and one-key rollback to any version in history, provide data support and decision basis for three-dimensional production line layout scheme iteration optimization.
[0031] Step 3, design the production line layout debugging and testing module, check the compliance of three-dimensional production line layout through rule engine, evaluate logistics efficiency through discrete event simulation, and strengthen learning optimization scheduling strategy, and realize virtual and real debugging through digital twin. The specific implementation includes:
[0032] Step 31, check the compliance of three-dimensional production line layout through rule engine, identify three-dimensional production line layout that does not meet the process standard and generate correction suggestions. The production line layout debugging and testing module integrates the rule engine, which loads and executes the constraint rule set defined by the topological relationship constraint unit. Based on the constraint rule set, the scheme of the current three-dimensional production line layout is automatically checked for compliance in batches, all three-dimensional production line layouts that do not meet the constraint rule set are identified, and specific and operable correction suggestion reports are automatically generated.
[0033] Step 32, the production line layout debugging and testing module is built-in or calls the discrete event simulation engine, such as FlexSim (flexible simulation) software, which dynamically models the production line behavior by simulating the state changes of the system driven by specific events. Based on the discrete event simulation engine, a high-fidelity digital simulation model is built, and the current three-dimensional production line layout scheme, device parameters, production order information, material flow data, etc. are imported to simulate the dynamic running process of the production line under a specific production plan. Through the simulation of dynamic running process, the logistics efficiency, equipment utilization rate, production capacity, work-in-process inventory, order completion time and other key performance indicators of the production line are quantitatively evaluated.
[0034] Based on the simulation running, the reinforcement learning proximal policy optimization algorithm is adopted to dynamically optimize the production operation scheduling strategy of the production line, balance the production efficiency and energy consumption index, and the reward function formula is designed as follows:
[0035] ;
[0036] Among them, is the reward function, is the comprehensive efficiency of the equipment, , is the maximum energy consumption, is the changeover time, that is, the equipment adjustment time when the product is switched, which directly affects the flexibility of production capacity.
[0037] In step 33, a digital twin is constructed through a digital twin technology to realize real-time data mapping and interaction between the virtual production line model and the physical production line, and a three-dimensional production line layout scheme efficiency is virtually tested by combining a discrete event simulation engine, and the three-dimensional production line layout scheme is output to the large model demand interaction module to realize scheme output facing user demand.
[0038] In conclusion, the application discloses an electronic equipment production line layout digital test method for efficiency improvement, which comprises the design of a large model demand interaction module, a production line model database module and a production line layout debugging and testing module, and can optimize production line equipment layout and improve production efficiency to a certain extent.
[0039] Those skilled in the art should understand that the embodiments of the application can be provided as a method, a system or a computer program product. Therefore, the application can adopt a completely hardware embodiment, a completely software embodiment or an embodiment combining software and hardware aspects. Moreover, the application can adopt a computer program product in the form of being implemented on one or more computer usable storage media containing computer usable program codes (including but not limited to disk storage, CD-ROM, optical storage, etc.). The solutions in the embodiments of the application can be implemented in various computer languages, for example, an object-oriented programming language Java and an interpreted scripting language JavaScript.
[0040] The application is described with reference to flowcharts and / or block diagrams of the method, device (system) and computer program product according to the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one flow or multiple flows and / or blocks Figure 1 The functions specified in one block or multiple blocks.
[0041] These computer program instructions can also be stored in a computer readable memory capable of guiding the computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer readable memory produce a product comprising instruction devices, which implement the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one flow or multiple flows and / or blocks Figure 1 The functions specified in one block or multiple blocks.
[0042] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operational steps are performed on the computer or other programmable data processing devices, to generate a computer implemented process, so that the instructions executed on the computer or other programmable data processing devices provide the function of implementing the flow Figure 1 one or more flows and / or blocks Figure 1 one or more blocks or a plurality of blocks.
[0043] Although the preferred embodiments of the application have been described, those skilled in the art will be able to make additional modifications and variations to these embodiments without departing from the spirit and scope of the application. Accordingly, the appended claims are intended to encompass within their scope all such modifications and variations as fall within the scope of the application.
[0044] Obviously, various modifications and changes can be made to the present application by those skilled in the art without departing from the spirit and scope of the present application. Accordingly, the present application intends to include all such modifications and changes as fall within the scope of the claims and their equivalents.
[0045] The above description is merely illustrative of the application, and is not intended to limit the scope of the application. Any equivalent structure or equivalent processes that directly or indirectly derive from the content of the specification and drawings of the present application, or are applied in other related systems, are also intended to be included within the scope of the present application.
[0046] The content not described in detail in the specification of the present application is the prior art known to those skilled in the art.
Claims
1. A digital testing method for electronic equipment production line layout aimed at improving efficiency, characterized in that, include: Step 1: Design the large model requirement interaction module, including a multimodal requirement input unit, an intelligent parsing engine unit, and a visualization output unit. The multimodal requirement input unit is used to input user requirements and transform them into standardized interactive data. The intelligent parsing engine unit parses user requirements and outputs production line layout requirements. Finally, the visualization output unit displays the 3D layout scheme to the user. Step 2: Design the production line model database module, including a 3D model storage and retrieval unit, a topology constraint unit, and a historical scheme version management unit. The 3D model storage and retrieval unit is used to store 3D models, the topology constraint unit sets topology boundaries for the 3D models to ensure that the production line layout meets the constraint rules, and the historical scheme version management unit is used to store production line layout schemes for users to view and manage. Step 3: Design the production line layout debugging and testing module. Verify the compliance of the 3D production line layout through a rule engine, evaluate logistics efficiency through discrete event simulation, optimize scheduling strategies through reinforcement learning, and achieve virtual-physical linkage debugging with the help of digital twins.
2. The digital testing method for electronic equipment production line layout aimed at efficiency improvement according to claim 1, characterized in that, In step 1, the multimodal demand input unit supports text, voice, and image input, transforming the user's unstructured demands into standardized interactive data. The multimodal demand input unit has a built-in preprocessor that performs noise reduction, standardization, and vectorization on the input information to generate a unified feature representation, providing standardized interactive data for subsequent analysis of user demands.
3. The digital testing method for electronic equipment production line layout aimed at efficiency improvement according to claim 2, characterized in that, In step 1, the intelligent parsing engine unit parses user requirements based on a large domain model and outputs executable production line layout requirements; The intelligent parsing engine unit is built based on a fine-tuned domain-wide model, which is pre-trained and trained using domain-wide corpora. The intelligent parsing engine unit utilizes attention mechanisms and named entity recognition technology to accurately extract key entities and their relationships from users' unstructured requirements, and transforms these unstructured requirements into structured, executable production line layout requirements.
4. The digital testing method for electronic equipment production line layout aimed at efficiency improvement according to claim 3, characterized in that, In step 1, the visualization output unit receives the production line layout requirements output by the intelligent analysis engine unit, automatically calls and loads the 3D model of the equipment from the model database, generates interactive 3D production line layout scheme production efficiency data in real time, displays the 3D production line layout scheme production efficiency data in real time through an interactive 3D dashboard, and supports users to drag and adjust the position of the equipment in the 3D model, automatically generating the updated production line status. The visualization output unit allows users to interact directly with the device's 3D model by dragging, snapping, and rotating, adjusting the position and orientation of the device's 3D model. The system backend performs collision detection and spacing verification in real time, and automatically triggers the real-time rendering and updating of the interactive 3D production line layout scheme after user interaction, instantly generating and displaying the adjusted production line status, providing an immersive layout experience.
5. The digital testing method for electronic equipment production line layout aimed at efficiency improvement according to claim 4, characterized in that, In step 2, the 3D model storage and retrieval unit manages device metadata through an SQL database and stores the corresponding lightweight 3D model files in the file system. It establishes an association index between device metadata and lightweight 3D model files through a unique identifier, supports fast retrieval of matching lightweight 3D models based on SQL condition queries, and realizes efficient management of the parameterized model library.
6. The digital testing method for electronic equipment production line layout aimed at efficiency improvement according to claim 5, characterized in that, In step 2, the topology constraint unit stores various constraint rules between devices through an SQL database and supports dynamic rule configuration and real-time verification. The constraint rule set includes physical constraint rules and logical constraint rules. The graphical interface provided by the topology constraint unit supports engineers in dynamic rule configuration and editing. During the layout design or adjustment process, the topology constraint unit works in conjunction with the visualization output unit to verify in real time whether the current 3D production line layout scheme conforms to the constraint rules of the constraint rule set, and highlights and alerts violations and provides reasons for violations.
7. The digital testing method for electronic equipment production line layout aimed at efficiency improvement according to claim 6, characterized in that, Step 3 includes: Step 31: Verify the compliance of the 3D production line layout through the rule engine, identify 3D production line layouts that do not meet the process standards, and generate correction suggestions; The production line layout debugging and testing module integrates the rule engine, which loads and executes the constraint rule set defined by the topology constraint unit. Based on the constraint rule set, it performs batch automated compliance checks on the current 3D production line layout scheme, identifies all 3D production line layouts that do not meet the constraint rule set, and automatically generates specific and operable correction suggestion reports; Step 32: The production line layout debugging and testing module has a built-in or calls the discrete event simulation engine. Based on the discrete event simulation engine, a high-fidelity digital simulation model is built. The current three-dimensional production line layout scheme, equipment parameters, production order information, and material flow data are imported to simulate the dynamic operation of the production line under a specific production plan. Through the simulation of the dynamic operation process, the key performance indicators of the production line, such as logistics efficiency, equipment utilization rate, capacity, work-in-process inventory, and order completion time, are quantitatively evaluated. Based on simulation operation, a reinforcement learning near-end policy optimization algorithm is adopted to dynamically optimize the production operation scheduling strategy of the production line, balancing production efficiency and energy consumption indicators. The reward function formula is as follows: ； in, For the reward function, For overall equipment efficiency, , For maximum energy consumption, Changeover time, or the equipment adjustment time during product switching, directly affects flexible production capacity. Step 33: Construct a digital twin using digital twin technology to achieve real-time data mapping and interaction between the virtual production line model and the physical production line. Combine this with a discrete event simulation engine to complete the virtual test of the efficiency of the 3D production line layout scheme. Output the 3D production line layout scheme to the large model demand interaction module to achieve solution output oriented towards user needs.
8. A digital testing device for the layout of electronic equipment production lines aimed at improving efficiency, characterized in that, include: The large model requirement interaction module includes a multimodal requirement input unit, an intelligent parsing engine unit, and a visualization output unit. The multimodal requirement input unit is used to input user requirements and transform them into standardized interactive data. The intelligent parsing engine unit parses the user requirements and outputs production line layout requirements. Finally, the visualization output unit displays the 3D layout scheme to the user. The production line model database module includes a 3D model storage and retrieval unit, a topology constraint unit, and a historical scheme version management unit. The 3D model storage and retrieval unit is used to store 3D models, the topology constraint unit sets topology boundaries for the 3D models to ensure that the production line layout meets the constraint rules, and the historical scheme version management unit is used to store production line layout schemes for users to view and manage. The production line layout debugging and testing module verifies the compliance of the 3D production line layout through a rule engine, evaluates logistics efficiency through discrete event simulation, optimizes scheduling strategies through reinforcement learning, and achieves virtual-physical linkage debugging with the help of digital twins.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the digital testing method for electronic equipment production line layout aimed at efficiency improvement as described in any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the digital testing method for the layout of electronic equipment production lines for efficiency improvement as described in any one of claims 1 to 7.