Vision-Guided Gluing Control for Multi-Model Workpiece Rework
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Solution Overview
Problem
Existing gluing operations in automatic assembly processes, such as those for traction battery packs, lack efficiency and automation, particularly in adapting to different types and sizes of workpieces, and do not adequately address interruptions or quality control of the gluing process.
Innovation Solution
A method and system that includes a control device to identify workpiece models, invoke gluing solutions, and instruct a gluing robot based on user input, with features like automatic model identification, regluing capabilities, and centralized data management to enhance efficiency and automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual gluing operations are used, then flexibility in handling different workpiece types is improved, but productivity and automation level deteriorate
Solution Approach 1:
The system employs a universal gluing robot equipped with a camera system and control device that can automatically adapt to different workpiece types through model identification. The robot executes pre-stored gluing solutions for various workpiece models, enabling one robot to perform multiple gluing tasks across different workpiece varieties without manual reconfiguration, thus achieving both high productivity and adaptability
Solution Approach 2:
The patent replaces manual mechanical gluing operations with an automated robot system. The camera system captures workpiece images, the control device identifies workpiece models through image processing, and the robot automatically executes gluing operations based on identified models and pre-stored solutions, substituting human operators with an automated vision-guided robotic system to improve efficiency while maintaining adaptability
2Productivity
If automated gluing systems are implemented, then productivity is improved, but adaptability to different workpiece types deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-storing gluing solutions for multiple workpiece models in the control device before actual gluing operations. When a workpiece is presented, the camera system identifies its model and the control device retrieves the corresponding pre-stored solution, enabling the automated robot to quickly adapt to different workpiece types without requiring complex real-time decision-making or reprogramming, thus maintaining high productivity while achieving versatility
Solution Approach 2:
The camera system creates optical copies (images) of the workpiece, and the control device processes these copies to identify the workpiece model. This copying approach allows the automated system to 'see' and recognize different workpiece types without physical contact or complex sensing, enabling rapid adaptation to various workpiece geometries and features while maintaining automated high-speed operation
3Reliability
If complete workpiece regluing is performed after interruption, then reliability is improved, but loss of time and material increases
Solution Approach 1:
The patent segments the workpiece gluing area into multiple zones and implements selective regluing by identifying which specific zones require rework after an interruption. Instead of regluing the entire workpiece, the system targets only the affected zones, thereby maintaining gluing quality reliability while significantly reducing the time and material consumption associated with complete regluing operations
Solution Approach 2:
The system applies local quality by performing regluing operations only in the specific zones that were affected by the interruption rather than uniformly treating the entire workpiece. This localized approach ensures that gluing quality is maintained in critical areas while avoiding unnecessary rework in already-completed zones, thus improving reliability efficiency by eliminating wasted time and materials
4Reliability
If complete workpiece regluing is performed after interruption, then reliability is improved, but loss of substance increases
Solution Approach 1:
The system segments the workpiece into multiple gluing zones and identifies which specific zones require regluing after an interruption. By targeting only the affected zones rather than the entire workpiece, the system minimizes glue material consumption during regluing operations while still ensuring that all necessary areas receive proper adhesive application, thus maintaining reliability while reducing substance loss
Solution Approach 2:
The patent implements local quality by applying glue material only to the specific zones that require rework rather than uniformly applying glue across the entire workpiece surface. This localized regluing approach ensures that glue is used efficiently only where needed to maintain bonding quality, preventing unnecessary material waste in areas that were already properly glued before the interruption occurred
Data Source
AI summary
A method for controlling gluing includes: allowing a conveying apparatus to move a to-be-glued workpiece to a gluing workstation; determining a gluing mode of the to-be-glued workpiece based on a user instruction received through a human-machine interface; fixing the to-be-glued workpiece into a position; invoking a gluing solution for the to-be-glued workpiece; instructing a gluing robot to perform a gluing operation on the workpiece based on the gluing solution; and uploading gluing data to a device manufacturing execution system server. A gluing system includes a control device for controlling a gluing workstation for performing a gluing operation, and a gluing robot for performing the gluing operation, where the control device at the gluing workstation is configured to: invoke a gluing solution for the to-be-glued workpiece; and instruct the gluing robot to perform the gluing operation on the workpiece based on the gluing solution.