Component Mounting Image Storage Based on Placement Error Rates
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Solution Overview
Problem
Existing component mounting systems face challenges in efficiently storing image data due to limited storage capacity and transmission speed, while maintaining the robustness of image processing for high-accuracy component placement on boards, with a need to optimize data storage and reduce storage burden.
Innovation Solution
A component mounting system that includes a component supply section, pickup nozzle, imaging section, memory section, image processing execution section, determining section, error rate calculating section, storage period monitoring section, and storage control section, allowing for controlled storage of image data based on error rates, ensuring sufficient data for process adjustments without overwhelming storage capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all captured image data is stored in the storage device, then sufficient data is available for image processing optimization and error investigation, but storage capacity is excessively consumed and transmission speed is reduced
Solution Approach 1:
The patent applies local quality by setting different reference error rates for different component types. Each component has its own reference error rate based on its specific characteristics, allowing the system to store image data selectively - storing more data for components with higher error rates and less for components with lower error rates. This resolves the contradiction by making storage quality non-uniform across different components.
Solution Approach 2:
The patent changes the parameter of reference error rate from a fixed value to a variable that can be adjusted for each component type. By modifying this parameter, the system dynamically determines how much image data to store for each component, balancing data availability needs against storage capacity constraints.
2Stability of the object's composition
If image data is stored for all component types uniformly, then consistent data availability is maintained across all components, but storage burden increases for components with low error rates
Solution Approach 1:
The patent implements local quality by allowing each component type to have its own reference error rate setting. This enables the system to maintain appropriate data availability for each component type based on its specific needs, rather than applying a uniform standard. Components with higher error rates receive more storage resources, while components with lower error rates use fewer resources.
Solution Approach 2:
The patent introduces dynamics by making the storage threshold (reference error rate) adjustable and component-specific. Instead of a static uniform storage policy, the system dynamically adapts storage requirements to each component type's actual error characteristics, improving overall storage efficiency.
3Reliability
If the reference error rate is set low to ensure high data availability, then image processing robustness is improved, but storage capacity is excessively consumed
Solution Approach 1:
The patent changes the reference error rate from a single low value to a set of component-specific values. By adjusting this parameter for each component type based on its actual error characteristics, the system achieves the necessary image processing robustness for each component without uniformly over-storing data for all components.
Solution Approach 2:
The patent applies partial action by storing image data selectively based on component-specific reference error rates. Instead of uniformly storing all image data (excessive action), the system stores only the necessary amount for each component type, achieving sufficient robustness without excessive storage consumption.
4Quantity of substance
If the reference error rate is set high to reduce storage burden, then storage capacity is conserved, but image processing robustness deteriorates
Solution Approach 1:
The patent adjusts the reference error rate parameter to match each component type's actual error characteristics. This ensures that the storage threshold is neither too high (causing robustness deterioration) nor too low (causing excessive storage), but optimally set for each component type's specific needs.
Data Source
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AI summary
Component mounting system 1 includes electronic component mounting device 10, control device 100, image processing device 110, and storage device 115. Electronic component mounting device 10 includes mounting head 26, supply device 28, and component camera 90. Electronic component mounting device 10 holds a supplied electronic component with mounting head 26, and images the held electronic component with component camera 90. Controller 102 performs image processing on captured image data with image processing device 110 to determine the acceptability and position of the electronic component (S6). Controller 102 monitors the start and end of the storage period (S10, S13) based on the magnitude relationship between the error rate calculated from the determination result information in the error rate calculation process (S8) and the reference error rate (S9). If the image data captured with component camera 90 is stored within the storage period, controller 102 stores the image data in storage device 115 (S11).