Component Mounting Parameter Setting Automation
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Solution Overview
Problem
In component mounting apparatuses, the complexity of operational parameters for precise electronic component mounting requires more accurate settings than what CAD data or BOM data can provide, leading to increased labor and reduced reliability due to unsuitable parameter inputs and operator-dependent amendments.
Innovation Solution
A setting support system that includes an input unit for component and operational parameter settings, a storage for correlation tables, and a creation processor to generate rule tables based on component parameters, reducing operator workload and improving reliability by linking component information to operational settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operational parameters are manually set and amended based on CAD data or BOM data, then the component mounting process can be performed, but the reliability and accuracy of parameter settings deteriorate due to operator-dependent inputs and amendments
Solution Approach 1:
The system enables self-service by automatically acquiring component information from external sources (component catalogs, BOM data) and autonomously setting operational parameters without requiring manual operator intervention. The parameter setting unit automatically processes acquired information and generates appropriate operational parameters, eliminating operator-dependent amendments and improving reliability.
Solution Approach 2:
The patent replaces the manual mechanical process of parameter setting with an automated information processing system. Instead of operators manually inputting and adjusting parameters, the system uses automated data acquisition, correlation table matching, and algorithmic parameter determination to substitute human operation with automated computational processes.
2Manufacturing precision
If detailed component information is manually input and parameters are manually adjusted, then accurate mounting can be achieved, but the labor and time required increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-acquiring component information from catalogs and BOM data before the actual mounting process. The parameter setting unit pre-processes this information and determines operational parameters in advance, eliminating the need for time-consuming manual adjustments during production setup and reducing overall preparation time.
Solution Approach 2:
The system uses copying by acquiring component information from existing external sources (component catalogs, BOM data) rather than requiring manual re-entry. The parameter setting unit copies and processes this pre-existing information to generate operational parameters, significantly reducing the time and labor required for data input while maintaining accuracy.
3Ease of operation
If operational parameters are set without systematic correlation to component parameters, then the setting process is simpler, but inconsistencies and errors increase
Solution Approach 1:
The system implements feedback through correlation tables that systematically link component parameters to operational parameters. The parameter setting unit continuously references these correlation tables to ensure consistent and accurate parameter settings, providing automated feedback mechanisms that prevent inconsistencies and errors while maintaining process simplicity.
Data Source
AI summary
An operational parameter setting supporting system for setting an operational parameter that specifies an operation of a component mounting apparatus is configured to include in an input unit into which a setting value of a component parameter and a setting value of the operational parameter that corresponds to the component parameter are input, a storage in which a correlation table in which the component parameter and the operational parameter that corresponds to the component parameter are associated with other is stored, and a rule table creation processor that creates a rule table from the setting value of the component parameter and the setting value of the operational parameter that are input into the input unit, and from the correlation table that is stored in the storage.


