Mounting Data Group Tracking for Changed Reference Identification
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Solution Overview
Problem
In the mounting process for components on a substrate, it is difficult for operators to identify changes in data groups as the number of types increases, complicating the confirmation of altered data, especially since different data groups of the same type may have varying data.
Innovation Solution
A data management device with a determination section and an output section is implemented to identify specific reference data groups associated with derivative data groups that have changed data, enabling clear differentiation through display methods such as color coding or icons on a display device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of data groups increases to cover more mounting process variations, then the system's adaptability improves, but the difficulty of identifying changed data increases
Solution Approach 1:
The patent applies color coding to visually distinguish changed data from unchanged data. Specifically, it displays a first color for unchanged data and a second color for changed data, enabling operators to quickly identify modifications without manually reviewing all data groups. This visual differentiation directly addresses the difficulty of detecting changes in large numbers of data groups while preserving system adaptability.
Solution Approach 2:
The patent segments the large set of data groups into categories based on their change status. By dividing data groups into those that have changed and those that have not, and displaying them with distinct visual characteristics, the system makes it manageable to review changes even as the total number of data groups increases to improve adaptability.
2Productivity
If data is changed to improve the mounting process, then the productivity improves, but the complexity of data management increases
Solution Approach 1:
The patent implements a feedback mechanism that automatically detects and reports changes in data groups. When data is modified to improve mounting process productivity, the system automatically identifies the changed data groups and provides visual feedback through color-coded display. This feedback loop simplifies data management complexity by automatically tracking changes rather than requiring manual verification.
Solution Approach 2:
The system performs self-service by automatically detecting and marking changed data groups without requiring manual intervention. The color-coded display system automatically updates to reflect current data states, reducing the management complexity that would otherwise increase with frequent data changes needed for productivity improvements.
3Measurement precision
If manual confirmation of data changes is performed, then the measurement precision of data accuracy improves, but the time required for confirmation increases
Solution Approach 1:
The patent replaces manual mechanical review processes with an automated visual display system. Instead of manually comparing and confirming data changes, the system automatically detects changes and presents them with color-coded visual indicators. This substitution maintains measurement precision of data accuracy confirmation while dramatically reducing the time required, as the automated system instantly identifies and displays all changed data groups.
Data Source
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AI summary
A data management device includes a determination section and an output section. Here, a set of data used in a mounting process of mounting a component on a substrate is defined as a data group. One of multiple data groups is defined as a reference data group, and the data group managed in association with the reference data group is defined as an association data group. One of the association data groups that includes difference data, which is correspondence data corresponding to the data of the reference data group that differs from the data of the reference data group, is defined as a derivative data group. In this case, the determination section determines whether the derivative data group is associated with each of multiple types of the reference data groups. The output section outputs an identification information identifying a specific reference data group, which is the reference data group with which the derivative data group is associated, so as to be distinguishable from identification information identifying a normal reference data group, which is the reference data group with which the derivative data group is not associated, based on a determination result by the determination section.