Association Data Display for Manufacturing Traceability Search

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Solution Overview

Problem

Existing information collection systems in manufacturing industries face challenges such as high storage costs due to the need for large databases to store all associated data, and difficulties in effectively using site data across multiple manufacturing processes, as they require specific devices for data generation and lack efficient association and display of data between departments.

Innovation Solution

An information collection and display system that connects data generation devices with storage devices, utilizing an association data accumulation unit to store and search for necessary information, and a user interface to display connection relations between site data, allowing for efficient analysis by managing minimal association data and enabling easy retrieval of associated information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If all associated data is stored as supplementary information in a database, then complete traceability information is available, but storage device capacity requirements and facility costs increase

Engineering Contradiction:

Improvetraceability information completenessVSAvoidstorage device capacity

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential association data (task information and task association information) from the complete site data, storing only this minimal necessary information in the database rather than all supplementary information. This extraction principle reduces storage requirements while maintaining the ability to provide complete traceability when needed.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments data into two categories: essential association data that is stored in the database, and other site data that is not stored but can be retrieved when needed. This segmentation allows the system to maintain complete traceability information while minimizing storage device capacity requirements.

Inventive Principle:

Principle #1Segmentation

2Loss of information

If all associated data is stored in a database, then complete information is available for analysis, but facility cost and maintenance cost increase

Engineering Contradiction:

Improveinformation completenessVSAvoidfacility cost

Core Design Contradiction:

Loss of informationVSEase of manufacture

Solution Approach 1:

The system extracts and stores only the minimal necessary association data (task information and task association information) rather than all supplementary information. This extraction approach maintains information completeness for traceability while significantly reducing facility costs associated with storing and maintaining large databases.

Inventive Principle:

Principle #2Taking out (Extraction)

3Reliability

If site data is collected by specific data generation devices, then data can be associated with finished products, but it is difficult to associate all site data from series of manufacturing processes

Engineering Contradiction:

Improvedata association accuracyVSAvoiddata collection coverage

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal association data structure that can accommodate site data from multiple different data generation devices across various manufacturing processes. The standardized format allows diverse data sources to be associated with finished products through a common interface, enhancing both reliability and adaptability.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Productivity

If department-specific management systems are used, then work efficiency optimization in each department progresses, but overall manufacturing process optimization is hindered

Engineering Contradiction:

Improvedepartmental work efficiencyVSAvoidcross-departmental cooperation

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent merges department-specific site data into a unified association data structure that maintains individual task information while establishing cross-departmental connections. This combining approach allows each department to optimize its own work efficiency while enabling overall manufacturing process optimization through integrated data association.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS12147218B2Information collection and display system, information collection method, and information display method

Publication Date: 2024.11.19 HITACHI LTD

AI summary

An information collection and display system is provided, in which a data generation device that generates site data and a transaction data accumulation unit that stores the site data are connected. The system includes an association data accumulation unit storing association data which defines an association of each of multiple pieces of information included in the site data; an association data search unit which searches for second information associated with first information included in the pieces of information, on the basis of the association data; and a user interface that displays a connection relation of the pieces of information associated by the association data. The association data search unit searches for the second information associated with the first information displayed on the user interface and displays the first information and the second information on the user interface with the connection relation of the pieces of information.