Rule-Based Document Data Merging for Project Distribution
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Solution Overview
Problem
Existing systems face challenges in efficiently managing and distributing document data related to projects, such as design drawings and product designs, across different departments or individuals, leading to a high workload for document registration and distribution.
Innovation Solution
A document-data merging system and method that involves a server and information processing apparatuses to acquire, classify, and merge document data based on predefined rules, reducing the workload by integrating document data into a single merged document for easier handling and distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple document data are managed and distributed individually, then document management precision is improved, but workload and time consumption increase
Solution Approach 1:
The patent merges multiple individual document data into a single integrated document data structure that preserves all original document information. This allows the system to manage multiple documents as one unified entity, reducing the time required for distribution while maintaining the precision of individual document tracking through embedded identification information.
2Productivity
If document data are merged into a single integrated document, then distribution efficiency is improved, but document data complexity increases
Solution Approach 1:
The patent segments the integrated document data into distinct components, each representing original individual documents. By maintaining clear boundaries and identification information for each segment, the system can process and distribute the integrated document efficiently while preserving the ability to track and manage individual document components separately.
Solution Approach 2:
The patent introduces an intermediary structure (the integrated document data with embedded identification information) that mediates between individual document data and distribution processes. This intermediary maintains the complexity of multiple documents internally while presenting a simplified single-document interface externally, thereby improving distribution efficiency without losing document differentiation.
3Measurement precision
If manual classification and merging of document data is performed, then document management precision is improved, but workload increases
Solution Approach 1:
The patent enables the system to automatically perform classification and merging operations by utilizing identification information embedded in each document data. The system self-services the complex tasks of categorizing and integrating multiple documents based on their inherent metadata, eliminating the need for manual intervention while maintaining high precision in document management.
Solution Approach 2:
The patent employs feedback mechanisms where the system uses identification information from document data to automatically guide the classification and merging process. This feedback loop allows the system to continuously refine its document management operations based on the characteristics of the documents being processed, reducing manual workload while preserving management precision.
Data Source
AI summary
A non-transitory recording medium storing a program which, when executed by one or more processors, causes the one or more processors to a method. The method includes acquiring a plurality of document data from a memory that stores the plurality of document data. The method includes classifying the plurality of document data based on a merge rule. The method includes merging two or more document data classified to generate merged document data.