Industrial Machine Document Extraction via QR Code Identification
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Solution Overview
Problem
Existing display control systems for industrial machines lack an efficient method to quickly retrieve and display relevant documentation, such as manuals and firmware information, which complicates maintenance and troubleshooting processes.
Innovation Solution
A display control system that uses a portable terminal to obtain identification information from industrial machines via two-dimensional codes, allowing for the extraction and display of specific document information from a cloud server, reducing the need to search through extensive manuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If complete manuals are provided for industrial machines, then all information is available, but it takes too much time to search through extensive documentation
Solution Approach 1:
The patent extracts only the necessary document portions related to the specific industrial machine from the complete manual. The extraction unit identifies and extracts only the relevant sections based on machine identification information, transforming the complete manual into a condensed, machine-specific subset that eliminates unnecessary searching time while preserving all needed information.
Solution Approach 2:
The patent performs preliminary extraction and organization of document information before it is needed. The extraction unit pre-processes the manual by identifying relevant portions based on machine type and specifications, storing these extracted portions in advance so that when a user queries for documentation, the relevant information is already prepared and immediately available without requiring time-consuming searches through the complete manual.
2Loss of information
If document information is stored completely, then all details are accessible, but the system becomes complex and difficult to manage
Solution Approach 1:
The patent segments the complete manual into distinct, manageable portions based on machine identification characteristics. The extraction unit divides the document information into separate segments corresponding to different machine types, models, or specifications. This segmentation allows the system to store and manage only the relevant portions for each machine category, reducing overall system complexity while maintaining information completeness through proper organization and indexing.
Solution Approach 2:
The patent applies local quality by storing and managing document information with specific characteristics tailored to each machine type. Rather than uniformly managing the entire manual, the system identifies and stores only the portions with local relevance to specific machine categories, models, or configurations. This localized approach simplifies system management by focusing resources on the most important information segments while preserving completeness within each local context.
3Adaptability or versatility
If manual searching is required, then all documents can be accessed, but maintenance and troubleshooting become more difficult
Solution Approach 1:
The patent implements self-service by enabling the system to automatically identify and extract relevant document portions without requiring manual searching or user intervention. When a user provides machine identification information, the extraction unit autonomously processes the manual, identifies relevant sections, and presents them immediately. This automated self-service approach maintains versatile document accessibility while dramatically improving maintenance efficiency by eliminating the need for users to manually search through extensive documentation.
Data Source
AI summary
An identification information obtaining unit obtains identification information which is assigned in order to identify an industrial machine. An extraction target identifying unit identifies as an extraction target a portion of the document information accumulated in advance, based on the identification information. An extracting unit extracts the extraction target from the document information. A display unit displays what is extracted by the extracting unit.