Spatial Address Tracking With Environmental Data for Workpiece Quality
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Solution Overview
Problem
Existing methods for tracking and managing workpieces in production processes fail to accurately reflect environmental and process-related quality factors, making it difficult to improve product quality and manage production effectively in smart factories.
Innovation Solution
A spatial address-based management system that assigns unique spatial addresses to workspace segments, incorporating data on workpiece positions, attributes, and process history, allowing for real-time tracking and quality control by dividing the workspace into rows and columns, and using sensors or imaging devices to record and store spatial address data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GIS-based position tracking methods are used to identify workpiece locations, then position identification is achieved, but quality management capability is insufficient because environmental and process attributes are not reflected
Solution Approach 1:
The patent merges GIS position tracking with quality management by integrating environmental sensors (temperature, humidity, vibration) and process data into the spatial address system. This combination allows the system to simultaneously provide precise location identification and comprehensive quality attributes for each workpiece position, resolving the contradiction between position accuracy and quality management capability.
Solution Approach 2:
The spatial address system is designed to serve multiple functions: it tracks workpiece positions, records environmental conditions, stores process history, and enables quality analysis. This multi-functional approach allows a single system to address both position identification and quality management needs, eliminating the need for separate systems and improving overall reliability.
2Productivity
If automatic logistics systems are introduced in smart factories, then productivity is improved, but integration with spatial address management for quality tracking is insufficient
Solution Approach 1:
The system implements feedback mechanisms where quality data and spatial address information are continuously collected, stored, and made available for real-time monitoring and analysis. This feedback loop ensures that automation systems can access and utilize spatial address data for quality control decisions, preventing information loss and enabling data-driven productivity improvements.
3Loss of time
If workpiece movement is tracked using conventional methods, then basic position recording is achieved, but comprehensive quality attribute tracking and defect reduction are not realized
Solution Approach 1:
The system performs preliminary actions by pre-establishing spatial addresses for all workpiece positions and pre-configuring quality parameters before production begins. This preparation enables rapid data collection and analysis during actual production, reducing tracking time while ensuring comprehensive quality attribute capture for defect prevention and analysis.
Data Source
AI summary
The present technology relates to a spatial address-based management system, and the management system includes a spatial address-related information reception part configured to receive spatial address-related data assigned to each of segments generated by dividing a workspace into a plurality of rows and columns, a controller configured to process the spatial address-related data received from the spatial address-related information reception part and transmit the processed data to a spatial address-related data storage part, and the spatial address-related data storage part configured to store the spatial address-related data transmitted from the controller as spatial address data, wherein the spatial address data includes information on a unique position of the spatial address, information on a workpiece that is placed at the spatial address, and information on attributes or properties of the spatial address.