Vehicle Sequence Management via Smart Tag Detection
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Solution Overview
Problem
In vehicle production lines, manual changes to sequence information can lead to sequence errors due to blank pitches, causing inconsistencies between actual vehicle sequences and planned sequences, resulting in defective products and reduced efficiency.
Innovation Solution
A system and method utilizing smart tags with RFID, acceleration sensors, and a server to monitor and automatically adjust sequence information in real-time, ensuring accurate tracking and updating of vehicle positions and sequences within the production line.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual changes to sequence information are performed by operators, then sequence information can be adjusted according to blank pitch occurrence, but sequence errors occur due to missed or erroneous changes, causing inconsistency between actual vehicle sequences and sequence information
Solution Approach 1:
The system enables self-service by having the sequence management server automatically detect blank pitch events and update sequence information without human intervention. The server monitors vehicle positions through smart tags, identifies when vehicles are removed or added to the production line, and autonomously recalibrates sequence information to match actual vehicle sequences, eliminating reliance on manual operator actions.
Solution Approach 2:
The system implements feedback by continuously monitoring actual vehicle sequences through smart tags and comparing them against stored sequence information. When discrepancies are detected (indicating blank pitch events), the system generates feedback signals to trigger automatic updates of sequence information, ensuring continuous alignment between planned and actual production sequences.
2Adaptability or versatility
If manual sequence information changes are performed, then adjustments can be made for blank pitch, but time is lost due to operator intervention and potential production line stoppage
Solution Approach 1:
The sequence management server performs self-service by automatically detecting blank pitch events through smart tag data and updating sequence information in real-time without requiring operator intervention. This eliminates time losses associated with manual sequence adjustments and prevents production line stoppages, maintaining continuous operation while adapting to sequence changes.
Solution Approach 2:
The system ensures continuity of useful action by maintaining uninterrupted monitoring of vehicle sequences through smart tags and continuously updating sequence information as blank pitch events occur. This real-time automatic adjustment mechanism eliminates idle time and keeps the production line operating continuously without interruptions for manual sequence management.
3Device complexity
If sequence information is not automatically updated, then system complexity remains lower, but sequence errors lead to defective products due to incorrect part assembly
Solution Approach 1:
The sequence management server provides self-service functionality by automatically detecting sequence deviations through smart tag data and correcting sequence information without human intervention. This automatic self-correction mechanism prevents sequence errors that would lead to incorrect part assembly, thereby maintaining high product quality while managing system complexity through automation rather than manual procedures.
Solution Approach 2:
The system uses feedback mechanisms to continuously compare actual vehicle sequences (detected via smart tags) with stored sequence information. When feedback indicates a discrepancy, the system automatically updates sequence information to match actual conditions, preventing manufacturing errors and ensuring product quality without requiring complex manual verification processes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution prevents sequence errors by automatically updating sequence information based on real-time data from smart tags, reducing defects and maintaining production line efficiency by ensuring consistent vehicle processing.
Implementation Method 1
smart tags respectively attached to vehicles which are sequentially moved in a production line; a tag recognition device disposed in the production line and receiving data from the smart tag
Data Source
AI summary
A system for sequence management of vehicles may include: smart tags respectively attached to each of vehicles which are sequentially moved in a production line; a tag recognition device disposed in the production line and receiving data from the smart tags and sensing whether the smart tags enter respective process areas and an actual vehicle sequence through the data; and a server storing sequence information of the vehicles, receiving the actual vehicle sequence from the tag recognition device, comparing the sequence information and the actual vehicle sequence, and determining whether a sequence error occurs in the sequence information, and when the error occurs in the sequence information, changing the sequence information to the actual vehicle sequence.