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Automotive Wiring Diagram Terminology QC System
Featured
Turnkey
Web-based QC system that automates text quality control for Hyundai/Kia automotive wiring diagrams created with ETM-SD
Detects typos/errors based on terminology dictionary DB and recommends alternative terms.
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Roles
PlanningDesignFrontendBackend
Tech Stack
React
TypeScript
Redux Toolkit
Ant Design
NestJS
TypeORM
MariaDB
JWT
Key Features
- Terminology Inspection: Automatic typo/error detection through SVG file text parsing and normalization
- Alternative Term Recommendation: Automatic suggestion of suitable replacement candidates based on text similarity algorithms
- Terminology Dictionary Management: Multi-language term DB management for domestic/export use across ETM
- Project Integration: Automatic ETM-SD project loading and on-premise storage file synchronization
- Work Progress Tracking: Real-time verification of progress based on reviewer completion status
Key Achievements
- SVG Text Parsing Automation: Text element extraction via xml2js-based DOM tree traversal with tspan merge preprocessing
- Binary Search Term Matching: O(log n) term match verification in sorted terminology dictionary
- Levenshtein Distance Algorithm: Real-time similar term recommendation based on edit distance for typo detection
- Concurrent Edit Prevention: In-memory state management for project occupancy tracking and multi-user conflict prevention
- On-premise Storage Synchronization: Automatic synchronization of reviewed schematic files with storage
- Domestic/Export Multi-language Processing: Korean/English term separation inspection with language-specific regex patterns
- Streaming ZIP Download: Memory-efficient compression for large files using Archiver
#QC
#ETM
#SVG
#NestJS
#Automotive
#Terminology Management