让飞机维修检索更准更快，同时满足航空合规要求。
A Compliance-Preserving Retrieval System for Aircraft MRO Task Search
- 用语义搜索+大模型重排序，不替换原有系统
- 检索准确率超90%，查找时间从15分钟缩至18秒
- 适合需要合规的航空维修场景，支持多语言
飞机维修技师（AMTs）高达30%的工作时间用于查阅手册，这在必须可追溯的航空维修（MRO）作业中构成效率瓶颈。本文提出一种合规保留的检索系统，通过在不替代现有认证阅读器的前提下，结合大模型重排序与语义搜索，利用ATA章节层级构建抗版本变更的嵌入表示，并采用视觉-语言解析结构化认证内容，使技术人员可预览排序后的任务并直接在原系统中访问验证过的规程。在4.9万条合成查询上评估，检索准确率超过90%；通过10名持证维修技师的双语对照实验，前10项结果成功率达90.9%，查找时间从6-15分钟降至18秒/任务。结果证明，语义检索可在严格监管条件下有效降低实际多语言维修流程中的操作负担。
原文摘要 · Abstract (English)
Aircraft Maintenance Technicians (AMTs) spend up to 30% of work time searching manuals, a documented efficiency bottleneck in MRO operations where every procedure must be traceable to certified sources. We present a compliance-preserving retrieval system that adapts LLM reranking and semantic search to aviation MRO environments by operating alongside, rather than replacing, certified legacy viewers. The system constructs revision-robust embeddings from ATA chapter hierarchies and uses vision-language parsing to structure certified content, allowing technicians to preview ranked tasks and access verified procedures in existing viewers. Evaluation on 49k synthetic queries achieves >90% retrieval accuracy, while bilingual controlled studies with 10 licensed AMTs demonstrate 90.9% top-10 success rate and 95% reduction in lookup time, from 6-15 minutes to 18 seconds per task. These gains provide concrete evidence that semantic retrieval can operate within strict regulatory constraints and meaningfully reduce operational workload in real-world multilingual MRO workflows.
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