智能座舱功能日益复杂，传统人工检测效率低、一致性差且难以追溯。本文研究车机终端产线自动化检测技术，构建兼顾座舱自动化测试与 SOA 接口服务的技术体系，提出“两端一库”框架，攻克多模态交互建模、界面语义解析、跨域服务编排三项关键技术。经“端云一体化电器智能化验证平台”验证，车机专项单车检测时长由人工检测的 30 min 压缩至 10 min，检测一致性与可追溯性得到显著提升。

The functions of intelligent cockpits are becoming increasingly complex, while traditional manual testing suffers from low efficiency, poor consistency, and difficulty in traceability. This paper investigates automated production line testing technologies for head units, constructs a technical architecture covering cockpit automation testing and SOA interface services, proposes a "two-end, one-library" framework, and explores three key technologies: multimodal interaction modeling, interface semantic parsing, and cross-domain service orchestration. Verification through the "end-cloud integrated electrical intelligent verification platform", the special-item testing time for a single-vehicle head unit is reduced from 30 minutes of manual operation to 10 minutes, with significantly improved consistency and traceability.