autowerkstatt4null：面向汽车维修厂的车外诊断生态系统
autowerkstatt4null: An Off-Board-Diagnostics Ecosystem for Car-Workshops
浏览论文内容
中文总结 AI 辅助
该项目推出autowerkstatt4null生态系统，为独立汽车维修厂提供AI驱动的联邦诊断技术，通过模块化测量平台等创新助力维修厂获得高级诊断能力，提升行业竞争力与可持续性。
中文摘要 AI 辅助
本文介绍了autowerkstatt4null，这是一项为期三年的计划，旨在为独立汽车维修厂提供由AI驱动的联邦诊断技术。该项目由德国联邦经济事务和气候行动部资助，结合真实用户反馈，通过新开发的技术和架构概念改进了初始诊断工作流程。最终的演示系统展示了多项关键成果：支持灵活硬件集成的模块化测量平台、用于可信协作的安全数据交换中心、将分析与维修厂限制解耦的异步在线诊断，以及支持技术人员技能提升的数字学院。这些创新共同证明，独立维修厂如何能够获得此前仅制造商工具才具备的高级诊断能力，从而增强该行业的竞争力和可持续性。项目代码库可通过此https URL获取。
英文摘要
This paper presents autowerkstatt4null, a three-year initiative to empower independent automotive workshops with AI-driven, federated diagnostics. The project was funded by the German Federal Ministry for Economic Affairs and Climate Action. The project enhanced the initial diagnostic workflow through newly developed technologies and architectural concepts, incorporating real user feedback. The resulting demonstrator showcases key outcomes: a modular measurement platform enabling flexible hardware integration, a secure data exchange hub for trusted collaboration, asynchronous online diagnostics that decouples analysis from workshop constraints, and a digital academy supporting technician upskilling. Together, these innovations demonstrate how independent workshops can access advanced diagnostic capabilities previously limited to manufacturer tools, strengthening competitiveness and sustainability in the sector. The project repository is available at: https://github.com/nabla-B/paper_aw4null-overview.
