AI自动填充硬件装配说明书，提升效率降低人工成本。
AiBAT: Artificial Intelligence/Instructions for Build, Assembly, and Test
- 利用AI解析工程图提取信息，自动填充装配文档模板。
- 初步实验显示可显著减少人工编写时间，提升文档生成效率。
- 适合需要频繁生成装配手册的制造业工程师使用。
装配、制造与测试说明（IBAT）是指在硬件操作（包括测试、装配和维护）过程中使用的一系列指导文件。当前生成IBAT文档耗时较长，需人工从工程图纸和零件清单中手动提取并转移信息。随着机器学习与计算机视觉的发展，可借助人工智能模型部分自动填充IBAT模板，从而释放工程师精力，用于更高阶任务。本文提出AiBAT系统，通过分析装配图纸，提取关键信息并解析后自动填充至IBAT模板中。该辅助撰写方式具有节省时间、降低成本的潜力。论文介绍了AiBAT系统的整体架构，展示了有前景的初步结果，并讨论了未来研究方向。
原文摘要 · Abstract (English)
Instructions for Build, Assembly, and Test (IBAT) refers to the process used whenever any operation is conducted on hardware, including tests, assembly, and maintenance. Currently, the generation of IBAT documents is time-intensive, as users must manually reference and transfer information from engineering diagrams and parts lists into IBAT instructions. With advances in machine learning and computer vision, however, it is possible to have an artificial intelligence (AI) model perform the partial filling of the IBAT template, freeing up engineer time for more highly skilled tasks. AiBAT is a novel system for assisting users in authoring IBATs. It works by first analyzing assembly drawing documents, extracting information and parsing it, and then filling in IBAT templates with the extracted information. Such assisted authoring has potential to save time and reduce cost. This paper presents an overview of the AiBAT system, including promising preliminary results and discussion on future work.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。