Patent data have been utilized for engineering design research for long because it contains massive amount of design information. Recent advances in artificial intelligence and data science present unprecedented opportunities to mine, analyse and make sense of patent data to develop design theory and methodology. Herein, we survey the patent-for-design literature by their contributions to design theories, methods, tools, and strategies, as well as different forms of patent data and various methods. Our review sheds light on promising future research directions for the field.

翻译：专利数据长期以来一直用于工程设计研究,因为它包含大量的设计信息; 人工智能和数据科学的最近进展为挖掘、分析和解释专利数据开发设计理论和方法提供了前所未有的机会; 在这里,我们调查专利用于设计设计文献的专利,通过它们对设计理论、方法、工具和战略的贡献,以及不同形式的专利数据和各种方法; 我们的审查揭示了该领域有希望的未来研究方向。