Product innovation design process involves a great deal of discrete engineering knowledge, limiting the ability of designers to quickly utilize this knowledge to support design innovation. Nowadays, innovation design based on knowledge graphs has enhanced the ability to explore design knowledge, improving the efficiency of knowledge retrieval. Previous studies have focused on mining more design knowledge to enrich the knowledge graph overlooks the implicit relationships with potential value among design knowledge, wasting design resources. To address these issues, an approach for product innovation design based on implicit knowledge relationship completion in the patent knowledge graph is proposed, which explores the implicit relationships between design knowledge to provide new knowledge satisfying design preferences and enhance the innovativeness of solutions. First, a requirements-function-structure-benefit (RFSB) knowledge ontology is constructed and extracted from the benefit knowledge of patents to build the knowledge graph. Second, an implicit relationship completion model based on the similarity of function or benefit entities explores the implicit relationships, replacing structure entities directly connected to similar function or benefit entities to generate new relationships and outputs novel ideas. Third, a scheme improvement process based on the co-occurrence frequency of requirement and structure knowledge supplements neglected design preferences. Final, a pipeline inspection robot case study is further employed to verify the proposed approach, and a patent knowledge graph assisted design solution prototype system is developed to assist in the utilization of innovative design knowledge. Evaluation results show the significant design potential of the proposed approach in inspiring innovative thinking and knowledge reuse.

中文翻译：

---

专利知识图谱隐式关系补全驱动的产品创新设计方法

产品创新设计过程涉及大量离散的工程知识，限制了设计者快速利用这些知识支持设计创新的能力。如今，基于知识图谱的创新设计增强了设计知识的探索能力，提高了知识检索的效率。以往的研究主要集中在挖掘更多的设计知识来丰富知识图谱，忽视了设计知识之间具有潜在价值的隐含关系，浪费了设计资源。针对这些问题，提出了一种基于专利知识图谱隐式知识关系补全的产品创新设计方法，探索设计知识之间的隐式关系，提供满足设计偏好的新知识，增强解决方案的创新性。首先，构建需求-功能-结构-效益（RFSB）知识本体，并从专利的效益知识中提取出来，构建知识图谱。其次，基于功能或利益实体相似性的隐式关系完成模型探索隐式关系，替换直接连接到相似功能或利益实体的结构实体，以生成新的关系并输出新的想法。第三，基于需求和结构知识共现频率的方案改进过程补充了被忽视的设计偏好。最后，进一步采用管道检测机器人案例研究来验证所提出的方法，并开发了专利知识图辅助设计解决方案原型系统以辅助创新设计知识的利用。评估结果表明该方法在激发创新思维和知识重用方面具有显着的设计潜力。