{"number":"CN114579875B","kindCode":"B","documentType":"grant","title":{"original":"基于知识图谱的设备故障诊断与维修知识推荐系统","english":"Equipment fault diagnosis and maintenance knowledge recommendation system based on knowledge graph"},"abstract":{"original":"本发明提出了一种基于知识图谱的设备故障诊断与维修知识推荐系统，所述系统包括：数据层，用于采集监测设备的健康管理领域知识；构建分析层，用于对健康管理领域知识进行萃取并构建知识图谱，利用链路预测对知识图谱进行推理与补全，基于补全推理好的知识图谱，利用知识图谱特征学习与协同过滤推荐算法相结合，计算相似度，进行设备诊断与维修知识预测排序；应用层，用于根据设备诊断与维修知识预测排序为监测设备提供异常状况下的故障诊断和正常运行状态下的趋势预测分析，实现设备故障原因和维修方案推荐。","english":"The present invention proposes an equipment fault diagnosis and maintenance knowledge recommendation system based on a knowledge graph. The system includes: a data layer, which is used to collect the knowledge in the health management field of monitoring equipment; Extract and build a knowledge graph, use link prediction to reason and complete the knowledge graph, and use the knowledge graph feature learning and collaborative filtering recommendation algorithm based on the knowledge graph to complete the reasoning to calculate the similarity, and perform equipment diagnosis and maintenance.…"},"applicants":["University of Chinese Academy of Sciences"],"inventors":["肖潇","张玲玲","叶含瑞","季续国"],"filingDate":"2022-03-03","publicationDate":"2022-09-27","grantDate":"2022-09-27","verifiedWithOffice":false,"pdfUrl":"https://downloadpatent.com/pdf/CN114579875B.pdf","pages":{"en":"https://downloadpatent.com/patent/CN114579875B","zh-Hant":"https://downloadpatent.com/zh-Hant/patent/CN114579875B","ja":"https://downloadpatent.com/ja/patent/CN114579875B"}}