基于知识图谱的墙板加工外协业务模型构建方法

A Method for Constructing an Outsourcing Business Model for Wallboard Processing Based on Knowledge Graphs

关键词:  造纸类机械  墙板外协  模型构建  知识图谱

Key Words:papermaking machinery  wallboard outsourcing  model construction  knowledge graphs

摘要:本课题针对云制造模式下造纸类机械的墙板外协加工过程中面临的数据多源异构、产品质量一致性差的问题，提出了一种基于知识图谱的墙板外协模型构建方法。根据工艺参数、工艺装备等加工信息及其内在关联，采用融合七步法与骨架法的本体建模策略，提出了一种改进BiLSTM-CRF的抽取算法，引入了基于BERT的余弦相似度算法来优化共指消解过程，运用Neo4j图数据库进行知识存储与图谱构建。结果表明，所提抽取算法在自创数据集上，准确率、召回率和F1值均优于对比模型，显著提高了外协加工过程中信息流转与决策支持的效率。

Abstract:Aiming at the problems of multi-source heterogeneous data and inconsistent product quality consistency in the outsourcing processing of papermaking machinery wallboard under the cloud manufacturing paradigm， this paper proposed a method of building the outsourcing model of wallboard based on knowledge graph. The method analyzed the processing information such as process parameters and equipment， as well as their inherent relationships. An ontology modeling strategy was employed， combining the seven-step method and skeleton method. An improved BiLSTM-CRF extraction algorithm was introduced， along with a BERT-based cosine similarity algorithm for entity semantic coreference resolution. Neo4j graph database was used for knowledge storage and graph construction. The results showed that the proposed extraction model outperformed the comparison models in terms of precision， recall， and F1-score on the self-created dataset， significantly improving the efficiency of information flow and decision support during the outsourcing processing process.