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面向缝纫设备运维管理的语言模型构建方法研究

刘冰 刘莹 郑小虎 李廨晨 杜思淇

东华大学学报(英文版)2024,Vol.41Issue(3):315-322,8.
东华大学学报(英文版)2024,Vol.41Issue(3):315-322,8.DOI:10.19884/j.1672-5220.202403019

面向缝纫设备运维管理的语言模型构建方法研究

Exploring Techniques for Building Language Models Targeted at Sewing Equipment Operation and Maintenance Management

刘冰 1刘莹 1郑小虎 2李廨晨 3杜思淇4

作者信息

  • 1. 杭州中服科创研究院有限公司,浙江杭州 311103
  • 2. 东华大学人工智能研究院,上海 201620
  • 3. 东华大学信息科学与技术学院,上海 201620
  • 4. 东华大学机械工程学院,上海 201620
  • 折叠

摘要

Abstract

The intelligent operation and maintenance management of sewing equipment needs to solve the problem of information mining and language model construction of unstructured text,which is of great significance to improve the speed and accuracy of the diagnosis of equipment defects and faults,and realize the intelligent decision-making of equipment maintenance.In this paper,firstly,we propose a method based on bidirectional encoder representations from transformers-conditional random fields(BERT-CRF)to extract key entity information,such as device names and attributes.Then,through the relationship extraction model based on bidirectional gated recurrent unit-attention(BiGRU-Attention),the semantic association between entities is captured effectively to provide support for the construction of the sewing equipment knowledge graph(KG).According to the text analysis scenario of sewing equipment,the model is specially trained and optimized in the task scenarios of text entity recognition,information extraction and fault diagnosis of sewing equipment.Compared with existing deep learning algorithms,the proposed method achieves a 20%to 30%performance improvement on the validation and test sets,demonstrating significant advantages in the recall rate and the accuracy.To facilitate the mining of unstructured text information on sewing equipment,this study provides a reference for constructing a KG that integrates data on flat sewing equipment,including aspects of equipment fault operation,maintenance and flat sewing process route design.

关键词

缝纫设备运行管理/语言模型/实体抽取/关系抽取/知识图谱

Key words

sewing equipment operation management/language model/entity extraction/relation extraction/knowledge graph

分类

信息技术与安全科学

引用本文复制引用

刘冰,刘莹,郑小虎,李廨晨,杜思淇..面向缝纫设备运维管理的语言模型构建方法研究[J].东华大学学报(英文版),2024,41(3):315-322,8.

东华大学学报(英文版)

1672-5220

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