印染需求智能分析系统的设计与实现  

Design and implementation of intelligent analysis system for dyeing requirements

作　　者：唐文辉 刘国华[1] 王国栋 TANG Wenhui;LIU Guohua;WANG Guodong(School of Computer Science and Technology,Donghua University,Shanghai 201620,China)

机构地区：[1]东华大学计算机科学与技术学院,上海201620

出　　处：《智能计算机与应用》2019年第3期103-105,109,共4页Intelligent Computer and Applications

基　　金：科技部国家重点研发计划(2017YFB0309800)

摘　　要：随着"工业4.0"概念的提出和实施以及C2M互联网商业模式的兴起,传统纺织行业正面临着向智能化、服务化转型的难题。本文将传统纺织印染行业与网络信息技术相结合,以报价服务为切入点,应用深度学习以及有限状态自动机理论,基于微服务架构,设计了一套印染需求智能分析系统。为纺织企业的印染报价服务提供了一套高效、智能的解决方案。With the introduction and implementation of the "Industry 4.0" and the rise of the Customer-to-Manufactory Internet business model,the traditional textile industry is facing the challenge of transforming into being intelligent and service-oriented.This paper combines the traditional textile dyeing industry with network information technology,taking the quotation service as the entry point,applying deep learning and the finite-state machine theory,and designs the Intelligent Analysis System For Dyeing Requirements based on microservice architecture.It provides an efficient and intelligent solution for the dyeing quotation service of textile companies.

关 键 词：工业4.0 C2M模式 结构化数据提取 深度学习 有限状态自动机 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]