现代制造工程 ›› 2024, Vol. 529 ›› Issue (10): 49-59.doi: 10.16731/j.cnki.1671-3133.2024.10.007

• 智能制造 • 上一篇    下一篇

多品种小批量离散制造过程多源异构数据集成与智能运维方法研究*

何帆1,2, 赵秀栩1,2, 何梦旗1,2, 李娇3, 朱成辉3   

  1. 1 武汉理工大学机电工程学院,武汉 430070;
    2 湖北省数字制造重点实验室,武汉 430070;
    3 韶能集团韶关宏大齿轮有限公司,韶关 512000
  • 收稿日期:2023-10-26 发布日期:2024-10-29
  • 通讯作者: 赵秀栩,教授,博士研究生导师,主要研究方向为制造企业信息化、密封监测与智能调控。
  • 作者简介:何帆,硕士研究生,主要研究方向为工业大数据应用。何梦旗,硕士研究生,主要研究方向为基于数据驱动与知识驱动融合的人工智能。李娇,工程师,主要研究方向为新能源汽车传动齿轮制造关键技术开发。朱成辉,工程师,主要研究方向为新能源汽车传动齿轮制造关键技术开发。E-mail:1040236351@qq.com
  • 基金资助:
    *广东省科技创新战略专项项目(210907104531267)

Research on multi-source heterogeneous data integration and intelligent operation method for multi-variety and small-batch discrete manufacturing process

HE Fan1,2, ZHAO Xiuxu1,2, HE Mengqi1,2, LI Jiao3, ZHU Chenghui3   

  1. 1 School of Mechanical & Electrical, Wuhan University of Technology, Wuhan 430070, China;
    2 Hubei Key Laboratory of Digital Manufacturing, Wuhan University of Technology, Wuhan 430070, China;
    3 Shaoneng Group Shaoguan Hongda Gear Co., Ltd., Shaoguan 512000, China
  • Received:2023-10-26 Published:2024-10-29

摘要: 在多品种小批量离散制造过程中有工艺图样、车间面板记录、机床传感器信号和质检报告单等多源异构工艺信息,如何高效地获取这些来源不一、结构多样的数据,并有效实现数据可视化、挖掘数据的潜在价值是这一类相关制造型企业面临的一个共性问题。传统纸质化工艺信息管理过程中存在信息化程度低、共享性差、获取不实时和安全性弱等弊端。为解决这一问题,研究以齿轮这一典型多品种小批量离散加工产品为对象,提出一种可综合运用图像识别、文字提取、二维码技术和TCP/IP通信等技术的多元异构数据集成方法,设计并开发了可支持文本、图像和传感器数据等多源异构数据集成的智能运维系统,实现了齿轮关键工序的多源异构数据的实时集成获取、轻量化高效管理、价值挖掘及可视化应用。

关键词: 多源异构信息, 离散制造, 工艺信息, 集成系统, 多品种小批量

Abstract: In the multi-variety small-batch discrete manufacturing process, there are multi-source heterogeneous process information such as process drawings, workshop panel records, machine tool sensor signals, quality inspection reports, etc. How to efficiently obtain these data from different sources and diverse structures, effectively realize data visualization, and tap the potential value of data is a common problem faced by this kind of enterprises. In the process of traditional paper-based process information management, there are some disadvantages, such as low informatization degree, poor sharing, not real-time acquisition and weak security. In order to solve this problem, it takes gear, a typical multi-variety and small-batch discrete processing product, as the object, proposes a multi-heterogeneous data integration method that can comprehensively use image recognition, text extraction, two-dimensional code technology, TCP/IP communication and other technologies, and designs and develops an intelligent operation and maintenance system that can support the integration of multi-source heterogeneous data such as text, image and sensor data. It realizes real-time integration of multi-source heterogeneous data acquisition, lightweight and efficient management, value mining and visual application of key gear processes.

Key words: multi-source heterogeneous information, discrete manufacturing, process information, integrated system, multi-variety small batch

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