工业大数据分析综述：模型与算法

王宏志; 梁志宇; 李建中; 高宏

doi:10.11959/j.issn.2096-0271.2018051

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工业大数据分析综述：模型与算法

研究 | 更新时间：2024-06-03

- 工业大数据分析综述：模型与算法
- Survey on industrial big data analysis:models and algorithms
- 大数据 2018年4卷第5期页码：2018051
- 作者机构：
- 作者简介：
  
  [ "王宏志（1978-），男，博士，哈尔滨工业大学计算机科学与技术学院教授，博士生导师，主要研究方向为大数据。" ]
  [ "梁志宇（1994-），男，哈尔滨工业大学计算机科学与技术学院硕士生，主要研究方向为大数据。" ]
  [ "李建中（1950-），男，哈尔滨工业大学计算机科学与技术学院教授，博士生导师，主要研究方向为大数据、物联网。" ]
  [ "高宏（1966-），女，博士，哈尔滨工业大学计算机科学与技术学院教授，博士生导师，主要研究方向为大数据、物联网。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(U1509216);国家自然科学基金资助项目;The National Natural Science Foundation of China(61472099);国家自然科学基金资助项目;The National Natural Science Foundation of China(61602129);国家重点研发计划基金资助项目;The National Key Research and Development Program of China(2016YFB1000703);黑龙江省留学回国人员基金资助项目;The Scientific Research Foundation for the Returned Overseas Chinese Scholars of Heilongjiang Provience(LC2016026)
- DOI：10.11959/j.issn.2096-0271.2018051
  中图分类号： TP31
- 网络首发：2018-09，
  
  纸质出版：2018-09-15
- 稿件说明：
移动端阅览
王宏志, 梁志宇, 李建中, 等. 工业大数据分析综述：模型与算法[J]. 大数据, 2018,4(5):2018051.

Hongzhi WANG, Zhiyu LIANG, Jianzhong LI, et al. Survey on industrial big data analysis:models and algorithms[J]. Big Data Research, 2018, 4(5): 2018051.
王宏志, 梁志宇, 李建中, 等. 工业大数据分析综述：模型与算法[J]. 大数据, 2018,4(5):2018051. DOI： 10.11959/j.issn.2096-0271.2018051.

Hongzhi WANG, Zhiyu LIANG, Jianzhong LI, et al. Survey on industrial big data analysis:models and algorithms[J]. Big Data Research, 2018, 4(5): 2018051. DOI： 10.11959/j.issn.2096-0271.2018051.

摘要

随着条形码、二维码、RFID、工业传感器、自动控制系统、工业互联网、ERP、CAD/CAM/CAE等信息技术在工业领域的广泛应用，大量与工业生产活动相关的数据被实时采集并存储到企业的信息系统中。对这些数据进行分析，有助于改进生产工艺、提高生产效率、降低生产成本，为实现智能制造奠定基础。因此，工业大数据分析引起了工业界和学术界的广泛关注。模型和算法是大数据分析理论和技术中的两个核心问题。介绍了工业大数据分析的基本概念，综述了几种流行的工业大数据分析模型在工业大数据分析领域的应用情况以及相应求解算法方面的研究成果，并探索了大数据分析模型和算法的未来研究方向。

Abstract

With the wide application of bar code

two-dimensional code

RFID

industrial sensor

automatic control system

industrial Internet

ERP and CAD/CAM/CAE techniques in industry

a large number of data related to industrial production are collected and stored in information system in real time.Analyzing those data can help to improve the production techniques

optimize the production process

reduce the production costs

laying the foundation for intelligent manufacturing.Therefore

the industrial big data analysis has drawn much attention of both industry and academia in recent years.Models and algorithms are two core issues of big data analysis theory and techniques.The concept of industrial big data analysis was introduced

and the applications of several popular models and the research results of the corresponding algorithms were reviewed

and future research directions in this area were explored.

关键词

Keywords

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