区块链技术综述：在下一代智能制造中的应用

林知微; 张嵩川; 王成吉; 周亦炜

doi:10.11959/j.issn.2096-6652.202248

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区块链技术综述：在下一代智能制造中的应用

综述与展望 | 更新时间：2024-04-04

- 区块链技术综述：在下一代智能制造中的应用
- A survey on application of block chain in next generation intelligent manufacturing
- 智能科学与技术学报 2023年5卷第2期页码：200-211
- 作者机构：
  
  1. 北京理工大学自动化学院，北京 100081
  2. 复杂系统智能控制与决策国家重点实验室，北京 100081
- 作者简介：
  
  [ "林知微（1969- ），女，北京理工大学自动化学院、复杂系统智能控制与决策国家重点实验室副教授，中国人工智能学会机器博弈专业委员会副秘书长，主要研究方向为目标检测、传感器网络以及区块链技术" ]
  [ "张嵩川（1999- ），男，北京理工大学自动化学院硕士生，主要研究方向为目标检测、区块链技术" ]
  [ "王成吉（1997- ），北京理工大学自动化学院硕士生，主要研究方向为目标检测、无监督学习" ]
  [ "周亦炜（1999- ），北京理工大学自动化学院硕士生，主要研究方向为目标检测、数据库技术" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.202248
  中图分类号： TP393
- 修回：2022-08-26，
  
  网络首发：2023-06，
  
  纸质出版：2023-06-15
- 稿件说明：
移动端阅览
林知微, 张嵩川, 王成吉, 等. 区块链技术综述：在下一代智能制造中的应用[J]. 智能科学与技术学报, 2023,5(2):200-211.

Zhiwei LIN, Songchuan ZHANG, Chengji WANG, et al. A survey on application of block chain in next generation intelligent manufacturing[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 200-211.
林知微, 张嵩川, 王成吉, 等. 区块链技术综述：在下一代智能制造中的应用[J]. 智能科学与技术学报, 2023,5(2):200-211. DOI： 10.11959/j.issn.2096-6652.202248.

Zhiwei LIN, Songchuan ZHANG, Chengji WANG, et al. A survey on application of block chain in next generation intelligent manufacturing[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 200-211. DOI： 10.11959/j.issn.2096-6652.202248.

摘要

在我国制造业企业推进数字化转型的进程中，区块链技术引起了研究人员的广泛关注。总结了区块链技术国内外整体研究进展，给出了区块链技术在食品、军工产品供应链追踪和质量管理以及云制造等智能制造领域的应用案例。就区块链的存储问题、可扩展性问题、算力消耗问题和安全隐私问题提出了区块链与智能制造融合应用的建议，以期为后续的研究者提供有价值的研究思路。

Abstract

In the process of promoting digital transformation of Chinese manufacturing enterprises

block chain technology has attracted extensive attention of researchers.The overall research progress domestically and abroad in the field of block chain technology was concluded.The recent researches on block chain technology in manufacturing process of food and military products

cloud manufacturing and other fields were summarized.The future path of combining block chain technology with intelligent manufacturing was predicted from 4 aspects: storage problem

scalability problem

computational power waste problem

security and privacy problem

aiming to provide valuable research ideas for further researchers.

关键词

Keywords

references

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