Industrial internet process management and platform construction in intelligent manufacturing based on blockchain

Yan Zhang, Luoyong Xiang, Wen Chen
{"title":"Industrial internet process management and platform construction in intelligent manufacturing based on blockchain","authors":"Yan Zhang,&nbsp;Luoyong Xiang,&nbsp;Wen Chen","doi":"10.1002/adc2.180","DOIUrl":null,"url":null,"abstract":"<p>The current lack of effective means for information technology to penetrate into the intelligent manufacturing process of products has led to its disconnection from the core links of industrial systems and low efficiency. Therefore, a nonstandard mechanical product lifecycle model and an industrial internet platform data access mechanism have been proposed using blockchain technology, and an industrial internet platform has been constructed based on the two, which has been experimentally verified. The experimental results showed that the calculation methods in the model could overall reduce the average storage of abnormal data in blockchain products by 53.6%. In addition, the maximum time cost of scalar multiplication did not exceed 20 ms, which was lower than that of bi-linear pairing. In the comparison of different schemes, the highest encryption computation cost of the research scheme did not exceed 100 ms, and the highest decryption computation cost did not exceed 200 ms, which was generally lower than the comparison scheme. At the same time, the max, mini, and average time consumption of encrypting order data during decryption operations were 5.74, 1.10, and 2.77 s, respectively. When the simulation request reached 2000, there were only a few exceptions on the platform server, indicating that it could support at least 2000 simultaneous requests from applications. Overall, the industrial internet process management platform constructed through research has high practicality and can meet the actual needs of intelligent manufacturing enterprises.</p>","PeriodicalId":100030,"journal":{"name":"Advanced Control for Applications","volume":"6 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adc2.180","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Control for Applications","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/adc2.180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The current lack of effective means for information technology to penetrate into the intelligent manufacturing process of products has led to its disconnection from the core links of industrial systems and low efficiency. Therefore, a nonstandard mechanical product lifecycle model and an industrial internet platform data access mechanism have been proposed using blockchain technology, and an industrial internet platform has been constructed based on the two, which has been experimentally verified. The experimental results showed that the calculation methods in the model could overall reduce the average storage of abnormal data in blockchain products by 53.6%. In addition, the maximum time cost of scalar multiplication did not exceed 20 ms, which was lower than that of bi-linear pairing. In the comparison of different schemes, the highest encryption computation cost of the research scheme did not exceed 100 ms, and the highest decryption computation cost did not exceed 200 ms, which was generally lower than the comparison scheme. At the same time, the max, mini, and average time consumption of encrypting order data during decryption operations were 5.74, 1.10, and 2.77 s, respectively. When the simulation request reached 2000, there were only a few exceptions on the platform server, indicating that it could support at least 2000 simultaneous requests from applications. Overall, the industrial internet process management platform constructed through research has high practicality and can meet the actual needs of intelligent manufacturing enterprises.

Abstract Image

基于区块链的智能制造中的工业互联网流程管理与平台建设
当前,信息技术缺乏有效手段渗透到产品智能制造过程中,导致其与工业系统核心环节脱节,效率低下。因此,利用区块链技术提出了非标准机械产品生命周期模型和工业互联网平台数据访问机制,并基于二者构建了工业互联网平台,并进行了实验验证。实验结果表明,模型中的计算方法总体上可以将区块链产品中异常数据的平均存储量降低 53.6%。此外,标量乘法的最大时间成本不超过 20 毫秒,低于双线性配对法。在不同方案的对比中,研究方案的最高加密计算成本不超过 100 毫秒,最高解密计算成本不超过 200 毫秒,普遍低于对比方案。同时,在解密操作过程中,加密订单数据的最大、最小和平均耗时分别为 5.74、1.10 和 2.77 s。当模拟请求达到 2000 个时,平台服务器上只有少数异常,这表明它至少可以支持 2000 个应用程序的同时请求。总体而言,研究构建的工业互联网流程管理平台具有较高的实用性,能够满足智能制造企业的实际需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.60
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信