A life-cycle digital-twin collaboration framework based on the industrial internet identification and resolution

Fan, Yepeng; Dai, Chaoren; Huang, Si; Hu, Pengcheng; Wang, Xiaoyu; Yan, Man

doi:10.1007/s00170-022-10269-1

Cited by 7 publications

(1 citation statement)

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“…With the development of Industry 4.0 era [3,4], digital twin is gradually being studied and applied in the process industry [5]. In the steel industry, with the applications of technologies such as intelligent data sensing, multi-source heterogeneous data integration, efficient data transmission, digital twin creation, enhanced interaction, and conversion applications, a production line that combines reality with virtuality can be established to realize the optimization of the production process [6].…”

Section: Introductionmentioning

confidence: 99%

Knowledge-data Collaborated Digital Twin Model of Papermaking Process

Liu,

Hong,

2024

Advanced Materials &Amp; Sustainable Manufacturing

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The structure of the drying section in papermaking process is complex and too compacted to install sensors. In order to monitor the parameters in dynamic and manage the process practically with virtual simulations instead of physical experiments, a digital twin-based process parameter visualization model is constructed in this study. Regarding to the possible missing data in the modeling framework, it is proposed to combine industrial data, and knowledge of mechanism with intelligent algorithms to fill in the missing parameters. Upon which, a digital twin-based data visualization model is established using CADSIM Plus simulation software. Both of the knowledge -based mechanism solution model and the random forest-based parametric prediction model perform well, and the predicted parameters can support the digital twin visualization model in CADSIM Plus. Visual modeling of surface condenser in the paper drying section was realized for example, and results show that the model is capable of monitoring the dynamic changes of parameters in real time, so as to support the optimization and decision making of papermaking process such as formation, drying, et al.

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Section: Introductionmentioning

confidence: 99%

Knowledge-data Collaborated Digital Twin Model of Papermaking Process

Liu,

Hong,

2024

Advanced Materials &Amp; Sustainable Manufacturing

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

Zhang,

Xiang,

Chen

2024

Adv Control Appl

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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.

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