App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 7

Digital twin process prediction model based on concept drift detection

Xiong Zhengyun1
Fang Xianwen1,2
1. College of Mathematics & Big Data, Anhui University of Science & Technology, Huainan 232001, China
2. Anhui Province Engineering Laboratory for Big Data Analysis & Early Warning Technology of Coal Mine Safety, Huainan 232001, China
DOI: 10.19734/j.issn.1001-3695.2023.11.0541

Abstract

Predictive process monitoring can provide timely information during the operation of business processes, in order to take measures to address potential risks. How to improve the accuracy of process prediction has always been highly concerned. Most of the existing research methods focus on process prediction in static environments, with few combine digital twin technology for process prediction in dynamic environments. To this end, this paper proposed a method based on concept drift detection and constructed a digital twin process prediction model to predict the next activity. Firstly, this method used behavioral relationship between event streams and weight divergence to extract features from activities in the process and obtained the feature sets of data flows. Secondly, this method performed drift detection. It dynamically selected feature sets and input them into the artificial intelligence model for training and predicting the next activity. Then, it used advanced technologies such as the Internet of Things and cloud computing to create a digital twin virtual environment. Finally, this paper proposed a digital twin model based on concept drift. It carried out evaluation and analysis on publicly available datasets, and the experimental results showed that the proposed method can improve the effectiveness of prediction.

Foundation Support

国家自然科学基金资助项目(61572035)
安徽省重点研究与开发计划项目(2022a05020005)
安徽省自然科学基金资助项目(水科学联合基金)(2308085US11)
安徽理工大学研究生创新基金资助项目(2022CX2137)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0541
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 7

Publish History

[2024-03-11] Accepted Paper

Cite This Article

熊正云, 方贤文. 基于概念漂移检测的数字孪生流程预测模型 [J]. 计算机应用研究, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0541. (Xiong Zhengyun, Fang Xianwen. Digital twin process prediction model based on concept drift detection [J]. Application Research of Computers, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0541. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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