Research on spatio-temporal non-uniformity reduction algorithm and finite element method verification of digital twin model of ultra high-voltage valve side bushing

Efficient algorithms are an important representation and fundamental prerequisite for the interactive capability of digital twin models. The internal influencing factors and evolution characteristics of the ultra-high pressure valve side casing are complex, resulting in a huge amount of calculation for the twin model. The existing literature lacks a fast calculation method to meet the requirements of fast calculation. The application of classical intrinsic orthogonal decomposition (POD), snapshot POD, and singular value decomposition (SVD) POD to the digital twin reduction of the valve side casing has the problem of low efficiency and cannot meet the fast calculation needs of complex parameters in the digital twin model of the valve side casing. This article proposes the spatiotemporal non-uniform POD reduction algorithm suitable for the digital twin model of ultra-high pressure valve side casing. It decomposes into different regions in space and uses non-uniform sampling in time, which can effectively balance the accuracy and timeliness of the calculation of the digital twin model of ultra-high pressure valve side bushing. When calculating model at 0 seconds and 2.5 seconds, the errors of the spatiotemporal heterogeneity POD reduction calculation results were 0.006% and 0.002%, respectively, indicating that the reduction calculation results can meet the accuracy requirements; The calculation time has been reduced from the 2min12s and 3min45s to 6.78s and 9.61s, both of which have decreased by about 95%, significantly improving the calculation efficiency.

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Publication Details

Published
2025-01-16
DOI
https://doi.org/10.1117/12.3054835
Citations
1
Primary Topic
Advanced Machining and Optimization Techniques
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article
Field-Weighted Citation Impact
0.73
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article

Research on spatio-temporal non-uniformity reduction algorithm and finite element method verification of digital twin model of ultra high-voltage valve side bushing

Deng Baojia, Shiling Zhang, Yongsheng He, Liangjun Dai et al.
1 citations
Advanced Machining and Optimization Techniques
0.73
article

Research on spatio-temporal non-uniformity reduction algorithm and finite element method verification of digital twin model of ultra high-voltage valve side bushing

Deng Baojia, Shiling Zhang, Yongsheng He, Liangjun Dai, Pengbo Wang
article en
1 citations

Abstract

Efficient algorithms are an important representation and fundamental prerequisite for the interactive capability of digital twin models. The internal influencing factors and evolution characteristics of the ultra-high pressure valve side casing are complex, resulting in a huge amount of calculation for the twin model. The existing literature lacks a fast calculation method to meet the requirements of fast calculation. The application of classical intrinsic orthogonal decomposition (POD), snapshot POD, and singular value decomposition (SVD) POD to the digital twin reduction of the valve side casing has the problem of low efficiency and cannot meet the fast calculation needs of complex parameters in the digital twin model of the valve side casing. This article proposes the spatiotemporal non-uniform POD reduction algorithm suitable for the digital twin model of ultra-high pressure valve side casing. It decomposes into different regions in space and uses non-uniform sampling in time, which can effectively balance the accuracy and timeliness of the calculation of the digital twin model of ultra-high pressure valve side bushing. When calculating model at 0 seconds and 2.5 seconds, the errors of the spatiotemporal heterogeneity POD reduction calculation results were 0.006% and 0.002%, respectively, indicating that the reduction calculation results can meet the accuracy requirements; The calculation time has been reduced from the 2min12s and 3min45s to 6.78s and 9.61s, both of which have decreased by about 95%, significantly improving the calculation efficiency.

Chongqing University (CN)
Affordable and clean energy
Openalex Percentile: Top 32%
Advanced Machining and Optimization Techniques
0.73
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Research on spatio-temporal non-uniformity reduction algorithm and finite element method verification of digital twin model of ultra high-voltage valve side bushing — Deng Baojia, Shiling Zhang, et al. · (2025) | TGRS Research Map | TGRS