Design of Deep Learning Platform for New Production Force Measurement and Monitoring Across Chinese Provinces

DOI

10.2991/978-94-6463-710-6_27How to use a DOI?

Keywords

New Quality Productivity; Monitoring Platform; Deep Learning; Data Visualization

Abstract

The New Quality Productivity Dynamic Monitoring Platform integrates 852 indicators using SpringBoot+Vue architecture. Features include automated data collection and LSTM-based prediction. Performance shows 71% efficiency improvement and 4.2% prediction error. Q1 2024 data indicates 0.625 national productivity index, led by eastern regions.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bingfeng Yao
AU  - Zihan Liu
AU  - Qingpo Zhou
AU  - Zheng Li
AU  - Si Shen
PY  - 2025
DA  - 2025/05/14
TI  - Design of Deep Learning Platform for New Production Force Measurement and Monitoring Across Chinese Provinces
BT  - Proceedings of the 2025 4th International Conference on Big Data Economy and Digital Management (BDEDM 2025)
PB  - Atlantis Press
SP  - 228
EP  - 234
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-710-6_27
DO  - 10.2991/978-94-6463-710-6_27
ID  - Yao2025
ER  -