Article Details

Abstract

With the popularization of lean management concept in the manufacturing industry, the requirements of enterprises for the collection rate, real-time performance and accuracy of key production data are gradually raised. In view of the current situation that a stainless steel hot rolling line lacks material tracking mechanism and cannot realize data interaction with external information systems, this paper proposes a solution based on the Java programming language to build a hot rolling dynamic production dispatching management system and realize data value mining. The application effect shows that the system can realize the whole-process data tracking from slab to coil, and conduct analysis combined with multi-source heterogeneous data, thereby improving the management and control capability.

Keywords

Java; hot rolling production; dispatching management system; data value mining; multi-source heterogeneous data

References

1. [1] Zhang Rui Three ministries and commissions have issued guidance on promoting high-quality development of the steel industry: striving to achieve a digitalization rate of 55% in steel production by 2025 [N]. Economic Daily News, 2022-02-08 (1)
2. [2] Sun Zhengping How can we create high-quality steel? [N] China Metallurgical News, June 24, 2021 (4)
3. [3] Kang Yonglin Progress and Prospects of Steel Rolling Technology in China during the 13th Five Year Plan Period [J]. Steel, 2021, 56 (10): 1-15
4. [4] Wang Long, Ji Xiumei, Liu Jie Application of Artificial Intelligence in Intelligent Manufacturing of Steel Industry [J]. Steel, 2021, 56 (4): 1-8
5. [5] Li Jiangyun, Yang Zhifang, Zheng Junfeng, etc The Application of Deep Learning Technology in the Steel Industry [J]. Steel, 2021, 56 (9): 43-49
6. [6] Shen Shiwu, Huang Shengsheng, Liao Fengfeng, et al. Upgrading of L1/L2 control system and optimization of precision rolling plate shape control for 2032 hot rolling line [J]. Metal World, 2019 (1): 72-75
7. [7] Wang Fenfen, Xie Yong, Xu Xiangyang, etc Design and Application of Hospital DRG Intelligent Operation System [J]. Medical and Health Equipment, 2021, 42 (12): 37-41
8. [8] Yao Canmei Design and Implementation of the Business Information Subsystem for Soil and Water Conservation Monitoring Platform [D]. Beijing: Beijing University of Posts and Telecommunications, 2022
9. [9] He Jia, Pei Shunqiang, Hui Jianzhong, etc Design and Implementation of Meteorological Data Verification Interface Based on RESTful Architecture [J]. Meteorological Research and Application, 2024, 45 (1): 49-55
10. [10] Li Qian, Liu Minhao, Wei Haitao, etc Research on Indicator Monitoring Design of Reverse Proxy Component Nginx [J]. China Media Technology, 2024 (7): 151-154
11. [11] Zhang Tao, Xu Kuan Design and Implementation of High Concurrent Interactive System Based on Redis Cluster Cloud Platform [J]. Broadcast and Television Technology, 2024, 51 (5): 36-40
12. [12] Tang Quan, Zhou Rong, Zhang Yong Application of RabbitMQ message middleware in Spring Boot teaching [J]. Modern Information Technology, 2020, 4 (18): 125-127
13. [13] Zhao Zhihao Research on Metadata Model Technology for Data Lake Warehouse [D]. Jinan: Qilu University of Technology, 2025

Funding

Key R&D Program Project in Guangxi (Guike AB24010233)

About the authors

Teng Peipei (1985-), male, Han ethnicity, from Guilin, Guangxi, senior engineer, master's degree in control engineering, research interests include automation of metallurgical rolling processes and intelligentization.