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Research on enterprise informatization architecture of RV reducer integrating edge computing and big data technology
Mingsong Jiang1, Hao Xiang2, Yuhong Han3
1School of Art and Design, Beijing Polytechnic University, Beijing, 100176, China.
Scientific Reports
|July 14, 2026
Summary
This study developed an information management system to address digital transformation challenges for Chinese mechanical enterprises. The system enhances data processing and management, supporting intelligent upgrading.
Area of Science:
- Mechanical Engineering
- Information Systems
- Digital Transformation
Background:
- Small and medium-sized mechanical enterprises in China face significant hurdles in digital transformation, including funding, talent acquisition, and management.
- RV reducer manufacturers specifically require tailored informatization solutions to overcome these challenges.
Purpose of the Study:
- To analyze the informatization needs of RV reducer manufacturers.
- To design and implement an information management system tailored to these needs.
- To provide a practical framework for the digital and intelligent upgrading of small and medium-sized mechanical enterprises.
Main Methods:
- Utilized edge computing to optimize data processing architecture for enhanced speed and efficiency.
- Implemented a three-tier management model for centralized data warehousing and management.
- Developed corporate decision-making, two-way mapping, and workshop digital models for integrated business processes and data management.
- Employed a system integration model to ensure seamless business and data integration.
Main Results:
- The developed information management system effectively meets the initial informatization needs of enterprises.
- The system demonstrates improved data response speed and processing efficiency through edge computing.
- Achieved deep integration of business processes with data management, facilitating efficient operations.
Conclusions:
- The implemented information management system provides crucial technical support for the digital transformation of case enterprises.
- The study offers practical pathways and strategic references for the digital and intelligent upgrading of small and medium-sized mechanical enterprises.
- The system's architecture and models are adaptable for broader application in the mechanical manufacturing sector.
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