Research and Application of Configurable Massive Heterogeneous Data Management System
Effective management and integration of data from multi-source heterogeneous automation subsystems in mines is a current industry problem. Problems such as inconsistent equipment models and inconvenient collection and configuration need to be solved urgently. Analyze the mine's main electromechanical equipment and its attribute information, establish a unified equipment object model and data object model, and develop an Internet of Things equipment sensor monitoring data configuration management system for PLC, OPC, TCP and other protocols. The system has functions such as online visual configuration of equipment object attribute information, autonomous selection of collection protocols, and adaptive configuration of distributed parsing services. Field application shows that the system improves the collection efficiency of massive heterogeneous data, reduces the difficulty of operation and maintenance, and accelerates the construction of intelligent mines, which has certain reference value.
Authors
- Yunqi Chen
Publication Details
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1109/iccste65902.2025.11138392
- Primary Topic
- Web Data Mining and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00