Streamlining Data Exchange in Intelligent Mines: Cross-System Services Leveraging the Industrial Internet Platform

Streamlining Data Exchange in Intelligent Mines: Cross-System Services Leveraging the Industrial Internet Platform

연구 분야: Databases

학회: 2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)

In the dynamic landscape of mining production, the integration of intelligent systems has revolutionized operations across various domains. This paper addresses the challenges encountered during the construction of intelligent mines, emphasizing disparities in interconnection, data sharing, and protocol standardization. Leveraging the capabilities of Industrial Internet Platforms, we propose a cross-system unified data service tailored for the mining industry. The data model encompasses diverse operations, providing a structured framework for efficient cross-system data exchange. The platform architecture ensures standardized data handling, security, and the provision of interfaces. A low-code configuration tool facilitates plug-and-play functionality, thereby optimizing the efficiency of data interactions. Additionally, microservice containers enhance deployment flexibility. The implementation in an underground coal mine demonstrates significant improvements in data efficiency, security, and integration. The proposed approach offers a comprehensive solution to the challenges of non-standardized and error-prone data interaction within mining subsystems.