Core Insights - The coal industry is undergoing a necessary transformation towards digitalization and intelligent management to ensure energy security in China [1] Group 1: Challenges Faced - Challenge One: Low Level of Information Technology - The dispersed mining points operate independently, creating "information silos" that hinder efficient data aggregation and intelligent management [2] - Challenge Two: Complicated Supervision - The complex underground working environment makes personnel supervision difficult, with safety hazard inspections still relying on traditional manual methods, posing ongoing safety risks [3] Group 2: Solutions Implemented - Development of an Intelligent Management Platform - A tailored intelligent management platform was created to address the industry's pain points, focusing on three core nodes to enhance information technology [3] - Front-End Deployment of Edge Nodes - Key areas such as mining faces, transportation tunnels, and equipment rooms are equipped with edge nodes to collect real-time data on environmental parameters, equipment operation, and personnel actions [4] - High-Performance Computing Node - The platform utilizes the Yiwanke R322N7+ server as its computational core, combined with Intel C741 server chipsets and 32 DDR5 memory sticks, to support efficient operations across production scheduling, equipment maintenance, and safety management [7] Group 3: Storage Solutions - Distributed Storage Node Configuration - The new generation distributed storage DM5000 provides block, file, and object storage services, accommodating vast amounts of structured, semi-structured, and unstructured data [9] - High Reliability and Scalability - The storage system boasts high reliability (99.999%) and can scale to exabyte levels, ensuring seamless migration of traditional business operations and integration with various cloud environments [8][9] Group 4: Outcomes Achieved - Enhanced Safety and Efficiency - The implementation of the intelligent management platform has led to significant improvements in safety and operational efficiency, with proactive danger prevention through high-speed data decoding and predictive analytics [10] - Cost Reduction and Efficiency Gains - The project has achieved comprehensive digital coverage, accelerating data processing and enabling the company to reduce costs while increasing efficiency [10]