中煤科工开采研究院有限公司赵国瑞17构建信息实体解决数据利用率低、关联度差以及挖掘不充分等问题提出根据显性和隐性需求分析与挖掘更新信息实体分析信息实体构建虚实映射系统。以煤矿综采系统为例构建对应信息实体完成综采设备信息实体映射监控系统。信息实体映射系统的提出为智慧煤矿信息获取提供技术支持。西安科技大学潘红光18等针对智慧煤矿生产运行智能化、安全生产本质化、运营模式科学化等问题创建智慧煤矿大数据系统

Translation:

Zhao Guorui from China Coal Technology and Engineering Group Mining Research Institute proposed a solution to the problems of low data utilization, poor correlation, and insufficient mining by constructing information entities based on explicit and implicit demand analysis and mining updated information entities, and analyzing the virtual-real mapping system of information entities. Taking the coal mine comprehensive mining system as an example, corresponding information entities were constructed to complete the mapping monitoring system of comprehensive mining equipment information entities. The proposed information entity mapping system provides technical support for smart coal mine information acquisition. Pan Hongguang from Xi'an University of Science and Technology and others created a precise analysis model for smart coal mine big data system to address the problems of intelligent production and operation, essential safety, and scientific operation mode of smart coal mine. The model uses fuzzy mathematics and artificial neural network technology, image segmentation and target detection technology, machine vision and image recognition technology to improve the accuracy of coal mine equipment fault detection, algorithm universality, and behavior prediction ability. A smart system that is self-aware, globally connected, and real-time analyzed is formed to achieve a comprehensive smart system for coal mine production, safety, and environmental protection. Wang Peng from the Information Research Institute of the Ministry of Emergency Management proposed a construction plan and architecture system for a smart mine safety control platform based on big data technology, integrating data collection, storage and governance technology, risk index system construction technology, visual analysis and display technology, comprehensive prediction and warning technology, and video intelligent analysis technology. It lays the foundation for the construction of smart coal mines, expanding the breadth and depth of data and strengthening data security. Li Shuang from China University of Mining and Technology and others proposed a digital, one-stop, and intelligent coal mine risk identification, warning, and handling closed-loop solution, including accurate and comprehensive coal mine perception, precise coal mine risk identification and warning, and technology-intensive coal mine safety management. Based on transparent geological protection technology, coal mine big data platform, and major risk assessment and warning technology, the system achieves "integrated" data, "visualized" elements, and "intelligent" risk assessment. The multi-system intelligent linkage explores a feasible technical route for constructing a complete smart coal mine