摘要
新的技术背景下,矿井通风网络解算实现全网、实时、动态成为可能,给进一步研究提供广阔空间。本文重点讨论矿井通风任务底层逻辑引发的深层次问题、影响自然风压的大数据特征、实时动态解算模型构建。研究认为,极端天气引起的自然风压变化与矿井通风密切相关,应将极端天气自然风压动态变化因素纳入通风防灾体系中持续跟踪;自然风压随着四季、昼夜变化,对矿井通风影响很小,但极端天气会带来自然风压的剧烈变化,这些变化受多参数动态影响,具备大数据的基本特征;提出构建大模型的初步构思,将气象变化模型纳入矿井通风网络解算模型。智能通风在解算大模型的支持下将成为现实,这一成果为后续研究提供了基本技术路径和初步理论遵循。
With the new technical background,the solution for mine ventilation networks can now be realized fully,dynamically and in real-time,which opens up significant opportunities for further research.This paper focuses on addressing the deep-seated issues arising from the underlying logic of mine ventilation missions,the characteristics of big data that influence natural wind pressure,and development of a real-time dynamic solution model.The study posits that changes in natural wind pressure due to extreme weather conditions are closely linked to mine ventilation.Therefore,the dynamic factors affecting natural pressure caused by extreme weather should be incorporated into the ventilation disaster prevention system for continuous monitoring.While natural wind pressure exhibits seasonal and diurnal variations that minimally impact mine ventilation,extreme weather can lead to drastic changes in natural wind pressure.These changes are dynamically influenced by numerous parameters and exhibit the fundamental characteristics of big data.A preliminary framework for constructing a large-scale model is proposed,which includes a meteorological change model integrated into the mine ventilation network solution.With the support of this large model,intelligent ventilation can become a reality,providing essential technical pathways and foundational theoretical frameworks for further research.
作者
尹子墁
马尚权
谢宏
YIN Ziman;MA Shangquan;XIE Hong(North China Institute of Science and Technology,Yanjiao 065201,China)
出处
《华北科技学院学报》
2025年第5期32-37,67,共7页
Journal of North China Institute of Science and Technology
关键词
矿井通风网络解算
大数据
大模型
智能通风
自然风压
mine ventilation network solving
big data
large models
intelligent ventilation
natural wind pressure
