羧甲基纤维在矿井通风管中的应用及GIS非稳态模型优化

The application of carboxymethyl fibres in mine ventilation pipes and optimization of GIS intelligent mine non-stationary system

随着人工智能和物联网等先进技术的发展,“智能矿井”的建设正在大力推进,将羧甲基纤维素钠作为喷涂材料应用在矿井通风管道,可以提高矿井通风性能;但目前较少研究喷涂材料在矿井中的通风性能。研究旨在将地理信息系统(GIS)与非稳态通风网络模型结合起来,为决策系统提供基于位置的信息和在线实时支持,提出了一个基于GIS的非稳态网络模型,并介绍了其算法。设计开发了3D VentCloud的网络原型系统。结果表明,该系统基于前端和后台技术,有效地实现了所提出的算法;对模型进行了验证,将该系统应用于煤矿喷涂材料通风管道方案,证明了该模型的合理性和实用性。

With the development of advanced technologies such as artificial intelligence and the Internet of Things,the construction of“intelligent mines”is being vigorously promoted.Applying sodium carboxymethyl cellu⁃lose as a spraying material to mine ventilation ducts can greatly improve the ventilation performance of the mine,but there is currently less research on the ventilation performance of spraying materials in the mine.Therefore,this study aims to combine geographic information systems(GIS)with unsteady state ventilation network models to pro⁃vide location based information and online real-time support for decision-making systems.Firstly,a GIS based un⁃steady network model was proposed,and its algorithm steps were introduced.Secondly,a network prototype system called 3D VentCloud was designed and developed.The research results show that the system effectively integrates the proposed algorithm based on front-end and terminal technologies.At the same time,the model was validated,and the system was applied to a real coal mine spraying material ventilation pipeline project,showing that the mod⁃el is reasonable and practical.