Developing an Approach to Generate a Watertight Mesh Adaptive with Cavity Monitoring System (CMS)

加拿大矿业是北美增长最快的行业之一。根据加拿大的经济行动计划，能源和矿业部门每年为政府提供超过300亿美元的收入，这些钱用于支持医疗保健、教育、加拿大在全球范围内承担着可持续地、最佳地开发和利用矿产资源的责任，地下采矿项目的重要步骤之一是采场监测与建模，分析采场监测与建模的方法，地下挖掘的数据和建模是从数据点集的网格生成开始的。现有的网格生成方法和应用程序在建模和设计计算（如在地下采矿规划和调度中非常重要的开采量计算）中存在精度不高和误差较大的问题，本文的主要目的是提出一种针对采场监测数据的网格生成方法.具体而言，将开发一种技术，通过投资网格生成方法来克服已确定的缺点。在本项目的过程中，将采用分析和数值方法来检查采场监测数据的网格生成方法。通过将数据的相关系数与网格划分方法相结合，可以提高网格划分方法的性能，以达到最佳逼近效果。此外，将采用一种优化方法来优化所提出的停堆监测数据的网格划分方法。它将提供与地下采场优化和设计有关的专题的详细培训，并将包括一种可用于地下采矿采场监测的计算机算法，作为其主要交付成果。

The Canadian mining industry is one of the fastest growing sectors in North America. According to Canada'sEconomic Action Plan, the energy and mining sector provides over $30 billion a year in revenue togovernments-money that supports critical social programs such as health care, education, and public pensions.Canada has a global responsibility to develop and utilize its mineral resources sustainably and optimally.One of the important steps of the underground mining projects is the stope monitoring and modeling.Analyzing stope monitoring data and modeling underground excavations is started with mesh generation on thedata point sets. Current mesh generation methods and applications do not work accurately and pose errors inmodeling and design calculation such as mining volume calculation that is very important in underground mineplanning and scheduling.The main goal of this research is proposing an approach for watertight mesh generation for stope monitoringdata. Specifically, a technique will be developed to overcome the identified drawbacks by investing meshgeneration methods.During the course of this project, analytical and numerical methods will be employed to examine the meshgeneration methods for stope monitoring data. To achieve the best approach, the competency of meshgeneration method can be increased by engaging the concavity coefficient of data with the meshing method. Inaddition, an optimization method would be employed to optimize the proposed meshing approach for stopemonitoring data.This project will be completed with guidance from industry experts at Flairbase Inc. It will provide detailedtraining on topics related to underground stope optimization and design and will include as its majordeliverable a computer algorithm that can be applied in underground mines' stope monitorings.