Coal is still a part of energy generation worldwide and has a significant role in the sustainable development of countries. The amount of shallow coal deposits is getting scarce, making efficient underground mining operations crucial for both local and global economies. In underground mining operations, longwall mining is a commonly utilized method to extract deep coal deposits. One of the leading engineering goals in longwall mining is increasing the efficiency of the system by investigating the effects of operational factors on equipment. This paper investigates the shearer performance for a longwall top coal caving operation by discrete event simulation that includes modeling the double-drum shearer, belt conveyors, stage loader, and armored face conveyors (AFC) to evaluate system performance by considering the amount of daily coal production of the shearer. As a result, the most influential factor on mine production is determined and a data-based framework is developed. This study suggests a framework for data collection, data analysis, and the interpretation of the operational data to evaluate the primary production unit’s performance. The models developed for the face coal extraction operations in a longwall top coal caving (LTCC) mine have a bi-directional cutting system and can be implemented in other operations readily.

煤炭仍然是世界范围内能源生产的一部分，对各国的可持续发展具有重要作用。浅层煤层的数量越来越稀少，使得高效的地下采矿作业对当地和全球经济都至关重要。在地下采矿作业中，长壁开采是开采深层煤层的常用方法。长壁开采的主要工程目标之一是通过研究操作因素对设备的影响来提高系统的效率。本文通过离散事件模拟研究了长壁放顶煤作业的采煤机性能，包括对双滚筒采煤机、带式输送机、阶段装载机、和装甲工作面输送机 (AFC)，通过考虑采煤机的每日煤炭产量来评估系统性能。因此，确定了对矿山生产影响最大的因素，并开发了一个基于数据的框架。本研究提出了一个用于数据收集、数据分析和运营数据解释的框架，以评估初级生产单元的性能。为长壁放顶煤 (LTCC) 矿的工作面采煤作业开发的模型具有双向切割系统，可以轻松地在其他作业中实施。以及对运行数据的解释，以评估主要生产单元的性能。为长壁放顶煤 (LTCC) 矿的工作面采煤作业开发的模型具有双向切割系统，可以轻松地在其他作业中实施。以及对运行数据的解释，以评估主要生产单元的性能。为长壁放顶煤 (LTCC) 矿山的工作面采煤作业开发的模型具有双向切割系统，可以轻松地在其他作业中实施。