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Method for Location of an External Dump in Surface Mining Using the A-Star Algorithm

机译:A-Star算法的露天采矿外部堆场定位方法

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The construction of a surface mine always involves the necessity of accessing deposits through the removal of the residual overburden above. In the beginning phase of exploitation, the masses of overburden are located outside the perimeters of the excavation site, on the external dump, until the moment of internal dumping.In the case of lignite surface mines, these dumps can cover a ground surface of several dozen to a few thousand hectares. This results from a high concentration of lignite extraction, counted in millions of Mg per year, and the relatively large depth of its residual deposits.Determining the best place for the location of an external dump requires a detailed analysis of existing options, followed by a choice of the most favorable one.This article, using the case study of an open-cast lignite mine, presents the selection method for an external dump location based on graph theory and the A-star algorithm. This algorithm, based on the spatial distribution of individual intersections on the graph, seeks specified graph states, continually expanding them with additional elementary fields until the required surface area for the external dump ?defined by the lowest value of the occupied site – is achieved. To do this, it is necessary to accurately identify the factors affecting the choice of dump location. On such a basis, it is then possible to specify the target function, which reflects the individual costs of dump construction on a given site. This is discussed further in chapter 3.The area of potential dump location has been divided into elementary fields, each represented by a corresponding geometrical locus. Ascribed to this locus, in addition to its geodesic coordinates, are the appropriate attributes reflecting the degree of development of its elementary field. These tasks can be carried out automatically thanks to the integration of the method with the system of geospatial data management for the given area.The collection of loci, together with geodesic coordinates, constitutes the points on the graph used during exploration. This is done using the A-star algorithm, which uses a heuristic function, allowing it to identify the optimal solution; therefore, the collection of elementary fields, which occupy the potential construction area of a dump, characterized by the lowest value representing the cost of occupation and dumping of overburden in the area.The precision of the boundary, generated by the algorithm, is dependent on the established size of the elementary field, and should be refined each time by the designer of the surface mine.This article presents the application of the above method of dump location using the example of “Tomis?awice,” a lignite surface mine owned by PAK KWB Konin S.A. The method made it possible to identify the most favorable dump location on the northeast side of the initial pit, within 2 kilometers of its surrounding area (discussed further in chapter 3).This method is universal in nature and, after certain modifications, can be implemented for other surface mines as well.
机译:露天矿的建设始终涉及通过清除上面残留的覆盖层来获取矿床的必要性。在开采的开始阶段,上覆岩体位于开挖场地的外围之外,位于外部堆放场中,直到内部倾倒之前。对于褐煤露天矿,这些堆放场可以覆盖多个地面。十二至数千公顷。这是由于褐煤的高浓度开采(每年数百万Mg数)及其残留沉积物相对较大的深度所致。确定外部垃圾场的最佳位置需要对现有方案进行详细分析,然后再进行分析。本文以某露天褐煤矿为例,提出了一种基于图论和A-star算法的外部堆场选址方法。该算法基于图形上各个交点的空间分布,查找指定的图形状态,并用其他基本场对其进行连续扩展,直到达到外部垃圾堆所需的表面积(由占用位置的最低值定义)为止。为此,必须准确地识别影响转储位置选择的因素。在此基础上,可以指定目标功能,以反映给定站点上的垃圾场建设的各个成本。这将在第3章中进一步讨论。潜在的转储位置区域已划分为基本字段,每个字段均由对应的几何轨迹表示。除了其测地坐标外,归因于此轨迹的还有反映其基本场发展程度的适当属性。由于该方法与给定区域的地理空间数据管理系统相集成,因此可以自动执行这些任务。位点的收集以及测地坐标构成了勘探过程中使用的图上的点。这是使用A-star算法完成的,该算法使用启发式功能,从而可以确定最佳解决方案。因此,基本场的集合占据了一个垃圾场的潜在建筑区域,其特征在于最小值代表了该区域的覆盖层的占用和倾倒成本。算法产生的边界精度取决于确定的基本场大小,并且应由露天矿山的设计者每次进行完善。本文以“ Tomis?awice”(由褐煤拥有的褐煤露天矿)为例,介绍了上述转储位置方法的应用。 PAK KWB Konin SA该方法使得可以在初始矿坑东北侧,距其周围区域2公里以内找到最有利的倾卸位置(在第3章中有进一步讨论)。修改,也可以用于其他露天矿。

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