Сравнение методов

	Алгоритм Лерхса-Гроссмана	Рудничная вентиляция	Оптимизация планировки очистных выработок
Область	Горное дело	Горное дело	Горное дело
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Год появления	1965	1880	1960
Автор метода	Helmut Lerchs and Israel Grossmann	Mining Engineering Practice	Mining Engineering Practice
Тип	Graph-theoretic algorithm for pit limit optimization	System design for safe air quality and worker cooling in underground mines	Optimization framework for underground mine excavation design
Основополагающий источник	Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54.	Hartman, H. L., Mutmansky, J. M., Ramani, R. V., & Wang, Y. J. (2012). Mine ventilation and ambient air quality. Society for Mining, Metallurgy & Exploration, Inc.	Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media.
Другие названия	Lerchs-Grossmann Method, LG Algorithm	Underground Mine Ventilation, Air Flow Design, Mine Haulage Ventilation	Stope Design, Underground Mine Layout, Panel Design
Связанные	4	3	3
Сводка	The Lerchs-Grossmann Algorithm is a graph-theoretic method for determining the ultimate pit limit in open-pit mining operations. Introduced by Helmut Lerchs and Israel Grossmann in 1965, it maximizes the net present value of extracted ore while respecting slope stability constraints. This algorithm forms the theoretical foundation for most modern pit optimization software.	Mine ventilation is the design and operation of systems that deliver fresh air to underground mining areas and remove contaminated air, heat, and hazardous gases. It is critical for worker safety and productivity, maintaining breathable air (sufficient oxygen, low dust and gas concentrations) and acceptable temperatures. Proper ventilation design requires calculating heat loads from mining operations, determining required air volumes, and designing shaft/drift geometry to deliver adequate flow.	Stope layout optimization is the process of designing the size, shape, and spatial arrangement of underground mine excavations (stopes) to maximize ore recovery while maintaining safety and economic viability. It balances the desire for large extraction volumes against rock mechanics constraints and support costs. The layout determines mining productivity, capital investment in support systems, and long-term mine life.