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| Mine ventilation× | Lerchs-Grossmann Algoritmen× | |
|---|---|---|
| Fagområde | Minedrift | Minedrift |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 1880 | 1965 |
| Ophavsperson≠ | Mining Engineering Practice | Helmut Lerchs and Israel Grossmann |
| Type≠ | System design for safe air quality and worker cooling in underground mines | Graph-theoretic algorithm for pit limit optimization |
| Oprindelig kilde≠ | 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. link ↗ | Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗ |
| Aliasser≠ | Underground Mine Ventilation, Air Flow Design, Mine Haulage Ventilation | Lerchs-Grossmann Method, LG Algorithm |
| Relaterede≠ | 3 | 4 |
| Resumé≠ | 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. | 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. |
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