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| Lerchs-Grossmann 알고리즘× | 광산 환기× | |
|---|---|---|
| 분야 | 광산공학 | 광산공학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1965 | 1880 |
| 창시자≠ | Helmut Lerchs and Israel Grossmann | Mining Engineering Practice |
| 유형≠ | Graph-theoretic algorithm for pit limit optimization | System design for safe air quality and worker cooling in underground mines |
| 원전≠ | Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗ | 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 ↗ |
| 별칭≠ | Lerchs-Grossmann Method, LG Algorithm | Underground Mine Ventilation, Air Flow Design, Mine Haulage Ventilation |
| 관련≠ | 4 | 3 |
| 요약≠ | 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. |
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