The blasting operations in open-pit mines are one of the most sensitive and complex mining methods which are defined under special circumstances and specific purposes. The suitable and optimal pattern selection where could be capable to covering the various environmental factors and affected on economic, technical, engineering and safety is the main goal of the operation. The genetic algorithm (GA) is the recommended method to utilizing the optimized pattern for the blasting pattern selection under the many effective parameters which is the variety of noteworthy detected on selected pattern from different mines. In this work the GA used to propose optimal blasting operation pattern by consideration of good coverage with field and geo-parametric in open-pit mine. For this purpose, the optimal design simulation of blasting pattern for open pit mines with one and two work-faces (for two standard 100×100 and 70×40m sides) by the Python programming language was conducted. Based on the results, this algorithm is quite successful in simulating the blasting pattern which it providing field decorations, the collapse (damage) rate and maximized exploitation (excavation). پرونده مقاله

This paper is attempted to present the artificial intelligence based on algorithm which is used the image processing techniques for computer-based simulate of jointed rock slopes in three dimensional condition. For this purpose, the applying the digital image processing has been used for identifying of geometric structures in rock slope and preparing rock mass information. This information is used as a database for generating three dimensional models which is implemented in MATLAB software. The algorithm is utilized for processing input image; generate a main dataset and providing the 3D model of slope, based on geometrical properties and joint set’s network in rock slope. In this regard, several steps processing are conducted on input image that is concluded as pre-processing, main processing, feature extraction, database generation and model preparation. As results, the algorithm is able to generate simplified dataset for preparing the 3D view of the rock slope geometrical conditions. پرونده مقاله