# Study on the Determination Method of Cast Blasting Stockpile Forms in an Open-Pit Mine
###### Abstract  
Cast blasting-dragline stripping technology is the most advanced mining technology used in open-pit mines. For a long time, however, its precision has been hindered. In this paper, we aim to improve the precision of cast blasting-dragline stripping technology and promote its intelligent design. We present a method to determine cast blasting stockpile forms. First, the 3D point cloud data for the Heidaigou open-pit mine from recent years were collected and counted, and a 3D mathematical model of overcasting stripping steps was constructed. Then, data classification and multivariate statistical analysis were used to establish a cast blasting stockpile characteristic parameter database. Next, locally weighted linear regression was used as the fitting method to achieve shape fitting under different cast blasting step heights. Finally, interval estimation was used as the fitting result test method to verify the morphology of the acquired cast blasting stockpile form. The research results show that the cast blasting stockpile form obtained by fitting can truly reflect the cast blasting effect of the Heidaigou open-pit mine and ensure the reliability and accuracy of the subsequent design of cast blasting-dragline stripping technology. c 2022 2022 2022 2022 2022 202202 2  
and other researchers simulated the measured blasting pile by introducing the Weibull mathematical model and combining finite group blasting data. Based on ballistic theory and the basic theory of open-pit mines, [PERSON] [8] and [PERSON] [9; 10] effectively predicted the effective throwing rate of cast blasting in open-pit mines by scanning the cast blasting stockpile form before and after cast blasting. [PERSON] [11] used the continuous-discontinuous element method (CDEM) to simulate the whole process of cast blasting in an open-pit mine. [PERSON], [PERSON] [12; 13], and other researchers used general nonlinear theoretical function analysis to gain pertinent information about cast blasting and predict the stockpile form. [PERSON], [PERSON], and other researchers [14; 15; 16; 17; 18; 19; 20; 21] carried out relevant studies on the prediction and measurement of the cast blasting shape. However, a previous study found that determination methods for the cast blasting stockpile form and the vast majority of research on blasting data are limited, and there are more rules and special data. By using linear regression and a neural network algorithm for data analysis and processing, it was found that the prediction results and the real blasting effect in open-pit mines have a deviation that can only represent the local blasting effect. However, when considering cast blasting as a large, complex system, it is understandable that the blasting effect is affected by many factors. On the one hand, geological conditions influence the blasting effect, and these factors include the rock properties, fault depression belt, goat, etc. On the other hand, blasting parameter design also influences the blasting effect; blasting parameter design includes the steps, hole-net parameters, charging structure, the performance of the explosive, and the explosive quantity. If we only rely on a few special blasting parameters' data as the research object, we can only predict the blasting result for a local area and cannot restore the whole cast blasting stockpile form. The results only reflect the local blasting effect of the blasting parameters for blasting design, so the subsequent overcasting stripping system is affected by high-precision design, further increasing the difficulty of the open-pit mine production and construction. Therefore, taking the Heidaigou open-pit mine as a case study, a method to determine the characteristics of the cast blasting stockpile is proposed. This method is different from conventional research on the form prediction of cast blasting stockpiles.