In the actual production process of the mine, it is often faced with problems such as large amount of ore distribution data, limited constraints, long manual preparation time, slow production information transmission, and low work efficiency. Therefore, scientific mineral processing has become an effective method to solve such problems. In recent years, the ore blending technology has been extensively studied and the results are fruitful [1-5]. In order to further improve the efficiency of open-pit mine ore blending, this study takes the three stope of Anqian Mining Company as an example. According to the actual situation of the mine, an open-pit mine comprehensive blending model that meets the target grade and has the least transport capacity is proposed. Where, Os, i, j are decision variables, indicating whether the s stop, the i-th level, and the j-th mination point are mined. If Os, i, j=1, it means mining, if Os, i, j=0, indicating that it is not mined; xnc1 is the amount of ore delivered to the c1 crushing station at the nth point of the x stop; ync1 is the amount of rock delivered to the c1 crushing station at the nth point of the y stop; Maxc1 is the maximum crushing capacity of the c1 crushing station; xnc2 is the amount of ore delivered to the c2 crushing station at the nth mining point of the x stop; maxc2 is the maximum crushing capacity of the c2 crushing station; znc3 is the nth of the z stop The amount of ore delivered to the c3 crushing station at the mining point; ync3 is the amount of rock delivered to the c3 crushing station at the nth point of the y stop; maxc3 is the maximum breaking energy of the c3 crushing station The upper and lower limits of the ore production of the three stopes can be expressed as The constraints on the mining capacity of the mining point can be expressed as Where q is the maximum production capacity of a mining site within the constraints. Where tn is the specific grade of each point; in this study G1=24%, Where s is the distance. Article source: "Modern Mining"; 2017.1 Author: Xiong Hongqi, Sun Guang thick, Luan Hui, Li Chunyang; Anshan Iron and Steel Group Mining Co., saddle one thousand mining; Yang Chi; School of Software, Liaoning University of Science and Technology Copyright: Large area essential oil aroma diffuser machine for big space, industrial scent diffuser for shopping mall, commercial building air port use metal HVAC scent machine with big capacity 1000ml, 5000ml bottle, work with air condition or land standing, coverage 5000 CBM, 7000 cubic meter, with timer mobile App smart control. Big Area Diffuser Machine,Commercial Diffuser Machine,Scent Machine,Scent Diffuser Machine Guangzhou Tang Mei Environmental Protection Technology Co.,Ltd , https://www.tonemys.com
1Comprehensive mineralization model construction
The upper and lower limits of the crushing capacity of the three stop crushing stations can be expressed as 
Force; k is the number of mining periods, k ≥ 0.
The constraint of the target element grade can be expressed as
G2 = 24.5%, G3 = 25%.
The 0-1 integer programming model for coordinated mining and mining in multi-series mining area under the above constraints, with the minimum transport function as the objective function, ie
2 application examples
2.1 Project Overview
The mining division of Anqian Mining Company is divided into three mining sites: Xudonggou, Dumbaling and Xidabei. Among them, the Xudonggou mining site is divided into 1#～6# mining areas according to the mining order of the construction period, 1#, 2# Due to the large difference between the ore mining grade and the design grade, the mining area is currently taking measures to reduce the unit cost of the ore; the 3#～5# mining area is due to the collapse of the upper end of the rock, from the level of +96m, the whole plate The pressure boundary is 67m, which leads to a sharp decrease in the mining space below. The ore production capacity can no longer meet the continuous demand of production, and the high grade ore on the +84~+60m level cannot be produced, which makes the mining complex comprehensively difficult. . Dumb Ridge Mountains and around the lower part of being dumb Ridge focused on stope most high-grade ore, iron ore mainly iron quartzite (poor iron), and sandwiched a variety of schist, dikes and a small amount of rich iron ore, There is only one lean iron ore body available for large-scale open-pit mining, that is, the main iron ore layer. In addition, some small-scale iron ore lens bodies are distributed in the thousands of rock layers on the upper body of the ore body. In addition to the in-surface minerals available for mining, there are a large number of extremely poor mines in the realm. Lean ore types are divided into natural hematite artifacts quartz rock, quartzite hematite, magnetite quartzite, tremolite - actinolite quartzite or green clay magnet, the magnet artifacts hematite quartzite and tremolite - actinolite Or green mud magnets fake like hematite quartzite. According to the design, the average grade of the whole deposit is 28.13%, the average grade within the boundary is 28.58%, and the harvested grade is 27.72%. However, in actual production, the ore grade of the stope is only about 26.5%. At present, in view of the fact that the high-grade ore body in the lower part of the Dongdong mining site has not been exposed, the ore of the Xida back mining site is poorly selectable and cannot be selected in large quantities. Therefore, it is necessary to ensure that the ore grade is stable at 24% and the grade of self-use ore is stable at 24. 5%. The grade requirements of the crushing stations (c1, c2, c3) corresponding to the three stopes are 24%, respectively.
24.5%, 25%.
2.2 3Dmine software based ore mixing step
2.2.1 Construction of 3D stope model
Combined with 3DMine software, the 2D graphics are quickly converted into 3D graphics according to the original 2D graphics coordinates and step elevation annotation information, and the digital terrain model (TDM) of the mining area is generated, as shown in Figure 1.
2.2.2 Construction of stepped blasthole data model
In order to display and use the grade information of each part in the stope in three-dimensional space, the given grade information in the stop plane graphic is loaded into the three-dimensional space, thereby constructing a three-dimensional gunhole database. The blasthole database contains accurate numbers, coordinates, grades, hole depths, etc., as shown in Table 1 and Table 2.
2.2.3 Block Model Construction and Valuation
In this study, the block model size is 1×1×1 (length×width×height), and the size of the secondary block model is 0.5×0.5×0.5 (length×width×height). The size of the solid model is 1500m × 2000m × 230m (length × width × height). The 3D coordinate starting point is input into the 3DMine software, and the stope model is generated according to the hole position coordinates and the grade data. Combine the TFe combination sample in the blasthole database to obtain the grade sample point, and use the distance power inverse ratio method (the power of this study is 2) [6-7] to estimate the block model.
2.2.4 Setting parameters and executing
According to the mine management requirements and the actual mining situation, the constraint condition is set to s=15km, the electric shovel setting model is 10m3, and the truck tonnage is 100t. The output of the ore calculation is shown in Table 3. It can be seen from Table 3 that the ore-matching results calculated in this study are basically in line with the expected mining results of the mine.
3 Conclusion
Taking the three stope of Anqian Mining Company as an example, an open-pit mine ore optimization model is proposed to meet the target grade and the minimum transportation capacity. The model is embedded in the 3DMine software, and a detailed analysis is given. step. Practice shows that the model can greatly reduce the workload of the manual mining plan. After the comprehensive ore distribution, the mining index basically reaches the mine plan index, which can maximize the utilization rate of the off-balance mine and make the ore resources get Maximize the use, increase the amount of resources available for mining, and maximize economic and social benefits.
references
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