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Blasting scheme multi-criteria selection method based on improved genetic algorithm

An improved genetic algorithm and genetic algorithm technology, applied in the field of multi-criteria selection of blasting plans, can solve problems such as rock landslides and collapses, lack of consideration of the impact of blasting plan selection, and surrounding man-machine damage.

Inactive Publication Date: 2015-05-20
LIAONING TECHNICAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

Overexplosion is the phenomenon that the blasting depth exceeds the predetermined depth caused by inappropriate parameter settings, and its damage to the rock mass will exceed the previous prediction, resulting in rock landslides and collapses and other accidents; flying stones are also caused by improper parameters. Explosion The energy causes the destroyed rock to fly out of the pre-set safety range, causing damage to the surrounding human and machine accidents
[0004] Some studies have been done on super-explosion, flying rocks and their related factors at home and abroad, but the influence of the coupling effect of super-explosion and flying rocks on the selection of blasting schemes has not been considered.
According to the current actual situation on site, based on their own experience, the staff can often only give the blasthole depth ( HL ),spacing( S ), charge depth ( B ), blocking depth ( ST ), unit explosive consumption ( PF ) and drilling rate ( SD ) one of the qualitative effects on super-explosion and flying rocks, the effect of two or more factors is not determined by the staff themselves

Method used

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  • Blasting scheme multi-criteria selection method based on improved genetic algorithm
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  • Blasting scheme multi-criteria selection method based on improved genetic algorithm

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Embodiment Construction

[0042] An iron mine of Ansteel Group is located 12km southeast of Anshan City. The iron deposit is located at the northwest edge of the Qianshan Mountains. The landform is hilly. The highest point in the current mining area is located in the northeast of the mining area, with an altitude of 100.2m. Now it is mined to a level of about -280m. The ore body occurs in the metamorphic rock series of the Anshan Group. The footwall of the ore body is in contact with the gneissic granite migmatite by the F15 fault, the hanging wall is in integrated contact with the chlorite quartz schist, and the east end is in contact with the Qianshan granite by the F1 fault. The west end is in contact with the Migration Granite by the F14 fault, the ore body strikes 300-320°, dips to NE, and the dip angle is 60-80°, and the ore body is basically consistent with the surrounding rock.

[0043] The collected data includes parameters HL , S , B , ST , PF , SD , BB and FR , the parameter stat...

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Abstract

The invention discloses a blasting scheme multi-criteria selection method based on an improved genetic algorithm. The blasting scheme multi-criteria selection method is characterized in that a TOPSIS method is used as the universal function of GA, and two sets of criteria of overbreak depth and flying-rock distance are synthesized to sort schemes. The method includes: using a fuzzy number intuitionistic fuzzy set expressed by a structural element method to perform fuzzification on blasting scheme parameters according to fuzzy semantic division of good, hesitate and bad; randomly generating 100 kinds of blasting schemes according to actual statistical features, using the TOPSIS method as the universal function of GA, and synthesizing the two sets of criteria of overbreak depth and flying-rock distance to sort the 100 kinds blasting schemes; considering actual association problems, using a neural network to screen schemes, whose BB and FR conform to requirements, in offspring, and performing number complement of eliminated schemes. By the method widely applicable to strip mine blasting scheme selection, the optimal blasting scheme comprehensively considering the overbreak depth and the flying-rock distance can be obtained.

Description

technical field [0001] The invention relates to the selection of blasting schemes for open-pit mining, in particular to a multi-criteria selection method for blasting schemes through improved genetic algorithm. Background technique [0002] The formulation of blasting scheme is an important content in mining work. The choice of parameters in a protocol is influenced by many factors. The blasting schemes used in different mining areas are different, and the selection is mainly based on the consideration of output, geological conditions, physical and mechanical properties of rocks, and groundwater environment. [0003] The determination of blasting parameters should meet the requirements of safety, technology and economy. Otherwise, serious accidents will occur, among which overexplosion and flying rocks are the most common accidents. Overexplosion is the phenomenon that the blasting depth exceeds the predetermined depth caused by inappropriate parameter settings, and its d...

Claims

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Application Information

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IPC IPC(8): G06N3/08
Inventor 崔铁军赫飞赵东洋吴作启
Owner LIAONING TECHNICAL UNIVERSITY
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