Strip mine charging pile site selection method based on adaptive disturbance salp algorithm

Abstract

The invention discloses a strip mine charging pile site selection method based on an adaptive disturbance salp algorithm, and the method comprises the steps: building a strip mine charging pile site selection model with the minimum annual cost as a target; and improving the salp algorithm to obtain an adaptive disturbance salp algorithm, and solving the model to obtain a site selection result. According to the method, the perfect target constraint model is established, and the model is solved by adopting the improved self-adaptive disturbance salp algorithm, so that the solution of the target model is more scientific and reasonable and has realizability. Compared with a traditional strip mine electric truck which is difficult to charge, the optimal site selection model can effectively reduce the invalid transportation distance in the operation process of the electric truck and the time cost caused by insufficient electric quantity, the charging efficiency of the electric truck is improved, and in the large environment trend that the electric truck is gradually popularized to replace an oil-consuming truck in the future, the transportation cost of enterprises is remarkably reduced, the production capacity of mines is improved, and the economic benefits of mine enterprises are remarkably improved.

Description

technical field [0001] The invention belongs to the technical field of mining system engineering and mine optimization, relates to the layout of charging piles in open-pit mines, and in particular to a site selection method for charging piles in open-pit mines based on an adaptive disturbance salp algorithm. Background technique [0002] Compared with traditional cars, electric vehicles are widely used in various production industries due to their advantages of energy saving, emission reduction and low pollution. The number of electric trucks in the mining industry is also gradually increasing. However, unlike the rapid development of electric vehicles in the urban logistics system, the charging of electric vehicles in open-pit mining areas, the location of charging piles, and the complexity of roads unique to mining areas are all issues that need to be solved urgently and deserve attention. Judging from the current research, the problem of location selection of charging pi...

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Problems solved by technology

[0003] In order to solve the problem of difficult charging of charging trucks in open-pit mines and unreasonable layout of charging piles, the purpose of the present invention is to provide a method for selecting the location of charging piles in open-pit mines based on the adaptive disturbance salp algorithm, and to establish a charging pile construction cost, The time-consuming cost and charging cost during the charging process are minimized and the optimization model for the location of the charging pile is targeted. At the same time, the path complexity and slope in the case of open-pit mines are considered. The influence of the slope on the speed and power of the truck, and an improved adaptive disturbance Salp Algorithm for Solving

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