Research On Optimal Route Selection Algorithm Of Transportation System Based On Clifford Algebra In Open-pit Mine

The transportation road of open pit mine constitutes the important foundation of the transportation system of open pit mine,and is also the important link connecting the three technological links of stripping,mining and dumping of open pit mine,bearing the transportation task of the ore and rock volume of open pit mine.Whether the road layout is reasonable or not directly affects the economic benefit of the open-pit mine.However,for a long time,due to the lack of optimization methods for open-pit mine transportation,the selection of exploition and transportation road in open-pit mine is still in the manual experience stage,with low routing selection efficiency and difficulty in dynamic update,so the optimal transportation road alignment scheme cannot be formed.Therefore,the research on the optimization method of exploitation and transportation road routing selection should be carried out,and put forward the optimized method of intelligent routing selection.It is of great significance and theoretical value to realize the automation and intelligence of routing selection and renewal,optimize the layout of road transportation system and reduce the transportation cost of open pit mine.Aiming at the characteristics of the open-pit mine transportation road and the lowest cost of route selection in the whole life cycle of the road,the paper puts forward the route selection model and the algebraic representation method of route nodes with consideration of turn-back routing solution on the basis of the intelligent route selection algorithm in pavement highway.According to the mine transportation cost and the coupling relationship between the topology structure,a unified algebraic representation of geometric objects in open pit mines is established by using Clifford's algebraic algebra theory.Through the classification of the stope in temporal and spatial topological relations,the topological relationship between surface element model is established,schedule model and the automatic topology intersection algorithm between the path model is put forward.The geometrical algebraic estimation method of road earthwork quantity is established.Among of them,the earthwork quantity is used to express the cost of road construction,the timevarying transportation work is used to express the transportation cost in the whole life cycle of the road,the equipment failure rate is used to express the equipment maintenance cost,and the pavement maintenance period is used to express the pavement maintenance cost.Using matterextension theory to de-dimensionalize each cost index,the evaluation model of road cost is established.Using the roads within the whole life cycle cost optimization as the objective,routing selection optimization model is established based on genetic algorithm.The crossover and mutation parameters adaptive optimization algorithm is put forward,and biological stimulation neural network characteristics of the "global inhibition,local resident" is introduced into the routing curve correction algorithm is proposed based on heuristic geometry correction error neighborhood control method.Based on the stochastic theory,the probabilistic model of complex adaptive value function is studied,and the correctness of expectation discrimination of complex numerical calculation is verified by combining the probabilistic model,and the basic method of optimizing numerical calculation is further proposed.Through examples and analysis of simulation results,verify the validity of the research methods and results.The proposed intelligent routing selection method,the topological relationship processing automation routing selection algorithm,the whole life cycle cost of the quantitative calculation method,and the heuristic improvement strategy of genetic algorithm,not only explore the transportation system for open-pit mine provides a new method,but also for other mining restricted by the constraint optimization problem to unconstrained numerical optimization problem provides the beneficial reference.