Research On 4D Production Scheduling Model And Optimization Algorithm For Open-pit Mine Enterprises

The production scheduling of open-pit mine enterprises is an important plan for the sustainable exploitation and benign development.it has the characteristics of a hierarchical pyramid model.A scientific and reasonable production scheduling is based on phased and sequential plan of ore and rock blocks in the whole service life,so as to achieve the purpose of efficient mining and preventing excessive consumption as well as environmental pollution.At present,the geological data,external environmental data,production process data and spatiotemporal attribute data of open-pit mine enterprises were unified organization and management,in order to realize the modeling production scheduling and optimized calculation for different periods and types.Which is focus on integrated management and control of mining and stripping production of mine resources,and is also important way to achieve the refinement scheduling of open-pit mines by using digital and intelligent mining technology.Research on information and mathematical models of 4-Dimensional production scheduling in open-pit mines systematically by used to the theories and methods related to the 4D production scheduling of mine.a hybrid intelligent optimization algorithm is presented for solving different type production scheduling model,it forms a hierarchical progressive modeling optimization and pyramid management model for long-term,short-term,and operational production scheduling of open-pit mine enterprises,it provides a basis for the integrated optimization and compilation of the overall production schedule during the service period of open-pit mines.The main research contains following parts:First,the 4-Dimensional production scheduling information model and spatiotemporal database were constructed.Based on through analysis of the mining production process,a complex 4-dimensional production scheduling information model is abstracted by used to integrate the 3-Dimensional spatial deposits information model with mining production time,which considers spatiotemporal location of mining object and planning time.According to the dynamic characteristics of open-pit mining process and the static characteristics of ore-rock geological body,a data structure of the spatiotemporal changes to the mining object is established,the time granularity is discussed from 4D information model to scheduling model.A spatiotemporal database system structure of mining production scheduling,and query indexing and optimal design is made by using object-oriented method.Second,the modeling theory and optimization method of long-term production scheduling for open-pit mining enterprises were studied.Aiming at the influence of price and geological grade fluctuations,based on 4-Dimensional production scheduling information model,the uncertainty factors,such as price of mineral products,geological grade and mining cost,were integrated into long-term production plan model,which was established considering block space mining sequence,mining depth location,recovery and utilization rate of mineral resources and mining processing capacity etc.a low-grade ore recovery and treatment strategy was proposed for solving low-grade ore recovery.On this basis,a particle swarm optimization algorithm with search operator of improved pigeon is proposed.The map compass operator is improved by the linear and nonlinear mutation strategy to improve the map compass factor.Then,two independent operators are fused by using transition factors,so a fusion operator is used to optimize and improve the particle swarm optimization algorithm,as well as the spatiotemporal performance and complexity are analyzed.Third,the modeling theory and optimization method of short-term production scheduling for open-pit mining enterprises were studied.The block value and enterprise profit are computed in different mining periods in terms of years.The annual scheduling period is gradually divided into short-term production scheduling in terms of months,and the objective was to maximize the production amount of mining ore and grade control.The short-term production scheduling model was constructed considering mining bench,spatiotemporal sequence of blocks,mining amount,grade fluctuation,and key blocks value areas etc.Depending on progressive studying idea from the number of mining blocks in long-term(year)to mineral rock mining and stripping amounts in short-term(months),a cellular and quantum-behaved wolf swarm optimization algorithm is presented,the double strategy quantum bit initialization method and the sliding mode crossover method were used to help generate the initial position of each wolf and candidate head wolf respectively.Using a cell is used to search space of solution for wolf pack,thus broadening the search area,and encoding strategy and quantum rotation angle strategy of the algorithm are deeply studied.Fourth,the modeling theory and optimization method for operational scheduling problems of open-pit mining enterprises were studied.The block value and enterprise profit are computed in different mining periods in terms of years.The annual scheduling period is gradually divided into short-term production scheduling in terms of months,and the objective was to minimize the unit cost of mining and transportation of the mining ore and stripping rock.The operational production scheduling model was established considering ore grade fluctuation,ore output,mining amount and utilization of mineral resources etc.depending on progressive studying idea from the number of mining blocks in long-term(year)to mineral rock mining and stripping amounts in short-term(months),a improved quantum particle swarm optimization is put forwarded,which based on evolution speed and aggregation degree factors,while particle search strategy of double feasible domain attractor was proposed,so as to the global convergence speed was improved,and the local optimization was enhanced.Fifth,the whole engineering application and evaluation analysis was realized for 4-Dimensional production scheduling of open-pit mine enterprises.Taking a large-scale metal mine in Henan Province as an actual case,the basic data of the mine enterprise is organized for production scheduling,compared the solution results with the original design schemes of this large-scale open-pit mine enterprise,thus the application,optimized analysis and economic evaluation in 4-Dimensional production scheduling model are carried out.Under the guidance of enterprise management theory,three-dimensional spatial modeling,spatiotemporal data model and database,mathematical planning,mathematical modeling and intelligent optimization algorithm,This paper comprehensively considers 4-Dimensional production scheduling data organization,hierarchical progressive mathematical modeling and overall application,base on the organization of basic data and whole production scheduling collaborative optimization,the model covers all of the process from macro-design to micro-operation of mining enterprises,theoretically provides a research basis for 4-Dimensional production scheduling of open pit enterprises.The hybrid intelligent optimization algorithm designed to meet the optimization calculations of different types of production plans,from the technology of 4-Dimensional production scheduling theory and practical engineering application provides algorithms.its essence is to provide the theoretical and methodological guidance for the overall production planning of mining enterprises,optimization and upgrading of existing mining production control system software.