Research On RSU Location And Layout Of Open Pit Mines Based On Integer Programming

With the continuous development and application of technology,the mining scale of mines continues to expand,and the application of information technology in mines is becoming increasingly widespread.The roadside device RSU is an important component of the vehicle road collaboration roadside end.Its main function is to collect current road conditions and traffic status information,and communicate with roadside perception devices and terminals through communication networks to achieve functions such as vehicle and roadside interconnection,real-time exchange of communication numbers,and so on.Due to the high cost of RSU,a reasonable and scientific deployment plan has a significant impact on the system construction cost and service level,so it has received increasing attention.Although there have been many studies on the location and layout of RSUs in different application scenarios,in the complex and special environment of open-pit mines,manual experience is often used for location selection,lacking feasibility and practical application research.Due to the dynamic changes in the mining process,the site selection problem belongs to the optimization problem of operations research.Reasonable site selection plans and decisions will bring huge economic and social benefits.Therefore,the purpose of this study is to build a scientific and reasonable location and layout scheme of RSU through the mathematical method based on Integer programming.The specific work content is as follows:First of all,in view of the above problems and combined with the needs of practical projects,this thesis studies the location problem of roadside units of open-pit mines based on the complex terrain characteristics of open-pit mines,and constructs a lowcost and high information coverage 0-1 Integer programming model.This scheme applies the location problem to the 0-1 Integer programming solution problem based on RSU information coverage radius,total cost and other factors,taking into account the complex terrain characteristics of actual open-pit mines,Using Boolean perceptual models to identify blind spots.Secondly,a heuristic algorithm was used to solve the location model,and the programming languages of genetic algorithm and ant colony algorithm were written in MATLAB.The advantages and disadvantages of genetic algorithm and ant colony algorithm in solving the model were compared and analyzed.Through multiple simulation experiments,it was concluded that using genetic algorithm for solving is a better choice.Finally,a simulation experiment was conducted using a certain open-pit mine in the northwest region as an example,and genetic algorithm was used to solve and verify the optimal location point,verifying the feasibility and correctness of the model algorithm.A scientific and reasonable RSU site selection and layout plan for open-pit mines has been constructed,providing theoretical guidance and technical support for the actual production and operation of open-pit mines.It has important practical significance for reducing mine operating costs and improving production efficiency and safety issues.