Research On Patrol Path Optimization Of Natural Gas Pipeline Based On Time Window

With the innovation of energy system,the proportion of natural gas in energy use is increasing.With the increasing use of natural gas,the country has introduced many policies to build natural gas pipelines.Due to the nature of natural gas,it is easy to cause major safety accidents if there is a problem in the natural gas transmission pipeline,so it is necessary to carry out regular patrol of the natural gas pipeline.In order to reduce expenditure,save time and increase efficiency,the optimization of natural gas pipeline patrol path has gradually become more and more important,and a good optimization plan will become a key factor affecting the patrol efficiency.Firstly,this paper analyzes the optimization of natural gas pipeline patrol path.The problem is to arrange patrol units at multiple sites,with which to patrol existing pipelines between sites.It is a problem to make the patrol time as short as possible after a complete patrol when the patrol unit is required to be used as little as possible.It can be seen that this problem is similar to the Vehicle Routing Problem.Therefore,this paper first introduces the Vehicle Routing Problem and introduces it in detail,and then introduces the time window to make the problem more perfect.After the problem analysis,this paper then discusses the solution algorithm.After several heuristic algorithms are introduced,the genetic algorithm is selected as the core algorithm to solve the problem in this paper,and the genetic algorithm is introduced in detail.The actual natural gas pipeline lines in Qinghai section of Gansu province were selected for analysis,and according to the actual situation,the relevant simplified route diagram was established.Through the construction of the optimization model,the route model with the minimum operation time of the patrol unit and the minimum operation time of the patrol unit is established.Based on the route model established in this paper,the genetic algorithm is designed to solve the model.The fitness function of the algorithm is constructed according to the objective function of the model,and the algorithm is designed according to the genetic algorithm.Binary coding,roulette selection operator,single point crossover operator and uniform mutation operator are used to design the algorithm,which is simple,practical and easy to operate,and improves the efficiency of the algorithm.At the same time,the fitness function of the genetic algorithm is designed according to the target programming of the model to make the algorithm more targeted.According to the genetic algorithm designed in this paper,the parameters of the genetic algorithm were changed by using C++ program coding and control variable method,and ten experiments were designed.The experimental results are compared and analyzed,and the better results are selected as the example results.The research of this paper not only helps the pipeline patrol units to reduce workload,improve work efficiency,save the cost of patrol,but also makes a certain contribution to the protection of national security.The research in this paper can be used not only in the optimization of natural gas pipeline route,but also in other route optimization problems.