Research On Gas Vehicle Transportation Trajectory Optimization Based On Genetic Filtering Algorithm

In the current era of information technology in power,and the popularity of environmental protection and energy conservation ideas,gas has become increasingly prominent in the energy system and has become one of the three major energy sources.Especially in recent years,my country has promulgated a series of policies and regulations,clarifying the important position of the development of the gas industry,effectively promoting the standardized and efficient development of my country's natural gas industry,and also accelerating the pace of development of its supporting industries.As a core element in gas transportation,gas vehicles play an active role in ensuring the safety of gas supply and promoting the healthy development of the gas industry.In this research,a natural gas transportation group company in Shanxi was taken as the research object.On the basis of analyzing and summarizing the history of gas development and the status of gas vehicle transportation,it focused on the analysis and research of gas vehicle transportation network and transportation routes.At the same time,the influencing factors of gas transportation are also analyzed.In addition,in order to better improve the efficiency of gas transportation and ensure the safety of gas transportation,this article also strictly follows the principle of transportation scheduling,and establishes a coordinated optimization model for gas vehicle transportation scheduling.The rational optimization of subsequent transportation routes provides scientific tools;in addition,genetic algorithms are used to solve the optimization model,and the final transportation route of gas vehicles is derived.The transfer of gas vehicle transportation is aimed at reducing and compressing transportation costs,ensuring the timeliness and safety of gas transportation,and improving operating efficiency.In studying the optimization process of gas vehicle transportation trajectory based on genetic algorithm,must consider the basic nature of gas transportation and its influencing factors as appropriate.Practice has proved that scientific and reasonable gas vehicle transportation scheduling can not only ensure the continuous supply of energy and improve service quality,but also can significantly reduce the transportation costs of gas logistics enterprises and improve their economic benefits.Therefore,this topic uses this as a starting point to establish a gas vehicle transportation scheduling optimization model,under the premise of rational use of the existing vehicles and customer resources of the enterprise,on the basis of ensuring the safety of gas transportation,choose the optimal transportation path,in order to improve customer satisfaction To optimize the service quality of gas logistics enterprises.Gas logistics companies must have strong information collection capabilities and must establish a fully functional information system to provide strong support for the gas transportation business.This subject uses advanced information technology and builds an optimization model based on the information system in order to efficiently use the limited resources of the enterprise and maximize the economic benefits of the enterprise.All in all,with the industry now undergoing comprehensive upgrades and increasingly fierce competition,how to use scientific algorithms to clarify the optimization path to ensure the safety of gas transportation,achieve reasonable optimization of gas scheduling and significant improvement in economic benefits are the current gas logistics enterprises We must focus on solving problems,and this is the subject that the academic community should focus on.