Research On Path Optimization Of Hazardous Waste Recycling Management System Based On Internet Of Things

As the society and the national GDP grew,the standard of living for the citizens’ increased steadily.While demand is growing,the hazardous waste that accompanies production activities continues to grow.Hazardous waste belongs to one category of solid waste,which has the characteristics of large amount,wide variety,complex waste composition,etc.,and is set as a separate category for supervision because of its toxic,flammable,infectious and other characteristics.As the list of hazardous wastes continues to increase,more and more production wastes are defined as hazardous wastes,which poses great challenges for hazardous waste management.More and more small and medium-sized enterprises are also beginning to have a need for hazardous waste disposal.Hazardous wastes from generation to temporary storage,transportation and utilization and disposal of the entire process of greater risks and hidden dangers to the environment.At present,the recycling of hazardous waste has problems such as high cost,strong random occurrence,untimely information transmission,and low recycling efficiency.For hazardous waste,timely and efficient recycling can more effectively reduce potential risks to the environment and society.Therefore,if you want to better supervise hazardous waste,reduce recycling costs and improve recycling efficiency is the key to solving the problem.This study analyzes the recycling of hazardous waste in Zhengzhou,Henan Province.Problems in the planning of recycling vehicle routing schemes were identified in the recycling center.According to the actual recycling needs of Zhengzhou City,the recycling needs can be collected with the help of Internet of Things information,and the path can be optimized through genetic algorithms,which can effectively solve the problem of hazardous waste recycling.Based on the relevant theory of vehicle path optimization as a research guide,combined with the actual transportation of hazardous waste in Zhengzhou,it is found that the recycling uses point-to-point and the overall efficiency of the recycling process is low.The main reason for the problem after investigation and analysis is that the recycling model mostly adopts the form of "one car and one single" and lacks scientific path planning.According to the recycling of hazardous waste,this paper constructs a vehicle path optimization model with soft time window,takes the delivery cost as the minimum goal after circumventing the forbidden path,takes the vehicle carrying capacity and customer service time window as the constraints,and introduces the ideas of saving algorithm and large-scale neighborhood search algorithm to improve the solution performance of the traditional genetic algorithm,and refers to the hybrid genetic algorithm for solving.Finally,the hazardous waste recycling in Zhengzhou City,Henan Province,is used as an example for path optimization.The paper first analyzes the actual effects of different optimization degree algorithms on solving the optimal solution,and obtains the hybrid genetic algorithm as the optimal solution algorithm.Secondly,by comparing the optimal solution results of traditional genetic algorithms,semi-optimized genetic algorithms and mixed genetic algorithms,it is concluded that if the mixed genetic algorithm is used for path optimization,the total cost of recovery can be reduced by 14.3%,which is the optimal choice for improving efficiency,and can better improve recovery efficiency and customer satisfaction.Based on the genetic algorithm as the theoretical basis,this study generates a new hybrid genetic algorithm by optimizing the algorithm structure,derives the optimal path of hazardous waste recycling,and solves the problem of the lowest cost feasible path of hazardous waste recycling in Zhengzhou.