【作者】 于冬梅；

【导师】 徐方超；

【作者基本信息】 沈阳工业大学 ， 工程硕士（专业学位）， 2021， 硕士

【摘要】 自改革开放以来,我国在经济上迅猛发展,近年来更是一跃成为世界一流强国,城市化进程在国家与人民的不断努力下正在大踏步前进。国家不断发展的同时,也给城市生活配套设施带来了严峻的考验,城市垃圾分类回收物流网络运行效率低下就是其中一个亟待解决的问题。本文针对沈阳在垃圾分类转运物流网络上存在的问题,参考国内外先进的垃圾分类回收模式,对沈阳城市生活垃圾的分类回收转运物流网络进行了优化。本文首先对我国城市生活垃圾分类回收网络的现状进行分析。重点分析了沈阳城市生活垃圾分类回收物流网络的问题及不足之处,确定了适合我国国情的城市垃圾分类回收模式。接着,对生活垃圾量的影响因素进行了分析,基于梯度提升回归模型建立了城市生活垃圾量预测模型。根据城区人口密度及占地面积估算出压缩站管辖地区的日均垃圾量。然后,针对湿垃圾的特性以及其存储转运过程的特殊性,同时考虑人文环境及成本,建立了湿垃圾转运中心选址模型,并采用免疫算法对其进行求解。再然后,基于车辆运输成本、处理设施的建设成本和违反时间窗惩罚成本,建立了城市生活垃圾分类收运路径优化模型,采用遗传-模拟退火算法进行求解,确定了最低成本的车辆回收转运路线。最后,以沈阳市为例进行实例分析,对沈阳市现有的垃圾处理模式进行了优化,基于沈阳市区垃圾预测量,采用免疫算法对湿垃圾中转中心进行选址,确定了5个湿垃圾中转中心地址,采用遗传-模拟退火算法对垃圾收运回收路线进行了优化,达到了垃圾日产日清的目标。更多还原

【Abstract】 Since the reform and opening up,China has developed rapidly in economy,and in recent years,it has become a world-class power.With the continuous efforts of the country and the people,the urbanization process is making great strides forward.With the continuous development of the country,it has also brought severe challenges to the supporting facilities of urban life.One of the problems to be solved urgently is the low efficiency of the urban waste sorting and recycling logistics network.Aiming at the problems existing in the waste classification and transfer logistics network of the Shenyang city,the waste classification,recycling and transfer logistics network of Shenyang city municipal solid waste(MSW)by referring to the advanced waste classification and recycling mode at home and abroad was optimized.Firstly,the status of domestic solid waste sorting and recycling network in China was analyzed in this thesis.The problems and shortcomings of Shenyang city municipal solid waste sorting and recycling logistics network were analyzed.Then the urban solid waste sorting and recycling mode suitable for China’s national conditions were analyzed in this thesis.Secondly,the influencing factors of domestic waste were analyzed,and the prediction model of urban domestic waste based on the gradient promotion regression model was established.According to the urban population density and the area occupied,the daily average amount of waste in the area under the jurisdiction of the compression station was estimated.Thirdly,according to the characteristics of wet waste and the particularity of its storage and transport process,and considering the human environment and cost,the location model of wet waste transport center was established,and the immune algorithm was used to solve it.Fourthly,based on the vehicle transportation cost,the construction cost of treatment facilities and the penalty cost of violating the time window,an optimization model of MSW classification,recycling and transportation path was established.The genetic and simulated annealing(GA-SA)algorithm was used to solve the model,and the vehicle recycling and transportation route with the lowest cost was determined.Finally,Shenyang city was analyzed as an example,the existing mode in Shenyang city waste disposal was optimized.Based on Shenyang city waste forecast quantity,used Immune Algorithm for wet waste transit center location selection,five wet waste transit center addresses were determined.Then through the GA-SA Algorithm,the waste collector recycling route was optimized,the goal of daily waste cleaning was achieved.更多还原