| Since the new century, improving environmental quality has become an important part of China’s economic development strategy.Report at 18 th Party Congress put construction of ec ological civilization in a prominent position. The report at 18 th Party Congress gave high prio rity to making ecological progress and incorporate it into all aspects and the whole process of advancing economic, political, cultural, and social progress, blaze a new trail to industrializati on featuring high scientific and technological content, good economic returns, low resources c onsumption, little environmental pollution and a full display of advantages in human resource s.Municipal solid waste as an important factor affecting the environment, how to process it eff iciently and ecologically has become the focus of attention.In this paper, we use the collection and transportation system of municipal solid waste in Sino-Singapore Tianjin Eco-City as the research object. The main work as follows.(1)We summarized relevant research results home and abroad, reviewed the development process of environmental information systematically, analysed the supporting technology of t he development of information technology, pointed out the problems in the research studied b y scholars home and abroad and future development trends, combined with the present conditi on of the collection and transportation system of municipal solid waste in our country, and the n we proposed the management solution of the collection and transportation system of munici pal solid waste based the Internet of things.(2)We analyze the core model and algorithm of collection, transportation and dispatch function, then establish the collection and transportation optimization model with the shortest distance and the lowest fuel consumption target. By analyzing the factors which influence fuel consumption, we think the weight of truck, the friction between tires and roads and the gradient of road are important factors. At the same time, we convert fuel consumption into vehicle works to quantize the fuel consumption.(3)We choose ant colony algorithm to solve the model above. Combining with the actual, we use the load capacity of truck, the road condition and the gradient of road to design heuristic function, combine the global pheromone and local pheromone to provide the solution of model above. After that, we use a simple traveling salesman problem to discuss how to set parameters. After experiment, we find that the ranges of pheromone volatilization coefficient ,the pheromone heuristic factor , expected heuristic factor are [0.5,0.8], [1,3], [2,5], the ratio between amount of ant and the scale of problem in[0.6,2.0], under such circumstance, algorithm performs the best status.(4)We take Sino-Singapore Tianjin Eco-City as an example and general overview of its urban digital construction, according to literature and China road standard to design an example and parameters. In the model with the shortest distance and the lowest fuel consumption target, we add load capacity of truck, the road condition and the gradient of road into heuristicfunction in turn, then run program on matlab7.0. Comparing with algorithm without improving heuristic function, we find that fuel consumption descends 5.20%,11.69% and 8.90%, distance rises 2.31%,0.90% and 8.69%, all these data proves the improved algorithm is effective. In addition, we use the improved algorithm to solve problem with the shortest distance, comparing with the model with the shortest distance and the lowest fuel consumption target, we find that the distance of latter rises 9.02%, while the fuel consumption descends about 30.20%. These data above shows that we plan the collection and transportation route with the shortest distance and the lowest fuel consumption target can reduce energy consumption, reduce environment pollution and benefit for sustainable urban development and people’s health. |
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