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The Researches Of Micro Environment Regulation Technology In Mogao Grottoes Based On Tour Route Scheduling

Posted on:2018-02-16Degree:MasterType:Thesis
Country:ChinaCandidate:H K PanFull Text:PDF
GTID:2348330512983417Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Located in the Mingsha Hill the southeastern part of the historical and cultural city Dunhuang City,the Mogao Grottoes,are famous for its exquisite murals and exquisite statue,is art treasury house of ancient China.The rapid development of the tourism industry has brought huge economic benefits,while it has brought many problems for the protection and management of the Mogao Grottoes.Although the Mogao Grottoes with large-scale,but for most cave of it the space is so small that a small number of caves could open to the visitors,the capacity for accommodate tourists is limited;Moreover,due to the cave environment closed,visitors visit the cave will release carbon dioxide and water vapor,affecting the micro-environment of the cave.If the cave in a long period of discomfort micro-environment,which will exacerbate the frescoes and sculptures fade,even occur crack or peeling off.In addition,the excessive concentration of carbon dioxide(CO2)in the cave will harm for the health of tourists,resulting in discomfort of tourists,leading to decreased visitor satisfaction,and even lead to hypoxic syncope phenomenon of tourists.In order to minimize the negative impact of tourism opening on the micro-environment of Mogao Grottoes,this paper studies the micro-environment regulation technique of the cave based on travel route scheduling.Firstly,this paper studies and improves the change model of CO2 concentration in caves for Mogao Grottoes.The model quantitatively describes how the flow of tourists affects the change of CO2 concentration in caves.Since CO2 is the main microenvironment index of cave,the study on the variation of CO2 concentration as a function of tourist flow in the cave for the development of travel routes scheduling strategy has a guiding significance.This paper analyzes the change model of CO2 concentration of the cave without tourists,and improves the original model according to the actual situation of tourists.Then,based on the existing tourist management strategies of Mogao Grottoes,this paper presents the visitor group visiting simulation algorithm.The staff of Mogao Grottoes assigned a tour route,guided by the tour guide to each visitor group which consist of approximately 20 visitors.Based on the analysis of current visit behavior of visitor groups in the scenic area,the forecast of the visit behavior of all visitor groups is realized.By simulating the behavior of visitor groups in the scenic area,on the one hand,it is possible to select a route that does not conflict with other visitor group for a visitor group,and on the other hand,we can calculate the price of choosing different routes to visit that impact on the scenic environment,weighing the pros and cons between the two part,we can choose a reasonable route for visitor group.Based on the existing framework of tour route scheduling algorithm,this paper proposes a scheduling objective function that based on the integral of the cost of micro-environment of the cave and a tour route scheduling strategy that based on the optimization model of tour route.Then,several tour route scheduling strategies are compared by using the historical visit records of Mogao Grottoes.In the compare experiment,tour behavior under several scheduling strategies was simulated by using the visitor group visiting simulation algorithm,the change of carbon dioxide concentration in the cave was simulated according to the change model of the CO2 concentration,in the end,the scheduling objective function was calculated according to the two simulation results.Experiments show that the tour route scheduling strategy based on the optimization model of tour route can effectively reduce the risk of micro-environment of the caves.At last,this paper designs and implements the tour route recommendation system.Based on the visitor group visiting simulation algorithm,the change model of the CO2 concentration of the cave and the tour route scheduling strategy based on the optimization model of tour route,the recommended function of the tour route in Mogao Grottoes is achieved.
Keywords/Search Tags:CO2, visitor, travel route scheduling, the Mogao Grottoes, simulation
PDF Full Text Request
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