本文關(guān)鍵詞：基于游線調(diào)度的洞窟微環(huán)境調(diào)節(jié)技術(shù)研究　出處：《浙江大學》2017年碩士論文　論文類型：學位論文

  更多相關(guān)文章： CO_2 游客參觀 游線調(diào)度 莫高窟 模擬

【摘要】：莫高窟坐落于敦煌市東南的鳴沙山上,以精妙的壁畫與精湛的塑像聞名于世。旅游業(yè)的迅速發(fā)展帶來了巨大的經(jīng)濟效益,同時給莫高窟的保護和管理工作帶來了許多難題。莫高窟雖然規(guī)模宏大,但適用于對外開放的洞窟數(shù)量不多,可承載的游客容量有限;由于各個洞窟環(huán)境封閉,游客進入洞窟內(nèi)參觀會產(chǎn)生二氧化碳和水汽,影響洞窟內(nèi)的微環(huán)境。若洞窟長期處于不適的微環(huán)境中,會加劇洞內(nèi)壁畫和雕塑的褪色甚至發(fā)生起甲、龜裂乃至脫落。為了盡量降低旅游開放給莫高窟洞窟微環(huán)境帶來的負面影響,論文研究了基于游線調(diào)度的洞窟微環(huán)境調(diào)節(jié)技術(shù)。論文首先研究了適用于莫高窟的洞窟二氧化碳濃度變化模型,該模型定量地描述了游客流量如何影響洞窟二氧化碳濃度變化。二氧化碳作為洞窟主要的微環(huán)境指標,研究窟內(nèi)二氧化碳濃度隨游客流量的變化模型對制定游線調(diào)度策略具有指導性的意義。論文分析了無游客參觀情況下洞窟二氧化碳濃度的變化模型,并根據(jù)游客參觀的實際情況對原有模型進行了改進。然后,論文基于莫高窟現(xiàn)有游客管理策略提出了游客分組參觀模擬算法。莫高窟工作人員將大約20個游客作為一個游客分組,給其分配了一條游覽路線,由講解員帶隊進行參觀。游客分組參觀模擬算法根據(jù)當前景區(qū)內(nèi)所有游客分組的游覽現(xiàn)狀,模擬所有游客分組未來一段時間的游覽行為。通過模擬游客分組在景區(qū)內(nèi)的游覽行為,一方面可以為游客分組選擇盡可能與其他游客分組的游覽計劃不沖突的路線,另一方面可以計算游客分組選擇不同的游線對景區(qū)的環(huán)境帶來的不同影響,最后權(quán)衡二者之間的利弊,選擇合理的游覽路線。論文基于現(xiàn)有的游線調(diào)度算法框架,提出了基于游線優(yōu)選模型的游線調(diào)度策略,并采用莫高窟歷史游客訪問記錄對幾種游線調(diào)度策略進行對比。實驗表明采用基于游線優(yōu)選模型的游線調(diào)度策略能有效降低洞窟微環(huán)境風險。最后,論文設(shè)計并實現(xiàn)了游覽路線推薦系統(tǒng)。系統(tǒng)基于游客分組參觀模擬算法、洞窟二氧化碳濃度變化模型以及基于游線優(yōu)選模型的調(diào)度算法實現(xiàn)了莫高窟景區(qū)的游覽路線推薦功能。
[Abstract]:Mogao Grottoes is located in Dunhuang City, Southeast of the Mingsha mountains, is famous for its exquisite exquisite murals and statues. The rapid development of the tourism industry has brought enormous economic benefits, at the same time to Mogao Grottoes's protection and management has brought many problems. Although the Mogao Grottoes grand scale, but the number of applicable to the opening of the cave is not much, the tourists carrying capacity is limited; because each cave closed environment, visitors enter the cave tour will produce carbon dioxide and water vapor. The influence of micro environment inside the cave. The cave in the micro environment if the long-term discomfort, will aggravate the cave murals and sculptures faded even from a crack, and even fall off. In order to minimize the negative impact open to the Mogao Grottoes tourism cave micro environment brings, study tour line scheduling of cave micro climate regulation based on. The thesis firstly studies the suitable caves of Mogao Grottoes At the concentration of CO2 model, the model quantitatively describes the flow of tourists how to influence the concentration of carbon dioxide. The carbon dioxide as the cave cave main micro environment index, change model with the tourist flow of the carbon dioxide concentration slightly has the guiding significance for the development of tour line scheduling strategy. This paper analyzes the change of the concentration of carbon dioxide in cave model of tourists visit the case, and according to the actual situation of the visitors to the original model has been improved. Then, the existing Mogao Grottoes tourists management strategy is put forward based on the tourists visit Mogao Grottoes. Packet simulation algorithm of staff will be about 20 tourists as a tourist group, are allocated to a tour route, the announcer led tourists visit the visit. The packet simulation algorithm according to the present situation of all the tourists visit scenic spots in the current packet, to simulate all the tourists The next time the tour group behavior. Through the tour behavior simulation visitors group in the scenic area, one can choose as far as possible for tourists and other visitors packet packet sightseeing program does not conflict route, on the other hand can affect different computing environment tourists group selection tour line of different scenic spots caused by the final weighing the advantages and disadvantages between the two, reasonable selection of the tour route. The existing scheduling algorithm based on the framework of tour line, proposes a scheduling optimization model of tour line tour line based on strategy, and the historical records of several tourists visit Mogao Grottoes tour line scheduling strategy were compared. The experiments show that using the tour line scheduling strategy optimization model can tour the line to reduce the environmental risk based on micro caves. Finally, this thesis designs and implements the tour route recommendation system. The system simulation algorithm based on grouping of tourists visit the cave, two oxygen The model of carbon concentration change and the scheduling algorithm based on the optimization model of the travel line have realized the tour route recommendation function of the Mogao Grottoes scenic spot.

【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP301.6;K879.2

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