Study Of The Ruins Of Environmental Characteristics Of The Model And Tourists Line Dynamic Scheduling Algorithm

The Dunhuang Mogao Grottoes, known as a museum on the wall, has attracted numerous visitors from home and abroad for its beautiful Buddhist murals and sculptures. Because of the huge visitor flow, the murals and sculptures have been suffering serious man-made damages in addition to the continuous natural erosion. As the cave is an isolated place that is separated from the outside, there is little air exchange in the cave. When the tourists get in the cave, the CO2 and water vapor they created would have some bad effect on the heritages. Domestic and foreign scholars have made a lot of efforts on heritage preservation, such as deploying the Micro-climate Monitoring System, to monitor the real time status of gas concentrations in caves, and controlling the visitor flow when the concentrations of CO2 and humidity exceed the protecting threshold. However, these kinds of work are usually passive. The more effective way is to protect the heritages positively. This thesis presents a proactive conservation method based on the route visit mode used in Mogao Grottoes currently. The main strategy is to schedule the tour routes reasonably and control the micro-climate of the caves positively.Firstly, the model of grottoes'DACH, the abbreviation of dynamic air exchange rate, is obtained by analyzing the data referred to the variations of the micro-climate and visitor flow, which are obtained from Micro-climate Monitoring system and visitor counting system. The grottoes'DACH shows that the air change rates of the caves are greatly related with the temperature difference between in and out of the caves. So the DACH model can provide a more accurate way to simulate the progress of CO2 concentrations variation when visitors come in and out of the caves. The comparison of the simulated CO2 concentration to monitored result verifies the applicability of the DACH model.Then, the method of tour routes management and scheduling is presented in this thesis. The algorithm is inspired by the visitor management scheduling strategy currently used in Mogao grottoes, which called Artificial Scheduling:the staff will assign a-route and an interpreter to visitors to form a tour group and the route is composite of different caves. The monitoring system is monitoring the environmental change in caves, it will issue a warning message when the environment exceeds the protecting threshold, and meantime, the staff will close the grottoes. This strategy has two shortcomings:firstly, the assignment of the route is subjective bias, which cannot control the environmental change positively; secondly, close the exceeding caves reduce the visitors'satisfaction. So, the route scheduling method based on simulating CO2 concentration is proposed in this thesis, the main idea is:obtain the consumption indicators of the route using the simulation methods, including the entire visiting time, grotto waiting time, total waiting time, and the process of the CO2 concentration, based on these results, the staffs can assign the best route to tour groups.Finally, the Visitor Routine Management and Scheduling System is designed and implemented based on the theoretical study above. The system provides a simple interface, and the users can choose an optimized routine according to the running result. So as to achieve the objective proposed in the thesis:get the balance between the heritage conservation and tourism development.