Technology Of Forest Fire Adaptive Spreading Simulation Based On Dynamic Data-driven

Forest fire is a natural disaster, it is an extremely serious threat to forest resources and people's lives. In order to reduce the loss causing by forest fires, there are many people carrying on the study of wildfire all around the world. Using computer to simulate the spread of forest fires and taking the forecast of the forest fire behavior have altogether become an important research direction. However, it is difficult to analysis and forecast a complex system such as forest fire. There is still a lack of the capability of describing forest fire spreading accurately.Using dynamic data-driven technology in the space of forest fire spreading simulation can absorb the dynamic real-time data to control the simulation process based on the current forest fire spreading models. At the same time, it can evaluate the results of simulation stage, and select the optimal results. It can optimize the existing simulation model through the analysis and knowledge accumulation of several simulation results. The combine of forest fire spreading simulation and the real-time monitoring can output more accurate forecasting results and provide reliable decision-making for commanding.The thesis points out what establishing a computer system of forest fire spreading simulation that the actual fire data and fire simulation can cooperate is about. Then Solving a series of problems in the process of establishing the system such as building a model database, models parallel simulation, forest fire dynamic data acquisition, processing and calling, spatial accuracy assessment and model parameter modification.The thesis first discusses the content of dynamic data-driven forest fire spreading simulation technology, determining the operational mechanism and specific process of dynamic data-driven forest fire spreading simulation; Then, it sums up the key technologies of dynamic data-driven forest fire spreading system, including establishing simulation model database and data database, adaptive application component technology of fire spreading simulation, simulation evaluation techniques and parameter adjustment technique. Finally it shows the study of these technologies respectively.In order to build up a model database of forest fire spreading dynamic data-driven adaptive simulation, the thesis designed a model database establishing method with unity and flexibility. That is, we can use model management table, specific model description table and DLL for algorithm of each model to build the model database. We classify the data according to the data input and stored method, bring forward the methods for each kind of data acquisition and processing, and put forward a file and storage form management to achieve forest fire data management. At the same time, the thesis designs and establishes a simulation evaluation database, describes the method of the establishment of model appropriate selection knowledge database, design and build up the space accuracy evaluation database.In the application of forest fire adaptive spreading simulation component development, we used a phase-time control to realize the method of dynamic data-driven, called by phase-time control of analog data, to connect the simulation data and real fire data with phase-time control. Using multi-threaded programming method to realize the parallel simulation of multiple fire spread models, and using wave propagation model that based on Huygens principle and elliptical model to achieve forest fire spreading simulation. It also puts forward a number of related computer simulation algorithm and provides the model input and output interfaces and designs the space expression of forest fire spread simulation.Thesis puts forward a spatial accuracy evaluation program of fire model simulation evaluation and fire parameter adjustment, points out the method of model space precision evaluation by using the quantitative value of overlay area rate and fire edge similarity. Thesis studies the main source of simulation error, puts forward the approach of using phase-time control to implement model dynamic fire data input, puts forward using simulation again and again and experts intervention to adjust the simulation parameters. During the simulation, the model can optimize the simulation based on the environment change.Thesis has built up a prototype system of forest fire adaptive spreading simulation based on dynamic data-driven, using Wangzhengfei Model and Rothermel Model to simulate a fire that happened at the border of Fengning Hebei and Huairou Beijing, pointing out the realization of forest fire spreading dynamic simulation based on dynamic data-driven.