Research And Design On Indoor Emergency Evacuation Path Planning For Conflagration

Urban fires are dominated by building fires,which seriously threaten human life and property safety.When firefighters enter the building to rescue,the smoke is very easy to cause firefighters get lost in low visibility unfamiliar environment.Therefore,how to provide the safe and effective evacuation path guidance in an indoor environment is one of the problems urgently to be solved in the fire protection field.Existing fire emergency evacuation technology unable to dynamically plan the route based on environmental information.This thesis studied and designed a prototype system for fire emergency evacuation path planning based on the Alibaba Cloud's Internet of Things management platform,which able to implement path plan based on building structure information,real-time temperature,smoke concentration and other dynamic information.The main research contents of the thesis include:1.Proposed a path planning algorithm based on priority queue optimization.This thesis used the grid method to constructed the environment model,combines the global path planning method with the local path planning method,and used the A * algorithm for path planning.According to the relationship between the construction form of the open list and the time complexity of the A~* algorithm,and the characteristics of the open list that preferentially selecting the node with the minimum evaluation function value,this thesis selected the priority queue to optimize the construction process of the open list of the A * algorithm.The combination of traversal element storage and sorting operations reduced the time complexity of open list access operations in the algorithm,and improved the algorithm performance from the perspective of application.2.Designed a prototype system for emergency evacuation path planning.The main functions of the system include data management and path planning.The data management module mainly provided building model data and sensor layer device data.The building model data is used for environment modeling.The sensor layer device data is managed through the Internet of Things platform to provide real-time environmental data.The path planning module implemented the dynamic path planning based on the environmental information,and visually display on the Unity platform.In the test experiment stage,the building model test data uses a building modeling data,and the sensor layer device data uses Alibaba Cloud's Io T platform virtual device data to complete the scene test.The test results show that the data management module can correctly access the path planning module through the Alibaba Cloud's application programming interface.The path planning module can implement functions such as load building model data,parsing subscription equipment data,judging the relationship between equipment data and equipment safety thresholds,dynamically updating path planning results,and real-time display.