Research On Fire Escape Path Planning Method For New Intelligent Building Platform

With the continuous emergence of large-scale commercial buildings in cities,the internal structure of buildings is becoming more and more complex.Building fires can easily cause indoor personnel to lose their escape directions and cause a large number of casualties.The safe evacuation of large-scale buildings is one of the key issues of building fire protection.Therefore,the study of large-scale building fire escape route planning methods has certain theoretical significance and application value.At this stage,the fire escape guidance system mainly adopts a distributed control method,which mainly relies on the centralized management of the system by the central manager.When faced with a huge amount of data,the system cannot make a decision and response in a short time,and the internal subsystems The information interaction between them is poor.The new building intelligent platform adopts a centerless and flat network architecture,which can realize the parallelization of the control process and effectively alleviate the problems of the system that adopts the distributed control mode.This article combines the new intelligent building platform,firstly uses the group intelligent building simulation platform to build a simulation model,provides the model data to the fire escape path planning algorithm,and performs path planning for the people trapped in the fire,and finally combines the simulation model and the fire escape path planning algorithm Build a fire escape guidance simulation system.Based on the above content,this article carried out the following research.(1)This article uses the group intelligent building simulation platform to build a simulation model to simulate the real operation of multiple devices.This paper uses the group intelligent building simulation platform to build the physical environment model,the fire spread model and the evacuation lighting indicator system model,simulates the environmental data in the fire scene,calculates the fire and smoke spread,and finally gives the evacuation instructions for the personnel.Through the joint debugging of the simulation model,the rationality and effectiveness of the model are verified.(2)In this paper,the improved firefly algorithm(FA)is designed to plan the path of the trapped people in the fire.The paper builds the building environment model for the new intelligent platform of building,and designs the network topology of the computing process node(CPN),takes the shortest escape path as the optimization goal of the algorithm,and the improved firefly algorithm interacts with its neighbor nodes in each iteration optimization process,and through distributed simulation platform verifies the feasibility of the improved firefly algorithm in the planning of escape path for indoor personnel.The algorithm in this paper can find the optimal path in a short time when planning the path.The algorithm convergence is faster and the accuracy of finding the optimal path is also high.(3)Combining the design and implementation of the fire escape system with the new intelligent building platform,this paper takes CPN as the core to build the hardware system,and divides the software system into four modules: module interface,fire alarm,route guidance,and data management.The programming language of the new building intelligent platform realizes the improved firefly algorithm and achieves the goal of guiding the escape route for people trapped in the fire.Figure [43] Table [10] Reference [55]...