Self-adaptive System For Dynamic Fire Risk Assessment Of Building Based On Internet Of Things And Deep Neural Network

With the development and deepening of urbanization,people,materials,and energy are highly concentrated in cities,and new materials,new processes,and new energy are widely used,resulting in an increasing number of factors that cause urban fires.The risk of fire is gradually increasing.Studies have shown that building fire risk assessment is an effective method to prevent urban building fires.Building fire risk assessment technology firstly identifies and counts building fire hazards,then qualitatively or quantitatively analyzes the fire hazard of urban buildings,and then proposes targeted urban fire prevention measures.However,the existing building fire risk assessment methods still have shortcomings such as high cost,low efficiency,and lagging results.Therefore,this article combines the fire risk status of urban buildings to identify the factors that affect the building fire risk,and builds a building fire risk assessment index system.On this basis,with the help of the Fire Internet of Things,the indicators are divided into dynamic indicators and static indicators according to the source,and the evaluation results will be updated in real time with the dynamic indicator data.A large number of expert weight sets are collected to form training samples,and on this basis,a building self-assessment model based on dynamic data of the Internet of Things and a deep neural network is constructed.We use Python and Tensor Flow to train,tune,apply verification,and modify the model.The application results show that the accuracy rate of the evaluation model reaches91%.This assessment method can conduct a real-time,efficient and automated assessment of building fire risks,and can provide a reference for the dynamic management of building fire risks and the precise rectification of fire safety.This article introduces the Internet of Things technology and AI artificial intelligence technology into the traditional building fire risk assessment method,which is a breakthrough and innovation of traditional building fire risk assessment technology,and it is also an indepth exploration of the value of the fire Internet of things.