A System For City Building Fire Data Management And Fire Forecast Based On Bayesian Network

Controlling fire can be regarded as a symbol of the progress of human civilization.But the uncontrollable fire,which leads to a fire,can pose an immeasurable threat to human life and property.It is necessary to predict and control the occurrence of fire for the sake of good and fast development.This article is based on the city building fire,using the Bayesian network model,the history fire data,the city building data and meteorological data of Tianjin,building a forecast system based on Bayesian network.The specific work includes the following several parts:· According to the characteristics of the city fire,and analyzing system require-ments.· System framework design.The system framework design mainly gives the frame structure,flow chart,database ER diagram,data processing and algorithm selection,and visualization module,etc.· Implementation of key technologies.The key techniques are detailed in the data preprocessing,predictive algorithm,the process and implementation of the visual module.· System performance.This paper analyzes the reliability,effectiveness,main-tainability and safety of the system.The innovation of this project is to promote the standardization and informationization of fire data,to complete data crawling,pre-processing,integration and storage through the established fire data factor dictionary,and to provide data foundation for the big data analysis of the business system.Has realized the fire hazard risk evaluation system,including the implementation for the fire hazard risk assessment,classification forecasting mathematical model and implementation efficiency,improved the security on major hazards,improved the ability of fire accident prevention.Using the supercomputing software and hardware environment of tianhe to provide a reliable hardware and software environment for subsequent project construction.