Study On Combustion Characteristics And Intelligent Decision Database Of Building Household Materials

Due to the improvement of the people’s living standards brought by economic development,a variety of building materials have been widely used in the interior decoration of buildings.While as exquisite decoration brings enjoyment to our life,it also leaves serious fire safety hazards.In order to reduce the number of fires,the threat of fire and the loss caused by fire,it is necessary to study the combustion characteristics of building household materials.On the basis of the combustion characteristics data of building household materials,this paper establishes a database of combustion characteristics of building household materials and an evaluation model of fire hazard of materials based on BPNN-AHP.A database application program is developed for combustion characteristics of building household materials and intelligent decisionmaking,which can provide data support and a good platform for users to complete fire risk assessment,material combustion performance research and other work.Based on the cone calorimeter test data of common building and household materials collected from a large number of literatures,this paper carries out the system selection and the overall design of the combustion characteristics database of building household materials.My SQL database management system is used to establish the combustion characteristics database of building and household materials.The database not only supports users to inquire about material combustion characteristics data,data input,modification and update in the background of the database,but also can classify and manage materials.The combustion characteristics database of building household materials can assist users to complete the work related to material combustion characteristics data such as assessment of fire hazard and combustion performance of materials.Based on the theory of analytic hierarchy process(AHP)and BP neural network,a model combining AHP and BP neural network is proposed to evaluate fire risk of materials.First,the analytic hierarchy process is used to construct an evaluation system of fire hazard of materials,and determine the weight of each evaluation index.Samples are calculated based on experimental data and used to train and test the BP neural network.Finally,a BPNN-AHP evaluation model of material fire hazard is formed.Compared with the traditional analytic hierarchy process evaluation,this paper uses the BP neural network model to replace the process of artificially determining the index weight.The model test results show that the BPNN-AHP evaluation model proposed in this paper can make full use of the advantages of AHP and neural network,effectively avoid the defect of determining the weight of evaluation index artificially.At the same time,it can consider the positive effect of historical data,which can objectively and reasonably evaluate the fire hazard of materials.On the basis of the combustion characteristics database of building household materials and the evaluation model of fire hazard of materials based on BPNN-AHP,a database application program is developed by using Python for combustion characteristics of building household materials and intelligent decision.The application program is divided into three functional modules: data management module,information query module and intelligent decision module.The administrator can use the application program to complete the data information management and maintenance of the database,and users can use it to complete information query and evaluation of material fire risk.Finally,the database application program of the combustion characteristics of building household materials and intelligent decision is tested,and the functions of database application program are verified by the running examples.The proposed application program can provide a good platform for the related workers to evaluate and analyze the combustion characteristics of materials.