Research On Fire Situation Awareness Algorithm Based On Analytic Hierarchy Process And Fuzzy Decision

Urban fires are the main disasters we are most likely to encounter in our daily life and work.When faced with the problem of handling fire scenes,a certain number of rescuers need to be sent to the scene to work.However,there will be many difficulties in the fire scene,such as high temperature damage to physiological functions and smoke influences visibility.Therefore,situational awareness work on fire scenes is successfully carried out It is a research demand that is very worthy of attention.Generally speaking,the types of situation information in urban fire scenes are very rich,such as temperature,humidity,smoke concentration,oxygen concentration,air pressure,etc.These on-site situation information provide data support for researchers to conduct fire situation awareness.Aiming at the situational awareness problem in urban fire scenes,this research first studies the application of situational awareness theory and information fusion algorithm in fire scenes,understands the relevant characteristics of situational awareness theory and information fusion algorithm,and generates and handles fire scenes.Conducted research,constructed the fire scenario model used in the research and established the type of situation information that the research focused on,selected four situational awareness goals in the fire scenario,and clarified the means for the standardization of situation information data,so as to complete the model construction and preparations.Secondly,for the research scene of the fire scene,two kinds of fire scene situation awareness algorithms are proposed by using the analytic hierarchy process based mainly on the subjective initiative of front-line workers and the fuzzy neural network algorithm mainly based on the on-site data environment.The feasibility test of the two fire situation awareness algorithms is carried out with the selected four fire situation situation awareness targets.The experimental results show that the two fire situation awareness algorithms can accurately highlight high-risk information sources through the high value of situation awareness results,and also have a clear description of different types of fire situation awareness targets.Finally,through the least square method,the two fire situation awareness algorithms are organically combined to optimize the decision,and the final fire situation awareness algorithm based on AHP and fuzzy decision is obtained.The algorithm feasibility test can also accurately highlight the high-risk information sources through the high values of the situational awareness results,and clearly describe the situational awareness goals of different types of fire scenes.A comparative analysis of the situational awareness performance of the finally obtained fire situation awareness algorithm based on analytic hierarchy and fuzzy decision-making and the previous two basic fire situation awareness algorithms.The performance comparison indicators used are the feasibility range of situation awareness results and the accuracy of situation awareness results,The results show that the final fire situation awareness algorithm based on AHP and fuzzy decision-making has better comprehensive performance of situation awareness than the previous two basic fire situation awareness algorithms.It has a wider range of situation awareness and better accuracy.