The Construction Algorithm And Application Research Of Fire Temperature Field Based On Discrete Data

At present,there are frequent fire accidents in China,and the building density and the population density in the buildings are high.Once a fire occurs,if the fire cannot be extinguished in a timely manner and personnel are evacuated as soon as possible,it will cause major property losses and casualties.Therefore,this paper builds a fire temperature field based on the discrete temperature data collected by the fire detection system,and uses the fire temperature field situation map to determine the location of the fire and the distribution of the fire temperature field.It is used to guide personnel evacuation and emergency rescue tactics layout.First,the PyroSim software was used to establish the fire scene,and three interpolation methods were used to construct a temperature field for the simulated temperature data of the collected points.Select the temperature value at the coordinates of the verification point and the analog value at the verification point in the temperature field to compare the error.The maximum error between the interpolated data calculated by the bicubic interpolation method and the simulated value is about 10%,most of which are in the range of 4% to 7%.The error curve is relatively smooth,and the error value during different verifications fluctuates little.At the same time,three interpolation methods are used to draw the temperature data of the collection point and compare it with the temperature slices set in the scene.The cloud map of the fire temperature field drawn by the bicubic interpolation method can well reflect the temperature distribution in the fire field,distinguish between the high temperature area and the low temperature area,and more accurately locate the location of the fire.Therefore,the bicubic interpolation method is selected as the algorithm for constructing the fire temperature field and drawing the temperature cloud map.Secondly,on the basis of constructing the fire temperature field,a method of locating the center of the fire source and obtaining the heat release rate of the fire through the ceiling jet temperature is proposed.Use fire dynamic simulation data to fit the heat release rate inversion formula and verify the error of the inversion formula.It can be seen from formula(4.1)that the error between the heat release rate and the set value of the fire reversal is mostly less than 10%,and the maximum error value is 17.64%.The error between the heat release rate of the fire reversal and the set value in Equation(4.2)is mostly less than 10%.Therefore,it is feasible to use the temperature in the ceiling jet temperature field to obtain the heat release rate of the fire.Finally,the relevant software was developed using Python language,and the reliability of the software as well as the calculation accuracy and practicability in different scenarios were verified through simulation data.After verification,the fire temperature field monitoring and reconstruction software can better grasp the development of fire.By constructing the fire temperature field state diagram,the location of the fire and the distribution of the fire temperature field can be determined,and the evacuation and emergency rescue tactical layout can be guided.