Thermal insulation material combustion performance prediction method, system and equipment and storage medium

Abstract

The invention provides a thermal insulation material combustion performance prediction method, system and device and a storage medium, and relates to the technical field of building material fireproof safety, and the method comprises the steps: obtaining environment parameters of an environment where a composite material in a building is located, and a first combustion curve; obtaining a first material characteristic and a second combustion curve of the old thermal insulation material and a second material characteristic and a third combustion curve of the new thermal insulation material; adjusting the first combustion curve in combination with the second combustion curve and the third combustion curve to generate an initial combustion curve; and on the basis of the initial combustion curve, generating a target combustion curve of the composite material in a preset duration by combining the first material characteristics, the second material characteristics and the environmental parameters, and generating a combustion performance index of the composite material in the preset duration according to the target combustion curve. The method has the technical effect that the combustion performance change of the composite thermal insulation material in different use periods can be accurately predicted.

Description

Technical Field

[0001] This application relates to the technical field of fire safety of building materials, and particularly relates to a method, system, device and storage medium for predicting the combustion performance of thermal insulation materials. Background Art

[0002] In the construction field, thermal insulation materials are widely used to improve the energy-saving performance of buildings. However, the combustion performance of these materials is directly related to the fire safety of buildings. Especially during the use of buildings, the combustion performance of thermal insulation materials changes over time, and their combustion characteristics are often significantly different from the initial state. When building renovation is carried out, it is even more difficult to accurately grasp the actual combustion performance of the composite material formed by the combination of old and new thermal insulation materials. Therefore, how to accurately predict the change of the combustion performance of composite thermal insulation materials at different usage times has become a key technical issue in the fire safety assessment of building materials.

[0003] Currently, the industry mainly predicts the change of the combustion performance of composite thermal insulation materials at different usage stages through combustion experiment tests in a standard laboratory environment. Although the above method can simply predict the change of the combustion performance of composite thermal insulation materials at different usage stages, the above method does not consider the influence of the actual usage environment on the combustion performance of composite thermal insulation materials, resulting in a deviation between the prediction result and the actual situation. Summary of the Invention

[0004] This application provides a method, system, device and storage medium for predicting the combustion performance of thermal insulation materials, which is used to accurately predict the change of the combustion performance of composite thermal insulation materials at different usage times.

[0005] In a first aspect, this application provides a method for predicting the combustion performance of thermal insulation materials. The method includes: obtaining the environmental parameters of the environment where the composite material is located in a building, and the first combustion curve of the composite material; the composite material is formed by combining old thermal insulation materials and new thermal insulation materials in a preset manner; the first combustion curve is the curve of the temperature changing with time during the combustion of the composite material; obtaining the first material characteristics and the second combustion curve of the old thermal insulation materials, and the second material characteristics and the third combustion curve of the new thermal insulation materials; the second combustion curve is the curve of the temperature changing with time during the combustion of the old thermal insulation materials, and the third combustion curve is the curve of the temperature changing with time during the combustion of the new thermal insulation materials; combining the second combustion curve and the third combustion curve to adjust the first combustion curve to generate an initial combustion curve; on the basis of the initial combustion curve, combining the first material characteristics, the second material characteristics and the environmental parameters to generate the target combustion curve of the composite material within a preset time period, and generating the combustion performance index of the composite material within the preset time period according to the target combustion curve.

[0006] By adopting the above technical solution, by obtaining the actual environmental parameters and initial combustion characteristics of the composite material, and analyzing in combination with the material characteristics and combustion curves of the old and new thermal insulation materials respectively, the accurate prediction of the combustion performance of the composite material is realized. By adjusting the first combustion curve in combination with the second and third combustion curves, the initial combustion characteristics after the combination of the old and new materials can be accurately reflected. When generating the target combustion curve, by comprehensively considering the influence of the first and second material characteristics and environmental parameters, the prediction result is closer to the actual usage condition. Finally, the combustion performance index generated by the target combustion curve can accurately predict the change of the combustion performance of the composite thermal insulation material in different usage periods.

[0007] Optionally, combining the second combustion curve and the third combustion curve to adjust the first combustion curve to generate an initial combustion curve includes: obtaining a first temperature change rate of the second combustion curve and a second temperature change rate of the third combustion curve; determining a proportional relationship between the first temperature change rate and the second temperature change rate according to the mass ratio of the old thermal insulation material and the new thermal insulation material in the composite material; performing a synthesis calculation on the first temperature change rate and the second temperature change rate according to the proportional relationship to obtain a reference temperature change rate of the composite material; and correcting the slope of the first combustion curve through the reference temperature change rate to generate an initial combustion curve matching the composition ratio of the composite material.

[0008] By adopting the above technical solution, by separately obtaining the first temperature change rate of the second combustion curve and the second temperature change rate of the third combustion curve, and determining the proportional relationship between the two based on the actual mass ratio of the old and new thermal insulation materials, the accurate modeling of the combustion characteristics of the composite material is realized. By performing a synthesis calculation on the temperature change rates of the two materials according to the mass ratio, the obtained reference temperature change rate can accurately reflect the overall combustion characteristics of the composite material. Finally, using the reference temperature change rate to correct the slope of the first combustion curve makes the generated initial combustion curve match the actual composition ratio of the composite material, thereby improving the accuracy of the combustion performance prediction and avoiding the prediction deviation caused by the material ratio.

[0009] Optionally, the slope correction of the first combustion curve by the reference temperature change rate to generate an initial combustion curve matching the composition ratio of the composite material includes: obtaining the initial temperature change rate of the first combustion curve; calculating the rate deviation value between the reference temperature change rate and the initial temperature change rate; performing slope correction on the first combustion curve according to the rate deviation value to generate an initial combustion curve matching the composition ratio of the composite material; wherein, when the rate deviation value is positive, increasing the heating rate of the first combustion curve; when the rate deviation value is negative, decreasing the heating rate of the first combustion curve; the adjustment ratio of the slope is directly proportional to the absolute value of the rate deviation value.

[0010] By adopting the above technical solution, by calculating the rate deviation value between the reference temperature change rate and the initial temperature change rate of the first combustion curve and dynamically adjusting the heating rate according to the positive or negative direction of the deviation value, the accurate correction of the first combustion curve is realized, so that the generated initial combustion curve can more accurately reflect the actual combustion characteristics of the composite material.

[0011] Optionally, on the basis of the initial combustion curve, combining the first material property, the second material property and the environmental parameters to generate the target combustion curve of the composite material within a preset time period includes: determining the first combustion effect coefficient of the old thermal insulation material within the preset time period according to the first material property; determining the second combustion effect coefficient of the new thermal insulation material within the preset time period according to the second material property; combining the first combustion effect coefficient and the second combustion effect coefficient to correct the temperature value of the initial combustion curve within the preset time period to obtain a corrected temperature value; applying the corrected temperature value to the initial combustion curve to obtain a combustion curve to be adjusted; correcting the combustion curve to be adjusted according to the environmental parameters to generate the target combustion curve of the composite material within the preset time period.

[0012] By adopting the above technical solution, by separately determining the combustion effect coefficients of the old and new thermal insulation materials, combining these coefficients to correct the temperature value of the initial combustion curve, and further correcting according to the environmental parameters, the comprehensive simulation of the combustion process of the composite material is realized, so that the generated target combustion curve can accurately reflect the combustion behavior of the material in the actual use environment.

[0013] Optionally, determining a first combustion effect coefficient of the old thermal insulation material within a preset duration according to the first material property; and determining a second combustion effect coefficient of the new thermal insulation material within a preset duration according to the second material property, includes: determining a first thermal conductivity attenuation coefficient of the old thermal insulation material within the preset duration according to the first material property, where the first thermal conductivity attenuation coefficient characterizes the change in thermal conductivity of the old thermal insulation material during combustion; determining a second thermal conductivity attenuation coefficient of the new thermal insulation material within the preset duration according to the second material property, where the second thermal conductivity attenuation coefficient characterizes the change in thermal conductivity of the new thermal insulation material during combustion; determining the first combustion effect coefficient of the old thermal insulation material within the preset duration according to the first thermal conductivity attenuation coefficient, where the first combustion effect coefficient is negatively correlated with the first thermal conductivity attenuation coefficient; and determining the second combustion effect coefficient of the new thermal insulation material within the preset duration according to the second thermal conductivity attenuation coefficient, where the second combustion effect coefficient is negatively correlated with the second thermal conductivity attenuation coefficient.

[0014] By adopting the above technical solution, the change in thermal conductivity of the material during combustion is characterized by introducing the thermal conductivity attenuation coefficient, and a negative correlation relationship between the thermal conductivity attenuation coefficient and the combustion effect coefficient is established, realizing the accurate characterization of the combustion characteristics of the old and new thermal insulation materials over time, so that the prediction result can accurately reflect the performance attenuation of the material during actual combustion.

[0015] Optionally, the environmental parameters include temperature and humidity. Adjusting the combustion curve to be adjusted according to the environmental parameters to generate a target combustion curve of the composite material within a preset duration includes: calculating a temperature correction coefficient according to the temperature, where the temperature correction coefficient is used to characterize the influence degree of the environmental temperature on the combustion process; calculating a humidity correction coefficient according to the humidity, where the humidity correction coefficient is used to characterize the influence degree of the environmental humidity on the combustion process; performing weighted summation on the temperature correction coefficient and the humidity correction coefficient to generate an environmental correction coefficient; and adjusting the combustion curve to be adjusted according to the environmental correction coefficient to generate a target combustion curve of the composite material within the preset duration. Among them, when the environmental temperature is higher than the standard test temperature or the environmental humidity is lower than the standard test humidity, the temperature value of the combustion curve is increased; when the environmental temperature is lower than the standard test temperature or the environmental humidity is higher than the standard test humidity, the temperature value of the combustion curve is decreased.

[0016] By adopting the above technical solution, the environmental correction coefficient is obtained by calculating the correction coefficients of temperature and humidity and performing weighted summation, and the temperature value of the combustion curve is dynamically adjusted according to the difference between the actual environmental parameters and the standard test conditions, realizing the accurate quantification of the influence of environmental factors, so that the generated target combustion curve can accurately reflect the combustion behavior of the composite material under actual environmental conditions.

[0017] Optionally, generating the combustion performance index of the composite material within the preset duration according to the target combustion curve includes: determining the highest temperature value and the average temperature rise rate of the composite material within the preset duration according to the target combustion curve; calculating the combustion grade index of the composite material according to the highest temperature value, where the combustion grade index is used to characterize the maximum combustion intensity of the composite material; calculating the spread speed index of the composite material according to the average temperature rise rate, where the spread speed index is used to characterize the diffusion speed of the flame on the composite material; and using the maximum combustion intensity and the diffusion speed as the combustion performance index of the composite material.

[0018] By adopting the above technical solution, by extracting the highest temperature value and the average temperature rise rate from the target combustion curve, and respectively calculating the combustion grade index representing the maximum combustion intensity and the spread speed index representing the flame diffusion speed, a multi-dimensional quantitative evaluation of the combustion performance of the composite material is achieved, so that the evaluation result can comprehensively reflect the safety performance characteristics of the material during the combustion process.

[0019] In a second aspect, the present application provides a prediction system for the combustion performance of a thermal insulation material. The system includes: a first acquisition module, a second acquisition module, a combination module, and a generation module; wherein, The first acquisition module is configured to acquire the environmental parameters of the environment where the composite material is located in a building, and the first combustion curve of the composite material; the composite material is formed by combining an old thermal insulation material and a new thermal insulation material in a preset manner; the first combustion curve is a curve of the temperature of the composite material changing with time during the combustion process; the second acquisition module is configured to acquire the first material characteristics and the second combustion curve of the old thermal insulation material, and the second material characteristics and the third combustion curve of the new thermal insulation material; the second combustion curve is a curve of the temperature of the old thermal insulation material changing with time during the combustion process, and the third combustion curve is a curve of the temperature of the new thermal insulation material changing with time during the combustion process; the combination module is configured to combine the second combustion curve and the third combustion curve, adjust the first combustion curve, and generate an initial combustion curve; the generation module is configured to, on the basis of the initial combustion curve, combine the first material characteristics, the second material characteristics, and the environmental parameters, generate the target combustion curve of the composite material within the preset duration, and generate the combustion performance index of the composite material within the preset duration according to the target combustion curve.

[0020] In a third aspect, the present application provides an electronic device, adopting the following technical solution: It includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions. The user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory, so that the electronic device executes a computer program of any one of the above-mentioned methods for predicting the combustion performance of thermal insulation materials.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, adopting the following technical solution: It stores a computer program that can be loaded and executed by a processor for any one of the above-mentioned methods for predicting the combustion performance of thermal insulation materials.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: By obtaining the actual environmental parameters and initial combustion characteristics of the composite material, and analyzing in combination with the material characteristics and combustion curves of the new and old thermal insulation materials respectively, the accurate prediction of the combustion performance of the composite material is realized. By adjusting the first combustion curve in combination with the second and third combustion curves, the initial combustion characteristics after the combination of the new and old materials can be accurately reflected. When generating the target combustion curve, by comprehensively considering the influence of the first and second material characteristics and environmental parameters, the prediction result is closer to the actual use situation. Finally, through the combustion performance index generated by the target combustion curve, the change of the combustion performance of the composite thermal insulation material in different usage periods can be accurately predicted. Description of the Drawings

[0023] Figure 1 is a schematic flowchart of a method for predicting the combustion performance of a thermal insulation material provided by an embodiment of the present application; Figure 2 is a schematic structural diagram of a system for predicting the combustion performance of a thermal insulation material provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0024] Description of the reference numerals: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. Detailed Embodiments

[0025] In order to enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0026] In the description of the embodiments of the present application, words such as "exemplary", "for example", or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary", "for example", or "for instance" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary", "for example", or "for instance" is intended to present the relevant concepts in a specific manner.

[0027] In the context of urban renewal and building energy efficiency renovation, a large number of existing buildings face the need for upgrading their insulation systems. These buildings usually have installed insulation materials for a certain number of years (referred to as "old insulation materials" in the present invention), and in the renovation project, new insulation materials (referred to as "new insulation materials" in the present invention) are often added on the basis of the original insulation layer to improve the overall energy efficiency performance of the building. This composite structure with coexistence of old and new insulation materials is very common in practical applications, but it also brings new challenges to the assessment of fire safety performance.

[0028] For example, a certain building originally used EPS foam board as the insulation material for its exterior wall. After years of use, the performance of this material has aged and no longer meets the latest building energy efficiency standards. In the energy efficiency renovation project carried out, the design solution decides to add a layer of rock wool insulation board outside the original EPS insulation layer to form a composite insulation structure of "EPS + rock wool". Although the newly added rock wool material itself has good fire resistance, after being combined with the aged EPS material, what is the overall combustion performance and what fire safety characteristics will be shown in the actual use environment of the building have become important issues of common concern to the owner, the design unit, and the fire department.

[0029] Traditional methods for testing the combustion performance of materials usually test single materials or newly made composite material samples in a standard laboratory environment, and it is difficult to accurately reflect the actual combustion performance of the old insulation materials that have been in service in buildings for many years after being combined with new materials. In particular, it is impossible to consider the influence of the actual building environment (such as temperature, humidity) on the combustion performance, and the change of the material performance during long-term use on the combustion characteristics.

[0030] The present invention aims at the technical problems in the above application scenarios and proposes a combustion performance prediction method that can comprehensively consider the characteristics of old and new insulation materials, the combination method, and the influence of the actual environment. This method can be applied in the design stage of building energy efficiency renovation projects to provide an accurate basis for fire safety assessment for the design unit; it can also be applied in the safety assessment process of existing buildings to help the property management unit and the fire department accurately grasp the actual fire safety status of the building, and timely discover and eliminate potential fire hazards. The specific solution Figure 1 is a schematic flow chart of a method for predicting the combustion performance of insulation materials provided by the embodiments of the present application. AsFigure 1 As shown, the method includes S101 - S104: S101, obtaining the environmental parameters of the environment where the composite material is located in the building, and the first combustion curve of the composite material; the composite material is formed by combining old thermal insulation materials and new thermal insulation materials in a preset manner; the first combustion curve is the curve of the temperature changing with time during the combustion process of the composite material.

[0031] In specific implementation, the environmental parameters of the environment where the composite material is located can be obtained through a building environment monitoring system. These environmental parameters mainly include, but are not limited to, temperature and humidity. The temperature parameter can collect the temperature data inside and outside the building through a temperature sensor, and the humidity parameter can obtain the relative humidity values inside and outside the building through a humidity sensor. The acquisition of these environmental parameters is crucial for accurately predicting the combustion performance of the composite material because there are differences between the actual environmental conditions and the standard laboratory environment, and these differences will significantly affect the combustion characteristics of the material. For example, in a high - temperature and low - humidity environment, thermal insulation materials often exhibit a higher combustion risk.

[0032] At the same time, it is necessary to obtain the first combustion curve of the composite material. Here, the composite material refers to a material combination formed by combining old thermal insulation materials and new thermal insulation materials in a preset manner. The preset manner can be different combination methods such as a laminated structure, a mixed structure, or an inlaid structure, etc. These different combination methods will cause the composite material to exhibit different combustion characteristics. The combustion curve refers to the curve of the temperature changing with time during the combustion process of the material, and it is an important index to characterize the combustion performance of the material. The first combustion curve can be obtained through a small - scale combustion experiment on a composite material sample, or the combustion curve data of similar composite materials can be extracted from the historical database as an initial reference.

[0033] When obtaining the first combustion curve, standard combustion test methods are usually adopted, such as cone calorimeter test or vertical combustion test, etc. During the test, the composite material sample is exposed to a controlled heat source, and the temperature sensor records the change of the temperature on the surface and inside of the material with time, forming a temperature - time curve, that is, the combustion curve. This curve usually includes the temperature rising section at the initial stage of combustion, the temperature peak section at the most intense combustion stage, and the temperature dropping section at the weakening combustion stage.

[0034] S102, obtaining the first material property and the second combustion curve of the old thermal insulation material, and the second material property and the third combustion curve of the new thermal insulation material; the second combustion curve is the curve of the temperature changing with time during the combustion process of the old thermal insulation material, and the third combustion curve is the curve of the temperature changing with time during the combustion process of the new thermal insulation material.

[0035] In the actual implementation process, the first material properties of the old thermal insulation material refer to the physical and chemical property parameters of the thermal insulation material that has been in service in the building for a period of time, including but not limited to the density, thermal conductivity, specific heat capacity, ignition point, flame retardant content, and material aging degree of the material, etc. These property parameters can be obtained by sampling and testing the existing thermal insulation material in the building, or can be estimated by referring to the original building design documents combined with the material aging model. For example, for an EPS foam thermal insulation board that has been in service for 15 years, the current change in the flame retardant content can be determined by thermogravimetric analysis (TGA) testing, and the attenuation degree of its heat insulation performance can be determined by thermal conductivity testing. These material property data can reflect the performance changes of the old thermal insulation material during long-term use, providing a necessary basis for accurately predicting its combustion behavior.

[0036] At the same time, it is necessary to obtain the second combustion curve of the old thermal insulation material, that is, the curve of the temperature change of the old thermal insulation material over time during combustion. This combustion curve can be obtained by conducting a standard combustion test on the old thermal insulation material sample extracted from the building. During the test, the state of the material in the actual building should be simulated as much as possible, such as considering factors such as its aging degree and moisture content. The combustion curve obtained in this way can truly reflect the current combustion performance of the old thermal insulation material, rather than the theoretical combustion performance of the new material.

[0037] Meanwhile, the second material properties of the new thermal insulation material refer to the physical and chemical property parameters of the new thermal insulation material to be applied to building renovation, including but not limited to the density, thermal conductivity, specific heat capacity, ignition point, flame retardant content, etc. of the material. These property parameters can usually be obtained from the product technical specifications provided by the material supplier, or directly obtained through laboratory tests. Since the new thermal insulation material has not been actually used, its material properties usually conform to the standard data provided by the manufacturer, but the mutual influence that may occur after its combination with the old thermal insulation material still needs to be considered.

[0038] Similarly, it is necessary to obtain the third combustion curve of the new thermal insulation material, that is, the curve of the temperature change of the new thermal insulation material over time during combustion. This combustion curve can be obtained by conducting a standard combustion test on the new thermal insulation material sample, or can be obtained from the product test report provided by the material supplier. The combustion curve of the new thermal insulation material usually shows the combustion characteristics expected during material design. For example, a flame retardant material may show a slower temperature rise rate and a lower temperature peak.

[0039] S103, combine the second combustion curve and the third combustion curve to adjust the first combustion curve to generate an initial combustion curve.

[0040] In specific implementation, it is first necessary to analyze the characteristics of the second combustion curve and the third combustion curve. The second combustion curve represents the curve of the temperature change of the old thermal insulation material over time during combustion, which reflects the combustion characteristics of the thermal insulation material after a certain service life; the third combustion curve represents the curve of the temperature change of the new thermal insulation material over time during combustion, which reflects the combustion characteristics of the new material. These two combustion curves usually have differences in aspects such as the temperature rise rate, the maximum temperature value, and the combustion duration, and these differences directly affect the overall combustion behavior of the composite material.

[0041] In the specific adjustment process, it is first necessary to obtain the first temperature change rate of the second combustion curve and the second temperature change rate of the third combustion curve. The temperature change rate is an important parameter describing how fast the temperature changes over time on the combustion curve, and it can be obtained by analyzing the derivative value of the temperature with respect to time in the combustion curve. For example, for the combustion curve of typical thermal insulation materials, the average temperature rise rate in the initial stage of combustion (the first few minutes after ignition) can be calculated as the characteristic value of the temperature change rate. Due to reasons such as aging or volatilization of flame retardants in the old thermal insulation material, its temperature change rate may be significantly different from that of the new material.

[0042] Subsequently, according to the mass ratio of the old thermal insulation material to the new thermal insulation material in the composite material, the proportional relationship between the first temperature change rate and the second temperature change rate is determined. The mass ratio refers to the mass proportion of the old thermal insulation material and the new thermal insulation material in the composite material, and this parameter directly affects the overall combustion performance of the composite material. For example, in a building renovation project, if each square meter of the wall contains 2 kilograms of old EPS thermal insulation material and 1 kilogram of newly added rock wool thermal insulation material, then the mass ratio is 2:1. According to this ratio, the weights of the first temperature change rate and the second temperature change rate in the synthesis calculation can be determined.

[0043] Next, according to the determined proportional relationship, the first temperature change rate and the second temperature change rate are synthesized and calculated to obtain the reference temperature change rate of the composite material. The synthesis calculation can use the weighted average method, that is, the reference temperature change rate = (the first temperature change rate × the mass proportion of the old material) + (the second temperature change rate × the mass proportion of the new material). This calculation method takes into account the actual proportion of each component material in the composite material and can more accurately reflect the actual combustion rate characteristics of the composite material.

[0044] Finally, the slope of the first combustion curve is corrected according to the reference temperature change rate to generate an initial combustion curve that matches the composition ratio of the composite material. During the slope correction process, first, the initial temperature change rate of the first combustion curve needs to be obtained, and then the rate deviation value between the reference temperature change rate and the initial temperature change rate is calculated. According to the positive or negative of the rate deviation value, the first combustion curve is adjusted accordingly: when the rate deviation value is positive, the heating rate of the first combustion curve is increased; when the rate deviation value is negative, the heating rate of the first combustion curve is decreased. The adjustment ratio of the slope is proportional to the absolute value of the rate deviation value, which ensures the accuracy and rationality of the adjustment.

[0045] For example, if the calculated reference temperature change rate is 15 °C / minute, and the initial temperature change rate of the first combustion curve is 12 °C / minute, then the rate deviation value is +3 °C / minute. This indicates that the actual combustion rate of the composite material may be faster than the initial measured value, and the first combustion curve needs to be adjusted upward to increase its heating rate to more accurately reflect the combustion characteristics of the composite material.

[0046] Based on the above embodiments, as an alternative implementation, in S103, adjusting the first combustion curve in combination with the second combustion curve and the third combustion curve to generate the initial combustion curve specifically includes S31 - S34: S31, obtaining the first temperature change rate of the second combustion curve and the second temperature change rate of the third combustion curve.

[0047] First, the first temperature change rate of the second combustion curve and the second temperature change rate of the third combustion curve need to be obtained. The temperature change rate is an important parameter that describes how fast the temperature of a material rises or falls during combustion, and it directly reflects the intensity of material combustion and the flame propagation speed. Specifically, during implementation, by performing mathematical processing on the second combustion curve and the third combustion curve, the temperature derivative value (dT / dt), that is, the rate of change of temperature with respect to time, can be calculated at each time point. To obtain a more representative temperature change rate, key stages on the combustion curve are usually selected for analysis, such as the rapid heating stage after the material is ignited (usually the part with the largest curve slope). For example, the average temperature rise rate within the range where the temperature of the combustion curve rises from 100 °C to the ignition point of the material can be calculated, or the numerical differentiation method can be used to obtain the instantaneous temperature rise rate at each point on the curve, and then the maximum value is selected as the characteristic value of the temperature change rate. In this way, the first temperature change rate of the old thermal insulation material and the second temperature change rate of the new thermal insulation material can be obtained, which are the basic data for subsequent synthesis calculations.

[0048] S32, determining the proportional relationship between the first temperature change rate and the second temperature change rate according to the mass ratio of the old thermal insulation material to the new thermal insulation material in the composite material.

[0049] The mass ratio refers to the mass proportion of the old thermal insulation material and the new thermal insulation material in the composite material. This parameter is usually determined according to the design scheme of the building renovation project or obtained through on-site sampling and measurement. For example, in a renovation project of an exterior wall thermal insulation system, if each square meter of the wall contains 3 kilograms of old EPS thermal insulation material and 2 kilograms of newly added phenolic thermal insulation material, then the mass ratio is 3:2. According to this ratio, the weight coefficients of the first temperature change rate and the second temperature change rate in the synthesis calculation can be determined. Specifically, the weight coefficient of the old thermal insulation material is its mass proportion, that is, 3 / (3 + 2) = 0.6; the weight coefficient of the new thermal insulation material is its mass proportion, that is, 2 / (3 + 2) = 0.4. This method of weight distribution based on the mass ratio takes into account the actual content of each material in the composite material and can more accurately reflect its contribution to the overall combustion performance.

[0050] S33. According to the proportional relationship, perform a synthesis calculation on the first temperature change rate and the second temperature change rate to obtain the reference temperature change rate of the composite material.

[0051] According to the determined proportional relationship, perform a synthesis calculation on the first temperature change rate and the second temperature change rate to obtain the reference temperature change rate of the composite material. The synthesis calculation usually adopts the weighted average method, that is, the temperature change rates of each material are weighted and summed according to their weight coefficients. The specific calculation formula is: reference temperature change rate = first temperature change rate × weight coefficient of the old thermal insulation material + second temperature change rate × weight coefficient of the new thermal insulation material. For example, if the first temperature change rate of the old EPS thermal insulation material is 20 °C / minute and the second temperature change rate of the newly added phenolic thermal insulation material is 10 °C / minute, according to the aforementioned weight coefficients, the reference temperature change rate of the composite material is 20×0.6 + 10×0.4 = 16 °C / minute. This weighted average calculation method takes into account the actual proportion of each constituent material in the composite material and can more accurately reflect the combustion dynamic characteristics of the composite material.

[0052] However, it should be noted that for some special types of composite materials, there may be synergistic or inhibitory effects between the constituent materials, and simple weighted average may not accurately reflect their actual combustion behavior. In this case, a correction coefficient can be introduced to adjust the calculation result. The correction coefficient can be determined according to experimental data or professional experience and is used to characterize the degree of influence of the interaction between materials on the combustion performance. For example, when the newly added flame-retardant thermal insulation material can significantly inhibit the combustion of the old thermal insulation material, a correction coefficient less than 1 can be introduced to make the calculated reference temperature change rate closer to the actual situation.

[0053] S34. Perform slope correction on the first combustion curve based on the reference temperature change rate to generate an initial combustion curve that matches the composition ratio of the composite material.

[0054] Perform slope correction on the first combustion curve based on the reference temperature change rate to generate an initial combustion curve that matches the composition ratio of the composite material. Specifically, during implementation, first, it is necessary to obtain the initial temperature change rate of the first combustion curve, and then calculate the ratio of the reference temperature change rate to the initial temperature change rate, that is, the slope correction coefficient. According to the slope correction coefficient, the temperature values at each time point on the first combustion curve are adjusted accordingly. The adjustment method is as follows: when the slope correction coefficient is greater than 1, the temperature values at each time point are increased proportionally; when the slope correction coefficient is less than 1, the temperature values at each time point are decreased proportionally. This adjustment is not a simple scaling of temperature values but takes into account the dynamic characteristics of temperature change. Therefore, it is necessary to perform differential processing on different stages of the combustion curve.

[0055] For example, for the initial stage of combustion (such as the first few minutes after ignition), a linear adjustment method can be used, that is, the adjusted temperature value = the original temperature value × the slope correction coefficient; for the middle and late stages of combustion, considering the change in the combustion characteristics of the material, a non-linear adjustment method can be used, such as an exponential function or a piecewise function, so that the adjusted combustion curve can more accurately reflect the actual combustion process of the composite material. The selection of the specific adjustment function and the determination of parameters can be optimized according to the material type and experimental data. After the adjustment is completed, the obtained initial combustion curve will match the actual composition ratio of the composite material, laying a foundation for more refined adjustments considering the influence of material characteristics and environmental parameters in the future.

[0056] Based on the above embodiments, as an optional implementation manner, in S34, performing slope correction on the first combustion curve based on the reference temperature change rate to generate an initial combustion curve that matches the composition ratio of the composite material specifically includes S341 - S343: S341. Obtain the initial temperature change rate of the first combustion curve.

[0057] First, it is necessary to obtain the initial temperature change rate of the first combustion curve. The first combustion curve refers to the combustion curve of the composite material obtained in S101, which reflects the combustion characteristics of the composite material under the initial test conditions. The initial temperature change rate refers to the rate at which the temperature changes with time on the first combustion curve. It is an important characteristic parameter of the combustion curve and directly reflects the intensity of the material's combustion. The method for obtaining the initial temperature change rate is similar to that for obtaining the first temperature change rate of the second combustion curve and the second temperature change rate of the third combustion curve. It can be achieved by performing mathematical processing on the first combustion curve and calculating the derivative value of the temperature with respect to time on the combustion curve. To ensure the accuracy and representativeness of the calculation, usually the stage on the combustion curve that best reflects the combustion characteristics of the material is selected for analysis, such as the rapid temperature rise stage after the material is ignited.

[0058] In specific implementation, various mathematical methods can be used to calculate the initial temperature change rate. A commonly used method is to select the interval from the ignition temperature to the highest temperature on the combustion curve and calculate the average temperature rise rate within this interval, that is, (highest temperature - ignition temperature) / (time to reach the highest temperature - ignition time). Another more accurate method is to use numerical differentiation techniques to perform differential processing on the temperature data on the combustion curve to obtain the instantaneous temperature rise rate at each time point, and then select the temperature rise rate in the most intense combustion stage (usually the part with the largest curve slope) as the initial temperature change rate. For example, for the first combustion curve of a certain composite thermal insulation material, the calculated average temperature rise rate within 1 - 3 minutes after ignition is 15 °C / minute, and this value can be used as the initial temperature change rate for subsequent calculations.

[0059] S342. Calculate the rate deviation value between the reference temperature change rate and the initial temperature change rate.

[0060] It is necessary to calculate the rate deviation value between the reference temperature change rate and the initial temperature change rate. The rate deviation value is a parameter that characterizes the difference between the reference temperature change rate and the initial temperature change rate, and it is the basis for subsequent slope correction. The calculation method is: rate deviation value = reference temperature change rate - initial temperature change rate. The positive or negative of the rate deviation value directly reflects the direction of the difference between the actual combustion rate of the composite material and the combustion rate obtained from the initial test, and its absolute value reflects the magnitude of the difference. For example, if the reference temperature change rate calculated in step S33 is 18 °C / minute and the initial temperature change rate is 15 °C / minute, then the rate deviation value is +3 °C / minute, indicating that the actual combustion rate of the composite material may be faster than the initial measurement value.

[0061] The purpose of introducing the concept of rate deviation value is to provide a quantitative index for guiding subsequent combustion curve correction. Compared with the simple rate ratio, the rate deviation value can more intuitively reflect the degree of difference between the actual combustion rate and the initial measurement value, facilitating the understanding and application by engineering and technical personnel. In addition, the calculation of the rate deviation value takes into account the influence of the actual material composition on the combustion characteristics and can more accurately reflect the combustion dynamic characteristics of the composite material.

[0062] S343, according to the rate deviation value, perform slope correction on the first combustion curve to generate an initial combustion curve matching the composite material composition ratio; wherein, when the rate deviation value is positive, increase the heating rate of the first combustion curve; when the rate deviation value is negative, decrease the heating rate of the first combustion curve; the adjustment ratio of the slope is proportional to the absolute value of the rate deviation value.

[0063] According to the rate deviation value, perform slope correction on the first combustion curve to generate an initial combustion curve matching the composite material composition ratio. Slope correction means adjusting the temperature values at each time point on the first combustion curve according to the rate deviation value, so that the adjusted combustion curve can more accurately reflect the actual combustion characteristics of the composite material. The specific correction rule is: when the rate deviation value is positive, increase the heating rate of the first combustion curve; when the rate deviation value is negative, decrease the heating rate of the first combustion curve; the adjustment ratio of the slope is proportional to the absolute value of the rate deviation value.

[0064] In actual operation, a linear adjustment method can be used to correct the first combustion curve. First, determine the adjustment coefficient K, which is proportional to the absolute value of the rate deviation value and can be expressed as K = α×|rate deviation value|, where α is an empirical coefficient related to the material type and experimental conditions. Then, according to the adjustment coefficient and the positive or negative of the rate deviation value, adjust the temperature value T(t) at each time point t on the first combustion curve: when the rate deviation value is positive, the adjusted temperature value T'(t) = T(t)×(1 + K×t / tmax), where tmax is the total duration of the combustion test; when the rate deviation value is negative, the adjusted temperature value T'(t) = T(t)×(1 - K×t / tmax). This adjustment method takes into account the influence of time factors and makes the correction of the combustion curve more reasonable and accurate.

[0065] For example, in the case where the rate deviation value is +3 °C / minute in the aforementioned example, if the empirical coefficient α = 0.01, then the adjustment coefficient K = 0.01 × 3 = 0.03. For the data point on the first combustion curve at the time point t = 5 minutes and the temperature value T(5) = 300 °C, if the total duration of the combustion test tmax = 30 minutes, then the adjusted temperature value T'(5) = 300 × (1 + 0.03 × 5 / 30) = 300 × 1.005 = 301.5 °C. It can be seen that for the temperature values in the initial stage of combustion, the adjustment range is small; while for the temperature values in the later stage of combustion, the adjustment range is large, which is in line with the cumulative effect of temperature changes during the combustion process.

[0066] Of course, the above linear adjustment method is applicable to general situations. For special types of materials or specific combustion stages, more complex non-linear adjustment methods may be required, such as exponential functions or piecewise functions, to more accurately reflect the combustion characteristics of the materials. The specific function forms and parameters can be optimized and adjusted according to the material type and experimental data.

[0067] S104. Based on the initial combustion curve, combined with the first material property, the second material property, and the environmental parameters, generate the target combustion curve of the composite material within the preset duration, and generate the combustion performance index of the composite material within the preset duration according to the target combustion curve.

[0068] When implementing this step, first, it is necessary to determine the first combustion effect coefficient of the old thermal insulation material within the preset duration according to the first material property. The first material property refers to the physical and chemical property parameters of the old thermal insulation material, such as density, thermal conductivity, specific heat capacity, ignition point, etc. The first combustion effect coefficient is a comprehensive parameter used to characterize the influence degree of the old thermal insulation material on the temperature change during the combustion process. During the process of determining the first combustion effect coefficient, it is necessary to first determine the first thermal conductivity attenuation coefficient of the old thermal insulation material within the preset duration according to the first material property. The first thermal conductivity attenuation coefficient is a parameter that characterizes the change of the thermal conductivity of the old thermal insulation material during the combustion process, and it reflects the dynamic change of the thermal conductivity of the material during the thermal decomposition process. For example, some organic thermal insulation materials will melt in the initial stage of combustion, resulting in a rapid increase in the thermal conductivity, and as the combustion continues, a carbonized layer may form on the surface of the material, which will also lead to a decrease in the thermal conductivity. By analyzing the thermal decomposition mechanism of the material and experimental data, a mathematical model of the thermal conductivity changing with temperature and time can be established, thereby obtaining the first thermal conductivity attenuation coefficient. According to the first thermal conductivity attenuation coefficient, the first combustion effect coefficient can be determined, and there is a negative correlation between the two. This is because the more obvious the attenuation of the thermal conductivity performance, the stronger the heat insulation effect of the material, the slower the temperature rise rate during the combustion process, and thus the smaller the combustion effect.

[0069] Similarly, it is necessary to determine the second combustion effect coefficient of the new thermal insulation material within the preset duration according to the second material property. The second material property refers to the physicochemical property parameters of the new thermal insulation material. The process of determining the second combustion effect coefficient is similar to that of determining the first combustion effect coefficient. First, it is necessary to determine the second thermal conductivity attenuation coefficient of the new thermal insulation material within the preset duration according to the second material property, and then determine the second combustion effect coefficient based on the second thermal conductivity attenuation coefficient. The two are also negatively correlated. For example, for a new type of thermal insulation material containing inorganic flame retardant fillers, it may release crystal water at high temperatures, forming an insulating gas layer, resulting in a significant reduction in the thermal conductivity coefficient. At this time, the second thermal conductivity attenuation coefficient is large, and the corresponding second combustion effect coefficient is small.

[0070] After determining the first combustion effect coefficient and the second combustion effect coefficient, it is necessary to combine these two coefficients to correct the temperature values of the initial combustion curve within the preset duration to obtain the corrected temperature values. The correction process usually adopts a weighted adjustment method. According to the mass ratio or volume ratio of the two materials in the composite material, the weights of their respective combustion effect coefficients are determined, and then the temperature values of the initial combustion curve are adjusted accordingly. For example, if the first combustion effect coefficient indicates that the old material will accelerate combustion at high temperatures, and the second combustion effect coefficient indicates that the new material has good flame retardant properties, then after comprehensively considering the effects of both, it may be necessary to moderately reduce the high-temperature section of the initial combustion curve. In this way, the obtained corrected temperature values can more accurately reflect the interaction and comprehensive effects of the constituent materials in the composite material during the combustion process.

[0071] After applying the corrected temperature values to the initial combustion curve, the combustion curve to be adjusted is obtained. This curve has considered the influence of material properties on the combustion process, but has not yet considered the role of environmental parameters. Therefore, the next step is to correct the combustion curve to be adjusted according to the environmental parameters to generate the target combustion curve of the composite material within the preset duration. The environmental parameters mainly include temperature and humidity, which have a significant impact on the combustion performance of materials. In the specific correction process, first, the temperature correction coefficient is calculated according to the environmental temperature. This coefficient is used to characterize the influence degree of the environmental temperature on the combustion process. For example, when the environmental temperature is high, the ignition time of the material is shortened, and the combustion rate increases. At this time, the temperature correction coefficient is positive; on the contrary, when the environmental temperature is low, the ignition time of the material is extended, and the combustion rate decreases. At this time, the temperature correction coefficient is negative.

[0072] Meanwhile, calculate the humidity correction coefficient based on the environmental humidity. This coefficient is used to characterize the influence degree of environmental humidity on the combustion process. Generally speaking, the higher the environmental humidity, the higher the moisture content of the material, and the lower the combustion rate. At this time, the humidity correction coefficient is negative; on the contrary, the lower the environmental humidity, the lower the moisture content of the material, and the higher the combustion rate. At this time, the humidity correction coefficient is positive. Weightedly sum the temperature correction coefficient and the humidity correction coefficient to generate the environmental correction coefficient. During the weighting process, the respective weights can be determined according to the sensitivity of different materials to temperature and humidity to obtain a more accurate correction effect.

[0073] According to the environmental correction coefficient, finally correct the combustion curve to be adjusted to generate the target combustion curve of the composite material within the preset time period. The specific correction rule is: when the environmental temperature is higher than the standard test temperature or the environmental humidity is lower than the standard test humidity, increase the temperature value of the combustion curve; when the environmental temperature is lower than the standard test temperature or the environmental humidity is higher than the standard test humidity, decrease the temperature value of the combustion curve. The correction amplitude is proportional to the absolute value of the environmental correction coefficient, ensuring the accuracy and rationality of the correction.

[0074] Finally, according to the target combustion curve, generate the combustion performance indicators of the composite material within the preset time period. First, it is necessary to determine the highest temperature value and the average temperature rise rate of the composite material within the preset time period according to the target combustion curve. The highest temperature value is the temperature peak on the combustion curve, which reflects the highest temperature that the material can reach during the combustion process; the average temperature rise rate refers to the average temperature change rate of the material from ignition to the highest temperature, which reflects the speed at which the flame spreads on the material. According to the highest temperature value, the combustion grade index of the composite material can be calculated. This index is used to characterize the maximum combustion intensity of the composite material. For example, the material can be determined to belong to which combustion grade, such as Class A (non-combustible), Class B1 (difficult to burn), Class B2 (combustible), or Class B3 (flammable), etc., by comparing the highest temperature value with the standard combustion grade temperature threshold. According to the average temperature rise rate, the spread speed index of the composite material can be calculated. This index is used to characterize the spread speed of the flame on the composite material. The spread speed index is usually related to the flame spread length or spread time of the material in the standard combustion test, and it is one of the important parameters for evaluating the fire safety performance of the material.

[0075] Based on the above embodiments, as an optional implementation manner, in S104, on the basis of the initial combustion curve, combining the first material property, the second material property, and the environmental parameters to generate the target combustion curve of the composite material within the preset time period specifically includes S41 - S44: S41, determine the first combustion effect coefficient of the old thermal insulation material within the preset time period according to the first material property; determine the second combustion effect coefficient of the new thermal insulation material within the preset time period according to the second material property.

[0076] The combustion effect coefficient is a comprehensive parameter used to characterize the degree of influence of a material on temperature changes during combustion, and it is closely related to the physical and chemical properties of the material. The process of determining the combustion effect coefficient needs to consider the dynamic change characteristics of the material during combustion, especially the change in thermal conductivity.

[0077] Specifically, for old thermal insulation materials, first determine the first thermal conductivity attenuation coefficient within a preset time period according to the first material property. The first thermal conductivity attenuation coefficient is a parameter characterizing the change in thermal conductivity of old thermal insulation materials during combustion, and it reflects the dynamic change of the thermal conductivity coefficient during the thermal decomposition of the material. The calculation method can adopt a theoretical model based on the material composition and structure. For example, for thermal insulation materials containing organic matter, experimental measurement methods can be used. By measuring the thermal conductivity of the material at different temperatures, plotting the curve of the thermal conductivity versus temperature, and then combining the temperature distribution during combustion, the thermal conductivity attenuation coefficient can be calculated.

[0078] For example, for EPS foam thermal insulation boards that have been in service for many years, due to reasons such as aging and volatilization of flame retardants, the thermal conductivity attenuation at the initial stage of combustion may be small, and the thermal conductivity attenuation coefficient may be between 0.9 - 0.95; while in the later stage of combustion, with the carbonization and melting of the material, the thermal conductivity attenuation coefficient may drop to 0.7 - 0.8.

[0079] After determining the first thermal conductivity attenuation coefficient, the first combustion effect coefficient can be calculated according to the relationship between the thermal conductivity attenuation coefficient and the combustion effect. Generally speaking, the smaller the thermal conductivity attenuation coefficient, the better the heat insulation performance of the material, the stronger the inhibitory effect on temperature rise, and thus the smaller the combustion effect coefficient; conversely, the larger the thermal conductivity attenuation coefficient, the stronger the thermal conductivity of the material, the faster the temperature rises, and the larger the combustion effect coefficient. The specific calculation can use the empirical formula: First combustion effect coefficient = K1×(1 - First thermal conductivity attenuation coefficient)^n, where K1 and n are empirical parameters related to the material type. For the aforementioned example, if K1 = 2 and n = 0.5, then at the initial stage of combustion, the first combustion effect coefficient is approximately 2×(1 - 0.9)^0.5 = 0.63; at the later stage of combustion, the first combustion effect coefficient is approximately 2×(1 - 0.7)^0.5 = 1.1.

[0080] Similarly, for new thermal insulation materials, determine the second thermal conductivity attenuation coefficient within a preset time period according to the second material property, and then calculate the second combustion effect coefficient. Due to the targeted design and production of new thermal insulation materials, they usually have better flame retardant performance and more stable thermal conductivity characteristics, and the changes in their thermal conductivity attenuation coefficient and combustion effect coefficient may be different from those of old thermal insulation materials. For example, for new inorganic mineral fiber thermal insulation materials, due to their good high-temperature stability, the thermal conductivity attenuation coefficient may remain at a relatively low level during combustion, such as 0.6 - 0.7, and the corresponding second combustion effect coefficient may be between 1.2 - 1.3.

[0081] Based on the above embodiments, as an alternative embodiment, in S41, according to the first material characteristics, determine the first combustion effect coefficient of the old thermal insulation material within a preset time period; according to the second material characteristics, determine the second combustion effect coefficient of the new thermal insulation material within a preset time period, which specifically includes S411 - S414: S411, according to the first material characteristics, determine the first thermal conductivity attenuation coefficient of the old thermal insulation material within a preset time period, and the first thermal conductivity attenuation coefficient characterizes the change in the thermal conductivity of the old thermal insulation material during the combustion process.

[0082] During the specific determination of the first thermal conductivity attenuation coefficient, it is necessary to consider the basic physical and chemical characteristics of the old thermal insulation material, such as material type, density, porosity, moisture content, flame retardant content, etc. These characteristics together constitute the first material characteristics. For different types of old thermal insulation materials, different calculation methods can be used. For example, for organic thermal insulation materials (such as polystyrene foam, polyurethane foam, etc.), they usually go through stages such as melting, decomposition, and carbonization during combustion, and the change in thermal conductivity can be described by a multi-stage model. Specifically, the combustion process can be divided into several characteristic stages, such as the preheating stage, melting stage, active combustion stage, and carbonization stage, and then the change in thermal conductivity in each stage can be modeled.

[0083] Taking the old EPS foam thermal insulation board as an example, its first thermal conductivity attenuation coefficient can be expressed as a piecewise function of time t: when t is in the preheating stage (0 - 3 minutes), the first thermal conductivity attenuation coefficient = 1 - 0.05×t, reflecting the slow change in the thermal conductivity of the material in the initial stage of heating; when t is in the melting stage (3 - 8 minutes), the first thermal conductivity attenuation coefficient = 0.85 - 0.1×(t - 3), reflecting the significant change in the thermal conductivity of the material during the melting process; when t is in the active combustion stage (8 - 15 minutes), the first thermal conductivity attenuation coefficient = 0.35 - 0.02×(t - 8), reflecting the continuous change in the thermal conductivity of the material during the combustion process; when t is in the carbonization stage (after 15 minutes), the first thermal conductivity attenuation coefficient remains at about 0.21, reflecting the relative stability of the thermal conductivity after the formation of the carbonized layer. This piecewise function model can better describe the dynamic change characteristics of the thermal conductivity of the old thermal insulation material during the combustion process.

[0084] For inorganic thermal insulation materials (such as rock wool, glass wool, etc.), there are usually no obvious phase changes and decompositions during the combustion process, and the change in thermal conductivity is relatively small, so a simplified model can be adopted. For example, an exponential decay model can be used to describe the change in its thermal conductivity: the first thermal conductivity decay coefficient = e^(-λ×t), where λ is the decay constant related to the material properties. For old inorganic thermal insulation materials, due to long-term use, the structure may become loose or the moisture content may change, and their thermal decay characteristics may be different from those of new materials, and the decay constant needs to be adjusted according to the actual situation.

[0085] S412. Determine the second thermal conductivity decay coefficient of the new thermal insulation material within the preset time according to the second material property. The second thermal conductivity decay coefficient characterizes the change in the thermal conductivity of the new thermal insulation material during the combustion process.

[0086] It is necessary to determine the second thermal conductivity decay coefficient of the new thermal insulation material within the preset time according to the second material property. Similar to step S411, considering the basic physical and chemical properties of the new thermal insulation material, such as material type, density, porosity, moisture content, flame retardant content, etc., is also required to determine the second thermal conductivity decay coefficient. The difference is that due to the pertinence of its design and production, the new thermal insulation material usually has better flame retardant performance and more stable thermal conductivity characteristics, and the change law of its thermal conductivity decay coefficient may be different from that of the old thermal insulation material.

[0087] For example, for a new type of flame retardant EPS thermal insulation board, due to the addition of an efficient flame retardant, it will release flame retardant gas when heated to form a protective layer, and the thermal decay is more significant. Its second thermal conductivity decay coefficient can be expressed as: the second thermal conductivity decay coefficient = 1 - α×t^β, where α and β are parameters related to the type and content of the flame retardant. When the flame retardant content is high, the value of α is large, indicating more significant thermal decay; the value of β is usually between 0.5 and 1, reflecting the non-linear characteristics of the thermal decay.

[0088] For new types of inorganic thermal insulation materials (such as modified rock wool, aerogel, etc.), their thermal conductivity characteristics are more stable, and the second thermal conductivity decay coefficient can be simplified to a piecewise constant function: when the temperature is lower than the critical temperature, the second thermal conductivity decay coefficient remains at a high level, such as 0.9; when the temperature exceeds the critical temperature, the second thermal conductivity decay coefficient rapidly drops to a low level, such as 0.3, and remains stable in the subsequent time. This model reflects the characteristics that some inorganic thermal insulation materials will undergo structural changes (such as sintering, densification, etc.) at high temperatures, resulting in sudden changes in thermal conductivity.

[0089] S413. Determine the first combustion effect coefficient of the old thermal insulation material within the preset time according to the first thermal conductivity decay coefficient. The first combustion effect coefficient is negatively correlated with the first thermal conductivity decay coefficient.

[0090] The specific method for calculating the first combustion effect coefficient can adopt an empirical formula: First combustion effect coefficient = K1×(1 - First heat conduction attenuation coefficient)^n1, where K1 and n1 are empirical parameters related to the type of old thermal insulation material. K1 represents the basic combustion effect of the material, usually determined according to the basic combustion characteristics such as the ignition point and calorific value of the material; n1 represents the influence degree of heat conduction attenuation on the combustion effect, usually determined according to experimental data or theoretical models. For example, for the old EPS foam thermal insulation board, if K1 = 2 and n1 = 0.5, then in the initial stage of combustion (the heat conduction attenuation coefficient is about 0.85), the first combustion effect coefficient is approximately 2×(1 - 0.85)^0.5 = 0.77; in the later stage of combustion (the heat conduction attenuation coefficient is about 0.21), the first combustion effect coefficient is approximately 2×(1 - 0.21)^0.5 = 1.77. This shows that as combustion progresses, the combustion effect of the material gradually increases, which is consistent with the phenomenon of accelerating temperature rise in the actual combustion process.

[0091] S414. Determine the second combustion effect coefficient of the new thermal insulation material within the preset time according to the second heat conduction attenuation coefficient. The second combustion effect coefficient is negatively correlated with the second heat conduction attenuation coefficient.

[0092] It is necessary to determine the second combustion effect coefficient of the new thermal insulation material within the preset time according to the second heat conduction attenuation coefficient. Similar to step S413, the second combustion effect coefficient is also negatively correlated with the second heat conduction attenuation coefficient. The calculation method can adopt a similar empirical formula: Second combustion effect coefficient = K2×(1 - Second heat conduction attenuation coefficient)^n2, where K2 and n2 are empirical parameters related to the type of new thermal insulation material. For the new thermal insulation material, due to its design and production pertinence, the values of K2 and n2 may be different from K1 and n1, and need to be determined according to the material characteristics and experimental data.

[0093] For example, for the new flame-retardant EPS thermal insulation board, if K2 = 1.5 and n2 = 0.6, then the second combustion effect coefficients at different time points within the preset time can be calculated according to the second heat conduction attenuation coefficient at the corresponding time points. Assume that at t = 10 minutes, the second heat conduction attenuation coefficient is 0.5, then the corresponding second combustion effect coefficient is 1.5×(1 - 0.5)^0.6 = 1.06. This calculation result shows that although the basic combustion effect of the new material (K2 = 1.5) is lower than that of the old material (K1 = 2), due to its more significant heat conduction attenuation, the actual combustion effect may be comparable to that of the old material. This reflects the design concept of the new flame-retardant material: by improving the heat conduction attenuation performance of the material, reducing its overall combustion risk.

[0094] S42. Combine the first combustion effect coefficient and the second combustion effect coefficient to correct the temperature values of the initial combustion curve within the preset time to obtain the corrected temperature values.

[0095] In actual operation, a linear combination method can be used for correction: corrected temperature value = initial temperature value × [1 + (first combustion effect coefficient × proportion of old material mass + second combustion effect coefficient × proportion of new material mass) × correction coefficient], where the correction coefficient is a time-related function used to characterize the variation characteristics of the combustion effect with time. A commonly used form of the correction coefficient function is: correction coefficient = t / tmax, where t is the current time point and tmax is the preset duration. This correction method takes into account the influence of time factors on the combustion effect, making the correction more reasonable and accurate.

[0096] For example, for the data point on the initial combustion curve at time point t = 10 minutes and temperature value T(10) = 400 °C, if the preset duration tmax = 30 minutes, the proportion of old material mass is 0.6, the proportion of new material mass is 0.4, the first combustion effect coefficient is 0.8, and the second combustion effect coefficient is 1.2, then the corrected temperature value T'(10) = 400 × [1 + (0.8 × 0.6 + 1.2 × 0.4) × (10 / 30)] = 400 × [1 + 0.96 × 0.33] = 400 × 1.32 = 528 °C. It can be seen that the corrected temperature value is significantly higher than the initial temperature value, which reflects the influence of material properties on the combustion process.

[0097] S43. Apply the corrected temperature value to the initial combustion curve to obtain the combustion curve to be adjusted.

[0098] In specific implementation, the temperature values can be corrected for a series of time points evenly distributed within the preset duration, and then a continuous combustion curve to be adjusted can be generated through interpolation or fitting methods. To ensure the smoothness and continuity of the curve, mathematical methods such as spline interpolation or polynomial fitting can be used to process the discrete corrected temperature values.

[0099] For example, if the preset duration is 30 minutes, 7 time points of t = 0, 5, 10, 15, 20, 25, 30 minutes can be selected for temperature value correction, and then a continuous combustion curve within the entire preset duration can be generated through the cubic spline interpolation method. This method can ensure that the generated combustion curve to be adjusted not only meets the constraints of the corrected temperature values but also has good smoothness and continuity, facilitating subsequent processing and analysis.

[0100] S44. According to the environmental parameters, correct the combustion curve to be adjusted to generate the target combustion curve of the composite material within the preset duration.

[0101] The specific calibration method first requires calculating the temperature correction coefficient according to the ambient temperature. The temperature correction coefficient is a parameter that characterizes the influence degree of the ambient temperature on the combustion process. It is related to the difference between the ambient temperature and the standard test temperature (usually 20°C). A simple calculation method is: Temperature correction coefficient = β × (ambient temperature - 20), where β is the temperature sensitivity coefficient related to the material type. For example, for a certain composite thermal insulation material, if β = 0.01 and the ambient temperature is 30°C, then the temperature correction coefficient is 0.01 × (30 - 20) = 0.1, indicating that for every 10°C increase in the ambient temperature, the combustion temperature of the material will increase by approximately 10%.

[0102] At the same time, it is necessary to calculate the humidity correction coefficient according to the ambient humidity. The humidity correction coefficient is a parameter that characterizes the influence degree of the ambient humidity on the combustion process. It is related to the difference between the ambient humidity and the standard test humidity (usually 50%). The calculation method is similar: Humidity correction coefficient = γ × (ambient humidity - 50), where γ is the humidity sensitivity coefficient related to the material type. For example, if γ = -0.005 and the ambient humidity is 70%, then the humidity correction coefficient is -0.005 × (70 - 50) = -0.1, indicating that for every 20% increase in the ambient humidity, the combustion temperature of the material will decrease by approximately 10%. This reflects the inhibitory effect of humidity on the combustion process.

[0103] The temperature correction coefficient and the humidity correction coefficient are weighted and summed to generate the ambient correction coefficient. During the weighting process, the respective weights can be determined according to the sensitivity of different materials to temperature and humidity. For example, for organic thermal insulation materials, the influence of temperature may be more significant, and the weight of the temperature correction coefficient may be larger; while for some inorganic thermal insulation materials, the influence of humidity may be more obvious, and the weight of the humidity correction coefficient may be larger. Assuming that the weight of the temperature correction coefficient is 0.7 and the weight of the humidity correction coefficient is 0.3, then the ambient correction coefficient is 0.1 × 0.7 + (-0.1) × 0.3 = 0.04, indicating that under the given ambient conditions, the combustion temperature of the material will increase by approximately 4%.

[0104] According to the ambient correction coefficient, the combustion curve to be adjusted is finally calibrated to generate the target combustion curve of the composite material within the preset time period. The calibration method is: The temperature value at each time point on the target combustion curve = The temperature value at the corresponding time point on the combustion curve to be adjusted × (1 + ambient correction coefficient). For example, for the data point on the combustion curve to be adjusted where the time point t = 15 minutes and the temperature value T(15) = 600°C, if the ambient correction coefficient is 0.04, then the temperature value T''(15) at the corresponding time point on the target combustion curve is 600 × (1 + 0.04) = 624°C.

[0105] Based on the above embodiments, as an alternative implementation, in S44, the environmental parameters include temperature and humidity. According to the environmental parameters, the combustion curve to be adjusted is corrected to generate the target combustion curve of the composite material within a preset time duration, which specifically includes S441 - S444: S441, calculate the temperature correction coefficient according to the temperature. The temperature correction coefficient is used to characterize the influence degree of the environmental temperature on the combustion process.

[0106] The influence of environmental temperature on the combustion performance of materials is mainly reflected in two aspects: on the one hand, the environmental temperature affects the initial temperature of the material, thereby affecting its ignition time and initial combustion rate; on the other hand, the environmental temperature affects the heat dissipation during the combustion process, thereby affecting the flame propagation speed and combustion intensity. Therefore, accurately calculating the temperature correction coefficient is crucial for simulating the combustion behavior in the actual environment.

[0107] The specific method for calculating the temperature correction coefficient is usually based on the difference between the environmental temperature and the standard test temperature, and considers the sensitivity of the material to temperature changes. A commonly used calculation formula is: temperature correction coefficient = β × (environmental temperature - standard test temperature), where β is the temperature sensitivity coefficient, which characterizes the sensitivity of the material's combustion performance to temperature changes. The standard test temperature is usually 20°C, which is the conventional environmental temperature for combustion tests. The temperature sensitivity coefficient β is closely related to the type, structure, and composition of the material, and needs to be determined through experiments or theoretical analysis.

[0108] For example, for organic thermal insulation materials (such as EPS, XPS, etc.), their combustion performance is more sensitive to temperature changes, and the β value may be between 0.01 - 0.02; while for inorganic thermal insulation materials (such as rock wool, glass wool, etc.), their combustion performance is less sensitive to temperature changes, and the β value may be between 0.005 - 0.01. In practical applications, the weighted average temperature sensitivity coefficient can be calculated according to the proportion of each component material in the composite material. For example, if the composite material consists of 60% of old EPS foam board (β = 0.015) and 40% of new inorganic fireproof board (β = 0.008), then the comprehensive temperature sensitivity coefficient is 0.015 × 0.6 + 0.008 × 0.4 = 0.012.

[0109] Assume the environmental temperature is 30°C, which is higher than the standard test temperature of 20°C, then the temperature correction coefficient is 0.012 × (30 - 20) = 0.12. This indicates that at this environmental temperature, the combustion temperature of the material will increase by about 12%. This result conforms to physical intuition: as the environmental temperature increases, the ignition time of the material shortens, the combustion rate increases, and the combustion temperature also increases accordingly.

[0110] S442, calculate the humidity correction coefficient according to the humidity. The humidity correction coefficient is used to characterize the influence degree of the environmental humidity on the combustion process.

[0111] The humidity correction coefficient is a parameter that characterizes the influence degree of environmental humidity on the combustion process. It reflects the impact of the deviation of environmental humidity from the standard test humidity on the combustion behavior of materials. The influence of environmental humidity on the combustion performance of materials is mainly reflected in three aspects: First, environmental humidity affects the moisture content of materials, and then affects their ignition points and calorific values; Second, environmental humidity affects the heat absorption of water evaporation during the combustion process, and then affects the combustion temperature; Finally, environmental humidity affects the oxygen concentration in the air, and then affects the completeness of combustion.

[0112] The method for calculating the humidity correction coefficient is similar to that for calculating the temperature correction coefficient. It is also based on the difference between the environmental humidity and the standard test humidity, and considers the sensitivity of materials to humidity changes. The calculation formula is: Humidity correction coefficient = γ × (Environmental humidity - Standard test humidity), where γ is the humidity sensitivity coefficient, which characterizes the sensitivity of the combustion performance of materials to humidity changes. The standard test humidity is usually 50%RH (relative humidity), which is the conventional environmental humidity for combustion tests.

[0113] Different from the temperature sensitivity coefficient, the humidity sensitivity coefficient γ is usually negative, which indicates that an increase in humidity usually inhibits the combustion process. For different types of thermal insulation materials, the humidity sensitivity coefficient is also different. For example, for porous organic thermal insulation materials (such as EPS, polyurethane foam, etc.), their hygroscopicity is relatively strong, and the humidity sensitivity coefficient γ may be between -0.005 and -0.01; while for hydrophobic materials (such as some modified polystyrene boards), the influence of humidity is relatively small, and the γ value may be between -0.002 and -0.005. Similarly, in composite materials, the weighted average humidity sensitivity coefficient can be calculated according to the proportion of each component material.

[0114] Assume that the environmental humidity is 70%RH, which is higher than the standard test humidity of 50%RH, and the humidity sensitivity coefficient γ of the composite material is -0.008. Then the humidity correction coefficient is -0.008 × (70 - 50) = -0.16. This indicates that at this environmental humidity, the combustion temperature of the material will decrease by about 16%. This result also conforms to physical intuition: as the environmental humidity increases, the moisture content of the material increases, and part of the heat is used for water evaporation, resulting in a decrease in the combustion temperature.

[0115] S443, perform a weighted summation of the temperature correction coefficient and the humidity correction coefficient to generate the environmental correction coefficient.

[0116] The calculation formula for weighted summation is: Environmental correction coefficient = W_t × Temperature correction coefficient + W_h × Humidity correction coefficient, where W_t and W_h are the weights of the temperature correction coefficient and the humidity correction coefficient respectively, and W_t + W_h = 1. The determination of the weights needs to consider the material type and the actual application scenario. For example, for thermal insulation materials used in a dry environment, the influence of temperature may be more significant. In this case, a larger temperature weight can be set, such as W_t = 0.7 and W_h = 0.3. For thermal insulation materials used in a humid environment, the influence of humidity may be more crucial. In this case, a larger humidity weight can be set, such as W_t = 0.4 and W_h = 0.6.

[0117] Suppose for a certain composite thermal insulation material, the weight of the temperature correction coefficient W_t = 0.6 and the weight of the humidity correction coefficient W_h = 0.4. Then the environmental correction coefficient = 0.6 × 0.12 + 0.4 × (-0.16) = 0.072 - 0.064 = 0.008. This result indicates that although the increase in environmental humidity has an inhibitory effect on combustion, due to the increase in environmental temperature promoting combustion, after comprehensive consideration, the combustion temperature of the material under this environmental condition will still increase slightly, about 0.8%.

[0118] S444, according to the environmental correction coefficient, correct the combustion curve to be adjusted to generate the target combustion curve of the composite material within the preset time period. Among them, when the environmental temperature is higher than the standard test temperature or the environmental humidity is lower than the standard test humidity, increase the temperature value of the combustion curve; when the environmental temperature is lower than the standard test temperature or the environmental humidity is higher than the standard test humidity, decrease the temperature value of the combustion curve.

[0119] The specific correction method is to apply the environmental correction coefficient to the temperature values at each time point on the combustion curve to be adjusted. The calculation formula is: The temperature value at time point t on the target combustion curve = The temperature value at time point t on the combustion curve to be adjusted × (1 + environmental correction coefficient). This correction method takes into account the overall influence of environmental factors on the combustion process, making the corrected combustion curve more accurately reflect the combustion behavior under actual environmental conditions.

[0120] For example, for the data point on the combustion curve to be adjusted where the time point t = 10 minutes and the temperature value T(10) = 500 °C, if the environmental correction coefficient is 0.008, then the temperature value T'(10) at the corresponding time point on the target combustion curve = 500 × (1 + 0.008) = 504 °C. This indicates that under the given environmental conditions, the temperature of the material after 10 minutes of combustion will be slightly higher than the temperature under the standard test conditions.

[0121] According to the target combustion curve, combustion performance indicators of the composite material within a preset time period are generated, including: determining the highest temperature value and the average temperature rise rate of the composite material within the preset time period according to the target combustion curve; calculating the combustion grade indicator of the composite material based on the highest temperature value, and the combustion grade indicator is used to characterize the maximum combustion intensity of the composite material; calculating the spread speed indicator of the composite material based on the average temperature rise rate, and the spread speed indicator is used to characterize the diffusion speed of the flame on the composite material; taking the maximum combustion intensity and the diffusion speed as the combustion performance indicators of the composite material.

[0122] In this embodiment, in order to comprehensively evaluate the combustion performance of the composite material, it is necessary to analyze from two dimensions of combustion intensity and flame spread. By processing the target combustion curve, two key parameters, namely the highest temperature value and the average temperature rise rate, can be extracted. Specifically, first, the temperature data sequence of the composite material within the entire preset time period (such as 30 minutes) is extracted from the target combustion curve. The highest temperature value is determined by traversing this sequence, and the average temperature rise rate is obtained by calculating the change rate of temperature over time.

[0123] After obtaining these basic data, this embodiment uses a specific calculation model to quantify the combustion performance. For the calculation of the combustion grade indicator, the highest temperature value is compared with a preset temperature threshold. For example, when the highest temperature value is lower than 300 °C, the combustion grade indicator can be set as grade A; when the highest temperature value is between 300 °C and 500 °C, it is set as grade B; when the highest temperature value is higher than 500 °C, it is set as grade C. This grading method can intuitively reflect the maximum combustion intensity that the composite material may reach during combustion, and helps to evaluate the safety of the material in extreme cases.

[0124] For the calculation of the spread speed indicator, it is mainly based on the average temperature rise rate. Specifically, a normalization processing method can be adopted to compare the actually measured average temperature rise rate with the temperature rise rate of the standard material to obtain a dimensionless indicator between 0 and 1. For example, when the average temperature rise rate is less than 10 °C / min, the spread speed indicator can be set as 0.3; when the average temperature rise rate is between 10 °C / min and 20 °C / min, it is set as 0.6; when the average temperature rise rate is greater than 20 °C / min, it is set as 0.9. This processing method can better characterize the diffusion trend of the flame on the surface of the composite material and provide a basis for evaluating the risk of fire spread.

[0125] Based on the above method, this application also discloses a prediction system for the combustion performance of thermal insulation materials, such as Figure 2 shown, Figure 2 is a schematic structural diagram of a prediction system for the combustion performance of thermal insulation materials provided by an embodiment of this application. The system includes: a first acquisition module, a second acquisition module, a combination module, and a generation module; wherein, A first acquisition module, configured to acquire environmental parameters of the environment where the composite material is located in a building and a first combustion curve of the composite material; the composite material is formed by combining old thermal insulation materials and new thermal insulation materials in a preset manner; the first combustion curve is a curve of the temperature of the composite material changing with time during the combustion process; a second acquisition module, configured to acquire first material properties and a second combustion curve of the old thermal insulation materials, and second material properties and a third combustion curve of the new thermal insulation materials; the second combustion curve is a curve of the temperature of the old thermal insulation materials changing with time during the combustion process, and the third combustion curve is a curve of the temperature of the new thermal insulation materials changing with time during the combustion process; a combining module, configured to combine the second combustion curve and the third combustion curve, adjust the first combustion curve, and generate an initial combustion curve; a generating module, configured to generate a target combustion curve of the composite material within a preset time period based on the initial combustion curve, combine the first material properties, the second material properties, and the environmental parameters, and generate a combustion performance index of the composite material within the preset time period according to the target combustion curve.

[0126] It should be noted that when the system provided in the above embodiment realizes its functions, only the division of the above function modules is used for illustration. In actual applications, the above functions can be allocated to different function modules according to needs, that is, the internal structure of the device is divided into different function modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be elaborated here.

[0127] Please refer to Figure 3 , which is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 3 shown, the electronic device 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0128] Among them, the communication bus 1002 is used to realize the connection and communication between these components.

[0129] Among them, the user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface.

[0130] Among them, the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0131] Among them, the processor 1001 may include one or more processing cores. The processor 1001 connects various parts within the entire server through various interfaces and lines. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and by calling the data stored in the memory 1005, it performs various functions of the server and processes data. Optionally, the processor 1001 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 1001 may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 1001 and may be implemented separately by a single chip.

[0132] Among them, the memory 1005 may include random access memory (RAM) and may also include read-only memory. Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 1005 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store the data involved in the above-mentioned method embodiments. Optionally, the memory 1005 may also be at least one storage device located far from the aforementioned processor 1001. As Figure 3 shown, the memory 1005, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for a method of predicting the combustion performance of a thermal insulation material.

[0133] In Figure 3In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an interface for the user to input and obtain the data input by the user; and the processor 1001 can be used to call an application program stored in the memory 1005 for a method for predicting the combustion performance of a thermal insulation material. When executed by one or more processors, the electronic device is caused to execute one or more of the methods as described in the above embodiments.

[0134] An electronic device-readable storage medium stores instructions. When executed by one or more processors, the electronic device is caused to execute one or more of the methods as described in the above embodiments.

[0135] It should be noted that, for the foregoing method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0136] In the above embodiments, the descriptions of the respective embodiments each have their own emphases. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0137] In several embodiments provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0138] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0139] In addition, in each embodiment of this application, the functional units can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0140] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned memory includes various media such as USB flash drives, external hard drives, magnetic disks, or optical discs that can store program codes.

[0141] The foregoing are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. After considering the specification and practicing the present disclosure herein, those skilled in the art will readily think of other embodiments of the present disclosure. This application aims to cover any variations, uses, or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for predicting the combustion performance of a thermal insulation material, characterized in that, The method includes: Obtaining the environmental parameters of the environment where the composite material is located in the building, and the first combustion curve of the composite material; the composite material is formed by combining old thermal insulation materials and new thermal insulation materials in a preset manner; the first combustion curve is the curve of the temperature of the composite material changing with time during combustion; Obtaining the first material properties and the second combustion curve of the old thermal insulation material, and the second material properties and the third combustion curve of the new thermal insulation material; the second combustion curve is the curve of the temperature of the old thermal insulation material changing with time during combustion, and the third combustion curve is the curve of the temperature of the new thermal insulation material changing with time during combustion; Combining the second combustion curve and the third combustion curve to adjust the first combustion curve to generate an initial combustion curve; On the basis of the initial combustion curve, combining the first material properties, the second material properties and the environmental parameters to generate the target combustion curve of the composite material within a preset time period, and generating the combustion performance index of the composite material within the preset time period according to the target combustion curve.

2. The method for predicting the combustion performance of the thermal insulation material according to claim 1, characterized in that The combining the second combustion curve and the third combustion curve to adjust the first combustion curve to generate an initial combustion curve includes: Obtaining the first temperature change rate of the second combustion curve and the second temperature change rate of the third combustion curve; Determining the proportional relationship between the first temperature change rate and the second temperature change rate according to the mass ratio of the old thermal insulation material and the new thermal insulation material in the composite material; Performing a synthesis calculation on the first temperature change rate and the second temperature change rate according to the proportional relationship to obtain the reference temperature change rate of the composite material; Performing slope correction on the first combustion curve through the reference temperature change rate to generate an initial combustion curve matching the composition ratio of the composite material.

3. The method for predicting the combustion performance of the thermal insulation material according to claim 2, wherein The performing slope correction on the first combustion curve through the reference temperature change rate to generate an initial combustion curve matching the composition ratio of the composite material includes: Obtaining the initial temperature change rate of the first combustion curve; Calculating the rate deviation value between the reference temperature change rate and the initial temperature change rate; Performing slope correction on the first combustion curve according to the rate deviation value to generate an initial combustion curve matching the composition ratio of the composite material; wherein, when the rate deviation value is positive, increasing the heating rate of the first combustion curve; when the rate deviation value is negative, decreasing the heating rate of the first combustion curve; the adjustment ratio of the slope is proportional to the absolute value of the rate deviation value.

4. The method for predicting the combustion performance of the thermal insulation material according to claim 1, wherein The generating the target combustion curve of the composite material within a preset time period on the basis of the initial combustion curve, combining the first material properties, the second material properties and the environmental parameters includes: Determining the first combustion effect coefficient of the old thermal insulation material within a preset time period according to the first material properties; determining the second combustion effect coefficient of the new thermal insulation material within a preset time period according to the second material properties; Combining the first combustion effect coefficient and the second combustion effect coefficient, correct the temperature values of the initial combustion curve within a preset time period to obtain corrected temperature values; Apply the corrected temperature values to the initial combustion curve to obtain a combustion curve to be adjusted; According to the environmental parameters, correct the combustion curve to be adjusted to generate a target combustion curve of the composite material within a preset time period.

5. The method for predicting the combustion performance of the thermal insulation material according to claim 4, characterized in that, The determining the first combustion effect coefficient of the old thermal insulation material within a preset time period according to the first material property; and determining the second combustion effect coefficient of the new thermal insulation material within a preset time period according to the second material property includes: According to the first material property, determine the first thermal conductivity attenuation coefficient of the old thermal insulation material within a preset time period, and the first thermal conductivity attenuation coefficient characterizes the change in the thermal conductivity of the old thermal insulation material during combustion; According to the second material property, determine the second thermal conductivity attenuation coefficient of the new thermal insulation material within a preset time period, and the second thermal conductivity attenuation coefficient characterizes the change in the thermal conductivity of the new thermal insulation material during combustion; According to the first thermal conductivity attenuation coefficient, determine the first combustion effect coefficient of the old thermal insulation material within a preset time period, and the first combustion effect coefficient is negatively correlated with the first thermal conductivity attenuation coefficient; According to the second thermal conductivity attenuation coefficient, determine the second combustion effect coefficient of the new thermal insulation material within a preset time period, and the second combustion effect coefficient is negatively correlated with the second thermal conductivity attenuation coefficient.

6. The method for predicting the combustion performance of the thermal insulation material according to claim 4, characterized in that The environmental parameters include temperature and humidity. The correcting the combustion curve to be adjusted according to the environmental parameters to generate a target combustion curve of the composite material within a preset time period includes: According to the temperature, calculate a temperature correction coefficient, and the temperature correction coefficient is used to characterize the influence degree of the environmental temperature on the combustion process; According to the humidity, calculate a humidity correction coefficient, and the humidity correction coefficient is used to characterize the influence degree of the environmental humidity on the combustion process; Perform a weighted sum of the temperature correction coefficient and the humidity correction coefficient to generate an environmental correction coefficient; According to the environmental correction coefficient, correct the combustion curve to be adjusted to generate a target combustion curve of the composite material within a preset time period. Wherein, when the environmental temperature is higher than the standard test temperature or the environmental humidity is lower than the standard test humidity, increase the temperature value of the combustion curve; when the environmental temperature is lower than the standard test temperature or the environmental humidity is higher than the standard test humidity, decrease the temperature value of the combustion curve.

7. The method for predicting the combustion performance of the thermal insulation material according to claim 1, characterized in that, The generating the combustion performance index of the composite material within the preset time period according to the target combustion curve includes: According to the target combustion curve, determine the highest temperature value and the average temperature rise rate of the composite material within a preset time period; According to the highest temperature value, calculate the combustion grade index of the composite material, and the combustion grade index is used to characterize the maximum combustion intensity of the composite material; According to the average temperature rise rate, calculate the spread speed index of the composite material, and the spread speed index is used to characterize the spread speed of the flame on the composite material; Take the maximum combustion intensity and the diffusion rate as the combustion performance indicators of the composite material.

8. A combustion performance prediction system for thermal insulation materials, characterized in that, The system includes: a first acquisition module, a second acquisition module, a combination module, and a generation module; wherein, The first acquisition module is configured to acquire the environmental parameters of the environment where the composite material is located in a building, and the first combustion curve of the composite material; the composite material is formed by combining old thermal insulation materials and new thermal insulation materials in a preset manner; the first combustion curve is a curve of the temperature of the composite material changing with time during the combustion process; The second acquisition module is configured to acquire the first material properties and the second combustion curve of the old thermal insulation material, and the second material properties and the third combustion curve of the new thermal insulation material; the second combustion curve is a curve of the temperature of the old thermal insulation material changing with time during the combustion process, and the third combustion curve is a curve of the temperature of the new thermal insulation material changing with time during the combustion process; The combination module is configured to combine the second combustion curve and the third combustion curve, adjust the first combustion curve, and generate an initial combustion curve; The generation module is configured to, based on the initial combustion curve, combine the first material properties, the second material properties, and the environmental parameters, generate a target combustion curve of the composite material within a preset time period, and generate the combustion performance indicators of the composite material within the preset time period according to the target combustion curve.

9. An electronic device, characterized in that, It includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions. The user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, A computer program is stored that can be loaded and executed by a processor to execute the method according to any one of claims 1-7.

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