A method, system, and storage medium for flame resistance testing of insulated wood

Abstract

The application discloses a kind of fire-retardant test method, system and storage medium of thermal insulation wood, belong to thermal insulation wood detection technical field.The method includes the following steps: according to test environment data comprehensive analysis obtains test environment evaluation value, and according to the fire-retardant performance evaluation threshold value of each test sample is matched to each test sample according to test environment evaluation value;According to test sample size data and test sample state data comprehensive analysis obtains each test sample qualified index, according to test environment evaluation value and test sample qualified index comprehensive analysis obtains test accuracy evaluation value, and according to each test accuracy evaluation value screening obtains each qualified sample;According to fire-retardant test data comprehensive analysis obtains the fire-retardant performance evaluation value of each qualified sample, compares the fire-retardant performance evaluation value of each qualified sample with corresponding fire-retardant performance evaluation threshold value, and according to the result of comparison, thermal insulation wood is evaluated and fed back.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal insulation wood detection, and in particular to a flame retardancy testing method, system and storage medium for thermal insulation wood. Background Art

[0002] The basic principle of flame retardancy testing is to simulate actual fire conditions and evaluate the flame retardancy of thermal insulation wood to assess its performance in fire. To ensure the accuracy and comparability of flame retardancy test results, multiple flame retardancy testing standards specify test methods, test conditions, sample preparation, and other requirements to ensure the accuracy and reliability of test results.

[0003] Existing flame retardant testing methods for insulating wood are mainly achieved through a variety of experimental means, including vertical burning test, horizontal burning test, oxygen index test, smoke density test, heat release rate test and flame spread rate test. These test methods together constitute an experimental system for comprehensively evaluating the flame retardant properties of insulating wood.

[0004] For example, the invention patent announcement with announcement number: CN107991167B discloses a method for testing the flame retardant properties of a titanium fire retardant coating, comprising: using a friction pair consisting of a coated rotor sample with a top angle at one end and a coated stator sample with a circular hole in the center as an ignition source, taking the friction ignition time as a control parameter, fixing other parameters such as the premixed air flow temperature, pressure and oxygen concentration at a certain value, controlling the air flow reversing valve through a computer software program, increasing or decreasing the friction ignition time, until a plurality of ignition and non-ignition test points are obtained, filling these test points into a prefabricated table, and when the difference in friction ignition time corresponding to ignition and non-ignition of the stator sample is less than or equal to 0.1s, the friction ignition time corresponding to non-ignition of the stator sample is defined as the critical friction ignition time, and repeating the test 10 times. If all stator samples do not ignite, then the critical friction ignition time quantitatively describes the boundary between ignition and non-ignition of the sample, that is, quantitatively characterizes the flame retardant properties of the tested titanium fire retardant coating.

[0005] For example, the invention patent announcement with announcement number: CN106153476B discloses a method for testing the rolling shear modulus and strength of wood, which includes: using standard materials along the longitudinal grain of the wood as the two outer layers of the specimen, and standard materials along the transverse grain of the wood as the core layer, and bonding them with an adhesive to form a sandwich specimen; cutting two stacked right-angle wedges from the two outer layers of the sandwich specimen, and placing steel plates on the end faces of the right-angle wedges; applying pressure to the surface of the steel plate at a uniform speed until the specimen is destroyed, wherein the direction of the pressure is perpendicular to the direction of the steel plate, and recording the loading time, load, relative displacement of the outer layers, and displacement of the loading head. The rolling shear modulus and strength of the wood can be obtained by calculation.

[0006] But in the process of implementing the technical scheme of the embodiment of the application, the applicant finds that the above-mentioned technology at least has the following technical problems:

[0007] In the prior art, when the heat-insulating wood is subjected to the flame-retardant test, the test results differ due to the different sample qualities, and the problem of low accuracy of the test results occurs. SUMMARY

[0008] The application provides a flame-retardant test method, system and storage medium for heat-insulating wood, solves the problem of low accuracy of the test results due to the different sample qualities when the heat-insulating wood is subjected to the flame-retardant test in the prior art, and realizes the closeness of the test environment to the actual environment.

[0009] The application provides a flame-retardant test method for heat-insulating wood, comprising the following steps: obtaining heat-insulating wood samples, marking each test sample and performing flame-retardant test, collecting test environment data, test sample size data, test sample state data and flame-retardant test data; obtaining test environment evaluation values of each test sample according to comprehensive analysis of the test environment data, and matching flame-retardant performance evaluation threshold values of each test sample according to the test environment evaluation values of each test sample; obtaining qualified indexes of each test sample according to comprehensive analysis of the test sample size data and the test sample state data, obtaining test accuracy evaluation values of each test sample according to comprehensive analysis of the test environment evaluation values of each test sample and the qualified indexes of each test sample, and screening each qualified sample according to the test accuracy evaluation values of each test sample; obtaining flame-retardant performance evaluation values of each qualified sample according to comprehensive analysis of the flame-retardant test data, comparing the flame-retardant performance evaluation values of each qualified sample with the corresponding flame-retardant performance evaluation threshold values, and feeding back the evaluation of the heat-insulating wood according to the comparison result.

[0010] Further, the step of obtaining the test environment evaluation values of each test sample according to comprehensive analysis of the test environment data comprises: the test environment data comprises oxygen content, temperature, humidity and air pressure value; obtaining critical oxygen content, critical temperature, critical humidity and critical air pressure value from a flame-retardant test database; and obtaining the test environment evaluation values of each test sample through comprehensive analysis.

[0011] Further, the step of obtaining the qualified indexes of each test sample according to comprehensive analysis of the test sample size data and the test sample state data comprises: the test sample size data comprises wood volume and wood thickness; the test sample state data comprises water content and wood weight; obtaining reference wood volume, allowable deviation wood volume, reference wood thickness, allowable deviation wood thickness, reference water content, allowable deviation water content, reference wood weight and allowable deviation wood weight from the flame-retardant test database; and obtaining the qualified indexes of each test sample through comprehensive analysis.

[0012] Further, the step of obtaining the test accuracy evaluation value of each test sample according to the test environment evaluation value of each test sample and the comprehensive analysis of each test sample qualified index comprises: obtaining the standard test environment evaluation value, the allowable deviation test environment evaluation value and the critical each test sample qualified index of each test sample from the flame retardant test database; and comprehensively analyzing to obtain the test accuracy evaluation value of each test sample.

[0013] Further, the step of screening each qualified sample according to the test accuracy evaluation value of each test sample comprises: obtaining the test accuracy evaluation threshold value from the flame retardant test database; comparing the test accuracy evaluation value of each test sample with the test accuracy evaluation threshold value, if the test accuracy evaluation value of a certain test sample is less than the test accuracy evaluation threshold value, marking the test sample as an unqualified sample, if the test accuracy evaluation value of a certain test sample is greater than or equal to the test accuracy evaluation threshold value, marking the test sample as a qualified sample, and statistically obtaining each qualified sample.

[0014] Further, the step of obtaining the flame retardant performance evaluation value of each qualified sample according to the comprehensive analysis of the flame retardant test data comprises: the flame retardant test data comprises the burning growth rate, the smoke generation rate and the limiting oxygen index; obtaining the critical burning growth rate, the critical smoke generation rate and the critical limiting oxygen index from the flame retardant test database; and comprehensively analyzing to obtain the flame retardant performance evaluation value of each qualified sample.

[0015] Further, the flame retardant performance evaluation value of each qualified sample is obtained as follows:

[0016]

[0017] In the formula, ξF j represents the flame retardant performance evaluation value of the jth qualified sample, α1 represents the flame retardant performance evaluation influence factor corresponding to the burning growth rate, α2 represents the flame retardant performance evaluation influence factor corresponding to the smoke generation rate, α3 represents the flame retardant performance evaluation influence factor corresponding to the limiting oxygen index, G 1j represents the burning growth rate of the jth qualified sample, G0 represents the critical burning growth rate, S 1j represents the smoke generation rate of the jth qualified sample, S0 represents the critical smoke generation rate, E 1j represents the limiting oxygen index of the jth qualified sample, E0 represents the critical limiting oxygen index, e is a natural constant, wherein j is the number of each qualified sample, j = 1, 2, 3, …, M, and M is the total number of qualified samples.

[0018] Furthermore, the flame retardant performance evaluation value of each qualified sample is compared with the corresponding flame retardant performance evaluation threshold, and the step of providing evaluation feedback on the insulating wood according to the comparison result includes: comparing the flame retardant performance evaluation value of each qualified sample with the flame retardant performance evaluation threshold corresponding to each qualified sample; if the flame retardant performance evaluation value of a qualified sample is greater than or equal to the flame retardant performance evaluation threshold corresponding to the qualified sample, then marking the qualified sample as a sample with good flame retardant performance; if the flame retardant performance evaluation value of a qualified sample is less than the flame retardant performance evaluation threshold corresponding to the qualified sample, then marking the qualified sample as a sample with average flame retardant performance.

[0019] The embodiment of the present application provides a flame retardant testing system for thermal insulation wood, which includes a data acquisition module, an environmental assessment module, a sample screening module, a flame retardant assessment module, and a flame retardant test database; wherein the data acquisition module is used to obtain thermal insulation wood samples, mark them as test samples, and perform flame retardant tests, and collect test environment data, test sample size data, test sample status data, and flame retardant test data; the environmental assessment module is used to obtain a test environment assessment value for each test sample based on a comprehensive analysis of the test environment data, and to obtain a flame retardant performance assessment threshold for each test sample based on the test environment assessment value of each test sample. The sample screening module is used to obtain the qualified index of each test sample based on the comprehensive analysis of the test sample size data and the test sample status data, obtain the test accuracy evaluation value of each test sample based on the comprehensive analysis of the test environment evaluation value of each test sample and the qualified index of each test sample, and screen out each qualified sample based on the test accuracy evaluation value of each test sample; the flame retardant evaluation module is used to obtain the flame retardant performance evaluation value of each qualified sample based on the comprehensive analysis of the flame retardant test data, compare the flame retardant performance evaluation value of each qualified sample with the corresponding flame retardant performance evaluation threshold, and provide evaluation feedback on the insulating wood based on the comparison result.

[0020] An embodiment of the present application provides a flame retardancy test storage medium for thermal insulation wood, which is used to store a program. When the program is executed by a processor, a flame retardancy test method for thermal insulation wood is implemented.

[0021] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0022] 1. The present invention provides a flame retardant testing method, system and storage medium for insulating wood, thereby comprehensively evaluating the test environment, qualification index, flame retardant performance and test accuracy of each test sample, thereby achieving accurate evaluation and feedback of the flame retardant performance of insulating wood.

[0023] 2. The present invention matches the test environment evaluation value of each test sample, thereby taking into account the impact of different test environments on the flame retardant performance evaluation, and thus achieving a more accurate and reasonable flame retardant performance evaluation threshold for each test sample.

[0024] 3. The present invention screens the test samples based on their test accuracy assessment values, thereby ensuring that only samples with accurate testing processes and reliable results are included in the qualified category, thereby achieving strict control over the quality of the insulating wood samples and improving the accuracy and credibility of subsequent flame retardant performance evaluations. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of a flame retardancy testing method for thermal insulation wood provided in an embodiment of the present application.

[0026] Figure 2 This is a graph showing the changes in flame retardant performance evaluation values ​​based on the flame retardant testing method for thermal insulation wood provided in an embodiment of the present application.

[0027] Figure 3 This is a schematic structural diagram of a flame retardancy testing system for thermal insulation wood provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiments of the present application provide a flame retardant testing method, system, and storage medium for insulating wood, thereby solving the problem in the prior art that, when conducting flame retardant testing on insulating wood, there are differences in test results and low test result accuracy due to different sample qualities. The method obtains a test environment evaluation value of each test sample based on a comprehensive analysis of test environment data, and obtains a flame retardant performance evaluation threshold of each test sample based on the test environment evaluation value of each test sample; obtains a qualified index of each test sample based on a comprehensive analysis of test sample size data and test sample status data; obtains a test accuracy evaluation value of each test sample based on a comprehensive analysis of the test environment evaluation value of each test sample and the qualified index of each test sample; and screens qualified samples based on the test accuracy evaluation value of each test sample; obtains a flame retardant performance evaluation value of each qualified sample based on a comprehensive analysis of the flame retardant test data, compares the flame retardant performance evaluation value of each qualified sample with the corresponding flame retardant performance evaluation threshold, and provides evaluation feedback on the insulating wood based on the comparison result, thereby achieving closeness between the test environment and the actual environment.

[0029] The technical solution in the embodiments of the present application is to solve the problem that when the above-mentioned thermal insulation wood is subjected to flame retardancy testing, the test results vary due to different sample qualities, resulting in low test result accuracy. The overall idea is as follows:

[0030] By obtaining insulating wood samples, marking them as test samples and conducting flame retardant tests, test environment data, test sample size data, test sample status data and flame retardant test data are collected; the test environment evaluation value of each test sample is obtained based on a comprehensive analysis of the test environment data, and the flame retardant performance evaluation threshold of each test sample is obtained based on the test environment evaluation value of each test sample; the qualified index of each test sample is obtained based on a comprehensive analysis of the test sample size data and the test sample status data, the test accuracy evaluation value of each test sample is obtained based on a comprehensive analysis of the test environment evaluation value of each test sample and the qualified index of each test sample, and qualified samples are screened based on the test accuracy evaluation value of each test sample; the flame retardant performance evaluation value of each qualified sample is obtained based on a comprehensive analysis of the flame retardant test data, the flame retardant performance evaluation value of each qualified sample is compared with the corresponding flame retardant performance evaluation threshold, and the insulating wood is evaluated and fed back according to the comparison results, thereby achieving the purpose of systematic and scientific flame retardant performance testing and evaluation of insulating wood samples, and providing strong technical support for the research and development, production and application of insulating wood.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0032] like Figure 1 As shown, a flow chart of a flame retardant testing method for thermal insulation wood provided in an embodiment of the present application is provided. The method includes the following steps: obtaining thermal insulation wood samples, marking them as test samples and performing flame retardant tests, collecting test environment data, test sample size data, test sample status data and flame retardant test data; obtaining a test environment evaluation value of each test sample based on a comprehensive analysis of the test environment data, and obtaining a flame retardant performance evaluation threshold of each test sample based on the test environment evaluation value of each test sample; obtaining a qualified index of each test sample based on a comprehensive analysis of the test sample size data and the test sample status data, obtaining a test accuracy evaluation value of each test sample based on a comprehensive analysis of the test environment evaluation value of each test sample and the qualified index of each test sample, and screening each qualified sample based on the test accuracy evaluation value of each test sample; obtaining a flame retardant performance evaluation value of each qualified sample based on a comprehensive analysis of the flame retardant test data, comparing the flame retardant performance evaluation value of each qualified sample with the corresponding flame retardant performance evaluation threshold, and providing evaluation feedback on the thermal insulation wood based on the comparison result.

[0033] In the embodiment, when the flame-retardant performance evaluation threshold of each test sample is matched according to the test environment evaluation value of each test sample, since the test environment evaluation value and the flame-retardant performance evaluation threshold corresponding to each test environment evaluation value interval preset in the flame-retardant test database form a mapping set, the flame-retardant performance evaluation threshold corresponding to the test environment evaluation value of each test sample can be obtained by inputting the test environment evaluation value of each test sample into the mapping set. The flame-retardant performance of wood can be more accurately evaluated by comprehensively considering the test environment, the test sample, and the flame-retardant test and other factors, the error caused by improper test conditions or data deviation is reduced, and the test efficiency and consistency are improved.

[0034] In addition, the flame-retardant test database stores the related data based on the flame-retardant test method of the heat-insulating wood, including the reference temperature, the allowable deviation temperature, the reference humidity, the allowable deviation humidity, the critical air pressure value, the test environment evaluation influence factor corresponding to the temperature, the flame-retardant performance evaluation adjustment value corresponding to each deviation test accuracy evaluation value interval, and the flame-retardant performance evaluation threshold, etc. The data in the flame-retardant test database can be directly queried from the test database established by the fire product quality supervision and inspection center, the building material quality supervision and inspection center, and other detection institutions, or can be obtained by consulting relevant websites, forums, or relevant literature.

[0035] Further, the step of obtaining the test environment evaluation value of each test sample according to the test environment data includes: the test environment data includes oxygen content, temperature, humidity, and air pressure value; the critical oxygen content, the critical temperature, the critical humidity, and the critical air pressure value are obtained from the flame-retardant test database; and the test environment evaluation value of each test sample is obtained by comprehensive analysis.

[0036] The test environment evaluation value of each test sample is obtained in the following manner:

[0037]

[0038] In the formula, ξE 1i represents the test environment evaluation value of the i th test sample, β 5 represents the test environment evaluation influence factor corresponding to the oxygen content, β 6 represents the test environment evaluation influence factor corresponding to the temperature, β 7 represents the test environment evaluation influence factor corresponding to the humidity, β 8 represents the test environment evaluation influence factor corresponding to the air pressure value, O 1i represents the oxygen content of the i th test sample, O 0 represents the critical oxygen content, T 1i represents the temperature of the i th test sample, T 0 represents the critical temperature, H 1i represents the humidity of the i th test sample, H 0 represents the critical humidity, and P 1irepresents the air pressure value of the i-th test sample, P0 represents the critical air pressure value, where i is the number of each test sample, i=1, 2, 3, ..., N, and N is the total number of test samples.

[0039] β5, β6, β7 and β8 are the test environment assessment influencing factors corresponding to the oxygen content, temperature, humidity and air pressure values ​​preset in the flame retardant test database. These influencing factors are numerical indicators that measure the impact of the above environmental factors on the test environment assessment values. Specifically, the system constructs a mapping relationship table for each of the oxygen content, temperature, humidity and air pressure values. The table records each possible environmental factor value and its corresponding test environment assessment influencing factor. These mapping relationships can be one-to-one or many-to-one. In actual applications, when a test environment needs to be evaluated, the measured oxygen content, temperature, humidity and air pressure values ​​can be entered into their respective corresponding mapping relationship tables, and the test environment assessment influencing factors corresponding to these values ​​can be quickly found. The value range of the influencing factor is between 0 and 1.

[0040] In this embodiment, the temperature, humidity, and air pressure values ​​can be measured by placing instruments such as temperature sensors, humidity sensors, and air pressure sensors at the center of the test area, respectively. Oxygen content can be directly measured using a paramagnetic oxygen analyzer or other instrument. These four parameters interact with each other. As temperature rises, the evaporation rate of water accelerates, resulting in a decrease in humidity. Simultaneously, the thermal motion of gas molecules intensifies, causing the gas volume to expand, which in turn increases the air pressure value. The test environment assessment value obtained through comprehensive analysis can comprehensively assess the overall condition of the test environment, including its stability, suitability, and potential impact on test results. By analyzing the differences in the flame retardant properties of insulating wood under different environmental conditions, the test conditions can be optimized and the accuracy and reliability of the test can be improved.

[0041] Furthermore, the step of obtaining the qualification index of each test sample by comprehensive analysis based on the test sample size data and the test sample status data includes: the test sample size data includes wood volume and wood thickness; the test sample status data includes moisture content and wood weight; obtaining the reference wood volume, allowable deviation wood volume, reference wood thickness, allowable deviation wood thickness, reference moisture content, allowable deviation moisture content, reference wood weight and allowable deviation wood weight from the flame retardant test database; and obtaining the qualification index of each test sample by comprehensive analysis.

[0042] The method for obtaining the qualified index of each test sample is as follows:

[0043]

[0044] Where, ξP 1irepresents the qualified index of the i-th test sample, β1 represents the qualified index influencing factor of the test sample corresponding to the wood volume, β2 represents the qualified index influencing factor of the test sample corresponding to the wood thickness, β3 represents the qualified index influencing factor of the test sample corresponding to the moisture content, β4 represents the qualified index influencing factor of the test sample corresponding to the wood weight, R 1i represents the wood volume of the i-th test sample, R0 represents the reference wood volume, R2 represents the allowable deviation wood volume, L 1i represents the wood thickness of the i-th test sample, L0 represents the reference wood thickness, L2 represents the allowable deviation wood thickness, W 1i represents the moisture content of the i-th test sample, W0 represents the reference moisture content, W2 represents the allowable deviation moisture content, A 1i represents the wood weight of the i-th test sample, A0 represents the reference wood weight, and A2 represents the allowable deviation wood weight.

[0045] β1, β2, β3 and β4 are the test sample qualification index influencing factors corresponding to the wood volume, wood thickness, moisture content and wood weight preset in the flame retardant test database. These influencing factors are numerical indicators that measure the influence of the above sample factors on the test sample qualification index. Specifically, the system constructs a mapping relationship table for wood volume, wood thickness, moisture content and wood weight respectively. The table records each possible sample factor value and its corresponding test sample qualification index influencing factor. These mapping relationships can be one-to-one or many-to-one. In actual applications, when it is necessary to evaluate the qualification index of a test sample, the measured wood volume, wood thickness, moisture content and wood weight can be entered into their respective corresponding mapping relationship tables, and the test sample qualification index influencing factors corresponding to these values ​​can be quickly found. The value range of the influencing factor is between 0 and 1.

[0046] In this embodiment, the volume of the wood can be obtained by directly measuring the length, width, and height of the wood using a three-dimensional measuring tool (such as a laser rangefinder), and then calculating the product of the length, width, and height of the wood; the thickness of the wood can be directly measured using measuring tools such as a vernier caliper and a micrometer; the moisture content can be measured using a wood moisture meter; and the weight of the wood can be directly measured using weighing tools such as an electronic scale and a platform scale. Under the condition of a certain density of wood, the larger the volume, the greater the weight; the greater the moisture content, the easier it is to deform and crack the wood, while the lower the moisture content, the more brittle and easy to break the wood; generally speaking, the thicker the wood, the greater its strength in bending and compression. The test sample qualification index obtained through comprehensive analysis can reflect whether the comprehensive performance of the wood under specific conditions meets the requirements, more accurately evaluate the performance and quality of the wood, and provide strong technical support for the procurement, processing, and use of wood.

[0047] Furthermore, the step of obtaining the test accuracy evaluation value of each test sample by comprehensive analysis based on the test environment evaluation value of each test sample and the qualification index of each test sample includes: obtaining the standard test environment evaluation value, allowable deviation test environment evaluation value and critical qualification index of each test sample from the flame retardant test database; and obtaining the test accuracy evaluation value of each test sample by comprehensive analysis.

[0048] The test accuracy evaluation value of each test sample is obtained as follows:

[0049]

[0050] Where, ξA i represents the test accuracy evaluation value of the i-th test sample, α4 represents the test accuracy evaluation impact factor corresponding to the test environment evaluation value, α5 represents the test accuracy evaluation impact factor corresponding to the test sample qualification index, ξE 1i represents the test environment evaluation value of the i-th test sample, ξE0 represents the standard test environment evaluation value, ξE2 represents the allowable deviation test environment evaluation value, ξP 1i represents the test sample qualification index of the i-th test sample, and ξP0 represents the critical test sample qualification index.

[0051] α4 and α5 are the test accuracy assessment influencing factors corresponding to the test environment assessment value and the test sample qualification index preset in the flame retardant test database, respectively. These influencing factors are numerical indicators that measure the influence of the above-mentioned influencing factors on the test accuracy assessment value. Specifically, the system constructs a mapping relationship table for the test environment assessment value and the test sample qualification index respectively. The table records each possible influencing factor value and its corresponding test accuracy assessment influencing factor. These mapping relationships can be one-to-one or many-to-one. In actual applications, when it is necessary to evaluate the accuracy of a certain test, the measured test environment assessment value and the test sample qualification index can be entered into their respective corresponding mapping relationship tables, and the test accuracy assessment influencing factors corresponding to these values ​​can be quickly found, where the value range of the influencing factor is between 0 and 1.

[0052] In this embodiment, the test environment assessment value and the test sample qualification index interact with each other. The test environment assessment value directly affects the wood's performance during the test. Specifically, the greater the absolute difference between the test environment assessment value and the standard test environment assessment value, the lower the test sample qualification index is likely to be. Comprehensively analyzing the test accuracy assessment value can more accurately assess key indicators such as the wood's flame retardant properties. This helps reduce errors and deviations caused by unstable or unsuitable testing environments.

[0053] Furthermore, based on the test accuracy evaluation value of each test sample, the step of screening and obtaining each qualified sample includes: obtaining a test accuracy evaluation threshold from a flame retardant test database; comparing the test accuracy evaluation value of each test sample with the test accuracy evaluation threshold; if the test accuracy evaluation value of a test sample is less than the test accuracy evaluation threshold, then the test sample is marked as an unqualified sample; if the test accuracy evaluation value of a test sample is greater than or equal to the test accuracy evaluation threshold, then the test sample is marked as a qualified sample, and the qualified samples are obtained by statistics.

[0054] In this embodiment, the test accuracy assessment threshold is a preset standard value or limit used to determine whether the test accuracy of a test sample meets the qualified requirements. By setting a unified assessment threshold, the standardization and consistency of the screening process can be ensured, avoiding deviations caused by human factors. Using the assessment threshold for rapid comparison can quickly screen out qualified and unqualified samples, improving screening efficiency while ensuring product quality and safety.

[0055] Furthermore, the step of obtaining the flame retardant performance evaluation value of each qualified sample based on a comprehensive analysis of the flame retardant test data includes: the flame retardant test data includes a combustion growth rate, a smoke generation rate and a limiting oxygen index; obtaining the critical combustion growth rate, the critical smoke generation rate and the critical limiting oxygen index from the flame retardant test database; and comprehensively analyzing to obtain the flame retardant performance evaluation value of each qualified sample.

[0056] In this example, the combustion growth rate is a measure of the rate of fire spread during the combustion of insulating wood and can be directly measured using specialized instruments such as a combustion tester. The smoke generation rate indicates the rate at which the insulating wood produces smoke during combustion and can be directly measured using a smoke flow rate meter. The limiting oxygen index refers to the minimum oxygen concentration required for combustion in a nitrogen and oxygen mixture and measures the combustion performance of the insulating wood. It can be directly measured using a limiting oxygen index tester. Generally, a higher combustion growth rate results in a faster fire spread, which in turn increases the smoke generation rate. A higher limiting oxygen index indicates lower flammability and a lower combustion growth rate. Insulating wood with a higher limiting oxygen index is more difficult to burn, resulting in a lower smoke generation rate due to a slower and more complete combustion process. The flame retardant performance evaluation value obtained through comprehensive analysis reflects the overall flame retardant performance level of the insulating wood. By comparing the flame retardant performance evaluation values ​​of different insulating woods, their advantages and disadvantages and applicability can be assessed. Combining the flame retardant performance evaluation values ​​of the insulating wood with actual application scenarios can also be used to evaluate the safety of the product.

[0057] Furthermore, the flame retardant performance evaluation value of each qualified sample is obtained as follows:

[0058]

[0059] Where, ξF j represents the flame retardant performance evaluation value of the jth qualified sample, α1 represents the flame retardant performance evaluation impact factor corresponding to the combustion growth rate, α2 represents the flame retardant performance evaluation impact factor corresponding to the smoke generation rate, α3 represents the flame retardant performance evaluation impact factor corresponding to the limiting oxygen index, G 1j represents the combustion growth rate of the jth qualified sample, G0 represents the critical combustion growth rate, S 1j represents the smoke generation rate of the jth qualified sample, S0 represents the critical smoke generation rate, E 1j represents the limiting oxygen index of the jth qualified sample, E0 represents the critical limiting oxygen index, e is a natural constant, where j is the number of each qualified sample, j = 1, 2, 3, ..., M, and M is the total number of qualified samples.

[0060] In this embodiment, α1, α2, and α3 are the flame retardant performance evaluation influencing factors corresponding to the combustion growth rate, smoke generation rate, and limiting oxygen index preset in the flame retardant test database, respectively. These influencing factors are numerical indicators that measure the impact of the above-mentioned performance factors on the flame retardant performance evaluation value. Specifically, the system constructs a mapping relationship table for each of the combustion growth rate, smoke generation rate, and limiting oxygen index. The table records each possible performance factor value and its corresponding flame retardant performance evaluation influencing factor. These mapping relationships can be one-to-one or many-to-one. In actual applications, when it is necessary to evaluate the flame retardant performance of a certain insulating wood, the measured combustion growth rate, smoke generation rate, and limiting oxygen index can be input into their respective corresponding mapping relationship tables, and the flame retardant performance evaluation influencing factors corresponding to these values ​​can be quickly found, where the value range of the influencing factor is between 0 and 1.

[0061] The flame retardant performance evaluation impact factor corresponding to the combustion growth rate was set to 0.3, the flame retardant performance evaluation impact factor corresponding to the smoke generation rate was set to 0.3, the flame retardant performance evaluation impact factor corresponding to the limiting oxygen index was set to 0.4, the combustion growth rate was set to 1.3, the critical combustion growth rate was set to 1.5, the smoke generation rate was set to 1.3 g / s, the critical smoke generation rate was set to 1.2 g / s, and the critical limiting oxygen index was set to 1.2. The flame retardant performance evaluation value was calculated under the condition of increasing the limiting oxygen index. Table 1 shows the flame retardant performance evaluation value data table based on the flame retardant test method for thermal insulation wood.

[0062] Table 1 Flame retardant performance evaluation value data table based on the flame retardant test system of thermal insulation wood

[0063] serial number <![CDATA[E 1j %]]> <![CDATA[ξF j ]]> 1 1.1 0.726 2 1.15 0.734 3 1.2 0.743 4 1.25 0.751 5 1.3 0.759

[0064] like Figure 2Fig. 4 shows a diagram of the change of the fire-retardant performance evaluation value of the fire-retardant test method based on the heat-insulating wood provided by the embodiment of the present application. As shown in Table 1 and Figure 2 It can be seen that, when the fire-retardant performance evaluation influence factor corresponding to the fire growth rate, the fire-retardant performance evaluation influence factor corresponding to the smoke production rate, the fire-retardant performance evaluation influence factor corresponding to the limiting oxygen index, the fire growth rate, the critical fire growth rate, the smoke production rate, the critical smoke production rate and the critical limiting oxygen index remain unchanged, and the limiting oxygen index increases continuously, the fire-retardant performance evaluation value also increases continuously.

[0065] Further, the fire-retardant performance evaluation value of each qualified sample is compared with the corresponding fire-retardant performance evaluation threshold, and the step of evaluating and feeding back the heat-insulating wood according to the comparison result includes: comparing the fire-retardant performance evaluation value of each qualified sample with the fire-retardant performance evaluation threshold corresponding to each qualified sample, if the fire-retardant performance evaluation value of a certain qualified sample is greater than or equal to the fire-retardant performance evaluation threshold corresponding to the qualified sample, the qualified sample is marked as a good fire-retardant performance sample, and if the fire-retardant performance evaluation value of a certain qualified sample is less than the fire-retardant performance evaluation threshold corresponding to the qualified sample, the qualified sample is marked as a general fire-retardant performance sample.

[0066] In the embodiment, the marking result of each sample is recorded in the fire-retardant test database for subsequent query and tracking, so as to facilitate making further decisions according to different grades of fire-retardant performance. Grading and evaluating the fire-retardant performance helps enterprises to reasonably allocate resources according to actual needs, such as preferentially selecting samples with good fire-retardant performance for subsequent research and development or production; by comparing the evaluation value and the evaluation threshold, the enterprise can timely find samples with insufficient fire-retardant performance and take measures to improve them, thereby improving the overall product quality.

[0067] As Figure 3, which is a structural diagram of a flame retardant testing system for thermal insulation wood provided by an embodiment of the present application, and the flame retardant testing system for thermal insulation wood provided by an embodiment of the present application comprises: a data acquisition module, an environmental assessment module, a sample screening module, a flame retardant assessment module and a flame retardant test database; wherein the data acquisition module is used to acquire thermal insulation wood samples, mark them as test samples and perform flame retardant tests, collect test environment data, test sample size data, test sample status data and flame retardant test data; the environmental assessment module is used to obtain a test environment assessment value of each test sample based on a comprehensive analysis of the test environment data, and match the test environment assessment value of each test sample according to the test environment assessment value. The flame retardant performance evaluation threshold of each test sample is obtained; the sample screening module is used to obtain the qualified index of each test sample according to the comprehensive analysis of the test sample size data and the test sample status data, obtain the test accuracy evaluation value of each test sample according to the comprehensive analysis of the test environment evaluation value of each test sample and the qualified index of each test sample, and screen out each qualified sample according to the test accuracy evaluation value of each test sample; the flame retardant evaluation module is used to obtain the flame retardant performance evaluation value of each qualified sample according to the comprehensive analysis of the flame retardant test data, compare the flame retardant performance evaluation value of each qualified sample with the corresponding flame retardant performance evaluation threshold, and provide evaluation feedback on the thermal insulation wood according to the comparison result.

[0068] Among them, the embodiment of the present application also provides a flame retardant test storage medium for thermal insulation wood, which is used to store a program. When the program is executed by a processor, a flame retardant test method for thermal insulation wood is implemented.

[0069] In summary, the embodiment of the present application obtains insulating wood samples, marks them as test samples and performs flame retardant tests, collects test environment data, test sample size data, test sample status data and flame retardant test data; obtains a test environment evaluation value of each test sample based on a comprehensive analysis of the test environment data, and obtains a flame retardant performance evaluation threshold of each test sample based on the test environment evaluation value of each test sample; obtains a qualified index of each test sample based on a comprehensive analysis of the test sample size data and the test sample status data, obtains a test accuracy evaluation value of each test sample based on a comprehensive analysis of the test environment evaluation value of each test sample and the qualified index of each test sample, and screens qualified samples based on the test accuracy evaluation value of each test sample; obtains a flame retardant performance evaluation value of each qualified sample based on a comprehensive analysis of the flame retardant test data, compares the flame retardant performance evaluation value of each qualified sample with the corresponding flame retardant performance evaluation threshold, and evaluates and feeds back the insulating wood based on the comparison results, thereby achieving the closeness between the test environment and the actual environment.

[0070] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0071] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0072] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0073] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0074] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0075] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A flame retardant testing method for thermal insulation wood, characterized in that: The following steps are involved: Obtaining thermal insulation wood samples, marking them as test samples and performing flame retardancy tests, and collecting test environment data, test sample size data, test sample status data, and flame retardancy test data; The test environment evaluation value of each test sample is obtained based on the comprehensive analysis of the test environment data, and the flame retardant performance evaluation threshold of each test sample is obtained based on the test environment evaluation value of each test sample; A qualified index of each test sample is obtained based on a comprehensive analysis of the test sample size data and the test sample status data; a test accuracy evaluation value of each test sample is obtained based on a comprehensive analysis of the test environment evaluation value of each test sample and the qualified index of each test sample; and qualified samples are screened based on the test accuracy evaluation value of each test sample; Based on the comprehensive analysis of the flame retardant test data, the flame retardant performance evaluation value of each qualified sample is obtained, and the flame retardant performance evaluation value of each qualified sample is compared with the corresponding flame retardant performance evaluation threshold. Evaluation feedback of the thermal insulation wood is given according to the comparison results.

2. The flame retardancy testing method for thermal insulation wood according to claim 1, wherein: The step of obtaining the test environment evaluation value of each test sample based on comprehensive analysis of the test environment data includes: The test environment data includes oxygen content, temperature, humidity and air pressure; Obtain critical oxygen content, critical temperature, critical humidity and critical pressure values ​​from the flame retardant test database; Comprehensive analysis is performed to obtain the test environment evaluation value of each test sample.

3. The flame retardancy testing method for thermal insulation wood according to claim 1, wherein: The step of obtaining the qualification index of each test sample based on comprehensive analysis of the test sample size data and the test sample status data includes: The test sample size data, including wood volume and wood thickness; The test sample status data, including moisture content and wood weight; Obtain reference wood volume, allowable deviation wood volume, reference wood thickness, allowable deviation wood thickness, reference moisture content, allowable deviation moisture content, reference wood weight and allowable deviation wood weight from the flame retardant test database; Comprehensive analysis was performed to obtain the qualified index of each test sample.

4. The flame retardancy testing method for thermal insulation wood according to claim 1, wherein: The step of obtaining the test accuracy evaluation value of each test sample based on the test environment evaluation value of each test sample and the qualification index of each test sample comprises: Obtain the standard test environment evaluation value, allowable deviation test environment evaluation value and critical test sample qualification index of each test sample from the flame retardant test database; Comprehensive analysis was performed to obtain the test accuracy evaluation value of each test sample.

5. The flame retardancy testing method for thermal insulation wood according to claim 1, wherein: The step of screening and obtaining qualified samples according to the test accuracy evaluation value of each test sample includes: Obtaining a test accuracy assessment threshold from a flame retardant test database; The test accuracy evaluation value of each test sample is compared with the test accuracy evaluation threshold. If the test accuracy evaluation value of a test sample is less than the test accuracy evaluation threshold, the test sample is marked as an unqualified sample. If the test accuracy evaluation value of a test sample is greater than or equal to the test accuracy evaluation threshold, the test sample is marked as a qualified sample, and the qualified samples are statistically obtained.

6. The flame retardancy testing method for thermal insulation wood according to claim 1, wherein: The step of obtaining the flame retardant performance evaluation value of each qualified sample based on comprehensive analysis of the flame retardant test data includes: The flame retardant test data includes combustion growth rate, smoke generation rate and limiting oxygen index; Obtain critical combustion growth rate, critical smoke generation rate, and critical limiting oxygen index from the flame retardant test database; Comprehensive analysis was performed to obtain the flame retardant performance evaluation values ​​of each qualified sample.

7. The flame retardancy testing method for thermal insulation wood according to claim 6, wherein: The flame retardant performance evaluation value of each qualified sample is obtained as follows: Where, ξF j represents the flame retardant performance evaluation value of the jth qualified sample, α1 represents the flame retardant performance evaluation impact factor corresponding to the combustion growth rate, α2 represents the flame retardant performance evaluation impact factor corresponding to the smoke generation rate, α3 represents the flame retardant performance evaluation impact factor corresponding to the limiting oxygen index, G 1j represents the combustion growth rate of the jth qualified sample, G0 represents the critical combustion growth rate, S 1j represents the smoke generation rate of the jth qualified sample, S0 represents the critical smoke generation rate, E 1j represents the limiting oxygen index of the jth qualified sample, E0 represents the critical limiting oxygen index, e is a natural constant, where j is the number of each qualified sample, j = 1, 2, 3, ..., M, and M is the total number of qualified samples.

8. The flame retardancy testing method for thermal insulation wood according to claim 1, wherein: The step of comparing the flame retardant performance evaluation value of each qualified sample with the corresponding flame retardant performance evaluation threshold and providing evaluation feedback on the thermal insulation wood according to the comparison result includes: The flame retardant performance evaluation value of each qualified sample is compared with the flame retardant performance evaluation threshold corresponding to each qualified sample. If the flame retardant performance evaluation value of a qualified sample is greater than or equal to the flame retardant performance evaluation threshold corresponding to the qualified sample, the qualified sample is marked as a sample with good flame retardant performance. If the flame retardant performance evaluation value of a qualified sample is less than the flame retardant performance evaluation threshold corresponding to the qualified sample, the qualified sample is marked as a sample with general flame retardant performance.

9. A flame retardancy testing system for thermal insulation wood, using the flame retardancy testing method for thermal insulation wood according to any one of claims 1 to 8, characterized in that: Including data acquisition module, environmental assessment module, sample screening module, flame retardant assessment module and flame retardant test database; The data acquisition module is used to obtain thermal insulation wood samples, mark them as test samples and perform flame retardancy tests, and collect test environment data, test sample size data, test sample status data and flame retardancy test data; The environmental assessment module is used to obtain a test environment assessment value of each test sample based on a comprehensive analysis of the test environment data, and to obtain a flame retardant performance assessment threshold value of each test sample based on the test environment assessment value of each test sample; The sample screening module is used to obtain a qualified index of each test sample based on a comprehensive analysis of the test sample size data and the test sample status data, obtain a test accuracy evaluation value of each test sample based on a comprehensive analysis of the test environment evaluation value of each test sample and the qualified index of each test sample, and screen each qualified sample based on the test accuracy evaluation value of each test sample; The flame retardant evaluation module is used to obtain the flame retardant performance evaluation value of each qualified sample based on a comprehensive analysis of the flame retardant test data, compare the flame retardant performance evaluation value of each qualified sample with the corresponding flame retardant performance evaluation threshold, and provide evaluation feedback on the thermal insulation wood based on the comparison results.

10. A flame retardant test storage medium for thermal insulation wood, used for storing a program, characterized in that: When the program is executed by a processor, the flame retardancy testing method for thermal insulation wood according to any one of claims 1 to 8 is implemented.

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