Multi-factor dynamic regulation and control building component fire resistance detection system and method
Through the multi-factor dynamic regulation of the fire resistance performance detection system for building components, the problems of deviation of detection results and lack of systematic analysis in the prior art are solved, and accurate assessment of building components in fires and rapid abnormality analysis are achieved.
Patent Information
- Application Number
- CN202510634514.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-16
- Publication Date
- 2025-08-08
AI Technical Summary
The existing fire resistance performance detection methods for building components fail to fully consider component differences, resulting in large deviations in the detection results, lack of systematic data analysis, making it difficult to accurately evaluate the performance of components in actual fires, and lack effective response strategies when detecting abnormalities.
A multi-factor dynamically regulated fire resistance performance detection system is adopted, including a fire resistance detection factor regulation determination module, a dynamic detection module, a reference module of the opposite component and a defect cause review module. The detection log is analyzed through deep learning models, dynamically adjust the detection factors, regularly record and analyze component performance, and quickly lock the cause of abnormality.
Accurate evaluation of different types of components is achieved, timely end detection, efficient analysis of abnormal causes, and ensure safety and resource utilization efficiency.
Smart Images
Figure CN120446379A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of fire resistance performance detection, and more particularly to a system and method for detecting the fire resistance performance of building components by dynamically regulating multiple factors. Background Art
[0002] In the construction industry, the fire resistance of building components plays a crucial role in ensuring a building's safety in the event of a fire. If a building component's fire resistance is insufficient, a fire can spread rapidly, causing serious damage to the structure itself and threatening the lives and property of those inside. Therefore, accurate and effective testing of the fire resistance of building components has become a critical task in ensuring building safety.
[0003] With the continuous development of the construction industry and the increasing diversification of building forms, different types of building components (such as beams, columns, floor slabs, and walls) are widely used in various building structures. These different types of building components have significant differences in their structural characteristics, material properties, functions they perform in the building, and stress conditions, resulting in different fire resistance performance in the face of fire. For example, steel beams have good thermal conductivity and heat up rapidly in a fire, while concrete columns are relatively slow to conduct heat but may crack and spall at high temperatures, affecting their fire resistance.
[0004] Traditional methods for testing the fire resistance of building components often adopt a relatively fixed, single testing model, that is, different types of building components are mostly tested for fire resistance according to unified standards and processes, failing to fully consider the differences between the various components. This approach has many drawbacks. On the one hand, it cannot accurately simulate the complex environment faced by different components in actual fire conditions, such as different thermal radiation angles and intensities, as well as changing environmental gas composition and mechanical loads. This leads to a large deviation between the test results and the actual fire resistance performance of the components, making it difficult to accurately assess the performance of the components in actual fire scenarios. On the other hand, due to its lack of specificity, it cannot comprehensively and meticulously capture the changes in the fire resistance performance of each component at different stages, which is not conducive to in-depth analysis and scientific judgment of the fire resistance performance of building components.
[0005] Furthermore, existing fire resistance testing processes often utilize test data inadequately and systematically. Typically, only basic parameters are recorded, with little regular, comprehensive documentation and in-depth analysis of changes in the fire resistance performance of building components during testing. This makes it difficult to promptly identify the cause of an anomaly based on the available test data, making it impossible to quickly and accurately determine the factors causing the anomaly.
[0006] Furthermore, when abnormal fire resistance performance is detected, effective response strategies and follow-up analysis mechanisms are often lacking. Testing is either continued blindly, wasting significant time, manpower, and material resources and potentially leading to safety incidents due to further component damage, endangering both personnel and equipment. Alternatively, testing is terminated haphazardly, failing to fully understand the underlying causes of the abnormality and providing a reliable basis for subsequent improvement measures and component quality enhancement.
[0007] In summary, in view of the above-mentioned deficiencies in existing building component fire resistance performance testing technologies, the present invention proposes a multi-factor dynamic control building component fire resistance performance testing system and method. Summary of the Invention
[0008] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a system and method for dynamically controlling the fire resistance performance of building components by multiple factors.
[0009] To achieve the above object, the present invention provides the following technical solutions:
[0010] The multi-factor dynamic control building component fire resistance performance testing system includes a fire resistance performance testing factor control determination module, a fire resistance performance dynamic testing module, a fire resistance heterogeneous component reference module, and a fire resistance performance defect cause review module;
[0011] The fire resistance performance test factor control determination module is used to determine the type of building component and clarify the fire resistance performance test factor control scheme for the building component;
[0012] The fire resistance dynamic detection module performs fire resistance detection on building components in a sealed environment according to a fire resistance detection factor control scheme. During the fire resistance detection process, a fire resistance detection log of the building component is regularly generated. Based on a comparison result of the fire resistance index in the fire resistance detection log with the fire resistance limit index, the module determines whether the building component is a fire resistance-specific component.
[0013] The fire-resistant component reference module, after a fire-resistant component with different properties appears, completes the fire-resistant performance test of the component with different properties and determines the performance reference component;
[0014] The fire resistance performance defect cause review module is used to obtain the fire resistance performance defect cause of each performance reference component and review the fire resistance performance defect cause of the fire resistance special component in sequence.
[0015] Furthermore, the fire resistance performance test log includes the building component type, building component number, log serial number, various test characteristics, and fire resistance performance index.
[0016] Furthermore, a specific method for obtaining a type of detection feature in the fire resistance performance test log is as follows: select a type of detection data, collect all data of the building components for this type of detection data within a period, preprocess and extract features of all the detection data, and extract this type of detection feature.
[0017] Furthermore, the fire resistance performance index of the fire resistance performance test log is obtained by collecting various detection features in the fire resistance performance test log, combining the various detection features into a detection feature set in the form of a feature set, obtaining a fire resistance performance analysis model for this type of building component, using the detection feature set as input data for the fire resistance performance analysis model, and outputting a stage performance index.
[0018] Furthermore, the fire-resistant heterogeneous component completes the fire resistance performance test and determines the performance reference component: the building component type of the fire-resistant heterogeneous component is obtained, and the building components of the same type that have previously completed the fire resistance performance test are marked as performance traceability components, the performance traceability consistency index of each performance traceability component is obtained, and the performance traceability consistency standard index is set. When the performance traceability consistency index of the performance traceability component is greater than or equal to the performance traceability consistency standard index, the corresponding performance traceability component is marked as a performance reference component.
[0019] Furthermore, the performance traceability consistency index of the performance traceability component is specifically obtained by: obtaining all fire resistance performance test logs of the fire resistance heterogeneous components, obtaining the log serial number of each fire resistance performance test log, obtaining all fire resistance performance test logs with the same log serial number of the performance traceability component, and then obtaining the same-order combustion compliance index corresponding to each log serial number, setting the same-order combustion compliance threshold index, when the same-order combustion compliance index is greater than or equal to the same-order combustion compliance threshold index, increasing the same-order combustion compliance times by one, marking the same-order combustion compliance times as Bnti, summing and averaging the same-order combustion compliance indices corresponding to all log serial numbers, and calculating the average same-order combustion compliance index Mdse, and calculating the performance traceability consistency index sited of the performance traceability component by sited = (Bnti + v1) * (Mdse + v2), where v1 is coefficient No. 1 and v2 is coefficient No. 2.
[0020] Furthermore, the same-order combustion consistency index corresponding to the log number is obtained by the following method: determine two fire resistance performance test logs with the same log number, obtain various detection features of the fire resistance performance test log, and then obtain the feature performance consistency index of various detection features, calculate the sum and average of the feature performance consistency index of various detection features, and calculate the average feature performance consistency index Cope (chara), compare various detection features pairwise, calculate the absolute difference of the feature performance consistency index of the two compared detection features, and calculate the heterogeneous feature performance difference index, calculate the sum and average of all heterogeneous feature performance difference indices, and calculate the average heterogeneous feature performance difference index hetfe (dife), through Calculate the combustion index stage (vn) corresponding to the log sequence number.
[0021] Furthermore, the feature performance consistency index of the detection feature is obtained by: selecting a type of detection feature, combining the detection features of this type in two fire resistance performance test logs into a comparison feature group, obtaining the feature comparison model corresponding to this type of detection feature, using the comparison feature group as input data of the feature comparison model, and outputting the feature performance consistency index of the detection feature.
[0022] Further, the causes of fire resistance defects of the fire-resistant special-property components are reviewed in order: a defect cause review index of each fire resistance defect cause is determined, and each fire resistance defect cause is sorted in descending order according to the value of the defect cause review index;
[0023] The defect cause review index of the fire resistance performance defect cause is specifically obtained as follows: select a fire resistance performance defect cause, and when the performance reference component has the fire resistance performance defect cause, increase the number of defect cause overlaps by one, and mark the corresponding performance reference component as a defect consistent component, and calculate the sum and average of the performance traceability consistency indices of all defect consistent components to obtain the average performance traceability consistency index, and multiply the number of defect cause overlaps by the average performance traceability consistency index to obtain the defect cause review index of the fire resistance performance defect cause.
[0024] Furthermore, a multi-factor dynamic control method for testing the fire resistance of building components is provided, and the steps are as follows:
[0025] Step 1: Determine the type of building component and clarify the control plan for fire resistance performance testing factors of the building component;
[0026] Step 2: Conduct fire resistance performance testing on building components in a sealed environment according to the fire resistance performance testing factor control plan;
[0027] Step 3: During the fire resistance performance test, a fire resistance performance test log of the building component is regularly generated, and based on the comparison result of the fire resistance performance index in the fire resistance performance test log with the fire resistance performance limit index, it is determined whether the building component is a fire resistance heterogeneous component;
[0028] Step 4: After a fire-resistant component with abnormal properties appears, the fire resistance performance test of the component with abnormal properties is completed, and a performance reference component is determined;
[0029] Step 5: Obtain the causes of fire resistance defects of each performance reference component, and review the causes of fire resistance defects of fire resistance special components in sequence.
[0030] Compared with the prior art, the present invention has the following beneficial effects:
[0031] The present invention sets a fire resistance performance detection factor control determination module, a fire resistance performance dynamic detection module, a fire resistance anomaly component reference module and a fire resistance performance defect cause review module, so that the system can set different fire resistance performance detection factor control schemes for different types of building components, thereby ensuring a more accurate assessment of the fire resistance performance of different types of building components under actual fire conditions. In the process of fire resistance performance detection, the fire resistance performance of building components is regularly recorded and analyzed. After the fire resistance performance detection is abnormal, the fire resistance performance detection is terminated in time, and the fire resistance performance detection logs of the same type of building components are traced. Through in-depth analysis of the detection characteristics, the building components with the same performance as the current fire resistance performance abnormal building components are efficiently and accurately analyzed, and the possible fire resistance performance defect causes of the current fire resistance performance abnormal building components are further analyzed. The fire resistance performance defect causes are reviewed in sequence to ensure that the true fire resistance performance defect causes can be quickly and accurately locked. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 It is a module block diagram of the system of the present invention;
[0033] Figure 2 A marked flow chart for performance reference components;
[0034] Figure 3 A flow chart for obtaining a defect cause review index for fire resistance defect causes;
[0035] Figure 4 Flowchart of the method of the present invention. DETAILED DESCRIPTION
[0036] Example 1: Reference Figure 1-Figure 3 The multi-factor dynamic control fire resistance performance detection system of building components includes a fire resistance performance detection factor control determination module, a fire resistance performance dynamic detection module, a fire resistance heterogeneous component reference module, and a fire resistance performance defect cause review module.
[0037] The fire resistance performance test factor control determination module determines the type of building components and clarifies the fire resistance performance test factor control scheme for the building components (each type of building component corresponds to a unique fire resistance performance test factor control scheme. All fire resistance performance test factor control schemes are set by technical personnel in this field according to the standards. For example, two steel beam components need to adopt completely consistent fire resistance performance test factor control schemes. Taking steel beam components and concrete beam components as an example, in the process of fire resistance test, in terms of temperature parameter control, steel beam components will refer to the faster industrial building fire temperature rise rate standard for control, and concrete beam components will be controlled according to the ordinary building fire temperature rise rate standard. In terms of thermal radiation parameter control, In terms of thermal radiation intensity, steel beam components will adopt a higher thermal radiation intensity to dynamically simulate the high-intensity thermal radiation in industrial building fires, and concrete beam components will adopt a lower thermal radiation intensity to dynamically simulate the medium-intensity thermal radiation in ordinary building fires. In terms of environmental gas parameter control, steel beam components will dynamically simulate the high oxygen concentration and harmful gas environment in industrial building fires, and concrete beam components will dynamically simulate the medium oxygen concentration and low harmful gas environment in ordinary building fires. In terms of mechanical load parameter control, steel beam components will dynamically apply higher static or dynamic loads to simulate heavy load conditions in industrial buildings, and concrete beam components will dynamically apply medium static loads to simulate conventional load conditions in ordinary buildings).
[0038] The dynamic fire resistance performance detection module performs fire resistance performance detection on building components in a sealed environment according to the fire resistance performance detection factor control plan (during the detection process, the temperature, thermal radiation intensity, ambient gas and other factors will be dynamically adjusted according to the control plan). During the fire resistance performance detection process, various detection data of the building components are collected in real time (the detection data includes but is not limited to the surface temperature, internal temperature, internal force and stress of the building components), and a fire resistance performance detection log of the building component is generated regularly. The fire resistance performance detection log includes the building component type, building component number (each building component has a unique number, and different building components have different numbers), and log sequence number (the log sequence number is i, i= 1, 2, ..., I-1, I, a building component, the log number is incremented in sequence according to the generation order of the fire resistance performance test log), various test characteristics (test characteristics include but are not limited to surface temperature characteristics, internal temperature characteristics, internal force characteristics, and stress characteristics of the building component), fire resistance performance index, each time a fire resistance performance test log is generated, the fire resistance performance index of the fire resistance performance test log is obtained, and a fire resistance performance limit index is set (the fire resistance performance limit index is a preset index used for comparison with the fire resistance performance index). When the fire resistance performance index of the fire resistance performance test log is less than the fire resistance performance limit index, the corresponding building component is marked as a fire resistance anomaly component (otherwise, no mark is made).
[0039] A type of detection feature in the fire resistance performance test log is obtained by: selecting a type of detection data (such as surface temperature), collecting all data of building components for this type of detection data within a period, preprocessing and feature extraction of all the detection data, and extracting this type of detection feature.
[0040] The fire resistance performance index of the fire resistance performance test log is obtained by collecting various detection features in the fire resistance performance test log, combining the various detection features into a detection feature set in the form of a feature set, obtaining a fire resistance performance analysis model for this type of building component, using the detection feature set as input data for the fire resistance performance analysis model, and outputting the stage performance index.
[0041] Different types of building structures correspond to different fire resistance performance analysis models. Each fire resistance performance analysis model is constructed based on a deep learning model. In this embodiment, taking steel beam components as an example, a specific construction method of the fire resistance performance analysis model of steel beam components is disclosed: detection feature sets of multiple steel beam components are collected, a deep learning model is constructed, and the detection feature sets of steel beam components are used as training data for the deep learning model. A fire resistance performance index is assigned to each training data. The value range of the fire resistance performance index is (1.0~20.0). The smaller the fire resistance performance index, the worse the fire resistance performance of the steel beam component. The training data is divided into a training set, a validation set, and a test set in a ratio of 70%:15%:15%. The training set, validation set, and test set are trained, and finally, a fire resistance performance analysis model of the steel beam component is constructed.
[0042] The reference module for fire-resistant heterogeneous components: after a fire-resistant heterogeneous component appears, the fire resistance performance test of the fire-resistant heterogeneous component is completed, and the building component type of the fire-resistant heterogeneous component is obtained simultaneously. The building components of the same type that have previously completed the fire resistance performance test are marked as performance traceability components, the performance traceability consistency index of each performance traceability component is obtained, and the performance traceability consistency standard index is set (the performance traceability consistency standard index is a preset index used for comparison with the performance traceability consistency index). When the performance traceability consistency index of the performance traceability component is greater than or equal to the performance traceability consistency standard index, the corresponding performance traceability component is marked as a performance reference component (when the performance traceability consistency index of the performance traceability component is less than the performance traceability consistency standard index, no mark is made).
[0043] The performance traceability consistency index of the performance traceability component is specifically obtained by: obtaining all fire resistance performance test logs of the fire resistance heterogeneous component, obtaining the log serial number of each fire resistance performance test log, obtaining all fire resistance performance test logs of the performance traceability component with the same log serial number, and then obtaining the same-order combustion compliance index corresponding to each log serial number, setting the same-order combustion compliance threshold index (the same-order combustion compliance threshold index is a preset index used for comparison with the same-order combustion compliance index), and when the same-order combustion compliance index is greater than or equal to the same-order combustion compliance threshold index, the number of same-order combustion compliances is increased. Add once (when the same-order combustion consistency index is less than the same-order combustion consistency threshold index, no processing is performed), mark the number of same-order combustion consistency times as Bnti, calculate the sum and average of the same-order combustion consistency indices corresponding to all log numbers, and calculate the average same-order combustion consistency index Mdse. The performance traceability consistency index sited of the performance traceability component is calculated by sited = (Bnti + v1) * (Mdse + v2), where v1 is the first coefficient and v2 is the second coefficient. The value of v1 is 1.69 and the value of v2 is 0.98.
[0044] The specific method for obtaining the same-order combustion compliance index corresponding to the log serial number is as follows: determine two fire resistance performance test logs with the same log serial number (one is the fire resistance performance test log of the fire resistance heterogeneous component, and the other is the fire resistance performance test log of the performance traceability component), obtain various detection features of the fire resistance performance test log, and then obtain the feature performance consistency index of various detection features, calculate the sum and mean of the feature performance consistency index of various detection features, and calculate the average feature performance consistency index Cope (chara), compare various detection features pairwise, calculate the absolute difference of the feature performance consistency index of the two compared detection features, and calculate the heterogeneous feature performance difference index, calculate the sum and mean of all heterogeneous feature performance difference indices, and calculate the average heterogeneous feature performance difference index hetfe (dife), through Calculate the combustion index stage (vn) corresponding to the log sequence number.
[0045] The feature performance consistency index of the detection feature is obtained by: selecting a type of detection feature, combining the detection features of this type in two fire resistance performance test logs into a comparison feature group, obtaining the feature comparison model corresponding to this type of detection feature, using the comparison feature group as the input data of the feature comparison model, and outputting the feature performance consistency index of the detection feature.
[0046] Each type of detection feature corresponds to a feature comparison model, and each feature comparison model is constructed based on a deep learning model. In this embodiment, taking the surface temperature feature as an example, the specific construction method of the feature comparison model of the surface temperature feature is disclosed: collecting comparison feature groups of multiple surface temperature features, constructing a deep learning model, and using the comparison feature group of the surface temperature feature as training data for the deep learning model. A feature performance consistency index is assigned to each training data. The value range of the feature performance consistency index is (1.1~4.9). The larger the feature comparison index, the more consistent the two surface temperature features in the comparison feature group are. The training data is divided into a training set, a validation set, and a test set in a ratio of 60%:20%:20%. The training set, validation set, and test set are trained, and finally, a feature comparison model of the surface temperature feature is constructed.
[0047] The fire resistance performance defect cause review module obtains the fire resistance performance defect cause of each performance reference component (each performance reference component may correspond to one fire resistance performance defect cause, or may correspond to multiple fire resistance performance defect causes. The fire resistance performance defect causes include insufficient vibration during concrete pouring, insufficient steel bar anchorage length, uneven application of fire retardant coating, etc.), and then determines the defect cause review index of each fire resistance performance defect cause. The fire resistance performance defect causes are sorted in descending order according to the value of the defect cause review index, and the fire resistance performance defect causes of the fire-resistant special components are reviewed in the sorted order.
[0048] The defect cause review index of the fire resistance performance defect cause is specifically obtained as follows: select a fire resistance performance defect cause, and when the performance reference component has the fire resistance performance defect cause, increase the number of defect cause overlaps by one, and mark the corresponding performance reference component as a defect consistent component, and calculate the sum and average of the performance traceability consistency indices of all defect consistent components to obtain the average performance traceability consistency index, and multiply the number of defect cause overlaps by the average performance traceability consistency index to obtain the defect cause review index of the fire resistance performance defect cause.
[0049] Example 2: Reference Figure 4 , a method for testing the fire resistance performance of building components by dynamic control of multiple factors, the steps are as follows:
[0050] Step 1: Determine the type of building component and clarify the control plan for fire resistance performance testing factors of the building component;
[0051] Step 2: Conduct fire resistance performance testing on building components in a sealed environment according to the fire resistance performance testing factor control plan;
[0052] Step 3: During the fire resistance performance test, a fire resistance performance test log of the building component is regularly generated, and based on the comparison result of the fire resistance performance index in the fire resistance performance test log with the fire resistance performance limit index, it is determined whether the building component is a fire resistance heterogeneous component;
[0053] Step 4: After a fire-resistant component with abnormal properties appears, the fire resistance performance test of the component with abnormal properties is completed, and a performance reference component is determined;
[0054] Step 5: Obtain the causes of fire resistance defects of each performance reference component, and review the causes of fire resistance defects of fire resistance special components in sequence.
[0055] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.
[0056] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.
[0057] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0058] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0059] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0060] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0061] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
[0062] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.
Claims
1. A multi-factor dynamic control building component fire resistance performance detection system, characterized by: It includes a fire resistance performance test factor control and determination module, a fire resistance performance dynamic detection module, a fire resistance heterogeneous component reference module, and a fire resistance performance defect cause review module; The fire resistance performance test factor control determination module is used to determine the type of building component and clarify the fire resistance performance test factor control scheme for the building component; The fire resistance dynamic detection module performs fire resistance detection on building components in a sealed environment according to a fire resistance detection factor control scheme. During the fire resistance detection process, a fire resistance detection log of the building component is regularly generated. Based on a comparison result of the fire resistance index in the fire resistance detection log with the fire resistance limit index, the module determines whether the building component is a fire resistance-specific component. The fire-resistant component reference module, after a fire-resistant component with different properties appears, completes the fire-resistant performance test of the component with different properties and determines the performance reference component; The fire resistance performance defect cause review module is used to obtain the fire resistance performance defect cause of each performance reference component and review the fire resistance performance defect cause of the fire resistance special component in sequence.
2. The multi-factor dynamic control building component fire resistance performance detection system according to claim 1 is characterized in that: The fire resistance performance test log includes the building component type, building component number, log serial number, various test characteristics, and fire resistance performance index.
3. The multi-factor dynamic control building component fire resistance performance detection system according to claim 2 is characterized in that: A type of detection feature in the fire resistance performance test log is obtained by: selecting a type of test data, collecting all data of the building components for this type of test data within a period, preprocessing and feature extraction of all the test data, and extracting this type of detection feature.
4. The multi-factor dynamic control building component fire resistance performance detection system according to claim 2 is characterized in that: The fire resistance performance index of the fire resistance performance test log is obtained by collecting various detection features in the fire resistance performance test log, combining the various detection features into a detection feature set in the form of a feature set, obtaining a fire resistance performance analysis model for this type of building component, using the detection feature set as input data for the fire resistance performance analysis model, and outputting the stage performance index.
5. The multi-factor dynamic control building component fire resistance performance detection system according to claim 1 is characterized in that: The fire resistance performance test of the fire-resistant special component is completed, and the performance reference component is determined: the building component type of the fire-resistant special component is obtained, and the building components of the same type that have previously completed the fire resistance performance test are marked as performance traceability components, the performance traceability consistency index of each performance traceability component is obtained, and the performance traceability consistency standard index is set. When the performance traceability consistency index of the performance traceability component is greater than or equal to the performance traceability consistency standard index, the corresponding performance traceability component is marked as a performance reference component.
6. The multi-factor dynamic control building component fire resistance performance detection system according to claim 5 is characterized in that: The performance traceability consistency index of the performance traceability component is specifically obtained in the following manner: obtain all fire resistance performance test logs of the fire resistance heterogeneous components, obtain the log number of each fire resistance performance test log, obtain all fire resistance performance test logs with the same log number of the performance traceability component, and then obtain the same-order combustion compliance index corresponding to each log number, set the same-order combustion compliance threshold index, and when the same-order combustion compliance index is greater than or equal to the same-order combustion compliance threshold index, increase the number of same-order combustion compliances by one, mark the number of same-order combustion compliances as Bnti, calculate the sum and average of the same-order combustion compliance indices corresponding to all log numbers, and calculate the average same-order combustion compliance index Mdse, and calculate the performance traceability consistency index sited of the performance traceability component by sited = (Bnti + v1) * (Mdse + v2), where v1 is the first coefficient and v2 is the second coefficient.
7. The multi-factor dynamic control building component fire resistance performance detection system according to claim 6 is characterized in that: The specific acquisition method of the same-order combustion consistency index corresponding to the log sequence number is as follows: determine two fire resistance performance test logs with the same log sequence number, obtain various detection features of the fire resistance performance test logs, and then obtain the feature performance consistency index of various detection features, calculate the sum and average of the feature performance consistency index of various detection features, and calculate the average feature performance consistency index Cope (chara), compare various detection features pairwise, calculate the absolute difference of the feature performance consistency index of the two compared detection features, and calculate the heterogeneous feature performance difference index, calculate the sum and average of all heterogeneous feature performance difference indices, and calculate the average heterogeneous feature performance difference index hetfe (dife), through Calculate the combustion index stage (vn) corresponding to the log sequence number.
8. The multi-factor dynamic control building component fire resistance performance detection system according to claim 7 is characterized in that: The feature performance consistency index of the detection feature is obtained by: selecting a type of detection feature, combining the detection features of this type in two fire resistance performance test logs into a comparison feature group, obtaining the feature comparison model corresponding to this type of detection feature, using the comparison feature group as the input data of the feature comparison model, and outputting the feature performance consistency index of the detection feature.
9. The multi-factor dynamic control building component fire resistance performance detection system according to claim 1 is characterized in that: Review the causes of fire resistance defects of fire-resistant special-property components in order: determine the defect cause review index of each fire resistance defect cause, and sort the causes of fire resistance defects in descending order according to the defect cause review index value; The defect cause review index of the fire resistance performance defect cause is specifically obtained as follows: select a fire resistance performance defect cause, and when the performance reference component has the fire resistance performance defect cause, increase the number of defect cause overlaps by one, and mark the corresponding performance reference component as a defect consistent component, and calculate the sum and average of the performance traceability consistency indices of all defect consistent components to obtain the average performance traceability consistency index, and multiply the number of defect cause overlaps by the average performance traceability consistency index to obtain the defect cause review index of the fire resistance performance defect cause.
10. A method for detecting fire resistance performance of building components by dynamic multi-factor regulation, applied to a system for detecting fire resistance performance of building components by dynamic multi-factor regulation according to any one of claims 1 to 9, characterized in that: Here are the steps: Step 1: Determine the type of building component and clarify the control plan for fire resistance performance testing factors of the building component; Step 2: Conduct fire resistance performance testing on building components in a sealed environment according to the fire resistance performance testing factor control plan; Step 3: During the fire resistance performance test, a fire resistance performance test log of the building component is regularly generated, and based on the comparison result of the fire resistance performance index in the fire resistance performance test log with the fire resistance performance limit index, it is determined whether the building component is a fire resistance heterogeneous component; Step 4: After a fire-resistant component with abnormal properties appears, the fire resistance performance test of the component with abnormal properties is completed, and a performance reference component is determined; Step 5: Obtain the causes of fire resistance defects of each performance reference component, and review the causes of fire resistance defects of fire resistance special components in sequence.