Fire behavior dynamic simulation and interference experiment analysis platform

Abstract

The invention relates to the technical field of fire scientific experiments, and particularly discloses a fire behavior dynamic simulation and interference experiment analysis platform, which is characterized in that a fire experiment platform simulation model is built through parametric modeling, and a fire scene and interference conditions are set for combustion simulation; combustion data before and after the action of various interference conditions in various fire scenes are output, fire evolution models in various fire scenes and the influence degree of various interference conditions are predicted, the limitation of single parameter measurement is broken through, the evolution law of various parameters of fire combustion is disclosed, and coupling interference of various interference factors can be dynamically simulated; and the precision of the simulation model is evaluated according to a fire combustion entity experiment, optimization of the simulation model is facilitated, the reliability of the model is improved, the efficiency, precision and safety of fire research can be remarkably improved through combination of the entity experiment and virtual simulation, and scientific support is provided for fire mechanism research, prevention and control strategy optimization and emergency decision making.

Description

Technical Field

[0001] The present invention relates to the field of fire science experimental technology, specifically a comprehensive experimental analysis platform that can dynamically simulate fire behavior, impose multiple interference conditions, and collect multi-dimensional data in real time. The platform is suitable for verifying firefighting strategies, testing the fireproofing properties of materials, and studying fire mechanisms. Background Art

[0002] The two main existing methods for dynamic simulation of fire behavior are relying on full-scale physical experiments and using virtual simulation technology. Both methods have their own limitations in practical applications.

[0003] First, reliance on full-scale physical experiments has limitations such as high cost, safety hazards, poor repeatability, long cycles, data collection limitations, and uncontrollable risks.

[0004] For example, the existing Chinese patent publication number CN107167551A discloses a test device for simulating the performance of concrete structures in fire. The device consists of a combustion test platform and a combustion control system. The platform includes a fire combustion chamber and a non-fire combustion chamber, with test concrete structures placed on both combustion chambers. The control system provides simulated fire to the fire combustion chamber. The test system includes a concrete structure temperature test system and an internal force test system. The concrete structures are fixed in a self-restraint system. This invention tests the dynamic response of the interior of a concrete structure under constrained conditions, avoids the construction of large concrete structures for testing, reduces the scale of the test system, and proposes a new test platform and test method for large concrete structures. This test device can effectively understand and grasp the mechanical behavior of concrete structures during fire, and has very important practical value and engineering significance for evaluating the safety of concrete structures during fire.

[0005] For another example, the existing Chinese patent with authorization announcement number CN117110518B discloses a cable tunnel fire prevention product detection method based on high-voltage cable equivalent combustion simulation, the method includes: building a cable tunnel fire test platform in proportion, arranging real cables and igniting them, and obtaining the temperature rise characteristic curve of the cable tunnel fire test platform during the real cable combustion test; establishing a cable combustion model, and correcting the cable combustion model based on the test data of the cable combustion, so that the average error of the temperature rise characteristic curve between the cable combustion simulation and the real cable combustion test is less than a set threshold; using the obtained cable model to simulate the cable combustion process, and obtain the combustion power change of the real cable; using clean fuel to replace the real cable for combustion, and determining the mass flow change data of the clean fuel based on the combustion power change data and the combustion calorific value of the clean fuel, and simulating the cable tunnel fire environment by equivalently controlling the air intake of the clean fuel combustion, so as to detect the fire prevention product through the cable tunnel fire environment.

[0006] Secondly, virtual simulation technology has limitations such as strong model dependence, difficulty in verification, and insufficient simulation of complex phenomena.

[0007] For example, existing Chinese patent publication number CN110110443A discloses a simulation method for rapidly testing the horizontal combustion characteristics of a single cable. This method establishes a combustion chamber model that meets the requirements within fire dynamics simulation software, sets cable system model parameters, performs combustion simulation, obtains data on temperature and heat release rate changes over time during the combustion process, and uses sensor data to determine whether the cable meets the standard. This invention addresses the high cost, high risk, long cycle time, poor flexibility, and environmental pollution associated with physical cable horizontal combustion testing. It offers advantages such as a short modeling cycle, flexible parameter settings, and high efficiency, enabling rapid testing of the horizontal combustion characteristics of a single cable. Summary of the Invention

[0008] In response to the above problems, the present invention proposes a fire behavior dynamic simulation and interference experimental analysis platform to achieve the functions of dynamic simulation of fire behavior and analysis of interference conditions.

[0009] The technical solution adopted by the present invention to solve its technical problem is: the present invention provides a fire behavior dynamic simulation and interference experiment analysis platform, including: a simulation model building module: based on the characteristic information of the fire experiment platform, using simulation software to build a proportional simulation model of the fire experiment platform.

[0010] Fire combustion dynamic simulation module: Set fire scenarios and interference conditions in the fire experiment platform simulation model to perform combustion simulation, output combustion temperature, heat release rate, smoke particle concentration, mass loss combustion data before and after the action of various interference conditions in various fire scenarios, and predict the fire evolution model and the influence degree of various interference conditions in various fire scenarios.

[0011] Fire combustion physical experiment module: Use the fire experiment platform to conduct combustion physical experiments, collect combustion data before and after the action of various interference conditions in various fire scenarios, and analyze the actual fire evolution model and the influence degree of various interference conditions in various fire scenarios.

[0012] Simulation model accuracy evaluation module: compares the combustion simulation results with the combustion entity experiment results to evaluate the prediction accuracy of the fire test platform simulation model.

[0013] Database: stores characteristic information of the fire experiment platform.

[0014] Compared with the existing technology, the fire behavior dynamic simulation and interference experimental analysis platform described in the present invention has the following beneficial effects: 1. The present invention builds a fire experiment platform simulation model through parametric modeling, previews the effects of various fire scenarios and interference conditions, and evaluates the accuracy of the simulation model based on the actual fire combustion experiment, which is beneficial to the optimization of the simulation model and the improvement of the reliability of the model. The combination of actual experiments and virtual simulation can significantly improve the efficiency, accuracy and safety of fire research.

[0015] 2. This invention predicts fire evolution models under various fire scenarios by monitoring the changing trends of combustion temperature, heat release rate, smoke particle concentration, and mass loss under various fire scenarios. It has a wider range of applications and strong flexibility. At the same time, it breaks through the limitations of single parameter measurement, reveals the evolution laws of various fire combustion parameters, and improves the data dimension of fire research.

[0016] 3. By analyzing the influence of various interference conditions in various fire scenarios, the present invention can dynamically simulate the coupled interference of multiple interference factors and the synergistic effect of multiple means in real fire extinguishing scenarios, providing a scientific basis for optimizing fire extinguishing strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 This is a system module connection diagram of the present invention.

[0019] Figure 2 This is a schematic structural diagram of the external sealing device in the fire test platform of the present invention.

[0020] Figure 3 It is a structural schematic diagram of the interference condition generating device in the fire experiment platform of the present invention.

[0021] Figure 4 It is a structural schematic diagram of the combustion platform and mass loss testing device in the fire test platform of the present invention.

[0022] Figure 5 This is a schematic structural diagram of the smoke particle collection device in the fire experiment platform of the present invention.

[0023] Figure numerals: 1. External sealing device, 2. Top boss, 3. Exhaust duct interface, 4. Main body, 5. Steel door, 6. Glass window, 7. Interference condition generating device, 8. Floor plate, 9. Universal wheel, 10. Top boss, 11. Glass door, 12. Pull-out hole 1, 13. Pull-out hole 2, 14. Combustion platform and mass loss testing device, 15. Combustion pool, 16. Insulating asbestos net, 17. Floor scale, 18. Smoke particle collection device, 19. Support device, 20. Sampling device, 21. Roller. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] See also Figure 1 As shown, the present invention provides a fire behavior dynamic simulation and interference experiment analysis platform, including a simulation model building module, a fire combustion dynamic simulation module, a fire combustion entity experiment module, a simulation model accuracy evaluation module, and a database.

[0026] The fire combustion dynamic simulation module is connected to the simulation model building module and the fire combustion entity experiment module respectively, the simulation model accuracy evaluation module is connected to the fire combustion entity experiment module, and the database is connected to the simulation model building module.

[0027] The simulation model building module builds a proportional simulation model of the fire experiment platform using simulation software based on the characteristic information of the fire experiment platform.

[0028] Furthermore, the specific working process of the simulation model building module is: record the fire behavior dynamic simulation and interference research platform as the fire experiment platform, extract the characteristic information of the fire experiment platform stored in the database, where the characteristic information includes platform layout information, geometric parameter information, material property information, and boundary condition information, and further use the fire dynamics simulation software to build a simulation model that is proportional to the fire experiment platform.

[0029] As a preferred solution, the platform layout information of the fire test platform includes the spatial position, connection method and relative distance of each device in the fire test platform; the geometric parameter information of the fire test platform includes shape, size, etc.; the material property information of the fire test platform includes the thermal conductivity, specific heat capacity, density, thermal emissivity, high temperature resistance, etc. of the cavity material; and the boundary condition information of the fire test platform includes external temperature, wind speed, pressure fluctuation, etc.

[0030] It should be noted that the use of fire dynamics simulation software to build a simulation model in proportion to the fire experimental platform is a relatively mature technology available and will not be elaborated here.

[0031] As a preferred solution, the fire behavior dynamic simulation and interference research platform consists of an external sealing device, an interference condition generating device, a combustion platform, a smoke particle collection device, a temperature testing device and a mass loss testing device.

[0032] As a preferred option, see Figure 2 As shown, the external sealing device has a total height of 2300mm, with the bottom constructed from a 3500mm x 3500mm x 150mm steel plate. The top boss structure measures 3400mm x 3400mm x 495mm, with a 550mm x 550mm x 400mm exhaust duct connection at the top. The main body includes two openable front and rear steel doors with small see-through windows measuring 1800mm x 904mm x 100mm, and two left and right glass windows measuring 1800mm x 1000mm x 100mm.

[0033] As a preferred option, see Figure 3 As shown, the main body of the interference condition generator is constructed from 2mm-thick steel plate, fully welded. The baseplate is a single piece of 800mm × 800mm × 20mm steel plate, and four steerable universal wheels are installed on the bottom to facilitate movement of the entire device. The top boss measures 400mm × 400mm × 2mm, with a central opening measuring 250mm × 250mm × 2mm, serving as an exhaust for laboratory smoke. The square main body measures 800mm × 800mm × 900mm, and the front features an openable 640mm × 640mm × 10mm glass door, constructed from 600mm × 600mm × 4mm explosion-proof glass. This glass door allows for the placement of laboratory equipment and eliminates the issue of cameras being too close to a fire source to effectively record fire. An L-shaped pull-out hole 1, measuring 200mm × 50mm, is located 100mm from the baseplate, and another L-shaped pull-out hole 2, 700mm from the baseplate, is located on the side. Pull-out hole 1 facilitates the passage of data cables from certain devices and can be used as an entry point for interference sources in certain interference condition simulations, such as dust simulations. Pull-out hole 2 can also be used as an entry point for interference sources in certain interference conditions, such as dust simulations, and can also serve as a measurement point for dust concentration within the device. The side openings of the interference condition generator ensure adequate air circulation within the device.

[0034] As a preferred option, see Figure 4As shown, the combustion platform and mass loss test device includes a 150mm×150mm×2mm combustion pool, a 600mm×600mm×20mm thermal insulation asbestos mesh, and a floor scale. Through an external computer program, the mass change of the combustion material during combustion can be accurately measured.

[0035] As a preferred option, see Figure 5 As shown, the smoke particle collection device consists of two parts: the support device on the left and the sampling device on the right. The sampling device is connected to the support device through an opening on the upper side, allowing it to be added or moved according to experimental needs. The opening on the lower side of the sampling device allows the length of the sampling rod to be controlled and adjusted according to actual needs. A roller installed at the bottom of the support device allows smoke particle sampling at different combustion stages.

[0036] As a preferred solution, the temperature testing device includes a thermocouple data acquisition instrument and a thermocouple. The thermocouple is used to measure the temperature change of the experimental sample. The thermocouple can be fixed to the sampling rod of the smoke particle collection device. At the same time, the number and spacing of the thermocouples can be adjusted according to experimental requirements.

[0037] The fire combustion dynamic simulation module sets fire scenes and interference conditions in the fire experiment platform simulation model to perform combustion simulation, outputs combustion temperature, heat release rate, smoke particle concentration, and mass loss combustion data before and after the action of various interference conditions in various fire scenes, and predicts the fire evolution model and the influence degree of various interference conditions in various fire scenes.

[0038] Furthermore, the specific working process of the fire combustion dynamic simulation module includes: taking the fire source type, fire source location, internal environment temperature and humidity, and ventilation opening status as variables of the fire scene, and performing multiple adjustments and settings to obtain various fire scenes.

[0039] The types of interference sources and their control parameters are used as variables of interference conditions. The types of interference sources include mechanical disturbances, airflow disturbances, and fire extinguishing agent injection. The control parameters of interference sources include interference intensity, frequency, duration, and spatial distribution. By combining the types of interference sources and adjusting the control parameters of the interference sources, various interference conditions are obtained.

[0040] As a preferred solution, the fire source type refers to different burning materials, such as wood, gasoline, plastic, paper, etc. Different fire source types have different combustion characteristics, generated heat, smoke and toxic gas types and amounts.

[0041] As a preferred solution, the fire source location refers to different locations of the fire source in the fire test platform, such as corners, center, near ventilation holes, etc., which will affect the direction and speed of fire spread.

[0042] As a preferred embodiment, the temperature and humidity of the internal environment refer to the temperature and humidity within the fire test platform. A fire may develop slowly in a cold environment, while a fire is more likely to spread rapidly in a hot environment. Fires develop differently depending on the ambient temperature. Humidity affects the dryness and combustion properties of combustible materials. High humidity makes combustibles less likely to ignite and burn, reducing the spread of a fire; low humidity, on the other hand, increases the risk of fire.

[0043] As a preferred embodiment, the vent opening state refers to the open and closed states of the vents within the fire test platform. Good ventilation provides more oxygen to the fire, accelerating combustion and spread; poor ventilation may limit the fire's spread. Opening and closing the vents correspond to different fire development conditions.

[0044] It should be noted that in the dynamic simulation and interference research of fire behavior, interference sources refer to internal or external factors or interventions that can affect the development, spread, or behavior of a fire. These interference sources may significantly affect the dynamic behavior of a fire by changing the physical and chemical processes of the fire or the environmental conditions.

[0045] As a preferred solution, the type of interference source in the interference condition may be one or a combination of multiple types.

[0046] As a preferred solution, among the interference intensities of the interference sources, the interference intensity of mechanical disturbance refers to the amplitude of mechanical vibration, the interference intensity of airflow disturbance refers to the airflow velocity, and the interference intensity of fire extinguishing agent injection refers to the injection flow rate.

[0047] As a preferred solution, the frequency of the interference source refers to the interval at which the interference occurs.

[0048] As a preferred solution, the spatial distribution of the interference source includes local and global.

[0049] As a preferred solution, in fire dynamic simulation, the interference source can be modeled by numerical model parameterization, that is, the interference source is converted into boundary conditions or variables in the physical equation.

[0050] Furthermore, the specific working process of the fire combustion dynamic simulation module also includes: setting a fire scene in the fire experiment platform simulation model to perform combustion simulation.

[0051] According to the preset equal time interval principle, various sampling time points are set during the fire combustion process, and various temperature detection points are arranged on the fire experiment platform.

[0052] Output the temperature of each temperature detection point of the fire test platform at each sampling time point during the fire combustion process under various fire scenarios, take the highest temperature of the temperature detection point in the fire test platform as the combustion temperature corresponding to the sampling time point, obtain the combustion temperature at each sampling time point during the fire combustion process under various fire scenarios, draw the combustion temperature change trend curve during the fire combustion process under various fire scenarios, and record it as the combustion temperature change trend curve before various interference conditions act under various fire scenarios.

[0053] Output the heat release rate, smoke particle concentration, and mass loss at each sampling time point during the fire combustion process under various fire scenarios, draw the changing trend curves of the heat release rate, smoke particle concentration, and mass loss during the fire combustion process under various fire scenarios, and record them as the changing trend curves of the heat release rate, smoke particle concentration, and mass loss before various interference conditions act under various fire scenarios.

[0054] According to the changing trend curves of combustion temperature, heat release rate, smoke particle concentration and mass loss during the fire combustion process under various fire scenarios, fire evolution models under various fire scenarios are constructed.

[0055] In another specific embodiment, a combustion temperature variation trend curve during the fire combustion process under various fire scenarios is drawn based on the average temperature of the temperature detection points in the fire experiment platform.

[0056] As a preferred solution, the combustion temperature change trend curve during the fire combustion process under various fire scenarios represents the combustion temperature change trend curve when there are no interference conditions under various fire scenarios, and also represents the combustion temperature change trend curve before various interference conditions under various fire scenarios.

[0057] As an optimal solution, a curve of the change trend of the combustion temperature during the fire combustion process under various fire scenarios is drawn. The specific method is: a coordinate system is established with the sampling time point as the horizontal axis and the combustion temperature as the vertical axis. According to the combustion temperature at each sampling time point in the fire combustion process under various fire scenarios, the corresponding data points are marked in the coordinate system. The mathematical model establishment method is used to draw a curve of the change trend of the combustion temperature during the fire combustion process under various fire scenarios.

[0058] As a preferred solution, the method of drawing the changing trend curves of heat release rate, smoke particle concentration, and mass loss during fire combustion under various fire scenarios is based on the same principle as the method of drawing the changing trend curves of combustion temperature during fire combustion under various fire scenarios.

[0059] It should be noted that the present invention predicts the fire evolution model under various fire scenarios by monitoring the changing trends of combustion temperature, heat release rate, smoke particle concentration, and mass loss under various fire scenarios. It has a wider range of applications and strong flexibility. At the same time, it breaks through the limitations of single parameter measurement, reveals the evolution laws of various fire combustion parameters, and improves the data dimension of fire research.

[0060] Furthermore, the specific working process of the fire combustion dynamic simulation module also includes: adding interference conditions into the fire experiment platform simulation model to perform combustion simulation.

[0061] Output the combustion temperature, heat release rate, smoke particle concentration, and mass loss at each sampling time point during the fire combustion process after various interference conditions in various fire scenarios, and draw the changing trend curves of the combustion temperature, heat release rate, smoke particle concentration, and mass loss after various interference conditions in various fire scenarios.

[0062] As a preferred solution, the method of drawing the changing trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss after various interference conditions in various fire scenarios is based on the same principle as the method of drawing the changing trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss before various interference conditions in various fire scenarios.

[0063] Furthermore, the specific working process of the fire combustion dynamic simulation module also includes: comparing the combustion temperature change trend curves before and after the various interference conditions in various fire scenes, obtaining the maximum longitudinal distance between the combustion temperature change trend curves before and after the various interference conditions in various fire scenes, recording it as the combustion temperature drift under the various interference conditions in various fire scenes, and expressing it as , Indicates the The number of the fire scene, , Indicates the The number of interference conditions, .

[0064] The heat release rate, smoke particle concentration, and mass loss trend curves before and after the effects of various interference conditions in various fire scenes were compared to obtain the drift of heat release rate, smoke particle concentration, and mass loss under various interference conditions in various fire scenes, which were recorded as .

[0065] Furthermore, the specific working process of the fire combustion dynamic simulation module also includes: according to the combustion temperature drift amount of various interference conditions under various fire scenes, , heat release rate drift , smoke particle concentration drift , mass loss drift Analyze the influence of various interference conditions under various fire scenarios. The calculation formula for the influence of interference conditions is: ,in Indicates the Fire scene The degree of influence of the interference conditions, They respectively represent the thresholds of the preset combustion temperature drift, heat release rate drift, smoke particle concentration drift, and mass loss drift.

[0066] It should be noted that the calculation formula for the degree of influence of interference conditions is Indicates the Fire scene The degree of influence of various interference conditions is an indicator that comprehensively reflects the influence of interference conditions on fire-related parameters; the combustion temperature drift Indicates the change in combustion temperature due to interference conditions; heat release rate drift It reflects the influence of interference conditions on the change of fire heat release per unit time; the drift of smoke particle concentration Represents the effect of interference conditions on the change of smoke concentration caused by fire; mass loss drift Reflect the influence of interference conditions on the mass reduction of objects in fire; They are the preset thresholds of combustion temperature drift, heat release rate drift, smoke particle concentration drift, and mass loss drift, which serve as comparison benchmarks to measure the relative size of actual drift and eliminate dimensional differences through normalization.

[0067] It is important to note that the formula for calculating the impact of interference conditions eliminates dimensional differences through normalization and linear superposition, effectively quantifying the combined impact of fire interference conditions. This approach, which comprehensively calculates the drift of multiple fire-related parameters, overcomes the limitation of a single parameter in fully reflecting the impact of interference conditions in actual fire scenarios. By comprehensively considering multiple key parameters, the impact of different interference conditions in various fire scenarios can be more comprehensively and accurately assessed, contributing to a deeper understanding of fire development patterns and the mechanisms of interference factors.

[0068] It should be noted that, by collecting multiple sets of specific numerical data of combustion temperature drift, heat release rate drift, smoke particle concentration drift, and mass loss drift under various interference conditions in various fire scenes, and performing simulation calculations through the calculation formula of the influence degree of interference conditions, a feasible simulation process is assumed to be a single fire scene and a single interference condition. The preset thresholds of combustion temperature drift, heat release rate drift, smoke particle concentration drift, and mass loss drift are all manually set at the beginning of system operation. In this embodiment, Take the value of 50°C, The value is 100kW. The value is 0.1g / m³, Taking the value of 5kg, we can get the simulation results. Please refer to Table 1 for details, which lists some representative data.

[0069] Table 1. Drift and calculation results of some collected combustion temperature, heat release rate, smoke particle concentration, and mass loss

[0070]

[0071] Through the above simulation calculations, It can comprehensively reflect the relative influence of each parameter. For example: In scenario 2-condition 1, (110kW) and (0.12g / m³) exceeds the corresponding threshold, resulting in , which is significantly higher than other interference conditions, indicating that this interference condition has a greater impact on the heat release rate and smoke particle concentration. ,Since all parameters are close to or exceed the corresponding thresholds, it shows that the comprehensive impact of this interference condition is the greatest.

[0072] It should be noted that the present invention can dynamically simulate the coupled interference of multiple interference factors and the synergistic effect of multiple means in real fire extinguishing scenarios by analyzing the influence of various interference conditions in various fire scenarios, providing a scientific basis for optimizing fire extinguishing strategies.

[0073] The fire combustion entity experiment module uses a fire experiment platform to conduct combustion entity experiments, collects combustion data before and after various interference conditions in various fire scenarios, and analyzes the actual fire evolution model and the influence degree of various interference conditions in various fire scenarios.

[0074] Furthermore, the specific working process of the fire combustion entity experiment module is: conducting a combustion entity experiment through a fire experiment platform, using sensors to collect the combustion temperature, heat release rate, smoke particle concentration, and mass loss at each sampling time point in the fire combustion process before and after various interference conditions in various fire scenarios, drawing the changing trend curves of the combustion temperature, heat release rate, smoke particle concentration, and mass loss before and after various interference conditions in various fire scenarios, and analyzing the actual fire evolution model and the influence degree of various interference conditions in various fire scenarios.

[0075] As a preferred solution, the method of analyzing the actual fire evolution model and the influence degree of various interference conditions under various fire scenarios is based on the same principle as the method of predicting the fire evolution model and the influence degree of various interference conditions under various fire scenarios.

[0076] The simulation model accuracy evaluation module compares the combustion simulation results with the combustion entity experiment results to evaluate the prediction accuracy of the fire experiment platform simulation model.

[0077] Furthermore, the specific working process of the simulation model accuracy evaluation module includes: comparing the predicted change trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss during fire combustion under various fire scenarios with the actual change trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss during fire combustion under various fire scenarios, and obtaining the shape similarity and overlap of the change trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss during fire combustion under various fire scenarios, and performing average value calculations respectively to obtain the average shape similarity and average overlap of the change trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss.

[0078] The weighted average of the average shape similarity of the trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss was calculated to obtain the first factor of the fire evolution model prediction accuracy.

[0079] The weighted average of the average overlap of the trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss was calculated to obtain the second factor of the fire evolution model prediction accuracy.

[0080] The first factor and the second factor of the fire evolution model prediction accuracy are accumulated to obtain the fire evolution model prediction accuracy.

[0081] Furthermore, the specific working process of the simulation model accuracy evaluation module also includes: comparing the predicted influence degree of various interference conditions under various fire scenarios with the actual influence degree of various interference conditions under various fire scenarios, obtaining the relative deviation of the influence degree of various interference conditions under various fire scenarios, and recording it as , calculated by the formula Analyze the impact of interference conditions on prediction accuracy ,in Indicates the preset The weight factor of the fire scene, Indicates the preset The weight factor of the interference condition, A threshold indicating the relative deviation of the impact of the preset interference condition.

[0082] The prediction accuracy of the fire evolution model and the prediction accuracy of the interference conditions were calculated by weighted average to obtain the prediction accuracy of the fire experimental platform simulation model.

[0083] It should be noted that the present invention builds a fire experiment platform simulation model through parametric modeling, previews the effects of various fire scenarios and interference conditions, and evaluates the accuracy of the simulation model based on the actual fire combustion experiment, which is beneficial to the optimization of the simulation model and the improvement of the reliability of the model. The combination of actual experiments and virtual simulation can significantly improve the efficiency, accuracy and safety of fire research.

[0084] The database stores characteristic information of the fire experiment platform.

[0085] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A fire behavior dynamic simulation and interference experimental analysis platform, characterized by: include: Simulation model building module: Based on the characteristic information of the fire test platform, use simulation software to build a proportional simulation model of the fire test platform; Fire combustion dynamic simulation module: Set fire scenarios and interference conditions in the fire experiment platform simulation model to perform combustion simulation, output combustion temperature, heat release rate, smoke particle concentration, mass loss combustion data before and after the action of various interference conditions in various fire scenarios, and predict the fire evolution model and the impact of various interference conditions in various fire scenarios; Fire combustion physical experiment module: Use the fire experiment platform to conduct combustion physical experiments, collect combustion data before and after the effects of various interference conditions in various fire scenarios, and analyze the actual fire evolution model and the impact of various interference conditions in various fire scenarios; Simulation model accuracy evaluation module: compares the combustion simulation results with the combustion entity test results to evaluate the prediction accuracy of the fire test platform simulation model; Database: stores characteristic information of the fire experiment platform.

2. A fire behavior dynamic simulation and interference experimental analysis platform according to claim 1, characterized in that: The specific working process of the simulation model building module is as follows: The fire behavior dynamic simulation and interference research platform is recorded as the fire experiment platform. The characteristic information of the fire experiment platform stored in the database is extracted, where the characteristic information includes platform layout information, geometric parameter information, material property information, and boundary condition information. The fire dynamics simulation software is further used to build a simulation model with the same proportion as the fire experiment platform.

3. The fire behavior dynamic simulation and interference experimental analysis platform according to claim 1 is characterized by: The specific working process of the fire combustion dynamic simulation module includes: The fire source type, fire source location, internal temperature and humidity, and vent opening status are used as variables for the fire scene, and multiple adjustments and settings are performed to obtain various fire scenes. The types of interference sources and their control parameters are used as variables of interference conditions. The types of interference sources include mechanical disturbances, airflow disturbances, and fire extinguishing agent injection. The control parameters of interference sources include interference intensity, frequency, duration, and spatial distribution. By combining the types of interference sources and adjusting the control parameters of the interference sources, various interference conditions are obtained.

4. The fire behavior dynamic simulation and interference experimental analysis platform according to claim 1 is characterized by: The specific working process of the fire combustion dynamic simulation module also includes: Set up a fire scene in the fire experiment platform simulation model to perform combustion simulation; According to the preset equal time interval principle, various sampling time points are set during the fire combustion process, and various temperature detection points are arranged on the fire experiment platform; Output the temperature of each temperature detection point in the fire test platform at each sampling time point during the fire combustion process under various fire scenarios. Use the highest temperature of the temperature detection point in the fire test platform as the combustion temperature corresponding to the sampling time point. Obtain the combustion temperature at each sampling time point during the fire combustion process under various fire scenarios. Draw a trend curve of the combustion temperature during the fire combustion process under various fire scenarios and record it as the combustion temperature change trend curve before the various interference conditions act under various fire scenarios. Output the heat release rate, smoke particle concentration, and mass loss at each sampling time point during the fire combustion process under various fire scenarios, and draw the trend curves of the heat release rate, smoke particle concentration, and mass loss during the fire combustion process under various fire scenarios. Record them as the trend curves of the heat release rate, smoke particle concentration, and mass loss before the effects of various interference conditions under various fire scenarios; According to the changing trend curves of combustion temperature, heat release rate, smoke particle concentration and mass loss during the fire combustion process under various fire scenarios, fire evolution models under various fire scenarios are constructed.

5. The fire behavior dynamic simulation and interference experimental analysis platform according to claim 4 is characterized by: The specific working process of the fire combustion dynamic simulation module also includes: Add interference conditions to the fire test platform simulation model to perform combustion simulation; Output the combustion temperature, heat release rate, smoke particle concentration, and mass loss at each sampling time point during the fire combustion process after various interference conditions in various fire scenarios, and draw the changing trend curves of the combustion temperature, heat release rate, smoke particle concentration, and mass loss after various interference conditions in various fire scenarios.

6. The fire behavior dynamic simulation and interference experimental analysis platform according to claim 5 is characterized by: The specific working process of the fire combustion dynamic simulation module also includes: The combustion temperature variation trend curves before and after the various interference conditions under various fire scenes are compared to obtain the maximum longitudinal distance between the combustion temperature variation trend curves before and after the various interference conditions under various fire scenes. This distance is recorded as the combustion temperature drift under various interference conditions under various fire scenes and expressed as , Indicates the The number of the fire scene, , Indicates the The number of interference conditions, ; The heat release rate, smoke particle concentration, and mass loss trend curves before and after the effects of various interference conditions in various fire scenes were compared to obtain the drift of heat release rate, smoke particle concentration, and mass loss under various interference conditions in various fire scenes, which were recorded as .

7. The fire behavior dynamic simulation and interference experimental analysis platform according to claim 6, characterized in that: The specific working process of the fire combustion dynamic simulation module also includes: Combustion temperature drift according to various interference conditions in various fire scenarios , heat release rate drift , smoke particle concentration drift , mass loss drift Analyze the influence of various interference conditions under various fire scenarios. The calculation formula for the influence of interference conditions is: ,in Indicates the Fire scene The degree of influence of the interference conditions, They respectively represent the thresholds of the preset combustion temperature drift, heat release rate drift, smoke particle concentration drift, and mass loss drift.

8. The fire behavior dynamic simulation and interference experimental analysis platform according to claim 7 is characterized by: The specific working process of the fire combustion entity experiment module is as follows: Combustion physical experiments are conducted on a fire experiment platform. Sensors are used to collect the combustion temperature, heat release rate, smoke particle concentration, and mass loss at each sampling time point during the fire combustion process before and after the action of various interference conditions in various fire scenarios. Trend curves of the combustion temperature, heat release rate, smoke particle concentration, and mass loss before and after the action of various interference conditions in various fire scenarios are plotted, and the actual fire evolution models and the degree of influence of various interference conditions in various fire scenarios are analyzed.

9. The fire behavior dynamic simulation and interference experimental analysis platform according to claim 8, characterized in that: The specific working process of the simulation model accuracy assessment module includes: The predicted trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss during fire combustion under various fire scenarios are compared with the actual trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss during fire combustion under various fire scenarios, and the shape similarity and overlap of the trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss during fire combustion under various fire scenarios are obtained. The average values are calculated to obtain the average shape similarity and average overlap of the trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss; The weighted average of the average shape similarity of the trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss is calculated to obtain the first factor of the fire evolution model prediction accuracy; The weighted average of the average overlap of the trend curves of combustion temperature, heat release rate, smoke particle concentration, and mass loss is calculated to obtain the second factor of the fire evolution model prediction accuracy; The first factor and the second factor of the fire evolution model prediction accuracy are accumulated to obtain the fire evolution model prediction accuracy.

10. The fire behavior dynamic simulation and interference experimental analysis platform according to claim 9, characterized in that: The specific working process of the simulation model accuracy assessment module also includes: The predicted influence of various interference conditions under various fire scenarios is compared with the actual influence of various interference conditions under various fire scenarios to obtain the relative deviation of the influence of various interference conditions under various fire scenarios, which is recorded as , calculated by the formula Analyze the impact of interference conditions on prediction accuracy ,in Indicates the preset The weight factor of the fire scene, Indicates the preset The weight factor of the interference condition, A threshold indicating the relative deviation of the influence degree of the preset interference condition; The prediction accuracy of the fire evolution model and the prediction accuracy of the interference conditions were calculated by weighted average to obtain the prediction accuracy of the fire experimental platform simulation model.

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