Experimental Device and Method for Simulating Multiple Climate Parameters and Analyzing Fire Spread with Data
By providing an experimental device for simulating multi-climatic parameters and data analysis of fire spread, the problem that traditional research is difficult to simulate fire spreading behavior in different climate environments is solved, and accurate simulation and data collection of fire spreading behavior under multiple climate parameters is achieved, scientific basis and technical support are provided to help reveal the mechanism of fire spreading and predict fire development trends.
Patent Information
- Application Number
- CN202510228863.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-28
- Publication Date
- 2025-06-10
- Estimated Expiration
- 2045-02-28
AI Technical Summary
Traditional forest combustible fire spread research is mostly limited to normal temperature and humidity environments, and it is difficult to simulate fire spreading behavior in different climates. In addition, relevant experimental devices have shortcomings in the accuracy, stability of environmental simulation, data collection, processing and analysis, and cannot achieve effective utilization of experimental data.
Provide a fire spread experimental device that simulates multi-climate parameters and data analysis, including a multi-climate parameter simulation system, a fire spread behavior research system and a data acquisition and control system. The device can simulate a variety of climate parameters, such as temperature, humidity, wind speed and gas composition, and monitor and record climate parameter data and fire spread behavior data in real time through the data acquisition module to establish a prediction model to predict the fire spread speed.
Accurate simulation and data collection of fire spreading behavior under multiple climate parameters is achieved, scientific basis and technical support is provided, helping to reveal the mechanism of fire spreading, predict fire development trends, and formulate effective prevention and control strategies.
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Figure CN119715908B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of forest combustible fire spread research, and in particular to an experimental device and method for simulating multiple climate parameters and data analysis of fire spread. Background Technique
[0002] In the fields of forestry and agriculture, the fire risk under extreme climate conditions has increased significantly. In particular, the complexity and unpredictability of forest combustible fire spread behavior pose a huge challenge to the protection of forest resources and agricultural production.
[0003] Traditional forest combustible fire spread research is mostly limited to normal temperature and humidity environments, making it difficult to simulate fire spread behavior under different climate environments and lacking in-depth exploration of fire spread behavior under different extreme climate conditions. In addition, there are also many deficiencies in the accuracy, stability, processing, and analysis of relevant experimental devices in environmental simulation, and the effective utilization of experimental data cannot be achieved. This limitation results in a lack of scientific theoretical guidance and effective prevention and control measures when dealing with fires caused by extreme climates.
[0004] Therefore, developing an experimental device for simulating multiple climate parameters and data analysis of fire spread is of great significance for revealing the mechanism of fire spread under multiple climate parameter conditions, predicting the development trend of fires, and formulating effective prevention and control strategies. Summary of the Invention
[0005] In view of this, the present invention provides an experimental device and method for simulating multiple climate parameters and data analysis of fire spread.
[0006] To achieve the above object, the technical solution of the present invention is as follows:
[0007] As an aspect of the present invention, an experimental device for simulating multiple climate parameters and data analysis of fire spread is provided. The device includes: a multiple climate parameter simulation system, including a heat preservation wall module for enclosing an experimental space for simulating multiple climate parameters; a fire spread behavior research system located in the experimental space for placing forest combustibles, and the forest combustibles exhibit fire spread behavior after being ignited; a data acquisition and control system, including: a data acquisition module located in the experimental space for acquiring climate parameter data of the experimental space and fire spread behavior data of the forest combustibles, wherein the fire spread behavior data is used to determine the fire spread speed data of the forest combustibles; a prediction model establishment module for fitting a prediction model based on fire spread variable data and fire spread speed data, and the prediction model is used to predict the fire spread speed under the influence of a single fire spread variable and the cross-influence of at least two fire spread variables, wherein the fire spread variable data includes climate parameter data.
[0008] According to an embodiment of the present invention, the climate parameter data includes at least one of temperature parameter, humidity parameter, gas parameter, and wind speed parameter.
[0009] According to an embodiment of the present invention, the fire spread variable data further includes at least one of forest fuel oxygen index, forest fuel load, forest fuel size, and forest terrain slope.
[0010] According to an embodiment of the present invention, the prediction model is established based on the following formula (4).
[0011] Formula (4).
[0012] Wherein, R is the fire spread speed, β 0 is a constant, β i is the coefficient of the i-th fire spread variable, β ij is the cross coefficient of the i-th fire spread variable and the j-th fire spread variable, x i is the value of the i-th fire spread variable, x j is the value of the j-th fire spread variable, and n is the number of fire spread variables.
[0013] According to an embodiment of the present invention, the fire spread behavior research system includes an experimental platform, which includes a plurality of lifting modules and a movable platform installed above the plurality of lifting modules; wherein, the plurality of lifting modules are used to independently lift or lower the movable platform to simulate the forest terrain slope.
[0014] According to an embodiment of the present invention, the fire spread behavior research system includes a sample support module, which is installed on the experimental platform and includes a sample platform and a movable sample bracket for supporting the sample platform; wherein, the sample platform is used to install forest fuel, and the movable sample bracket is used to move the sample platform to adjust the position of the sample platform.
[0015] According to an embodiment of the present invention, the sample platform is provided with a plurality of reserved holes for installing a plurality of sample temperature sensors and making the temperature sensing areas of the plurality of sample temperature sensors contact the forest fuel.
[0016] According to an embodiment of the present invention, the fire spread behavior data includes the temperature data of the forest fuel and the fire spread behavior image data of the forest fuel.
[0017] According to an embodiment of the present invention, the data acquisition module includes a climate parameter sensor, a sample temperature sensor, and a photographing module; wherein, the climate parameter sensor is used to acquire the climate parameter data of the experimental space, the sample temperature sensor is used to acquire the temperature data of the forest fuel, and the photographing module is used to photograph the fire spread behavior of the forest fuel to obtain the fire spread behavior image data.
[0018] According to an embodiment of the present invention, the temperature data of the forest combustibles includes the position and time when the sample temperature sensor reaches the highest temperature during the process of contacting the flame, and the fire spread behavior image data includes the position and time when the flame contacts the sample temperature sensor.
[0019] According to an embodiment of the present invention, the data acquisition and control system further includes a data processing module for obtaining the fire spread speed data of the forest combustibles based on the fire spread behavior data.
[0020] According to an embodiment of the present invention, obtaining the fire spread speed data of the forest combustibles based on the fire spread behavior data includes: determining the fire spread speed of the forest combustibles according to the position and time when the sample temperature sensor reaches the highest temperature during the process of contacting the flame, and the position and time when the flame contacts the sample temperature sensor in the fire spread behavior image data.
[0021] According to an embodiment of the present invention, the multi-climate parameter simulation system further includes a climate parameter regulation module for regulating the climate parameters of the experimental space according to the instructions of the data acquisition and control system.
[0022] According to an embodiment of the present invention, the data acquisition and control system further includes a control module for sending instructions to the multi-climate parameter simulation system according to the climate parameter data collected by the data acquisition module.
[0023] According to an embodiment of the present invention, the shooting module includes a slide rail and a camera device movable along the slide rail, and is used for shooting the fire spread behavior of the forest combustibles to obtain the fire spread behavior image data.
[0024] As an aspect of the present invention, there is also provided a method for conducting a fire spread experiment on forest combustibles under extreme climate, and the method includes: using the above-mentioned simulation multi-climate parameter and data analysis fire spread experiment device to conduct a fire spread experiment on the forest combustibles to be tested.
[0025] It can be seen from the above technical solutions that the simulation multi-climate parameter and data analysis fire spread experiment device and method of the present invention have at least one or a part of the following beneficial effects.
[0026] The experimental device for simulating multi - element climate parameters and analyzing wildfire spread provided by the embodiments of the present invention can simulate multi - element climate parameters and has the capabilities of data acquisition, processing, and analysis. The multi - element climate parameter simulation system composed of heat - insulating wall modules can achieve precise control of various climate parameters; the wildfire spread behavior research system can be used to place forest combustibles, and wildfire spread behavior occurs after the forest combustibles are ignited; the data acquisition module can monitor and record the climate parameter data in the experimental space and the wildfire spread behavior data of forest combustibles in real - time; the prediction model establishment module can fit a prediction model based on wildfire spread variable data and wildfire spread speed data. This prediction model can be used to predict the wildfire spread speed under the influence of a single wildfire spread variable and the cross - influence of at least two wildfire spread variables, providing guidance for predicting the wildfire spread behavior of forest combustibles. The multi - element climate parameter simulation system, the wildfire spread behavior research system, and the data acquisition and control system provide strong technical support for the research on the wildfire spread behavior of forest combustibles under multi - element climate parameters, especially extreme climate conditions.
[0027] The experimental method for simulating wildfire spread with multi - element climate parameter analysis provided by the present invention can conduct simulation experiments on wildfire spread behavior under multi - element climate parameters, and can also perform data acquisition, processing, and analysis, providing a scientific basis and technical support for revealing the mechanism of wildfire spread under multi - element climate parameters and predicting the development trend of fires under multi - element climate parameters. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] Figure 1 Shows the structural block diagram of the experimental device for simulating multi - element climate parameters and analyzing wildfire spread according to an embodiment of the present invention;
[0029] Figure 2A Shows the external view of the experimental device for simulating multi - element climate parameters and analyzing wildfire spread according to an embodiment of the present invention;
[0030] Figure 2B Shows a perspective view of the experimental device for simulating multi - element climate parameters and analyzing wildfire spread according to an embodiment of the present invention from one angle;
[0031] Figure 2C Shows a perspective view of the experimental device for simulating multi - element climate parameters and analyzing wildfire spread according to an embodiment of the present invention from another angle;
[0032] Figure 3A Shows a schematic diagram of simulating the forest terrain slope using an experimental platform according to the first embodiment of the present invention;
[0033] Figure 3B Shows a schematic diagram of simulating the forest terrain slope using an experimental platform according to the second embodiment of the present invention;
[0034] Figure 3CShows a schematic diagram of simulating the forest terrain slope using an experimental platform according to the third embodiment of the present invention;
[0035] Figure 3D Shows a schematic diagram of simulating the forest terrain slope using an experimental platform according to the fourth embodiment of the present invention;
[0036] Figure 3E Shows a schematic diagram of simulating the forest terrain slope using an experimental platform according to the fifth embodiment of the present invention;
[0037] Figure 3F Shows a schematic diagram of simulating the forest terrain slope using an experimental platform according to the sixth embodiment of the present invention;
[0038] Figure 4 Shows a structural schematic diagram of a sample support module according to an embodiment of the present invention;
[0039] Figure 5 Shows a structural block diagram of a data acquisition and control system according to an embodiment of the present invention;
[0040] In the above-mentioned drawings, the meanings of the reference numerals are specifically as follows:
[0041] 100 - Multi - climate parameter simulation system;
[0042] 110 - Thermal insulation wall;
[0043] 111 - Exhaust unit;
[0044] 112 - Inlet and outlet;
[0045] 113 - Visual window;
[0046] 120 - Heating radiation plate;
[0047] 130 - S - type heat transfer and ventilation duct;
[0048] 140 - Fan;
[0049] 150 - Dry ice addition unit;
[0050] 160 - Gas cylinder;
[0051] 170 - Gas transmission pipeline;
[0052] 200 - Fire spread behavior research system;
[0053] 210 - Lifting module;
[0054] 220 - Moving platform;
[0055] 221 - Metal wedge;
[0056] 230 - Sample platform;
[0057] 240 - Removable sample holder;
[0058] 250 - Ignition module;
[0059] 251 - Removable ignition source holder;
[0060] 252 - Ignition source;
[0061] 300 - Data acquisition and control system;
[0062] 310 - Data acquisition module;
[0063] 311 - Sample temperature sensor;
[0064] 312 - Slide rail;
[0065] 313 - Imaging device
[0066] 320 - Control module;
[0067] 321 - Terminal control device;
[0068] 330 - Data processing module;
[0069] 340 - Prediction model establishment module;
[0070] 400 - Movement module. Detailed implementation manners
[0071] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In the following detailed description, for the sake of explanation, many specific details are set forth in order to provide a comprehensive understanding of the embodiments of the present invention. However, obviously, one or more embodiments can also be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts of the present invention.
[0072] The terms used herein are merely for describing specific embodiments and are not intended to limit the present invention. The term "including" used herein indicates the presence of features, steps, operations, but does not exclude the presence or addition of one or more other features.
[0073] In the case of using expressions such as "at least one of A, B, and C, etc.", generally, it should be interpreted according to the meaning that those skilled in the art usually understand this expression (for example, "a system having at least one of A, B, and C" should include but not be limited to a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.). In the case of using expressions such as "at least one of A, B, or C, etc.", generally, it should be interpreted according to the meaning that those skilled in the art usually understand this expression (for example, "a system having at least one of A, B, or C" should include but not be limited to a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.).
[0074] Traditional studies on forest fuel fire spread have been mostly limited to normal temperature and humidity environments, lacking in-depth exploration of multiple climate parameters, especially fire spread behaviors under different extreme climate conditions. In related technologies, attempts have been made to simulate fire spread behaviors under different climate environments by changing experimental conditions, but most of these studies are limited to changes in a single climate factor and are difficult to comprehensively reflect the complexity and diversity of extreme climate conditions. In addition, there are also many deficiencies in the accuracy and stability of environmental simulation, as well as the collection, processing, and analysis of experimental data in related experimental devices, making it impossible to effectively utilize experimental data and difficult to meet the needs of scientific research and practical applications.
[0075] Therefore, there is an urgent need for a physical experimental device for forest fuel fire spread that can comprehensively and accurately simulate multiple climate parameters, especially extreme climate environments, and has efficient data collection, processing, and analysis capabilities. This device should be able to precisely control multiple climate factors such as high temperature, low temperature, humidity, and gas composition, as well as real-time monitor and record key parameters such as fire spread speed and temperature distribution during the fire spread process, providing strong technical support for the study of forest fuel fire spread behaviors under multiple climate parameters, especially extreme climate conditions.
[0076] In view of this, the present invention provides a fire spread experimental device for simulating multiple climate parameters and data analysis, which can simulate a combustion environment with changes in multiple extreme climate parameters such as extreme temperature, humidity, wind speed, and different gas contents. Figure 1 The structural block diagram of the fire spread experimental device for simulating multiple climate parameters and data analysis according to an embodiment of the present invention is shown. As Figure 1 shown, the fire spread experimental device for simulating multiple climate parameters and data analysis includes a multiple climate parameter simulation system 100, a fire spread behavior research system 200, and a data collection and control system 300.
[0077] The multi-climate parameter simulation system 100 includes a heat-insulating wall module, which is used to enclose an experimental space for simulating multi-climate parameters.
[0078] The fire spread behavior research system 200 is located in the experimental space and is used to place forest combustibles. The forest combustibles will exhibit fire spread behavior after being ignited.
[0079] The data acquisition and control system 300 includes a data acquisition module and a prediction model establishment module.
[0080] Among them, the data acquisition module is located in the experimental space and is used to acquire the climate parameter data of the experimental space and the fire spread behavior data of the forest combustibles. Among them, the fire spread behavior data is used to determine the fire spread speed data of the forest combustibles.
[0081] The prediction model establishment module is used to fit a prediction model based on the fire spread variable data and the fire spread speed data. The prediction model is used to predict the fire spread speed under the influence of a single fire spread variable and the cross-influence of at least two fire spread variables. Among them, the fire spread variable data includes the climate parameter data.
[0082] The experimental device for simulating multi-climate parameters and analyzing fire spread provided by the embodiments of the present invention can simulate multi-climate parameters and has the capabilities of data acquisition, processing, and analysis. The multi-climate parameter simulation system 100 composed of the heat-insulating wall module can achieve precise control of various climate parameters; the fire spread behavior research system 200 can be used to place forest combustibles, and the forest combustibles will exhibit fire spread behavior after being ignited; the data acquisition module can monitor and record the climate parameter data of the experimental space and the fire spread behavior data of the forest combustibles in real time; the prediction model establishment module can fit a prediction model based on the fire spread variable data and the fire spread speed data, and this prediction model can be used to predict the fire spread speed under the influence of a single fire spread variable and the cross-influence of at least two fire spread variables, providing guidance for predicting the fire spread behavior of forest combustibles. The multi-climate parameter simulation system 100, the fire spread behavior research system 200, and the data acquisition and control system 300 provide strong technical support for the research on the fire spread behavior of forest combustibles under multi-climate parameters, especially extreme climate conditions.
[0083] Next, refer to Figures 2A to 2C 、 Figures 3A to 3F 、 Figure 4 and Figure 5 to further illustrate the experimental device for simulating multi-climate parameters and analyzing fire spread shown in Figure 1 in combination with specific embodiments.
[0084] Among them, Figure 2A shows the external view of the experimental device for simulating multi-climate parameters and analyzing fire spread according to the embodiments of the present invention.Figure 2B Fig. 1 shows a perspective view of the simulated multi - climate parameter and data - analysis fire spread experimental device according to an embodiment of the present invention. Figure 2C Fig. 2 shows a perspective view of the simulated multi - climate parameter and data - analysis fire spread experimental device from another angle according to an embodiment of the present invention.
[0085] As Figures 2A to 2C shown, the thermal insulation wall module can be composed of the thermal insulation wall 110. Any thermal insulation wall 110 with thermal insulation and flame - retardant functions can form the thermal insulation wall module of the embodiment of the present invention, and the present invention does not limit the structure of the thermal insulation wall 110. For example, the thermal insulation wall 110 can be composed of a three - layer structure of "metal plate - flame - retardant and heat - insulating material - metal plate". Specifically, it can adopt a three - layer structure of "iron plate - flame - retardant and heat - insulating material - iron plate".
[0086] According to an embodiment of the present invention, the thermal insulation wall module may further include an exhaust unit 111, which is suitable for controlling the isolation or connection between the experimental space and the outside of the experimental space. During the experiment, the exhaust unit 111 can be in a closed state, and can be in an open state after the experiment ends. The thermal insulation wall module may further include an entrance / exit 112 to facilitate the entry and exit of operators.
[0087] According to an embodiment of the present invention, the multi - climate parameter simulation system 100 further includes a climate parameter regulation module for regulating the climate parameters of the experimental space according to the instructions of the data acquisition and control system. The climate parameter regulation module can include one or more of a first temperature regulation module, a second temperature regulation module, a humidity regulation module, and a gas flow regulation module. For example, the climate parameter regulation module can include a first temperature regulation module, a second temperature regulation module, a humidity regulation module, and a gas flow regulation module.
[0088] Among them, as Figures 2A to 2C shown, the first temperature regulation module can include a heating radiation plate 120 for regulating a high - temperature environment of 10°C to 50°C, especially an extreme high - temperature environment exceeding 40°C in the experimental space. For example, it can form a high - temperature environment of 10°C, 20°C, 30°C, 40°C, or 50°C in the experimental space. The first temperature regulation module can be paired with an ambient temperature sensor to regulate the ambient temperature of the experimental space.
[0089] The second temperature control module may include an S-shaped heat transfer ventilation duct 130, a fan 140, and a dry ice addition unit 150, which are used to control the formation of a low-temperature environment of -50°C to 0°C in the experimental space, especially an extremely low-temperature environment with a temperature below -30°C. For example, a low-temperature environment of -50°C, -40°C, -30°C, -20°C, -10°C, or 0°C can be formed in the experimental space. Specifically, the fan 140 conveys the cold quantity provided by the dry ice addition unit 150 to the S-shaped heat transfer ventilation duct 130, and heat exchange is carried out between the S-shaped heat transfer ventilation duct 130 and the experimental space. The second temperature control module can be paired with an ambient temperature sensor to control the ambient temperature of the experimental space. The second temperature control module can exchange heat with the experimental space by controlling the dry ice addition amount and the conveying power of the fan 140.
[0090] According to an embodiment of the present invention, the cold quantity exchange model can be calculated using the following formula (1).
[0091] Formula (1).
[0092] Where, W gb is the cold quantity provided by dry ice; c is the specific heat capacity of the gas in the experimental space; m is the mass of the gas in the experimental space; and Δt is the temperature difference dropped in the experimental space.
[0093] The humidity control module may include a moisture delivery system (not shown in the figure), which is used to control the humidity parameters of the experimental space. For example, the humidity of the experimental space can be controlled by a humidifier or a moisture delivery pipe to form a humidity environment of 5% to 95% in the experimental space, especially dry air with a humidity below 30% and extremely humid air with a humidity exceeding 70%. Exemplarily, a humidity environment of 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, or 95% can be formed in the experimental space. The humidity control module can be paired with a humidity sensor to control the humidity of the experimental space.
[0094] The gas flow control module includes a gas cylinder 160 and a gas delivery pipe 170, which are used to deliver gas to the experimental space to control the gas parameters. Specifically, the gas flow control module may include an oxygen gas cylinder and a carbon dioxide gas cylinder, which are used to deliver oxygen and carbon dioxide to the experimental space respectively to control the gas parameters, such as establishing extreme climate simulation environments such as "low oxygen" and "high carbon". Specifically, the "low oxygen" extreme climate simulation environment may be a simulation environment with an oxygen content below 19.5%, and the "high carbon" extreme climate simulation environment may be a simulation environment with a carbon dioxide content above 80.5%.
[0095] According to an embodiment of the present invention, the gas flow control module may further include a solenoid valve, and the solenoid valve can control the input of various gas flows.
[0096] According to an embodiment of the present invention, to simulate the fire spread behavior under different gas parameters, the content of each gas in the experimental space can be mainly adjusted by controlling the opening and closing of the gas cylinder 160. The gas concentration can be set with reference to formula (2).
[0097] Formula (2).
[0098] Wherein, W is the supply amount of the gas; V is the volume of the experimental space; C is the concentration of the preset gas; W 1 is the amount of gas already existing in the experimental space; W 2 is the amount of gas consumed by combustion.
[0099] According to an embodiment of the present invention, a protection plate can also be installed on the side of the S-shaped heat transfer ventilation duct 130 and the heating radiation plate 120 close to the experimental space.
[0100] Through the above multi-climate parameter simulation system 100, the experimental device for simulating multi-climate parameters and data analysis of the present invention can simulate extreme climate environments of high temperature, low temperature, humidity change, and different gas components (such as oxygen, carbon dioxide).
[0101] According to an embodiment of the present invention, the climate parameter regulation module can also include a wind speed regulation module for regulating the wind speed in the experimental space to form an environment with a wind speed of 0 m / s to 25 m / s in the experimental space, especially strong winds with a wind speed greater than 15 m / s. Exemplarily, the wind speed in the experimental space can be regulated by devices such as air conditioners and blowers, and the wind speed in the experimental space can be 0 m / s, 1 m / s, 2 m / s, 5 m / s, 8 m / s, 10 m / s, 12 m / s, 15 m / s, 18 m / s, 20 m / s, 22 m / s, 25 m / s, etc.
[0102] The experimental device for simulating multi - climate parameters and analyzing fire spread provided by the embodiments of the present invention can also be divided into different areas according to different functions. For example, it can include an experimental space for simulating multi - climate parameters, an equipment management area, and a terminal control area. A visual window 113 can be provided on the heat - insulating wall 110 between the experimental space for simulating multi - climate parameters and the terminal control area. The operators in the terminal control area can directly observe the fire spread behavior of forest combustibles through the visual window 113. The equipment management area can also be divided into a gas cylinder management sub - area, a dry - ice management sub - area, etc. The gases used in the experimental device for simulating multi - climate parameters and analyzing fire spread can be stored in the gas cylinder management area in the form of gas cylinders 160 and connected to the experimental space through pipelines; the dry - ice management area can be equipped with containers for storing dry - ice, connect the S - type heat - transfer ventilation duct 130 to the experimental space, provide the delivery of cold air through the fan 140, transfer the cold quantity to the climate simulation area through the outer wall of the S - type heat - transfer ventilation duct 130, and the other end of the S - type heat - transfer ventilation duct 130 can also be connected to the dry - ice management area to achieve the effect of gas circulation.
[0103] The experimental device for simulating multi - climate parameters and analyzing fire spread provided by the embodiments of the present invention can also include a moving module 400 for moving the position of the experimental device for simulating multi - climate parameters and analyzing fire spread.
[0104] According to an embodiment of the present invention, the fire spread behavior research system includes an experimental platform. In order to simulate the fire spread behavior under different forest terrains, the present invention designs an experimental platform with adjustable multi - angles, which can simulate different forest terrains through the settings of a lifting module 210 and a movable platform 220.
[0105] The following further refers to Figures 3A to 3F , and further illustrates the experimental platform in combination with specific embodiments.
[0106] Figure 3A FIG. shows a schematic diagram of simulating the slope of a forest terrain using the experimental platform according to the first embodiment of the present invention; Figure 3B FIG. shows a schematic diagram of simulating the slope of a forest terrain using the experimental platform according to the second embodiment of the present invention; Figure 3C FIG. shows a schematic diagram of simulating the slope of a forest terrain using the experimental platform according to the third embodiment of the present invention; Figure 3D FIG. shows a schematic diagram of simulating the slope of a forest terrain using the experimental platform according to the fourth embodiment of the present invention; Figure 3E FIG. shows a schematic diagram of simulating the slope of a forest terrain using the experimental platform according to the fifth embodiment of the present invention; Figure 3F FIG. shows a schematic diagram of simulating the slope of a forest terrain using the experimental platform according to the sixth embodiment of the present invention.
[0107] According to an embodiment of the present invention, the experimental platform includes a plurality of lifting modules 210 and a movable platform 220 installed above the plurality of lifting modules; wherein, the plurality of lifting modules 210 are used to independently lift or lower the movable platform 220 to simulate the slope of the forest terrain.
[0108] According to an embodiment of the present invention, the experimental platform may include a plurality of movable platforms 220 to simulate the slope of the forest terrain. For example, the angle between the plurality of movable platforms 220 can be lifted or lowered by the plurality of lifting modules 210 to simulate the slope of the forest terrain. Specifically, as Figures 3A to 3F shown, the experimental platform may have two movable platforms 220, and each movable platform 220 includes two lifting modules 210 below. At this time, the angle between the two movable platforms 220 can be lifted or lowered by 4 lifting modules 210, so that the two movable platforms 220 form different structures as shown in FIGS. 3A - 3F, such as a V - shape, etc., to simulate different forest terrains. For the V - shaped structure with an upward inclination angle, since there is a gap between the two movable platforms 220, a metal wedge 221 is used for filling, for example, an iron wedge can be used for filling.
[0109] According to an embodiment of the present invention, the surface of the movable platform 220 can be rough to prevent the combustibles from slipping. Other means can also be used to prevent the combustibles from slipping. For example, baffles can be provided on the surface of the movable platform 220.
[0110] According to an embodiment of the present invention, the fire spread behavior research system further includes a sample support module, which is installed on the experimental platform 210. Further reference will be made below Figure 4 to further illustrate the sample support module in combination with specific embodiments.
[0111] Figure 4 shows a schematic structural diagram of the sample support module according to an embodiment of the present invention.
[0112] As Figure 4 shown, the sample support module includes a sample platform 230 and a movable sample support 240 for supporting the sample platform; wherein, the sample platform 230 is used to install forest combustibles, and the movable sample support 240 is used to move the sample platform 230 to adjust the position of the sample platform 230.
[0113] According to an embodiment of the present invention, the movable sample support 240 is used to move the sample platform 230 to adjust the position of the sample platform 230. For example, the movable sample support 240 can move up and down and / or left and right. Moving up and down can adjust the positional relationship among the movable platform 220, the sample platform 230, and the shooting module, and moving left and right can be used to add different forest combustibles on the sample platform 230.
[0114] The present invention does not limit the connection manner between the movable sample holder 240 and the sample platform 230, and any manner capable of connecting the movable sample holder 240 and the movable sample platform 230 can be applied to the present invention. For example, the movable sample holder 240 and the sample platform 230 can be fixed by a threaded structure.
[0115] According to an embodiment of the present invention, the sample platform 230 may be provided with a plurality of reserved holes for installing a plurality of sample temperature sensors 311, and the temperature sensing areas of the plurality of sample temperature sensors 311 are in contact with the forest combustibles.
[0116] According to an embodiment of the present invention, the fire spread behavior research system 200 may further include: an ignition module 250, located on the movable platform 220, including a movable ignition source holder 251 and an ignition source 252 installed on the movable ignition source holder 251; wherein, the ignition source 252 is used for igniting the forest combustibles, and the movable ignition source holder 251 is used for moving the position of the ignition source 252.
[0117] The following further refers to Figure 5 , and further describes the data acquisition and control system 300 in combination with specific embodiments.
[0118] Figure 5 The block diagram of the data acquisition and control system 300 according to an embodiment of the present invention is shown.
[0119] As Figure 5 shown, the data acquisition and control system 300 may include a data acquisition module 310, a control module 320, a data processing module 330, and a prediction model establishment module 340.
[0120] According to an embodiment of the present invention, the data acquisition module 310 may include climate parameter sensors. Among them, the climate parameter sensors include one or more of an ambient temperature sensor, a humidity sensor, a gas sensor, and a wind speed sensor. The climate parameter data includes at least one of a temperature parameter, a humidity parameter, a gas parameter, and a wind speed parameter.
[0121] According to an embodiment of the present invention, the data acquisition module 310 includes sample temperature sensors 311. The number of the sample temperature sensors 311 may be multiple, and the multiple sample temperature sensors 311 are installed in the multiple reserved holes of the sample platform 230, so that the temperature sensing areas of the multiple sample temperature sensors 311 are in contact with the forest combustibles to collect the temperature data of the forest combustibles.
[0122] According to an embodiment of the present invention, the data acquisition module 310 may include a shooting module. As Figure 2BAs shown in the figure, the shooting module includes a slide rail 312 and a camera device 313 that can move along the slide rail 312, which is used to shoot the fire spreading behavior of forest combustibles and obtain fire spreading behavior image data.
[0123] According to an embodiment of the present invention, the data acquisition and control system 300 further includes a control module 320, which is used to issue instructions to the multi-climate parameter simulation system 100 according to the climate parameter data collected by the data acquisition module 310.
[0124] According to an embodiment of the present invention, the control module 320 can be located in the terminal control area and may include a terminal control device 321, such as a tablet computer, a desktop computer, etc. The terminal control device 321 can be equipped with the control module 320 and is connected to the environmental parameter sensor, the sample temperature sensor 311, the heating radiation plate 120, the fan 140, and the solenoid valve, etc. through wires. When the temperature in the experimental space reaches the preset high temperature, the control module 320 closes the heating radiation plate 120 through an instruction; when the temperature reaches the preset low temperature, the control module 320 closes the fan 140 for cold air delivery through an instruction; when the humidity in the climate simulation system reaches the preset value, the control module 320 closes the atomizing nozzle through an instruction, and vice versa.
[0125] According to an embodiment of the present invention, the control module 320 can be connected to the climate parameter sensor to convert the environmental data into electrical signals for visual display, and can also be connected to the climate parameter regulation module to control the environmental parameters in the experimental space to be in a dynamic balance state.
[0126] According to an embodiment of the present invention, the data acquisition and control system 300 may further include a data processing module 330, which is used to obtain the fire spreading speed data of forest combustibles according to the fire spreading behavior data.
[0127] In an optional implementation manner, the fire spreading behavior data includes fire spreading behavior image data. The fire spreading behavior image data includes the position and time when the flame contacts the sample temperature sensor 311. Obtaining the fire spreading speed data of forest combustibles according to the fire spreading behavior data includes: determining the fire spreading speed of forest combustibles according to the position and time when the flame contacts the sample temperature sensor 311.
[0128] In another optional implementation manner, the fire spreading behavior data includes the temperature data of forest combustibles. The temperature data of forest combustibles includes the position and time when the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame. Obtaining the fire spreading speed data of forest combustibles according to the fire spreading behavior data includes: determining the fire spreading speed of forest combustibles according to the position and time when the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame.
[0129] In another alternative embodiment, the fire spread behavior data includes the temperature data of forest combustibles and the fire spread behavior image data of forest combustibles. The temperature data of forest combustibles includes the position and time when the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame, and the fire spread behavior image data includes the position and time when the flame contacts the sample temperature sensor 311. Obtaining the fire spread speed data of forest combustibles according to the fire spread behavior data includes: determining the fire spread speed of forest combustibles according to the position and time when the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame, and the position and time when the flame contacts the sample temperature sensor 311 in the fire spread behavior image data.
[0130] According to an embodiment of the present invention, the imaging device 313 can transmit the fire spread behavior image data to the data processing module 330, and the sample temperature sensor 311 can transmit the temperature data of forest combustibles to the data processing module 330, so as to realize the two-way coupling self-check of the fire spread behavior image data and the temperature data of forest combustibles.
[0131] According to an embodiment of the present invention, by combining the fire spread behavior image data collected by the imaging device 313 and the temperature data of forest combustibles collected by the sample temperature sensor 311, it is no longer simply dependent on a certain data source to judge the fire spread behavior. The fire spread behavior image data can intuitively present the macroscopic situations such as the appearance changes of the fire scene and the form of flame spread, while the temperature data of forest combustibles accurately reflects the temperature change situations at different positions of the fire scene at the microscopic level. The two confirm each other, which can effectively reduce the influence of interference factors such as errors and noises that may exist in a single data source on the fire spread analysis, making the obtained information about the fire spread behavior more accurate and reliable, and also facilitating the subsequent more accurate derivation of the true fire spread speed.
[0132] According to an embodiment of the present invention, the two-way coupling self-check can be specifically established by formula (3).
[0133] Formula (3).
[0134] wherein, T sp is the time when the flame contacts the sample temperature sensor in the image data; T rd (i) is the time when the i-th sample temperature sensor reaches the highest temperature during the process of contacting the flame.
[0135] In deriving the true fire spread speed, it is difficult to accurately analyze the complex changes during the entire spread process relying solely on single data. Key node data such as the position and time when the flame contacts the sample temperature sensor 311 in the fire spread behavior image data, and the position and time when the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame can be used. By establishing the coupling relationship between the two, the changes in the fire spread speed at different stages and positions can be carefully analyzed. In some cases, for example, when there is a large amount of smoke generated by the combustion of forest combustibles, it may be impossible to observe the position and time when the flame contacts the sample temperature sensor 311 with the help of the fire spread behavior image data. At this time, the fire spread speed of the forest combustibles can be determined based on the position and time when the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame. In other cases, both the position and time when the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame and the position and time when the flame contacts the sample temperature sensor 311 in the fire spread behavior image data can be obtained relatively clearly. At this time, the fire spread speed data of the forest combustibles can be obtained based on the position and time when the flame contacts the sample temperature sensor 311 in the fire spread behavior image data; at the same time, the position and time when the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame can be corrected using the position and time when the flame contacts the sample temperature sensor 311 in the fire spread behavior image data.
[0136] In addition, in the data acquisition and control system 300, faults may occur in any link, whether it is the imaging device 313, the sample temperature sensor 311, or their related data transmission modules. The present invention can timely detect abnormal data by comparing the data correlation between the temperature data of the forest combustibles and the fire spread behavior image data of the forest combustibles, and then determine which device or transmission link has problems.
[0137] The fire scene environment is often complex and changeable, and factors such as different forest combustibles, ventilation conditions, and forest terrain will all affect the fire spread behavior. The data processing module 330 provided by the present invention adaptively adjusts the judgment and analysis of fire scene behaviors such as the fire spread speed according to the real-time feedback of the temperature data and the fire spread behavior image data. If the environment changes, such as a sudden change in wind direction leading to a change in the fire spread direction, and the sample temperature sensor 311 does not recognize the change in temperature data, the fire spread behavior image data captured by the imaging device 313 then plays an important role. When the amount of smoke generated after the combustion of forest combustibles is large, the fire spread behavior image data is not good, and the temperature data of the forest combustibles plays an important role.
[0138] According to an embodiment of the present invention, the data acquisition and control system 300 further includes a prediction model establishment module 340, which is used to fit a prediction model based on the fire spread variable data and the fire spread speed data. The prediction model is used to predict the fire spread speed under the influence of a single fire spread variable and the cross-influence of at least two fire spread variables. Among them, the fire spread variable data includes climate parameter data.
[0139] According to an embodiment of the present invention, the climate parameter data may include at least one of a temperature parameter, a humidity parameter, a gas parameter, and a wind speed parameter. Among them, the gas parameter may include the ambient oxygen concentration.
[0140] According to an embodiment of the present invention, the fire spread variable data further includes at least one of a forest fuel oxygen index, a forest fuel load, a forest fuel size, and a forest terrain slope.
[0141] According to an embodiment of the present invention, the forest fuel oxygen index can reflect the types of combustibles and humidity conditions, and is directly related to the combustion behavior of forest fuels. Therefore, the forest fuel oxygen index can be selected to predict the fire spread speed of forest fuels. Thus, forest fuels of different types and humidities can be classified according to the forest fuel oxygen index, increasing the applicability of the fire spread data.
[0142] According to an embodiment of the present invention, the forest fuel size may include the length, width, and thickness of the forest fuel, etc.
[0143] According to an embodiment of the present invention, the forest fuel load may refer to the absolute dry weight of the combustibles per unit area, and the unit may be t / hm² or kg / m².
[0144] According to an embodiment of the present invention, the cross-influence of at least two fire spread variables means the cross-influence of two or more fire spread variables on the fire spread speed. Exemplarily, the prediction model is used to predict the fire spread speed under the influence of a single fire spread variable and the cross-influence of at least two fire spread variables, which means that the prediction model can be used to predict the fire spread speed under the influence of a single fire spread variable and the cross-influence of two fire spread variables, or can be used to predict the fire spread speed under the influence of a single fire spread variable and the cross-influence of three fire spread variables, or can also be used to predict the fire spread speed under the influence of a single fire spread variable, the cross-influence of two fire spread variables, and the cross-influence of three fire spread variables, etc.
[0145] Specifically, the fire spread variables may include nine fire spread variables: the oxygen index of forest combustibles, the forest combustible load, the width of forest combustibles, the thickness of forest combustibles, the terrain slope, the wind speed, the ambient temperature, the ambient humidity, and the ambient oxygen concentration. The prediction model can be used to predict the fire spread speed under the influence of the nine fire spread variables and the cross-influence of two fire spread variables such as the oxygen index of forest combustibles and wind speed, and wind speed and ambient temperature.
[0146] According to an embodiment of the present invention, the fire spread data may be the fire spread data at a historical moment in the current fire spread experiment; it may also be the fire spread data in a historical fire spread experiment. The present invention does not limit the fire spread data.
[0147] In an implementation scheme of the present invention, experimental scenarios under various extreme climate conditions can be designed, including but not limited to high temperature and high humidity, low temperature and drought, low oxygen and high temperature, etc., to simulate complex environments that may be encountered. Monitor and record the whole process of fire spread under various experimental conditions in real time to obtain fire spread data.
[0148] According to an embodiment of the present invention, the interpolation method can be used to fill in the missing values in the fire spread data. The missing values that cannot be reasonably filled are replaced with 0 and are specially marked in subsequent analyses. The clustering method can be used for outlier detection and processing of outliers.
[0149] According to an embodiment of the present invention, the fire spread speed prediction model can be established based on the following formula (4).
[0150] Formula (4).
[0151] Wherein, R is the fire spread speed, β 0 is a constant, β i is the coefficient of the i-th fire spread variable, β ij is the cross coefficient of the i-th fire spread variable and the j-th fire spread variable, x i is the value of the i-th fire spread variable, x j is the value of the j-th fire spread variable, and n is the number of fire spread variables.
[0152] Exemplarily, the number n of fire spread variables can be 9, which are respectively the oxygen index of forest combustibles, the forest combustible load, the width of forest combustibles, the thickness of forest combustibles, the terrain slope, the wind speed, the ambient temperature, the ambient humidity, and the ambient oxygen concentration, x 1 ~x 9 are the corresponding values of the above variables respectively. The interaction term x 1 x 2 represents the influence of the combined action of the oxygen index of forest combustibles and the forest combustible load on the fire spread speed, and the degree of influence is determined by the interaction term coefficient It is determined, and this interaction effect is additional to the individual effects of each variable. Different variable combinations correspond to different interaction effect, which are reflected by the respective interaction term coefficients.
[0153] According to an embodiment of the present invention, a deformation of formula (4), such as formula (5), can also be used to establish a fire spread speed prediction model.
[0154] Formula (5).
[0155] Wherein, ε is an interaction term of three or more fire spread variables, which is used to characterize the influence of three or more fire spread variables on the fire spread speed.
[0156] Exemplarily, ε can be calculated by using formula (6).
[0157] Formula (6).
[0158] Wherein, β ijk is the cross coefficient of the i-th fire spread variable, the j-th fire spread variable and the k-th fire spread variable, and x k is the value of the k-th fire spread variable.
[0159] According to an embodiment of the present invention, relevant parameters in formulas (4) to (6) can be fitted according to fire spread data by means of computer fitting or the like to establish a fire spread speed prediction model.
[0160] The present invention also provides a method for conducting a fire spread experiment on forest combustibles under extreme climate, including: using the above-mentioned simulation of multi-climate parameters and data analysis fire spread experiment device to conduct a fire spread experiment on the forest combustibles to be tested.
[0161] Specifically, the method for conducting a fire spread experiment on forest combustibles under extreme climate provided by the present invention may include the following steps.
[0162] Step 1: Experiment preparation: Adjust the fire spread behavior research system 200 according to the experimental requirements and install the forest combustible sample to be tested; set the parameters of the simulation of multi-climate parameters and data analysis fire spread experiment device, and the parameters include climate parameters and the like.
[0163] Step 2: Start the experiment: Collect environmental data and sample temperature data and the like through the data acquisition module 310. The control module 320 issues an instruction to the multi-climate parameter simulation system 100 according to the environmental data collected by the data acquisition module 310, and the climate parameter regulation module regulates the environmental parameters of the experimental space according to the instruction.
[0164] According to the embodiments of the present invention, the specific environmental parameters that can be studied are diverse. For example, they may include: the study of forest fuel fire spread in a low-temperature and dry environment. First, turn on the heating radiation plate 120 and the S-shaped heat transfer ventilation duct 130, control the temperature below -10°C, and control the humidity below 50%. The study of forest fuel fire spread in a low-oxygen and high-temperature environment. Turn on the heating radiation plate 120 and the carbon dioxide gas cylinder, control the temperature above 30°C, and control the oxygen content below 19.5%. The study of forest fuel fire spread in a high-oxygen and low-temperature environment. Turn on the S-shaped heat transfer ventilation duct 130 and the oxygen gas cylinder, control the temperature below -10°C, and control the oxygen content above 24%. The study of forest fuel fire spread in a high-temperature and high-humidity environment. Turn on the heating radiation plate 120 and the humidifier, control the temperature above 30°C, and control the humidity above 80%.
[0165] Step three: After the experiment is completed, turn off the experimental device for simulating multi-variable climate parameters and data analysis of fire spread.
[0166] According to the embodiments of the present invention, in step three, after the experiment is completed, the climate parameter regulation module and the data acquisition and control system 300 can be turned off, and the exhaust unit 111 can be turned on. After a period of time, turn off the exhaust unit 111.
[0167] According to the embodiments of the present invention, the fire spread behaviors under extreme climates that the present invention can simulate may include the study of fire spread in a high-temperature and high-humidity environment, the study of fire spread in a low-temperature and dry environment, the study of fire spread in a low-oxygen and high-temperature environment, and so on.
[0168] The experimental device for simulating multi-variable climate parameters and data analysis of fire spread provided by the embodiments of the present invention can be used for simulation experiments under various conditions such as different climate parameters and different forest fuels.
[0169] For example, the simulated climate parameters may include: high temperature, low temperature, oxygen content, carbon dioxide content, high humidity, low humidity, etc. The set of environmental factor A can be: (high temperature, low temperature, oxygen content, carbon dioxide content, high humidity, low humidity,..., n). The number of experiments considering only the change of climate parameters can be , where C is the permutation and combination symbol; n is the number of climate parameters, and j is the number of research variables.
[0170] The variables of the simulated forest fuel may include the length, width, thickness of the forest fuel, the forest fuel load, the oxygen index of the forest fuel, etc. The set of material factor B can be: (length, width, thickness, forest fuel load, oxygen index of the forest fuel,..., o). The number of experiments considering only the variables of the forest fuel can be , where C is the permutation and combination symbol; o is the number of variables of the forest fuel, and k is the number of research variables.
[0171] Thus, the number of experiments considering both simulated climate parameters and forest combustibles can be S 1 ×S 2 . In addition, parameters such as the slope of the forest terrain, ignition position, and ignition energy can also be simulated.
[0172] The experimental device for simulating multi - variable climate parameters and data - analyzing fire spread provided by the embodiments of the present invention can form a combustion environment with changes in multi - variable extreme climate parameters such as extreme temperature, humidity, wind speed, and different gas contents in the experimental space for simulating multi - variable climate parameters. The temperature range of the simulated environment can be from - 50°C to 50°C, the humidity can be from 5% to 95%, the wind speed can be from 0 m / s to 25 m / s, and the volume fraction of oxygen can be from 15% to 50%.
[0173] The method for simulating fire spread of forest combustibles under extreme climate provided by the present invention can conduct simulation experiments on the fire spread behavior under various extreme climate conditions in the forest terrain, and can collect, process, and analyze data, providing a scientific basis and technical support for revealing the mechanism of fire spread under extreme climate conditions and predicting the development trend of fires under extreme climate. In addition, new ideas can be provided for deducing large - scale climate fire spread prediction models through mesoscale experimental methods, promoting the in - depth development of the construction of fire spread models and the research on behaviors under extreme climate conditions, and providing a scientific basis and technical support for coping with global climate change and fire prevention and control.
[0174] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any person skilled in the art, within the spirit and principle of the present invention, any modification, equivalent replacement, improvement, etc. made to the technical method are still included within the protection scope of the technical solution of the present invention.
Claims
1. A fire spread experimental device for simulating multiple climate parameters and data analysis, characterized in that: include: A multi-climate parameter simulation system, comprising a thermal insulation wall module, wherein the thermal insulation wall module is used to enclose an experimental space for simulating multi-climate parameters; A fire spread behavior research system, located in the experimental space, for placing forest combustibles, which will cause fire spread after being ignited; Data acquisition and control system, including: A data acquisition module, located in the experimental space, for collecting climate parameter data of the experimental space and fire spread behavior data of the forest combustibles, wherein the fire spread behavior data is used to determine the fire spread speed data of the forest combustibles; A prediction model building module is used to fit a prediction model according to the fire spread variable data and the fire spread speed data, wherein the fire spread variable data includes the climate parameter data, and the prediction model is built based on the following formula: ; Among them, R is the fire spread speed, β0 is a constant, β i is the coefficient of the i-th fire spread variable, β ij is the cross coefficient between the i-th fire spread variable and the j-th fire spread variable, x i is the value of the ith fire spread variable, x j is the value of the jth fire spread variable, and n is the number of fire spread variables.
2. The fire spread experimental device for simulating multiple climate parameters and data analysis according to claim 1, characterized in that: The climate parameter data includes at least one of a temperature parameter, a humidity parameter, a gas parameter, and a wind speed parameter; The fire spread variable data also includes at least one of the forest combustible oxygen index, forest combustible load, forest combustible size, and forest terrain slope.
3. The fire spread experimental device for simulating multiple climate parameters and data analysis according to claim 1, characterized in that: The fire spread behavior research system comprises: An experimental platform, comprising a plurality of lifting modules and a movable platform installed above the plurality of lifting modules; wherein the plurality of lifting modules are used to independently lift or lower the movable platform to simulate a forest terrain slope; and The sample support module is installed on the experimental platform, and includes a sample platform and a movable sample holder for supporting the sample platform; wherein the sample platform is used to install the forest combustible material, and the movable sample holder is used to move the sample platform to adjust the position of the sample platform.
4. The fire spread experimental device for simulating multiple climate parameters and data analysis according to claim 3 is characterized in that: The sample platform is provided with a plurality of reserved holes for installing a plurality of sample temperature sensors, and the temperature sensing areas of the plurality of sample temperature sensors are brought into contact with the forest combustibles.
5. The fire spread experimental device for simulating multiple climate parameters and data analysis according to claim 1, characterized in that: The fire spread behavior data includes temperature data of the forest combustibles and fire spread behavior image data of the forest combustibles; The data acquisition module includes a climate parameter sensor, a sample temperature sensor and a shooting module; wherein the climate parameter sensor is used to collect the climate parameter data of the experimental space, the sample temperature sensor is used to collect the temperature data of the forest combustibles, and the shooting module is used to shoot the fire spread behavior of the forest combustibles to obtain the fire spread behavior image data.
6. The fire spread experimental device for simulating multiple climate parameters and data analysis according to claim 5, characterized in that: The temperature data of the forest combustibles include the position and time when the sample temperature sensor reaches the highest temperature during the contact with the flame, and the fire spread behavior image data include the position and time when the flame contacts the sample temperature sensor; The data acquisition and control system further comprises a data processing module for obtaining fire spread speed data of the forest combustibles according to the fire spread behavior data; Obtaining the fire spread speed data of the forest combustibles based on the fire spread behavior data includes: determining the fire spread speed of the forest combustibles based on the position and time when the sample temperature sensor reaches the highest temperature during contact with the flame, and the position and time when the flame contacts the sample temperature sensor in the fire spread behavior image data.
7. The fire spread experimental device for simulating multiple climate parameters and data analysis according to claim 1, characterized in that: The multivariate climate parameter simulation system further includes a climate parameter control module, which is used to control the climate parameters of the experimental space according to the instructions of the data acquisition and control system; The data acquisition and control system also includes a control module for issuing instructions to the multivariate climate parameter simulation system according to the climate parameter data collected by the data acquisition module.
8. The fire spread experimental device for simulating multiple climate parameters and data analysis according to claim 5, characterized in that: The shooting module comprises a slide rail and a camera device movable along the slide rail, and is used for shooting the fire spread behavior of the forest combustibles to obtain the fire spread behavior image data.
9. A method for simulating multivariate climate parameters and analyzing fire spread experiments, characterized in that: The method comprises: using the simulated multivariate climate parameter and data analysis fire spread experimental device described in any one of claims 1 to 8 to conduct a fire spread experiment on the forest combustibles to be tested.
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