Experimental device and method for simulating multi-element climate parameters and analyzing fire spread through data

Abstract

The invention provides a fire spread experimental device and method for simulating multi-element climate parameters and analyzing data, and belongs to the technical field of forest combustible fire spread research. The device comprises a multi-element climate parameter simulation system which comprises a thermal insulation wall module which is used for defining an experiment space for simulating multi-element climate parameters; the fire spreading behavior research system is located in the experiment space and used for containing forest combustible materials, and the forest combustible materials have fire spreading behaviors after being ignited; the data acquisition and control system comprises a data acquisition module which is located in an experiment space and is used for acquiring climate parameter data of the experiment space and fire spread behavior data of forest combustibles; and the prediction model establishment module is used for fitting a prediction model according to the fire spread variable data and the fire spread speed data, and the prediction model is used for predicting the fire spread speed under the influence of a single fire spread variable and the cross influence of at least two fire spread variables.

Description

Technical Field

[0001] The invention relates to the technical field of forest combustible fire spread research, and in particular to a fire spread experimental device and method for simulating multivariate climate parameters and data analysis. Background Art

[0002] In the forestry and agricultural sectors, the risk of fire under extreme climatic conditions has increased significantly, especially the complexity and unpredictability of the spread behavior of forest combustible fires, posing huge challenges to the protection of forest resources and agricultural production.

[0003] Traditional research on the spread of forest combustible fires is mostly limited to normal temperature and humidity environments, making it difficult to simulate the spread of fires under different climate environments, and lacking in-depth exploration of the spread of fires under different extreme climate conditions. In addition, the accuracy, stability, processing and analysis of environmental simulations in related experimental devices also have many deficiencies, making it impossible to effectively utilize experimental data. This limitation has led to a lack of scientific theoretical guidance and effective prevention and control measures when dealing with fires caused by extreme climates.

[0004] Therefore, developing a fire spread experimental device that can simulate multiple climate parameters and data analysis is of great significance for revealing the mechanism of fire spread under multiple climate parameter conditions, predicting fire development trends, and formulating effective prevention and control strategies. Summary of the invention

[0005] In view of this, the present invention provides a fire spread experimental device and method for simulating multiple climate parameters and data analysis.

[0006] To achieve the above object, the technical solution of the present invention is as follows:

[0007] As one aspect of the present invention, there is provided a fire spread experimental device for simulating multivariate climate parameters and data analysis, the device comprising: a multivariate climate parameter simulation system, comprising an insulation wall module, the insulation wall module being used to enclose an experimental space for simulating multivariate climate parameters; a fire spread behavior research system, located in the experimental space, and being used to place forest combustibles, the forest combustibles exhibiting fire spread behavior after being ignited; a data acquisition and control system, comprising: a data acquisition module, located in the experimental space, and being used to collect 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 fire spread speed data of the forest combustibles; a prediction model establishment module, being used to fit a prediction model based on fire spread variable data and fire spread speed data, the prediction model being used to predict the fire spread speed under the influence of a single fire spread variable and under 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 a temperature parameter, a humidity parameter, a gas parameter, and a wind speed parameter.

[0009] According to an embodiment of the present invention, 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.

[0010] According to an embodiment of the present invention, the prediction model is established based on the following formula (4).

[0011] Formula (4).

[0012] 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.

[0013] According to an embodiment of the present invention, a fire spread behavior research system includes an experimental platform, including multiple lifting modules and a movable platform installed above the multiple lifting modules; wherein the multiple lifting modules are used to independently lift or lower the movable platform to simulate the slope of forest terrain.

[0014] According to an embodiment of the present invention, a fire spread behavior research system includes a sample support module installed on an experimental platform, including a sample platform and a movable sample holder for supporting the sample platform; wherein the sample platform is used to install forest combustibles, and the movable sample holder 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 the temperature sensing areas of the plurality of sample temperature sensors are brought into contact with forest combustibles.

[0016] According to an embodiment of the present invention, the fire spread behavior data includes temperature data of forest combustibles and fire spread behavior image data of forest combustibles.

[0017] According to an embodiment of the present invention, 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 climate parameter data of the experimental space, the sample temperature sensor is used to collect temperature data of forest combustibles, and the shooting module is used to shoot the fire spread behavior of forest combustibles to obtain fire spread behavior image data.

[0018] According to an embodiment of the present invention, the temperature data of forest combustibles includes the position and time when the sample temperature sensor reaches the highest temperature during contact with 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 comprises a data processing module for obtaining fire spread speed data of forest combustibles based on the fire spread behavior data.

[0020] According to an embodiment of the present invention, obtaining fire spread speed data of forest combustibles based on fire spread behavior data includes: determining the fire spread speed of 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.

[0021] According to an embodiment of the present invention, the multivariate climate parameter simulation system further includes a climate parameter control module for controlling the climate parameters of the experimental space according to instructions of the data acquisition and control system.

[0022] According to an embodiment of the present invention, the data acquisition and control system further comprises a control module for issuing instructions to the multivariate climate parameter simulation system according to the climate parameter data acquired 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, which is used to shoot the fire spread behavior of forest combustibles and obtain fire spread behavior image data.

[0024] As one aspect of the present invention, a method for forest combustible fire spread experiment under extreme climate is also provided, the method comprising: using the above-mentioned simulated multivariate climate parameter and data analysis fire spread experiment device to conduct a fire spread experiment on the forest combustible to be tested.

[0025] It can be seen from the above technical solutions that the device and method for simulating multi-climate parameters and data analysis of fire spread experiment of the present invention have at least one or part of the following beneficial effects.

[0026] The simulated multivariate climate parameter and data analysis fire spread experimental device provided by the embodiment of the present invention can simulate multivariate climate parameters and has data collection, processing and analysis capabilities. The multivariate climate parameter simulation system composed of the thermal insulation wall module can realize the precise control of multiple climate parameters; the fire spread behavior research system can be used to place forest combustibles, and the forest combustibles will spread fire 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. The prediction model can be used to predict the fire spread speed under the influence of a single fire spread variable and under the cross-influence of at least two fire spread variables, providing guidance for the prediction of the fire spread behavior of forest combustibles. The multivariate climate parameter simulation system, the fire spread behavior research system and the data acquisition and control system provide strong technical support for the study of multivariate climate parameters, especially the fire spread behavior of forest combustibles under extreme climate conditions.

[0027] The method for simulating multivariate climate parameters and analyzing fire spread experiments provided by the present invention can simulate experiments on fire spread behavior under multivariate climate parameters, and can perform data collection, processing and analysis, providing a scientific basis and technical support for revealing the mechanism of fire spread under multivariate climate parameters and predicting the development trend of fire under multivariate climate parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It shows a structural block diagram of a fire spread experimental device for simulating multivariate climate parameters and data analysis according to an embodiment of the present invention;

[0029] Figure 2A The external view of a fire spread experimental device for simulating multiple climate parameters and performing data analysis according to an embodiment of the present invention is shown;

[0030] Figure 2B A perspective view of a fire spread experimental device for simulating multivariate climate parameters and performing data analysis according to an embodiment of the present invention is shown;

[0031] Figure 2C A perspective view from another angle of the fire spread experimental device for simulating multivariate climate parameters and data analysis according to an embodiment of the present invention is shown;

[0032] Figure 3A A schematic diagram showing a first embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain;

[0033] Figure 3B A schematic diagram showing a second embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain is shown;

[0034] Figure 3CA schematic diagram showing a third embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain is shown;

[0035] Figure 3D A schematic diagram showing a fourth embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain is shown;

[0036] Figure 3E A schematic diagram showing a fifth embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain;

[0037] Figure 3F A schematic diagram showing a sixth embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain;

[0038] Figure 4 A schematic structural diagram of a sample support module according to an embodiment of the present invention is shown;

[0039] Figure 5 It shows a structural block diagram of a data acquisition and control system according to an embodiment of the present invention;

[0040] In the above drawings, the meanings of the reference numerals are as follows:

[0041] 100-Multivariate climate parameter simulation system;

[0042] 110- Insulation wall;

[0043] 111-exhaust unit;

[0044] 112-Import and export;

[0045] 113-visible window;

[0046] 120-heating radiation panel;

[0047] 130-S type heat transfer ventilation duct;

[0048] 140- fan;

[0049] 150-Dry ice addition unit;

[0050] 160-gas cylinder;

[0051] 170-gas pipeline;

[0052] 200-Fire spread behavior research system;

[0053] 210-lifting module;

[0054] 220-Activity platform;

[0055] 221-metal wedge;

[0056] 230-sample platform;

[0057] 240-removable sample holder;

[0058] 250-Ignition module;

[0059] 251-removable ignition source support;

[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-Camera equipment

[0066] 320-control module;

[0067] 321-Terminal control equipment;

[0068] 330-data processing module;

[0069] 340-prediction model building module;

[0070] 400-Mobile module. DETAILED DESCRIPTION

[0071] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0072] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The term "comprising" used herein indicates the existence of features, steps, operations, but does not exclude the existence 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.", it should generally be interpreted in accordance with the meaning of the expression generally understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.). In the case of using expressions such as "at least one of A, B, or C, etc.", it should generally be interpreted in accordance with the meaning of the expression generally understood by those skilled in the art (for example, "a system having at least one of A, B, or C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0074] Traditional research on the spread of forest combustible fires is mostly limited to normal temperature and humidity environments, and lacks in-depth exploration of multiple climate parameters, especially fire spread behavior under different extreme climate conditions. In related technologies, attempts are made to simulate fire spread behavior under different climate environments by changing experimental conditions, but these studies are mostly limited to changes in a single climate factor and it is difficult to fully reflect the complexity and diversity of extreme climate conditions. In addition, related experimental devices also have many deficiencies in terms of the accuracy and stability of environmental simulation, as well as the collection, processing and analysis of experimental data, 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 forest combustible fire spread physical experimental device that can comprehensively and accurately simulate multiple climate parameters, especially extreme climate environments, and has efficient data collection, processing and analysis capabilities. The device should be able to achieve precise control of multiple climate factors such as high temperature, low temperature, humidity, gas composition, and real-time monitoring and recording of key parameters such as fire spread speed and temperature distribution during the fire spread process, providing strong technical support for the study of multiple climate parameters, especially the forest combustible fire spread behavior under 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 multiple extreme climate parameters such as extreme temperature, humidity, wind speed and different gas contents. Figure 1 FIG. 1 is a block diagram of a fire spread experiment device for simulating multiple climate parameters and analyzing data according to an embodiment of the present invention. Figure 1 As shown, the simulation multivariate climate parameter and data analysis fire spread experimental device includes a multivariate climate parameter simulation system 100 , a fire spread behavior research system 200 and a data acquisition and control system 300 .

[0077] The multivariate climate parameter simulation system 100 includes a thermal insulation wall module, and the thermal insulation wall module is used to enclose an experimental space for simulating multivariate climate parameters.

[0078] The fire spread behavior research system 200 is located in the experimental space and is used to place forest combustibles, which will cause fire spread after being ignited.

[0079] The data acquisition and control system 300 includes a data acquisition module and a prediction model building module.

[0080] The data acquisition module is located in the experimental space and is used to collect climate parameter data of the experimental space and fire spread behavior data of forest combustibles, wherein the fire spread behavior data is used to determine the fire spread speed data of forest combustibles.

[0081] The prediction model establishment module is used to fit a prediction model based on fire spread variable data and 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 under the cross-influence of at least two fire spread variables, wherein the fire spread variable data includes climate parameter data.

[0082] The simulated multivariate climate parameter and data analysis fire spread experimental device provided by the embodiment of the present invention can simulate multivariate climate parameters and has data collection, processing and analysis capabilities. The multivariate climate parameter simulation system 100 composed of the thermal insulation wall module can realize the precise control of multiple climate parameters; the fire spread behavior research system 200 can be used to place forest combustibles, and the forest combustibles will spread fire 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. 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 at least two fire spread variables, providing guidance for the prediction of the fire spread behavior of forest combustibles. The multivariate 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 study of multivariate climate parameters, especially the fire spread behavior of forest combustibles under extreme climate conditions.

[0083] Reference below Figure 2A to Figure 2C , Figure 3A to Figure 3F , Figure 4 and Figure 5 , combined with specific embodiments Figure 1 The fire spread experimental setup for simulation of multivariate climate parameters and data analysis is further explained.

[0084] in, Figure 2A The external view of the fire spread experimental device for simulating multivariate climate parameters and data analysis according to an embodiment of the present invention is shown. Figure 2B An angled perspective view of a fire spread experimental device for simulating multivariate climate parameters and performing data analysis according to an embodiment of the present invention is shown. Figure 2C A perspective view from another angle of the fire spread simulation device for multivariate climate parameter and data analysis according to an embodiment of the present invention is shown.

[0085] like FIG. 2A to FIG. 2C As shown, the thermal insulation wall module can be composed of a thermal insulation wall 110. Any thermal insulation wall 110 with thermal insulation and flame retardant functions can constitute 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 insulation material-metal plate", and specifically, a three-layer structure of "iron plate-flame retardant insulation material-iron plate" can be adopted.

[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. The exhaust unit 111 may be in a closed state during the experiment and in an open state after the experiment. The thermal insulation wall module may further include an inlet and outlet 112 to facilitate the entry and exit of operators.

[0087] According to an embodiment of the present invention, the multivariate climate parameter simulation system 100 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 climate parameter control module may include one or more of a first temperature control module, a second temperature control module, a humidity control module, and a gas flow control module. For example, the climate parameter control module may include a first temperature control module, a second temperature control module, a humidity control module, and a gas flow control module.

[0088] Among them, FIG. 2A to FIG. 2C As shown, the first temperature control module may include a heating radiation plate 120, which is used to control the high temperature environment of 10°C to 50°C in the experimental space, especially an extreme high temperature environment of more than 40°C, for example, a high temperature environment of 10°C, 20°C, 30°C, 40°C or 50°C may be formed in the experimental space. The first temperature control module may be used in conjunction with an ambient temperature sensor to control 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 adding 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 extreme 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 cold amount provided by the dry ice adding unit 150 is transported to the S-shaped heat transfer ventilation duct 130 through the fan 140, and heat is exchanged between the S-shaped heat transfer ventilation duct 130 and the experimental space. The second temperature control module can be used in conjunction 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 amount of dry ice added and the delivery power of the fan 140.

[0090] According to an embodiment of the present invention, the cooling capacity exchange model can be calculated using the following formula (1).

[0091] Formula (1).

[0092] Among them, W gb is the cooling capacity 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; Δt is the temperature difference of the experimental space.

[0093] The humidity control module may include a moisture delivery system (not shown in the figure) for adjusting 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 pipeline to form a humidity environment of 5% to 95% in the experimental space, especially dry air with a humidity of less than 30% and extremely humid air with a humidity of more than 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 used in conjunction with a humidity sensor to adjust the humidity of the experimental space.

[0094] The gas flow control module includes a gas cylinder 160 and a gas pipeline 170, which are used to deliver gas to the experimental space to control gas parameters. Specifically, the gas flow control module may include an oxygen cylinder and a carbon dioxide cylinder, which are used to deliver oxygen and carbon dioxide to the experimental space respectively to control gas parameters, such as establishing extreme climate simulation environments such as "low oxygen" and "high carbon". Specifically, the "low oxygen" extreme climate simulation environment can be a simulation environment with an oxygen content of less than 19.5%, and the "high carbon" extreme climate simulation environment can be a simulation environment with a carbon dioxide content of more than 80.5%.

[0095] According to an embodiment of the present invention, the gas flow control module may further include a solenoid valve, which may control the input of various gas flows.

[0096] According to an embodiment of the present invention, in order to simulate the fire spreading behavior under different gas parameters, the content of each gas in the experimental space can be adjusted mainly by controlling the opening and closing of the gas cylinder 160. The gas concentration can be set according to formula (2).

[0097] Formula (2).

[0098] Among them, W is the amount of gas provided; V is the volume of the experimental space; C is the concentration of the preset gas; W1 is the amount of gas already in the experimental space; W2 is the amount of gas consumed by combustion.

[0099] According to an embodiment of the present invention, a protective plate may be installed on one 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-mentioned multivariate climate parameter simulation system 100, the simulation multivariate climate parameter and data analysis fire spread experimental device provided by the embodiment of the present invention can simulate extreme climate environments of high temperature, low temperature, humidity changes and different gas components (such as oxygen, carbon dioxide).

[0101] According to an embodiment of the present invention, the climate parameter control module may further include a wind speed control module for controlling the wind speed of the experimental space, forming an environment in which the wind speed is 0m / s~25m / s in the experimental space, especially a strong wind with a wind speed greater than 15m / s. Exemplarily, the wind speed of the experimental space may be controlled by air conditioners, blowers and other equipment, and the wind speed of the experimental space may be 0m / s, 1m / s, 2m / s, 5m / s, 8m / s, 10m / s, 12m / s, 15m / s, 18m / s, 20m / s, 22m / s, 25m / s and the like.

[0102] The simulated multi-climate parameter and data analysis fire spread experimental device provided by the embodiment 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 set on the insulation wall 110 between the experimental space for simulating multi-climate parameters and the terminal control area, and the operator 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 gas used in the simulated multi-climate parameter and data analysis fire spread experimental device can be stored in the gas cylinder management area in the form of a gas cylinder 160, and connected to the experimental space through a pipeline; the dry ice management area can be equipped with a container for storing dry ice, and the S-shaped heat transfer ventilation duct 130 is connected to the experimental space, and the fan 140 provides cold air transportation, and the cold is transmitted to the climate simulation area through the outer wall of the S-shaped heat transfer ventilation duct 130. The other end of the S-shaped heat transfer ventilation duct 130 can also be connected to the dry ice management area to achieve a gas circulation effect.

[0103] The experimental device for simulating multi-climate parameters and analyzing fire spread with data provided by the embodiment of the present invention may further include a moving module 400 for moving the location of the experimental device for simulating multi-climate parameters and analyzing fire spread with data.

[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 adjustable multi-angle experimental platform, which can simulate different forest terrains by setting a lifting module 210 and a movable platform 220.

[0105] Further reference below Figure 3A~3F , the experimental platform is further explained in combination with specific embodiments.

[0106] Figure 3A A schematic diagram showing a first embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain; Figure 3B A schematic diagram showing a second embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain is shown; Figure 3C A schematic diagram showing a third embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain is shown; Figure 3D A schematic diagram showing a fourth embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain is shown; Figure 3E A schematic diagram showing a fifth embodiment of the present invention using an experimental platform to simulate the slope of a forest terrain; Figure 3F A schematic diagram of simulating forest terrain slope using an experimental platform according to a sixth embodiment of the present invention is shown.

[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 multiple movable platforms 220 to simulate the slope of forest terrain. For example, the angles between the multiple movable platforms 220 may be raised or lowered by multiple lifting modules 210 to simulate the slope of forest terrain. Figure 3A~3F As shown, the experimental platform can be two movable platforms 220, each of which includes two lifting modules 210. At this time, the angle between the two movable platforms 220 can be raised or lowered by four lifting modules 210, so that the two movable platforms 220 form different structures as shown in 3A to 3F, such as a V-shape, etc., to simulate different forest terrains. For the V-shaped structure with an upward tilt angle, since there is a gap between the two movable platforms 220, a metal wedge 221 is used to fill it, for example, an iron wedge can be used to fill it.

[0109] According to an embodiment of the present invention, the surface of the movable platform 220 may be rough to prevent the combustibles from slipping. Other means may also be used to prevent the combustibles from slipping, for example, by providing a baffle 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 installed on the experimental platform 210. Figure 4 , the sample support module is further explained in conjunction with specific embodiments.

[0111] Figure 4 A schematic structural diagram of a sample supporting module according to an embodiment of the present invention is shown.

[0112] like Figure 4 As shown, the sample support module includes a sample platform 230 and a movable sample holder 240 for supporting the sample platform; wherein the sample platform 230 is used to install forest combustibles, and the movable sample holder 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 holder 240 is used to move the sample platform 230 to adjust the position of the sample platform 230. For example, the movable sample holder 240 can move up and down and / or left and right. The up and down movement can adjust the positional relationship between the movable platform 220, the sample platform 230 and the shooting module, and the left and right movement can be used to add different forest combustibles on the sample platform 230.

[0114] The present invention does not limit the connection method of the movable sample holder 240 and the sample platform 230, and any method that can connect the movable sample holder 240 and the movable sample platform 230 is applicable 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 allowing the temperature sensing areas of the plurality of sample temperature sensors 311 to contact with forest combustibles.

[0116] According to an embodiment of the present invention, the fire spread behavior research system 200 may also include: an ignition module 250, located on the movable platform 220, including a movable ignition source bracket 251 and an ignition source 252 installed on the movable ignition source bracket 251; wherein the ignition source 252 is used to ignite forest combustibles, and the movable ignition source bracket 251 is used to move the position of the ignition source 252.

[0117] Further reference below Figure 5 , the data acquisition and control system 300 is further explained in conjunction with a specific embodiment.

[0118] Figure 5 A structural block diagram of a data acquisition and control system 300 according to an embodiment of the present invention is shown.

[0119] like Figure 5 As 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 building module 340 .

[0120] According to an embodiment of the present invention, the data acquisition module 310 may include a climate parameter sensor. The climate parameter sensor includes 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 a sample temperature sensor 311. The number of the sample temperature sensors 311 can 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. Figure 2BAs shown, the shooting module includes a slide rail 312 and a camera device 313 that can move along the slide rail 312, and is used to shoot the fire spread behavior of forest combustibles to obtain fire spread 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 for issuing instructions to the multivariate climate parameter simulation system 100 according to the climate parameter data acquired by the data acquisition module 310 .

[0124] According to an embodiment of the present invention, the control module 320 may 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 may be equipped with the control module 320, and 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 a preset high temperature, the control module 320 turns off the heating radiation plate 120 through an instruction; when the temperature reaches a preset low temperature, the control module 320 turns off the fan 140 for cold air delivery through an instruction; when the humidity in the climate simulation system reaches a preset value, the control module 320 turns off the atomizing nozzle through an instruction, otherwise it turns on.

[0125] According to an embodiment of the present invention, the control module 320 can be connected to a climate parameter sensor to convert environmental data into electrical signals for visual display, and can also be connected to a climate parameter control module to control the environmental parameters of the experimental space to be in a dynamic equilibrium 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 for obtaining fire spread speed data of forest combustibles based on the fire spread behavior data.

[0127] In an optional implementation, the fire spread behavior data includes fire spread behavior image data. The fire spread behavior image data includes the position and time when the flame contacts the sample temperature sensor 311. The method for obtaining the fire spread speed data of the forest combustibles according to the fire spread behavior data includes: determining the fire spread speed of the forest combustibles according to the position and time when the flame contacts the sample temperature sensor 311.

[0128] In another optional embodiment, the fire spread behavior data includes temperature data of forest combustibles. The temperature data of forest combustibles includes the position and time at which the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame. The method for 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 at which the sample temperature sensor 311 reaches the highest temperature during the process of contacting the flame.

[0129] In another optional embodiment, the fire spread behavior data includes the temperature data of the forest combustible and the fire spread behavior image data of the forest combustible. The temperature data of the forest combustible includes the position and time when the sample temperature sensor 311 reaches the highest temperature during the contact with the flame, and the fire spread behavior image data includes the position and time when the flame contacts the sample temperature sensor 311. The method for obtaining the fire spread speed data of the forest combustible according to the fire spread behavior data includes: determining the fire spread speed of the forest combustible according to the position and time when the sample temperature sensor 311 reaches the highest temperature during the contact with 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 camera device 313 can transmit fire spread behavior image data to the data processing module 330, and the sample temperature sensor 311 can transmit forest combustible temperature data to the data processing module 330, thereby realizing bidirectional coupling self-inspection of fire spread behavior image data and forest combustible temperature data.

[0131] According to the embodiment of the present invention, by combining the fire spread behavior image data collected by the camera device 313 and the forest combustible temperature data collected by the sample temperature sensor 311, it is no longer necessary to rely solely on a certain data source to judge the fire spread behavior. The fire spread behavior image data can intuitively present the macroscopic conditions such as the appearance changes of the fire scene and the form of flame spread, while the forest combustible temperature data accurately reflects the temperature changes at the microscopic level at different locations of the fire scene. The two confirm each other and can effectively reduce the impact of interference factors such as errors and noise that may exist in a single data source on the fire spread analysis, making the information obtained about the fire spread behavior more accurate and reliable, and also conducive to the subsequent more accurate derivation of the true fire spread speed.

[0132] According to an embodiment of the present invention, the bidirectional coupling self-test can be specifically established by formula (3).

[0133] Formula (3).

[0134] Among them, T sp is the moment when the flame contacts the sample temperature sensor in the image data; T rd (i) is the moment when the temperature sensor of the i-th sample reaches the highest temperature during the flame contact process.

[0135] In terms of deriving the real fire spread speed, it is difficult to accurately analyze the complex changes in the entire spread process by relying on a single data. By establishing a coupling relationship between the 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 contact with the flame, the changes in the spread speed of the fire at different stages and different positions can be analyzed in detail. In some cases, for example, when the smoke generated by the burning of forest combustibles is large, the position and time when the flame contacts the sample temperature sensor 311 may not be observed 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 contact with the flame. In other cases, the position and time when the sample temperature sensor 311 reaches the highest temperature during the contact with the flame, as well as the position and time when the flame contacts the sample temperature sensor 311 in the fire spread behavior image data, can be obtained more clearly. At this time, the fire spread speed data of 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 contact with 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, whether it is the camera device 313 or the sample temperature sensor 311, or their related data transmission modules and other links, failures may occur. The present invention can timely discover data abnormalities by comparing the data correlation between the temperature data of forest combustibles and the image data of the fire spread behavior of forest combustibles, and then determine which device or transmission link has a problem.

[0137] The fire scene environment is often complex and changeable. Different forest combustibles, ventilation conditions, forest terrain and other factors will 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 based on the real-time feedback of temperature data and fire spread behavior image data. If the environment changes, such as a sudden change in wind direction causing the direction of fire spread to change, the sample temperature sensor 311 does not recognize the temperature data change. At this time, the fire spread behavior image data captured by the camera 313 plays an important role. If the amount of smoke generated after the forest combustibles are burned 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 also includes a prediction model establishment module 340, which is used to fit a prediction model based on fire spread variable data and 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 under the cross-influence of at least two fire spread variables, wherein 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 an ambient oxygen concentration.

[0140] According to an embodiment of the present invention, 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.

[0141] According to the embodiment of the present invention, the forest combustible oxygen index can reflect the type and humidity of the combustibles, and is directly related to the combustion behavior of the forest combustibles. Therefore, the forest combustible oxygen index can be used to predict the fire spread rate of the forest combustibles. Thus, forest combustibles of different types and humidity can be divided according to the forest combustible oxygen index, which increases the applicability of fire spread data.

[0142] According to an embodiment of the present invention, the forest combustible material size may include the forest combustible material length, the forest combustible material width, the forest combustible material thickness, and the like.

[0143] According to an embodiment of the present invention, the forest combustible load may refer to the absolute dry weight of 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 indicates 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 under the cross-influence of at least two fire spread variables: the prediction model can be used to predict the fire spread speed under the influence of a single fire spread variable and under the cross-influence of two fire spread variables, and can also be used to predict the fire spread speed under the influence of a single fire spread variable and under the cross-influence of three fire spread variables, and can also be used to predict the fire spread speed under the influence of a single fire spread variable, under the cross-influence of two fire spread variables, and under the cross-influence of three fire spread variables, etc.

[0145] Specifically, fire spread variables may include forest combustible oxygen index, forest combustible load, forest combustible width, forest combustible thickness, terrain slope, wind speed, ambient temperature, ambient humidity and ambient oxygen concentration, a total of 9 fire spread variables. The prediction model can be used to predict the fire spread rate under the influence of the 9 fire spread variables and the cross-influence of two fire spread variables, namely, forest combustible oxygen index and wind speed, wind speed and ambient temperature.

[0146] According to an embodiment of the present invention, the fire spread data may be fire spread data at a historical moment in a current fire spread experiment, or may be fire spread data in a historical fire spread experiment. The present invention does not limit the fire spread data.

[0147] In one embodiment of the present invention, a variety of experimental scenarios under 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 the complex environment that may be encountered. The whole process of fire spread under various experimental conditions is monitored and recorded in real time to obtain fire spread data.

[0148] According to an embodiment of the present invention, an interpolation method can be used to fill missing values ​​in the fire spread data, and missing values ​​that cannot be reasonably filled are replaced with 0 and specially marked in subsequent analysis. Clustering methods can be used to detect outliers and process outliers.

[0149] According to an embodiment of the present invention, a fire spread speed prediction model may be established based on the following formula (4).

[0150] Formula (4).

[0151] 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 The value of the ith fire spread variable, x j The value of the jth fire spread variable, and n is the number of fire spread variables.

[0152] Exemplarily, the number of fire spread variables n can be 9, which are forest combustible oxygen index, forest combustible load, forest combustible width, forest combustible thickness, terrain slope, wind speed, ambient temperature, ambient humidity and ambient oxygen concentration, and x1~x9 are the values ​​corresponding to the above variables. The interaction term x1x2 between forest combustible oxygen index and forest combustible load represents the influence of forest combustible oxygen index and forest combustible load on fire spread speed, and the influence degree is determined by the interaction term coefficient The interaction effect is determined by the interaction term coefficient, and this interaction effect is generated additionally on the basis of the individual influence of each variable. Different combinations of variables have different corresponding interaction effects, which are reflected by their respective interaction term coefficients.

[0153] According to an embodiment of the present invention, a variation of formula (4), such as formula (5), may be used to establish a fire spread speed prediction model.

[0154] Formula (5).

[0155] Among them, ε is the 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 rate.

[0156] For example, ε may be calculated using formula (6).

[0157] Formula (6).

[0158] Among them, 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, x k is the value of the kth fire spread variable.

[0159] According to an embodiment of the present invention, the relevant parameters in formulas (4) to (6) can be fitted based on fire spread data by computer fitting or other means to establish a fire spread rate prediction model.

[0160] The present invention also provides a method for forest combustible fire spread experiment under extreme climate, comprising: using the above-mentioned simulated multivariate climate parameter and data analysis fire spread experiment device to conduct a fire spread experiment on the forest combustible to be tested.

[0161] Specifically, the forest combustible fire spread experimental method under extreme climate provided by the present invention may include the following steps.

[0162] Step 1: Experimental preparation: adjust the fire spread behavior research system 200 according to the experimental requirements, and install the forest combustible samples to be tested; set the parameters of the simulated multivariate climate parameters and data analysis fire spread experimental device, which include climate parameters, etc.

[0163] Step 2: Start the experiment: Collect environmental data and sample temperature data through the data acquisition module 310. The control module 320 issues instructions to the multivariate climate parameter simulation system 100 according to the environmental data collected by the data acquisition module 310, and the climate parameter control module controls the environmental parameters of the experimental space according to the instructions.

[0164] According to an embodiment of the present invention, the specific environmental parameters that can be studied are diverse, for example, they may include: Research on the spread of forest combustible fires 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%. Research on the spread of forest combustible fires in a low-oxygen and high-temperature environment, turn on the heating radiation plate 120 and the carbon dioxide cylinder, control the temperature above 30°C, and control the oxygen below 19.5%. Research on the spread of forest combustible fires in a high-oxygen and low-temperature environment, turn on the S-shaped heat transfer ventilation duct 130 and the oxygen cylinder, control the temperature below -10°C, and control the oxygen above 24%. Research on the spread of forest combustible fires 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 3: After the experiment is over, close the fire spread experimental device for simulating multiple climate parameters and data analysis.

[0166] According to an embodiment of the present invention, in step three, after the experiment is over, the climate parameter control 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, the exhaust unit 111 can be turned off.

[0167] According to an embodiment of the present invention, the fire spread behavior under extreme climates that can be simulated by the present invention may include fire spread research in high temperature and high humidity environment, fire spread research in low temperature and drought environment, fire spread research in low oxygen and high temperature environment, etc.

[0168] The simulated multi-climate parameter and data analysis fire spread experimental device provided in the embodiment of the present invention can be used for simulation experiments under various conditions such as different climate parameters and different forest combustibles.

[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 factors A may be: (high temperature, low temperature, oxygen content, carbon dioxide content, high humidity, low humidity, ..., n), and the number of experiments considering only the changes in climate parameters may 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 simulated forest fuels can include the length, width, thickness, forest fuel load, forest fuel oxygen index, etc. The material factor B set can be: (length, width, thickness, forest fuel load, forest fuel oxygen index, ..., o). The number of experiments considering only the variables of forest fuels can be , where C is the permutation and combination symbol; o is the number of forest fuel variables, and k is the number of research variables.

[0171] Therefore, the number of experiments considering both climate parameters and forest fuels can be S1 × S2. In addition, parameters such as forest terrain slope, ignition location, and ignition energy can also be simulated.

[0172] The simulated multi-climate parameter and data analysis fire spread experimental device provided in an embodiment of the present invention can form a combustion environment with changes in multi-climate parameters such as extreme temperature, humidity, wind speed and different gas contents in the experimental space simulating multi-climate parameters. The temperature range of the simulated environment can be -50°C~50°C, the humidity can be 5%~95%, the wind speed can be 0m / s~25m / s, and the oxygen volume fraction can be 15%~50%.

[0173] The forest combustible fire spread experimental method under extreme climate provided by the present invention can simulate the fire spread behavior under various extreme climate conditions under forest terrain, and can collect, process and analyze data, providing scientific basis and technical support for revealing the mechanism of fire spread under extreme climate conditions and predicting the development trend of fire under extreme climate. In addition, the mesoscale experimental method can provide new ideas for the deduction of large-scale climate fire spread prediction models, promote the in-depth development of fire spread model construction and behavior research under extreme climate conditions, and provide scientific basis and technical support for responding to global climate change and fire prevention and control.

[0174] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made to the technical method by any technician familiar with the art within the spirit and principle of the present invention are still included in 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 multivariate 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 multivariate 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 based on fire spread variable data and the fire spread speed data, wherein the prediction model is used to predict the fire spread speed under the influence of a single fire spread variable and under the cross-influence of at least two fire spread variables, wherein the fire spread variable data includes the climate parameter data.

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 or 2, characterized in that: The prediction model is established 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.

4. 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.

5. The fire spread experimental device for simulating multiple climate parameters and data analysis according to claim 4, 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 in contact with the forest combustibles.

6. 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.

7. The fire spread experimental device for simulating multiple climate parameters and analyzing data according to claim 6, 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 the 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.

8. 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.

9. The fire spread experimental device for simulating multiple climate parameters and analyzing data according to claim 6, 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.

10. 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 9 to conduct a fire spread experiment on forest combustibles to be tested.

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