Vegetation combustion flame height prediction method and device and storage medium

Abstract

The invention discloses a vegetation combustion flame height prediction method and device and a storage medium, and the method comprises the steps: recording the test data of a vegetation combustion test, and the test data comprises the tree parameters of a test tree, the environment parameters and the maximum flame height; constructing a three-dimensional vegetation model according to the tree parameters of the test tree, respectively setting corresponding tree material parameters at the trunk part and the crown part, respectively carrying out analog simulation by using one tree parameter, and recording each tree parameter and the corresponding flame height; and according to each tree parameter and the corresponding flame height, determining an influence relationship between all the tree parameters and the flame height, and according to the tree parameters of the target tree and the influence relationship, determining the maximum flame height of the target tree. According to the method, a large amount of analog simulation can be carried out with a single tree parameter under the condition of control variables, the diversity of data volume is ensured, and the flame height prediction effect of vegetation combustion can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fire intensity prediction, and in particular to a method, device and storage medium for predicting flame height of vegetation combustion. Background Art

[0002] Overhead transmission lines often pass through areas with dense vegetation. When forest fires occur near the lines due to burning vegetation, the high electrical conductivity of the vegetation fire, as well as the high temperature and smoke particles generated by the combustion will damage the mechanical and electrical properties of the overhead transmission line facilities, seriously affecting the safe and stable operation of the power grid. The fire intensity (flame height) is an important basis for intuitively judging the degree of damage caused by vegetation fire to transmission lines. The greater the fire intensity, the more serious the damage.

[0003] Existing methods for predicting flame height of vegetation burning usually use data obtained from simulation experiments to fit formulas to achieve flame height prediction. However, it is difficult to conduct a large number of experiments with tree parameters under controlled variables in simulation experiments, and the amount of experimental data obtained is small, resulting in poor prediction of flame height of vegetation burning. Summary of the invention

[0004] The present invention provides a method, device and storage medium for predicting the flame height of vegetation burning, so as to solve the technical problem that the existing method for predicting the flame height of vegetation burning uses data obtained from simulation experiments to fit formulas to achieve flame height prediction, but it is difficult to conduct a large number of experiments with tree parameters under controlled variables in simulation experiments, and the amount of test data obtained is small, resulting in poor prediction effect of the flame height of vegetation burning.

[0005] The present invention provides a method for predicting flame height of vegetation burning, comprising:

[0006] Recording test data of the vegetation burning test, the test data including tree parameters of the test trees, environmental parameters and maximum flame height, the tree parameters of the test trees including tree height, crown height and trunk diameter;

[0007] Constructing a three-dimensional vegetation model according to the tree parameters of the test tree, and setting corresponding tree material parameters in the trunk part and the crown part of the three-dimensional vegetation model respectively, so as to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters;

[0008] Using the environmental parameters and the updated three-dimensional vegetation model to perform a combustion simulation, and determining the tree material parameters when the maximum flame height is obtained as the final tree material parameters;

[0009] Using the final tree material parameters, respectively use one of the tree parameters to perform simulation, and record each tree parameter and the corresponding flame height;

[0010] According to each tree parameter and the corresponding flame height, the influence relationship between all tree parameters and flame height is determined, and according to the tree parameter of the target tree and the influence relationship, the maximum flame height of the target tree is determined.

[0011] Furthermore, the environmental parameters include ambient air pressure and ambient temperature.

[0012] Furthermore, corresponding tree material parameters are set in the trunk part and the crown part of the three-dimensional vegetation model respectively, including:

[0013] The trunk part and the crown part are simplified respectively, and corresponding tree material parameters are set in the simplified trunk part and the crown part respectively.

[0014] Furthermore, the simplification process of the trunk part and the crown part respectively includes:

[0015] The trunk portion is simplified into a cylindrical trunk, and the crown portion is simplified into at least one of a conical trunk, a spindle-shaped crown and a hemispherical trunk.

[0016] Furthermore, the wood material parameters include thermal conductivity, density and combustion heat.

[0017] Furthermore, the simulation is performed using one of the tree parameters respectively, and each tree parameter and the corresponding flame height are recorded, including:

[0018] Adjust the tree heights in the updated 3D vegetation model and record the flame heights corresponding to different tree heights;

[0019] Adjust the tree crown height in the updated 3D vegetation model and record the flame height corresponding to different tree crown heights;

[0020] Adjust the trunk diameters in the updated 3D vegetation model and record the flame heights corresponding to different trunk diameters.

[0021] Furthermore, the determining of the influence relationship between all tree parameters and flame height according to each tree parameter and the corresponding flame height includes:

[0022] According to each tree parameter and the corresponding flame height, determining that the tree height and the crown height are in a linear relationship with the flame height, and that the square of the trunk diameter is in a linear relationship with the flame height;

[0023] The influence relationship between all tree parameters and flame height is determined based on the linear relationship.

[0024] Furthermore, the flame height prediction of vegetation burning also includes:

[0025] The influence relationship is converted into the following calculation formula:

[0026] H max =d(a·H1+b·H2+c·D 2 +k1) P +k2

[0027] Among them, H max is the maximum flame height, H1 is the tree height, H2 is the crown height, D is the trunk diameter, a is the tree height influence coefficient, b is the crown height influence coefficient, c is the trunk diameter influence coefficient, d is the current air pressure influence coefficient, p is the current air pressure influence index, k1 and k2 are both error terms.

[0028] The present invention also provides a flame height prediction device for vegetation burning, comprising:

[0029] A combustion test data recording module, used to record test data of the vegetation combustion test, wherein the test data includes tree parameters, environmental parameters and maximum flame height of the test trees, and the tree parameters of the test trees include tree height, crown height and trunk diameter;

[0030] A three-dimensional vegetation model construction module, used to construct a three-dimensional vegetation model according to the tree parameters of the test tree, and to set corresponding tree material parameters in the trunk part and the crown part of the three-dimensional vegetation model respectively to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters;

[0031] A final tree material parameter determination module is used to perform a simulated combustion simulation based on the environmental parameters and the updated three-dimensional vegetation model, and determine the tree material parameters when the combustion obtains the maximum flame height as the final tree material parameters;

[0032] A simulation module, used to perform simulation with the final tree material parameters and one of the tree parameters, and record each tree parameter and the corresponding flame height;

[0033] The flame height determination module is used to determine the influence relationship between all tree parameters and flame height according to each tree parameter and the corresponding flame height, and determine the maximum flame height of the target tree according to the tree parameter of the target tree and the influence relationship.

[0034] The present invention also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the flame height prediction method for vegetation burning as described above.

[0035] After constructing a three-dimensional vegetation model and determining the final tree material parameters, the embodiment of the present invention uses the final tree material parameters and one of the tree parameters for simulation, records each tree parameter and the corresponding flame height, and thus determines the influence relationship between all tree parameters and the flame height. It is possible to obtain real data through simulation experiments and perform simulations, so that a large number of simulations can be performed with a single tree parameter under controlled variable conditions to ensure the diversity of data volume, thereby being able to accurately determine the influence relationship between all tree parameters and the flame height, and further effectively improve the flame height prediction effect of vegetation combustion.

[0036] Furthermore, the embodiment of the present invention determines the influence relationship between all tree parameters and flame height based on each tree parameter and the corresponding flame height, and can quickly and accurately predict the maximum flame height of the burning according to the tree parameters of the target tree, thereby effectively improving the efficiency of predicting the flame height of vegetation burning. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic flow chart of a method for predicting flame height of vegetation burning provided by an embodiment of the present invention;

[0038] Figure 2 is a schematic diagram of a simplified shape of a tree crown provided by an embodiment of the present invention;

[0039] Figure 3 is another schematic flow chart of the method for predicting the flame height of vegetation burning provided by an embodiment of the present invention;

[0040] Figure 4 It is a schematic diagram of the structure of a flame height prediction device for vegetation combustion provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0042] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0043] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0044] See also Figure 1 The present invention provides a method for predicting the flame height of vegetation burning, comprising:

[0045] S1. Record the test data of the vegetation burning test, including the tree parameters, environmental parameters and maximum flame height of the test trees. The tree parameters of the test trees include tree height, crown height and trunk diameter;

[0046] In an embodiment of the present invention, a low-pressure vegetation burning test can be conducted on the test trees. First, environmental parameters such as ambient air pressure and ambient temperature are recorded, as well as tree parameters of the test trees. A high-definition camera is used to observe and record the maximum flame height of the test trees during the burning process to evaluate the fire intensity.

[0047] S2. constructing a three-dimensional vegetation model according to the tree parameters of the test trees, and setting corresponding tree material parameters in the trunk part and the crown part of the three-dimensional vegetation model respectively, so as to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters;

[0048] In the embodiment of the present invention, FDS (Fire Dynamics Simulator) software can be used to build a three-dimensional vegetation model based on the test record data and process the later simulation data. In the three-dimensional vegetation model, the tree morphological structure can be divided into a trunk part, a crown part and a root part, and the root part has a small effect on vegetation burning. This embodiment only considers the effect of the trunk part and the crown part on vegetation burning.

[0049] In an embodiment of the present invention, a number of material parameters can be completely newly created in Pyrosim, or modified based on a known tree material parameter, specifically: Edit it Materials, select the material type Material Type (solid material), edit the parameter values ​​such as specific heat capacity, thermal conductivity, density, and heat of combustion to establish trunk material parameters and crown material parameters, and assign them to the trunk and crown parts in the three-dimensional vegetation model respectively.

[0050] S3, using environmental parameters and the updated three-dimensional vegetation model to simulate combustion, and determining the tree material parameters when the combustion obtains the maximum flame height as the final tree material parameters;

[0051] In an embodiment of the present invention, the environmental parameters of the simulated combustion simulation are set to be consistent with the environmental parameters of the vegetation combustion test. By running the FDS simulation and observing the flame height in the simulated combustion simulation, the tree material parameters are continuously adjusted until the simulation results are consistent with the maximum flame height observed in the test, and the current tree material parameters are determined as the final tree material parameters.

[0052] S4, using the final tree material parameters, respectively use one of the tree parameters to perform simulation, and record each tree parameter and the corresponding flame height;

[0053] In the embodiment of the present invention, in the model editing interface of Pyros im, the tree height, crown height, and trunk diameter of the tree parameters can be used as single variables, and one of the conditional variables can be changed separately each time to perform modeling simulation to reflect the influence of different variables on the burning height of the tree. For example, the tree height parameter can be adjusted to simulate the burning of trees of different tree heights; the crown height can be adjusted to simulate the influence of different proportions of the trunk and the crown on the fire intensity; and the trunk diameter can be changed to study the influence of the trunk diameter on the fire intensity.

[0054] The embodiment of the present invention can perform a large number of numerical simulations, record the variable parameter values ​​and key data of the maximum flame height of each simulation, and store these data in categories, so as to construct a tree size-fire intensity database under low pressure.

[0055] S5. Determine the influence relationship between all tree parameters and flame heights based on each tree parameter and the corresponding flame height, and determine the maximum flame height of the target tree based on the tree parameters and the influence relationship of the target tree.

[0056] In an embodiment of the present invention, based on each tree parameter and the corresponding flame height in the tree size-fire intensity database, the influence relationship between each variable condition and the maximum flame height of vegetation can be analyzed, including: selecting a corresponding fitting method according to data characteristics, such as linear regression, polynomial regression or nonlinear regression, etc., to construct a mathematical model including tree height, crown height and trunk diameter influencing factors, so that the maximum flame height of the target tree can be determined according to the tree parameters of the target tree.

[0057] After constructing a three-dimensional vegetation model and determining the final tree material parameters, the embodiment of the present invention uses the final tree material parameters and one of the tree parameters for simulation, records each tree parameter and the corresponding flame height, and thus determines the influence relationship between all tree parameters and the flame height. It is possible to obtain real data through simulation experiments and perform simulations, so that a large number of simulations can be performed with a single tree parameter under controlled variable conditions to ensure the diversity of data volume, thereby being able to accurately determine the influence relationship between all tree parameters and the flame height, and further effectively improve the flame height prediction effect of vegetation combustion.

[0058] In one embodiment, the environmental parameters include ambient air pressure and ambient temperature.

[0059] In an embodiment of the present invention, the ambient air pressure may be ambient low pressure to take into account the changes in vegetation combustion characteristics and tree parameters of trees under low pressure environments, and to improve the accuracy of vegetation flame height prediction under special low pressure environments, thereby effectively improving the comprehensiveness of vegetation combustion flame height prediction.

[0060] In one embodiment, step S2, setting corresponding tree material parameters in the trunk part and the crown part of the three-dimensional vegetation model respectively, includes:

[0061] The trunk part and the crown part are simplified respectively, and corresponding tree material parameters are set in the simplified trunk part and the crown part respectively.

[0062] In the embodiment of the present invention, different tree types have different morphologies. By simplifying the geometric shapes of the tree morphologies, the amount of data processed by the model can be effectively reduced while ensuring the accuracy of the prediction, thereby effectively reducing the prediction response speed and improving the efficiency of predicting the flame height of vegetation burning.

[0063] In one embodiment, the trunk part and the crown part are simplified respectively, including:

[0064] The trunk part is simplified into a cylindrical trunk, and the crown part is simplified into at least one of a conical trunk, a spindle-shaped crown and a hemispherical trunk.

[0065] In the embodiment of the present invention, the natural shape of the tree trunk is usually relatively regular, close to a cylinder, that is, a relatively regular three-dimensional structure. The embodiment of the present invention can simplify the trunk part into a cylindrical trunk.

[0066] See also Figure 2 The crown is the place where the most harmful crown fire occurs, and it is also the main component of the tree's combustible components. The crowns of different trees are different. In the embodiment of the present invention, the crown part is simplified into a conical trunk, a spindle-shaped crown, and a hemispherical trunk, which are respectively Figure 2The shown ones are type I conical crown, type II spindle-shaped crown and type III hemispherical crown.

[0067] The embodiment of the present invention simplifies the trunk part into a cylindrical trunk and simplifies the crown part into at least one of a conical trunk, a spun-conical crown and a hemispherical trunk. This can further ensure the prediction accuracy while effectively reducing the amount of data processed by the model, thereby further effectively reducing the flame height prediction response speed and improving the flame height prediction efficiency of vegetation burning.

[0068] In one embodiment, the wood material parameters include thermal conductivity, density, and heat of combustion.

[0069] In the embodiment of the present invention, there are significant differences in the composition and combustion characteristics of the trunk and the crown. The trunk is mainly composed of wood, and its combustion characteristics are relatively stable. The crown is composed of leaves and branches, and its combustion characteristics are different from those of wood. Its combustion calorific value is higher and the combustion speed is faster. The embodiment of the present invention can set corresponding material parameters according to the different combustion properties of different parts of the tree.

[0070] In one embodiment, a simulation is performed using one of the tree parameters, and each tree parameter and the corresponding flame height are recorded, including:

[0071] Adjust the tree heights in the updated 3D vegetation model and record the flame heights corresponding to different tree heights;

[0072] Adjust the tree crown height in the updated 3D vegetation model and record the flame height corresponding to different tree crown heights;

[0073] Adjust the trunk diameters in the updated 3D vegetation model and record the flame heights corresponding to different trunk diameters.

[0074] In one embodiment, according to each tree parameter and the corresponding flame height, determining the influence relationship between all tree parameters and flame height includes:

[0075] According to each tree parameter and the corresponding flame height, it is determined that the tree height and crown height have a linear relationship with the flame height, and the square of the trunk diameter has a linear relationship with the flame height;

[0076] The influence of all tree parameters on flame height was determined based on linear relationships.

[0077] In one embodiment, the influence of tree height and crown height on the maximum flame height is linear, and the influence relationship can be expressed by linear coefficients a and b; the trunk diameter is in a square relationship with the trunk cross section, and the trunk cross section is in a linear relationship with the vegetation burning height. The maximum flame height is in a linear relationship with the square of the trunk diameter, and c·D can be used to express the influence relationship. 2 Indicates the relationship between the two.

[0078] In one embodiment, the ambient pressure can also be used as a variable to determine the influence of the ambient pressure on the solid combustion characteristics. In the embodiment of the present invention, the influence of the ambient pressure on the solid combustion characteristics is studied as an exponential relationship, and d and p can be used to represent the influence relationship, and k1 and k2 represent the error terms of other influencing factors, wherein the other influencing factors can be combustion conditions, oxygen concentration, etc.

[0079] In the embodiment of the present invention, the influence relationship is converted into the following calculation formula:

[0080] H max =d(a·H1+b·H2+c·D 2 +k1) P +k2;

[0081] Among them, H max is the maximum flame height, H1 is the tree height, H2 is the crown height, D is the trunk diameter, a is the tree height influence coefficient, b is the crown height influence coefficient, c is the trunk diameter influence coefficient, d is the current air pressure influence coefficient, p is the current air pressure influence index, k1 and k2 are both error terms.

[0082] The embodiment of the present invention can obtain the tree parameters of the target tree, and according to the tree parameters and the above calculation formula, can calculate the maximum flame height of the target tree burning in the current environment, thereby being able to accurately predict the flame height of the target tree.

[0083] See also Figure 3 In one embodiment, another flowchart of a method for predicting flame height of vegetation burning is provided.

[0084] The implementation of the embodiments of the present invention has the following beneficial effects:

[0085] After constructing a three-dimensional vegetation model and determining the final tree material parameters, the embodiment of the present invention uses the final tree material parameters and one of the tree parameters for simulation, records each tree parameter and the corresponding flame height, and thus determines the influence relationship between all tree parameters and the flame height. It is possible to obtain real data through simulation experiments and perform simulations, so that a large number of simulations can be performed with a single tree parameter under controlled variable conditions to ensure the diversity of data volume, thereby being able to accurately determine the influence relationship between all tree parameters and the flame height, and further effectively improve the flame height prediction effect of vegetation combustion.

[0086] Furthermore, the embodiment of the present invention determines the influence relationship between all tree parameters and flame height based on each tree parameter and the corresponding flame height, and can quickly and accurately predict the maximum flame height of the burning according to the tree parameters of the target tree, thereby effectively improving the efficiency of predicting the flame height of vegetation burning.

[0087] See also Figure 4 Based on the same inventive concept as the above embodiment, the present invention also provides a flame height prediction device for vegetation burning, comprising:

[0088] The combustion test data recording module 10 is used to record the test data of the vegetation combustion test, the test data including the tree parameters, environmental parameters and maximum flame height of the test trees, the tree parameters of the test trees including the tree height, crown height and trunk diameter;

[0089] The three-dimensional vegetation model construction module 20 is used to construct a three-dimensional vegetation model according to the tree parameters of the test tree, and to set corresponding tree material parameters in the trunk part and the crown part of the three-dimensional vegetation model respectively to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters;

[0090] The final tree material parameter determination module 30 is used to perform a combustion simulation based on the updated three-dimensional vegetation model using environmental parameters, and determine the tree material parameters when the combustion obtains the maximum flame height as the final tree material parameters;

[0091] A simulation module 40 is used to perform simulation with the final tree material parameters and one of the tree parameters, and record each tree parameter and the corresponding flame height;

[0092] The flame height determination module 50 is used to determine the influence relationship between all tree parameters and flame height according to each tree parameter and the corresponding flame height, and determine the maximum flame height of the target tree according to the tree parameters of the target tree and the influence relationship.

[0093] In one embodiment, the environmental parameters include ambient air pressure and ambient temperature.

[0094] In one embodiment, corresponding tree material parameters are set in the trunk part and the crown part of the three-dimensional vegetation model respectively, including:

[0095] The trunk part and the crown part are simplified respectively, and corresponding tree material parameters are set in the simplified trunk part and the crown part respectively.

[0096] In one embodiment, the trunk part and the crown part are simplified respectively, including:

[0097] The trunk part is simplified into a cylindrical trunk, and the crown part is simplified into at least one of a conical trunk, a spindle-shaped crown and a hemispherical trunk.

[0098] In one embodiment, the wood material parameters include thermal conductivity, density, and heat of combustion.

[0099] In one embodiment, a simulation is performed using one of the tree parameters, and each tree parameter and the corresponding flame height are recorded, including:

[0100] Adjust the tree heights in the updated 3D vegetation model and record the flame heights corresponding to different tree heights;

[0101] Adjust the tree crown height in the updated 3D vegetation model and record the flame height corresponding to different tree crown heights;

[0102] Adjust the trunk diameters in the updated 3D vegetation model and record the flame heights corresponding to different trunk diameters.

[0103] In one embodiment, according to each tree parameter and the corresponding flame height, determining the influence relationship between all tree parameters and flame height includes:

[0104] According to each tree parameter and the corresponding flame height, it is determined that the tree height and crown height have a linear relationship with the flame height, and the square of the trunk diameter has a linear relationship with the flame height;

[0105] The influence of all tree parameters on flame height was determined based on linear relationships.

[0106] In one embodiment, the flame height prediction device for vegetation burning further includes:

[0107] Convert the influence relationship into the following calculation formula:

[0108] H max =d(a·H1+b·H2+c·D 2 +k1) P +k2;

[0109] Among them, H max is the maximum flame height, H1 is the tree height, H2 is the crown height, D is the trunk diameter, a is the tree height influence coefficient, b is the crown height influence coefficient, c is the trunk diameter influence coefficient, d is the current air pressure influence coefficient, p is the current air pressure influence index, k1 and k2 are both error terms.

[0110] Accordingly, an embodiment of the present invention further provides a terminal device, comprising: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for predicting the flame height of vegetation burning according to any one of the above embodiments is implemented.

[0111] The terminal device of this embodiment includes: a processor, a memory, and a computer program and computer instructions stored in the memory and executable on the processor. When the processor executes the computer program, each step in the above embodiment 1 is implemented, for example Figure 1 Alternatively, when the processor executes the computer program, the functions of each module / unit in the above device embodiment, such as the flame height determination module 50, are implemented.

[0112] Exemplarily, the computer program may be divided into one or more modules / units, one or more modules / units are stored in a memory and executed by a processor to complete the present invention. One or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program in a terminal device. For example, the flame height determination module 50 is used to determine the influence relationship between all tree parameters and the flame height according to each tree parameter and the corresponding flame height, and determine the maximum flame height of the target tree according to the tree parameter of the target tree and the influence relationship.

[0113] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the schematic diagram is merely an example of a terminal device and does not constitute a limitation on the terminal device. The terminal device may include more or fewer components than shown in the diagram, or may combine certain components, or different components. For example, the terminal device may also include an input / output device, a network access device, a bus, etc.

[0114] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0115] The memory can be used to store computer programs and / or modules. The processor realizes various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile terminal, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Med iaCard, SMC), a secure digital (Secure Digital, SD) card, a flash card (Fl ash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0116] Among them, if the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0117] Accordingly, an embodiment of the present invention further provides a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for predicting the flame height of vegetation burning as described in any one of the above embodiments.

[0118] The above specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for predicting flame height of vegetation combustion, characterized in that: include: Recording test data of the vegetation burning test, the test data including tree parameters of the test trees, environmental parameters and maximum flame height, the tree parameters of the test trees including tree height, crown height and trunk diameter; Constructing a three-dimensional vegetation model according to the tree parameters of the test tree, and setting corresponding tree material parameters in the trunk part and the crown part of the three-dimensional vegetation model respectively, so as to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters; Using the environmental parameters and the updated three-dimensional vegetation model to perform a combustion simulation, and determining the tree material parameters when the maximum flame height is obtained as the final tree material parameters; Using the final tree material parameters, respectively use one of the tree parameters to perform simulation, and record each tree parameter and the corresponding flame height; According to each tree parameter and the corresponding flame height, the influence relationship between all tree parameters and flame height is determined, and according to the tree parameter of the target tree and the influence relationship, the maximum flame height of the target tree is determined.

2. The method for predicting flame height of vegetation burning according to claim 1, characterized in that: The environmental parameters include ambient air pressure and ambient temperature.

3. The method for predicting flame height of vegetation burning according to claim 1, characterized in that: Corresponding tree material parameters are respectively set in the trunk part and the crown part of the three-dimensional vegetation model, including: The trunk part and the crown part are simplified respectively, and corresponding tree material parameters are set in the simplified trunk part and the crown part respectively.

4. The method for predicting flame height of vegetation burning according to claim 1, characterized in that: The respectively simplifying the trunk part and the crown part comprises: The trunk portion is simplified into a cylindrical trunk, and the crown portion is simplified into at least one of a conical trunk, a spindle-shaped crown and a hemispherical trunk.

5. The method for predicting flame height of vegetation burning according to claim 1, characterized in that: The wood material parameters include thermal conductivity, density and heat of combustion.

6. The method for predicting flame height of vegetation burning according to claim 1, characterized in that: The simulation is performed using one of the tree parameters respectively, and each tree parameter and the corresponding flame height are recorded, including: Adjust the tree heights in the updated 3D vegetation model and record the flame heights corresponding to different tree heights; Adjust the tree crown height in the updated 3D vegetation model and record the flame height corresponding to different tree crown heights; Adjust the trunk diameters in the updated 3D vegetation model and record the flame heights corresponding to different trunk diameters.

7. The method for predicting flame height of vegetation burning according to claim 1, characterized in that: The determining of the influence relationship between all tree parameters and the flame height according to each tree parameter and the corresponding flame height includes: According to each tree parameter and the corresponding flame height, determining that the tree height and the crown height are in a linear relationship with the flame height, and that the square of the trunk diameter is in a linear relationship with the flame height; The influence relationship between all tree parameters and flame height is determined based on the linear relationship.

8. The method for predicting flame height of vegetation burning according to claim 1, characterized in that: Also includes: The influence relationship is converted into the following calculation formula: H max =d(a·H1+b·H2+c·D 2 +k1) P +k2 Among them, H max is the maximum flame height, H1 is the tree height, H2 is the crown height, D is the trunk diameter, a is the tree height influence coefficient, b is the crown height influence coefficient, c is the trunk diameter influence coefficient, d is the current air pressure influence coefficient, p is the current air pressure influence index, k1 and k2 are both error terms.

9. A flame height prediction device for vegetation combustion, characterized in that: include: A combustion test data recording module, used to record test data of the vegetation combustion test, wherein the test data includes tree parameters, environmental parameters and maximum flame height of the test trees, and the tree parameters of the test trees include tree height, crown height and trunk diameter; A three-dimensional vegetation model construction module, used to construct a three-dimensional vegetation model according to the tree parameters of the test tree, and to set corresponding tree material parameters in the trunk part and the crown part of the three-dimensional vegetation model respectively to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters; A final tree material parameter determination module is used to perform a simulated combustion simulation based on the environmental parameters and the updated three-dimensional vegetation model, and determine the tree material parameters when the combustion obtains the maximum flame height as the final tree material parameters; A simulation module, used to perform simulation with the final tree material parameters and one of the tree parameters, and record each tree parameter and the corresponding flame height; The flame height determination module is used to determine the influence relationship between all tree parameters and flame height according to each tree parameter and the corresponding flame height, and determine the maximum flame height of the target tree according to the tree parameter of the target tree and the influence relationship.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program; wherein, when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for predicting the flame height of vegetation burning according to any one of claims 1 to 8.

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