A vegetation combustion flame height prediction method and device and a storage medium

Abstract

The application discloses a vegetation combustion flame height prediction method and device and a storage medium, wherein the method comprises the following steps: recording test data of a vegetation combustion test, the test data comprising tree parameters, environment parameters and maximum flame height of test trees; constructing a three-dimensional vegetation model according to the tree parameters of the test trees, setting corresponding tree material parameters in the trunk part and the crown part, respectively, and simulating each tree parameter, respectively, and recording each tree parameter and the corresponding flame height; determining the influence relationship between all the tree parameters and the flame height according to each tree parameter and the corresponding flame height; and determining the maximum flame height of a target tree according to the tree parameters of the target tree and the influence relationship. The application can perform a large amount of simulation with a single tree parameter under the condition of controlling variables, guarantee the diversity of the data quantity, and effectively improve the flame height prediction effect of the vegetation combustion.

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 the flame height of vegetation combustion. Background Art

[0002] Overhead transmission lines often pass through areas with dense vegetation. When a wildfire occurs due to burning vegetation near the lines, the high electrical conductivity of the vegetation fire, as well as the high temperature and smoke particles generated by the combustion, can 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 the transmission lines. The greater the fire intensity, the more serious the damage.

[0003] Existing methods for predicting flame height during vegetation burning typically use data from simulation experiments to fit formulas and achieve flame height prediction. However, in simulation experiments, it is difficult to conduct a large number of experiments with tree parameters under controlled variables, and the amount of experimental data obtained is small, resulting in poor prediction of flame height during 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 based on the tree parameters of the test tree, and setting corresponding tree material parameters in the trunk and crown of the three-dimensional vegetation model to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters;

[0008] Performing a combustion simulation based on the updated three-dimensional vegetation model using the environmental parameters, and determining the tree material parameters when the combustion obtains the maximum flame height as the final tree material parameters;

[0009] Using the final tree material parameters, simulate one of the tree parameters respectively, 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 and crown of the three-dimensional vegetation model, including:

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

[0014] Furthermore, the simplification processing 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 based on 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 relationships of all tree parameters and flame height are 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, for recording test data of a vegetation combustion test, wherein the test data includes tree parameters of the test trees, environmental parameters, and maximum flame height, wherein the tree parameters of the test trees include tree height, crown height, and trunk diameter;

[0030] a three-dimensional vegetation model construction module, configured to construct a three-dimensional vegetation model based on the tree parameters of the test tree, and to set corresponding tree material parameters in the trunk and crown of the three-dimensional vegetation model 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, configured to perform a combustion simulation based on the updated three-dimensional vegetation model using the environmental parameters, and determine the tree material parameters when the combustion reaches the maximum flame height as the final tree material parameters;

[0032] a simulation module, configured to perform simulation using 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 to 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, ensuring the diversity of the data volume, thereby accurately determining the influence relationship between all tree parameters and the flame height, and thus effectively improving 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 vegetation burning flame height prediction. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0039] Figure 3 This is another 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 structural schematic diagram of a flame height prediction device for vegetation combustion provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts 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 to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the features. 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 expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the 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 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 based on the tree parameters of the test tree, and setting corresponding tree material parameters in the trunk and crown of the three-dimensional vegetation model to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters;

[0048] In this embodiment of the present invention, FDS (Fire Dynamics Simulator) software can be used to construct a three-dimensional vegetation model based on experimental data and process subsequent simulation data. In this three-dimensional vegetation model, the tree morphology can be divided into trunk, crown, and root. Since the root has a relatively small impact on vegetation combustion, this embodiment only considers the impact of the trunk and crown on vegetation combustion.

[0049] In an embodiment of the present invention, material parameters can be completely newly created in Pyros im, or modified based on known tree material parameters. Specifically, edit materials, select material type (solid material), edit parameter values ​​such as specific heat capacity, thermal conductivity, density, and combustion heat 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. Performing a combustion simulation based on the updated three-dimensional vegetation model using the environmental parameters, and determining the tree material parameters when the combustion reaches 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, simulate one of the tree parameters respectively, and record each tree parameter and the corresponding flame height;

[0053] In this embodiment of the present invention, in the Pyros im model editing interface, tree height, crown height, and trunk diameter can be used as single variables. Simulation can be performed by varying one of these variables individually at a time to reflect the impact of different variables on tree burning height. For example, adjusting the tree height parameter can simulate burning conditions at different tree heights; adjusting the crown height can simulate the impact of varying trunk-to-crown ratios on fire intensity; and varying the trunk diameter can study the impact of trunk diameter on 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 a classified manner, 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 of the target tree and the influence relationship.

[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, 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 based on 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 the data volume, thereby accurately determining the influence relationship between all tree parameters and the flame height, and thus effectively improving 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 can be an ambient low pressure to take into account the vegetation combustion characteristics and tree parameters that change in a low-pressure environment, and to improve the accuracy of vegetation flame height prediction in a special low-pressure environment, 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 and crown of the three-dimensional vegetation model, respectively, includes:

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

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

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

[0064] 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.

[0065] In the embodiment of the present invention, the natural shape of a 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 dangerous crown fire occurs and 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 types are conical crown type I, spindle crown type II and hemispherical crown type III.

[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 spindle-shaped crown and a hemispherical trunk. This can further ensure the accuracy of the prediction while effectively reducing the amount of data processed by the model, thereby further effectively reducing the response speed of the flame height prediction and improving the efficiency of the flame height prediction of vegetation combustion.

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

[0069] In the embodiments of the present invention, the composition and combustion characteristics of tree trunks and crowns differ significantly. The trunk is primarily composed of wood, and its combustion characteristics are relatively stable. The crown, composed of leaves and branches, has different combustion characteristics from wood, with a higher calorific value and a faster combustion rate. In the embodiments of the present invention, corresponding material parameters can be set based on the different combustion properties of different parts of the tree.

[0070] In one embodiment, 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, determining the influence relationship between all tree parameters and flame height based on each tree parameter and the corresponding 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, while 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, ambient pressure can also be used as a variable to determine the relationship between ambient pressure and solid combustion characteristics. In this embodiment of the present invention, the relationship between ambient pressure and solid combustion characteristics is studied as an exponential relationship. d and p can be used to represent the influence relationship, and k1 and k2 can represent the error terms of other influencing factors, where 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, the maximum flame height of the target tree burning in the current environment can be calculated, thereby accurately predicting 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 the data volume, thereby accurately determining the influence relationship between all tree parameters and the flame height, and thus effectively improving 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 vegetation burning flame height prediction.

[0087] See also Figure 4 Based on the same inventive concept as the above embodiment, the present invention further 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 of the test trees, environmental parameters and maximum flame height, and the tree parameters of the test trees include 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 based on the tree parameters of the test tree, and set corresponding tree material parameters in the trunk and crown of the three-dimensional vegetation model 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 the environmental parameters, and determine the tree material parameters when the combustion reaches the maximum flame height as the final tree material parameters;

[0091] The simulation module 40 is used to perform simulation using 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 and crown of the three-dimensional vegetation model, including:

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

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

[0097] 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.

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

[0099] In one embodiment, 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, determining the influence relationship between all tree parameters and flame height based on each tree parameter and the corresponding 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 comprises:

[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 also 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 capable of running on the processor. When the processor executes the computer program, each step in the above embodiment 1 is implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of the modules / units in the above device embodiment, such as the flame height determination module 50, are implemented.

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

[0113] Terminal devices can be computing devices such as desktop computers, laptops, PDAs, and cloud servers. Terminal devices may include, but are not limited to, processors and memory. Those skilled in the art will appreciate that the schematic diagrams are merely examples of terminal devices and do not limit the scope of terminal devices. Terminal devices may include more or fewer components than shown, or combinations of certain components, or different components. For example, terminal devices may also include input / output devices, network access devices, buses, and the like.

[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), 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. The processor is the control center of the terminal device and connects various parts of the entire terminal device using various interfaces and lines.

[0115] The memory can be used to store computer programs and / or modules. The processor implements 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 based on 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 (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[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 process 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 when the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. 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, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), 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, computer-readable media do not include electric carrier signals and telecommunication signals.

[0117] Accordingly, an embodiment of 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 method for predicting the flame height of vegetation combustion as described in any one of the above embodiments.

[0118] The above specific embodiments further illustrate the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention for those skilled in the art.

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, and the environmental parameters including ambient air pressure and ambient temperature; Constructing a three-dimensional vegetation model based on the tree parameters of the test tree, and setting corresponding tree material parameters in the trunk and crown of the three-dimensional vegetation model to update the three-dimensional vegetation model; wherein the tree material parameters include trunk material parameters and crown material parameters; Performing a combustion simulation based on the updated three-dimensional vegetation model using the environmental parameters, and determining the tree material parameters when the combustion obtains the maximum flame height as the final tree material parameters; Using the final tree material parameters, simulate one of the tree parameters respectively, and record each tree parameter and the corresponding flame height; Based on each tree parameter and the corresponding flame height, the influence relationship between all tree parameters and the flame height is determined, and based on the tree parameters of the target tree and the influence relationship, the maximum flame height of the target tree is determined; the determination of the influence relationship between all tree parameters and the flame height based on each tree parameter and the corresponding flame height includes: based on 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; and determining the influence relationship between all tree parameters and the flame height based on the linear relationship.

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

3. The method for predicting flame height of vegetation burning according to claim 2, wherein: The respectively simplifying the trunk part and the crown part includes: 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.

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

5. The method for predicting flame height of vegetation burning according to claim 1, wherein: 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.

6. The method for predicting flame height of vegetation burning according to claim 1, wherein: 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.

7. A flame height prediction device for vegetation combustion, characterized in that: include: a combustion test data recording module, for recording test data of a vegetation combustion test, wherein the test data includes tree parameters of the test trees, environmental parameters, and maximum flame height; the tree parameters of the test trees include tree height, crown height, and trunk diameter; and the environmental parameters include ambient air pressure and ambient temperature; a three-dimensional vegetation model construction module, configured to construct a three-dimensional vegetation model based on the tree parameters of the test tree, and to set corresponding tree material parameters in the trunk and crown of the three-dimensional vegetation model 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, configured to perform a combustion simulation based on the updated three-dimensional vegetation model using the environmental parameters, and determine the tree material parameters when the combustion reaches the maximum flame height as the final tree material parameters; a simulation module, configured to perform simulation using 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 based on each tree parameter and the corresponding flame height, and determine the maximum flame height of the target tree based on the tree parameter of the target tree and the influence relationship; the determination of the influence relationship between all tree parameters and flame height based on each tree parameter and the corresponding flame height includes: 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 based on each tree parameter and the corresponding flame height; and determining the influence relationship between all tree parameters and flame height based on the linear relationship.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium 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 method for predicting the flame height of vegetation combustion according to any one of claims 1 to 6.

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