High-altitude plume radiance image rapid generation method
By establishing the mapping relationship between flight speed, flight altitude and core radiation brightness, combined with linear difference and normalization processing, the radiation brightness image of the engine plume in a thin high altitude environment is quickly generated, which solves the problem of long calculation time of traditional methods and achieves fast and effective radiation brightness generation.
Patent Information
- Application Number
- CN202411723860.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-28
- Publication Date
- 2025-03-21
AI Technical Summary
The traditional infrared radiation brightness image calculation method has a long calculation time in a thin high altitude environment, which cannot meet the requirement of rapidly generating plume infrared radiation brightness.
By collecting multiple sample data, the mapping relationship between flight speed, flight altitude and core radiation brightness is established, the core radiation brightness at the target position is determined by using the linear difference method, and the change law of radiation brightness distribution is obtained through normalization processing, and the radiation brightness distribution at the target position is finally obtained.
It realizes the rapid and effective generation of engine plume radiation brightness images in thin high altitude environments, and meets the rapid generation of infrared radiation brightness at any target location in the project.
Smart Images

Figure CN119672145A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of radiation brightness image generation, and in particular to a method for quickly generating a high-altitude plume radiation brightness image. Background Art
[0002] In the rarefied environment at high altitude, the engine jet expands and diffuses rapidly at high altitude, and its infrared radiation brightness will affect optical detection and target positioning. The traditional infrared radiation brightness image calculation method is to numerically solve the radiation transfer equation. This method takes a long time to calculate and cannot meet the needs of rapid generation of infrared radiation brightness of plumes at any target position in engineering. Summary of the invention
[0003] The embodiment of the present invention provides a method for quickly generating a high-altitude plume radiation brightness image, which can quickly obtain infrared radiation brightness.
[0004] The embodiment of the present invention provides a method for quickly generating a high-altitude plume radiation brightness image, comprising:
[0005] Collect multiple sample data and establish a core radiation brightness mapping relationship between flight speed, flight altitude and core radiation brightness; wherein each sample data includes flight altitude, flight speed and radiation brightness distribution;
[0006] Determining the core radiation brightness of the target by a linear difference method according to the core brightness mapping relationship and the position of the target; wherein the position of the target includes the current flight altitude and flight speed;
[0007] Selecting sample data whose position is closest to the position of the target from among the plurality of sample data and marking it as target data;
[0008] Normalizing the target data to obtain a variation law of radiation brightness distribution;
[0009] According to the variation rule and the core radiation brightness of the target, the radiation brightness distribution of the target is obtained.
[0010] In a possible design, the collecting of multiple sample data and establishing a core radiation brightness mapping relationship between the flight speed, the flight altitude and the core radiation brightness includes:
[0011] Collect multiple sample data;
[0012] Extracting the core radiance in the radiance distribution of multiple sample data;
[0013] A core radiance mapping relationship between flight speed, flight altitude and core radiance is established.
[0014] In a possible design, selecting, from the plurality of sample data, sample data whose location is closest to the location of the target includes:
[0015] The flight altitude and flight speed in the target data are determined by the following formula:
[0016]
[0017] Among them, V a is the target’s flight speed, H a is the target flight altitude, is a vector composed of flight speed data in multiple sample data, is a vector composed of flight height data in multiple sample data, V i is the flight speed of the target data, H j is the flight altitude of the target data;
[0018] V i , H i After determination, the radiation brightness distribution of the corresponding sample data can be obtained.
[0019] In one possible design, it also includes:
[0020] If V a and H a If the flight speed and altitude are not within the range of the sample data, the following formula is used to obtain V a and H a The flight speed and altitude values closest to the sample data are:
[0021]
[0022] In a possible design, the target data is normalized by the following formula:
[0023] Normal_R=S(V i ,H j ) / R m_ij
[0024] Among them, Normal_R is the change rule, R m_ij is the core radiance of the target, S(V i ,H j ) is the radiation brightness distribution of the target data.
[0025] In a possible design, the radiation brightness distribution of the target is obtained according to the variation law and the core radiation brightness of the target, which is implemented by the following formula:
[0026] R(Va ,H a )=Normal_R·R m_ij
[0027] Among them, R(V a ,H a ) is the radiation brightness distribution of the target.
[0028] Compared with the prior art, the present invention has at least the following beneficial effects:
[0029] This patent proposes an engineering method, which uses a series of sample data to quickly and quickly characterize the infrared radiation brightness of any target point by establishing a correlation between the radiation brightness of the target position and the sample data.
[0030] This patent calculates the radiation brightness of the core area of the target position based on sample data, uses the target position to determine the sample data that is most similar to the sample data change law, normalizes the sample data to obtain its image change law, and combines the target core area radiation brightness and the most recent sample image change law to obtain the radiation brightness distribution at the target position. The present invention uses the change law of sample data related to the target position and the core area radiation brightness calculated based on the sample data to achieve rapid and effective generation of engine plume radiation brightness images in a high-altitude sparse environment. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0032] Figure 1 It is a flow chart of a method for quickly generating a high-altitude plume radiation brightness image provided by an embodiment of the present invention;
[0033] Figure 2 An embodiment of the present invention provides an infrared radiation brightness distribution diagram obtained by solving a radiation transfer equation;
[0034] Figure 3 This is an infrared radiation brightness distribution diagram calculated using the method of this patent and provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0035] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0036] In the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance; unless otherwise specified or explained, the term "multiple" refers to two or more; the terms "connected" and "fixed" should be understood in a broad sense, for example, "connected" can be a fixed connection, a detachable connection, an integral connection, or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0037] In the description of this specification, it should be understood that the directional words such as "upper" and "lower" described in the embodiments of the present invention are described at the angles shown in the drawings and should not be understood as limiting the embodiments of the present invention. In addition, in the context, it should also be understood that when it is mentioned that an element is connected to another element "upper" or "lower", it can not only be directly connected to another element "upper" or "lower", but also indirectly connected to another element "upper" or "lower" through an intermediate element.
[0038] like Figure 1 As shown, the method for quickly generating an engine plume radiation brightness image in a high-altitude rarefied environment provided by an embodiment of the present invention may include the following steps:
[0039] Step S101: Sample data includes three flight speeds Four flight levels The radiation brightness results are extracted respectively, and the maximum value of the radiation brightness image is obtained to obtain the corresponding core brightness generation sequence The flight speed and altitude of the target position A are V a , H a , the core area radiation brightness R corresponding to the target position A is calculated by the linear difference method m_ij ;
[0040] Step S102: Compare the flight speed and altitude V corresponding to the target position A a , H a Respectively and In the position, assuming Va Closest to V2, H a Closest to H1, then the variation law of the sample data S(V2,H1) can be used to represent the variation law of the radiation brightness at the target position A, and the sample data S(V2,H1) is normalized, that is,
[0041] Normal_R=S(V2,H1) / R 12
[0042] Then the radiation brightness variation law of the target position A is obtained;
[0043] Step S103: Comprehensive target location A core area radiance R m_ij The radiation brightness distribution at the target position can be obtained by using the image change law Normal_R, that is:
[0044] R(V a ,H a )=Normal_R·R m_ij
[0045] Figure 2 and Figure 3 They respectively represent the radiation brightness simulation result and the rapid generation result of a target position, and the relative error between the two is 8.99%.
[0046] It should be noted that the flight altitude in the sample data needs to be above 100km, and the flight speed can be 2000-3500m / s.
[0047] In summary, this patent calculates the radiation brightness of the core area of the target position based on sample data, uses the target position to determine the sample data that is most similar to the sample data change law, normalizes the sample data to obtain its image change law, and comprehensively combines the target core area radiation brightness and the most recent sample image change law to obtain the radiation brightness distribution at the target position. The present invention uses the change law of sample data related to the target position and the core area radiation brightness calculated based on the sample data to achieve rapid, effective and rapid generation of engine plume radiation brightness images in a high-altitude sparse environment.
[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for quickly generating a high-altitude plume radiation brightness image, characterized in that: include: Collect multiple sample data and establish a core radiation brightness mapping relationship between flight speed, flight altitude and core radiation brightness; wherein each sample data includes flight altitude, flight speed and radiation brightness distribution; Determining the core radiation brightness of the target by a linear difference method according to the core brightness mapping relationship and the position of the target; wherein the position of the target includes the current flight altitude and flight speed; Selecting sample data whose position is closest to the position of the target from among the plurality of sample data and marking it as target data; Normalizing the target data to obtain a variation law of radiation brightness distribution; According to the variation rule and the core radiation brightness of the target, the radiation brightness distribution of the target is obtained.
2. The method according to claim 1, characterized in that: The collecting of a plurality of sample data and establishing a core radiation brightness mapping relationship between the flight speed, the flight altitude and the core radiation brightness includes: Collect multiple sample data; Extracting the core radiance in the radiance distribution of multiple sample data; A core radiance mapping relationship between flight speed, flight altitude and core radiance is established.
3. The method according to claim 1, characterized in that: The selecting, from the plurality of sample data, sample data whose position is closest to the position of the target comprises: The flight altitude and flight speed in the target data are determined by the following formula: Among them, V a is the target’s flight speed, H a is the target flight altitude, is a vector composed of flight speed data in multiple sample data, is a vector composed of flight height data in multiple sample data, V i is the flight speed of the target data, H j is the flight altitude of the target data; V i , H i After determination, the radiation brightness distribution of the corresponding sample data can be obtained.
4. The method according to claim 3, characterized in that Also includes: If V a and H a If the flight speed and altitude are not within the range of the sample data, the following formula is used to obtain V a and H a The flight speed and altitude values closest to the sample data are:
5. The method according to claim 3, characterized in that: The target data is normalized by the following formula: Normal_R=S(V i ,H j ) / R m_ij Among them, Normal_R is the change rule, R m_ij is the core radiance of the target, S(V i ,H j ) is the radiation brightness distribution of the target data.
6. The method according to claim 5, characterized in that The target radiation brightness distribution is obtained according to the variation law and the core radiation brightness of the target, which is achieved by the following formula: R(V a ,H a )=Normal_R·R m_ij Among them, R(V a ,H a ) is the radiation brightness distribution of the target.