A laser strike effect real-time estimation method and system for rapid deployment
By defining a standard reference environment and attenuation coefficient, a benchmark database is constructed. By using simplified calculation methods, the problem of high computational complexity or low accuracy in laser strike effect prediction in portable systems is solved, and fast and accurate laser strike effect estimation is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SICHUAN CREATION LASER TECH CO LTD
- Filing Date
- 2026-03-30
- Publication Date
- 2026-06-26
AI Technical Summary
Existing laser strike effect prediction technologies suffer from high computational complexity or low prediction accuracy in lightweight and portable systems, failing to meet the needs of rapid decision-making.
By defining standard reference environmental parameters and attenuation coefficients, a benchmark database is constructed. Using simplified physical models and algebraic calculations, the laser strike effect can be quickly estimated, including the benchmark minimum effective power density and breakdown time of the target material.
It enables decision-making within microseconds, reduces computing resource requirements, improves prediction accuracy, adapts to environmental changes, and meets the rapid response requirements of embedded platforms.
Smart Images
Figure CN122285692A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of laser application and real-time decision-making technology, and in particular relates to a method and system for real-time prediction of the effects of laser strikes for rapid deployment. Background Technology
[0002] Laser strike technology, with its precision and efficiency, has become a key technology in modern offensive and defensive systems. Real-time prediction of strike effects directly determines operational response speed and mission success rate. In practical applications, laser strike systems are often deployed in resource-constrained scenarios such as drones, vehicle-mounted platforms, and portable equipment. These scenarios place stringent demands on the system's computing power, size, power consumption, and cost, requiring both reliable strike effect prediction and millisecond-level rapid decision-making to meet the response needs of dynamic battlefield environments.
[0003] Currently, there are two main technical solutions in the field of laser strike effect prediction. One is the high-precision laser strike decision-making scheme. This type of scheme is based on complex physical models and achieves high-precision prediction by finely simulating multiple physical processes such as laser transmission, atmospheric attenuation, and target material effects. Its advantage lies in its high prediction accuracy, which can accurately match the strike effect under complex conditions. However, its computational complexity is extremely high, and it places stringent demands on the processor's computing power, requiring support from high-performance computing chips. This makes it impossible to integrate this type of scheme into embedded platforms with limitations in cost, size, and power consumption, greatly restricting its application in lightweight, portable laser strike systems.
[0004] Another type is the operator-based table lookup method. This method involves pre-compiling experience data on strike effects under different environmental and distance conditions to form a lookup table. In actual application, operators obtain the estimated results by looking up the table based on roughly observed environmental parameters on-site. Its advantage is its fast response speed and lack of complex calculations. However, its prediction accuracy is extremely low. The discreteness and subjectivity of the experience data lead to a large deviation between the predicted results and the actual strike effects. Secondly, it has extremely poor environmental adaptability. The table data is only applicable to specific preset environments. When encountering complex and changeable environments such as fog, haze, and rain, the preset data becomes completely invalid, requiring manual collection of experience data and updating of the table. It cannot achieve automated response and is seriously lagging behind the needs of rapid decision-making in modern battlefields.
[0005] Chinese patent application CN119476081B discloses a method and system for estimating the target laser power density required to burn through protective materials. The method according to this application includes: constructing a tightly coupled model between fluid, structural heat transfer, and laser through several sets of protective material ablation simulation tests; analyzing the factors affecting the laser ablation characteristics of the protective material using the tightly coupled model to obtain the main influencing factors; conducting simulation tests on the main influencing factors under different working conditions to obtain the laser ablation characteristics of the protective material under different main influencing factors, and then establishing a protective material laser ablation database; obtaining the ablation rate required to burn through the protective material; and obtaining the target laser power density required to burn through the protective material laser ablation database and the required ablation rate.
[0006] The aforementioned existing technologies are also based on complex physical models and lack portability. Summary of the Invention
[0007] The purpose of this invention is to provide a method and system for real-time prediction of laser strike effects for rapid deployment, which partially solves or alleviates the above-mentioned shortcomings in the prior art. It has extremely low computational load, fast response speed, and guarantees laser strike effects that are better than empirical estimates.
[0008] To solve the aforementioned technical problems, the present invention specifically adopts the following technical solution: A first aspect of the present invention is to provide a method for real-time prediction of the effects of laser strikes for rapid deployment, comprising: Define standard reference environmental parameters, calibrate standard attenuation coefficients and standard-to-target power; A benchmark database is constructed for several targets based on a standard reference environment, a standard attenuation coefficient, and a standard power to the target. The records in the benchmark database include the minimum effective power density of the target, the power density that breaks down the target under standard reference environment parameters, and the breakdown time. Collect target environmental parameters and calculate the power attenuation ratio between the target environmental parameters and the standard reference environmental parameters; The target-to-target power under the target environmental parameters is calculated based on the power attenuation ratio, and the target-to-target power density is calculated based on the target-to-target power. The baseline minimum effective power density of the target target is found based on the baseline database. When the target-to-target power is greater than or equal to the baseline minimum effective power density, the estimated breakdown time of the target target is calculated based on the target-to-target power, the power density of the target target breaking down the target under standard reference environmental parameters, and the breakdown time.
[0009] Furthermore, the standard attenuation coefficient is calculated using the formula:
[0010] Calculate; where, The standard attenuation coefficient, Where λ is the laser wavelength, V is the visibility, and q is the correction factor.
[0011] Furthermore, the standard-to-target power utilization formula is as follows:
[0012] Calculate; where P s Where P0 is the standard power of the target laser to the target, and L0 is the initial emitted power of the target laser per unit distance. The standard attenuation coefficient of the target laser.
[0013] Furthermore, the power density at which a certain target material breaks down under standard reference environmental parameters is calculated using the following formula:
[0014] Calculation; where Ws is the power density of the target material broken down under standard reference environmental parameters, P s r is the standard target power of the target laser. s The standard spot radius; Using the formula:
[0015] Calculate the standard spot radius; where r s The standard spot radius, Where λ is the laser wavelength, D is the laser transmission aperture, and M2 is the beam quality. To improve the system's aiming accuracy.
[0016] Furthermore, the power attenuation ratio between the target environmental parameters and the standard reference environmental parameters is calculated using the following formula:
[0017] Calculate; where η is the power attenuation ratio, L0 is the standard attenuation coefficient of the target laser, L0 is the distance per unit distance, and L is the distance to the target. current The attenuation coefficient is the value under the target environmental parameters.
[0018] Furthermore, the target-to-target power utilization formula is as follows:
[0019] Calculate; where P n For the target-to-target power, P s P0 is the standard power to the target laser, P0 is the initial emission power of the target laser, and η is the power attenuation ratio.
[0020] Furthermore, the target-to-target power density is calculated using the following formula:
[0021] Calculate; where W n For the target power density, P n For the target-to-target power, r n The radius from the target to the target.
[0022] Furthermore, methods for estimating the expected penetration time of the target material include using the formula:
[0023] Calculate the estimated breakdown time; where t n To estimate the breakdown time, W s W represents the power density at which the target material breaks down under standard reference environmental parameters. n For the target power density, t s This refers to the breakdown time of the target material under standard reference environmental parameters.
[0024] Furthermore, if the target-to-target power is less than the baseline minimum effective power density, it is determined to be non-penetrable.
[0025] This invention also provides a real-time prediction system for the effects of laser strikes in rapid deployment, comprising: The system prefabricated module is used to define standard reference environmental parameters, calibrate standard attenuation coefficients, and standard-to-target power. The benchmark database construction module is used to construct a benchmark database for several targets based on a standard reference environment, a standard attenuation coefficient, and a standard power to the target. The records in the benchmark database include the minimum effective power density of the target, the power density that breaks down the target under standard reference environment parameters, and the breakdown time. The environmental sensing module is used to collect target environmental parameters and calculate the power attenuation ratio between the target environmental parameters and the standard reference environmental parameters. The data processing module is used to calculate the target-to-target power under the target environmental parameters based on the power attenuation ratio, and to calculate the target-to-target power density based on the target-to-target power. The decision prediction module is used to find the baseline minimum effective power density of the target material based on the benchmark database; when the target-to-target power is greater than or equal to the baseline minimum effective power density, the estimated breakdown time of the target material is calculated based on the target-to-target power, the power density of the target material breaking down the target material under standard reference environmental parameters, and the breakdown time.
[0026] Beneficial effects: In this invention, the core computation of the entire real-time decision-making process is several orders of magnitude faster than existing algorithms based on complex physical models or database matching, and can complete the decision within microseconds. It does not require storing a large historical database, nor does it need to run complex interpolation or iterative algorithms, resulting in extremely low requirements for CPU, memory, and storage, making it a perfect fit for embedded hardware such as FPGAs, ASICs, or low-cost MCUs. While this invention sacrifices ultra-high precision under extreme conditions, through benchmark environment calibration and scaling conforming to physical laws, its prediction accuracy far exceeds that of manual experience-based lookup methods. It is sufficiently reliable in most practical environments, successfully achieving the optimal trade-off between accuracy and speed. This is achieved by simultaneously incorporating visibility and distance simplifications. The system can automatically respond to changes in the environment and distance, and adjust its decisions accordingly, thus possessing basic adaptive capabilities and overcoming the fundamental defects of the static lookup table method. Attached Figure Description
[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. The elements or parts in the drawings are not necessarily drawn to scale. Obviously, the drawings described below are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.
[0028] Figure 1 This is a flowchart of Embodiment 1 of the present invention; Figure 2 This is a structural schematic diagram of Embodiment 2 of the present invention. Detailed Implementation
[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0030] In this document, suffixes such as "module," "part," or "unit" used to denote elements are used only for the purpose of illustrative purposes and have no specific meaning in themselves. Therefore, "module," "part," or "unit" may be used interchangeably.
[0031] In this document, the terms "upper," "lower," "inner," "outer," "front," "rear," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the present invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0032] In this document, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.
[0033] In this document, "and / or" includes any and all combinations of one or more of the listed related items.
[0034] In this article, "multiple" means two or more, that is, it includes two, three, four, five, etc.
[0035] Example 1: like Figure 1 As shown, this embodiment provides a method for real-time prediction of laser strike effects for rapid deployment, specifically including the following steps: Step S1: Define standard reference environmental parameters, calibrate the standard attenuation coefficient of the target laser, and the standard power to the target.
[0036] The purpose of this step is to establish a unified benchmark environment scale, transforming complex and ever-changing real-time environmental parameters into a proportional relationship with the benchmark, thereby avoiding complex physical model iterations in real-time computing and enabling rapid decision-making with low resource consumption.
[0037] Specifically, in this embodiment, the standard reference environmental parameter can be defined as a standard environment E0 with good atmospheric conditions, such as visibility. = 20km, temperature =15°C, humidity =30%, etc.
[0038] visibility = 20km is the typical atmospheric visibility under clear, haze-free, and light-wind conditions.
[0039] temperature =15°C is the median value of the annual average temperature in temperate regions. It is a commonly used benchmark temperature in meteorology and can reduce the influence of temperature on atmospheric molecular density.
[0040] humidity =30% is a typical humidity condition with low laser transmission attenuation, avoiding additional absorption / scattering of the laser by water vapor under high humidity.
[0041] Using E0 as an environmental benchmark, complex meteorological variables in real-time environment can be transformed into the proportion of difference from E0, eliminating the need for real-time simulation of all meteorological parameters and greatly simplifying calculations.
[0042] The standard attenuation factor μ0 is the value at a wavelength of E0 under standard reference conditions. The energy attenuation of the target laser transmission over a unit distance L0 = 1 km is calibrated offline to a fixed value. The standard to target power P... s It is the actual power of the target laser reaching the surface of the target material after being transmitted from the transmitter at a standard distance L0 under the standard reference environment E0. Its calibration process is also pre-made offline.
[0043] Its calibration process is based on a simplified atmospheric transport physics model, and the attenuation coefficient is calculated using the formula:
[0044] Calculate; where, The attenuation coefficient is... Where λ is the laser wavelength, V is the visibility, and q is a correction factor related to visibility. The specific value of q is:
[0045] Based on Beer-Lambert's law of energy decay: Then there is , Among them, P 到靶 P0 is the target power, P0 is the initial transmit power, and L is the transmission distance.
[0046] In this embodiment, the wavelength is The standard attenuation coefficient of the target laser under standard reference environment E0 is obtained using the formula:
[0047] Calculate; where, The standard attenuation coefficient of the target laser. V0 represents the target laser wavelength, V0 represents the standard reference ambient visibility, and q represents the target laser wavelength. 0 Here, q is a correction factor. 0 The value is 1.3.
[0048] μ0 is the benchmark value for measuring the degree of laser attenuation under standard conditions. The attenuation degree in subsequent real-time environments is calculated with reference to it.
[0049] Calibration standard to target power To use the formula:
[0050] Calculate; where P s Where P0 is the standard power of the target laser to the target, and L0 is the initial emitted power of the target laser per unit distance. The standard attenuation coefficient of the target laser.
[0051] P s The target laser's reference power to the target under standard conditions is used. The power to the target under subsequent real-time conditions does not need to be recalculated using a complex transmission model. It only needs to be converted proportionally to Ps using the power attenuation ratio.
[0052] Step S2: Construct a benchmark database for several targets based on the standard reference environment, standard attenuation coefficient, and standard power to target. The records in the benchmark database include the minimum effective power density of the target, the power density that breaks down the target under the standard reference environment parameters, and the breakdown time.
[0053] The benchmark database is an offline data collection categorized by target material type. Each record corresponds to a specific target material, such as common battlefield target materials like ordinary steel plates, aluminum alloys, and carbon fiber composites. Its function is to correlate the physical properties of the target material with laser parameters under standard conditions, forming a standard mapping relationship between the target material and the laser effect, thus avoiding repeated testing or complex calculations of the target material properties during the real-time phase.
[0054] In this embodiment, each target record in the database contains three parameters: the minimum effective power density, the power density at which the target breaks down under standard reference environmental parameters, and the breakdown time.
[0055] The baseline minimum effective power density W0 of the target material is an inherent characteristic parameter of the target material itself. It refers to the minimum laser power density threshold that can cause irreversible damage to the target material, such as breakdown or melting, under laboratory conditions, and it is independent of the environment.
[0056] In this embodiment, the baseline minimum effective power density is determined through offline experiments. In a controlled laboratory environment, the target sample is irradiated with lasers of different power densities, and the minimum power density at which the target is just broken down is recorded as the W0 of that target. For example, the baseline minimum effective power density of steel plate A is 500 W / cm². 2 The baseline minimum effective power density for aluminum alloy B is 300 W / cm³. 2The baseline minimum effective power density of composite material C is 200 W / cm³. 2 .
[0057] Power density W of the target under standard reference conditions s This is the actual power density acting on the target surface after laser transmission L0=1km under standard environmental conditions E0.
[0058] In this embodiment, the power density of a target material being broken down under standard reference environmental parameters is calculated using the following formula:
[0059] Calculation; where Ws is the power density of the target material broken down under standard reference environmental parameters, P s r is the standard target power of the target laser. s The standard spot radius; Using the formula:
[0060] Calculate the standard spot radius; where r s The standard spot radius, Where λ is the laser wavelength, D is the laser transmission aperture, and M2 is the beam quality. To improve the system's aiming accuracy.
[0061] Breakdown time t under standard reference conditions s Under standard environment E0, with W s The power density is continuously irradiated onto the target material, from the start of irradiation until the target material is broken down.
[0062] Breakdown time t s This was also measured offline. In a standard environmental simulation setup, a power density of W was used. s A laser continuously irradiates a target sample, and the time from irradiation to breakdown is recorded as the t-value of the target. s .
[0063] Finally, the target type, W0, and W are... s t s The data is stored in association, forming a single database record.
[0064] Step S3: Collect target environmental parameters and calculate the power attenuation ratio between the target environmental parameters and the standard reference environmental parameters.
[0065] In this embodiment, the collected target environmental parameters mainly include real-time visibility and target distance. Real-time visibility V currentThe atmospheric attenuation of laser is the most critical environmental factor affecting the laser's performance. The lower the visibility, the greater the degree to which the laser is scattered / absorbed by atmospheric particles. The target distance L is the path length of the laser transmission, which directly determines the total attenuation. The longer the transmission distance, the greater the energy loss. It is necessary to accurately obtain the actual distance from the laser emitter to the target.
[0066] The power attenuation ratio η is the ratio of the total attenuation of the laser in the real-time environment to the total attenuation in the standard environment. η quantifies the attenuation amplification factor of the real-time environment and target distance relative to the standard environment and unit distance. η>1 indicates that the real-time attenuation is more severe, and η<1 indicates that the real-time attenuation is less severe.
[0067] Specifically, in this embodiment, the power attenuation ratio between the target environmental parameters and the standard reference environmental parameters is calculated using the following formula:
[0068] Calculate; where η is the power attenuation ratio, L0 is the standard attenuation coefficient of the target laser, L0 is the distance per unit distance, and L is the distance to the target. current The attenuation coefficient under the target environmental parameters is determined by the real-time visibility V. current The calculation of parameters is also performed by referring to the simplified atmospheric transport physical model, and will not be elaborated here.
[0069] Step S4: Calculate the target-to-target power under the target environmental parameters based on the power attenuation ratio, and calculate the target-to-target power density based on the target-to-target power.
[0070] The purpose of this step is to quickly convert the offline pre-prepared standard parameters into actual operational parameters and target-to-target power P in a real-time environment based on the power attenuation ratio η obtained in step S3. n and target-to-target power density W n The entire process is completed solely through algebraic operations, without complex physical model iterations, ensuring microsecond-level computation speeds and providing a core basis for subsequent feasibility assessments. The power attenuation ratio η quantifies the total attenuation factor of the real-time environment and target distance relative to the standard environment and unit distance. Therefore, there is no need to re-simulate the full physical process of laser transmission; only the pre-set parameters in the standard environment need to be scaled and adjusted using η to obtain the actual parameters of the real-time scene.
[0071] Target-to-target power P n In a real-time target environment, the laser power P refers to the actual remaining power P of the laser beam after traveling a distance L from the emitter to the target surface. n Using the formula:
[0072] Calculate; where Pn For the target-to-target power, P s P0 is the standard power to the target laser, P0 is the initial emission power of the target laser, and η is the power attenuation ratio.
[0073] Target-to-target power density W n In real-time conditions, the laser power density refers to the laser power per unit area of the target surface after the laser reaches it. It is a core indicator for determining whether the laser can penetrate the target and directly reflects the actual intensity of the laser's effect on the target. The target-to-target power density is calculated using the formula:
[0074] Calculate; where W n For the target power density, P n For the target-to-target power, r n r is the radius from the target to the target. n It is the target-to-target spot radius, which is the size of the laser spot on the target surface in real time. Its calculation is based on the physical law that the laser spot radius is proportional to the transmission distance. It is an inherent characteristic of the laser and is independent of the environment.
[0075] The above formula is key to achieving a leap in computational efficiency. During online calculations, only the target distance L and visibility V, obtained in real time, need to be substituted. current Its overall effect has been transformed from Factor encapsulation, with all other parameters being pre-defined constants, transforms complex physical modeling problems into highly efficient algebraic computations, achieving a paradigm shift from iterative solutions to formula substitution.
[0076] This process involves only basic algebraic operations such as exponentiation, multiplication, and division, without complex physical model iterations or numerical solutions. The calculation time for each step can be controlled in the microsecond range, meeting the real-time requirements of embedded platforms. Step S5: Find the baseline minimum effective power density of the target target material based on the baseline database; if the target-to-target power is greater than or equal to the baseline minimum effective power density, calculate the estimated breakdown time of the target target material based on the target-to-target power, the power density of the target target material breaking down the target material under standard reference environmental parameters, and the breakdown time.
[0077] The purpose of this step is to determine the feasibility of penetrating the target material based on the pre-prepared data and real-time calculation results from the previous steps, and to estimate how long it would take if penetration were possible.
[0078] In a real-time scenario, first, clarify the target material type of the strike target, such as standard steel plates, aluminum alloys, etc. Then, using the target material type as a retrieval keyword, directly retrieve the reference minimum effective power density W0 corresponding to the target material from the reference database constructed in step S2. W0 is an inherent physical parameter of the target material and is independent of the environment and distance. It is the threshold for determining whether the laser can penetrate the target material. Only when the real-time on-target power density W n reaches or exceeds this threshold, is it possible for the laser to penetrate the target material within a certain period of time, that is: If W n ≥W0, it indicates that the action intensity of the real-time laser reaches the minimum requirement for target penetration, and it is determined that the strike is feasible, and proceed to the subsequent estimation of the penetration time; If W n <W0, it indicates that the action intensity of the real-time laser is insufficient, and even continuous irradiation cannot penetrate the target material. It is determined that the strike is infeasible, directly output the decision result, and terminate the subsequent calculation.
[0079] For example, the target material retrieved from the reference database is a standard steel plate, W0 = 300W / cm 2 、W s = 748.42W / cm2、t s = 5s.
[0080] Calculate W n = 470.7W / cm 2 through step S4 under the target atmospheric parameters. Since it is greater than W0, it indicates that the strike is feasible, and at this time, it is necessary to estimate the penetration time.
[0081] The total energy required for the target material to be penetrated is basically fixed and determined by the target material characteristics. The energy accumulation rate of the laser is proportional to the power density, that is, using the formula:
[0082] Calculate the estimated penetration time; where t n is the estimated penetration time, W s is the power density for penetrating the target material under standard reference environmental parameters, W n is the target power density, and t s is the penetration time for penetrating the target material under standard reference environmental parameters.
[0083] The above process does not require simulating the complex physical process of the interaction between the laser and the target material. Only one division operation is required, and the time consumption is in the microsecond level, which perfectly adapts to the embedded platform.
[0084] Example 2: As Figure 2 shown, this embodiment provides a real-time estimation system for laser strike effects for rapid deployment, including: The system prefabricated module is used to define standard reference environmental parameters, calibrate standard attenuation coefficients, and standard-to-target power. The benchmark database construction module is used to construct a benchmark database for several targets based on a standard reference environment, a standard attenuation coefficient, and a standard power to the target. The records in the benchmark database include the minimum effective power density of the target, the power density that breaks down the target under standard reference environment parameters, and the breakdown time. The environmental sensing module is used to collect target environmental parameters and calculate the power attenuation ratio between the target environmental parameters and the standard reference environmental parameters. The data processing module is used to calculate the target-to-target power under the target environmental parameters based on the power attenuation ratio, and to calculate the target-to-target power density based on the target-to-target power. The decision prediction module is used to find the baseline minimum effective power density of the target material based on the benchmark database; when the target-to-target power is greater than or equal to the baseline minimum effective power density, the estimated breakdown time of the target material is calculated based on the target-to-target power, the power density of the target material breaking down the target material under standard reference environmental parameters, and the breakdown time.
[0085] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0086] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a computer terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.
[0087] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.
Claims
1. A method for real-time prediction of the effects of laser strikes for rapid deployment, characterized in that, include: Define standard reference environmental parameters, calibrate the standard attenuation coefficient of the target laser, and the standard power to the target; A benchmark database is constructed for several targets based on a standard reference environment, a standard attenuation coefficient, and a standard power to the target. The records in the benchmark database include the minimum effective power density of the target, the power density that breaks down the target under standard reference environment parameters, and the breakdown time. Collect target environmental parameters and calculate the power attenuation ratio between the target environmental parameters and the standard reference environmental parameters; The target-to-target power under the target environmental parameters is calculated based on the power attenuation ratio, and the target-to-target power density is calculated based on the target-to-target power. The baseline minimum effective power density of the target target is found based on the baseline database. When the target-to-target power is greater than or equal to the baseline minimum effective power density, the estimated breakdown time of the target target is calculated based on the target-to-target power, the power density of the target target breaking down the target under standard reference environmental parameters, and the breakdown time.
2. The method for real-time prediction of laser strike effects for rapid deployment according to claim 1, characterized in that, The standard attenuation coefficient is calculated using the following formula: Calculate; where, The standard attenuation coefficient of the target laser. V0 represents the target laser wavelength, V0 represents the standard reference ambient visibility, and q represents the target laser wavelength. 0 This is a correction factor.
3. The method for real-time prediction of laser strike effects for rapid deployment according to claim 1, characterized in that, The standard-to-target power utilization formula is as follows: Calculate; where P s Where P0 is the standard power of the target laser to the target, and L0 is the initial emitted power of the target laser per unit distance. The standard attenuation coefficient of the target laser.
4. The method for real-time prediction of laser strike effects for rapid deployment according to claim 1, characterized in that, The power density of a target material breaking down under standard reference environmental parameters is calculated using the following formula: Calculation; where Ws is the power density of the target material broken down under standard reference environmental parameters, P s r is the standard target power of the target laser. s The standard spot radius; Using the formula: Calculate the standard spot radius; where r s The standard spot radius, Where λ is the laser wavelength, D is the laser transmission aperture, M2 is the beam quality, and μ is the laser wavelength. ATP To improve the system's aiming accuracy.
5. The method for real-time prediction of laser strike effects for rapid deployment according to claim 1, characterized in that, The power attenuation ratio between the target environmental parameters and the standard reference environmental parameters is calculated using the following formula: Calculate; where η is the power attenuation ratio, L0 is the standard attenuation coefficient of the target laser, L0 is the distance per unit distance, and L is the distance to the target. current The attenuation coefficient is the value under the target environmental parameters.
6. The method for real-time prediction of laser strike effects for rapid deployment according to claim 1, characterized in that, Target-to-target power utilization formula: Calculate; where P n For the target-to-target power, P s P0 is the standard power to the target laser, P0 is the initial emission power of the target laser, and η is the power attenuation ratio.
7. The method for real-time prediction of laser strike effects for rapid deployment according to claim 1, characterized in that, Target-to-target power density is calculated using the following formula: Calculate; where W n For the target power density, P n For the target-to-target power, r n The radius from the target to the target.
8. The method for real-time prediction of laser strike effects for rapid deployment according to claim 1, characterized in that, Methods for estimating the expected penetration time of a target material include using formulas: Calculate the estimated breakdown time; where t n To estimate the breakdown time, W s W represents the power density at which the target material breaks down under standard reference environmental parameters. n For the target power density, t s This refers to the breakdown time of the target material under standard reference environmental parameters.
9. The method for real-time prediction of laser strike effects for rapid deployment according to claim 1, characterized in that, If the target-to-target power is less than the baseline minimum effective power density, it is determined to be non-penetrable.
10. A real-time prediction system for the effects of laser strikes for rapid deployment, characterized in that, include: The system prefabricated module is used to define standard reference environmental parameters, calibrate standard attenuation coefficients, and standard-to-target power. The benchmark database construction module is used to construct a benchmark database for several targets based on a standard reference environment, a standard attenuation coefficient, and a standard power to the target. The records in the benchmark database include the minimum effective power density of the target, the power density that breaks down the target under standard reference environment parameters, and the breakdown time. The environmental sensing module is used to collect target environmental parameters and calculate the power attenuation ratio between the target environmental parameters and the standard reference environmental parameters. The data processing module is used to calculate the target-to-target power under the target environmental parameters based on the power attenuation ratio, and to calculate the target-to-target power density based on the target-to-target power. The decision prediction module is used to find the baseline minimum effective power density of the target material based on the benchmark database; when the target-to-target power is greater than or equal to the baseline minimum effective power density, the estimated breakdown time of the target material is calculated based on the target-to-target power, the power density of the target material breaking down the target material under standard reference environmental parameters, and the breakdown time.