A method and system for collecting and analyzing UAV damage effectiveness data

Abstract

The present invention relates to the field of high-energy laser counter-UAVs. The present invention provides a method and system for collecting and analyzing UAV damage effectiveness data. The method comprises: obtaining UAV damage effectiveness data using a video data acquisition device and a temperature data acquisition device; wherein the video data acquisition device and the temperature data acquisition device are carried into the air by a UAV; and calculating the acquired UAV damage effectiveness data. The UAV damage effectiveness data calculation process includes image-based energy effectiveness calculation and temperature measurement-based effectiveness calculation; confidence weights are preset for the image-based energy effectiveness calculation and the temperature measurement-based effectiveness calculation; and a total estimated value of the UAV damage effectiveness data is calculated using the preset confidence weights. The present invention has the characteristics of low cost, good practicality, excellent timeliness, robustness, and strong scalability.

Description

Technical Field

[0001] The present invention relates to the field of high-energy laser anti-UAV (unmanned aerial vehicle) countermeasures, and in particular to a method and system for collecting and analyzing UAV damage effectiveness data. Background Art

[0002] Anti-UAV laser weapons are directed energy weapons that use strong laser beams to attack UAVs. They have excellent properties such as speed, flexibility, precision and resistance to electromagnetic interference, and can play a unique role in anti-UAV defense.

[0003] Existing anti-drone laser weapons typically focus their laser beams on the drone, using the heat to penetrate the drone's exterior, directly striking its core components or causing them to overheat through heat conduction, leading to a crash. Therefore, setting the convergence parameters is crucial for shooting down drones. Because factors such as temperature, humidity, turbulence, and visibility can cause these parameters to vary, finding the optimal parameters during experiments is a key challenge for anti-drone systems. Improper parameters can prevent the laser from converging at the desired location, leading to wasted energy and reduced system performance.

[0004] During the development process, two major problems stood out: on the one hand, the anti-UAV system was greatly affected by the environment, so comprehensive experiments were needed in different scenarios to obtain real data on the surface and interior of the UAV as a basis for parameter adjustment; on the other hand, the existing acceptance tests for UAV damage basically adopted a real-machine shooting-down model, which introduced a large number of accidental factors and may result in an inability to truly reflect the system's actual strike capability, nor to quantify this strike capability.

[0005] There are two existing methods for collecting and analyzing UAV damage effectiveness data:

[0006] 1. Directly attack the drone and judge the effectiveness of the attack by observing the damage to the fuselage after shooting it down.

[0007] 2. Set up an energy receiving device or target at a distance, completely replace the drone with the energy receiving device or target, and judge the strike result by the energy reading and the size and number of target damage spots.

[0008] Both methods have prominent drawbacks:

[0009] Although the former can more realistically reflect the effects of a drone being hit, drones themselves are expensive. Generally, drones are not equipped with professional energy sensors or third-person video acquisition devices. After an expensive strike experiment, only qualitative strike conclusions and first-person strike images taken by the onboard camera can be obtained, and the light spot and burning conditions cannot be directly and stably observed. On the other hand, secondary damage caused by the impact on the ground after falling and the complex ground conditions of the test site often cause the fuselage to be contaminated, making it difficult to correctly judge the strike results.

[0010] The latter fixed target is inconvenient to move, and it is difficult to collect data at different heights and directions. In addition, the existing energy collection device is not customized according to the actual situation and is far from the actual situation of the drone body. The collected surface energy and the complex physical conditions of breakdown, conduction, aggregation, combustion, transmission, etc. after the drone is hit are difficult to simulate. The way of penetrating the target plate is very different from the actual situation. After the previous layer of target plate is penetrated, it often collapses and blocks the next target plate, resulting in no further penetration. Or due to wind, the entire target plate frame is often ignited, which affects the performance judgment and also poses a safety hazard.

[0011] In view of this, overcoming the defects of the above-mentioned prior art is an urgent problem to be solved in this technical field. Summary of the Invention

[0012] The present invention provides a solution to the technical problems of existing methods for collecting and analyzing damage effectiveness data of unmanned aerial vehicles, such as high cost, poor applicability and inaccurate results.

[0013] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0014] In a first aspect, the present invention provides a method for collecting and analyzing UAV damage effectiveness data, comprising:

[0015] Acquiring the drone damage effectiveness data through a video data acquisition device and a temperature data acquisition device; wherein the video data acquisition device and the temperature data acquisition device are carried into the air by the drone;

[0016] Calculating the acquired UAV damage effectiveness data; wherein the UAV damage effectiveness data calculation process includes image-based energy effectiveness calculation and temperature measurement-based effectiveness calculation;

[0017] Presetting confidence weights for image-based energy performance calculation and temperature measurement-based performance calculation;

[0018] The total estimated value of the UAV damage effectiveness data is calculated using the preset confidence weights.

[0019] Preferably, the image-based energy efficiency calculation includes:

[0020] Acquire light spot data collected by a video data acquisition device;

[0021] The collected spot data are quantitatively analyzed through the established first mathematical model;

[0022] Based on the results of quantitative analysis, the image-based energy efficiency is calculated.

[0023] Preferably, after calculating the image-based energy efficiency, the method further includes:

[0024] Filter the calculated image-based energy performance.

[0025] Preferably, the efficiency calculation based on temperature measurement includes:

[0026] Acquire temperature data collected by a temperature data collection device;

[0027] The collected temperature data are quantitatively analyzed through the established second mathematical model;

[0028] From the results of the quantitative analysis, the performance based on temperature measurement is calculated.

[0029] Preferably, after calculating the efficiency based on the temperature measurement, the method further comprises:

[0030] Filter the calculated effectiveness based on the temperature measurement.

[0031] In a second aspect, the present invention provides a UAV damage effectiveness data collection and analysis system, which uses the UAV damage effectiveness data collection and analysis method described in the first aspect, including:

[0032] Unmanned aerial vehicle; a frame structure mounted on the unmanned aerial vehicle; a modular target plate, a video data acquisition device, and a temperature data acquisition device mounted on the frame structure; and an analysis computer;

[0033] The video data acquisition device and the temperature data acquisition device are respectively connected to the analysis computer for communication.

[0034] Preferably, the modular target plate includes an optical target plate, a drone body target plate and a drone electronic component target plate.

[0035] Preferably, the video data acquisition device includes a network infrared sensor.

[0036] Preferably, the temperature data acquisition device includes a temperature conductor and a temperature sensor.

[0037] Preferably, the temperature conductor includes a heat receiving structure, a heat isolation structure and a connection structure; wherein the heat receiving structure is used to receive the laser energy after penetrating the modular target plate, and the connection structure is used to connect to the temperature sensor.

[0038] In view of the deficiencies in the prior art, the present invention can achieve the following beneficial effects:

[0039] The present invention simulates the damage of a real UAV after being hit by laser energy, and transmits, receives, calculates, analyzes, displays and saves the collected image data and temperature data in real time, with the characteristics of low cost, good practicality, excellent timeliness, robustness and strong scalability. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0041] Figure 1 It is a flowchart of a method for collecting and analyzing the damage effectiveness data of UAVs;

[0042] Figure 2 This is a flowchart of another method for collecting and analyzing UAV damage effectiveness data;

[0043] Figure 3 This is another flowchart of a method for collecting and analyzing UAV damage effectiveness data;

[0044] Figure 4 This is a schematic diagram of a UAV damage effectiveness data collection and analysis system;

[0045] Figure 5 This is a schematic diagram of the temperature conductor structure in the UAV damage effectiveness data collection and analysis system;

[0046] Figure 6 It is a schematic diagram of the operation flow of the UAV damage effectiveness data collection and analysis system. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0048] In the description of the present invention, the terms "inside", "outside", "longitudinal", "lateral", "upper", "lower", "top", "bottom", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and do not require that the present invention must be constructed and operated in a specific orientation. Therefore, they should not be understood as limitations on the present invention.

[0049] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0050] Example 1:

[0051] In order to solve the technical problems of high cost, poor applicability and inaccurate results in traditional UAV damage effectiveness data collection and analysis methods, this embodiment 1 provides a UAV damage effectiveness data collection and analysis method, such as Figure 1 As shown, including:

[0052] S100, obtaining drone damage effectiveness data through a video data acquisition device and a temperature data acquisition device; wherein the video data acquisition device and the temperature data acquisition device are carried into the air by a drone.

[0053] Compared with the traditional method of completely replacing drones with energy receiving devices or targets, the scenario of carrying video data acquisition devices and temperature data acquisition devices on drones into the air is more in line with the actual situation of drones and lays the foundation for the collection and analysis of drone damage effectiveness data.

[0054] The video data acquisition device includes components such as a camera and an infrared sensor; the temperature data acquisition device includes components such as a temperature conductor and a temperature sensor.

[0055] S200, calculating the acquired UAV damage efficiency data; wherein the UAV damage efficiency data calculation process includes image-based energy efficiency calculation and temperature measurement-based efficiency calculation.

[0056] In this step, the image-based energy efficiency calculation is as follows: Figure 2 As shown, including:

[0057] S211, acquiring light spot data collected by a video data collection device.

[0058] The light spot data is obtained based on the light spot size of the image recognition infrared sensor.

[0059] S212: Quantitatively analyze the collected light spot data using the established first mathematical model.

[0060] The first mathematical model is used to calculate the image-based energy efficiency by quantitatively analyzing the obtained spot size and the corresponding energy measurement value.

[0061] In specific implementation, the light spot is usually not a fixed circle, but an energy value composed of a matrix within a range. For any point in the matrix, its energy value is proportional to the brightness value.

[0062] Assume that the brightness after laser irradiation is v i , the brightness before laser irradiation is vd i ,

[0063] The energy formula is:

[0064] v(i)=m×(v i -vd i )

[0065] Where m is the parameter coefficient.

[0066] Then the energy value V is:

[0067]

[0068] S213, calculating the image-based energy efficiency based on the results of the quantitative analysis.

[0069] Since laser irradiation is a time-based process, the instantaneous energy formula can be written as V t , within a certain time T, the laser efficiency V T for:

[0070]

[0071] Since outliers may appear in the test, in order to reduce random errors and improve the accuracy and robustness of the experimental results, after calculating the image-based energy efficiency, the method also includes:

[0072] S214: Filter the calculated image-based energy efficiency.

[0073] Therefore, the formula changes to:

[0074]

[0075] The parameter coefficient m and the filter function in the above formula can be confirmed through equivalent experiments.

[0076] In this step, the efficiency calculation based on temperature measurement is as follows: Figure 3 Shown, including:

[0077] S221, acquiring temperature data collected by a temperature data collection device.

[0078] The temperature data is obtained through a temperature sensor.

[0079] S222: Quantitatively analyze the collected temperature data using the established second mathematical model.

[0080] The second mathematical model is used to calculate the efficiency based on temperature measurement by quantitatively analyzing the energy measurement values ​​corresponding to the obtained temperature data.

[0081] Assume that the instantaneous temperature is t and the temperature before irradiation is td.

[0082] The energy formula is:

[0083] Q = n × (t - td)

[0084] Where n is the parameter coefficient.

[0085] S223, calculating the efficiency based on the temperature measurement based on the results of the quantitative analysis.

[0086] Since heating is a time-based process, the instantaneous energy formula can be written as Q t , within a certain time T, the laser efficiency Q T for:

[0087]

[0088] Since outliers may occur during testing, in order to reduce random errors and improve the accuracy and robustness of the experimental results, the calculation of the performance based on temperature measurement also includes:

[0089] S224 , filtering the calculated efficiency based on the temperature measurement.

[0090] Therefore, the formula changes to:

[0091]

[0092] The parameter coefficient n and the filter function in the above formula can be confirmed through equivalent experiments.

[0093] S300 , presetting confidence weights for energy efficiency calculation based on images and efficiency calculation based on temperature measurement.

[0094] S400: Calculate the total estimated value of the UAV damage effectiveness data using a preset confidence weight.

[0095] Let the image performance confidence weight be w v , the temperature performance confidence weight is w q ,

[0096] Then the total estimated value of the UAV damage effectiveness data within a period of time T is:

[0097] W=w v ×V′ T +w q ×Q′ T

[0098] The weight w in the formula v 、w q , which can be confirmed by equivalent experiments.

[0099] Example 2:

[0100] Based on the drone damage effectiveness data collection and analysis method described in Example 1, this Example 2 provides a drone damage effectiveness data collection and analysis system, which uses the drone damage effectiveness data collection and analysis method described in Example 1 and includes:

[0101] Unmanned aerial vehicle; a frame structure mounted on the unmanned aerial vehicle; a modular target plate, a video data acquisition device, and a temperature data acquisition device mounted on the frame structure; and an analysis computer;

[0102] The video data acquisition device and the temperature data acquisition device are respectively connected to the analysis computer for communication.

[0103] like Figure 4 The figure shows a system diagram of a method for collecting and analyzing the damage efficiency data of UAVs. Laser energy hits the launched UAV and causes damage. The damage data is collected in real time and transmitted to the analysis computer. Since the damage does not cause any damage to the UAV itself, it has the advantages of good practicality and low cost.

[0104] During actual application, the drone carries the frame structure, modular target plate, video data acquisition device and temperature data acquisition device into the air, and tows them into the air and hovers at a specific distance and height.

[0105] The main function of the frame structure is to provide structural support. At the same time, the frame structure also provides a certain degree of protection to prevent internal equipment from being damaged by high temperature.

[0106] In order to simulate the damage of different positions of the drone under laser strikes, preferably, the modular target plate includes an optical target plate, a drone body target plate and a drone electronic component target plate. The configuration of the above target plates can be configured as needed. It can be one of the target plates or a combination of the above target plates. In order to facilitate the switching of multiple target plates, the modular target plate can also be installed with a target plate switching mechanism.

[0107] The video data acquisition device includes a network infrared sensor, which is installed on the target frame and faces the target plate. It is used to collect thermal imaging spot data generated after the target plate is hit by the laser, and send the thermal imaging spot data to the analysis computer through a wireless network.

[0108] The temperature data acquisition device includes a temperature conductor and a temperature sensor, preferably, Figure 5 As shown, the temperature conductor includes a heat receiving structure, a heat isolation structure and a connecting structure; wherein, the heat receiving structure is used to receive the laser energy after penetrating the modular target plate and can reflect most of the energy, the connecting structure is used to connect with the temperature sensor, and the heat isolation structure is mainly used to block and conduct the remaining energy, thereby preventing the remaining energy from affecting the temperature sensor at the rear end.

[0109] The functions of the analysis computer mainly involve two aspects: receiving image data, identifying the size and brightness of the light spot in the image data, and displaying, calculating, analyzing and saving the image energy efficiency; receiving temperature data, and displaying, calculating, analyzing and saving the temperature measurement efficiency.

[0110] like Figure 6 The figure shows a schematic diagram of the operation flow of the UAV damage effectiveness data collection and analysis system.

[0111] In summary, the present invention provides a method and system for collecting and analyzing UAV damage efficiency data. By simulating the damage of a real UAV after being hit by laser energy, the collected image data and temperature data are transmitted, received, calculated, analyzed and stored in real time. It has the characteristics of low cost, good practicality, excellent timeliness, robustness and strong scalability.

[0112] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for collecting and analyzing UAV damage effectiveness data, characterized in that: include: Acquiring the drone damage effectiveness data through a video data acquisition device and a temperature data acquisition device; wherein the video data acquisition device and the temperature data acquisition device are carried into the air by the drone; Calculating the acquired UAV damage effectiveness data; wherein the UAV damage effectiveness data calculation process includes image-based energy effectiveness calculation and temperature measurement-based effectiveness calculation; Presetting confidence weights for image-based energy performance calculation and temperature measurement-based performance calculation; The total estimated value of the UAV damage effectiveness data is calculated using the preset confidence weights; The image-based energy efficiency calculation includes: Acquire light spot data collected by a video data acquisition device; The first mathematical model is used to quantitatively analyze the spot size and corresponding energy measurement value of the collected spot data; Through the results of quantitative analysis, the image-based energy efficiency is calculated; The efficiency calculation based on temperature measurement includes: Acquire temperature data collected by a temperature data collection device; The energy measurement values ​​corresponding to the collected temperature data are quantitatively analyzed by the established second mathematical model; From the results of the quantitative analysis, the performance based on temperature measurement is calculated.

2. The method for collecting and analyzing UAV damage effectiveness data according to claim 1, characterized in that: After calculating the image-based energy efficiency, the method further includes: Filter the calculated image-based energy performance.

3. The method for collecting and analyzing UAV damage effectiveness data according to claim 1, characterized in that: After calculating the effectiveness based on the temperature measurement, the method further includes: Filter the calculated effectiveness based on the temperature measurement.

4. A UAV damage effectiveness data collection and analysis system, characterized by: The method for collecting and analyzing the damage effectiveness data of a drone according to any one of claims 1 to 3 comprises: Unmanned aerial vehicle; a frame structure mounted on the unmanned aerial vehicle; a modular target plate, a video data acquisition device, and a temperature data acquisition device mounted on the frame structure; and an analysis computer; The video data acquisition device and the temperature data acquisition device are respectively connected to the analysis computer for communication.

5. The UAV damage effectiveness data collection and analysis system according to claim 4 is characterized in that: The modular target plate includes an optical component target plate, a UAV body target plate and a UAV electronic component target plate.

6. The UAV damage effectiveness data collection and analysis system according to claim 4, characterized in that: The video data acquisition device includes a network infrared sensor.

7. The UAV damage effectiveness data collection and analysis system according to claim 4, characterized in that: The temperature data acquisition device includes a temperature conductor and a temperature sensor.

8. The UAV damage effectiveness data collection and analysis system according to claim 7, characterized in that: The temperature conductor includes a heat receiving structure, a heat isolation structure and a connection structure; wherein the heat receiving structure is used to receive the laser energy after penetrating the modular target plate, and the connection structure is used to connect with the temperature sensor.

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