Unmanned aerial vehicle environmental adaptability evaluation method, device, equipment and readable medium

Abstract

This application relates to a method for assessing the environmental adaptability of unmanned aerial vehicles (UAVs), comprising: acquiring hovering time, maximum output power, maximum pull, and attitude angle data at multiple times during UAV flight tests; calculating corresponding temperature adaptability, wind resistance stability, and altitude performance retention rate indices based on the above parameters; and finally determining the comprehensive environmental adaptability assessment result of the UAV based on the above three indices through weighted calculation or interval determination. This application obtains three core quantitative indicators—wind resistance stability index, temperature adaptability coefficient, and altitude performance retention rate—by collecting test flight data, achieving a multi-dimensional and accurate quantitative assessment of UAV environmental adaptability, and solving the problems of strong subjectivity and lack of unified standards in related UAV environmental adaptability assessment methods.

Description

Technical Field

[0001] This application relates to the field of unmanned aerial vehicle (UAV) testing, specifically to a method, apparatus, equipment, and readable medium for assessing the environmental adaptability of UAVs. Background Technology

[0002] With the rapid development of drone technology, its application in specialized fields such as emergency rescue, power line inspection, and logistics transportation is becoming increasingly widespread. However, these scenarios are often accompanied by complex weather and geographical environments, posing a severe challenge to the environmental adaptability of drones. Currently, existing technologies for assessing the environmental adaptability of drones mainly rely on isolated verification of single factors, lacking comprehensive consideration. Furthermore, test results largely depend on the subjective judgment of operators, lacking a unified quantitative assessment standard. Consequently, existing assessment methods cannot accurately evaluate the true performance of drones and cannot be precisely quantified.

[0003] Therefore, there is an urgent need for a new method for assessing the environmental adaptability of unmanned aerial vehicles (UAVs) to solve the above problems and achieve an objective and accurate comprehensive assessment of the environmental adaptability of UAVs. Summary of the Invention

[0004] This application provides a method, apparatus, device, and readable medium for assessing the environmental adaptability of unmanned aerial vehicles (UAVs), which can solve the technical problem in the prior art that it cannot accurately reflect the true performance of UAVs.

[0005] In a first aspect, embodiments of this application provide a method for assessing the environmental adaptability of an unmanned aerial vehicle (UAV), including: Based on UAV flight tests, the hovering time of the UAV during the test was obtained. Maximum output power Maximum pull force at the preset flight altitude and hovering time and time Corresponding roll angle Pitch angle and yaw angle , The value of can be from 1 to n, where n is a positive integer greater than or equal to 1; According to all times corresponding , and Achieve wind resistance stability ; according to as well as Temperature adaptability ; according to as well as Obtain altitude performance retention rate ; Based on the above , as well as Determine the environmental adaptability assessment results of the drone.

[0006] In conjunction with the first aspect, in one implementation, the statement based on all times... corresponding , and Achieve wind resistance stability include: All moments corresponding , and Substituting into the first formula, we obtain the wind resistance stability. The first formula is:

[0007] in, for Deviation from standard roll angle for Deviation from the standard pitch angle, for Deviation from the standard yaw angle.

[0008] In conjunction with the first aspect, in one implementation, the statement based on as well as Temperature adaptability include: Will as well as Substituting into the second formula, we obtain the temperature adaptability. The second formula is:

[0009] in, Standard hovering time. This is the standard maximum output power.

[0010] In conjunction with the first aspect, in one implementation, the statement based on as well as Obtain altitude performance retention rate include: Will as well as Substituting into the third formula, we obtain the altitude performance retention rate. The third formula is:

[0011] in, This is the maximum pull force when the flight altitude is the standard altitude. This refers to the hovering time when the flight altitude is the standard altitude.

[0012] In conjunction with the first aspect, in one implementation, the statement based on the , as well as The results of the UAV environmental adaptability assessment include: The , as well as Substituting into the fourth formula, we obtain the comprehensive environmental adaptability index of the UAV. The fourth formula is:

[0013] in, The comprehensive environmental adaptability index of unmanned aerial vehicles (UAVs). , as well as These are preset weighting coefficients.

[0014] In conjunction with the first aspect, in one implementation, the preset weighting coefficients are determined based on the application scenario of the drone.

[0015] In conjunction with the first aspect, in one implementation, based on the above , as well as The results of the UAV environmental adaptability assessment include: based on The wind resistance stability level of the drone is obtained from the first preset range in which it is located. based on The temperature adaptability level of the drone is obtained from the second preset range in which it is located; based on The third preset interval in which the drone is located determines its altitude performance maintenance level.

[0016] Secondly, embodiments of this application provide an unmanned aerial vehicle (UAV) environmental adaptability assessment device, comprising: The acquisition module is used to acquire the hovering time of the UAV during flight tests. Maximum output power Maximum pull force at the preset flight altitude and hovering time and time Corresponding roll angle Pitch angle and yaw angle , The value of can be from 1 to n, where n is a positive integer greater than or equal to 1; The first calculation module is used to calculate based on all time points. corresponding , and Achieve wind resistance stability ; The second calculation module is used to calculate based on... as well as Temperature adaptability ; The third calculation module is used to calculate based on... as well as Obtain altitude performance retention rate ; Evaluation module, used for evaluation based on the , as well as Determine the environmental adaptability assessment results of the drone.

[0017] Thirdly, embodiments of this application provide an unmanned aerial vehicle (UAV) environmental adaptability assessment device, comprising: The processor, the memory, and the UAV environmental adaptability assessment program stored in the memory and executable by the processor, wherein when the UAV environmental adaptability assessment program is executed by the processor, the steps of the UAV environmental adaptability assessment method as described in the first aspect above are implemented.

[0018] Fourthly, embodiments of this application provide a computer-readable medium storing an unmanned aerial vehicle (UAV) environmental adaptability assessment program, wherein when the UAV environmental adaptability assessment program is executed by a processor, it implements the steps of the UAV environmental adaptability assessment method as described in the first aspect above.

[0019] The beneficial effects of the technical solutions provided in this application include: By collecting test flight data, three core quantitative indicators were obtained: wind resistance stability index, temperature adaptability coefficient, and altitude performance retention rate. This enabled a multi-dimensional and accurate quantitative assessment of the environmental adaptability of UAVs, solving the problems of strong subjectivity and lack of unified standards in the environmental adaptability assessment methods of UAVs in related technologies. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the first embodiment of the UAV environmental adaptability assessment method of this application; Figure 2 For this application Figure 1 A detailed flowchart of step S2; Figure 3 This is a schematic diagram of the architecture of an embodiment of the UAV environmental adaptability assessment method system of this application; Figure 4This is a schematic diagram of the hardware structure of the UAV environmental adaptability assessment device involved in the embodiments of this application. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0022] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0023] In a first aspect, embodiments of this application provide a method for assessing the environmental adaptability of unmanned aerial vehicles (UAVs).

[0024] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the UAV environmental adaptability assessment method of this application. Figure 1 As shown, the environmental adaptability assessment methods for unmanned aerial vehicles (UAVs) include: Step S1: Based on the UAV flight test, obtain the hovering time of the UAV during the test. Maximum output power Maximum pull force at the preset flight altitude and hovering time and time Corresponding roll angle Pitch angle and yaw angle , The value of can be from 1 to n, where n is a positive integer greater than or equal to 1; Furthermore, in one embodiment, in order to ensure the accuracy of the final evaluation results, the UAV under test can be tested before the flight test begins to ensure that all performance aspects of the UAV under test meet the test requirements; at the same time, the UAV under test's attachments are checked to simulate the daily working conditions of the UAV.

[0025] It should be understood that the pre-test preparation standards for the UAV under test in this scheme can be changed according to the purpose of this test. Those skilled in the art can carry out the pre-test preparation work for the UAV under test according to their own needs or the working environment of the UAV to be targeted.

[0026] Step S2: Based on all times corresponding , and Achieve wind resistance stability ; Furthermore, such as Figure 2 As shown, Figure 2 For this application Figure 1 A detailed flowchart of step S2.

[0027] In one embodiment, step S2 includes: Step S201: Calculate the roll angle The difference between the standard roll angle and the roll angle is the roll angle deviation. ; Step S202: Calculate the pitch angle The difference between the pitch angle and the standard pitch angle is the pitch angle deviation. ; Step S203: Calculate the yaw angle The difference between the yaw angle and the standard yaw angle is the yaw angle deviation. ; It should be understood that in this embodiment, the standard roll angle, standard pitch angle, and standard yaw angle are preset standard values ​​or ranges. For example, a reasonable range for the standard pitch angle of the UAV is set, and when the UAV pitch angle... When the pitch angle deviation exceeds this range, the degree of deviation is used to determine the pitch angle deviation. .

[0028] Furthermore, the settings for the standard roll angle, standard pitch angle, and standard yaw angle can be related to the preset working environment of the drone. For example, in a photography scenario, if the drone's pitch angle deviation exceeds [0°, 5°), it will cause obvious shaking in the image. Therefore, the range corresponding to the standard pitch angle can be set to [0°, 5°).

[0029] Similarly, those skilled in the art can set the standard roll angle, standard pitch angle, and standard yaw angle according to their own needs.

[0030] Step S204: All moments corresponding , and Substituting into the first formula, we obtain the wind resistance stability. ; Specifically, in one embodiment, the first formula is:

[0031] in, for Deviation from standard roll angle for Deviation from the standard pitch angle, for Deviation from the standard yaw angle.

[0032] In this embodiment, the first formula comprehensively quantifies the attitude stability of the UAV under wind disturbance by combining the magnitude of the attitude deviation vector with the time-domain average. By taking the square root of the sum of the squares of the roll angle, pitch angle, and yaw angle deviations at each sampling point, the three attitude changes are combined into a comprehensive deviation value, avoiding the information fragmentation caused by examining the three angles separately.

[0033] Furthermore, in this embodiment, by analyzing all time points... The average attitude deviation over the entire test period is obtained by arithmetically averaging the comprehensive deviation values. This method can effectively eliminate the influence of single-point noise or instantaneous disturbances, making the evaluation results more statistically stable.

[0034] Based on the above formula, the following is obtained: The smaller the value, the less the drone's attitude fluctuations in the roll, pitch, and yaw directions are under wind disturbance, and the more stable its flight attitude can be maintained. This means that the flight control system has good resistance to wind interference and is suitable for performing missions in strong winds or gusts.

[0035] Conversely, what is obtained The higher the value, the more severe the drone's attitude swaying under wind disturbance, with at least one of the three directions showing a significant deviation. A larger value indicates... This not only affects flight safety but may also adversely impact the data quality of airborne mission equipment.

[0036] Step S3: According to as well as Temperature adaptability ; Specifically, in one embodiment, step S3 includes: Will as well as Substituting into the second formula, we obtain the temperature adaptability. The second formula is:

[0037] in, Standard hovering time. This is the standard maximum output power.

[0038] In this embodiment, the first part of the second formula reflects the impact of temperature changes on battery discharge capacity and energy efficiency. When the temperature is too low, causing a decrease in electrolyte activity, or when the temperature is too high, causing an increase in battery internal resistance, the hovering time will be shortened. The second part of the formula reflects the impact of temperature on the extreme output capabilities of components such as the battery, motor, and ESC. Under extreme temperatures, the rate performance of the battery and the heat dissipation capacity of the motor are limited, and the maximum power will decrease. Multiplying the two means that only when both endurance and power output capabilities are simultaneously achieved can a drone truly possess good temperature adaptability.

[0039] Based on this second formula, if the obtained =1 indicates that the drone's performance is basically the same as that at room temperature under the test temperature, and the battery and electric drive system show good temperature robustness. If obtained A value less than 1 indicates that temperature has a negative impact on the overall performance of the drone; the lower the value, the worse the adaptability. If obtained A value greater than 1 indicates that the drone's performance has improved.

[0040] It should be understood that the standard hovering time and standard output power in this embodiment refer to the hovering time and output power of the UAV under a preset temperature environment. In this embodiment, the preset temperature is 25°C. Those skilled in the art can change the preset temperature according to their own needs to make the evaluation results closer to the actual working environment.

[0041] Step S4: According to as well as Obtain altitude performance retention rate ; Specifically, in one embodiment, step S4 includes: Will as well as Substituting into the third formula, we obtain the altitude performance retention rate. The third formula is:

[0042] in, This is the maximum pull force when the flight altitude is the standard altitude. This refers to the hovering time when the flight altitude is the standard altitude.

[0043] In this embodiment, the first part of the third formula reflects the impact of high-altitude, low-pressure environments on propeller thrust. As altitude increases, air density decreases, and the thrust generated by the propeller at the same rotational speed will significantly decrease, thus reducing this factor. This characteristic directly affects the UAV's maximum takeoff weight, maneuverability, and wind resistance. The second part of the formula reflects the impact of high-altitude environments on hovering time. Due to the reduced air density leading to decreased propulsion efficiency, more power is required to maintain the same lift. Simultaneously, the heat loss of the motor and ESC may also change, thus shortening the flight time. Furthermore, battery performance degradation in low-temperature, high-altitude environments further affects this factor. Multiplying both means that both power output and flight endurance must be met simultaneously to achieve a high altitude performance retention rate.

[0044] Based on this third formula, if the obtained =1 indicates that the drone can maintain power and endurance performance similar to that at sea level in high-altitude environments, demonstrating that components such as motors and propellers have good altitude adaptability and are suitable for performing tasks in plateau areas.

[0045] If obtained A value less than 1 indicates that altitude has a negative impact on drones. The lower the value, the weaker the drone's ability to perform tasks in plateau or high-altitude areas.

[0046] If obtained A value greater than 1 indicates that the increase in altitude has a positive impact on the drone. This situation is relatively rare, and if it occurs, it needs to be analyzed in conjunction with the specific operating conditions.

[0047] It should be understood that the standard height in this embodiment is sea level. Those skilled in the art can adjust the standard height according to their own circumstances to suit their own work scenarios.

[0048] Step S5: Based on the above , as well as Determine the environmental adaptability assessment results of the drone.

[0049] Furthermore, in one embodiment, step S5 includes: The , as well as Substituting into the fourth formula, we obtain the comprehensive environmental adaptability index of the UAV. The fourth formula is:

[0050] in, The comprehensive environmental adaptability index of unmanned aerial vehicles (UAVs). , as well as These are preset weighting coefficients.

[0051] In this embodiment, a comprehensive environmental adaptability index is obtained by weighting various environmental adaptability quantitative indicators together with their corresponding weights. This index is then calculated based on the formula described above. The higher the value, the stronger the drone's overall environmental adaptability and the better it can adapt to working under complex conditions.

[0052] It should be understood that, in this embodiment, , as well as To pre-set the weighting coefficients, those skilled in the art can adjust the weighting according to their own needs. , as well as The value is set to suit the specific environmental adaptability requirements of the task. For example, for high-altitude rescue missions, the altitude adaptability weight can be increased. For fire reconnaissance missions, the weighting of temperature adaptability can be increased. .

[0053] Furthermore, in one embodiment, step 5 further includes: based on The wind resistance stability level of the drone is obtained from the first preset range in which it is located. based on The temperature adaptability level of the drone is obtained from the second preset range in which it is located; based on The third preset interval in which the drone is located determines its altitude performance maintenance level.

[0054] Specifically, in this embodiment, the wind resistance stability level classification standard is as follows: excellent: ≤5.0 Good: 5.0 ≤8.0 Pass: 8.0< ≤12.0 Unqualified: >12.0 The temperature adaptability rating standard is as follows: excellent: ≥ 0.85 Good: 0.70≤ <0.85 Qualified: 0.60 ≤ <0.70 Unqualified: <0.60 The standard for classifying the performance at altitudes is as follows: excellent: ≥ 0.80 Good: 0.65 ≤ <0.80 Qualified: 0.50 ≤ <0.65 Unqualified: <0.50 It should be understood that, compared to the comprehensive environmental adaptability index of the UAV calculated in the above embodiments, this embodiment focuses more on intuitively reflecting the UAV's adaptability in a specific environment and highlights the UAV's strengths and weaknesses in a certain aspect. This evaluation method is more suitable for some single application scenarios, and those skilled in the art can choose which method to implement according to their own needs.

[0055] Furthermore, in this embodiment, the first, second, and third preset intervals can be set according to the needs of those skilled in the art.

[0056] In this embodiment, by establishing three core mathematical models—wind resistance stability index, temperature adaptability coefficient, and altitude performance retention rate—a multi-dimensional and accurate quantitative assessment of the environmental adaptability of UAVs is achieved. This solves the problems of single assessment dimensions, reliance on subjective experience, and lack of unified standards in UAV environmental adaptability assessment methods in related technologies.

[0057] Secondly, embodiments of this application also provide an unmanned aerial vehicle (UAV) environmental adaptability assessment device.

[0058] In one embodiment, reference is made to Figure 3 , Figure 3 This is a functional module diagram of an embodiment of the UAV environmental adaptability assessment device of this application. Figure 3 As shown, the UAV environmental adaptability assessment device includes: Module 10 is used to acquire the hovering time of the UAV during the flight test. Maximum output power Maximum pull force at the preset flight altitude and hovering time and time Corresponding roll angle Pitch angle and yaw angle , The value of can be from 1 to n, where n is a positive integer greater than or equal to 1; The first calculation module 20 is used to calculate based on all time points. corresponding , and Achieve wind resistance stability ; The second calculation module 30 is used to calculate based on as well as Temperature adaptability ; The third calculation module 40 is used to calculate based on as well as Obtain altitude performance retention rate ; Evaluation module 50, for evaluating based on the , as well as Determine the environmental adaptability assessment results of the drone Furthermore, in one embodiment, the first computing module 20 is used for: All moments corresponding , and Substituting into the first formula, we obtain the wind resistance stability. The first formula is:

[0059] in, for Deviation from standard roll angle for Deviation from the standard pitch angle, for Deviation from the standard yaw angle.

[0060] Furthermore, in one embodiment, the second calculation module 30 is used for: Will as well as Substituting into the second formula, we obtain the temperature adaptability. The second formula is:

[0061] in, Standard hovering time. This is the standard maximum output power.

[0062] Furthermore, in one embodiment, the second calculation module 30 is used for: Will as well as Substituting into the second formula, we obtain the temperature adaptability. The second formula is:

[0063] in, Standard hovering time. This is the standard maximum output power.

[0064] Furthermore, in one embodiment, the third calculation module 40 is used for: Will as well as Substituting into the third formula, we obtain the altitude performance retention rate. The third formula is:

[0065] in, This is the maximum pull force when the flight altitude is the standard altitude. This refers to the hovering time when the flight altitude is the standard altitude.

[0066] Furthermore, in one embodiment, the evaluation module 50 is used for: The , as well as Substituting into the fourth formula, we obtain the comprehensive environmental adaptability index of the UAV. The fourth formula is:

[0067] in, The comprehensive environmental adaptability index of unmanned aerial vehicles (UAVs). , as well as These are preset weighting coefficients.

[0068] Furthermore, in one embodiment, the evaluation module 50 is used for: based on The wind resistance stability level of the drone is obtained from the first preset range in which it is located. based on The temperature adaptability level of the drone is obtained from the second preset range in which it is located; based on The third preset interval in which the drone is located determines its altitude performance maintenance level.

[0069] The functions of each module in the above-mentioned UAV environmental adaptability assessment device correspond to the steps in the above-mentioned UAV environmental adaptability assessment method embodiment, and their functions and implementation processes will not be described in detail here.

[0070] Thirdly, embodiments of this application provide an unmanned aerial vehicle (UAV) environmental adaptability assessment device, which can be a device with data processing capabilities such as a personal computer (PC), a laptop computer, or a server.

[0071] Reference Figure 4 , Figure 4This is a schematic diagram of the hardware structure of the UAV environmental adaptability assessment device involved in the embodiments of this application. In the embodiments of this application, the UAV environmental adaptability assessment device may include a processor, a memory, a communication interface, and a communication bus.

[0072] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0073] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting internal components of the UAV environmental adaptability assessment equipment, as well as interfaces used for interconnecting the UAV environmental adaptability assessment equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0074] Memory can be various types of media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0075] The processor can be a general-purpose processor, which can call the UAV environmental adaptability assessment program stored in the memory and execute the UAV environmental adaptability assessment method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the UAV environmental adaptability assessment program is called can be referred to the various embodiments of the UAV environmental adaptability assessment method of this application, and will not be repeated here.

[0076] Those skilled in the art will understand that Figure 4 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0077] Fourthly, embodiments of this application also provide a computer-readable medium.

[0078] This application provides a computer-readable medium storing a UAV environmental adaptability assessment program, wherein when the UAV environmental adaptability assessment program is executed by a processor, it implements the steps of the UAV environmental adaptability assessment method described above.

[0079] The method implemented when the UAV environmental adaptability assessment procedure is executed can be referred to in various embodiments of the UAV environmental adaptability assessment method of this application, and will not be repeated here.

[0080] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0081] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0082] In the description of the embodiments in this application, terms such as "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a specific manner.

[0083] In the description of the embodiments of this application, unless otherwise stated, " / " means "or", for example, A / B can mean A or B; the "and / or" in the text is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. In addition, in the description of the embodiments of this application, "multiple" refers to two or more.

[0084] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0085] 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 this application, in essence, 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 medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0086] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for assessing the environmental adaptability of unmanned aerial vehicles (UAVs), characterized in that, The method for assessing the environmental adaptability of unmanned aerial vehicles (UAVs) includes: Based on UAV flight tests, the hovering time of the UAV during the test was obtained. Maximum output power Maximum pull force at the preset flight altitude and hovering time and time Corresponding roll angle Pitch angle and yaw angle ,in, The value of can be from 1 to n, where n is a positive integer greater than or equal to 1; According to all times corresponding , and Achieve wind resistance stability ; according to as well as Temperature adaptability ; according to as well as Obtain altitude performance retention rate ; Based on the above , as well as Determine the environmental adaptability assessment results of the drone.

2. The method for assessing the environmental adaptability of unmanned aerial vehicles as described in claim 1, characterized in that, The statement based on all times corresponding , and Achieve wind resistance stability include: All moments corresponding , and Substituting into the first formula, we obtain the wind resistance stability. The first formula is: in, for Deviation from standard roll angle for Deviation from the standard pitch angle, for Deviation from the standard yaw angle.

3. The method for assessing the environmental adaptability of unmanned aerial vehicles as described in claim 1, characterized in that, According to as well as Temperature adaptability include: Will as well as Substituting into the second formula, we obtain the temperature adaptability. The second formula is: in, Standard hovering time. This is the standard maximum output power.

4. The method for assessing the environmental adaptability of unmanned aerial vehicles as described in claim 1, characterized in that, According to as well as Obtain altitude performance retention rate include: Will as well as Substituting into the third formula, we obtain the altitude performance retention rate. The third formula is: in, This is the maximum pull force when the flight altitude is the standard altitude. This refers to the hovering time when the flight altitude is the standard altitude.

5. The method for assessing the environmental adaptability of unmanned aerial vehicles as described in claim 1, characterized in that, The basis of , as well as The results of the UAV environmental adaptability assessment include: The , as well as Substituting into the fourth formula, we obtain the comprehensive environmental adaptability index of the UAV. The fourth formula is: in, The comprehensive environmental adaptability index of unmanned aerial vehicles (UAVs). , as well as These are preset weighting coefficients.

6. The method for assessing the environmental adaptability of unmanned aerial vehicles as described in claim 5, characterized in that, The preset weighting coefficients are determined based on the application scenarios of the drones.

7. The method for assessing the environmental adaptability of unmanned aerial vehicles as described in claim 1, characterized in that, Based on the above , as well as The results of the UAV environmental adaptability assessment include: based on The wind resistance stability level of the drone is obtained from the first preset range in which it is located. based on The temperature adaptability level of the drone is obtained from the second preset range in which it is located; based on The third preset interval in which the drone is located determines its altitude performance maintenance level.

8. A device for assessing the environmental adaptability of unmanned aerial vehicles (UAVs), characterized in that, The UAV environmental adaptability assessment device includes: The acquisition module is used to acquire the hovering time of the UAV during flight tests. Maximum output power Maximum pull force at the preset flight altitude and hovering time and time Corresponding roll angle Pitch angle and yaw angle , The value of can be from 1 to n, where n is a positive integer greater than or equal to 1; The first calculation module is used to calculate based on all time points. corresponding , and Achieve wind resistance stability ; The second calculation module is used to calculate based on... as well as Temperature adaptability ; The third calculation module is used to calculate based on... as well as Obtain altitude performance retention rate ; Evaluation module, used for evaluation based on the , as well as Determine the environmental adaptability assessment results of the drone.

9. An environmental adaptability assessment device for unmanned aerial vehicles (UAVs), characterized in that, The UAV environmental adaptability assessment device includes a processor, a memory, and a UAV environmental adaptability assessment program stored in the memory and executable by the processor, wherein when the UAV environmental adaptability assessment program is executed by the processor, it implements the steps of the UAV environmental adaptability assessment method as described in any one of claims 1 to 7.

10. A computer-readable medium, characterized in that, The computer-readable medium stores an unmanned aerial vehicle (UAV) environmental adaptability assessment program, wherein when the UAV environmental adaptability assessment program is executed by a processor, it implements the steps of the UAV environmental adaptability assessment method as described in any one of claims 1 to 7.

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