An adaptive design analysis method and system for flapping-wing aircraft

Abstract

The application discloses a flapping-wing aircraft adaptive design analysis method and system, and relates to the technical field of adaptive design analysis. The method comprises the following steps: obtaining a flight task of a flapping-wing aircraft, and extracting flight environment information according to the flight task; extracting biological distribution information according to the flight environment information; performing biological adaptability design analysis on the flapping-wing aircraft according to the biological distribution information, obtaining an adaptability result, and judging whether to optimize the flapping-wing aircraft according to the adaptability result; if the flapping-wing aircraft is optimized, a biological optimization scheme of the flapping-wing aircraft is generated; performing environmental adaptability analysis on the flapping-wing aircraft, obtaining an environmental optimization scheme, adjusting the flapping-wing aircraft in combination with the biological optimization scheme, and updating a design scheme of the flapping-wing aircraft. The application improves the comprehensiveness of the adaptability design analysis of the flapping-wing aircraft.

Description

Technical Field

[0001] This application relates to the technical field of adaptive design analysis, and in particular to an adaptive design analysis method and system for flapping-wing aircraft. Background Technology

[0002] Ornithopter aircraft are a new type of aircraft designed based on biomimetic principles. Their working principle is similar to the flight of birds and insects, generating lift and thrust through wing flapping. Ornithopter aircraft have broad application prospects in many fields, including environmental monitoring, biochemical detection, and traffic monitoring. Ornithopter aircraft need to fly in various complex environments; therefore, adaptability analysis can assess the aircraft's flight capability and stability in different environments, ensuring its safe and effective mission execution under various conditions. However, current adaptability design analyses for ornithopter aircraft only consider adaptation to conventional environments such as temperature and humidity. In reality, ornithopter aircraft also need to adapt to other challenges in nature. Therefore, simply adjusting the materials of ornithopter aircraft based on temperature and humidity takes into account too few factors, resulting in limited overall performance improvement and insufficient optimization. Summary of the Invention

[0003] The purpose of this invention is to provide an adaptive design analysis method and system for flapping-wing aircraft to solve the problems mentioned in the background art.

[0004] Firstly, this application provides an adaptive design analysis method for flapping-wing aircraft, which adopts the following technical solution:

[0005] Obtain the flight mission of the flapping-wing aircraft and extract the flight environment information based on the flight mission;

[0006] The distribution of organisms is extracted from the flight environment information and recorded as biological distribution information;

[0007] Based on biological distribution information, a biological adaptability design analysis was conducted on the flapping-wing aircraft to obtain the adaptation results;

[0008] Based on the adaptation results, determine whether to optimize the flapping-wing aircraft. If the flapping-wing aircraft is optimized, then match and generate a biological optimization scheme for the flapping-wing aircraft.

[0009] An environmental adaptability analysis was conducted on the flapping-wing aircraft to obtain an environmental optimization scheme. The flapping-wing aircraft was then adjusted and its design scheme was updated by combining the biological optimization scheme.

[0010] Preferably, the step of obtaining the flight mission of the flapping-wing aircraft and extracting flight environment information based on the flight mission specifically includes:

[0011] Obtain the flight mission of the flapping-wing aircraft, and extract the flight location information and flight time information based on the flight mission;

[0012] Extract location features from flight location information and obtain the frequency of location features;

[0013] Location features that meet a preset frequency standard are selected as standard features. All standard features are then merged to form flight locations, thus obtaining standard locations.

[0014] Based on flight time information, the flight frequency of different dates is statistically analyzed, and dates whose flight frequency reaches a preset flight frequency threshold are selected to form a standard date range;

[0015] Based on flight time information, the flight frequency at different time points is statistically analyzed, and the time points where the flight frequency reaches the preset flight frequency threshold are selected to form a standard time point range.

[0016] Historical environmental data is acquired, and the corresponding environmental information is retrieved from the historical environmental data based on the standard location, standard date range, and standard time point range, and recorded as flight environmental information.

[0017] Preferably, the step of extracting biological distribution information based on flight environment information and recording it as biological distribution information specifically includes:

[0018] Acquire historical biological data, and use the historical biological data to find and record the organisms living in the standard locations as location organisms;

[0019] Obtain the biological habits of organisms at the location, and extract the activity dates and times of the organisms based on their biological habits;

[0020] Select location organisms from the location organisms whose activity dates are within the standard date range and whose activity times are within the standard time range, and record them as time organisms;

[0021] The living environment of organisms is extracted based on their habits. Then, organisms whose living environment is in the flight environment information are selected from the time organisms and used as environmental organisms.

[0022] The number of environmental organisms is counted, and biological distribution information is formed based on the number of environmental organisms.

[0023] Preferably, the step of performing a bio-adaptive design analysis on the flapping-wing aircraft based on biological distribution information to obtain the adaptation results specifically includes:

[0024] Acquire design data for a flapping-wing aircraft, including flight altitude range, wing operation information, and appearance information;

[0025] Organisms whose biological activity altitude falls within the flight altitude range are selected from environmental organisms and recorded as flying organisms;

[0026] Determine whether flying creatures are affected by flapping-wing aircraft, delete flying creatures that are not affected by flapping-wing aircraft, and obtain the affected creatures;

[0027] Based on biological habits and design data, the organisms that are affected are classified to obtain classification results;

[0028] Based on the classification results and biological distribution information, an adaptive design analysis of flapping-wing aircraft was conducted, yielding adaptive results.

[0029] Preferably, the step of classifying the organisms based on their habits and design data to obtain classification results specifically includes:

[0030] Obtain biological data that affects organisms, and compare the biological data with the design data to obtain the similarity between the flapping-wing aircraft and the affected organisms, which is recorded as the impact similarity.

[0031] Determine whether the similarity of the impact reaches the preset similarity standard. If the similarity of the impact reaches the preset similarity standard, then determine whether the impacting organism attacks its own kind based on the biological habits of the impacting organism.

[0032] If an influencing organism attacks its own kind, it will be classified as an aggressive organism; if an influencing organism does not attack its own kind, it will be classified as a non-reactive organism.

[0033] If the similarity of the affected organism does not reach the preset similarity standard, then the associated organisms of the affected organism are obtained, and the affected organism is classified according to the associated organisms.

[0034] Preferably, the step of obtaining associated organisms of the influencing organism and classifying the influencing organisms based on the associated organisms if the similarity does not reach the preset similarity standard is as follows:

[0035] If the similarity does not reach the preset similarity standard, then the natural enemies of the organisms that affect it are obtained, and the similarity between the flapping-wing aircraft and the natural enemies is compared and recorded as the natural enemy similarity.

[0036] Determine whether the similarity of the natural enemy reaches the preset similarity standard. If the similarity of the natural enemy reaches the preset similarity standard, the affected organism will be recorded as an avoidant organism.

[0037] If the similarity of the natural enemy does not reach the preset similarity standard, then the prey that affects the organism is obtained, and the similarity between the flapping-wing aircraft and the prey is compared and recorded as the prey similarity.

[0038] Determine whether the similarity of the prey meets the preset similarity standard. If the similarity of the prey meets the preset similarity standard, the affected creature will be recorded as an attacking creature.

[0039] If the similarity of the prey does not reach the preset similarity standard, then it is determined whether the impact similarity is less than the preset minimum similarity value.

[0040] If the impact similarity is less than the preset minimum similarity value, the affected organism will be recorded as an evasive organism; otherwise, it will be recorded as an unresponsive organism.

[0041] Preferably, the step of acquiring biological data affecting the organisms, comparing the biological data and design data to obtain the similarity between the flapping-wing aircraft and the affecting organisms, and recording this as the influence similarity, specifically includes:

[0042] Acquire biological data that affects organisms, including biological morphology, biological sounds, and biological flight postures;

[0043] Extract the shape of the flapping-wing aircraft based on the appearance information, compare the similarity between the biological shape and the aircraft shape, and record it as the shape similarity.

[0044] The wing vibration noise and wing vibration posture are extracted based on the wing movement information.

[0045] The similarity between wing vibration noise and biological sound is compared and recorded as sound similarity.

[0046] The similarity between the wing vibration posture and the biological flight posture is obtained and recorded as the posture similarity.

[0047] The similarity coefficients for appearance, voice, and posture are set separately, and the influence similarity is calculated based on the coefficients.

[0048] Preferably, the step of analyzing the adaptive design of the flapping-wing aircraft based on the classification results and biological distribution information to obtain the adaptive results specifically includes:

[0049] The attack strength of the attacking creature is obtained based on its biological habits, and the damage to the flapping-wing aircraft is estimated based on the attack strength.

[0050] The number of attacking creatures is counted based on the distribution information of the creatures, and the degree of attack is determined by combining the damage level with the number of attacking creatures.

[0051] Sum the attack levels of all attacking creatures to obtain the attack impact level;

[0052] Extract the hiding range and hiding time of the hiding creature based on its biological habits, and obtain the hiding strength based on the hiding range and hiding time.

[0053] The number of creatures that are hiding is counted based on the distribution information of the organisms, and the degree of hiding is obtained by combining the hiding intensity.

[0054] The degree of avoidance of all dodging creatures is summed to obtain the degree of influence of avoidance, which is then combined with the degree of influence of attack to obtain the fitness value.

[0055] Preferably, the step of determining whether to optimize the flapping-wing aircraft based on the adaptation results, and if optimization is desired, then matching and generating a biological optimization scheme for the flapping-wing aircraft, specifically includes:

[0056] Determine whether the adaptability value meets the preset adaptability value standard. If it meets the preset adaptability value standard, then do not optimize the flapping-wing aircraft.

[0057] If the preset adaptability standard is not met, then optimize the flapping-wing aircraft;

[0058] The design parameters are extracted from the design data, the design parameter range is set, and the design parameters are adjusted within the design parameter range.

[0059] The adjusted design parameters are recorded as adjustment parameters, and a biological optimization scheme is formed based on the adjustment parameters.

[0060] Secondly, the adaptive design analysis system for flapping-wing aircraft provided in this application adopts the following technical solution:

[0061] An adaptive design analysis system for flapping-wing aircraft, comprising:

[0062] The environmental information module acquires the flight mission of the flapping-wing aircraft and extracts flight environment information based on the flight mission.

[0063] The biological distribution module extracts and records biological distribution information based on flight environment information.

[0064] The adaptation analysis module performs biological adaptability design analysis on flapping-wing aircraft based on biological distribution information to obtain adaptation results;

[0065] The optimization module determines whether to optimize the flapping-wing aircraft based on the adaptability results. If the flapping-wing aircraft is optimized, a biological optimization scheme for the flapping-wing aircraft is generated.

[0066] The optimization and adjustment module performs environmental adaptability analysis on the flapping-wing aircraft, obtains environmental optimization schemes, and combines biological optimization schemes to adjust the flapping-wing aircraft and update the design scheme of the flapping-wing aircraft.

[0067] In summary, this application includes at least one of the following beneficial technical effects:

[0068] 1. Flight environment information is extracted based on the flight mission of the flapping-wing aircraft, and the distribution of organisms is obtained and recorded as biological distribution information. Based on this information, a biological adaptability design analysis is performed on the flapping-wing aircraft, and the design scheme is optimized according to the results. The interaction between the flapping-wing aircraft and organisms during operation is considered, resulting in a more comprehensive and extensive adaptive design analysis, thus improving the overall comprehensiveness of the adaptive design analysis for the flapping-wing aircraft.

[0069] 2. Based on the flight location, date range, and time range of the ornithopter, organisms within the range of the ornithopter's missions are screened. Further screening is conducted based on the flight environment, and finally, a final screening is performed based on the aircraft's flight altitude. This results in organisms with an influence on the ornithopter, which are then used for adaptive design analysis. This reduces the number of irrelevant organisms in the adaptive design analysis, allowing for faster and more accurate results and improving the accuracy of adaptive design analysis for ornithopters.

[0070] 3. Determine the similarity between the organism and the flapping-wing aircraft in terms of appearance, sound, and flight attitude, and classify the organism based on the similarity. Analyze the impact of the organism on the flapping-wing aircraft and the impact of the flapping-wing aircraft on the organism based on the classification results, thus completing the biological adaptive design analysis. This approach considers the mutual influence between the organism and the flapping-wing aircraft, providing a more comprehensive approach. Furthermore, incorporating biological adaptive design analysis based on the distribution of organisms makes it more realistic and improves the practicality of the adaptive design analysis for flapping-wing aircraft. Attached Figure Description

[0071] Figure 1 This is a schematic diagram illustrating the specific steps of an embodiment of the adaptive design analysis method for a flapping-wing aircraft according to the present invention.

[0072] Figure 2 This is a schematic diagram of the module connections of an embodiment of the adaptive design analysis system for flapping-wing aircraft of the present invention. Detailed Implementation

[0073] The following examples and... Figures 1-2 The present invention will be described in further detail, but the embodiments of the present invention are not limited thereto.

[0074] This invention discloses an adaptive design analysis method for flapping-wing aircraft, specifically including the following steps:

[0075] Step S1: Obtain the flight mission of the flapping-wing aircraft and extract the flight environment information based on the flight mission.

[0076] Step S2: Extract biological distribution information based on flight environment information and record it as biological distribution information.

[0077] Step S3: Based on the biological distribution information, conduct a biological adaptability design analysis on the flapping-wing aircraft to obtain the adaptability results.

[0078] Step S4: Determine whether to optimize the flapping-wing aircraft based on the adaptation results. If the flapping-wing aircraft is optimized, then generate a biological optimization scheme for the flapping-wing aircraft.

[0079] Step S5: Conduct environmental adaptability analysis on the flapping-wing aircraft to obtain an environmental optimization scheme. Combine this with a biological optimization scheme to adjust the flapping-wing aircraft and update its design scheme.

[0080] In practical applications, ornithopter aircraft need to fly in various complex environments. Therefore, adaptability analysis can assess the aircraft's flight capabilities and stability in different environments, ensuring its safe and effective mission execution under various conditions. However, general assessments often only evaluate the aircraft's environmental adaptability, leading to improvements limited to environmental performance. But in reality, because ornithopter aircraft operate in nature, they impact and are influenced by organisms. Therefore, biological adaptability design analysis can further enhance aircraft performance, enabling more comprehensive adaptation to the working environment. Adaptive design refers to making localized modifications to an existing product while maintaining the overall design principles. These localized modifications help reduce the complexity of design changes and maximize aircraft performance.

[0081] The steps for obtaining flight missions for ornithopter aircraft and extracting flight environment information based on those missions are as follows:

[0082] Step S11: Obtain the flight mission of the flapping-wing aircraft, and extract the flight location information and flight time information based on the flight mission.

[0083] Different flapping-wing aircraft have different working content and tasks, so their actual flight locations and flight times also vary. Based on the flight mission, the flight location information and flight time information are extracted from the flight mission.

[0084] Step S12: Extract location features of the flight location based on the flight location information and obtain the frequency of the location features.

[0085] The location characteristics of the flight site include topography, terrain, and the distribution of rivers, etc.

[0086] Step S13: Select location features that meet the preset frequency standard as standard features, and merge all standard features to form flight locations to obtain standard locations.

[0087] Different aircraft need to adapt to different locations. For example, some aircraft need to adapt to open plains, while others need to adapt to rugged mountains and forests.

[0088] Step S14: Based on the flight time information, count the flight frequency of different dates, filter the dates whose flight frequency reaches the preset flight frequency threshold, and form a standard date range.

[0089] Step S15: Based on the flight time information, the flight frequency at different time points is statistically analyzed, and the time points where the flight frequency reaches the preset flight frequency threshold are selected to form a standard time point range.

[0090] Step S16: Obtain historical environmental data. Based on the standard location, standard date range, and standard time point range, find the corresponding environmental information from the historical environmental data and record it as flight environmental information.

[0091] In practical applications, different flapping-wing aircraft require different operating locations and times. For example, some flapping-wing aircraft primarily operate in winter, while others operate mainly in summer. Additionally, some aircraft operate during the day, while others operate at night. Operating at different locations, dates, and times results in varying flight environments. This leads to changes in the corresponding environmental information, including factors such as temperature and humidity. For instance, if the standard location is City A, the date range is from July 1st to September 15th, and the time is from 7:00 AM to 9:00 AM, then based on historical environmental data for City A, the corresponding temperature, humidity, and air quality information can be retrieved as the environmental information.

[0092] The steps for extracting biological distribution information from flight environment information and recording it as biological distribution information are as follows:

[0093] Step S21: Obtain historical biological data, find the organisms living in the standard location based on the historical biological data and record them as location organisms.

[0094] Different organisms have different habits and different survival requirements. We can find organisms that can live in a standard location based on the topographical features of that location. For example, many birds live in areas with many trees.

[0095] Step S22: Obtain the biological habits of the organisms at the location, and extract the activity dates and activity times of the organisms based on the biological habits.

[0096] Different organisms have different activity times. For example, owls are accustomed to hunting at night, while most other birds are active during the day.

[0097] Step S23: Select location creatures from the location creatures whose activity dates are within the standard date range and whose activity times are within the standard time range, and record them as time creatures.

[0098] For example, some animals need to hibernate and therefore do not move during the winter, and the range of their active periods also varies among different organisms.

[0099] Step S24: Extract the living environment of the organism based on its habits, and select the organisms whose living environment is in the flight environment information from the time organisms and use them as environmental organisms.

[0100] Some organisms also have requirements for their living environment. Excessively high or low temperatures and humidity can prevent some organisms from surviving while working in an aircraft.

[0101] Step S25: Count the number of environmental organisms and generate biological distribution information based on the number of environmental organisms.

[0102] In practical applications, not all organisms interfere with ornithopter aircraft, nor do ornithopter aircraft affect all organisms. When certain organisms are absent from the ornithopter aircraft's operating environment, they naturally have no impact on those organisms. For example, some organisms hibernate, and ornithopter aircraft operate in winter. Therefore, these organisms will not interfere with the ornithopter aircraft's operation, and the ornithopter aircraft's operation is unlikely to interfere with these organisms. Thus, ornithopter aircraft do not need to adapt to these organisms. Therefore, ignoring the adaptation analysis results of these organisms can effectively reduce data processing and obtain more accurate and faster adaptation analysis results.

[0103] The steps for conducting a bio-adaptive design analysis of flapping-wing aircraft based on biological distribution information to obtain adaptive results are as follows:

[0104] Step S31: Obtain the design data of the flapping-wing aircraft, which includes the flight altitude range, wing operation information and appearance information.

[0105] Step S32: Select organisms from environmental organisms whose biological activity altitude is within the flight altitude range and record them as flying organisms.

[0106] The impact of aircraft on organisms varies depending on their flight altitude. When organisms cannot reach the altitude of an aircraft, they are unlikely to influence each other. For example, ornithopter-type aircraft fly at an altitude of ten to twenty meters above the ground. Some terrestrial organisms will not come into contact with the aircraft, nor will they be affected by its sound, sight, or other stimuli. Therefore, they will not influence each other and are not considered flying organisms.

[0107] Step S33: Determine whether the flying creatures are affected by the flapping-wing aircraft. Delete the flying creatures that are not affected by the flapping-wing aircraft to obtain the affected creatures.

[0108] Some organisms are not sensitive to flapping-wing aircraft. Even if they come into contact with or are within the range of an flapping-wing aircraft, they will not be affected by it. For example, fish live in water and have limited perception of flying objects in the air. They are also generally not very sensitive to dynamics on the water surface.

[0109] Step S34: Classify the influencing organisms based on their habits and design data to obtain classification results.

[0110] Step S35: Based on the classification results and biological distribution information, analyze the adaptive design of the flapping-wing aircraft to obtain the adaptive results.

[0111] In practical applications, based on the actual flight altitude of the flapping-wing aircraft and the biological habits of the organisms, organisms that will not be affected by the flapping-wing aircraft can be further screened, reducing the analysis and interference of irrelevant organisms and improving the accuracy and speed of the biological adaptability design analysis of the flapping-wing aircraft.

[0112] The specific steps for classifying organisms based on their habits and design data to obtain classification results are as follows:

[0113] Step S341: Obtain biological data affecting the organisms, and compare the biological data with the design data to obtain the similarity between the flapping-wing aircraft and the organisms affecting it, and record it as the similarity of the impact.

[0114] Step S342: Determine whether the influence similarity reaches the preset similarity standard. If the influence similarity reaches the preset similarity standard, determine whether the influence organism attacks its own kind based on the biological habits of the influence organism.

[0115] In step S343, if the influencing organism attacks its own kind, the influencing organism is classified as an attacking organism; if the influencing organism does not attack its own kind, the influencing organism is classified as a non-reactive organism.

[0116] Step S344: If the similarity of the impact does not reach the preset similarity standard, then obtain the related organisms of the impacting organism and classify the impacting organisms according to the related organisms.

[0117] In practical applications, even creatures within the sphere of influence of a flapping-wing aircraft may not necessarily affect the aircraft, and vice versa. If the influencing creature is highly similar to the aircraft, then its behavior is assessed to determine whether it will attack the aircraft. Some creatures attack their own kind due to territorial disputes; these are classified as aggressive creatures. If a creature does not attack its own kind, and such creatures generally do not avoid each other, it is determined that the creature will not react to the flapping-wing aircraft and is therefore classified as a non-reactive creature.

[0118] If the similarity of the influencing organism does not reach the preset similarity standard, then the steps of obtaining the associated organisms of the influencing organism and classifying the influencing organisms based on the associated organisms are as follows:

[0119] Step S3441: If the similarity of the impact does not reach the preset similarity standard, then obtain the natural enemies of the organisms that are affected, compare the similarity between the flapping-wing aircraft and the natural enemies, and record it as the natural enemy similarity.

[0120] Step S3442: Determine whether the similarity of the natural enemy reaches the preset similarity standard. If the similarity of the natural enemy reaches the preset similarity standard, the affected organism will be recorded as an evading organism.

[0121] Step S3443: If the similarity of the natural enemy does not reach the preset similarity standard, then obtain the prey that affects the organism, compare the similarity between the flapping-wing aircraft and the prey, and record it as the prey similarity.

[0122] Step S3444: Determine whether the similarity of the prey reaches the preset similarity standard. If the similarity of the prey reaches the preset similarity standard, the affected creature will be recorded as the attacking creature.

[0123] Step S3445: If the prey similarity does not reach the preset similarity standard, then determine whether the influence similarity is less than the preset minimum similarity value.

[0124] In step S3446, if the influence similarity is less than the preset minimum similarity value, the influencing organism is recorded as an evading organism; otherwise, it is recorded as an unresponsive organism.

[0125] In practical application, if the similarity index does not reach the preset similarity standard, the similarity between the flapping-wing aircraft and the predator of the affected creature is assessed. If the similarity is high, the affected creature may mistake the flapping-wing aircraft for its predator and avoid it; such creatures are then classified as avoidant creatures. If the flapping-wing aircraft is also dissimilar to its predator, its similarity to its prey is assessed. If the flapping-wing aircraft is similar to the affected creature's prey, the affected creature may mistake the flapping-wing aircraft for its prey and attack. If the flapping-wing aircraft is dissimilar to the affected creature, its predator, and its prey, the similarity index is assessed as too low. If too low, the affected creature will easily flee and is thus classified as an avoidant creature. This is because creatures experience fear of the unknown; therefore, when the similarity index of the flapping-wing aircraft is too low, the affected creature may perceive it as an unknown creature, experience fear, and avoid it.

[0126] The steps for acquiring biological data affecting organisms, comparing the biological data with design data to determine the similarity between the flapping-wing aircraft and the influencing organisms, and recording this as the influence similarity score are as follows:

[0127] Step S3411: Obtain biological data that affects the organism, including the organism's appearance, sounds, and flight posture.

[0128] If an organism cannot fly, then its movement posture is taken as its flight posture.

[0129] Step S3412: Extract the shape of the flapping-wing aircraft based on the appearance information, compare the similarity between the biological shape and the aircraft shape, and record it as the shape similarity.

[0130] Step S3413: Extract wing vibration noise and wing vibration posture based on wing operation information.

[0131] Step S3414: Compare the similarity between the wing vibration noise and the biological sound and record it as sound similarity.

[0132] Step S3415: Compare the similarity between the wing vibration posture and the biological flight posture and record it as the posture similarity.

[0133] Step S3416: Set the proportional coefficients for appearance similarity, voice similarity, and posture similarity respectively, and calculate the influence similarity based on the proportional coefficients.

[0134] In practical applications, the similarity assessment between flapping-wing aircraft and the influencing organisms is obtained through analysis of appearance, sound, and flight attitude. Flight attitude includes parameters such as wing vibration frequency and angle. Since most influencing organisms identify external creatures or objects through sight and hearing, confirming similarity from these three aspects is more comprehensive and accurate. Furthermore, the similarity assessment method between flapping-wing aircraft and the influencing organisms' predators and prey employs the same approach, determining similarity based on appearance, sound, and flight attitude.

[0135] The steps for analyzing the adaptive design of flapping-wing aircraft based on classification results and biological distribution information to obtain adaptive results are as follows:

[0136] Step S351: Obtain the attack strength of the attacking creature based on its biological habits, and estimate the damage level of the flapping-wing aircraft based on the attack strength.

[0137] The attack strength of a creature can be obtained from historical data on creature attacks. Based on the attack strength of the creature, the average damage to the flapping-wing aircraft caused by an attack of that strength is simulated using simulation software as the damage level of the flapping-wing aircraft.

[0138] Step S352: Based on the biological distribution information, find and count the number of attacking creatures, and combine the damage level to obtain the attack level of the attacking creatures.

[0139] Set the ratio coefficients for the number of attacking creatures and the degree of damage, and calculate the attack level of the attacking creatures based on the ratio coefficients.

[0140] Step S353: Sum the attack levels of all attacking creatures to obtain the attack impact level.

[0141] The attack impact level is obtained by summing the attack levels of all attacking creatures.

[0142] Step S354: Extract the hiding range and hiding time of the hiding creature based on its biological habits, and obtain the hiding strength based on the hiding range and hiding time.

[0143] Based on the historical avoidance data of the creatures, the average avoidance range and avoidance time are extracted.

[0144] Step S355: Based on the biological distribution information, find and count the number of hiding creatures, and combine the hiding strength to obtain the hiding degree of the hiding creatures.

[0145] Set the ratio coefficients for the number of creatures to be avoided and the degree of avoidance, and calculate the degree of avoidance of the creatures based on the ratio coefficients.

[0146] Step S356: Sum the avoidance levels of all dodging creatures to obtain the degree of influence of avoidance, and combine it with the degree of influence of attack to obtain the fitness value.

[0147] The degree of evasion of all evading creatures is superimposed to obtain the degree of evasion impact. The ratio coefficients of the degree of evasion impact and the degree of attack impact are set separately, and the fitness value is calculated based on the ratio coefficients.

[0148] In practical applications, ornithopter aircraft sometimes provoke attacks from organisms, leading to damage during operation. They may also cause organisms to flee, disrupting their normal lives and impacting the ecosystem. Therefore, conducting biocompatibility design analysis on ornithopter aircraft can improve these aspects of performance, reduce damage during operation, and minimize environmental impact. This will improve the operational performance of ornithopter aircraft, reduce interference with applications, and further optimize performance.

[0149] Based on the adaptation results, determine whether to optimize the flapping-wing aircraft. If optimization is needed, the steps for generating a biological optimization scheme for the flapping-wing aircraft are as follows:

[0150] Step S41: Determine whether the adaptability value meets the preset adaptability value standard. If it meets the preset adaptability value standard, then the flapping-wing aircraft will not be optimized.

[0151] Step S42: If the preset adaptability value standard is not met, then optimize the flapping-wing aircraft.

[0152] Step S43: Extract design parameters from design data, set the design parameter range, and adjust the design parameters within the design parameter range.

[0153] Step S44: Record the adjusted design parameters as adjustment parameters, and form a biological optimization scheme based on the adjustment parameters.

[0154] In practical applications, a low adaptability value indicates that the flapping-wing aircraft is ill-suited to the biological environment it operates in. In such cases, adjustments can be made to the aircraft based on the specific circumstances. For example, if a low adaptability value suggests a high level of attack influence, particularly if the sound is significantly different from the sounds of the organisms in the working environment, then the wing sound parameters need adjustment. Based on these parameters, an optimized design can be developed, allowing for adjustments to the flapping-wing aircraft to improve its performance and reduce damage from biological attacks. After updating the flapping-wing aircraft's design, another biological adaptability analysis can be performed. Through multiple adjustments, the optimal design for adapting to the biological environment can be obtained, improving the overall performance of the flapping-wing aircraft.

[0155] An adaptive design analysis system for flapping-wing aircraft, which applies the adaptive design analysis method for flapping-wing aircraft described above, includes:

[0156] The environmental information module acquires the flight mission of the flapping-wing aircraft and extracts the flight environment information based on the flight mission.

[0157] The biological distribution module extracts biological distribution information based on flight environment information and records it as biological distribution information.

[0158] The adaptation analysis module performs biological adaptability design analysis on flapping-wing aircraft based on biological distribution information, and obtains adaptation results.

[0159] The optimization module determines whether to optimize flapping-wing aircraft based on the adaptability results. If optimization is required, a biological optimization scheme for flapping-wing aircraft is generated.

[0160] The optimization and adjustment module performs environmental adaptability analysis on the flapping-wing aircraft, obtains environmental optimization schemes, and combines biological optimization schemes to adjust the flapping-wing aircraft and update the design scheme of the flapping-wing aircraft.

[0161] The implementation principle of this system is as follows: First, the environmental information module acquires the flight mission of the flapping-wing aircraft and extracts flight environment information based on the flight location and flight time. The biological distribution module extracts and records the biological distribution information based on the flight environment information. The adaptation analysis module performs biological adaptability design analysis on the flapping-wing aircraft based on the biological distribution information, obtaining adaptation results. After classifying the organisms, the attack impact of biological attacks on the flapping-wing aircraft and the evasion impact caused by the flapping-wing aircraft are analyzed. The judgment and optimization module determines whether to optimize the flapping-wing aircraft based on the adaptation results. If optimization is needed, a biological optimization scheme for the flapping-wing aircraft is generated. The optimization and adjustment module performs environmental adaptability analysis on the flapping-wing aircraft, obtains an environmental optimization scheme, and adjusts the flapping-wing aircraft based on the biological optimization scheme, updating the design scheme of the flapping-wing aircraft.

[0162] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. An adaptive design analysis method for flapping-wing aircraft, characterized in that, Includes the following steps: Obtain the flight mission of the flapping-wing aircraft and extract the flight environment information based on the flight mission; The distribution of organisms is extracted from the flight environment information and recorded as biological distribution information; Based on biological distribution information, a biological adaptability design analysis was conducted on the flapping-wing aircraft to obtain the adaptation results; Based on the adaptation results, determine whether to optimize the flapping-wing aircraft. If the flapping-wing aircraft is optimized, then match and generate a biological optimization scheme for the flapping-wing aircraft. An environmental adaptability analysis was conducted on the flapping-wing aircraft to obtain an environmental optimization scheme. The flapping-wing aircraft was then adjusted and its design scheme was updated by combining the biological optimization scheme.

2. The adaptive design analysis method for a flapping-wing aircraft according to claim 1, characterized in that, The steps for obtaining flight mission information of the flapping-wing aircraft and extracting flight environment information based on the flight mission are as follows: Obtain the flight mission of the flapping-wing aircraft, and extract the flight location information and flight time information based on the flight mission; Extract location features from flight location information and obtain the frequency of location features; Location features that meet a preset frequency standard are selected as standard features. All standard features are then merged to form flight locations, thus obtaining standard locations. Based on flight time information, the flight frequency of different dates is statistically analyzed, and dates whose flight frequency reaches a preset flight frequency threshold are selected to form a standard date range; Based on flight time information, the flight frequency at different time points is statistically analyzed, and the time points where the flight frequency reaches the preset flight frequency threshold are selected to form a standard time point range. Historical environmental data is acquired, and the corresponding environmental information is retrieved from the historical environmental data based on the standard location, standard date range, and standard time point range, and recorded as flight environmental information.

3. The adaptive design analysis method for a flapping-wing aircraft according to claim 2, characterized in that, The step of extracting biological distribution information based on flight environment information and recording it as biological distribution information is as follows: Acquire historical biological data, and use the historical biological data to find and record the organisms living in the standard locations as location organisms; Obtain the biological habits of organisms at the location, and extract the activity dates and times of the organisms based on their biological habits; Select location organisms from the location organisms whose activity dates are within the standard date range and whose activity times are within the standard time range, and record them as time organisms; The living environment of organisms is extracted based on their habits. Then, organisms whose living environment is in the flight environment information are selected from the time organisms and used as environmental organisms. The number of environmental organisms is counted, and biological distribution information is formed based on the number of environmental organisms.

4. The adaptive design analysis method for a flapping-wing aircraft according to claim 3, characterized in that, The steps for conducting bio-adaptive design analysis on flapping-wing aircraft based on biological distribution information to obtain adaptive results are as follows: Acquire design data for a flapping-wing aircraft, including flight altitude range, wing operation information, and appearance information; Organisms whose biological activity altitude falls within the flight altitude range are selected from environmental organisms and recorded as flying organisms; Determine whether flying creatures are affected by flapping-wing aircraft, delete flying creatures that are not affected by flapping-wing aircraft, and obtain the affected creatures; Based on biological habits and design data, the organisms that are affected are classified to obtain classification results; Based on the classification results and biological distribution information, an adaptive design analysis of flapping-wing aircraft was conducted, yielding adaptive results.

5. The adaptive design analysis method for a flapping-wing aircraft according to claim 4, characterized in that, The steps for classifying organisms based on their habits and design data to obtain classification results are as follows: Obtain biological data that affects organisms, and compare the biological data with the design data to obtain the similarity between the flapping-wing aircraft and the affected organisms, which is recorded as the impact similarity. Determine whether the similarity of the impact reaches the preset similarity standard. If the similarity of the impact reaches the preset similarity standard, then determine whether the impacting organism attacks its own kind based on the biological habits of the impacting organism. If an influencing organism attacks its own kind, it will be classified as an aggressive organism; if an influencing organism does not attack its own kind, it will be classified as a non-reactive organism. If the similarity of the affected organism does not reach the preset similarity standard, then the associated organisms of the affected organism are obtained, and the affected organism is classified according to the associated organisms.

6. The adaptive design analysis method for a flapping-wing aircraft according to claim 5, characterized in that, If the similarity of the influencing organism does not reach the preset similarity standard, then the steps of obtaining the associated organisms of the influencing organism and classifying the influencing organisms according to the associated organisms are as follows: If the similarity does not reach the preset similarity standard, then the natural enemies of the organisms that affect it are obtained, and the similarity between the flapping-wing aircraft and the natural enemies is compared and recorded as the natural enemy similarity. Determine whether the similarity of the natural enemy reaches the preset similarity standard. If the similarity of the natural enemy reaches the preset similarity standard, the affected organism will be recorded as an avoidant organism. If the similarity of the natural enemy does not reach the preset similarity standard, then the prey that affects the organism is obtained, and the similarity between the flapping-wing aircraft and the prey is compared and recorded as the prey similarity. Determine whether the similarity of the prey meets the preset similarity standard. If the similarity of the prey meets the preset similarity standard, the affected creature will be recorded as an attacking creature. If the similarity of the prey does not reach the preset similarity standard, then it is determined whether the impact similarity is less than the preset minimum similarity value. If the impact similarity is less than the preset minimum similarity value, the affected organism will be recorded as an evasive organism; otherwise, it will be recorded as an unresponsive organism.

7. The adaptive design analysis method for a flapping-wing aircraft according to claim 6, characterized in that, The step of acquiring biological data affecting organisms, comparing the biological data and design data to obtain the similarity between the flapping-wing aircraft and the affecting organisms, and recording this as the influence similarity, specifically includes: Acquire biological data that affects organisms, including biological morphology, biological sounds, and biological flight postures; Extract the shape of the flapping-wing aircraft based on the appearance information, compare the similarity between the biological shape and the aircraft shape, and record it as the shape similarity. The wing vibration noise and wing vibration posture are extracted based on the wing movement information. The similarity between wing vibration noise and biological sound is compared and recorded as sound similarity. The similarity between the wing vibration posture and the biological flight posture is obtained and recorded as the posture similarity. The similarity coefficients for appearance, voice, and posture are set separately, and the influence similarity is calculated based on the coefficients.

8. The adaptive design analysis method for a flapping-wing aircraft according to claim 7, characterized in that, The steps for analyzing the adaptive design of flapping-wing aircraft based on classification results and biological distribution information to obtain adaptive results are as follows: The attack strength of the attacking creature is obtained based on its biological habits, and the damage to the flapping-wing aircraft is estimated based on the attack strength. The number of attacking creatures is counted based on the distribution information of the creatures, and the degree of attack is determined by combining the damage level with the number of attacking creatures. Sum the attack levels of all attacking creatures to obtain the attack impact level; Extract the hiding range and hiding time of the hiding creature based on its biological habits, and obtain the hiding strength based on the hiding range and hiding time. The number of creatures that are hiding is counted based on the distribution information of the organisms, and the degree of hiding is obtained by combining the hiding intensity. The degree of avoidance of all dodging creatures is summed to obtain the degree of influence of avoidance, which is then combined with the degree of influence of attack to obtain the fitness value.

9. The adaptive design analysis method for a flapping-wing aircraft according to claim 8, characterized in that, The step of determining whether to optimize the flapping-wing aircraft based on the adaptation results, and if optimization is needed, then matching and generating a biological optimization scheme for the flapping-wing aircraft, specifically includes: Determine whether the adaptability value meets the preset adaptability value standard. If it meets the preset adaptability value standard, then do not optimize the flapping-wing aircraft. If the preset adaptability standard is not met, then optimize the flapping-wing aircraft; The design parameters are extracted from the design data, the design parameter range is set, and the design parameters are adjusted within the design parameter range. The adjusted design parameters are recorded as adjustment parameters, and a biological optimization scheme is formed based on the adjustment parameters.

10. An adaptive design analysis system for flapping-wing aircraft, characterized in that, By applying the adaptive design analysis method for a flapping-wing aircraft as described in any one of claims 1-9, including: The environmental information module acquires the flight mission of the flapping-wing aircraft and extracts flight environment information based on the flight mission. The biological distribution module extracts and records biological distribution information based on flight environment information. The adaptation analysis module performs biological adaptability design analysis on flapping-wing aircraft based on biological distribution information to obtain adaptation results; The optimization module determines whether to optimize the flapping-wing aircraft based on the adaptability results. If the flapping-wing aircraft is optimized, a biological optimization scheme for the flapping-wing aircraft is generated. The optimization and adjustment module performs environmental adaptability analysis on the flapping-wing aircraft, obtains environmental optimization schemes, and combines biological optimization schemes to adjust the flapping-wing aircraft and update the design scheme of the flapping-wing aircraft.

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