Aircraft structure use severity classification method and system
By analyzing the aircraft's flight take-off and landing data, establishing an equivalent damage calculation model, correcting the conversion formula, and determining the severity of aircraft use, it solves the problem of increased severity of active military aircraft use, and improves the accuracy and safety of structural health monitoring.
Patent Information
- Application Number
- CN202411915371.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-03-25
AI Technical Summary
The severity of active-duty military aircraft is increased under the new training outline, resulting in accelerated structural fatigue and low safety. The existing life-determination method cannot effectively respond to changes in actual use tasks.
By obtaining aircraft flight takeoff and landing data, establishing an equivalent damage calculation model, analyzing the task profile data, correcting the equivalent damage conversion formula, determining the severity of aircraft use, and using neural network algorithms and interval classification methods for analysis.
It realizes rapid qualitative and semi-quantitative classification of the severity of aircraft structure use, improves the ability to evaluate and manage the health status of aircraft structures, and reduces the risk of aircraft use.
Smart Images
Figure CN119692059A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the field of aircraft structure health monitoring, and in particular, relates to an aircraft structure usage severity classification method and system. Background Art
[0002] Structural fatigue single-machine tracking analysis The purposes of conducting structural single-machine tracking are: first, to evaluate the implementation of the fleet training outline through the use of monitoring and tracking, so as to evaluate whether there are any changes in the conditions (task composition) of the design service life; second, based on the above changes, to conduct differentiated life analysis and evaluation of the fleet aircraft, optimize the fleet aircraft training task allocation, and revise the structural integrity control plan of the in-service fleet.
[0003] Aircraft life determination is generally achieved through life analysis, evaluation and verification under the load spectrum compiled according to the design mission profile (i.e. expected use conditions). There is a difference between the design load spectrum of the aircraft in the development stage and the actual use load spectrum. And although the load spectrum in the design stage can reflect the typical use of the fleet, the life determination conclusion cannot be directly used for life management due to the difference between the actual use of a single aircraft and the expected use conditions. In addition, the new training syllabus has been widely adopted for training in my country's current military aircraft (the new syllabus focuses on actual combat, the training is difficult and intensive, and a large number of high-overload and high-maneuver actions appear in the training subjects, resulting in accelerated damage to the aircraft and life consumption). The use of various models is obviously heavier than expected, which increases the risk of aircraft use.
[0004] Therefore, ensuring the safety of active military aircraft under changes in actual usage missions has become a practical problem that needs to be urgently addressed. Summary of the invention
[0005] The purpose of this application is to provide a method and system for classifying the severity of aircraft structure use, so as to solve the problem of low safety of military aircraft in service under the changes of existing actual use missions.
[0006] The technical solution of the present application is: a method for classifying the severity of aircraft structure use, comprising: obtaining mission profile data of a current type of aircraft under a current aircraft benchmark use condition according to a certain amount of current aircraft flight take-off and landing data, classifying and analyzing the mission profile data, establishing an equivalent damage calculation model, and preliminarily determining an equivalent damage calculation formula and a damage index in the equivalent damage calculation model;
[0007] Obtain the reference spectrum of the current type of aircraft, select the corresponding equivalent damage conversion formula to calculate the equivalent damage of the reference spectrum, modify the equivalent damage conversion formula according to the equivalent damage calculation result, obtain the final equivalent damage calculation formula and damage index, and further determine the reference equivalent damage corresponding to the reference spectrum under the current aircraft reference usage condition;
[0008] The benchmark equivalent damage corresponding to the benchmark spectrum is obtained to classify the benchmark damage interval, and different flight parameter classification indicators are compared. The classified damage interval is matched with different flight parameter classification indicators to obtain the aircraft usage severity.
[0009] Preferably, a neural network algorithm is used to analyze the mission profile data with single-machine tracking data as input and equivalent damage data as output.
[0010] Preferably, the mission profile data is classified, including: mission profile type; usage percentage of each mission profile; flight time of each mission profile; mission segments of each mission profile and their sequence; payload layout of various mission profiles; landing times and landing types of various mission profiles.
[0011] Preferably, the equivalent damage conversion formula is modified specifically as follows: a parameter step is set, and a difference comparison is performed between the equivalent damage calculation result and the equivalent damage data in the equivalent damage calculation model; when the equivalent damage calculation result is large, the value of the corresponding parameter in the equivalent damage calculation formula is reduced by the parameter step; when the equivalent damage calculation result is small, the value of the corresponding parameter in the equivalent damage calculation formula is increased by the parameter step.
[0012] Preferably, the aircraft usage severity is divided into three types: light, normal and heavy, and the number of take-offs and landings represented by the three types of usage each accounts for 1 / 3.
[0013] Preferably, the flight parameter classification indicators include the maximum center of gravity overload, the mean center of gravity normal overload and the median center of gravity normal overload.
[0014] As a specific implementation method, an aircraft structure use severity classification system includes a model building module, a benchmark equivalent damage calculation module and a damage interval classification module; the model building module can obtain the mission profile data of the current type of aircraft under the current aircraft benchmark use condition based on a certain amount of current aircraft flight take-off and landing data, classify and analyze the mission profile data, establish an equivalent damage calculation model, and preliminarily determine the equivalent damage calculation formula and damage index in the equivalent damage calculation model; the benchmark equivalent damage calculation module can obtain the benchmark spectrum of the current type of aircraft, select the corresponding equivalent damage conversion formula to calculate the equivalent damage of the benchmark spectrum, correct the equivalent damage conversion formula according to the equivalent damage calculation result, obtain the final equivalent damage calculation formula and damage index, and further determine the benchmark equivalent damage corresponding to the benchmark spectrum under the current aircraft benchmark use condition; the damage interval classification module can obtain the benchmark equivalent damage corresponding to the benchmark spectrum to classify the benchmark damage interval, and compare different flight parameter classification indicators, correspond the classified damage interval to different flight parameter classification indicators, and obtain the aircraft use severity.
[0015] Preferably, a neural network algorithm is used to analyze the mission profile data with single-machine tracking data as input and equivalent damage data as output.
[0016] Preferably, the mission profile data is classified, including: mission profile type; usage percentage of each mission profile; flight time of each mission profile; mission segments of each mission profile and their sequence; payload layout of various mission profiles; landing times and landing types of various mission profiles.
[0017] Preferably, the equivalent damage conversion formula is modified specifically as follows: a parameter step is set, and a difference comparison is performed between the equivalent damage calculation result and the equivalent damage data in the equivalent damage calculation model; when the equivalent damage calculation result is large, the value of the corresponding parameter in the equivalent damage calculation formula is reduced by the parameter step; when the equivalent damage calculation result is small, the value of the corresponding parameter in the equivalent damage calculation formula is increased by the parameter step.
[0018] Preferably, the aircraft usage severity is divided into three types: light, normal and heavy, and the number of take-offs and landings represented by the three types of usage each accounts for 1 / 3.
[0019] Preferably, the flight parameter classification indicators include the maximum center of gravity overload, the mean center of gravity normal overload and the median center of gravity normal overload.
[0020] The present application discloses a method and system for classifying the severity of aircraft structure usage. After acquiring a large amount of flight takeoff and landing data, the present application analyzes the relative damage relationship of each takeoff and landing based on the equivalent damage theory, and uses quantitative damage analysis as a benchmark to develop a method that combines qualitative and semi-quantitative methods for evaluating the severity of flight takeoff and landing usage. The interval classification method is used to classify the severity of usage, and a qualitative classification is quickly made as to whether the damage caused by the takeoff and landing is relatively light or heavy. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] In order to more clearly illustrate the technical solution provided by the present application, the following is a brief introduction to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present application.
[0022] Figure 1 This is a schematic diagram of the overall process of this application. DETAILED DESCRIPTION
[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0024] A classification method for aircraft structure usage severity, using the design mission profile for classification. The mission profile is a task sequence table composed of some mission segments and performance parameters, which constitutes a complete flight. The type of mission profile is closely related to the type of aircraft. The design mission profile of the aircraft gives the expected aircraft usage. However, in actual use, the load history experienced by each single aircraft in the fleet, that is, the usage, is significantly different from the usage represented by the design mission profile. The actual use damage of some models has even exceeded the expected usage represented by the design mission profile used for life determination.
[0025] like Figure 1 , specifically including the following steps:
[0026] Step S100, based on a certain amount of current aircraft flight takeoff and landing data, obtain mission profile data of the current type of aircraft under the current aircraft benchmark usage, classify and analyze the mission profile data, establish an equivalent damage calculation model, and preliminarily determine the equivalent damage calculation formula and damage index in the equivalent damage calculation model. There are multiple equivalent damage calculation formulas.
[0027] Preferably, a neural network algorithm is used to analyze the mission profile data with single-machine tracking data as input and equivalent damage data as output.
[0028] Preferably, the mission profile data is classified, including: mission profile type; usage percentage of each mission profile; flight time of each mission profile; mission segments of each mission profile and their sequence; payload layout of various mission profiles; landing times and landing types of various mission profiles.
[0029] Step S200, obtain the reference spectrum of the current type of aircraft, select the corresponding equivalent damage conversion formula to calculate the equivalent damage of the reference spectrum, modify the equivalent damage conversion formula according to the equivalent damage calculation result, obtain the final equivalent damage calculation formula and damage index, and further determine the reference equivalent damage corresponding to the reference spectrum under the current aircraft reference usage condition.
[0030] Preferably, the equivalent damage conversion formula is modified specifically as follows: a parameter step is set, and a difference comparison is performed between the equivalent damage calculation result and the equivalent damage data in the equivalent damage calculation model; when the equivalent damage calculation result is large, the value of the corresponding parameter in the equivalent damage calculation formula is reduced by the parameter step; when the equivalent damage calculation result is small, the value of the corresponding parameter in the equivalent damage calculation formula is increased by the parameter step.
[0031] By using quantitative damage analysis as a benchmark and classifying and judging based on flight parameters, it is possible to quickly qualitatively classify whether the damage caused by the takeoff and landing is relatively light or heavy.
[0032] Step S300, obtaining the reference equivalent damage corresponding to the reference spectrum to classify the reference damage interval, and comparing different flight parameter classification indicators, matching the classified damage interval with different flight parameter classification indicators to obtain the aircraft use severity.
[0033] Preferably, the aircraft usage severity is divided into three types: light, normal and heavy, and the number of take-offs and landings represented by the three types of usage each accounts for 1 / 3.
[0034] Preferably, the flight parameter classification indicators include the maximum center of gravity overload, the mean center of gravity normal overload and the median center of gravity normal overload.
[0035] As a specific implementation, the above method also includes an aircraft structure usage severity classification system, which specifically includes a model building module, a reference equivalent damage calculation module and a damage interval classification module.
[0036] The model building module can obtain the mission profile data of the current type of aircraft under the current aircraft benchmark usage based on a certain amount of current aircraft flight take-off and landing data, classify and analyze the mission profile data, establish an equivalent damage calculation model, and preliminarily determine the equivalent damage calculation formula and damage index in the equivalent damage calculation model;
[0037] The reference equivalent damage calculation module can obtain the reference spectrum of the current type of aircraft, select the corresponding equivalent damage conversion formula to calculate the equivalent damage of the reference spectrum, modify the equivalent damage conversion formula according to the equivalent damage calculation result, obtain the final equivalent damage calculation formula and damage index, and further determine the reference equivalent damage corresponding to the reference spectrum under the current aircraft reference usage condition;
[0038] The damage interval classification module can obtain the benchmark equivalent damage corresponding to the benchmark spectrum to classify the benchmark damage interval, and compare different flight parameter classification indicators, correspond the classified damage interval with different flight parameter classification indicators to obtain the aircraft usage severity.
[0039] Preferably, a neural network algorithm is used to analyze the mission profile data with single-machine tracking data as input and equivalent damage data as output.
[0040] Preferably, the mission profile data is classified, including: mission profile type; usage percentage of each mission profile; flight time of each mission profile; mission segments of each mission profile and their sequence; payload layout of various mission profiles; landing times and landing types of various mission profiles.
[0041] Preferably, the equivalent damage conversion formula is modified specifically as follows: a parameter step is set, and a difference comparison is performed between the equivalent damage calculation result and the equivalent damage data in the equivalent damage calculation model; when the equivalent damage calculation result is large, the value of the corresponding parameter in the equivalent damage calculation formula is reduced by the parameter step; when the equivalent damage calculation result is small, the value of the corresponding parameter in the equivalent damage calculation formula is increased by the parameter step.
[0042] Preferably, the aircraft usage severity is divided into three types: light, normal and heavy, and the number of take-offs and landings represented by the three types of usage each accounts for 1 / 3.
[0043] Preferably, the flight parameter classification indicators include the maximum center of gravity overload, the mean center of gravity normal overload and the median center of gravity normal overload.
[0044] In summary, after acquiring a large amount of flight takeoff and landing data, the present application analyzes the relative damage relationship of each takeoff and landing based on the equivalent damage theory, and uses quantitative damage analysis as a benchmark to develop a method that combines qualitative and semi-quantitative methods for evaluating the severity of flight takeoff and landing use. The interval classification method is used to classify the severity of use, and quickly qualitatively classify whether the damage caused by the takeoff and landing is relatively light or heavy.
[0045] Finally, it should be noted that: the drawings of the embodiments disclosed in the present invention only involve structures related to the embodiments disclosed in the present invention, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;
[0046] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for classifying the severity of aircraft structure use, characterized in that: include: Obtain mission profile data of the current type of aircraft under the current aircraft benchmark usage based on a certain amount of current aircraft flight takeoff and landing data, classify and analyze the mission profile data, establish an equivalent damage calculation model, and preliminarily determine the equivalent damage calculation formula and damage index in the equivalent damage calculation model; Obtain the reference spectrum of the current type of aircraft, select the corresponding equivalent damage conversion formula to calculate the equivalent damage of the reference spectrum, modify the equivalent damage conversion formula according to the equivalent damage calculation result, obtain the final equivalent damage calculation formula and damage index, and further determine the reference equivalent damage corresponding to the reference spectrum under the current aircraft reference usage condition; The benchmark equivalent damage corresponding to the benchmark spectrum is obtained to classify the benchmark damage interval, and different flight parameter classification indicators are compared. The classified damage interval is matched with different flight parameter classification indicators to obtain the aircraft usage severity.
2. The aircraft structure service severity classification method according to claim 1, characterized in that: A neural network algorithm is used to analyze the mission profile data, with single-machine tracking data as input and equivalent damage data as output.
3. The aircraft structure service severity classification method according to claim 1, characterized in that: The mission profile data is classified, including: the type of mission profile; the percentage of each mission profile used; the flight time of each mission profile; the mission segments of each mission profile and their sequence; the payload layout of various mission profiles; the number of landings and landing types of various mission profiles.
4. The aircraft structure service severity classification method according to claim 1, characterized in that: The specific modification of the equivalent damage conversion formula is as follows: setting the parameter step amount, performing difference comparison between the equivalent damage calculation result and the equivalent damage data in the equivalent damage calculation model, and when the equivalent damage calculation result is large, reducing the value of the corresponding parameter in the equivalent damage calculation formula by the parameter step amount; when the equivalent damage calculation result is small, increasing the value of the corresponding parameter in the equivalent damage calculation formula by the parameter step amount.
5. The aircraft structure service severity classification method according to claim 1, characterized in that: Aircraft usage severity is divided into three categories: light, normal and heavy, and the three types of usage represent 1 / 3 of the take-off and landing numbers.
6. The aircraft structure service severity classification method according to claim 1, characterized in that: The flight parameter classification indicators include the maximum center of gravity overload, the mean center of gravity normal overload and the median center of gravity normal overload.
7. An aircraft structure service severity classification system, using the method according to any one of claims 1 to 6, characterized in that: It includes model building module, benchmark equivalent damage calculation module and damage interval classification module; The model building module can obtain the mission profile data of the current type of aircraft under the current aircraft benchmark usage based on a certain amount of current aircraft flight take-off and landing data, classify and analyze the mission profile data, establish an equivalent damage calculation model, and preliminarily determine the equivalent damage calculation formula and damage index in the equivalent damage calculation model; the benchmark equivalent damage calculation module can obtain the benchmark spectrum of the current type of aircraft, select the corresponding equivalent damage conversion formula to calculate the equivalent damage of the benchmark spectrum, and modify the equivalent damage conversion formula according to the equivalent damage calculation result to obtain the final equivalent damage calculation formula and damage index, and further determine the benchmark equivalent damage corresponding to the benchmark spectrum under the current aircraft benchmark usage; The damage interval classification module can obtain the benchmark equivalent damage corresponding to the benchmark spectrum to classify the benchmark damage interval, and compare different flight parameter classification indicators, correspond the classified damage interval with different flight parameter classification indicators to obtain the aircraft usage severity.
8. The aircraft structure service severity classification method according to claim 7, characterized in that: A neural network algorithm is used to analyze the mission profile data, with single-machine tracking data as input and equivalent damage data as output.
9. The aircraft structure service severity classification method according to claim 7, characterized in that: The mission profile data is classified, including: the type of mission profile; the percentage of each mission profile used; the flight time of each mission profile; the mission segments of each mission profile and their sequence; the payload layout of various mission profiles; the number of landings and landing types of various mission profiles.
10. The aircraft structure service severity classification method according to claim 7, characterized in that: The specific modification of the equivalent damage conversion formula is as follows: setting the parameter step amount, performing difference comparison between the equivalent damage calculation result and the equivalent damage data in the equivalent damage calculation model, and when the equivalent damage calculation result is large, reducing the value of the corresponding parameter in the equivalent damage calculation formula by the parameter step amount; when the equivalent damage calculation result is small, increasing the value of the corresponding parameter in the equivalent damage calculation formula by the parameter step amount.
11. The aircraft structure service severity classification method according to claim 7, characterized in that: Aircraft usage severity is divided into three categories: light, normal and heavy, and the three types of usage represent 1 / 3 of the take-off and landing numbers.
12. The aircraft structure service severity classification method according to claim 7, characterized in that: The flight parameter classification indicators include the maximum center of gravity overload, the mean center of gravity normal overload and the median center of gravity normal overload.