CN116663327A - Vehicle life prediction method, apparatus, device, storage medium, and program product - Google Patents

Abstract

The present application relates to a vehicle lifetime prediction method, apparatus, device, storage medium, and program product. According to the method, impact data of the air-drop vehicle in the landing process is obtained, then the health degree of the air-drop vehicle is determined according to the impact data, vibration data of the air-drop vehicle in the sports stage is obtained under the condition that the health degree meets preset conditions, and finally life prediction is carried out according to the vibration data, so that the residual life of the air-drop vehicle is determined. According to the method, the service life of the air-drop vehicle is predicted according to the impact data and the vibration data, the prediction accuracy of the service life of the air-drop vehicle can be improved by analyzing and synthesizing different data in different stages, the hidden danger air-drop vehicle can be timely identified and processed by the accurate service life prediction of the air-drop vehicle, and more effective basis is provided for maintenance of the vehicle, so that the service life of the vehicle is prolonged.

Description

Vehicle life prediction method, device, equipment, storage medium and program product

technical field

The present application relates to the technical field of airborne vehicles, in particular to a vehicle life prediction method, device, equipment, storage medium and program product.

Background technique

The airborne vehicle is airborne by the transport plane to achieve the purpose of rapid assembly. The use process of the airborne vehicle mainly includes the airborne stage and the sports car stage. During the airborne stage, due to the uncertainty of the airborne weather conditions and the airborne area and location, the impact force and the impact location of the airborne vehicle are different every time it lands, so the damage caused is different, and the impact of the damage on the life of the airborne vehicle is also different. .

At present, how to predict the life of the airborne vehicle, so as to ensure that the airborne vehicle can complete the airborne mission, has become an urgent technical problem to be solved.

Contents of the invention

Based on this, it is necessary to provide a vehicle life prediction method, device, equipment, storage medium and program product capable of predicting the life of an airborne vehicle in order to address the above technical problems.

In a first aspect, the present application provides a vehicle life prediction method. The method includes:

Obtain the impact data of the airdrop vehicle during the landing process;

Determining the health of airdropped vehicles based on shock data;

Obtain the vibration data of the airdropped vehicle in the sports car stage when the health level meets the preset conditions;

Lifetime prediction based on vibration data to determine the remaining life of the airdropped vehicle.

In one of the embodiments, the health of the airdropped vehicle is determined according to the shock data, including:

Determine the total damage value accumulated during the airborne phase of the airdrop vehicle based on the impact data;

Determines the health of the airdrop vehicle based on the total damage value.

In one of the embodiments, the total damage value accumulated during the airborne phase of the airdrop vehicle is determined according to the impact data, including:

Determine the impact damage value corresponding to this airdrop according to the impact data;

According to the impact damage value corresponding to this airdrop and the cumulative damage value in the historical stage, determine the cumulative total damage value of the airdrop vehicle during the airborne stage.

In one of the embodiments, the impact damage value corresponding to this airdrop is determined according to the impact data, including:

Determine whether the airdropped vehicle has undergone plastic deformation based on the impact data;

In the case of plastic deformation of the airdropped vehicle, the impact damage value corresponding to the airdrop is determined according to the preset damage model and impact data.

In one embodiment, the method also includes:

When it is determined that the airdropped vehicle has not undergone plastic deformation, the impact damage value corresponding to this airdrop is determined as the preset value.

In one of the embodiments, life prediction is performed based on vibration data to determine the remaining life of the airdropped vehicle, including:

Determine the total damage value accumulated in the sports car stage of the airdrop vehicle according to the vibration data;

According to the total damage value accumulated in the sports car stage of the airdrop vehicle, the life prediction is carried out to determine the remaining life of the airdrop vehicle.

In one of the embodiments, the total damage value accumulated in the sports car stage of the airdrop vehicle is determined according to the vibration data, including:

Determine the fatigue damage value of the airdropped vehicle based on the vibration data;

According to the fatigue damage value and the accumulated total damage value of the airdrop vehicle in the airborne stage, determine the accumulated total damage value of the airdrop vehicle in the sports car stage.

In one of the embodiments, the fatigue damage value of the airdropped vehicle is determined according to the vibration data, including:

In the case of determining that the airdrop vehicle is plastically deformed, the preset strain-life curve is updated;

The fatigue damage value of the airdropped vehicle is calculated according to the updated strain-life curve.

In one of the embodiments, the fatigue damage value of the airdropped vehicle is determined according to the vibration data, including:

When it is determined that the airdropped vehicle does not undergo plastic deformation, the fatigue damage value of the airdropped vehicle is determined according to the preset stress-life curve.

In one embodiment, the method also includes:

In the case that the health level does not meet the preset conditions, it is determined that the airdrop vehicle has no remaining life.

In one embodiment, the method also includes:

Before the airdrop, obtain the historical cumulative damage value of the airdropped vehicle;

The task information of the airdrop vehicle is determined according to the historical cumulative damage value, and the task information is used to indicate whether the airdrop vehicle is allowed to perform the airdrop task.

In a second aspect, the present application also provides a vehicle life prediction device. The unit includes:

The first acquisition module is used to acquire the impact data of the airdrop vehicle during the landing process;

The first determination module is used to determine the health degree of the airdrop vehicle according to the impact data;

The second acquisition module is used to acquire the vibration data of the airdropped vehicle in the sports car stage when the health level meets the preset conditions;

The second determination module is used for performing life prediction according to the vibration data, and determining the remaining life of the airdrop vehicle.

In a third aspect, the present application also provides an electronic device. The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

Obtain the impact data of the airdrop vehicle during the landing process;

Determining the health of airdropped vehicles based on shock data;

Obtain the vibration data of the airdropped vehicle in the sports car stage when the health level meets the preset conditions;

Lifetime prediction based on vibration data to determine the remaining life of the airdropped vehicle.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer-readable storage medium has a computer program stored thereon, and when the computer program is executed by the processor, the following steps are implemented:

Obtain the impact data of the airdrop vehicle during the landing process;

Determining the health of airdropped vehicles based on impact data;

Obtain the vibration data of the airdropped vehicle in the sports car stage when the health level meets the preset conditions;

Lifetime prediction based on vibration data to determine the remaining life of the airdropped vehicle.

In a fifth aspect, the present application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the following steps:

Obtain the impact data of the airdrop vehicle during the landing process;

Determining the health of airdropped vehicles based on impact data;

Obtain the vibration data of the airdropped vehicle in the sports car stage when the health level meets the preset conditions;

Lifetime prediction based on vibration data to determine the remaining life of the airdropped vehicle.

The above-mentioned vehicle life prediction method, device, equipment, storage medium and program product, the method obtains the impact data of the airdropped vehicle during the landing process, and then determines the health degree of the airdropped vehicle according to the impact data. Next, obtain the vibration data of the airdropped vehicle in the sports car stage, and finally perform life prediction based on the vibration data to determine the remaining life of the airdropped vehicle. This method predicts the life of the airdropped vehicle based on the shock data and vibration data. By analyzing and synthesizing different data at different stages, the prediction accuracy of the airdropped vehicle's life can be improved. By accurately predicting the life of the airdropped vehicle, it can be identified in time. Airdrop vehicles with hidden dangers and make corresponding treatment to provide more effective basis for vehicle maintenance, thereby prolonging the service life of vehicles.

Description of drawings

Fig. 1 is the application environment figure of vehicle life prediction method in an embodiment;

Fig. 2 is a schematic flow chart of a vehicle life prediction method in an embodiment;

Fig. 3 is a schematic flow chart of a vehicle life prediction method in another embodiment;

Fig. 4 is a schematic flow chart of a vehicle life prediction method in another embodiment;

Fig. 5 is a schematic flow chart of a vehicle life prediction method in another embodiment;

Fig. 6 is a schematic diagram of a model library based on offline simulation in another embodiment;

Fig. 7 is a schematic flow chart of a vehicle life prediction method in another embodiment;

Fig. 8 is a schematic flow chart of a vehicle life prediction method in another embodiment;

Fig. 9 is a schematic diagram of a finite element model in another embodiment;

Fig. 10 is a schematic flow chart of a vehicle life prediction method in another embodiment;

Fig. 11 is a schematic diagram of the strain-life curve in another embodiment;

Fig. 12 is a schematic diagram of the stress-life curve in another embodiment;

Fig. 13 is a schematic flow chart of a vehicle life prediction method in another embodiment;

Fig. 14 is a schematic flow chart of a vehicle life prediction method in another embodiment;

Fig. 15 is a structural block diagram of a vehicle life prediction device in an embodiment;

Fig. 16 is a diagram of the internal structure of an electronic device in one embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

The airborne vehicle is airborne by the transport plane to achieve the purpose of rapid assembly. The use process of the airborne vehicle mainly includes the airborne stage and the sports car stage. Because the airborne vehicle can be reused, the structural damage of the airborne vehicle has the characteristics of transmission and accumulation. During the airborne phase, due to the uncertainty of the airborne weather conditions and the airborne area and location, the impact force of the airborne vehicle is different every time it lands, and the impact location is different, so the damage caused is also different. Through multiple airborne tests, it was found that the airborne The car body structure is the weakest link for failure.

At present, how to predict the life of the airborne vehicle, so as to ensure that the airborne vehicle can complete the airborne mission, has become an urgent technical problem to be solved. The present application provides a vehicle life prediction method aimed at solving the above technical problems. The following embodiments will specifically illustrate the vehicle life prediction method described in the present application.

The vehicle life prediction method provided in the embodiment of the present application can be applied to the application environment shown in FIG. 1 . Wherein, a vehicle-mounted system 01 is installed on the vehicle, and the vehicle-mounted system 01 is used to collect operating data during the operation of the vehicle, and predict the life of the vehicle according to the collected operating data, and determine the remaining life of the vehicle. The vehicle mentioned above may specifically be an airborne vehicle or an airdropped vehicle; the vehicle-mounted system 01 may be, but not limited to, various notebook computers, smart phones, tablet computers, smart vehicle-mounted devices, and the like.

Those skilled in the art can understand that the structure shown in Figure 1 is only a block diagram of a partial structure related to the solution of this application, and does not constitute a limitation to the application environment to which the solution of this application is applied. The specific application environment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

In one embodiment, as shown in FIG. 2, a method for predicting the life of a vehicle is provided. The application of the method to the vehicle-mounted system 01 in FIG. 1 is used as an example for illustration, including the following steps:

S201. Acquire impact data of the airdrop vehicle during landing.

Among them, the impact data is used to represent the impact acceleration data collected when the airdrop vehicle collides with the ground during the airborne landing process and is subjected to force, and the impact data is the impact acceleration time domain signal.

In the embodiment of the present application, data acquisition devices such as vibration sensors or accelerometers can be pre-installed at the structural weak points of the airdrop vehicle. During the landing process of the airdrop vehicle, the on-board system can collect the impact data of the airdrop vehicle before and after the landing through the data acquisition device. For example, the on-board system collects impact data within 2 seconds before and after the airdrop vehicle lands.

S202. Determine the health of the airdropped vehicle according to the impact data.

Among them, the health degree of the airdropped vehicle indicates the operating state and performance status of the airdropped vehicle during use. A high health degree of the airdropped vehicle indicates that the airdropped vehicle is in good operating state and performance during the use process, and the airdropped vehicle can operate stably and safely. run. The low health level of the airdrop vehicle indicates that there may be some potential problems and risks during the use of the airdrop vehicle, such as possible structural damage or mechanical failure, which may affect the stable and safe operation of the airdrop vehicle.

In the embodiment of the present application, after the on-board system obtains the shock data before and after the airdrop vehicle lands based on the above steps, the shock data can be brought into the corresponding health degree interpolation function library for health degree calculation. Optionally, the impact data can also be input into the corresponding algorithm model for algorithm calculation to obtain the health degree of the airdropped vehicle.

S203. Acquire the vibration data of the airdropped vehicle in the sports car stage when the health degree meets the preset condition.

Among them, the vibration data is used to represent the vibration acceleration data collected when the airdrop vehicle is running in the sports car stage, and the vibration data is the vibration acceleration time domain signal.

In the embodiment of the present application, after the on-board system obtains the health level of the airdropped vehicle based on the above steps, it can determine whether the health level meets the preset conditions, for example, whether the health level is within a threshold. When the health level meets the preset conditions, the airborne vehicle performs the sports car mission, and the on-board system can collect the vibration data of the airdropped vehicle in the sports car stage through the vibration sensor.

S204, perform life prediction according to the vibration data, and determine the remaining life of the airdrop vehicle.

In the embodiment of the present application, after the vehicle-mounted system obtains the vibration data based on the above steps, the vibration data can be substituted into the corresponding remaining life function for life prediction. Optionally, the vibration data can also be input into a corresponding life prediction model for life prediction to obtain the remaining life of the airdropped vehicle. Optionally, the vibration data can be preprocessed to filter out interference signals, and then life prediction can be performed on the preprocessed vibration data.

The above vehicle life prediction method obtains the shock data of the airdropped vehicle during the landing process, and then determines the health degree of the airdropped vehicle according to the shock data, and then obtains the vibration data of the airdropped vehicle in the sports car stage when the health degree meets the preset conditions Finally, life prediction is performed based on the vibration data to determine the remaining life of the airdropped vehicle. This method predicts the life of the airdropped vehicle based on the shock data and vibration data. By analyzing and synthesizing different data at different stages, the prediction accuracy of the airdropped vehicle's life can be improved. By accurately predicting the life of the airdropped vehicle, it can be identified in time. Airdrop vehicles with hidden dangers and make corresponding treatment to provide more effective basis for vehicle maintenance, thereby prolonging the service life of vehicles.

In one embodiment, a step of determining the health of the airdropped vehicle is also provided. As shown in FIG. 3, the "determining the health of the airdropped vehicle according to the impact data" in the above step S202 may include:

S301. Determine the total damage value accumulated during the airborne phase of the airdropped vehicle according to the impact data.

Among them, the accumulated total damage value in the airborne stage is the sum of the damage caused by various impacts and the historical damage suffered by the airdrop vehicle during the airborne process.

In the embodiment of the present application, the vehicle-mounted system can store the historical damage value after each airborne mission is executed. When performing a new airborne mission, the vehicle-mounted system can calculate the landing stage of the airdropped vehicle after obtaining the impact data of the airdropped vehicle based on the above steps. The strain value generated by the impact force, and then according to the strain generated by the impact force, the relevant parameters of the airdrop vehicle and the stored historical damage value, calculate the total damage value accumulated during the airborne stage of the current airdrop vehicle. Optionally, an algorithm model can be constructed in advance. After the impact data of the airdropped vehicle is obtained based on the above steps, the impact data can be input into the algorithm model for calculation, and the total damage value accumulated during the airborne stage of the airdropped vehicle can be obtained.

S302. Determine the health level of the airdropped vehicle according to the total damage value.

In the embodiment of the present application, after the vehicle-mounted system obtains the total damage value accumulated during the airborne phase of the airdrop vehicle based on the aforementioned steps, it can use related calculation formulas to calculate the health degree of the airdrop vehicle. For example, the relevant calculation formula may be: the health level of the airdrop vehicle=1-the total damage value accumulated during the airborne stage of the airdrop vehicle.

In the above-mentioned embodiment, by determining the total damage value accumulated in the airborne stage according to the impact data, and then determining the health degree of the airdropped vehicle according to the total damage value, the health degree of the vehicle can be evaluated, and effective repair and maintenance measures can be taken in time, for Subsequent use and maintenance work provides basic data and basis, thereby improving the reliability and service life of airdrop vehicles.

In one embodiment, there is also provided a step of determining the cumulative total damage value of the airdrop vehicle during the airborne phase, as shown in FIG. 4 , in the above step S301 "determine the cumulative total damage value of the airdrop vehicle during the airborne phase based on the impact data" , which can include:

S401. Determine the impact damage value corresponding to this airdrop according to the impact data.

Among them, the impact damage value is the damage caused by various impacts received by the airdrop vehicle during the airborne process.

In the embodiment of this application, after the vehicle-mounted system obtains the impact data based on the above steps, it can process and analyze the impact data, and then use the principle of stress analysis on the processed data to calculate the impact damage value corresponding to this airdrop. For example, MATLAB software can be used to process and analyze the data.

S402. Determine the cumulative total damage value of the airdrop vehicle in the airborne stage according to the impact damage value corresponding to the current airdrop and the cumulative damage value in the historical stage.

In the embodiment of this application, after the vehicle-mounted system obtains the impact damage value corresponding to this airdrop based on the above steps, it can calculate the cumulative damage value in the historical stage according to the previous airdrop task data and the historical records of the airdrop vehicle, and calculate the cumulative damage value of this airdrop. The corresponding impact damage value is added to the cumulative damage value of the historical stage to obtain the total cumulative damage value of the airdrop vehicle during the airborne stage. For example, if the impact damage value corresponding to this airdrop is 0.1, and the cumulative damage value in the historical stage is 0.3, then the accumulated total damage value in the airdrop stage of the airdrop vehicle is 0.4.

The above-mentioned embodiment determines the total damage value accumulated in the airborne stage, because the total damage value accumulated in the airborne stage can reflect the damage degree of the airdrop vehicle in the airborne stage, therefore, the state and performance of the vehicle are analyzed by using the accumulated total damage value in the airborne stage Assessing, and developing appropriate repair and maintenance plans, can improve vehicle safety and reliability.

In one embodiment, a step of determining the impact damage value corresponding to this airdrop is also provided. As shown in FIG. include:

S501. Determine whether the airdrop vehicle undergoes plastic deformation according to the impact data.

Among them, the plastic deformation refers to the deformation of the body structure of the airdrop vehicle.

In the embodiment of the present application, after the vehicle-mounted system obtains the shock data based on the above steps, it can input the shock data into the pre-constructed model or related function relation to obtain the strain value parameters of the airdropped vehicle, and then combine the strain value parameters with the airdropped vehicle Compared with its own yield strength parameter, if the strain value parameter is greater than the yield strength parameter, it means that the airdropped vehicle has undergone plastic deformation, and if the stress value parameter is less than or equal to the yield strength parameter, it means that the airdropped vehicle has not undergone plastic deformation. Among them, as shown in Figure 6, the pre-constructed model can be obtained by finite element simulation of various working conditions (working condition 1, working condition 2...working condition N) through interpolation method based on boundary conditions (which can be impact acceleration) Corresponding simulation results (simulation result 1, simulation result 2...simulation result N), and store the corresponding relationship in the simulation model library, and then build a model library based on offline simulation. Optionally, the pre-built model can also be a machine learning model built through machine learning, or a pre-trained neural network model.

S502. When it is determined that the airdropped vehicle has plastic deformation, according to the preset damage model and impact data, determine the impact damage value corresponding to the airdrop.

Wherein, the damage model may be a Lemaître damage model, and the Lemaître damage model may be used to evaluate structural damage under plastic deformation.

In the embodiment of the present application, when the vehicle-mounted system determines that the airdropped vehicle is plastically deformed based on the aforementioned steps, the impact data obtained based on the aforementioned steps can be input into the preset damage model to calculate the impact damage value corresponding to this airdrop. For example, when the impact data is impact acceleration, the damage model can be calculated using the Lemaitre damage model, and the Lemaitre damage model can be expressed by the relationship (1):

Among them, _DL represents the impact damage value corresponding to this airdrop (also known as low cycle fatigue damage), _DR represents the damage limit value, ε _P represents the plastic strain of material cumulative damage, ε _D represents the damage threshold, and ε _R represents the limit value The plastic strain of , _st represents the triaxial stress factor, which reflects the influence of triaxial stress ratio on material damage.

In the above embodiment, the impact data is used to determine whether the airdrop vehicle has plastic deformation, and the impact damage value corresponding to this airdrop is calculated in the case of plastic deformation, which can provide data basis for the subsequent life prediction of the airdrop vehicle and improve the life span. forecast accuracy.

In one embodiment, the method for determining the impact damage value corresponding to the airdrop provided in the above embodiment further includes: determining the impact damage value corresponding to the airdrop as the preset value when it is determined that the airdrop vehicle does not undergo plastic deformation value.

In the embodiment of the present application, if the vehicle-mounted system determines that the airdrop vehicle has not undergone plastic deformation based on the aforementioned steps, the impact damage value corresponding to this airdrop is negligible, and the impact damage value corresponding to this airdrop can be set to zero.

In one embodiment, a step of determining the remaining life of the airdropped vehicle is also provided. As shown in FIG. 7, the above step S204 of "predicting the life according to the vibration data to determine the remaining life of the airdropped vehicle" includes:

S601. Determine the total damage value accumulated in the sports car stage of the airdrop vehicle according to the vibration data.

Among them, the accumulated total damage value of the airdrop vehicle during the sports car stage represents the sum of the damage caused by various impacts, the damage caused by various vibrations received by the airdrop vehicle during the airborne process, and the historical damage.

In the embodiment of the present application, the vehicle-mounted system can store the historical damage value after each airborne mission is executed, and store the total damage value accumulated in the airborne stage of the airdrop vehicle after the current airborne mission is performed. When performing the sports car mission, the vehicle-mounted system After obtaining the vibration data of the airdropped vehicle based on the above steps, the total damage value accumulated in the sports car phase of the current airdropped vehicle can be calculated according to the vibration data, the relevant parameters of the airdropped vehicle itself and the stored historical damage value.

Optionally, an algorithm model can be built in advance. After the vibration data of the airdropped vehicle is obtained based on the above steps, the vibration data is input into the algorithm model for calculation, and then according to the damage value of the sports car stage of the airdropped vehicle and the airborne The total damage value accumulated in the stage can be used to obtain the total damage value accumulated in the sports car stage of the airdrop vehicle. Optionally, the on-board system can also process and analyze the vibration data, and then use the principle of stress analysis on the processed data to calculate the total damage value accumulated during the airdrop vehicle sports car stage. For example, MATLAB software can be used to process and analyze the data.

S602. Perform life prediction according to the accumulated total damage value in the sports car stage of the airdropped vehicle, and determine the remaining lifespan of the airdropped vehicle.

Among them, the remaining life of the airdropped vehicle includes the remaining life of the airborne stage and the remaining life of the sports car stage.

In the embodiment of the present application, the vehicle-mounted system can obtain the average damage value of the sports car and the average damage value of the airborne stage through experiments in advance. The remaining life of the airdropped vehicle can be calculated based on the accumulated total damage value during the airborne stage, the accumulated total damage value during the sports car stage, the average sports car damage value, and the average airborne damage value. Specifically, the remaining life _Mi of the sports car stage can be calculated by the following relationship (2):

Mi=G*(1-Dpi)/DEi (2);

Among them, G represents the mileage of the vehicle within a unit of damage, D _pi represents the total damage value accumulated during the airdrop vehicle sports car stage, and D _Ei represents the average damage value of the sports car.

The remaining life L _i in the airborne phase can be calculated by the following relation (3):

L _i =(1−D _Pi )/(D _Ei +D _Fi ) (3);

Among them, D _Fi represents the average airborne damage value.

In the above-mentioned embodiment, this embodiment determines the total damage value accumulated in the sports car stage, because the total damage value accumulated in the sports car stage can reflect the damage degree of the airdropped vehicle in the sports car stage, therefore, the total damage value accumulated in the sports car stage is used to determine the damage of the vehicle. Assessing the status and performance of vehicles and formulating corresponding repair and maintenance plans can improve the safety and reliability of vehicles.

In one embodiment, there is also provided a step of determining the cumulative total damage value of the airdrop vehicle sports car stage, as shown in FIG. 8 , in the above step S601 "determine the cumulative total damage value of the airdrop vehicle sports car stage according to the vibration data" , which can include:

S701. Determine the fatigue damage value of the airdropped vehicle according to the vibration data.

Among them, the fatigue damage value represents the damage caused by various vibrations suffered by the airdrop vehicle during the sports car process.

In the embodiment of the present application, based on the vibration data obtained in the preceding steps, the on-board system can analyze the vibration data of the current sports car stage through the frame finite element model (the finite element model shown in FIG. 9 ) to obtain its transfer function, namely Get the transfer function of the finite element model. Then, the frequency spectrum transformation is performed on the vibration data to obtain its power spectral density curve, and the four arithmetic operations are performed on the curve and the transfer function to obtain the strain value, and then the fatigue damage value of the airdropped vehicle is calculated according to the strain value and the relevant parameters of the airdropped vehicle itself.

S702. Determine the accumulated total damage value of the airdrop vehicle in the sports car stage according to the fatigue damage value and the accumulated total damage value in the airborne stage of the airdrop vehicle.

In the embodiment of the present application, based on the fatigue damage value of the sports car stage of the airdropped vehicle and the impact damage value of the airborne stage obtained in the above steps, the vehicle-mounted system can accumulate the fatigue damage value and the impact damage value to obtain the total damage value accumulated in the sports car stage of the airdrop vehicle .

Specifically, the total damage value D _T accumulated in the sports car stage of the airdrop vehicle can be expressed by the relation (4):

D _T =D _L +D _H (4);

Among them, D _L is the impact damage value in the airborne stage; D _H is the fatigue damage value in the sports car stage (also known as high cycle fatigue damage).

The above embodiment determines the total damage value accumulated in the sports car stage. Since the total damage value accumulated in the sports car stage can reflect the damage degree of the airdropped vehicle in the sports car stage, the state and performance of the vehicle can be analyzed by using the total damage value accumulated in the sports car stage. Assessing, and developing appropriate repair and maintenance plans, can improve vehicle safety and reliability.

In one embodiment, a step of determining the fatigue damage value of the airdropped vehicle is also provided, as shown in FIG. 10 , that is, step S701 "determining the fatigue damage value of the airdropped vehicle according to the vibration data" includes:

S801. Under the condition that it is determined that the airdrop vehicle undergoes plastic deformation, update the preset strain-life curve.

Among them, the strain-life curve is used to represent the relationship between strain and life.

In the embodiment of the present application, the vehicle-mounted system can obtain the strain amplitude and cycle number data of corresponding components or components through corresponding experiments in advance, and perform fitting and analysis on multiple data points to obtain a strain-life curve model. When the vehicle-mounted system determines that the airdropped vehicle is plastically deformed based on the aforementioned steps, the vibration data is input into the strain-life curve model constructed in advance for data update processing.

For example, as shown in Figure 11 (in Figure 11, the ordinate is Δε/2, Δε is the total strain amplitude; the abscissa is 2N, and N is the number of failure cycles), the strain can be obtained by the experimental four-point correlation method or the general slope method —Life curve, the strain-life curve includes a strain curve representing elastic deformation (curve ① in Figure 11), a strain curve representing plastic deformation (curve ② in Figure 11), and the total strain curve of the two curves ( Curve (3) in Fig. 11), and the relationship between the three curves can be represented by relational formula (5):

Because, the elastic strain curve can be expressed by relation (6):

The plastic strain curve can be expressed by relation (7):

Combining the above formulas (3)-(5), the total strain curve can be expressed by relational formula (8):

Among them, Δε is the total strain amplitude; Δε _e is the total strain amplitude; Δε _p is the total strain amplitude; ε _F ′ is the fatigue ductility coefficient; σ _F ′ is the strength coefficient; E is Young’s modulus; N is the failure Number of cycles; b is the fatigue strength index; c is the fatigue ductility index.

During the sports car stage after the airdrop vehicle lands, the frame of the airdrop vehicle will bear the residual plastic strain caused by the landing impact and the cyclic load generated by the running vibration of the sports car. The residual plastic strain has a significant impact on the life, that is, the tensile average stress will be harmful to the fatigue life, while the compressive average stress is beneficial, so the average stress effect formula can be used to update the strain-life curve to eliminate the influence of residual plastic strain . Specifically, the Morrow model is used to update the average stress, and the Morrow model can be expressed by the relation (9):

Among them, σ _a is the stress amplitude; σ _m is the mean stress; σ _ar is the equivalent complete reverse stress amplitude; σ _f is the true fracture strength.

The strain-life curve updated by the Morrow model is expressed by the relation (10):

Among them, Δε is the total strain amplitude; ε _F ′ is the fatigue ductility coefficient; σ _F ′ is the strength coefficient; E is Young’s modulus; N is the failure cycle number; b is the fatigue strength index; c is the fatigue ductility index.

S802. Calculate the fatigue damage value of the airdropped vehicle according to the updated strain-life curve.

In the embodiment of the present application, the on-board system obtains the updated strain-life curve based on the above steps, and then calculates the strain amplitude through the corresponding function according to the vibration data, and determines the strain amplitude through the points on the updated strain-life curve The number of cycles below, and then according to the number of cycles, calculate the fatigue damage value of the airdrop vehicle at this point.

In one embodiment, a method for determining the fatigue damage value of the air-dropped vehicle is also provided, that is, step S701 "determining the fatigue damage value of the air-dropped vehicle according to the vibration data" includes: In the case of , the fatigue damage value of the airdropped vehicle is determined according to the preset stress-life curve.

Among them, the stress-life curve is used to represent the relationship between stress and life.

In the embodiment of the present application, after the vehicle-mounted system determines that the airdropped vehicle has not undergone plastic deformation based on the aforementioned steps, the vibration data is calculated through the corresponding function to obtain the amplitude of the stress cycle, and then the amplitude of the stress cycle is determined according to the amplitude of the stress cycle The number of cycles below is determined by determining the corresponding stress-life curve of the airborne vehicle material (as shown in Figure 12, the ordinate in Figure 12 is Sut, and Sut is the ultimate stress of the airborne vehicle, also known as the strength limit; Se represents the fatigue limit; The abscissa is N, N is the number of failure cycles), the fatigue life at this point can be obtained, and finally the cycle number is divided according to the fatigue life to obtain the fatigue damage value of the airdropped vehicle at this point.

In the above-mentioned embodiments, the vehicle-mounted system builds a stress-life curve model and inputs the acquired vibration data into the model for data update to more accurately predict the remaining life of the equipment, thereby making preparations for maintenance and updates in advance.

In one embodiment, the method for predicting the life of a vehicle provided in the above embodiment further includes: determining that the airdropped vehicle has no remaining life when the health level does not meet the preset condition.

In this embodiment of the application, after the on-board system obtains the health level of the airdropped vehicle based on the above steps, it can determine whether the health level meets the preset conditions, for example, whether the health level is within the preset threshold, and when the health level does not meet the preset conditions , the onboard system determines that the airdropped vehicle has no remaining lifespan, that is, the airdropped vehicle cannot perform the sports car mission.

In the above embodiment, the vehicle-mounted system judges whether the health level meets the preset conditions, and terminates the execution of the task if the health level does not meet the preset conditions, so as to avoid the occurrence of dangerous situations caused by the use of airdrop vehicles whose health level does not meet the preset conditions. To ensure the safety of personnel and equipment,

In an example, as shown in FIG. 13 , a vehicle life prediction method provided in the above embodiment further includes:

S901. Before the airdrop, acquire the historical cumulative damage value of the airdropped vehicle.

Wherein, the historical cumulative damage value represents all the accumulated damage values of the airdrop vehicle during use.

In the embodiment of this application, the vehicle-mounted system can store the cumulative damage value in the data management system of the vehicle-mounted system after each task execution, and before the next airdrop, the vehicle-mounted system can obtain the historical cumulative damage of the airdropped vehicle from the data management system value.

S902. Determine mission information of the airdropped vehicle according to the historical cumulative damage value.

Among them, the mission information is used to represent whether the airdrop vehicle is allowed to perform the airdrop mission.

In the embodiment of the present application, the on-board system obtains the historical cumulative damage value based on the aforementioned steps, and can determine the current health degree according to the historical cumulative damage value, and then judge whether the health degree is within the preset threshold, if the health degree meets the preset condition , the airdrop vehicle is allowed to perform the airdrop task. If the health level does not meet the preset conditions, the airdrop vehicle is not allowed to perform the airdrop task. In this embodiment, the vehicle-mounted system can provide more accurate task assessment and guidance for the airdrop vehicle by obtaining the historical cumulative damage value of the airdrop vehicle, so as to ensure the safe and smooth completion of the airdrop task.

Combining all the above embodiments, there is also provided a vehicle life prediction method, as shown in Figure 14, the method includes:

Step 1. Before the airdrop, obtain the historical cumulative damage value of the airdropped vehicle.

Step 2. Determine the task information of the airdrop vehicle according to the historical cumulative damage value. The task information is used to indicate whether the airdrop vehicle is allowed to perform the airdrop task.

Step 3, under the condition that the airdrop vehicle is allowed to perform the airdrop task, the impact data of the airdrop vehicle during the landing process is obtained.

Step 4, determine whether the airdropped vehicle has plastic deformation according to the impact data.

Step 5, in the case that plastic deformation of the airdropped vehicle is determined, according to the preset damage model and impact data, determine the impact damage value corresponding to the airdrop.

Step 6, when it is determined that the airdropped vehicle has not undergone plastic deformation, determine the impact damage value corresponding to this airdrop as a preset value.

Step 7: Determine the cumulative total damage value of the airdropped vehicle during the airborne stage according to the impact damage value corresponding to this airdrop and the cumulative damage value in the historical stage.

Step 8, determine the health of the airdropped vehicle according to the total damage value.

Step 9, in the case that the health level does not meet the preset condition, it is determined that the airdropped vehicle has no remaining lifespan.

Step 10, when the health level meets the preset conditions, perform the airdrop task, and obtain the vibration data of the airdrop vehicle in the sports car stage.

Step 11, when it is determined that the airdrop vehicle has undergone plastic deformation, update the preset strain-life curve.

Step 12, calculate the fatigue damage value of the airdropped vehicle according to the updated strain-life curve.

Step 13, when it is determined that the airdropped vehicle has not undergone plastic deformation, determine the fatigue damage value of the airdropped vehicle according to the preset stress-life curve.

Step 14, according to the fatigue damage value and the total damage value accumulated during the airborne stage of the airdrop vehicle, determine the total accumulated damage value of the airdrop vehicle during the sports car stage. Store the total damage value accumulated in the sports car stage of the airdrop vehicle to indicate the use in the next airdrop mission.

Step 15, perform life prediction according to the total damage value accumulated in the sports car phase of the airdrop vehicle, and determine the remaining life of the airdrop vehicle.

In step 16, the remaining life of the airborne stage and the remaining life of the sports car stage are displayed.

The methods described in the above steps are all described in the foregoing embodiments. For details, please refer to the foregoing descriptions, and details are not repeated here.

It should be understood that although the steps in the flow charts involved in the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in the flow charts involved in the above-mentioned embodiments may include multiple steps or stages, and these steps or stages are not necessarily executed at the same time, but may be performed at different times For execution, the execution order of these steps or stages is not necessarily performed sequentially, but may be executed in turn or alternately with other steps or at least a part of steps or stages in other steps.

Based on the same inventive concept, an embodiment of the present application further provides a vehicle life prediction device for implementing the above-mentioned vehicle life prediction method. The solution to the problem provided by the device is similar to the implementation described in the above method, so the specific limitations in one or more embodiments of the vehicle life prediction device provided below can be referred to above for the vehicle life prediction method limited and will not be repeated here.

In one embodiment, as shown in FIG. 15 , a vehicle life prediction device is provided, including:

The first acquisition module 11 is used to acquire the impact data of the airdrop vehicle during the landing process;

The first determination module 12 is used to determine the health degree of the airdrop vehicle according to the impact data;

The second acquisition module 13 is used to acquire the vibration data of the airdrop vehicle in the sports car stage when the health degree meets the preset condition;

The second determination module 14 is configured to perform life prediction according to the vibration data, and determine the remaining life of the airdrop vehicle.

In one embodiment, the above-mentioned first determination module 11 includes:

The first determination unit is configured to determine the total damage value accumulated during the airborne stage of the airdrop vehicle according to the impact data.

The second determination unit is configured to determine the health of the airdropped vehicle according to the total damage value.

In one embodiment, the above-mentioned first determination unit includes:

The first determination subunit is used to determine the impact damage value corresponding to this airdrop according to the impact data;

The second determining subunit is used to determine the cumulative total damage value of the airdrop vehicle in the airborne stage according to the impact damage value corresponding to this airdrop and the cumulative damage value in the historical stage.

In one embodiment, the above-mentioned first determining subunit is specifically used to determine whether the airdrop vehicle has plastic deformation according to the impact data; if it is determined that the airdrop vehicle has plastic deformation, according to the preset damage model and impact data, determine the current The impact damage value corresponding to the airdrop; when it is determined that the airdrop vehicle has not undergone plastic deformation, the impact damage value corresponding to the airdrop is determined as the default value.

In one embodiment, the above-mentioned second determination module 14 includes:

The third determination unit is configured to determine the total damage value accumulated in the sports car stage of the airdrop vehicle according to the vibration data.

The fourth determining unit performs life prediction according to the total damage value accumulated in the sports car stage of the airdropped vehicle, and determines the remaining life of the airdropped vehicle.

In one embodiment, the above-mentioned third determination unit includes:

The third determining subunit is used to determine the fatigue damage value of the airdropped vehicle according to the vibration data.

The fourth determining subunit is used to determine the accumulated total damage value of the airdrop vehicle during the sports car stage according to the fatigue damage value and the accumulated total damage value during the airborne stage of the airdrop vehicle.

In one embodiment, the above-mentioned third determination subunit is specifically configured to update the preset strain-life curve when it is determined that the air-dropped vehicle is plastically deformed; Fatigue damage value: In the case of determining that the airdrop vehicle has not undergone plastic deformation, determine the fatigue damage value of the airdrop vehicle according to the preset stress-life curve.

In one embodiment, the above-mentioned vehicle life prediction device further includes:

The third determining module is used to determine that the airdropped vehicle has no remaining lifespan when the health level does not meet the preset condition.

In one embodiment, the above-mentioned vehicle life prediction device further includes:

The third acquisition module is used to obtain the historical cumulative damage value of the airdropped vehicle before the airdrop

The fourth determination module is used to determine the task information of the airdrop vehicle according to the historical cumulative damage value. Among them, the mission information is used to represent whether the airdrop vehicle is allowed to perform the airdrop mission.

Each module in the above-mentioned vehicle life prediction device can be fully or partially realized by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the electronic device in the form of hardware, and can also be stored in the memory of the electronic device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.

In one embodiment, an electronic device is provided. The electronic device may be a terminal, and its internal structure may be as shown in FIG. 12 . The electronic device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input device. Wherein, the processor, the memory and the input/output interface are connected through the system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein, the processor of the electronic device is used to provide calculation and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input/output interface of the electronic device is used for exchanging information between the processor and external devices. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, mobile cellular network, NFC (Near Field Communication) or other technologies. When the computer program is executed by the processor, a method for predicting the life of a vehicle is realized. The display unit of the electronic device is used to form a visually visible picture, which may be a display screen, a projection device or a virtual reality imaging device. The display screen may be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device may be a touch layer covered on the display screen, or a button, a trackball or a touch pad set on the casing of the electronic device, or a External keyboard, touchpad or mouse etc.

Those skilled in the art can understand that the structure shown in Figure 12 is only a block diagram of a partial structure related to the solution of this application, and does not constitute a limitation on the electronic equipment to which the solution of this application is applied. The specific electronic equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

In one embodiment, an electronic device is provided, including a memory and a processor, a computer program is stored in the memory, and the processor implements the following steps when executing the computer program:

Obtain the impact data of the airdrop vehicle during the landing process;

Determining the health of airdropped vehicles based on impact data;

Obtain the vibration data of the airdropped vehicle in the sports car stage when the health level meets the preset conditions;

Lifetime prediction based on vibration data to determine the remaining life of the airdropped vehicle.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Determine the total damage value accumulated during the airborne phase of the airdrop vehicle based on the impact data;

Determines the health of the airdrop vehicle based on the total damage value.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Determine the impact damage value corresponding to this airdrop according to the impact data;

According to the impact damage value corresponding to this airdrop and the cumulative damage value in the historical stage, determine the cumulative total damage value of the airdrop vehicle during the airborne stage.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Determine whether the airdropped vehicle has undergone plastic deformation based on the impact data;

In the case of plastic deformation of the airdropped vehicle, the impact damage value corresponding to the airdrop is determined according to the preset damage model and impact data.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

When it is determined that the airdropped vehicle has not undergone plastic deformation, the impact damage value corresponding to this airdrop is determined as the preset value.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Determine the total damage value accumulated in the sports car stage of the airdrop vehicle according to the vibration data;

According to the total damage value accumulated in the sports car stage of the airdrop vehicle, the life prediction is carried out to determine the remaining life of the airdrop vehicle.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Determine the fatigue damage value of the airdropped vehicle based on the vibration data;

According to the fatigue damage value and the total damage value accumulated during the airborne stage of the airdrop vehicle, determine the total accumulated damage value of the airdrop vehicle sports car stage.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

In the case of determining that the airdrop vehicle is plastically deformed, the preset strain-life curve is updated;

The fatigue damage value of the airdropped vehicle is calculated according to the updated strain-life curve.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

When it is determined that the airdropped vehicle does not undergo plastic deformation, the fatigue damage value of the airdropped vehicle is determined according to the preset stress-life curve.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

In the case that the health level does not meet the preset conditions, it is determined that the airdrop vehicle has no remaining life.

In one embodiment, the following steps are also implemented when the processor executes the computer program: before the airdrop, obtain the historical cumulative damage value of the airdropped vehicle;

The task information of the airdrop vehicle is determined according to the historical cumulative damage value, and the task information is used to indicate whether the airdrop vehicle is allowed to perform the airdrop task.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Obtain the impact data of the airdrop vehicle during the landing process;

Determining the health of airdropped vehicles based on impact data;

Obtain the vibration data of the airdropped vehicle in the sports car stage when the health level meets the preset conditions;

Lifetime prediction based on vibration data to determine the remaining life of the airdropped vehicle.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the total damage value accumulated during the airborne phase of the airdrop vehicle based on the impact data;

Determines the health of the airdrop vehicle based on the total damage value.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the impact damage value corresponding to this airdrop according to the impact data;

According to the impact damage value corresponding to this airdrop and the cumulative damage value in the historical stage, determine the cumulative total damage value of the airdrop vehicle during the airborne stage.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine whether the airdropped vehicle has undergone plastic deformation based on the impact data;

In the case of plastic deformation of the airdropped vehicle, the impact damage value corresponding to the airdrop is determined according to the preset damage model and impact data.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

When it is determined that the airdropped vehicle has not undergone plastic deformation, the impact damage value corresponding to this airdrop is determined as the preset value.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the total damage value accumulated in the sports car stage of the airdrop vehicle according to the vibration data;

According to the total damage value accumulated in the sports car stage of the airdrop vehicle, the life prediction is carried out to determine the remaining life of the airdrop vehicle.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the fatigue damage value of the airdropped vehicle based on the vibration data;

According to the fatigue damage value and the total damage value accumulated during the airborne stage of the airdrop vehicle, determine the total accumulated damage value of the airdrop vehicle sports car stage.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

In the case of determining that the airdrop vehicle is plastically deformed, the preset strain-life curve is updated;

The fatigue damage value of the airdropped vehicle is calculated according to the updated strain-life curve.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

When it is determined that the airdropped vehicle does not undergo plastic deformation, the fatigue damage value of the airdropped vehicle is determined according to the preset stress-life curve.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

In the case that the health level does not meet the preset conditions, it is determined that the airdrop vehicle has no remaining life.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Before the airdrop, obtain the historical cumulative damage value of the airdropped vehicle;

The task information of the airdrop vehicle is determined according to the historical cumulative damage value, and the task information is used to indicate whether the airdrop vehicle is allowed to perform the airdrop task.

In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

Obtain the impact data of the airdrop vehicle during the landing process;

Determining the health of airdropped vehicles based on shock data;

Obtain the vibration data of the airdropped vehicle in the sports car stage when the health level meets the preset conditions;

Lifetime prediction based on vibration data to determine the remaining life of the airdropped vehicle.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the total damage value accumulated during the airborne phase of the airdrop vehicle based on the impact data;

Determines the health of the airdrop vehicle based on the total damage value.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the impact damage value corresponding to this airdrop according to the impact data;

According to the impact damage value corresponding to this airdrop and the cumulative damage value in the historical stage, determine the cumulative total damage value of the airdrop vehicle during the airborne stage.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine whether the airdropped vehicle has undergone plastic deformation based on the impact data;

In the case of plastic deformation of the airdropped vehicle, the impact damage value corresponding to the airdrop is determined according to the preset damage model and impact data.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

When it is determined that the airdropped vehicle has not undergone plastic deformation, the impact damage value corresponding to this airdrop is determined as the preset value.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the total damage value accumulated in the sports car stage of the airdrop vehicle according to the vibration data;

According to the total damage value accumulated in the sports car stage of the airdrop vehicle, the life prediction is carried out to determine the remaining life of the airdrop vehicle.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the fatigue damage value of the airdropped vehicle based on the vibration data;

According to the fatigue damage value and the total damage value accumulated during the airborne stage of the airdrop vehicle, determine the total accumulated damage value of the airdrop vehicle sports car stage.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

In the case of determining that the airdrop vehicle is plastically deformed, the preset strain-life curve is updated;

The fatigue damage value of the airdropped vehicle is calculated according to the updated strain-life curve.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

When it is determined that the airdropped vehicle does not undergo plastic deformation, the fatigue damage value of the airdropped vehicle is determined according to the preset stress-life curve.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

In the case that the health level does not meet the preset conditions, it is determined that the airdrop vehicle has no remaining life.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Before the airdrop, obtain the historical cumulative damage value of the airdropped vehicle;

The task information of the airdrop vehicle is determined according to the historical cumulative damage value, and the task information is used to indicate whether the airdrop vehicle is allowed to perform the airdrop task.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any reference to storage, database or other media used in the various embodiments provided in the present application may include at least one of non-volatile and volatile storage. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive variable memory (ReRAM), magnetic variable memory (Magnetoresistive Random Access Memory, MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (Phase Change Memory, PCM), graphene memory, etc. The volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory. As an illustration and not a limitation, RAM can be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (Dynamic Random Access Memory, DRAM). The databases involved in the various embodiments provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a blockchain-based distributed database, etc., but is not limited thereto. The processors involved in the various embodiments provided by this application can be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, data processing logic devices based on quantum computing, etc., and are not limited to this.

The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

The above-mentioned embodiments only express several implementation modes of the present application, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the present application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be determined by the appended claims.

Claims (15)

1. A vehicle life prediction method, characterized in that the method comprises: Obtain the impact data of the airdrop vehicle during the landing process; determining the health of the airdropped vehicle based on the impact data; Obtaining the vibration data of the airdropped vehicle in the sports car stage when the health degree meets the preset condition; Life prediction is performed according to the vibration data to determine the remaining life of the airdrop vehicle. 2. The vehicle life prediction method according to claim 1, wherein said determining the health degree of said airdropped vehicle according to said shock data comprises: determining the total damage value accumulated during the airborne phase of the airdrop vehicle according to the impact data; The health level of the airdrop vehicle is determined according to the total damage value. 3. The vehicle life prediction method according to claim 2, wherein said determining the total damage value accumulated during the airborne phase of said airdropped vehicle according to said impact data comprises: Determine the impact damage value corresponding to this airdrop according to the impact data; According to the impact damage value corresponding to the current airdrop and the cumulative damage value in the historical stage, the total damage value accumulated in the airborne stage of the airdrop vehicle is determined. 4. The vehicle life prediction method according to claim 3, wherein said determining the impact damage value corresponding to the airdrop according to said impact data comprises: determining whether the airdrop vehicle is plastically deformed according to the impact data; If it is determined that the airdropped vehicle is plastically deformed, the impact damage value corresponding to the current airdrop is determined according to the preset damage model and the impact data. 5. The vehicle life prediction method according to claim 4, wherein the method further comprises: In a case where it is determined that the airdropped vehicle has not undergone plastic deformation, the impact damage value corresponding to the airdrop this time is determined as a preset value. 6. The vehicle life prediction method according to claim 3, wherein said performing life prediction according to said vibration data to determine the remaining life of said airdrop vehicle comprises: determining the total damage value accumulated in the sports car phase of the airdrop vehicle according to the vibration data; Life prediction is performed according to the total damage value accumulated in the sports car stage of the airdrop vehicle, and the remaining life of the airdrop vehicle is determined. 7. The vehicle life prediction method according to claim 6, wherein said determining the total damage value accumulated in the sports car stage of the airdropped vehicle according to the vibration data comprises: determining the fatigue damage value of the airdrop vehicle according to the vibration data; According to the fatigue damage value and the total damage value accumulated in the airborne stage of the airdrop vehicle, the accumulated total damage value in the sports car stage of the airdrop vehicle is determined. 8. The vehicle life prediction method according to claim 7, wherein said determining the fatigue damage value of said airdropped vehicle according to said vibration data comprises: In the case of determining that the airdrop vehicle is plastically deformed, update the preset strain-life curve; Calculate the fatigue damage value of the airdropped vehicle according to the updated strain-life curve. 9. The vehicle life prediction method according to claim 7, wherein said determining the fatigue damage value of said airdropped vehicle according to said vibration data comprises: If it is determined that the airdropped vehicle has not undergone plastic deformation, the fatigue damage value of the airdropped vehicle is determined according to a preset stress-life curve. 10. The vehicle life prediction method according to any one of claims 1-9, wherein the method further comprises: If the health degree does not meet the preset condition, it is determined that the airdrop vehicle has no remaining life. 11. The vehicle life prediction method according to claim 1, wherein the method further comprises: Before the airdrop, obtain the historical cumulative damage value of the airdropped vehicle; The mission information of the airdrop vehicle is determined according to the historical cumulative damage value, and the mission information is used to indicate whether the airdrop vehicle is allowed to perform the airdrop mission. 12. A vehicle life prediction device, characterized in that the device comprises: The first acquisition module is used to acquire the impact data of the airdrop vehicle during the landing process; A first determination module, configured to determine the health of the airdrop vehicle according to the impact data; The second acquisition module is used to acquire the vibration data of the airdrop vehicle in the sports car stage when the health degree meets the preset condition; The second determination module is configured to perform life prediction according to the vibration data, and determine the remaining life of the airdrop vehicle. 13. An electronic device comprising a memory and a processor, the memory stores a computer program, wherein the processor implements the method according to any one of claims 1 to 11 when executing the computer program step. 14. A computer-readable storage medium, on which a computer program is stored, wherein when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are implemented. 15. A computer program product, comprising a computer program, characterized in that, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are realized.