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

Vehicle life prediction method, apparatus, device, storage medium, and program product Download PDF

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Publication number
CN116663327A
CN116663327A CN202310884584.2A CN202310884584A CN116663327A CN 116663327 A CN116663327 A CN 116663327A CN 202310884584 A CN202310884584 A CN 202310884584A CN 116663327 A CN116663327 A CN 116663327A
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air
vehicle
drop
determining
damage value
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杨剑锋
王远航
周健
丁小健
吴和龙
蔡茗茜
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China Electronic Product Reliability and Environmental Testing Research Institute
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China Electronic Product Reliability and Environmental Testing Research Institute
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Wheeled or endless-tracked vehicles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Wheeled or endless-tracked vehicles
    • G01M17/0078—Shock-testing of vehicles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M7/00—Vibration-testing of structures; Shock-testing of structures
    • G01M7/08—Shock-testing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/04—Ageing analysis or optimisation against ageing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

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  • Engineering & Computer Science (AREA)
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  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

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, apparatus, device, storage medium, and program product
Technical Field
The present application relates to the field of airborne vehicles, and in particular, to a vehicle life prediction method, apparatus, device, storage medium, and program product.
Background
The airborne vehicle is subjected to airborne by a conveyor so as to achieve the aim of rapid aggregation, and the use process of the airborne vehicle mainly comprises an airborne stage and a sports stage. In the airborne stage, due to the uncertainty of airborne weather conditions and airborne areas and places, the impact force received by the airborne vehicle at each landing moment is different in magnitude and impact position, so that the damage is different, and the service life of the airborne vehicle is also affected differently by the damage.
At present, how to predict the service life of the airborne vehicle, so as to ensure that the airborne vehicle completes an airborne task, and the method becomes a technical problem to be solved urgently.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a vehicle lifetime prediction method, apparatus, device, storage medium, and program product that can predict the lifetime of an empty vehicle.
In a first aspect, the present application provides a vehicle life prediction method. The method comprises the following steps:
acquiring impact data of the air-drop vehicle in the landing process;
determining the health degree of the air-drop vehicle according to the impact data;
under the condition that the health degree accords with preset conditions, vibration data of the air-drop vehicle in the running stage are obtained;
and predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
In one embodiment, determining the health of the air-drop vehicle based on the impact data includes:
determining a total damage value accumulated in the airborne vehicle airborne stage according to the impact data;
and determining the health degree of the air-drop vehicle according to the total damage value.
In one embodiment, determining a total damage value accumulated in an airborne vehicle airborne phase according to impact data includes:
determining an impact damage value corresponding to the air drop according to the impact data;
and determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact damage value corresponding to the current airborne and the accumulated damage value in the historical stage.
In one embodiment, determining an impact damage value corresponding to the air drop according to the impact data includes:
determining whether the air-drop vehicle is subjected to plastic deformation according to the impact data;
under the condition that plastic deformation of the air-drop vehicle is determined, determining an impact damage value corresponding to the air-drop according to a preset damage model and impact data.
In one embodiment, the method further comprises:
and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining an impact damage value corresponding to the air-drop as a preset value.
In one embodiment, life prediction is performed according to vibration data, and the determination of the remaining life of the air-drop vehicle includes:
Determining a total damage value accumulated in the vehicle running stage of the air-drop vehicle according to the vibration data;
and predicting the service life according to the total damage value accumulated in the air-drop vehicle running stage, and determining the residual service life of the air-drop vehicle.
In one embodiment, determining a total damage value accumulated in a sports stage of the air-drop vehicle according to vibration data includes:
determining a fatigue damage value of the air-drop vehicle according to the vibration data;
and determining the total damage value accumulated in the vehicle running stage of the air-drop vehicle according to the fatigue damage value and the total damage value accumulated in the air-drop stage of the air-drop vehicle.
In one embodiment, determining a fatigue damage value of the air-drop vehicle according to the vibration data includes:
under the condition that plastic deformation of the air-drop vehicle is determined, updating a preset strain-life curve;
and calculating the fatigue damage value of the air-drop vehicle according to the updated strain-life curve.
In one embodiment, determining a fatigue damage value of the air-drop vehicle according to the vibration data includes:
and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining the fatigue damage value of the air-drop vehicle according to a preset stress-life curve.
In one embodiment, the method further comprises:
And under the condition that the health degree does not meet the preset condition, determining that the air-drop vehicle has no residual life.
In one embodiment, the method further comprises:
before air drop, acquiring a historical accumulated damage value of an air drop vehicle;
and determining task information of the air-drop vehicle according to the historical accumulated damage value, wherein the task information is used for representing whether the air-drop vehicle is allowed to execute the air-drop task.
In a second aspect, the application further provides a vehicle life prediction device. The device comprises:
the first acquisition module is used for acquiring impact data of the air-drop vehicle in the landing process;
the first determining module is used for determining the health degree of the air-drop vehicle according to the impact data;
the second acquisition module is used for acquiring vibration data of the air-drop vehicle in the vehicle running stage under the condition that the health degree accords with the preset condition;
and the second determining module is used for predicting the service life according to the vibration data and determining the residual service life of the air-drop vehicle.
In a third aspect, the application further provides electronic equipment. The electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the following steps when executing the computer program:
acquiring impact data of the air-drop vehicle in the landing process;
Determining the health degree of the air-drop vehicle according to the impact data;
under the condition that the health degree accords with preset conditions, vibration data of the air-drop vehicle in the running stage are obtained;
and predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring impact data of the air-drop vehicle in the landing process;
determining the health degree of the air-drop vehicle according to the impact data;
under the condition that the health degree accords with preset conditions, vibration data of the air-drop vehicle in the running stage are obtained;
and predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring impact data of the air-drop vehicle in the landing process;
determining the health degree of the air-drop vehicle according to the impact data;
under the condition that the health degree accords with preset conditions, vibration data of the air-drop vehicle in the running stage are obtained;
And predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
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 running 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.
Drawings
FIG. 1 is a diagram of an application environment for a vehicle life prediction method in one embodiment;
FIG. 2 is a flow chart of a method of predicting vehicle life in one embodiment;
FIG. 3 is a flow chart of a method of predicting vehicle life in another embodiment;
FIG. 4 is a flow chart of a method of predicting vehicle life in another embodiment;
FIG. 5 is a flow chart of a method of predicting vehicle life in another embodiment;
FIG. 6 is a schematic diagram of a model library based on offline simulation in another embodiment;
FIG. 7 is a flow chart of a method of predicting vehicle life in another embodiment;
FIG. 8 is a flow chart of a method of predicting vehicle life in another embodiment;
FIG. 9 is a schematic diagram of a finite element model in another embodiment;
FIG. 10 is a flow chart of a method of predicting vehicle life in another embodiment;
FIG. 11 is a schematic diagram of a strain-life curve in another embodiment;
FIG. 12 is a schematic diagram of stress-life curves in another embodiment;
FIG. 13 is a flow chart of a method of predicting vehicle life in another embodiment;
FIG. 14 is a flow chart of a method of predicting vehicle life in another embodiment;
FIG. 15 is a block diagram showing a configuration of a vehicle lifetime prediction apparatus in one embodiment;
fig. 16 is an internal structural diagram of an electronic device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The airborne vehicle is subjected to airborne by a conveyor so as to achieve the aim of rapid aggregation, and the use process of the airborne vehicle mainly comprises an airborne stage and a sports stage. Because the airborne vehicle can be reused, the structural damage of the airborne vehicle has the characteristics of transmission and accumulation. In the airborne stage, due to the uncertainty of airborne weather conditions and airborne areas and places, the impact force received by the airborne vehicle at each landing moment is different and the impact positions are different, so that the damage is different, and the vehicle body structure of the airborne vehicle is found to be the weakest link of the fault through multiple airborne experiments.
At present, how to predict the service life of the airborne vehicle, so as to ensure that the airborne vehicle completes an airborne task, and the method becomes a technical problem to be solved urgently. The present application provides a vehicle life prediction method, which aims to solve the above technical problems, and the following embodiments specifically describe the vehicle life prediction method of the present application.
The vehicle life prediction method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. The vehicle-mounted system 01 is arranged on the vehicle, and the vehicle-mounted system 01 is used for collecting operation data in the operation process of the vehicle, predicting the service life of the vehicle according to the collected operation data and determining the residual service life of the vehicle. The vehicle can be particularly an airborne vehicle or an air drop vehicle; the above-mentioned in-vehicle system 01 may be, but not limited to, various notebook computers, smart phones, tablet computers, intelligent in-vehicle devices, and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the application environment in which the present inventive arrangements are applied, and that a particular application environment may include more or less components than those shown, or may combine some components, or have a different arrangement of components.
In one embodiment, as shown in fig. 2, a vehicle life prediction method is provided, and the method is applied to the vehicle-mounted system 01 in fig. 1 for illustration, and includes the following steps:
s201, impact data of the air-drop vehicle in the landing process is acquired.
The impact data are used for representing impact acceleration data acquired by the impact of the air-drop vehicle with the ground in the landing process of the air-drop vehicle, and the impact data are impact acceleration time domain signals.
In the embodiment of the application, the data acquisition device such as a vibration sensor or an accelerometer can be arranged at the structurally weak part of the air-drop vehicle in advance. In the landing process of the air-drop vehicle, the vehicle-mounted system can acquire impact data of the air-drop vehicle in a period of time before and after landing through the data acquisition device. For example, the in-vehicle system collects impact data within 2s before and after landing of the air-drop vehicle.
S202, determining the health degree of the air-drop vehicle according to the impact data.
The health degree of the air-drop vehicle indicates that the air-drop vehicle is in a running state and a performance state in the using process, the health degree of the air-drop vehicle is high, the air-drop vehicle is in a good running state and a good performance state in the using process, and the air-drop vehicle can run stably and safely. The health degree of the air-drop vehicle is low, which means that some potential problems and risks may exist in the use process of the air-drop vehicle, such as structural damage or mechanical faults may exist, and the stable and safe operation of the air-drop vehicle may be affected.
In the embodiment of the application, after the vehicle-mounted system obtains the impact data before and after landing of the air-drop vehicle based on the steps, the impact data can be brought into the corresponding health degree interpolation function library to calculate the health degree. Optionally, the impact data can be input into a corresponding algorithm model to perform algorithm calculation, so as to obtain the health degree of the air-drop vehicle.
S203, under the condition that the health degree accords with the preset condition, vibration data of the air-drop vehicle in the sports stage are obtained.
The vibration data are used for representing vibration acceleration data acquired when the air-drop vehicle runs in the vehicle running stage, and the vibration data are vibration acceleration time domain signals.
In the embodiment of the application, after the vehicle-mounted system obtains the health degree of the air-drop vehicle based on the steps, whether the health degree meets the preset condition or not can be judged, for example, whether the health degree is within the threshold value or not is judged. When the health degree accords with the condition of the preset condition, the airborne vehicle executes the sports car task, and the vehicle-mounted system can acquire vibration data of the airborne vehicle in the sports car stage through the vibration sensor.
S204, predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
In the embodiment of the application, after the vehicle-mounted system obtains the vibration data based on the steps, the vibration data can be substituted into the corresponding residual life function to predict the life. Optionally, the vibration data can be input into a corresponding life prediction model to perform life prediction, so as to obtain the residual life of the air-drop vehicle. Optionally, the vibration data may be preprocessed to filter out the interference signal, and then life prediction may be performed on the preprocessed vibration data.
According to the vehicle life prediction 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 vehicle running 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.
In an embodiment, there is further provided a step of determining the health degree of the air-drop vehicle, as shown in fig. 3, the "determining the health degree of the air-drop vehicle according to the impact data" in the step S202 may include:
s301, determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact data.
The total damage value accumulated in the airborne stage is the sum of damage caused by various impacts and damage suffered by the airborne vehicle in the airborne process.
In the embodiment of the application, the vehicle-mounted system can store the historical damage value after the execution of each airborne mission, and when a new airborne mission is executed, the vehicle-mounted system can calculate the strain value generated by the impact force in the landing stage of the airborne vehicle after obtaining the impact data of the airborne vehicle based on the steps, and then calculate the total damage value accumulated in the current airborne vehicle airborne stage according to the strain generated by the impact force, the self-related parameters of the airborne vehicle and the stored historical damage value. Optionally, an algorithm model may be built in advance, and after impact data of the air-drop vehicle is obtained based on the steps, the impact data is input into the algorithm model for calculation, so that a total damage value accumulated in the air-drop stage of the air-drop vehicle can be obtained.
S302, determining the health degree of the air-drop vehicle according to the total damage value.
In the embodiment of the application, after the vehicle-mounted system obtains the total damage value accumulated in the airborne stage of the air-drop vehicle based on the steps, the health degree of the air-drop vehicle can be calculated by using a related calculation formula. For example, the correlation calculation formula may be: health of the air-drop vehicle = 1-total damage value accumulated during the air-drop phase of the air-drop vehicle.
In the embodiment, the total damage value accumulated in the airborne stage is determined according to the impact data, and the health degree of the air-drop vehicle is determined according to the total damage value, so that the health degree of the vehicle can be evaluated, effective repair and maintenance measures can be timely taken, basic data and basis are provided for subsequent use and maintenance work, and the reliability and the service life of the air-drop vehicle are improved.
In an embodiment, there is further provided a step of determining a total damage value accumulated in an airborne vehicle airborne phase, as shown in fig. 4, where "determining a total damage value accumulated in an airborne vehicle airborne phase according to impact data" in step S301 may include:
s401, determining an impact damage value corresponding to the air drop according to the impact data.
The impact damage value is damage caused by various impacts of the air-drop vehicle in the air-drop process.
In the embodiment of the application, after the vehicle-mounted system obtains the impact data based on the steps, the impact data can be processed and analyzed, and then the impact damage value corresponding to the air drop is calculated by applying a stress analysis principle to the processed data. For example, MATLAB software can be used to process and analyze the data.
S402, determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact damage value corresponding to the current airborne and the accumulated damage value in the historical stage.
In the embodiment of the application, after the impact damage value corresponding to the current air drop is obtained based on the steps, the vehicle-mounted system can calculate the accumulated damage value in the history stage according to the previous air drop task data and the history record of the air drop vehicle, and add the impact damage value corresponding to the current air drop and the accumulated damage value in the history stage to obtain the accumulated total damage value in the air drop stage of the air drop vehicle. For example, when the impact damage value corresponding to the present air drop is 0.1 and the accumulated damage value in the history stage is 0.3, the total damage value accumulated in the air drop stage of the air drop vehicle is 0.4.
The embodiment determines the total damage value accumulated in the airborne stage, and the total damage value accumulated in the airborne stage can reflect the damage degree of the air-drop vehicle in the airborne stage, so that the state and the performance of the vehicle are evaluated by using the total damage value accumulated in the airborne stage, and corresponding repair and maintenance plans are formulated, so that the safety and the reliability of the vehicle can be improved.
In an embodiment, there is further provided a step of determining an impact damage value corresponding to the present air drop, as shown in fig. 5, where "determining the impact damage value corresponding to the present air drop according to impact data" in the step S401 may include:
s501, determining whether the air-drop vehicle is subjected to plastic deformation according to the impact data.
Wherein, the plastic deformation is the deformation of the body structure of the air-drop vehicle.
In the embodiment of the application, after the vehicle-mounted system is based on the impact data obtained in the steps, the impact data can be input into a model or a related function relation constructed in advance to obtain the strain value parameter of the air-drop vehicle, the strain value parameter is compared with the yield strength parameter of the air-drop vehicle, if the strain value parameter is larger than the yield strength parameter, the air-drop vehicle is indicated to be plastically deformed, and if the stress value parameter is smaller than or equal to the yield strength parameter, the air-drop vehicle is indicated to be not plastically deformed. As shown in fig. 6, the model constructed in advance may perform finite element simulation on various working conditions (working condition 1, working condition 2, …, working condition N) by interpolation method based on boundary conditions (which may be impact acceleration) to obtain simulation results (simulation result 1, simulation result 2, …, simulation result N) corresponding to each other, and store the correspondence in a simulation model library, thereby constructing a model library based on offline simulation. Alternatively, the model constructed in advance may be a machine learning model constructed by machine learning, or may be a neural network model trained in advance.
S502, under the condition that plastic deformation of the air-drop vehicle is determined, determining an impact damage value corresponding to the air-drop according to a preset damage model and impact data.
The damage model may be a lemet damage model, which may be used to evaluate structural damage under plastic deformation.
In the embodiment of the application, when the vehicle-mounted system determines that the air-drop vehicle is subjected to plastic deformation based on the steps, the impact data obtained based on the steps can be input into a preset damage model, and the impact damage value corresponding to the air-drop is calculated. For example, when the impact data is impact acceleration, the damage model may be calculated by using the lemet damage model, and the lemet damage model may be represented by the following relation (1):
wherein D is L The impact damage value (also referred to as low cycle fatigue damage) corresponding to the present air drop is shown as D R For damage limit value ε P Indicating the cumulative damage plastic strain, epsilon, of the material D Represents the threshold, epsilon of damage R Plastic strain s representing a limit value t And the triaxial stress factor is expressed, and the influence of triaxial stress ratio on material damage is reflected.
In the embodiment, whether the air-drop vehicle is subjected to plastic deformation or not is determined through the impact data, and the impact damage value corresponding to the air-drop is calculated under the condition that the plastic deformation occurs, so that a data basis can be provided for life prediction of the air-drop vehicle in the follow-up process, and the accuracy of life prediction is improved.
In an embodiment, the method for determining the impact damage value corresponding to the air drop provided in the foregoing embodiment further includes: and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining an impact damage value corresponding to the air-drop as a preset value.
In the embodiment of the application, the vehicle-mounted system can set the impact damage value corresponding to the air drop to zero when determining that the air drop vehicle does not generate plastic deformation based on the steps.
In one embodiment, there is further provided a step of determining a remaining lifetime of the air-drop vehicle, as shown in fig. 7, the "lifetime prediction according to vibration data, determining a remaining lifetime of the air-drop vehicle" in the above step S204 includes:
s601, determining the total damage value accumulated in the air-drop vehicle running stage according to the vibration data.
The total damage value accumulated in the air-drop vehicle running stage represents the sum of damage caused by various impacts of the air-drop vehicle in the air-drop process, damage caused by various vibrations of the air-drop vehicle in the running process and damage received in the history.
In the embodiment of the application, the vehicle-mounted system can store the historical damage value after the execution of each airborne mission and the total damage value accumulated in the airborne stage of the airborne vehicle after the execution of the current airborne stage of mission, and can calculate the total damage value accumulated in the current airborne vehicle in the vehicle running stage according to the vibration data, the relevant parameters of the airborne vehicle and the stored historical damage value after the vibration data of the airborne vehicle is obtained based on the steps when the vehicle running mission is executed.
Optionally, an algorithm model may be built in advance, after vibration data of the air-drop vehicle is obtained based on the steps, the vibration data is input into the algorithm model to calculate, and then the total damage value accumulated in the air-drop vehicle running stage is obtained according to the damage value in the air-drop vehicle running stage and the total damage value accumulated in the air-drop vehicle air-drop stage. Optionally, the vehicle-mounted system can also process and analyze the vibration data, and then apply a stress analysis principle to the processed data to calculate and obtain the total damage value accumulated in the air-drop vehicle running stage. For example, MATLAB software can be used to process and analyze the data.
S602, predicting the service life according to the total damage value accumulated in the air-drop vehicle running stage, and determining the residual service life of the air-drop vehicle.
The residual life of the air-drop vehicle comprises the residual life of the air-drop stage and the residual life of the sports car stage.
In the embodiment of the application, the vehicle-mounted system can obtain the average damage value of the sports car and the average damage value of the airborne vehicle in the airborne stage through experiments in advance, and after the total damage value accumulated in the airborne vehicle airborne stage and the total damage value accumulated in the sports car stage are obtained based on the steps, the total damage value and the total damage value accumulated in the airborne vehicle airborne stage can be accumulated according to the airborne stage And calculating the residual service life of the air-drop vehicle according to the total damage value, the total damage value accumulated in the sports car stage, the average damage value of the sports car and the average damage value of the air drop. In particular, the remaining life M of the sports car phase i The calculation can be performed by the following relation (2):
Mi＝G*(1-Dpi)/DEi (2)；
wherein G represents mileage of vehicle in unit damage, D pi Indicating total damage value D accumulated in the vehicle running stage of the air-drop vehicle Ei Indicating the average injury value of the sports car.
Residual life L of airborne phase i The calculation can be performed by the following relation (3):
L i ＝(1-D Pi )/(D Ei +D Fi ) (3)；
wherein D is Fi Indicating the average damage value of the airborne drop.
In the above embodiment, the total damage value accumulated in the sports car stage is determined in this embodiment, and since the total damage value accumulated in the sports car stage can reflect the damage degree of the air-drop vehicle in the sports car stage, the state and performance of the vehicle are evaluated by using the total damage value accumulated in the sports car stage, and corresponding repair and maintenance plans are formulated, so that the safety and reliability of the vehicle can be improved.
In an embodiment, there is further provided a step of determining a total damage value accumulated in a sports stage of the air-drop vehicle, as shown in fig. 8, where "determining a total damage value accumulated in a sports stage of the air-drop vehicle according to vibration data" in the above step S601 may include:
S701, determining a fatigue damage value of the air-drop vehicle according to the vibration data.
The fatigue damage value represents damage caused by various vibrations of the air-drop vehicle in the process of running.
In the embodiment of the application, the vehicle-mounted system can analyze the vibration data of the current sports car stage by using a frame finite element model (such as the finite element model shown in fig. 9) based on the vibration data obtained in the previous step to obtain the transfer function of the frame finite element model, namely the transfer function of the finite element model. And then, carrying out frequency spectrum transformation on the vibration data to obtain a power spectrum density curve, carrying out four-rule operation on the curve and a transfer function to obtain a strain value, and then calculating a fatigue damage value of the air-drop vehicle according to the strain value and the self-related parameters of the air-drop vehicle.
S702, determining the total damage value accumulated in the air-drop vehicle running stage according to the fatigue damage value and the total damage value accumulated in the air-drop vehicle air-drop stage.
In the embodiment of the application, the vehicle-mounted system can accumulate the fatigue damage value and the impact damage value based on the fatigue damage value and the impact damage value of the air-drop vehicle in the sports stage, so as to obtain the total damage value accumulated in the sports stage of the air-drop vehicle.
Specifically, the total damage value D accumulated in the air-drop vehicle running stage T Can be represented by the relation (4):
D T ＝D L +D H (4)；
wherein D is L Is the impact damage value of the airborne stage; d (D) H Is the fatigue damage value (also called high cycle fatigue damage) of the sports car stage.
The embodiment determines the total damage value accumulated in the sports car stage, and the total damage value accumulated in the sports car stage can reflect the damage degree of the air-drop vehicle in the sports car stage, so that the state and the performance of the vehicle are evaluated by using the total damage value accumulated in the sports car stage, and corresponding repair and maintenance plans are formulated, thereby improving the safety and the reliability of the vehicle.
In one embodiment, there is further provided a step of determining a fatigue damage value of the air-drop vehicle, as shown in fig. 10, that is, step S701 "determining a fatigue damage value of the air-drop vehicle according to vibration data" includes:
s801, under the condition that plastic deformation of the air-drop vehicle is determined, updating processing is carried out on a preset strain-service life curve.
Wherein the strain-life curve is used to represent the relationship between strain and life.
In the embodiment of the application, the vehicle-mounted system can obtain the strain amplitude and cycle number data of the corresponding component or member through corresponding experiments in advance, and fit and analyze a plurality of data points to obtain the strain-life curve model. When the vehicle-mounted system determines that the air-drop vehicle is subjected to plastic deformation based on the steps, vibration data are input into a strain-life curve model constructed in advance to be subjected to data updating processing.
For example, as shown in fig. 11 (ordinate of Δε/2 in fig. 11, Δε is total strain amplitude; abscissa of 2N, N is failure cycle number), strain-life curves including one strain curve representing elastic deformation (curve (1) in fig. 11), one strain curve representing plastic deformation (curve (2) in fig. 11), and total strain curve of two curves (curve (3) in fig. 11) can be obtained by an experimental four-point correlation method or a general slope method, and the relationship between the three curves can be expressed by the relational expression (5):
since, the elastic strain curve can be represented by the relation (6):
the plastic strain curve can be represented by the relation (7):
in combination with the above formulas (3) to (5), the total strain curve can be represented by the relation (8):
wherein Δε is the total strain amplitude; delta epsilon e Is the total strain amplitude; delta epsilon p Is the total strain amplitude; epsilon F ' is the fatigue ductility coefficient; sigma (sigma) F ' is the intensity coefficient; e is Young's modulus; n is the failure cycle number; b is the fatigue strength index; c is the fatigue ductility index.
During the sports stage after the landing of the air-drop vehicle, the frame of the air-drop vehicle can bear residual plastic strain generated by landing impact and cyclic load generated by sports vehicle running vibration. While residual plastic strain has a significant impact on life, i.e., tensile average stress is detrimental to fatigue life, compressive average stress is beneficial, so that the strain-life curve can be updated using the average stress effect equation to eliminate the impact of residual plastic strain. The average stress is updated by specifically adopting a Morrow model, and the Morrow model can be represented by a relation (9):
Wherein sigma a Is the stress amplitude; sigma (sigma) m Is the average stress; sigma (sigma) ar Is equivalent full reverse stress amplitude; sigma (sigma) f Is the true breaking strength.
The strain-life curve updated by the Morrow model is represented by the relationship (10):
wherein Δε is the total strain amplitude; epsilon F ' is the fatigue ductility coefficient; sigma (sigma) F ' is the intensity 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, calculating the fatigue damage value of the air-drop vehicle according to the updated strain-life curve.
In the embodiment of the application, the vehicle-mounted system obtains an updated strain-life curve based on the steps, then calculates the strain amplitude according to the vibration data through a corresponding function, determines the cycle times under the strain amplitude through the points on the updated strain-life curve, and calculates the fatigue damage value of the air-drop vehicle at the points according to the cycle times.
In one embodiment, there is further provided a method for determining a fatigue damage value of an air-drop vehicle, that is, step S701 "determining a fatigue damage value of the air-drop vehicle according to the vibration data" includes: and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining the fatigue damage value of the air-drop vehicle according to a preset stress-life curve.
Wherein the stress-lifetime curve is used to represent the relationship between stress and lifetime.
In the embodiment of the application, after the vehicle-mounted system determines that the air-drop vehicle does not have plastic deformation based on the steps, vibration data is calculated through a corresponding function to obtain the amplitude of stress circulation, the circulation times under the amplitude of the stress circulation are determined according to the amplitude of the stress circulation, and the fatigue life of the air-drop vehicle at the point can be obtained by determining the stress-life curve corresponding to the air-drop vehicle material (as shown in fig. 12, the ordinate in fig. 12 is Sut, sut is the limit stress of the air-drop vehicle and is also called as the strength limit; se represents the fatigue limit; and the abscissa is N, N is the failure circulation times), and finally the fatigue damage value of the air-drop vehicle at the point is obtained by dividing the circulation times according to the fatigue life.
In the embodiment, the vehicle-mounted system inputs the acquired vibration data into the model for data updating by constructing the stress-life curve model, so that the residual life of the equipment is predicted more accurately, and maintenance and updating preparation work is done in advance.
In one embodiment, the method for predicting the life of a vehicle provided in the foregoing embodiment further includes: and under the condition that the health degree does not meet the preset condition, determining that the air-drop vehicle has no residual life.
In the embodiment of the application, after the vehicle-mounted system obtains the health degree of the air-drop vehicle based on the steps, whether the health degree meets the preset condition or not can be judged, for example, whether the health degree is within the preset threshold value or not is judged, and when the health degree does not meet the preset condition, the vehicle-mounted system determines that the air-drop vehicle has no residual life, namely, the air-drop vehicle cannot execute the sports car task.
In the above embodiment, the vehicle-mounted system judges whether the health degree meets the preset condition, and terminates the execution of the task when the health degree does not meet the preset condition, thereby avoiding dangerous situations caused by using the air-drop vehicle with the health degree not meeting the preset condition, ensuring the safety of personnel and equipment,
in one example, as shown in fig. 13, the method for predicting the service life of a vehicle provided in the foregoing embodiment further includes:
s901, acquiring a historical accumulated damage value of an air-drop vehicle before the air-drop.
The historical accumulated damage values represent all damage values accumulated in the use process of the air-drop vehicle.
In the embodiment of the application, the vehicle-mounted system can store the accumulated damage value into the data management system in the vehicle-mounted system after each task execution, and the vehicle-mounted system can acquire the historical accumulated damage value of the air-dropped vehicle from the data management system before the next air-dropped.
S902, determining task information of the air-drop vehicle according to the historical accumulated damage value.
The task information is used for representing whether the air-drop vehicle is allowed to execute the air-drop task or not.
In the embodiment of the application, the vehicle-mounted system obtains the historical accumulated damage value based on the steps, can determine the current health degree according to the historical accumulated damage value, then judges whether the health degree is within the preset threshold, allows the air-drop vehicle to execute the air-drop task if the health degree meets the preset condition, and does not allow the air-drop vehicle to execute the air-drop task if the health degree does not meet the preset condition. In this embodiment, the vehicle-mounted system may provide more accurate task assessment and guidance for the air-drop vehicle by acquiring the historical accumulated damage value of the air-drop vehicle, so as to ensure safe and smooth completion of the air-drop task.
In summary, all the above embodiments also provide a vehicle lifetime prediction method, as shown in fig. 14, which includes:
and step 1, acquiring a historical accumulated damage value of the air-dropped vehicle before the air-dropped vehicle.
And step 2, determining task information of the air-drop vehicle according to the historical accumulated damage value, wherein the task information is used for representing whether the air-drop vehicle is allowed to execute the air-drop task.
And step 3, under the condition that the air-drop vehicle is allowed to execute the air-drop task, acquiring impact data of the air-drop vehicle in the landing process.
And step 4, determining whether the air-drop vehicle is subjected to plastic deformation or not according to the impact data.
And 5, under the condition that the air-drop vehicle is determined to generate plastic deformation, determining an impact damage value corresponding to the air-drop according to a preset damage model and impact data.
And 6, determining an impact damage value corresponding to the air drop as a preset value under the condition that the air drop vehicle is determined not to generate plastic deformation.
And 7, determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact damage value corresponding to the current airborne and the accumulated damage value in the historical stage.
And 8, determining the health degree of the air-drop vehicle according to the total damage value.
And 9, under the condition that the health degree does not meet the preset condition, determining that the air-drop vehicle has no residual life.
And step 10, executing an air-drop task under the condition that the health degree accords with the preset condition, and acquiring vibration data of the air-drop vehicle in the sports stage.
And step 11, under the condition that the air-drop vehicle is determined to generate plastic deformation, updating a preset strain-service life curve.
And step 12, calculating the fatigue damage value of the air-drop vehicle according to the updated strain-life curve.
And step 13, determining the fatigue damage value of the air-drop vehicle according to a preset stress-life curve under the condition that the air-drop vehicle is determined not to have plastic deformation.
And step 14, determining the total damage value accumulated in the air-drop vehicle running stage according to the fatigue damage value and the total damage value accumulated in the air-drop stage of the air-drop vehicle. And storing the total damage value accumulated in the vehicle running stage of the air-drop vehicle to indicate the use of the air-drop vehicle in the next air-drop task.
And 15, predicting the service life according to the total damage value accumulated in the vehicle running stage of the air-drop vehicle, and determining the residual service life of the air-drop vehicle.
Step 16, displaying the remaining life of the airborne phase and the remaining life of the sports car phase.
The method of each step is described in the foregoing embodiments, and the detailed description is referred to the foregoing description and is not repeated here.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a vehicle life prediction device for realizing the vehicle life prediction method. The implementation of the solution provided by the device is similar to that described in the above method, so the specific limitations in one or more embodiments of the vehicle life prediction device provided below may be referred to above as limitations on the vehicle life prediction method, and will not be described in detail herein.
In one embodiment, as shown in fig. 15, there is provided a vehicle life prediction apparatus including:
a first acquiring module 11, configured to acquire impact data of an air-drop vehicle during a landing process;
a first determining module 12, configured to determine a health degree of the air-drop vehicle according to the impact data;
the second obtaining module 13 is configured to obtain vibration data of the air-drop vehicle in a vehicle running stage when the health degree meets a preset condition;
and a second determining module 14, configured to perform life prediction according to the vibration data, and determine the remaining life of the air-drop vehicle.
In one embodiment, the first determining module 11 includes:
and the first determining unit is used for determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact data.
And the second determining unit is used for determining the health degree of the air-drop vehicle according to the total damage value.
In one embodiment, the first determining unit includes:
the first determining subunit is used for determining an impact damage value corresponding to the air drop according to the impact data;
and the second determining subunit is used for determining the total damage value accumulated in the air drop stage of the air drop vehicle according to the impact damage value corresponding to the air drop and the accumulated damage value in the history stage.
In one embodiment, the first determining subunit is specifically configured to determine whether the air-drop vehicle is plastically deformed according to the impact data; under the condition that plastic deformation of the air-drop vehicle is determined, determining an impact damage value corresponding to the air-drop according to a preset damage model and impact data; and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining an impact damage value corresponding to the air-drop as a preset value.
In one embodiment, the second determining module 14 includes:
and the third determining unit is used for determining the total damage value accumulated in the air-drop vehicle running stage according to the vibration data.
And the fourth determining unit is used for predicting the service life according to the total damage value accumulated in the vehicle running stage of the air-drop vehicle and determining the residual service life of the air-drop vehicle.
In one embodiment, the third determining unit includes:
and the third determination subunit is used for determining the fatigue damage value of the air-drop vehicle according to the vibration data.
And the fourth determination subunit is used for determining the total damage value accumulated in the air-drop vehicle running stage according to the fatigue damage value and the total damage value accumulated in the air-drop stage of the air-drop vehicle.
In one embodiment, the third determining subunit is specifically configured to update a preset strain-life curve when determining that the air-drop vehicle is plastically deformed; calculating a fatigue damage value of the air-drop vehicle according to the updated strain-life curve; and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining the fatigue damage value of the air-drop vehicle according to a preset stress-life curve.
In one embodiment, the vehicle lifetime prediction apparatus further includes:
and the third determining module is used for determining that the air-drop vehicle has no residual service life under the condition that the health degree does not meet the preset condition.
In one embodiment, the vehicle lifetime prediction apparatus further includes:
a third obtaining module for obtaining historical accumulated damage value of the air-drop vehicle before the air-drop
And the fourth determining module is used for determining task information of the air-drop vehicle according to the historical accumulated damage value. The task information is used for representing whether the air-drop vehicle is allowed to execute the air-drop task or not.
The respective modules in the above-described vehicle life prediction apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or independent of a processor in the electronic device, or may be stored in software in a memory in the electronic device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, an electronic device is provided, which may be a terminal, and an internal structure diagram thereof 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. The processor, the memory and the input/output interface are connected through a 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 configured to provide computing 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 a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the electronic device is used to exchange information between the processor and the external device. The communication interface of the electronic device is used for conducting wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of vehicle life prediction. The display unit of the electronic device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the electronic equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 12 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the electronic device to which the present inventive arrangements are applied, and that a particular electronic device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, an electronic device is provided that includes a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of:
acquiring impact data of the air-drop vehicle in the landing process;
determining the health degree of the air-drop vehicle according to the impact data;
under the condition that the health degree accords with preset conditions, vibration data of the air-drop vehicle in the running stage are obtained;
and predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining a total damage value accumulated in the airborne vehicle airborne stage according to the impact data;
and determining the health degree of the air-drop vehicle according to the total damage value.
In one embodiment, the processor when executing the computer program further performs the steps of:
Determining an impact damage value corresponding to the air drop according to the impact data;
and determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact damage value corresponding to the current airborne and the accumulated damage value in the historical stage.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining whether the air-drop vehicle is subjected to plastic deformation according to the impact data;
under the condition that plastic deformation of the air-drop vehicle is determined, determining an impact damage value corresponding to the air-drop according to a preset damage model and impact data.
In one embodiment, the processor when executing the computer program further performs the steps of:
and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining an impact damage value corresponding to the air-drop as a preset value.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining a total damage value accumulated in the vehicle running stage of the air-drop vehicle according to the vibration data;
and predicting the service life according to the total damage value accumulated in the air-drop vehicle running stage, and determining the residual service life of the air-drop vehicle.
In one embodiment, the processor when executing the computer program further performs the steps of:
Determining a fatigue damage value of the air-drop vehicle according to the vibration data;
and determining the total damage value accumulated in the air-drop vehicle running stage according to the fatigue damage value and the total damage value accumulated in the air-drop vehicle air-drop stage.
In one embodiment, the processor when executing the computer program further performs the steps of:
under the condition that plastic deformation of the air-drop vehicle is determined, updating a preset strain-life curve;
and calculating the fatigue damage value of the air-drop vehicle according to the updated strain-life curve.
In one embodiment, the processor when executing the computer program further performs the steps of:
and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining the fatigue damage value of the air-drop vehicle according to a preset stress-life curve.
In one embodiment, the processor when executing the computer program further performs the steps of:
and under the condition that the health degree does not meet the preset condition, determining that the air-drop vehicle has no residual life.
In one embodiment, the processor when executing the computer program further performs the steps of: before air drop, acquiring a historical accumulated damage value of an air drop vehicle;
and determining task information of the air-drop vehicle according to the historical accumulated damage value, wherein the task information is used for representing whether the air-drop vehicle is allowed to execute the air-drop task.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring impact data of the air-drop vehicle in the landing process;
determining the health degree of the air-drop vehicle according to the impact data;
under the condition that the health degree accords with preset conditions, vibration data of the air-drop vehicle in the running stage are obtained;
and predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a total damage value accumulated in the airborne vehicle airborne stage according to the impact data;
and determining the health degree of the air-drop vehicle according to the total damage value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining an impact damage value corresponding to the air drop according to the impact data;
and determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact damage value corresponding to the current airborne and the accumulated damage value in the historical stage.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining whether the air-drop vehicle is subjected to plastic deformation according to the impact data;
Under the condition that plastic deformation of the air-drop vehicle is determined, determining an impact damage value corresponding to the air-drop according to a preset damage model and impact data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining an impact damage value corresponding to the air-drop as a preset value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a total damage value accumulated in the vehicle running stage of the air-drop vehicle according to the vibration data;
and predicting the service life according to the total damage value accumulated in the air-drop vehicle running stage, and determining the residual service life of the air-drop vehicle.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a fatigue damage value of the air-drop vehicle according to the vibration data;
and determining the total damage value accumulated in the air-drop vehicle running stage according to the fatigue damage value and the total damage value accumulated in the air-drop vehicle air-drop stage.
In one embodiment, the computer program when executed by the processor further performs the steps of:
under the condition that plastic deformation of the air-drop vehicle is determined, updating a preset strain-life curve;
And calculating the fatigue damage value of the air-drop vehicle according to the updated strain-life curve.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining the fatigue damage value of the air-drop vehicle according to a preset stress-life curve.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and under the condition that the health degree does not meet the preset condition, determining that the air-drop vehicle has no residual life.
In one embodiment, the computer program when executed by the processor further performs the steps of:
before air drop, acquiring a historical accumulated damage value of an air drop vehicle;
and determining task information of the air-drop vehicle according to the historical accumulated damage value, wherein the task information is used for representing whether the air-drop vehicle is allowed to execute the air-drop task.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
acquiring impact data of the air-drop vehicle in the landing process;
determining the health degree of the air-drop vehicle according to the impact data;
under the condition that the health degree accords with preset conditions, vibration data of the air-drop vehicle in the running stage are obtained;
And predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a total damage value accumulated in the airborne vehicle airborne stage according to the impact data;
and determining the health degree of the air-drop vehicle according to the total damage value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining an impact damage value corresponding to the air drop according to the impact data;
and determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact damage value corresponding to the current airborne and the accumulated damage value in the historical stage.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining whether the air-drop vehicle is subjected to plastic deformation according to the impact data;
under the condition that plastic deformation of the air-drop vehicle is determined, determining an impact damage value corresponding to the air-drop according to a preset damage model and impact data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining an impact damage value corresponding to the air-drop as a preset value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a total damage value accumulated in the vehicle running stage of the air-drop vehicle according to the vibration data;
and predicting the service life according to the total damage value accumulated in the air-drop vehicle running stage, and determining the residual service life of the air-drop vehicle.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a fatigue damage value of the air-drop vehicle according to the vibration data;
and determining the total damage value accumulated in the air-drop vehicle running stage according to the fatigue damage value and the total damage value accumulated in the air-drop vehicle air-drop stage.
In one embodiment, the computer program when executed by the processor further performs the steps of:
under the condition that plastic deformation of the air-drop vehicle is determined, updating a preset strain-life curve;
and calculating the fatigue damage value of the air-drop vehicle according to the updated strain-life curve.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and under the condition that the air-drop vehicle is determined not to have plastic deformation, determining the fatigue damage value of the air-drop vehicle according to a preset stress-life curve.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and under the condition that the health degree does not meet the preset condition, determining that the air-drop vehicle has no residual life.
In one embodiment, the computer program when executed by the processor further performs the steps of:
before air drop, acquiring a historical accumulated damage value of an air drop vehicle;
and determining task information of the air-drop vehicle according to the historical accumulated damage value, wherein the task information is used for representing whether the air-drop vehicle is allowed to execute the air-drop task.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims (15)

1. A vehicle life prediction method, characterized in that the method comprises:
acquiring impact data of the air-drop vehicle in the landing process;
determining the health degree of the air-drop vehicle according to the impact data;
under the condition that the health degree accords with a preset condition, vibration data of the air-drop vehicle in a vehicle running stage are obtained;
and predicting the service life according to the vibration data, and determining the residual service life of the air-drop vehicle.
2. The vehicle life prediction method according to claim 1, wherein the determining the health degree of the air-drop vehicle from the impact data includes:
determining a total damage value accumulated in the airborne vehicle airborne stage according to the impact data;
and determining the health degree of the air-drop vehicle according to the total damage value.
3. The vehicle life prediction method according to claim 2, wherein the determining the total damage value accumulated in the airborne vehicle airborne phase from the impact data includes:
determining an impact damage value corresponding to the air drop according to the impact data;
and determining the total damage value accumulated in the airborne vehicle airborne stage according to the impact damage value corresponding to the current airborne and the accumulated damage value in the historical stage.
4. The method for predicting the life of a vehicle according to claim 3, wherein determining the impact damage value corresponding to the air drop according to the impact data comprises:
determining whether the air-drop vehicle is subjected to plastic deformation according to the impact data;
and under the condition that the air-drop vehicle is determined to generate plastic deformation, determining an impact damage value corresponding to the air-drop according to a preset damage model and the impact data.
5. The vehicle life prediction method according to claim 4, characterized in that the method further comprises:
and under the condition that the air-drop vehicle is not subjected to plastic deformation, determining an impact damage value corresponding to the current air-drop as a preset value.
6. The vehicle life prediction method according to claim 3, wherein the determining the remaining life of the air-drop vehicle by performing life prediction based on the vibration data includes:
determining the total damage value accumulated in the air-drop vehicle running stage according to the vibration data;
and predicting the service life according to the total damage value accumulated in the air-drop vehicle running stage, and determining the residual service life of the air-drop vehicle.
7. The vehicle life prediction method according to claim 6, wherein the determining the total damage value accumulated in the air-drop vehicle sports stage from the vibration data includes:
determining a fatigue damage value of the air-drop vehicle according to the vibration data;
and determining the total damage value accumulated in the air-drop vehicle running stage according to the fatigue damage value and the total damage value accumulated in the air-drop vehicle air-drop stage.
8. The vehicle life prediction method according to claim 7, characterized in that the determining the fatigue damage value of the air-drop vehicle from the vibration data includes:
Under the condition that the air-drop vehicle is determined to generate plastic deformation, updating a preset strain-service life curve;
and calculating the fatigue damage value of the air-drop vehicle according to the updated strain-life curve.
9. The vehicle life prediction method according to claim 7, characterized in that the determining the fatigue damage value of the air-drop vehicle from the vibration data includes:
and under the condition that the air-drop vehicle is not subjected to plastic deformation, determining the fatigue damage value of the air-drop vehicle according to a preset stress-life curve.
10. The vehicle life prediction method according to any one of claims 1 to 9, characterized in that the method further comprises:
and under the condition that the health degree does not accord with the preset condition, determining that the air-drop vehicle has no residual life.
11. The vehicle life prediction method according to claim 1, characterized in that the method further comprises:
before air drop, acquiring a historical accumulated damage value of the air drop vehicle;
and determining task information of the air-drop vehicle according to the historical accumulated damage value, wherein the task information is used for representing whether the air-drop vehicle is allowed to execute an air-drop task.
12. A vehicle life prediction apparatus, characterized by comprising:
the first acquisition module is used for acquiring impact data of the air-drop vehicle in the landing process;
the first determining module is used for determining the health degree of the air-drop vehicle according to the impact data;
the second acquisition module is used for acquiring vibration data of the air-drop vehicle in the vehicle running stage under the condition that the health degree accords with a preset condition;
and the second determining module is used for predicting the service life according to the vibration data and determining the residual service life of the air-drop vehicle.
13. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 11 when the computer program is executed.
14. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 11.
15. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any one of claims 1 to 11.
CN202310884584.2A 2023-07-18 2023-07-18 Vehicle life prediction method, apparatus, device, storage medium, and program product Pending CN116663327A (en)

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