Complex environment vehicle adaptability quantitative evaluation method based on acceleration test

Abstract

A complex environment vehicle adaptability quantitative evaluation method based on an acceleration test is applied to a damp and hot marine natural environment and comprises the following steps that a test environment is set, a dynamic and static test is carried out in the test environment, and saline water is sprayed in the dynamic acceleration test process; acquiring environmental factor data, total test duration t2 and a sample piece state of the static test; vibration data, environmental factor data, running mileage, saline water spraying concentration alpha, duration b, frequency c and flow d, total test duration t1 and sample piece state of the dynamic acceleration test are obtained; constructing an adaptive quantitative evaluation model, including quantitative evaluation of an acceleration test model, quantitative evaluation of a natural environment test model and adaptive quantitative evaluation, for testing the environmental adaptability of the sample piece in the natural environment and evaluating whether the sample piece meets the full life cycle requirement; parts with poor environmental adaptability can be improved or maintained in a targeted mode, the reliability of the vehicle is improved, and the service life of the vehicle is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle environmental adaptability assessment, and in particular to a quantitative assessment method for vehicle adaptability in complex environments based on an acceleration test. Background Art

[0002] In the humid and hot marine environment, military vehicles face complex environmental challenges such as high humidity, salt spray, and high temperatures. These factors can cause corrosion and aging of vehicle components, impacting their performance and service life. Currently, most assessment methods for vehicle environmental adaptability are qualitative and lack a quantitative assessment of the degree to which components are affected by these environmental factors. This makes it difficult to quickly and accurately reflect a vehicle's true performance and service life in complex environments.

[0003] For example, the patent document disclosed as CN116663327A specifically discloses a vehicle life prediction method, device, equipment, storage medium, and program product. This method obtains impact data of an airdrop vehicle during landing, then determines the health of the airdrop vehicle based on the impact data. If the health meets preset conditions, the vibration data of the airdrop vehicle during the running phase is obtained. Finally, the life prediction is performed based on the vibration data to determine the remaining life of the airdrop vehicle. This method predicts the life of the airdrop vehicle based on the impact data and vibration data. By analyzing and synthesizing different data at different stages, the prediction accuracy of the airdrop vehicle life can be improved. It uses a qualitative method for evaluation and has a highly targeted application scenario. It is not suitable for military vehicles in the humid and hot marine environment.

[0004] Therefore, there is an urgent need to design a quantitative assessment method for the degree to which key components of military vehicles are affected by environmental factors in a humid and hot marine environment, so as to provide a scientific basis for vehicle maintenance and improvement. Summary of the Invention

[0005] To solve the above technical problems, the present application provides a quantitative assessment method for vehicle adaptability in complex environments based on an accelerated test, which is applied to a humid and hot marine natural environment and includes the following steps:

[0006] Setting a test environment, and conducting dynamic and static tests in the test environment, wherein the dynamic and static tests include a static test and a dynamic acceleration test, and salt water spraying is performed during the dynamic acceleration test;

[0007] Obtain environmental factor data, total test duration t2, and sample status for static tests; obtain vibration data, environmental factor data, mileage, salt water spray concentration α, duration b, number of times c, and flow rate d, total test duration t1, and sample status for dynamic acceleration tests;

[0008] Constructing an adaptability quantitative evaluation model, which is used to test the environmental adaptability of the sample in a natural environment and evaluate whether the sample meets the full life cycle requirements, including quantitative evaluation of the accelerated test model, quantitative evaluation of the natural environment test model, and quantitative evaluation of adaptability;

[0009] The quantitative evaluation of the accelerated test model refers to: the input is the total test time t1, the salt water spray concentration α, the spraying time b, the number of spraying c and the spraying flow rate d, and the output is the corrosion rate P1 and the scratch extension rate P2 of the sample;

[0010] The quantitative evaluation of the natural environment test model refers to: the input is the total test time t2, and the output is the corrosion rate P3 and the scratch extension rate P4 of the sample;

[0011] Among them, when the corrosion rate P1 and scratch extension rate P2 are the same as the corrosion rate P3 and scratch extension rate P4 of the same sample, the adaptability quantitative evaluation is adopted; the adaptability quantitative evaluation refers to: the ratio between the total test time t1 of the output acceleration test and the total test time t2 of the static test of the same sample under different salt water spraying concentrations α, spraying time b, spraying times c and spraying flow rates d.

[0012] Furthermore, the calculation formula used for the quantitative evaluation of the accelerated test model is expressed as: P1(P2)=f(a, b, c, d)f(t1), where f is a quantitative evaluation function.

[0013] Furthermore, the calculation formula used for the quantitative evaluation of the natural environment test model is expressed as: P3(P4)=f(t2).

[0014] Furthermore, the calculation formula used in the quantitative evaluation of adaptability is expressed as:

[0015] f(a, b, c, d)f(t1)=f(t2).

[0016] Furthermore, the test environment includes a support frame and a prototype vehicle equipped with the same samples in the same humid and hot marine natural environment, corrosion sensors are installed on the samples, scratches are set on some of the same samples, vibration sensors are set next to the samples on the prototype vehicle, and temperature sensors and humidity sensors are set on both the prototype vehicle and the support frame.

[0017] Furthermore, the environmental factor data includes the humidity and temperature monitored on the sample vehicle and the humidity, temperature and wind speed monitored on the support frame.

[0018] Furthermore, the temperature sensor and humidity sensor are arranged on the cockpit, power compartment and door of the prototype vehicle.

[0019] Furthermore, the sample parts are arranged on the top, left side, right side, rear and front end of the sample vehicle.

[0020] Furthermore, the data monitored and recorded by the temperature sensor, humidity sensor and vibration sensor are read by a data recording device fixedly installed in the cab of the prototype vehicle.

[0021] Furthermore, the dynamic and static tests are specifically as follows:

[0022] Conducting a static test on the support frame, monitoring and recording the environmental factor data through the temperature sensor and humidity sensor, and recording the total test time t2 and the sample status;

[0023] A dynamic acceleration test is conducted on the prototype vehicle. The prototype vehicle is driven for a fixed time while being sprayed with salt water. The vibration data, environmental factor data, and mileage are monitored and recorded by the temperature sensor, humidity sensor, and vibration sensor. The concentration α, duration b, number of times c, and flow rate d of the salt water spraying, as well as the total test duration t1 and the status of the prototype are also recorded.

[0024] The beneficial effects of the present invention are: by real-time monitoring of environmental factors, quantifying accelerated testing methods, and combining quantitative testing and comparison of sample status, a scientific and reasonable quantitative evaluation model is constructed, which can accurately evaluate the environmental adaptability and service life of vehicle components in the humid and hot marine natural environment. This quantitative evaluation enables accelerated quantitative testing of the degree to which vehicle components are affected by environmental factors, improving the accuracy and scientific nature of the evaluation. By real-time monitoring of environmental factors, changes in the environmental adaptability of components can be rapidly reflected in both dynamic and static modes, allowing potential problems to be identified in a timely manner. Based on the evaluation results, components with poor environmental adaptability can be targeted for improvement or maintenance, thereby improving the reliability and service life of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of a method for quantitatively evaluating vehicle adaptability in complex environments based on an acceleration test according to an embodiment of the present invention;

[0026] Figure 2 This is a schematic diagram of the data flow of environmental factor monitoring of a prototype vehicle according to an embodiment of the present invention;

[0027] Figure 3 Schematic diagram of sample arrangement of an embodiment of the present invention;

[0028] Figure 4 1 is a schematic diagram of the ratio between the total test duration t1 of the accelerated test and the total test duration t2 of the static test according to an embodiment of the present invention;

[0029] Figure 5 This is a structural diagram of the adaptability quantitative evaluation model according to an embodiment of the present invention;

[0030] Figure 6 This is a flow chart of the accelerated test of samples according to an embodiment of the present invention;

[0031] Figure 7 This is a flow chart of the static test of the sample in the natural environment of the embodiment of the present invention. DETAILED DESCRIPTION

[0032] The technical solution of the present invention is further described below, but the scope of protection claimed is not limited to the description.

[0033] The embodiment of the present invention provides a quantitative evaluation method for vehicle adaptability in complex environments based on acceleration tests, such as Figure 1 As shown, it is applied to the humid and hot marine natural environment, including the following steps:

[0034] Step S100 , setting a test environment, carrying out dynamic and static tests in the test environment, wherein the dynamic and static tests include a static test and a dynamic acceleration test, and salt water spraying is performed during the dynamic acceleration test; and recording the initial date.

[0035] The test environment includes a support frame and a sample vehicle equipped with the same sample in the same hot and humid marine natural environment, a corrosion sensor is installed on the sample, scratches are set on some of the same samples, a vibration sensor is set next to the sample on the sample vehicle, and a temperature sensor and a humidity sensor are set on the sample vehicle and the support frame.

[0036] The layout rules of the temperature sensor and humidity sensor are as follows Figure 2 As shown, it is set on the cockpit, power compartment and door of the prototype vehicle.

[0037] The layout rules of the sample are as follows Figure 3 As shown, it is set on the top of the prototype vehicle, the left side of the prototype vehicle, the right side of the prototype vehicle, the rear of the prototype vehicle and the front end of the prototype vehicle.

[0038] The layout rules of the vibration sensor are as follows Figure 2 As shown, it is arranged next to the center of mass of the sample vehicle, on the vehicle body deck, next to the bracket assembly, next to the display device, next to the installation device, next to the connector and next to the transmission device.

[0039] The specific process of the dynamic and static test is as follows Figure 7 Shown, including:

[0040] Conducting a static test on the support frame, monitoring and recording the environmental factor data through the temperature sensor and humidity sensor, and recording the total test time t2 and the sample status;

[0041] The dynamic acceleration test process is carried out on the prototype vehicle as follows: Figure 6As shown, the prototype vehicle is driven at a fixed time and salt water is sprayed on the prototype vehicle at the same time. The vibration data, environmental factor data and mileage are monitored and recorded by the temperature sensor, humidity sensor and vibration sensor. At the same time, the concentration α, duration b, number of times c and flow rate d of the salt water spraying, as well as the total test duration t1 and the status of the prototype are recorded.

[0042] The data monitored and recorded by the temperature sensor, humidity sensor, and vibration sensor are read by a data recording device fixedly installed in the cab of the prototype vehicle. A fixed collection time is set in the data collection modules of the temperature sensor, humidity sensor, and vibration sensor to ensure the timeliness and continuity of the data.

[0043] Step S200: Obtain environmental factor data, total test duration t2, and sample status for the static test; obtain vibration data, environmental factor data, mileage, salt water spray concentration α, duration b, number of times c, and flow rate d, total test duration t1, and sample status for the dynamic acceleration test;

[0044] The status of the sample is obtained by regularly performing appearance inspection and rust degree inspection on the sample. The appearance inspection is to inspect the macro defects of the sample by visual inspection or with the help of tools such as a magnifying glass, including surface rust, deformation and cracks of the sample; the rust degree inspection includes corrosion rate inspection and elongation inspection; the corrosion rate inspection is to regularly read the data of the corrosion sensor installed on the sample and keep records for later statistical analysis of the changing trend of the corrosion rate; the elongation inspection is to regularly inspect the scratches on the sample by visual inspection or with the help of tools such as a magnifying glass to check the elongation and keep records, which is related to the later statistical analysis of the changing trend of the elongation.

[0045] The environmental factor data includes the humidity and temperature monitored on the sample vehicle and the humidity, temperature and wind speed monitored on the support frame.

[0046] Step S300: construct an adaptability quantitative evaluation model. The structure of the adaptability quantitative evaluation model is as follows: Figure 5 As shown, the adaptability quantitative evaluation model is used to test the environmental adaptability of the sample in the natural environment and to evaluate whether the sample meets the full life cycle requirements, including quantitative evaluation of the accelerated test model, quantitative evaluation of the natural environment test model and quantitative evaluation of adaptability.

[0047] The quantitative evaluation model is constructed using a machine learning algorithm or empirical formula. The model is trained and verified using a large amount of experimental data to ensure its accuracy and reliability.

[0048] The quantitative evaluation of the accelerated test model refers to: the input is the total test time t1, the salt water spray concentration α, the spraying time b, the number of spraying c and the spraying flow rate d, and the output is the corrosion rate P1 and the scratch extension rate P2 of the sample;

[0049] The calculation formula used for the quantitative evaluation of the accelerated test model is expressed as:

[0050] P1(P2)=f(a,b,c,d)f(t1) (1)

[0051] Where, f is the quantitative evaluation function;

[0052] The quantitative evaluation of the natural environment test model refers to: the input is the total test time t2, and the output is the corrosion rate P3 and the scratch extension rate P4 of the sample;

[0053] The calculation formula used for the quantitative evaluation of the natural environment test model is expressed as:

[0054] P3(P4)=f(t2) (2)

[0055] Among them, when the corrosion rate P1 and scratch extension rate P2 of the same sample are the same as the corrosion rate P3 and scratch extension rate P4, the adaptability quantitative evaluation is adopted; the adaptability quantitative evaluation refers to: the ratio relationship between the total test time t1 of the output acceleration test and the total test time t2 of the static test under different salt water spraying concentration α, spraying time b, spraying number c and spraying flow rate d of the same sample. The ratio relationship between t1 and t2 is shown in the figure below. Figure 4 shown.

[0056] The calculation formula used in the quantitative evaluation of adaptability is expressed as:

[0057] f(a,b,c,d)f(t1)=f(t2) (3)

[0058] In this embodiment, the analysis and application of the quantitative evaluation method for vehicle adaptability in complex environments based on acceleration testing are provided:

[0059] Based on the quantitative assessment method, test and analyze the environmental adaptability of prototypes or typical vehicle components. Set a service life value for the prototype or in-service vehicle, and conduct environmental adaptability tests on typical components or prototypes using accelerated testing methods. Comparative analysis of test data indicates that if the prototype data does not meet the equipment's service life value, the component's environmental adaptability is poor, requiring improved design or enhanced maintenance.

[0060] For typical components with poor environmental adaptability, corresponding improvement measures or maintenance suggestions are proposed. For example, for severely corroded metal components, anti-corrosion coatings can be applied, more corrosion-resistant materials can be selected, or the component's structural design can be optimized. For components prone to severe aging, materials more resistant to environmental factors can be replaced or special surface treatments can be performed.

[0061] Feedback the evaluation results and improvement measures to the equipment maintenance department or personnel to guide the daily maintenance and improvement of the vehicle, and improve the reliability and service life of the vehicle equipment in the humid and hot marine environment.

[0062] When a certain equipment vehicle needs to serve on an island or reef near the sea for 10 years before undergoing major maintenance, its typical components need to be analyzed for environmental adaptability to verify their ability to resist high temperature, high humidity, and high salt spray.

[0063] During the trial production stage, samples of typical equipment parts are made, with an emphasis on parts that are exposed to the outside and difficult to paint, such as connecting shafts, pins, mating surfaces, etc.

[0064] In order to simulate the service environment of a certain equipment, an environmental adaptability simulation test was carried out on a prototype vehicle at a seaside test site. Humidity sensors, temperature sensors, and vibration sensors were installed on the prototype vehicle. The vehicle was properly run regularly and data was collected every few hours. After several months or a year of monitoring, the real-time data and monthly average data of humidity, temperature, and vibration were recorded.

[0065] Corrosion sensors were installed on some typical component samples, and scratches were applied to some of them. Based on the quantitative evaluation formula f(a, b, c, d) f(t1) = f(t2), the service life and the required total duration of the accelerated test were determined, along with the accumulated data from the accelerated test. The concentration, duration, number of sprays, and flow rate of the salt water sprayed on the sample were determined and recorded. The corrosion rate and scratch extension rate of the sample were regularly tested and recorded.

[0066] Under the condition that the service environment of the equipment is similar to that of the accelerated test, the collected environmental factor monitoring data and component sample status detection data will be collected and counted. After the total duration of the accelerated test is completed, the detection data of typical component samples will be analyzed, such as: whether the corrosion rate, elongation and appearance inspection results meet the use requirements, and whether the environmental adaptability meets the requirements.

[0067] Based on the evaluation results of sample test data, including corrosion rate and ductility, the environmental adaptability of typical equipment components in service can be determined, and weak links can be identified. If the requirements are not met, the three-proof capabilities of the components can be improved through improvements in material, surface treatment, surface plating, surface coating, or design structure and process. If difficulties remain after these measures, the overall protection capabilities of the equipment can be improved through routine maintenance. The evaluation results and improvement measures will be fed back to the equipment design and maintenance departments to guide vehicle maintenance and improvement work.

[0068] The present invention provides a quantitative assessment method for vehicle adaptability in complex environments based on acceleration testing. By comparing quantitative detection of acceleration tests with natural environment tests, a scientific and rational quantitative assessment model is constructed. Data related to acceleration test conditions of varying total durations are collected through the experiments. Through the accumulation of a large number of acceleration condition parameters, such as brine concentration, spray duration, number of water sprays, and water spray flow rate, this method can accurately assess the environmental adaptability and life cycle of vehicle samples in high-temperature, high-humidity, and high-salt natural environments in a relatively short period of time, identifying weak links. This method offers advantages such as dynamic and static quantitative assessment, real-time monitoring, and targeted improvements. It provides a scientific basis for vehicle maintenance and improvement and has broad application prospects.

[0069] The above disclosure is only a specific embodiment of the present invention, but the present invention is not limited thereto. Any changes that can be conceived by those skilled in the art should fall within the scope of protection of the present invention.

Claims

1. A quantitative evaluation method for vehicle adaptability in complex environments based on accelerated testing, characterized in that: Applied to the humid and hot marine natural environment, the process includes the following steps: Setting a test environment, and conducting dynamic and static tests in the test environment, wherein the dynamic and static tests include a static test and a dynamic acceleration test, and salt water spraying is performed during the dynamic acceleration test; Obtain environmental factor data, total test duration t2, and sample status for static tests; obtain vibration data, environmental factor data, mileage, salt water spray concentration α, duration b, number of times c, and flow rate d, total test duration t1, and sample status for dynamic acceleration tests; Constructing an adaptability quantitative evaluation model, which is used to test the environmental adaptability of the sample in a natural environment and evaluate whether the sample meets the full life cycle requirements, including quantitative evaluation of the accelerated test model, quantitative evaluation of the natural environment test model, and quantitative evaluation of adaptability; The quantitative evaluation of the accelerated test model refers to: the input is the total test time t1, the salt water spray concentration α, the spraying time b, the number of spraying c and the spraying flow rate d, and the output is the corrosion rate P1 and the scratch extension rate P2 of the sample; The quantitative evaluation of the natural environment test model refers to: the input is the total test time t2, and the output is the corrosion rate P3 and the scratch extension rate P4 of the sample; Among them, when the corrosion rate P1 and scratch extension rate P2 are the same as the corrosion rate P3 and scratch extension rate P4 of the same sample, the adaptability quantitative evaluation is adopted; the adaptability quantitative evaluation refers to: the ratio between the total test time t1 of the output acceleration test and the total test time t2 of the static test of the same sample under different salt water spraying concentrations α, spraying time b, spraying times c and spraying flow rates d.

2. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 1, characterized in that: The calculation formula used for the quantitative evaluation of the accelerated test model is expressed as: P1(P2)=f(a, b, c, d)f(t1), where f is a quantitative evaluation function.

3. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 2, characterized in that: The calculation formula used for the quantitative evaluation of the natural environment test model is expressed as: P3(P4)=f(t2).

4. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 3, characterized in that: The calculation formula used in the quantitative evaluation of adaptability is expressed as: f(a, b, c, d)f(t1)=f(t2).

5. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 1, characterized in that: The test environment includes a support frame and a sample vehicle equipped with the same sample in the same hot and humid marine natural environment, a corrosion sensor is installed on the sample, scratches are set on some of the same samples, a vibration sensor is set next to the sample on the sample vehicle, and temperature sensors and humidity sensors are set on both the sample vehicle and the support frame.

6. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 5, characterized in that: The environmental factor data include the humidity and temperature monitored on the sample vehicle and the humidity, temperature and wind speed monitored on the support frame.

7. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 6, characterized in that: The temperature sensor and humidity sensor are arranged on the cockpit, power compartment and door of the prototype vehicle.

8. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 7, characterized in that: The sample parts are arranged on the top, left side, right side, rear and front end of the sample vehicle.

9. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 8, characterized in that: The data monitored and recorded by the temperature sensor, humidity sensor and vibration sensor are read by a data recording device fixedly installed in the cab of the prototype vehicle.

10. The method for quantitatively evaluating vehicle adaptability in complex environments based on acceleration testing according to claim 9, characterized in that: The dynamic and static tests are specifically as follows: Conducting a static test on the support frame, monitoring and recording the environmental factor data through the temperature sensor and humidity sensor, and recording the total test time t2 and the sample status; A dynamic acceleration test is conducted on the prototype vehicle. The prototype vehicle is driven for a fixed time while being sprayed with salt water. The vibration data, environmental factor data, and mileage are monitored and recorded by the temperature sensor, humidity sensor, and vibration sensor. The concentration α, duration b, number of times c, and flow rate d of the salt water spraying, as well as the total test duration t1 and the status of the prototype are also recorded.

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