Vehicle corrosion detection method, electronic equipment and storage medium

Abstract

The invention provides a vehicle corrosion detection method, electronic equipment and a storage medium. The method comprises the following steps: acquiring monitoring data of a corrosion monitoring area in a vehicle; determining the current mass loss of the corrosion monitoring area according to the monitoring data; a corrosion detection result of the vehicle is determined based on a comparison of the current mass loss to a standard mass loss. By using the method, whether the corrosion of the vehicle is abnormal can be accurately detected.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular, to a vehicle corrosion detection method, electronic equipment and storage medium. Background Art

[0002] The safety performance and service life of vehicles are directly related to driving safety. However, the corrosion problem faced by vehicles is becoming increasingly prominent. The corrosion process will gradually erode the surface protective layer of the vehicle's metal parts and then penetrate into the internal structure, resulting in weakened component strength and performance degradation.

[0003] If the corrosion condition of the vehicle cannot be accurately detected, it will not only accelerate the aging process of the vehicle, but may also affect driving safety due to the sudden failure of metal parts. Summary of the invention

[0004] The present application discloses a vehicle corrosion detection method, electronic equipment and storage medium, which can solve the technical problem of difficulty in accurately detecting the corrosion condition of a vehicle.

[0005] On the one hand, the present application provides a vehicle corrosion detection method, which includes: obtaining monitoring data of a corrosion monitoring area in a vehicle, determining a current mass loss of the corrosion monitoring area based on the monitoring data, and determining a corrosion detection result of the vehicle based on a comparison between the current mass loss and a standard mass loss.

[0006] In some embodiments of the present application, the monitoring data includes a stone chip corrosion image of a corrosion test piece in the corrosion monitoring area, and determining the current mass loss of the corrosion monitoring area based on the monitoring data includes: detecting the stone chip corrosion area in the stone chip corrosion image, calculating the area of ​​the stone chip corrosion area, and determining the current mass loss based on a preset stone chip corrosion depth, the area of ​​the area and the property parameters of the corrosion test piece.

[0007] In some embodiments of the present application, the monitoring data includes environmental monitoring data, and determining the current mass loss of the corrosion area based on the monitoring data includes: calculating a plurality of electrochemical parameters according to the environmental monitoring data, calculating the corrosion depth of the corrosion specimen according to the plurality of electrochemical parameters, and determining the current mass loss according to the corrosion depth and the property parameters of the corrosion specimen in the corrosion monitoring area.

[0008] In some embodiments of the present application, the environmental monitoring data includes temperature, relative humidity and salt spray deposition rate, and the multiple electrochemical parameters include electrolyte conductivity, electrolyte film thickness, equilibrium concentration of salt solution, oxygen limiting current density, liquid film oxygen diffusion coefficient, liquid film oxygen concentration, liquid film oxygen diffusion rate and liquid film oxygen dissolution rate. The calculation of multiple electrochemical parameters based on the environmental monitoring data includes: determining the electrolyte conductivity and the liquid film oxygen dissolution rate based on the relative humidity, determining the equilibrium concentration of the salt solution based on the temperature and the relative humidity, determining the electrolyte film thickness based on the temperature, the relative humidity and the salt spray deposition rate, determining the liquid film oxygen diffusion coefficient based on the equilibrium concentration of the salt solution, and determining the liquid film oxygen concentration based on the temperature and the equilibrium concentration of the salt solution, determining the liquid film oxygen diffusion rate based on the liquid film oxygen concentration, the liquid film oxygen diffusion coefficient and the electrolyte film thickness, and determining the oxygen limiting current density based on the liquid film oxygen diffusion rate, the liquid film oxygen dissolution rate and the electrolyte film thickness.

[0009] In some embodiments of the present application, the method further includes: determining the corrosion detection result based on a comparison between the current corrosion depth and a standard corrosion depth.

[0010] In some embodiments of the present application, the current mass loss and the standard mass loss both have corresponding time points, and determining the corrosion detection result of the vehicle based on the comparison between the current mass loss and the standard mass loss includes: fitting a standard curve composed of standard mass losses corresponding to multiple time points, and fitting an actual curve composed of current mass losses corresponding to multiple time points; if the slope of the actual curve is greater than the slope of the standard curve, determining that the corrosion detection result is that the corrosion condition of the vehicle is abnormal; if the slope of the actual curve is less than or equal to the slope of the standard curve, determining that the corrosion detection result is that the corrosion condition of the vehicle is normal.

[0011] In some embodiments of the present application, determining the corrosion detection result of the vehicle based on the comparison of the current mass loss with the standard mass loss includes: if the current mass loss is greater than the standard mass loss, determining that the corrosion detection result is abnormal, and if the current mass loss is less than or equal to the standard mass loss, determining that the corrosion detection result is normal.

[0012] In some embodiments of the present application, the method also includes: if the corrosion detection result shows that the corrosion condition of the vehicle is abnormal, generating a prompt message, wherein the prompt message is used to prompt that the vehicle is at risk of corrosion or to prompt maintenance of the vehicle, and sending the prompt message to the user's terminal device, or displaying the prompt message using a display device connected to the vehicle.

[0013] On the other hand, the present application provides an electronic device, comprising: a memory storing at least one instruction; and a processor executing the at least one instruction to implement the vehicle corrosion detection method.

[0014] On the other hand, the present application provides a computer-readable storage medium, wherein at least one instruction is stored in the computer-readable storage medium, and when the at least one instruction is executed by a processor in an electronic device, the vehicle corrosion detection method is implemented. In the vehicle corrosion detection solution provided in the embodiment of the present application, since the corrosion monitoring area is located in the vehicle, the monitoring data of the corrosion monitoring area can truly reflect the corrosion situation and corrosion environment of the corrosion monitoring area, so the current mass loss of the corrosion monitoring area can be accurately determined through the monitoring data. Since the standard mass loss can provide an accurate reference, by comparing the accurate current mass loss with the standard mass loss, it is possible to accurately detect whether the corrosion of the vehicle is abnormal. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of a vehicle corrosion detection method provided in one embodiment of the present application.

[0016] Figure 2 This is a flow chart of a method for determining current quality loss provided by an embodiment of the present application.

[0017] Figure 3 This is a flow chart of a method for determining current quality loss provided by another embodiment of the present application.

[0018] Figure 4 It is a schematic diagram of the variation of corrosion depth over time provided by some embodiments of the present application.

[0019] Figure 5 This is a flow chart of a method for determining corrosion detection results provided in one embodiment of the present application.

[0020] Figure 6 It is a schematic diagram of the structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0021] It should be noted that in this application, "at least one" means one or more, and "more than one" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The terms "first", "second", "third", "fourth", etc. (if any) in the specification, claims and drawings of this application are used to distinguish similar objects, rather than to describe a specific order or sequence.

[0022] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way. The following embodiments and features in the embodiments may be combined with each other without conflict.

[0023] An embodiment of the present application provides a vehicle corrosion detection method that can accurately detect whether the corrosion of the vehicle is abnormal.

[0024] The vehicle corrosion detection method provided in the embodiments of the present application can be applied to one or more electronic devices, which may be vehicle-mounted devices, computers, mobile phones, laptop computers, servers and other devices, wherein the server may be a cloud server or a server cluster. The present application does not limit the type of electronic device.

[0025] like Figure 1 FIG. 1 is a flow chart of a vehicle corrosion detection method provided by an embodiment of the present application. According to different requirements, the order of each step in the flow chart can be adjusted according to actual requirements, and some steps can be omitted. The method is applied to electronic devices, such as Figure 6 The electronic device 10 shown. The vehicle corrosion detection method comprises the following steps: S11, obtaining monitoring data of the corrosion monitoring area in the vehicle.

[0026] In some embodiments of the present application, the corrosion monitoring area may be one or more, and the present application does not limit this. Exemplarily, the corrosion monitoring area may include the front, side, top, bottom, etc. of the vehicle. A corrosion test piece may be placed in the corrosion monitoring area, wherein the corrosion test piece may be a hanging piece. The present application does not limit the material type of the corrosion test piece. For example, the material of the corrosion test piece may be metal.

[0027] The monitoring data may include environmental monitoring data and / or operating corrosion data, wherein the environmental monitoring data may be obtained by monitoring the environment of the vehicle, and the operating corrosion data may be obtained by monitoring the corrosion conditions under various operating conditions during the use of the vehicle. The environmental monitoring data includes, but is not limited to, temperature, relative humidity, and salt spray deposition rate. The operating corrosion data may be a stone impact corrosion image of a corrosion test piece.

[0028] In some embodiments of the present application, the electronic device may obtain monitoring data of the corrosion monitoring area through a variety of methods, and the present application does not limit the method for obtaining the monitoring data.

[0029] Exemplarily, the electronic device can monitor the corrosion monitoring area through a sensor to obtain monitoring data. For example, the electronic device can monitor the corrosion monitoring area through a temperature sensor to obtain the temperature of the corrosion monitoring area, and monitor the corrosion monitoring area through a humidity sensor to obtain the relative humidity of the corrosion monitoring area. The salt spray precipitation on the corrosion test piece is analyzed by conductivity method, ion chromatography, atomic absorption method and other methods to obtain the salt spray precipitation rate of the corrosion monitoring area. The corrosion monitoring area is photographed by a visual sensor to obtain a stone impact corrosion image.

[0030] The temperature sensor includes, but is not limited to, a thermocouple, a thermistor, a semiconductor temperature sensor, and a digital temperature sensor. The humidity sensor may be a capacitive sensor or a resistive sensor. The visual sensor may be a camera, a still camera, etc. This application does not limit the types of the temperature sensor, the humidity sensor, and the visual sensor.

[0031] The above examples of methods for acquiring monitoring data are only examples and are not limited thereto in practical applications. For example, the electronic device can read data under a preset path as monitoring data. The preset path can be a local storage location of the electronic device or a storage location of an external device that is communicatively connected to the electronic device.

[0032] In some embodiments of the present application, the monitoring data may be data accumulated within a preset time period, or data corresponding to a preset moment, wherein the preset time period and preset moment may be customized, and the present application does not impose any restrictions on this.

[0033] Considering the complex and diverse driving environment of the vehicle (for example, an unpaved gravel road) and the parking environment (for example, a humid parking lot), the environmental monitoring data such as the temperature and humidity inside the vehicle are quite different from the meteorological data released by the Meteorological Bureau. Taking the bottom of the vehicle as an example, the corrosion environment at the bottom of the vehicle is more severe than that of other parts of the vehicle. If the mass loss of the corrosion test piece in the corrosion monitoring area is calculated directly using the meteorological data released by the Meteorological Bureau, the mass loss may be inaccurate. Therefore, in this embodiment, the environmental monitoring data and / or the working condition corrosion data of the corrosion monitoring area in the vehicle are obtained as monitoring data, so that the monitoring data can truly reflect the corrosion environment and corrosion conditions of the corrosion test piece in the corrosion monitoring area.

[0034] S12, determining the current mass loss of the corrosion monitoring area based on the monitoring data.

[0035] In some embodiments of the present application, the current mass loss may be the mass loss of the corrosion test piece. Each monitoring data may have a corresponding corrosion type, and according to each monitoring data, the electronic device may calculate the mass loss of the corrosion test piece under the corresponding corrosion as the current mass loss of the corrosion monitoring area.

[0036] For example, the corrosion type corresponding to the environmental monitoring data may be atmospheric corrosion, and the corrosion type corresponding to the working condition corrosion data may be stone impact corrosion. Among them, atmospheric corrosion is a corrosion phenomenon caused by environmental factors such as temperature and humidity, and stone impact corrosion is a corrosion phenomenon caused by physical impact and wear of hard objects such as stone and sand.

[0037] In some embodiments of the present application, if the monitoring data includes environmental monitoring data, the electronic device can determine the mass loss of the corrosion test piece under atmospheric corrosion as the current mass loss of the corrosion monitoring area based on the environmental monitoring data. If the monitoring data includes a stone chip corrosion image of the corrosion test piece in the corrosion monitoring area, the electronic device can determine the mass loss of the corrosion test piece under stone chip corrosion as the current mass loss of the corrosion monitoring area based on the stone chip corrosion image. Among them, the method for determining the mass loss of the corrosion test piece under atmospheric corrosion and the method for determining the mass loss of the corrosion test piece under stone chip corrosion will be described in detail below.

[0038] In some embodiments of the present application, the current quality loss has a corresponding time point. For example, if the monitoring data is data accumulated within a preset time period, the current quality loss may be multiple, and each time point within the preset time period may have a corresponding current quality loss, or, if the monitoring data is data corresponding to a preset moment, the time point corresponding to the current quality loss is the preset moment.

[0039] In this embodiment, since the environmental monitoring data can truly reflect the corrosion environment of the corrosion test piece, the mass loss of the corrosion test piece under the action of atmospheric corrosion can be accurately determined as the current mass loss of the corrosion monitoring area through the environmental monitoring data. Since the stone chip corrosion image can truly reflect the stone chip corrosion condition of the corrosion test piece, the mass loss of the corrosion test piece under the action of stone chip corrosion can be accurately determined as the current mass loss of the corrosion monitoring area through the stone chip corrosion image. When the monitoring data includes environmental monitoring data and stone chip corrosion images, the overall corrosion condition of the corrosion test piece in a complex corrosion environment can be comprehensively and accurately determined, which not only helps to understand the current corrosion degree of the corrosion test piece, but also predicts the future corrosion trend of the corrosion test piece.

[0040] S13, determining a corrosion detection result of the vehicle based on a comparison between the current mass loss and the standard mass loss.

[0041] In some embodiments of the present application, the corrosion detection result includes whether the corrosion condition of the vehicle is normal or whether the corrosion condition of the vehicle is abnormal.

[0042] The electronic device determines the corrosion detection result of the vehicle based on the comparison between the current mass loss and the standard mass loss, including: if the current mass loss is greater than the standard mass loss, the corrosion detection result is determined to be abnormal corrosion condition of the vehicle; if the current mass loss is less than or equal to the standard mass loss, the corrosion detection result is determined to be normal corrosion condition of the vehicle.

[0043] Among them, the current mass loss calculated by environmental monitoring data and the current mass loss calculated by stone impact corrosion image can have corresponding standard mass loss respectively. When there are multiple current mass losses, each current mass loss can have a corresponding standard mass loss. The standard mass loss can be preset.

[0044] In other embodiments of the present application, if there are multiple current mass losses, when the preset number of current mass losses is greater than the corresponding standard mass loss, the corrosion detection result can be determined to be abnormal corrosion of the vehicle, and when the preset number of current mass losses is less than the corresponding standard mass loss, the corrosion detection result can be determined to be normal corrosion of the vehicle. The preset number can be customized, and the present application does not limit this. For example, the preset number can be 2. The above method of comparing the current mass loss with the standard mass loss is only an example and is not limited to this in actual applications.

[0045] In this embodiment, since the standard mass loss can provide an accurate reference, by comparing the accurate current mass loss with the standard mass loss, it is possible to accurately detect whether the corrosion of the vehicle is abnormal.

[0046] In other embodiments of the present application, after obtaining the corrosion detection result, if the corrosion detection result is that the corrosion condition of the vehicle is abnormal, the electronic device can generate a prompt message, wherein the prompt message is used to prompt that the vehicle has a corrosion risk, prompts maintenance of the vehicle, or prompts that the corresponding road section is bad, and it is necessary to minimize driving on this road section or reduce the speed, etc. The electronic device can send the prompt message to the user's terminal device, or display the prompt message using a display device connected to the vehicle. Among them, this application does not limit the terminal device. For example, the terminal device can be a service station that provides after-sales and / or maintenance services, a management system of a service center, and / or a mobile phone terminal of a car owner. The display device can be a central control display screen, a head-up display (HUD) screen, and an entertainment display screen in the vehicle, etc. This application does not limit this.

[0047] In this embodiment, when the electronic device is a vehicle-mounted device, a display device is used to display prompt information so that the owner can timely and intuitively understand the corrosion risk and maintenance requirements of the vehicle. By means of prompts, the owner and / or after-sales service end can improve their awareness and attention to the corrosion status of the vehicle, so that maintenance measures for the vehicle can be taken in a timely manner, thereby ensuring driving safety and extending the service life of the vehicle.

[0048] In the vehicle corrosion detection solution provided in the embodiment of the present application, since the corrosion monitoring area is located in the vehicle, the monitoring data of the corrosion monitoring area can truly reflect the corrosion situation and corrosion environment of the corrosion monitoring area, so the current mass loss of the corrosion monitoring area can be accurately determined through the monitoring data. Since the standard mass loss can provide an accurate reference, by comparing the accurate current mass loss with the standard mass loss, it is possible to accurately detect whether the corrosion of the vehicle is abnormal.

[0049] like Figure 2 FIG. 1 is a flow chart of a method for determining current quality loss provided by an embodiment of the present application, comprising the following steps: S121, detecting the stone chipping area in the stone chipping image.

[0050] In some embodiments of the present application, the electronic device may detect the stone chip corrosion area in the stone chip corrosion image using an image detection algorithm. Among them, the present application does not limit the type of image detection algorithm. By detecting the stone chip corrosion image using the image detection algorithm, a binary image can be obtained. The pixel values ​​of the pixels corresponding to the stone chip corrosion area in the binary image are different from the pixel values ​​of the pixels in other areas except the stone chip corrosion area. Exemplarily, the pixel values ​​of the pixels corresponding to the stone chip corrosion area can be 255, and the corresponding color is white, and the pixel values ​​of the pixels in other areas except the stone chip corrosion area can be zero, and the corresponding color is black.

[0051] For example, the image detection algorithm may be an edge detection algorithm, a machine learning model, a deep learning model, etc. Among them, the edge detection algorithm includes but is not limited to: Canny, Sobel, the machine learning model includes but is not limited to: support vector machine, random forest, and the deep learning model may include but is not limited to: Fast R-CNN and other convolutional neural networks, YOLO and SSD and other target detection algorithms.

[0052] In other embodiments, before the stone chip corrosion image is detected by using an image detection algorithm, the stone chip corrosion image may be preprocessed, wherein the preprocessing includes but is not limited to: binarization, grayscale, filtering and contrast enhancement.

[0053] S122, calculating the area of ​​the rock chipping corrosion region.

[0054] In some embodiments of the present application, the electronic device may count the number of pixels in the stone chipping area, and determine the area of ​​the stone chipping area based on the number of pixels and the size of each pixel.

[0055] Exemplarily, the electronic device may determine the product of the number of pixels in the stone chipping area and the size of the pixels as the area of ​​the stone chipping area.

[0056] S123, determining the current mass loss according to the preset stone chip corrosion depth, regional area and property parameters of the corrosion test piece.

[0057] In some embodiments of the present application, the stone chip corrosion depth may be a depth value or a depth range. The stone chip corrosion depth may be determined by the corrosion depth of the corrosion test piece under an impact test. The impact test may be to impact the corrosion test piece with a variety of energies.

[0058] For example, among all the corrosion depths obtained by the impact experiment, if a preset percentage of the corrosion depths is within a preset confidence interval, it can be determined that the preset percentage of the corrosion depth is credible, and the electronic device can determine the stone chip corrosion depth based on the preset percentage of the corrosion depth or determine the depth range formed by the preset percentage of the corrosion depth as the stone chip corrosion depth. Among them, the preset percentage and the preset confidence interval can be customized, and this application does not limit this. For example, the preset percentage can be 80%. Determining the stone chip corrosion depth according to the preset percentage of the corrosion depth can be to select one of the corrosion depths from the preset percentage of the corrosion depth as the stone chip corrosion depth, wherein the selection method can be random selection or directional selection, or the electronic device can determine indicators such as the median and average of the preset percentage of the corrosion depth, and determine indicators such as the median and average as the stone chip corrosion depth.

[0059] In other embodiments, the stone chipping corrosion depth may also be customized by the user based on experience, and the present application does not limit this. The above examples of the method for determining the stone chipping corrosion depth are only examples, and are not limited to this in practical applications.

[0060] In some embodiments of the present application, the electronic device can calculate the current mass loss according to the stone chip corrosion depth and the density of the corrosion test piece. The property parameters of the corrosion test piece include the area and density. Exemplarily, the electronic device can determine the current mass loss as the product of the stone chip corrosion depth, the area and the density of the corrosion test piece.

[0061] When the stone chipping corrosion depth is within the depth range, the calculated current mass loss may be multiple, and the electronic device may calculate the final current mass loss based on the multiple current mass losses. For example, the average value or weighted average value among the multiple current mass losses is used as the final current mass loss.

[0062] In this embodiment, since the monitoring data can truly reflect the corrosion environment of the corrosion test piece, the accuracy of the mass loss can be improved by calculating the current mass loss based on the stone chip corrosion depth and the density of the corrosion test piece.

[0063] like Figure 3 FIG. 1 is a flow chart of a method for determining current quality loss provided by another embodiment of the present application, comprising the following steps: S124, calculating multiple electrochemical parameters according to the environmental monitoring data.

[0064] In some embodiments of the present application, the electrochemical parameters may include electrolyte conductivity, electrolyte film thickness, equilibrium concentration of salt solution, oxygen limiting current density, liquid film oxygen diffusion coefficient, liquid film oxygen concentration, liquid film oxygen diffusion rate and liquid film oxygen dissolution rate.

[0065] In some embodiments of the present application, the electronic device calculates multiple electrochemical parameters based on environmental monitoring data, including: determining the electrolyte conductivity and the liquid film oxygen dissolution rate based on relative humidity, determining the equilibrium concentration of the salt solution based on temperature and relative humidity, determining the electrolyte film thickness based on temperature, relative humidity and salt fog deposition rate, determining the liquid film oxygen diffusion coefficient based on the equilibrium concentration of the salt solution, and determining the liquid film oxygen concentration based on the temperature and the equilibrium concentration of the salt solution, determining the liquid film oxygen diffusion rate based on the liquid film oxygen concentration, the liquid film oxygen diffusion coefficient and the electrolyte film thickness, and determining the oxygen limiting current density based on the liquid film oxygen diffusion rate, the liquid film oxygen dissolution rate and the electrolyte film thickness. Among them, the calculation method of the above-mentioned multiple electrochemical parameters can refer to the description of theoretical models such as Fick's diffusion law and Henry's law in the relevant technology.

[0066] S125, calculating the corrosion depth of the corrosion test piece according to the plurality of electrochemical parameters.

[0067] In some embodiments of the present application, the electronic device can solve the functional relationship between the electrolyte conductivity, electrolyte film thickness, equilibrium concentration of the salt solution, oxygen limiting current density, liquid film oxygen diffusion coefficient, liquid film oxygen concentration, liquid film oxygen diffusion rate and liquid film oxygen dissolution rate to obtain the corrosion depth of the corrosion test piece. The functional relationship can be determined based on methods such as thermodynamic models, kinetic models and material transfer models.

[0068] The functional relationship between electrolyte conductivity, electrolyte film thickness, equilibrium concentration of salt solution, oxygen limiting current density, liquid film oxygen diffusion coefficient, liquid film oxygen concentration, liquid film oxygen diffusion rate and liquid film oxygen dissolution rate can be determined based on thermodynamic models, kinetic models, material transfer models and other methods, and reference can be made to relevant technologies.

[0069] In some embodiments of the present application, if the environmental monitoring data is data accumulated within a preset time period, the corrosion depth corresponding to each time point can be calculated based on the environmental monitoring data at each time point within the preset time period. Figure 4 , which is a schematic diagram of the corrosion depth provided by some embodiments of the present application. Figure 4 In the figure, the horizontal axis represents time in days (day, d), and the vertical axis represents corrosion depth in micrometers (micrometer, μm). Figure 4 , it can be determined that the corrosion depth increases with time.

[0070] S126, determining the current mass loss according to the corrosion depth and the property parameters of the corrosion test piece in the corrosion monitoring area.

[0071] In some embodiments of the present application, the electronic device may calculate the current mass loss according to the corrosion depth, the density of the corrosion test piece, and the area of ​​the corrosion test piece. For example, the electronic device may determine the current mass loss as the product of the corrosion depth, the density of the corrosion test piece, and the area of ​​the corrosion test piece.

[0072] In this embodiment, since the stone chip corrosion image can truly reflect the stone chip corrosion condition of the corrosion test piece, the accuracy of the mass loss can be improved by calculating the current mass loss based on the corrosion depth, the density of the corrosion test piece and the area of ​​the corrosion test piece.

[0073] like Figure 5 , which is a flow chart of a method for determining corrosion detection results provided in one embodiment of the present application.

[0074] S131, fitting a standard curve formed by standard mass losses corresponding to multiple time points, and fitting an actual curve formed by current mass losses corresponding to multiple time points.

[0075] In some embodiments of the present application, if the monitoring data is accumulated data within a preset time period, the current mass loss and the standard mass loss both have corresponding time points. The electronic device can use a fitting algorithm to fit the standard mass loss at multiple time points to obtain a standard curve, and use a fitting algorithm to fit the current mass loss at multiple time points to obtain an actual curve. The fitting algorithm may include but is not limited to: a least squares algorithm, a polynomial regression algorithm, and a nonlinear regression algorithm.

[0076] S132, determining whether the slope of the actual curve is greater than the slope of the standard curve.

[0077] In some embodiments of the present application, if the actual curve is generated by the current mass loss calculated by environmental monitoring data or the current mass loss calculated by the stone impact corrosion image, when the slope of the actual curve is greater than the slope of the standard curve, step S133 is executed; when the slope of the actual curve is less than or equal to the slope of the standard curve, step S134 is executed.

[0078] In other embodiments of the present application, if the actual curve includes a first actual curve generated by the current mass loss calculated by environmental monitoring data and a second actual curve generated by the current mass loss calculated by the stone impact corrosion image, when the slope of the first actual curve or the slope of the second actual curve is greater than the slope of the standard curve, step S133 is executed; when the slope of the first actual curve and the slope of the second actual curve are less than or equal to the slope of the standard curve, step S134 is executed.

[0079] S133, determining that the corrosion detection result is that the corrosion condition of the vehicle is abnormal.

[0080] In this embodiment, when the slope of the actual curve is greater than the slope of the standard curve or when the slope of the first actual curve or the slope of the second actual curve is greater than the slope of the standard curve, it means that the corrosion rate of the vehicle is abnormally accelerated. Therefore, the corrosion detection result is determined to be that the corrosion condition of the vehicle is abnormal, which can ensure the accuracy of the corrosion detection result.

[0081] S134, determining that the corrosion detection result shows that the corrosion condition of the vehicle is normal.

[0082] In this embodiment, when the slope of the actual curve is less than or equal to the slope of the standard curve or when the slope of the first actual curve and the slope of the second actual curve are less than or equal to the slope of the standard curve, it means that the corrosion rate of the vehicle is normal. Therefore, the corrosion detection result is determined to be that the corrosion condition of the vehicle is normal, which can ensure the accuracy of the corrosion detection result.

[0083] In other embodiments of the present application, the electronic device can determine the change trend of the slope of the actual curve composed of the current mass loss at multiple time points, such as an upward trend or a downward trend, and determine the corrosion detection result of the vehicle according to the change trend. For example, when it is monitored that the slope of the actual curve composed of the current mass loss at multiple time points shows a significant upward trend, it can be determined that the corrosion detection result is abnormal.

[0084] In other embodiments of the present application, the electronic device may also determine the corrosion detection result of the vehicle based on the comparison between the corrosion depth of the corrosion test piece and the standard corrosion depth. The corrosion detection result determined based on the comparison between the current corrosion depth of the corrosion test piece and the standard corrosion depth may refer to the above description of determining the corrosion detection result based on the comparison between the current mass loss and the standard mass loss, and the present application will not repeat the description.

[0085] like Figure 6 The electronic device 10 may be a vehicle-mounted device, a computer, a mobile phone, a tablet computer, a notebook computer, a server, etc. The specific type of the electronic device 10 is not limited in any way in the embodiment of the present application.

[0086] exist Figure 6 In the embodiment, the electronic device 10 may include a communication module 101, a memory 102, a processor 103, an input / output (I / O) interface 104 and a bus 105. The processor 103 is coupled to the communication module 101, the memory 102 and the input / output interface 104 through the bus 105.

[0087] The communication module 101 may include a wired communication module and / or a wireless communication module. The wired communication module may provide one or more wired communication solutions such as universal serial bus (USB), controller area network bus (CAN, Controller Area Network). The wireless communication module may provide one or more wireless communication solutions such as wireless fidelity (wireless fidelity, Wi-Fi), Bluetooth (Bluetooth, BT), mobile communication network, frequency modulation (frequency modulation, FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR), etc.

[0088] The memory 102 may include one or more random access memories (RAM) and one or more non-volatile memories (NVM). The random access memory can be directly read and written by the processor 103, and can be used to store executable programs (such as machine instructions) of other running programs, and can also be used to store user and application data. The random access memory may include static random-access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), etc.

[0089] The non-volatile memory may also store executable programs and user and application data, etc., and may be loaded into the random access memory in advance for direct reading and writing by the processor 103. The non-volatile memory may include a disk storage device and a flash memory.

[0090] The memory 102 is used to store one or more computer programs. The one or more computer programs are configured to be executed by the processor 103. The one or more computer programs include a plurality of instructions, and when the plurality of instructions are executed by the processor 103, the vehicle corrosion detection method executed on the electronic device 10 can be implemented.

[0091] In other embodiments, Figure 6 The electronic device 10 shown also includes an external memory interface for connecting to an external memory to expand the storage capacity of the electronic device 10 .

[0092] The processor 103 may include one or more processing units, for example, the processor 103 may include an application processor (AP), a modem processor, a graphics processor (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), and / or a neural-network processing unit (NPU), etc. Different processing units may be independent devices or integrated into one or more processors.

[0093] The processor 103 provides computing and control capabilities. For example, the processor 103 is used to execute a computer program stored in the memory 102 to implement the above-mentioned vehicle corrosion detection method.

[0094] The input / output interface 104 is used to provide a channel for user input or output. For example, the input / output interface 104 can be used to connect various input and output devices, such as a mouse, keyboard, touch device, display screen, etc., so that the user can enter information or visualize information.

[0095] The bus 105 is at least used to provide a channel for mutual communication among the communication module 101 , the memory 102 , the processor 103 , and the input / output interface 104 in the electronic device 10 .

[0096] It is to be understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the electronic device 10. In other embodiments of the present application, the electronic device 10 may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0097] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. The computer program includes program instructions. The method implemented when the program instructions are executed can refer to the methods in the above-mentioned embodiments of the present application.

[0098] The computer-readable storage medium may be an internal memory of the electronic device described in the above embodiment, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device.

[0099] In some embodiments, the computer-readable storage medium may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function, etc.; the data storage area may store data created according to the use of the electronic device, etc.

[0100] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0101] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] In addition, each functional module in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0103] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present application is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present application. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0104] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in this application can also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0105] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical solution of the present application may be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present application.

Claims

1. A vehicle corrosion detection method, characterized in that: The method comprises: Acquiring monitoring data of corrosion monitoring areas in a vehicle; Determining the current mass loss of the corrosion monitoring area based on the monitoring data; Based on the comparison of the current mass loss with a standard mass loss, a corrosion detection result of the vehicle is determined.

2. The vehicle corrosion detection method according to claim 1, characterized in that: The monitoring data includes a stone chip corrosion image of the corrosion test piece in the corrosion monitoring area, and the determining the current mass loss of the corrosion monitoring area based on the monitoring data includes: Detecting a stone chipping corrosion area in the stone chipping corrosion image; Calculate the area of ​​the rock chipping corrosion area; The current mass loss is determined according to the preset stone chip corrosion depth, the area of ​​the region and the property parameters of the corrosion test piece.

3. The vehicle corrosion detection method according to claim 1, characterized in that: The monitoring data includes environmental monitoring data, and determining the current mass loss of the corrosion area based on the monitoring data includes: Calculating multiple electrochemical parameters according to the environmental monitoring data; Calculating the corrosion depth of the corrosion test piece according to the multiple electrochemical parameters; The current mass loss is determined according to the corrosion depth and the property parameters of the corrosion test piece in the corrosion monitoring area.

4. The vehicle corrosion detection method according to claim 3, characterized in that: The environmental monitoring data includes temperature, relative humidity and salt spray deposition rate, the multiple electrochemical parameters include electrolyte conductivity, electrolyte film thickness, equilibrium concentration of salt solution, oxygen limiting current density, liquid film oxygen diffusion coefficient, liquid film oxygen concentration, liquid film oxygen diffusion rate and liquid film oxygen dissolution rate, and the calculation of multiple electrochemical parameters based on the environmental monitoring data includes: Determining the conductivity of the electrolyte and the oxygen dissolution rate of the liquid film according to the relative humidity; determining the equilibrium concentration of the salt solution according to the temperature and the relative humidity; Determining the electrolyte film thickness according to the temperature, the relative humidity and the salt spray deposition rate; Determining the liquid film oxygen diffusion coefficient according to the equilibrium concentration of the salt solution, and determining the liquid film oxygen concentration according to the temperature and the equilibrium concentration of the salt solution; Determining the liquid film oxygen diffusion rate according to the liquid film oxygen concentration, the liquid film oxygen diffusion coefficient and the electrolyte film thickness; The oxygen limiting current density is determined according to the liquid film oxygen diffusion rate, the liquid film oxygen dissolution rate and the electrolyte film thickness.

5. The vehicle corrosion detection method according to claim 3, characterized in that: The method further comprises: The corrosion detection result is determined based on a comparison between the current corrosion depth and a standard corrosion depth.

6. The vehicle corrosion detection method according to any one of claims 1 to 3, characterized in that: The current mass loss and the standard mass loss both have corresponding time points, and the determining of the corrosion detection result of the vehicle based on the comparison between the current mass loss and the standard mass loss includes: Fitting a standard curve consisting of standard mass losses corresponding to multiple time points, and fitting an actual curve consisting of current mass losses corresponding to multiple time points; If the slope of the actual curve is greater than the slope of the standard curve, determining that the corrosion detection result is that the corrosion condition of the vehicle is abnormal; If the slope of the actual curve is less than or equal to the slope of the standard curve, it is determined that the corrosion detection result is that the corrosion condition of the vehicle is normal.

7. The vehicle corrosion detection method according to any one of claims 1 to 3, characterized in that: The determining of the corrosion detection result of the vehicle based on the comparison between the current mass loss and the standard mass loss includes: If the current mass loss is greater than the standard mass loss, determining that the corrosion detection result is that the corrosion condition of the vehicle is abnormal; If the current mass loss is less than or equal to the standard mass loss, it is determined that the corrosion detection result is that the corrosion condition of the vehicle is normal.

8. The vehicle corrosion detection method according to claim 1, characterized in that: The method further comprises: If the corrosion detection result shows that the corrosion condition of the vehicle is abnormal, a prompt message is generated, where the prompt message is used to prompt that the vehicle has a corrosion risk or to prompt maintenance of the vehicle; The prompt information is sent to a terminal device of the user, or the prompt information is displayed using a display device connected to the vehicle.

9. An electronic device, characterized in that: The electronic device comprises: processor; A memory; and an application, wherein the application is stored in the memory and configured to be executed by the processor to implement the vehicle corrosion detection method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the vehicle corrosion detection method according to any one of claims 1 to 8 is implemented.

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