Anti-corrosion method and device for automobile chassis

Abstract

An automobile chassis corrosion prevention method and device belong to the field of automobile corrosion prevention, and the method comprises the steps: obtaining environment information, vehicle driving information and current corrosion information of an automobile chassis, the environment information comprises environment humidity and road surface salt content, and the vehicle driving information comprises vehicle speed and vehicle acceleration; the current corrosion information comprises a corrosion position and a corrosion degree; a corrosion prediction curve is obtained by combining the environment information, the vehicle driving information and the current corrosion information, and the corrosion prediction curve comprises predicted corrosion information at a plurality of prediction moments; and according to the corrosion prediction curve, the corrosion position with the corrosion degree larger than a preset threshold value at the specified prediction moment is sprayed with a preservative. According to the method, the corrosion degree of the automobile chassis can be predicted in combination with the environment information, the vehicle driving information and the current corrosion information, the position with the corrosion risk is sprayed with the preservative according to the prediction result, real-time corrosion prevention can be achieved, and the corrosion prevention effect of the automobile chassis is improved.

Description

Technical Field

[0001] The present application relates to the field of automobile anti-corrosion, and in particular to an automobile chassis anti-corrosion method and device. Background Art

[0002] The main methods of automobile chassis corrosion protection include keeping the vehicle clean, using anti-rust liquid, chassis spray painting, using chassis anti-corrosion paint, chassis armor or plastic sealing.

[0003] Keep your vehicle clean. The specific operation is to wash the car regularly, especially pay attention to cleaning the car chassis. Due to different road conditions, it is difficult to ensure that the vehicle remains clean after using it for a period of time. Therefore, you need to pay more attention to the cleanliness of the chassis when washing the car.

[0004] Use anti-rust liquid. The specific operation is to buy anti-rust liquid and correctly use different types of metal protection liquid after washing the car to effectively prevent metal oxidation and rust.

[0005] Chassis painting, the specific operation is to give the car chassis a new paint every year, which can effectively prevent oxidation and aging.

[0006] The use of chassis anti-corrosion paint is a special paint sprayed on the vehicle chassis and other external exposed areas. It dries quickly and forms a tough elastic protective layer that effectively resists the impact of flying rocks and gravel, as well as the erosion of chassis metal by moisture, acid rain and salt.

[0007] Chassis armor or plastic sealing, the specific operation is to remove the rust on the chassis and then spray the chassis armor to effectively protect the chassis from the influence of acid rain, corrosion and other factors, so that the original protective layer is not easy to crack or fall off, and at the same time prevent the impact of stones on the chassis during driving.

[0008] The common purpose of these methods is to prevent rust and corrosion by forming a protective layer or enhancing the protective ability of the chassis, ensuring driving safety and extending the service life of the vehicle.

[0009] At present, the chassis parts of domestically produced cars are generally made of galvanized sheets or aluminum sheets. Before leaving the factory, the cabin and chassis need to be sprayed with anti-corrosion wax. If the corrosion is serious, they need to be replaced later. However, the galvanized sheet solution is relatively expensive and has a long cycle. If it is replaced, the cost of a single car will increase by more than 300 yuan. The sheet metal parts need to be re-molded, and the cost of a single car will exceed 10 million yuan if replaced. The maintenance cycle requires more than 6 months. Since the overseas market has clear regulations on automobile anti-corrosion and it is an inspection item in the after-sales annual inspection, by contrast, there are no regulations on automobile anti-corrosion in China, nor are there annual inspection requirements. Therefore, when domestic models are exported abroad, if the problem of automobile chassis anti-corrosion cannot be solved, and if customers cannot replace rusty chassis parts in time, the vehicles will face various problems in market access and customer complaints abroad. Summary of the invention

[0010] The present application provides a method, system, device and computer-readable storage medium for anti-corrosion of an automobile chassis, which can solve the technical problem in the prior art that the automobile chassis cannot be subjected to subsequent anti-corrosion treatment once it is installed.

[0011] In a first aspect, an embodiment of the present application provides a method for anti-corrosion of an automobile chassis, the method comprising:

[0012] Acquire environmental information, vehicle driving information, and current corrosion information of the vehicle chassis, wherein the environmental information includes environmental humidity and road salt content, the vehicle driving information includes vehicle speed and vehicle acceleration, and the current corrosion information includes corrosion location and corrosion degree;

[0013] Combining environmental information, vehicle driving information, and current corrosion information to obtain a corrosion prediction curve, wherein the corrosion prediction curve includes predicted corrosion information at multiple prediction moments;

[0014] According to the corrosion prediction curve, anticorrosion agent is sprayed on the corrosion position whose corrosion degree is greater than the preset threshold at the specified prediction time.

[0015] In combination with the first aspect, in one implementation, the method further includes:

[0016] Combine historical environmental information, vehicle driving information, and current corrosion information to train a corrosion prediction model;

[0017] The corrosion prediction curve is obtained according to the corrosion prediction model.

[0018] In combination with the first aspect, in one implementation, the environmental information also includes ambient temperature and road surface water level.

[0019] In combination with the first aspect, in one implementation, the vehicle acceleration includes linear acceleration and steering angle acceleration.

[0020] In combination with the first aspect, in one implementation, the method further includes:

[0021] A plurality of positions on the chassis of the automobile are preset as high-risk points, and the amount of preservative sprayed on the high-risk points is higher than the amount of preservative sprayed on other positions.

[0022] In combination with the first aspect, in one implementation, the method further includes:

[0023] The higher the corrosion degree of the corrosive location at the specified prediction time, the higher the amount of anti-corrosion agent sprayed.

[0024] In combination with the first aspect, in one implementation, the method further includes:

[0025] Determine whether the ambient humidity is greater than a humidity threshold and the road salt content is greater than a salt content threshold. If so, determine that the vehicle has entered a high-humidity and high-salt area; if not, determine that the vehicle has entered a low-humidity and low-salt area.

[0026] The amount of preservative sprayed when a vehicle enters a high-humidity and high-salt area is higher than the amount of preservative sprayed when the vehicle enters a low-humidity and low-salt area.

[0027] In combination with the first aspect, in one implementation, the method further includes:

[0028] When it is determined that the vehicle has entered a high humidity and high salt area from a low humidity and low salt area, the chassis of the vehicle is pre-sprayed with preservatives.

[0029] In combination with the first aspect, in one implementation, the method further includes:

[0030] Before spraying the preservative, determine whether the vehicle speed is less than the speed threshold. If so, spray the preservative. If not, when the vehicle speed is greater than the speed threshold for longer than the time threshold, spray the preservative when the vehicle is started next time. When the vehicle speed is greater than the speed threshold for less than the time threshold, spray the preservative when the vehicle speed is not greater than the speed threshold.

[0031] In a second aspect, an embodiment of the present application provides an automobile chassis anti-corrosion device, comprising:

[0032] A data acquisition module, which is used to obtain environmental information, vehicle driving information, and current corrosion information of the automobile chassis, wherein the environmental information includes environmental humidity and road salt content, the vehicle driving information includes vehicle speed and vehicle acceleration, and the current corrosion information includes corrosion location and corrosion degree;

[0033] A data processing module, which is used to combine environmental information, vehicle driving information, and current corrosion information to obtain a corrosion prediction curve, wherein the corrosion prediction curve includes predicted corrosion information at multiple prediction moments;

[0034] The anti-corrosion agent spraying module is used to spray the anti-corrosion agent on the corrosion position whose corrosion degree is greater than the preset threshold value at the specified prediction time according to the corrosion prediction curve.

[0035] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0036] It can combine environmental information, vehicle driving information, and current corrosion information to predict the degree of corrosion of the car chassis. According to the prediction results, anti-corrosion agents are sprayed on locations where there is a risk of corrosion, which can achieve real-time anti-corrosion and improve the anti-corrosion effect of the car chassis. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1This is a schematic diagram of a process of an embodiment of the automobile chassis anti-corrosion method of the present application;

[0038] Figure 2 This is a functional module diagram of an embodiment of the automobile chassis anti-corrosion of the present application;

[0039] Figure 3 This is a schematic diagram of the hardware structure of an embodiment of the automobile chassis anti-corrosion equipment of the present application. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0041] First, some technical terms in the present application are explained to facilitate those skilled in the art to understand the present application.

[0042] The automobile chassis consists of four parts: the transmission system, the running system, the steering system and the braking system. The function of the chassis is to support and install the automobile engine and its components and assemblies, form the overall shape of the automobile, and receive the power of the engine to make the automobile move and ensure normal driving.

[0043] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0044] In a first aspect, an embodiment of the present application provides a method for anti-corrosion of an automobile chassis.

[0045] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of an embodiment of the automobile chassis anti-corrosion method of the present application. Figure 1 As shown, the anti-corrosion methods for automobile chassis include:

[0046] Step S1, obtaining environmental information, vehicle driving information, and current corrosion information of the vehicle chassis, wherein the environmental information includes environmental humidity and road salt content, the vehicle driving information includes vehicle speed and vehicle acceleration, and the current corrosion information includes corrosion location and corrosion degree.

[0047] Step S2: Combining environmental information, vehicle driving information, and current corrosion information, a corrosion prediction curve is obtained, where the corrosion prediction curve includes predicted corrosion information at multiple prediction moments.

[0048] Step S3: spraying an anticorrosive agent on the corrosion locations whose corrosion degree is greater than a preset threshold at the specified prediction time according to the corrosion prediction curve.

[0049] In this embodiment, the causes of chassis corrosion of the vehicle mainly include high environmental humidity and high road salt content. These two factors will greatly accelerate the corrosion rate of the vehicle chassis and affect the performance of the vehicle chassis. Therefore, the environmental humidity and road salt content are collected, and the environmental humidity and road salt content are used as factors affecting the corrosion of the vehicle chassis. Different weight values ​​can be set respectively. For example, the weight value of the environmental humidity is set to be larger, indicating that the environmental humidity has a greater impact on the corrosion rate of the vehicle chassis. The weight values ​​of different environmental information can be obtained based on experience or based on model training or curve fitting.

[0050] When the vehicle is driving, moisture and salt may adhere to the chassis. In addition to salt, other impurities that may cause chassis corrosion may also adhere to the chassis, which will accelerate chassis corrosion. The higher the vehicle speed, the higher the air circulation speed under the chassis, and the more gas will flow under the chassis. If the water content in the air is relatively high, it means that more moisture will come into contact with the chassis during the air flow through the chassis, which will accelerate the corrosion rate. The greater the vehicle acceleration, whether it is the greater the positive acceleration when accelerating, the greater the negative acceleration when braking, or the angular acceleration when the vehicle turns, the more drastic the change in the body posture will be, and the corresponding corrosive substances will not be easily adsorbed on the chassis, which will reduce the corrosion rate. Therefore, when predicting the corrosion rate, the vehicle speed and vehicle acceleration can be taken into consideration, and different weight values ​​for the vehicle speed and vehicle acceleration for the degree of corrosion can be set. If the weight value of the vehicle speed is set to a positive value, the weight value of the vehicle acceleration is set to a negative value. A positive weight value of the vehicle speed means that the greater the vehicle speed, the faster the corrosion; a negative weight value of the vehicle acceleration means that the greater the vehicle acceleration, the slower the corrosion.

[0051] The current corrosion condition of the car chassis, that is, the current corrosion information, can be detected by electrochemical methods. Electrochemical methods are an effective means for detecting and evaluating the corrosion condition of metals. Electrochemical methods mainly include polarization curve method, electrochemical impedance method and linear polarization method. The polarization curve method measures the curve of the potential change over time on the metal surface by changing the current density, thereby evaluating the corrosion condition of the metal. The electrochemical impedance law evaluates the corrosion condition by measuring the AC potential and AC current on the metal surface. The linear polarization law evaluates the corrosion condition by measuring the slope of the polarization curve on the metal surface. These methods have their own characteristics, but the common point is that they use the electrochemical principle to reflect the corrosion state of the metal by measuring the potential and current changes on the metal surface. In practical applications, the appropriate corrosion detection method can be selected in combination with different vehicle conditions and driving environment factors.

[0052] In summary, the corrosion degree of the automobile chassis is predicted by combining environmental information, vehicle driving information, and current corrosion information. According to the prediction results, anti-corrosion agents are sprayed on locations where there is a risk of corrosion, which can achieve real-time anti-corrosion and improve the anti-corrosion effect of the automobile chassis.

[0053] Furthermore, in one embodiment, the above method further includes:

[0054] The corrosion prediction model is trained by combining historical environmental information, vehicle driving information, and current corrosion information.

[0055] According to the above corrosion prediction model, the above corrosion prediction curve is obtained.

[0056] In this embodiment, the corrosion prediction curve can be obtained by curve fitting after data analysis based on environmental information, vehicle driving information, and current corrosion information at multiple historical moments. It can also use some existing machine learning models, take the environmental information, vehicle driving information, and current corrosion information at the previous moment as input data, and take the current corrosion information at the next moment as output data. After input into the machine learning model for training, a corrosion prediction model that can output a corrosion prediction curve is obtained. The corrosion prediction model includes the degree of corrosion at different prediction moments.

[0057] Furthermore, in one embodiment, the above environmental information also includes environmental temperature and road surface water level.

[0058] In this embodiment, in addition to the environmental humidity and road salt content as factors affecting the corrosion rate of the automobile chassis, the environmental temperature and road water level also affect the corrosion rate of the automobile chassis.

[0059] Under the same ambient humidity and road salt content, generally speaking, the higher the ambient temperature, the faster the corrosion rate. When training the corrosion prediction model, the ambient temperature can also be used as input data in the model training.

[0060] In addition to moisture in the air adhering to the chassis of the car and causing corrosion, water on the road can also be splashed and attached to the chassis of the car when the vehicle passes by. The water level on the road can be obtained through the road network system. Generally, the higher the water level, the faster the corrosion rate. If the water level on the road cannot be obtained, rainfall data can also be obtained to infer the water level on the road.

[0061] Furthermore, in one embodiment, the vehicle acceleration includes linear acceleration and steering angular acceleration.

[0062] In this embodiment, the greater the linear acceleration and the steering angle acceleration, the more drastic the change in the vehicle posture, and the corresponding corrosive substances are less likely to be adsorbed on the vehicle chassis, which will reduce the corrosion rate.

[0063] Furthermore, in one embodiment, the above method further includes:

[0064] A plurality of positions on the chassis of the automobile are preset as high-risk points, and the amount of preservative sprayed on the high-risk points is higher than the amount of preservative sprayed on other positions.

[0065] In this embodiment, after obtaining points with greater corrosion risk according to the corrosion prediction curve, if there are preset high-risk points among these points, the amount of preservative sprayed on these high-risk points will be higher than that on other corrosion risk points.

[0066] The specific means to increase the amount of preservative sprayed can be to increase the single spraying amount or to increase the spraying frequency.

[0067] High-risk points can be points that have a greater impact on vehicle performance at the same corrosion level, or points that have historically corroded faster.

[0068] Furthermore, in one embodiment, the above method further includes:

[0069] The higher the corrosion degree of the corrosive location at the specified prediction time, the higher the amount of anti-corrosion agent sprayed.

[0070] In this embodiment, the specific means of increasing the amount of preservative sprayed may be to increase the amount of single spraying or to increase the spraying frequency.

[0071] Furthermore, in one embodiment, the above method further includes:

[0072] Determine whether the ambient humidity is greater than a humidity threshold and the road salt content is greater than a salt content threshold. If so, determine that the vehicle has entered a high-humidity and high-salt area; if not, determine that the vehicle has entered a low-humidity and low-salt area.

[0073] The amount of preservative sprayed when a vehicle enters a high-humidity and high-salt area is higher than the amount of preservative sprayed when the vehicle enters a low-humidity and low-salt area.

[0074] In this embodiment, when other factors affecting the corrosion rate are the same, the amount of preservative sprayed when the vehicle is in a high humidity and high salt area is greater than the amount of preservative sprayed when the vehicle is in a low humidity and low salt area, thereby achieving adaptive adjustment of the preservative spraying for different environments and improving the anti-corrosion effect of the automobile chassis in various environments.

[0075] Furthermore, in one embodiment, the above method further includes:

[0076] When it is determined that the vehicle has entered a high humidity and high salt area from a low humidity and low salt area, the chassis of the vehicle is pre-sprayed with preservatives.

[0077] In this embodiment, when it is judged that the vehicle has just entered a high humidity and high salt area from a low humidity and low salt area, it is not necessary to predict the degree of corrosion, and the vehicle chassis is directly pre-sprayed with an anticorrosive agent. Subsequently, according to the prediction results of the corrosion prediction model, a high-frequency spraying strategy is used to focus on the corrosion position (such as the suspension, etc.) to increase the spraying dosage. When the vehicle enters a low humidity and low salt area, the spraying frequency and dosage are reduced accordingly according to the prediction model.

[0078] Furthermore, in one embodiment, the above method further includes:

[0079] Before spraying the preservative, determine whether the vehicle speed is less than the speed threshold. If so, spray the preservative. If not, when the vehicle speed is greater than the speed threshold for longer than the time threshold, spray the preservative when the vehicle is started next time. When the vehicle speed is greater than the speed threshold for less than the time threshold, spray the preservative when the vehicle speed is not greater than the speed threshold.

[0080] In this embodiment, when the vehicle speed is detected to exceed the set speed threshold, such as 60km / h, the spraying of the preservative is stopped because the wind speed will have a greater impact on the spraying effect. When the vehicle speed is greater than the speed threshold for a period of time that exceeds the time threshold, such as the average speed within 5 minutes is less than 60km / h, the spraying is restarted. If the vehicle speed is too high for a long time, the spraying program will be run once when the vehicle is started next time, and the user will be informed through the vehicle computer to reduce the speed or wait until the spraying program is finished before starting.

[0081] Furthermore, in one embodiment, the above method further includes:

[0082] Before spraying the preservative each time, determine whether there is any attachment on the car chassis. If so, use a purge device or a cleaning device to clean the attachment. You can also remove the attachment by prompting the driver to increase the driving speed or acceleration, thereby improving the protective effect after spraying the preservative.

[0083] In a second aspect, an embodiment of the present application also provides an automobile chassis anti-corrosion device.

[0084] In one embodiment, referring to Figure 2 , Figure 2 This is a functional module diagram of an embodiment of the automobile chassis anti-corrosion of the present application. Figure 2 As shown, the automobile chassis anti-corrosion device includes:

[0085] The data acquisition module 1 is used to obtain environmental information, vehicle driving information, and current corrosion information of the automobile chassis. The environmental information includes environmental humidity and road salt content. The vehicle driving information includes vehicle speed and vehicle acceleration. The current corrosion information includes corrosion location and corrosion degree.

[0086] The data processing module 2 is used to combine environmental information, vehicle driving information, and current corrosion information to obtain a corrosion prediction curve, wherein the corrosion prediction curve includes predicted corrosion information at multiple prediction moments.

[0087] The anti-corrosion agent spraying module 3 is used to spray the anti-corrosion agent on the corrosion position whose corrosion degree is greater than a preset threshold value at the specified prediction time according to the corrosion prediction curve.

[0088] In this embodiment, the corrosion degree of the automobile chassis is predicted by combining environmental information, vehicle driving information, and current corrosion information. According to the prediction results, anti-corrosion agents are sprayed on locations where there is a risk of corrosion, which can achieve real-time anti-corrosion and improve the anti-corrosion effect of the automobile chassis.

[0089] Furthermore, in one embodiment, the data processing module 2 is also used to train a corrosion prediction model in combination with historical environmental information, vehicle driving information, and current corrosion information.

[0090] The data processing module 2 obtains the corrosion prediction curve according to the corrosion prediction model.

[0091] In this embodiment, the corrosion prediction curve can be obtained by curve fitting after data analysis based on environmental information, vehicle driving information, and current corrosion information at multiple historical moments. It can also use some existing machine learning models, take the environmental information, vehicle driving information, and current corrosion information at the previous moment as input data, and take the current corrosion information at the next moment as output data. After input into the machine learning model for training, a corrosion prediction model that can output a corrosion prediction curve is obtained. The corrosion prediction model includes the degree of corrosion at different prediction moments.

[0092] Furthermore, in one embodiment, the above environmental information also includes environmental temperature and road surface water level.

[0093] In this embodiment, in addition to the environmental humidity and road salt content as factors affecting the corrosion rate of the automobile chassis, the environmental temperature and road water level also affect the corrosion rate of the automobile chassis.

[0094] Under the same ambient humidity and road salt content, generally speaking, the higher the ambient temperature, the faster the corrosion rate. When training the corrosion prediction model, the ambient temperature can also be used as input data in the model training.

[0095] In addition to moisture in the air adhering to the chassis of the car and causing corrosion, water on the road can also be splashed and attached to the chassis of the car when the vehicle passes by. The water level on the road can be obtained through the road network system. Generally, the higher the water level, the faster the corrosion rate. If the water level on the road cannot be obtained, rainfall data can also be obtained to infer the water level on the road.

[0096] Furthermore, in one embodiment, the vehicle acceleration includes linear acceleration and steering angular acceleration.

[0097] In this embodiment, the greater the linear acceleration and the steering angle acceleration, the more drastic the change in the vehicle posture, and the corresponding corrosive substances are less likely to be adsorbed on the vehicle chassis, which will reduce the corrosion rate.

[0098] Furthermore, in one embodiment, the preservative spraying module 3 is also used to preset multiple positions on the chassis of the automobile as high-risk points, and the amount of preservative sprayed on the high-risk points is higher than the amount of preservative sprayed on other positions.

[0099] In this embodiment, after obtaining points with greater corrosion risk according to the corrosion prediction curve, if there are preset high-risk points among these points, the amount of preservative sprayed on these high-risk points will be higher than that on other corrosion risk points.

[0100] The specific means to increase the amount of preservative sprayed can be to increase the single spraying amount or to increase the spraying frequency.

[0101] High-risk points can be points that have a greater impact on vehicle performance at the same corrosion level, or points that have historically corroded faster.

[0102] Furthermore, in one embodiment, the anti-corrosion agent spraying module 3 is also used to spray a higher amount of anti-corrosion agent when the corrosion position has a higher degree of corrosion at the specified prediction time.

[0103] In this embodiment, the specific means of increasing the amount of preservative sprayed may be to increase the amount of single spraying or to increase the spraying frequency.

[0104] Furthermore, in one embodiment, the preservative spraying module 3 is also used to determine whether the ambient humidity is greater than a humidity threshold and the road salt content is greater than a salt content threshold. If so, it is determined that the vehicle has entered a high-humidity and high-salt area; if not, it is determined that the vehicle has entered a low-humidity and low-salt area.

[0105] The amount of preservative sprayed when a vehicle enters a high-humidity and high-salt area is higher than the amount of preservative sprayed when the vehicle enters a low-humidity and low-salt area.

[0106] In this embodiment, when other factors affecting the corrosion rate are the same, the amount of preservative sprayed when the vehicle is in a high humidity and high salt area is greater than the amount of preservative sprayed when the vehicle is in a low humidity and low salt area, thereby achieving adaptive adjustment of the preservative spraying for different environments and improving the anti-corrosion effect of the automobile chassis in various environments.

[0107] Furthermore, in one embodiment, the above-mentioned preservative spraying module 3 is also used to pre-spray the chassis of the vehicle with preservative when it is determined that the vehicle enters a high humidity and high salt area from a low humidity and low salt area.

[0108] In this embodiment, when it is judged that the vehicle has just entered a high humidity and high salt area from a low humidity and low salt area, it is not necessary to predict the degree of corrosion, and the vehicle chassis is directly pre-sprayed with an anticorrosive agent. Subsequently, according to the prediction results of the corrosion prediction model, a high-frequency spraying strategy is used to focus on the corrosion position (such as the suspension, etc.) to increase the spraying dosage. When the vehicle enters a low humidity and low salt area, the spraying frequency and dosage are reduced accordingly according to the prediction model.

[0109] Furthermore, in one embodiment, the preservative spraying module 3 is also used to determine whether the vehicle speed is less than a speed threshold before spraying the preservative. If so, spraying the preservative is performed; if not, when the duration during which the vehicle speed is greater than the speed threshold exceeds the duration threshold, spraying the preservative is performed when the vehicle is started next time; when the duration during which the vehicle speed is greater than the speed threshold does not exceed the duration threshold, spraying the preservative is performed when the vehicle speed is not greater than the speed threshold.

[0110] In this embodiment, when the vehicle speed is detected to exceed the set speed threshold, such as 60km / h, the spraying of the preservative is stopped because the wind speed will have a greater impact on the spraying effect. When the vehicle speed is greater than the speed threshold for a period of time that exceeds the time threshold, such as the average speed within 5 minutes is less than 60km / h, the spraying is restarted. If the vehicle speed is too high for a long time, the spraying program will be run once when the vehicle is started next time, and the user will be informed through the vehicle computer to reduce the speed or wait until the spraying program is finished before starting.

[0111] Among them, the functional implementation of each module in the above-mentioned automobile chassis anti-corrosion device corresponds to the various steps in the above-mentioned automobile chassis anti-corrosion method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0112] In a third aspect, an embodiment of the present application provides an automobile chassis anti-corrosion device, which may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0113] Reference Figure 3 , Figure 3 The hardware structure diagram of the automobile chassis anti-corrosion device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the automobile chassis anti-corrosion device may include a processor, a memory, a communication interface, and a communication bus.

[0114] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0115] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the automobile chassis anti-corrosion equipment, and the interface used to realize the interconnection of the automobile chassis anti-corrosion equipment with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc. The user device can be a display, a keyboard, etc.

[0116] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0117] The processor may be a general-purpose processor, which may call the automobile chassis anti-corrosion program stored in the memory and execute the automobile chassis anti-corrosion method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the automobile chassis anti-corrosion program is called may refer to the various embodiments of the automobile chassis anti-corrosion method of the present application, which will not be repeated here.

[0118] Those skilled in the art will understand that Figure 3 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0119] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0120] The computer-readable storage medium of the present application stores an automobile chassis anti-corrosion program, wherein when the automobile chassis anti-corrosion program is executed by a processor, the steps of the automobile chassis anti-corrosion method as described above are implemented.

[0121] Among them, the method implemented when the automobile chassis anti-corrosion program is executed can refer to the various embodiments of the automobile chassis anti-corrosion method of the present application, and will not be repeated here.

[0122] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0123] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0124] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" 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", "for example" or "for example" is intended to present related concepts in a specific way.

[0125] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of 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. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0126] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0127] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0128] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for anti-corrosion of automobile chassis, characterized in that: The method comprises: Acquire environmental information, vehicle driving information, and current corrosion information of the vehicle chassis, wherein the environmental information includes environmental humidity and road salt content, the vehicle driving information includes vehicle speed and vehicle acceleration, and the current corrosion information includes corrosion location and corrosion degree; Combining environmental information, vehicle driving information, and current corrosion information to obtain a corrosion prediction curve, wherein the corrosion prediction curve includes predicted corrosion information at multiple prediction moments; According to the corrosion prediction curve, anticorrosion agent is sprayed on the corrosion position whose corrosion degree is greater than the preset threshold at the specified prediction time.

2. The method for anticorrosion of automobile chassis according to claim 1, characterized in that: The method further comprises: Combine historical environmental information, vehicle driving information, and current corrosion information to train a corrosion prediction model; The corrosion prediction curve is obtained according to the corrosion prediction model.

3. The method for anticorrosion of automobile chassis according to claim 1, characterized in that: The environmental information also includes the environmental temperature and the road surface water level.

4. The method for anticorrosion of automobile chassis according to claim 1, characterized in that: The vehicle acceleration includes linear acceleration and steering angle acceleration.

5. The method for anticorrosion of automobile chassis according to claim 1, characterized in that: The method further comprises: A plurality of positions on the chassis of the automobile are preset as high-risk points, and the amount of preservative sprayed on the high-risk points is higher than the amount of preservative sprayed on other positions.

6. The method for anticorrosion of automobile chassis according to claim 1, characterized in that: The method further comprises: The higher the corrosion degree of the corrosive location at the specified prediction time, the higher the amount of anti-corrosion agent sprayed.

7. The method for anticorrosion of automobile chassis according to claim 1, characterized in that: The method further comprises: Determine whether the ambient humidity is greater than a humidity threshold and the road salt content is greater than a salt content threshold. If so, determine that the vehicle has entered a high-humidity and high-salt area; if not, determine that the vehicle has entered a low-humidity and low-salt area. The amount of preservative sprayed when a vehicle enters a high-humidity and high-salt area is higher than the amount of preservative sprayed when the vehicle enters a low-humidity and low-salt area.

8. The method for anticorrosion of automobile chassis according to claim 7, characterized in that: The method further comprises: When it is determined that the vehicle has entered a high humidity and high salt area from a low humidity and low salt area, the chassis of the vehicle is pre-sprayed with preservatives.

9. The method for anticorrosion of automobile chassis according to claim 1, characterized in that: The method further comprises: Before spraying the preservative, determine whether the vehicle speed is less than the speed threshold. If so, spray the preservative. If not, when the vehicle speed is greater than the speed threshold for longer than the time threshold, spray the preservative when the vehicle is started next time. When the vehicle speed is greater than the speed threshold for less than the time threshold, spray the preservative when the vehicle speed is not greater than the speed threshold.

10. An automobile chassis anti-corrosion device, characterized in that: include: A data acquisition module, which is used to obtain environmental information, vehicle driving information, and current corrosion information of the automobile chassis, wherein the environmental information includes environmental humidity and road salt content, the vehicle driving information includes vehicle speed and vehicle acceleration, and the current corrosion information includes corrosion location and corrosion degree; A data processing module, which is used to combine environmental information, vehicle driving information, and current corrosion information to obtain a corrosion prediction curve, wherein the corrosion prediction curve includes predicted corrosion information at multiple prediction moments; The anti-corrosion agent spraying module is used to spray the anti-corrosion agent on the corrosion position whose corrosion degree is greater than the preset threshold value at the specified prediction time according to the corrosion prediction curve.

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