Vehicle window glass descending control method and device, electronic equipment and storage medium

Abstract

The invention provides a vehicle window glass descending control method and device, electronic equipment and a storage medium. The method comprises the steps that whether a potential demand for passing through a frameless vehicle door exists or not is determined; if the potential requirement for passing through the frameless vehicle door exists, at least collecting the distance between a vehicle body and an obstacle and the figure information of a person who pre-passes through the frameless vehicle door, and determining the descending amount of vehicle window glass at least according to the distance between the vehicle body and the obstacle and the preset corresponding relation between the figure information of the person and the descending amount of the vehicle window glass; and according to the determined vehicle window glass descending amount, vehicle window glass installed on the frameless vehicle door is adjusted, so that the vehicle window glass descends according to the vehicle window glass descending amount. Therefore, when the potential requirement for passing through the frameless vehicle door exists, the vehicle window glass is adjusted according to the determined vehicle window glass descending amount, the vehicle roof abrasion is avoided, the space spacious degree when people get on and get off the vehicle is improved, and therefore the comfort of the people is improved.

Description

Technical Field

[0001] One or more embodiments of the present disclosure relate to the field of data processing technology, and in particular, to a vehicle window glass lowering control method, device, electronic device and storage medium. Background Art

[0002] Cars with frameless doors are now seen as a stylish and personal choice that appeals to consumers seeking a distinctive look. Cars with frameless doors are those that do not have traditional door frames, allowing the doors to close directly against the upper body of the vehicle rather than through the door frame. Frameless doors are often associated with high-end models such as coupes and sports cars because they provide a unique look and feel, with a cleaner and more continuous side profile than traditional framed doors, making them more streamlined and modern in appearance. In addition, cars with frameless doors can provide a wider field of vision and enhance the driving experience because they allow for lower window designs, thereby reducing wind resistance.

[0003] However, frameless doors do not have traditional window frames to fix the glass. When people get on and off a car equipped with frameless doors, if the window glass remains in place, it is easy to scratch the sealing strip of the body side, which will not only damage the sealing strip, but also may affect the durability of the window glass. In addition, if the window glass remains in place, it will also give people a sense of closed space, especially for obese people or people holding large objects, making it inconvenient for them to get on and off the car, making them uncomfortable to get on and off the car. Summary of the invention

[0004] The present disclosure provides a vehicle window glass lowering control method, the method comprising:

[0005] Determine if there is a potential need to pass through frameless doors;

[0006] If there is a potential need to pass through the frameless door, at least the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of lowering of the vehicle window glass according to at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of lowering of the vehicle window glass;

[0007] According to the determined window glass lowering amount, the window glass installed on the frameless door is adjusted so that the window glass is lowered according to the window glass lowering amount.

[0008] Optionally, if there is a potential need to pass through the frameless door, at least the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of lowering of the vehicle window glass according to at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of lowering of the vehicle window glass, including:

[0009] If there is a potential need to pass through the frameless door, the size of the handheld object of the person who is expected to pass through the frameless door, the distance between the vehicle body and the obstacle, and the body size information of the person who is expected to pass through the frameless door are collected to determine the amount of the window glass to be lowered according to a preset correspondence between the size of the handheld object, the distance between the vehicle body and the obstacle, the body size information of the person and the amount of the window glass to be lowered.

[0010] Optionally, the method further includes:

[0011] The preset corresponding relationships between the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information and the amount of window glass descent are convolved with their respective weights to generate a preset corresponding relationship between the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information and the amount of window glass descent.

[0012] Optionally, the method further includes:

[0013] If the size of the handheld object of the person is not collected, the weight of the distance between the vehicle body and the obstacle and the body information of the person are normalized and calculated to compensate for the weight of the size of the handheld object of the person that is not collected;

[0014] The preset corresponding relationships between the distance between the vehicle body and the obstacle, the body size information of the person and the amount of lowering of the vehicle window glass are convolved with their respective weights after parameter normalization to generate a preset corresponding relationship between the distance between the vehicle body and the obstacle, the body size information of the person and the amount of lowering of the vehicle window glass.

[0015] Optionally, the determining whether there is a potential need to pass through a frameless vehicle door includes:

[0016] Collecting visual sensor data to identify the eye vector direction of a person near the frameless door, and determining that there is a potential need to pass through the frameless door when the eye vector direction of the person points to the window for a preset period of time;

[0017] Collecting visual sensor data to identify the size of an object held by a person near the frameless door, and determining that there is a potential need to pass through the frameless door when the size of the object held by the person reaches a preset size and the person holds the object for a preset time; and / or,

[0018] Seat pressure sensor data is collected to identify a person's sitting posture, and when the person's sitting posture is twisted toward the vehicle window, it is determined that there is a potential need to pass through the frameless door.

[0019] Optionally, determining the amount of lowering of the vehicle window glass according to a preset correspondence between the distance between the vehicle body and the obstacle and the body information of the person and the amount of lowering of the vehicle window glass includes:

[0020] Determine the window glass lowering amount corresponding to the distance between the vehicle body and the obstacle and the person's body information, respectively, according to a preset correspondence relationship between the distance between the vehicle body and the obstacle and the person's body information and the window glass lowering amount;

[0021] Among the vehicle window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person, the largest vehicle window glass lowering amount is selected as the determined vehicle window glass lowering amount.

[0022] Optionally, the determining the window glass lowering amount corresponding to the distance between the vehicle body and the obstacle and the person's body information respectively according to a preset correspondence between the distance between the vehicle body and the obstacle and the person's body information and the window glass lowering amount includes:

[0023] Respectively determine the distance between the vehicle body and the obstacle and the error of the person's body information to obtain respective upper and lower boundary values;

[0024] According to the preset correspondence between the distance between the vehicle body and the obstacle, the body size information of the person and the amount of lowering of the vehicle window glass, and the respective upper and lower boundary values, the maximum value of the amount of lowering of the vehicle window glass corresponding to the distance between the vehicle body and the obstacle and the body size information of the person is obtained;

[0025] The maximum value of the window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person is used as the window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person.

[0026] The present disclosure also provides a vehicle window glass lowering control device, the device comprising:

[0027] A first determining unit, configured to determine whether there is a potential need to pass through the frameless vehicle door;

[0028] a second determining unit, configured to collect at least the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door if there is a potential need to pass through the frameless door, so as to determine the lowering amount of the vehicle window glass according to at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the lowering amount of the vehicle window glass;

[0029] The adjusting unit is used to adjust the window glass installed on the frameless door according to the determined window glass lowering amount, so that the window glass is lowered according to the window glass lowering amount.

[0030] The present disclosure also provides an electronic device, comprising a communication interface, a processor, a memory and a bus, wherein the communication interface, the processor and the memory are interconnected via the bus;

[0031] The memory stores machine-readable instructions, and the processor executes the above method by calling the machine-readable instructions.

[0032] The present disclosure also provides a machine-readable storage medium, wherein the machine-readable storage medium stores machine-readable instructions, and when the machine-readable instructions are called and executed by a processor, the above method is implemented.

[0033] Through the embodiments of the present disclosure, it is determined whether there is a potential need to pass through a frameless door; if there is a potential need to pass through the frameless door, at least the distance between the vehicle body and the obstacle and the body shape information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of the window glass to be lowered based on at least a preset correspondence between the distance between the vehicle body and the obstacle and the body shape information of the person and the amount of the window glass to be lowered; finally, according to the determined amount of the window glass to be lowered, the window glass installed on the frameless door is adjusted so that the window glass is lowered according to the amount of the window glass to be lowered.

[0034] Through the above method, the present disclosure enables a vehicle equipped with frameless doors to, when there is a potential need to pass through the frameless doors, at least collect the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door, and determine the amount of the window glass to be lowered based on at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of the window glass to be lowered, thereby avoiding scratches between the window glass and the sealing strip of the side of the vehicle body, thereby improving the durability of the window glass; in addition, by determining the specific amount of the window glass to be lowered based on the preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of the window glass to be lowered, it is possible to achieve precise adjustment of the window glass to be lowered based on the parameter information, thereby improving the convenience and comfort of people when getting on and off the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1is a flow chart of a vehicle window glass lowering control method shown in an exemplary embodiment;

[0037] Figure 2 is a schematic diagram of another vehicle window glass lowering control method shown in an exemplary embodiment;

[0038] Figure 3 is a structural diagram of a vehicle window glass lowering control system shown in an exemplary embodiment;

[0039] Figure 4 is a hardware structure diagram of an electronic device shown in an exemplary embodiment;

[0040] Figure 5 The figure is a block diagram of a vehicle window glass lowering control device shown in an exemplary embodiment. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the technical solutions in the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present disclosure.

[0042] It should be noted that: in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in this disclosure. In some other embodiments, the steps included in the method may be more or less than those described in this disclosure. In addition, a single step described in this disclosure may be decomposed into multiple steps for description in other embodiments; and multiple steps described in this disclosure may also be combined into a single step for description in other embodiments.

[0043] Cars with frameless doors are now seen as a stylish and personal choice that appeals to consumers seeking a distinctive look. Cars with frameless doors are those that do not have traditional door frames, allowing the doors to close directly against the upper body of the vehicle rather than through the door frame. Frameless doors are often associated with high-end models such as coupes and sports cars because they provide a unique look and feel, with a cleaner and more continuous side profile than traditional framed doors, making them more streamlined and modern in appearance. In addition, cars with frameless doors can provide a wider field of vision and enhance the driving experience because they allow for lower window designs, thereby reducing wind resistance.

[0044] However, frameless doors do not have traditional window frames to fix the glass. When people get on and off a car equipped with frameless doors, if the window glass remains in place, it is easy to scratch the sealing strip of the car body side, which will not only damage the sealing strip, but also may affect the durability of the window glass. In addition, if the window glass remains in place, it will also give people a sense of closed space, especially for obese people or people holding large objects, making them uncomfortable when getting on and off the car.

[0045] In view of this, the present disclosure aims to propose a technical solution capable of controlling the window glass installed on a frameless vehicle door to be adjusted downward when there is a potential need to pass through the frameless vehicle door.

[0046] This technical solution first determines whether there is a potential need to pass through the frameless door; then, if there is a potential need to pass through the frameless door, at least the distance between the vehicle body and the obstacle and the body shape information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of the window glass to be lowered based on at least a preset correspondence between the distance between the vehicle body and the obstacle and the body shape information of the person and the amount of the window glass to be lowered; further, based on the determined amount of the window glass to be lowered, the window glass installed on the frameless door is adjusted so that the window glass is lowered according to the amount of the window glass to be lowered.

[0047] For example, vehicle A is equipped with a frameless door. The control system deployed on vehicle A maintains the corresponding relationship between the body size of the person and the amount of window glass lowering, as well as the corresponding relationship between the distance between the vehicle body and the obstacle and the amount of window glass lowering. The body size of the person and the distance between the vehicle body and the obstacle are both parameters related to the amount of window glass lowering. The visual sensor of vehicle A is collected, and the user's action of preparing to get off the vehicle is analyzed based on the visual sensor data, thereby determining that there is a need to pass through the frameless door; at this time, the body size data of the person is collected to obtain that the person is fat, and the distance between the vehicle body and the obstacle is collected to obtain that the distance between the vehicle body and the obstacle is 5m; then, according to the amount of window glass lowering corresponding to the fat body of the person, which is 10cm, and the amount of window glass lowering corresponding to the distance between the vehicle body and the obstacle, which is 5m, the final amount of window glass lowering of 15cm is determined. Finally, according to the final amount of window glass lowering of 15cm determined, the window is adjusted to lower by 15cm.

[0048] It can be seen that, through the above method, the present disclosure enables a vehicle equipped with frameless doors to, when there is a potential need to pass through the frameless doors, at least collect the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door, so as to determine the amount of the window glass to be lowered based on at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of the window glass to be lowered, thereby avoiding scratches between the window glass and the sealing strip of the side of the vehicle body, thereby improving the durability of the window glass; in addition, by determining the specific amount of the window glass to be lowered based on the preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of the window glass to be lowered, it is possible to achieve precise adjustment of the window glass lowering based on the parameter information, thereby improving the convenience and comfort of people when getting on and off the vehicle.

[0049] The present disclosure is described below through specific embodiments in combination with specific application scenarios.

[0050] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a vehicle window glass lowering control method shown in an exemplary embodiment. The method may perform the following steps:

[0051] Step 102: Determine whether there is a potential need to pass through the frameless door.

[0052] For example, see Figure 2 , Figure 2 FIG. 1 is a schematic diagram of another vehicle window glass lowering control method according to an exemplary embodiment. Figure 2 As shown, the sensors installed on the vehicle are responsible for collecting sensor data, and the vehicle control system is responsible for reading the data collected by the sensors. For example, if the visual sensor detects that a person is holding a large number of objects and looking outside the vehicle, it can be determined that there is a potential need to pass through the frameless door.

[0053] Among them, the sensor is a device on the vehicle used to detect and measure various physical quantities (such as light, temperature, pressure, distance, etc.). Sensors can be of various types, such as visual sensors: such as cameras, used to capture images and videos, analyze human behavior and the surrounding environment. For example, proximity sensors: such as infrared sensors, used to detect the proximity of objects. For example, pressure sensors: used to detect whether there is a pressure change near the door, which may indicate that someone or an object is approaching. The present disclosure does not limit the types and quantities of sensors carried on the vehicle. The data collected by the sensor can be a digital signal or an analog signal, which needs to be read and processed by the vehicle's control system. The vehicle control system includes a processing unit and a storage unit. The processing unit is a computing unit inside the vehicle, usually a central processing unit, which is responsible for receiving and processing sensor data, and analyzing human behavior based on these data, such as whether the person is holding an object or looking outside the vehicle, so as to determine whether there is a potential need to pass through the frameless door.

[0054] Step 104: If there is a potential need to pass through the frameless door, at least the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of the window glass to be lowered based on at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of the window glass to be lowered.

[0055] For example, Figure 2 As shown, if the processing unit of the controller determines that there is a potential need to pass through the frameless door, it collects the data of the person's body shape and obtains that the person is fat, and collects the distance between the body and the obstacle and obtains that the distance between the body and the obstacle is 5m; then, based on the window glass lowering amount of 10cm corresponding to the fat person's body and the window glass lowering amount of 15cm corresponding to the distance between the body and the obstacle of 5m, the final window glass lowering amount of 15cm is determined.

[0056] Among them, the potential demand through the frameless door refers to the vehicle's control system determining whether there is a need to open the door based on the sensor data. This demand may be based on the behavior of the person, environmental conditions, or other factors. The amount of window glass descent refers to the distance the window needs to be lowered before the door is opened. This amount can be adjusted based on a variety of factors to ensure that the door can be opened smoothly while avoiding interference with people or surrounding objects. Parameters related to the amount of window glass descent are variables that affect the amount of window glass descent. They can be physical quantities or features extracted from sensor data. In this case, these parameters include the size of the person and the distance between the vehicle body and the obstacle, which can be measured and determined by visual sensors.

[0057] In fact, there are many parameters that affect the amount of window glass descent, such as the body size of the person, the size of the person's handheld items, the person's body movements, the person's line of sight, the person's distance from the window, the seat pressure distribution, and the distance between the vehicle body and the obstacle. The present disclosure does not limit the number and type of parameters related to the amount of window glass descent. The mathematical or logical relationship between the amount of window glass descent and the related parameters can be linear, nonlinear, or learned through a machine learning model.

[0058] Step 106: According to the determined window glass lowering amount, the window glass installed on the frameless door is adjusted so that the window glass is lowered according to the window glass lowering amount.

[0059] For example, based on the determined final window glass lowering amount of 15 cm, the window glass is adjusted to lower by 15 cm.

[0060] Here, the car window refers to a transparent glass panel installed on the car door, which can be raised or lowered to allow air circulation or closed to keep the interior environment of the car closed. Car window glass adjustment is the process of accurately adjusting the position of the car window glass according to the instructions of the control system, which may involve mechanical movement, such as motor-driven gears and slide rail systems. Some advanced vehicles may use position sensors to detect the current position of the car window glass. This helps to ensure that the car window glass can be accurately moved to the desired position, rather than simply rising or falling. The present disclosure does not limit the specific control method for controlling the descent of the car window glass.

[0061] In this embodiment, by analyzing these parameters and corresponding relationships, the controller can determine an appropriate amount of window glass descent to ensure the accuracy and adaptability of the amount of window glass descent, thereby improving the comfort and spaciousness when people get on and off the vehicle.

[0062] In one embodiment shown, if there is a potential need to pass through the frameless door, at least the distance between the vehicle body and the obstacle and the stature information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of lowering of the window glass according to at least a preset correspondence between the distance between the vehicle body and the obstacle, the stature information of the person and the amount of lowering of the window glass, including: if there is a potential need to pass through the frameless door, the size of the handheld object of the person who is expected to pass through the frameless door, the distance between the vehicle body and the obstacle, and the stature information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of lowering of the window glass according to the preset correspondence between the size of the handheld object of the person, the distance between the vehicle body and the obstacle, the stature information of the person and the amount of lowering of the window glass.

[0063] For example, if the processing unit of the controller determines that there is a potential need to pass through a frameless door, it collects the data of the person's body shape and obtains that the person is fat, collects the distance between the body of the car and the obstacle, obtains that the distance between the body of the car and the obstacle is 5m, and then collects the size of the person's handheld object as 20cm; then, based on the 10cm lowering amount of the window glass corresponding to the fat person's body, the 15cm lowering amount of the window glass corresponding to the distance of 5m from the body of the car to the obstacle, and the 15cm lowering amount of the window glass corresponding to the size of 20cm of the person's handheld object, the final 15cm lowering amount of the window glass is determined.

[0064] In specific implementation, the body size of people can be defined into five levels: thin, thin, normal, fat, and obese, and the corresponding window glass lowering amount can be determined for each level. The size of the object held by the person can be defined into three levels, and the corresponding window glass lowering amount can be determined for each level. The distance between the vehicle body and the obstacle can be defined into three levels, and the corresponding window glass lowering amount can be determined for each level.

[0065] Body size Window glass lowering amount thin 5cm Thin 10cm normal 15cm Fat 25cm obesity 35cm

[0066] Table 1

[0067] Object size Window glass lowering amount <15cm 5cm 15~30cm 15cm >30cm 35cm

[0068] Table 2

[0069] Distance from vehicle to obstacle Window glass lowering amount ＞7m 5cm 3～7m 15cm ＜3m 35cm

[0070] Table 3

[0071] As shown in Table 1, in order to provide a more spacious space for fat people to enter and exit, the window glass descent amount corresponding to thin people is set to 5cm; the window glass descent amount corresponding to thin people is set to 10cm; the window glass descent amount corresponding to normal people is set to 15cm; the window glass descent amount corresponding to fat people is set to 25cm; and the window glass descent amount corresponding to obese people is set to 35cm. As shown in Table 2, in order to provide a more spacious space for people holding larger objects to enter and exit, the window glass descent amount corresponding to the maximum size of the object held by the person is less than 15cm is set to 5cm; the window glass descent amount corresponding to the size of the object held by the person is 15-30cm is set to 15cm; and the window glass descent amount corresponding to the size of the object held by the person is greater than 30cm is set to 35cm. As shown in Table 3, in order to provide more space for people to enter and exit the vehicle when the vehicle body is close to the obstacle and avoid the space being too narrow and oppressive, the corresponding window glass lowering amount is set to 5 cm when the distance between the vehicle body and the obstacle is greater than 7 m; the corresponding window glass lowering amount is set to 15 cm when the distance between the vehicle body and the obstacle is 3 to 7 m; and the corresponding window glass lowering amount is set to 35 cm when the distance between the vehicle body and the obstacle is less than 3 m.

[0072] In one embodiment shown, the method also includes: convolving the corresponding relationships between the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information and the amount of window glass descent with their respective weights, to generate a preset corresponding relationship between the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information and the amount of window glass descent.

[0073] For example, among the three physical parameters of the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information, the preset weight of each physical parameter is set. Specifically, as shown in Table 4, Table 4 shows an example table of the weights of the three parameters of the person's body volume, the size of the person's handheld object, and the distance between the vehicle body and the obstacle. It can be seen that the weights of the three parameters of the person's body volume, the size of the person's handheld object, and the distance between the vehicle body and the obstacle are 20%, 50%, and 30%, respectively.

[0074] Parameters Weight Personnel size 20％ Size of objects held by people 50％ Distance from vehicle to obstacle 30％

[0075] Table 4

[0076] Then, the corresponding relationship between each parameter (such as the distance between the vehicle body and the obstacle) and the amount of window glass lowering (such as F 障碍物距离 ), and the corresponding preset weight R 障碍物距离 Perform convolution to obtain the window glass drop function F of the single parameter (such as the distance between the vehicle body and the obstacle) 障碍物距离&车窗玻璃下降量 .

[0077] It should be noted that the weight is determined by the detection accuracy of the sensors corresponding to each parameter. For example, if the distance between the vehicle body and the obstacle is detected by ultrasonic radar, the detection accuracy is high, and the weight of this parameter is relatively high; if the body volume is estimated by a visual sensor, the weight of this parameter is relatively low. In addition, there may be other weight setting methods, which are not limited by the present disclosure.

[0078] In one embodiment shown, the method also includes: if the size of the person's handheld object is not collected, performing parameter normalization calculation on the weights of the distance between the vehicle body and the obstacle and the person's body information to compensate for the weight of the size of the person's handheld object that has not been collected; convolving the corresponding relationship between the distance between the vehicle body and the obstacle and the person's body information at different preset levels and the amount of window glass descent with the weights after parameter normalization, respectively, to generate a preset corresponding relationship between the distance between the vehicle body and the obstacle and the person's body information and the amount of window glass descent.

[0079] For example, in some cases, the person does not hold an object, so the maximum size of the object held by the person cannot be collected. Only the distance between the vehicle body and the obstacle and the person's body volume are collected. According to Table 4, the weight corresponding to the person's body volume is 20%, and the weight corresponding to the distance between the vehicle body and the obstacle is 30%. Since the sum of the weights is less than 100%, the weights of these two parameters need to be normalized, that is, the weights are increased proportionally so that the sum of the weights reaches 100%.

[0080] The weights corresponding to the body volume of the personnel are normalized to obtain the updated weights corresponding to the body volume of the personnel:

[0081]

[0082] The weight corresponding to the distance between the vehicle body and the obstacle is normalized, and the updated weight corresponding to the distance between the vehicle body and the obstacle is obtained as follows:

[0083]

[0084] Next, the corresponding relationship between each parameter (such as the distance between the vehicle body and the obstacle) and the amount of window glass lowering (such as F障碍物距离 ), and convolve them with their respective normalized weights (such as the weight of the distance from the vehicle body to the obstacle after normalization is 60%) to obtain the window glass lowering function F of the single parameter (such as the distance from the vehicle body to the obstacle) 障碍物距离&车窗玻璃下降量 .

[0085] Among them, parameter normalization is a processing method used to adjust the weights of some collected parameters to compensate for the parameters that were not collected. Parameter normalization ensures that the sum of the weights of all collected parameters is 100%, so that the weight distribution is reasonable and will not be biased by missing data. After parameter normalization, the original weights are adjusted to reflect the new weight distribution. These updated weights will be used in subsequent calculations and decision-making processes.

[0086] In one embodiment shown, determining whether there is a need to pass through the frameless door based on the sensor data includes: collecting visual sensor data to identify the eye vector direction of a person near the frameless door, and determining that there is a need to pass through the frameless door when the eye vector direction of the person points to the window and reaches a preset time; collecting visual sensor data to identify the size of a handheld object of a person near the frameless door, and determining that there is a potential need to pass through the frameless door when the size of the handheld object of the person reaches a preset size and the person holds the object for a preset time; and / or collecting seat pressure sensor data to identify the sitting posture of the person, and determining that there is a potential need to pass through the frameless door when the sitting posture of the person is twisted toward the window.

[0087] For example, eye vector direction recognition: When a person's eyes are fixed on the vehicle's frameless door, the visual sensor in the vehicle captures the person's facial and eye movements, and uses image processing algorithms to analyze the person's eye movements to determine that the person's eye vector direction is pointing toward the window. If the person's eyes stay on the window for more than a preset time (e.g., 5 seconds), the system interprets this as a signal that the person wants to enter the vehicle, thereby determining that there is a need to open the frameless door;

[0088] Maximum size recognition of handheld objects: The user is holding a large shopping bag. The visual sensor captures the image of the object held by the user through a high-resolution camera and estimates the size of the object using computer vision technology. It is found that the size exceeds the preset size (e.g. 15 cm) and the person holds the bag for a longer time than the preset time (e.g. 10 seconds). The system interprets this as a signal that the person is ready to get off the vehicle, thus determining that there is a potential need to pass through the frameless door.

[0089] Sitting posture recognition: The person has sat on the vehicle seat, and the pressure sensor on the seat detects the person's body weight distribution and pressure points, and recognizes the person's sitting posture by analyzing this data. If the person's body is obviously twisted toward the window, the system interprets this as a signal that the person wants to get off the vehicle, thereby determining that there is a potential need to pass through the frameless door.

[0090] In these situations, the system can automatically lower the windows to the appropriate position so that people can easily interact with the outside world or get in and out of the vehicle.

[0091] In one embodiment shown, the amount of the window glass to be lowered is determined based on the correspondence between at least one parameter related to the amount of the window glass to be lowered and the amount of the window glass to be lowered, including: determining the amount of the window glass to be lowered according to a preset correspondence between the distance from the vehicle body to the obstacle and the body information of the person and the amount of the window glass to be lowered, including: determining the amount of the window glass to be lowered corresponding to the distance from the vehicle body to the obstacle and the body information of the person respectively according to the preset correspondence between the distance from the vehicle body to the obstacle and the body information of the person and the amount of the window glass to be lowered; and selecting the largest amount of the window glass to be lowered as the determined amount of the window glass to be lowered.

[0092] For example, there are three parameters related to the amount of window glass descent, namely, the body volume of the person, the maximum size of the object held by the person, and the distance between the vehicle body and the obstacle. According to Tables 1 to 4, the corresponding relationship between each parameter related to the amount of window glass descent and the amount of window glass descent and their respective weights can be obtained. The corresponding relationship between each parameter (such as obstacle distance) and the amount of window glass descent (such as F 障碍物距离 ), and F 环境 and the corresponding preset weight R 障碍物距离 By performing convolution in sequence, we can obtain the window glass drop function F for a single parameter (such as the distance between the vehicle body and the obstacle): 障碍物距离&车窗玻璃下降量 ; Perform the above process on each parameter related to the amount of window glass descent. The corresponding relationship between each parameter, weight and the amount of window glass descent will form a matrix as a whole. This matrix is ​​the calibration matrix, that is:

[0093] Calibration matrix F 参量 =[F 障碍物距离&车窗玻璃下降量 , F 身材体积&车窗玻璃下降量 , F 物体最大尺寸&车窗玻璃下降量 , …].

[0094] The distance between the vehicle and the obstacle is 2m, the person is fat, and the size of the object held by the person is 28cm. Substituting into the above calibration matrix, we get, for example, F 参量=[10.5cm, 5cm, 7.5cm, …] calibration result. Among them, 10.5cm is the window glass lowering amount corresponding to the parameter of the distance between the vehicle body and the obstacle in the calibration matrix, 5cm is the window glass lowering amount corresponding to the parameter of the body volume in the calibration matrix, and 7.5cm is the window glass lowering amount corresponding to the parameter of the size of the object held by the person in the calibration matrix. Among the window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle, the body volume of the person and the size of the object (10.5cm, 5cm, 7.5cm), the largest window glass lowering amount 10.5cm is selected as the determined window glass lowering amount.

[0095] In this embodiment, the window glass lowering amount corresponding to each parameter of at least one parameter related to the window glass lowering amount under specific environmental conditions is considered, and then the maximum window glass lowering amount is selected therefrom, thereby ensuring that the window is lowered as much as possible, giving people a more comfortable experience and making it easier for people to get on and off the vehicle.

[0096] In one embodiment shown, the method determines the window glass lowering amount corresponding to the distance between the vehicle body and the obstacle and the person's body shape information respectively based on the preset correspondence between the distance between the vehicle body and the obstacle and the person's body shape information and the window glass lowering amount, including: respectively determining the errors between the distance between the vehicle body and the obstacle and the person's body shape information to obtain respective upper and lower boundary values; obtaining the maximum value of the window glass lowering amount corresponding to the distance between the vehicle body and the obstacle and the person's body shape information respectively based on the preset correspondence between the distance between the vehicle body and the obstacle and the person's body shape information and the window glass lowering amount, as well as the respective upper and lower boundary values; and taking the maximum value of the window glass lowering amount corresponding to the distance between the vehicle body and the obstacle and the person's body shape information respectively as the window glass lowering amount corresponding to the distance between the vehicle body and the obstacle and the person's body shape information respectively.

[0097] For example, the error of the distance between the vehicle body and the obstacle is determined to be 8cm, the error of the size of the object held by the person is 3cm, and the error of the person's body volume is one level higher or lower. The distance between the vehicle body and the obstacle is collected to be 6.98m, the size of the object held by the person is 28cm, and the person's body volume is fat. After calculation, the upper and lower boundary values ​​of the distance between the vehicle body and the obstacle are 7.06m and 6.90m. Looking up Table 3, it can be seen that the upper and lower boundary values ​​of the distance between the vehicle body and the obstacle correspond to the amount of window glass descent corresponding to 5cm and 15cm, respectively. The larger 15cm is the amount of window glass descent corresponding to the distance between the vehicle body and the obstacle. The size of the object held by the person and the body volume of the person are also determined by similar methods to determine the amount of window glass descent corresponding to them.

[0098] In this embodiment, the error of each parameter of at least one parameter related to the amount of window glass lowering is considered, the corresponding amount of window glass lowering is determined according to the upper and lower boundary values ​​of each parameter, and then the maximum amount of window glass lowering is selected from them, thereby ensuring that the window is lowered as much as possible, giving people a more comfortable experience and making it easier for people to get on and off the vehicle.

[0099] In order to help those skilled in the art better understand this method, Figure 3 This method is described.

[0100] See also Figure 3 , Figure 3 FIG. 1 is a schematic diagram of a vehicle window glass lowering control system according to an exemplary embodiment. Figure 3 As shown, first, it is necessary to determine the corresponding relationship between the parameters and the amount of the window glass lowering, so as to construct a calibration matrix, wherein first, it is necessary to determine the parameters related to the amount of the window glass lowering, such as the body volume of the person, the distance between the body and the obstacle, etc., and then determine the weight of each parameter, such as the weight of the body volume of the person is 20%, and the weight of the distance between the body and the obstacle is 30%. The corresponding relationship between each parameter and the amount of the window glass lowering is calibrated to obtain the amount of the window glass lowering corresponding to each parameter and each level, and then obtain the calibration matrix. Secondly, based on the data collected by the visual sensor, pressure sensor, ultrasonic sensor and radar rangefinder, it is determined whether there is a potential need to pass through the frameless door. For example, if the visual sensor recognizes the direction of the eyeball vector of the person and the direction of the body rotation toward the outside of the car, or the pressure sensor collects the uneven pressure distribution of the seat of the person, and the pressure is greater on the side close to the window, then it is determined that there is a potential need to pass through the frameless door. Then, the parameters related to the amount of window glass descent are collected by the visual sensor, pressure sensor, ultrasonic sensor and radar rangefinder. For example, the ultrasonic sensor (probe is usually arranged at the front and rear bumpers of the vehicle) detects the distance between the vehicle body and the obstacle. In order to ensure accuracy, it may also be necessary to consider the differences outside the vehicle body, including the front, middle and rear of the vehicle, and then perform detection angle correction and data confidence correction. Then, based on the collected parameters and the corresponding relationship between the parameters and the amount of window glass descent, the amount of window glass descent is determined. Finally, the vehicle control system adjusts the window according to the amount of window glass descent.

[0101] Corresponding to the above-mentioned embodiment of the vehicle window glass lowering control method, the present disclosure also provides an embodiment of a vehicle window glass lowering control device.

[0102] See also Figure 4 , Figure 4It is a hardware structure diagram of an electronic device shown in an exemplary embodiment. At the hardware level, the device includes a processor 402, an internal bus 404, a network interface 406, a memory 408 and a non-volatile memory 410, and of course may also include other required hardware. One or more embodiments of the present disclosure can be implemented based on software, such as the processor 402 reading the corresponding computer program from the non-volatile memory 410 into the memory 408 and then running it. Of course, in addition to the software implementation, one or more embodiments of the present disclosure do not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is to say, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0103] See also Figure 5 , Figure 5 FIG. 5 is a block diagram of a vehicle window glass lowering control device according to an exemplary embodiment. The vehicle window glass lowering control device 500 can be applied to Figure 4 In the electronic device shown, the technical solution of the present disclosure is implemented.

[0104] The device comprises:

[0105] A first determining unit 502 is used to determine whether there is a potential need to pass through the frameless door;

[0106] The second determining unit 504 is configured to collect at least the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door if there is a potential need to pass through the frameless door, so as to determine the amount of lowering of the vehicle window glass according to at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of lowering of the vehicle window glass;

[0107] The adjusting unit 506 is used to adjust the window glass installed on the frameless door according to the determined window glass lowering amount, so that the window glass is lowered according to the window glass lowering amount.

[0108] In some embodiments, the second determining unit includes:

[0109] The first collection subunit is used for collecting the size of the handheld object of the person who is expected to pass through the frameless door, the distance between the vehicle body and the obstacle, and the body information of the person who is expected to pass through the frameless door if there is a potential need to pass through the frameless door, so as to determine the amount of the window glass to be lowered according to a preset correspondence between the size of the handheld object of the person, the distance between the vehicle body and the obstacle, the body information of the person and the amount of the window glass to be lowered.

[0110] In some embodiments, the apparatus further comprises:

[0111] The first convolution unit is used to convolve the corresponding relationships between the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information and the amount of lowering of the vehicle window glass with their respective weights, so as to generate a preset corresponding relationship between the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information and the amount of lowering of the vehicle window glass.

[0112] In some embodiments, the apparatus further comprises:

[0113] a normalization unit, configured to perform parameter normalization calculation on the weight of the distance between the vehicle body and the obstacle and the body size information of the person if the size of the handheld object of the person is not collected, so as to compensate for the weight of the handheld object size of the person that is not collected;

[0114] The second convolution unit is used to convolve the corresponding relationship between the preset different levels of the distance between the vehicle body and the obstacle and the body size information of the person and the amount of lowering of the vehicle window glass with the weights after parameter normalization, so as to generate a preset corresponding relationship between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of lowering of the vehicle window glass.

[0115] In some embodiments, the first determining unit includes:

[0116] A second acquisition subunit is used to collect visual sensor data to identify the eye vector direction of a person near the frameless door, and determine that there is a potential need to pass through the frameless door when the eye vector direction of the person points to the window for a preset time.

[0117] a third acquisition subunit, configured to acquire visual sensor data to identify the size of an object held by a person near the frameless door, and determine that there is a potential need to pass through the frameless door when the size of the object held by the person reaches a preset size and the person holds the object for a preset time; and / or,

[0118] The fourth acquisition subunit is used to collect seat pressure sensor data to identify the sitting posture of the person, and in the case where the sitting posture of the person is twisted toward the window, it is determined that there is a potential need to pass through the frameless door.

[0119] In some embodiments, the second determining unit includes:

[0120] a determination subunit, configured to determine the window glass lowering amount corresponding to the distance between the vehicle body and the obstacle and the person's body information, respectively, according to a preset correspondence between the distance between the vehicle body and the obstacle and the person's body information and the window glass lowering amount;

[0121] The selection subunit is used to select the maximum window glass lowering amount as the determined window glass lowering amount among the window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person.

[0122] In some embodiments, the determining subunit is specifically used to:

[0123] Respectively determine the distance between the vehicle body and the obstacle and the error of the person's body information to obtain respective upper and lower boundary values;

[0124] According to the preset correspondence between the distance between the vehicle body and the obstacle, the body size information of the person and the amount of lowering of the vehicle window glass, and the respective upper and lower boundary values, the maximum value of the amount of lowering of the vehicle window glass corresponding to the distance between the vehicle body and the obstacle and the body size information of the person is obtained;

[0125] The maximum value of the window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person is used as the window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person.

[0126] The implementation process of the functions and effects of each unit in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned method, and will not be repeated here.

[0127] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can refer to the partial description of the method embodiments. The device embodiments described above are only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the disclosed solution. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0128] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer, which may be in the form of a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email transceiver, a game console, a tablet computer, a wearable device or a combination of any of these devices.

[0129] In a typical configuration, a computer includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0130] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0131] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, disk storage, quantum memory, graphene-based storage media or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0132] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0133] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0134] The above describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0135] The terms used in one or more embodiments of the present disclosure are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present disclosure. The singular forms of "a", "said" and "the" used in one or more embodiments of the present disclosure and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0136] It should be understood that although the terms first, second, third, etc. may be used to describe various information in one or more embodiments of the present disclosure, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determination".

[0137] The above description is only a preferred embodiment of one or more embodiments of the present disclosure and is not intended to limit one or more embodiments of the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present disclosure shall be included in the scope of protection of one or more embodiments of the present disclosure.

Claims

1. A vehicle window glass lowering control method, characterized in that: The method comprises: Determine if there is a potential need to pass through frameless doors; If there is a potential need to pass through the frameless door, at least the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of lowering of the vehicle window glass according to at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of lowering of the vehicle window glass; According to the determined window glass lowering amount, the window glass installed on the frameless door is adjusted so that the window glass is lowered according to the window glass lowering amount.

2. The method according to claim 1, characterized in that If there is a potential need to pass through the frameless door, at least the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door are collected, so as to determine the amount of lowering of the vehicle window glass according to at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the amount of lowering of the vehicle window glass, including: If there is a potential need to pass through the frameless door, the size of the handheld object of the person who is expected to pass through the frameless door, the distance between the vehicle body and the obstacle, and the body size information of the person who is expected to pass through the frameless door are collected to determine the amount of the window glass to be lowered according to a preset correspondence between the size of the handheld object, the distance between the vehicle body and the obstacle, the body size information of the person and the amount of the window glass to be lowered.

3. The method according to claim 2, characterized in that The method further comprises: The preset corresponding relationships between the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information and the amount of window glass descent are convolved with their respective weights to generate a preset corresponding relationship between the size of the person's handheld object, the distance between the vehicle body and the obstacle, and the person's body information and the amount of window glass descent.

4. The method according to claim 3, characterized in that The method further comprises: If the size of the handheld object of the person is not collected, the weight of the distance between the vehicle body and the obstacle and the body information of the person are normalized and calculated to compensate for the weight of the size of the handheld object of the person that is not collected; The preset corresponding relationships between the distance between the vehicle body and the obstacle, the body size information of the person and the amount of lowering of the vehicle window glass are convolved with their respective weights after parameter normalization to generate a preset corresponding relationship between the distance between the vehicle body and the obstacle, the body size information of the person and the amount of lowering of the vehicle window glass.

5. The method according to claim 1, characterized in that The determination of whether there is a potential need to pass through a frameless door includes: Collecting visual sensor data to identify the eye vector direction of a person near the frameless door, and determining that there is a potential need to pass through the frameless door when the eye vector direction of the person points to the window for a preset period of time; Collecting visual sensor data to identify the size of an object held by a person near the frameless door, and determining that there is a potential need to pass through the frameless door when the size of the object held by the person reaches a preset size and the person holds the object for a preset time; and / or, Seat pressure sensor data is collected to identify a person's sitting posture, and when the person's sitting posture is twisted toward the vehicle window, it is determined that there is a potential need to pass through the frameless door.

6. The method according to claim 1, characterized in that The determining the amount of lowering of the vehicle window glass according to the preset correspondence between the distance between the vehicle body and the obstacle and the body information of the person and the amount of lowering of the vehicle window glass comprises: Determine the window glass lowering amount corresponding to the distance between the vehicle body and the obstacle and the person's body information, respectively, according to a preset correspondence relationship between the distance between the vehicle body and the obstacle and the person's body information and the window glass lowering amount; Among the vehicle window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person, the largest vehicle window glass lowering amount is selected as the determined vehicle window glass lowering amount.

7. The method according to claim 6, characterized in that The determining, according to a preset correspondence between the distance between the vehicle body and the obstacle, the body size information of the person, and the lowering amount of the vehicle window glass corresponding to the distance between the vehicle body and the obstacle and the body size information of the person, respectively, comprises: Respectively determine the distance between the vehicle body and the obstacle and the error of the person's body information to obtain respective upper and lower boundary values; According to the preset correspondence between the distance between the vehicle body and the obstacle, the body size information of the person and the amount of lowering of the vehicle window glass, and the respective upper and lower boundary values, the maximum value of the amount of lowering of the vehicle window glass corresponding to the distance between the vehicle body and the obstacle and the body size information of the person is obtained; The maximum value of the window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person is used as the window glass lowering amounts corresponding to the distance between the vehicle body and the obstacle and the body size information of the person.

8. A vehicle window glass lowering control device, characterized in that: The device comprises: A first determining unit, configured to determine whether there is a potential need to pass through the frameless vehicle door; a second determining unit, configured to collect at least the distance between the vehicle body and the obstacle and the body size information of the person who is expected to pass through the frameless door if there is a potential need to pass through the frameless door, so as to determine the lowering amount of the vehicle window glass according to at least a preset correspondence between the distance between the vehicle body and the obstacle and the body size information of the person and the lowering amount of the vehicle window glass; The adjusting unit is used to adjust the window glass installed on the frameless door according to the determined window glass lowering amount, so that the window glass is lowered according to the window glass lowering amount.

9. An electronic device, characterized in that: It includes a communication interface, a processor, a memory and a bus, wherein the communication interface, the processor and the memory are interconnected via the bus; The memory stores machine-readable instructions, and the processor executes the method according to any one of claims 1 to 7 by calling the machine-readable instructions.

10. A machine-readable storage medium, characterized in that: The machine-readable storage medium stores machine-readable instructions, and when the machine-readable instructions are called and executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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