Vehicle abnormity early warning method and vehicle abnormity early warning equipment
By obtaining behavioral parameters and information in the vehicle environment, calculating abnormal risk levels and performing early warning operations, the problem of low accuracy of vehicle abnormal warning is solved, and a more efficient early warning effect is achieved.
Patent Information
- Application Number
- CN202510605462.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-12
- Publication Date
- 2025-08-12
AI Technical Summary
The prior art has low accuracy in vehicle abnormal warnings, which are prone to false warnings.
By obtaining the target behavior parameters and environmental information generated by the target object in the environment in which the vehicle is located, determining the reference behavior parameters, and calculating the abnormal risk level based on the target behavior parameters and reference behavior parameters, performing early warning operations when the risk level exceeds the preset threshold, including a variety of early warning strategies such as playing warning voices, notifying contacts, etc.
It improves the accuracy of vehicle abnormal warning, reduces the occurrence of false warnings, and enhances the ability to respond to vehicle abnormalities in a timely manner.
Smart Images
Figure CN120472622A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle abnormality early warning method and vehicle abnormality early warning device. Background Art
[0002] With the profound transformation of the global new energy vehicle industry, electric vehicles, with their intelligent and connected technologies, are reshaping the automotive safety and protection system. Parking battery life is no longer a bottleneck. Consequently, active safety features such as Sentry Mode and Park Guard systems have emerged, proactively identifying and warning against various risk events, including scratches, collisions, forced demolition, and unusual intrusions.
[0003] However, in the actual vehicle abnormality warning process, the related technology may produce false warnings.
[0004] It can be seen that the relevant technologies for warning of vehicle abnormalities still have the problem of low warning accuracy.
[0005] Application Contents
[0006] In view of this, one of the purposes of this application is to provide a vehicle abnormality warning method, a vehicle abnormality warning system, a vehicle abnormality warning device, a computer-readable storage medium and a computer program product, which can improve the accuracy of vehicle warning.
[0007] To achieve the above objectives, the technical solution of this application is implemented as follows:
[0008] In a first aspect, an embodiment of the present application provides a vehicle abnormality early warning method, the vehicle abnormality early warning method comprising:
[0009] Obtain target behavior parameters when a target object in the vehicle's environment produces a target behavior on the vehicle, as well as environmental information of the environment;
[0010] Based on the environmental information, determining reference behavior parameters corresponding to the target behavior;
[0011] Determine the abnormal risk level of the vehicle based on the target behavior parameters and the reference behavior parameters;
[0012] When the abnormal risk level exceeds the preset risk level, an early warning operation is performed.
[0013] In one possible implementation, determining reference behavior parameters corresponding to the target behavior based on the environmental information includes:
[0014] Obtaining initial behavior parameters corresponding to the target behavior;
[0015] Determine the target adjustment coefficient based on environmental information;
[0016] The initial behavior parameters are adjusted based on the target adjustment coefficient to obtain the reference behavior parameters.
[0017] In one possible implementation, determining the abnormal risk level of a vehicle based on the target behavior parameter and the reference behavior parameter includes:
[0018] determining a parameter difference between a target behavior parameter and a reference behavior parameter;
[0019] Based on the parameter difference, the abnormal risk level of the vehicle is determined.
[0020] In a possible implementation, when the abnormal risk level exceeds a preset risk level, performing an early warning operation includes:
[0021] When the abnormal risk level exceeds the preset risk level, a target early warning strategy corresponding to the abnormal risk level is determined from a plurality of preset early warning strategies, wherein different preset early warning strategies correspond to different early warning operations;
[0022] Based on the target warning strategy, execute the target warning operation corresponding to the target warning strategy.
[0023] In a possible implementation, the target early warning strategy includes a first early warning strategy. Based on the target early warning strategy, executing a target early warning operation corresponding to the target early warning strategy includes:
[0024] Acquiring preset voice data associated with the first warning strategy;
[0025] The warning voice corresponding to the preset voice data is output through the vehicle's external audio output device.
[0026] In a possible implementation, the target early warning strategy includes a second early warning strategy. Based on the target early warning strategy, executing a target early warning operation corresponding to the target early warning strategy includes:
[0027] Sending a first reminder message to a preset contact associated with the vehicle;
[0028] receiving target voice data fed back by a preset contact based on the first prompt information;
[0029] The warning voice corresponding to the target voice data is outputted through the external audio output device of the vehicle.
[0030] In a possible implementation, before outputting the warning voice corresponding to the target voice data through the external audio output device of the vehicle, the method further includes:
[0031] Performing voice modification processing on the target voice data to obtain voice-modified voice data;
[0032] Outputting a warning voice corresponding to the target voice data through an external audio output device of the vehicle includes:
[0033] The warning voice corresponding to the voice-changing voice data is outputted through the vehicle's external audio output device.
[0034] In a possible implementation, before obtaining target behavior parameters when a target object in an environment of the vehicle generates a target behavior on the vehicle, the method further includes:
[0035] The vehicle's surrounding environment is monitored based on a surround-view camera to obtain monitoring video data, wherein the monitoring object in the monitoring video data includes a target object, and the target behavior parameter is obtained by analyzing the behavior of the target object based on the monitoring video;
[0036] When the abnormal risk level exceeds the preset risk level, early warning actions are performed, including:
[0037] If the abnormal risk level exceeds the preset risk level, a second prompt message is sent to the preset contact associated with the vehicle;
[0038] Receiving confirmation operation information from the preset contact based on the second prompt information feedback;
[0039] When the confirmation operation information indicates that the preset contact has input a target operation instruction, the surveillance video data is sent to the target contact.
[0040] In one possible implementation, sending surveillance video data to a target contact includes:
[0041] Based on the abnormality risk level, determining a target communication mode from a plurality of preset communication modes, wherein different preset communication modes have different data transmission rates;
[0042] Based on the target communication channel corresponding to the target communication mode, the surveillance video data is sent to the target contact.
[0043] In a second aspect, an embodiment of the present application provides a vehicle abnormality warning system, the vehicle abnormality warning system comprising:
[0044] An acquisition module is used to acquire target behavior parameters when a target object in the environment of the vehicle generates a target behavior on the vehicle, as well as environmental information of the environment;
[0045] A first determining module is used to determine a reference behavior parameter corresponding to the target behavior based on the environmental information;
[0046] a second determination module, configured to determine an abnormal risk level of the vehicle based on the target behavior parameter and the reference behavior parameter;
[0047] The judgment module is used to perform early warning operations when the abnormal risk level exceeds the preset risk level.
[0048] In a third aspect, an embodiment of the present application provides a vehicle abnormality warning device, which includes a memory and a processor. A computer program is stored in the memory. When the computer program is executed by the processor, it implements the vehicle abnormality warning method provided in the first aspect.
[0049] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by one or more processors, the vehicle abnormality warning method provided in the first aspect is implemented.
[0050] In a fifth aspect, an embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by one or more processors, it implements the vehicle abnormality warning method provided in the first aspect.
[0051] The vehicle anomaly warning method provided in the embodiments of the present application obtains target behavior parameters for a target object in the vehicle's environment that produces a target behavior on the vehicle, as well as environmental information about the environment. Based on the environmental information, it determines reference behavior parameters corresponding to the target behavior. Furthermore, based on the target behavior parameters and the reference behavior parameters, it determines the vehicle's anomaly risk level. If the anomaly risk level exceeds a preset risk level, a warning operation is then executed, thereby improving the accuracy of vehicle anomaly warnings and reducing the occurrence of false warnings. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. It should be understood that the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0053] Figure 1 A flowchart of a vehicle abnormality warning method provided in an embodiment of the present application;
[0054] Figure 2 A schematic diagram of an early warning interaction involved in a vehicle abnormality early warning method provided in an embodiment of the present application;
[0055] Figure 3 A schematic diagram of another warning interaction involved in a vehicle abnormality warning method provided in an embodiment of the present application;
[0056] Figure 4A schematic diagram of the functional modules of a vehicle abnormality warning system provided in an embodiment of the present application;
[0057] Figure 5 This is a diagram of the internal structure of a vehicle abnormality warning device provided in an embodiment of the present application.
[0058] Description of reference numerals:
[0059] Vehicle abnormality warning system 400, acquisition module 410, first determination module 420, second determination module 430, judgment module 440. DETAILED DESCRIPTION
[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings of 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. Generally, the components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations.
[0061] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in the present application without creative work are within the scope of protection of the present application.
[0062] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.
[0063] In various embodiments of the present application, the expression "or" or "at least one of A or / and B" includes any or all combinations of the words listed simultaneously. For example, the expression "A or B" or "at least one of A or / and B" may include A, may include B, or may include both A and B.
[0064] In the description of this application, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the accompanying drawings, or is the orientation or position relationship in which the invented product is usually placed when in use. It is only for the convenience of describing this application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on this application.
[0065] In addition, the terms "first", "second", etc., if used, are merely used to distinguish and describe, and should not be understood as indicating or implying relative importance.
[0066] It should be noted that, in the absence of conflict, the features in the embodiments of this application can be combined with each other.
[0067] Furthermore, in the embodiments of the present application, the term "connection" may refer to "electrical connection" or "direct connection." "Electrical connection" may refer to a direct electrical connection between two components or an electrical connection between two components via one or more normally open tubes or other components.
[0068] To solve the technical problems in the background technology, the embodiments of the present application provide a vehicle abnormality warning method, a vehicle abnormality warning system, a vehicle abnormality warning device, a computer-readable storage medium, and a computer program product. The vehicle abnormality warning method provided by the embodiments of the present application is first introduced.
[0069] See Figure 1 , Figure 1 This is a flowchart of a vehicle anomaly warning method provided in an embodiment of the present application. This vehicle anomaly warning method can be applied to the vehicle anomaly warning system or vehicle anomaly warning device described in the following embodiments. The vehicle anomaly warning device may include a vehicle, a vehicle computer, or other types of electronic equipment. The vehicle computer is an important component of the vehicle network system.
[0070] The following will introduce the vehicle abnormality warning method from the perspective of the vehicle abnormality warning device. It should be noted that for the sake of simplicity, in the following embodiments, the vehicle abnormality warning device may be referred to as the warning device. The vehicle abnormality warning method specifically includes the following steps:
[0071] Step 110 , obtaining target behavior parameters when a target object in the environment where the vehicle is located generates a target behavior on the vehicle, as well as environmental information of the environment.
[0072] Step 120: Determine reference behavior parameters corresponding to the target behavior based on the environmental information.
[0073] Step 130 : Determine the abnormal risk level of the vehicle based on the target behavior parameter and the reference behavior parameter.
[0074] Step 140: When the abnormal risk level exceeds the preset risk level, perform an early warning operation.
[0075] The vehicle anomaly warning method provided in the embodiments of the present application obtains target behavior parameters for a target object in the vehicle's environment that produces a target behavior on the vehicle, as well as environmental information about the environment. Based on the environmental information, it determines reference behavior parameters corresponding to the target behavior. Furthermore, based on the target behavior parameters and the reference behavior parameters, it determines the vehicle's anomaly risk level. If the anomaly risk level exceeds a preset risk level, a warning operation is then executed, thereby improving the accuracy of vehicle anomaly warnings and reducing the occurrence of false warnings.
[0076] The following will be Figure 1 Each step of the method is described in detail.
[0077] In step 110, the early warning device may obtain the target behavior parameters and environmental information, and then determine whether to perform a subsequent early warning operation based on the target behavior parameters and environmental information.
[0078] The vehicle abnormality warning system provided in the embodiment of the present application can be applied to various types of vehicles, such as fuel vehicles and new energy vehicles.
[0079] The vehicle environment described above may represent the vehicle's parking environment. The embodiments of this application do not specifically limit the vehicle environment. For example, the vehicle environment may be a street, an open-air parking lot, an underground parking lot, a rainy day, or a windy day.
[0080] The above environmental information can be referred to the introduction of the vehicle's environment and will not be repeated here.
[0081] The target object may represent an object in the environment that the vehicle is in. The embodiment of the present application does not specifically limit the type of the target object. For example, the target object may be a human, an animal, or a plant.
[0082] The target behavior may be a behavior generated by the target object on the vehicle in the environment in which the vehicle is located.
[0083] In some embodiments, the target behavior may be a destructive behavior caused by the target object to the vehicle in the environment where the vehicle is located.
[0084] In some embodiments, the warning device can analyze the images or videos monitored by the vehicle's monitoring device to determine whether the target object in the vehicle's environment has generated target behavior towards the vehicle.
[0085] It should be noted that information such as faces or license plates appearing in images or videos monitored by the monitoring device are blurred.
[0086] The above-mentioned destructive behaviors include not only behaviors that can be clearly identified, such as knocking or hitting, but also behaviors in which the target object stays next to the vehicle for a long time.
[0087] For example, if the target object is a human, the corresponding target behaviors include but are not limited to staying, knocking, hitting, graffiti, scratching, kicking, etc.
[0088] For example, if the target object is an animal, the corresponding target behaviors include but are not limited to staying, scratching, biting, colliding, etc.
[0089] For example, if the target object is a plant, the corresponding target behaviors include, but are not limited to, scratching, hitting, etc. It should be noted that, for example, if the vehicle is outdoors and the plant growing next to the vehicle is a tree, under the influence of extreme weather such as strong winds, branches may break and cause scratches or collisions with the vehicle.
[0090] The target behavior parameters correspond to the target behavior. For example, if the target behavior type is stay, the corresponding target behavior parameters include stay duration; if the target behavior type is impact, the corresponding target behavior parameters include impact frequency and impact pressure.
[0091] In some embodiments, the impact pressure may be acquired by a pressure sensor on the vehicle.
[0092] For example, a pressure sensor on a vehicle can operate in real time while the vehicle is parked, collecting real-time pressure data generated by the target object on the vehicle. This can capture pressure data corresponding to the moment the target object generates a target behavior on the vehicle, such as the moment of impact.
[0093] For example, the vehicle's pressure sensor can be activated and operated during the time period when the warning device detects the target behavior, thereby collecting information about the pressure exerted by the target object on the vehicle. Specifically, upon detecting the target behavior, the warning device can send a start-up command to the vehicle's pressure sensor, which then activates and operates in response to the start-up command. This reduces power consumption associated with monitoring a parked vehicle and prevents situations where the vehicle's battery runs out and the monitoring device and pressure sensor are no longer able to collect information.
[0094] In some embodiments, the monitoring devices on a vehicle include multiple monitoring devices, including those inside and outside the vehicle. Different monitoring devices correspond to different monitoring areas, and each monitoring device may be assigned a different device identifier, which may be associated with the monitoring area. For example, the monitoring area associated with device identifier 001 is area A, and the monitoring area associated with device identifier 010 is area J.
[0095] When the warning device analyzes images or videos captured by a monitoring device and determines if a target behavior has occurred, it first identifies the corresponding monitoring device, then determines the device identifier associated with the monitoring device, and then uses the device identifier to determine the corresponding monitoring area. Once the monitoring area is determined, the warning device initiates operation by sending a start command to the sensors associated with the monitoring area. Sensors associated with other monitoring areas remain disabled. This further reduces power consumption associated with monitoring vehicles while they are parked.
[0096] For example, if the early warning device analyzes the image or video it monitors and determines a collision has occurred, it can identify the corresponding monitoring device, such as monitoring device C1, based on monitoring parameters in the image or video, such as shooting angle and focal length. The early warning device can then determine the device identifier 001 corresponding to monitoring device C1 and further identify the area A associated with device identifier 001. Finally, the early warning device can send a start command to the pressure sensor associated with area A, causing the pressure sensor associated with area A to start operating and collect pressure data from the area of the vehicle body where the pressure sensor is located.
[0097] In some embodiments, when the early warning device captures images or videos from the vehicle's monitoring device, the images or videos also carry the device identifier of the corresponding monitoring device. This allows the early warning device to quickly determine the monitoring area based on the device identifier, thereby improving the response speed of sensors associated with the monitoring area.
[0098] In some embodiments, the correspondence between the monitoring device and the device identifier may be stored in a first relationship table, the correspondence between the device identifier and the monitoring area may be stored in a second relationship table, and the correspondence between the monitoring area and the sensor may be stored in a third relationship table. Once the early warning device has determined the monitoring device, it can quickly determine the sensor to which the activation instruction is to be sent using the first, second, and third relationship tables.
[0099] The storage information and the corresponding relationships between the storage information in the first relationship table, the second relationship table and the third relationship table can be adjusted according to actual needs.
[0100] In step 120, the early warning device may determine reference behavior parameters corresponding to the target behavior according to the environmental information.
[0101] It should be noted that in the embodiments of the present application, the warning device can determine the magnitude of a reference behavior parameter corresponding to the target behavior based on various environmental information. In other words, the reference behavior parameter corresponding to the target behavior can be dynamically changing. Thus, the warning device can improve the accuracy of vehicle anomaly warnings based on the dynamically changing reference behavior parameter, reduce the occurrence of false warnings, and prevent frequent false warnings from bothering the driver.
[0102] The following example is given, assuming that the target behavior type is stay and the reference behavior parameter corresponding to stay is used as the reference stay duration:
[0103] When the environmental information indicates that the environment in which the vehicle is located is an underground parking lot, the early warning device may determine the reference stay time as the first time length;
[0104] When the environmental information indicates that the vehicle is located in a street environment, the early warning device may determine the reference stay time as the second time period.
[0105] The first duration is shorter than the second duration. In some embodiments, the first duration is 2 minutes and the second duration is 10 minutes.
[0106] Considering that when a vehicle is parked on a street, there are more pedestrians on the street than in an underground parking lot, some pedestrians may stay around the vehicle for longer periods of time, such as 5 or even 10 minutes, without engaging in destructive behavior. If the reference dwell time is fixed at 2 minutes, the warning system will be more likely to issue false warnings frequently when the vehicle is parked on the street.
[0107] Although the first duration is 2 minutes and the second duration is 10 minutes in the above embodiment for illustrative purposes, the first duration and the second duration can be modified according to actual needs, and durations of different values are all within the protection scope of the embodiments of the present application.
[0108] Assume that the target behavior type is collision and the reference behavior parameter corresponding to collision is used as the reference pressure. The following example is given:
[0109] When the environmental information indicates that the vehicle is in a rainy environment, the early warning device may determine the reference pressure as the first pressure;
[0110] When the environmental information indicates that the vehicle is located in an environment of cloudy, overcast or sunny weather, the early warning device may determine the reference pressure to be the second pressure.
[0111] The first pressure is greater than the second pressure. In some embodiments, the first pressure is any value between 10 and 20 Newtons, and the second pressure is any value between 0 and 3 Newtons.
[0112] Considering that vehicles parked outdoors on rainy days are more susceptible to pressure from raindrops than on cloudy, overcast, or sunny days, vehicles are more susceptible to pressure. If the vehicle's reference pressure is fixed to a value between 0 and 3 Newtons, the warning device is more likely to issue false warnings frequently when the vehicle is parked outdoors and encounters rain.
[0113] Although the first pressure in the above embodiment is shown to be any value between 10 and 20 Newtons and the second pressure is any value between 0 and 3 Newtons for illustrative purposes, the first pressure and the second pressure can be modified according to actual needs, and pressures of different values are all within the protection scope of the embodiments of the present application.
[0114] In step 130 , the target behavior parameters and reference behavior parameters determined by the warning device in the aforementioned embodiment may be further analyzed based on the target behavior parameters and the reference behavior parameters to determine the abnormal risk level of the vehicle.
[0115] It should be noted that the above-mentioned reference behavior parameters are dynamically changing. The early warning device, based on the above-mentioned target behavior parameters and the dynamically changing reference behavior parameters, can improve the accuracy and reliability of determining the abnormal risk level of the vehicle, and can reduce or even avoid the occurrence of no warning phenomena.
[0116] The above-mentioned abnormal risk levels can be used to indicate the degree of abnormal risk faced by the vehicle. For example, the abnormal risk level of the first risk level is greater than the abnormal risk level of the second risk level, which is greater than the abnormal risk level of the third risk level. For another example, the abnormal risk level of the first risk level is less than the abnormal risk level of the second risk level, which is less than the abnormal risk level of the third risk level.
[0117] In some embodiments, the early warning device may perform numerical calculations on the target behavior parameters and the reference behavior parameters to determine the abnormal lane separation level of the vehicle.
[0118] For example, the warning device may compare the magnitude relationship between the target behavior parameter and the reference behavior parameter, and determine the abnormal risk level of the vehicle based on the magnitude relationship obtained by comparison.
[0119] In step 140 , after determining the abnormal risk level, the early warning device may compare the abnormal risk level with a preset risk level to determine whether to perform an early warning operation.
[0120] For example, the abnormal risk level of the first risk level is greater than the abnormal risk level of the second risk level, and the abnormal risk level of the second risk level is greater than the abnormal risk level of the third risk level. The abnormal risk level of the preset risk level can be set between the abnormal risk levels of the second risk level and the third risk level.
[0121] When the warning device detects that the abnormal risk level of the vehicle is the third risk level, and the abnormal risk degree of the third risk level is less than the abnormal risk degree of the preset risk level, the warning device may determine not to perform the warning operation.
[0122] When the warning device detects that the abnormal risk level of the vehicle is the first risk level or the second risk level, and the abnormal risk degree of the first risk level or the second risk level is greater than the abnormal risk degree of the preset risk level, the warning device may determine to perform a warning operation.
[0123] In some embodiments, different warning operations may be set corresponding to different risk levels.
[0124] In one possible implementation, determining reference behavior parameters corresponding to the target behavior based on the environmental information includes:
[0125] Obtaining initial behavior parameters corresponding to the target behavior;
[0126] Determine the target adjustment coefficient based on environmental information;
[0127] The initial behavior parameters are adjusted based on the target adjustment coefficient to obtain the reference behavior parameters.
[0128] The embodiment of the present application determines the target adjustment coefficient based on environmental information, and adjusts the initial behavior parameters based on the target adjustment coefficient to obtain the reference behavior parameters, which can improve the accuracy and reliability of determining the reference behavior parameters, thereby improving the accuracy and reliability of vehicle abnormality warning.
[0129] The above initial behavior parameters are pre-set parameters.
[0130] Exemplarily, when the behavior type of the target behavior belongs to stay, the corresponding initial behavior parameter includes an initial stay duration. In some embodiments, the initial stay duration can be set to any duration between 2 minutes and 3 minutes.
[0131] For example, when the target behavior type is a collision, the corresponding initial behavior parameters include an initial pressure and a collision frequency. In some embodiments, the initial pressure can be set to any value between 0 and 3 Newtons.
[0132] The target adjustment coefficients can be used to perform numerical operations with the initial behavior parameters to achieve dynamic adjustment of the initial behavior parameters and obtain the reference behavior parameters.
[0133] For example, when the environmental information indicates that the vehicle is located in a street environment, the behavior type of the target behavior is a stop, the initial behavior parameter is the initial stop duration, and the initial stop duration is 2 minutes, the early warning device can determine that the target adjustment coefficient is 5. The early warning device can multiply the target adjustment coefficient by the initial stop duration to obtain a reference stop duration of 10 minutes.
[0134] Accordingly, when the environmental information indicates that the vehicle is located in an underground parking lot, the behavior type of the target behavior is staying, the initial behavior parameter is the initial stay duration, and the initial stay duration is 10 minutes, the early warning device can determine that the target adjustment coefficient is 0.2. The early warning device can multiply the target adjustment coefficient by the initial stay duration to obtain a reference stay duration of 2 minutes.
[0135] For example, when the environmental information indicates that the vehicle is in a rainy environment, the behavior type of the target behavior is a collision, the initial behavior parameter is the initial pressure, and the initial pressure is 3 Newtons, the early warning device can determine that the target adjustment coefficient is 5. The early warning device can multiply the target adjustment coefficient by the initial pressure to obtain a reference pressure of 15 Newtons.
[0136] Accordingly, when the environmental information indicates that the vehicle is located in an environment that is cloudy, overcast or sunny, the behavior type of the target behavior is a collision, the initial behavior parameter is the initial pressure, and the initial pressure is 15 Newtons, the early warning device can determine that the target adjustment coefficient is 0.2. The early warning device can multiply the target adjustment coefficient by the initial pressure to obtain a reference pressure of 3 Newtons.
[0137] In some embodiments, obtaining target behavior parameters when a target object in an environment in which the vehicle is located produces a target behavior on the vehicle includes:
[0138] Obtaining the duration of a target object in the vehicle's environment staying within a preset range from the vehicle;
[0139] Based on the environmental information, determine the reference behavior parameters corresponding to the target behavior, including:
[0140] Based on the environmental information, a reference stay duration is determined.
[0141] In some embodiments, obtaining target behavior parameters when a target object in an environment in which the vehicle is located produces a target behavior on the vehicle includes:
[0142] Obtaining a knocking pressure corresponding to a knocking behavior of a target object in the vehicle's environment on the vehicle;
[0143] Based on the environmental information, determine the reference behavior parameters corresponding to the target behavior, including:
[0144] Based on the environmental information, a reference pressure is determined.
[0145] In one possible implementation, determining the abnormal risk level of a vehicle based on the target behavior parameter and the reference behavior parameter includes:
[0146] determining a parameter difference between a target behavior parameter and a reference behavior parameter;
[0147] Based on the parameter difference, the abnormal risk level of the vehicle is determined.
[0148] The embodiment of the present application obtains a parameter difference by performing a subtraction operation between the target behavior parameter and the reference behavior parameter, and can further improve the accuracy and reliability of determining the abnormal risk level of the vehicle based on the parameter difference.
[0149] Exemplarily, the target behavior parameter is the stay time, and the stay time is 30 minutes, which exceeds the reference stay time (assuming it is 10 minutes) by 20 minutes. The early warning device can determine that the abnormal risk level of the vehicle is the second risk level mentioned in the above embodiment.
[0150] If the above-mentioned stay time is 40 minutes, which exceeds the reference stay time (assuming it is 10 minutes) by 30 minutes, the early warning device can determine that the abnormal risk level of the vehicle is the first risk level mentioned in the above embodiment, wherein the risk level of the first risk level is greater than the risk level of the second risk level.
[0151] In some embodiments, before determining the abnormal risk level of the vehicle based on the parameter difference, the method further includes:
[0152] Determine the absolute value of the parameter difference;
[0153] The abnormal risk level of the vehicle is determined based on the absolute value of the parameter difference.
[0154] In a possible implementation, when the abnormal risk level exceeds a preset risk level, performing an early warning operation includes:
[0155] When the abnormal risk level exceeds the preset risk level, a target early warning strategy corresponding to the abnormal risk level is determined from a plurality of preset early warning strategies, wherein different preset early warning strategies correspond to different early warning operations;
[0156] Based on the target warning strategy, execute the target warning operation corresponding to the target warning strategy.
[0157] The embodiment of the present application sets different warning strategies corresponding to different abnormal risk levels, and different warning strategies correspond to different warning operations, so that different warnings can be made based on different abnormal risk levels, thereby improving the reliability of the warnings.
[0158] The above “when the abnormal risk level exceeds the preset risk level” may mean that the risk level of the abnormal risk level is greater than the risk level of the preset risk level. For the preset risk level, please refer to the introduction of the above embodiment, which will not be repeated here.
[0159] The aforementioned multiple preset warning strategies include multiple different and pre-configured warning strategies.
[0160] Exemplarily, the preset warning strategy includes but is not limited to playing a pre-configured warning voice, notifying a preset contact associated with the vehicle, dialing an emergency number and playing a warning voice related to the alarm.
[0161] Taking the example of a preset warning strategy including notifying a preset contact associated with the vehicle and the contact being the vehicle owner, the above-mentioned "executing the target warning operation corresponding to the target prediction strategy" may include notifying the vehicle owner via SMS, or establishing a voice connection to notify the vehicle owner, or establishing a video connection to notify the vehicle owner.
[0162] If the abnormal risk level is the first risk level, the above-mentioned "executing the target warning operation corresponding to the target prediction strategy" may include playing a pre-configured warning voice, notifying the car owner via SMS, and establishing a video connection to notify the car owner.
[0163] If the abnormal risk level is the second risk level, the above-mentioned "executing the target warning operation corresponding to the target prediction strategy" may include playing a pre-configured warning voice and notifying the car owner via SMS.
[0164] If the abnormal risk level is the third risk level, the above-mentioned "executing the target warning operation corresponding to the target prediction strategy" may mean not performing any operation.
[0165] In this embodiment, the abnormal risk degree of the first risk level is greater than the abnormal risk degree of the second risk level, the abnormal risk degree of the second risk level is greater than the risk degree of the preset risk level, and the risk degree of the preset risk level is greater than the abnormal risk degree of the third risk level.
[0166] In a possible implementation, the target early warning strategy includes a first early warning strategy. Based on the target early warning strategy, executing a target early warning operation corresponding to the target early warning strategy includes:
[0167] Acquiring preset voice data associated with the first warning strategy;
[0168] The warning voice corresponding to the preset voice data is output through the vehicle's external audio output device.
[0169] The embodiment of the present application uses a first warning strategy, namely, the vehicle's external audio output device outputs a warning voice corresponding to the preset voice data, which can respond to the target behavior generated by the target object in the vehicle's environment at the millisecond level, thereby effectively curbing malicious scratches, illegal lock picking and other behaviors that damage the vehicle.
[0170] The preset voice data may be pre-recorded voice data by the vehicle owner. The present embodiment of the present application does not specifically limit the method for generating the preset voice data. For example, the preset voice data may be pre-recorded voice data by the vehicle owner. Another example is the preset voice data may be text input by the vehicle owner, with the warning device generating the voice data based on the input text.
[0171] The above warning voice can be set to "I have called the police, please stay away from the vehicle and stop illegal behavior."
[0172] The external audio output device includes at least one speaker arranged outside the vehicle.
[0173] In a possible implementation, the target early warning strategy includes a second early warning strategy. Based on the target early warning strategy, executing a target early warning operation corresponding to the target early warning strategy includes:
[0174] Sending a first reminder message to a preset contact associated with the vehicle;
[0175] receiving target voice data fed back by a preset contact based on the first prompt information;
[0176] The warning voice corresponding to the target voice data is outputted through the external audio output device of the vehicle.
[0177] The embodiment of the present application adopts a second warning strategy, that is, outputting a warning voice corresponding to the target voice data fed back by the preset contact through the vehicle's external audio output device, fully considering that the preset contact can output different warning voices based on the first prompt information, thereby improving the warning effect of the warning voice on the target object in the vehicle's environment.
[0178] For example, when the first prompt information indicates that person A has stayed around the vehicle for more than 3 minutes, the preset contact can output a warning voice "Please stay away from the vehicle" based on the first prompt information.
[0179] For example, when the first prompt information indicates that person A around the vehicle is knocking on the window, the preset contact can output a warning voice based on the first prompt information: "I have called the police, please stop your behavior and stay away from the vehicle."
[0180] In some embodiments, while sending the first prompt message to the preset contact, the first target warning strategy in the above embodiment can be executed, that is, a warning voice corresponding to the preset voice data is output through the vehicle's external audio output device.
[0181] In some embodiments, if no feedback information is received from the preset contact within a preset time period after the first prompt message is sent to the preset contact, the first target warning strategy in the above embodiment can be executed, that is, a warning voice corresponding to the preset voice data is output through the vehicle's external audio output device.
[0182] In some embodiments, the preset contact person includes at least one of the vehicle owner and the vehicle owner's relatives.
[0183] In a possible implementation, before outputting the warning voice corresponding to the target voice data through the external audio output device of the vehicle, the method further includes:
[0184] Performing voice modification processing on the target voice data to obtain voice-modified voice data;
[0185] Outputting a warning voice corresponding to the target voice data through an external audio output device of the vehicle includes:
[0186] The warning voice corresponding to the voice-changing voice data is outputted through the vehicle's external audio output device.
[0187] The embodiment of the present application performs voice morphing on the target voice data and outputs a warning voice corresponding to the morphed voice data through the vehicle's external audio output device. When the target voice data is recorded for a preset contact associated with the vehicle or sent through a voice or video connection, the privacy of the preset contact can be effectively protected.
[0188] In a possible implementation, before obtaining target behavior parameters when a target object in an environment of the vehicle generates a target behavior on the vehicle, the method further includes:
[0189] The vehicle's surrounding environment is monitored based on a surround-view camera to obtain monitoring video data, wherein the monitoring object in the monitoring video data includes a target object, and the target behavior parameter is obtained by analyzing the behavior of the target object based on the monitoring video;
[0190] When the abnormal risk level exceeds the preset risk level, early warning actions are performed, including:
[0191] If the abnormal risk level exceeds the preset risk level, a second prompt message is sent to the preset contact associated with the vehicle;
[0192] Receiving confirmation operation information from the preset contact based on the second prompt information feedback;
[0193] When the confirmation operation information indicates that the preset contact has input a target operation instruction, the surveillance video data is sent to the target contact.
[0194] In the embodiment of the present application, when a second prompt message is sent to a preset contact associated with the vehicle and confirmation operation information is fed back by the preset contact, surveillance video data can be sent to the preset contact. On the one hand, the preset contact, such as the car owner, can intuitively see the specific process of the vehicle being damaged, including details such as time, place, and the behavior of the vandal, so as to clearly understand the ins and outs of the matter, which helps the preset contact, such as the car owner, to judge the nature and severity of the incident.
[0195] On the other hand, during the confirmation process of preset contacts such as car owners, the accuracy of the recipient of the surveillance video data and the vehicle information can be verified to prevent the surveillance video from being mistakenly sent to the wrong contact, ensuring the accuracy and security of information transmission.
[0196] On the other hand, sending surveillance video data to a preset contact such as the car owner after the preset contact such as the car owner feedbacks confirmation operation information can reduce the traffic loss caused by sending surveillance video data without confirmation from the preset contact such as the car owner.
[0197] In one possible implementation, sending surveillance video data to a target contact includes:
[0198] Based on the abnormality risk level, determining a target communication mode from a plurality of preset communication modes, wherein different preset communication modes have different data transmission rates;
[0199] Based on the target communication channel corresponding to the target communication mode, the surveillance video data is sent to the target contact.
[0200] The embodiment of the present application can determine the target communication mode according to the abnormal risk level, and send the monitoring video data to the target contact through the target communication channel corresponding to the target communication mode, which can reduce the data transmission cost of sending the monitoring video data.
[0201] Exemplarily, the above-mentioned target communication modes may include one or more of 5G, Bluetooth, and satellite.
[0202] In some embodiments, the warning device can obtain the location information of the target contact, and when it detects that the distance between the target contact and the vehicle is less than a preset distance such as 20 meters, it can send the above-mentioned second prompt information or monitoring video data to the target contact via Bluetooth.
[0203] When the early warning device detects that the distance between the target contact and the vehicle is greater than 20 meters, it can send the above-mentioned second prompt information or monitoring video data to the target contact via 5G or satellite.
[0204] In some embodiments, when the warning device detects that the distance between the target contact and the vehicle is greater than 20 meters, it preferentially sends the above-mentioned second prompt information or monitoring video data to the target contact via 5G communication.
[0205] In some embodiments, if the warning device sends the above-mentioned second prompt information or monitoring video data to the target contact via 5G communication, if the sending time exceeds the preset time, the satellite communication module in the vehicle can be activated to establish a redundant communication transmission mechanism, and the above-mentioned second prompt information or monitoring video data can be sent to the target contact via satellite communication to improve the stability and reliability of monitoring video data transmission.
[0206] In some embodiments, the surveillance video data in the above embodiments is compressed and then sent to the target contact.
[0207] In some embodiments, the early warning device may detect the communication quality of the communication channel between the vehicle and the target contact, and the early warning device may determine a compression method for the monitoring video data based on the communication quality. Different compression methods may result in different video clarity.
[0208] For a detailed description of the information transmission process for the above-mentioned vehicle to perform warning operations, please refer to Figure 2 , Figure 2 A schematic diagram of an early warning interaction involved in a vehicle abnormality early warning method provided in an embodiment of the present application.
[0209] The following first Figure 2 Introduce the various components in:
[0210] Surround view camera: transmits images around the vehicle to the Sentinel module through video stream;
[0211] Sentry module: When the vehicle is dormant, it uses image recognition to detect whether someone is approaching (staying around the vehicle for 10 seconds) or attempting to damage the vehicle. It then forwards the sentry status to the video call module. When the monitoring request is returned, it forwards the surround view video stream.
[0212] Video monitoring module: determines whether to initiate remote monitoring based on the sentry status, receives the video from the sentry module (corresponding to the above-mentioned monitoring video data), compresses it and sends it;
[0213] Speaker module: receives the audio stream from the vehicle Ethernet communication module and plays it on the external speaker channel;
[0214] In-vehicle Ethernet communication module: forwards the owner's reminder signal and transcribes the voice and video data stream;
[0215] External speakers (corresponding to the external audio output device of the above vehicles): play audio;
[0216] In-vehicle Ethernet gateway: A module responsible for data processing and forwarding on the in-vehicle Ethernet network, integrated by the in-vehicle communication unit;
[0217] Cellular communication module: the module in the vehicle communication unit responsible for external cellular communication;
[0218] Base station: the infrastructure of cellular communications;
[0219] Mobile phone (smart phone held by the above-mentioned preset contact or target contact): built-in vehicle application, which integrates the vehicle communication unit, video monitoring and voice calling module, and alerts the owner through ringing or SMS;
[0220] Video monitoring and voice module: The car owner can use this video monitoring and voice module to remotely view the situation around the car and transmit the voice back to the car.
[0221] The following will Figure 2 The communication process corresponding to each serial number is introduced as follows:
[0222] ① The surround view camera video stream is input to the sentry module;
[0223] ② The sentry module pulls the video surveillance module to send a sentry status signal and transmits the surround view video stream;
[0224] ③Send video surveillance activation signal, and transmit compressed video stream after response;
[0225] ④-⑧ Forward and answer video call requests, and transmit video and audio;
[0226] ⑨The remote audio stream is output to the speaker module;
[0227] ⑩Play the audio stream.
[0228] See Figure 3 , Figure 3 Another warning interaction diagram involved in a vehicle abnormality warning method provided in an embodiment of the present application. Figure 3 Included Figure 2 The detailed communication process of each module in Figure 3 The communication process corresponding to each serial number is introduced as follows:
[0229] ① The sentry module detects whether there are pedestrians stranded or endangering the vehicle. If so, it proceeds to step ②;
[0230] ②The sentry module pulls up the video surveillance module and sends the sentry status to the video surveillance module after pulling up;
[0231] ③The video monitoring module determines whether a remote monitoring request needs to be initiated. If so, it proceeds to step ④;
[0232] ④-⑦ Video surveillance modules forward video surveillance trigger signals;
[0233] ⑧Send ringing and messages to mobile phones;
[0234] ⑨Trigger video surveillance response on the mobile phone;
[0235] ⑩- Mobile phone answer status forwarding;
[0236] Video surveillance requests surround video streams;
[0237] The surround view video stream is forwarded to the video surveillance module;
[0238] Compress the video stream and send it to the mobile phone;
[0239] The compressed audio stream is sent to the speaker module.
[0240] Corresponding to the above method embodiment, the present application embodiment also provides a vehicle abnormality warning system, see Figure 4 , Figure 4 for Figure 4 This is a functional module diagram of a vehicle abnormality warning system provided in an embodiment of the present application. The vehicle abnormality warning system 400 includes:
[0241] An acquisition module 410 is configured to acquire target behavior parameters when a target object in an environment in which the vehicle is located generates a target behavior on the vehicle, as well as environmental information of the environment;
[0242] A first determining module 420 is configured to determine a reference behavior parameter corresponding to a target behavior based on environmental information;
[0243] A second determination module 430 is configured to determine an abnormal risk level of the vehicle based on the target behavior parameter and the reference behavior parameter;
[0244] The judgment module 440 is used to perform an early warning operation when the abnormal risk level exceeds a preset risk level.
[0245] The vehicle abnormality warning system provided by the embodiment of the present application can achieve the following Figure 1 The various processes implemented in the method embodiments can achieve similar or identical technical effects, and to avoid repetition, they will not be described here.
[0246] In a possible implementation, the first determining module 420 is further specifically configured to:
[0247] Obtaining initial behavior parameters corresponding to the target behavior;
[0248] Determine the target adjustment coefficient based on environmental information;
[0249] The initial behavior parameters are adjusted based on the target adjustment coefficient to obtain the reference behavior parameters.
[0250] In a possible implementation, the second determining module 430 is further specifically configured to:
[0251] determining a parameter difference between a target behavior parameter and a reference behavior parameter;
[0252] Based on the parameter difference, the abnormal risk level of the vehicle is determined.
[0253] In a possible implementation, the determination module 440 is further specifically configured to:
[0254] When the abnormal risk level exceeds the preset risk level, a target early warning strategy corresponding to the abnormal risk level is determined from a plurality of preset early warning strategies, wherein different preset early warning strategies correspond to different early warning operations;
[0255] Based on the target warning strategy, execute the target warning operation corresponding to the target warning strategy.
[0256] In a possible implementation, the judgment module 440 further includes a first judgment submodule, the target early warning strategy includes a first early warning strategy, and the first judgment submodule is configured to:
[0257] Acquiring preset voice data associated with the first warning strategy;
[0258] The warning voice corresponding to the preset voice data is output through the vehicle's external audio output device.
[0259] In a possible implementation, the judgment module 440 further includes a second judgment submodule, the target early warning strategy includes a second early warning strategy, and the second judgment submodule is configured to:
[0260] Sending a first reminder message to a preset contact associated with the vehicle;
[0261] receiving target voice data fed back by a preset contact based on the first prompt information;
[0262] The warning voice corresponding to the target voice data is outputted through the external audio output device of the vehicle.
[0263] In a possible implementation, the vehicle abnormality warning system 400 further includes a voice changing module, which is used to:
[0264] Performing voice modification processing on the target voice data to obtain voice-modified voice data;
[0265] The first judgment submodule is further configured to:
[0266] The warning voice corresponding to the voice-changing voice data is outputted through the vehicle's external audio output device.
[0267] In a possible implementation, the vehicle abnormality warning system 400 further includes a monitoring module, which is configured to:
[0268] The vehicle's surrounding environment is monitored based on a surround-view camera to obtain monitoring video data, wherein the monitoring object in the monitoring video data includes a target object, and the target behavior parameter is obtained by analyzing the behavior of the target object based on the monitoring video;
[0269] The judgment module 440 is further configured to:
[0270] If the abnormal risk level exceeds the preset risk level, a second prompt message is sent to the preset contact associated with the vehicle;
[0271] Receiving confirmation operation information from the preset contact based on the second prompt information feedback;
[0272] When the confirmation operation information indicates that the preset contact has input a target operation instruction, the surveillance video data is sent to the target contact.
[0273] In a possible implementation, the determination module 440 is further configured to:
[0274] Based on the abnormality risk level, determining a target communication mode from a plurality of preset communication modes, wherein different preset communication modes have different data transmission rates;
[0275] Based on the target communication channel corresponding to the target communication mode, the surveillance video data is sent to the target contact.
[0276] The present application also provides a vehicle abnormality warning device. The present application also provides a vehicle abnormality warning device. Please refer to Figure 5 , Figure 5An internal structural diagram of a vehicle abnormality warning device provided in an embodiment of the present application. The vehicle abnormality warning device includes a processor, a memory, and a network interface connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the vehicle abnormality warning device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor may implement the vehicle abnormality warning method applied to the vehicle abnormality warning device in the above embodiment. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor may execute the vehicle abnormality warning method. Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the vehicle abnormality warning device to which the solution of the present application is applied. The specific vehicle abnormality warning device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.
[0277] The embodiment of the present application further discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the vehicle abnormality warning method as in the method embodiment is implemented.
[0278] An embodiment of the present application provides a computer program product, which is stored in a storage medium. The program product is executed by at least one processor to implement the various processes of the embodiment of the vehicle abnormality warning method as described above, and can achieve similar or identical technical effects. To avoid repetition, it will not be repeated here.
[0279] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, which can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0280] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
Claims
1. A vehicle abnormality warning method, characterized in that: include: Obtaining target behavior parameters when a target object in an environment where a vehicle is located generates a target behavior on the vehicle, as well as environmental information of the environment; determining, based on the environmental information, reference behavior parameters corresponding to the target behavior; determining an abnormal risk level of the vehicle based on the target behavior parameter and the reference behavior parameter; When the abnormal risk level exceeds the preset risk level, an early warning operation is performed.
2. The method according to claim 1, wherein The determining, based on the environmental information, a reference behavior parameter corresponding to the target behavior includes: Acquiring initial behavior parameters corresponding to the target behavior; determining a target adjustment coefficient based on the environmental information; The initial behavior parameter is adjusted based on the target adjustment coefficient to obtain a reference behavior parameter.
3. The method according to claim 1, wherein The determining, based on the target behavior parameter and the reference behavior parameter, the abnormal risk level of the vehicle includes: determining a parameter difference between the target behavior parameter and the reference behavior parameter; Based on the parameter difference, an abnormality risk level of the vehicle is determined.
4. The method according to claim 1, wherein When the abnormal risk level exceeds the preset risk level, performing the early warning operation includes: When the abnormal risk level exceeds the preset risk level, determining a target early warning strategy corresponding to the abnormal risk level from a plurality of preset early warning strategies, wherein different preset early warning strategies correspond to different early warning operations; Based on the target early warning strategy, a target early warning operation corresponding to the target early warning strategy is executed.
5. The method according to claim 4, wherein The target early warning strategy includes a first early warning strategy, and executing a target early warning operation corresponding to the target early warning strategy based on the target early warning strategy includes: Acquiring preset voice data associated with the first warning strategy; The warning voice corresponding to the preset voice data is outputted through the external audio output device of the vehicle.
6. The method according to claim 4, wherein The target early warning strategy includes a second early warning strategy, and executing a target early warning operation corresponding to the target early warning strategy based on the target early warning strategy includes: Sending a first reminder message to a preset contact associated with the vehicle; receiving target voice data fed back by the preset contact based on the first prompt information; The warning voice corresponding to the target voice data is outputted through the external audio output device of the vehicle.
7. The method according to claim 5 or 6, wherein: Before outputting the warning voice corresponding to the target voice data through the external audio output device of the vehicle, the method further includes: Performing voice modification processing on the target voice data to obtain voice-modified voice data; Outputting the warning voice corresponding to the target voice data through the external audio output device of the vehicle includes: The warning voice corresponding to the voice-changing voice data is outputted through the external audio output device of the vehicle.
8. The method according to claim 1, wherein Before acquiring target behavior parameters when a target object in the environment of the vehicle generates a target behavior on the vehicle, the method further includes: Monitoring the environment of the vehicle based on a surround-view camera of the vehicle to obtain monitoring video data, wherein the monitored object in the monitoring video data includes the target object, and the target behavior parameter is obtained by analyzing the behavior of the target object based on the monitoring video; When the abnormal risk level exceeds the preset risk level, performing the early warning operation includes: When the abnormal risk level exceeds the preset risk level, sending a second prompt message to a preset contact associated with the vehicle; Receiving confirmation operation information fed back by the preset contact based on the second prompt information; In a case where the confirmation operation information indicates that the preset contact inputs a target operation instruction, the surveillance video data is sent to the target contact.
9. The method according to claim 8, wherein The sending the surveillance video data to the target contact includes: Based on the abnormal risk level, determining a target communication mode from a plurality of preset communication modes, wherein different preset communication modes have different data transmission rates; The monitoring video data is sent to the target contact based on the target communication channel corresponding to the target communication mode.
10. A vehicle abnormality warning device, characterized in that: The vehicle abnormality warning device includes a memory and a processor, the memory stores a computer program, and the computer program implements the method according to any one of claims 1 to 9 when executed by the processor.