Vehicle message reminding method and device, electronic equipment and readable storage medium

Abstract

This invention provides a vehicle message reminder method, apparatus, electronic device, and readable storage medium, relating to the technical field of vehicle driving. The method includes: determining the current vehicle's driving scenario based on current vehicle data and / or road condition information; determining a target message template based on the driving scenario, wherein the target message template has a target category that matches the business requirements of the driving scenario; matching the currently received message with word combinations configured in the target message template; and reminding the currently received message that matches successfully. By reminding the recipient of messages that match the current driving scenario, the technical problem of excessive redundant messages affecting driving safety is alleviated.

Description

Technical Field

[0001] This invention relates to the technical field of vehicle driving, and in particular to a vehicle message notification method, apparatus, electronic device, and readable storage medium. Background Technology

[0002] With the development of vehicle technology, people are paying more and more attention to and demanding of the driving experience. As a result, more and more in-vehicle functions have emerged, which have enriched the user's driving experience to a certain extent.

[0003] However, nowadays, overly rich interactive features, such as various message reminders, can often affect the driver's driving safety. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a vehicle message reminder method, device, electronic device and readable storage medium, which alleviates the technical problem of excessive redundant messages affecting driving safety by reminding users of messages that match the current driving scenario.

[0005] In a first aspect, an embodiment provides a vehicle message notification method, the method comprising:

[0006] The driving scenario of the current vehicle is determined based on the current vehicle data and / or road condition information.

[0007] A target message template is determined based on the driving scenario, wherein the target message template has a target category that matches the business requirements of the driving scenario;

[0008] The system matches the currently received message with the word combinations configured in the target message template, and sends a notification to the currently received message that matches successfully.

[0009] In an optional implementation, the step of determining the driving scenario of the current vehicle based on the vehicle data and / or road condition information includes:

[0010] If, based on vehicle data, it is determined that the current vehicle's status is abnormal, and / or, based on road condition information, it is determined that the accident rate of the road on which the current vehicle is traveling is higher than a preset threshold, then the current vehicle's driving scenario is identified as a key driving scenario.

[0011] In an optional implementation, the step of determining the target message template based on the driving scenario includes:

[0012] If the driving scenario is a key driving scenario, then the target category of the target message template is determined to be vehicle status message.

[0013] In an optional implementation, prior to the step of matching the currently received message with word combinations configured in the target message template, the method includes:

[0014] Obtain currently received messages sent by vehicles within a preset range via point-to-point communication or V2X communication.

[0015] And / or,

[0016] Get the currently received messages sent by the target third-party application within a preset time period.

[0017] In an optional implementation, the step of matching the currently received message with the word combinations configured in the target message template includes:

[0018] The currently received message is preprocessed to obtain message phrases;

[0019] The message phrases are matched with the word combinations configured in the target message template.

[0020] In an optional implementation, the step of preprocessing the currently received message to obtain message phrases includes:

[0021] Extract keywords from the currently received message to obtain message phrases;

[0022] or,

[0023] The currently received message is segmented into words, and then the segmented message is input into a pre-trained semantic analysis model to output the message phrases corresponding to the currently received message.

[0024] In an optional implementation, the step of notifying the currently received message that has successfully matched includes:

[0025] The currently received message that has been successfully matched is converted into the target language version and then a notification is sent; wherein, the target language version corresponds to the driver attribute of the current vehicle.

[0026] Secondly, embodiments of the present invention provide a vehicle message notification device, the device comprising:

[0027] The first determining module determines the driving scenario of the current vehicle based on the vehicle data and / or road condition information of the current vehicle.

[0028] The second determining module determines a target message template based on the driving scenario, wherein the target message template has a target category that matches the business requirements of the driving scenario;

[0029] The reminder module matches the currently received message with the word combinations configured in the target message template, and sends a reminder for the currently received message that matches successfully.

[0030] Thirdly, an embodiment provides an electronic device including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor executes the computer program, it implements the steps of the method described in any of the foregoing embodiments.

[0031] Fourthly, an embodiment provides a machine-readable storage medium storing machine-executable instructions, which, when invoked and executed by a processor, cause the processor to perform the steps of the method described in any of the foregoing embodiments.

[0032] This invention provides a vehicle message reminder method, device, electronic device, and readable storage medium. By using the vehicle data and / or road condition information of the current vehicle, it can determine the driving scenario corresponding to the current vehicle state. Then, based on the driving scenario, it can determine the target message template that matches the message category from the preset message template. Based on the word combination configured in the target message template, it can match the currently received message and remind the currently received message that has successfully matched the message. This ensures that the reminder message can meet the business needs of the current driving scenario and guarantee driving safety and reliability.

[0033] Other features and advantages of this disclosure will be set forth in the following description, or some features and advantages may be inferred from the description or determined without doubt, or may be learned by practicing the techniques described above.

[0034] To make the above-mentioned objects, features and advantages of this disclosure more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0035] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0036] Figure 1 A flowchart of a vehicle message notification method provided in an embodiment of the present invention;

[0037] Figure 2 This is an application diagram of a target message template provided in an embodiment of the present invention;

[0038] Figure 3 A functional block diagram of a vehicle message reminder device provided in an embodiment of the present invention;

[0039] Figure 4 This is a schematic diagram of the hardware architecture of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] In the current driving process, drivers often receive message reminders or perform non-driving operations that require their interaction, which can affect their driving concentration and compromise driving safety.

[0042] Based on this, the present invention provides a vehicle message reminder method, device, electronic device and readable storage medium, which alleviates the technical problem of excessive redundant messages affecting driving safety by reminding users of messages that match the current driving scenario.

[0043] To facilitate understanding of this embodiment, a vehicle message reminder method disclosed in this embodiment of the invention will first be described in detail. This method can be applied to in-vehicle control devices such as vehicle infotainment systems.

[0044] Figure 1 This is a flowchart of a vehicle message notification method provided in an embodiment of the present invention.

[0045] like Figure 1 As shown, the method includes the following steps:

[0046] Step S102: Determine the driving scenario of the current vehicle based on the current vehicle data and / or road condition information.

[0047] Among them, by using the current vehicle data and / or road condition information, it is possible to know the current vehicle status, that is, whether the current vehicle is in a high-risk driving scenario or a low-risk driving scenario; it is understandable that for a high-risk driving scenario, the driver will undoubtedly need to devote more driving energy.

[0048] Step S104: Determine the target message template based on the driving scenario.

[0049] As an optional embodiment, the in-vehicle control device can be pre-configured with multiple driving scenarios and multiple message templates. Each message template has its own message category, and each driving scenario corresponds to at least one message category, meaning that each driving scenario has a mapping relationship with at least one message template. Specifically, a target message template matching the current driving scenario can be determined from among numerous message templates based on the current vehicle's driving scenario. This target message template has a target category that matches the business requirements of the current driving scenario; that is, receiving messages corresponding to this target category under this driving scenario meets the business requirements of that driving scenario.

[0050] For example, driving scenarios can include key driving scenarios, autonomous driving scenarios, and manual driving scenarios, etc. Among them, key driving scenarios can be understood as scenarios with a high accident rate that require special attention, autonomous driving scenarios can be understood as scenarios that can save some of the driver's driving energy in autonomous driving mode, and manual driving scenarios are scenarios where the current driver is in manual driving mode and requires the driver's relatively high concentration.

[0051] Based on the aforementioned driver's effort and / or the vehicle user's preset message receiving priority, driving scenarios can correspond to target message templates with different message categories to meet the business needs of different scenarios. The key driving scenarios can correspond to vehicle status message categories, while autonomous driving scenarios can correspond to vehicle status message categories, communication categories, and entertainment categories. Among them, the communication category can include message categories obtained from communication software such as WeChat, the entertainment category can include message categories obtained from third-party entertainment applications and other software, and manual driving scenarios can include vehicle status message categories and necessary communication (target communication) categories such as telephone calls, etc.

[0052] As an optional implementation, the current driving scenario of the vehicle may not be unique; that is, the current vehicle may correspond to multiple driving scenarios simultaneously. For example, the vehicle may be in both a manual driving scenario and a vehicle status message scenario. In this case, the most stringent target message template can be determined based on the intersection of the message categories corresponding to the scenarios. For instance, if the current vehicle is in both a manual driving scenario and a vehicle status message scenario, the target message template for that driving scenario includes the vehicle status message category.

[0053] Step S106: Match the currently received message with the word combination configured in the target message template, and notify the currently received message that matches successfully.

[0054] Here, the target message template can be used to remind users of currently received messages that match it. In other words, the target message template acts as a message filter, ensuring that the messages that match successfully and can be used for reminders meet the business needs of this driving scenario.

[0055] In a preferred embodiment of practical application, the driving scenario corresponding to the current vehicle state can be determined by the current vehicle data and / or road condition information. Then, based on the driving scenario, a target message template matching the message category is determined from the preset message template. The currently received message is matched based on the word combination configured in the target message template. The currently received message that matches successfully is reminded so that the currently reminded message can meet the business needs of the current driving scenario and ensure driving safety and reliability.

[0056] In some embodiments, the vehicle status can be determined based on vehicle data, road condition information, and other data to determine the current driving scenario. Corresponding message reminders can then be issued based on different driving scenarios to ensure driving safety. For example, step S102 can include the following implementation methods:

[0057] As one possible implementation, if the vehicle status of the current vehicle is determined to be abnormal based on vehicle data, and at the same time, the accident rate of the road on which the current vehicle is traveling is determined to be higher than a preset threshold based on road condition information, then the driving scenario of the current vehicle is determined to be a key driving scenario.

[0058] The system can obtain various vehicle data, including speed, tire pressure, and fuel consumption, from internal sensors. It can also perceive vehicle data and external environmental information based on autonomous driving or assisted driving scenarios, thus accurately determining the vehicle's current status—whether it is in a normal driving state. Simultaneously, it can combine this data with pre-installed maps or third-party navigation applications to further determine the current road conditions, including road geography (roughness / smoothness), traffic congestion, and weather information. Combining vehicle status and road condition information, it can determine the vehicle's current driving state, such as high-speed, constant-speed driving on a highway, bumpy driving on an uneven road, or slow driving in heavy traffic. Based on this driving state, it determines the safety level of the driving scenario; the greater the danger of the driving scenario, the higher the safety level, and the more effort the driver needs to exert. Driving scenarios with abnormal vehicle status and relatively poor road conditions, belonging to accident-prone areas, are identified as priority driving scenarios. These scenarios are highly dangerous and require the driver to concentrate and handle them with caution.

[0059] As another optional implementation, when either the vehicle status or road condition information is in an abnormal state, the current driving scenario can be identified as a key driving scenario, prompting the driver to concentrate in a potentially dangerous situation to further ensure the driver's driving safety. For example, if the vehicle status is determined to be abnormal based on vehicle data, or if the accident rate of the road on which the current vehicle is traveling is determined to be higher than a preset threshold based on road condition information, then the current driving scenario can also be identified as a key driving scenario.

[0060] As another optional implementation method, it is also possible to determine whether the current driving scenario of the vehicle is a historical routine scenario based on the current vehicle data and / or road condition information; if the driving scenario is both a historical routine scenario and a key driving scenario, the level of the driving scenario can be reduced, that is, the driving scenario can be changed from a key driving scenario to a general driving scenario.

[0061] Specifically, the system can determine the number of times a driver has driven on the current road conditions, at the current time, and along the current route based on the vehicle's historical driving records. If this number of drives exceeds a preset threshold, the driving scenario can be identified as a familiar, historically common scenario for the driver. To ensure a better user experience, the safety level of the driving scenario can be lowered to a certain extent, allowing users to receive more notifications and enriching the driving experience.

[0062] As another optional implementation method, users can also pre-configure personalized message notification whitelists for driving scenarios. For example, they can directly notify users of messages from third-party application B for driving scenario A, so that users can have a diverse and personalized experience.

[0063] In some embodiments, for key driving scenarios with high safety levels, the risks to drivers are significant. Therefore, driver safety in such key driving scenarios can be ensured by only alerting drivers to vehicle status information that affects the safety of the key driving scenario. Step S104 in the aforementioned embodiment includes:

[0064] Step 1.1): If the driving scenario is a key driving scenario, then the target category of the target message template is determined to be vehicle status message.

[0065] If the current scenario is a high-priority driving scenario, the vehicle status message will be used as the target category, and the currently received message will be filtered according to the target message template corresponding to the target category, so as to avoid other redundant message reminders to the user and affect the driver's driving safety.

[0066] In some embodiments, to save drivers' application interaction operations, messages from various sources can be received without requiring the vehicle owner to select whether to receive messages. Then, messages are filtered according to a target message template, thus only reminding the user of messages that match the current driving scenario, ensuring that the driver's driving attention is minimized and driving safety is guaranteed. For example, the currently received messages can mainly include the following sources. Before step S106, the method includes:

[0067] Step 2.1) Obtain the currently received messages sent by vehicles within a preset range through point-to-point communication or V2X communication.

[0068] Specifically, it can receive all messages sent by other vehicles within a preset range through short-range communication methods such as WIFI and Bluetooth, or it can obtain all messages sent by other vehicles within a preset range through the V2X vehicle data transmission channel; the preset range includes a preset distance range and a preset communication range.

[0069] And / or,

[0070] Step 2.2) Obtain the currently received messages sent by the target third-party application within a preset time period.

[0071] Here, users can also preset the time to receive messages from specific third-party applications, or preset the time interval to actively obtain messages sent by specific third-party applications; users can pre-configure the third-party applications that can provide message notifications and determine the target third-party applications.

[0072] In some embodiments, the currently received message can be further processed by a target message template in order to accurately identify the message that needs to be reminded in the current driving scenario; for example, the step of matching the currently received message with the word combination configured in the target message template in step S106 may include the following steps:

[0073] Step 3.1) Preprocess the currently received message to obtain message phrases;

[0074] The currently received message may be a voice message sent by another car owner. Different car owners may have different nationalities, accents, origins, and speaking habits, etc. Therefore, the currently received message may contain colloquial or dialectal elements, making it difficult to match the target message template. To ensure a more accurate match between the currently received message and the target message template, the currently received message can be preprocessed in the following ways before matching:

[0075] Step 3.1.1) Extract keywords from the currently received message to obtain message phrases.

[0076] Specifically, it can extract message phrases composed of keywords from the currently received message based on a preset keyword template; for example, if the currently received message is: "Brother, your left front tire is flat," the keyword phrase "left front tire flat" can be extracted. This message phrase has a higher matching rate with the target message template.

[0077] or,

[0078] Step 3.1.2) Perform word segmentation on the currently received message, and then input the segmented current received message into the pre-trained semantic analysis model to output the message word group corresponding to the current received message.

[0079] For example, the word combination after the current received message is segmented can be input into a pre-trained semantic analysis model so that the model outputs the message word group with the highest probability corresponding to the current received message, thereby solving the problem of colloquial language in the current received message.

[0080] The pre-trained semantic analysis model may include commonly used neural network models such as NLP models.

[0081] Step 3.2) Match the message phrase with the word combinations configured in the target message template.

[0082] For example, such as Figure 2 As shown, when the received message is "Left front tire is flat," the message is segmented according to various part-of-speech combinations such as noun + verb and noun + adjective to obtain the phrase "left front tire is flat." This phrase is then input into a pre-trained semantic analysis model, which outputs the message phrase "left front tire is flat." Next, this "left front tire is flat" message is matched with a target message template representing the vehicle's status category. If a match is successful, a message reminder indicating that the left front tire is flat is output.

[0083] In some embodiments, to save message matching and judgment time, some uncivilized messages that cannot be reminded in the current driving scenario can be quickly eliminated. A termination message template can be pre-configured, which contains user-configurable combinations of words such as derogatory and negative. Before step S106 of the aforementioned embodiment, the currently received message is matched with the word combinations in the target message template. If the match is successful, no further matching operation with the target message template is performed on such received messages, and there is no need to determine the message category of such received messages. At the same time, the source of the uncivilized message can be marked, and subsequent messages from this source will not be reminded.

[0084] It should be noted that since the final reminder message is obtained by filtering the currently received message through the target message template, the final reminder message only includes word combinations that match the target message template and does not involve negative words such as uncivilized language. If the current vehicle user does not care about the attitude of the message source or the length of the message matching time, the application of the termination message template can be omitted. In some embodiments, the place of origin and nationality of different vehicle owners may differ, that is, vehicle owner B may not be able to understand the voice message of vehicle owner A. The received message can be converted accordingly based on factors such as the language habits of the current vehicle driver to facilitate the understanding of the message reminder. For example, in step S106, the step of reminding the currently received message that has been successfully matched includes:

[0085] Step 4.1) Convert the currently received message that has been successfully matched into the target language version and then send a notification.

[0086] The target language version corresponds to the driver attributes of the current vehicle, which include place of origin, nationality, accent, and other speech habits.

[0087] In some optional embodiments, users can also evaluate each message notification with a score to determine which messages they want to be notified of and which they do not want to be notified of again. The score evaluation is used to determine the sending frequency of messages from this source or category. If the score evaluation corresponding to a message from this source or category is less than a score threshold, then messages from this source or category will no longer be notified.

[0088] like Figure 3 As shown, this embodiment of the invention also provides a vehicle message reminder device 200, the device comprising:

[0089] The first determining module 201 determines the driving scenario of the current vehicle based on the vehicle data and / or road condition information of the current vehicle.

[0090] The second determining module 202 determines a target message template based on the driving scenario 1, wherein the target message template has a target category that matches the business requirements of the driving scenario;

[0091] The reminder module 203 matches the currently received message with the word combination configured in the target message template, and provides a reminder for the currently received message that matches successfully.

[0092] In some embodiments, the first determining module 201 is further specifically used to determine the driving scenario of the current vehicle as a key driving scenario if, based on vehicle data, it is determined that the current vehicle's vehicle status is abnormal, and / or, based on road condition information, it is determined that the accident rate of the current vehicle's driving road is higher than a preset threshold.

[0093] In some embodiments, the second determining module 202 is further configured to determine the target category of the target message template as vehicle status message if the driving scenario is a key driving scenario.

[0094] In some embodiments, before the step of matching the currently received message with the word combination configured in the target message template, the device further includes a receiving module, configured to acquire currently received messages sent by vehicles within a preset range via point-to-point communication or V2X communication; and / or acquire currently received messages sent by a target third-party application within a preset time period.

[0095] In some embodiments, the reminder module 203 is further configured to preprocess the currently received message to obtain a message phrase; and match the message phrase with the word combination configured in the target message template.

[0096] In some embodiments, the reminder module 203 is further specifically used to extract keywords from the currently received message to obtain message phrases; or, to perform word segmentation on the currently received message, and then input the segmented currently received message into a pre-trained semantic analysis model to output the message phrases corresponding to the currently received message.

[0097] In some embodiments, the reminder module 203 is further configured to convert the successfully matched currently received message into a target language version before issuing a reminder; wherein the target language version corresponds to the driver attribute of the current vehicle.

[0098] Figure 4 This is a schematic diagram of the hardware architecture of the electronic device 300 provided in an embodiment of the present invention. See also... Figure 4 As shown, the electronic device 300 includes a machine-readable storage medium 301 and a processor 302, and may also include a non-volatile storage medium 303, a communication interface 304, and a bus 305; wherein the machine-readable storage medium 301, the processor 302, the non-volatile storage medium 303, and the communication interface 304 communicate with each other through the bus 305. The processor 302 can execute the vehicle message reminder method described in the above embodiments by reading and executing the machine-executable instructions for vehicle message reminders in the machine-readable storage medium 301.

[0099] The machine-readable storage medium mentioned in this article can be any electronic, magnetic, optical, or other physical storage device that can contain or store information such as executable instructions, data, etc. For example, machine-readable storage media can be: RAM (Random Access Memory), volatile memory, non-volatile memory, flash memory, storage drives (such as hard disk drives), any type of storage disk (such as optical discs, DVDs, etc.), or similar storage media, or combinations thereof.

[0100] Non-volatile media can be non-volatile memory, flash memory, storage drives (such as hard disk drives), any type of storage disk (such as optical discs, DVDs, etc.), or similar non-volatile storage media, or combinations thereof.

[0101] It is understood that the specific operation methods of each functional module in this embodiment can be referred to the detailed description of the corresponding steps in the above method embodiment, and will not be repeated here.

[0102] The computer-readable storage medium provided in the embodiments of the present invention stores a computer program. When the computer program code is executed, it can implement the vehicle message reminder method described in any of the above embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.

[0103] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0104] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0105] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0106] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the scope of the technology disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention.

Claims

1. A vehicle message alerting method, characterized by, The method comprises: determining a driving scene of the current vehicle according to vehicle data and / or road condition information of the current vehicle; determining a target message template based on the driving scene, wherein the target message template has a target category matching the business requirement of the driving scene; matching the current received message with the word combination configured in the target message template, and reminding the current received message that is matched successfully; wherein the target message template is used to filter out the current received message that is matched successfully, and the message in the current received message that is matched successfully and meets the business requirement of the driving scene is reminded; The step of determining the driving scene of the current vehicle according to the vehicle data and / or road condition information of the current vehicle comprises: if it is determined according to the vehicle data that the vehicle state of the current vehicle is abnormal, and / or if it is determined according to the road condition information that the accident rate of the driving road of the current vehicle is higher than a preset threshold, the driving scene of the current vehicle is determined as a key driving scene; The step of determining the target message template based on the driving scene comprises: if the driving scene is the key driving scene, the target category of the target message template is determined as a vehicle state message; determining whether the driving scene of the current vehicle is a historical routine scene according to the vehicle data and / or road condition information of the current vehicle; if the driving scene is both the historical routine scene and the key driving scene, the driving scene is changed from the key driving scene to a general driving scene; obtaining the driving frequency of the driver in the current road condition, the current time and the current driving route according to the historical driving record of the vehicle; if the driving frequency exceeds a preset threshold, the driving scene is determined as a historical routine scene that the driver is more familiar with.

2. The method of claim 1, wherein, Before the step of matching the current received message with the word combination configured in the target message template, the method comprises: obtaining the current received message sent by the vehicle within a preset range through a point-to-point communication mode or a V2X communication mode; and / or, obtaining the current received message sent by a target third-party application within a preset time.

3. The method of claim 1, wherein, The step of matching the current received message with the word combination configured in the target message template comprises: preprocessing the current received message to obtain a message word group; matching the message word group with the word combination configured in the target message template.

4. The method of claim 3, wherein, The step of preprocessing the current received message to obtain a message word group comprises: extracting keywords from the current received message to obtain a message word group; or performing word segmentation processing on the current received message, and then inputting the current received message after the word segmentation processing into a pre-trained semantic analysis model to output a message word group corresponding to the current received message.

5. The method of claim 1, wherein, The step of reminding the current received message that is matched successfully comprises: converting the current received message that is matched successfully into a target language version, and then reminding; wherein the target language version corresponds to the driver attribute of the current vehicle.

6. A vehicle message alerting device, characterized in that The device comprises: a first determining module configured to determine a driving scene of the current vehicle according to vehicle data and / or road condition information of the current vehicle; The second determining module determines a target message template based on the driving scene, wherein the target message template has a target category matching the business requirement of the driving scene. The reminding module matches the current received message with the word combination configured in the target message template, and reminds the current received message that is matched successfully. The target message template is used to filter the current received message that is matched successfully, and the message that is matched successfully and meets the business requirement of the driving scene in the current received message is reminded. The first determining module determines the driving scene of the current vehicle as a key driving scene if the vehicle state of the current vehicle is determined to be abnormal based on the vehicle data, and / or if the accident rate of the driving road of the current vehicle is higher than a preset threshold based on the road condition information. The second determining module determines the target category of the target message template as a vehicle state message if the driving scene is the key driving scene. The device is further configured to determine whether the driving scene of the current vehicle is a historical regular scene based on the vehicle data and / or the road condition information of the current vehicle. If the driving scene is both the historical regular scene and the key driving scene, the driving scene is changed from the key driving scene to a general driving scene. The driving frequency of the driver in the current road condition, the current time and the current driving route is obtained based on the historical driving record of the vehicle. If the driving frequency exceeds a preset threshold, the driving scene is determined as a historical regular scene that is more familiar to the driver.

7. An electronic device comprising a memory, a processor, the memory having stored therein a computer program executable on the processor, characterized in that, The processor executes the computer program to implement the steps of the method of any one of claims 1 to 5.

8. A machine-readable storage medium, characterized in that, The machine readable storage medium stores machine executable instructions, which, when invoked and executed by the processor, cause the processor to implement the steps of the method of any one of claims 1 to 5.

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