Vehicle accident alerting method, apparatus, device, and medium

Abstract

This application provides a method, device, equipment, and medium for alarming vehicle accidents, relating to the field of accident alarm technology. The method includes: acquiring a vehicle collision signal; if the collision signal exceeds a preset threshold, acquiring the status of the vehicle's communication module; if the vehicle's communication module status is abnormal, determining the status of the occupants and controlling the vehicle's drone to fly to a target observation location to collect external environmental data of the vehicle; controlling the drone's communication module to send vehicle accident alarm information to a target service device; the alarm information includes the collision signal, the status of the occupants, and the external environmental data. The vehicle accident alarm method, device, equipment, and medium provided by this application can enrich alarm information and improve the success rate of vehicle accident alarms.

Description

Technical Field

[0001] This application relates to the field of accident alarm technology, and in particular to an alarm method, device, equipment and medium for vehicle accidents. Background Technology

[0002] With the continuous increase in car ownership, the incidence of traffic accidents remains high. During the critical rescue time after an accident, the ability to promptly and accurately send an emergency alert to the rescue center is directly related to the safety of the injured. Traditional traffic accident alarms mainly rely on automatic collision warning systems equipped in vehicles, based on the vehicle's own sensors and communication modules.

[0003] However, the aforementioned system has significant drawbacks: if the accident damages the vehicle's main communication antenna or module, the alarm fails; it can only send vehicle location and basic data, lacking sufficient richness in alarm information and a detailed description of the vehicle accident itself. Therefore, there is an urgent need to provide a new method for vehicle accident alarms. Summary of the Invention

[0004] This application provides a method, device, equipment, and medium for alarming vehicle accidents, in order to solve the defects of high failure rate and lack of alarm information in the prior art, enrich alarm information, and improve the success rate of vehicle accident alarms.

[0005] Firstly, this application provides a method for alarming vehicle accidents, including: Obtain vehicle collision signals; If the collision signal exceeds a preset threshold, the status of the vehicle's communication module is obtained; If the vehicle's communication module malfunctions, determine the status of the occupants and control the vehicle's drone to fly to the target observation location to collect external environmental data of the vehicle. The communication module of the drone is controlled to send alarm information about a vehicle accident to the target service device; the alarm information includes the collision signal, the status of the people inside the vehicle, and the external environment data.

[0006] Optionally, determining the status of occupants inside the vehicle includes: The system allows for voice interaction with occupants within the vehicle, resulting in the acquisition of voice interaction information. Data is collected from inside the vehicle using an in-vehicle camera. Based on the voice interaction information and the in-vehicle screen data, the status of the people in the vehicle is determined.

[0007] Optionally, the step of interacting with occupants through the vehicle's voice interaction system to obtain voice interaction information includes: Control the voice interaction system to perform at least one status inquiry operation for the person in the vehicle until a response is received from the person in the vehicle or a preset number of inquiries is reached; The query data and the response from the voice interaction system are used as the voice interaction information.

[0008] Optionally, determining the status of the occupants based on the voice interaction information and the in-vehicle screen data includes: Based on the voice interaction information, it is determined whether the person inside the vehicle has given a valid response; Based on the in-vehicle screen data, determine whether there are any signs of activity among the occupants of the vehicle; If the people inside the vehicle respond effectively and show signs of activity, the people inside the vehicle are judged to be in a normal state. If the person inside the vehicle responds effectively and shows no signs of activity, the person inside the vehicle is determined to be in the first abnormal state. If the occupants do not respond effectively but show signs of activity, the occupants are determined to be in a second abnormal state. If the occupants do not respond effectively and show no signs of activity, their condition is determined to be a third abnormal state.

[0009] Optionally, determining whether the occupants in the vehicle have responded effectively based on the voice interaction information includes: If there is no response from the person inside the vehicle in the voice interaction information, it is determined that the person inside the vehicle has no valid response; If the voice interaction information contains a response from the person inside the vehicle, determine whether the response from the person inside the vehicle corresponds to the wording of the status inquiry operation; If the response from the person inside the vehicle does not correspond to the wording of the status inquiry operation, it is determined that the person inside the vehicle has no valid response. If the response from the person inside the vehicle corresponds to the wording of the status inquiry operation, it is determined that the person inside the vehicle has given a valid response.

[0010] Optionally, the alarm information may also include the vehicle's identity information, location information, and the severity of the accident; The method further includes: If the occupants of the vehicle are in a normal state, the severity of the accident is determined to be of the first degree. If the state of the occupants in the vehicle is either the first abnormal state or the second abnormal state, the severity of the accident is determined to be the second level. If the state of the occupants in the vehicle is the third abnormal state, the severity of the accident is determined to be the third level; the third level is more severe than the second level, and the second level is more severe than the first level.

[0011] Optionally, the methods for reporting vehicle accidents also include: If the target service device receives an inquiry about the vehicle accident, it shall respond to the inquiry based on at least one of the external environment data, the voice interaction information, and the in-vehicle screen data.

[0012] Secondly, this application also provides a vehicle accident alarm device, comprising: The acquisition module is used to acquire vehicle collision signals; The inspection module is used to obtain the status of the vehicle's communication module if the collision signal exceeds a preset threshold. The control module is used to determine the status of the people inside the vehicle if the communication module of the vehicle is abnormal, and to control the vehicle's drone to fly to the target observation position in order to collect the external environmental data of the vehicle. An alarm module is used to control the communication module of the drone to send alarm information about a vehicle accident to the target service device; the alarm information includes the collision signal, the status of the people inside the vehicle, and the external environment data.

[0013] Thirdly, this application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in the first aspect.

[0014] Fourthly, this application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0015] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the method described in the first aspect.

[0016] The vehicle accident alarm method, device, equipment, and medium provided in this application, when a vehicle collision occurs, can send alarm information by determining the status of the occupants and collecting external environmental data of the vehicle through an onboard drone. This can improve the richness of the alarm information and can still successfully send an alarm even when the vehicle's communication module is malfunctioning, facilitating the rescue center to take timely and appropriate measures for rescue and ensuring vehicle safety. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is one of the flowcharts illustrating the vehicle accident alarm method provided in the embodiments of this application; Figure 2 This is a second schematic flowchart of the vehicle accident alarm method provided in the embodiments of this application; Figure 3 This is a schematic diagram of the structure of the vehicle accident alarm device provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0019] This application addresses the significant shortcomings of existing automatic collision alarm systems (such as eCall): a. If the accident damages the vehicle's main communication antenna or module, the alarm fails; b. It can only transmit vehicle location and basic data, failing to provide the rescue center with intuitive visual information about the accident scene (such as the degree of vehicle deformation, surrounding environment, whether there is fire / rollover, etc.), resulting in a lack of targeted deployment of rescue forces; c. It cannot effectively determine whether the occupants are conscious or capable of responding. Existing patents and products often utilize vehicle-mounted drones for entertainment, filming, or cargo transport. Their deployment is actively controlled by the user and is not designed for emergency accident scenarios, lacking the ability to automatically trigger, automatically assess, and automatically execute rescue tasks. Independent disaster reconnaissance drones are typically carried and manually operated by rescue personnel, resulting in a time delay from arrival at the scene to takeoff, preventing them from providing information immediately during the "golden rescue time" after an accident. In other words, existing technologies lack a complete solution that can overcome the vehicle's own communication and perception limitations after a collision, automatically, quickly, and proactively acquire panoramic information of the scene and complete intelligent alarm functions.

[0020] To address the aforementioned technical problems, this application provides a system and method integrated into a vehicle that can automatically activate a drone for on-site investigation and alarm after a collision. Its purpose is to: provide a reliable emergency communication link when the main communication fails; automatically acquire and transmit key visual on-site information; intelligently assess the status of drivers and passengers; and significantly shorten the time from the occurrence of the accident to the arrival of effective information at the rescue center.

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] This application provides a method for alarming vehicle accidents, the execution subject of which can be an electronic device, such as a controller on the vehicle. The following description uses the controller as the execution subject of the method. Figure 1 This is one of the flowcharts illustrating the vehicle accident alarm method provided in this application. (Refer to...) Figure 1 The method may include: Step 110: Obtain the vehicle's collision signal; Step 120: If the collision signal exceeds the preset threshold, obtain the status of the vehicle's communication module; Step 130: If the vehicle's communication module is abnormal, determine the status of the people inside the vehicle and control the vehicle's drone to fly to the target observation position to collect data on the vehicle's external environment. Step 140: Control the communication module of the UAV to send alarm information about the vehicle accident to the target service device; the alarm information includes collision signal, status of people inside the vehicle and external environmental data.

[0023] In step 110, when a vehicle collision occurs, the controller can obtain the vehicle's collision signal through the collision sensing module.

[0024] In step 120, if the collision signal exceeds a preset threshold, it indicates a severe collision has occurred, and a vehicle accident alarm is triggered. At this point, the controller can activate the central control module to further check the vehicle's communication module status and determine the availability of the vehicle's main communication system. If the communication status is normal, an alarm can be triggered via the vehicle's automatic alarm system.

[0025] In step 130, if the vehicle's communication module is malfunctioning (e.g., communication is interrupted, weak, or failed), the automatic alarm system based on the vehicle's communication system will fail to issue an alarm. In this case, the drone emergency procedure can be initiated. The controller can further assess the status of the occupants and control the drone's roof-mounted compartment to open, allowing the drone to automatically take off and fly to a preset target observation position (e.g., 5-10 meters above and in front of the vehicle). The drone will then conduct a 360-degree environmental reconnaissance and photography of the accident vehicle and its surrounding environment (e.g., traffic conditions, hazards), collecting external environmental data. In step 140, the drone will transmit alarm information regarding the vehicle accident, including collision signals, occupant status, and external environmental data, to the target service device via its independent mobile communication module (4G / 5G) or satellite communication module. The target service device can be a Public Safety Answering Point (PSAP) and / or the vehicle manufacturer's back-end rescue center.

[0026] Furthermore, if the vehicle's communication module is functioning normally, the controller can still determine the status of the occupants and collect external environmental data, and issue an alarm through the vehicle's automatic alarm system.

[0027] Furthermore, the drone can remain hovering, continuously transmitting external environmental data and issuing aerial warnings until rescue personnel arrive or the battery is about to run out.

[0028] The vehicle accident alarm method provided in this application, when a vehicle collision occurs, can send alarm information by determining the status of the occupants and collecting external environmental data of the vehicle through an onboard drone. This can improve the richness of the alarm information and can still successfully send an alarm even when the vehicle's communication module is in an abnormal state, making it easier for the rescue center to take appropriate measures for rescue in a timely manner and ensuring vehicle safety.

[0029] In some embodiments, determining the status of occupants in the vehicle includes: engaging in voice interaction with occupants through the vehicle's voice interaction system to obtain voice interaction information; collecting in-vehicle image data through an in-vehicle camera; and determining the status of occupants based on the voice interaction information and the in-vehicle image data.

[0030] The vehicle accident alarm method provided in this application can determine the status of the occupants in the vehicle by using voice interaction information and in-vehicle screen data when a vehicle collision occurs. This can accurately identify the status of the occupants, improve the richness of alarm information, and facilitate the rescue center to take timely and reasonable measures for rescue, thereby ensuring vehicle safety.

[0031] In some embodiments, voice interaction is performed with occupants through the vehicle's voice interaction system to obtain voice interaction information, including: controlling the voice interaction system to perform at least one status inquiry operation for the occupants until a response is received from the occupants or a preset number of inquiries is reached; and using the inquiry data and responses from the voice interaction system as voice interaction information.

[0032] The controller can perform at least one status inquiry to the occupants of the vehicle by controlling the vehicle's voice interaction system (such as the in-vehicle microphone and speakers), such as asking, "Hello, occupants? Please answer if you need help," until a response is received or a preset number of inquiries is reached (e.g., three). A preset time interval is maintained between each inquiry. The voice interaction system can also intelligently adjust the volume of the inquiries based on the ambient noise level to ensure that occupants can clearly hear the system. The controller records the inquiry data from the voice interaction system and the responses from the occupants as voice interaction information.

[0033] The vehicle accident alarm method provided in this application embodiment, when a vehicle collision occurs, performs at least one inquiry into the status of the occupants through a voice interaction system. This can obtain effective responses from the occupants as much as possible, which helps to accurately determine their status, improves the richness and accuracy of alarm information, and facilitates the rescue center to take timely and appropriate measures for rescue, thus ensuring vehicle safety.

[0034] In some embodiments, determining the status of occupants based on voice interaction information and in-vehicle screen data includes: determining whether there is a valid response from the occupants based on the voice interaction information; determining whether there are signs of activity from the occupants based on the in-vehicle screen data; if there is a valid response from the occupants and signs of activity, determining that the occupants are in a normal state; if there is a valid response from the occupants and no signs of activity, determining that the occupants are in a first abnormal state; if there is no valid response from the occupants and signs of activity, determining that the occupants are in a second abnormal state; and if there is no valid response from the occupants and no signs of activity, determining that the occupants are in a third abnormal state.

[0035] Furthermore, in some embodiments, determining whether there is a valid response from the occupants of the vehicle based on the voice interaction information includes: if there is no response from the occupants of the vehicle in the voice interaction information, determining that there is no valid response from the occupants of the vehicle; if there is a response from the occupants of the vehicle in the voice interaction information, determining whether the response from the occupants of the vehicle corresponds to the wording of the status inquiry operation; if the response from the occupants of the vehicle does not correspond to the wording of the status inquiry operation, determining that there is no valid response from the occupants of the vehicle; if the response from the occupants of the vehicle corresponds to the wording of the status inquiry operation, determining that there is a valid response from the occupants of the vehicle.

[0036] The controller can determine whether there is a valid response from the occupants by analyzing voice interaction information. Specifically, it judges based on two dimensions: whether the occupants respond, and whether their response corresponds to the script used by the voice interaction system to inquire about their status. Only when the occupants respond, and the response is logically consistent and corresponds to the script used by the voice interaction system to inquire about their status, is a valid response considered valid; otherwise, no valid response is considered valid. The controller can also identify signs of activity from the in-vehicle screen data. For example, if the in-vehicle screen data detects that an occupant is moving, has their eyes open, and is blinking at a normal rate, it can be determined that the occupants are active. When the occupants inside the vehicle respond effectively and show signs of activity, their condition is considered normal. When they do not respond effectively and show no signs of activity, their condition is classified as the third abnormal state, which is a severe abnormal state, indicating that the occupants may have lost consciousness. If they respond effectively but show no signs of activity, their condition is classified as the first abnormal state, indicating that they are conscious but their movement is impaired. If they do not respond effectively but show signs of activity, their condition is classified as the second abnormal state, indicating that they are confused and exhibit some unconscious physical movements.

[0037] The vehicle accident alarm method provided in this application, when a vehicle collision occurs, determines whether there is a valid response from the occupants through voice interaction information; it also determines whether there are signs of activity from the occupants through in-vehicle screen data. By determining whether there is a valid response and signs of activity from the occupants, the status of the occupants can be accurately identified, improving the richness and accuracy of alarm information, facilitating timely and appropriate rescue measures by the rescue center, and ensuring vehicle safety.

[0038] In some embodiments, the alarm information also includes the vehicle's identity information, location information, and the severity of the accident; the alarm method for vehicle accidents further includes: if the status of the occupants is normal, determining the severity of the accident as a first degree; if the status of the occupants is a first abnormal state or a second abnormal state, determining the severity of the accident as a second degree; if the status of the occupants is a third abnormal state, determining the severity of the accident as a third degree; the third degree is more severe than the second degree, and the second degree is more severe than the first degree.

[0039] The controller can obtain the vehicle's location information through the drone or vehicle's Global Navigation Satellite System (GNSS), obtain the Vehicle Identification Number (VIN) as the vehicle's identity information, and determine the severity of the accident by the status of the occupants. When the communication system controlling the drone sends alarm information, in addition to sending collision signals, occupant status and external environment data, it also sends the vehicle's identity information, location information and the severity of the accident.

[0040] The vehicle accident alarm method provided in this application accurately identifies the status of the occupants and the severity of the accident when a vehicle collision occurs, and sends a wealth of alarm information to facilitate the rescue center to take reasonable measures for rescue based on the accident situation, thereby further ensuring vehicle safety.

[0041] In some embodiments, the alarm method for vehicle accidents further includes: if an inquiry about a vehicle accident is received from a target service device, responding to the inquiry based on at least one of external environmental data, voice interaction information, and in-vehicle screen data.

[0042] After the controller sends an alarm message to the target service device, the staff at the corresponding rescue center may have other questions about the specific circumstances of the vehicle accident. While most of these questions can be answered by the rescue center staff through external environmental data, voice interaction information, and / or in-vehicle video data, to ensure timely rescue and improve time utilization, the controller can further analyze the external environmental data, voice interaction information, and / or in-vehicle video data to quickly draw conclusions and then inform the rescue center staff. For example, if the rescue center inquires about the injuries of the occupants, the controller can analyze the in-vehicle video data to identify the injured areas and estimate the amount of bleeding, and then send this information to the rescue center; if the rescue center inquires about the road conditions at the accident scene, the controller can analyze external environmental data to identify the number and speed of surrounding vehicles, and then send this information to the rescue center.

[0043] The vehicle accident alarm method provided in this application, when a vehicle collision occurs, determines the state of the occupants and collects external environmental data as basic alarm information, which is then sent to the target service device. When the target service device issues other inquiries about the vehicle accident, the method provides a response by further analyzing the external environmental data, voice interaction information, and in-vehicle screen data. This not only allows for rapid acquisition of rich alarm information and quick alarm reporting, but also enables rapid analysis of accident data and responses when the target service device issues inquiries, greatly saving rescue time, improving rescue efficiency, and facilitating the rescue center to take appropriate measures for rescue based on the accident situation, thus ensuring vehicle safety.

[0044] Figure 2 This is a second schematic flowchart of the vehicle accident alarm method provided in this application embodiment. (Refer to...) Figure 2 The vehicle accident alarm method provided in this application pioneers an automated emergency response chain linking "vehicle-machine-cloud": seamlessly integrating collision detection, automatic drone deployment, on-site perception, personnel status assessment, and intelligent alarm, achieving unmanned and intelligent operation throughout the entire process from accident detection to information feedback. This application solves the "information black box" problem: providing rescue centers with first-person, panoramic, and visualized accident scene information that traditional automatic alarm systems cannot provide, greatly improving the efficiency and accuracy of rescue decisions; providing communication redundancy: the drone, as an aerial mobile communication node, establishes an emergency communication lifeline that is "impossible to be destroyed by the accident" when the vehicle's main communication fails; and enabling proactive assessment of personnel status: through a fusion judgment mechanism of "multiple voice inquiries + image analysis," it intelligently identifies whether occupants have lost their responsiveness, making alarm information more urgent and targeted.

[0045] The vehicle accident alarm device provided in this application is described below. The vehicle accident alarm device described below can be referred to in correspondence with the vehicle accident alarm method described above.

[0046] Figure 3 This is a structural schematic diagram of the vehicle accident alarm device provided in an embodiment of this application. (Refer to...) Figure 3 The vehicle accident alarm device provided in this application embodiment may include: The acquisition module 310 is used to acquire the collision signal of the vehicle; The inspection module 320 is used to obtain the status of the vehicle's communication module if the collision signal exceeds a preset threshold. The control module 330 is used to determine the status of the people inside the vehicle if the communication module of the vehicle is abnormal, and to control the vehicle's drone to fly to the target observation position to collect the external environmental data of the vehicle. The alarm module 340 is used to control the communication module of the drone to send alarm information about a vehicle accident to the target service device; the alarm information includes the collision signal, the status of the people inside the vehicle, and the external environment data.

[0047] The vehicle accident alarm device provided in this application can send alarm information when a vehicle collision occurs by determining the status of the occupants and collecting external environmental data of the vehicle through an onboard drone. This can improve the richness of the alarm information and can still successfully send an alarm even when the vehicle's communication module is in an abnormal state, making it easier for the rescue center to take appropriate measures for rescue in a timely manner and ensuring vehicle safety.

[0048] In some embodiments, the control module is used to: The system allows for voice interaction with occupants within the vehicle, resulting in the acquisition of voice interaction information. Data is collected from inside the vehicle using an in-vehicle camera. Based on the voice interaction information and the in-vehicle screen data, the status of the people in the vehicle is determined.

[0049] In some embodiments, the control module is used to: Control the voice interaction system to perform at least one status inquiry operation for the person in the vehicle until a response is received from the person in the vehicle or a preset number of inquiries is reached; The query data and the response from the voice interaction system are used as the voice interaction information.

[0050] In some embodiments, the control module is used to: Based on the voice interaction information, it is determined whether the person inside the vehicle has given a valid response; Based on the in-vehicle screen data, determine whether there are any signs of activity among the occupants of the vehicle; If the people inside the vehicle respond effectively and show signs of activity, the people inside the vehicle are judged to be in a normal state. If the person inside the vehicle responds effectively and shows no signs of activity, the person inside the vehicle is determined to be in the first abnormal state. If the occupants do not respond effectively but show signs of activity, the occupants are determined to be in a second abnormal state. If the occupants do not respond effectively and show no signs of activity, their condition is determined to be a third abnormal state.

[0051] In some embodiments, the control module is used to: If there is no response from the person inside the vehicle in the voice interaction information, it is determined that the person inside the vehicle has no valid response; If the voice interaction information contains a response from the person inside the vehicle, determine whether the response from the person inside the vehicle corresponds to the wording of the status inquiry operation; If the response from the person inside the vehicle does not correspond to the wording of the status inquiry operation, it is determined that the person inside the vehicle has no valid response. If the response from the person inside the vehicle corresponds to the wording of the status inquiry operation, it is determined that the person inside the vehicle has given a valid response.

[0052] In some embodiments, the alarm information may also include the vehicle's identity information, location information, and the severity of the accident; The control module is also used for: If the occupants of the vehicle are in a normal state, the severity of the accident is determined to be of the first degree. If the state of the occupants in the vehicle is either the first abnormal state or the second abnormal state, the severity of the accident is determined to be the second level. If the state of the occupants in the vehicle is the third abnormal state, the severity of the accident is determined to be the third level; the third level is more severe than the second level, and the second level is more severe than the first level.

[0053] In some embodiments, the alarm module is further configured to: If the target service device receives an inquiry about the vehicle accident, it shall respond to the inquiry based on at least one of the external environment data, the voice interaction information, and the in-vehicle screen data.

[0054] Specifically, the vehicle accident alarm device provided in this application embodiment can implement all the method steps implemented by the method embodiment with the controller as the execution subject, and can achieve the same technical effect. Here, the parts that are the same as those in the method embodiment and the beneficial effects will not be described in detail.

[0055] Figure 4 This is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. For example... Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communications interface 420, and the memory 430 communicate with each other via the communication bus 440. The processor 410 can call logical instructions in the memory 430 to execute vehicle accident alarm methods, such as: Obtain vehicle collision signals; If the collision signal exceeds a preset threshold, the status of the vehicle's communication module is obtained; If the vehicle's communication module malfunctions, determine the status of the occupants and control the vehicle's drone to fly to the target observation location to collect external environmental data of the vehicle. The communication module of the drone is controlled to send alarm information about a vehicle accident to the target service device; the alarm information includes the collision signal, the status of the people inside the vehicle, and the external environment data.

[0056] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0057] On the other hand, this application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the vehicle accident alarm method provided by the above methods, including, for example: Obtain vehicle collision signals; If the collision signal exceeds a preset threshold, the status of the vehicle's communication module is obtained; If the vehicle's communication module malfunctions, determine the status of the occupants and control the vehicle's drone to fly to the target observation location to collect external environmental data of the vehicle. The communication module of the drone is controlled to send alarm information about a vehicle accident to the target service device; the alarm information includes the collision signal, the status of the people inside the vehicle, and the external environment data.

[0058] Furthermore, this application also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to perform the steps of the vehicle accident alarm method provided by the above methods, such as including: Obtain vehicle collision signals; If the collision signal exceeds a preset threshold, the status of the vehicle's communication module is obtained; If the vehicle's communication module malfunctions, determine the status of the occupants and control the vehicle's drone to fly to the target observation location to collect external environmental data of the vehicle. The communication module of the drone is controlled to send alarm information about a vehicle accident to the target service device; the alarm information includes the collision signal, the status of the people inside the vehicle, and the external environment data.

[0059] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0060] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0061] It should also be noted that in the embodiments of this application, the terms "first," "second," etc., are used to distinguish similar objects, and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, and the number of objects is not limited. For example, the first object can be one or more.

[0062] In this application embodiment, the term "and / or" describes the association relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0063] In this application's embodiments, "determine B based on A" means that factor A must be considered when determining B. It is not limited to "B can be determined based solely on A," but should also include: "determine B based on A and C," "determine B based on A, C, and E," "determine C based on A, and further determine B based on C," etc. Additionally, it can include using A as a condition for determining B, for example, "when A meets the first condition, determine B using the first method"; another example, "when A meets the second condition, determine B," etc.; another example, "when A meets the third condition, determine B based on the first parameter," etc. Of course, it can also be a condition where A is a factor in determining B, for example, "when A meets the first condition, determine C using the first method, and further determine B based on C," etc.

[0064] In the embodiments of this application, the term "multiple" refers to two or more, and other quantifiers are similar.

[0065] In this application, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this application, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications 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 this application.

Claims

1. A method for alarming vehicle accidents, characterized in that, include: Obtain vehicle collision signals; If the collision signal exceeds a preset threshold, the status of the vehicle's communication module is obtained; If the vehicle's communication module malfunctions, determine the status of the occupants and control the vehicle's drone to fly to the target observation location to collect external environmental data of the vehicle. The communication module of the drone is controlled to send alarm information about a vehicle accident to the target service device; the alarm information includes the collision signal, the status of the people inside the vehicle, and the external environment data.

2. The vehicle accident alarm method according to claim 1, characterized in that, Determining the status of the occupants inside the vehicle includes: The system allows for voice interaction with occupants within the vehicle, resulting in the acquisition of voice interaction information. Data is collected from inside the vehicle using an in-vehicle camera. Based on the voice interaction information and the in-vehicle screen data, the status of the people in the vehicle is determined.

3. The vehicle accident alarm method according to claim 2, characterized in that, The process of interacting with occupants through the vehicle's voice interaction system to obtain voice interaction information includes: Control the voice interaction system to perform at least one status inquiry operation for the person in the vehicle until a response is received from the person in the vehicle or a preset number of inquiries is reached; The query data and the response from the voice interaction system are used as the voice interaction information.

4. The vehicle accident alarm method according to claim 3, characterized in that, The step of determining the status of the occupants in the vehicle based on the voice interaction information and the in-vehicle screen data includes: Based on the voice interaction information, it is determined whether the person inside the vehicle has given a valid response; Based on the in-vehicle screen data, determine whether there are any signs of activity among the occupants of the vehicle; If the people inside the vehicle respond effectively and show signs of activity, the people inside the vehicle are judged to be in a normal state. If the person inside the vehicle responds effectively and shows no signs of activity, the person inside the vehicle is determined to be in the first abnormal state. If the occupants do not respond effectively but show signs of activity, the occupants are determined to be in a second abnormal state. If the occupants do not respond effectively and show no signs of activity, their condition is determined to be a third abnormal state.

5. The vehicle accident alarm method according to claim 4, characterized in that, The step of determining whether the occupants in the vehicle have responded effectively based on the voice interaction information includes: If there is no response from the person inside the vehicle in the voice interaction information, it is determined that the person inside the vehicle has no valid response; If the voice interaction information contains a response from the person inside the vehicle, determine whether the response from the person inside the vehicle corresponds to the wording of the status inquiry operation; If the response from the person inside the vehicle does not correspond to the wording of the status inquiry operation, it is determined that the person inside the vehicle has no valid response. If the response from the person inside the vehicle corresponds to the wording of the status inquiry operation, it is determined that the person inside the vehicle has given a valid response.

6. The vehicle accident alarm method according to claim 4, characterized in that, The alarm information also includes the vehicle's identity information, location information, and the severity of the accident; The method further includes: If the occupants of the vehicle are in a normal state, the severity of the accident is determined to be of the first degree. If the state of the occupants in the vehicle is either the first abnormal state or the second abnormal state, the severity of the accident is determined to be the second level. If the state of the occupants in the vehicle is the third abnormal state, the severity of the accident is determined to be the third level; the third level is more severe than the second level, and the second level is more severe than the first level.

7. The vehicle accident alarm method according to claim 2, characterized in that, Also includes: If the target service device receives an inquiry about the vehicle accident, it shall respond to the inquiry based on at least one of the external environment data, the voice interaction information, and the in-vehicle screen data.

8. A vehicle accident alarm device, characterized in that, include: The acquisition module is used to acquire vehicle collision signals; The inspection module is used to obtain the status of the vehicle's communication module if the collision signal exceeds a preset threshold. The control module is used to determine the status of the people inside the vehicle if the communication module of the vehicle is abnormal, and to control the vehicle's drone to fly to the target observation position in order to collect the external environmental data of the vehicle. An alarm module is used to control the communication module of the drone to send alarm information about a vehicle accident to the target service device; the alarm information includes the collision signal, the status of the people inside the vehicle, and the external environment data.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the vehicle accident alarm method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the vehicle accident alarm method as described in any one of claims 1 to 7.

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