Vehicle accident remote identification method, device, vehicle, equipment and storage medium

Abstract

The present invention provides a method, device, vehicle, equipment and storage medium for remote identification of vehicle accidents. The method includes: if there is vehicle status data loss in the cloud, the vehicle status data stored before the data loss time is determined as the first status data; if no new vehicle status data is received within a preset first interval after the data loss time, the accident identification result is determined as a vehicle abnormality, a data transmission request is sent to the vehicle end to wake up the target data transmission device, the second status data is uploaded to the cloud, the second status data uploaded by the vehicle end is received, the vehicle accident is identified according to the parameter types of the first status data, the second status data and the second status data, the accident identification result is updated based on the result of the vehicle accident identification, and the second status data of different parameter types are uploaded by different target data transmission devices; the accuracy and timeliness of accident identification are improved by secondary accident identification and uploading data by different target data transmission devices.

Description

Technical Field

[0001] The present application relates to the field of vehicle safety technology, and in particular to a method, device, vehicle, equipment and storage medium for remotely identifying vehicle accidents. Background Art

[0002] As user experience becomes increasingly important and the full life cycle car experience becomes one of the main manifestations of automobile brand differentiation strategy, the use of emerging technologies such as Internet of Vehicles, big data, and artificial intelligence to accurately judge vehicle accidents and provide timely and comprehensive rescue methods has become a key factor of common concern for automobile brands and users. At present, there are mainly the following methods for vehicle accident identification: traditional reliance on telephone reports from drivers and passengers, witnesses, and road monitoring personnel to passively identify vehicle accidents; active identification of vehicle accidents through the cloud after uploading the signals from vehicle sensors to the cloud; active identification of vehicle accidents through artificial intelligence technology based on the upload of vehicle-side images and video materials; and identification based on networking of road-side equipment.

[0003] In the existing relevant technologies, the efficiency of passive identification of vehicle accidents is low, and the status of the driver and passengers, the strength of the communication signal, and the timeliness of discovery by other personnel all affect the timeliness of vehicle accident identification, which can easily miss the golden opportunity for traffic rescue; in the process of active identification of vehicle accidents, due to factors such as the degree of accident collision, the fragility of vehicle-side data collection and transmission hardware, the status of the communication network, and data quality, there are often defects such as untimely identification, low identification accuracy, or even failure to identify. Summary of the invention

[0004] The present invention provides a vehicle accident remote identification method, device, vehicle, equipment and storage medium to solve the above-mentioned technical problem of being unable to timely identify vehicle accidents and having low identification accuracy due to factors such as vehicle data accuracy and data timeliness.

[0005] In one embodiment of the present application, the present application provides a method for remote identification of vehicle accidents, including: if it is detected that vehicle status data is lost in the cloud, the vehicle status data stored before the data loss time is determined as the first status data; if no new vehicle status data is received within a preset first interval after the data loss time, the accident identification result is determined as a vehicle abnormality, and a data transmission request is sent to the vehicle end, so that the vehicle end wakes up the target data transmission device in response to the data transmission request, and uploads the second status data to the cloud; the second status data uploaded by the vehicle end is received, and vehicle accidents are identified according to the first status data, the second status data and the parameter type of the second status data, and the accident identification result is updated based on the result of vehicle accident identification; wherein the vehicle status data is actively uploaded to the cloud by the vehicle end, the parameter type includes a full type or a limited safety type, and the second status data of different parameter types are uploaded by different target data transmission devices.

[0006] In one embodiment of the present application, vehicle accident identification is performed based on the first state data, the second state data and the parameter type of the second state data, including: if the parameter type of the second state data is a full type, the result of the vehicle accident identification is determined based on the fault definition information corresponding to the fault code; if the parameter type of the second state data is a limited safety type, the result of the vehicle accident identification is determined based on the target parameter information and the driving distance difference between the target positioning information and the target motion information; wherein, the second state data includes a fault code, the target positioning information and the target motion information are obtained based on the second state data and the first state data, and the target parameter information is obtained based on the second state data.

[0007] In one embodiment of the present application, the result of vehicle accident identification is determined according to the driving distance difference between the target parameter information and the target positioning information and the target motion information, including: determining the theoretical driving distance based on the first motion information and the second motion information in the target motion information; determining the positioning driving distance according to the target road information, the first positioning information and the second positioning information in the target positioning information; if the absolute value of the difference between the theoretical driving distance and the positioning driving distance is less than a preset first threshold, and the parking sign information is no parking behavior, then the result of vehicle accident identification is determined as the vehicle is normal; if the absolute value of the difference between the theoretical driving distance and the positioning driving distance is greater than or equal to the preset first threshold, and the vehicle out-of-control parameter is greater than or equal to the preset second threshold, then the result of vehicle accident identification is determined as the occurrence of a vehicle accident, so as to generate rescue prompt information; wherein, the first motion information includes the first vehicle speed and the first acceleration corresponding to the moment of data loss, the second motion information includes the second vehicle speed when reacquiring data, the target parameter information includes the parking sign information and the vehicle out-of-control parameter, and the reacquiring data refers to the moment of waking up the target data transmission device and uploading the second state data to the cloud.

[0008] In one embodiment of the present application, the determination of the target parameter information includes: if it is detected that a switch operation of the vehicle door is detected within a preset second interval, and the seat belt is in an unfastened state, and there is a change in gravity data, then the stop sign information is determined as an intermediate stop; wherein the vehicle out-of-control parameter includes the yaw angle and / or the second acceleration when the data is re-acquired.

[0009] In one embodiment of the present application, the vehicle end wakes up the target data transmission device in response to the data transmission request and uploads the second status data to the cloud, including: the target data transmission device includes a main data transmission device and a backup data transmission device; the data transmission request is generated based on the loss of vehicle status data in the cloud and no new vehicle status data is received within a preset first interval; if the main data transmission device is successfully awakened, the collected full data is uploaded to the cloud as the second status data through the main data transmission device, so that the cloud can identify vehicle accidents based on the full data; if the main data transmission device fails to wake up, the backup data transmission device is awakened, and the collected limited safety data is uploaded to the cloud as the second status data through the backup data transmission device, so that the cloud can identify vehicle accidents based on the limited safety data.

[0010] In one embodiment of the present application, the present application provides a remote identification device for a vehicle accident, comprising: a data loss determination module, for determining the vehicle status data stored before the time of data loss as the first status data if vehicle status data loss is detected in the cloud; a data re-acquisition module, for determining the accident identification result as a vehicle abnormality if no new vehicle status data is received within a preset first interval after the time of data loss, and sending a data transmission request to the vehicle side, so that the vehicle side wakes up the target data transmission device in response to the data transmission request and uploads the second status data to the cloud; an accident determination module, for receiving the second status data uploaded by the vehicle side, and identifying a vehicle accident according to the first status data, the second status data and the parameter type of the second status data, and updating the accident identification result based on the result of vehicle accident identification; wherein the vehicle status data is actively uploaded to the cloud by the vehicle side, the parameter type includes a full type or a limited safety type, and the second status data of different parameter types are uploaded by different target data transmission devices.

[0011] In one embodiment of the present application, the present application provides a vehicle, including: an active data upload module, used to continuously upload collected vehicle status data to the cloud through a main data transmission device; a main device wake-up module, used to wake up the main data transmission device in response to a data transmission request, and the data transmission request is based on the loss of vehicle status data in the cloud and no new vehicle status data is received within a preset first interval; a full data upload module, used to upload the collected full data as second status data to the cloud through the main data transmission device if the main data transmission device is successfully awakened, so as to identify vehicle accidents based on the full data through the cloud; a limited safety data upload module, used to wake up the backup data transmission device if the main data transmission device fails to wake up, and upload the collected limited safety data as second status data to the cloud through the backup data transmission device, so as to identify vehicle accidents based on the limited safety data through the cloud.

[0012] In one embodiment of the present application, the installation and arrangement positions of the main collection device corresponding to the main data transmission device and the backup collection device corresponding to the backup data transmission device are different, and the main collection device and the backup collection device are respectively installed with independent rechargeable batteries; after the independent rechargeable battery is depleted, it is automatically charged by at least one of the power battery, the engine, and the range extender.

[0013] In one embodiment of the present application, the present application provides an electronic device, which includes: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic device implements the steps of the vehicle accident remote identification method as described in any one of the above.

[0014] In one embodiment of the present application, the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor of a computer, the computer executes the steps of any one of the above-mentioned vehicle accident remote identification methods.

[0015] Beneficial effects of the embodiments of the present invention: The present invention provides a method, device, vehicle, equipment and storage medium for remote identification of vehicle accidents. The embodiments of the present invention can make a first preliminary judgment that there is an abnormality in the vehicle and send a data transmission request to the vehicle when it detects that there is a scenario in the cloud where the vehicle status data actively uploaded by the vehicle side is lost, and no new vehicle status data is received within a preset first interval; actively wake up different target data transmission devices by the cloud to upload data, thereby reducing the scenarios where data cannot be uploaded in a timely and highly reliable manner due to vehicle accidents, and increasing the accuracy of vehicle accident identification; the vehicle side responds to the data transmission request to obtain the second status data for secondary vehicle accident identification, and improves the accuracy and timeliness of accident judgment through two vehicle abnormality identifications, thereby improving the safety of people and vehicles and shortening the rescue time.

[0016] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0018] Figure 1 A schematic diagram showing an exemplary system architecture to which the technical solution of the embodiments of the present application can be applied;

[0019] Figure 2 A schematic diagram of a process of a vehicle accident remote identification method according to an embodiment of the present application is shown;

[0020] Figure 3 A schematic diagram showing a process flow of a vehicle accident remote identification method according to another embodiment of the present application is shown;

[0021] Figure 4 A schematic diagram showing redundant data transmission according to an embodiment of the present application is shown;

[0022] Figure 5 A schematic diagram of an implementation process of a vehicle accident remote identification method according to an embodiment of the present application is shown;

[0023] Figure 6 A block diagram of a vehicle accident remote identification device according to an embodiment of the present application is shown;

[0024] Figure 7 A block diagram of a vehicle according to an embodiment of the present application is shown;

[0025] Figure 8 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0026] The following describes the embodiments of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0027] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application, and thus the drawings only show components related to the present application rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed at will, and the component layout may also be more complicated.

[0028] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application. However, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present application difficult to understand.

[0029] See also Figure 1 , Figure 1 A schematic diagram of an exemplary system architecture to which the technical solution of the embodiment of the present application can be applied is shown. Figure 1 As shown, the system architecture may include a cloud end 101 and a vehicle end 102. The cloud end 101 is used for remotely identifying vehicle accidents, and the vehicle end 102 is used for data uploading.

[0030] Exemplarily, if it is detected that vehicle status data is lost in the cloud, the vehicle status data stored before the time of data loss is determined as the first status data; if no new vehicle status data is received within a preset first interval after the time of data loss, the accident identification result is determined as a vehicle abnormality, and a data transmission request is sent to the vehicle side, so that the vehicle side wakes up the target data transmission device in response to the data transmission request and uploads the second status data to the cloud; the second status data uploaded by the vehicle side is received, and vehicle accidents are identified according to the parameter types of the first status data, the second status data and the second status data, and the accident identification result is updated based on the result of vehicle accident identification; wherein, the vehicle status data is actively uploaded to the cloud by the vehicle side, and the parameter type includes a full type or a limited safety type, and the second status data of different parameter types are uploaded by different target data transmission devices.

[0031] In the related technologies, in the process of actively identifying vehicle accidents, due to factors such as the degree of accident collision, the fragility of vehicle-side data collection and transmission hardware, the status of the communication network, the timeliness of data upload, data quality and data loss, there are often defects such as untimely identification, low identification accuracy, or even failure to identify.

[0032] In order to solve the above technical problems, the present application provides a method, device, vehicle, equipment and storage medium for remote identification of vehicle accidents. The implementation details of the technical solution of the embodiment of the present application are elaborated in detail below.

[0033] See also Figure 2 , Figure 2 FIG. 2 is a flow chart of a method for remotely identifying a vehicle accident according to an embodiment of the present application. Figure 2 As shown, in an exemplary embodiment, the vehicle accident remote identification method includes at least steps S210 to S230, which are applied to the cloud and are described in detail as follows:

[0034] Step S210: If it is detected that vehicle status data is lost in the cloud, the vehicle status data stored before the data loss is determined as the first status data.

[0035] Among them, the vehicle status data is actively uploaded to the cloud by the vehicle.

[0036] In one embodiment of the present application, the vehicle status data includes key feature status of the vehicle and driving data, and the driving data includes data such as speed, acceleration, yaw angle, geographic location, and vehicle power battery power or fuel level.

[0037] In one embodiment of the present application, according to the set data collection type, cycle and preset transmission protocol, the collected vehicle status data stored in the cloud at the time of data loss and within the preset third period forward is used as the first comparison data point A. The preset third period can be 30 seconds.

[0038] In step S220, if no new vehicle status data is received within the preset first interval after the data loss moment, the accident identification result is determined as a vehicle abnormality, and a data transmission request is sent to the vehicle side, so that the vehicle side wakes up the target data transmission device in response to the data transmission request and uploads the second status data to the cloud.

[0039] In one embodiment of the present application, a preset first interval is set, such as 5 minutes, 10 minutes or 30 minutes, and new vehicle status data is obtained again in the cloud. If there is still no new vehicle status data, it is considered that an abnormality has occurred in the vehicle.

[0040] In one embodiment of the present application, see Figure 3 , Figure 3 FIG. 2 shows a flow chart of a method for remotely identifying a vehicle accident according to another embodiment of the present application. Figure 3 As shown, in an exemplary embodiment, the vehicle accident remote identification method at least includes steps S310 to S340, which are applied to the vehicle side, so that the vehicle side wakes up the target data transmission device in response to the data transmission request and uploads the second state data to the cloud, wherein the target data transmission device includes a main data transmission device and a backup data transmission device, which are described in detail as follows:

[0041] Step S310: The primary data transmission device continuously uploads the collected vehicle status data to the cloud.

[0042] In one embodiment of the present application, data on the dynamic, static and abnormal states of various vehicle components are recorded based on business needs or product needs, and the generated data is recorded and stored in real time to facilitate data collection on the vehicle side.

[0043] In one embodiment of the present application, vehicle status data is obtained by using a data transmission device to collect controller area network (CAN) signals, message data, local interconnect network (LIN) signals, logs and other data in real time.

[0044] In one embodiment of the present application, the vehicle status data is collected by a primary collection device and actively uploaded to the cloud by a primary data transmission device.

[0045] In one embodiment of the present application, the main collection device is equipped with an independent rechargeable battery. When fully charged, the main collection device can be enabled to work continuously for 1 hour. If the independent rechargeable battery is low, it can be automatically charged from the vehicle's power battery, engine or range extender until it is fully charged.

[0046] In one embodiment of the present application, the main data transmission device and the main collection device can be installed together, and the main data transmission device is powered by an independent rechargeable battery installed in the main collection device.

[0047] Step S320, waking up the main data transmission device in response to a data transmission request, the data transmission request being based on the fact that there is a loss of vehicle status data in the cloud and no new vehicle status data is generated within a preset first interval.

[0048] In one embodiment of the present application, based on the result of vehicle abnormality judgment, the vehicle use agreement when the vehicle is first delivered states that when an accident is suspected, the main data transmission device and the backup data transmission device in the vehicle will be awakened unconsciously, and with the authorization of the vehicle owner, the cloud will initiate remote awakening of the vehicle's main data transmission device.

[0049] In step S330, if the primary data transmission device is awakened successfully, the collected full data is uploaded to the cloud as the second state data through the primary data transmission device, so as to perform vehicle accident identification based on the full data through the cloud.

[0050] In one embodiment of the present application, if the primary data transmission device is successfully started and uploads full data, the backup data transmission device will no longer be woken up.

[0051] Step S340: If the active data transmission device fails to be awakened, the standby data transmission device is awakened, and the collected limited safety data is uploaded to the cloud as the second state data through the standby data transmission device, so as to perform vehicle accident identification based on the limited safety data through the cloud.

[0052] In one embodiment of the present application, if the main data transmission device fails to obtain the full amount of data, the backup data transmission device is awakened, limited safety data is collected through the backup collection device corresponding to the backup data transmission device, and the collected limited safety data is uploaded to the cloud through the backup data transmission device. The data type corresponding to the limited safety data is pre-set.

[0053] In one embodiment of the present application, the backup data transmission device is an emergency and backup device for the primary data transmission device, and is used when the primary data transmission device fails and / or is physically damaged by a collision and cannot transmit data to the cloud. The backup data transmission device does not obtain full data, but only obtains limited safety data to ensure that the data volume and physical volume are small, and is suitable for being placed in the most difficult position of the vehicle to be damaged, to maximize the guarantee that it will not be damaged in an accident.

[0054] In one embodiment of the present application, the backup data acquisition device is equipped with an independent rechargeable battery. When fully charged, the backup data acquisition device can be enabled to work continuously for 1 hour. If the independent rechargeable battery is low on power, it can be automatically charged from the vehicle's power battery, engine or range extender until it is fully charged.

[0055] In one embodiment of the present application, the backup data transmission device and the backup acquisition device can be installed together, and the backup data transmission device can be powered by an independent rechargeable battery corresponding to the backup acquisition device.

[0056] In one embodiment of the present application, see Figure 4 , Figure 4 FIG. 2 shows a schematic diagram of redundant data transmission according to an embodiment of the present application. Figure 4 As shown, after the components on the vehicle side are buried, full data is collected by the main collection device corresponding to the main data transmission device, and in response to the data transmission request issued by the cloud, full data is uploaded to the data processing system in the cloud through the main data transmission device to perform remote identification of vehicle accidents; limited safety data is collected by the backup collection device corresponding to the backup data transmission device, and when the main data transmission device fails to be awakened, the backup data transmission device is awakened, and limited safety data is uploaded to the data processing system in the cloud to perform remote identification of vehicle accidents.

[0057] Step S230, receiving the second state data uploaded by the vehicle, and performing vehicle accident identification according to the first state data, the second state data and the parameter type of the second state data, and updating the accident identification result based on the result of the vehicle accident identification.

[0058] The parameter type includes a full type or a limited security type, and the second state data of different parameter types are uploaded by different target data transmission devices.

[0059] In one embodiment of the present application, vehicle accident identification is performed based on first state data, second state data and the parameter type of the second state data, including: if the parameter type of the second state data is a full type, the result of the vehicle accident identification is determined based on the fault definition information corresponding to the fault code; if the parameter type of the second state data is a limited safety type, the result of the vehicle accident identification is determined based on the target parameter information and the driving distance difference between the target positioning information and the target motion information; wherein the second state data includes the fault code, the target positioning information and the target motion information are obtained based on the second state data and the first state data, and the target parameter information is obtained based on the second state data.

[0060] In one embodiment of the present application, the reacquired second state data is used as the second comparison data point B.

[0061] In one embodiment of the present application, if the second comparison data point B is the full amount of data obtained through the main data transmission device, all data within the period from data loss to re-acquisition will be obtained. If a fault occurs, a fault code will be reported, and whether an accident occurred during the data loss period can be analyzed based on the set fault code definition rules.

[0062] In one embodiment of the present application, the result of vehicle accident identification is determined according to the driving distance difference between the target parameter information and the target positioning information and the target motion information, including: determining the theoretical driving distance based on the first motion information and the second motion information in the target motion information; determining the positioning driving distance according to the target road information, the first positioning information and the second positioning information in the target positioning information; if the absolute value of the difference between the theoretical driving distance and the positioning driving distance is less than the preset first threshold, and the parking sign information is no parking behavior, then the result of vehicle accident identification is determined as the vehicle is normal; if the absolute value of the difference between the theoretical driving distance and the positioning driving distance is greater than or equal to the preset first threshold, and the vehicle out-of-control parameter is greater than or equal to the preset second threshold, then the result of vehicle accident identification is determined as the occurrence of a vehicle accident, so as to generate rescue prompt information; wherein, the first motion information includes the first vehicle speed and the first acceleration corresponding to the moment of data loss, the second motion information includes the second vehicle speed when reacquiring data, the target parameter information includes the parking sign information and the vehicle out-of-control parameter, and reacquiring data refers to the moment of waking up the target data transmission device and uploading the second state data to the cloud. It should be noted that the difference between the moment of reacquiring data and the moment of data loss is greater than or equal to the preset first interval.

[0063] In one embodiment of the present application, the second comparison data point B is limited safety data obtained through a backup data transmission device, and the limited safety data includes speed, acceleration, yaw angle, geographic location, number of intelligent driving or human driving, door status, seat belt occupancy, vehicle power battery power or fuel level and other data.

[0064] In one embodiment of the present application, the determination of the theoretical driving distance is as follows:

[0065] Formula (1)

[0066] in, is the second speed, is the first speed, a is the first acceleration, The theoretical driving distance.

[0067] In one embodiment of the present application, the initial positioning distance is determined as follows:

[0068] Formula (2)

[0069] in, To locate the initial distance, To obtain the second positioning information when re-acquiring data, It is the first positioning information at the moment of data loss.

[0070] In one embodiment of the present application, the initial positioning distance is updated according to the target road information to obtain the positioning driving distance corresponding to the actual driving distance. For example, the target road information includes that the road corresponding to the data point B and the data point A is a right-angle turn.

[0071] In one embodiment of the present application, determination of target parameter information includes: if it is detected that a door switch operation is performed within a preset second interval, and the seat belt is in an unfastened state, and there is a change in gravity data, then the stop sign information is determined as an intermediate stop; wherein the vehicle out-of-control parameters include the yaw angle and / or the second acceleration when the data is acquired again.

[0072] In one embodiment of the present application, the preset first threshold may be set as a multiple of the minimum or maximum value of the theoretical driving distance and the positioned driving distance to determine whether the difference between the theoretical driving distance and the positioned driving distance is large. This is only an example.

[0073] In one embodiment of the present application, if Closer , and comprehensively judge whether there is intermediate parking by the vehicle doors, seat belts and gravity sensors, and judge whether the vehicle is normal; if and If the difference is large, such as more than 1 times of the minimum value, and the combined second acceleration and yaw angle are greater than the preset second threshold, it is determined that a vehicle accident has occurred.

[0074] In one embodiment of the present application, normal efficient automatic flow response and care rescue are carried out based on the accident identification results.

[0075] In one embodiment of the present application, see Figure 5 , Figure 5 FIG. 1 is a schematic diagram showing an implementation flow of a method for remotely identifying a vehicle accident according to an embodiment of the present application. Figure 5 As shown, step S510, the vehicle signal is lost, and all kinds of data are lost on the cloud platform: it is detected that there is a loss of vehicle status data in the cloud; step S520, obtain the status data such as vehicle speed, gear position and geographical location at the time of vehicle loss: determine the vehicle status data stored before the data loss time as the first status data; step S530, after a certain period, the signal and data are still not returned, confirming that the vehicle is abnormal: if no new vehicle status data is received within the preset first interval after the data loss time, a data transmission request is sent to the vehicle side; step S540, remotely wake up the main data transmission device at the vehicle side, and secondarily wake up the backup data transmission device: the vehicle side responds to the data transmission request to wake up the main data transmission device. If the main data transmission device is successfully woken up, the full amount of data collected by the main data transmission device is uploaded to the cloud as the second status data. If the main data transmission device is successfully woken up, the full amount of data collected by the main data transmission device is uploaded to the cloud as the second status data. If the data transmission device fails to be awakened, the backup data transmission device is awakened, and the limited safety data collected by the backup data transmission device is uploaded to the cloud as the second state data; step S550, the distance is given by the positioning and motion data, and the actual distance traveled by the vehicle during the signal loss period is calculated in combination with the environmental characteristics: the theoretical driving distance is determined based on the first motion information and the second motion information in the target motion information, and the positioning driving distance is determined according to the target road information, the first positioning information and the second positioning information in the target positioning information; step S560, vehicle accident prediction model: compare the distance difference between the positioning driving distance and the theoretical driving distance, and determine whether the vehicle has an accident in combination with the parking sign information and the vehicle out-of-control parameters; step S570, determine that the vehicle has an accident and start the rescue process: if the accident identification result is that a vehicle accident has occurred, a rescue prompt information is generated to carry out rescue. After the cloud of the present application detects the loss of vehicle status data, based on the main and backup data transmission devices and collection devices, it makes up for the fact that the data upload of current smart cars is easily affected by the collision location, network conditions and other factors. By comparing the first comparison data point A and the second comparison data point B, the accident information can be known in the first time, and remote diagnosis and analysis can be carried out to improve the accuracy and timeliness of accident judgment and shorten the rescue time; and in the scenarios where most vehicles have serious accidents, the limited safety data collected by the backup data transmission equipment of the present application can still be stored locally on the vehicle side and / or uploaded to the cloud for care rescue and accident analysis.

[0076] See also Figure 6 , Figure 6A block diagram of a vehicle accident remote identification device according to an embodiment of the present application is shown. The device can be applied to Figure 1 The implementation environment shown is specifically configured in the cloud 101. The device may also be applicable to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applicable.

[0077] like Figure 6 As shown, a vehicle accident remote identification device 600 according to an embodiment of the present application includes: a data loss determination module 601 , a data re-acquisition module 602 and an accident determination module 603 .

[0078] The data loss determination module 601 is used to determine the vehicle state data stored before the data loss moment as the first state data if it is detected that the vehicle state data is lost in the cloud;

[0079] The data re-acquisition module 602 is used to determine the accident identification result as an abnormality of the vehicle if no new vehicle status data is received within a preset first interval after the data loss moment, and send a data transmission request to the vehicle end, so that the vehicle end wakes up the target data transmission device in response to the data transmission request and uploads the second status data to the cloud;

[0080] The accident determination module 603 is used to receive the second state data uploaded by the vehicle end, and identify the vehicle accident according to the first state data, the second state data and the parameter type of the second state data, and update the accident identification result based on the result of the vehicle accident identification;

[0081] Among them, the vehicle status data is actively uploaded to the cloud by the vehicle side. The parameter types include full type or limited safety type. The second status data of different parameter types are uploaded by different target data transmission devices.

[0082] See also Figure 7 , Figure 7 A block diagram of a vehicle according to an embodiment of the present application is shown. The device can be applied to Figure 1 The implementation environment shown is specifically configured in the vehicle end 102. The device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applied.

[0083] like Figure 7 As shown, a vehicle 700 according to an embodiment of the present application includes: an active data upload module 701, a main device wake-up module 702, a full data upload module 703 and a limited safety data upload module 704.

[0084] The data active uploading module 701 is used to continuously upload the collected vehicle status data to the cloud through the main data transmission device;

[0085] The master device awakening module 702 is used to awaken the master data transmission device in response to a data transmission request, the data transmission request being based on the fact that there is a loss of vehicle status data in the cloud and no new vehicle status data is received within a preset first interval;

[0086] The full data uploading module 703 is used to upload the collected full data as the second state data to the cloud through the main data transmission device if the main data transmission device is awakened successfully, so as to perform vehicle accident identification according to the full data through the cloud;

[0087] The limited safety data uploading module 704 is used to wake up the backup data transmission device if the main data transmission device fails to wake up, and upload the collected limited safety data as the second state data to the cloud through the backup data transmission device, so as to identify vehicle accidents based on the limited safety data through the cloud.

[0088] In one embodiment of the present application, the installation positions of the main collection device corresponding to the main data transmission device and the backup collection device corresponding to the backup data transmission device are different, and the main collection device and the backup collection device are respectively installed with independent rechargeable batteries; after the independent rechargeable battery is depleted, it is automatically charged by at least one of the power battery, the engine, and the range extender.

[0089] It should be noted that the vehicle accident remote identification device and vehicle provided in the above embodiment and the vehicle accident remote identification method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment and will not be repeated here. In actual application, the vehicle accident remote identification device and vehicle provided in the above embodiment can distribute the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0090] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by one or more processors, the electronic device implements the above-mentioned vehicle accident remote identification method.

[0091] See also Figure 8 , Figure 8 The structure diagram of the computer system suitable for implementing the electronic device of the embodiment of the present application is shown. It should be noted that: Figure 8The computer system 800 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0092] like Figure 8 As shown, the computer system 800 includes a central processing unit (CPU) 801, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 802 or the program loaded from the storage part 808 to the random access memory (RAM) 803, such as executing the method in the above embodiment. In the RAM 803, various programs and data required for system operation are also stored. The CPU 801, the ROM 802 and the RAM 803 are connected to each other through the bus 804. The input / output (I / O) interface 805 is also connected to the bus 804.

[0093] The following components are connected to the I / O interface 805: an input section 806 including a keyboard, a mouse, etc.; an output section 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 808 including a hard disk, etc.; and a communication section 809 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the I / O interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 810 as needed so that a computer program read therefrom is installed into the storage section 808 as needed.

[0094] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part 809, and / or installed from a removable medium 811. When the computer program is executed by a central processing unit (CPU) 801, various functions defined in the system of the present application are executed.

[0095] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier, which carries a computer-readable computer program. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0096] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0097] The units involved in the embodiments described in the present application can be implemented by software or by hardware, and the units described can also be set in a processor. Among them, the names of these units do not constitute a limitation on the units themselves under certain circumstances. Therefore, the technical solution according to the implementation mode of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including a number of instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation mode of the present application.

[0098] Another aspect of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor of a computer, the computer executes the above-mentioned vehicle accident remote identification method. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0099] In the above embodiments, unless otherwise specified, by using serial numbers such as "first" and "second" to describe common objects, it only means that they refer to different instances of the same object, rather than indicating that the objects being described must adopt a given order, whether in time, space, sorting or any other way.

[0100] The above embodiments are merely illustrative of the principles and effects of the present application, and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A vehicle accident remote identification method, characterized in that: The method comprises: If it is detected that there is vehicle status data loss in the cloud, the vehicle status data stored before the data loss moment is determined as the first status data; If no new vehicle status data is received within a preset first interval after the data loss moment, the accident identification result is determined as an abnormality of the vehicle, and a data transmission request is sent to the vehicle end, so that the vehicle end wakes up the target data transmission device in response to the data transmission request and uploads the second status data to the cloud; receiving the second status data uploaded by the vehicle end, performing vehicle accident identification according to the first status data, the second status data and the parameter type of the second status data, and updating the accident identification result based on the result of the vehicle accident identification; The vehicle status data is actively uploaded to the cloud by the vehicle end, the parameter type includes a full type or a limited safety type, and the second status data of different parameter types are uploaded by different target data transmission devices; Performing vehicle accident identification according to the first state data, the second state data, and a parameter type of the second state data includes: If the parameter type of the second state data is a full quantity type, determining the result of the vehicle accident identification according to the fault definition information corresponding to the fault code; If the parameter type of the second state data is a limited safety type, determining the result of the vehicle accident identification according to the target parameter information and the driving distance difference between the target positioning information and the target motion information; The second state data includes a fault code, the target positioning information and the target motion information are obtained based on the second state data and the first state data, and the target parameter information is obtained based on the second state data.

2. The vehicle accident remote identification method according to claim 1, characterized in that: The result of vehicle accident identification is determined based on the target parameter information and the driving distance difference between the target positioning information and the target motion information, including: Determine a theoretical driving distance based on first motion information and second motion information in the target motion information; Determine the positioning driving distance according to the target road information, the first positioning information and the second positioning information in the target positioning information; If the absolute value of the difference between the theoretical driving distance and the positioned driving distance is less than a preset first threshold value, and the parking sign information indicates that there is no parking behavior, the result of the vehicle accident recognition is determined as the vehicle is normal; If the absolute value of the difference between the theoretical driving distance and the positioned driving distance is greater than or equal to a preset first threshold, and the vehicle out-of-control parameter is greater than or equal to a preset second threshold, the result of the vehicle accident identification is determined as a vehicle accident, so as to generate rescue prompt information; Among them, the first motion information includes the first vehicle speed and the first acceleration corresponding to the moment of data loss, the second motion information includes the second vehicle speed when re-acquiring data, the target parameter information includes the parking sign information and the vehicle out-of-control parameters, and the re-acquiring data refers to the moment of waking up the target data transmission device and uploading the second status data to the cloud.

3. The vehicle accident remote identification method according to claim 2, characterized in that: The determination of the target parameter information includes: If it is detected that the vehicle door is opened or closed within the preset second interval, the seat belt is unfastened, and the gravity data changes, the parking sign information is determined as an intermediate stop; The vehicle out-of-control parameters include the yaw angle and / or the second acceleration when the data is reacquired.

4. The vehicle accident remote identification method according to claim 1, characterized in that: The vehicle end wakes up the target data transmission device in response to the data transmission request, and uploads the second state data to the cloud, including: The target data transmission equipment includes a primary data transmission equipment and a backup data transmission equipment; The primary data transmission device continuously uploads the collected vehicle status data to the cloud; Waking up the primary data transmission device in response to a data transmission request, the data transmission request being generated based on the presence of vehicle status data loss in the cloud and no new vehicle status data being received within a preset first interval; If the primary data transmission device is awakened successfully, the collected full data is uploaded to the cloud as the second state data through the primary data transmission device, so as to perform vehicle accident identification according to the full data through the cloud; If the primary data transmission device fails to be awakened, the backup data transmission device is awakened, and the collected limited safety data is uploaded to the cloud as the second state data through the backup data transmission device, so as to perform vehicle accident identification according to the limited safety data through the cloud.

5. A vehicle accident remote identification device, characterized in that: The device comprises: A data loss determination module, configured to determine the vehicle state data stored before the data loss moment as the first state data if it is detected that the vehicle state data is lost in the cloud; A data re-acquisition module, configured to determine the accident identification result as an abnormality of the vehicle if no new vehicle status data is received within a preset first interval after the data loss moment, and send a data transmission request to the vehicle end, so that the vehicle end wakes up the target data transmission device in response to the data transmission request, and uploads the second status data to the cloud; an accident determination module, configured to receive the second state data uploaded by the vehicle end, identify a vehicle accident according to the first state data, the second state data and a parameter type of the second state data, and update the accident identification result based on the result of the vehicle accident identification; The vehicle status data is actively uploaded to the cloud by the vehicle end, the parameter type includes a full type or a limited safety type, and the second status data of different parameter types are uploaded by different target data transmission devices; Performing vehicle accident identification according to the first state data, the second state data, and a parameter type of the second state data includes: If the parameter type of the second state data is a full quantity type, determining the result of the vehicle accident identification according to the fault definition information corresponding to the fault code; If the parameter type of the second state data is a limited safety type, determining the result of the vehicle accident identification according to the target parameter information and the driving distance difference between the target positioning information and the target motion information; The second state data includes a fault code, the target positioning information and the target motion information are obtained based on the second state data and the first state data, and the target parameter information is obtained based on the second state data.

6. A vehicle, characterized in that: The vehicle comprises: The data active upload module is used to continuously upload the collected vehicle status data to the cloud through the main data transmission device; A primary device wake-up module, configured to wake up the primary data transmission device in response to a data transmission request, wherein the data transmission request is generated based on the presence of vehicle status data loss in the cloud and no new vehicle status data is received within a preset first interval; A full data uploading module, configured to upload the collected full data as second state data to the cloud through the main data transmission device if the main data transmission device is successfully awakened, so as to perform vehicle accident identification according to the full data through the cloud; The limited safety data uploading module is used to wake up the backup data transmission device if the main data transmission device fails to wake up, and upload the collected limited safety data as the second state data to the cloud through the backup data transmission device, so as to identify vehicle accidents based on the limited safety data through the cloud.

7. The vehicle according to claim 6, characterized in that The installation positions of the main acquisition device corresponding to the main data transmission device and the backup acquisition device corresponding to the backup data transmission device are different, and the main acquisition device and the backup acquisition device are respectively installed with independent rechargeable batteries; When the independent rechargeable battery runs out of power, it is automatically charged by at least one of the power battery, the engine, and the range extender.

8. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the electronic device to implement the vehicle accident remote identification method as described in any one of claims 1 to 4.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is caused to execute the vehicle accident remote identification method according to any one of claims 1 to 4.

Images