CN113428169A

CN113428169A - Vehicle monitoring method and device and electronic equipment

Info

Publication number: CN113428169A
Application number: CN202110695851.2A
Authority: CN
Inventors: 许俊海; 李敏; 刘智睿; 刘安然; 古睿希; 韦景文; 龙文; 罗鸿; 罗晟楠
Original assignee: GAC Aion New Energy Automobile Co Ltd
Current assignee: GAC Aion New Energy Automobile Co Ltd
Priority date: 2021-06-22
Filing date: 2021-06-22
Publication date: 2021-09-24
Anticipated expiration: 2041-06-22
Also published as: CN113428169B

Abstract

The application provides a vehicle monitoring method, a vehicle monitoring device and electronic equipment, wherein the vehicle monitoring method comprises the following steps: receiving reported information of a vehicle; if the received report information comprises trigger information, judging whether the vehicle is abnormal or not according to the associated information corresponding to the trigger information in the report information; and if the vehicle is abnormal, sending an abnormal alarm signal. In the method and the device, whether the vehicle is abnormal or not is judged through the trigger information contained in the received report information and the associated information corresponding to the trigger information, if the vehicle is abnormal, an abnormal alarm signal is sent, the vehicle state can be monitored in real time, active early warning is carried out on the problems of the vehicle, and the expansion of the vehicle problems is avoided.

Description

Vehicle monitoring method and device and electronic equipment

Technical Field

The invention relates to the technical field of vehicles, in particular to a vehicle monitoring method and device and electronic equipment.

Background

The vehicle is an important vehicle in daily life and is widely applied to the daily life of people.

At present, if the vehicle is abnormal, the vehicle owner needs to find the vehicle and actively contact the vehicle for after-sale processing, and the requirement on professional literacy of the vehicle owner is high. If the owner of the vehicle does not draw sufficient attention or does not arrive in the store in time for processing, the problem with the vehicle may be magnified, creating an uncontrolled risk.

Disclosure of Invention

An object of the embodiments of the present application is to provide a vehicle monitoring method and apparatus, and an electronic device, so as to solve the problem in the prior art that vehicle abnormality needs to be actively discovered by a vehicle owner, the requirement for professional literacy of the vehicle owner is too high, and the problem of uncontrollable risk is easily caused by expansion of vehicle problems.

The embodiment of the application provides a vehicle monitoring method, which comprises the following steps: receiving reported information of a vehicle; if the received report information comprises trigger information, judging whether the vehicle is abnormal or not according to the associated information corresponding to the trigger information in the report information; and if the vehicle is abnormal, sending an abnormal alarm signal.

In the implementation manner, whether the vehicle is abnormal or not is judged through the trigger information included in the received report information and the associated information corresponding to the trigger information, and if the vehicle is abnormal, an abnormal alarm signal is sent. Therefore, the real-time monitoring of the vehicle state can be realized, the active early warning is carried out on the problems of the vehicle, and the expansion of the vehicle problems is avoided.

Further, the trigger information is first information that characterizes that an automatic Braking system (AEB) is turned on, and the associated information corresponding to the trigger information in the reported information includes: vehicle speed, vehicle braking parameters; judging whether the vehicle is abnormal according to the associated information corresponding to the trigger information in the reported information, wherein the judging step comprises the following steps: determining the braking distance of the vehicle after the AEB is started according to the vehicle speed and the vehicle braking parameters; obtaining an actual distance between the vehicle and a front obstacle; judging whether the deviation between the actual distance and the braking distance is within a preset deviation range or not; if yes, determining that the vehicle is not abnormal; otherwise, determining that the vehicle is abnormal.

In the implementation manner, when the trigger information is first information representing that the AEB is started, the braking distance after the AEB is started is calculated, the actual distance between the vehicle and the front obstacle is obtained, and whether the deviation between the actual distance and the braking distance is within a preset deviation range is judged, so that whether the vehicle is abnormal is judged. If the deviation of actual distance and braking distance is less than and predetermines the deviation scope, then the vehicle may collide with the place ahead barrier, if the deviation of actual distance and braking distance is greater than and predetermines the deviation scope, then the vehicle may be in the place braking far away from the place ahead barrier, is unfavorable for owner's experience. Therefore, when the deviation between the actual distance and the braking distance is not within the preset deviation range, an abnormal alarm signal is sent, so that accidents can be avoided, and the experience of a vehicle owner can be improved.

Further, the trigger information is second information that represents that an automatic Lane Change (ILC) function or a high-speed Hands-Free (hand Free, HF) function requests manual takeover, and the associated information corresponding to the trigger information in the reported information includes: driver operation information; judging whether the vehicle is abnormal according to the associated information corresponding to the trigger information in the reported information, wherein the judging step comprises the following steps: judging whether the driver takes over the vehicle or not according to the driver operation information; if the driver manages the vehicle within a preset time after receiving the second information, determining that the vehicle is not abnormal, otherwise, determining that the vehicle is abnormal.

In the implementation manner, when the trigger information is second information representing that the ILC or the HF requests manual takeover, the method determines whether the vehicle is abnormal by judging whether the driver takes over the vehicle within a preset time after receiving the second information. If the ILC or HF requests manual takeover, and the vehicle owner does not take over the vehicle within a preset time after receiving the second message, an accident may occur, and the vehicle owner needs to be reminded to take over the vehicle. Therefore, within the preset time after the second message is received, if the vehicle owner does not take over the vehicle, an abnormal alarm signal is sent, the vehicle owner can be reminded to take over the vehicle, and accidents are avoided.

Further, the triggering information is second information representing that the ILC requests manual take-over, and the driver operation information comprises a brake pedal parameter, an accelerator pedal parameter and a steering wheel torque parameter; judging whether the driver takes over the vehicle or not according to the driver operation information, comprising the following steps: and judging whether the driver takes over the vehicle or not according to the deviation of the brake pedal parameter, the accelerator pedal parameter and the steering wheel torque parameter from a preset threshold value.

In the implementation manner, when the trigger information is second information representing that the ILC requests manual takeover, whether the driver takes over the vehicle is judged according to the deviation between the brake pedal parameter, the accelerator pedal parameter, the steering wheel torque parameter and the preset threshold. When the trigger information is second information representing that the ILC requests manual takeover, whether the driver takes over the vehicle or not can be judged quickly and accurately according to the brake pedal parameter, the accelerator pedal parameter and the steering wheel torque parameter, namely the driver takes over the vehicle to change the lane.

Further, the trigger information is second information representing that the HF requests manual takeover, and the Driver operation information includes a Driver Detection System (DMS) state change parameter and a Hands-Off Detection (HOD) state change parameter; judging whether the driver takes over the vehicle or not according to the driver operation information, comprising the following steps: and judging whether the driver takes over the vehicle or not according to the DMS state change parameter and the HOD state change parameter.

In the implementation manner, when the trigger information is second information representing that the HF requests manual takeover, the application judges whether the driver takes over the vehicle according to the DMS state change parameter and the HOD state change parameter. When the HF requests manual takeover, whether the driver is switched from a high-speed hands-off state to a manual takeover state can be judged quickly and accurately according to the DMS state change parameter and the HOD state change parameter.

Further, the association information corresponding to the second information includes: information representing abnormity of an Adaptive Cruise Control (ACC) and information representing abnormity of a Traffic Jam Assistant (TJA); the method further comprises the following steps: if the reported information contains the information representing the abnormal ACC, determining that the generation reason of the second information is the abnormal ACC; and if the reported information contains the information representing the TJA abnormity, determining that the generation reason of the second information is the TJA abnormity.

In the implementation manner, the reason generated by the second information is determined by reporting whether the information has ACC abnormality information or TJA abnormality information, which is beneficial for the vehicle to quickly determine the abnormality reason, so that the abnormality can be quickly handled.

Further, the reported information includes third information representing that the acceleration exceeds a preset acceleration threshold or the airbag is exploded, and the associated information corresponding to the third information in the reported information includes: AEB open state information and AEB trigger state information; the method further comprises the following steps: judging whether the AEB of the vehicle is in an open state or not according to the AEB open state information; if the AEB is in a closed state, sending an abnormal alarm signal; if the AEB is in the open state, judging whether the AEB of the vehicle is triggered according to the AEB triggering state information; if the AEB is triggered, judging whether the AEB is abnormally triggered; if the AEB is abnormally triggered, the reported information and the associated information are sent to a preset false triggering scene library; if the AEB is not triggered, judging whether the AEB is abnormal and not triggered; and if the AEB exception is not triggered, sending the reported information and the associated information to a preset missed triggering scene library.

In the implementation mode, when the reported information comprises third information representing that the acceleration exceeds a preset acceleration threshold or the airbag is exploded, different processing modes are executed through AEB starting state information and AEB triggering state information. When the acceleration exceeds the preset acceleration threshold or the safety airbag is exploded, the abnormal reason can be analyzed and determined, and the abnormality can be timely processed, so that the safety of the vehicle in the running stage can be further early warned, and the accident probability can be further reduced.

Further, the reported information includes fourth information representing that radar is blind or a camera is shielded, and the associated information corresponding to the fourth information in the reported information includes: representing early warning information whether a preset correlation function is abnormal or not and representing shielding information whether a shielding event exists or not; the method further comprises the following steps: judging whether the preset correlation function triggers abnormal early warning or not according to the early warning information; if the abnormal early warning is not triggered, determining whether the shielding event exists according to the shielding information; and if the shielding event exists, determining that the preset associated function is abnormal.

In the implementation manner, when the reported information includes fourth information representing that the radar is blind or the camera is shielded, whether the preset correlation function triggers an abnormal early warning is judged according to the early warning information indicating whether the preset correlation function is abnormal. And if the abnormal early warning is not triggered, determining whether an occlusion event exists according to the occlusion information. Therefore, the reason that the radar of the vehicle is blind or the camera is shielded can be quickly obtained, and the fault of the vehicle can be eliminated.

The embodiment of the present application further provides a vehicle monitoring device, including: the receiving module is used for receiving the reported information of the vehicle; the judging module is used for judging whether the vehicle is abnormal or not according to the associated information corresponding to the triggering information in the reporting information if the received reporting information comprises the triggering information; and the alarm module is used for sending an abnormal alarm signal if the vehicle is abnormal.

An embodiment of the present application further provides an electronic device, including: a processor, a memory, and a communication bus; the communication bus is used for realizing connection communication between the processor and the memory; the processor is configured to execute one or more programs stored in the memory to implement any of the vehicle monitoring methods described above.

Embodiments of the present application also provide a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement any of the above-described vehicle monitoring methods.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

Fig. 1 is a schematic flowchart of a vehicle monitoring method according to an embodiment of the present disclosure;

FIG. 2 is a schematic flow chart illustrating the determination of whether the AEB is abnormal according to the embodiment of the present application;

fig. 3 is a schematic flowchart of determining whether the ILC and the HF are overtime and not taken over according to the embodiment of the present application;

FIG. 4 is a schematic flow chart illustrating an analysis of an AEB after receiving third information according to an embodiment of the present application;

fig. 5 is a schematic flowchart of a vehicle monitoring method when a fourth message is received according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a vehicle monitoring device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

The first embodiment is as follows:

in order to solve the problems that in the prior art, vehicle abnormity needs to be actively discovered by an owner, the requirement on professional literacy of the owner is too high, the problem of the vehicle is easily expanded, and uncontrollable risks are caused, the embodiment of the application provides a vehicle monitoring method. A vehicle monitoring method provided in an embodiment of the present application is described below with reference to a flowchart of the vehicle monitoring method shown in fig. 1.

Referring to fig. 1, a vehicle monitoring method provided in an embodiment of the present application includes:

s101, receiving the reported information of the vehicle.

Optionally, the reported information of the vehicle may be information transmitted by each Electronic Control Unit (ECU) on the communication bus. After the communication connection is established with the vehicle, each ECU on the vehicle can continuously report various information of the vehicle.

S102, if the received report information comprises trigger information, judging whether the vehicle is abnormal or not according to the associated information corresponding to the trigger information in the report information.

In the embodiment of the present application, different triggering conditions may be preset, and the different triggering conditions may be triggered by different information (referred to as triggering information herein), and after the triggering conditions are triggered, it is indicated that it is necessary to determine whether the vehicle is abnormal.

In the embodiment of the application, different triggering conditions can correspond to different abnormalities of the vehicle which need to be judged. Different triggering conditions can correspond to different associated information, so that the method is used for judging whether the vehicle has the vehicle abnormity corresponding to the triggering conditions.

For example, the trigger information may be first information indicating that the AEB is already opened, and the corresponding trigger condition may be that the first information indicating that the AEB is already opened is received, and whether an AEB exception exists is determined correspondingly. At this time, the associated information corresponding to the trigger information in the report information includes: vehicle speed, vehicle braking parameters.

At this time, referring to fig. 2, step S102 may include: s21, determining the braking distance of the vehicle after the AEB is started according to the vehicle speed and the vehicle braking parameters; s22, acquiring the actual distance between the vehicle and the front obstacle; s23, judging whether the deviation between the actual distance and the braking distance is within a preset deviation range; if yes, go to step S24; otherwise, go to step S25; s24, determining that the vehicle is not abnormal; and S25, determining that the vehicle is abnormal.

Optionally, the vehicle braking parameters may include: time difference t from when AEB triggering condition is satisfied to when triggering is actually executed₀The maximum deceleration a and the jerk j of the vehicle, wherein the jerk of the vehicle is the change rate of the acceleration of the vehicle. Therefore, step S11 determines the braking distance of the vehicle after the AEB is started, and the specific process may be: calculating acceleration change time

Calculating vehicle speed at steady acceleration

According to the speed v of the vehicle when the AEB triggering condition is satisfied₀Whether it is more than 40km/h, a time t for reducing the speed to 0 or a specific speed gamma at the maximum deceleration is obtained₂＝

Thereby calculating the braking distance of the vehicle after the AEB is started

It should be noted that the value of γ is a set value in China New Car Assessment Program (C-NCAP) standard. The C-NCAP aims at evaluating the safety performance of vehicles in China market, providing systematic and objective vehicle safety reference information for consumers and promoting automobile enterprises to develop and produce according to higher safety standards, thereby effectively reducing the damage and loss of road traffic accidents.

Alternatively, the preset deviation range in step S14 may be 90% to 110% of the braking distance S, that is, the actual distance between the vehicle and the obstacle ahead is in the range of 90% to 110% of the braking distance S. If the actual distance is smaller than the preset deviation range of the braking distance, the fact that the actual distance of the vehicle from the front obstacle is too close is indicated, and the vehicle may collide with the front obstacle after braking. If the actual distance and the braking distance are larger than the preset deviation range of the braking distance, the vehicle may start braking at a place far away from the front obstacle, so that the experience of the vehicle owner is poor. Therefore, if the deviation between the actual distance and the braking distance is not within the preset deviation range, the vehicle can be determined to be abnormal, and abnormal alarm information is sent out. In addition, different abnormal alarm information can be sent out according to the two different situations, so that a user or a back-end engineer can distinguish the abnormal situations conveniently.

The front obstacle in the embodiment of the present application may be an object that may cause an obstacle to the travel of the vehicle, such as a front vehicle, a person in front of the vehicle, or a building in front of the vehicle.

For example, the trigger information may also be second information representing that the ILC or the HF requests manual takeover, and the association information corresponding to the trigger information in the report information includes: driver operation information.

At this time, as can be seen from fig. 3, step S102 may include: s31, judging whether the driver manages the vehicle within a preset time length after receiving the second information according to the operation information of the driver; if yes, go to step S32; otherwise, go to step S33; s32, determining that the vehicle is not abnormal; and S33, determining that the vehicle is abnormal.

It should be noted that the preset time period can be set by an engineer according to actual vehicle conditions or according to a large amount of experimental data.

In the above example, when the triggering information is the second information that the ILC requests manual take-over, the driver operation information may include a brake pedal parameter, an accelerator pedal parameter, a steering wheel torque parameter.

At this time, step S31 may be to determine whether the driver takes over the vehicle according to the deviation of the brake pedal parameter, the accelerator pedal parameter, and the steering wheel torque parameter from the preset threshold. For example, deviation calculation is performed on the acquired brake pedal parameter, accelerator pedal parameter, and steering wheel torque parameter with respective preset thresholds, whether the deviation corresponding to each parameter is within the allowable deviation range corresponding to each parameter is determined, and if the deviation corresponding to any one or more parameters is not within the allowable deviation range, it is determined that the driver has not taken over the vehicle.

It should be further noted that, when the trigger information is the second information that the ILC requests manual takeover, the associated information corresponding to the trigger information in the report information may further include: vehicle speed, lateral acceleration, longitudinal acceleration.

In the above example, whether the brake pedal parameter and the accelerator pedal parameter are correct can be determined according to whether the change of the vehicle speed, the lateral acceleration and the longitudinal acceleration within the preset time is matched with the change of the brake pedal parameter and the accelerator pedal parameter, so that whether the driver takes over the vehicle can be accurately determined. For example, if one or more changes in the vehicle speed, the lateral acceleration and the longitudinal acceleration within the preset time are not matched with the brake pedal parameter, the brake pedal parameter is determined to be unreliable, and the next time the vehicle reports information, the information is determined to be unreliable. And if one or more changes of the speed, the transverse acceleration and the longitudinal acceleration of the vehicle in the preset time are not matched with the parameters of the accelerator pedal, determining that the parameters of the accelerator pedal are not credible, and waiting for the next time of reporting information by the vehicle.

At the moment, the scene that the ILC requests manual taking over is a vehicle lane changing scene, and whether the driver takes over the vehicle or not can be judged quickly and accurately according to the brake pedal parameter, the accelerator pedal parameter and the steering wheel torque parameter so as to change the lane.

In the above example, the trigger information may be the driver operation information including the DMS state change parameter and the HOD state change parameter when the HF requests the second information of manual takeover. Step S31 may be a step of determining whether the driver takes over the vehicle based on the DMS state change parameter and the HOD state change parameter. For example, the driver is determined to take over the vehicle according to the DMS state change parameter indicating that the driver's attention is on the vehicle and the HOD state change parameter indicating that the driver holds the steering wheel.

At the moment, the scene that the HF requests manual takeover is in a high-speed hands-off state, and whether the driver takes over the vehicle or not can be judged quickly and accurately according to the DMS state change parameter and the HOD state change parameter.

It should be further noted that, in the above example, the DMS state change parameter includes information indicating fatigue driving or distraction of the driver, and the associated information corresponding to the second information may further include information indicating that the Vehicle door or the seat belt is opened in a non-stationary state, and information indicating that a Vehicle Control Unit (VCU) is not in place. At this time, when any of the above information is included in the report information, it may be determined that the reason why the HF requests the manual takeover is the generation reason of the corresponding information, that is, the reason why the HF requests the manual takeover may be fatigue driving or distraction of the driver, or the vehicle opens the door or the seat belt in a non-stationary state, or the VCU is not in place, or the like. Therefore, the reason for the HF request to take over manually can be quickly determined, and the vehicle abnormity can be eliminated.

It should be further noted that, when the trigger information is the second information, the associated information corresponding to the second information may further include: information representing ACC anomaly and information representing TJA anomaly.

At this time, the vehicle monitoring method may further include: if the reported information contains information representing the abnormal ACC, determining that the generation reason of the second information is the abnormal ACC; and if the reported information contains information representing the TJA abnormity, determining that the generation reason of the second information is the TJA abnormity.

It should be noted that, when there are multiple kinds of associated information that may cause the generation of the second information in the reported information, all of the multiple kinds of associated information may be used as the generation cause of the second information.

In the embodiment of the application, after the generation reason of the second information is determined, the second information, the associated information of the second information and the generation reason of the second information can be sent to a preset engineer, so that the preset engineer can conveniently and quickly determine the abnormal reason, and the abnormality can be quickly processed.

For example, the reported information may further include third information indicating that the acceleration exceeds a preset acceleration threshold or the airbag is exploded, and the associated information corresponding to the third information in the reported information may include: AEB open state information, AEB trigger state information. It should be noted that if the AEB is in the on state, but if the AEB does not receive the trigger signal, the AEB is in the off state, only the AEB is in the on state, and if the AEB triggers, the AEB is in the on state.

When the third information is included in the reported information, referring to fig. 4, the vehicle monitoring method further includes: s41, judging whether the AEB of the vehicle is in an open state or not according to the AEB open state information; s42, if the AEB is in a closed state, sending an abnormal alarm signal; s43, if the AEB is in the open state, judging whether the AEB of the vehicle is triggered according to the AEB triggering state information; s44, if the AEB is triggered, judging whether the AEB is triggered abnormally; if the AEB is abnormally triggered, the reported information and the associated information are sent to a preset false triggering scene library; s45, if the AEB is not triggered, judging whether the AEB is abnormal or not; and if the AEB exception is not triggered, sending the report information and the associated information to a preset missed triggering scene library. The false triggering scene library stores the reporting information and the associated information determined as the false triggering AEB, and the missed triggering scene library stores the reporting information and the associated information determined as the missed triggering AEB, so that technicians can analyze and control the scene subsequently. The false triggering scene library and the missed triggering scene library can be realized through a database.

It should be noted that, when the report information includes the third information, it indicates that the vehicle is in a dangerous state. At this time: if the AEB is in a closed state, an abnormal alarm signal is sent to remind an automobile owner to open the AEB function, so that the safety of the automobile is improved; if the AEB is in an open state and is triggered, the vehicle initial judgment result is that the AEB requests emergency braking, if the AEB is determined to be abnormally triggered by combining the AEB abnormal judgment method, the reported information and the associated information are sent to a preset false triggering scene library, and preset technicians can be informed to actively contact the driver to know the situation and provide technical support; if the AEB is in the open state and is not triggered, the driver is preliminarily judged to actively request emergency braking, and if the AEB is determined to be not triggered according to the AEB abnormity judgment method, the reported information and the associated information are sent to a preset missed triggering scene library so that technicians can analyze and control the scene library. Therefore, the safety of the vehicle in the running stage can be further pre-warned, and the accident probability can be further reduced.

For example, the reported information may also include fourth information representing that the radar is blind or the camera is blocked, and the associated information corresponding to the fourth information in the reported information may include: the early warning information representing whether the preset correlation function is abnormal or not and the shielding information representing whether a shielding event exists or not. When the reported information includes the fourth information, referring to fig. 5, the vehicle monitoring method further includes: s51, judging whether the preset correlation function triggers abnormity early warning or not according to the early warning information; s52, if the abnormal early warning is not triggered, determining whether a shielding event exists according to shielding information; and S53, if the occlusion event exists, determining that the preset correlation function is abnormal.

It should be further noted that, in this embodiment of the application, when the reported information includes information representing radar blindness, the preset association function may include: at least one of ACC function, TJA function, AEB function, and the like. When the reported information includes information that the camera is blocked, the preset association function may include: at least one of an AEB function, a TJA function, a Lane Departure Warning (LDW), a Lane Keeping Assist system (LKA), and the like. It should be understood that the preset correlation functions illustrated above are only a few available correlation functions provided in the present application, and in an actual application process, other completely different functions may also be used as the preset correlation functions of radar blindness information or camera-shielding information, and the actual function configuration of the vehicle shall be taken as a reference, which is not limited in the embodiment of the present application.

It should be further noted that, when the reported information includes the fourth information, if the abnormal early warning is not triggered and there is no shielding information, the fourth information and the associated information corresponding to the fourth information may be sent to a preset engineer, so that the preset engineer may troubleshoot the problem occurring in the vehicle. And if the abnormal alarm is triggered, sending the geographic position of the vehicle and the weather information of the geographic position to a preset knowledge base, and actively reminding a driver when the vehicle meets the same or similar conditions next time.

And S103, if the vehicle is abnormal, sending an abnormal alarm signal.

If the vehicle is abnormal, an abnormal alarm signal can be sent to the vehicle to remind the vehicle owner to open the corresponding function or troubleshoot the vehicle problem so as to eliminate the vehicle fault.

It should be noted that, in the embodiment of the present application, the abnormal condition of the vehicle may be classified into different classes, and different abnormal classes of the vehicle correspond to different processing methods. For example, an abnormal situation of the vehicle may be classified into a high risk level, a medium risk level, and a low risk level.

For example, the processing method of the high risk level may be to send the trigger information, the association information, and/or the abnormality cause in the report information to a preset engineer, and send an abnormality alarm signal to the vehicle. The risk level processing method may be to send the trigger information, the association information, and/or the abnormal cause in the report information to a preset engineer. The low risk level processing method can be used for carrying out early warning and recording in the back end and carrying out continuous tracking on abnormal conditions.

In the embodiment of the present application, a level upgrade mechanism may also exist for the exception level. Optionally, the abnormal events with the medium risk level may be set to occur 3 times in a single day or 10 times in a single month, and the abnormal events with the high risk level are upgraded. A low risk level of an abnormal event occurring 5 times a day or 15 times a month will escalate to a medium risk level of an abnormal event. It should be understood that the above is only an exemplary level upgrading mechanism provided for the embodiments of the present application, and does not represent that only the above level upgrading mechanism may be employed in the embodiments of the present application, and in fact, the present application does not limit the level upgrading mechanism of the abnormal level.

In the embodiment of the present application, the high risk level abnormal event may include: 1. triggering AEB; 2. ACC exit including either: vehicle Dynamic Control (VDC) activation, anti-lock Brake System (ABS) activation, Traction Control System (TCS) activation, Brake disc overheating, Brake force insufficiency, driver side door open, seat belt open; 3. including a TJA exit caused by either: ACC high risk level anomaly, vehicle lateral function request take-over; 4. the ILC request to take over includes either: ACC high risk grade anomaly, TJA high risk grade anomaly; 5. HF request takeover including either: ACC high risk grade abnormity, TJA high risk grade abnormity, DMS display of severe fatigue or distraction of a driver, opening of a door or a safety belt in a non-static state of the vehicle, and non-positioning of a VCU.

The exception events of a risk class may include: 1. ACC exit including either: a brake pedal is stepped on, an Electronic Stability Program (ESP) of a vehicle body is closed, a TCS is closed, and a slope slips; 2. including a TJA exit caused by either: the risk grade in the ACC is abnormal, a risk alarm lamp is turned on, the yaw angle rate is too high, and the gradient of the accelerator opening is greater than a preset accelerator opening threshold; 3. the ILC request to take over includes either: risk grade abnormality in ACC, risk grade abnormality in TJA, lane line identification loss and vehicle state exceeding a controllable threshold; 4. HF request takeover including either: AEB fault, AEB pedestrian detection fault, tire pressure detection alarm, camera blindness, DMS display driver moderate fatigue or distraction.

The low risk level of an abnormal event may be other abnormal situations.

However, the above setting of the abnormal situations of the high risk level, the medium risk level and the low risk level is only an alternative example provided by the embodiment of the present application, and is not a limitation to the embodiment of the present application.

Through the classification of the abnormal conditions of the vehicle, the different abnormal conditions of the vehicle correspond to different processing modes, the abnormal conditions of the vehicle can be processed more effectively, and the expansion of the vehicle problems is avoided. The abnormal grade upgrading mechanism can further avoid the expansion of vehicle problems and cause uncontrollable risks.

It should be noted that the vehicle described in the embodiment of the present application may be a vehicle with an automatic driving function, and may also be another vehicle, which is not limited in the embodiment of the present application.

In summary, an embodiment of the present application provides a vehicle monitoring method, where if a received report message includes trigger information, whether a vehicle is abnormal is determined according to associated information corresponding to the trigger information in the report message, and if the vehicle is abnormal, an abnormal alarm signal is sent. Therefore, the real-time monitoring of the vehicle state can be realized, the active early warning is carried out on the problems of the vehicle, and the expansion of the vehicle problems is avoided.

Example two:

based on the same inventive concept, the embodiment of the present application further provides a vehicle monitoring apparatus 600, please refer to fig. 6. It should be understood that the specific functions of the apparatus 600 can be referred to the above description, and the detailed description is omitted here as appropriate to avoid redundancy. The apparatus 600 includes at least one software functional module that can be stored in a memory in the form of software or firmware or solidified in an operating system of the apparatus 600. Specifically, the method comprises the following steps:

referring to fig. 6, the apparatus 600 comprises: a receiving module 601, a judging module 602 and an alarm module 603. Wherein:

a receiving module 601, configured to receive report information of a vehicle;

a determining module 602, configured to determine whether the vehicle is abnormal according to associated information corresponding to the trigger information in the report information if the received report information includes the trigger information;

and an alarm module 603, configured to send an abnormal alarm signal if the vehicle is abnormal.

In a feasible implementation manner of the embodiment of the present application, the trigger information is first information that characterizes that the AEB is already started, and the reporting of the associated information corresponding to the trigger information in the information includes: vehicle speed, vehicle braking parameters; the determining module 602 is further configured to determine a braking distance of the vehicle after the AEB is started according to the vehicle speed and the vehicle braking parameter; obtaining the actual distance between the vehicle and the front obstacle; judging whether the deviation between the actual distance and the braking distance is within a preset deviation range or not; if yes, determining that the vehicle is not abnormal; otherwise, the vehicle is determined to be abnormal.

In a feasible implementation manner of the embodiment of the present application, the trigger information is second information representing that the ILC or the HF requests manual takeover, and the reporting of the associated information corresponding to the trigger information includes: driver operation information; the judging module 602 is further configured to judge whether the driver takes over the vehicle according to the driver operation information; if the driver manages the vehicle within the preset time after receiving the second information, determining that the vehicle is not abnormal, otherwise, determining that the vehicle is abnormal.

In the above possible embodiment, the triggering information is second information indicating that the ILC requests manual takeover, and the driver operation information includes a brake pedal parameter, an accelerator pedal parameter, and a steering wheel torque parameter; the determining module 602 is further configured to determine whether the driver takes over the vehicle according to a deviation between a brake pedal parameter, an accelerator pedal parameter, a steering wheel torque parameter, and a preset threshold.

In the above possible implementation, the trigger information is second information representing that the HF requests manual takeover, and the driver operation information includes a DMS state change parameter and an HOD state change parameter; the determining module 602 is further configured to determine whether the driver takes over the vehicle according to the DMS state change parameter and the HOD state change parameter.

In the above feasible embodiment, the associated information corresponding to the second information includes information representing ACC anomaly and information representing TJA anomaly; the apparatus 600 further includes a processing module 604, configured to determine that the generation reason of the second information is that the ACC is abnormal if the reported information includes information that characterizes the ACC abnormality; and if the reported information contains information representing the TJA abnormity, determining that the generation reason of the second information is the TJA abnormity.

In a feasible implementation manner of the embodiment of the present application, the reported information includes third information indicating that the acceleration exceeds a preset acceleration threshold or the airbag is exploded, and the associated information corresponding to the third information in the reported information includes: AEB open state information and AEB trigger state information; the processing module 604 is further configured to determine whether the AEB of the vehicle is in an open state according to the AEB open state information; if the AEB is in a closed state, sending an abnormal alarm signal; if the AEB is in the open state, judging whether the AEB of the vehicle is triggered according to the AEB triggering state information; if the AEB is triggered, judging whether the AEB is abnormally triggered; if the AEB is abnormally triggered, the reported information and the associated information are sent to a preset false triggering scene library; if the AEB is not triggered, judging whether the AEB is abnormal and not triggered; and if the AEB exception is not triggered, sending the report information and the associated information to a preset missed triggering scene library.

In a feasible implementation manner of the embodiment of the present application, the reported information includes fourth information representing that radar is blind or a camera is blocked, and the associated information corresponding to the fourth information in the reported information includes: representing early warning information whether a preset correlation function is abnormal or not and representing shielding information whether a shielding event exists or not; the processing module 604 is further configured to determine whether the preset correlation function triggers an abnormal early warning according to the early warning information; if the abnormal early warning is not triggered, determining whether an occlusion event exists according to occlusion information; and if the shielding event exists, determining that the preset correlation function is abnormal.

It should be understood that, for the sake of brevity, the contents described in some embodiments are not repeated in this embodiment.

Example four:

an electronic device is provided in the embodiment of the present application, and is shown in fig. 7, and includes a processor 701, a memory 702, and a communication bus 703. Wherein:

the communication bus 703 is used for connecting communication between the processor 701 and the memory 702.

The processor 701 is configured to execute one or more programs stored in the memory 702 to implement the vehicle monitoring method provided in the first embodiment.

It will be appreciated that the configuration shown in fig. 7 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 7 or have a different configuration than shown in fig. 7.

It is to be understood that the electronic device described in the embodiment of the present application may be a host, a server, or the like having a function of communicating with a vehicle and a data processing function, but is not limited thereto.

In addition, in the embodiment of the present application, a cluster formed by a plurality of electronic devices may be used as a whole to implement the vehicle monitoring method provided in the first embodiment.

The present application further provides a readable storage medium, such as a floppy disk, an optical disk, a hard disk, a flash Memory, a usb (universal Digital Memory Card), an MMC (Multimedia Card), etc., where one or more programs implementing the foregoing steps are stored in the readable storage medium, and the one or more programs may be executed by one or more processors to implement the steps executed by the vehicle monitoring method in the first embodiment. And will not be described in detail herein.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.

In this context, a plurality means two or more.

The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A vehicle monitoring method, comprising:

receiving reported information of a vehicle;

if the received report information comprises trigger information, judging whether the vehicle is abnormal or not according to the associated information corresponding to the trigger information in the report information;

and if the vehicle is abnormal, sending an abnormal alarm signal.

2. The vehicle monitoring method according to claim 1, wherein the triggering information is first information indicating that an automatic braking system AEB is turned on, and the associated information corresponding to the triggering information in the reported information includes: vehicle speed, vehicle braking parameters;

judging whether the vehicle is abnormal according to the associated information corresponding to the trigger information in the reported information, wherein the judging step comprises the following steps:

determining the braking distance of the vehicle after the AEB is started according to the vehicle speed and the vehicle braking parameters;

obtaining an actual distance between the vehicle and a front obstacle;

judging whether the deviation between the actual distance and the braking distance is within a preset deviation range or not;

if yes, determining that the vehicle is not abnormal;

otherwise, determining that the vehicle is abnormal.

3. The vehicle monitoring method according to claim 1, wherein the triggering information is second information indicating that an automatic lane change assistant function ILC or a high-speed handoff function HF requests manual takeover, and the associated information corresponding to the triggering information in the reported information includes: driver operation information;

judging whether the driver takes over the vehicle or not according to the driver operation information;

if the driver manages the vehicle within a preset time after receiving the second information, determining that the vehicle is not abnormal, otherwise, determining that the vehicle is abnormal.

4. A vehicle monitoring method as claimed in claim 3, wherein the triggering information is second information indicative of an ILC request for manual take-over, the driver operation information comprising a brake pedal parameter, an accelerator pedal parameter, a steering wheel torque parameter;

judging whether the driver takes over the vehicle or not according to the driver operation information, comprising the following steps:

and judging whether the driver takes over the vehicle or not according to the deviation of the brake pedal parameter, the accelerator pedal parameter and the steering wheel torque parameter from a preset threshold value.

5. The vehicle monitoring method according to claim 3, wherein the triggering information is second information characterizing that the HF requests manual takeover, and the driver operation information includes a driver detection system DMS state change parameter, an off-hand detection HOD state change parameter;

and judging whether the driver takes over the vehicle or not according to the DMS state change parameter and the HOD state change parameter.

6. The vehicle monitoring method according to any one of claims 3 to 5, wherein the associated information corresponding to the second information includes: the method comprises the steps of representing information of an adaptive cruise system (ACC) anomaly and representing information of a traffic jam auxiliary system (TJA) anomaly; the method further comprises the following steps:

if the reported information contains the information representing the abnormal ACC, determining that the generation reason of the second information is the abnormal ACC;

and if the reported information contains the information representing the TJA abnormity, determining that the generation reason of the second information is the TJA abnormity.

7. The vehicle monitoring method according to claim 1, wherein the reported information includes third information indicating that the acceleration exceeds a preset acceleration threshold or that an airbag is exploded, and the associated information corresponding to the third information in the reported information includes: AEB open state information and AEB trigger state information; the method further comprises the following steps:

judging whether the AEB of the vehicle is in an open state or not according to the AEB open state information;

if the AEB is in a closed state, sending an abnormal alarm signal;

if the AEB is in the open state, judging whether the AEB of the vehicle is triggered according to the AEB triggering state information;

if the AEB is triggered, judging whether the AEB is abnormally triggered; if the AEB is abnormally triggered, the reported information and the associated information are sent to a preset false triggering scene library;

if the AEB is not triggered, judging whether the AEB is abnormal and not triggered; and if the AEB exception is not triggered, sending the reported information and the associated information to a preset missed triggering scene library.

8. The vehicle monitoring method according to claim 1, wherein the reported information includes fourth information representing radar blindness or camera shielding, and the associated information corresponding to the fourth information in the reported information includes: representing early warning information whether a preset correlation function is abnormal or not and representing shielding information whether a shielding event exists or not; the method further comprises the following steps:

judging whether the preset correlation function triggers abnormal early warning or not according to the early warning information;

if the abnormal early warning is not triggered, determining whether the shielding event exists according to the shielding information;

and if the shielding event exists, determining that the preset associated function is abnormal.

9. A vehicle monitoring apparatus, comprising:

the receiving module is used for receiving the reported information of the vehicle;

the judging module is used for judging whether the vehicle is abnormal or not according to the associated information corresponding to the triggering information in the reporting information if the received reporting information comprises the triggering information;

and the alarm module is used for sending an abnormal alarm signal if the vehicle is abnormal.

10. An electronic device, comprising: a processor, a memory, and a communication bus; the communication bus is used for realizing connection communication between the processor and the memory; the processor is configured to execute one or more programs stored in the memory to implement the vehicle monitoring method of any one of claims 1 to 8.