CN114202895A - Vehicle abnormal state processing system and method based on Internet of vehicles - Google Patents

Vehicle abnormal state processing system and method based on Internet of vehicles Download PDF

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Publication number
CN114202895A
CN114202895A CN202111312596.5A CN202111312596A CN114202895A CN 114202895 A CN114202895 A CN 114202895A CN 202111312596 A CN202111312596 A CN 202111312596A CN 114202895 A CN114202895 A CN 114202895A
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China
Prior art keywords
vehicle
abnormal state
help
information
subsystem
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Pending
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CN202111312596.5A
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Chinese (zh)
Inventor
双婧雯
张坤
朱玲
许心一
黄进
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Dongfeng Motor Corp
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Dongfeng Motor Corp
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Priority to CN202111312596.5A priority Critical patent/CN114202895A/en
Publication of CN114202895A publication Critical patent/CN114202895A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

The invention discloses a vehicle abnormal state processing system based on an internet of vehicles, which comprises a sensor subsystem, a control subsystem, a man-machine mutual-aid subsystem, an internet of vehicles subsystem and an anti-tracking subsystem.

Description

Vehicle abnormal state processing system and method based on Internet of vehicles
Technical Field
The invention relates to the technical field of automobile safety, in particular to a system and a method for processing an abnormal state of a vehicle based on an internet of vehicles.
Background
With the increase of the number of vehicles, the situations of vehicle faults and safety accidents are much more and more complicated, and at present, the situations of disputes caused by the vehicle faults are more and more; in addition, aiming at vehicle accidents, the condition that the alarm cannot be given in time appears for the driver, and particularly, life and property safety is threatened on the road sections with few open people.
In recent years, with the rapid development of electronic information technology, mobile communication technology and internet of things technology, the internet of vehicles technology has also advanced sufficiently, and at the same time, the attention on the vehicle safety also promotes the application of the vehicle network technology, the abnormality detection and the alarm are very important functional modules in the vehicle networking system, the existing vehicle accident detection and alarm method of the vehicle networking generally collects the vehicle data in real time, preliminarily judging whether the current vehicle is in an abnormal condition according to the initial configuration rule, if so, uploading vehicle interior sound or image information to a server, the server secondarily judges whether a vehicle accident occurs or not for the received in-vehicle sound or image information, in the process, a large amount of data needs to be acquired and processed, and the server carries out secondary judgment on the received sound or image information in the vehicle, so that professional labor needs to participate in the process in real time, and manpower and material resources are wasted; private cars belong to a private space for vehicle users and there may be cases where privacy is violated.
Disclosure of Invention
The invention provides a vehicle abnormal state processing system based on a vehicle networking, which comprises a sensor subsystem, a control subsystem, a man-machine mutual-help subsystem, a vehicle networking subsystem and an anti-tracking subsystem, wherein vehicle state information is collected in real time through the sensor subsystem, the control subsystem carries out abnormal grade judgment and executes a two-stage abnormal alarm strategy, the anti-tracking subsystem carries out tracking judgment, abnormal information is further generated, anti-tracking early warning is carried out, so that multi-stage prevention and control on vehicle safety are realized, the vehicle abnormal help seeking rate and the safety monitoring performance are effectively improved, and the privacy of vehicle users is protected.
The technical scheme of the invention is as follows:
a vehicle abnormal state processing system based on the Internet of vehicles comprises:
a sensor subsystem that collects vehicle state data in real time;
the control subsystem is electrically connected with the sensor subsystem, receives the vehicle state data output by the sensor subsystem, judges the abnormal state grade based on a preset sensor state data threshold value, and starts the vehicle-mounted camera and/or reports help seeking information according to the abnormal state grade;
the man-machine mutual-help subsystem is electrically connected with the control subsystem and can display abnormal state information and/or send help inquiry, receive and upload a help request according to the help information reported by the control subsystem;
the vehicle networking subsystem is in communication connection with the control subsystem and can send help seeking information reported by the control subsystem to the emergency contact;
and the anti-tracking subsystem is used for acquiring images behind the vehicle in real time, identifying and tracking the license plate, generating abnormal state information and sending the abnormal state information to the control subsystem.
Preferably, the sensor subsystem comprises a collision sensor, a tilt sensor, a temperature sensor, a wading sensor and an on-board camera.
Preferably, the vehicle-mounted camera comprises an in-cabin camera and a vehicle body camera.
Preferably, the human-computer interaction subsystem comprises:
the vehicle-mounted display screen is used for displaying abnormal state information and help inquiry information and reminding driving risks;
a help key for receiving a help request;
a voice output unit for transmitting a help inquiry voice;
and the voice receiving unit is used for receiving the help-seeking request voice.
The invention also aims to provide a vehicle abnormal state processing method based on the Internet of vehicles, which judges the grade of the abnormal state by acquiring vehicle state data in real time, executes a grading help-seeking strategy according to the grade of the abnormal state, acquires images behind the vehicle, judges whether the vehicle is tracked or not by license plate recognition, and timely reminds a driver or seeks help, thereby effectively improving the safety of the vehicle.
A vehicle abnormal state processing method based on the Internet of vehicles comprises the following steps:
judging the grade of the abnormal state according to vehicle state data output by a plurality of sensors collected by a sensor subsystem and based on a preset threshold value of the state data of the plurality of sensors;
if the abnormal state grade is first grade, displaying abnormal information and driving risk on the vehicle-mounted display screen, and reminding the driving risk by voice;
if the abnormal state grade is two-grade, displaying abnormal state information, driving risk and help inquiry information on the vehicle-mounted display screen, and broadcasting the help inquiry information in a voice mode;
and if the abnormal state grade is three, acquiring an image acquired by the vehicle-mounted camera, generating help seeking information, and sending the help seeking information to the emergency contact through the vehicle networking subsystem.
Preferably, the help information includes images inside and outside the vehicle and the position of the vehicle collected by the vehicle-mounted camera.
Preferably, the judging the abnormal state level includes:
when the at least one type of vehicle state data is larger than a first threshold value of the type of sensor state data and smaller than a second threshold value of the type of sensor state data, the abnormal state grade is one grade;
when the state data of at least one type of vehicle is larger than a second threshold value of the state data of the type of sensor, the abnormal state grade is two grades;
if the abnormal state level is two-level and no help inquiry response is received within the time threshold, the abnormal state level is three-level.
Preferably, the abnormal state grade is three grades when the driver sends out the help seeking request through the help seeking key and/or the voice receiving unit.
Preferably, the emergency contact is one or more of a preset vehicle owner, an familiarity number, a 4S store, and a traffic alert platform.
Preferably, the method further comprises the following steps:
acquiring an image behind a vehicle in real time, and identifying a license plate;
if the same license plate appears at 3-5 continuous intersections, judging that the license plate is tracked and generating abnormal state information;
and displaying abnormal state information by the vehicle-mounted display screen, and broadcasting the abnormal state information and prompting the tracked risk by voice.
The invention has the beneficial effects that:
1. the invention provides a vehicle abnormal state processing system based on an internet of vehicles, which is characterized in that a sensor subsystem is used for acquiring vehicle state information in real time, a control subsystem is used for judging the abnormal level, a two-stage abnormal help seeking strategy is executed, a tracking judgment is carried out by a tracking prevention subsystem, then abnormal information is generated, tracking prevention and early warning are carried out, so that the multi-stage prevention and control on the vehicle safety are realized, the vehicle abnormal rescue rate and the safety monitoring performance are effectively improved, and the privacy of vehicle users is protected.
2. The invention provides a vehicle abnormal state processing method based on an internet of vehicles, which is characterized in that vehicle state data are obtained in real time, abnormal state grade judgment is carried out, a graded help seeking strategy is executed according to the grade of the abnormal state, images behind the vehicle are obtained, whether the images are tracked or not is judged through license plate recognition, a driver is reminded in time or help seeking is carried out, and the safety of the vehicle is effectively improved.
Drawings
FIG. 1 is a block diagram of a system for handling abnormal vehicle status based on Internet of vehicles according to an embodiment of the present invention.
Fig. 2 is a flowchart of a vehicle abnormal state processing method based on the internet of vehicles according to an embodiment of the invention.
Fig. 3 is a flowchart of a vehicle abnormal state processing method based on the internet of vehicles according to yet another embodiment of the invention.
Fig. 4 is a flowchart of a vehicle abnormal state processing method based on the internet of vehicles according to still another embodiment of the invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "in" and the like refer to directions or positional relationships based on the directions or positional relationships illustrated in the drawings, which are for convenience of description only, and do not indicate or imply that a device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; may be a mechanical connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in FIG. 1, a vehicle networking based abnormal state processing system comprises a sensor subsystem 110, a control subsystem 120, a vehicle networking subsystem 130, a man-machine interaction subsystem 140 and an anti-tracking subsystem 150.
The sensor subsystem 100 collects vehicle status data in real time, the control subsystem 120 is electrically connected to the sensor subsystem 110, receives the vehicle status data output by the sensor subsystem 110, determines an abnormal status level based on a preset sensor status data threshold, the vehicle-mounted camera is started and/or help seeking information is reported according to the abnormal state grade, the man-machine mutual-help subsystem 140 is electrically connected with the control subsystem 130 and can display the abnormal state information and/or send help seeking inquiry, receive and upload a help seeking request according to the help seeking information reported by the control subsystem 120, the vehicle networking subsystem 130 is in communication connection with the control subsystem and can send the help seeking information reported by the control subsystem to an emergency contact person, the anti-tracking subsystem 150 collects images at the rear of the vehicle in real time and conducts license plate identification and tracking judgment to generate abnormal state information and send the abnormal state information to the control subsystem.
Specifically, sensor subsystem 110 includes impact sensor 111, tilt sensor 112, temperature sensor 113, wading sensor 114, and vehicle-mounted camera 115. In practical applications, it is also possible to include vehicle-mounted radar, ultrasonic sensor, etc. for detecting car collision, rollover, and wading, without limitation.
Specifically, the in-vehicle camera 115 includes an in-cabin camera and a body camera.
Specifically, the human-computer mutual-aid subsystem 140 includes an on-vehicle display screen 141, a help key 142, a voice output unit 143, and a voice receiving unit 144.
The vehicle-mounted display screen 141 is used for displaying abnormal state information and help inquiry information and reminding driving risks, the help key 142 is used for receiving a help request, the voice output unit 143 is used for sending help inquiry voice, and the voice receiving unit 144 is used for receiving the help request voice. In practical applications, the help key 142 may be a mechanical key, an on-screen soft key, and the like, and the voice output unit 143 and the voice receiving unit may be a voice interaction device such as a microphone, and are not limited herein.
In order to realize the function of the system for processing the abnormal state of the vehicle, the invention provides a method for processing the abnormal state of the vehicle based on the internet of vehicles on the basis of the system, as shown in fig. 2, the method comprises the following steps:
s110, judging abnormal state grades according to vehicle state data output by a plurality of sensors collected by a sensor subsystem and based on preset state data thresholds of the plurality of sensors;
s120, if the abnormal state grade is first grade, displaying abnormal information and driving risks on the vehicle-mounted display screen, and reminding the driving risks through voice;
s130, if the abnormal state grade is in a second grade, displaying abnormal state information, driving risks and help seeking inquiry information on the vehicle-mounted display screen, and broadcasting the help seeking inquiry information in a voice mode;
and S130, if the abnormal state grade is three grades, acquiring an image acquired by the vehicle-mounted camera, generating help seeking information, and sending the help seeking information to the emergency contact through the vehicle networking subsystem.
Specifically, the help seeking information comprises an in-vehicle image, an out-vehicle image and a vehicle position which are collected by a vehicle-mounted camera.
Further, the judging the abnormal state level includes:
when the at least one type of vehicle state data is larger than a first threshold value of the type of sensor state data and smaller than a second threshold value of the type of sensor state data, the abnormal state grade is one grade;
when the state data of at least one type of vehicle is larger than a second threshold value of the state data of the type of sensor, the abnormal state grade is two grades;
if the abnormal state level is two-level and no help inquiry response is received within the time threshold, the abnormal state level is three-level.
The first threshold and the second threshold of the various sensor state data mentioned in this embodiment are values obtained according to various test tests of the vehicle, wherein the first threshold is a risk threshold, and when data acquired by the vehicle-mounted sensor exceeds the first threshold, the vehicle has a risk of an accident; the second threshold is an accident threshold, and when the data collected by the vehicle sensor exceeds the second threshold, the vehicle has an accident.
In addition, when the driver makes a help request through the help button and/or the voice receiving unit, the abnormal state level is three levels.
Specifically, the emergency contact is one or more of a preset vehicle owner, a family number, a 4S store and a traffic alarm platform.
In addition, in order to realize the vehicle anti-tracking function based on the internet of vehicles, on the basis of the method, an anti-tracking method is additionally arranged, and the method specifically comprises the following steps:
acquiring an image behind a vehicle in real time, and identifying a license plate;
if the same license plate appears at 3-5 continuous intersections, judging that the license plate is tracked and generating abnormal state information;
and displaying abnormal state information by the vehicle-mounted display screen, and broadcasting the abnormal state information and prompting the tracked risk by voice.
In one embodiment, the method for processing the abnormal state of the vehicle based on the internet of vehicles, as shown in fig. 3, includes:
s110, the vehicle-mounted sensors acquire vehicle state data in real time and transmit the vehicle state data to the control subsystem, the control subsystem compares the received vehicle state data with set data thresholds of various sensors to judge whether the vehicle is in an abnormal state, if the vehicle state data detected by the sensors is smaller than a set first threshold, the vehicle state is judged to be normal, the step S110 is executed again, if the vehicle state data detected by at least one of the sensors is larger than a set first threshold and smaller than a second threshold, the step S120 is skipped, and if the vehicle state data detected by at least one of the sensors is larger than a set second threshold, the step S130 is skipped.
And S120, the control subsystem judges that the vehicle state is in a primary abnormal state and carries out driving risk reminding through the vehicle-mounted display screen and the voice interaction system.
S130, the control subsystem judges that the vehicle state is in a secondary abnormal state, reminds and inquires whether a driver needs to send help seeking information to an emergency contact person or not on the vehicle-mounted display screen, meanwhile, the driver can select whether the help seeking information is sent or not through the touch display screen or reply through voice, and the situation that the driver is not free to operate the display screen in an emergency is avoided. If the driver confirms that the help-seeking information needs to be sent to the emergency contact person, or the feedback of the driver is not received within 30S, the control subsystem judges that the vehicle state is in the three-stage abnormal state, and the step S140 is skipped. If the driver selects that the vehicle state is not required to be sent to the emergency contact, the control subsystem judges that the vehicle state is normal, the driver can process the abnormal state of the vehicle, and the driver does not send a help seeking instruction and skips back to the step S110.
In this embodiment, the driver may handle the abnormal state of the vehicle, where although the vehicle-mounted tilt angle sensor exceeds the threshold at a certain time, the driver avoids the vehicle from rolling over through a driving technique.
S140, the control subsystem judges that the driver needs to send help seeking information, controls the control subsystem to turn on the vehicle-mounted camera to record real-time conditions inside and outside the vehicle, and sends the help seeking information (including images inside and outside the vehicle and GPS positioning) to the emergency contact through the Internet of vehicles system.
In practical application, even if the vehicle state data acquired by all the sensors are smaller than the set threshold value, the driver perceives that the vehicle state is abnormal or the state of the driver is abnormal, the driver selects to send help-seeking information by controlling the vehicle-mounted display screen or the voice interaction system, the step S140 is skipped, the control subsystem receives the instruction of sending the help-seeking information, then the vehicle-mounted camera is controlled to record images inside and outside the vehicle, and the help-seeking information is sent to the emergency contact through the internet of vehicles.
In the embodiment, the driver perceives the abnormal condition of the vehicle state, including the vehicle brake failure or the vehicle-mounted sensor abnormality, but the vehicle has the accidents of collision, rollover or wading and the like; the abnormal state of the driver comprises sudden diseases, situations that the driver finds to be tracked or clamped and the like.
In one embodiment, the method for processing the abnormal state of the vehicle based on the internet of vehicles, as shown in fig. 4, includes:
s210, monitoring and recording license plate numbers of vehicles running behind the vehicles in real time by a vehicle tail camera, and identifying the license plate numbers;
s220, if the same license plate number does not appear behind the vehicles at the 3 continuous intersections, the vehicle state is normal, and the license plate number recorded at the first intersection is deleted;
and S230, if the same license plate number appears behind the vehicles at the continuous 3 intersections, reminding the tracked risk on a vehicle-mounted display screen, and reminding the driver of the tracked risk by voice.
The technical scheme provided by the embodiment of the invention at least has the following technical effects or advantages:
the invention provides a vehicle abnormal state processing system based on an internet of vehicles, which is characterized in that a sensor subsystem is used for acquiring vehicle state information in real time, a control subsystem is used for judging the abnormal level, a two-stage abnormal help seeking strategy is executed, a tracking judgment is carried out by a tracking prevention subsystem, then abnormal information is generated, tracking prevention and early warning are carried out, so that the multi-stage prevention and control on the vehicle safety are realized, the vehicle abnormal rescue rate and the safety monitoring performance are effectively improved, and the privacy of vehicle users is protected. The invention provides a vehicle abnormal state processing method based on an internet of vehicles, which is characterized in that vehicle state data are obtained in real time, abnormal state grade judgment is carried out, a graded help seeking strategy is executed according to the grade of the abnormal state, images behind the vehicle are obtained, whether the images are tracked or not is judged through license plate recognition, a driver is reminded in time or help seeking is carried out, and the safety of the vehicle is effectively improved.
The above descriptions are only examples of the present invention, and common general knowledge of known specific structures, characteristics, and the like in the schemes is not described herein too much, and it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Without departing from the invention, several changes and modifications can be made, which should also be regarded as the protection scope of the invention, and these will not affect the effect of the invention and the practicality of the patent.

Claims (10)

1. A vehicle abnormal state processing system based on the Internet of vehicles is characterized by comprising:
a sensor subsystem that collects vehicle state data in real time;
the control subsystem is electrically connected with the sensor subsystem, receives the vehicle state data output by the sensor subsystem, judges the abnormal state grade based on a preset sensor state data threshold value, and starts a vehicle-mounted camera and/or reports help seeking information according to the abnormal state grade;
the man-machine mutual-help subsystem is electrically connected with the control subsystem and can display abnormal state information and/or send help inquiry, receive and upload a help request according to the help information reported by the control subsystem;
the vehicle networking subsystem is in communication connection with the control subsystem and can send the help seeking information reported by the control subsystem to an emergency contact;
and the anti-tracking subsystem is used for acquiring images behind the vehicle in real time, identifying and tracking the license plate, generating abnormal state information and sending the abnormal state information to the control subsystem.
2. The internet-of-vehicles based vehicle exception status handling system of claim 1, wherein the sensor subsystem comprises a crash sensor, a tilt sensor, a temperature sensor, a wading sensor, and an onboard camera.
3. The internet-of-vehicles based vehicle exception status handling system of claim 2, wherein said onboard camera comprises an in-cabin camera and a body camera.
4. The internet-of-vehicles based vehicle exception status handling system of claim 3, wherein said human-machine interaction subsystem comprises:
the vehicle-mounted display screen is used for displaying abnormal state information and help inquiry information and reminding driving risks;
a help key for receiving a help request;
a voice output unit for transmitting a help inquiry voice;
and the voice receiving unit is used for receiving the help-seeking request voice.
5. A vehicle abnormal state processing method based on the Internet of vehicles is characterized by comprising the following steps:
judging the grade of the abnormal state according to vehicle state data output by a plurality of sensors collected by a sensor subsystem and based on a preset threshold value of the state data of the plurality of sensors;
if the abnormal state grade is first grade, displaying abnormal information and driving risk on a vehicle-mounted display screen, and reminding the driving risk by voice;
if the abnormal state grade is two-level, displaying abnormal state information, driving risks and help-seeking inquiry information on the vehicle-mounted display screen, and broadcasting the help-seeking inquiry information in a voice mode;
and if the abnormal state grade is three grades, acquiring an image acquired by the vehicle-mounted camera, generating help seeking information, and sending the help seeking information to the emergency contact through the vehicle networking subsystem.
6. The vehicle networking-based abnormal vehicle state processing method according to claim 5, wherein the help information comprises in-vehicle and out-vehicle images and vehicle positions acquired by a vehicle-mounted camera.
7. The vehicle networking based abnormal state processing method of vehicles as claimed in claim 6, wherein said judging the abnormal state level comprises:
when at least one type of the vehicle state data is larger than a first threshold value of the type of the sensor state data and smaller than a second threshold value of the type of the sensor state data, the abnormal state grade is one grade;
when the state data of at least one type of the vehicles is larger than a second threshold value of the state data of the type of the sensors, the abnormal state grade is two grades;
and if the abnormal state grade is two grades and no help inquiry response is received within the time threshold, the abnormal state grade is three grades.
8. The internet-of-vehicles-based vehicle abnormal state processing method as claimed in claim 7, further comprising ranking the abnormal state in three levels when a driver issues a help request through a help key and/or a voice receiving unit.
9. The method for handling the abnormal state of the vehicle based on the internet of vehicles as claimed in claim 8, wherein the emergency contact is one or more of a preset owner, an intimacy number, a 4S store, and a traffic alarm platform.
10. The method for processing the abnormal state of the vehicle based on the internet of vehicles as claimed in claim 9, further comprising:
acquiring an image behind a vehicle in real time, and identifying a license plate;
if the same license plate appears at 3-5 continuous intersections, judging that the license plate is tracked and generating abnormal state information;
and displaying abnormal state information by the vehicle-mounted display screen, and broadcasting the abnormal state information and prompting the tracked risk by voice.
CN202111312596.5A 2021-11-08 2021-11-08 Vehicle abnormal state processing system and method based on Internet of vehicles Pending CN114202895A (en)

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