CN112235712B - Vehicle driving early warning method, system, device and equipment - Google Patents

Vehicle driving early warning method, system, device and equipment Download PDF

Info

Publication number
CN112235712B
CN112235712B CN202010914959.1A CN202010914959A CN112235712B CN 112235712 B CN112235712 B CN 112235712B CN 202010914959 A CN202010914959 A CN 202010914959A CN 112235712 B CN112235712 B CN 112235712B
Authority
CN
China
Prior art keywords
information
prevention
control point
current vehicle
electronic fence
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010914959.1A
Other languages
Chinese (zh)
Other versions
CN112235712A (en
Inventor
高敦斌
黄冠明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Geely Holding Group Co Ltd
Zhejiang Geely Automobile Research Institute Co Ltd
Original Assignee
Zhejiang Geely Holding Group Co Ltd
Zhejiang Geely Automobile Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Geely Holding Group Co Ltd, Zhejiang Geely Automobile Research Institute Co Ltd filed Critical Zhejiang Geely Holding Group Co Ltd
Priority to CN202010914959.1A priority Critical patent/CN112235712B/en
Publication of CN112235712A publication Critical patent/CN112235712A/en
Application granted granted Critical
Publication of CN112235712B publication Critical patent/CN112235712B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/021Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • 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
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters
    • H04W4/026Services making use of location information using location based information parameters using orientation information, e.g. compass
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters
    • H04W4/027Services making use of location information using location based information parameters using movement velocity, acceleration information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • 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]
    • H04W4/44Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)

Abstract

The application discloses a vehicle driving early warning method, a system, a device and equipment, and acquires control point information through a server; the server side generates an electronic fence area according to the prevention and control point information, wherein the electronic fence area at least comprises one prevention and control point; the client acquires the position information, the course angle information and the real-time speed information of the current vehicle and sends the information to the server; the server side judges whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle; if yes, the server side sends an intrusion early warning prompt instruction to the client side; and the client performs driving early warning on the user according to the intrusion early warning prompt instruction, so that driving early warning on vehicles which will enter a dangerous area can be realized.

Description

Vehicle driving early warning method, system, device and equipment
Technical Field
The application relates to the field of Internet of vehicles safety, in particular to a vehicle driving early warning method, system, device and equipment.
Background
At present, the vehicle driving route management in some dangerous areas is not available, for example, disasters such as epidemic, earthquake, snow disaster and the like occur, and great threats are formed on vehicles and passengers driving into the dangerous areas. For a disaster place, a broadcast mode is generally adopted to spread messages, for example, a mobile phone short message, app news or television news is broadcast, but a driver driving a vehicle often cannot accurately capture a disaster message and cannot timely know whether a driving route passes through the disaster place. In addition, even if the driver acquires the relevant information, the driver cannot timely and sensitively deal with the dangerous situation, and dangerous events such as serious traffic accidents are easily caused.
Disclosure of Invention
In order to solve the technical problems, the invention provides a vehicle driving early warning method, a system, a device and equipment, which can realize the driving early warning of a vehicle which is going into a dangerous area.
In order to achieve the purpose of the application, the application provides a vehicle driving early warning method, which comprises the following steps:
the server side obtains the information of the prevention and control points;
the server side generates an electronic fence area according to the prevention and control point information, wherein the electronic fence area at least comprises one prevention and control point;
the client acquires the position information, the course angle information and the real-time speed information of the current vehicle and sends the information to the server;
the server side judges whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle;
if yes, the server side sends an intrusion early warning prompt instruction to the client side;
and the client performs driving early warning on the user according to the intrusion early warning prompt instruction.
On the other hand, this application still provides a vehicle early warning system that traveles, and this system includes:
the system comprises a server and a client;
the server is used for acquiring prevention and control point information; generating an electronic fence area according to the control point information, wherein the electronic fence area comprises at least one control point; judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle; sending an intrusion early warning prompt to the client;
the client is used for acquiring the position information, the course angle information and the real-time speed information of the current vehicle; and receiving an intrusion early warning prompt.
On the other hand, this application still provides a vehicle early warning device that traveles, and the device includes:
the first information acquisition module is used for acquiring prevention and control point information;
the electronic fence generating module is used for generating an electronic fence area according to the control point information, and the electronic fence area comprises at least one control point;
the second information acquisition module is used for acquiring the position information, the course angle information and the real-time speed information of the current vehicle;
the route analysis module is used for judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle;
and the early warning sending module is used for sending an intrusion early warning prompting instruction to the client when the current vehicle passes through the electronic fence area so that the client can carry out driving early warning on the user according to the intrusion early warning prompting instruction.
On the other hand, this application still provides a vehicle early warning device that traveles, and this equipment includes:
the vehicle driving early warning system comprises a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to realize the vehicle driving early warning method.
In addition, the present application also provides a storage medium, in which at least one instruction or at least one program is stored, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the method of any one of the above.
The application has the following beneficial effects:
the method comprises the steps that prevention and control point information is obtained through a server side; the server side generates an electronic fence area according to the prevention and control point information, wherein the electronic fence area at least comprises one prevention and control point; the client acquires the position information, the course angle information and the real-time speed information of the current vehicle and sends the information to the server; the server side judges whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle; if yes, the server side sends an intrusion early warning prompt instruction to the client side; and the client performs driving early warning on the user according to the intrusion early warning prompt instruction, so that driving early warning on vehicles which will enter a dangerous area can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of a vehicle driving warning method according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a vehicle driving warning method according to another embodiment of the present disclosure;
fig. 3 is a schematic flowchart illustrating a vehicle driving warning method using a server as an execution subject according to an embodiment of the present application;
fig. 4 is a schematic flowchart of a vehicle driving warning method according to another embodiment of the present disclosure;
fig. 5 is a schematic flowchart of a vehicle driving warning method according to another embodiment of the present disclosure;
fig. 6 is a schematic flowchart of a vehicle driving warning method according to another embodiment of the present disclosure;
fig. 7 is a schematic flowchart of a vehicle driving warning method according to another embodiment of the present disclosure;
fig. 8 is a schematic flowchart illustrating a method for determining whether a current vehicle passes through an electric fence area according to an embodiment of the present disclosure;
fig. 9 is a schematic flowchart of a vehicle driving warning method according to another embodiment of the present disclosure;
fig. 10 is a schematic flowchart of a vehicle driving warning method according to another embodiment of the present application;
fig. 11 is a schematic structural diagram of a vehicle driving warning device according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In order to implement the technical solution of the present application, so that more engineering workers can easily understand and apply the present application, the working principle of the present application will be further described with reference to specific embodiments.
The application relates to the field of car networking safety, and can be applied to vehicle driving danger prevention and control of disasters such as epidemic situations, earthquakes, snow disasters and the like. In an application scene of an epidemic situation, a certain place is detected out a virus carrier, and the place can be used as a prevention and control point, but due to the spreading property of the epidemic situation, areas around the prevention and control point are dangerous areas. In application scenes of natural disasters such as earthquakes and snow disasters, natural disasters occur at a certain place or are predicted by some technical means, the place is used as a prevention and control point, for example, when a certain place road collapses, the place is the prevention and control point, and in order to improve safety, the area around the place is set as a dangerous area.
First, an embodiment of a vehicle driving warning method according to the present application is described, and as shown in fig. 1, the method may include:
s101: and the server side acquires the information of the prevention and control points.
Specifically, the control point information may include a control point position, a control point danger level, and the like. The prevention and control point refers to a specific position point where danger occurs or is predicted to occur within a certain time.
S103: and the server side generates an electronic fence area according to the prevention and control point information.
Specifically, the electric fence area at least comprises one prevention and control point. The electronic fence area is an area which contains the prevention and control points and has an area larger than the prevention and control points, and the size and the shape of the electronic fence area can be influenced by application scenes and the prevention and control points differently.
S105: the client collects the position information, the course angle information and the real-time speed information of the current vehicle and sends the information to the server.
Specifically, the client may be a mobile terminal or a vehicle-mounted computer, or vehicle driving assistance software bound to the mobile terminal or the vehicle-mounted computer, and the client may be bound to a vehicle and a user. The vehicle sends the real-time information of the current vehicle to the server, and the real-time information can comprise the position information, the course angle information and the real-time speed information of the current vehicle.
S107: and the server judges whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle.
Specifically, the server can determine whether the current vehicle passes through the electronic fence area at the current moment by determining whether the current vehicle is located in the electronic fence area. The server can predict whether the current vehicle passes through the electronic fence area within a certain time according to the position information, the course angle information and the real-time speed information of the current vehicle.
S109: and if the current vehicle passes through the electronic fence area, the server side sends an intrusion early warning prompt instruction to the client side.
Specifically, if the server side judges that the current vehicle passes through the electronic fence area at the current moment or predicts that the current vehicle passes through the electronic fence area within a certain time, an intrusion early warning prompt instruction is sent to the client side.
S111: and the client performs driving early warning on the user according to the intrusion early warning prompt instruction.
Specifically, the intrusion early warning instruction may include a prompt for evacuation of the current vehicle when the current vehicle passes through the electronic fence area, and a prompt for imminent intrusion of the current vehicle into the electronic fence area when the current vehicle is about to pass through the electronic fence area.
In the embodiment, the server generates an electronic fence area according to the information of the control points, and the client acquires the position information, the course angle information and the real-time speed information of the vehicle and sends the information to the server; the server side judges whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle, when the current vehicle passes through the electronic fence area, the server side sends an intrusion early warning prompting instruction to the client side, and the client carries out driving early warning on the user according to the intrusion early warning prompting instruction, so that vehicle driving early warning can be carried out on dangerous areas such as epidemic situations, earthquakes, snow disasters and floods or areas about to be dangerous.
In another embodiment, after the server obtains the information of the prevention and control point, as shown in fig. 2, the method may further include:
s1021: and the server side sends the information of the prevention and control point to the client side.
S1023: the client sets the electronic fence area according to the information of the prevention and control points, and the set content can comprise the name, the center position, the radius of the fence and the like of the electronic fence.
Specifically, the setting of the electronic fence area by the client according to the information of the prevention and control point may be the setting of the name, the center position and the fence radius of the electronic fence by the user according to the information of the prevention and control point.
S1025: and the client sends the electronic fence area to the server.
In this embodiment, the electronic fence area can be generated at the client, and the client sends the electronic fence area to the server again, so that the pressure on the server is relieved.
The following describes an embodiment of a vehicle driving warning method according to the present application with a server as an execution subject, and as shown in fig. 3, the method may include:
s201: and acquiring prevention and control point information.
Specifically, the control point information may include a control point position, a control point danger level, and the like. The control point is a place where dangers such as epidemic situation, earthquake, snow disaster, flood and the like occur or will occur, the danger level of the control point comprises a plurality of levels, different characteristics of the control point correspond to different danger levels of the control point, and for example, when the control point is an epidemic situation point, the characteristics of the epidemic situation point can comprise the cure rate of the epidemic disease, the confirmed case number of the epidemic situation in the place, the suspected case number of the epidemic situation and the like. For example, when the prevention and control point is a flood point, the characteristics of the prevention and control point may include precipitation, water level, altitude, and the like.
S203: and generating an electronic fence area according to the prevention and control point information.
In particular, the electric fence area may include at least one prevention point or a plurality of prevention points.
In some embodiments, the guard point information includes a guard point position and a guard point risk level of a guard point, and as shown in fig. 4, generating the electric fence area according to the guard point information may include:
s2031: and determining the target radius of the electronic fence according to the danger level of the prevention and control point.
S2033: and generating an electronic fence area by taking the prevention and control point position as a circle center and the target radius as a radius.
In further embodiments, the guard point information may include guard point positions and guard point danger levels of a plurality of guard points, and as shown in fig. 5, generating the electric fence area according to the guard point information may include:
s301: and determining the density of the plurality of prevention and control points according to the prevention and control point positions of the plurality of prevention and control points.
S303: and judging whether the density degrees of the plurality of prevention and control points meet a preset density degree condition or not.
S305: and when the density of the plurality of prevention and control points meets a preset density condition, generating an electronic fence area based on the danger levels of the prevention and control points of the plurality of prevention and control points.
Specifically, as shown in fig. 6, when the density of the plurality of defense points satisfies the preset density condition, the generating an electronic fence area based on the danger levels of the defense points of the plurality of defense points may include:
s3011: and determining the danger levels of the plurality of prevention and control points according to the time point of the occurrence of the event, and determining the prevention and control point with the highest danger level as the center of a circle.
Specifically, for example, in an application scenario of an epidemic situation, the first control point of the multiple control points that generates an epidemic situation may be determined as the control point with the highest risk level according to the time point of the occurrence of the epidemic situation, and therefore, with the first control point that generates an epidemic situation as the center of a circle, the risk level of the first control point is determined according to the severity of the specific event of the first control point, the time point of the occurrence of the event, and the like.
S3013: and determining the prevention and control point which is farthest from the first target point from the plurality of prevention and control points as a second target point, and taking the length which is farther from the first target point and the second target point as a target radius.
S3015: and generating the electronic fence area by the determined circle center and the target radius.
In this embodiment, since the epidemic situation may be radially spread outward, the distance between the first target point and the second target point is a target radius, and the length of the distance between the first target point and the second target point is a center of a circle, so that the generation of the electronic fence area is more suitable for the spreading condition of the epidemic situation.
In another embodiment, as shown in fig. 7, the control point characteristics may include a control point position, a precipitation amount of the control point, a water level and an altitude of the control point, and the like, and when the density of the plurality of control points satisfies a preset density condition, generating an electronic fence area based on the risk level of the control points of the plurality of control points may include:
s3031: and determining the danger levels of the plurality of prevention and control points according to the altitudes of the plurality of prevention and control points, and determining the point with the highest danger level in the plurality of prevention and control points as the circle center.
Specifically, for example, in an application scenario of a flood disaster, the lower the altitude is, the more pressure is applied to drainage, so that the lower the altitude is, the higher the danger level is, and the prevention and control point with the highest danger level among the multiple prevention and control points is determined as a circle center, that is, the prevention and control point with the lowest altitude is determined as a circle center.
S3033: and determining a point farthest from the circle center among the plurality of prevention and control points as a third target point, and taking the distance between the third target point and the circle center as a target radius.
S3035: and generating the electronic fence area by the determined circle center and the target radius.
In the embodiment, based on the characteristics of the water flow, the downstream prevention and control point is used as a circle center, and the distance between the third target point and the circle center is used as a target radius to generate an electronic fence area, so that the early warning of vehicle running is facilitated.
S205: and acquiring the position information, the course angle information and the real-time speed information of the current vehicle, which are acquired by the client.
S207: and judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle.
Specifically, as shown in fig. 8, the determining whether the current vehicle passes through the electric fence area according to the position information, the heading angle information, and the real-time speed information of the current vehicle may include:
s2071: and inputting the position information, the course angle information and the real-time speed information of the current vehicle into a prediction model, and predicting the running track of the current vehicle by using the prediction model to obtain the target running track.
Specifically, the building of the prediction model may include training a deep learning network with a large amount of training data. The training data is position information, course angle information and real-time speed information of vehicle running which are collected in advance. The coordinate axis of the position information in the prediction model training may be a coordinate axis having the vehicle origin as the origin. When the trained prediction model is used for predicting the running track of the current vehicle, the coordinates in the prediction model are subjected to actual longitude and latitude position conversion, and the display on a map is facilitated.
S2073: and judging whether the target driving track and the electronic fence area generate intersection.
Specifically, whether the intersection of the target driving track and the electronic fence area occurs or not can be judged by judging whether a point in the target driving track coincides with a point coordinate of the electronic fence area or not, and when the point coincides with the point coordinate of the electronic fence area, the intersection of the target driving track and the electronic fence area is determined.
S2075: and if the intersection is generated, determining that the current vehicle passes through the electronic fence area.
S2077: and if the intersection is not generated, determining that the current vehicle does not pass through the electronic fence area.
S209: if yes, sending an intrusion early warning prompting instruction to the client, so that the client carries out driving early warning on the user according to the intrusion early warning prompting instruction.
In the embodiment, the server generates an electronic fence area according to the information of the control points, the client acquires the position information, the course angle information and the real-time speed information of the current vehicle, the server judges whether the current vehicle passes through the electronic fence area or not according to the position information, the steering angle information and the real-time speed information of the current vehicle, when the current vehicle passes through the electronic fence area, an intrusion early warning prompt instruction is sent to the client, and the client carries out driving early warning on a user according to the intrusion early warning prompt instruction, so that the condition that the user intrudes into a dangerous area can be reduced, and the driving safety is guaranteed.
In further embodiments, as shown in fig. 9, the method may further include:
s201: and acquiring information of the prevention and control points.
Specifically, the control point information may include a control point position, a control point danger level, and the like. The prevention and control point refers to a specific position point where danger occurs or is predicted to occur within a certain time.
S203: and generating an electronic fence area according to the prevention and control point information.
Specifically, the electronic fence area includes at least one point of defense. The electronic fence area is an area which contains the prevention and control points and is larger than the prevention and control points, and the size and the shape of the electronic area are influenced by an application scene and the prevention and control points.
S205: and acquiring the position information, the course angle information and the real-time speed information of the current vehicle, which are acquired by the client, and sending the information to the server.
Specifically, the client may be a mobile terminal or a vehicle-mounted computer, or vehicle driving assistance software bound to the mobile terminal or the vehicle-mounted computer, and the client may be bound to a vehicle and a user. The vehicle sends the real-time information of the current vehicle to the server, and the real-time information can comprise the position information, the course angle information and the real-time speed information of the current vehicle.
S207: and judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle.
Specifically, the server can determine whether the current vehicle passes through the electronic fence area at the current moment by determining whether the current vehicle is located in the electronic fence area. The server can predict whether the current vehicle passes through the electronic fence area within a certain time according to the position information, the course angle information and the real-time speed information of the current vehicle.
S209: and if the current vehicle passes through the electronic fence area, sending an intrusion early warning prompt instruction to the client so that the client carries out driving early warning on the user according to the intrusion early warning prompt instruction.
Specifically, if the server determines that the current vehicle passes through the electronic fence area at the current moment or predicts that the current vehicle passes through the electronic fence area within a certain time, an intrusion early warning prompt instruction is sent to the client. The intrusion early warning prompt instruction can comprise an evacuation prompt for the current vehicle when the current vehicle passes through the electronic fence area, and a prompt for the current vehicle to intrude into the electronic fence area when the current vehicle is about to pass through the electronic fence area.
S401: and judging whether the current vehicle is located in the electronic fence area or not according to the position information of the current vehicle and the electronic fence area.
S403: and if so, acquiring the vehicle information and the user information of the current vehicle, which are acquired by the client.
Specifically, the vehicle information and the user information may be bound, and the vehicle information and the user information of the current vehicle may be stored in the client in advance. The user information may include driver information and passenger information, and in some special vehicle application scenarios, the vehicle information and the user information may be determined by established order information of the vehicle and the passenger, for example, the vehicle a is driven by the driver B, the driver B takes an order of the user C, the vehicle information is vehicle information such as a vehicle type, a model, a license plate and the like of the vehicle a, and the user information is information such as identity information, a blood type, a disease history and the like of the driver B and the user C.
S405: and recording the vehicle information and the user information of the current vehicle.
In this embodiment, when the server determines that the current vehicle is located in the electronic fence area according to the position information of the current vehicle and the electronic fence area, the server may obtain and record vehicle information and user information of the current vehicle, and when a danger occurs, the server may timely rescue or monitor the user according to the recorded vehicle information and user information. For example, when a vehicle enters an electronic fence area of an epidemic situation, vehicle information and user information of the vehicle are recorded so as to track the user and determine whether the user is infected. The user information may include the user's name, age, blood type, disease history, etc. when a danger occurs, for a prompt rescue.
In further embodiments, as shown in fig. 10, the method may further include:
s201: and acquiring prevention and control point information.
Specifically, the control point information may include a control point position, a control point danger level, and the like. The prevention and control point refers to a specific position point where danger occurs or is predicted to occur within a certain time.
S203: and generating an electronic fence area according to the prevention and control point information.
Specifically, the electric fence area at least comprises one prevention and control point. The electronic fence area is an area which contains the prevention and control points and has an area larger than the prevention and control points, and the size and the shape of the electronic area are influenced by an application scene and the prevention and control points.
S205: and acquiring the position information, the course angle information and the real-time speed information of the current vehicle, which are acquired by the client, and sending the information to the server.
Specifically, the client may be a mobile terminal or a vehicle-mounted computer, or vehicle driving assistance software bound to the mobile terminal or the vehicle-mounted computer, and the client may be bound to a vehicle and a user. The vehicle sends the real-time information of the current vehicle to the server, and the real-time information can comprise the position information, the course angle information and the real-time speed information of the current vehicle.
S207: and judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle.
Specifically, the server can determine whether the current vehicle passes through the electronic fence area at the current moment by determining whether the current vehicle is located in the electronic fence area. The server can predict whether the current vehicle passes through the electronic fence area within a certain time according to the position information, the course angle information and the real-time speed information of the current vehicle.
S209: and if the current vehicle passes through the electronic fence area, sending an intrusion early warning prompt instruction to the client so that the client carries out driving early warning on the user according to the intrusion early warning prompt instruction.
Specifically, if the server determines that the current vehicle passes through the electronic fence area at the current moment or predicts that the current vehicle passes through the electronic fence area within a certain time, an intrusion early warning prompt instruction is sent to the client. The intrusion early warning prompt instruction can comprise an evacuation prompt for the current vehicle when the current vehicle passes through the electronic fence area, and a prompt for the current vehicle to intrude into the electronic fence area when the current vehicle is about to pass through the electronic fence area.
S501: and acquiring high-precision map information.
S503: and carrying out position marking on the electronic fence area and the current vehicle in the high-precision map information based on the position information of the electronic fence area and the current vehicle to obtain a second high-precision map.
S505: and sending the second high-precision map to the client so that the client displays the second high-precision map.
In this embodiment, the server can send the second high-precision map labeled with the electronic fence area and the current vehicle position to the client, and the client displays the second high-precision map, so that the vehicle driving early warning visualization is realized, and the user experience is improved.
On the other hand, this application still provides a vehicle early warning system that traveles. The system comprises a server and a client. The server side is used for acquiring information of the prevention and control points; generating an electronic fence area according to the control point information, wherein the electronic fence area comprises at least one control point; judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle; and sending an intrusion early warning prompt to the client. The client is used for acquiring the position information, the course angle information and the real-time speed information of the current vehicle; and receiving an intrusion early warning prompt.
On the other hand, the present application further provides a vehicle driving warning device 600, as shown in fig. 11, the device 600 may include:
the first information obtaining module 601 is configured to obtain information about a prevention and control point.
The electronic fence generating module 603 is configured to generate an electronic fence area according to the control point information, where the electronic fence area includes at least one control point.
And a second information obtaining module 605, configured to obtain position information, heading angle information, and real-time speed information of the current vehicle.
And the route analysis module 607 is configured to determine whether the current vehicle passes through the electric fence area according to the position information, the heading angle information, and the real-time speed information of the current vehicle.
The early warning sending module 609 is configured to send an intrusion early warning prompting instruction to the client when the current vehicle passes through the electronic fence area, so that the client performs driving early warning on the user according to the intrusion early warning prompting instruction.
In another aspect, the present application further provides a vehicle driving warning device, which may include a processor and a memory, where the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the vehicle driving warning method according to any of the above embodiments.
In the embodiment, the control point information is acquired through the server; the server side generates an electronic fence area according to the control point information, wherein the electronic fence area at least comprises a control point; the client acquires the position information, the course angle information and the real-time speed information of the current vehicle and sends the information to the server; the server side judges whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle; if yes, the server side sends an intrusion early warning prompt instruction to the client side; and the client performs driving early warning on the user according to the intrusion early warning prompt instruction, so that driving early warning on vehicles which will enter a dangerous area can be realized.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: rather, the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that although embodiments described herein include some features included in other embodiments, not other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims of the present invention, any of the claimed embodiments may be used in any combination.
The present invention may also be embodied as apparatus or system programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps or the like not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several systems, several of these systems can be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering and these words may be interpreted as names.

Claims (9)

1. A vehicle driving early warning method is characterized by comprising the following steps:
the server side obtains disaster-related prevention and control point information; the control point information comprises control point positions and control point danger levels of a plurality of control points; the control point danger level is determined based on the time point of the event occurrence of the control point or the control point characteristics of the control point;
the server side determines the density degree of the plurality of prevention and control points according to the prevention and control point positions of the plurality of prevention and control points; judging whether the density degrees of the plurality of prevention and control points meet a preset density degree condition or not; when the density of the prevention and control points meets a preset density condition, the server generates an electronic fence area based on the danger levels of the prevention and control points; the electronic fence area at least comprises one prevention and control point;
the client acquires the position information, the course angle information and the real-time speed information of the current vehicle and sends the information to the server;
the server side judges whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle;
if yes, the server side sends an intrusion early warning prompt instruction to the client side;
and the client performs driving early warning on the user according to the intrusion early warning prompt instruction.
2. A vehicle driving early warning method is characterized by comprising the following steps:
acquiring disaster-related prevention and control point information; the control point information comprises control point positions and control point danger levels of a plurality of control points; the control point danger level is determined based on the time point of the event occurrence of the control point or the control point characteristics of the control point;
determining the density of the prevention and control points according to the prevention and control point positions of the prevention and control points; judging whether the density degrees of the plurality of prevention and control points meet a preset density degree condition or not; when the density of the plurality of prevention and control points meets a preset density condition, generating an electronic fence area based on the danger level of the prevention and control points of the plurality of prevention and control points; the electronic fence area at least comprises one prevention and control point;
acquiring position information, course angle information and real-time speed information of a current vehicle, which are acquired by a client;
judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle;
and if so, sending an intrusion early warning prompt instruction to the client so that the client carries out driving early warning on the user according to the intrusion early warning prompt instruction.
3. The method of claim 2, wherein said prevention point information comprises one of said prevention points;
the generating of the electronic fence area according to the control point prevention information comprises:
determining the target radius of the electronic fence area according to the danger level of the prevention and control point;
and generating the electronic fence area by taking the prevention and control point position as a circle center and the target radius as a radius.
4. The method of claim 2, wherein the determining whether the current vehicle passes through the fence area based on the location information, the heading angle information, and the real-time speed information of the current vehicle comprises:
inputting the position information, the course angle information and the real-time speed information of the current vehicle into a prediction model, and predicting the running track of the current vehicle by using the prediction model to obtain a target running track;
judging whether the target driving track and the electronic fence area generate intersection;
if the intersection is generated, determining that the current vehicle passes through the electronic fence area;
and if the intersection is not generated, determining that the current vehicle does not pass through the electronic fence area.
5. The method of claim 2, further comprising:
judging whether the current vehicle is located in the electronic fence area or not according to the position information of the current vehicle and the electronic fence area;
if so, acquiring vehicle information and user information of the current vehicle;
and recording the vehicle information and the user information of the current vehicle.
6. The method of claim 2, further comprising:
acquiring high-precision map information;
performing position marking on the electronic fence area and the current vehicle in high-precision map information based on the position information of the electronic fence area and the current vehicle to obtain a second high-precision map;
and sending the second high-precision map to the client so that the client displays the second high-precision map.
7. The vehicle driving early warning system is characterized by comprising a server and a client;
the server side is used for acquiring disaster-related prevention and control point information; the control point information comprises control point positions and control point danger levels of a plurality of control points; the control point danger level is determined based on the time point of the event occurrence of the control point or the control point characteristics of the control point; the control point position determining module is used for determining the density of the control points according to the control point positions of the control points; judging whether the density degrees of the plurality of prevention and control points meet a preset density degree condition or not; when the density of the plurality of prevention and control points meets a preset density condition, the server generates an electronic fence area based on the danger level of the prevention and control points of the plurality of prevention and control points; the electric fence area comprises at least one prevention and control point; judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle; sending an intrusion early warning prompt to the client;
the client is used for acquiring the position information, the course angle information and the real-time speed information of the current vehicle; sending the position information, the course angle information and the real-time speed information of the current vehicle to the server; and receiving an intrusion early warning prompt and carrying out driving early warning on the user according to the intrusion early warning prompt.
8. A vehicle travel warning apparatus, characterized in that the apparatus comprises:
the first information acquisition module is used for acquiring disaster-related prevention and control point information; the control point information comprises control point positions and control point danger levels of a plurality of control points; the control point danger level is determined based on the time point of the event occurrence of the control point or the control point characteristics of the control point;
the electronic fence generating module is used for determining the density of the plurality of prevention and control points according to the prevention and control point positions of the plurality of prevention and control points; judging whether the density degrees of the plurality of prevention and control points meet a preset density degree condition or not; when the density of the plurality of prevention and control points meets a preset density condition, the server side generates an electronic fence area based on the danger level of the prevention and control points of the plurality of prevention and control points; the electronic fence area comprises at least one prevention and control point;
the second information acquisition module is used for acquiring the position information, the course angle information and the real-time speed information of the current vehicle;
the route analysis module is used for judging whether the current vehicle passes through the electronic fence area or not according to the position information, the course angle information and the real-time speed information of the current vehicle;
and the early warning sending module is used for sending an intrusion early warning prompting instruction to the client when the current vehicle passes through the electronic fence area, so that the client carries out driving early warning on the user according to the intrusion early warning prompting instruction.
9. A vehicle driving warning apparatus, comprising a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the vehicle driving warning method according to any one of claims 1 to 6.
CN202010914959.1A 2020-09-03 2020-09-03 Vehicle driving early warning method, system, device and equipment Active CN112235712B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010914959.1A CN112235712B (en) 2020-09-03 2020-09-03 Vehicle driving early warning method, system, device and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010914959.1A CN112235712B (en) 2020-09-03 2020-09-03 Vehicle driving early warning method, system, device and equipment

Publications (2)

Publication Number Publication Date
CN112235712A CN112235712A (en) 2021-01-15
CN112235712B true CN112235712B (en) 2022-12-13

Family

ID=74115498

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010914959.1A Active CN112235712B (en) 2020-09-03 2020-09-03 Vehicle driving early warning method, system, device and equipment

Country Status (1)

Country Link
CN (1) CN112235712B (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113379989A (en) * 2021-04-20 2021-09-10 东阳市光明电力建设有限公司 Anti-intrusion vehicle monitoring system and method based on power transmission line external source breaking
CN113191609A (en) * 2021-04-22 2021-07-30 上海仙豆智能机器人有限公司 Vehicle monitoring method, device, equipment and medium based on electronic fence
CN113793490B (en) * 2021-08-12 2022-09-13 北京中交兴路信息科技有限公司 Pressure testing method and device for electronic fence, storage medium and terminal
CN113920703A (en) * 2021-08-26 2022-01-11 岚图汽车科技有限公司 Method for preventing vehicle from soaking in water, vehicle and electronic equipment
CN113838284B (en) * 2021-09-15 2023-01-06 北京中交兴路车联网科技有限公司 Vehicle early warning method and device on accident-prone road section, storage medium and terminal
CN114202903A (en) * 2021-12-31 2022-03-18 北京中交兴路信息科技有限公司 DEM data-based vehicle early warning method, device, equipment and storage medium
CN115188180A (en) * 2022-04-27 2022-10-14 清华大学 Vehicle health detection method and system based on space-time trajectory
CN115116270A (en) * 2022-07-07 2022-09-27 上海工物高技术产业发展有限公司 Directional road traffic anti-collision early warning system and method
CN115294778A (en) * 2022-09-28 2022-11-04 四川科泰智能电子有限公司 Regional vehicle access statistical method and system

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110685750A (en) * 2019-10-23 2020-01-14 陕西煤业化工技术研究院有限责任公司 Mine disaster megaevent monitoring and early warning system and method

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9487222B2 (en) * 2015-01-08 2016-11-08 Smartdrive Systems, Inc. System and method for aggregation display and analysis of rail vehicle event information
KR101768132B1 (en) * 2015-08-14 2017-08-30 현대자동차주식회사 Method and program, and navigation device, server and computer readable medium for performing the same
CN105575110B (en) * 2016-03-08 2018-06-08 江苏物联网研究发展中心 A kind of wisdom municipal administration special vehicle monitoring system based on GIS
CN106251667B (en) * 2016-08-18 2019-04-02 深圳市永兴元科技股份有限公司 Vehicle drive reminding method and device
CN107393293A (en) * 2017-06-06 2017-11-24 新疆四得恒通信息科技有限公司 A kind of heavy mechanical equipment and heavy vehicle security management and control system
CN107154133A (en) * 2017-06-22 2017-09-12 南京邮电大学 A kind of regional early warning method based on defined position
CN110751827B (en) * 2018-07-24 2021-03-02 东旭光电科技股份有限公司 Method and device for outputting prompt information, intelligent street lamp and readable storage medium
CN209842862U (en) * 2019-06-05 2019-12-24 杭州逗哈车联网技术有限公司 Electronic fence
CN110491179B (en) * 2019-09-02 2021-12-28 孔吉 Airport scene monitoring system with dynamic virtual electronic fence
CN110853293A (en) * 2019-10-25 2020-02-28 北京首钢自动化信息技术有限公司 Security early warning method and device for map fence
CN110930651B (en) * 2019-11-29 2021-12-10 成都理工大学 Disaster early warning-based road vehicle management and control method, system and readable storage medium
CN111464974B (en) * 2020-03-18 2022-08-12 浙江吉利新能源商用车集团有限公司 Internet of vehicles data communication method, device, equipment and medium
CN111615049B (en) * 2020-04-17 2022-07-19 北京中交兴路车联网科技有限公司 Early warning method and device based on vehicle position information, storage medium and terminal

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110685750A (en) * 2019-10-23 2020-01-14 陕西煤业化工技术研究院有限责任公司 Mine disaster megaevent monitoring and early warning system and method

Also Published As

Publication number Publication date
CN112235712A (en) 2021-01-15

Similar Documents

Publication Publication Date Title
CN112235712B (en) Vehicle driving early warning method, system, device and equipment
US10559196B2 (en) Method and system for vehicular-related communications
Fu et al. Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data
US9940530B2 (en) Platform for acquiring driver behavior data
CN110164130B (en) Traffic incident detection method, device, equipment and storage medium
CN104916138B (en) The processing method of information of vehicles, system, mobile unit and server
US11302176B2 (en) Real time municipal imminent danger warning system
Saiprasert et al. Driver behaviour profiling using smartphone sensory data in a V2I environment
CN110097753B (en) Secondary accident early warning method, device and system and road monitoring device
US11112797B2 (en) System and method for improving autonomous vehicle safety performance
WO2017078872A1 (en) Dispatch controller and method for assigning a role of pursuit vehicle
CN111105622B (en) Illegal parking correction method and device and storage medium
Pauer Development potentials and strategic objectives of intelligent transport systems improving road safety
CN106662454A (en) Warning notification system, warning notification method, and program
CN110505192A (en) Detection and positioning to the attack of vehicle communication network
Liu et al. How big data serves for freight safety management at highway-rail grade crossings? A spatial approach fused with path analysis
CN113674523A (en) Traffic accident analysis method, device and equipment
GB2577082A (en) Determining road safety
JP2018018214A5 (en)
Ibrahim et al. A system for vehicle collision and rollover detection
KR102149175B1 (en) Vehicle accident detection and emergency call service system based on data and method for processing thereof
CN113990105A (en) Vehicle track processing method and device, computer equipment and storage medium
CN113516848B (en) Directional tweeter control method and system applied to expressway
Azeez et al. A web-based accident reporting and tracking system (artsys) using sensor technology
CN109685010B (en) Highway slope protection network vulnerability position positioning method and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant