CN109618136B - Vehicle management system and method - Google Patents

Vehicle management system and method Download PDF

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Publication number
CN109618136B
CN109618136B CN201811534373.1A CN201811534373A CN109618136B CN 109618136 B CN109618136 B CN 109618136B CN 201811534373 A CN201811534373 A CN 201811534373A CN 109618136 B CN109618136 B CN 109618136B
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vehicle
real
monitoring platform
cloud server
outside
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CN109618136A (en
Inventor
姜浙
孔凡忠
陈新
杨海军
王化英
孙学龙
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Beijing Automotive Group Co Ltd
Beijing Automotive Research Institute Co Ltd
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Beijing Automotive Group Co Ltd
Beijing Automotive Research Institute Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/76—Television signal recording
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present disclosure relates to a vehicle management system and method, the system comprising: the vehicle-mounted device is used for acquiring geographic position information and video information inside and outside the vehicle in real time and sending the geographic position information and the video information inside and outside the vehicle to the cloud server, the cloud server is used for receiving the geographic position of the vehicle and the video information inside and outside the vehicle in real time, determining running parameters of the vehicle according to the real-time geographic position of the vehicle and sending the running parameters and the video information inside and outside the vehicle to the monitoring platform, and the monitoring platform is used for displaying the running parameters and the video information inside and outside the vehicle. Through the technical scheme, the real-time interaction between the monitoring platform and the vehicle can be completed, and the real-time monitoring of videos and positions of all vehicles entering the system is realized, so that the management work of the vehicles is further enhanced.

Description

Vehicle management system and method
Technical Field
The present disclosure relates to the field of vehicle technologies, and in particular, to a vehicle management system and method.
Background
Along with the development and market-putting of intelligent internet vehicles and automatic driving vehicles, the demand for supervision of the intelligent internet vehicles and the automatic driving vehicles is increasing. However, at present, real-time interaction between the intelligent internet connection vehicle and the automatic driving vehicle and the monitoring platform is not realized, so that the monitoring platform cannot supervise the vehicle in real time.
Disclosure of Invention
It is a primary object of the present disclosure to provide a vehicle management system and method for enabling real-time supervision of a vehicle.
In order to achieve the above object, the present disclosure provides a vehicle management system including: the system comprises vehicle-mounted equipment, a cloud server and a monitoring platform, wherein the cloud server is respectively in communication connection with the vehicle-mounted equipment and the monitoring platform;
the vehicle-mounted equipment is used for acquiring the geographic position information and the video information inside and outside the vehicle of the vehicle in real time and sending the geographic position information and the video information inside and outside the vehicle of the vehicle to the cloud server;
the cloud server is used for receiving the geographic position of the vehicle and the video information inside and outside the vehicle in real time, determining the driving parameters of the vehicle according to the real-time geographic position of the vehicle, and sending the driving parameters and the video information inside and outside the vehicle to the monitoring platform;
and the monitoring platform is used for displaying the driving parameters and the video information inside and outside the vehicle.
Optionally, the driving parameters include a real-time driving speed, a real-time acceleration and a driving track of the vehicle;
the cloud server is used for determining the real-time running speed and the real-time acceleration of the vehicle between two adjacent moments according to the geographical position information of the two adjacent moments and determining the running track of the vehicle according to the geographical position information of each moment.
Optionally, the cloud server is further configured to determine a driving scene of the vehicle according to the real-time geographic position of the vehicle and the video information inside and outside the vehicle, perform classification integration on the driving parameters according to the driving scene, store a classification integration result, and send the classification integration result to the monitoring platform;
the monitoring platform is further used for displaying the classification and integration result.
Optionally, the vehicle-mounted device includes a positioning module and a video capture device disposed on the vehicle;
the positioning module is used for acquiring the geographic position information of the vehicle in real time;
the video acquisition device is used for acquiring the video information inside and outside the vehicle.
Optionally, the vehicle-mounted device further comprises a voice intercom module;
the voice intercom module is used for receiving voice information input by a user, sending the voice information input by the user to the cloud server and playing the voice information sent by the cloud server;
the cloud server is further used for sending the voice information input by the user to the monitoring platform, receiving the voice information sent by the monitoring platform, and sending the voice information to the voice talkback module.
Optionally, the vehicle-mounted device further includes a vehicle-mounted video recorder module, and the positioning module, the video acquisition device and the voice intercom module are in communication connection with the cloud server through the vehicle-mounted video recorder module.
Optionally, the monitoring platform includes a display device, the display device includes a plurality of display areas, and the display device is configured to display the driving parameter and the in-vehicle and out-vehicle video information in different display areas respectively.
Optionally, the display device is further configured to switch the display content of any one of the plurality of display areas in response to a switch instruction for the display area.
The present disclosure also provides a vehicle monitoring method, including:
the method comprises the steps that vehicle-mounted equipment acquires geographic position information and video information inside and outside a vehicle in real time and sends the geographic position information and the video information inside and outside the vehicle of the vehicle to a cloud server;
the cloud server receives geographic position information and in-vehicle and out-vehicle video information of the vehicle in real time, determines driving parameters of the vehicle according to the real-time geographic position information of the vehicle, and sends the driving parameters and the in-vehicle and out-vehicle video information to a monitoring platform;
and the monitoring platform displays the driving parameters and the video information inside and outside the vehicle.
Optionally, the driving parameters include a real-time driving speed, a real-time acceleration and a driving track of the vehicle;
the determining the driving parameters of the vehicle according to the real-time geographic position information of the vehicle comprises the following steps:
the cloud server determines the real-time running speed and the real-time acceleration of the vehicle between two adjacent moments according to the geographical position information of the two adjacent moments, and determines the running track of the vehicle according to the geographical position information of each moment.
Optionally, the method further comprises:
the cloud server determines a driving scene of the vehicle according to the real-time geographic position of the vehicle and the video information inside and outside the vehicle, classifies and integrates the driving parameters according to the driving scene, stores the classified and integrated result and sends the classified and integrated result to the monitoring platform;
and the monitoring platform displays the classification and integration result.
Optionally, the obtaining, by the vehicle-mounted device, the geographic position information of the vehicle and the video information inside and outside the vehicle in real time includes:
a positioning module of the vehicle-mounted equipment acquires the geographic position information of the vehicle in real time;
and the video acquisition device of the vehicle-mounted equipment acquires the video information inside and outside the vehicle.
Optionally, the method further comprises:
the voice talkback module of the vehicle-mounted equipment receives voice information input by a user, sends the voice information input by the user to the cloud server, and plays the voice information sent by the cloud server;
and the cloud server sends the voice information input by the user to the monitoring platform, receives the voice information sent by the monitoring platform and sends the voice information to the voice talkback module.
Optionally, the displaying, by the monitoring platform, the driving parameters and the video information inside and outside the vehicle includes:
the display equipment of the monitoring platform comprises a plurality of display areas, and the display equipment respectively displays the driving parameters and the video information inside and outside the vehicle in different display areas.
Optionally, the method further comprises:
and the display equipment of the monitoring platform responds to a switching instruction of any display area in the plurality of display areas to switch the display content of the display area.
Through the technical scheme, the following technical effects can be at least achieved:
the method comprises the steps that geographic position information and video information inside and outside the vehicle are obtained in real time through vehicle-mounted equipment, the geographic position information and the video information inside and outside the vehicle are sent to a cloud server, the cloud server determines running parameters of the vehicle according to the real-time geographic position of the vehicle, the running parameters and the video information inside and outside the vehicle are sent to a monitoring platform, the running parameters and the video information inside and outside the vehicle are displayed through the monitoring platform, real-time interaction between the monitoring platform and the vehicle can be completed, real-time monitoring of videos and positions is achieved for all vehicles entering a system, and management work of the vehicle is further enhanced.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a schematic block diagram illustrating a vehicle management system according to an exemplary embodiment of the present disclosure;
FIG. 2 is a schematic block diagram of a vehicle management system according to another exemplary embodiment of the present disclosure;
FIG. 3 is a schematic diagram illustrating a display device of a monitoring platform according to an exemplary embodiment of the present disclosure;
FIG. 4 is a flow chart illustrating a vehicle supervision method according to an exemplary embodiment of the present disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a block diagram illustrating a vehicle management system according to an exemplary embodiment of the present disclosure. As shown in fig. 1, the vehicle management system includes an in-vehicle device 101, a cloud server 102, and a monitoring platform 103, where the cloud server 102 is communicatively connected to the in-vehicle device 101 and the monitoring platform 103, respectively.
The vehicle-mounted device 101 is configured to acquire geographic position information and in-vehicle and out-vehicle video information of a vehicle in real time, and send the geographic position information and the in-vehicle and out-vehicle video information of the vehicle to the cloud platform server 102.
The cloud server 102 is configured to receive geographic position information and in-vehicle and out-vehicle video information of a vehicle in real time, determine a driving parameter of the vehicle according to the real-time geographic position of the vehicle, and send the driving parameter and the in-vehicle and out-vehicle video information to the monitoring platform 103.
The driving parameter information may include, but is not limited to, a driving speed, a driving track, and the like of the vehicle.
The monitoring platform 103 is used for displaying driving parameters and video information inside and outside the vehicle.
It should be noted that the vehicle management system according to the embodiment of the present disclosure may include a plurality of vehicle-mounted devices 101, where the vehicle-mounted devices 101 are respectively disposed on different vehicles, so that the monitoring platform 103 may display the driving parameters and the video information inside and outside the vehicles, thereby implementing real-time monitoring on the plurality of vehicles.
By adopting the system, the real-time interaction between the monitoring platform and the vehicle can be completed, and the real-time monitoring of the video and the position of all the vehicles entering the system is realized, so that the management work of the vehicle is further enhanced.
In order to make those skilled in the art understand the vehicle management system provided in the embodiment of the present disclosure, the following describes each component of the vehicle management system in detail.
First, the in-vehicle apparatus 101 will be explained.
In one embodiment of the present disclosure, as shown in fig. 2, the in-vehicle apparatus 101 includes a positioning module 111 and a video capture device 112 provided on a vehicle. The positioning module 111 is configured to obtain geographic position information of the vehicle in real time, and the video capture module 112 is configured to capture video information of the vehicle inside and outside the vehicle.
The positioning module 111 may be a GPS module, and the GNSS antenna may be used to obtain the geographic location information of the vehicle, such as the longitude and latitude of the vehicle. The video capture device 112 may include a first camera mounted above the dashboard for recording video information outside the vehicle in front of the vehicle and a second camera mounted on the right B-pillar of the vehicle for recording video information inside the vehicle in the primary and secondary driving positions.
In another embodiment of the present disclosure, as shown in fig. 2, the vehicle-mounted device 101 further includes a voice intercom module 113, where the voice intercom module 113 is configured to receive voice information input by a user and send the voice information input by the user to the cloud server 102, the cloud server 102 sends the voice information input by the user to the monitoring platform 103, and the voice intercom module 113 may further receive and play the voice information sent by the monitoring platform 103 through the cloud server 102, so as to complete voice interaction between the vehicle and the monitoring platform 103.
For example, when a vehicle occupant (i.e., a user) needs help, the voice intercom module 113 may be used to actively initiate voice intercom to contact the monitoring platform 103. Specifically, the passenger of the vehicle gets contact with the staff of the monitoring platform 103 through the sound receiving device (such as a handheld mic) of the voice intercom module 113, and correspondingly, the response information recorded by the intercom device deployed on the monitoring platform 103 is sent to the voice intercom module 113 of the vehicle through the cloud server 102, and is played by the sound playing device (such as a sound) of the voice intercom module 113, so that the voice intercom between the vehicle and the monitoring platform is realized.
In another embodiment of the present disclosure, as shown in fig. 2, the in-vehicle apparatus 101 further includes an in-vehicle video recorder module 114. The positioning module 111, the video collecting device 112 and the voice intercom module 113 are in communication connection with the cloud server 102 through the vehicle-mounted video recorder module 114.
Illustratively, the car video recorder module 114 receives the geographic location information of the vehicle, the video information inside and outside the vehicle, and the voice information sent by the positioning module 111, the video capture device 112, and the voice intercom module 113, and sends these information to the cloud server 102 via a transmitting device (e.g., an M-ANT antenna) in a wireless communication (e.g., 4G).
Next, the cloud server 102 will be described.
In one possible implementation, the driving parameters include a real-time driving speed, a real-time acceleration, and a driving trajectory of the vehicle. The cloud server 102 determines the real-time running speed and the real-time acceleration of the vehicle between two adjacent moments according to the geographical position information of the two adjacent moments, and determines the running track of the vehicle according to the geographical position information of each moment.
Illustratively, the cloud server 102 processes the geographic position of the vehicle, such as calculating a real-time travel speed by a difference between two geographic positions in a cycle, and calculating a real-time acceleration according to a difference between real-time travel speeds at two adjacent moments. Similarly, the cloud server 102 may draw the driving trajectory of the vehicle by tracing points according to the geographic positions acquired in multiple periods (e.g., once every 100 ms). The cloud server 102 may also perform optimization processing on the geographic position information and the driving track of the vehicle by using a preset algorithm, so as to overcome the problem of deviation of the geographic position acquired by the positioning module 111. After the real-time running speed, the real-time acceleration and the running track, i.e., the running parameters, are obtained, the running parameters and the video information inside and outside the vehicle can be sent to the monitoring platform 103.
In another embodiment of the present disclosure, the cloud server 102 is further configured to determine a driving scene of the vehicle according to the real-time geographic position of the vehicle and the video information inside and outside the vehicle, perform classification and integration on the driving parameters according to the driving scene, and send a classification and integration result to the monitoring platform. The driving scene comprises an urban straight road section, an urban left-turn road section, an urban right-turn road section, an urban turning road section, an urban traffic jam road section, an expressway on-off ramp road section, a rural road section and the like.
For example, the cloud server 102 determines a rough driving scene according to the real-time geographic position information of the vehicle, and then determines an actual driving scene of the vehicle by combining the video information inside and outside the vehicle.
After the driving scene of the vehicle is determined, the cloud server 102 classifies the driving scene of the vehicle according to a plurality of preset scenes (such as urban straight road sections, highway sections and the like), classifies and integrates driving parameters under the corresponding driving scene, stores the classification and integration result, and sends the classification and integration result to the monitoring platform.
For example, if the driving scene of the vehicle during one time period is a straight highway section, the condition data such as the driving parameters of the vehicle during the time period is stored in the category of the straight highway section, and if the driving scene of the vehicle during another time period is a gate highway section, the condition data such as the driving parameters of the vehicle during the time period is stored in the category of the gate highway section.
Furthermore, massive data support and real and reliable basis can be provided for automatic driving work when needed according to working condition data such as driving parameters of different driving scenes of the vehicle.
The monitoring platform 103 is explained last.
In one embodiment of the present disclosure, the monitoring platform 103 includes a display device including a plurality of display areas, and the display device is configured to display the driving parameters and the in-vehicle and out-vehicle video information in different display areas, respectively. Wherein the display device may be a liquid crystal display.
Illustratively, as shown in FIG. 3, the display device of the monitoring platform 103 is comprised of 12 55 inch industrial liquid crystal displays 4866mm in length and 2053mm in width. The areas 1 to 4 are whole video monitoring areas, the areas 5 to 9 respectively display information such as real-time driving speed, longitude and latitude, a vehicle information list, vehicle running conditions and the like of the vehicle, and the areas 10 to 12 display statistical conditions of data in the vehicle driving information.
Further, the display device is also used for responding to a switching instruction in any one of the plurality of display areas and switching the display content of the display area.
For example, the operator of the monitoring platform 103 may switch the vehicle driving image information in the display area through a combination of keys on the keyboard, and may also switch the information display interface of each vehicle, for example, ctrl +1 key switches the video in front of the vehicle, ctrl +2 key switches the video in the main driving position and the auxiliary driving position, F2 key switches the display screens of a single vehicle and multiple vehicles, and so on.
Through the display equipment of the monitoring platform, the real-time running parameter information such as the real-time running speed, the real-time acceleration and the running track of the vehicle and the video information inside and outside the vehicle, such as the video of the main driving position and the auxiliary driving position, the video in front of the vehicle and the like, of the vehicle can be displayed in real time, so that the staff of the monitoring platform can observe the movement of the vehicle in real time and manage the vehicle.
In another embodiment of the present disclosure, the monitoring platform 103 further includes a voice intercom device, and the voice intercom device can receive the voice information sent by the vehicle-mounted device 101 through the cloud server 102, and also can collect the voice information input by the monitoring person and send the voice information input by the monitoring person to the vehicle-mounted device 101 through the cloud server 102, so that the vehicle-mounted device 101 plays the voice information.
Thus, the monitoring personnel are enabled to realize voice interaction with the vehicle driver and passenger through the monitoring platform 103.
Fig. 4 is a flowchart illustrating a vehicle management method according to an exemplary embodiment of the present disclosure, as shown in fig. 4, the vehicle management method including the steps of:
in step S401, the vehicle-mounted device acquires the geographic position information and the in-vehicle and out-vehicle video information of the vehicle in real time, and sends the geographic position information and the in-vehicle and out-vehicle video information of the vehicle to the cloud server.
In a possible implementation manner, for step S401, the obtaining, by the vehicle-mounted device, the geographic position information and the in-vehicle and out-vehicle video information of the vehicle in real time specifically includes: the method comprises the steps that a positioning module of the vehicle-mounted equipment acquires geographic position information of a vehicle in real time, and a video acquisition device of the vehicle-mounted equipment acquires video information inside and outside the vehicle.
In step S402, the cloud server receives the geographic position information of the vehicle and the video information inside and outside the vehicle in real time, determines the driving parameter of the vehicle according to the real-time geographic position information of the vehicle, and sends the driving parameter and the video information inside and outside the vehicle to the monitoring platform.
In a possible implementation manner, the running parameters include a real-time running speed, a real-time acceleration and a running track of the vehicle, and for step S402, determining the running parameters of the vehicle according to the real-time geographic location information of the vehicle specifically includes: the cloud server determines the running speed and the acceleration of the vehicle between two adjacent moments according to the geographical position information of the two adjacent moments, and determines the running track of the vehicle according to the geographical position information of each moment.
In step S403, the monitoring platform displays the driving parameters and the video information inside and outside the vehicle.
By the method, real-time interaction between the monitoring platform and the vehicle can be completed, real-time monitoring of videos and positions of all vehicles entering the system is achieved, and management work of the vehicles is further enhanced.
In one embodiment of the present disclosure, the vehicle management method further includes: the cloud server determines a driving scene of the vehicle according to the real-time geographic position of the vehicle and the video information inside and outside the vehicle, classifies and integrates driving parameters according to the driving scene, stores a classification and integration result and provides the classification and integration result to the monitoring platform, and the monitoring platform displays the classification and integration result.
In another embodiment of the disclosure, a voice intercom module of the vehicle-mounted device receives voice information input by a user, sends the voice information input by the user to the cloud server, and plays the voice information sent by the cloud server;
the cloud server sends the voice information input by the user to the monitoring platform, receives the voice information sent by the monitoring platform and sends the voice information to the voice talkback module.
In step S403, the display device of the monitoring platform includes a plurality of display areas, and the display device displays the driving parameters and the video information inside and outside the vehicle in different display areas respectively.
In one possible implementation manner, the display device of the monitoring platform switches the display content of any display area in the plurality of display areas in response to a switching instruction of the display area.
It should be noted that, regarding the vehicle management method in the embodiment of the present disclosure, the implementation steps thereof have been described in detail in relation to the embodiment of the vehicle management system, and will not be elaborated herein.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims (9)

1. A vehicle management system, comprising: the system comprises vehicle-mounted equipment, a cloud server and a monitoring platform, wherein the cloud server is respectively in communication connection with the vehicle-mounted equipment and the monitoring platform;
the vehicle-mounted equipment is used for acquiring the geographic position information and the video information inside and outside the vehicle of the vehicle in real time and sending the geographic position information and the video information inside and outside the vehicle of the vehicle to the cloud server;
the cloud server is used for receiving the geographic position of the vehicle and the video information inside and outside the vehicle in real time, determining the driving parameters of the vehicle according to the real-time geographic position of the vehicle, and sending the driving parameters and the video information inside and outside the vehicle to the monitoring platform; the cloud server is further used for determining a driving scene of the vehicle according to the real-time geographic position of the vehicle and the video information inside and outside the vehicle, classifying and integrating the driving parameters according to the driving scene, storing a classification and integration result and sending the classification and integration result to the monitoring platform, wherein the driving scene comprises a city straight road section, a city left-turn road section, a city right-turn road section, a city turning road section, a city traffic jam road section and a highway section;
the monitoring platform is used for displaying the driving parameters and the video information inside and outside the vehicle, and the monitoring platform is also used for displaying the classification integration result.
2. The system of claim 1, wherein the driving parameters include a real-time driving speed, a real-time acceleration, and a driving trajectory of the vehicle;
the cloud server is used for determining the real-time running speed and the real-time acceleration of the vehicle between two adjacent moments according to the geographical position information of the two adjacent moments and determining the running track of the vehicle according to the geographical position information of each moment.
3. The system of claim 1, wherein the on-board device comprises a positioning module and a video capture device disposed on the vehicle;
the positioning module is used for acquiring the geographic position information of the vehicle in real time;
the video acquisition device is used for acquiring the video information inside and outside the vehicle.
4. The system of claim 3, wherein the in-vehicle device further comprises a voice intercom module;
the voice intercom module is used for receiving voice information input by a user, sending the voice information input by the user to the cloud server and playing the voice information sent by the cloud server;
the cloud server is further used for sending the voice information input by the user to the monitoring platform, receiving the voice information sent by the monitoring platform, and sending the voice information to the voice talkback module.
5. The system of claim 4, wherein the vehicle-mounted device further comprises a vehicle-mounted video recorder module, and the positioning module, the video acquisition device and the voice intercom module are in communication connection with the cloud server through the vehicle-mounted video recorder module.
6. The system of claim 1, wherein the monitoring platform comprises a display device, the display device comprises a plurality of display areas, and the display device is configured to display the driving parameters and the in-vehicle and out-vehicle video information in different display areas respectively.
7. The system according to claim 6, wherein the display device is further configured to switch the display content of any one of the plurality of display areas in response to a switch instruction for the display area.
8. A vehicle monitoring method, comprising:
the method comprises the steps that vehicle-mounted equipment acquires geographic position information and video information inside and outside a vehicle in real time and sends the geographic position information and the video information inside and outside the vehicle of the vehicle to a cloud server;
the cloud server receives geographic position information and in-vehicle and out-vehicle video information of the vehicle in real time, determines driving parameters of the vehicle according to the real-time geographic position information of the vehicle, and sends the driving parameters and the in-vehicle and out-vehicle video information to a monitoring platform;
determining a driving scene of the vehicle according to the real-time geographic position of the vehicle and the video information inside and outside the vehicle, classifying and integrating the driving parameters according to the driving scene, storing a classification and integration result and sending the classification and integration result to the monitoring platform, wherein the driving scene comprises a city straight road section, a city left-turn road section, a city right-turn road section, a city turning road section, a city traffic jam road section and a highway section;
and the monitoring platform displays the driving parameters and the video information inside and outside the vehicle and displays the classification integration result.
9. The method of claim 8, further comprising:
the cloud server determines a driving scene of the vehicle according to the real-time geographic position of the vehicle and the video information inside and outside the vehicle, classifies and integrates the driving parameters according to the driving scene, and sends a classification and integration result to the monitoring platform;
and the monitoring platform displays the classification and integration result.
CN201811534373.1A 2018-12-14 2018-12-14 Vehicle management system and method Active CN109618136B (en)

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CN109618136A CN109618136A (en) 2019-04-12
CN109618136B true CN109618136B (en) 2022-01-18

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