CN111391859A - Vehicle owner identification early warning method and system - Google Patents

Vehicle owner identification early warning method and system Download PDF

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Publication number
CN111391859A
CN111391859A CN202010207415.1A CN202010207415A CN111391859A CN 111391859 A CN111391859 A CN 111391859A CN 202010207415 A CN202010207415 A CN 202010207415A CN 111391859 A CN111391859 A CN 111391859A
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data
vehicle
driving data
current
road condition
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周林
潘滔
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Chongqing Branch of DFSK Motor Co Ltd
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Chongqing Branch of DFSK Motor Co Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0809—Driver authorisation; Driver identity check

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Physics (AREA)
  • Transportation (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a vehicle owner identification early warning method and system, relates to the technical field of vehicle networking, and can effectively identify whether a current driver is a vehicle owner or not by analyzing driving behavior data. The method comprises the following steps: receiving current road condition information and corresponding current driving data acquired by a vehicle-mounted terminal; searching historical driving data which correspond to the vehicle-mounted terminal and are matched with the road condition information in a preset database; and scoring the difference degree of the current driving data and the historical driving data, and judging that the current driver is not the owner of the vehicle when the score of the difference degree is larger than a threshold value. The system is applied with the method provided by the scheme.

Description

Vehicle owner identification early warning method and system
Technical Field
The invention relates to the technical field of vehicle networking, in particular to a vehicle owner identification early warning method and system.
Background
With the popularization of vehicles, vehicle theft events also frequently occur, and the vehicle theft can be effectively prevented through the identification of the identity of a driver.
In the prior art, the identity of a user is mostly recognized based on biological characteristics, such as face recognition, fingerprint recognition, iris recognition and the like, and the method needs to install specific biological information acquisition equipment, such as a camera, a fingerprint sensor and the like, in a vehicle, so that the user cost is increased, and the existing TSP platform network is not fully utilized.
Disclosure of Invention
The invention aims to provide a vehicle owner identification early warning method and system, which can effectively identify whether a current driver is a vehicle owner or not by analyzing driving behavior data.
In order to achieve the above object, an aspect of the present invention provides an owner identification early warning method, including:
receiving current road condition information and corresponding current driving data acquired by a vehicle-mounted terminal;
searching historical driving data which correspond to the vehicle-mounted terminal and are matched with the road condition information in a preset database;
and scoring the difference degree of the current driving data and the historical driving data, and judging that the current driver is not the owner of the vehicle when the score of the difference degree is larger than a threshold value.
Preferably, scoring the difference degree of the current driving data and the historical driving data, and determining that the current driver is not the vehicle owner when the score of the difference degree is greater than a threshold value further comprises:
and sending the judgment result and the current position information of the vehicle to a mobile terminal bound with the vehicle through the TSP platform.
Preferably, after sending the determination result and the current location information of the vehicle to the mobile terminal bound to the vehicle, the method further includes:
and the TSP platform receives secondary confirmation information sent by the mobile terminal, wherein the secondary confirmation information is that the judgment result is correct or the judgment result is wrong.
Further, after receiving the secondary acknowledgement information sent by the mobile terminal, the TSP platform further includes:
if the secondary confirmation information is that the judgment result is correct, the TSP platform forwards a vehicle control instruction sent by the mobile terminal to a vehicle-mounted T-BOX bound with the vehicle, and a traveling computer executes corresponding instruction operation, wherein the vehicle control instruction comprises one or more of a fuel cut-off control instruction, a power cut-off control instruction, a central control lock-up control instruction and a door and window lock-up control instruction;
and if the secondary confirmation information is that the judgment result is wrong, the TSP platform updates the current road condition information and the corresponding current driving data into historical driving data of the database.
Preferably, the method for receiving the current traffic information collected by the vehicle-mounted terminal and the corresponding current driving data includes:
acquiring current road condition information through a recorder, and acquiring current driving data of a vehicle through a driving computer;
the vehicle-mounted terminal packs and uploads the current road condition information and the current driving data to the TSP platform;
the current driving data includes data for one or more dimensions of throttle control data, seat position adjustment data, clutch control data, air conditioning control data, window control data, current position information.
Preferably, before receiving the current traffic information and the corresponding current driving data collected by the vehicle-mounted terminal, the method further includes:
pre-constructing a database storing historical driving data of vehicle owners corresponding to each registered vehicle;
historical driving data corresponding to each vehicle owner under at least one road condition information is stored in the database;
the type of the road condition information comprises one or more of high-speed road condition, provincial road condition, overhead road condition, urban road condition, village and town road condition and mountain road condition;
the historical driving data comprises throttle control range data, seat position adjustment range data, clutch control range data, air conditioner control range data, window control range data and common track route data.
Preferably, the method for scoring the difference degree between the current driving data and the historical driving data comprises the following steps:
establishing a grading model, wherein the grading model is used for comparing the current driving data with the same dimensionality in the historical driving data pairwise, and respectively calculating the corresponding difference degree grade of each data with the same dimensionality;
and accumulating the difference degree scores corresponding to the same dimension data in the current driving data and the historical driving data to obtain the difference degree score of the current driving data and the historical driving data.
Illustratively, the formula for calculating the difference score corresponding to the same dimension data is as follows:
C＝∣(A-B1)/B1| or C | (a-B)2)/B2| and B1＜B2；
Wherein A represents any dimension data in the current driving data, and B1Lower range value, B, representing corresponding dimensional data in historical driving data2And C represents the difference degree score of the current driving data and the historical driving data in the dimension data.
Compared with the prior art, the vehicle owner identification early warning method provided by the invention has the following beneficial effects:
the vehicle owner identification early warning method provided by the invention comprises the steps that current road condition information and corresponding current driving data are collected by a vehicle-mounted terminal and uploaded to a TSP platform, historical driving data which are bound with a vehicle and matched with the road condition information are searched in a database by the TSP platform, and finally, the current driving data and the historical driving data are subjected to difference degree grading by the TSP platform, and when the difference degree grading is larger than a threshold value, the current driver is judged not to be a vehicle owner, otherwise, the current driver is judged to be the vehicle owner. Therefore, the driving behavior data are analyzed, and whether the current driver is the owner or not can be effectively identified.
The second aspect of the present invention provides an owner identification and early warning system, which applies the owner identification and early warning method mentioned in the above technical solution, and the system includes:
the data receiving module is used for receiving current road condition information acquired by the vehicle-mounted terminal and corresponding current driving data;
the data matching module is used for searching historical driving data which correspond to the vehicle-mounted terminal and are matched with the road condition information in a preset database;
and the judging module is used for grading the difference degree of the current driving data and the historical driving data and judging that the current driver is not the owner of the vehicle when the difference degree grade is greater than a threshold value.
Compared with the prior art, the beneficial effects of the vehicle owner identification early warning system provided by the invention are the same as those of the vehicle owner identification early warning method provided by the technical scheme, and the detailed description is omitted here.
A third aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, executes the steps of the above-mentioned vehicle owner identification early warning method.
Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the invention are the same as those of the vehicle owner identification early warning method provided by the technical scheme, and are not repeated herein.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart of a vehicle owner identification early warning method according to an embodiment;
fig. 2 is a block diagram of the structure of the vehicle owner identification early warning method in the second embodiment.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the present embodiment provides a vehicle owner identification early warning method, including:
receiving current road condition information and corresponding current driving data acquired by a vehicle-mounted terminal; searching historical driving data which correspond to the vehicle-mounted terminal and are matched with the road condition information in a preset database; and scoring the difference degree of the current driving data and the historical driving data, and judging that the current driver is not the owner of the vehicle when the score of the difference degree is larger than a threshold value.
In the vehicle owner identification and early warning method provided by this embodiment, first, the vehicle-mounted terminal collects current road condition information and corresponding current driving data and uploads a TSP platform, then the TSP platform searches historical driving data bound with a vehicle and matched with the road condition information in a database, and finally, the TSP platform performs difference scoring on the current driving data and the historical driving data, and determines that the current driver is not a vehicle owner when the difference scoring is greater than a threshold value, otherwise, determines that the current driver is a vehicle owner. Therefore, according to the embodiment, whether the current driver is the vehicle owner or not can be effectively identified by analyzing the driving behavior data.
Considering that if the current driver is not the owner of the vehicle, there is a possibility that the vehicle is stolen, the embodiment further includes, after scoring the current driving data and the historical driving data for the difference degree and determining that the current driver is not the owner of the vehicle when the score for the difference degree is greater than the threshold value:
and sending the judgment result and the current position information of the vehicle to a mobile terminal bound with the vehicle through the TSP platform. Because the mobile terminal of the vehicle owner and the vehicle (including the vehicle-mounted terminal) are bound with each other through the TSP platform, when the TSP platform identifies that the current driver is not the vehicle owner, the judgment result and the current position information of the vehicle can be timely sent to the mobile terminal of the vehicle owner, so that the vehicle owner can know the relevant conditions at the first time.
Further, after the determination result and the current location information of the vehicle are sent to the mobile terminal bound to the vehicle, the above embodiment further includes:
and the TSP platform receives secondary confirmation information sent by the mobile terminal, wherein the secondary confirmation information is that the judgment result is correct or the judgment result is wrong.
Considering that the vehicle owner knows the current situation that the driver drives the vehicle, if the vehicle owner borrows the vehicle for others actively, the vehicle owner can carry out secondary confirmation information again after receiving the message sent by the TSP platform, and if the situation belongs to the situation of the active vehicle receiving, the judgment result error can be sent to the TSP platform, so that unnecessary misunderstandings are reduced.
In order to further expand the car networking function of the TSP platform, in the above embodiment, after the TSP platform receives the secondary confirmation information sent by the mobile terminal, the method further includes:
if the secondary confirmation information is that the judgment result is correct, the TSP platform forwards a vehicle control instruction sent by the mobile terminal to a vehicle-mounted T-BOX bound with the vehicle, and a traveling computer executes corresponding instruction operation, wherein the vehicle control instruction comprises one or more of a fuel cut-off control instruction, a power cut-off control instruction, a central control lock-up control instruction and a door and window lock-up control instruction;
and if the secondary confirmation information is that the judgment result is wrong, the TSP platform updates the current road condition information and the corresponding current driving data into historical driving data of the database.
When the method is specifically implemented, the situation that secondary confirmation information is correct in judgment result shows that the vehicle of the vehicle owner is stolen, at the moment, the vehicle owner can implement remote emergency control on the stolen vehicle through the mobile terminal, such as one or more of remote fuel cut-off control, remote power-off control, remote central control locking control and remote door and window locking control, and certainly considering the life safety of a vehicle thief, before the remote fuel cut-off control and the remote power-off control are started, an emergency parking prompt can be sent to the vehicle thief through the vehicle-mounted terminal in advance, and the remote fuel cut-off control and the remote power-off control are implemented after the emergency parking is completed. For the case that the secondary confirmation information is that the judgment result is wrong, the current driver is the owner of the vehicle, and in order to improve the accuracy of the subsequent identification result of the TSP platform, the current road condition information and the corresponding current driving data can be updated into the historical driving data of the database.
Alternatively, the time period range for generating the historical driving data may be adjusted manually by the user, such as by default to historical driving data for the owner of the vehicle for the last 30 days.
Specifically, the method for receiving the current road condition information acquired by the vehicle-mounted terminal and the corresponding current driving data in the embodiment includes:
acquiring current road condition information through a recorder, and acquiring current driving data of a vehicle through a driving computer; the vehicle-mounted terminal packs and uploads the current road condition information and the current driving data to the TSP platform; the current driving data includes data for one or more dimensions of throttle control data, seat position adjustment data, clutch control data, air conditioning control data, window control data, current position information.
When the method is specifically implemented, the current road condition information includes any one of a highway condition, a provincial road condition, an overhead road condition, an urban road condition, a rural road condition and a mountain road condition, and the throttle control data can be understood as dividing the throttle control into a plurality of grades, such as: the seat position adjustment data may be understood as dividing the adjustment of the seat position into a plurality of levels, such as, for example, 10% oil feed for level 1, 20% oil feed for level 2, 30% oil feed for level 3, … …, and 100% oil feed for level 10: the 1-level adjustment is 10%, the 2-level adjustment is 20%, the 3-level adjustment is 30%, … …, and the 10-level adjustment is 100%, and similarly, the division of the clutch control data, the air conditioner control data, and the window control data is the same as the above principle, and this embodiment will not be described again.
It should be noted that, before receiving the current traffic information and the corresponding current driving data collected by the vehicle-mounted terminal in the above embodiment, the method further includes:
pre-constructing a database storing historical driving data of vehicle owners corresponding to each registered vehicle; historical driving data corresponding to each vehicle owner under at least one road condition information is stored in the database; the type of the road condition information comprises one or more of high-speed road condition, provincial road condition, overhead road condition, urban road condition, village and town road condition and mountain road condition; the historical driving data includes throttle control range data, seat position adjustment range data, clutch control range data, air conditioner control range data, window control range data, and common trajectory route data.
It can be understood that each dimension data in the historical driving data corresponds to an interval range, for example, the throttle control range data corresponding to the vehicle owner under the high-speed road condition in the historical driving data is 30% to 80% of oil supply, and the interval range of each dimension data represents the behavior habit of the vehicle owner under the current road condition.
Further, the method for scoring the difference degree between the current driving data and the historical driving data in the embodiment comprises the following steps:
establishing a scoring model, wherein the scoring model is used for pairwise comparing the current driving data with the same dimensionality in the historical driving data, and respectively calculating the corresponding difference degree score of each data with the same dimensionality; and accumulating the difference degree scores corresponding to each same dimension data in the current driving data and the historical driving data to obtain the difference degree score of the current driving data and the historical driving data.
Illustratively, the difference degree scoring formula of one dimension data is as follows:
C＝∣(A-B1)/B1| or C | (a-B)2)/B2| and B1＜B2；
Wherein A represents any dimension data in the current driving data, and B1Lower range value, B, representing corresponding dimensional data in historical driving data2And C represents the difference degree score of the current driving data and the historical driving data in the dimension data.
In specific implementation, if the acquired current driving data includes 80% of the throttle control data, 40% of the clutch control data and 30% of the air conditioner control data, and the current road condition information identifies a high-speed road condition, the historical driving data corresponding to the owner of the bound vehicle in the driving environment of the high-speed road condition, which are matched from the database, respectively include: the throttle control range data is 40% -70%, the clutch control range data is 20% -30%, the air conditioner control range data is 50% -60%, the window control range data is 10% -20%, and other dimension range data, so that the same dimension data in the current driving data and the historical driving data comprises the throttle control data, the clutch control data and the air conditioner control data, and as the value of the throttle control data is greater than the upper limit of the throttle control range data, a formula C ═ | is adopted (A-B)2)/B2| calculating the difference degree of the dimension dataScoring, i.e., (0.8-0.7)/0.7 | (0.14), using the formula C | (a-B) since the value of the clutch control data is less than the lower limit of the clutch control range data1)/B1Calculating the difference degree score of the dimension data, namely | (0.4-0.5)/0.5 | -0.2, wherein the value of the air conditioner control data is between the air conditioner control range data, so that the difference degree score of the dimension data is zero, and finally accumulating the difference degree scores corresponding to the 3 same dimension data, namely 0.14+0.2 ═ 0.24, if the threshold value is 0.2, then judging that the current driver is not the owner of the vehicle because 0.24 is greater than 0.2.
It should be emphasized that, as long as the value of any one dimension data in the current driving data falls into the interval range of the corresponding dimension data in the historical driving data, the difference score between the current driving data and the historical driving data under the dimension data is zero.
For example, the manner in which the TSP platform sends the determination result and the current location information of the vehicle to the mobile terminal bound to the vehicle in the above embodiments includes one or more of the following:
short message push, mail push, telephone push and APP push.
Exemplarily, the mobile terminal may be a smart phone, a tablet computer, a smart band or a smart watch, and the like.
Example two
Referring to fig. 2, the present embodiment provides an owner identification and early warning system, including:
the data receiving module is used for receiving current road condition information acquired by the vehicle-mounted terminal and corresponding current driving data;
the data matching module is used for searching historical driving data which correspond to the vehicle-mounted terminal and are matched with the road condition information in a preset database;
and the judging module is used for grading the difference degree of the current driving data and the historical driving data and judging that the current driver is not the owner of the vehicle when the difference degree grade is greater than a threshold value.
Compared with the prior art, the beneficial effects of the vehicle owner identification early warning system provided by the embodiment are the same as those of the vehicle owner identification early warning method provided by the embodiment, and are not repeated herein.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the above-mentioned vehicle owner identification early warning method.
Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiment are the same as those of the vehicle owner identification and early warning method provided by the technical scheme, and are not repeated herein.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the invention may be implemented by hardware that is instructed to be associated with a program, the program may be stored in a computer-readable storage medium, and when the program is executed, the program includes the steps of the method of the embodiment, and the storage medium may be: ROM/RAM, magnetic disks, optical disks, memory cards, and the like.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (10)

1. A vehicle owner identification early warning method is characterized by comprising the following steps:
receiving current road condition information and corresponding current driving data acquired by a vehicle-mounted terminal;
searching historical driving data which correspond to the vehicle-mounted terminal and are matched with the road condition information in a preset database;
and scoring the difference degree of the current driving data and the historical driving data, and judging that the current driver is not the owner of the vehicle when the score of the difference degree is larger than a threshold value.
2. The method of claim 1, wherein scoring the current driving data and the historical driving data for a degree of discrepancy and determining that the current driver is not the owner of the vehicle when the degree of discrepancy score is greater than a threshold value further comprises:
and sending the judgment result and the current position information of the vehicle to a mobile terminal bound with the vehicle through the TSP platform.
3. The method of claim 2, wherein after sending the determination result and the current location information of the vehicle to the mobile terminal bound to the vehicle, further comprising:
and the TSP platform receives secondary confirmation information sent by the mobile terminal, wherein the secondary confirmation information is that the judgment result is correct or the judgment result is wrong.
4. The method as claimed in claim 3, wherein the TSP platform further comprises, after receiving the secondary acknowledgement message sent by the mobile terminal:
if the secondary confirmation information is that the judgment result is correct, the TSP platform forwards a vehicle control instruction sent by the mobile terminal to a vehicle-mounted T-BOX bound with the vehicle, and a traveling computer executes corresponding instruction operation, wherein the vehicle control instruction comprises one or more of a fuel cut-off control instruction, a power cut-off control instruction, a central control lock-up control instruction and a door and window lock-up control instruction;
and if the secondary confirmation information is that the judgment result is wrong, the TSP platform updates the current road condition information and the corresponding current driving data into historical driving data of the database.
5. The method according to any one of claims 1 to 4, wherein the method for receiving the current traffic information and the corresponding current driving data collected by the vehicle-mounted terminal comprises the following steps:
acquiring current road condition information through a recorder, and acquiring current driving data of a vehicle through a driving computer;
the vehicle-mounted terminal packs and uploads the current road condition information and the current driving data to the TSP platform;
the current driving data includes data for one or more dimensions of throttle control data, seat position adjustment data, clutch control data, air conditioning control data, window control data, current position information.
6. The method of claim 5, wherein before receiving the current traffic information and the corresponding current driving data collected by the vehicle-mounted terminal, the method further comprises:
pre-constructing a database storing historical driving data of vehicle owners corresponding to each registered vehicle;
historical driving data corresponding to each vehicle owner under at least one road condition information is stored in the database;
the type of the road condition information comprises one or more of high-speed road condition, provincial road condition, overhead road condition, urban road condition, village and town road condition and mountain road condition;
the historical driving data comprises throttle control range data, seat position adjustment range data, clutch control range data, air conditioner control range data, window control range data and common track route data.
7. The method of claim 6, wherein scoring the degree of difference between the current driving data and the historical driving data comprises:
establishing a grading model, wherein the grading model is used for comparing the current driving data with the same dimensionality in the historical driving data pairwise, and respectively calculating the corresponding difference degree grade of each data with the same dimensionality;
and accumulating the difference degree scores corresponding to the same dimension data in the current driving data and the historical driving data to obtain the difference degree score of the current driving data and the historical driving data.
8. The method of claim 7, wherein the formula for calculating the score of the difference degree corresponding to the same dimension data is:
C＝∣(A-B1)/B1| or C | (a-B)2)/B2| and B1＜B2；
Wherein A represents any dimension data in the current driving data, and B1Lower range value, B, representing corresponding dimensional data in historical driving data2And C represents the difference degree score of the current driving data and the historical driving data in the dimension data.
9. An automobile owner identification early warning system, its characterized in that includes:
the data receiving module is used for receiving current road condition information acquired by the vehicle-mounted terminal and corresponding current driving data;
the data matching module is used for searching historical driving data which correspond to the vehicle-mounted terminal and are matched with the road condition information in a preset database;
and the judging module is used for grading the difference degree of the current driving data and the historical driving data and judging that the current driver is not the owner of the vehicle when the difference degree grade is greater than a threshold value.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any of claims 1 to 8.
CN202010207415.1A 2020-03-23 2020-03-23 Vehicle owner identification early warning method and system Pending CN111391859A (en)

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