CN105869229A - Vehicle monitoring management platform-based driver score management method and system thereof - Google Patents
Vehicle monitoring management platform-based driver score management method and system thereof Download PDFInfo
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- CN105869229A CN105869229A CN201610177360.8A CN201610177360A CN105869229A CN 105869229 A CN105869229 A CN 105869229A CN 201610177360 A CN201610177360 A CN 201610177360A CN 105869229 A CN105869229 A CN 105869229A
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- vehicle
- bad steering
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
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Abstract
The invention provides a vehicle monitoring management platform-based driver score management method. The method comprises the following steps: a recorder terminal acquires automobile state data from an automobile, and judges the attribute of a bad driving behavior; the recorder terminal uploads the automobile state data and the judgment result to a vehicle monitoring management platform; the vehicle monitoring management platform receives and stores the automobile state data and the judgment result; and all uploaded data of every driver is calculated and analyzer in a limited time to obtain the score of every driver, and every driver is managed according to the score. The invention also provides a vehicle monitoring management platform-based driver score management system convenient driver scoring and management.
Description
Technical field
The present invention relates to a kind of driver based on vehicle-mounted monitoring management platform mark management method and system.
Background technology
Car operation administration section can improve traffic safety in the following way, reduces driver's bad steering
Behavior situation: driver can be calculated by the automobile travel recorder terminal (being called for short terminal below) of 2G
Bad steering behavior, after reporting vehicle-mounted monitoring management platform (being called for short platform below), platform can under
Sending out warning information reminds driver to take care.
Shortcoming present on its technology: driver takes care only by voice reminder, is extremely difficult to completely
Stop the situation of bad steering behavior.And part driver inherently driving habits is poor, have certain
Bad steering and in violation of rules and regulations history, for such driver, the mode only relying on voice reminder cannot be entangled
Just, if allowing it to continue to drive vehicle, it is more likely that major traffic accidents can be caused.
Summary of the invention
The technical problem to be solved in the present invention, is to provide a kind of driver based on vehicle-mounted monitoring management platform
Scoring management method and system, it is simple to managing driver.
One of present invention is achieved in that a kind of driver based on vehicle-mounted monitoring management platform marks management
Method, described method need to provide monitor terminal and vehicle-mounted monitoring management platform, comprise the steps:
Step 1, monitor terminal obtain vehicle condition data from car, it is judged that bad steering behavior property；
Vehicle condition data and judged result are uploaded to vehicle-mounted monitoring management by step 2, monitor terminal
Platform；
Step 3, vehicle-mounted monitoring management platform receives and stores；
Step 4, in limiting time, all data being uploaded of single driver are carried out computational analysis,
Draw the scoring of driver, according to this scoring, driver is managed.
Further, described in described step 1, bad steering behavior property includes: hypervelocity, suddenly acceleration,
Anxious slow down, the most idle, neutral position sliding, form, idling air-conditioning and fatigue driving outside Green Zone.
Further, described step 3 is further particularly as follows: the front end processor of vehicle-mounted monitoring management platform receives
Data, and it is transmitted to service server, service server resolves and is stored in data base.
Further, described step 4 is further particularly as follows: define it for each bad steering behavior
Scoring weight coefficient YN, wherein, N is positive integer, and YN summation is 100%.
Its order of severity weight coefficient KN is defined for each bad steering behavior,
Its score calculates for individual event bad steering behavior:
In limiting time, take out all data being uploaded of single driver, show that vehicle is gone during this period
The milimeter number M sailed, and statistics number BN of every bad steering behavior, calculate that its individual event is bad drives
Sail the score of behavior: the individual event bad steering behavior score XN=(system of 100-individual event bad steering behavior
The order of severity weight coefficient KN of metering number BN*1000/ milimeter number M* individual event bad steering behavior) *
The scoring weight coefficient YN of individual event bad steering behavior.
According to the computational methods of described individual event bad steering behavior score, all of bad steering row is carried out
Calculate, and after addition together, obtain the scoring of driver, according to this scoring, driver is managed.
The two of the present invention are achieved in that a kind of driver based on vehicle-mounted monitoring management platform marks management
System, described system need to provide monitor terminal and vehicle-mounted monitoring management platform, including such as lower module:
Calculating bad steering behavior module, monitor terminal obtains vehicle condition data from car, it is judged that no
Good driving behavior attribute；
Upload module recorder terminal and vehicle condition data and judged result are uploaded to vehicle-mounted monitoring pipe
Platform；
Receiving memory module, vehicle-mounted monitoring management platform receives and stores；
All data being uploaded of single driver, in limiting time, are counted by scoring management module
Calculation and Analysis, draws the scoring of driver, is managed driver according to this scoring.
Further, described in described calculating bad steering behavior module, bad steering behavior property includes:
Hypervelocity, anxious accelerate, anxious slow down, the most idle, neutral position sliding, form, idling air-conditioning and fatigue outside Green Zone
Drive.
Further, described reception memory module is further particularly as follows: vehicle-mounted monitoring manages the preposition of platform
Machine receives data, and is transmitted to service server, and service server resolves and is stored in data base.
Further, described scoring management module is further particularly as follows: for each bad steering behavior
Defining its scoring weight coefficient YN, wherein, N is positive integer, and YN summation is 100%.
Its order of severity weight coefficient KN is defined for each bad steering behavior,
Its score calculates for individual event bad steering behavior:
In limiting time, take out all data being uploaded of single driver, show that vehicle is gone during this period
The milimeter number M sailed, and statistics number BN of every bad steering behavior, calculate that its individual event is bad drives
Sail the score of behavior: the individual event bad steering behavior score XN=(system of 100-individual event bad steering behavior
The order of severity weight coefficient KN of metering number BN*1000/ milimeter number M* individual event bad steering behavior) *
The scoring weight coefficient YN of individual event bad steering behavior.
According to the computational methods of described individual event bad steering behavior score, all of bad steering row is carried out
Calculate, and after addition together, obtain the scoring of driver, according to this scoring, driver is managed.
Present invention have the advantage that a kind of driver based on vehicle-mounted monitoring management platform of the present invention marks pipe
Reason method and system, thus inform car operation administration section, allow car operation administration section follow-up
Driver can be examined by operation and the relatively low driver that marks is selected the superior and eliminated the inferior, being driven by screening
Sail the driver of delinquency, do not allow it to carry out the driving of commercial car, transportation can be ensured further
Safety.
Accompanying drawing explanation
The present invention is further illustrated the most in conjunction with the embodiments.
Fig. 1 is that the inventive method performs flow chart.
Fig. 2 is the flow chart of the specific embodiment of the invention.
Fig. 3 is the structural representation of present system.
Detailed description of the invention
The management method as it is shown in figure 1, present invention driver based on vehicle-mounted monitoring management platform marks, described
Method need to provide monitor terminal and vehicle-mounted monitoring management platform, comprises the steps:
Step 1, monitor terminal obtain vehicle condition data from car, it is judged that bad steering behavior property,
Described bad steering behavior property includes: hypervelocity, anxious accelerate, anxious slow down, the most idle, neutral position sliding, green
Form, idling air-conditioning and fatigue driving outside district；This judgement bad steering behavior property is i.e. to judge driver
Driving behavior is belonging to any bad driving behavior；
Vehicle condition data and judged result are uploaded to vehicle-mounted monitoring management by step 2, monitor terminal
Platform；
The front end processor of step 3, vehicle-mounted monitoring management platform receives data, and is transmitted to service server,
Service server resolves and is stored in data base；
Step 4, for each bad steering behavior define its scoring weight coefficient YN, wherein, N
For positive integer, YN summation is 100%.
Its order of severity weight coefficient KN is defined for each bad steering behavior,
Its score calculates for individual event bad steering behavior:
In limiting time, take out all data being uploaded of single driver, show that vehicle is gone during this period
The milimeter number M sailed, and statistics number BN of every bad steering behavior, calculate that its individual event is bad drives
Sail the score of behavior: the individual event bad steering behavior score XN=(system of 100-individual event bad steering behavior
The order of severity weight coefficient KN of metering number BN*1000/ milimeter number M* individual event bad steering behavior) *
The scoring weight coefficient YN of individual event bad steering behavior.
According to the computational methods of described individual event bad steering behavior score, all of bad steering row is carried out
Calculate, and after addition together, obtain the scoring of driver, according to this scoring, driver is managed.
Present invention driver's grading management system based on vehicle-mounted monitoring management platform, described system need to provide note
Record instrument terminal and vehicle-mounted monitoring management platform, including such as lower module:
Calculating bad steering behavior module, monitor terminal obtains vehicle condition data from car, it is judged that no
Good driving behavior attribute, described bad steering behavior property includes: hypervelocity, anxious acceleration, anxious deceleration, mistake
Form, idling air-conditioning and fatigue driving outside idle, neutral position sliding, Green Zone；This judgement bad steering behavior
Attribute is i.e. to judge that driver driving behavior is belonging to any bad driving behavior；
Upload module recorder terminal and vehicle condition data and judged result are uploaded to vehicle-mounted monitoring pipe
Platform；
Receiving memory module, the front end processor of vehicle-mounted monitoring management platform receives data, and is transmitted to business clothes
Business device, service server resolves and is stored in data base；
Scoring management module, defines its scoring weight coefficient YN for each bad steering behavior, its
In, N is positive integer, and YN summation is 100%.
Its order of severity weight coefficient KN is defined for each bad steering behavior,
Its score calculates for individual event bad steering behavior:
In limiting time, take out all data being uploaded of single driver, show that vehicle is gone during this period
The milimeter number M sailed, and statistics number BN of every bad steering behavior, calculate that its individual event is bad drives
Sail the score of behavior: the individual event bad steering behavior score XN=(system of 100-individual event bad steering behavior
The order of severity weight coefficient KN of metering number BN*1000/ milimeter number M* individual event bad steering behavior) *
The scoring weight coefficient YN of individual event bad steering behavior.
According to the computational methods of described individual event bad steering behavior score, all of bad steering row is carried out
Calculate, and after addition together, obtain the scoring of driver, according to this scoring, driver is managed.
One detailed description of the invention of the present invention:
System general frame: system is mainly made up of, always terminal, vehicle, vehicle-mounted monitoring management platform three part
Body framework is as shown in Figure 3.
As it is shown on figure 3, terminal is mainly responsible for obtaining relevant state data from car, calculate bad steering behavior,
And it is uploaded to vehicle-mounted monitoring management platform by 2G network.
Vehicle provides current vehicle condition data for terminal, calculates bad steering behavior for terminal and does foundation.
Vehicle-mounted monitoring management platform: according to the data of terminal to report, carry out the record of bad steering behavior, and root
According to the bad steering behavior record of single driver, calculate the scoring of driver.
As in figure 2 it is shown, 1, terminal calculate bad steering behavior: terminal obtains relevant state data from car,
Calculate bad steering behavior.
2, terminal uploads bad steering behavior: terminal by the data after correlation computations according to and platform between agreement beat
Bao Hou, is uploaded to vehicle-mounted monitoring management platform by 2G network.
3, front end processor receives data and is transmitted to service server: the front end processor of vehicle-mounted monitoring management platform receives number
According to rear, send data to service server.
4, service server resolves bad steering behavioral data, is stored in data base: service server is driven relevant
Sail after behavioral data resolves and be stored in data base.
5, report server calculates driver's scoring, is stored in data base: after certain time unit (such as 1
Month), all behaviors being reported of single driver are carried out computational analysis by report server, draw driver
Scoring.
Computational methods are as follows:
(1), its scoring weight coefficient Y is defined for each bad steering behaviorN, such as exceed the speed limit this row
It is Y for defining its scoring weight coefficient1=20%, anxious this behavior of acceleration defines its scoring weight coefficient and is
Y2=10% etc..The scoring weight coefficient summation of the bad steering behavior of all participation score calculation is
100%.
(2), its order of severity weight coefficient K is defined for each bad steering behaviorN, such as, exceed the speed limit this
It is K that individual behavior defines its order of severity weight coefficient1=10, anxious this behavior of acceleration is defined as serious journey
Degree weight coefficient K2=3 etc..
(3), its score is calculated for individual event bad steering behavior.
A, choose the time that one section of vehicle travels, such as: one-month period.
B, according to data in data base, draw the milimeter number M that vehicle travels during this period, and every bad
Statistics number B of driving behaviorN。
C, calculate the score of its individual event bad steering behavior: individual event bad steering behavior score XN=(100-
Statistics number B of individual event bad steering behaviorN* 1000/ milimeter number M* individual event bad steering behavior serious
Degree weight coefficient KN) the scoring weight coefficient Y of * individual event bad steering behaviorN。
4, after all of bad steering behavior being carried out data statistics and is added together, driver's PTS is obtained.
Such as:
It is 5000 kilometers that A driver travels total kilometrage in February.
Order of severity weight coefficient and the scoring weight coefficient of the individual event bad steering behavior that platform is specifically defined are shown in
Table below.
The statistics number of the individual event bad steering behavior got in the data base of platform sees below form.
For hypervelocity project: milimeter number M is 5000, individual event bad steering behavioral statistics number of times B1=5, individual event
Bad steering behavior order of severity weight coefficient K1=10, individual event bad steering behavior scoring weight coefficient value
Y1=20%, therefore individual event bad steering behavior score X1=(100-B1*1000/M*K1)*Y1=
(100-5*1000/5000*10) * 20%=18.
For anxious accelerating project: milimeter number M is 5000, individual event bad steering behavioral statistics number of times B2=10,
Individual event bad steering behavior order of severity weight coefficient K2=3, individual event bad steering behavior scoring weight system
Numerical value Y2=10%, therefore individual event bad steering behavior score X2=(100-B2*1000/M*K2)*Y2=
(100-10*1000/5000*3) * 10%=9.4.
Remaining individual event bad steering behavior score computation method is by that analogy.
After calculating completes all individual event bad steering behavior scores, carry out summation obtain driver scoring: 71.5
Point.After driver's PTS has calculated, the data after correlation computations are stored in data base by report server.
5, client check form present driver scoring: the client of car operation administration section needs time
Wait, can check that the driver that report server externally exports marks form, it is seen that driver marks situation.
Although the foregoing describing the detailed description of the invention of the present invention, but it is familiar with the technology people of the art
Member should be appreciated that our described specific embodiment is merely exemplary rather than for this
The restriction of bright scope, those of ordinary skill in the art are in the equivalence made according to the spirit of the present invention
Modify and change, all should contain in the scope of the claimed protection of the present invention.
Claims (8)
1. driver based on vehicle-mounted monitoring management platform marks a management method, and described method needs to provide
Monitor terminal and vehicle-mounted monitoring management platform, it is characterised in that: comprise the steps:
Step 1, monitor terminal obtain vehicle condition data from car, it is judged that bad steering behavior property；
Vehicle condition data and judged result are uploaded to vehicle-mounted monitoring management by step 2, monitor terminal
Platform；
Step 3, vehicle-mounted monitoring management platform receives and stores；
Step 4, in limiting time, all data being uploaded of single driver are carried out computational analysis,
Draw the scoring of driver, according to this scoring, driver is managed.
A kind of driver based on vehicle-mounted monitoring management platform the most according to claim 1 marks management
Method, it is characterised in that: described in described step 1, bad steering behavior property includes: exceeds the speed limit, suddenly add
Speed, anxious slow down, the most idle, neutral position sliding, form, idling air-conditioning and fatigue driving outside Green Zone.
A kind of driver based on vehicle-mounted monitoring management platform the most according to claim 1 marks management
Method, it is characterised in that: described step 3 is further particularly as follows: vehicle-mounted monitoring manages the front end processor of platform
Receiving data, and be transmitted to service server, service server resolves and is stored in data base.
A kind of driver based on vehicle-mounted monitoring management platform the most according to claim 1 marks management
Method, it is characterised in that: described step 4 is further particularly as follows: determine for each bad steering behavior
Justice its scoring weight coefficient YN, wherein, N is positive integer, and YN summation is 100%.
Its order of severity weight coefficient KN is defined for each bad steering behavior,
Its score calculates for individual event bad steering behavior:
In limiting time, take out all data being uploaded of single driver, show that vehicle is gone during this period
The milimeter number M sailed, and statistics number BN of every bad steering behavior, calculate that its individual event is bad drives
Sail the score of behavior: the individual event bad steering behavior score XN=(system of 100-individual event bad steering behavior
The order of severity weight coefficient KN of metering number BN*1000/ milimeter number M* individual event bad steering behavior) *
The scoring weight coefficient YN of individual event bad steering behavior.
According to the computational methods of described individual event bad steering behavior score, all of bad steering row is carried out
Calculate, and after addition together, obtain the scoring of driver, according to this scoring, driver is managed.
5. driver's grading management system based on vehicle-mounted monitoring management platform, described system needs to provide
Monitor terminal and vehicle-mounted monitoring management platform, it is characterised in that: include such as lower module:
Calculating bad steering behavior module, monitor terminal obtains vehicle condition data from car, it is judged that no
Good driving behavior attribute；
Upload module recorder terminal and vehicle condition data and judged result are uploaded to vehicle-mounted monitoring pipe
Platform；
Receiving memory module, vehicle-mounted monitoring management platform receives and stores；
All data being uploaded of single driver, in limiting time, are counted by scoring management module
Calculation and Analysis, draws the scoring of driver, is managed driver according to this scoring.
A kind of driver based on vehicle-mounted monitoring management platform the most according to claim 5 marks management
System, it is characterised in that: bad steering behavior property bag described in described calculating bad steering behavior module
Include: hypervelocity, anxious accelerate, anxious slow down, the most idle, neutral position sliding, form outside Green Zone, idling air-conditioning and
Fatigue driving.
A kind of driver based on vehicle-mounted monitoring management platform the most according to claim 5 marks management
System, it is characterised in that: described reception memory module is further particularly as follows: vehicle-mounted monitoring manages platform
Front end processor receives data, and is transmitted to service server, and service server resolves and is stored in data base.
A kind of driver based on vehicle-mounted monitoring management platform the most according to claim 5 marks management
System, it is characterised in that: described scoring management module is further particularly as follows: for each bad steering
Behavior defines its scoring weight coefficient YN, and wherein, N is positive integer, and YN summation is 100%.
Its order of severity weight coefficient KN is defined for each bad steering behavior,
Its score calculates for individual event bad steering behavior:
In limiting time, take out all data being uploaded of single driver, show that vehicle is gone during this period
The milimeter number M sailed, and statistics number BN of every bad steering behavior, calculate that its individual event is bad drives
Sail the score of behavior: the individual event bad steering behavior score XN=(system of 100-individual event bad steering behavior
The order of severity weight coefficient KN of metering number BN*1000/ milimeter number M* individual event bad steering behavior) *
The scoring weight coefficient YN of individual event bad steering behavior.
According to the computational methods of described individual event bad steering behavior score, all of bad steering row is carried out
Calculate, and after addition together, obtain the scoring of driver, according to this scoring, driver is managed.
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| CN106779405A (en) * | 2016-12-14 | 2017-05-31 | 深圳市大东车慧科技股份有限公司 | A kind of driver's service ability analysis and assessment system and its application method |
| CN107730656A (en) * | 2017-09-29 | 2018-02-23 | 深圳市轱辘车联数据技术有限公司 | A kind of method and mobile unit of registration of vehicle oiling behavioral data |
| CN107742430A (en) * | 2017-11-08 | 2018-02-27 | 广东翼卡车联网服务有限公司 | A kind of driving behavior monitoring method, storage medium and car-mounted terminal |
| CN108454406A (en) * | 2018-02-24 | 2018-08-28 | 宁波科达仪表有限公司 | A kind of automobile instrument and method that can detect feedback healthy driving |
| CN109509047A (en) * | 2017-09-15 | 2019-03-22 | 北京嘀嘀无限科技发展有限公司 | Information providing method, information providing system and the computer installation of net about vehicle application |
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| CN112633673A (en) * | 2020-12-17 | 2021-04-09 | 广东天琴信息技术有限公司 | Driver assessment management method and device |
| CN114735008A (en) * | 2022-04-18 | 2022-07-12 | 中国第一汽车股份有限公司 | Driving behavior scoring method and device, electronic equipment and storage medium |
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Application publication date: 20160817 |