CN110667592A - Driver proficiency-based reminding method and cloud server - Google Patents

Driver proficiency-based reminding method and cloud server Download PDF

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Publication number
CN110667592A
CN110667592A CN201810709234.1A CN201810709234A CN110667592A CN 110667592 A CN110667592 A CN 110667592A CN 201810709234 A CN201810709234 A CN 201810709234A CN 110667592 A CN110667592 A CN 110667592A
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proficiency
information
driving
driver
reminding
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马智
王舒琴
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Shanghai Pateo Network Technology Service Co Ltd
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Shanghai Pateo Network Technology Service Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W40/00Estimation 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
    • B60W40/08Estimation 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
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W40/00Estimation 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
    • B60W40/08Estimation 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
    • B60W2040/0872Driver physiology

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

Abstract

The invention provides a method for reminding based on driving proficiency of a driver and a cloud server, wherein the method for reminding based on the driving proficiency of the driver is applied to the cloud server, and comprises the following steps: receiving driver data information sent by a vehicle in real time; processing according to the driver data information to obtain driving proficiency; generating corresponding reminding information according to the corresponding grade of the driving proficiency; and sending the reminding information to the vehicle so that the vehicle displays the reminding information. The reminding method based on the driving proficiency of the driver and the cloud server can identify the driving proficiency of the driver and carry out corresponding safety level reminding on the driver, so that safe and friendly driving experience is achieved, and the safety of driving a vehicle is improved.

Description

Driver proficiency-based reminding method and cloud server
Technical Field
The invention relates to the technical field of safe driving of vehicles, in particular to a method for reminding driver proficiency in driving and a cloud server.
Background
With the rapid development of economy, the quantity of automobiles kept is also continuously rising, so that the probability that people encounter safety problems in the process of driving the automobile is higher and higher, or the safety of the driver and related personnel is seriously threatened due to emergencies or negligence of the driver.
When the driving skills of drivers are not uniform, and the accelerator is mistakenly braked by a single driver due to tension, most drivers pull up the hand brake at the first time under the condition of emergency, but under the condition that the accelerator is stepped to the bottom, the engine can output the maximum power, and at the moment, the manual brake is almost impossible to work, so that the extremely serious result is often caused. Especially when the driver is a novice, because the driving proficiency of driving the vehicle is low, when the problem is met in the driving process, the novice driver can present a more tense state, errors can be caused in the driving process, and potential safety hazards exist.
In response to the above problems, those skilled in the art have sought solutions.
Disclosure of Invention
In view of this, the invention provides a method for reminding based on the driving proficiency of a driver and a cloud server, which can identify the driving proficiency of the driver and carry out corresponding safety level reminding on the driver, thereby achieving safe and friendly driving experience and improving the safety of driving vehicles.
The invention provides a method for reminding based on driving proficiency of a driver, which is applied to a cloud server and comprises the following steps: receiving driver data information sent by a vehicle in real time; processing according to the driver data information to obtain driving proficiency; generating corresponding reminding information according to the corresponding grade of the driving proficiency; and sending the reminding information to the vehicle so that the vehicle displays the reminding information.
Specifically, the driver data information includes body temperature information, heartbeat frequency information, hand strength information, and foot strength information; the step of obtaining driving proficiency according to the driver data information processing comprises: and weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to the proficiency model to obtain the driving proficiency.
Specifically, it is right according to the proficiency model body temperature information, heartbeat frequency information, hand strength information and foot strength information carry out the weighting processing and obtain still include before the step of driving proficiency: acquiring pre-stored historical data information of all drivers when driving the vehicle; and carrying out big data analysis on the historical data information to obtain the proficiency model.
Specifically, the step of generating corresponding warning information according to the corresponding grade of the driving proficiency includes: judging whether the driving proficiency is smaller than a preset proficiency; when the driving proficiency is smaller than the preset proficiency, the reminding information is generated; and returning to the step of judging whether the driving proficiency is less than the preset proficiency when the driving proficiency is greater than or equal to the preset proficiency.
Specifically, when the driving proficiency is less than the preset proficiency, then the step of generating the warning message includes: when the driving proficiency is within a first preset proficiency range, generating safety reminding information; when the driving proficiency is located the second preset proficiency range, then safety warning information and a light music control signal are generated, wherein the minimum proficiency of the first preset proficiency range is greater than the maximum proficiency of the second preset proficiency range.
The invention also provides a cloud server, comprising: a memory for storing executable program code; and a processor for invoking the executable program code in the memory to effect the step of prompting based on driver proficiency: receiving driver data information sent by a vehicle in real time; processing according to the driver data information to obtain driving proficiency; generating corresponding reminding information according to the corresponding grade of the driving proficiency; and sending the reminding information to the vehicle so that the vehicle displays the reminding information.
Specifically, the driver data information includes body temperature information, heartbeat frequency information, hand strength information, and foot strength information; the processor, the step of carrying out the driver proficiency obtained according to the driver data information processing comprises: and weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to the proficiency model to obtain the driving proficiency.
Specifically, the processor executes the step of weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to the proficiency model to obtain the driving proficiency, and further comprises the following steps of: acquiring pre-stored historical data information of all drivers when driving the vehicle; and carrying out big data analysis on the historical data information to obtain the proficiency model.
Specifically, the processor, executing the step of generating the corresponding reminding information according to the corresponding grade of the driving proficiency, includes: judging whether the driving proficiency is smaller than a preset proficiency; when the driving proficiency is smaller than the preset proficiency, the reminding information is generated; and returning to the step of judging whether the driving proficiency is less than the preset proficiency when the driving proficiency is greater than or equal to the preset proficiency.
Specifically, the processor executes the step of generating the warning message when the driving proficiency is less than the preset proficiency, and includes: when the driving proficiency is within a first preset proficiency range, generating safety reminding information; when the driving proficiency is located the second preset proficiency range, then safety warning information and a light music control signal are generated, wherein the minimum proficiency of the first preset proficiency range is greater than the maximum proficiency of the second preset proficiency range.
Specifically, the warning method and the high in the clouds server based on driver's driving proficiency that this embodiment provided obtains the driving proficiency that corresponds with the driver of vehicle through the analysis of the driving data information that sends the vehicle to corresponding warning information is generated according to the corresponding grade of driving proficiency, with the driving proficiency that can discern the driver, and carries out corresponding safety level to the driver and remind, thereby reach safe friendly driving experience, promote the security of driving the vehicle.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic flow chart of a reminding method based on the driving proficiency of a driver according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method of prompting based on the driving proficiency of a driver in accordance with a second embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method of prompting based on the driving proficiency of a driver in accordance with a third embodiment of the present invention;
FIG. 4 is a schematic flow chart of a fourth embodiment of the driver's driving proficiency based reminder method of the present invention;
fig. 5 is a schematic flow chart of a reminding method based on the driving proficiency of the driver according to a fifth embodiment of the present invention;
fig. 6 is a block diagram of a cloud server according to a sixth embodiment of the present invention.
Detailed Description
To further explain the technical means and effects of the present invention adopted to achieve the predetermined objects, the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.
Fig. 1 is a schematic flow chart of a reminding method based on the driving proficiency of a driver according to a first embodiment of the invention. The embodiment is a method for reminding based on driving proficiency of a driver, which is executed by a cloud server. As shown in fig. 1, the reminding method based on the driving proficiency of the driver of the present embodiment may include the steps of:
step S11: and receiving the driver data information sent by the vehicle in real time.
Specifically, in an embodiment, the vehicle can implement through the sensor that sets up on the driver's seat and gather driver data information to transmit driver data information to the car machine via the electronic control unit, the car machine uploads driver data information to the cloud server in real time.
Step S12: and (5) obtaining driving proficiency according to driver data information processing.
Specifically, in one embodiment, the cloud server performs analysis processing according to the received driver data information to obtain driving proficiency corresponding to the current driver of the vehicle. Specifically, in this embodiment, the high in the clouds server can utilize the proficiency model to carry out analysis processes to the driver data information who receives, and then can accurately obtain the driving proficiency that corresponds with the driver of vehicle.
Step S13: and generating corresponding reminding information according to the corresponding grade of the driving proficiency.
Specifically, in one embodiment, the cloud server may, but is not limited to, grade the driving proficiency of the driver of the vehicle, for example, when the driving proficiency is higher than or equal to a preset driving proficiency, it indicates that the driving ability of the driver of the vehicle is good and the tension of the driver is small; when the driving proficiency is less than preset driving proficiency, then indicate that the driver's of vehicle driving ability is relatively poor, driver's nervous degree is high, need carry out corresponding safety class's warning to the driver to promote the security that the driver drove the vehicle. Specifically, when the driving proficiency lies in the first predetermined proficiency scope, the cloud server can only generate safety reminding information and send the safety reminding information to the vehicle. When the car machine of vehicle received safety warning information, with safety warning information send to the automobile body controller to show safety warning information at the display screen of vehicle, perhaps carry out pronunciation broadcast safety warning information through the audio amplifier of vehicle, and then remind the driver, in order to promote the security of driving the vehicle. Specifically, when the driving proficiency is located the second and predetermines proficiency scope, the high in the clouds server generates safe warning information and light music control signal simultaneously to with safe warning information and light music control signal transmission to the vehicle, so that the display screen display of vehicle shows safe warning information, and the broadcast light music of control vehicle, in order to alleviate driver's nervous mood, promote the security of driving the vehicle.
Step S14: and sending the reminding information to the vehicle so that the vehicle displays the reminding information.
Specifically, in an embodiment, the cloud server sends the obtained reminding information to the vehicle, and the vehicle machine of the vehicle transmits the received reminding information to the vehicle body controller so as to control the display screen of the vehicle to display the reminding information, or control the vehicle to play the reminding information through voice, so as to achieve the safe reminding of the driver, and further improve the safety of driving the vehicle.
Fig. 2 is a schematic flow chart of a reminding method based on the driving proficiency of the driver according to a second embodiment of the invention. The embodiment is a method for reminding based on driving proficiency of a driver, which is executed by a cloud server. As shown in fig. 2, the reminding method based on the driving proficiency of the driver of the present embodiment may include the steps of:
step S21: and receiving the driver data information sent by the vehicle in real time.
Specifically, in an embodiment, the vehicle can implement through the sensor that sets up on the driver's seat and gather driver data information to transmit driver data information to the car machine via the electronic control unit, the car machine uploads driver data information to the cloud server in real time.
Specifically, in one embodiment, the driver data information may include, but is not limited to, body temperature information, heart rate information, hand strength information, and foot strength information.
Specifically, in the present embodiment, the body temperature information may be, but is not limited to, acquired in real time by an infrared temperature measuring instrument disposed in the vehicle. The heartbeat frequency information may be, but is not limited to being, collected in real time by a sensor disposed on a driving seat of the vehicle. The hand-holding strength information can be but is not limited to the strength of the driver's hand holding the steering wheel which is acquired by real-time acquisition through a strength sensor arranged on the steering wheel of the vehicle. The foot strength information can be but is not limited to be obtained by acquiring the strength of the pedal plate treaded by the driver in real time through a strength sensor arranged on the pedal plate.
Step S22: and weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to the proficiency model to obtain driving proficiency.
Specifically, in one embodiment, the body temperature, the heart rate, the hand strength and the foot strength of the driver are proportional to the stress level of the driver and inversely proportional to the driving proficiency. Specifically, in this embodiment, the high in the clouds server can utilize the proficiency model to obtain corresponding weighing coefficient respectively to body temperature information, heartbeat frequency information, hand strength information and foot strength information, corresponds body temperature information, heartbeat frequency information, hand strength information and foot strength information according to the corresponding weighing coefficient of body temperature information, heartbeat frequency information, hand strength information and foot strength information and carries out the weighted processing, and then can accurately obtain the driving proficiency that corresponds with the driver of vehicle. Wherein, the proficiency model can be obtained by the historical driver data information that the high in the clouds server sent to all vehicles advances big data analysis and establishes, and then can quantify the judgement to the driver data information that follow-up vehicle sent to corresponding driving proficiency is obtained to the accuracy.
Step S23: and generating corresponding reminding information according to the corresponding grade of the driving proficiency.
Specifically, in one embodiment, the cloud server may, but is not limited to, grade the driving proficiency of the driver of the vehicle, for example, when the driving proficiency is higher than or equal to a preset driving proficiency, it indicates that the driving ability of the driver of the vehicle is good and the tension of the driver is small; when the driving proficiency is less than preset driving proficiency, then indicate that the driver's of vehicle driving ability is relatively poor, driver's nervous degree is high, need carry out corresponding safety class's warning to the driver to promote the security that the driver drove the vehicle. Specifically, when the driving proficiency lies in the first predetermined proficiency scope, the cloud server can only generate safety reminding information and send the safety reminding information to the vehicle. When the car machine of vehicle received safety warning information, with safety warning information send to the automobile body controller to show safety warning information at the display screen of vehicle, perhaps carry out pronunciation broadcast safety warning information through the audio amplifier of vehicle, and then remind the driver, in order to promote the security of driving the vehicle. Specifically, when the driving proficiency is located the second and predetermines proficiency scope, the high in the clouds server generates safe warning information and light music control signal simultaneously to with safe warning information and light music control signal transmission to the vehicle, so that the display screen display of vehicle shows safe warning information, and the broadcast light music of control vehicle, in order to alleviate driver's nervous mood, promote the security of driving the vehicle.
Step S24: and sending the reminding information to the vehicle so that the vehicle displays the reminding information.
Specifically, in an embodiment, the cloud server sends the obtained reminding information to the vehicle, and the vehicle machine of the vehicle transmits the received reminding information to the vehicle body controller so as to control the display screen of the vehicle to display the reminding information, or control the vehicle to play the reminding information through voice, so as to achieve the safe reminding of the driver, and further improve the safety of driving the vehicle.
Referring to fig. 3, fig. 3 is a schematic flow chart of a reminding method based on the driving proficiency of the driver according to a third embodiment of the invention. As shown in fig. 2 and fig. 3, the method for reminding based on the driving proficiency of the driver according to the embodiment further includes the following steps before the step of weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to the proficiency model to obtain the driving proficiency:
step S31: history data information of all drivers when driving the vehicle, which is stored in advance, is acquired.
Specifically, in one embodiment, the cloud server stores the driving data information sent by each vehicle into the history list when receiving the driver data information sent by each vehicle.
Step S32: and carrying out big data analysis on the historical data information to obtain a proficiency model.
Specifically, in an embodiment, the high in the clouds server carries out big data analysis to all driver data information in the history list to establish the proficiency model, and then can accurately obtain the driver's of vehicle driving proficiency according to the driver data information of vehicle and proficiency model, thereby carry out corresponding security level and remind, reach safe friendly driving experience.
Referring to fig. 4, fig. 4 is a schematic flow chart of a reminding method based on the driving proficiency of the driver according to a fourth embodiment of the present invention. As shown in fig. 1 and fig. 4, the step of generating the corresponding reminding information according to the corresponding grade of the driving proficiency in the reminding method based on the driving proficiency of the driver provided by the embodiment includes:
step S41: whether the driving proficiency is less than the preset proficiency is judged.
Specifically, when the driving proficiency is less than the preset proficiency, step S42 is executed: and generating reminding information. When the driving proficiency is greater than or equal to the preset proficiency, the process returns to step S41.
Specifically, in an embodiment, the high in the clouds server is after the driving proficiency of the driver who obtains the vehicle, compares the driving proficiency with predetermine the proficiency to judge whether the driving proficiency is less than predetermine the proficiency. Specifically, when the driving proficiency of the driver of vehicle is less than preset proficiency, then show that the driving ability of the driver of vehicle is relatively poor, can be more nervous in the face of the driving problem of driving in-process, at this moment high in the clouds server generates warning information to control vehicle show warning information, thereby remind the driver to make corresponding measure, in order to promote the security of driving the vehicle.
Referring to fig. 5, fig. 5 is a schematic flow chart of a method for reminding based on the driving proficiency of the driver according to a fifth embodiment of the present invention. As shown in fig. 4 and 5, in the method for reminding based on the driving proficiency of the driver according to the present embodiment, when the driving proficiency is smaller than the preset proficiency, the step of generating the reminding information includes the following steps:
step S51: when the driving proficiency is within the first preset proficiency range, the safety reminding information is generated.
Specifically, in an embodiment, when the driving proficiency is located first predetermine proficiency scope, the high in the clouds server can only generate safe warning information to send safe warning information to the vehicle. When the car machine of vehicle received safety warning information, with safety warning information send to the automobile body controller to show safety warning information at the display screen of vehicle, perhaps carry out pronunciation broadcast safety warning information through the audio amplifier of vehicle, and then remind the driver, in order to promote the security of driving the vehicle.
Step S52: when the driving proficiency is within the second preset proficiency range, the safety reminding information and the light music control signal are generated.
Specifically, in an embodiment, when the driving proficiency is located the predetermined proficiency scope of second, the high in the clouds server generates safe warning information and light music control signal simultaneously to with safe warning information and light music control signal transmission to the vehicle, so that the display screen display of vehicle reminds information safely, and the broadcast light music of control vehicle, in order to alleviate driver's nervous mood, promote the security of driving the vehicle. Wherein, when the driving proficiency of the driver of the vehicle is in the first preset proficiency range, the driver of the vehicle is in a slightly tense state. When the driving proficiency of the driver of the vehicle is within the second preset proficiency range, the driver of the vehicle is indicated to be in a severe nervous state, wherein the minimum proficiency of the first preset proficiency range is greater than the maximum proficiency of the second preset proficiency range.
Referring to fig. 6, fig. 6 is a block diagram of a vehicle according to a sixth embodiment of the present invention. As shown in fig. 6, the cloud server 100 provided in this embodiment includes a memory 110 and a processor 120.
Specifically, in the present embodiment, the memory 110 is used to store executable program code. The processor 120 is used to invoke executable program code in the memory 110 to implement the steps of the driver's proficiency based reminder: receiving driver data information sent by a vehicle in real time; processing according to the driver data information to obtain driving proficiency; generating corresponding reminding information according to the corresponding grade of the driving proficiency; and sending the reminding information to the vehicle so that the vehicle displays the reminding information.
Specifically, in one embodiment, the driver data information includes body temperature information, heartbeat frequency information, hand strength information, and foot strength information.
Specifically, in one embodiment, the processor 120, performing the step of obtaining driving proficiency based on the driver data information processing, includes: and weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to the proficiency model to obtain driving proficiency.
Specifically, in one embodiment, the steps executed by the processor 120 before the step of weighting the body temperature information, the heartbeat frequency information, the hand strength information, and the foot strength information according to the proficiency model to obtain the driving proficiency include: acquiring pre-stored historical data information of all drivers when driving the vehicle; and carrying out big data analysis on the historical data information to obtain a proficiency model.
Specifically, in one embodiment, the processor 120, executing the step of generating the corresponding reminding information according to the corresponding grade of the driving proficiency, includes: judging whether the driving proficiency is smaller than a preset proficiency or not; when the driving proficiency is smaller than the preset proficiency, generating reminding information; and when the driving proficiency is greater than or equal to the preset proficiency, returning to the step of judging whether the driving proficiency is less than the preset proficiency.
Specifically, in one embodiment, when the driving proficiency is less than the preset proficiency, the processor 120 generates the reminding message including: when the driving proficiency is within the first preset proficiency range, generating safety reminding information; when the driving proficiency is within the second preset proficiency range, the safety reminding information and the light music control signal are generated.
For the specific process of implementing each function of each functional unit of the cloud server 100 in this embodiment, please refer to the specific contents described in the embodiments shown in fig. 1 to fig. 5, which is not described herein again.
Specifically, the warning method and the high in the clouds server based on driver's driving proficiency that this embodiment provided obtains the driving proficiency that corresponds with the driver of vehicle through the analysis of the driving data information that sends the vehicle to corresponding warning information is generated according to the corresponding grade of driving proficiency, with the driving proficiency that can discern the driver, and carries out corresponding safety level to the driver and remind, thereby reach safe friendly driving experience, promote the security of driving the vehicle.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, in which computer-executable instructions are stored, where the computer-readable storage medium is, for example, a non-volatile memory such as an optical disc, a hard disc, or a flash memory. The computer-executable instructions are used for making a computer or a similar arithmetic device complete various operations in the reminding method based on the driving proficiency of the driver.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the terminal class embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for relevant points, reference may be made to part of the description of the method embodiment.

Claims (10)

1. The method for reminding based on the driving proficiency of the driver is characterized in that the method for reminding based on the driving proficiency of the driver is applied to a cloud server, and comprises the following steps:
receiving driver data information sent by a vehicle in real time;
processing according to the driver data information to obtain driving proficiency;
generating corresponding reminding information according to the corresponding grade of the driving proficiency;
and sending the reminding information to the vehicle so that the vehicle displays the reminding information.
2. The method for reminding based on the driving proficiency of the driver according to claim 1, wherein the driver data information comprises body temperature information, heartbeat frequency information, hand strength information and foot strength information;
the step of obtaining driving proficiency according to the driver data information processing comprises:
and weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to the proficiency model to obtain the driving proficiency.
3. The method for reminding based on the driving proficiency of the driver according to claim 2, wherein the step of weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to a proficiency model to obtain the driving proficiency further comprises:
acquiring pre-stored historical data information of all drivers when driving the vehicle;
and carrying out big data analysis on the historical data information to obtain the proficiency model.
4. The method for reminding based on the driving proficiency of the driver according to claim 1, wherein the step of generating the corresponding reminding information according to the corresponding grade of the driving proficiency comprises:
judging whether the driving proficiency is smaller than a preset proficiency;
when the driving proficiency is smaller than the preset proficiency, the reminding information is generated;
and returning to the step of judging whether the driving proficiency is less than the preset proficiency when the driving proficiency is greater than or equal to the preset proficiency.
5. The method for reminding based on the driving proficiency of the driver according to claim 4, wherein when the driving proficiency is less than the preset proficiency, the step of generating the reminding message comprises:
when the driving proficiency is within a first preset proficiency range, generating safety reminding information;
when the driving proficiency is located the second preset proficiency range, then safety warning information and a light music control signal are generated, wherein the minimum proficiency of the first preset proficiency range is greater than the maximum proficiency of the second preset proficiency range.
6. A cloud server, the cloud server comprising:
a memory for storing executable program code; and
a processor for invoking the executable program code in the memory to effect the step of driver proficiency based reminder:
receiving driver data information sent by a vehicle in real time;
processing according to the driver data information to obtain driving proficiency;
generating corresponding reminding information according to the corresponding grade of the driving proficiency;
and sending the reminding information to the vehicle so that the vehicle displays the reminding information.
7. The cloud server of claim 6, wherein said driver data information includes body temperature information, heartbeat frequency information, hand strength information, and foot strength information;
the processor, the step of carrying out the driver proficiency obtained according to the driver data information processing comprises:
and weighting the body temperature information, the heartbeat frequency information, the hand strength information and the foot strength information according to the proficiency model to obtain the driving proficiency.
8. The cloud server of claim 7, wherein said processor, prior to performing said step of weighting said body temperature information, heart rate information, hand strength information, and foot strength information according to a proficiency model to obtain said driving proficiency, further comprises:
acquiring pre-stored historical data information of all drivers when driving the vehicle;
and carrying out big data analysis on the historical data information to obtain the proficiency model.
9. The cloud server of claim 6, wherein said processor, performing said step of generating respective alert messages according to corresponding grades of said driving proficiency comprises:
judging whether the driving proficiency is smaller than a preset proficiency;
when the driving proficiency is smaller than the preset proficiency, the reminding information is generated;
and returning to the step of judging whether the driving proficiency is less than the preset proficiency when the driving proficiency is greater than or equal to the preset proficiency.
10. The cloud server of claim 9, wherein said processor, when said driving proficiency is less than said preset proficiency, then generating said alert message comprises:
when the driving proficiency is within a first preset proficiency range, generating safety reminding information;
when the driving proficiency is located the second preset proficiency range, then safety warning information and a light music control signal are generated, wherein the minimum proficiency of the first preset proficiency range is greater than the maximum proficiency of the second preset proficiency range.
CN201810709234.1A 2018-07-02 2018-07-02 Driver proficiency-based reminding method and cloud server Pending CN110667592A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103359022A (en) * 2012-03-27 2013-10-23 哈尔滨工业大学深圳研究生院 OBD (on-board diagnostics) system based cloud service system
CN104608770A (en) * 2014-12-29 2015-05-13 深圳市元征科技股份有限公司 Method and related equipment for monitoring driving state
US20160101728A1 (en) * 2014-10-13 2016-04-14 MY E.G. Services Berhad Method and system for improving road safety
CN106985824A (en) * 2017-03-28 2017-07-28 安徽师范大学 Driving characteristics information acquisition system
CN107316436A (en) * 2017-07-31 2017-11-03 努比亚技术有限公司 Dangerous driving state processing method, electronic equipment and storage medium
CN107757471A (en) * 2017-09-30 2018-03-06 上海爱优威软件开发有限公司 Safe driving prompting method and mobile terminal

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103359022A (en) * 2012-03-27 2013-10-23 哈尔滨工业大学深圳研究生院 OBD (on-board diagnostics) system based cloud service system
US20160101728A1 (en) * 2014-10-13 2016-04-14 MY E.G. Services Berhad Method and system for improving road safety
CN104608770A (en) * 2014-12-29 2015-05-13 深圳市元征科技股份有限公司 Method and related equipment for monitoring driving state
CN106985824A (en) * 2017-03-28 2017-07-28 安徽师范大学 Driving characteristics information acquisition system
CN107316436A (en) * 2017-07-31 2017-11-03 努比亚技术有限公司 Dangerous driving state processing method, electronic equipment and storage medium
CN107757471A (en) * 2017-09-30 2018-03-06 上海爱优威软件开发有限公司 Safe driving prompting method and mobile terminal

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