CN116279559A - Healthy driving management early warning method, system, storage medium and equipment - Google Patents

Abstract

The invention provides a healthy driving management early warning method, a system, a storage medium and equipment, wherein the method comprises the following steps: acquiring vehicle information under a preset condition; comparing the vehicle information with a preset precondition, and judging whether the vehicle information meets the preset precondition or not; if yes, judging whether the driver drives healthily according to the vehicle information through a preset rule corresponding to a preset precondition; if not, the corresponding early warning information is sent to the driver so that the driver receives the early warning information and judges whether the early warning information is correct or not; acquiring feedback information of a driver; if the feedback information is wrong, storing the early warning process information into a database, optimizing preset rule information according to a preset method, and executing the step of acquiring vehicle information under preset conditions; if the feedback information is correct, the early warning flow information is stored in a database. The invention solves the problems that the early warning method in the prior art can not judge whether the driver is in normal driving or not and can not automatically optimize the early warning condition.

Description

Healthy driving management early warning method, system, storage medium and equipment

Technical Field

The invention relates to the technical field of automobile driving early warning, in particular to a healthy driving management early warning method, a system, a storage medium and equipment.

Background

As the living standard of residents increases, the number of motor vehicles increases sharply. However, the behavior of the automobile driver is difficult to restrict, the loss of the vehicle and the driving safety influence are different due to different driving habits, and it is particularly important to evaluate the irregularity and the danger of the driving behavior.

Currently, in the prior art, a mode of shooting road conditions by a camera is provided, the shot road conditions are analyzed and judged to determine the running condition of an automobile, the driving safety degree of the automobile is further judged, and early warning information is transmitted according to the safety degree.

However, the early warning mode can only judge the driving safety of the vehicle through road conditions, and cannot judge early warning according to whether the driver is in normal driving or not, so that the driver cannot correct driving habits, and the driving experience is influenced by regular early warning; in addition, the early warning condition of this early warning judging mode is set, if erroneous judgment appears, the early warning condition can not be optimized automatically, and the driving experience of the driver can be influenced by frequent erroneous judgment.

Disclosure of Invention

Based on the above, the invention aims to provide a healthy driving management early warning method, a healthy driving management early warning system, a healthy driving management early warning storage medium and healthy driving management early warning equipment, and aims to solve the problems that an early warning method in the prior art cannot judge whether a driver is driving normally or not and cannot automatically optimize early warning conditions.

According to the embodiment of the invention, the method comprises the following steps:

under a preset condition, acquiring vehicle information;

comparing the vehicle information with a preset precondition, and judging whether the vehicle information meets the preset precondition or not;

if yes, judging whether the driver drives healthily according to the vehicle information through a preset rule corresponding to the preset precondition;

if the driver does not have healthy driving, corresponding early warning information is sent to the driver so that the driver receives the early warning information and judges whether the early warning information is correct or not;

acquiring feedback information of the driver;

if the feedback information is wrong, the early warning flow information is stored in a database, the preset rule information is optimized according to a preset method, and the step of acquiring vehicle information under the preset condition is executed;

if the feedback information is correct, the early warning flow information is stored in the database.

In addition, the healthy driving management early warning method according to the embodiment of the invention can also have the following additional technical characteristics:

further, the preset rule includes:

dividing the vehicle information according to a preset period to obtain periodic vehicle information in a plurality of preset period times;

comparing the periodic vehicle information with a preset rule base, and judging whether the vehicle information meets the condition of the preset rule base or not;

and if the adjacent preset number of periodic vehicle information meets the conditions of the preset rule base, determining that the driver does not have healthy driving.

Further, the step of comparing the periodic vehicle information with a preset rule base and judging whether the vehicle information meets the preset rule base further comprises the steps of;

comparing the periodic vehicle information with a preset reset condition library;

if any one of the adjacent preset number of periodic vehicle information meets the condition of the preset reset condition library, executing the step of acquiring the vehicle information under the preset condition;

and if the adjacent preset number of periodic vehicle information meets the conditions of the preset rule base and does not meet the conditions of the preset reset condition base, determining that the driver does not have healthy driving.

Further, if the feedback information is wrong, storing the early warning process information into a database, optimizing the preset rule information according to a preset method, and executing the step of acquiring the vehicle information under the preset condition comprises the following steps:

if the feedback information is wrong, the early warning flow information is stored in a database, and early warning accuracy in the database is obtained;

if the early warning accuracy is smaller than 90%, optimizing the preset rule according to a preset method;

the preset method comprises the following steps:

increasing the value of the preset number in the preset rule by X;

x is the number of times for obtaining the correct early warning correct rate in the database.

Further, the preset rule base includes:

overspeed judging rules, wherein the speed of the vehicle is above a first preset speed of the vehicle and the duration time of the overspeed judging rules is above a first preset time;

the rapid acceleration judging rule is that the vehicle speed is smaller than a second preset vehicle speed and the longitudinal acceleration is larger than a first preset acceleration;

and the idle speed overlength judging rule is that the vehicle speed is smaller than a third preset vehicle speed, and meanwhile, the rotating speed of the engine is above the first preset rotating speed and the duration time is above the second preset time.

Further, if the feedback information is an error, the step of storing the early warning process information into a database and obtaining the early warning accuracy in the database includes:

if the early warning accuracy is more than 90% and less than 97%, optimizing the preset rule base according to a second preset method;

the second preset method comprises the following steps:

and multiplying the preset parameters except for time in the preset rule base by preset values to obtain new preset parameters.

Further, if the feedback information is correct, the step of storing the early warning flow information into the database includes:

acquiring correct early warning information of the vehicle corresponding to the feedback information in a preset number of days and generating a report;

acquiring report time for last sending the report to the corresponding vehicle;

and if the report time is greater than the preset days, sending the report to the corresponding vehicle.

Another object of the present invention is to provide a system for managing and early warning healthy driving of a driver, the system comprising:

the information acquisition module is used for acquiring vehicle information under preset conditions;

the comparison module is used for comparing the vehicle information with a preset precondition and judging whether the vehicle information meets the preset precondition or not;

the judging module is used for judging whether a driver drives in a healthy mode according to the vehicle information through a preset rule corresponding to the preset precondition when the vehicle information is detected to meet the preset precondition;

the early warning module is used for sending corresponding early warning information to the driver when the fact that the driver does not drive healthily is detected according to the vehicle information through the preset rule, so that the driver receives the early warning information and judges whether the early warning information is correct or not;

the feedback module is used for acquiring feedback information of the driver;

the optimizing module is used for storing the early warning flow information into a database when the feedback information is detected to be wrong, optimizing the preset rule information according to a preset method, and executing the step of acquiring the vehicle information under the preset condition;

and the storage module is used for storing the early warning flow information into the database when the feedback information is detected to be correct.

Another object of an embodiment of the present invention is to provide a storage medium having a computer program stored thereon, wherein the program when executed by a processor implements the steps of the healthy driving management and early warning method described above.

Another object of the embodiment of the present invention is to provide an apparatus, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the steps of the healthy driving management early warning method described above when executing the program.

According to the method, the speed, the engine speed, the acceleration and the gear condition of the automobile are obtained by obtaining the automobile information, the information is judged according to the preset rules, whether the automobile is in overspeed driving, idling driving, sharp turning and the like is obtained, whether the driving behavior of a driver is standard is judged, early warning information is sent out, if the driving behavior is judged to be wrong, after a signal of the driver with wrong early warning information is received, the preset rules are further improved according to the preset method, so that the preset rules are more accurate, and the sending times of wrong early warning information are reduced or even eliminated. Compared with the prior art, the method determines the driving safety of the vehicle by shooting road conditions, judges the driving condition of the vehicle by vehicle information, so as to deduce whether the driver is driving normally, and then early-warning the driver in time to avoid possible sent accidents, and the driver can pay attention to and improve the driving behavior after early warning, so that the later early-warning times can be reduced, and good driving experience is provided for the driver; in addition, the preset rule is improved through the preset method, so that the early warning accuracy is higher, the early warning is prevented from being carried out frequently due to repeated early warning misjudgment, and the driving experience of a driver is improved.

Drawings

FIG. 1 is a flowchart of a healthy driving management early warning method according to a first embodiment of the present invention;

FIG. 2 is a schematic diagram of the result of a healthy driving management and early warning system according to a second embodiment of the present invention;

FIG. 3 is a schematic view of the apparatus in a third embodiment of the present invention;

the invention will be further described in the following detailed description in conjunction with the above-described figures.

Detailed Description

In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Several embodiments of the invention are presented in the figures. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

It will be understood that when an element is referred to as being "mounted" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.

Example 1

Referring to fig. 1, a method for healthy driving management and early warning in a first embodiment of the present invention is shown, and the method specifically includes steps S01-S07.

Step S01, acquiring vehicle information under a preset condition;

the preset conditions include: the vehicle is in a awakened state, the cloud communication of the vehicle is normal, and the vehicle can normally acquire the vehicle information. The vehicle information includes: the vehicle road conditions, the vehicle speed information, the longitudinal acceleration information, the power-on state, the running time, the engine state, the engine rotation speed information, the gear information, the clutch information, the accelerator information and the steering wheel information of the automobile.

When the method is implemented, firstly, the communication on the vehicle is ensured to be normal, the vehicle is in a wake-up state, then, the sensors for collecting various information on the vehicle are ensured to be normal, various information on the vehicle is collected through the sensors on the vehicle body, collected through a bus and then sent to the TBOX of the vehicle, the TBOX screens and filters the total information according to the information required by the preset rule, and the screened and filtered information is the vehicle information.

Step S02, comparing the vehicle information with a preset precondition, and judging whether the vehicle information meets the preset precondition or not;

in specific implementation, preset preconditions of various irregular driving conditions are different, for example, a user only needs to confirm that vehicle cloud communication is normal, idle speed is too long, whether an engine is started, whether the vehicle cloud communication is normal and whether a vehicle is in a power-on state are confirmed, and preliminary screening of data is carried out through the preconditions, so that corresponding data respectively carry out judgment of preset rules corresponding to the irregular driving conditions, and the judgment of the preset rules is quicker and more accurate.

The preset preconditions include:

idle speed is too long, and the pre-condition is as follows: the vehicle cloud communication is normal, the engine is started, and the power supply is in a power-on state;

neutral coasting, precondition: the vehicle cloud communication is normal;

parking throttle, pre-condition: the vehicle cloud communication is normal, the engine is started, and the power supply is in a power-on state;

rapid acceleration, precondition: the vehicle cloud communication is normal, and the power supply is in a power-on state;

rapid deceleration, precondition: the vehicle cloud communication is normal, and the power supply is in a power-on state;

fatigue driving, pre-condition: the vehicle cloud communication is normal;

overspeed, precondition: the vehicle cloud communication is normal, and the power supply is in a power-on state;

sharp turns, precondition: and the vehicle cloud communication is normal, and the power supply is in a power-on state.

Step S03, if so, judging whether the driver drives healthily according to the vehicle information through a preset rule corresponding to the preset precondition;

specifically, the preset rule includes: dividing the vehicle information according to a preset period to obtain periodic vehicle information in a plurality of preset period times; comparing the periodic vehicle information with a preset rule base, and judging whether the vehicle information meets the preset rule base or not; and if the adjacent preset number of periodic vehicle information meets the conditions of the preset rule base, determining that the driver does not have healthy driving.

According to the difference of different driving condition judging rules, the preset period is correspondingly different in different driving condition judging, for example, the preset period is not less than 300 seconds in the idle speed overlong judging rule, the preset period is not less than 5 seconds in the fatigue neutral gear sliding judging, and the accuracy of early warning judgment is improved through judging through multiple groups of adjacent preset number of period vehicle information together. In addition, the adjacent preset periods are preset periods with the start-stop time different by preset time, for example, the start-stop time of one preset period is greater than the start-stop time of the other preset period by 60 seconds, the two preset periods are adjacent preset periods, and in actual use, the start-stop time of most of the adjacent preset periods of the preset rules of abnormal driving states is different by 30 seconds, wherein the adjacent preset periods of the preset rules of fatigue driving are 20 minutes.

In addition, when the periodic vehicle information is compared with a preset rule base, the periodic vehicle information is also required to be compared with a preset reset condition base;

if any one of the adjacent preset number of periodic vehicle information meets the condition of the preset reset condition library, executing the step of acquiring the vehicle information under the preset condition;

and if the adjacent preset number of periodic vehicle information meets the conditions of the preset rule base and does not meet the conditions of the preset reset condition base, determining that the driver does not have healthy driving.

The false judgment of the early warning of the vehicle is not completely confirmed by the driver, and the false judgment can be confirmed by the driver, namely if the reset adjustment is satisfied, the early warning judgment is false, so that the frequency of disturbing the driver is reduced.

It should be noted that, by way of example and not limitation, in some alternative embodiments, the preset rule base includes:

the idle speed overlength judging rule is that the vehicle speed is less than 1km/h, the engine speed is 200rpm, the duration is more than 300s, and the idle speed is recorded overlength times;

neutral gear sliding judgment rules, wherein the vehicle speed is more than 1km/h, the gear is N gear, the duration is more than 5s, or the vehicle speed is more than 1km/h, the clutch switch is on, the duration is more than 5s, and the neutral gear sliding is recorded;

the judging rule of the parking bombing throttle detects that the vehicle speed is continuously less than 1km/h in the 1-time changing process (returning to 0% from more than 0%) of the accelerator pedal position, the engine rotating speed is continuously more than 200rpm, the gear is continuously neutral, and the vehicle speed is recorded as a parking bombing throttle event;

a rapid acceleration judgment rule, wherein the vehicle speed is less than 5m/s and the longitudinal acceleration is more than 2m/s ² ；

A rapid deceleration judgment rule, wherein the vehicle speed is less than 5m/s and the longitudinal acceleration is less than 2m/s ² ；

The fatigue driving judgment rule detects that the vehicle runs, the speed is more than 1km/h, the timing is started, the speed change is continuously detected, the time t1 when the speed is less than 1km/h is recorded, if the speed is less than 1km/h and continuously exceeds 20min, the timing is stopped, and the continuous driving duration is considered to be t1; if the duration time of the vehicle speed less than 1km/h is less than or equal to 20min, continuing to count time, wherein the rest time is too short to ignore until the continuous driving time is ended; the continuous driving time is 4 hours so as to record fatigue driving;

overspeed judging rules, wherein the speed of the vehicle is more than 120km/h and the duration time is more than 10 seconds;

and (3) determining rules of sharp turns, detecting that the vehicle runs, the speed is greater than 30km/h, the steering wheel angle is greater than 90deg, the steering wheel angle acceleration is greater than 100deg/s, and recording a sharp turn.

The preset reset adjustment library comprises:

the idle speed is over long under the reset condition, the speed is more than 1km/h or the engine speed is less than 200rpm;

under neutral gear sliding reset conditions, the vehicle speed is less than 1km/h or the gear is not the N gear, or the vehicle speed is less than 1km/h or the clutch switch is off;

the speed of the vehicle is greater than 1km/h under the condition of resetting the parking bombing throttle, or the engine speed is lower than 200rpm, or the gear is a non-neutral gear;

under the condition of rapid acceleration and reset, the speed of the vehicle is more than 5m/s;

under the condition of rapid deceleration reset, the speed of the vehicle is less than 5m/s;

the fatigue driving is reset, the speed of the vehicle is less than 1km/h, and the duration exceeds 20min;

under the overspeed reset condition, the speed of the vehicle is less than 100km/h;

a sharp turn reset condition, a vehicle speed less than 20km/h, or a steering wheel turning less than 90deg;

it should be noted that, the judging numerical ranges of the preset rule base and the preset reset adjustment base are merely illustrative and not limited, for example, overspeed judging rule, the vehicle speed in the city is judged to be more than 70km/h, the vehicle speed in the national road is judged to be more than 60km/h, and environmental judgment such as foggy weather condition is also included. Other rule conditions are not listed. In the specific implementation, the vehicle road condition and the environment information are synchronously acquired when the vehicle information is acquired, and then the driving condition of the vehicle is judged according to the rule of the corresponding vehicle road condition and the environment information.

Step S04, if the driver does not have healthy driving, corresponding early warning information is sent to the driver so that the driver receives the early warning information and judges whether the early warning information is correct or not;

specifically, the early warning information is sent to a vehicle system through cloud vehicle communication, and specifically comprises overspeed early warning, sharp turning early warning, fatigue driving early warning and the like.

Step S05, obtaining feedback information of the driver;

step S06, if the feedback information is wrong, the early warning flow information is stored in a database, the preset rule information is optimized according to a preset method, and the step of acquiring the vehicle information under the preset condition is executed;

specifically, if the feedback information is wrong, the early warning flow information is stored in a database, and the early warning accuracy in the database is obtained;

if the early warning accuracy is smaller than 90%, optimizing the preset rule according to a preset method;

the preset method comprises the following steps: increasing the value of the preset number in the preset rule by X;

x is the number of times for obtaining the correct early warning correct rate in the database.

In addition, the preset rule is optimized by simply adding the selected adjacent number of periodic vehicle information, and the optimization method is not accurate and perfect enough. If the early warning accuracy is more than 90% and less than 97%, optimizing the preset rule base according to a second preset method; the second preset method comprises the following steps: and multiplying the preset parameters except for time in the preset rule base by preset values to obtain new preset parameters. Specifically, for example, if the early warning is wrong, the vehicle speed range in the overspeed judging rule is multiplied by 105%, that is, the vehicle speed is more than 126km/h and the duration is more than 10 seconds, the overspeed judging rule is changed to detect that the vehicle runs, the vehicle speed is more than 31.5km/h, the steering wheel angle is more than 94.5deg, the steering wheel angle acceleration is more than 105deg/s, the overspeed judging rule is recorded, other judging rules are correspondingly adjusted, the range multiplied by 105% is only exemplified, specific numerical values can be correspondingly adjusted according to the difference of the judging rules, and the time range of the judging conditions is not modified.

The two optimization methods of the preset rules are sequentially carried out, namely, the preset rules are optimized by adding the selected adjacent number of periodic vehicle information, so that the early warning accuracy of the preset rules reaches 90%, and then the early warning accuracy is further improved by improving the condition range of the judgment rules.

And S07, if the feedback information is correct, storing the early warning flow information into the database.

Because whether the preset rule is optimized according to the preset method is judged according to the early warning accuracy in the existing database, statistics of early warning positive and error information is needed, and the early warning accuracy is updated and calculated in real time.

Further after this step, it further comprises:

acquiring correct early warning information of the vehicle corresponding to the feedback information in a preset number of days and generating a report;

acquiring report time for last sending the report to the corresponding vehicle;

and if the report time is greater than the preset days, sending the report to the corresponding vehicle.

Through the feedback early warning report, the driver can accurately know which driving is not standard in the preset days, and then adjusts the driver, so that the driving of the driver is more standard, and the driving early warning times are reduced.

In summary, in the healthy driving management early warning method in the above embodiment of the present invention, information such as speed, engine speed, acceleration, gear condition, etc. of an automobile is obtained by obtaining vehicle information, and then these information are judged according to preset rules to obtain whether the automobile is driving at overspeed, driving at idle, turning at a sharp corner, etc., and further judge whether the driving behavior of a driver is normal, so as to send early warning information, if the driving behavior is judged to be wrong, after receiving a signal of the driver early warning information error, the preset rules are further improved according to the preset method, so that the preset rules are more accurate, and further reduce or even eliminate the number of times of sending wrong early warning information. Compared with the prior art, the method determines the driving safety of the vehicle by shooting road conditions, judges the driving condition of the vehicle by vehicle information, so as to deduce whether the driver is driving normally, and then early-warning the driver in time to avoid possible sent accidents, and the driver can pay attention to and improve the driving behavior after early warning, so that the later early-warning times can be reduced, and good driving experience is provided for the driver; in addition, the preset rule is improved through the preset method, so that the early warning accuracy is higher, the early warning is prevented from being carried out frequently due to repeated early warning misjudgment, and the driving experience of a driver is improved.

Example two

Referring to fig. 2, a block diagram of a driver healthy driving management and early warning system according to a third embodiment of the present invention is shown, and the driver healthy driving management and early warning system 200 includes: the system comprises an information acquisition module 21, a comparison module 22, a judgment module 23, an early warning module 24, a feedback module 25, an optimization module 26 and a storage module 27, wherein:

an information acquisition module 21 for acquiring vehicle information under a preset condition;

a comparison module 22, configured to compare the vehicle information with a preset precondition, and determine whether the vehicle information meets the preset precondition;

a judging module 23, configured to judge whether a driver is driving healthily according to the vehicle information by a preset rule corresponding to the preset precondition adjustment when it is detected that the vehicle information satisfies the preset precondition;

the early warning module 24 is configured to send corresponding early warning information to a driver when it is detected that the driver does not drive healthily according to the vehicle information and the preset rule is passed, so that the driver receives the early warning information and determines whether the early warning information is correct;

a feedback module 25, configured to obtain feedback information of the driver;

the optimizing module 26 is configured to store the pre-warning process information in a database when the feedback information is detected to be incorrect, optimize the preset rule information according to a preset method, and execute the step of acquiring vehicle information under the preset condition;

and the storage module 27 is used for storing the early warning process information into the database when the feedback information is detected to be correct.

Further, the judging module 23 includes:

the dividing unit is used for dividing the vehicle information according to a preset period to obtain periodic vehicle information in a plurality of preset period times;

the comparison unit is used for comparing the periodic vehicle information with a preset rule base and judging whether the vehicle information meets the preset rule base or not;

and the judging unit is used for determining that the driver does not have healthy driving when the adjacent preset number of periodic vehicle information meet the conditions of the preset rule base.

Further, in other embodiments of the present invention, the alignment unit includes:

the comparison subunit is used for comparing the periodic vehicle information with a preset reset condition library;

a resetting subunit, configured to execute the step of acquiring vehicle information under the preset condition when any one of the conditions of the preset resetting condition library is satisfied when a preset number of the periodic vehicle information are adjacent;

and the judging subunit is used for determining that the driver does not have healthy driving when the adjacent preset number of periodic vehicle information all meet the conditions of the preset rule base and do not meet the conditions of the preset reset condition base.

Further, the optimizing module 26 includes:

the acquisition unit is used for storing the early warning flow information into a database when the feedback information is wrong, and acquiring early warning accuracy in the database;

and the first optimizing unit is used for optimizing the preset rule according to a preset method when the early warning accuracy is smaller than 90%.

Further, the optimizing module 26 further includes:

the second optimizing unit is used for optimizing the preset rule base according to a second preset method when the early warning accuracy is more than 90% and less than 97%;

further, the driver healthy driving management and early warning system 200 further includes:

the report module is used for acquiring the correct early warning information of the vehicle corresponding to the feedback information in the preset days and generating a report;

the time module is used for acquiring report time for last sending the report to the corresponding vehicle;

the report feedback module is used for sending the report to the corresponding vehicle if the report time is greater than the preset days

The functions or operation steps implemented when the above modules are executed are substantially the same as those in the above method embodiments, and are not described herein again.

Example III

In another aspect, referring to fig. 3, a schematic diagram of an electronic device according to a third embodiment of the present invention is provided, including a memory 20, a processor 10, and a computer program 30 stored in the memory and capable of running on the processor, where the processor 10 implements a method for converting a two-dimensional drawing into a three-dimensional model for drawing review as described above when executing the computer program 30.

The processor 10 may be, among other things, a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor or other data processing chip for running program code or processing data stored in the memory 20, e.g. executing an access restriction program or the like, in some embodiments.

The memory 20 includes at least one type of readable storage medium including flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 20 may in some embodiments be an internal storage unit of the electronic device, such as a hard disk of the electronic device. The memory 20 may also be an external storage device of the electronic device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like. Further, the memory 20 may also include both internal storage units and external storage devices of the electronic device. The memory 20 may be used not only for storing application software of an electronic device and various types of data, but also for temporarily storing data that has been output or is to be output.

It should be noted that the structure shown in fig. 3 does not constitute a limitation of the electronic device, and in other embodiments the electronic device may comprise fewer or more components than shown, or may combine certain components, or may have a different arrangement of components.

The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the method for converting the two-dimensional drawing into the three-dimensional model for drawing examination.

Those of skill in the art will appreciate that the logic and/or steps represented in the flow diagrams or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The foregoing examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (10)

1. The healthy driving management early warning method is characterized by comprising the following steps:

under a preset condition, acquiring vehicle information;

comparing the vehicle information with a preset precondition, and judging whether the vehicle information meets the preset precondition or not;

if yes, judging whether the driver drives healthily according to the vehicle information through a preset rule corresponding to the preset precondition;

if the driver does not have healthy driving, corresponding early warning information is sent to the driver so that the driver receives the early warning information and judges whether the early warning information is correct or not;

acquiring feedback information of the driver;

if the feedback information is wrong, the early warning flow information is stored in a database, the preset rule information is optimized according to a preset method, and the step of acquiring vehicle information under the preset condition is executed;

if the feedback information is correct, the early warning flow information is stored in the database.

2. The healthy driving management warning method according to claim 1, wherein the preset rule includes:

dividing the vehicle information according to a preset period to obtain periodic vehicle information in a plurality of preset period times;

comparing the periodic vehicle information with a preset rule base, and judging whether the vehicle information meets the condition of the preset rule base or not;

and if the adjacent preset number of periodic vehicle information meets the conditions of the preset rule base, determining that the driver does not have healthy driving.

3. The healthy driving management warning method according to claim 2, characterized in that the step of comparing the periodic vehicle information with a preset rule base and judging whether the vehicle information satisfies the preset rule base further comprises;

comparing the periodic vehicle information with a preset reset condition library;

if any one of the adjacent preset number of periodic vehicle information meets the condition of the preset reset condition library, executing the step of acquiring the vehicle information under the preset condition;

and if the adjacent preset number of periodic vehicle information meets the conditions of the preset rule base and does not meet the conditions of the preset reset condition base, determining that the driver does not have healthy driving.

4. The healthy driving management and early warning method according to claim 2, wherein if the feedback information is wrong, storing the early warning process information into a database, optimizing the preset rule information according to a preset method, and executing the step of acquiring the vehicle information under the preset condition comprises:

if the feedback information is wrong, the early warning flow information is stored in a database, and early warning accuracy in the database is obtained;

if the early warning accuracy is smaller than 90%, optimizing the preset rule according to a preset method;

the preset method comprises the following steps:

increasing the value of the preset number in the preset rule by X;

x is the number of times for obtaining the correct early warning correct rate in the database.

5. The healthy driving management warning method according to claim 2, wherein the preset rule base comprises:

overspeed judging rules, wherein the speed of the vehicle is above a first preset speed of the vehicle and the duration time of the overspeed judging rules is above a first preset time;

the rapid acceleration judging rule is that the vehicle speed is smaller than a second preset vehicle speed and the longitudinal acceleration is larger than a first preset acceleration;

and the idle speed overlength judging rule is that the vehicle speed is smaller than a third preset vehicle speed, and meanwhile, the rotating speed of the engine is above the first preset rotating speed and the duration time is above the second preset time.

6. The healthy driving management and early warning method according to claim 4, wherein the step of storing the early warning process information in a database and obtaining the early warning accuracy in the database if the feedback information is wrong comprises:

if the early warning accuracy is more than 90% and less than 97%, optimizing the preset rule base according to a second preset method;

the second preset method comprises the following steps:

and multiplying the preset parameters except for time in the preset rule base by preset values to obtain new preset parameters.

7. The healthy driving management and early warning method according to claim 1, wherein the step of storing the early warning process information into the database if the feedback information is correct comprises:

acquiring correct early warning information of the vehicle corresponding to the feedback information in a preset number of days and generating a report;

acquiring report time for last sending the report to the corresponding vehicle;

and if the report time is greater than the preset days, sending the report to the corresponding vehicle.

8. A driver healthy driving management early warning system, the system comprising:

the information acquisition module is used for acquiring vehicle information under preset conditions;

the comparison module is used for comparing the vehicle information with a preset precondition and judging whether the vehicle information meets the preset precondition or not;

the judging module is used for judging whether a driver drives in a healthy mode according to the vehicle information through a preset rule corresponding to the preset precondition when the vehicle information is detected to meet the preset precondition;

the early warning module is used for sending corresponding early warning information to the driver when the fact that the driver does not drive healthily is detected according to the vehicle information through the preset rule, so that the driver receives the early warning information and judges whether the early warning information is correct or not;

the feedback module is used for acquiring feedback information of the driver;

the optimizing module is used for storing the early warning flow information into a database when the feedback information is detected to be wrong, optimizing the preset rule information according to a preset method, and executing the step of acquiring the vehicle information under the preset condition;

and the storage module is used for storing the early warning flow information into the database when the feedback information is detected to be correct.

9. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the healthy driving management warning method according to any one of claims 1 to 7.

10. An apparatus comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the healthy ride management warning method of any one of claims 1-7 when the program is executed.

Images