CN112572330A - Risk driving behavior recognition system, method and device and storage medium - Google Patents
Risk driving behavior recognition system, method and device and storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0237—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems circuits concerning the atmospheric environment
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Abstract
The invention discloses a risk driving behavior recognition system, a method, a device and a storage medium, wherein the system comprises a vehicle diagnosis module, a satellite positioning module and a driving behavior analysis module; the vehicle diagnosis module is used for acquiring the working state data of a wiper of a vehicle and determining the weather condition according to the working state data of the wiper; the satellite positioning module is used for acquiring position data of the vehicle and speed data of the vehicle; the driving behavior analysis module is used for identifying whether the current driving behavior is a risk driving behavior according to the weather condition, the position data and the speed data. The invention analyzes the driving behavior of the vehicle by combining the weather condition, so that the analysis result is more accurate and perfect, the occurrence of road accidents is favorably reduced, and the premium expenditure of insurance companies can be further reduced. The invention can be widely applied to the technical field of automobiles.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a system, a method and a device for identifying dangerous driving behaviors and a storage medium.
Background
In order to accurately judge whether the driver has driving behaviors which are unfavorable for safety or fuel economy, such as rapid acceleration or rapid deceleration, the driving behaviors of the driver need to be monitored and managed, and the driving behaviors are generally analyzed by collecting vehicle driving data; in the prior art, a patent document with publication number CN104590275A discloses a driving behavior analysis method, which includes that a plurality of vehicle-mounted terminals respectively count average stationarity values of vehicle driving on each road section, and when historical statistics times of the average stationarity values reach a preset specification value, the average stationarity values serve as a basis for classifying the driving behaviors of the current vehicle driver, so that the driving behaviors of the driver are classified into smooth driving, ordinary driving and risk driving. The method combines the sudden change characteristic of the speed with the road section information, fully considers the different influence degrees of different road sections on the driving behavior of the driver, better reflects the stationarity characteristic of the driving of the driver, more accurately judges whether the driver is driving stably, driving normally or driving at risk, and provides effective basis for the management and the assessment of the driver and other deep applications based on the driving behavior. However, in the prior art, the driving behavior of the vehicle is not deeply analyzed in combination with the weather condition.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a system, a method and a device for identifying risky driving behaviors and a storage medium.
The technical scheme adopted by the invention is as follows:
in one aspect, embodiments of the present invention include a risky driving behavior recognition system, comprising a vehicle diagnosis module, a satellite positioning module, and a driving behavior analysis module;
the vehicle diagnosis module is used for acquiring the working state data of a wiper of a vehicle and determining the weather condition according to the working state data of the wiper;
the satellite positioning module is used for acquiring position data of the vehicle and speed data of the vehicle;
the driving behavior analysis module is used for identifying whether the current driving behavior is a risk driving behavior according to the weather condition, the position data and the speed data.
Further, the identification system further comprises a wireless communication module,
the wireless communication module is used for transmitting the weather condition, the position data and the speed data to the driving behavior analysis module.
Further, the driving behavior analysis module includes:
the determining unit is used for determining a first position and a first speed according to the position data and the speed data, wherein the first position is the current position of the vehicle, and the first speed is the current running speed of the vehicle;
a first acquisition unit configured to acquire another vehicle near the first position based on the first position;
a second acquisition unit configured to acquire a speed of another vehicle near the first position;
the third acquisition unit is used for acquiring the speed limit value of the road section corresponding to the first position;
the first comparison unit is used for comparing the first speed with the speed limit value;
a second comparison unit, configured to compare the first speed with speeds of other vehicles near the first position;
and the identification unit is used for identifying the current driving behavior as the risk driving behavior when the first speed is continuously greater than the speed limit value or when the first speed is greater than the speed threshold proportion of other vehicles near the first position.
Further, the vehicle diagnostic module includes:
the first acquisition unit is used for accessing an automobile CAN bus through a diagnostic protocol and acquiring the working state data of a wiper of a vehicle in an interception mode;
the determining unit is used for determining whether the weather condition is severe weather when the windscreen wiper of the vehicle is determined to be in a continuous working state according to the windscreen wiper working state data;
the second acquisition unit is used for acquiring the working frequency of the wiper from the working state data of the wiper;
and the grading unit is used for carrying out risk grading on the severe weather according to the working frequency of the windscreen wiper to obtain the risk grade condition of the severe weather.
Further, the wireless communication module is also used for transmitting the severe weather risk level situation to the driving behavior analysis module.
Further, the driving behavior analysis module further includes: and the grading unit is used for carrying out risk grading on the risky driving behaviors according to the severe weather risk grade condition when the current driving behaviors are identified as the risky driving behaviors.
Further, the driving behavior analysis module further includes:
and the reminding unit is used for correspondingly reminding the driver in a sound or visual mode according to the risk grade condition of the risk driving behavior.
On the other hand, the embodiment of the invention also comprises a risk driving behavior identification method, which comprises the following steps:
acquiring wiper working state data of a vehicle, and determining weather conditions according to the wiper working state data;
acquiring position data and speed data of a vehicle;
and identifying whether the current driving behavior is a risk driving behavior according to the weather condition, the position data and the speed data.
On the other hand, the embodiment of the invention also comprises a risk driving behavior recognition device, which comprises:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, causing the at least one processor to implement the at least one risk driving behavior recognition method.
In another aspect, the embodiment of the present invention further includes a computer-readable storage medium, on which a program executable by a processor is stored, where the program executable by the processor is used to implement the risky driving behavior recognition method when being executed by the processor.
The invention has the beneficial effects that:
according to the invention, the severe weather risk grade condition can be obtained through the vehicle diagnosis module, the position data and the speed data of the vehicle can be obtained through the satellite positioning module, and whether the current driving behavior is the risky driving behavior or not can be identified through the driving behavior analysis module according to the weather condition, the position data and the speed data; the invention analyzes the driving behavior of the vehicle by combining the weather condition, so that the analysis result is more accurate and perfect, the occurrence of road accidents is favorably reduced, and the premium expenditure of insurance companies can be further reduced.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic structural diagram of a risk driving behavior recognition system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a process for implementing the vehicle diagnostic module of the present invention;
FIG. 3 is a flow chart of a process of a driving behavior analysis module according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating steps of a method for identifying risky driving behaviors according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a risk driving behavior recognition apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to in the description of the orientation, such as the upper, lower, front, rear, left, right, etc., is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and larger, smaller, larger, etc. are understood as excluding the number, and larger, smaller, inner, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
The embodiments of the present application will be further explained with reference to the drawings.
Referring to fig. 1, an embodiment of the present invention provides a risk driving behavior recognition system, including a vehicle diagnosis module, a satellite positioning module, and a driving behavior analysis module;
the vehicle diagnosis module is used for acquiring the working state data of a wiper of a vehicle and determining the weather condition according to the working state data of the wiper;
the satellite positioning module is used for acquiring position data of the vehicle and speed data of the vehicle;
the driving behavior analysis module is used for identifying whether the current driving behavior is a risk driving behavior according to the weather condition, the position data and the speed data.
Specifically, the identification system further comprises a wireless communication module for transmitting the weather condition, the location data and the speed data to the driving behavior analysis module.
In the embodiment, the vehicle diagnosis module, the satellite positioning module and the wireless communication module are vehicle-end equipment, the driving behavior analysis module establishes communication connection with the wireless communication module through a wireless network, and further receives weather conditions determined by the vehicle diagnosis module and position data and speed data of the vehicle acquired by the satellite positioning module; and analyzing and identifying the current driving behavior of the vehicle according to the received information.
Specifically, the vehicle diagnostic module includes:
the first acquisition unit is used for accessing an automobile CAN bus through a diagnostic protocol and acquiring the working state data of a wiper of a vehicle in an interception mode;
the determining unit is used for determining whether the weather condition is severe weather when the windscreen wiper of the vehicle is determined to be in a continuous working state according to the windscreen wiper working state data;
the second acquisition unit is used for acquiring the working frequency of the wiper from the working state data of the wiper;
and the grading unit is used for carrying out risk grading on the severe weather according to the working frequency of the windscreen wiper to obtain the risk grade condition of the severe weather.
In the embodiment, the vehicle diagnosis module is connected to the automobile CAN bus through a diagnosis protocol, acquires the working state data of the vehicle wiper in a monitoring mode, judges the external weather condition to be bad weather if the vehicle wiper is in a continuous working state, and carries out risk classification on the bad weather according to the working frequency of the wiper; specifically, the severe weather risk level can be classified into low risk, medium risk and high risk according to the low speed, medium speed and high speed of the operating frequency of the wiper.
Referring to fig. 2, fig. 2 shows a process of the vehicle diagnostic module for severe weather risk classification, including:
(1) the vehicle diagnosis module is connected to an automobile CAN bus through a diagnosis protocol and acquires working state data of a vehicle wiper in an interception mode;
(2) judging whether the wiper is in a continuous working state;
(3) if the windscreen wiper is in a continuous working state, determining that the weather condition is a severe weather condition;
(4) analyzing the working frequency of the windscreen wiper, and carrying out risk classification on severe weather according to the working frequency of the windscreen wiper.
In this embodiment, after the vehicle diagnosis module obtains the severe weather risk level condition, the wireless communication module may transmit the severe weather risk level condition to the driving behavior analysis module.
Specifically, the driving behavior analysis module includes:
the determining unit is used for determining a first position and a first speed according to the position data and the speed data, wherein the first position is the current position of the vehicle, and the first speed is the current running speed of the vehicle;
a first acquisition unit configured to acquire another vehicle near the first position based on the first position;
a second acquisition unit configured to acquire a speed of another vehicle near the first position;
the third acquisition unit is used for acquiring the speed limit value of the road section corresponding to the first position;
the first comparison unit is used for comparing the first speed with the speed limit value;
a second comparison unit, configured to compare the first speed with speeds of other vehicles near the first position;
and the identification unit is used for identifying the current driving behavior as the risk driving behavior when the first speed is continuously greater than the speed limit value or when the first speed is greater than the speed threshold proportion of other vehicles near the first position.
Specifically, the driving behavior analysis module further includes:
and the grading unit is used for carrying out risk grading on the risky driving behaviors according to the severe weather risk grade condition when the current driving behaviors are identified as the risky driving behaviors.
Specifically, the driving behavior analysis module further includes:
and the reminding unit is used for correspondingly reminding the driver in a sound or visual mode according to the risk grade condition of the risk driving behavior.
In the embodiment, the driving behavior analysis module triggers risk identification of the driving behavior through weather condition indication; comparing the vehicle speed with the speeds of other vehicles and road section speed limits nearby the vehicle position, if the vehicle speed is continuously higher than the road section speed limit or the vehicle speed is higher than the speed threshold proportion (such as 20%) of other nearby vehicles, judging that the vehicle driving behavior is a risk driving state, and grading the risk driving state according to the overspeed proportion; finally, the severe weather risk grade condition and the risk driving state grade condition are combined to carry out overall driving risk grading; the driving behavior analysis module also indicates the vehicle-end equipment to remind the driver in a sound or visual mode according to different driving risk levels.
Referring to fig. 3, fig. 3 shows a process of the driving behavior analysis module for grading the driving risk:
(1) the driving behavior analysis module acquires severe weather risk level conditions, position data of the vehicle and speed data of the vehicle;
(2) the driving behavior analysis module triggers risk identification of driving behaviors through weather condition indication;
(3) comparing the speed of the vehicle with the speeds of other vehicles near the position of the vehicle and the speed limit value of the road section;
(4) judging whether the vehicle speed is higher than the road section speed limit value or not;
(5) if the vehicle speed is higher than the road section speed limit value, judging that the vehicle driving behavior is in a risk driving state;
(6) if the speed of the vehicle is not higher than the speed limit value of the road section, continuously judging whether the speed of the vehicle is higher than the speed threshold proportion of other vehicles nearby;
(7) if the vehicle speed is higher than the speed threshold value proportion of other nearby vehicles, judging that the vehicle driving behavior is in a risk driving state;
(8) grading the risk driving state according to the overspeed proportion;
(9) the severe weather risk grade condition and the risk driving state grade condition are combined to carry out overall driving risk grading;
(10) the driving behavior analysis module indicates the vehicle-end equipment to remind the driver through sound or visual modes according to different driving risk levels.
The risk driving behavior recognition system provided by the embodiment of the invention has the following technical effects:
according to the embodiment of the invention, the severe weather risk grade condition can be obtained through the vehicle diagnosis module, the position data and the speed data of the vehicle can be obtained through the satellite positioning module, and whether the current driving behavior is the risk driving behavior or not can be identified through the driving behavior analysis module according to the weather condition, the position data and the speed data; the embodiment of the invention analyzes the driving behavior of the vehicle by combining the weather condition, so that the analysis result is more accurate and perfect, the occurrence of road accidents is favorably reduced, and the premium expenditure of insurance companies can be further reduced.
Referring to fig. 4, an embodiment of the present invention further provides a method for identifying risky driving behaviors, including:
s1, acquiring working state data of a wiper of a vehicle, and determining a weather condition according to the working state data of the wiper;
s2, acquiring position data and speed data of the vehicle;
and S3, identifying whether the current driving behavior is a risk driving behavior or not according to the weather condition, the position data and the speed data.
Referring to fig. 5, an embodiment of the present invention further provides a device 200 for identifying risky driving behaviors, which specifically includes:
at least one processor 210;
at least one memory 220 for storing at least one program;
when executed by the at least one processor 210, causes the at least one processor 210 to implement the method as shown in fig. 4.
The memory 220, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs and non-transitory computer-executable programs. The memory 220 may include high speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 220 may optionally include remote memory located remotely from processor 210, and such remote memory may be connected to processor 210 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
It will be understood that the device structure shown in fig. 5 is not intended to be limiting of device 200, and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
In the apparatus 200 shown in fig. 5, the processor 210 may retrieve the program stored in the memory 220 and execute, but is not limited to, the steps of the embodiment shown in fig. 4.
The above-described embodiments of the apparatus 200 are merely illustrative, and the units illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purposes of the embodiments.
Embodiments of the present invention also provide a computer-readable storage medium, which stores a program executable by a processor, and the program executable by the processor is used for implementing the method shown in fig. 4 when being executed by the processor.
The embodiment of the application also discloses a computer program product or a computer program, which comprises computer instructions, and the computer instructions are stored in a computer readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and executed by the processor to cause the computer device to perform the method illustrated in fig. 4.
It will be understood that all or some of the steps, systems of methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. A risk driving behavior recognition system is characterized by comprising a vehicle diagnosis module, a satellite positioning module and a driving behavior analysis module;
the vehicle diagnosis module is used for acquiring the working state data of a wiper of a vehicle and determining the weather condition according to the working state data of the wiper;
the satellite positioning module is used for acquiring position data of the vehicle and speed data of the vehicle;
the driving behavior analysis module is used for identifying whether the current driving behavior is a risk driving behavior according to the weather condition, the position data and the speed data.
2. The system of claim 1, wherein the identification system further comprises a wireless communication module,
the wireless communication module is used for transmitting the weather condition, the position data and the speed data to the driving behavior analysis module.
3. The risky driving behavior recognition system of claim 1, wherein the driving behavior analysis module comprises:
the determining unit is used for determining a first position and a first speed according to the position data and the speed data, wherein the first position is the current position of the vehicle, and the first speed is the current running speed of the vehicle;
a first acquisition unit configured to acquire another vehicle near the first position based on the first position;
a second acquisition unit configured to acquire a speed of another vehicle near the first position;
the third acquisition unit is used for acquiring the speed limit value of the road section corresponding to the first position;
the first comparison unit is used for comparing the first speed with the speed limit value;
a second comparison unit, configured to compare the first speed with speeds of other vehicles near the first position;
and the identification unit is used for identifying the current driving behavior as the risk driving behavior when the first speed is continuously greater than the speed limit value or when the first speed is greater than the speed threshold proportion of other vehicles near the first position.
4. The risky driving behavior recognition system of claim 2, wherein the vehicle diagnostic module comprises:
the first acquisition unit is used for accessing an automobile CAN bus through a diagnostic protocol and acquiring the working state data of a wiper of a vehicle in an interception mode;
the determining unit is used for determining whether the weather condition is severe weather when the windscreen wiper of the vehicle is determined to be in a continuous working state according to the windscreen wiper working state data;
the second acquisition unit is used for acquiring the working frequency of the wiper from the working state data of the wiper;
and the grading unit is used for carrying out risk grading on the severe weather according to the working frequency of the windscreen wiper to obtain the risk grade condition of the severe weather.
5. The risky driving behavior identification system of claim 4, wherein the wireless communication module is further configured to transmit the severe weather risk level condition to the driving behavior analysis module.
6. The risky driving behavior recognition system of claim 5, wherein the driving behavior analysis module further comprises:
and the grading unit is used for carrying out risk grading on the risky driving behaviors according to the severe weather risk grade condition when the current driving behaviors are identified as the risky driving behaviors.
7. The risky driving behavior recognition system of claim 6, wherein the driving behavior analysis module further comprises:
and the reminding unit is used for correspondingly reminding the driver in a sound or visual mode according to the risk grade condition of the risk driving behavior.
8. A risky driving behavior recognition method, comprising:
acquiring wiper working state data of a vehicle, and determining weather conditions according to the wiper working state data;
acquiring position data and speed data of a vehicle;
and identifying whether the current driving behavior is a risk driving behavior according to the weather condition, the position data and the speed data.
9. An apparatus for identifying risky driving behavior, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the method of claim 8.
10. Computer-readable storage medium, on which a processor-executable program is stored, which, when being executed by a processor, is adapted to carry out the method of claim 8.
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| CN202011616966.XA CN112572330A (en) | 2020-12-30 | 2020-12-30 | Risk driving behavior recognition system, method and device and storage medium |
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Application publication date: 20210330 |