CN114093143A - Vehicle driving risk perception early warning method and device - Google Patents
Vehicle driving risk perception early warning method and device Download PDFInfo
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- CN114093143A CN114093143A CN202111258213.0A CN202111258213A CN114093143A CN 114093143 A CN114093143 A CN 114093143A CN 202111258213 A CN202111258213 A CN 202111258213A CN 114093143 A CN114093143 A CN 114093143A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The embodiment of the application discloses a vehicle driving risk perception early warning method and device. According to the technical scheme provided by the embodiment of the application, the behavior information of the driver and the vehicle state information are collected in real time; performing data processing on the driver behavior information and the vehicle state information within a preset time interval according to a preset early warning risk value calculation formula to obtain a corresponding early warning risk value; dividing corresponding early warning risk levels according to the early warning risk values; and carrying out warning prompts of different levels according to the early warning risk level. The technical scheme provided by the embodiment of the application solves the problem that the perception early warning of safe driving cannot be automatically analyzed and presented, and improves the automation and visualization of the perception early warning of safe driving.
Description
Technical Field
The embodiment of the application relates to the technical field of vehicle safety, in particular to a vehicle driving risk perception early warning method and device.
Background
With the development of society, urban public transport and private cars become important transportation means for people to go out, and with the rapid increase of data of automobiles, traffic accidents caused by the urban public transport and private cars are frequent, so that safe driving of the automobiles is an important concern in the traffic field.
At present, the safety driving perception commonly used in the industry is that devices such as ADAS, DSM and CAN collectors are installed on a vehicle to monitor the driving behaviors of a driver and report vehicle running state parameters to a management platform, a supervisor CAN remotely check information such as warning events of smoking, calling or fatigue driving of the driver and vehicle faults on the management platform, but the information presentation mode of the management platform is a point-dispersed structure, the information is generally summarized in the form of alarm reports or fault reports, the supervisor needs to check the information one by one and make judgment by the current risk of the experience of the supervisor, and the integral safety state of a single vehicle and a single line cannot be automatically analyzed and visually presented.
Disclosure of Invention
The embodiment of the application provides a vehicle driving risk perception early warning method and device, which can solve the problem that safe driving perception early warning cannot be automatically analyzed and presented, and improve automation and visualization of safe driving perception early warning.
In a first aspect, an embodiment of the present application provides a vehicle driving risk perception early warning method, including:
acquiring driver behavior information and vehicle state information in real time;
performing data processing on the driver behavior information and the vehicle state information within a preset time interval according to a preset early warning risk value calculation formula to obtain a corresponding early warning risk value;
dividing corresponding early warning risk levels according to the early warning risk values;
and carrying out warning prompts of different levels according to the early warning risk level.
Further, the preset formula for calculating the early warning risk value specifically includes:
Wt＝θ1∑A+θ2∑B
wherein, WtRepresenting the early warning risk value within the preset time interval duration t, sigma A representing the number of violation behaviors of the driver within the preset time interval duration t, sigma B representing the number of vehicle state faults within the preset time interval duration t, and theta1、θ2Respectively, are coefficients.
Further, the dividing of the corresponding early warning risk level according to the early warning risk value specifically includes:
if the early warning risk value exceeds a preset first threshold value, the early warning risk value belongs to a first-level risk grade;
if the early warning risk value exceeds a preset second threshold value, the early warning risk value belongs to a secondary risk grade;
and if the early warning risk value exceeds a preset third threshold value, the early warning risk value belongs to a third-level risk grade.
Further, the method further comprises:
displaying the acquired information in a display in a time sequence form;
displaying different time sequence curves corresponding to different vehicles on a display;
displaying a real-time early warning risk value, an early warning risk grade, sending time, a position and a driving track of a corresponding vehicle on the time sequence curve;
and marking corresponding warning information on the driving track, wherein the warning information comprises the information of the violation event of the driver or the fault event of the vehicle state.
Further, the alarm information further includes an alarm name, an alarm event, an alarm level, an alarm position, and an alarm vehicle speed.
Further, the warning prompt of different levels is performed according to the early warning risk level, specifically:
when the early warning risk level is a first-level risk level, warning prompt is carried out through voice preset by the vehicle-mounted voice device;
when the early warning risk level is a secondary risk level, warning prompt is carried out through a remote artificial voice of a management platform;
and when the early warning risk level is a third-level risk level, warning prompt is carried out through remote video or remote artificial voice of the management platform along with the buzzing sound.
Further, the method further comprises:
and clicking a certain vehicle on a display to correspond to the time sequence curve, displaying detailed information of the vehicle, and providing a corresponding video monitoring viewing entrance, a track playback viewing entrance and a video or voice call interaction entrance, wherein the detailed information comprises a license plate number, driver information and alarm information.
In a second aspect, an embodiment of the present application provides a vehicle driving risk perception early warning device, including:
the acquisition unit is used for acquiring the behavior information of the driver and the vehicle state information in real time;
the early warning risk value calculation unit is used for carrying out data processing on the driver behavior information and the vehicle state information within a preset time interval according to a preset early warning risk value calculation formula to obtain a corresponding early warning risk value;
the early warning risk grade dividing unit is used for dividing corresponding early warning risk grades according to the early warning risk values;
and the warning prompting unit is used for carrying out warning prompts of different levels according to the early warning risk level.
Further, the preset formula for calculating the early warning risk value specifically includes:
Wt＝θ1∑A+θ2∑B
wherein, WtRepresenting the early warning risk value within the preset time interval duration t, sigma A representing the number of violation behaviors of the driver within the preset time interval duration t, sigma B representing the number of vehicle state faults within the preset time interval duration t, and theta1、θ2Respectively, are coefficients.
Further, the early warning risk grade division unit is also used for determining that the early warning risk value belongs to a first-grade risk grade if the early warning risk value exceeds a preset first threshold value;
if the early warning risk value exceeds a preset second threshold value, the early warning risk value belongs to a secondary risk grade;
and if the early warning risk value exceeds a preset third threshold value, the early warning risk value belongs to a third-level risk grade.
Further, the apparatus further includes:
the display unit is used for displaying the acquired information on the display in a timing diagram mode;
displaying different time sequence curves corresponding to different vehicles on a display;
displaying a real-time early warning risk value, an early warning risk grade, sending time, a position and a driving track of a corresponding vehicle on the time sequence curve;
and marking corresponding warning information on the driving track, wherein the warning information comprises the information of the violation event of the driver or the fault event of the vehicle state.
Further, the alarm information further includes an alarm name, an alarm event, an alarm level, an alarm position, and an alarm vehicle speed.
Further, the warning prompting unit is further configured to perform warning prompting through a voice preset by the vehicle-mounted voice device when the early warning risk level is a first-level risk level;
when the early warning risk level is a secondary risk level, warning prompt is carried out through a remote artificial voice of a management platform;
and when the early warning risk level is a third-level risk level, warning prompt is carried out through remote video or remote artificial voice of the management platform along with the buzzing sound.
Further, the apparatus further includes:
and the interaction unit is used for clicking a certain vehicle on the display to correspond to the time sequence curve, displaying the detailed information of the vehicle, and providing a corresponding video monitoring viewing entrance, a track playback viewing entrance and a video or voice call interaction entrance, wherein the detailed information comprises a license plate number, driver information and alarm information.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the vehicle driving risk perception pre-warning method of the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the vehicle driving risk perception early warning method according to the first aspect when executed by a computer processor.
According to the embodiment of the application, data processing is carried out on the driver behavior information and the vehicle state information within the preset time interval according to the preset early warning risk calculation formula to obtain the corresponding early warning risk value, the corresponding early warning risk grade is divided according to the early warning risk value, and warning prompts of different grades are carried out according to the divided early warning risk grade. By adopting the technical means, the early warning risk value is obtained by calculating and processing the driver behavior information and the vehicle state information through a specific algorithm, the calculation of the early warning risk value is quantized, the influence of two factors of the driver behavior and the vehicle state is considered at the same time, the dimensionality of the calculation of the early warning risk value is expanded, and the calculation result is more accurate. In addition, different forms of warning prompt are carried out according to different classified warning risk levels, so that the effectiveness of warning is improved.
Drawings
Fig. 1 is a flowchart of a vehicle driving risk perception early warning method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a timing curve of a display according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a vehicle driving risk perception early warning device provided in the second embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The vehicle driving risk perception early warning method and device aim to perform data processing on driver behavior information and vehicle state information in a preset time interval according to a preset early warning risk calculation formula to obtain corresponding early warning risk values, perform corresponding early warning risk grade division according to the early warning risk values, and perform alarm prompts of different grades according to the divided early warning risk grades. Thereby improving automation and visualization of safe driving perception. Compared with the traditional driving risk perception early warning mode, the driving risk perception early warning mode usually summarizes monitored information in the form of an alarm report or a fault report, and management personnel need to manually look up a table to check the table, so that the working efficiency is very low, and a large amount of human resources are wasted. In addition, the administrator needs to judge that the risk exists currently according to own experience, certain subjectivity exists, the whole safety state of a single vehicle or a single line cannot be automatically analyzed and visually presented, the sensing efficiency of the driving risk is low, and the warning prompt is not timely. Based on this, the vehicle driving risk perception early warning method provided by the embodiment of the application is provided. The problem that automatic analysis cannot be performed in the existing vehicle driving risk perception early warning is solved.
The first embodiment is as follows:
fig. 1 shows a flowchart of a vehicle driving risk perception early warning method provided in an embodiment of the present application, where the vehicle driving risk perception early warning method provided in this embodiment may be executed by a vehicle driving risk perception early warning device, the vehicle driving risk perception early warning device may be implemented in a software and/or hardware manner, and the vehicle driving risk perception early warning device may be formed by two or more physical entities or may be formed by one physical entity. Generally, the vehicle driving risk perception early warning device may be a terminal device, such as a computer, a tablet, a mobile phone, and the like.
The following description will be given by taking a computer as an example of a subject for executing the vehicle driving risk perception early warning method. Referring to fig. 1, the vehicle driving risk perception early warning method specifically includes:
s101, acquiring driver behavior information and vehicle state information in real time.
Specifically, the vehicle is provided with a vehicle-mounted safety device carrying an artificial intelligence system, so that the identity of a driver is identified, and the driving behavior of the driver is warned in real time to remind that data acquisition is carried out. The vehicle-mounted safety equipment comprises an intelligent host, a face infrared monitoring camera and a plurality of safety video monitoring cameras, and is used for realizing real-time video acquisition monitoring and active identification alarm reminding for face identity identification and high-risk driving behaviors of a driver, and reporting acquired driver behavior information to a server background for data processing. The vehicle-mounted safety equipment further comprises an ADAS, a DSM, a CAN collector and the like.
In one embodiment, the collected monitoring video is subjected to artificial intelligence operation and image recognition through the vehicle-mounted safety equipment, so as to identify driver behavior information, wherein the driver behavior information comprises: smoking, making a call, fatigue driving, opening and closing a door illegally, speeding, accelerating rapidly, decelerating rapidly, colliding a front vehicle, not fastening a safety belt, running a red light, changing a lane without turning a turn light, shielding monitoring equipment and the like. And reporting the identified driver behavior information to a server background through the vehicle-mounted safety equipment.
In one embodiment, the collected monitoring video is reported to a server background through the vehicle-mounted safety equipment, and corresponding driver behavior information is identified in the server background.
Further, still be provided with vehicle state information acquisition module in the vehicle, carry out real-time control to the running state information of vehicle, vehicle state information includes: battery high temperature alarm, energy storage system overvoltage, water temperature overhigh, tire explosion, brake failure, oil quantity overlow and the like.
In one embodiment, the driver behavior information and the vehicle state information are collected in real time, when the collected violation behaviors of the driver exceed a preset time threshold, a warning prompt is carried out, and if the same violation behaviors are continuously detected, an administrator is informed to carry out subsequent punishment processing. And when the vehicle fault state information is detected, immediately carrying out alarm prompt to prompt a driver to pay attention to the fault state and remind the driver of needing fault clearing treatment.
The behavior information of the driver and the state information of the vehicle are collected in real time, so that the behavior of the driver and the state of the vehicle can be monitored, and the attention of the driver can be timely warned when the violation of the driver occurs or the vehicle is in a fault state. In addition, the collected driver behavior information and the collected state information of the vehicles are sent to the server background, so that a manager can check the information, the vehicle operation manager can know the conditions of each vehicle in time, the driver behavior information and the state information of the vehicle of each route are monitored, and the timeliness of collecting the information of safe driving is improved.
S102, performing data processing on the driver behavior information and the vehicle state information within a preset time interval according to a preset early warning risk value calculation formula to obtain a corresponding early warning risk value.
Specifically, the preset calculation formula of the early warning risk value specifically includes: wt＝θ1∑A+θ2Sigma B wherein WtRepresenting the early warning risk value within the preset time interval duration t, sigma A representing the number of violation behaviors of the driver within the preset time interval duration t, sigma B representing the number of vehicle state faults within the preset time interval duration t, and theta1、θ2Respectively, are coefficients. Theta1、θ2The size of (a) can be set as needed in accordance with actual circumstances, for example, when the number of records of occurrence of a vehicle relative to a failure state is small for a new vehicle, θ2May be set below theta1(ii) a For old vehicles with long service life, the vehicle state failure usually occurs more frequently, so θ2May be set higher than theta1。
In an embodiment, the preset formula for calculating the early warning risk value specifically includes: wt＝θ1∑A+θ2Sigma B wherein WtRepresenting an early warning risk value within a preset time interval duration t, sigma A representing the number of illegal behaviors of the driver within the preset time interval duration t, and sigma A representing the number of certain illegal behaviors of the driver within the preset time interval duration t and also representing the sum of the number of all illegal behaviors of the driver within the preset time interval duration t; sigma B represents the number of vehicle state faults within the preset time interval duration t, and sigma B can represent the number of faults of a certain state of the vehicle within the preset time interval duration t and can also be expressed as the sum of the number of faults of all states of the vehicle within the preset time interval duration t; theta1、θ2Respectively, are coefficients. Theta1、θ2The size of the glass fiber can be set according to the actual requirements,
the illegal behaviors of the driver comprise smoking, calling, fatigue driving, illegal door opening and closing, overspeed, rapid acceleration, rapid deceleration, front vehicle collision, no safety belt fastening, red light running, no turn light on, lane changing, monitoring equipment shielding and the like. The vehicle state faults comprise battery high-temperature alarm, energy storage system overvoltage, overhigh water temperature, tire explosion, brake failure, overlow oil quantity and the like.
In an embodiment, the preset time interval duration is set to be 20 minutes, the collected driver behavior information and the collected vehicle state information are subjected to data processing every 20 minutes, the sum of the number of times of violation behaviors of the driver and the sum of the number of times of vehicle state faults in 20 minutes are counted, and the counted number is substituted into a formula Wt＝θ1∑A+θ2And obtaining a corresponding early warning risk value within the 20 minutes. And then, carrying out data processing on the acquired information acquired in the next 20 minutes to acquire a corresponding early warning risk value in the next 20 minutes. And processing and calculating data according to a preset period of 20 minutes all the time, and updating the latest early warning risk value in real time.
Through comprehensive calculation of the number of times of the driver's illegal behavior and the number of times of the vehicle fault state, the obtained early warning risk value can more accurately represent the risk condition of the vehicle, comprehensive evaluation can be performed on the risk brought by the driver's illegal behavior and the risk brought by the vehicle fault state, the dimensionality of risk perception is expanded, and the accuracy and the applicability of the risk perception are improved. In addition, data processing is carried out through the preset time interval duration, and the early warning risk value is updated periodically in real time, so that the driving safety risk perception can be updated in real time, and the timeliness of perception early warning is further improved.
And S103, dividing corresponding early warning risk grades according to the early warning risk values.
Specifically, if the early warning risk value exceeds a preset first threshold value, the early warning risk value belongs to a first-level risk level; if the early warning risk value exceeds a preset second threshold value, the early warning risk value belongs to a secondary risk grade; and if the early warning risk value exceeds a preset third threshold value, the early warning risk value belongs to a third-level risk grade. The first threshold is less than the second threshold, which is less than the third threshold.
In an embodiment, the threshold of the early warning risk value may be set according to requirements of vehicle operation companies, for example, some vehicle operation companies require strict warning, and warn only when an illegal driving behavior or a vehicle fault state of the driver is found, while some vehicle operation companies require relatively loose warning, and warn when the illegal driving behavior of the driver exceeds 10 times.
In one embodiment, assume that the first threshold is 20, the second threshold is 30, the third threshold is 40, θ1、θ2And all the risk levels are set to be 1, when the early warning risk value calculated according to the step S102 in the preset time interval duration exceeds 20, the risk level of the vehicle at the moment is in the first-level risk level, an alarm prompt corresponding to the first-level risk level needs to be carried out on the vehicle, and data information collection of the preset time interval duration is started. If the early warning risk value calculated according to the step S102 exceeds 20 within the next preset time interval, the risk level of the vehicle is still in the first-level risk level, and warning prompt corresponding to the first-level risk level is continuously performed on the vehicle; if the early warning risk value calculated according to the step S102 exceeds 30, the risk level of the vehicle is changed into a secondary risk level, and the vehicle is required to perform warning prompt corresponding to the secondary risk level; if the early warning risk value calculated according to the step S102 exceeds 40, the risk level of the vehicle is changed to a third-level risk level, and a warning prompt corresponding to the third-level risk level is required to be performed by the vehicle.
By dividing different early warning risk grades according to different calculated risk values, the objectivity of early warning risk grade division is quantized and improved.
And S104, performing warning prompt of different levels according to the early warning risk level.
Specifically, when the early warning risk level is a first-level risk level, warning prompt is performed through voice preset by a vehicle-mounted voice device; when the early warning risk level is a secondary risk level, warning prompt is carried out through a remote artificial voice of a management platform; and when the early warning risk level is a third-level risk level, warning prompt is carried out through remote video or remote artificial voice of the management platform along with the buzzing sound.
In an embodiment, when the early warning risk value calculated according to the step S102 within the preset time interval does not exceed the first threshold, the vehicle is driven more safely without warning. When the early warning risk value calculated according to the step S102 within the preset time interval exceeds the first threshold, the vehicle driving is in a dangerous behavior, if the early warning risk level is judged to be the first-level risk level, a warning prompt is required, and the warning prompt is performed by a voice preset by a vehicle-mounted voice device, for example: "there is a violation for your driving, please note" or "there is a malfunction for the vehicle, please note". When the early warning risk value calculated according to the step S102 within the preset time interval exceeds the second threshold, the vehicle driving has a dangerous behavior, the early warning risk level is determined to be the second-level risk level, and then a warning prompt is required to be performed, and the warning prompt is performed through a remote artificial voice of the management platform, for example: "xxx driver, your driving has xxx violation please notice" or "the license plate of vehicle is xxx please notice that xxx of vehicle has fault please notice". When the early warning risk value calculated according to the step S102 within the preset time interval exceeds the third threshold, a very dangerous behavior exists in the vehicle driving, if the early warning risk level is judged to be the third-level risk level, a warning prompt needs to be performed on the early warning risk value, a vehicle-mounted voice device sends out a buzzer sound, and a remote artificial voice of a management platform is used for performing the warning prompt, for example: the vehicle-mounted warning system is characterized in that a xxx driver and your driving have xxx violation behaviors, please note that the xxx of the vehicle is in failure or please note that the xxx of the vehicle is in failure, or a vehicle-mounted voice device sends out beep sound and remotely carries out remote video warning prompt through a management platform.
And carrying out different forms of alarm prompts according to different early warning risk levels, and carrying out alarm prompts through voice preset by the vehicle-mounted voice device on the first-level early warning risk level with slight danger. Most of the existing automobiles are provided with vehicle-mounted voice devices for warning and prompting, and drivers may not be well informed after listening to the reminding of the vehicle-mounted voice devices. Therefore, when the dangerous secondary early warning risk level is achieved, the warning prompt needs to be carried out through the artificial voice of the remote management personnel, the management personnel have certain supervising and urging effects on the driver, and the warning effect is more obvious than that of general vehicle-mounted voice reminding. Furthermore, when a three-level early warning risk level with a very serious dangerous condition exists, the attention of a driver is brought to the driver through the buzzing sound, and warning are carried out through remote video or artificial voice, so that the urgency of warning and prompting is embodied, and the warning and prompting effect is improved.
In one embodiment, the vehicle-mounted safety equipment further comprises a file storage module, a satellite positioning module, a wireless communication module and a video display module. The collected information is reported to the server background through the wireless communication module, and the server background displays the collected information in a display in a timing diagram mode. The collected information comprises vehicle state information, driver behavior information, vehicle positioning information, driving track information, vehicle license plate number information, driver identity verification information, vehicle departure time, vehicle departure place and the like. Displaying different time sequence curves corresponding to different vehicles on a display; displaying a real-time early warning risk value, an early warning risk grade, sending time, a position and a driving track of a corresponding vehicle on the time sequence curve; and marking corresponding warning information on the driving track, wherein the warning information comprises the information of the violation event of the driver or the fault event of the vehicle state. The alarm information also comprises an alarm name, an alarm event, an alarm level, an alarm position, an alarm vehicle speed and the like.
In one embodiment, a certain vehicle on the display can be clicked in the display to correspond to the time sequence curve, so that detailed information of the vehicle is displayed, and a corresponding video monitoring viewing entry, a track playback viewing entry and a video or voice call interaction entry are provided, wherein the detailed information comprises a license plate number, driver information and alarm information. The vehicle can be interacted with through a video or voice call interaction inlet, and the vehicle can be contacted with a vehicle driver to carry out corresponding communication or corresponding alarm prompt.
Fig. 2 is a schematic diagram of a timing curve of a display according to an embodiment of the present application, and referring to fig. 2, a plurality of timing curves are recorded and displayed on the display, and each timing curve corresponds to a different route of a different vehicle. For example, a time sequence curve of the vehicle 1 starts from 19:00 at a train south station, real-time data acquisition is performed through vehicle-mounted safety equipment, data processing is performed at preset time intervals, the data are displayed on the time sequence curve through round points, and information such as video monitoring pictures, driver behavior information, vehicle state information, early warning risk values, early warning risk levels, vehicle positioning, vehicle running tracks and the like in the preset time intervals can be displayed by clicking the corresponding round points. And all data information corresponding to all time periods of the vehicle can be displayed by clicking the corresponding vehicle icon, for example, clicking the vehicle icon of the vehicle 1, the data information corresponding to all the preset time intervals of the vehicle can be displayed, firstly, the video monitoring picture, the driver behavior information, the vehicle state information, the early warning risk value, the early warning risk grade, the vehicle positioning, the vehicle running track and other information in the preset time interval before the first round point of the time sequence curve corresponding to the vehicle 1 are displayed, then displaying the video monitoring picture, the driver behavior information, the vehicle state information, the early warning risk value, the early warning risk grade, the vehicle positioning, the vehicle running track and other information in the preset time interval before the second round point of the time sequence curve corresponding to the vehicle 1, and repeating the steps until the data information corresponding to all the dots for completing the vehicle journey is displayed.
Illustratively, referring to fig. 2, a plurality of timing curves are recorded and displayed on the display, each timing curve corresponding to a different route of a different vehicle. For example, a time sequence curve of the vehicle 1 starts from 19:00 at a train south station, real-time data acquisition is carried out through vehicle-mounted safety equipment, data processing is carried out every 20 minutes, the data are displayed on the time sequence curve through round points, and information such as a video monitoring picture, driver behavior information, vehicle state information, an early warning risk value, an early warning risk level, vehicle positioning, a vehicle running track and the like in the previous 20-minute time period can be displayed by clicking the corresponding round points. And all data information corresponding to all time periods of the vehicle can be displayed by clicking the corresponding vehicle icon, for example, clicking the vehicle icon of the vehicle 1, the data information corresponding to all 20-minute time periods of the vehicle can be displayed, firstly, the video monitoring picture, the driver behavior information, the vehicle state information, the early warning risk value, the early warning risk grade, the vehicle positioning, the vehicle running track and other information in the 20-minute time period before the first round point of the time sequence curve corresponding to the vehicle 1 are displayed, then displaying the video monitoring picture, the driver behavior information, the vehicle state information, the early warning risk value, the early warning risk grade, the vehicle positioning, the vehicle running track and other information in the 20-minute time period before the second round point of the time sequence curve corresponding to the vehicle 1, and repeating the steps until the data information corresponding to all the dots for completing the vehicle journey is displayed.
Further, the vehicle categories and the real-time risk levels are displayed above the vehicle icons, for example, referring to fig. 2, the first vehicle icon is displayed above as "vehicle 1 level three risk", the second vehicle icon is displayed above as "vehicle 2 level two risk", and the third vehicle icon is displayed above as "vehicle 3 level risk". By displaying the corresponding risk level of the vehicle in real time, a manager can clearly see the real-time risk level without any operation, so that the corresponding warning prompt is carried out according to the real-time risk level, and the sensing efficiency of risk warning and the working efficiency of the warning prompt are improved.
In an embodiment, the display is further provided with a corresponding monitoring image display for feeding back a monitoring picture of the driver in real time, and when a vehicle icon is clicked or a dot of a time sequence curve is clicked, the monitoring picture of the driver in a corresponding recorded preset time interval segment is displayed so as to record the behavior information of the driver.
Furthermore, still be provided with corresponding interactive entry on the display, interactive entry includes video or voice call interactive entry, through clicking the vehicle icon that corresponds, and click video or voice call interactive entry, can carry out the video or the pronunciation conversation with the entity vehicle that this vehicle icon corresponds promptly to realize the suggestion of reporting an emergency and asking for help or increased vigilance to this vehicle driver's efficiency that reports an emergency and asks for help or increased vigilance's validity, further improved the probability that the driver corrected the illegal driving action or repaired the vehicle trouble, thereby improved the security of driving.
The driver behavior information and the vehicle state information within the preset time interval are subjected to data processing according to the preset early warning risk calculation formula to obtain the corresponding early warning risk value, the corresponding early warning risk grade is divided according to the early warning risk value, and the warning prompts of different grades are carried out according to the divided early warning risk grade. By adopting the technical means, the early warning risk value is obtained by calculating and processing the driver behavior information and the vehicle state information through a specific algorithm, the calculation of the early warning risk value is quantized, the influence of two factors of the driver behavior and the vehicle state is considered at the same time, the dimensionality of the calculation of the early warning risk value is expanded, and the calculation result is more accurate. In addition, different forms of warning prompt are carried out according to different classified warning risk levels, so that the effectiveness of warning is improved.
Example two:
on the basis of the foregoing embodiment, fig. 3 is a schematic structural diagram of a vehicle driving risk perception early warning device provided in the second embodiment of the present application. Referring to fig. 3, the vehicle driving risk perception early warning device provided in this embodiment specifically includes: the system comprises a collecting unit 21, an early warning risk value calculating unit 22, an early warning risk grade dividing unit 23 and an alarm prompting unit 24.
The acquisition unit 21 is used for acquiring driver behavior information and vehicle state information in real time;
the early warning risk value calculation unit 22 is configured to perform data processing on the driver behavior information and the vehicle state information within a preset time interval according to a preset early warning risk value calculation formula to obtain a corresponding early warning risk value;
the early warning risk grade dividing unit 23 is configured to divide corresponding early warning risk grades according to the early warning risk values;
and the warning prompting unit 24 is used for performing warning prompts of different levels according to the early warning risk levels.
Further, the preset formula for calculating the early warning risk value specifically includes: wt＝θ1∑A+θ2∑B
Wherein, WtRepresenting the early warning risk value within the preset time interval duration t, sigma A representing the number of violation behaviors of the driver within the preset time interval duration t, sigma B representing the number of vehicle state faults within the preset time interval duration t, and theta1、θ2Respectively, are coefficients.
The early warning risk grade dividing unit 23 is further configured to determine that the early warning risk value is in a first-level risk grade if the early warning risk value exceeds a preset first threshold; if the early warning risk value exceeds a preset second threshold value, the early warning risk value belongs to a secondary risk grade; and if the early warning risk value exceeds a preset third threshold value, the early warning risk value belongs to a third-level risk grade.
The device, still include: the display unit is used for displaying the acquired information on the display in a timing diagram mode; displaying different time sequence curves corresponding to different vehicles on a display; displaying a real-time early warning risk value, an early warning risk grade, sending time, a position and a driving track of a corresponding vehicle on the time sequence curve;
and marking corresponding warning information on the driving track, wherein the warning information comprises the information of the violation event of the driver or the fault event of the vehicle state. The alarm information also comprises an alarm name, an alarm event, an alarm level, an alarm position and an alarm vehicle speed.
The warning prompt unit 24 is further configured to perform warning prompt through a voice preset by the vehicle-mounted voice device when the early warning risk level is the first-level risk level; when the early warning risk level is a secondary risk level, warning prompt is carried out through a remote artificial voice of a management platform; and when the early warning risk level is a third-level risk level, warning prompt is carried out through remote video or remote artificial voice of the management platform along with the buzzing sound.
The device, still include: and the interaction unit is used for clicking a certain vehicle on the display to correspond to the time sequence curve, displaying the detailed information of the vehicle, and providing a corresponding video monitoring viewing entrance, a track playback viewing entrance and a video or voice call interaction entrance, wherein the detailed information comprises a license plate number, driver information and alarm information.
The driver behavior information and the vehicle state information within the preset time interval are subjected to data processing according to the preset early warning risk calculation formula to obtain the corresponding early warning risk value, the corresponding early warning risk grade is divided according to the early warning risk value, and the warning prompts of different grades are carried out according to the divided early warning risk grade. By adopting the technical means, the early warning risk value is obtained by calculating and processing the driver behavior information and the vehicle state information through a specific algorithm, the calculation of the early warning risk value is quantized, the influence of two factors of the driver behavior and the vehicle state is considered at the same time, the dimensionality of the calculation of the early warning risk value is expanded, and the calculation result is more accurate. In addition, different forms of warning prompt are carried out according to different classified warning risk levels, so that the effectiveness of warning is improved.
The vehicle driving risk perception early warning device provided by the second embodiment of the application can be used for executing the vehicle driving risk perception early warning method provided by the first embodiment of the application, and has corresponding functions and beneficial effects.
Example three:
an embodiment of the present application provides an electronic device, and with reference to fig. 4, the electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The number of processors in the electronic device may be one or more, and the number of memories in the electronic device may be one or more. The processor, memory, communication module, input device, and output device of the electronic device may be connected by a bus or other means.
The memory 32 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the vehicle driving risk perception early warning method according to any embodiment of the present application (for example, the acquisition unit, the early warning risk value calculation unit, the early warning risk classification unit, and the warning prompt unit in the vehicle driving risk perception early warning device). The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication module 33 is used for data transmission.
The processor 31 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory, so as to realize the vehicle driving risk perception early warning method.
The input device 34 may be used to receive entered numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 35 may include a display device such as a display screen.
The electronic device provided by the embodiment can be used for executing the vehicle driving risk perception early warning method provided by the embodiment I, and has corresponding functions and beneficial effects.
Example four:
embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a vehicle driving risk perception early warning method, including: acquiring driver behavior information and vehicle state information in real time; performing data processing on the driver behavior information and the vehicle state information within a preset time interval according to a preset early warning risk value calculation formula to obtain a corresponding early warning risk value; dividing corresponding early warning risk levels according to the early warning risk values; and carrying out warning prompts of different levels according to the early warning risk level.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present application is not limited to the vehicle driving risk perception early warning method described above, and may also perform related operations in the vehicle driving risk perception early warning method provided in any embodiments of the present application.
The vehicle driving risk perception early warning device, the storage medium, and the electronic device provided in the above embodiments may execute the vehicle driving risk perception early warning method provided in any embodiment of the present application, and refer to the vehicle driving risk perception early warning method provided in any embodiment of the present application without detailed technical details described in the above embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. A vehicle driving risk perception early warning method is characterized by comprising the following steps:
acquiring driver behavior information and vehicle state information in real time;
performing data processing on the driver behavior information and the vehicle state information within a preset time interval according to a preset early warning risk value calculation formula to obtain a corresponding early warning risk value;
dividing corresponding early warning risk levels according to the early warning risk values;
and carrying out warning prompts of different levels according to the early warning risk level.
2. The vehicle driving risk perception early warning method according to claim 1, wherein the preset early warning risk value calculation formula specifically includes:
Wt＝θ1∑A+θ2∑B
wherein, WtRepresenting the early warning risk value within the preset time interval duration t, sigma A representing the number of violation behaviors of the driver within the preset time interval duration t, sigma B representing the number of vehicle state faults within the preset time interval duration t, and theta1、θ2Respectively, are coefficients.
3. The vehicle driving risk perception early warning method according to claim 1, wherein the corresponding early warning risk levels are divided according to the early warning risk values, specifically:
if the early warning risk value exceeds a preset first threshold value, the early warning risk value belongs to a first-level risk grade;
if the early warning risk value exceeds a preset second threshold value, the early warning risk value belongs to a secondary risk grade;
and if the early warning risk value exceeds a preset third threshold value, the early warning risk value belongs to a third-level risk grade.
4. The vehicle driving risk perception early warning method according to claim 1, further comprising:
displaying the acquired information in a display in a time sequence form;
displaying different time sequence curves corresponding to different vehicles on a display;
displaying a real-time early warning risk value, an early warning risk grade, sending time, a position and a driving track of a corresponding vehicle on the time sequence curve;
and marking corresponding warning information on the driving track, wherein the warning information comprises the information of the violation event of the driver or the fault event of the vehicle state.
5. The vehicle driving risk perception early warning method according to claim 4, wherein the warning information further includes a warning name, a warning event, a warning level, a warning location, a warning vehicle speed.
6. The vehicle driving risk perception early warning method according to claim 3, wherein the warning prompts of different levels are performed according to early warning risk levels, specifically:
when the early warning risk level is a first-level risk level, warning prompt is carried out through voice preset by the vehicle-mounted voice device;
when the early warning risk level is a secondary risk level, warning prompt is carried out through a remote artificial voice of a management platform;
and when the early warning risk level is a third-level risk level, warning prompt is carried out through remote video or remote artificial voice of the management platform along with the buzzing sound.
7. The vehicle driving risk perception early warning method according to claim 4, further comprising:
and clicking a certain vehicle on a display to correspond to the time sequence curve, displaying detailed information of the vehicle, and providing a corresponding video monitoring viewing entrance, a track playback viewing entrance and a video or voice call interaction entrance, wherein the detailed information comprises a license plate number, driver information and alarm information.
8. A vehicle driving risk perception early warning device, comprising:
the acquisition unit is used for acquiring the behavior information of the driver and the vehicle state information in real time;
the early warning risk value calculation unit is used for carrying out data processing on the driver behavior information and the vehicle state information within a preset time interval according to a preset early warning risk value calculation formula to obtain a corresponding early warning risk value;
the early warning risk grade dividing unit is used for dividing corresponding early warning risk grades according to the early warning risk values;
and the warning prompting unit is used for carrying out warning prompts of different levels according to the early warning risk level.
9. An electronic device, comprising:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the method of any one of claims 1-7 when executed by a computer processor.
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