CN111267726B - Intelligent driving management system and method - Google Patents
Intelligent driving management system and method Download PDFInfo
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- CN111267726B CN111267726B CN201811474670.1A CN201811474670A CN111267726B CN 111267726 B CN111267726 B CN 111267726B CN 201811474670 A CN201811474670 A CN 201811474670A CN 111267726 B CN111267726 B CN 111267726B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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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
- B60R16/0234—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions related to maintenance or repairing of vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/02—Occupant safety arrangements or fittings, e.g. crash pads
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Abstract
The invention discloses an intelligent driving management system and a method, wherein the management system comprises: the device comprises a central control unit, a detection module, a voice reminding module, a reply receiving module and a signal transmitting module. The management method comprises the following steps: A. a management system is connected with a running computer, and the running information of the vehicle detected by the running computer is received; B. the management system sets a standard value for the driving information, and sends out a voice message when detecting that the data of the driving information is not accordant with the standard value; C. the management system receives a voice reply content and detects that the new data of the driving information conforms to the standard value again according to the voice reply content; D. and the management system generates a detection result according to the new driving information and judges whether the detection result is normal driving or dangerous driving.
Description
Technical Field
The invention relates to an intelligent driving management system and method which can judge whether a driver is driving normally or driving dangerously according to driving information of the driver, collect and record data, apply the data as big data in the future and ensure the safety of passengers.
Background
As the performance of the current vehicles is better and better, the relative requirements on the driving behavior of the driver are extremely strict, so that the safety of the driver and other people can be ensured. However, the driving behavior of each driver is not uniform, and traffic accidents often occur due to negligence, wrong operation, fatigue driving or drunk driving. Because the capacities of the traffic accident identification equipment and the identification personnel are limited and the effective and accurate judgment can not be carried out on all traffic accidents, the responsibility of both the accident causing parties is difficult to clear, and even the compensation problem of the subsequent insurance is influenced.
Thus, chinese patent CN103425733A discloses a "dialog apparatus, dialog system, and dialog control method", which discloses: a dialogue device configured to perform dialogue with a driver driving a vehicle includes a storage unit, a concentration degree measurement unit, and a dialogue unit. The storage unit is configured to hold a preference database in which a dialogue candidate and a dialogue effect are associated with each other, wherein the dialogue candidate is a candidate of a dialogue content with a driver, and the dialogue effect represents a degree to which a driving concentration of the driver is improved. The concentration degree measuring unit is configured to measure a driving concentration degree of the driver. The dialogue unit is configured to select a dialogue candidate based on a dialogue effect in the preference database when the concentration measured by the concentration measurement unit falls below a predetermined threshold, then execute a dialogue using the selected dialogue candidate, calculate a dialogue effect of the dialogue based on the concentrations before and after the execution of the dialogue, and update the dialogue effect of the preference database.
The patent proposal only aims at the topic of interest of the driver, and utilizes the content of language conversation to attract the attention of the driver so as to improve the attention of the driver in driving. However, it is not ideal for use because it can only improve the concentration of the driver and cannot effectively correct the behavior of the driver such as wrong operation, drunk driving, or illegal driving.
In addition, chinese patent CN205130938U discloses "a detection device for safe driving of an automobile", which discloses: during the running process of the automobile, the speed measuring sensor can transmit the speed information to the central processing unit in time, then output signals to the automobile control mechanism controller and the alarm module, make voice warning to the driver through the loudspeaker, the driver can make corresponding answer through the microphone, the voice interaction module can analyze the information of the speed, tone and the like of the driver, compare the information with the information in the DRAM memory, and output corresponding executing signals for normal running or deceleration to the automobile control mechanism controller through the central processing unit; the face information acquisition module monitors the face information of the driver at any time, compares the face information with the information in the DRAM memory, and outputs an execution signal corresponding to normal running or deceleration to the automobile control mechanism controller through the central processing unit.
However, although the patent antecedent can detect whether the driver is distracted, overspeed or fatigue driving in real time, and give corresponding alarm prompt information, the vehicle can be forcibly decelerated if necessary, which is beneficial to reducing the occurrence rate of traffic accidents. However, the patent application only evaluates the "state" of the driver according to the content of the reply, and does not further evaluate whether the driver has eliminated dangerous driving according to the comparison of the vehicle body condition, so that it is not able to effectively record whether various driving behaviors of the driver have inappropriate places, and thus it can be used as a reference basis for calculating the amount of the insurance fee when the driver makes a guarantee in the future, or as a reference for judging the responsibility of the accident when the accident condition occurs. Meanwhile, the aforesaid patent publications do not specifically detect the state of the passenger to meet the needs of the passenger or to protect the safety of the passenger, so that the use of the above patent publications still has disadvantages.
Disclosure of Invention
In view of the above-mentioned shortcomings, the present management system and method for driving information related to the vehicle status, the driver status and the passenger status have the disadvantages.
Therefore, the present invention provides an intelligent driving management system, comprising: the central control unit is connected with a running computer in a vehicle and receives running information of the vehicle detected by the running computer; the detection module is in signal connection with the central control unit and is provided with a standard value aiming at the driving information, and when a data of the driving information is detected not to be accordant with the standard value, a voice message is sent out through the central control unit; a voice reminding module, the signal is connected to the central control unit, the voice reminding module receives the voice message and plays the voice message; a reply receiving module, the signal is connected to the central control unit, the reply receiving module receives a voice reply content and transmits the voice reply content to the central control unit, the central control unit receives the new driving information of the vehicle detected by the driving computer again according to the voice reply content, the detection module detects whether the data of the new driving information conforms to the set standard value again, a detection result is generated by the central control unit, and the detection result is judged to be normal driving or dangerous driving; and the ID identification module is in signal connection with the central control unit and carries out identification through a biological identification technology.
The voice reminding module is provided with an intelligent sound box for playing the voice message, the intelligent sound box is provided with a standby power supply, when the intelligent sound box is improperly closed, the standby power supply is utilized to provide electric power, the intelligent sound box is restarted, and when the intelligent sound box is improperly closed, the voice message that the intelligent sound box is closed can be played at the same time to remind attention.
The reply receiving module does not receive the voice reply content within an interval time, the voice reminding module repeatedly plays the voice message until the reply receiving module receives the voice reply content.
The signal transmitting module is connected to the central control unit in a signal mode, receives the detection result and records the whole process, and outputs the detection result and the recording content to a cloud server for recording.
The invention also provides an intelligent driving management method, which comprises the following steps: A. connecting an intelligent driving management system with a running computer in a vehicle, and receiving running information of the vehicle detected by the running computer; B. the intelligent driving management system sets a standard value aiming at the driving information, and sends out a voice message when detecting that the data of the driving information is not accordant with the standard value;
C. the intelligent driving management system receives a voice reply content and detects whether the new data of the driving information conforms to the standard value again according to the voice reply content; D. the intelligent driving management system generates a detection result according to the new driving information and judges whether the detection result is normal driving or dangerous driving.
And E, recording the whole process of the intelligent driving management system, and outputting the detection result and the recording content to a cloud server for recording.
The driving information includes: the vehicle state comprises whether all components of the vehicle are abnormal or failed, the driver state comprises data of one of emotion recognition, driving behavior, vehicle speed, brake information, lane offset, detection distance of an induction radar, a vehicle body lens image or any combination of the data, and the passenger state comprises data specifying a service event or sending out distress information.
And C, if the intelligent driving management system does not receive the voice reply content within an interval time, the voice message can be repeatedly played until the voice reply content is received.
And C, after the intelligent driving management system receives the voice reply content, analyzing the semantic meaning of the voice reply content firstly, judging whether the semantic meaning of the voice reply content corresponds to the semantic meaning of the sent voice message, and if the semantic meaning of the voice reply content is judged to be corresponding, detecting the new data of the driving information again.
And D, after the intelligent driving management system finishes the step D, the intelligent driving management system starts the second detection again, and the detection is continuously carried out according to the circulation mode until the vehicle engine stops working and stops running.
And D, when the data of the new driving information is detected to be in accordance with the standard value, judging that the detection result is normal driving, and when the data of the new driving information is not in accordance with the standard value, judging that the detection result is dangerous driving.
The dangerous driving items include: the dangerous driving detection method comprises the following steps of detecting one of or any combination of overspeed, red light running, level crossing, snaking, lane changing at will, improper braking, wrong gear shifting timing, turning off no turn signal, turning on no headlight, keeping the distance, paying attention to pedestrians and obstacles, and detecting the dangerous driving item by an additional sensor or an advanced driving assistance system.
When the engine of the vehicle is to be started in step a, the biometric identification technology of an ID identification module is required to identify and confirm whether the vehicle is a real driver.
And C, after the voice reply content is replied in the step C, the intelligent driving management system analyzes the meaning of the voice reply content to be help, and then informs an alarm to carry out rescue.
After the voice reply content is replied in the step C, when the intelligent driving management system analyzes the semantic meaning of the voice reply content to designate shopping, the intelligent driving management system informs the user to deliver goods to the designated place according to the service items of the designated shopping.
And B, further detecting whether the vehicle state of the vehicle is abnormal or not through the traveling computer to confirm whether all components of the vehicle are in fault or not and sending the voice message of the vehicle fault.
And C, directly connecting the intelligent driving management system through the APP in the mobile phone to control the opening of the door and the opening of the window of the vehicle and send out the sound of asking for help.
The above technical features have the following advantages:
1. the driving information of the driver can be detected to generate a detection result, the detection result is output to the cloud server and recorded, and the behavior of the dangerous driving can be proved to be generated under the condition that the driver is clearly known, so that the behavior can be used as a reference basis for calculating the premium of an insurance company in the future or a judgment reference for researching the responsibility of related accidents.
2. The driving behavior of the driver is continuously detected, and the dangerous driving behavior of the driver is corrected through continuous voice reminding, so that illegal driving, wrong driving and careless driving can be reduced, and the vehicle efficiency can be improved. Meanwhile, all the driving information of the driver is collected, analyzed, judged and recorded into big data so that the big data can be used in the future.
3. The dangerous driving items such as overspeed, red light running, level crossing, snake running, lane change at will, improper braking, wrong gear shifting timing, turning non-turn lights, non-headlight on, non-distance keeping, non-attention to pedestrians or obstacles and the like of the driver can be effectively prevented.
4. Furthermore, whether the state of the passenger is abnormal or not can be detected at any time when the passenger takes the bus, so that the personal safety of the passenger can be ensured when the passenger takes the bus.
5. Furthermore, the driving computer can detect whether the vehicle state of the vehicle is abnormal or not so as to confirm whether all components of the vehicle are in fault or not, and a voice message of vehicle fault can be sent out when the components are in fault so as to inform a driver or passengers of attention, thereby being capable of carrying out treatment or maintenance as soon as possible.
Drawings
Fig. 1 is a block diagram of an intelligent driving management system according to an embodiment of the present invention.
Fig. 2 is an operation flowchart of the intelligent driving management method according to the embodiment of the present invention.
Fig. 3 is a flow chart of detecting driving information according to the intelligent driving management method of the embodiment of the present invention.
Description of reference numerals: 1-a central control unit; 2-a detection module; 3-a voice reminding module; 31-smart sound box; 32-a backup power supply; 4-reply receiving module; 5-a signal transmitting module; 6-ID identification module; a-a traveling crane computer; b-the driver; c-passenger; d, a cloud server; e-mobile phone.
Detailed Description
Referring to fig. 1, an embodiment of the present invention is an intelligent driving management system, including: well accuse unit 1, detection module 2, pronunciation warning module 3, reply receiving module 4, signalling module 5 and ID identification module 6, wherein:
the central control unit 1 is installed in a vehicle, is connected with a running computer A in the vehicle, and continuously receives running information of the vehicle detected by the running computer A. The central control unit 1 may be an on-board diagnostic system [ OBDII ]. The driving information includes: a vehicle state of the vehicle, a driver state of a driver B, and a passenger state of a passenger C. The vehicle state includes whether all components of the vehicle are abnormal or malfunctioning. The driver state includes data such as emotion recognition, driving behavior, vehicle speed, brake information, lane offset, detection distance of an induction radar, and vehicle body lens image of the driver B. The passenger status includes a service item designated for the passenger C and whether the passenger C is in danger, such as shopping or sending a distress message.
And the detection module 2 is connected with the central control unit 1 through signals. The detection module 2 sets a standard value for the driving information, and when detecting that the data of the driving information does not conform to the set standard value, the detection module sends a voice message through the central control unit 1. For example, the standard value sets a vehicle speed of 110km/h, when the detection module 2 detects that the vehicle speed of the vehicle detected by the driving computer a exceeds 110km/h, the central control unit 1 will send the voice message, the content of the voice message, a numerical value indicating the current vehicle speed, and warning voices for reminding the driver B and the passenger C that the vehicle speed exceeds the standard value and the vehicle speed should be slowed down. For example, if the standard value is set to be more than 50m away from the preceding vehicle, if the safe distance of the vehicle is detected to be less than 50m away, the voice message of "to keep safe distance" is sent out. For example, if the wrong timing of the shift is not using the low gear (below 3) but maintaining the high gear (above 4) while going up or down the slope, the voice message "shift should be correctly performed" is generated. The detection module 2 further detects whether the driving state of the driver B and the passenger state of the passenger C are abnormal. For example, when the vehicle has not reached the destination, i.e. the vehicle is shut down without any reason or the staying time at any place exceeds the set time of the standard value, the central control unit 1 will send the voice message to remind the driver B or the passenger C to answer the correct voice reply content to confirm whether any abnormality occurs. The detection module 2 further detects whether the vehicle state of the vehicle is abnormal through the driving computer a to determine whether all components of the vehicle have faults, and if so, the voice message of the vehicle fault is also sent out to remind the driver B and the passenger C of the attention.
And the voice reminding module 3 is connected to the central control unit 1 through signals. The voice reminding module 3 receives the voice message sent by the central control unit 1 and plays the voice message. The voice reminding module 3 can be connected with an intelligent sound box 31 by a signal or connected with a loudspeaker device in the vehicle by a signal, so that the voice message can be played to remind the driver B or the passenger C of paying attention. The smart sound box 31 may be provided with a backup power source 32, so that when the smart sound box 31 is improperly turned off, the backup power source 32 can still provide power to restart the smart sound box. When the smart sound box 31 is not properly turned off, the voice message that the smart sound box 31 is to be turned off is played at the same time to remind the passenger C of paying attention.
And the reply receiving module 4 is connected with the central control unit 1 through signals. The reply receiving module 4 receives a voice reply content of the driver B or the passenger C, and transmits the voice reply content to the central control unit 1. If the driver B or the passenger C does not reply any of the voice reply contents within an interval, the voice prompt module 3 will repeatedly play the voice message until the reply receiving module 4 receives the voice reply contents of the driver B or the passenger C. For example, the voice reply content replied by the driver B is: "known to overspeed, and slow down". After receiving the voice reply content, the central control unit 1 analyzes the semantic meaning of the voice reply content, and determines whether the semantic meaning corresponds to the semantic meaning of the voice message. If the answer is corresponding to the semantic meaning of the voice message, the central control unit 1 receives the driving information that the driving computer a detected the vehicle newly according to the voice reply content again, the detection module 2 detects whether the data of the new driving information conforms to the set standard value again, and the central control unit 1 generates a detection result according to the detection. For example, the detection module 2 detects whether the vehicle speed is lower than 110km/h of a standard value, if the vehicle speed is reduced to be lower than 110km/h, the detection result is judged to be normal driving, and the detection is finished. If the vehicle speed does not fall below 110km/h, the central control unit 1 determines that the detection result is dangerous driving, and ends the detection. After the detection is finished, the central control unit 1 will start the second detection again, and continuously detect in the cycle mode, and will not stop the detection until the vehicle engine stops running. For example, when the voice reply content replied by the reply receiving module 4 by the passenger C includes shopping or help seeking information, the central control unit 1 also analyzes the semantic meaning of the voice reply content after receiving the voice reply content, and whether the semantic meaning corresponds to the semantic meaning of the voice message sent out. If the voice response corresponds to the semantic meaning of the voice message, the central control unit 1 performs the next step according to the voice response content, for example, according to the specified service item, notifies the delivery to the specified place, or according to the help-seeking information, notifies the alarm for rescue.
And the signal transmitting module 5 is connected to the central control unit 1 through signals. The signal transmitting module 5 receives the detection result and the whole-course recording generated by the central control unit 1, and outputs the detection result and the recording content to a cloud server D for recording, so as to be used as a reference basis for calculating the premium of the insurance company in the future or a judgment reference for researching the cause of the accident. Or according to the specified service items, for example, the delivery to the specified place is notified, or according to the help-seeking information, the alarm is notified.
An ID recognition module 6, signal connected to the central control unit 1. The ID recognition module 6 recognizes whether the driver B is actually driving the vehicle by biometric recognition technology, and the ignition system of the vehicle is locked and the engine of the vehicle cannot be started if the driver B is not actually driving the vehicle. The biometric identification technique includes at least one of acoustic wave identification, fingerprint identification, iris identification, and face identification. The ID recognition module 6 can further recognize the difference between the driver B and the passenger C.
The items of dangerous driving of the detection result include: speeding, running a red light, running a level crossing, snaking, changing lanes at will, turning off no turn signal, turning off no light, keeping no vehicle distance, braking improperly, shifting timing errors, lane shifting, no pedestrian notice, or no obstacle notice. The invention mainly utilizes continuous detection of the driving behavior of the driver B and continuous voice reminding to correct the dangerous driving behavior of the driver B, and can reduce illegal driving (such as: speeding, running a red light, running a level crossing, hunting, changing lanes at will, turning a non-directional light, not turning on a light or not keeping a distance), wrong-driving (e.g.: improper braking, wrong shift timing, and inattentive driving [ e.g.: lane departure, unnoticed pedestrians, unnoticed obstacles, and vehicle performance may be improved [ e.g.: remind with voice that the file should be changed correctly ]. Meanwhile, all the driving information of the driver B is collected, analyzed, judged and recorded into big data so as to be used in the future. For example, in calculating the premium, the number of dangerous driving of the driver B may be referred to consider whether the premium is to be increased. Or when the responsibility is clear, the driver B can be proved to be in the clear condition to generate the dangerous driving behavior. The dangerous driving items are detected and achieved by additionally adding a sensor or an advanced driving assistance system ADAS. The present invention further detects whether the passenger state of the passenger C is abnormal, so as to ensure the riding safety of the passenger C. Therefore, the intelligent sound box 31 can play different voice messages according to different states, so as to train the driver B to correctly reply the voice reply content, and identify the emotion of the driver B, so as to achieve the role of an artificial customer service.
Referring to fig. 2 and 3, an embodiment of the present invention is an intelligent driving management method, which is described by taking an example that a driver B drives a taxi to carry a passenger C, and is executed in cooperation with the intelligent driving management system (refer to fig. 1), and includes the following steps:
A. an intelligent driving management system is connected with a running computer A in a vehicle, and the running computer A receives running information of the vehicle detected by the running computer. The driving information includes: a vehicle status, a driver status, and a passenger status. The vehicle state includes whether all components of the vehicle are abnormal or malfunctioning, such as power output abnormality, pressure abnormality, lamp abnormality, temperature abnormality, oil leakage, and the like. The driver state comprises data such as driving behavior, vehicle speed, brake information, lane offset, detection distance of an induction radar, and vehicle body lens image. The passenger status includes specifying a service event and whether it is at risk, such as shopping or sending a distress message. When the driver B wants to start the engine of the vehicle, it needs to first use the biometric identification technology of the ID identification module 6 to identify and confirm whether the driver B is actually driving the vehicle, so as to avoid the crime of driving the vehicle by others. When the driver B starts the engine of the vehicle, the intelligent driving management system is immediately started to start executing the intelligent driving management method, so as to detect all the driving information data operated by the driver B during driving. And further detecting whether the vehicle state of the vehicle is abnormal or not through the driving computer A so as to confirm whether all components of the vehicle have faults or not.
B. The intelligent driving management system sets a standard value aiming at the driving information, and sends out a voice message when detecting that the data of the driving information is not accordant with the standard value. When the vehicle starts to run, various data such as the above-mentioned running information are generated. A central control unit 1 of the intelligent driving management system controls a detection module 2 to start so as to set a standard value aiming at the driving information. For example, the standard value of the set vehicle speed is less than 110km/h, when the detection module 2 detects that the vehicle speed detected by the driving computer a exceeds 110km/h, a voice reminding module 3 of the intelligent driving management system sends the voice message through an intelligent sound box 31, the content of the voice message indicates the current vehicle speed, and reminds the driver B and the passenger C that the vehicle speed exceeds the standard value and the warning voice such as speed should be slowed down. Or when the driver B intends to be derailed from the passenger C while traveling. For example, when the driver B intentionally travels an unintended route, i.e., a route that is not traveled along the route to the destination, the smart speaker 31 issues a voice message warning that the driver B and the passenger C are noticed. Or when the driver B has not reached the destination, i.e. the driver B goes off without any reason or stays at any place for a time longer than a set standard value, a voice message of warning "the vehicle stays too long" is also sent out to remind the driver B and the passenger C of paying attention.
C. The intelligent driving management system receives a voice reply content and detects whether the new data of the driving information conforms to the standard value again according to the voice reply content. When the driver B hears the voice message, it replies a voice reply content, for example, the voice reply content replied by the driver B is: "known to overspeed, and slow down". After receiving the voice reply content, a reply receiving module 4 of the intelligent driving management system transmits the voice reply content to the central control unit 1. And the middle control unit 1 analyzes the semantic meaning of the voice reply content to determine whether the semantic meaning corresponds to the semantic meaning of the voice message. If the semantic meaning of the voice reply content is determined to be corresponding, the central control unit 1 receives the driving information detected by the driving computer a again according to the voice reply content, and the detection module 2 detects whether the data of the new driving information conforms to the set standard value again.
The detection module 2 further detects whether the driver status of the driver B and the passenger status of the passenger C are abnormal. For example, when the driver B goes out of the predetermined route, stays for too long, or goes out of the fire due to no reason, and the voice reply content replied by the passenger C includes the semantic meaning of "ask for help", the central control unit 1 immediately alarms through the cloud server D for rescue according to the help information if the semantic meaning of the voice reply content is analyzed as ask for help by the voice reply content. Meanwhile, the passenger C can also directly connect the central control unit 1 through the APP in the mobile phone E to control the opening of the door and the opening of the window of the vehicle, and control the smart speaker 31 to send out the sound of asking for help. When the smart speaker 31 is forcibly turned off by the driver B, the passenger C can also directly provide the electric power of the smart speaker 31 through the APP in the mobile phone E by using the standby power supply 32, so as to forcibly turn on the smart speaker 31, thereby warning or scaring the driver B.
In addition, the passenger C can also provide a predetermined shopping instruction through the voice reply content replied by the reply receiving module 4, for example, the passenger C will arrive at the destination after 1 hour, and the shopping content can be pre-designated. When the central control unit 1 analyzes the semantic meaning of the voice reply content as shopping, the central control unit will notify the goods to the destination through the cloud server D according to the specified service items, wait for the passenger C to pick up, and pay for action through the vehicle to pay shopping money or vehicle resources.
The driver B can reply the corresponding voice reply content for the abnormal item occurred in the vehicle state of the vehicle to confirm that the component of the vehicle is known to be out of order and needs immediate attention, treatment or maintenance.
D. The intelligent driving management system generates a detection result according to the new driving information, and the detection result is judged to be normal driving or dangerous driving. The central control unit 1 receives the new driving information, the detection module 2 detects whether the vehicle speed is lower than 110km/h of a standard value, if the vehicle speed is reduced to be lower than 110km/h, the detection result is judged to be normal driving, and the detection is finished. If the vehicle speed does not fall below 110km/h, the central control unit 1 determines that the detection result is dangerous driving, and ends the detection. After the detection is finished, the central control unit 1 starts the second detection again, and the detection is carried out according to the circulation mode, and the detection is not stopped until the vehicle reaches the destination and the engine stops running after being shut down.
E. The intelligent driving management system outputs the detection result to a cloud server and records the detection result. A signal transmitting module 5 of the intelligent driving management system receives the detection result and the whole-course recording generated by the central control unit 1, and outputs the detection result and the recording content to a cloud server D for recording. So as to prove the behavior of the driver in the clear condition to generate the dangerous driving, which is used as the reference basis for calculating the premium amount of the insurance company in the future or the judgment reference for following up the responsibility of the accident, and can ensure the safety of the passenger C.
While the operation, use and efficacy of the present invention will be fully understood from the foregoing description of the preferred embodiments, it is to be understood that the present invention is not limited to the disclosed embodiments, but is intended to cover various modifications, equivalents and alternatives falling within the spirit and scope of the invention as defined by the appended claims and the description of the invention.
Claims (14)
1. An intelligent driving management system, comprising:
the central control unit is connected with a running computer in a vehicle, receives running information of the vehicle detected by the running computer, and directly connects an APP in a mobile phone with the central control unit to control the opening of a vehicle door and the opening of a vehicle window of the vehicle;
the detection module is in signal connection with the central control unit, a standard value is set for the driving information by the detection module, and when a data of the driving information is detected not to be consistent with the standard value, a voice message is sent out through the central control unit;
the voice reminding module is connected with the central control unit in a signal mode, receives and plays the voice message, is provided with an intelligent sound box to play the voice message, and is provided with a standby power supply to provide electric power for the intelligent sound box by using the standby power supply when the intelligent sound box is improperly closed so that the intelligent sound box is restarted;
a reply receiving module, which is connected to the central control unit by signal and receives a voice reply content, and transmitting the voice reply content to the central control unit, the central control unit receives the driving information of the vehicle detected by the driving computer again according to the voice reply content, the detection module detects whether the new data of the driving information is consistent with the set standard value again, generating a detection result through the central control unit, and judging whether the detection result is normal driving or dangerous driving, when the central control unit analyzes the semantic meaning of the voice reply content as the help, the central control unit immediately alarms to rescue according to the help information, or the central control unit is directly connected with the mobile phone through the APP in the mobile phone so as to control the opening of the vehicle door and the opening of the vehicle window of the vehicle;
and the ID identification module is in signal connection with the central control unit and carries out identification through a biological identification technology.
2. The intelligent driving management system of claim 1, wherein: and if the reply receiving module does not receive the voice reply content within an interval time, the voice reminding module repeatedly plays the voice message until the reply receiving module receives the voice reply content.
3. The intelligent driving management system of claim 1, wherein: the signal transmitting module is in signal connection with the central control unit, receives the detection result and records the whole recording, and outputs the detection result and the recording content to a cloud server for recording.
4. An intelligent driving management method is characterized by comprising the following steps:
A. connecting an intelligent driving management system with a running computer in a vehicle, and receiving running information of the vehicle detected by the running computer;
B. the intelligent driving management system sets a standard value aiming at the driving information, sends out a voice message when detecting that the data of the driving information is not accordant with the standard value, and sends out the voice message for warning when detecting that the vehicle runs on a non-preset route, is flamed out without accident or the staying time at any place exceeds the set standard value;
C. the intelligent driving management system receives a voice reply content, detects whether the new driving information data is in accordance with the standard value again according to the voice reply content, and after replying the voice reply content, the intelligent driving management system analyzes the meaning of the voice reply content to be a help, and then informs an alarm to carry out rescue, or directly connects the intelligent driving management system through an APP in a mobile phone to control the opening of a vehicle door, the opening of a vehicle window and the sending of the sound of the help;
D. and the intelligent driving management system generates a detection result according to the new driving information and judges whether the detection result is normal driving or dangerous driving.
5. The intelligent driving management method according to claim 4, wherein: and E, recording the whole process of the intelligent driving management system, and outputting the detection result and the recording content to a cloud server for recording.
6. The intelligent driving management method according to claim 4, wherein: the driving information includes: the vehicle state comprises whether all components of the vehicle are abnormal or failed, the driver state comprises data of one of emotion recognition, driving behavior, vehicle speed, brake information, lane offset, detection distance of an induction radar, a vehicle lens image or any combination of the data, and the passenger state comprises data specifying a service event or sending out distress information.
7. The intelligent driving management method according to claim 4, wherein: and C, if the intelligent driving management system does not receive the voice reply content within an interval time, repeatedly playing the voice message until the voice reply content is received.
8. The intelligent driving management method according to claim 4, wherein: and C, after the intelligent driving management system receives the voice reply content, analyzing the semantic meaning of the voice reply content firstly, judging whether the semantic meaning of the voice reply content corresponds to the semantic meaning of the sent voice message, and if the semantic meaning of the voice reply content is judged to be corresponding, detecting the new data of the driving information again.
9. The intelligent driving management method according to claim 4, wherein: and D, after the intelligent driving management system finishes the step D, restarting the second detection, continuously detecting according to the circulation mode, and stopping the detection until the vehicle engine stops working.
10. The intelligent driving management method according to claim 4, wherein: and D, when detecting that the new data of the driving information is in accordance with the standard value, judging that the detection result is normal driving, and when the new data of the driving information is not in accordance with the standard value, judging that the detection result is dangerous driving.
11. The intelligent driving management method according to claim 4, wherein: the items of dangerous driving include: the dangerous driving detection method comprises the following steps of speeding, running red light, running level crossing, snaking, changing lanes randomly, braking improperly, shifting timing mistake, turning off no direction light, turning on no headlight, keeping distance, paying attention to pedestrians, paying attention to obstacles randomly or any combination thereof, and the detection of dangerous driving items is realized by an additional sensor or an advanced driving assistance system.
12. The intelligent driving management method according to claim 4, wherein: when the engine of the vehicle is to be started in step a, the biometric technology of an ID recognition module is required to recognize and confirm whether the vehicle is a real driver.
13. The intelligent driving management method according to claim 4, wherein: and C, after replying the voice reply content, when the intelligent driving management system analyzes the semantic meaning of the voice reply content to designate shopping, notifying delivery to a designated place according to the service items of the designated shopping.
14. The intelligent driving management method according to claim 4, wherein: and step B, further detecting whether the vehicle state of the vehicle is abnormal or not through the traveling computer to confirm whether all components of the vehicle are in fault or not and sending the voice message of the vehicle fault.
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