TW202021848A - Smart driving management system and method - Google Patents

Abstract

The invention relates to a smart driving management system and method. The management system includes a central control unit, a detecting module, a voice reminding module, a reply receiving module and a signal transmitting module. The management method includes: (A) connecting a management system to a driving computer and receives driving information of a vehicle detected by the driving computer; (B) the management system setting a standard value for the driving information, and issuing a voice message when the data of the detected driving information does not match the standard value; (C) the management system receiving a voice reply content, and making re-checking if new driving information matches the standard value according to the voice reply content; and (D) the management system generating a detection result based on the new driving information, and determining whether the detection result is normal driving or dangerous driving.

Description

Intelligent driving management system and method

The present invention relates to a smart type that can determine whether the driver is normal driving or dangerous driving based on the driving information of the driver, and collect and record data, which can be used as big data in the future and ensure the safety of passengers. Driving management system and method.

As the performance of the current vehicle is getting better and better, the relative requirements for the driving behavior of the driver are extremely strict, so as to ensure the safety of the driver and others. However, every driver's driving behavior is uneven, and traffic accidents often occur due to negligence, wrong operation, fatigue driving or drunk driving. Due to the limited capabilities of traffic accident identification equipment and identification personnel, it is impossible to effectively and accurately determine all traffic accidents. Therefore, it will be difficult to clarify the responsibilities of both parties to the accident, and this may even affect the follow-up insurance claims.

Therefore, there is the invention No. CN103425733A "Dialogue Device, Dialogue System, and Dialogue Control Method" patent case disclosed on December 4, 2013 in Mainland China, which discloses that the dialogue device configured to conduct a dialogue with the driver of the vehicle includes Storage unit, concentration measurement unit and dialogue unit. The storage unit is configured to store a preference database in which the dialogue candidates and dialogue effects are associated with each other, wherein the dialogue candidates are candidates for the content of the dialogue with the driver, and the dialogue effect represents the driver’s driving concentration The degree of improvement. The concentration measuring unit is configured to measure the driving concentration of the driver. The dialogue unit is configured to select dialogue candidates based on the dialogue effect in the preference database when the degree of concentration measured by the concentration measurement unit drops below a predetermined threshold, and then execute the dialogue using the selected dialogue candidates, based on the execution of the dialogue and execution The degree of concentration after the dialogue is used to calculate the dialogue effect of the dialogue and update the dialogue effect of the preference database.

The previous patent case only focuses on topics that are of interest to drivers, and uses the content of verbal dialogue to attract the attention of drivers and improve their driving concentration. However, it can only improve the driver's concentration, and cannot effectively correct the driver's operation errors, drunk driving, or illegal driving, so it is not ideal for use.

There is also a patent case of Utility Model No. CN205130938U "A Vehicle Safe Driving Detection Device" announced on April 6, 2016 in Mainland China, which discloses that the speed sensor will transmit the vehicle speed information to the center in a timely manner while the vehicle is running. The processor then outputs the signal to the car control mechanism controller and the alarm module, and gives a voice warning to the driver through the speaker. The driver can make a corresponding answer through the microphone. The voice interaction module will analyze the driver’s speech speed, intonation and tone And other information, and compared with the information in the DRAM memory, the central processor outputs the corresponding normal driving or deceleration execution signal to the car operating mechanism controller; the facial information collection module monitors the driver’s facial information at any time, and compares it with the DRAM memory Comparison of the information, the central processing unit outputs the corresponding normal driving or deceleration execution signal to the car operating mechanism controller.

However, although the previous patent case can detect whether the driver is distracted, speeding or fatigued driving in real time, and give corresponding warning information, it can force the vehicle to slow down if necessary, which helps reduce the incidence of traffic accidents. However, the previous patent case only evaluates the driver’s "state" based on the content of the reply, and does not further evaluate whether the driver has eliminated dangerous driving actions based on the vehicle body condition, so it cannot effectively record the driver. Whether there are any improprieties in the various driving behaviors, it can be used as a reference basis for future drivers to calculate the amount of insurance premiums when they apply for insurance, or when an accident occurs, it can also be used as a reference for judging responsibility for the accident. At the same time, the previous patents mentioned above did not specifically detect the status of passengers in order to meet the needs of passengers or protect the safety of passengers, so there are still shortcomings in use.

In view of this, in view of the current driving information management systems and methods regarding vehicle status, driver status, and passenger status have the above-mentioned shortcomings.

Therefore, the present invention provides an intelligent driving management system, which includes: a central control unit connected to a trip computer in a vehicle, and receives the trip information of a vehicle detected by the trip computer; and a detection module The signal is connected to the central control unit. The detection module sets a standard value for the driving information. When detecting that a data of the driving information does not match the standard value, it will send a voice through the central control unit Message; a voice reminder module, the signal is connected to the central control unit, the voice reminder module receives the voice message and plays it; a reply receiving module, the signal is connected to the central control unit, the reply receiving module The system receives a voice response content and transmits the voice response content to the central control unit. Based on the voice response content, the central control unit again receives the new driving information of the vehicle detected by the driving computer, and the detection module The group again detects whether the new driving information data is consistent with the set standard value, generates a detection result through the central control unit, and determines whether the detection result is normal driving or dangerous driving; an ID recognition module, The signal is connected to the central control unit and is identified through a biometric technology.

The above voice reminder module is equipped with a smart speaker to play the voice message. The smart speaker is provided with a backup power source to provide power to the smart speaker when the smart speaker is improperly turned off. When the smart speaker is turned off improperly, the voice message that the smart speaker will be turned off will be played at the same time to remind attention.

If the reply receiving module does not receive the voice reply content within an interval, the voice reminder module will play the voice message repeatedly, and will not stop until the reply receiving module receives the voice reply content.

A signal transmitter module is further provided, the signal transmitter module is connected to the central control unit, the signal transmitter module receives the detection result and records the whole process, and outputs the detection result and recording content to a cloud server And keep a record.

The present invention is also an intelligent driving management method, including the following steps: A. Connect an intelligent driving management system to a driving computer in a vehicle, and receive driving information of a vehicle detected by the driving computer B. The intelligent driving management system sets a standard value for the driving information, and when it detects that the data of the driving information does not match the standard value, it will send out a voice message; C. The intelligent driving management system receives a voice Reply to the content, and based on the voice response, check again whether the new driving information data matches the standard value; D. The intelligent driving management system generates a detection result based on the new driving information, and determines the detection result It is a normal driving or a dangerous driving.

It further includes a step E. The intelligent driving management system records the whole process, and outputs the detection result and recording content to a cloud server for recording.

The above-mentioned driving information includes: a vehicle status, a driver status, and a passenger status. The vehicle status includes whether all components of the vehicle are abnormal or malfunctioning. The driver status includes an emotion recognition, a driving behavior, a speed, a The data of one or any combination of braking information, a lane offset, a detection distance of an induction radar, a vehicle body lens image, and the passenger status includes specifying a service item or sending a distress message.

The intelligent driving management system in the above step C. does not receive the voice response content within an interval, it will play the voice message repeatedly, and will not stop until the voice response content is received.

The above step C. After the intelligent driving management system receives the content of the voice response, it first analyzes the semantics of the voice response content and whether it corresponds to the semantics of the voice message sent out. If it is determined that the semantics of the voice response content is If it is corresponding, the data of the new driving information will be tested again.

After the above-mentioned intelligent driving management system finishes step D., it will start the second detection again, and continue the detection according to this cycle mode, and stop the detection until the engine of the vehicle stops running.

In the above step D. When detecting that the new driving information data matches the standard value, it is determined that the detection result is the normal driving, and when the new driving information data does not match the standard value, it is determined that the detection The result is that dangerous driving.

The above-mentioned dangerous driving items include: speeding, running red lights, crossing level crossings, snaking, changing lanes arbitrarily, improper braking, wrong gear shift timing, turning without turning on the direction lights, not turning on the headlights, not maintaining the distance, not paying attention to pedestrians, Failure to pay attention to one of the obstacles or any combination thereof, and the detection of the dangerous driving item is achieved by an additional sensor or an advanced driving assistance system.

In the above step A. When you want to start the engine of the vehicle, you need to use the biometric technology of an ID recognition module to identify and confirm whether it is the real driver of the vehicle.

In the above step B. it is detected that the vehicle is driving on an unscheduled route, is turned off for no reason, or the stay time at any place exceeds the set standard value, the voice message of warning will be issued, and the response will be given in step C. After the content of the voice response, the intelligent driving management system analyzes the semantics of the voice response content as asking for help, it will notify the police for rescue.

In the above step C. After replying to the content of the voice response, when the intelligent driving management system analyzes the semantics of the voice response content as designated shopping, it will notify the delivery to the designated location according to the designated shopping service items.

In the above step B. Further detect whether the vehicle status of the vehicle is abnormal through the trip computer to confirm whether all components of the vehicle are malfunctioning, and send the voice message of the vehicle malfunction.

In the above step C., the smart driving management system is directly connected through an APP in a mobile phone to control the opening of the doors and windows of the vehicle and the sound of calling for help.

The above technical features have the following advantages:

1. It can detect the driving information of the driver to generate a test result, and output the test result to the cloud server and record it, and can prove that the driver is in a known situation, causing the above-mentioned dangerous driving The behavior shall be used as a reference basis for future insurance companies to calculate the amount of premiums, or as a judgment reference for investigating the liability for related accidents.

2. The use of continuous detection of the driver's driving behavior and continuous voice reminders to correct the driver's dangerous driving behavior can reduce illegal driving, wrong driving and negligent driving, and improve vehicle efficiency. At the same time, all the driving information of the driver is collected, analyzed, judged and recorded into a large data, so that the large data can be used in the future.

3. The system can effectively prevent drivers from speeding, running red lights, crossing level crossings, snaking, arbitrarily changing lanes, improper braking, wrong gear shift timing, turning lights without turning on, turning on headlights, not maintaining distance, and not paying attention to pedestrians Or fail to pay attention to obstacles and other dangerous driving items.

4. It is further possible to detect whether the passenger's passenger status is abnormal at any time, so as to ensure the personal safety of the passenger while riding.

5. Furthermore, it is possible to detect whether the vehicle status of the vehicle is abnormal through the trip computer, so as to confirm whether all the components of the vehicle are malfunctioning, and when the malfunction occurs, a voice message of vehicle malfunction will be issued to notify the driver or passengers to pay attention. This allows disposal or repair as soon as possible.

Please refer to the first figure. The embodiment of the present invention is an intelligent driving management system, which includes: a central control unit (1), a detection module (2), a voice reminder module (3), and a reply receiving module Group (4), signal transmission module (5) and ID identification module (6), among them:

The central control unit (1), which can be installed in a vehicle and connected with a trip computer (A) in the vehicle, and continuously receives that the trip computer (A) detects that one of the vehicles is running News. The central control unit (1) can be an on-board diagnostic system (OBDII). The driving information includes: a vehicle status of the vehicle, a driver status of a driver (B), and a passenger status of a passenger (C). The state of the vehicle includes whether all components of the vehicle are abnormal or malfunctioning. The driver's state includes the driver's (B) emotion recognition, driving behavior, vehicle speed, braking information, lane offset, detection distance of the sensor radar, and vehicle body lens image. The passenger status includes a designated service item of the passenger (C) and whether it is in danger, such as shopping or sending out a distress message.

The detection module (2) is signal connected to the central control unit (1). The detection module (2) sets a standard value for the driving information, and when detecting that the data of the driving information does not match the set standard value, it sends a voice message through the central control unit (1). For example, the standard value is to set the vehicle speed to 110km/h. When the detection module (2) detects that the vehicle speed detected by the trip computer (A) exceeds 110km/h, the central control unit (1) The voice message will be issued. The content of the voice message is to explain the value of the current vehicle speed, and to remind the driver (B) and the passenger (C) to note that it has exceeded the standard value and should slow down. For another example, the standard value is set to keep a safe distance of more than 50m from the vehicle ahead. If the safety distance of the vehicle is detected to be less than 50m, the voice message "Safe distance should be maintained" will be sent out. For another example, when the low gear (below 3rd gear) is not used when going up and downhill, and the wrong gear shift timing of the high gear (above 4th gear) is still maintained, the voice message "should be shifted correctly" will be issued. 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 arrived at the destination, that is, it is turned off for no reason or the stay time at any place exceeds the set time of the standard value, the central control unit (1) will send out the voice message to remind the driver The person (B) or the passenger (C) needs to answer the correct voice response content to confirm whether there is any abnormality. In addition, the detection module (2) further detects whether the vehicle status of the vehicle is abnormal through the trip computer (A) to confirm whether all the components of the vehicle are malfunctioning. If there is any abnormality, the vehicle malfunctions The voice message to remind the driver (B) and the passenger (C) to pay attention.

The voice reminder module (3) is signal connected to the central control unit (1). The voice reminding module (3) receives the voice message sent by the central control unit (1) and plays it. The voice reminder module (3) can be connected to a smart speaker (31) or a speaker device in the vehicle, so that the voice message can be played to remind the driver (B) or the passenger (C) Attention. In addition, the smart speaker (31) can be provided with a backup power source (32) to provide that when the smart speaker (31) is improperly turned off, there is still the backup power source (32) that can provide power to restart it. In addition, when the smart speaker (31) is improperly turned off, the voice message that the smart speaker (31) will be turned off will be played at the same time to remind the passenger (C) to pay attention.

The reply receiving module (4), the signal is connected to the central control unit (1). 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 to any of the voice reply content within an interval, the voice reminder module (3) will play the voice message repeatedly until the reply is received. The group (4) will stop only after receiving the voice reply from the driver (B) or the passenger (C). For example, the content of the voice response that the driver (B) replied is: "I know of speeding and slowing down." After receiving the voice response content, the central control unit (1) analyzes the semantics of the voice response content and whether it corresponds to the semantics of the voice message sent. If it corresponds to the semantic meaning of the voice message, the middle control unit (1) receives the new driving information of the vehicle detected by the trip computer (A) again according to the voice response content, and the detection module (2) ) Check again whether the new driving information data matches the set standard value, and generate a detection result through the central control unit (1) according to the detection. For example, the detection module (2) detects whether the vehicle speed is lower than the standard value of 110km/h. If the vehicle speed has dropped below 110km/h, it is determined that the detection result is normal driving, and the detection is ended. If the vehicle speed has not dropped below 110km/h, the central control unit (1) will determine that the test result is dangerous driving and end the test. After the detection is completed, the central control unit (1) will start the second detection again, and continuously perform the detection in this cycle mode, and will not stop the detection until the engine of the vehicle stops running. For another example, when the voice reply content of the passenger (C) to the reply receiving module (4) contains a shopping or distress message, the central control unit (1) also receives the voice reply content. Analyze the semantics of the voice response content and whether it corresponds to the semantics of the voice message sent. If it corresponds to the semantic meaning of the voice message, the middle control unit (1) will proceed to the next step according to the content of the voice response, for example, according to the designated service items, notify the delivery to the designated place, or according to the call for help Message, and notify the police for rescue.

The signal transmitting module (5) is connected to the central control unit (1). The signal transmitting module (5) receives the detection result and the entire recording generated by the central control unit (1), and outputs the detection result and recording content to a cloud server (D) and records it for It is the reference basis for future insurance companies to calculate the amount of premiums, or the judgment reference for the investigation of liability for accidents. Or according to designated service items, such as notification of delivery to a designated location, or according to the distress message, an alarm will be notified.

The ID recognition module (6) is signal connected to the central control unit (1). The ID recognition module (6) uses biometric technology to recognize whether the driver (B) is actually driving the vehicle. If the driver (B) is not actually driving the vehicle, the vehicle will be locked The ignition system of the vehicle cannot start the engine of the vehicle. The biometric recognition technology includes at least one of sonic recognition, fingerprint recognition, iris recognition, and face recognition. The ID recognition module (6) can further recognize the difference between the driver (B) and the passenger (C).

The dangerous driving items of the above detection results include: speeding, running red lights, crossing level crossings, snaking, changing lanes arbitrarily, turning without turning on the direction lights, not turning on the headlights, not maintaining the distance between vehicles, improper braking, wrong gear shift timing, lanes Deviation, failure to pay attention to pedestrians or obstacles. The present invention mainly uses continuous detection of the driving behavior of the driver (B) and continuous voice reminders to correct the dangerous driving behavior of the driver (B) and reduce illegal driving (for example: speeding, running red lights, crossing a level crossing, Snaking, changing lanes arbitrarily, turning without turning on the direction lights, not turning on the headlights or not maintaining the distance between vehicles], wrong driving (e.g. improper braking, wrong gear shift timing), and negligent driving (e.g. lane deviation, not paying attention to pedestrians, failing Pay attention to obstacles], and can improve vehicle performance (for example: voice reminder to change gears correctly). At the same time, all the driving information of the driver (B) is collected, analyzed, judged and recorded into a big data, so that the big data can be used in the future. For example, when calculating the premium, you can refer to the number of times the driver (B) has dangerous driving to determine whether to increase the premium. Or, when clarifying the responsibility for the cause of the accident, it can be used to prove that the driver (B) knowingly caused the above-mentioned dangerous driving behavior. The detection of the above-mentioned dangerous driving items is achieved by adding a sensor or an advanced driver assistance system (ADAS). The present invention further detects whether the passenger status of the passenger (C) is abnormal to ensure the safety of the passenger (C). By using the smart speaker (31), different voice messages can be played according to different states, so as to train the driver (B) to correctly reply to the voice reply content, which can be used to identify the driver (B)’s emotions. To achieve the role of a human customer service.

Please refer to the second and third figures, the embodiment of the present invention is an intelligent driving management method, taking a driver (B) driving a taxi and carrying a passenger (C) as an example for illustration, and cooperates with the above The intelligent driving management system (please refer to the first figure) is implemented, which includes the following steps:

A. Connect an intelligent driving management system with a trip computer (A) in a vehicle, and receive the trip information of a vehicle detected by the trip computer. The driving information includes: a vehicle status, a driver status, and a passenger status. The state of the vehicle includes whether all components of the vehicle are abnormal or faulty, such as abnormal power output, abnormal pressure, abnormal light signal, abnormal temperature, and oil leakage. The driver state includes data such as driving behavior, vehicle speed, braking information, lane offset, detection distance of the sensor radar, and vehicle body lens image. The passenger status includes specifying a service item and whether it is in danger, such as shopping or sending out a distress message. When the driver (B) wants to start the engine of the vehicle, he needs to use the biometric technology of the ID recognition module (6) to identify and confirm whether the driver (B) is actually driving the vehicle to avoid being The other person pretended to drive the vehicle to commit a crime. And when the driver (B) starts the engine of the vehicle, he immediately activates the intelligent driving management system to start the intelligent driving management method to detect all driving information under the operation of the driver (B) while driving的数据。 The data. And further detect whether the vehicle state of the vehicle is abnormal through the trip computer (A) to confirm whether all components of the vehicle are malfunctioning.

B. The intelligent driving management system sets a standard value for the driving information, and when it detects that the data of the driving information does not match the standard value, it will send out a voice message. When the vehicle starts to drive, various data such as the above-mentioned driving information will be generated. A central control unit (1) of the intelligent driving management system controls a detection module (2) to start to set a standard value for the driving information. For example, the standard value of the vehicle speed is set below 110km/h. When the detection module (2) detects that the speed of the vehicle detected by the trip computer (A) exceeds 110km/h, the intelligent driving management system A voice reminder module (3) will send out the voice message through a smart speaker (31). The content of the voice message indicates the current speed value and reminds the driver (B) and the passenger (C) Note that it has exceeded the standard value, and the speed should be slowed down. Or when the driver (B) intends to be unruly toward the passenger (C) while driving. For example, when the driver (B) deliberately drives on an unscheduled route, that is, a route that is not along the road to reach the destination, the smart speaker (31) will send out a voice message "beyond the planned route" warning. Remind the driver (B) and the passenger (C) to pay attention. Or when the driver (B) has not yet arrived at the destination, that is, the engine is turned off for no reason or the stay time at any place exceeds the set standard value, the voice message of "the vehicle stays too long" will also be issued. To remind the driver (B) and the passenger (C) to pay attention.

C. The intelligent driving management system receives a voice response content, and according to the voice response content, detects again whether the new driving information data matches the standard value. When the driver (B) hears the above-mentioned voice message, he will reply with a voice reply content. For example, the voice reply content of the reply by the driver (B) is: "I know of speeding and slowing 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). The middle control unit (1) analyzes whether the semantic meaning of the voice reply content corresponds to the semantic meaning of the voice message sent out. If it is determined that the semantics of the voice reply content is corresponding, the middle control unit (1) receives the new trip information detected by the trip computer (A) again according to the voice reply content, and the detection module ( 2) Check again whether the new data of the driving information matches the set standard value.

The detection module (2) further detects whether the driver state of the driver (B) and the passenger state of the passenger (C) are abnormal. For example, when the driver (B) has exceeded the scheduled route, stayed for too long, or turned off for no reason, as long as the voice response content of the passenger (C)'s reply contains semantics such as "help", the central control unit (1) When parsing the semantics of the voice response content as distress, according to the distress message, the cloud server (D) will immediately alarm for rescue. At the same time, the passenger (C) can also directly connect to the central control unit (1) through an APP in a mobile phone (E) to control the opening of the doors and windows of the vehicle, and control the smart speaker (31) to emit The voice for help. When the smart speaker (31) is forcibly turned off by the driver (B), the passenger (C) can also directly use the standby power supply (32) to provide the smart speaker (31) through the APP in the mobile phone (E) ) To force it to start to warn or deter the driver (B).

In addition, the passenger (C) can also use the voice response content of the reply receiving module (4) to give instructions for pre-ordering shopping. For example, the passenger (C) will arrive at the destination in 1 hour and can pre-designate shopping Content. When the central control unit (1) parses the semantics of the voice reply as shopping, it will notify the cloud server (D) to deliver the goods to the destination according to the designated service items, and wait for the passenger (C ) Withdrawal and mobile payment can be made through the vehicle to pay for shopping or fare.

In addition, the driver (B) can respond to the corresponding voice response content for the abnormal item in the vehicle state of the vehicle to confirm that the component of the vehicle is known to be malfunctioning and needs immediate attention, treatment or maintenance.

D. The intelligent driving management system generates a detection result based on the new driving information, and the detection result is determined to be normal driving or dangerous driving. The central control unit (1) receives the new driving information, and the detection module (2) detects whether the vehicle speed is lower than the standard value of 110km/h. If the vehicle speed has dropped below 110km/h, it is determined The test result is normal driving, and this test is ended. If the vehicle speed has not dropped below 110km/h, the central control unit (1) will determine that the detection result is dangerous driving and end the detection. After the central control unit (1) finishes the detection, it will start the second detection again, and perform the detection in this loop mode. The detection will not stop until the vehicle reaches the destination and the engine stops running.

E. The intelligent driving management system outputs the detection result to a cloud server and records it. A signal transmitting module (5) of the intelligent driving management system receives the detection result and the entire recording generated by the central control unit (1), and outputs the detection result and recording content to a cloud server (D ) And make a record. In order to prove that the driver is in a known situation, the above-mentioned dangerous driving behavior is used as a reference basis for future insurance companies to calculate the amount of insurance premiums, or as a judgment reference for investigating the responsibility of the accident, and to ensure that the passenger (C) The safety.

Based on the descriptions of the above embodiments, the operation, use and effects of the present invention can be fully understood, but the above-mentioned embodiments are only preferred embodiments of the present invention, and cannot be used to limit the implementation of the present invention. The scope, that is, simple equivalent changes and modifications made in accordance with the scope of the present invention's patent application and the description of the invention, is within the scope of the present invention.

(1): Central control unit (2): Detection module (3): Voice reminder module (31): Smart speaker (32): Backup power supply (4): Reply receiving module (5): Signal transmitter module (6): ID recognition module (A): trip computer (B): driver (C): passenger (D): cloud server (E): mobile phone

[The first figure] is a configuration block diagram of an intelligent driving management system according to an embodiment of the present invention.

[The second figure] is an operation flowchart of the intelligent driving management method according to the embodiment of the present invention.

[The third figure] is a flow chart of driving information detection in the intelligent driving management method of the embodiment of the present invention.

(1): Central control unit

(2): Detection module

(3): Voice reminder module

(31): Smart speaker

(32): Backup power

(4): Reply receiving module

(5): Signal transmitter module

(6): ID recognition module

(A): Trip computer

(B): Driver

(C): Passenger

(D): Cloud server

(E): mobile phone

Claims (17)

An intelligent driving management system, including: a central control unit, which is connected to a trip computer in a vehicle, and receives the trip information of a vehicle detected by the trip computer; a detection module, which is a signal Connected to the central control unit, the detection module sets a standard value for the driving information, and when detecting that a data of the driving information does not match the standard value, a voice message will be sent through the central control unit; a voice The reminder module is a signal connected to the central control unit, and the voice reminder module receives the voice message and plays it; a reply receiving module is a signal connected to the central control unit, and the reply receiving module receives a Voice response content and send the voice response content to the central control unit. The central control unit receives the new driving information of the vehicle detected by the driving computer according to the voice response content, and the detection module detects the new driving information again Whether the data of the driving information matches the set standard value, the central control unit generates a detection result, and determines that the detection result is normal driving or dangerous driving; an ID recognition module is connected to the signal The central control unit is identified through a biometric technology. For example, the intelligent driving management system described in item 1 of the scope of patent application, wherein the voice reminder module is provided with a smart speaker to play the voice message, and the smart speaker is provided with a backup power supply to provide the smart speaker to be turned off improperly When the standby power supply is used to provide power to start the smart speaker again, and the smart speaker is improperly turned off, the voice message that the smart speaker will be turned off will be played at the same time to remind attention. For example, the intelligent driving management system described in item 1 of the scope of patent application, wherein the reply receiving module does not receive the voice reply content within an interval, the voice reminder module will repeatedly play the voice message, It will not stop until the reply receiving module receives the content of the voice reply. For example, the intelligent driving management system described in item 1 of the scope of patent application is further provided with a signal transmitting module, which is connected to the central control unit, and the signal transmitting module receives the detection result and records the whole process. , And output the detection result and recording content to a cloud server for recording. An intelligent driving management method, including the following steps: A. Connect an intelligent driving management system with a trip computer in a vehicle, and receive the driving information of a vehicle detected by the trip computer; B. The The intelligent driving management system sets a standard value for the driving information, and when it detects that the data of the driving information does not match the standard value, it will send out a voice message; C. The intelligent driving management system receives a voice response content, and According to the content of the voice response, check again whether the new driving information data matches the standard value; D. The intelligent driving management system generates a detection result based on the new driving information, and determines that the detection result is a normal Driving or a dangerous driving. For example, the intelligent driving management method described in item 5 of the scope of patent application further includes a step E. The intelligent driving management system records the whole process, and outputs the detection result and recording content to a cloud server for recording. For example, the intelligent driving management method described in item 5 of the scope of patent application, wherein the driving information includes: a vehicle status, a driver status, and a passenger status, and the vehicle status includes whether all components of the vehicle are abnormal or malfunctioning, The driver state includes the data of one of an emotion recognition, a driving behavior, a vehicle speed, a braking message, a lane offset, a detection distance of an induction radar, a vehicle body lens image, or any combination thereof, The passenger status includes designating a service item or sending out a distress message. For example, the intelligent driving management method described in item 5 of the scope of patent application, wherein the intelligent driving management system in step C. does not receive the voice response content within an interval, and the voice message will be played repeatedly. It will not stop until the voice reply is received. For example, the intelligent driving management method described in item 5 of the scope of patent application, wherein, step C. After the intelligent driving management system receives the voice response content, it first analyzes the semantic meaning of the voice response content and whether it is the same as the one sent If the semantics of the voice message is corresponding, if the semantics of the voice reply content is determined to be corresponding, the data of the new driving information will be detected again. For example, the intelligent driving management method described in item 5 of the scope of patent application, wherein the intelligent driving management system will start the second test again after finishing step D., and continue the test in this loop mode until the The detection stops only when the vehicle engine stalls and stops driving. For example, the intelligent driving management method described in item 5 of the scope of patent application, wherein in the step D. detecting that the new driving information data matches the standard value, it is determined that the detection result is the normal driving, and the new When the data of the driving information does not match the standard value, the detection result is determined to be the dangerous driving. For example, the intelligent driving management method described in item 5 of the scope of patent application, where the dangerous driving items include: speeding, running red lights, crossing level crossings, snaking, changing lanes arbitrarily, improper braking, wrong gear shift timing, and not turning. Turning on the direction lights, not turning on the headlights, not keeping the distance between vehicles, not paying attention to pedestrians, not paying attention to obstacles, or any combination thereof, and the detection of dangerous driving items is an additional sensor or an advanced driving assistance Achieved by the system. For example, the intelligent driving management method described in item 5 of the scope of patent application, in which step A. When you want to start the engine of the vehicle, it is necessary to first use a biometric identification technology of an ID recognition module to identify and confirm whether it is the The real driver of the vehicle. Such as the intelligent driving management method described in item 5 of the scope of patent application, wherein in step B. it is detected that the vehicle is driving on an unscheduled route, is stalled for no reason, or the stay time at any place exceeds the set standard value, The voice message of warning will be sent out, and in step C. After replying to the content of the voice response, the intelligent driving management system parses the semantics of the content of the voice response as asking for help, and will notify the police for rescue. For example, the intelligent driving management method described in item 5 of the scope of patent application, wherein, in step C. After replying to the voice response content, the intelligent driving management system parses the semantics of the voice response content as designated shopping, then According to the designated shopping service items, the delivery will be notified to the designated location. For example, the intelligent driving management method described in item 5 of the scope of patent application, wherein in step B. further detecting whether the vehicle state of the vehicle is abnormal through the trip computer to confirm whether all components of the vehicle are malfunctioning, and send the The voice message of the vehicle breakdown. For example, the intelligent driving management method described in item 5 of the scope of patent application, wherein in step C. is to directly connect to the intelligent driving management system through an APP in a mobile phone to control the opening of the doors and windows of the vehicle Turn on and make a call for help.

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