TWI694020B - Smart driving management system and method - Google Patents

Abstract

The present invention relates to smart driving management system and method. The management system includes a central control unit, a detection module, a voice reminding module, a reply receiving module, and a signal transmitting module. The management method includes: A. providing a management system communicating with an automotive electronic diagnosis unit of a vehicle to receive driving information of the vehicle detected by the automotive electronic diagnosis unit; B. the management system setting a standard value for the driving information and sending out a voice message when detecting that data of the driving information does not meet the standard value; C. the management system receiving a voice reply content and detecting whether data of new driving information meets the standard value according to the voice reply content; D. the management system generating a detection result based on the new driving information and determining that 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 a driver is a normal driver or a dangerous driver according to the driving information of the driver, and collect and record data for future use as big data and to 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, the driving behavior of every driver is uneven, and traffic accidents often occur due to negligence, wrong operation, fatigued driving or drunk driving. Due to the limited capabilities of traffic accident identification equipment and identification personnel, and the inability to effectively and accurately determine all traffic accidents, it is difficult to clarify the responsibilities of the two parties involved, and even affect the subsequent insurance claims.

Therefore, there is the patent case of the invention No. CN103425733A "Dialog Device, Dialogue System and Dialogue Control Method" published on December 4, 2013 in Mainland China, which discloses that the dialogue device configured to conduct 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 dialogue candidates and dialogue effects are associated with each other, where the dialogue candidates are candidates for the dialogue content with the driver, and the dialogue effect indicates that the driver is focused on driving 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 a dialogue candidate based on the dialogue effect in the preference database when the concentration measured by the concentration measurement unit falls below a predetermined threshold Item, and then execute the dialogue using the selected dialogue candidate, calculate the dialogue effect of the dialogue based on the concentration before and after executing the dialogue, and update the dialogue effect of the preference database.

The previous case of the patent was only aimed at topics that the driver was interested in, using the content of language dialogue to attract the driver’s attention in order to increase the concentration of his driving. However, it can only improve the driver's concentration, and cannot effectively correct the driver's operation errors, drunk driving or illegal driving behaviors, so it is not ideal for use.

In addition, the patent case of the utility model No. CN205130938U announced on the mainland of China on April 6, 2016, "A kind of vehicle safe driving detection device", it is disclosed that during the driving process of the car, the speed sensor will transmit the speed information to the center in time The processor then outputs a signal to the controller and alarm module of the car's control mechanism. The speaker gives a voice warning to the driver through the speaker. The driver can respond accordingly through the microphone. The voice interaction module analyzes the driver's 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 control mechanism controller; the facial information collection module monitors the driver's facial information at any time, and the DRAM memory The information is compared, and the central processor outputs an execution signal corresponding to normal driving or deceleration to the vehicle operating mechanism controller.

However, although the previous case of the patent can immediately detect whether the driver is distracted, speeding or fatigue driving, and give the corresponding alarm prompt information, if necessary, the vehicle can be forced to slow down, which helps reduce the incidence of traffic accidents. However, the previous case of the patent only evaluated the "state" of the driver based on the content of the reply, and there was no further evaluation of whether the driver has excluded dangerous driving actions based on the comparison of the body condition, so the driver cannot be effectively recorded. Whether the various driving behaviors are improper, it can be used as a reference basis for calculating the amount of insurance premiums when the driver is insured in the future, or can be used as a reference for judging the responsibility for the accident when there is an accident. At the same time, the aforementioned patent case does not specifically detect the passenger status to meet the needs of passengers or protect the safety of passengers, so there are still deficiencies in use.

Secondly, in view of the fact that there are currently management systems and methods for driving information on the vehicle state, the driver state, and the passenger state, they have the above-mentioned disadvantages.

Therefore, the present invention provides an intelligent driving management system, including: a central control unit, which is connected to a driving computer in a vehicle, and receives driving information that the driving computer detects one of the vehicles; a detection mode Group, the signal is connected to the central control unit, the detection module sets a standard value for the driving information, and when a data of the driving information is detected does not match the standard value, a voice will be issued 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 reply content, and transmits the voice reply content to the central control unit. The central control unit receives the traffic computer to detect the new driving information of the vehicle again according to the voice reply content. The detection mode The group again detects whether the new data of the driving information is consistent with the set standard value, generates a detection result through the central control unit, and determines that 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 by a biometrics technology.

The above voice reminder module is equipped with a smart speaker, so as to play the voice message, the smart speaker is provided with a backup power supply to provide power when the smart speaker is improperly turned off, and use the backup power supply to provide a power to restart the smart speaker, 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 the attention.

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

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

The present invention is also a smart driving management method, which includes the following steps: A. Connect a driving computer in a vehicle with an intelligent driving management system, and receive driving information that the driving computer detects one of the vehicles ; B. The intelligent driving management system sets a standard value for the driving information, and when it detects that the driving information data does not match the standard value, a voice message will be issued; C. The intelligent driving management system receives a voice Reply the content, and according to the voice reply content, again detect whether the new driving information data is consistent with the standard value; D. The intelligent driving management system generates a detection result based on the new driving information, and determine 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 the recorded content to a cloud server for recording.

The above driving information includes: a vehicle state, a driver state, and a passenger state. The vehicle state includes whether all components of the vehicle are abnormal or malfunction. The driver state includes an emotion recognition, a driving behavior, a speed, a The data of one of the braking information, a lane offset, the detection distance of a sensor radar, a car body lens image, or any combination thereof, 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 reply content within an interval, it will play the voice message repeatedly, and will not stop until the voice reply content is received.

The above step C. After the intelligent driving management system receives the voice reply content, it first analyzes the semantic meaning of the voice reply content, whether it corresponds to the semantic meaning of the voice message sent, such as If it is determined that the semantic meaning of the voice reply content is corresponding, the data of the new driving information will be detected again.

The above-mentioned intelligent driving management system will start the second detection again after the end of step D., and the continuous detection is performed according to this cyclic mode, and the detection will not stop until the vehicle engine is stopped and stopped.

In step D. above, when the new data of the driving information matches the standard value, the test result is determined to be normal driving, and when the new data of the driving information does not match the standard value, the test is determined. The result is the dangerous driving.

The above-mentioned dangerous driving projects include: speeding, crossing red lights, crossing level crossings, meandering, arbitrary lane changes, improper braking, wrong gear shifting timing, no turning direction lights, no headlights, no distance, no attention to pedestrians, Failure to pay attention to one or any combination of obstacles, and the detection of the dangerous driving project, is achieved by the addition of a sensor or an advanced driving assistance system.

In the above step A. To start the engine of the vehicle, the biometric technology of an ID identification module needs to be passed first to identify and confirm whether it is the real driver of the vehicle.

At the above step B. When detecting that the vehicle is driving on an unscheduled route, unexplainedly stopping or staying in any place exceeds the set standard value, a voice message will be issued to warn, and in step C. after reply After the content of the voice reply, the intelligent driving management system analyzes the semantic response of the voice reply content to call for help, and then notifies the alarm to rescue.

In step C. above, after replying to the voice reply content, when the intelligent driving management system analyzes that the semantic content of the voice reply content is designated shopping, it will notify the delivery to the designated location according to the designated shopping service items.

In step B. above, further detect whether the vehicle status of the vehicle is abnormal through the driving computer to confirm whether all components of the vehicle are faulty, and issue the voice message of the vehicle fault.

In the above step C., an APP in a mobile phone is directly connected to the intelligent driving management system to control the opening of the vehicle door, the opening of the window 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 make a record, and can prove that the driver is in a known situation and the above dangerous driving The behavior should be used as a reference basis for insurance companies to calculate the amount of insurance premiums in the future, or as a judgment reference for investigating the responsibility for the relevant accidents.

2. Using continuous detection of driver's driving behavior and continuous voice reminder to correct the driver's dangerous driving behavior can reduce illegal driving, wrong driving and negligent driving, and can improve vehicle performance. At the same time, collect, analyze, judge and record all the driving information of the driver into a big data, so that the big data can be used in the future.

3. It can effectively prevent drivers from speeding, crossing red lights, crossing level crossings, snakes, arbitrarily changing lanes, improper braking, wrong gear shift timing, turning direction lights without turning, headlights not turning on, distances not being kept, and pedestrians not paying attention Or fail to pay attention to obstacles and other dangerous driving items.

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

5. Further, the driving computer can be used to detect whether the vehicle status of the vehicle is abnormal, so as to confirm whether all components of the vehicle have failed, and a voice message of the vehicle failure will be issued during the failure to notify the driver or passenger to pay attention. This enables early disposal or maintenance.

(1): Central control unit

(2): Detection module

(3): Voice reminder module

(31): Smart speaker

(32): Backup power

(4): Reply receiving module

(5): Signal transmission module

(6): ID identification 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.

[Second figure] is an operation flowchart of a smart driving management method according to an embodiment of the present invention.

[Third figure] It is a flow chart for detecting driving information of an intelligent driving management method according to an embodiment of the present invention.

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), a reply receiving module Group (4), signal transmission module (5) and ID identification module (6), in which: the central control unit (1), which can be installed in a vehicle and connected with a driving computer in the vehicle ( A) Connected, it continuously receives the driving information of the vehicle detected by the driving computer (A). The central control unit (1) can 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 status includes whether all components of the vehicle are abnormal or malfunctioning. The driver state includes data such as the driver's (B) emotion recognition, driving behavior, vehicle speed, braking information, lane offset, sensing radar detection distance, and 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 a distress message.

The detection module (2) is a signal connected to the central control unit (1). The detection module (2) sets a standard value for the driving information. When it is detected that the data of the driving information does not match the set standard value, a voice message is sent out through the central control unit (1). For example, the standard value sets the vehicle speed to 110km/h. When the detection module (2) detects that the vehicle computer (A) detects that the vehicle speed exceeds 110km/h, the central control unit (1) then The voice message will be sent out. The content of the voice message explains the current speed value, and reminds the driver (B) and the passenger (C) that the warning value has been exceeded and the speed should be slowed down. Another example is that the standard value is set to maintain a safe distance of more than 50m from the vehicle in front. If it is detected that the safe distance of the vehicle does not reach more than 50m, the voice message "Should maintain a safe distance" will be issued. For another example, when the low-speed gear [below 3 gears] is not used when going up or downhill, and the high-speed gear [behind 4 gears] is still maintained at the wrong shift timing, the voice message "should shift 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 reached its destination, it will stop for no reason or stop at any location After the time exceeds the set standard time, the central control unit (1) will send out the voice message to remind the driver (B) or the passenger (C) to answer the correct voice reply content to confirm Are there any abnormalities? The detection module (2) further detects whether the vehicle status of the vehicle is abnormal through the driving computer (A) to confirm whether all components of the vehicle are faulty. If there is an abnormality, the vehicle fault will also be issued. The voice message reminds the driver (B) and the passenger (C) to pay attention.

The voice reminder module (3) connects the signal to the central control unit (1). The voice reminder module (3) will receive the voice message from the central control unit (1) and play it. The voice reminder module (3) can connect a signal to a smart speaker (31) or a signal to a speaker device in the vehicle, so that the voice message can be played to remind the driver (B) or the passenger (C) Note. In addition, the smart speaker (31) may be provided with a backup power supply (32) to provide that when the smart speaker (31) is improperly turned off, the backup power supply (32) may still provide power to restart it. And when the smart speaker (31) is turned off improperly, 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) connects the signal 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 repeatedly play the voice message until the reply receiving module The group (4) will stop after receiving the voice reply content of the driver (B) or the passenger (C). For example, the content of the voice reply that the driver (B) replies is: "I already know that I am overspeeding and slow down." After receiving the voice reply content, the central control unit (1) analyzes whether the semantic meaning of the voice reply content corresponds to the semantic meaning of the voice message sent. If it corresponds to the semantic meaning of the voice message, the central control unit (1) receives the driving computer (A) again to detect the new driving information of the vehicle according to the content of the voice reply, and the detection module (2 ) Detect again whether the new data of the driving information is consistent with the set standard value, and generate a detection result according to the detection through the central control unit (1). 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 fallen below 110km/h, it is determined that The test result of the test was normal driving, and the test was ended. If the vehicle speed has not fallen below 110km/h, the central control unit (1) will determine that the test result is dangerous driving and end the test. After the central control unit (1) finishes the detection, it will start the second detection again, and the continuous detection is carried out in this cyclic mode, and the detection will not stop until the vehicle engine is stopped and stopped. For another example, when the passenger (C) responds to the voice reply content returned by the reply receiving module (4), it contains a shopping or help message. After receiving the voice reply content, the central control unit (1) is also Analyze whether the semantic meaning of the voice reply content corresponds to the semantic meaning of the voice message sent. If it corresponds to the semantic meaning of the voice message, the central control unit (1) performs the next step according to the content of the voice reply, for example, according to the specified service items, notify delivery to the specified location, or according to the help Message, and notify the police to rescue.

The signal transmitting module (5) is a signal connected to the central control unit (1). The signal transmitting module (5) receives the detection result and full-length 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 a reference basis for insurance companies to calculate the amount of insurance premiums in the future, or a reference for the judgment of accountability. Or according to the designated service items, such as notification of delivery to the designated location, or notification of the alarm based on the distress message.

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

The dangerous driving items of the above test results include: speeding, crossing red lights, crossing level crossings, meandering, arbitrary lane changes, turning without turning direction lights, not turning on the headlights, not keeping the distance, improper braking, wrong shift timing, lane Misalignment, unnoticed pedestrians or unnoticed obstacles. The present invention is mainly By continuously detecting the driving behavior of the driver (B) and continuous voice reminders to correct the dangerous driving behavior of the driver (B), illegal driving can be reduced [e.g. speeding, red light crossing, level crossing, snake walking, arbitrary transformation Lanes, cornering without turning lights, headlights not turned on or distance not maintained], wrong driving (e.g. improper braking, wrong shift timing) and negligent driving (e.g. lane deviation, failure to pay attention to pedestrians, failure to pay attention to obstacles) , And can improve the efficiency of the vehicle [for example: to remind the correct gear change with voice]. At the same time, all driving information of the driver (B) will be collected, analyzed, judged and recorded into a big data, so that the big data can be used in the future. For example, when calculating premiums, you can refer to the number of times the driver (B) has driven dangerously to decide whether to increase the premium. Or it may be used to prove that the driver (B) was in a situation known to have caused the above dangerous driving behavior when clarifying the responsibility for the accident. The detection of the above-mentioned dangerous driving is achieved by the addition of a sensor or an advanced driving assistance system (ADAS). The 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 in different states 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 manual customer service.

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

A. Connect to a driving computer (A) in a vehicle with an intelligent driving management system, and receive driving information of one of the vehicles detected by the driving computer. The driving information includes: a vehicle state, a driver state and a passenger state. The vehicle status includes whether all components of the vehicle are abnormal or malfunctioning, such as abnormal power output, abnormal pressure, abnormal 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 body lens image. The passenger status includes specifying a service item and whether it is in danger, such as shopping or sending a distress message. When the driver (B) wants to start the engine of the vehicle, The biometric technology of the ID identification module (6) is used to identify and confirm whether the driver (B) is the real driver of the vehicle, so as to avoid being guilty of others and driving the vehicle to commit crimes. When the driver (B) starts the engine of the vehicle, the intelligent driving management system is immediately activated to start the intelligent driving management method to detect all driving information operated by the driver (B) while driving Of data. And further detect 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.

B. The intelligent driving management system sets a standard value for the driving information. When it detects that the data of the driving information does not match the standard value, a voice message will be issued. When the vehicle starts to drive, it will generate various data such as the above driving information. 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 for setting the vehicle speed is below 110km/h. When the detection module (2) detects that the driving computer (A) detects that the vehicle speed 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 is to explain the current speed value, and to remind the driver (B) and the passenger (C) Note that the standard value has been exceeded, and the warning voice should be slowed down. Or when the driver (B) wants to misbehave the passenger (C) while driving. For example, when the driver (B) deliberately drives on an unscheduled route, that is, the route that will be passed along the road to the destination, the smart speaker (31) will issue a voice message warning that "the scheduled route has been exceeded" to Remind the driver (B) and the passenger (C). Or if the driver (B) has not yet reached his destination, that is, if the engine is turned off for no reason or the stay time at any location exceeds the set standard value, the voice message of "Vehicle staying too long" will also be issued. To remind the driver (B) and the passenger (C).

C. The intelligent driving management system receives a voice reply content, and based on the voice reply content, again detects whether the new driving information data is consistent with the standard value. When the driver (B) hears the above-mentioned voice message, he will reply to a voice reply content, for example, the voice reply content that the driver (B) replies is: "The speed is already known, and the speed is reduced." The intelligent driving management system) After receiving the voice reply content, the receiving module (4) transmits the voice reply content to the central control unit (1). And through the middle control unit (1), analyze the semantic meaning of the voice reply content, whether it corresponds to the semantic meaning of the voice message sent out. If it is determined that the semantic content of the voice reply content is corresponding, the central control unit (1) receives the driving computer (A) again to detect the new driving information according to the voice reply content, and the detection module ( 2) Check again whether the new data of the driving information is consistent with 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 predetermined route, stayed for too long, or stopped the fire for no reason, as long as the voice reply content of the passenger (C) includes semantics such as "distress", the central control unit (1) When parsing the semantic content of the voice reply content is for help, it will immediately call the cloud server (D) for rescue according to the help message. At the same time, the passenger (C) can also directly connect the central control unit (1) through the APP in a mobile phone (E) to control the opening of the vehicle door, the opening of the window, and the control of the smart speaker (31). The voice of help. When the smart speaker (31) is forcibly turned off by the driver (B), the passenger (C) can also directly provide the smart speaker (31) with the standby power supply (32) 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 make an order for scheduled shopping through the voice reply content returned by the reply receiving module (4), 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) analyzes that the semantic content of the voice reply content is shopping, it will notify the goods to the destination through the cloud server (D) 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 car fares.

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

D. The intelligent driving management system generates a detection result based on the new driving information. 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 fallen below 110km/h, the current The test result is normal driving, and the test ends. If the vehicle speed has not fallen below 110km/h, the central control unit (1) will determine the test result as dangerous driving and end the test. After the end of the detection, the central control unit (1) will start the second detection again, and the detection will be carried out in this cycle mode. The detection will not stop until the vehicle reaches the destination and the engine stops and stops running.

E. The intelligent driving management system outputs the test 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 whole recording produced by the central control unit (1), and outputs the detection result and the recording content to a cloud server (D ) And make records. In order to prove that the driver is in a known situation, and the above-mentioned dangerous driving behavior is used as a reference basis for the insurance company to calculate the amount of premiums in the future, or to judge the responsibility for the accident, and to ensure that the passenger (C) Of safety.

Based on the description of the above embodiments, the operation, use and effects of the present invention can be fully understood. However, 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

(4): Reply receiving module

(5): Signal transmission module

(6): ID identification module

(A): trip computer

(B): Driver

(C): Passenger

(D): Cloud server

(E): mobile phone

Claims (17)

An intelligent driving management system includes: a central control unit, which is connected to a driving computer in a vehicle, and receives driving information of the driving computer to detect one of the vehicles; 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 a data of the driving information does not match the standard value, a voice message will be sent out through the central control unit; 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 receives a Voice reply content, and send the voice reply content to the central control unit, based on the voice reply content, the central control unit receives the driving information that the driving computer detects the vehicle new again, and the detection module detects the new one again Whether the data of the driving information is consistent with the set standard value, a detection result is generated through the central control unit, and the detection result is determined to be normal driving or dangerous driving; an ID identification module is connected to the signal The central control unit is identified by a biological identification technology. As described in item 1 of the patent application scope, the intelligent driving management system, wherein the voice reminder module is provided with a smart speaker to play the voice message, the smart speaker is provided with a backup power supply to provide the smart speaker is turned off improperly At this time, the standby power supply is used to provide power to enable the smart speaker to start again, and when the smart speaker is improperly turned off, the voice message that the smart speaker will be turned off is also played to remind the attention. If the intelligent driving management system described in item 1 of the patent scope, wherein the reply receiving module does not receive the voice reply content within an interval, the voice alert module will repeatedly play the voice message, It will not stop until the reply receiving module receives the voice reply content. As described in item 1 of the patent application scope, the intelligent driving management system is further provided with a signal transmission module. The signal transmission module is a signal connected to the central control unit. The signal transmission module receives the detection result and records the whole process , And output the test result and the recorded content to a cloud server and record it. A smart driving management method, including the following steps: A. Connect a driving computer in a vehicle with a smart driving management system, and receive driving information that the driving computer detects one of the vehicles; B. The The intelligent driving management system sets a standard value for the driving information, and when it detects that the driving information data does not match the standard value, a voice message will be sent out; C. The intelligent driving management system receives a voice reply content, and According to the content of the voice reply, re-detect whether the data of the new driving information is consistent with 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 normal Driving or a dangerous driving. The intelligent driving management method as described in item 5 of the patent application scope further includes a step E. The intelligent driving management system records the whole process, and outputs the detection result and the recorded content to a cloud server and records it. The intelligent driving management method as described in item 5 of the patent application scope, wherein the driving information includes: a vehicle state, a driver state, and a passenger state, and the vehicle state includes whether all components of the vehicle are abnormal or malfunction, The driver state includes the data of one of emotion recognition, a driving behavior, a vehicle speed, a braking message, a lane offset, a detection distance of a sensor radar, a vehicle body lens image, or any combination thereof, The passenger status includes specifying a service item or sending a distress message. As described in item 5 of the patent application scope, the intelligent driving management method, wherein, in step C., the intelligent driving management system does not receive the voice reply content within an interval, it will repeatedly play the voice message, It will not stop until the voice reply is received. The intelligent driving management method as described in item 5 of the patent application scope, in which step C. After the intelligent driving management system receives the voice reply content, it first analyzes the semantics of the voice reply content and whether it is consistent with the sent out Corresponding to the semantic meaning of the voice message, if it is determined that the semantic meaning of the voice reply content is corresponding, the data of the new driving information will be detected again. The smart driving management method as described in item 5 of the patent application scope, in which the smart driving management system will start the second test again after the end of step D. The detection is stopped only when the engine of the vehicle stops running. If the smart driving management method described in item 5 of the patent application scope, wherein at step D. when the data of the new driving information detected is consistent with 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, it is determined that the detection result is the dangerous driving. The intelligent driving management method as described in item 5 of the patent application scope, in which the dangerous driving items include: speeding, running through red lights, crossing level crossings, meandering, arbitrary lane changes, improper braking, wrong gear shifting timing, wrong turning One or any combination of turning lights, headlights, distances, pedestrians, and obstacles, and the detection of dangerous driving items is an extra sensor or advanced driving assistance Reached by the system. The intelligent driving management method as described in item 5 of the patent application scope, in which in step A. when you want to start the engine of the vehicle, you need to first pass the biometric technology of an ID identification module to identify and confirm whether it is the The real driver of the vehicle. The intelligent driving management method as described in item 5 of the patent application scope, in which at step B. it is detected that the vehicle is driving on an unscheduled route, the engine is turned off for no reason, or the stay time at any place exceeds the set time When the standard value is set, the voice message will be warned, and in step C. After replying to the content of the voice reply, the intelligent driving management system will notify you when the semantic meaning of the voice reply content is for help Call the police for rescue. If the smart driving management method as described in item 5 of the patent application scope, in step C. after replying to the voice reply content, the smart driving management system parses the voice reply content as the specified shopping, then The delivery will be notified to the designated location according to the designated shopping service items. The smart driving management method as described in item 5 of the patent application scope, in which in step B., the vehicle computer is further used to detect whether the vehicle status of the vehicle is abnormal, to confirm whether all components of the vehicle are faulty, and issue the The voice message of vehicle failure. The smart driving management method as described in item 5 of the patent application scope, wherein in step C., an APP in a mobile phone is directly connected to the smart driving management system to control the opening of doors and windows of the vehicle Turn on and sound for help.

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